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Sample records for clustered metabolic risk

  1. Sedentary behaviour and clustered metabolic risk in adolescents: the HELENA study.

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    Rey-López, J P; Bel-Serrat, S; Santaliestra-Pasías, A; de Moraes, A C; Vicente-Rodríguez, G; Ruiz, J R; Artero, E G; Martínez-Gómez, D; Gottrand, F; De Henauw, S; Huybrechts, I; Polito, A; Molnar, D; Manios, Y; Moreno, L A

    2013-10-01

    Although sedentary behaviours are linked with mortality for cardiovascular reasons, it is not clear whether they are negatively related with cardio-metabolic risk factors. The aim was to examine the association between time engaged in television (TV) viewing or playing with videogames and a clustered cardio-metabolic risk in adolescents. Sedentary behaviours and physical activity were assessed in 769 adolescents (376 boys, aged 12.5-17.5 years) from the HELENA-CSS study. We measured systolic blood pressure, HOMA index, triglycerides, TC/HDL-c, VO₂max and the sum of four skinfolds, and a clustered metabolic risk index was computed. A multilevel regression model (by Poisson) was performed to calculate the prevalence ratio of having a clustered metabolic risk. In boys, playing >4 h/day with videogames (weekend) and moderate to vigorous PA (MVPA) was associated with cardio-metabolic risk after adjustment for age, maternal education and MVPA. In contrast, TV viewing was not associated with the presence of cardio-metabolic risk. In boys, playing with videogames may impair cardio-metabolic health during the adolescence. Adolescents should be encouraged to increase their participation in physical activity of at least moderate intensity to obtain a more favourable risk factor profile. Copyright © 2012 Elsevier B.V. All rights reserved.

  2. Cluster analysis of cardiovascular and metabolic risk factors in women of reproductive age.

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    Tzeng, Chii-Ruey; Chang, Yuan-chin Ivan; Chang, Yu-chia; Wang, Chia-Woei; Chen, Chi-Huang; Hsu, Ming-I

    2014-05-01

    To study the association between endocrine disturbances and metabolic complications in women seeking gynecologic care. Retrospective study, cluster analysis. Outpatient clinic, university medical center. 573 women, including 384 at low risk and 189 at high risk of cardiometabolic disease. None. Cardiovascular and metabolic parameters and clinical and biochemical characteristics. Risk factors for metabolic disease are associated with a low age of menarche, high levels of high-sensitivity C-reactive protein and liver enzymes, and low levels of sex hormone-binding globulin. Overweight/obese status, polycystic ovary syndrome, oligo/amenorrhea, and hyperandrogenism were found to increase the risk of cardiometabolic disease. However, hyperprolactinemia and premature ovarian failure were not associated with the risk of cardiometabolic disease. In terms of androgens, the serum total testosterone level and free androgen index but not androstenedione or dehydroepiandrosterone sulfate (DHEAS) were associated with cardiometabolic risk. Although polycystic ovary syndrome is associated with metabolic risk, obesity was the major determinant of cardiometabolic disturbances in reproductive-aged women. Hyperprolactinemia and premature ovarian failure were not associated with the risk of cardiovascular and metabolic diseases. NCT01826357. Copyright © 2014 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

  3. Physical activity and not sedentary time per se influences on clustered metabolic risk in elderly community-dwelling women.

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    Andreas Nilsson

    Full Text Available Whether amount of time spent in sedentary activities influences on clustered metabolic risk in elderly, and to what extent such an influence is independent of physical activity behavior, remain unclear. Therefore, the aim of the study was to examine cross-sectional associations of objectively assessed physical activity and sedentary behavior on metabolic risk outcomes in a sample of elderly community-dwelling women.Metabolic risk outcomes including waist circumference, systolic and diastolic blood pressures, fasting levels of plasma glucose, HDL-cholesterol and triglycerides were assessed in 120 community-dwelling older women (65-70 yrs. Accelerometers were used to retrieve daily sedentary time, breaks in sedentary time, daily time in light (LPA and moderate-to-vigorous physical activity (MVPA, and total amount of accelerometer counts. Multivariate regression models were used to examine influence of physical activity and sedentary behavior on metabolic risk outcomes including a clustered metabolic risk score.When based on isotemporal substitution modeling, replacement of a 10-min time block of MVPA with a corresponding time block of either LPA or sedentary activities was associated with an increase in clustered metabolic risk score (β = 0.06 to 0.08, p < 0.05, and an increase in waist circumference (β = 1.78 to 2.19 p < 0.01. All associations indicated between sedentary time and metabolic risk outcomes were lost once variation in total accelerometer counts was adjusted for.Detrimental influence of a sedentary lifestyle on metabolic health is likely explained by variations in amounts of physical activity rather than amount of sedentary time per se. Given our findings, increased amounts of physical activity with an emphasis on increased time in MVPA should be recommended in order to promote a favorable metabolic health profile in older women.

  4. Effect of Cardio-Metabolic Risk Factors Clustering with or without Arterial Hypertension on Arterial Stiffness: A Narrative Review

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    Vasilios G. Athyros

    2013-11-01

    Full Text Available The clustering of cardio-metabolic risk factors, either when called metabolic syndrome (MetS or not, substantially increases the risk of cardiovascular disease (CVD and causes mortality. One of the possible mechanisms for this clustering's adverse effect is an increase in arterial stiffness (AS, and in high central aortic blood pressure (CABP, which are significant and independent CVD risk factors. Arterial hypertension was connected to AS long ago; however, other MetS components (obesity, dyslipidaemia, dysglycaemia or MetS associated abnormalities not included in MetS diagnostic criteria (renal dysfunction, hyperuricaemia, hypercoaglutability, menopause, non alcoholic fatty liver disease, and obstructive sleep apnea have been implicated too. We discuss the evidence connecting these cardio-metabolic risk factors, which negatively affect AS and finally increase CVD risk. Furthermore, we discuss the impact of possible lifestyle and pharmacological interventions on all these cardio-metabolic risk factors, in an effort to reduce CVD risk and identify features that should be taken into consideration when treating MetS patients with or without arterial hypertension.

  5. Genomic and Metabolomic Profile Associated to Clustering of Cardio-Metabolic Risk Factors.

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    Marrachelli, Vannina G; Rentero, Pilar; Mansego, María L; Morales, Jose Manuel; Galan, Inma; Pardo-Tendero, Mercedes; Martinez, Fernando; Martin-Escudero, Juan Carlos; Briongos, Laisa; Chaves, Felipe Javier; Redon, Josep; Monleon, Daniel

    2016-01-01

    To identify metabolomic and genomic markers associated with the presence of clustering of cardiometabolic risk factors (CMRFs) from a general population. One thousand five hundred and two subjects, Caucasian, > 18 years, representative of the general population, were included. Blood pressure measurement, anthropometric parameters and metabolic markers were measured. Subjects were grouped according the number of CMRFs (Group 1: profile was assessed by 1H NMR spectra using a Brucker Advance DRX 600 spectrometer. From the total population, 1217 (mean age 54±19, 50.6% men) with high genotyping call rate were analysed. A differential metabolomic profile, which included products from mitochondrial metabolism, extra mitochondrial metabolism, branched amino acids and fatty acid signals were observed among the three groups. The comparison of metabolomic patterns between subjects of Groups 1 to 3 for each of the genotypes associated to those subjects with three or more CMRFs revealed two SNPs, the rs174577_AA of FADS2 gene and the rs3803_TT of GATA2 transcription factor gene, with minimal or no statistically significant differences. Subjects with and without three or more CMRFs who shared the same genotype and metabolomic profile differed in the pattern of CMRFS cluster. Subjects of Group 3 and the AA genotype of the rs174577 had a lower prevalence of hypertension compared to the CC and CT genotype. In contrast, subjects of Group 3 and the TT genotype of the rs3803 polymorphism had a lower prevalence of T2DM, although they were predominantly males and had higher values of plasma creatinine. The results of the present study add information to the metabolomics profile and to the potential impact of genetic factors on the variants of clustering of cardiometabolic risk factors.

  6. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016

    DEFF Research Database (Denmark)

    Moesgaard Iburg, Kim

    2017-01-01

    surveillance and inform policy debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs......), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR......) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated...

  7. Arterial stiffness and its association with clustering of metabolic syndrome risk factors

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    Wanda R. P. Lopes-Vicente

    2017-10-01

    Full Text Available Abstract Background Metabolic syndrome (MetS is associated with structural and functional vascular abnormalities, which may lead to increased arterial stiffness, more frequent cardiovascular events and higher mortality. However, the role played by clustering of risk factors and the combining pattern of MetS risk factors and their association with the arterial stiffness have yet to be fully understood. Age, hypertension and diabetes mellitus seem to be strongly associated with increased pulse wave velocity (PWV. This study aimed at determining the clustering and combining pattern of MetS risk factors and their association with the arterial stiffness in non-diabetic and non-hypertensive patients. Methods Recently diagnosed and untreated patients with MetS (n = 64, 49 ± 8 year, 32 ± 4 kg/m2 were selected, according to ATP III criteria and compared to a control group (Control, n = 17, 49 ± 6 year, 27 ± 2 kg/m2. Arterial stiffness was evaluated by PWV in the carotid-femoral segment. Patients were categorized and analyzed according MetS risk factors clustering (3, 4 and 5 factors and its combinations. Results Patients with MetS had increased PWV when compared to Control (7.8 ± 1.1 vs. 7.0 ± 0.5 m/s, p < 0.001. In multivariate analysis, the variables that remained as predictors of PWV were age (β = 0.450, p < 0.001, systolic blood pressure (β = 0.211, p = 0.023 and triglycerides (β = 0.212, p = 0.037. The increased number of risk factors reflected in a progressive increase in PWV. When adjusted to systolic blood pressure, PWV was greater in the group with 5 risk factors when compared to the group with 3 risk factors and Control (8.5 ± 0.4 vs. 7.5 ± 0.2, p = 0.011 and 7.2 ± 0.3 m/s, p = 0.012. Similarly, the 4 risk factors group had higher PWV than the Control (7.9 ± 0.2 vs. 7.2 ± 0.3, p = 0.047. Conclusions The number of risk factors seems to increase arterial stiffness. Notably, besides

  8. Metabolic syndrome and cardiometabolic risk in PCOS.

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    Cussons, Andrea J; Stuckey, Bronwyn G A; Watts, Gerald F

    2007-02-01

    The cardiovascular risk associated with the polycystic ovary syndrome (PCOS) has recently attracted much interest. Women with PCOS are more likely to fulfill the diagnosis of the metabolic syndrome, a cluster of related cardiometabolic factors known to predict long-term risk of cardiovascular disease and type 2 diabetes. We review the literature pertaining to the link between the metabolic syndrome, cardiovascular disease, and PCOS. We focus on the influence of obesity and hyperandrogenemia, and on strategies for identifying cardiovascular risk in PCOS.

  9. The Metabolic Syndrome in Children and Adolescents: Shifting the Focus to Cardiometabolic Risk Factor Clustering.

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    Magge, Sheela N; Goodman, Elizabeth; Armstrong, Sarah C

    2017-07-24

    Metabolic syndrome (MetS) was developed by the National Cholesterol Education Program Adult Treatment Panel III, identifying adults with at least 3 of 5 cardiometabolic risk factors (hyperglycemia, increased central adiposity, elevated triglycerides, decreased high-density lipoprotein cholesterol, and elevated blood pressure) who are at increased risk of diabetes and cardiovascular disease. The constellation of MetS component risk factors has a shared pathophysiology and many common treatment approaches grounded in lifestyle modification. Several attempts have been made to define MetS in the pediatric population. However, in children, the construct is difficult to define and has unclear implications for clinical care. In this Clinical Report, we focus on the importance of screening for and treating the individual risk factor components of MetS. Focusing attention on children with cardiometabolic risk factor clustering is emphasized over the need to define a pediatric MetS. Copyright © 2017 by the American Academy of Pediatrics.

  10. Clustered metabolic abnormalities blunt regression of hypertensive left ventricular hypertrophy: the LIFE study

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    de Simone, G; Okin, P M; Gerdts, E

    2009-01-01

    BACKGROUND AND AIMS: Clusters of metabolic abnormalities resembling phenotypes of metabolic syndrome predicted outcome in the LIFE study, independently of single risk markers, including obesity, diabetes and baseline ECG left ventricular hypertrophy (LVH). We examined whether clusters of two......-duration product (CP) over 5 years was assessed using a quadratic polynomial contrast, adjusting for age, sex, prevalent cardiovascular disease and treatment arm (losartan or atenolol). At baseline, despite similar blood pressures, CP was greater in the presence than in the absence of MetAb (p

  11. Prevalence of Metabolic Syndrome and Its Components among Japanese Workers by Clustered Business Category.

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    Hidaka, Tomoo; Hayakawa, Takehito; Kakamu, Takeyasu; Kumagai, Tomohiro; Hiruta, Yuhei; Hata, Junko; Tsuji, Masayoshi; Fukushima, Tetsuhito

    2016-01-01

    The present study was a cross-sectional study conducted to reveal the prevalence of metabolic syndrome and its components and describe the features of such prevalence among Japanese workers by clustered business category using big data. The data of approximately 120,000 workers were obtained from a national representative insurance organization, and the study analyzed the health checkup and questionnaire results according to the field of business of each subject. Abnormalities found during the checkups such as excessive waist circumference, hypertension or glucose intolerance, and metabolic syndrome, were recorded. All subjects were classified by business field into 18 categories based on The North American Industry Classification System. Based on the criteria of the Japanese Committee for the Diagnostic Criteria of Metabolic Syndrome, the standardized prevalence ratio (SPR) of metabolic syndrome and its components by business category was calculated, and the 95% confidence interval of the SPR was computed. Hierarchical cluster analysis was then performed based on the SPR of metabolic syndrome components, and the 18 business categories were classified into three clusters for both males and females. The following business categories were at significantly high risk of metabolic syndrome: among males, Construction, Transportation, Professional Services, and Cooperative Association; and among females, Health Care and Cooperative Association. The results of the cluster analysis indicated one cluster for each gender with a higher prevalence of metabolic syndrome components; among males, a cluster consisting of Manufacturing, Transportation, Finance, and Cooperative Association, and among females, a cluster consisting of Mining, Transportation, Finance, Accommodation, and Cooperative Association. These findings reveal that, when providing health guidance and support regarding metabolic syndrome, consideration must be given to its components and the variety of its

  12. Prevalence of Metabolic Syndrome and Its Components among Japanese Workers by Clustered Business Category.

    Directory of Open Access Journals (Sweden)

    Tomoo Hidaka

    Full Text Available The present study was a cross-sectional study conducted to reveal the prevalence of metabolic syndrome and its components and describe the features of such prevalence among Japanese workers by clustered business category using big data. The data of approximately 120,000 workers were obtained from a national representative insurance organization, and the study analyzed the health checkup and questionnaire results according to the field of business of each subject. Abnormalities found during the checkups such as excessive waist circumference, hypertension or glucose intolerance, and metabolic syndrome, were recorded. All subjects were classified by business field into 18 categories based on The North American Industry Classification System. Based on the criteria of the Japanese Committee for the Diagnostic Criteria of Metabolic Syndrome, the standardized prevalence ratio (SPR of metabolic syndrome and its components by business category was calculated, and the 95% confidence interval of the SPR was computed. Hierarchical cluster analysis was then performed based on the SPR of metabolic syndrome components, and the 18 business categories were classified into three clusters for both males and females. The following business categories were at significantly high risk of metabolic syndrome: among males, Construction, Transportation, Professional Services, and Cooperative Association; and among females, Health Care and Cooperative Association. The results of the cluster analysis indicated one cluster for each gender with a higher prevalence of metabolic syndrome components; among males, a cluster consisting of Manufacturing, Transportation, Finance, and Cooperative Association, and among females, a cluster consisting of Mining, Transportation, Finance, Accommodation, and Cooperative Association. These findings reveal that, when providing health guidance and support regarding metabolic syndrome, consideration must be given to its components and the

  13. Low muscle fitness is associated with metabolic risk in youth

    DEFF Research Database (Denmark)

    Steene-Johannessen, Jostein; Anderssen, Sigmund A; Kolle, Elin

    2009-01-01

    PURPOSE: To examine the independent associations of muscle fitness and cardiorespiratory fitness with clustered metabolic risk in youth. METHODS: In 2005-2006, a cohort of 9- and 15-yr-olds (N = 2818) was randomly selected from all regions of Norway. The participation rate was 89% and 74% among...... the 9-and 15-yr-olds, respectively. We assessed muscular strength by measuring explosive, isometric, and endurance strength. Cardiorespiratory fitness was measured directly as peak oxygen uptake during a cycle ergometry test. Risk factors included in the composite risk factor score (sum of z......-scores) were systolic blood pressure, triglyceride, high-density lipoprotein cholesterol, insulin resistance, and waist circumference. RESULTS: Muscle fitness was negatively associated with clustered metabolic risk, independent of cardiorespiratory fitness, and after adjustment for age, sex, and pubertal stage...

  14. Work stress and metabolic and hemostatic risk factors

    NARCIS (Netherlands)

    Vrijkotte, T. G.; van Doornen, L. J.; de Geus, E. J.

    1999-01-01

    A high level of work stress has been associated with cardiovascular disease. However, the pathophysiological mechanisms underlying this association remain unclear. This study examined the effect of work stress on a cluster of metabolic and hemostatic risk factors. Blood was collected three times, on

  15. The risk of metabolic syndrome and nutrition

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    Aleksandr Konstantinovich Kuntsevich

    2015-02-01

    Full Text Available In the present literature review modern epidemiological studies the role of nutrition in the prevalence of the metabolic syndrome. Were analyzed mainly work on the association of certain types of dietary intake of the population to the risk of metabolic syndrome in several Western and Asian countries. The purpose of these studies was to determine deemed "good" type and the "bad" type of food, risk assessment and exchange of metabolic disorders to determine the optimal dietary recommendations.  Application of factor and cluster analysis allowed in a number of studies to identify groups of products associated with a decrease in the prevalence of metabolic syndrome and to estimate the odds ratios of metabolic syndrome when compared with the "bad" diet.  A number of papers were obtained confirm the effectiveness of the Mediterranean diet in the prevention of metabolic disorders. Commitment to the traditional Western diet is associated with deterioration in health, compared with the recommended "healthy" diet.  Data from epidemiological studies nutrition and metabolic disorders associated with a number of diseases, may be useful in determining how the recommendations on the best type of feeding the population, so to identify ways to further research.

  16. Metabolic syndrome and the development of vascular disease and type 2 diabetes in high-risk patients

    NARCIS (Netherlands)

    Wassink, A.M.J.

    2009-01-01

    Abdominal obesity and its associated insulin resistance play a key role in the clustering of vascular risk factors, known as Metabolic Syndrome. Subjects with Metabolic Syndrome are at increased risk for the development of both type 2 diabetes and cardiovascular disease. Type 2 diabetes and

  17. Influence of physical fitness on cardio-metabolic risk factors in European children. The IDEFICS study.

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    Zaqout, M; Michels, N; Bammann, K; Ahrens, W; Sprengeler, O; Molnar, D; Hadjigeorgiou, C; Eiben, G; Konstabel, K; Russo, P; Jiménez-Pavón, D; Moreno, L A; De Henauw, S

    2016-07-01

    The aim of the study was to assess the associations of individual and combined physical fitness components with single and clustering of cardio-metabolic risk factors in children. This 2-year longitudinal study included a total of 1635 European children aged 6-11 years. The test battery included cardio-respiratory fitness (20-m shuttle run test), upper-limb strength (handgrip test), lower-limb strength (standing long jump test), balance (flamingo test), flexibility (back-saver sit-and-reach) and speed (40-m sprint test). Metabolic risk was assessed through z-score standardization using four components: waist circumference, blood pressure (systolic and diastolic), blood lipids (triglycerides and high-density lipoprotein) and insulin resistance (homeostasis model assessment). Mixed model regression analyses were adjusted for sex, age, parental education, sugar and fat intake, and body mass index. Physical fitness was inversely associated with clustered metabolic risk (P<0.001). All coefficients showed a higher clustered metabolic risk with lower physical fitness, except for upper-limb strength (β=0.057; P=0.002) where the opposite association was found. Cardio-respiratory fitness (β=-0.124; P<0.001) and lower-limb strength (β=-0.076; P=0.002) were the most important longitudinal determinants. The effects of cardio-respiratory fitness were even independent of the amount of vigorous-to-moderate activity (β=-0.059; P=0.029). Among all the metabolic risk components, blood pressure seemed not well predicted by physical fitness, while waist circumference, blood lipids and insulin resistance all seemed significantly predicted by physical fitness. Poor physical fitness in children is associated with the development of cardio-metabolic risk factors. Based on our results, this risk might be modified by improving mainly cardio-respiratory fitness and lower-limb muscular strength.

  18. Global, regional, and national comparative risk assessment of 79 behavioral, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

    DEFF Research Database (Denmark)

    Moesgaard Iburg, Kim

    2016-01-01

    inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group......, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk...... pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood...

  19. Metabolic Risk Profile and Cancer in Korean Men and Women.

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    Ko, Seulki; Yoon, Seok-Jun; Kim, Dongwoo; Kim, A-Rim; Kim, Eun-Jung; Seo, Hye-Young

    2016-05-01

    Metabolic syndrome is a cluster of risk factors for type 2 diabetes mellitus and cardiovascular disease. Associations between metabolic syndrome and several types of cancer have recently been documented. We analyzed the sample cohort data from the Korean National Health Insurance Service from 2002, with a follow-up period extending to 2013. The cohort data included 99 565 individuals who participated in the health examination program and whose data were therefore present in the cohort database. The metabolic risk profile of each participant was assessed based on obesity, high serum glucose and total cholesterol levels, and high blood pressure. The occurrence of cancer was identified using Korean National Health Insurance claims data. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models, adjusting for age group, smoking status, alcohol intake, and regular exercise. A total of 5937 cases of cancer occurred during a mean follow-up period of 10.4 years. In men with a high-risk metabolic profile, the risk of colon cancer was elevated (HR, 1.40; 95% CI, 1.14 to 1.71). In women, a high-risk metabolic profile was associated with a significantly increased risk of gallbladder and biliary tract cancer (HR, 2.05; 95% CI, 1.24 to 3.42). Non-significantly increased risks were observed in men for pharynx, larynx, rectum, and kidney cancer, and in women for colon, liver, breast, and ovarian cancer. The findings of this study support the previously suggested association between metabolic syndrome and the risk of several cancers. A high-risk metabolic profile may be an important risk factor for colon cancer in Korean men and gallbladder and biliary tract cancer in Korean women.

  20. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab).

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    Healy, Genevieve N; Wijndaele, Katrien; Dunstan, David W; Shaw, Jonathan E; Salmon, Jo; Zimmet, Paul Z; Owen, Neville

    2008-02-01

    We examined the associations of objectively measured sedentary time and physical activity with continuous indexes of metabolic risk in Australian adults without known diabetes. An accelerometer was used to derive the percentage of monitoring time spent sedentary and in light-intensity and moderate-to-vigorous-intensity activity, as well as mean activity intensity, in 169 Australian Diabetes, Obesity and Lifestyle Study (AusDiab) participants (mean age 53.4 years). Associations with waist circumference, triglycerides, HDL cholesterol, resting blood pressure, fasting plasma glucose, and a clustered metabolic risk score were examined. Independent of time spent in moderate-to-vigorous-intensity activity, there were significant associations of sedentary time, light-intensity time, and mean activity intensity with waist circumference and clustered metabolic risk. Independent of waist circumference, moderate-to-vigorous-intensity activity time was significantly beneficially associated with triglycerides. These findings highlight the importance of decreasing sedentary time, as well as increasing time spent in physical activity, for metabolic health.

  1. Metabolic risk-factor clustering estimation in children: to draw a line across pediatric metabolic syndrome

    DEFF Research Database (Denmark)

    Brambilla, P; Lissau, I; Flodmark, C-E

    2007-01-01

    BACKGROUND: The diagnostic criteria of the metabolic syndrome (MS) have been applied in studies of obese adults to estimate the metabolic risk-associated with obesity, even though no general consensus exists concerning its definition and clinical value. We reviewed the current literature on the MS......, focusing on those studies that used the MS diagnostic criteria to analyze children, and we observed extreme heterogeneity for the sets of variables and cutoff values chosen. OBJECTIVES: To discuss concerns regarding the use of the existing definition of the MS (as defined in adults) in children...... derived from a child's family and personal history; the lack of consensus on insulin levels, lipid parameters, markers of inflammation or steato-hepatitis; the lack of an additive relevant effect of the MS definition to obesity per se. We propose the adoption of 10 evidence-based items from which...

  2. Transporter’s evolution and carbohydrate metabolic clusters

    NARCIS (Netherlands)

    Plantinga, Titia H.; Does, Chris van der; Driessen, Arnold J.M.

    2004-01-01

    The yiaQRS genes of Escherichia coli K-12 are involved in carbohydrate metabolism. Clustering of homologous genes was found throughout several unrelated bacteria. Strikingly, all four bacterial transport protein classes were found, conserving transport function but not mechanism. It appears that

  3. Independent associations of physical activity and cardiorespiratory fitness with metabolic risk factors in children: the European youth heart study

    DEFF Research Database (Denmark)

    Ekelund, U; Anderssen, S A; Froberg, K

    2007-01-01

    AIMS/HYPOTHESIS: High levels of cardiorespiratory fitness (CRF) and physical activity (PA) are associated with a favourable metabolic risk profile. However, there has been no thorough exploration of the independent contributions of cardiorespiratory fitness and subcomponents of activity (total PA...... the association between activity and clustered risk is independent of adiposity. Our results suggest that fitness and activity affect metabolic risk through different pathways....

  4. Cardiometabolic risk clustering in spinal cord injury: results of exploratory factor analysis.

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    Libin, Alexander; Tinsley, Emily A; Nash, Mark S; Mendez, Armando J; Burns, Patricia; Elrod, Matt; Hamm, Larry F; Groah, Suzanne L

    2013-01-01

    Evidence suggests an elevated prevalence of cardiometabolic risks among persons with spinal cord injury (SCI); however, the unique clustering of risk factors in this population has not been fully explored. The purpose of this study was to describe unique clustering of cardiometabolic risk factors differentiated by level of injury. One hundred twenty-one subjects (mean 37 ± 12 years; range, 18-73) with chronic C5 to T12 motor complete SCI were studied. Assessments included medical histories, anthropometrics and blood pressure, and fasting serum lipids, glucose, insulin, and hemoglobin A1c (HbA1c). The most common cardiometabolic risk factors were overweight/obesity, high levels of low-density lipoprotein (LDL-C), and low levels of high-density lipoprotein (HDL-C). Risk clustering was found in 76.9% of the population. Exploratory principal component factor analysis using varimax rotation revealed a 3-factor model in persons with paraplegia (65.4% variance) and a 4-factor solution in persons with tetraplegia (73.3% variance). The differences between groups were emphasized by the varied composition of the extracted factors: Lipid Profile A (total cholesterol [TC] and LDL-C), Body Mass-Hypertension Profile (body mass index [BMI], systolic blood pressure [SBP], and fasting insulin [FI]); Glycemic Profile (fasting glucose and HbA1c), and Lipid Profile B (TG and HDL-C). BMI and SBP formed a separate factor only in persons with tetraplegia. Although the majority of the population with SCI has risk clustering, the composition of the risk clusters may be dependent on level of injury, based on a factor analysis group comparison. This is clinically plausible and relevant as tetraplegics tend to be hypo- to normotensive and more sedentary, resulting in lower HDL-C and a greater propensity toward impaired carbohydrate metabolism.

  5. Diet composition and activity level of at risk and metabolically healthy obese American adults.

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    Hankinson, Arlene L; Daviglus, Martha L; Van Horn, Linda; Chan, Queenie; Brown, Ian; Holmes, Elaine; Elliott, Paul; Stamler, Jeremiah

    2013-03-01

    Obesity often clusters with other major cardiovascular disease risk factors, yet a subset of the obese appears to be protected from these risks. Two obesity phenotypes are described, (i) "metabolically healthy" obese, broadly defined as body mass index (BMI) ≥ 30 kg/m(2) and favorable levels of blood pressure, lipids, and glucose; and (ii) "at risk" obese, BMI ≥ 30 with unfavorable levels of these risk factors. More than 30% of obese American adults are metabolically healthy. Diet and activity determinants of obesity phenotypes are unclear. We hypothesized that metabolically healthy obese have more favorable behavioral factors, including less adverse diet composition and higher activity levels than at risk obese in the multi-ethnic group of 775 obese American adults ages 40-59 years from the International Population Study on Macro/Micronutrients and Blood Pressure (INTERMAP) cohort. In gender-stratified analyses, mean values for diet composition and activity behavior variables, adjusted for age, race, and education, were compared between metabolically healthy and at risk obese. Nearly one in five (149/775 or 19%) of obese American INTERMAP participants were classified as metabolically healthy obese. Diet composition and most activity behaviors were similar between obesity phenotypes, although metabolically healthy obese women reported higher sleep duration than at risk obese women. These results do not support hypotheses that diet composition and/or physical activity account for the absence of cardiometabolic abnormalities in metabolically healthy obese. Copyright © 2012 The Obesity Society.

  6. Improving clustering with metabolic pathway data.

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    Milone, Diego H; Stegmayer, Georgina; López, Mariana; Kamenetzky, Laura; Carrari, Fernando

    2014-04-10

    It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge. This procedure helps finding functionally related patterns to propose hypotheses for their behavior and the biological processes involved. Therefore, this knowledge is used only as a second step, after data are just clustered according to their expression patterns. Thus, it could be very useful to be able to improve the clustering of biological data by incorporating prior knowledge into the cluster formation itself, in order to enhance the biological value of the clusters. A novel training algorithm for clustering is presented, which evaluates the biological internal connections of the data points while the clusters are being formed. Within this training algorithm, the calculation of distances among data points and neurons centroids includes a new term based on information from well-known metabolic pathways. The standard self-organizing map (SOM) training versus the biologically-inspired SOM (bSOM) training were tested with two real data sets of transcripts and metabolites from Solanum lycopersicum and Arabidopsis thaliana species. Classical data mining validation measures were used to evaluate the clustering solutions obtained by both algorithms. Moreover, a new measure that takes into account the biological connectivity of the clusters was applied. The results of bSOM show important improvements in the convergence and performance for the proposed clustering method in comparison to standard SOM training, in particular, from the application point of view. Analyses of the clusters obtained with bSOM indicate that including biological information during training can certainly increase the biological value of the clusters found with the proposed method. It is worth to highlight that this fact has effectively improved the results, which can simplify their further analysis.The algorithm is available as a

  7. The metabolic syndrome among Danish seafarers

    DEFF Research Database (Denmark)

    Jepsen, Jørgen Riis; Rasmussen, Hanna Barbara

    2016-01-01

    Background: The metabolic syndrome (MS) represents a cluster of risk factors related to insulin resistance. Metabolic syndrome is a strong risk factor for chronic metabolic and cardiovascular diseases and is related to nutritional factors, sleep patterns, work-related stress, fatigue, and physical...

  8. Role of androgen excess on metabolic aberrations and cardiovascular risk in women with polycystic ovary syndrome.

    Science.gov (United States)

    Christakou, Charikleia D; Diamanti-Kandarakis, Evanthia

    2008-11-01

    Polycystic ovary syndrome (PCOS) is associated with a clustering of metabolic and cardiovascular risk factors. Insulin resistance is implicated as the major player in the metabolic abnormalities and contributes to the increased cardiovascular risk associated with the syndrome. However, androgen excess appears to participate as an independent parameter, which further aggravates the cardiovascular and metabolic aberrations in affected women with PCOS. The resultant impact of hyperandrogenemia possibly acquires clinical significance for women's health in the context of PCOS, particularly since recent data support an increased incidence of coronary artery disease and of cardiovascular events directly related to androgen levels in women with the syndrome.

  9. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

    Science.gov (United States)

    Forouzanfar, Mohammad H; Alexander, Lily; Anderson, H Ross; Bachman, Victoria F; Biryukov, Stan; Brauer, Michael; Burnett, Richard; Casey, Daniel; Coates, Matthew M; Cohen, Aaron; Delwiche, Kristen; Estep, Kara; Frostad, Joseph J; Astha, K C; Kyu, Hmwe H; Moradi-Lakeh, Maziar; Ng, Marie; Slepak, Erica Leigh; Thomas, Bernadette A; Wagner, Joseph; Aasvang, Gunn Marit; Abbafati, Cristiana; Abbasoglu Ozgoren, Ayse; Abd-Allah, Foad; Abera, Semaw F; Aboyans, Victor; Abraham, Biju; Abraham, Jerry Puthenpurakal; Abubakar, Ibrahim; Abu-Rmeileh, Niveen M E; Aburto, Tania C; Achoki, Tom; Adelekan, Ademola; Adofo, Koranteng; Adou, Arsène K; Adsuar, José C; Afshin, Ashkan; Agardh, Emilie E; Al Khabouri, Mazin J; Al Lami, Faris H; Alam, Sayed Saidul; Alasfoor, Deena; Albittar, Mohammed I; Alegretti, Miguel A; Aleman, Alicia V; Alemu, Zewdie A; Alfonso-Cristancho, Rafael; Alhabib, Samia; Ali, Raghib; Ali, Mohammed K; Alla, François; Allebeck, Peter; Allen, Peter J; Alsharif, Ubai; Alvarez, Elena; Alvis-Guzman, Nelson; Amankwaa, Adansi A; Amare, Azmeraw T; Ameh, Emmanuel A; Ameli, Omid; Amini, Heresh; Ammar, Walid; Anderson, Benjamin O; Antonio, Carl Abelardo T; Anwari, Palwasha; Argeseanu Cunningham, Solveig; Arnlöv, Johan; Arsenijevic, Valentina S Arsic; Artaman, Al; Asghar, Rana J; Assadi, Reza; Atkins, Lydia S; Atkinson, Charles; Avila, Marco A; Awuah, Baffour; Badawi, Alaa; Bahit, Maria C; Bakfalouni, Talal; Balakrishnan, Kalpana; Balalla, Shivanthi; Balu, Ravi Kumar; Banerjee, Amitava; Barber, Ryan M; Barker-Collo, Suzanne L; Barquera, Simon; Barregard, Lars; Barrero, Lope H; Barrientos-Gutierrez, Tonatiuh; Basto-Abreu, Ana C; Basu, Arindam; Basu, Sanjay; Basulaiman, Mohammed O; Batis Ruvalcaba, Carolina; Beardsley, Justin; Bedi, Neeraj; Bekele, Tolesa; Bell, Michelle L; Benjet, Corina; Bennett, Derrick A; Benzian, Habib; Bernabé, Eduardo; Beyene, Tariku J; Bhala, Neeraj; Bhalla, Ashish; Bhutta, Zulfiqar A; Bikbov, Boris; Bin Abdulhak, Aref A; Blore, Jed D; Blyth, Fiona M; Bohensky, Megan A; Bora Başara, Berrak; Borges, Guilherme; Bornstein, Natan M; Bose, Dipan; Boufous, Soufiane; Bourne, Rupert R; Brainin, Michael; Brazinova, Alexandra; Breitborde, Nicholas J; Brenner, Hermann; Briggs, Adam D M; Broday, David M; Brooks, Peter M; Bruce, Nigel G; Brugha, Traolach S; Brunekreef, Bert; Buchbinder, Rachelle; Bui, Linh N; Bukhman, Gene; Bulloch, Andrew G; Burch, Michael; Burney, Peter G J; Campos-Nonato, Ismael R; Campuzano, Julio C; Cantoral, Alejandra J; Caravanos, Jack; Cárdenas, Rosario; Cardis, Elisabeth; Carpenter, David O; Caso, Valeria; Castañeda-Orjuela, Carlos A; Castro, Ruben E; Catalá-López, Ferrán; Cavalleri, Fiorella; Çavlin, Alanur; Chadha, Vineet K; Chang, Jung-Chen; Charlson, Fiona J; Chen, Honglei; Chen, Wanqing; Chen, Zhengming; Chiang, Peggy P; Chimed-Ochir, Odgerel; Chowdhury, Rajiv; Christophi, Costas A; Chuang, Ting-Wu; Chugh, Sumeet S; Cirillo, Massimo; Claßen, Thomas K D; Colistro, Valentina; Colomar, Mercedes; Colquhoun, Samantha M; Contreras, Alejandra G; Cooper, Cyrus; Cooperrider, Kimberly; Cooper, Leslie T; Coresh, Josef; Courville, Karen J; Criqui, Michael H; Cuevas-Nasu, Lucia; Damsere-Derry, James; Danawi, Hadi; Dandona, Lalit; Dandona, Rakhi; Dargan, Paul I; Davis, Adrian; Davitoiu, Dragos V; Dayama, Anand; de Castro, E Filipa; De la Cruz-Góngora, Vanessa; De Leo, Diego; de Lima, Graça; Degenhardt, Louisa; del Pozo-Cruz, Borja; Dellavalle, Robert P; Deribe, Kebede; Derrett, Sarah; Des Jarlais, Don C; Dessalegn, Muluken; deVeber, Gabrielle A; Devries, Karen M; Dharmaratne, Samath D; Dherani, Mukesh K; Dicker, Daniel; Ding, Eric L; Dokova, Klara; Dorsey, E Ray; Driscoll, Tim R; Duan, Leilei; Durrani, Adnan M; Ebel, Beth E; Ellenbogen, Richard G; Elshrek, Yousef M; Endres, Matthias; Ermakov, Sergey P; Erskine, Holly E; Eshrati, Babak; Esteghamati, Alireza; Fahimi, Saman; Faraon, Emerito Jose A; Farzadfar, Farshad; Fay, Derek F J; Feigin, Valery L; Feigl, Andrea B; Fereshtehnejad, Seyed-Mohammad; Ferrari, Alize J; Ferri, Cleusa P; Flaxman, Abraham D; Fleming, Thomas D; Foigt, Nataliya; Foreman, Kyle J; Paleo, Urbano Fra; Franklin, Richard C; Gabbe, Belinda; Gaffikin, Lynne; Gakidou, Emmanuela; Gamkrelidze, Amiran; Gankpé, Fortuné G; Gansevoort, Ron T; García-Guerra, Francisco A; Gasana, Evariste; Geleijnse, Johanna M; Gessner, Bradford D; Gething, Pete; Gibney, Katherine B; Gillum, Richard F; Ginawi, Ibrahim A M; Giroud, Maurice; Giussani, Giorgia; Goenka, Shifalika; Goginashvili, Ketevan; Gomez Dantes, Hector; Gona, Philimon; Gonzalez de Cosio, Teresita; González-Castell, Dinorah; Gotay, Carolyn C; Goto, Atsushi; Gouda, Hebe N; Guerrant, Richard L; Gugnani, Harish C; Guillemin, Francis; Gunnell, David; Gupta, Rahul; Gupta, Rajeev; Gutiérrez, Reyna A; Hafezi-Nejad, Nima; Hagan, Holly; Hagstromer, Maria; Halasa, Yara A; Hamadeh, Randah R; Hammami, Mouhanad; Hankey, Graeme J; Hao, Yuantao; Harb, Hilda L; Haregu, Tilahun Nigatu; Haro, Josep Maria; Havmoeller, Rasmus; Hay, Simon I; Hedayati, Mohammad T; Heredia-Pi, Ileana B; Hernandez, Lucia; Heuton, Kyle R; Heydarpour, Pouria; Hijar, Martha; Hoek, Hans W; Hoffman, Howard J; Hornberger, John C; Hosgood, H Dean; Hoy, Damian G; Hsairi, Mohamed; Hu, Guoqing; Hu, Howard; Huang, Cheng; Huang, John J; Hubbell, Bryan J; Huiart, Laetitia; Husseini, Abdullatif; Iannarone, Marissa L; Iburg, Kim M; Idrisov, Bulat T; Ikeda, Nayu; Innos, Kaire; Inoue, Manami; Islami, Farhad; Ismayilova, Samaya; Jacobsen, Kathryn H; Jansen, Henrica A; Jarvis, Deborah L; Jassal, Simerjot K; Jauregui, Alejandra; Jayaraman, Sudha; Jeemon, Panniyammakal; Jensen, Paul N; Jha, Vivekanand; Jiang, Fan; Jiang, Guohong; Jiang, Ying; Jonas, Jost B; Juel, Knud; Kan, Haidong; Kany Roseline, Sidibe S; Karam, Nadim E; Karch, André; Karema, Corine K; Karthikeyan, Ganesan; Kaul, Anil; Kawakami, Norito; Kazi, Dhruv S; Kemp, Andrew H; Kengne, Andre P; Keren, Andre; Khader, Yousef S; Khalifa, Shams Eldin Ali Hassan; Khan, Ejaz A; Khang, Young-Ho; Khatibzadeh, Shahab; Khonelidze, Irma; Kieling, Christian; Kim, Daniel; Kim, Sungroul; Kim, Yunjin; Kimokoti, Ruth W; Kinfu, Yohannes; Kinge, Jonas M; Kissela, Brett M; Kivipelto, Miia; Knibbs, Luke D; Knudsen, Ann Kristin; Kokubo, Yoshihiro; Kose, M Rifat; Kosen, Soewarta; Kraemer, Alexander; Kravchenko, Michael; Krishnaswami, Sanjay; Kromhout, Hans; Ku, Tiffany; Kuate Defo, Barthelemy; Kucuk Bicer, Burcu; Kuipers, Ernst J; Kulkarni, Chanda; Kulkarni, Veena S; Kumar, G Anil; Kwan, Gene F; Lai, Taavi; Lakshmana Balaji, Arjun; Lalloo, Ratilal; Lallukka, Tea; Lam, Hilton; Lan, Qing; Lansingh, Van C; Larson, Heidi J; Larsson, Anders; Laryea, Dennis O; Lavados, Pablo M; Lawrynowicz, Alicia E; Leasher, Janet L; Lee, Jong-Tae; Leigh, James; Leung, Ricky; Levi, Miriam; Li, Yichong; Li, Yongmei; Liang, Juan; Liang, Xiaofeng; Lim, Stephen S; Lindsay, M Patrice; Lipshultz, Steven E; Liu, Shiwei; Liu, Yang; Lloyd, Belinda K; Logroscino, Giancarlo; London, Stephanie J; Lopez, Nancy; Lortet-Tieulent, Joannie; Lotufo, Paulo A; Lozano, Rafael; Lunevicius, Raimundas; Ma, Jixiang; Ma, Stefan; Machado, Vasco M P; MacIntyre, Michael F; Magis-Rodriguez, Carlos; Mahdi, Abbas A; Majdan, Marek; Malekzadeh, Reza; Mangalam, Srikanth; Mapoma, Christopher C; Marape, Marape; Marcenes, Wagner; Margolis, David J; Margono, Christopher; Marks, Guy B; Martin, Randall V; Marzan, Melvin B; Mashal, Mohammad T; Masiye, Felix; Mason-Jones, Amanda J; Matsushita, Kunihiro; Matzopoulos, Richard; Mayosi, Bongani M; Mazorodze, Tasara T; McKay, Abigail C; McKee, Martin; McLain, Abigail; Meaney, Peter A; Medina, Catalina; Mehndiratta, Man Mohan; Mejia-Rodriguez, Fabiola; Mekonnen, Wubegzier; Melaku, Yohannes A; Meltzer, Michele; Memish, Ziad A; Mendoza, Walter; Mensah, George A; Meretoja, Atte; Mhimbira, Francis Apolinary; Micha, Renata; Miller, Ted R; Mills, Edward J; Misganaw, Awoke; Mishra, Santosh; Mohamed Ibrahim, Norlinah; Mohammad, Karzan A; Mokdad, Ali H; Mola, Glen L; Monasta, Lorenzo; Montañez Hernandez, Julio C; Montico, Marcella; Moore, Ami R; Morawska, Lidia; Mori, Rintaro; Moschandreas, Joanna; Moturi, Wilkister N; Mozaffarian, Dariush; Mueller, Ulrich O; Mukaigawara, Mitsuru; Mullany, Erin C; Murthy, Kinnari S; Naghavi, Mohsen; Nahas, Ziad; Naheed, Aliya; Naidoo, Kovin S; Naldi, Luigi; Nand, Devina; Nangia, Vinay; Narayan, K M Venkat; Nash, Denis; Neal, Bruce; Nejjari, Chakib; Neupane, Sudan P; Newton, Charles R; Ngalesoni, Frida N; Ngirabega, Jean de Dieu; Nguyen, Grant; Nguyen, Nhung T; Nieuwenhuijsen, Mark J; Nisar, Muhammad I; Nogueira, José R; Nolla, Joan M; Nolte, Sandra; Norheim, Ole F; Norman, Rosana E; Norrving, Bo; Nyakarahuka, Luke; Oh, In-Hwan; Ohkubo, Takayoshi; Olusanya, Bolajoko O; Omer, Saad B; Opio, John Nelson; Orozco, Ricardo; Pagcatipunan, Rodolfo S; Pain, Amanda W; Pandian, Jeyaraj D; Panelo, Carlo Irwin A; Papachristou, Christina; Park, Eun-Kee; Parry, Charles D; Paternina Caicedo, Angel J; Patten, Scott B; Paul, Vinod K; Pavlin, Boris I; Pearce, Neil; Pedraza, Lilia S; Pedroza, Andrea; Pejin Stokic, Ljiljana; Pekericli, Ayfer; Pereira, David M; Perez-Padilla, Rogelio; Perez-Ruiz, Fernando; Perico, Norberto; Perry, Samuel A L; Pervaiz, Aslam; Pesudovs, Konrad; Peterson, Carrie B; Petzold, Max; Phillips, Michael R; Phua, Hwee Pin; Plass, Dietrich; Poenaru, Dan; Polanczyk, Guilherme V; Polinder, Suzanne; Pond, Constance D; Pope, C Arden; Pope, Daniel; Popova, Svetlana; Pourmalek, Farshad; Powles, John; Prabhakaran, Dorairaj; Prasad, Noela M; Qato, Dima M; Quezada, Amado D; Quistberg, D Alex A; Racapé, Lionel; Rafay, Anwar; Rahimi, Kazem; Rahimi-Movaghar, Vafa; Rahman, Sajjad Ur; Raju, Murugesan; Rakovac, Ivo; Rana, Saleem M; Rao, Mayuree; Razavi, Homie; Reddy, K Srinath; Refaat, Amany H; Rehm, Jürgen; Remuzzi, Giuseppe; Ribeiro, Antonio L; Riccio, Patricia M; Richardson, Lee; Riederer, Anne; Robinson, Margaret; Roca, Anna; Rodriguez, Alina; Rojas-Rueda, David; Romieu, Isabelle; Ronfani, Luca; Room, Robin; Roy, Nobhojit; Ruhago, George M; Rushton, Lesley; Sabin, Nsanzimana; Sacco, Ralph L; Saha, Sukanta; Sahathevan, Ramesh; Sahraian, Mohammad Ali; Salomon, Joshua A; Salvo, Deborah; Sampson, Uchechukwu K; Sanabria, Juan R; Sanchez, Luz Maria; Sánchez-Pimienta, Tania G; Sanchez-Riera, Lidia; Sandar, Logan; Santos, Itamar S; Sapkota, Amir; Satpathy, Maheswar; Saunders, James E; Sawhney, Monika; Saylan, Mete I; Scarborough, Peter; Schmidt, Jürgen C; Schneider, Ione J C; Schöttker, Ben; Schwebel, David C; Scott, James G; Seedat, Soraya; Sepanlou, Sadaf G; Serdar, Berrin; Servan-Mori, Edson E; Shaddick, Gavin; Shahraz, Saeid; Levy, Teresa Shamah; Shangguan, Siyi; She, Jun; Sheikhbahaei, Sara; Shibuya, Kenji; Shin, Hwashin H; Shinohara, Yukito; Shiri, Rahman; Shishani, Kawkab; Shiue, Ivy; Sigfusdottir, Inga D; Silberberg, Donald H; Simard, Edgar P; Sindi, Shireen; Singh, Abhishek; Singh, Gitanjali M; Singh, Jasvinder A; Skirbekk, Vegard; Sliwa, Karen; Soljak, Michael; Soneji, Samir; Søreide, Kjetil; Soshnikov, Sergey; Sposato, Luciano A; Sreeramareddy, Chandrashekhar T; Stapelberg, Nicolas J C; Stathopoulou, Vasiliki; Steckling, Nadine; Stein, Dan J; Stein, Murray B; Stephens, Natalie; Stöckl, Heidi; Straif, Kurt; Stroumpoulis, Konstantinos; Sturua, Lela; Sunguya, Bruno F; Swaminathan, Soumya; Swaroop, Mamta; Sykes, Bryan L; Tabb, Karen M; Takahashi, Ken; Talongwa, Roberto T; Tandon, Nikhil; Tanne, David; Tanner, Marcel; Tavakkoli, Mohammad; Te Ao, Braden J; Teixeira, Carolina M; Téllez Rojo, Martha M; Terkawi, Abdullah S; Texcalac-Sangrador, José Luis; Thackway, Sarah V; Thomson, Blake; Thorne-Lyman, Andrew L; Thrift, Amanda G; Thurston, George D; Tillmann, Taavi; Tobollik, Myriam; Tonelli, Marcello; Topouzis, Fotis; Towbin, Jeffrey A; Toyoshima, Hideaki; Traebert, Jefferson; Tran, Bach X; Trasande, Leonardo; Trillini, Matias; Trujillo, Ulises; Dimbuene, Zacharie Tsala; Tsilimbaris, Miltiadis; Tuzcu, Emin Murat; Uchendu, Uche S; Ukwaja, Kingsley N; Uzun, Selen B; van de Vijver, Steven; Van Dingenen, Rita; van Gool, Coen H; van Os, Jim; Varakin, Yuri Y; Vasankari, Tommi J; Vasconcelos, Ana Maria N; Vavilala, Monica S; Veerman, Lennert J; Velasquez-Melendez, Gustavo; Venketasubramanian, N; Vijayakumar, Lakshmi; Villalpando, Salvador; Violante, Francesco S; Vlassov, Vasiliy Victorovich; Vollset, Stein Emil; Wagner, Gregory R; Waller, Stephen G; Wallin, Mitchell T; Wan, Xia; Wang, Haidong; Wang, JianLi; Wang, Linhong; Wang, Wenzhi; Wang, Yanping; Warouw, Tati S; Watts, Charlotte H; Weichenthal, Scott; Weiderpass, Elisabete; Weintraub, Robert G; Werdecker, Andrea; Wessells, K Ryan; Westerman, Ronny; Whiteford, Harvey A; Wilkinson, James D; Williams, Hywel C; Williams, Thomas N; Woldeyohannes, Solomon M; Wolfe, Charles D A; Wong, John Q; Woolf, Anthony D; Wright, Jonathan L; Wurtz, Brittany; Xu, Gelin; Yan, Lijing L; Yang, Gonghuan; Yano, Yuichiro; Ye, Pengpeng; Yenesew, Muluken; Yentür, Gökalp K; Yip, Paul; Yonemoto, Naohiro; Yoon, Seok-Jun; Younis, Mustafa Z; Younoussi, Zourkaleini; Yu, Chuanhua; Zaki, Maysaa E; Zhao, Yong; Zheng, Yingfeng; Zhou, Maigeng; Zhu, Jun; Zhu, Shankuan; Zou, Xiaonong; Zunt, Joseph R; Lopez, Alan D; Vos, Theo; Murray, Christopher J

    2015-12-05

    The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian meta-regression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. All risks combined account for 57·2% (95% uncertainty interval

  10. Gender differences in metabolic risk factor prevalence in a South African student population.

    Science.gov (United States)

    Smith, Carine; Essop, M Faadiel

    2009-01-01

    We determined selected risk factors for the metabolic syndrome and assessed the metabolic risk status (using IDF criteria) of third-year physiology students at Stellenbosch University (88 males and 178 females). Outcome measures included anthropometry [body mass index (BMI), waist circumference, waist-to-hip ratio], blood pressure (BP), resting pulse rate, and fasting blood glucose, total cholesterol and triglyceride levels. In addition, students completed a lifestyle questionnaire. A number of gender-based differences were found, with male students displaying a greater incidence of risk factors for the metabolic syndrome: 6% of males versus 3% of females displayed a cluster of three risk factors. Twenty-five per cent of female students (but only 14% of males) exhibited waist circumferences above the accepted range, which was positively correlated, for males and females, with both systolic and diastolic BP, and in females only, also with total cholesterol levels. Male students on average exercised more than their female counterparts, but also exhibited poorer eating habits. Average blood triglyceride levels for both male and female students exceeded the accepted threshold (1.85 +/- 1.62 mmol/l and 2.15 +/- 1.79 mmol/l, respectively). We concluded that metabolic risk factors were evident in a much younger population than commonly expected. Moreover, the gender-specific differences observed may impact on future risk assessment and preventative measures adopted.

  11. The effect of milk and milk proteins on risk factors of metabolic syndrome in overweight adolecents

    DEFF Research Database (Denmark)

    Arnberg, Karina

    This PhD is based on data from an intervention study with milk and milk proteins conducted in Danish adolescents with overweight. There is a high prevalence of overweight in Danish adolescents. Metabolic syndrome is a cluster of risk factors related to overweight and believed to increase the risk...... of type-2 diabetes and atherosclerotic cardiovascular diseases. Overweight children have higher concentrations of the metabolic syndrome risk factors than normal weight children and the pathological condition underlying cardiovascular diseases, called atherosclerosis, seems to start in childhood. A well...... skimmed milk, whey, casein or water for three months. The background for the intervention is that milk is an important source of protein in the Western diet and epidemiological studies in children have shown that children drinking low amounts of milk have higher concentrations of the metabolic risk...

  12. Metabolic syndrome as a risk factor for neurological disorders.

    Science.gov (United States)

    Farooqui, Akhlaq A; Farooqui, Tahira; Panza, Francesco; Frisardi, Vincenza

    2012-03-01

    The metabolic syndrome is a cluster of common pathologies: abdominal obesity linked to an excess of visceral fat, insulin resistance, dyslipidemia and hypertension. At the molecular level, metabolic syndrome is accompanied not only by dysregulation in the expression of adipokines (cytokines and chemokines), but also by alterations in levels of leptin, a peptide hormone released by white adipose tissue. These changes modulate immune response and inflammation that lead to alterations in the hypothalamic 'bodyweight/appetite/satiety set point,' resulting in the initiation and development of metabolic syndrome. Metabolic syndrome is a risk factor for neurological disorders such as stroke, depression and Alzheimer's disease. The molecular mechanism underlying the mirror relationship between metabolic syndrome and neurological disorders is not fully understood. However, it is becoming increasingly evident that all cellular and biochemical alterations observed in metabolic syndrome like impairment of endothelial cell function, abnormality in essential fatty acid metabolism and alterations in lipid mediators along with abnormal insulin/leptin signaling may represent a pathological bridge between metabolic syndrome and neurological disorders such as stroke, Alzheimer's disease and depression. The purpose of this review is not only to describe the involvement of brain in the pathogenesis of metabolic syndrome, but also to link the pathogenesis of metabolic syndrome with neurochemical changes in stroke, Alzheimer's disease and depression to a wider audience of neuroscientists with the hope that this discussion will initiate more studies on the relationship between metabolic syndrome and neurological disorders. © Springer Basel AG 2011

  13. Metabolic syndrome and cardiovascular risk

    Directory of Open Access Journals (Sweden)

    Abdullah M Alshehri

    2010-01-01

    Full Text Available The constellation of dyslipidemia (hypertriglyceridemia and low levels of high-density lipoprotein cholesterol, elevated blood pressure, impaired glucose tolerance, and central obesity is now classified as metabolic syndrome, also called syndrome X. In the past few years, several expert groups have attempted to set forth simple diagnostic criteria for use in clinical practice to identify patients who manifest the multiple components of the metabolic syndrome. These criteria have varied somewhat in specific elements, but in general, they include a combination of multiple and metabolic risk factors. The most widely recognized of the metabolic risk factors are atherogenic dyslipidemia, elevated blood pressure, and elevated plasma glucose. Individuals with these characteristics, commonly manifest a prothrombotic state as well as and a proinflammatory state. Atherogenic dyslipidemia consists of an aggregation of lipoprotein abnormalities including elevated serum triglyceride and apolipoprotein B (apoB, increased small LDL particles, and a reduced level of HDL cholesterol (HDL-C. The metabolic syndrome is often referred to as if it were a discrete entity with a single cause. Available data suggest that it truly is a syndrome, ie, a grouping of atherosclerotic cardiovascular disease (ASCVD risk factors, that probably has more than one cause. Regardless of cause, the syndrome identifies individuals at an elevated risk for ASCVD. The magnitude of the increased risk can vary according to the components of the syndrome present as well as the other, non-metabolic syndrome risk factors in a particular person.

  14. Metabolic syndrome and cardiovascular risk

    Directory of Open Access Journals (Sweden)

    Abdullah M Alshehri

    2010-11-01

    Full Text Available The constellation of dyslipidemia (hypertriglyceridemia and low levels of high-density lipoprotein cholesterol, elevated blood pressure, impaired glucose tolerance, and central obesity is now classified as metabolic syndrome, also called syndrome X. In the past few years, several expert groups have attempted to set forth simple diagnostic criteria for use in clinical practice to identify patients who manifest the multiple components of the metabolic syndrome. These criteria have varied somewhat in specific elements, but in general, they include a combination of multiple and metabolic risk factors. The most widely recognized of the metabolic risk factors are atherogenic dyslipidemia, elevated blood pressure, and elevated plasma glucose. Individuals with these characteristics, commonly manifest a prothrombotic state as well as and a proinflammatory state. Atherogenic dyslipidemia consists of an aggregation of lipoprotein abnormalities including elevated serum triglyceride and apolipoprotein B (apoB, increased small LDL particles, and a reduced level of HDL cholesterol (HDL-C. The metabolic syndrome is often referred to as if it were a discrete entity with a single cause. Available data suggest that it truly is a syndrome, ie, a grouping of atherosclerotic cardiovascular disease (ASCVD risk factors, that probably has more than one cause. Regardless of cause, the syndrome identifies individuals at an elevated risk for ASCVD. The magnitude of the increased risk can vary according to the components of the syndrome present as well as the other, non-metabolic syndrome risk factors in a particular person.

  15. Mediterranean diet and the metabolic syndrome

    NARCIS (Netherlands)

    Bos, M.B.

    2009-01-01

    Mediterranean diet and the metabolic syndrome

    Background: The metabolic syndrome refers to a clustering of risk factors including
    abdominal obesity, hyperglycaemia, low HDL-cholesterol, hypertriglyceridaemia,
    and hypertension and it is a risk factor for diabetes mellitus type

  16. A spatial scan statistic for nonisotropic two-level risk cluster.

    Science.gov (United States)

    Li, Xiao-Zhou; Wang, Jin-Feng; Yang, Wei-Zhong; Li, Zhong-Jie; Lai, Sheng-Jie

    2012-01-30

    Spatial scan statistic methods are commonly used for geographical disease surveillance and cluster detection. The standard spatial scan statistic does not model any variability in the underlying risks of subregions belonging to a detected cluster. For a multilevel risk cluster, the isotonic spatial scan statistic could model a centralized high-risk kernel in the cluster. Because variations in disease risks are anisotropic owing to different social, economical, or transport factors, the real high-risk kernel will not necessarily take the central place in a whole cluster area. We propose a spatial scan statistic for a nonisotropic two-level risk cluster, which could be used to detect a whole cluster and a noncentralized high-risk kernel within the cluster simultaneously. The performance of the three methods was evaluated through an intensive simulation study. Our proposed nonisotropic two-level method showed better power and geographical precision with two-level risk cluster scenarios, especially for a noncentralized high-risk kernel. Our proposed method is illustrated using the hand-foot-mouth disease data in Pingdu City, Shandong, China in May 2009, compared with two other methods. In this practical study, the nonisotropic two-level method is the only way to precisely detect a high-risk area in a detected whole cluster. Copyright © 2011 John Wiley & Sons, Ltd.

  17. Low muscle strength is associated with metabolic risk factors in Colombian children: the ACFIES study.

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    Daniel Dylan Cohen

    Full Text Available PURPOSE: In youth, poor cardiorespiratory and muscular strength are associated with elevated metabolic risk factors. However, studies examining associations between strength and risk factors have been done exclusively in high income countries, and largely in Caucasian cohorts. The aim of this study was to assess these interactions in schoolchildren in Colombia, a middle income Latin American country. METHODS: We measured body mass index, body composition, handgrip strength (HG, cardiorespiratory fitness (CRF and metabolic risk factors in 669 low-middle socioeconomic status Colombian schoolchildren (mean age 11.52±1.13, 47% female. Associations between HG, CRF and metabolic risk factors were evaluated. RESULTS: HG and CRF were inversely associated with blood pressure, HOMA index and a composite metabolic risk score (p = 0.001, HOMA (β = -0.164; p = 0.005, triglycerides (β = -0.583; p = 0.026 and CRP (β = -0.183; p = 0.037 but not glucose (p = 0.698 or HDL cholesterol (p = 0.132. The odds ratios for having clustered risk in the weakest quartile compared with the strongest quartile were 3.0 (95% confidence interval: 1.81-4.95. CONCLUSIONS: In Colombian schoolchildren both poorer handgrip strength/kg body mass and cardiorespiratory fitness were associated with a worse metabolic risk profile. Associations were stronger and more consistent between handgrip and risk factors than between cardiorespiratory fitness and these risk factors. Our findings indicate the addition of handgrip dynamometry to non-invasive youth health surveillance programs would improve the accuracy of the assessment of cardio-metabolic health.

  18. A missed Fe-S cluster handoff causes a metabolic shakeup.

    Science.gov (United States)

    Berteau, Olivier

    2018-05-25

    The general framework of pathways by which iron-sulfur (Fe-S) clusters are assembled in cells is well-known, but the cellular consequences of disruptions to that framework are not fully understood. Crooks et al. report a novel cellular system that creates an acute Fe-S cluster deficiency, using mutants of ISCU, the main scaffold protein for Fe-S cluster assembly. Surprisingly, the resultant metabolic reprogramming leads to the accumulation of lipid droplets, a situation encountered in many poorly understood pathological conditions, highlighting unanticipated links between Fe-S assembly machinery and human disease. © 2018 Berteau.

  19. Metabolic syndrome and cardiovascular risk among adults

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    Reem Hunain

    2018-03-01

    Full Text Available Background: Mortality and morbidity due cardiovascular diseases in India is on the rise. Metabolic Syndrome which is a collection of risk factors of metabolic origin, can greatly contribute to its rising burden. Aims & Objectives: The present study was conducted with the objective of estimating the prevalence of metabolic syndrome and 10-year cardiovascular risk among adults. Material & Methods: This hospital-based study included 260 adults aged 20-60 years. Metabolic Syndrome was defined using National Cholesterol Education Program –Adult Treatment Panel -3 criteria. The 10 year cardiovascular risk was estimated using Framingham risk scoring. Results: The overall prevalence of metabolic syndrome among the study participants was 38.8%. Age (41-60yrs, male gender and daily consumption of high salt items were positively associated with metabolic syndrome whereas consumption of occasional high sugar items showed an inverse association with metabolic syndrome. According to Framingham Risk Scoring, 14.3% of the participants belonged to intermediate/high risk category. Conclusion: With a high prevalence of metabolic syndrome and a considerable proportion of individuals with intermediate to high 10 yr CVD risk, there is a need to design strategies to prevent future cardiovascular events.

  20. Metabolic Vascular Syndrome: New Insights into a Multidimensional Network of Risk Factors and Diseases.

    Science.gov (United States)

    Scholz, Gerhard H; Hanefeld, Markolf

    2016-10-01

    Since 1981, we have used the term metabolic syndrome to describe an association of a dysregulation in lipid metabolism (high triglycerides, low high-density lipoprotein cholesterol, disturbed glucose homeostasis (enhanced fasting and/or prandial glucose), gout, and hypertension), with android obesity being based on a common soil (overnutrition, reduced physical activity, sociocultural factors, and genetic predisposition). We hypothesized that main traits of the syndrome occur early and are tightly connected with hyperinsulinemia/insulin resistance, procoagulation, and cardiovascular diseases. To establish a close link between the traits of the metabolic vascular syndrome, we focused our literature search on recent original work and comprehensive reviews dealing with the topics metabolic syndrome, visceral obesity, fatty liver, fat tissue inflammation, insulin resistance, atherogenic dyslipidemia, arterial hypertension, and type 2 diabetes mellitus. Recent research supports the concept that the metabolic vascular syndrome is a multidimensional and interactive network of risk factors and diseases based on individual genetic susceptibility and epigenetic changes where metabolic dysregulation/metabolic inflexibility in different organs and vascular dysfunction are early interconnected. The metabolic vascular syndrome is not only a risk factor constellation but rather a life-long abnormality of a closely connected interactive cluster of developing diseases which escalate each other and should continuously attract the attention of every clinician.

  1. Metabolic Syndrome and Breast Cancer Risk.

    Science.gov (United States)

    Wani, Burhan; Aziz, Shiekh Aejaz; Ganaie, Mohammad Ashraf; Mir, Mohammad Hussain

    2017-01-01

    The study was meant to estimate the prevalence of metabolic syndrome in patients with breast cancer and to establish its role as an independent risk factor on occurrence of breast cancer. Fifty women aged between 40 and 80 years with breast cancer and fifty controls of similar age were assessed for metabolic syndrome prevalence and breast cancer risk factors, including age at menarche, reproductive status, live births, breastfeeding, and family history of breast cancer, age at diagnosis of breast cancer, body mass index, and metabolic syndrome parameters. Metabolic syndrome prevalence was found in 40.0% of breast cancer patients, and 18.0% of those in control group ( P = 0.02). An independent and positive association was seen between metabolic syndrome and breast cancer risk (odds ratio = 3.037; 95% confidence interval 1.214-7.597). Metabolic syndrome is more prevalent in breast cancer patients and is an independent risk factor for breast cancer.

  2. Lipoprotein metabolism indicators improve cardiovascular risk prediction.

    Directory of Open Access Journals (Sweden)

    Daniël B van Schalkwijk

    Full Text Available BACKGROUND: Cardiovascular disease risk increases when lipoprotein metabolism is dysfunctional. We have developed a computational model able to derive indicators of lipoprotein production, lipolysis, and uptake processes from a single lipoprotein profile measurement. This is the first study to investigate whether lipoprotein metabolism indicators can improve cardiovascular risk prediction and therapy management. METHODS AND RESULTS: We calculated lipoprotein metabolism indicators for 1981 subjects (145 cases, 1836 controls from the Framingham Heart Study offspring cohort in which NMR lipoprotein profiles were measured. We applied a statistical learning algorithm using a support vector machine to select conventional risk factors and lipoprotein metabolism indicators that contributed to predicting risk for general cardiovascular disease. Risk prediction was quantified by the change in the Area-Under-the-ROC-Curve (ΔAUC and by risk reclassification (Net Reclassification Improvement (NRI and Integrated Discrimination Improvement (IDI. Two VLDL lipoprotein metabolism indicators (VLDLE and VLDLH improved cardiovascular risk prediction. We added these indicators to a multivariate model with the best performing conventional risk markers. Our method significantly improved both CVD prediction and risk reclassification. CONCLUSIONS: Two calculated VLDL metabolism indicators significantly improved cardiovascular risk prediction. These indicators may help to reduce prescription of unnecessary cholesterol-lowering medication, reducing costs and possible side-effects. For clinical application, further validation is required.

  3. Suicide Clusters: A Review of Risk Factors and Mechanisms

    Science.gov (United States)

    Haw, Camilla; Hawton, Keith; Niedzwiedz, Claire; Platt, Steve

    2013-01-01

    Suicide clusters, although uncommon, cause great concern in the communities in which they occur. We searched the world literature on suicide clusters and describe the risk factors and proposed psychological mechanisms underlying the spatio-temporal clustering of suicides (point clusters). Potential risk factors include male gender, being an…

  4. Cardiorenal metabolic syndrome in the African diaspora: rationale for including chronic kidney disease in the metabolic syndrome definition.

    Science.gov (United States)

    Lea, Janice P; Greene, Eddie L; Nicholas, Susanne B; Agodoa, Lawrence; Norris, Keith C

    2009-01-01

    Chronic kidney disease (CKD) is more likely to progress to end-stage renal disease (ESRD) in African Americans while the reasons for this are unclear. The metabolic syndrome is a risk factor for the development of diabetes, cardiovascular disease, and has been recently linked to incident CKD. Historically, fewer African Americans meet criteria for the definition of metabolic syndrome, despite having higher rates of cardiovascular mortality than Caucasians. The presence of microalbuminuria portends increased cardiovascular risks and has been shown to cluster with the metabolic syndrome. We recently reported that proteinuria is a predictor of CKD progression in African American hypertensives with metabolic syndrome. In this review we explore the potential value of including CKD markers--microalbuminuria/proteinuria or low glomerular filtration rate (GFR)-in refining the cluster of factors defined as metabolic syndrome, ie, "cardiorenal metabolic syndrome."

  5. Cardiovascular Risk Factors in Cluster Headache.

    Science.gov (United States)

    Lasaosa, S Santos; Diago, E Bellosta; Calzada, J Navarro; Benito, A Velázquez

    2017-06-01

     Patients with cluster headache tend to have a dysregulation of systemic blood pressure such as increased blood pressure variability and decreased nocturnal dipping. This pattern of nocturnal nondipping is associated with end-organ damage and increased risk of cardiovascular disease.  To determine if cluster headache is associated with a higher risk of cardiovascular disease.  Cross-sectional study of 33 cluster headache patients without evidence of cardiovascular disease and 30 age- and gender-matched healthy controls. Ambulatory blood pressure monitoring was performed in all subjects. We evaluate anthropometric, hematologic, and structural parameters (carotid intima-media thickness and ankle-brachial index).  Of the 33 cluster headache patients, 16 (48.5%) were nondippers, a higher percentage than expected. Most of the cluster headache patients (69.7%) also presented a pathological ankle-brachial index. In terms of the carotid intima-media thickness values, 58.3% of the patients were in the 75th percentile, 25% were in the 90th percentile, and 20% were in the 95th percentile. In the control group, only five of the 30 subjects (16.7%) had a nondipper pattern ( P  =   0.004), with 4.54% in the 90th and 95th percentiles ( P  =   0.012 and 0.015).  Compared with healthy controls, patients with cluster headache presented a high incidence (48.5%) of nondipper pattern, pathological ankle-brachial index (69.7%), and intima-media thickness values above the 75th percentile. These findings support the hypothesis that patients with cluster headache present increased risk of cardiovascular disease. © 2016 American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

  6. The relationship between physical fitness and clustered risk, and tracking of clustered risk from adolescence to young adulthood: eight years follow-up in the Danish Youth and Sport Study

    Directory of Open Access Journals (Sweden)

    Grønfeldt Vivian

    2004-03-01

    Full Text Available Abstract Introduction Cardiovascular disease (CVD is usually caused by high levels of many risk factors simultaneously over many years. Therefore, it is of great interest to study if subjects stay within rank order over time in both the biological risk factors and the behaviour that influences these risk factors. Many studies have described stability (tracking in single risk factors, especially in children where hard endpoints are lacking, but few have analysed tracking in clustered risk. Methods Two examinations were conducted 8 years apart. The first time, 133 males and 172 females were 16–19 years of age. Eight years later, 98 males and 137 females participated. They were each time ranked into quartiles by sex in four CVD risk factors all related to the metabolic syndrome. Risk factors were the ratio between total cholesterol and HDL, triglyceride, systolic BP and body fat. The upper quartile was defined as being at risk, and if a subject had two or more risk factors, he/she was defined as a case (15–20 % of the subjects. Odds ratios (OR for being a case was calculated between quartiles of fitness in both cross-sectional studies. The stability of combined risk was calculated as the OR between cases and non-cases at the first examination to be a case at the second examination. Results ORs for having two or more risk factors between quartiles of fitness were 3.1, 3.8 and 4.9 for quartiles two to four, respectively. At the second examination, OR were 0.7, 3.5 and 4.9, respectively. The probability for "a case" at the first examination to be "a case" at the second was 6.0. Conclusions The relationship between an exposure like physical fitness and CVD risk factors is much stronger when clustering of risk factors are analysed compared to the relationship to single risk factors. The stability over time in multiple risk factors analysed together is strong. This relationship should be seen in the light of moderate or weak tracking of single risk

  7. A clustering approach to segmenting users of internet-based risk calculators.

    Science.gov (United States)

    Harle, C A; Downs, J S; Padman, R

    2011-01-01

    Risk calculators are widely available Internet applications that deliver quantitative health risk estimates to consumers. Although these tools are known to have varying effects on risk perceptions, little is known about who will be more likely to accept objective risk estimates. To identify clusters of online health consumers that help explain variation in individual improvement in risk perceptions from web-based quantitative disease risk information. A secondary analysis was performed on data collected in a field experiment that measured people's pre-diabetes risk perceptions before and after visiting a realistic health promotion website that provided quantitative risk information. K-means clustering was performed on numerous candidate variable sets, and the different segmentations were evaluated based on between-cluster variation in risk perception improvement. Variation in responses to risk information was best explained by clustering on pre-intervention absolute pre-diabetes risk perceptions and an objective estimate of personal risk. Members of a high-risk overestimater cluster showed large improvements in their risk perceptions, but clusters of both moderate-risk and high-risk underestimaters were much more muted in improving their optimistically biased perceptions. Cluster analysis provided a unique approach for segmenting health consumers and predicting their acceptance of quantitative disease risk information. These clusters suggest that health consumers were very responsive to good news, but tended not to incorporate bad news into their self-perceptions much. These findings help to quantify variation among online health consumers and may inform the targeted marketing of and improvements to risk communication tools on the Internet.

  8. Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?

    Directory of Open Access Journals (Sweden)

    Lu Liping

    2011-01-01

    Full Text Available Abstract Background Obesity is associated with metabolic risk factors. Body mass index (BMI, waist circumference, waist-hip ratio (WHR and waist-height ratio (WHtR are used to predict the risk of obesity related diseases. However, it has not been examined whether these four indicators can detect the clustering of metabolic risk factors in Chinese subjects. Methods There are 772 Chinese subjects in the present study. Metabolic risk factors including high blood pressure, dyslipidemia, and glucose intolerance were identified according to the criteria from WHO. All statistical analyses were performed separately according to sex by using the SPSS 12.0. Results BMI, waist circumference and WHtR values were all significantly associated with blood pressure, glucose, triglyceride and also with the number of metabolic risk factors in both male and female subjects (all of P Conclusion The BMI, waist circumference and WHtR values can similarly predict the presence of multiple metabolic risk factors in Chinese subjects.

  9. The metabolic syndrome: validity and utility of clinical definitions for cardiovascular disease and diabetes risk prediction.

    Science.gov (United States)

    Cameron, Adrian

    2010-02-01

    The purpose of clinical definitions of the metabolic syndrome is frequently misunderstood. While the metabolic syndrome as a physiological process describes a clustering of numerous age-related metabolic abnormalities that together increase the risk for cardiovascular disease and type 2 diabetes, clinical definitions include obesity which is thought to be a cause rather than a consequence of metabolic disturbance, and several elements that are routinely measured in clinical practice, including high blood pressure, high blood glucose and dyslipidaemia. Obesity is frequently a central player in the development of the metabolic syndrome and should be considered a key component of clinical definitions. Previous clinical definitions have differed in the priority given to obesity. Perhaps more importantly than its role in a clinical definition, however, is obesity in isolation before the hallmarks of metabolic dysfunction that typify the syndrome have developed. This should be treated seriously as an opportunity to prevent the consequences of the global diabetes epidemic now apparent. Clinical definitions were designed to identify a population at high lifetime CVD and type 2 diabetes risk, but in the absence of several major risk factors for each condition, are not optimal risk prediction devices for either. Despite this, the metabolic syndrome has several properties that make it a useful construct, in conjunction with short-term risk prediction algorithms and sound clinical judgement, for the identification of those at high lifetime risk of CVD and diabetes. A recently published consensus definition provides some much needed clarity about what a clinical definition entails. Even this, however, remains a work in progress until more evidence becomes available, particularly in the area of ethnicity-specific waist cut-points. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.

  10. Psychosocial risk factors for the metabolic syndrome

    DEFF Research Database (Denmark)

    Pedersen, Jolene Masters; Lund, Rikke; Andersen, Ingelise

    2016-01-01

    Background/Objectives: Metabolic deregulations and development of metabolic syndrome may be an important pathway underlying the relationship between stress and cardiovascular disease. We aim to estimate the effect of a comprehensive range of psychosocial factors on the risk of developing metabolic.......11) to be risk factors for developing the metabolic syndrome in women, while vital exhaustion (OR 2.09, 95% CI 0.95 to 4.59) and intake of sleep medications (OR 2.54, 95% CI 0.92 to 5.96) may play a more important role in men. Conclusions: Experiencing major life events in work and adult life and....../or dysfunctional social networks is a risk factor for metabolic syndrome in women, and stress reactions such as vital exhaustion and intake of sleep medications may play a more important role in the development of metabolic syndrome men....

  11. Metabolic Syndrome Risk Profiles Among African American Adolescents

    Science.gov (United States)

    Fitzpatrick, Stephanie L.; Lai, Betty S.; Brancati, Frederick L.; Golden, Sherita H.; Hill-Briggs, Felicia

    2013-01-01

    OBJECTIVE Although African American adolescents have the highest prevalence of obesity, they have the lowest prevalence of metabolic syndrome across all definitions used in previous research. To address this paradox, we sought to develop a model of the metabolic syndrome specific to African American adolescents. RESEARCH DESIGN AND METHODS Data from the National Health and Nutrition Examination Survey (2003–2010) of 822 nonpregnant, nondiabetic, African American adolescents (45% girls; aged 12 to 17 years) who underwent physical examinations and fasted at least 8 h were analyzed. We conducted a confirmatory factor analysis to model metabolic syndrome and then used latent profile analysis to identify metabolic syndrome risk groups among African American adolescents. We compared the risk groups on probability of prediabetes. RESULTS The best-fitting metabolic syndrome model consisted of waist circumference, fasting insulin, HDL, and systolic blood pressure. We identified three metabolic syndrome risk groups: low, moderate, and high risk (19% boys; 16% girls). Thirty-five percent of both boys and girls in the high-risk groups had prediabetes, a significantly higher prevalence compared with boys and girls in the low-risk groups. Among adolescents with BMI higher than the 85th percentile, 48 and 36% of boys and girls, respectively, were in the high-risk group. CONCLUSIONS Our findings provide a plausible model of the metabolic syndrome specific to African American adolescents. Based on this model, approximately 19 and 16% of African American boys and girls, respectively, are at high risk for having the metabolic syndrome. PMID:23093663

  12. The metabolic syndrome in cancer survivors

    NARCIS (Netherlands)

    de Haas, Esther C.; Oosting, Sjoukje F.; Lefrandt, Joop D.; Wolffenbuttel, Bruce H. R.; Sleijfer, Dirk Th; Gietema, Jourik A.

    The metabolic syndrome, as a cluster of cardiovascular risk factors, may represent an important connection between cancer treatment and its common late effect of cardiovascular disease. Insight into the aetiology of the metabolic syndrome after cancer treatment might help to identify and treat

  13. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

    Science.gov (United States)

    2017-09-16

    The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million

  14. A clustering analysis of lipoprotein diameters in the metabolic syndrome

    Directory of Open Access Journals (Sweden)

    Frazier-Wood Alexis C

    2011-12-01

    Full Text Available Abstract Background The presence of smaller low-density lipoproteins (LDL has been associated with atherosclerosis risk, and the insulin resistance (IR underlying the metabolic syndrome (MetS. In addition, some research has supported the association of very low-, low- and high-density lipoprotein (VLDL HDL particle diameters with components of the metabolic syndrome (MetS, although this has been the focus of less research. We aimed to explore the relationship of VLDL, LDL and HDL diameters to MetS and its features, and by clustering individuals by their diameters of VLDL, LDL and HDL particles, to capture information across all three fractions of lipoprotein into a unified phenotype. Methods We used nuclear magnetic resonance spectroscopy measurements on fasting plasma samples from a general population sample of 1,036 adults (mean ± SD, 48.8 ± 16.2 y of age. Using latent class analysis, the sample was grouped by the diameter of their fasting lipoproteins, and mixed effects models tested whether the distribution of MetS components varied across the groups. Results Eight discrete groups were identified. Two groups (N = 251 were enriched with individuals meeting criteria for the MetS, and were characterized by the smallest LDL/HDL diameters. One of those two groups, one was additionally distinguished by large VLDL, and had significantly higher blood pressure, fasting glucose, triglycerides, and waist circumference (WC; P Conclusions While small LDL diameters remain associated with IR and the MetS, the occurrence of these in conjunction with a shift to overall larger VLDL diameter may identify those with the highest fasting glucose, TG and WC within the MetS. If replicated, the association of this phenotype with more severe IR-features indicated that it may contribute to identifying of those most at risk for incident type II diabetes and cardiometabolic disease.

  15. Relationship between metabolic syndrome and moderate-to-vigorous physical activity in youth.

    Science.gov (United States)

    Machado-Rodrigues, Aristides M; Leite, Neiva; Coelho e Silva, Manuel J; Valente-dos-Santos, João; Martins, Raul A; Mascarenhas, Luis P G; Boguszewski, Margaret C S; Padez, Cristina; Malina, Robert M

    2015-01-01

    Associations of metabolic syndrome (MetS) with lifestyle behaviors in youth is potentially important for identifying subgroups at risk and encourage interventions. This study evaluates the associations among the clustering of metabolic risk factors and moderate-to-vigorous physical activity (MVPA) in youth. The sample comprised 522 girls and 402 boys (N = 924) aged 11 to 17 years. Height, weight, waist circumference (WC), fasting glucose, high-density lipoprotein cholesterol, triglycerides, and blood pressures were measured. Cardiorespiratory fitness (CRF) was assessed using the 20-m shuttle run test. MVPA was estimated with a 3-day diary. Outcome variables were statistically normalized and expressed as z scores. A clustered metabolic risk score was computed as the mean of z scores. Multiple linear regression was used to test associations between metabolic risk and MVPA by sex, adjusted for age, WC, and CRF. After adjustment for potential confounders, MVPA was inversely associated with the clustering of metabolic risk factors in girls, but not in boys; in addition, after adjusting for WC, the statistical model of that relationship was substantially improved in girls. MVPA was independently associated with increased risk of MetS in girls. Additional efforts are needed to encourage research with different analytical approach and standardization of criteria for MetS in youth.

  16. Clustering of Mycobacterium tuberculosis Cases in Acapulco: Spoligotyping and Risk Factors

    Directory of Open Access Journals (Sweden)

    Elizabeth Nava-Aguilera

    2011-01-01

    Full Text Available Recurrence and reinfection of tuberculosis have quite different implications for prevention. We identified 267 spoligotypes of Mycobacterium tuberculosis from consecutive tuberculosis patients in Acapulco, Mexico, to assess the level of clustering and risk factors for clustered strains. Point cluster analysis examined spatial clustering. Risk analysis relied on the Mantel Haenszel procedure to examine bivariate associations, then to develop risk profiles of combinations of risk factors. Supplementary analysis of the spoligotyping data used SpolTools. Spoligotyping identified 85 types, 50 of them previously unreported. The five most common spoligotypes accounted for 55% of tuberculosis cases. One cluster of 70 patients (26% of the series produced a single spoligotype from the Manila Family (Clade EAI2. The high proportion (78% of patients infected with cluster strains is compatible with recent transmission of TB in Acapulco. Geomatic analysis showed no spatial clustering; clustering was associated with a risk profile of uneducated cases who lived in single-room dwellings. The Manila emerging strain accounted for one in every four cases, confirming that one strain can predominate in a hyperendemic area.

  17. The metabolic syndrome - background and treatment

    OpenAIRE

    van Zwieten, P.A.

    2006-01-01

    The metabolic syndrome (MBS) is characterised by a clustering of cardiovascular and metabolic risk factors. This syndrome is now widely recognised as a distinct pathological entity, and it is receiving a great deal of attention in the medical literature but also in the lay press.

  18. Perceived risk and benefit of nuclear waste repositories: four opinion clusters.

    Science.gov (United States)

    Seidl, Roman; Moser, Corinne; Stauffacher, Michael; Krütli, Pius

    2013-06-01

    Local public resistance can block the site-selection process, construction, and operation of nuclear waste repositories. Social science has established that the perception of risks and benefits, trust in authorities, and opinion on nuclear energy play important roles in acceptance. In particular, risk and benefit evaluations seem critical for opinion formation. However, risks and benefits have rarely been studied independently and, most often, the focus has been on the two most salient groups of proponents and opponents. The aim of this exploratory study is to examine the often-neglected majority of people holding ambivalent or indifferent opinions. We used cluster analysis to examine the sample (N = 500, mailed survey in German-speaking Switzerland) in terms of patterns of risk and benefit perception. We reveal four significantly different and plausible clusters: one cluster with high-benefit ratings in favor of a repository and one cluster with high-risk ratings opposing it; a third cluster shows ambivalence, with high ratings on both risk and benefit scales and moderate opposition, whereas a fourth cluster seems indifferent, rating risks and benefits only moderately compared to the ambivalent cluster. We conclude that a closer look at the often neglected but considerable number of people with ambivalent or indifferent opinions is necessary. Although the extreme factions of the public will most probably not change their opinion, we do not yet know how the opinion of the ambivalent and indifferent clusters might develop over time. © 2012 Society for Risk Analysis.

  19. Metabolite Signatures of Metabolic Risk Factors and their Longitudinal Changes

    NARCIS (Netherlands)

    Yin, X.; Subramanian, S.; Willinger, C.M.; Chen, G.; Juhasz, P.; Courchesne, P.; Chen, B.H.; Li, X.; Hwang, S.J.; Fox, C.S.; O'Donnell, C.J.; Muntendam, P.; Fuster, V.; Bobeldijk-Pastorova, I.; Sookoian, S.C.; Pirola, C.J.; Gordon, N.; Adourian, A.; Larson, M.G.; Levy, D.

    2016-01-01

    Context: Metabolic dysregulation underlies key metabolic risk factors—obesity, dyslipidemia, and dysglycemia. Objective: To uncover mechanistic links between metabolomic dysregulation and metabolic risk by testing metabolite associations with risk factors cross-sectionally and with risk factor

  20. Forming homogeneous clusters for differential risk information

    International Nuclear Information System (INIS)

    Maardberg, B.

    1996-01-01

    Latent risk situations are always present in society. General information on these risk situations is supposed to be received differently by different groups of people in the population. In the aftermath of specific accidents different groups presumably have need of specific information about how to act to survive, to avoid injuries, to find more information, to obtain facts about the accidents etc. As targets for information these different groups could be defined in different ways. The conventional way is to divide the population according to demographic variables, such as age, sex, occupation etc. Another way would be to structure the population according to dependent variables measured in different studies. They may concern risk perception, emotional reactions, specific technical knowledge of the accidents, and belief in the information sources. One procedure for forming such groupings of people into homogeneous clusters would be by statistical clustering methods on dependent variables. Examples of such clustering procedures are presented and discussed. Data are from a Norwegian study on the perception of radiation from nuclear accidents and other radiation sources. Speculations are made on different risk information strategies. Elements of a research programme are proposed. (author)

  1. Pleiotropic genes for metabolic syndrome and inflammation

    DEFF Research Database (Denmark)

    Kraja, Aldi T; Chasman, Daniel I; North, Kari E

    2014-01-01

    Metabolic syndrome (MetS) has become a health and financial burden worldwide. The MetS definition captures clustering of risk factors that predict higher risk for diabetes mellitus and cardiovascular disease. Our study hypothesis is that additional to genes influencing individual MetS risk factor...

  2. Background and treatment of metabolic syndrome: a therapeutic challenge

    NARCIS (Netherlands)

    van Zwieten, Pieter A.; Mancia, Giuseppe

    2006-01-01

    Metabolic syndrome is characterized by a clustering of cardiovascular and metabolic risk factors. This syndrome is now widely recognized as a distinct pathologic entity. It is receiving a great deal of attention in the medical literature and also in the lay press. People with metabolic syndrome have

  3. The effect of increasing body mass index on cardio-metabolic risk and biomarkers of oxidative stress and inflammation in nascent metabolic syndrome.

    Science.gov (United States)

    Pahwa, Roma; Adams-Huet, Beverley; Jialal, Ishwarlal

    2017-05-01

    The effect of BMI defined obesity on cardio-metabolic features and biomarkers of oxidative stress and inflammation in patients with nascent metabolic Syndrome (MetS) is poorly defined. Hence the aim of this study was to examine the effect of increasing obesity on the cardio metabolic risk profile, pro-oxidant state and pro-inflammatory features in nascent MetS patients without Diabetes or CVD. MetS was diagnosed by ATPIII criteria using waist circumference (WC) as the measure of adiposity. Patients (n=58) were stratified into overweight, obese and extreme obesity groups using BMI cut offs of 25-29.9, 30-39.9kg/m 2 and ≥40kg/m 2 and cardio-metabolic features, circulating and cellular biomarkers of oxidative stress and inflammation were determined and correlated with BMI. None of the main cardio-metabolic features including blood pressure, blood glucose, HDL-cholesterol, triglycerides, HOMA-IR, free fatty acids were increased with increasing BMI. Also none of the biomarkers of oxidative stress (ox-LDL, nitrotyrosine and monocyte superoxide anion release) were increased with increasing BMI. However, significant increase in hsCRP, the soluble TNFR1 and sTNFR2 and leptin, were observed with increasing adiposity. Other inflammatory bio-mediators (IL-1β, IL-6, IL-8, MCP-1, Toll-like receptors 2-4), endotoxin, LBP, sCD14 and HMGB1, adiponectin, and chemerin did not show significant increases with increasing BMI. Leptin, hsCRP, sTNFR1, and sTNFR2 correlated significantly with BMI. In conclusion, capturing the cardio-metabolic cluster of MetS that predisposed to both increased risk of diabetes and CVD, using waist circumference, as one of the 5 diagnostic criteria is sufficient and BMI does not appear to afford any major incremental benefit on the cardio-metabolic risk factors, increased oxidative stress and the majority of both cellular and circulating biomarkers of inflammation. Copyright © 2017 Elsevier Inc. All rights reserved.

  4. Cluster analysis to estimate the risk of preeclampsia in the high-risk Prediction and Prevention of Preeclampsia and Intrauterine Growth Restriction (PREDO) study

    Science.gov (United States)

    Marttinen, Pekka; Gillberg, Jussi; Lokki, A. Inkeri; Majander, Kerttu; Ordén, Maija-Riitta; Taipale, Pekka; Pesonen, Anukatriina; Räikkönen, Katri; Hämäläinen, Esa; Kajantie, Eero; Laivuori, Hannele

    2017-01-01

    Objectives Preeclampsia is divided into early-onset (delivery before 34 weeks of gestation) and late-onset (delivery at or after 34 weeks) subtypes, which may rise from different etiopathogenic backgrounds. Early-onset disease is associated with placental dysfunction. Late-onset disease develops predominantly due to metabolic disturbances, obesity, diabetes, lipid dysfunction, and inflammation, which affect endothelial function. Our aim was to use cluster analysis to investigate clinical factors predicting the onset and severity of preeclampsia in a cohort of women with known clinical risk factors. Methods We recruited 903 pregnant women with risk factors for preeclampsia at gestational weeks 12+0–13+6. Each individual outcome diagnosis was independently verified from medical records. We applied a Bayesian clustering algorithm to classify the study participants to clusters based on their particular risk factor combination. For each cluster, we computed the risk ratio of each disease outcome, relative to the risk in the general population. Results The risk of preeclampsia increased exponentially with respect to the number of risk factors. Our analysis revealed 25 number of clusters. Preeclampsia in a previous pregnancy (n = 138) increased the risk of preeclampsia 8.1 fold (95% confidence interval (CI) 5.7–11.2) compared to a general population of pregnant women. Having a small for gestational age infant (n = 57) in a previous pregnancy increased the risk of early-onset preeclampsia 17.5 fold (95%CI 2.1–60.5). Cluster of those two risk factors together (n = 21) increased the risk of severe preeclampsia to 23.8-fold (95%CI 5.1–60.6), intermediate onset (delivery between 34+0–36+6 weeks of gestation) to 25.1-fold (95%CI 3.1–79.9) and preterm preeclampsia (delivery before 37+0 weeks of gestation) to 16.4-fold (95%CI 2.0–52.4). Body mass index over 30 kg/m2 (n = 228) as a sole risk factor increased the risk of preeclampsia to 2.1-fold (95%CI 1.1–3

  5. Prevalence of the metabolic syndrome among employees in Northeast China

    NARCIS (Netherlands)

    Wang, X; Yang, Fang; Bots, Michiel L.; Guo, Wei Ying; Zhao, Bing; Hoes, Arno W.; Vaartjes, Ilonca

    2015-01-01

    Background: The metabolic syndrome is a clustering of metabolic abnormalities and has been associated with increased risk of type 2 diabetes mellitus and cardiovascular disease. This study aimed to estimate the prevalence of the metabolic syndrome among employees in Northeast China. Methods:

  6. Metabolic Heterogeneity Evidenced by MRS among Patient-Derived Glioblastoma Multiforme Stem-Like Cells Accounts for Cell Clustering and Different Responses to Drugs

    Directory of Open Access Journals (Sweden)

    Sveva Grande

    2018-01-01

    Full Text Available Clustering of patient-derived glioma stem-like cells (GSCs through unsupervised analysis of metabolites detected by magnetic resonance spectroscopy (MRS evidenced three subgroups, namely clusters 1a and 1b, with high intergroup similarity and neural fingerprints, and cluster 2, with a metabolism typical of commercial tumor lines. In addition, subclones generated by the same GSC line showed different metabolic phenotypes. Aerobic glycolysis prevailed in cluster 2 cells as demonstrated by higher lactate production compared to cluster 1 cells. Oligomycin, a mitochondrial ATPase inhibitor, induced high lactate extrusion only in cluster 1 cells, where it produced neutral lipid accumulation detected as mobile lipid signals by MRS and lipid droplets by confocal microscopy. These results indicate a relevant role of mitochondrial fatty acid oxidation for energy production in GSCs. On the other hand, further metabolic differences, likely accounting for different therapy responsiveness observed after etomoxir treatment, suggest that caution must be used in considering patient treatment with mitochondria FAO blockers. Metabolomics and metabolic profiling may contribute to discover new diagnostic or prognostic biomarkers to be used for personalized therapies.

  7. Prevalence of the metabolic syndrome among patients with type 2 ...

    African Journals Online (AJOL)

    Background: The metabolic syndrome is a cluster of risk factors that is responsible for most of the excess cardiovascular morbidity amongst persons with type 2 Diabetes Mellitus (DM). The metabolic syndrome increases the risk for coronary heart disease and stroke by three-fold with a marked increase in cardiovascular ...

  8. Cardiovascular disease risk factor clustering among rural adult population in West Bengal, India.

    Science.gov (United States)

    Nag, Tanmay; Ghosh, Arnab

    2016-01-01

    This study aimed to find out the prevalence of cardiovascular disease (CVD) risk factor clustering in a rural adult population of West Bengal, India. This cross-sectional study was carried out among 1007 participants (645 males and 362 females) aged ≥20 years in a rural community. All participants were grouped: Group I (20-39 years); Group II (40-59 years); Group III (≥60 years). Anthropometric measures were collected using standard techniques. Metabolic profiles and blood pressure were also measured. Mean of minimum waist circumference (MWC), waist-hip ratio (WHR), trunk-extremity ratio (TER), fat free mass (FFM), basal metabolic rate (BMR), intra-abdominal visceral fat (IVF) and arm muscle area (AMA) was found to be higher among males in comparison to females, whereas, the mean of body mass index (BMI), maximum hip circumference (MHC), waist-height ratio (WHtR), sum of four skinfolds (∑SF4), percentage of body fat (%BF), fat mass (FM), insulin, HOMA-IR and arm fat area (AFA) was higher in females. 37% of individuals (males 25% and females 49%) with high triglyceride (TG) also had low high density lipoprotein (HDL), whereas, 25% individuals (males 25% and females 24%) with overweight also had high fasting blood glucose (FBG). The prevalence of high systolic blood pressure (SBP) among individuals having high %BF was higher in the age groups of 40-59 years for both sexes. The study showed that prevalence of CVD risk factor clustering is high in the study population and warranted early intervention to safeguard the cardiovascular health of the nation. Copyright © 2015 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

  9. Metabolically healthy obesity and risk of mortality: does the definition of metabolic health matter?

    Science.gov (United States)

    Hinnouho, Guy-Marino; Czernichow, Sébastien; Dugravot, Aline; Batty, G David; Kivimaki, Mika; Singh-Manoux, Archana

    2013-08-01

    To assess the association of a "metabolically healthy obese" phenotype with mortality using five definitions of metabolic health. Adults (n = 5,269; 71.7% men) aged 39-62 years in 1991 through 1993 provided data on BMI and metabolic health, defined using data from the Adult Treatment Panel-III (ATP-III); criteria from two studies; and the Matsuda and homeostasis model assessment (HOMA) indices. Cross-classification of BMI categories and metabolic status (healthy/unhealthy) created six groups. Cox proportional hazards regression models were used to analyze associations with all-cause and cardiovascular disease (CVD) mortality during a median follow-up of 17.7 years. A total of 638 individuals (12.1% of the cohort) were obese, of whom 9-41% were metabolically healthy, depending on the definition. Regardless of the definition, compared with metabolically healthy, normal-weight individuals, both the metabolically healthy obese (hazard ratios [HRs] ranged from 1.81 [95% CI 1.16-2.84] for ATP-III to 2.30 [1.13-4.70] for the Matsuda index) and the metabolically abnormal obese (HRs ranged from 1.57 [1.08-2.28] for the Matsuda index to 2.05 [1.44-2.92] for criteria defined in a separate study) had an increased risk of mortality. The only exception was the lack of excess risk using the HOMA criterion for the metabolically healthy obese (1.08; 0.67-1.74). Among the obese, the risk of mortality did not vary as a function of metabolic health apart from when using the HOMA criterion (1.93; 1.15-3.22). Similar results were obtained for cardiovascular mortality. For most definitions of metabolic health, both metabolically healthy and unhealthy obese patients carry an elevated risk of mortality.

  10. Two different secondary metabolism gene clusters occupied the same ancestral locus in fungal dermatophytes of the arthrodermataceae.

    Science.gov (United States)

    Zhang, Han; Rokas, Antonis; Slot, Jason C

    2012-01-01

    Dermatophyte fungi of the family Arthrodermataceae (Eurotiomycetes) colonize keratinized tissue, such as skin, frequently causing superficial mycoses in humans and other mammals, reptiles, and birds. Competition with native microflora likely underlies the propensity of these dermatophytes to produce a diversity of antibiotics and compounds for scavenging iron, which is extremely scarce, as well as the presence of an unusually large number of putative secondary metabolism gene clusters, most of which contain non-ribosomal peptide synthetases (NRPS), in their genomes. To better understand the historical origins and diversification of NRPS-containing gene clusters we examined the evolution of a variable locus (VL) that exists in one of three alternative conformations among the genomes of seven dermatophyte species. The first conformation of the VL (termed VLA) contains only 539 base pairs of sequence and lacks protein-coding genes, whereas the other two conformations (termed VLB and VLC) span 36 Kb and 27 Kb and contain 12 and 10 genes, respectively. Interestingly, both VLB and VLC appear to contain distinct secondary metabolism gene clusters; VLB contains a NRPS gene as well as four porphyrin metabolism genes never found to be physically linked in the genomes of 128 other fungal species, whereas VLC also contains a NRPS gene as well as several others typically found associated with secondary metabolism gene clusters. Phylogenetic evidence suggests that the VL locus was present in the ancestor of all seven species achieving its present distribution through subsequent differential losses or retentions of specific conformations. We propose that the existence of variable loci, similar to the one we studied, in fungal genomes could potentially explain the dramatic differences in secondary metabolic diversity between closely related species of filamentous fungi, and contribute to host adaptation and the generation of metabolic diversity.

  11. The metabolic syndrome: prevalence, CHD risk, and treatment.

    Science.gov (United States)

    Sarti, Cinzia; Gallagher, John

    2006-01-01

    An increased risk of coronary heart disease (CHD) morbidity and mortality is associated with the metabolic syndrome, a condition characterized by the concomitant presence of several abnormalities, including abdominal obesity, dyslipidemia, hypertension, insulin resistance (with or without glucose intolerance or diabetes), microalbuminuria, prothrombotic, and proinflammatory states. Estimates of the prevalence of the metabolic syndrome indicate that this condition is now common and likely to increase dramatically over the coming decades, in parallel with greater rates of obesity and Type 2 diabetes. Risk factors for the metabolic syndrome are already present in obese children and adolescents. Thus, identifying and treating all affected individuals promptly and optimally are critical to ensure that this potentially challenging healthcare burden is minimized. Here, we review the prevalence of the metabolic syndrome, dyslipidemias, and CHD risk. Although changes in lifestyle are fundamental to reducing many of the CHD risk factors associated with the metabolic syndrome, pharmacologic interventions also play an important role. Retrospective subanalyses of the effects of statins on coronary event rates and lipid levels in patients with the metabolic syndrome included in clinical trials indicate that these agents are beneficial in correcting the extensive lipid abnormalities that are frequently present in these individuals. However, the optimal management of metabolic syndrome dyslipidemia will depend on the outcomes of future prospective clinical trials. This review examines the underlying causes and prevalence of the metabolic syndrome and its impact on CHD morbidity and mortality and discusses the role of statins in optimizing its management.

  12. The Metabolic Syndrome and Risk of Sudden Cardiac Death: The Atherosclerosis Risk in Communities Study.

    Science.gov (United States)

    Hess, Paul L; Al-Khalidi, Hussein R; Friedman, Daniel J; Mulder, Hillary; Kucharska-Newton, Anna; Rosamond, Wayne R; Lopes, Renato D; Gersh, Bernard J; Mark, Daniel B; Curtis, Lesley H; Post, Wendy S; Prineas, Ronald J; Sotoodehnia, Nona; Al-Khatib, Sana M

    2017-08-23

    Prior studies have demonstrated a link between the metabolic syndrome and increased risk of cardiovascular mortality. Whether the metabolic syndrome is associated with sudden cardiac death is uncertain. We characterized the relationship between sudden cardiac death and metabolic syndrome status among participants of the ARIC (Atherosclerosis Risk in Communities) Study (1987-2012) free of prevalent coronary heart disease or heart failure. Among 13 168 participants, 357 (2.7%) sudden cardiac deaths occurred during a median follow-up of 23.6 years. Participants with the metabolic syndrome (n=4444) had a higher cumulative incidence of sudden cardiac death than those without it (n=8724) (4.1% versus 2.3%, P metabolic syndrome, the metabolic syndrome was independently associated with sudden cardiac death (hazard ratio, 1.70, 95% confidence interval, 1.37-2.12, P metabolic syndrome criteria components. The risk of sudden cardiac death varied according to the number of metabolic syndrome components (hazard ratio 1.31 per additional component of the metabolic syndrome, 95% confidence interval, 1.19-1.44, P metabolic syndrome was associated with a significantly increased risk of sudden cardiac death irrespective of sex or race. The risk of sudden cardiac death was proportional to the number of metabolic syndrome components. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

  13. Metabolic syndrome and metabolic risk profile according to polycystic ovary syndrome phenotype.

    Science.gov (United States)

    Bil, Enes; Dilbaz, Berna; Cirik, Derya Akdag; Ozelci, Runa; Ozkaya, Enis; Dilbaz, Serdar

    2016-07-01

    It is unknown which phenotype of polycystic ovary syndrome (PCOS) has a greater metabolic risk and how to detect this risk. The aim of this study was therefore to compare the incidence of metabolic syndrome (MetS) and metabolic risk profile (MRP) for different phenotypes. A total of 100 consecutive newly diagnosed PCOS women in a tertiary referral hospital were recruited. Patients were classified into four phenotypes according to the Rotterdam criteria, on the presence of at least two of the three criteria hyperandrogenism (H), oligo/anovulation (O) and PCO appearance (P): phenotype A, H + O + P; phenotype B, H + O; phenotype C, H + P; phenotype D, O + P. Prevalence of MetS and MRP were compared among the four groups. Based on Natural Cholesterol Education Program Adult Treatment Panel III diagnostic criteria, MetS prevalence was higher in phenotypes A and B (29.6% and 34.5%) compared with the other phenotypes (10.0% and 8.3%; P 3.8 was significantly higher in androgenic PCOS phenotypes. After logistic regression analysis, visceral adiposity index (VAI) was the only independent predictor of MetS in PCOS (P = 0.002). VAI was also significantly higher in phenotype B, when compared with the others (P risk of MetS among the four phenotypes, and VAI may be a predictor of metabolic risk in PCOS women. © 2016 Japan Society of Obstetrics and Gynecology.

  14. Benefits of dark chocolate in treating metabolic syndrome.

    Science.gov (United States)

    Sander, Ruth

    2012-08-31

    Cardiovascular disease is the leading cause of death worldwide. The risk of developing it is significantly increased by the metabolic syndrome cluster of risk factors: waist measurement and other factors, such as blood pressure and cholesterol levels.

  15. Sunlight Modulates Fruit Metabolic Profile and Shapes the Spatial Pattern of Compound Accumulation within the Grape Cluster.

    Science.gov (United States)

    Reshef, Noam; Walbaum, Natasha; Agam, Nurit; Fait, Aaron

    2017-01-01

    Vineyards are characterized by their large spatial variability of solar irradiance (SI) and temperature, known to effectively modulate grape metabolism. To explore the role of sunlight in shaping fruit composition and cluster uniformity, we studied the spatial pattern of incoming irradiance, fruit temperature and metabolic profile within individual grape clusters under three levels of sunlight exposure. The experiment was conducted in a vineyard of Cabernet Sauvignon cv. located in the Negev Highlands, Israel, where excess SI and midday temperatures are known to degrade grape quality. Filtering SI lowered the surface temperature of exposed fruits and increased the uniformity of irradiance and temperature in the cluster zone. SI affected the overall levels and patterns of accumulation of sugars, organic acids, amino acids and phenylpropanoids, across the grape cluster. Increased exposure to sunlight was associated with lower accumulation levels of malate, aspartate, and maleate but with higher levels of valine, leucine, and serine, in addition to the stress-related proline and GABA. Flavan-3-ols metabolites showed a negative response to SI, whereas flavonols were highly induced. The overall levels of anthocyanins decreased with increased sunlight exposure; however, a hierarchical cluster analysis revealed that the members of this family were grouped into three distinct accumulation patterns, with malvidin anthocyanins and cyanidin-glucoside showing contrasting trends. The flavonol-glucosides, quercetin and kaempferol, exhibited a logarithmic response to SI, leading to improved cluster uniformity under high-light conditions. Comparing the within-cluster variability of metabolite accumulation highlighted the stability of sugars, flavan-3-ols, and cinnamic acid metabolites to SI, in contrast to the plasticity of flavonols. A correlation-based network analysis revealed that extended exposure to SI modified metabolic coordination, increasing the number of negative

  16. Social and Behavioral Risk Marker Clustering Associated with Biological Risk Factors for Coronary Heart Disease: NHANES 2001–2004

    Directory of Open Access Journals (Sweden)

    Nicholas J. Everage

    2014-01-01

    Full Text Available Background. Social and behavioral risk markers (e.g., physical activity, diet, smoking, and socioeconomic position cluster; however, little is known whether clustering is associated with coronary heart disease (CHD risk. Objectives were to determine if sociobehavioral clustering is associated with biological CHD risk factors (total cholesterol, HDL cholesterol, systolic blood pressure, body mass index, waist circumference, and diabetes and whether associations are independent of individual clustering components. Methods. Participants included 4,305 males and 4,673 females aged ≥20 years from NHANES 2001–2004. Sociobehavioral Risk Marker Index (SRI included a summary score of physical activity, fruit/vegetable consumption, smoking, and educational attainment. Regression analyses evaluated associations of SRI with aforementioned biological CHD risk factors. Receiver operator curve analyses assessed independent predictive ability of SRI. Results. Healthful clustering (SRI = 0 was associated with improved biological CHD risk factor levels in 5 of 6 risk factors in females and 2 of 6 risk factors in males. Adding SRI to models containing age, race, and individual SRI components did not improve C-statistics. Conclusions. Findings suggest that healthful sociobehavioral risk marker clustering is associated with favorable CHD risk factor levels, particularly in females. These findings should inform social ecological interventions that consider health impacts of addressing social and behavioral risk factors.

  17. Prioritizing the risk of plant pests by clustering methods; self-organising maps, k-means and hierarchical clustering

    Directory of Open Access Journals (Sweden)

    Susan Worner

    2013-09-01

    Full Text Available For greater preparedness, pest risk assessors are required to prioritise long lists of pest species with potential to establish and cause significant impact in an endangered area. Such prioritization is often qualitative, subjective, and sometimes biased, relying mostly on expert and stakeholder consultation. In recent years, cluster based analyses have been used to investigate regional pest species assemblages or pest profiles to indicate the risk of new organism establishment. Such an approach is based on the premise that the co-occurrence of well-known global invasive pest species in a region is not random, and that the pest species profile or assemblage integrates complex functional relationships that are difficult to tease apart. In other words, the assemblage can help identify and prioritise species that pose a threat in a target region. A computational intelligence method called a Kohonen self-organizing map (SOM, a type of artificial neural network, was the first clustering method applied to analyse assemblages of invasive pests. The SOM is a well known dimension reduction and visualization method especially useful for high dimensional data that more conventional clustering methods may not analyse suitably. Like all clustering algorithms, the SOM can give details of clusters that identify regions with similar pest assemblages, possible donor and recipient regions. More important, however SOM connection weights that result from the analysis can be used to rank the strength of association of each species within each regional assemblage. Species with high weights that are not already established in the target region are identified as high risk. However, the SOM analysis is only the first step in a process to assess risk to be used alongside or incorporated within other measures. Here we illustrate the application of SOM analyses in a range of contexts in invasive species risk assessment, and discuss other clustering methods such as k

  18. Health in police officers: Role of risk factor clusters and police divisions.

    Science.gov (United States)

    Habersaat, Stephanie A; Geiger, Ashley M; Abdellaoui, Sid; Wolf, Jutta M

    2015-10-01

    Law enforcement is a stressful occupation associated with significant health problems. To date, most studies have focused on one specific factor or one domain of risk factors (e.g., organizational, personal). However, it is more likely that specific combinations of risk factors are differentially health relevant and further, depend on the area of police work. A self-selected group of officers from the criminal, community, and emergency division (N = 84) of a Swiss state police department answered questionnaires assessing personal and organizational risk factors as well as mental and physical health indicators. In general, few differences were observed across divisions in terms of risk factors or health indicators. Cluster analysis of all risk factors established a high-risk and a low-risk cluster with significant links to all mental health outcomes. Risk cluster-by-division interactions revealed that, in the high-risk cluster, Emergency officers reported fewer physical symptoms, while community officers reported more posttraumatic stress symptoms. Criminal officers in the high-risk cluster tended to perceived more stress. Finally, perceived stress did not mediate the relationship between risk clusters and posttraumatic stress symptoms. In summary, our results support the notion that police officers are a heterogeneous population in terms of processes linking risk factors and health indicators. This heterogeneity thereby appeared to be more dependent on personal factors and individuals' perception of their own work conditions than division-specific work environments. Our findings further suggest that stress-reduction interventions that do not target job-relevant sources of stress may only show limited effectiveness in reducing health risks associated with police work. Copyright © 2015 Elsevier Ltd. All rights reserved.

  19. Prevalence of the metabolic syndrome among patients with type 2 ...

    African Journals Online (AJOL)

    DM), there is a multiple set of risk factors that commonly appear together forming what is now known as the 'Metabolic Syndrome' (MS). This 'clustering' of metabolic abnormalities that occur in the same individual appear to confer substantial ...

  20. Hormonal contraception in obesity, the metabolic syndrome, and diabetes

    DEFF Research Database (Denmark)

    Skouby, S.O.

    2010-01-01

    The rate of obesity worldwide is currently at epidemic proportions. As part of obesity, the metabolic syndrome describes a clustering of metabolic abnormalities that increase the cardiovascular and diabetes risk. In particular, women from developing countries have diabetes in the reproductive age...... diabetes, hormonal contraception should therefore be part of the highly needed preconception care and metabolic control...

  1. Hormonal Contraception in obestiy, the metabolic syndrome, and diabetes

    DEFF Research Database (Denmark)

    Skouby, Sven O.

    2010-01-01

    The rate of obesity worldwide is currently at epidemic proportions. As part of obesity, the metabolic syndrome describes a clustering of metabolic abnormalities that increase the cardiovascular and diabetes risk. In particular, women from developing countries have diabetes in the reproductive age...... diabetes, hormonal contraception should therefore be part of the highly needed preconception care and metabolic control...

  2. Cytokines and clustered cardiovascular risk factors in children

    DEFF Research Database (Denmark)

    Andersen, Lars Bo; Müller, Klaus; Eiberg, Stig

    2010-01-01

    pronounced in fat and unfit children based on the association with CRP levels. The association between fitness and fatness variables, insulin resistance, and clustered risk could be caused by other mechanisms related to these exposures. The role of IL-6 remains unclear.......The aim was to evaluate the possible role of tumor necrosis factor alpha (TNF-alpha), interleukin-6 (IL-6), C-reactive protein (CRP), low fitness, and fatness in the early development of clustering of cardiovascular disease (CVD) risk factors and insulin resistance. Subjects for this cross......-sectional study were obtained from 18 schools near Copenhagen, Denmark. Two hundred ten 9-year-old children were selected for cytokine analysis from 434 third-grade children with complete CVD risk profiles. The subgroup was selected according to the CVD risk factor profile (upper and lower quartile of a composite...

  3. Micro-scale Spatial Clustering of Cholera Risk Factors in Urban Bangladesh.

    Science.gov (United States)

    Bi, Qifang; Azman, Andrew S; Satter, Syed Moinuddin; Khan, Azharul Islam; Ahmed, Dilruba; Riaj, Altaf Ahmed; Gurley, Emily S; Lessler, Justin

    2016-02-01

    Close interpersonal contact likely drives spatial clustering of cases of cholera and diarrhea, but spatial clustering of risk factors may also drive this pattern. Few studies have focused specifically on how exposures for disease cluster at small spatial scales. Improving our understanding of the micro-scale clustering of risk factors for cholera may help to target interventions and power studies with cluster designs. We selected sets of spatially matched households (matched-sets) near cholera case households between April and October 2013 in a cholera endemic urban neighborhood of Tongi Township in Bangladesh. We collected data on exposures to suspected cholera risk factors at the household and individual level. We used intra-class correlation coefficients (ICCs) to characterize clustering of exposures within matched-sets and households, and assessed if clustering depended on the geographical extent of the matched-sets. Clustering over larger spatial scales was explored by assessing the relationship between matched-sets. We also explored whether different exposures tended to appear together in individuals, households, and matched-sets. Household level exposures, including: drinking municipal supplied water (ICC = 0.97, 95%CI = 0.96, 0.98), type of latrine (ICC = 0.88, 95%CI = 0.71, 1.00), and intermittent access to drinking water (ICC = 0.96, 95%CI = 0.87, 1.00) exhibited strong clustering within matched-sets. As the geographic extent of matched-sets increased, the concordance of exposures within matched-sets decreased. Concordance between matched-sets of exposures related to water supply was elevated at distances of up to approximately 400 meters. Household level hygiene practices were correlated with infrastructure shown to increase cholera risk. Co-occurrence of different individual level exposures appeared to mostly reflect the differing domestic roles of study participants. Strong spatial clustering of exposures at a small spatial scale in a cholera endemic

  4. Micro-scale Spatial Clustering of Cholera Risk Factors in Urban Bangladesh.

    Directory of Open Access Journals (Sweden)

    Qifang Bi

    2016-02-01

    Full Text Available Close interpersonal contact likely drives spatial clustering of cases of cholera and diarrhea, but spatial clustering of risk factors may also drive this pattern. Few studies have focused specifically on how exposures for disease cluster at small spatial scales. Improving our understanding of the micro-scale clustering of risk factors for cholera may help to target interventions and power studies with cluster designs. We selected sets of spatially matched households (matched-sets near cholera case households between April and October 2013 in a cholera endemic urban neighborhood of Tongi Township in Bangladesh. We collected data on exposures to suspected cholera risk factors at the household and individual level. We used intra-class correlation coefficients (ICCs to characterize clustering of exposures within matched-sets and households, and assessed if clustering depended on the geographical extent of the matched-sets. Clustering over larger spatial scales was explored by assessing the relationship between matched-sets. We also explored whether different exposures tended to appear together in individuals, households, and matched-sets. Household level exposures, including: drinking municipal supplied water (ICC = 0.97, 95%CI = 0.96, 0.98, type of latrine (ICC = 0.88, 95%CI = 0.71, 1.00, and intermittent access to drinking water (ICC = 0.96, 95%CI = 0.87, 1.00 exhibited strong clustering within matched-sets. As the geographic extent of matched-sets increased, the concordance of exposures within matched-sets decreased. Concordance between matched-sets of exposures related to water supply was elevated at distances of up to approximately 400 meters. Household level hygiene practices were correlated with infrastructure shown to increase cholera risk. Co-occurrence of different individual level exposures appeared to mostly reflect the differing domestic roles of study participants. Strong spatial clustering of exposures at a small spatial scale in a

  5. The Role of Androgen Excess in Metabolic Dysfunction in Women : Androgen Excess and Female Metabolic Dysfunction.

    Science.gov (United States)

    Escobar-Morreale, Héctor F

    2017-01-01

    Polycystic ovary syndrome (PCOS) is characterized by the association of androgen excess with chronic oligoovulation and/or polycystic ovarian morphology, yet metabolic disorders and classic and nonclassic cardiovascular risk factors cluster in these women from very early in life. This chapter focuses on the mechanisms underlying the association of PCOS with metabolic dysfunction, focusing on the role of androgen excess on the development of visceral adiposity and adipose tissue dysfunction.

  6. Lactation and changes in maternal metabolic risk factors.

    Science.gov (United States)

    Gunderson, Erica P; Lewis, Cora E; Wei, Gina S; Whitmer, Rachel A; Quesenberry, Charles P; Sidney, Steve

    2007-03-01

    To examine the relationship between duration of lactation and changes in maternal metabolic risk factors. This 3-year prospective study examined changes in metabolic risk factors among lactating women from preconception to postweaning and among nonlactating women from preconception to postdelivery, in comparison with nongravid women. Of 1,051 (490 black, 561 white) women who attended two consecutive study visits in years 7 (1992-1993) and 10 (1995-1996), 942 were nongravid and 109 had one interim birth. Of parous women, 48 (45%) did not lactate, and 61 (55%) lactated and weaned before year 10. The lactated and weaned women were subdivided by duration of lactation into less than 3 months and 3 months or more. Multiple linear regression models estimated mean 3-year changes in metabolic risk factors adjusted for age, race, parity, education, and behavioral covariates. Both parous women who did not lactate and parous women who lactated and weaned gained more weight (+5.6, +4.4 kg) and waist girth (+5.3, +4.9 cm) than nongravid women over the 3-year interval; Pdecrements for both parous women who did not lactate and parous women who lactated and weaned were 4.0 mg/dL greater than for nongravid women (Pdecrement in high-density lipoprotein cholesterol (-1.3 mg/dL versus -7.3 mg/dL for less than 3 months; P<.01). Lactation may attenuate unfavorable metabolic risk factor changes that occur with pregnancy, with effects apparent after weaning. As a modifiable behavior, lactation may affect women's future risk of cardiovascular and metabolic diseases. II.

  7. Fascioliasis risk factors and space-time clusters in domestic ruminants in Bangladesh.

    Science.gov (United States)

    Rahman, A K M Anisur; Islam, S K Shaheenur; Talukder, Md Hasanuzzaman; Hassan, Md Kumrul; Dhand, Navneet K; Ward, Michael P

    2017-05-08

    A retrospective observational study was conducted to identify fascioliasis hotspots, clusters, potential risk factors and to map fascioliasis risk in domestic ruminants in Bangladesh. Cases of fascioliasis in cattle, buffalo, sheep and goats from all districts in Bangladesh between 2011 and 2013 were identified via secondary surveillance data from the Department of Livestock Services' Epidemiology Unit. From each case report, date of report, species affected and district data were extracted. The total number of domestic ruminants in each district was used to calculate fascioliasis cases per ten thousand animals at risk per district, and this was used for cluster and hotspot analysis. Clustering was assessed with Moran's spatial autocorrelation statistic, hotspots with the local indicator of spatial association (LISA) statistic and space-time clusters with the scan statistic (Poisson model). The association between district fascioliasis prevalence and climate (temperature, precipitation), elevation, land cover and water bodies was investigated using a spatial regression model. A total of 1,723,971 cases of fascioliasis were reported in the three-year study period in cattle (1,164,560), goats (424,314), buffalo (88,924) and sheep (46,173). A total of nine hotspots were identified; one of these persisted in each of the three years. Only two local clusters were found. Five space-time clusters located within 22 districts were also identified. Annual risk maps of fascioliasis cases correlated with the hotspots and clusters detected. Cultivated and managed (P fascioliasis in Bangladesh, respectively. Results indicate that due to land use characteristics some areas of Bangladesh are at greater risk of fascioliasis. The potential risk factors, hot spots and clusters identified in this study can be used to guide science-based treatment and control decisions for fascioliasis in Bangladesh and in other similar geo-climatic zones throughout the world.

  8. Baseline Levels, and Changes Over Time in Body Mass Index and Fasting Insulin, and Their Relationship to Change in Metabolic Trait Clustering

    Science.gov (United States)

    Sullivan, Lisa M.; Fox, Caroline S.; Wilson, Peter W.F.; Nathan, David M.; Vasan, Ramachandran S.; D'Agostino, Ralph B.; Meigs, James B.

    2014-01-01

    Abstract Background: Multiple abnormal metabolic traits are found together or “cluster” within individuals more often than is predicted by chance. The individual and combined role of adiposity and insulin resistance (IR) on metabolic trait clustering is uncertain. We tested the hypothesis that change in trait clustering is a function of both baseline level and change in these measures. Methods: In 2616 nondiabetic Framingham Offspring Study participants, body mass index (BMI) and fasting insulin were related to a within-person 7-year change in a trait score of 0–4 Adult Treatment Panel III metabolic syndrome traits (hypertension, high triglycerides, low high-density lipoprotein cholesterol, hyperglycemia). Results: At baseline assessment, mean trait score was 1.4 traits, and 7-year mean (SEM) change in trait score was +0.25 (0.02) traits, Pfasting insulin were similarly related to trait score change. In models adjusted for age–sex–baseline cluster score, 7-year change in trait score was significantly related to both a 1-quintile difference in baseline BMI (0.07 traits) and fasting insulin (0.18 traits), and to both a 1-quintile 7-year increase in BMI (0.21 traits) and fasting insulin (0.18 traits). Conclusions: Change in metabolic trait clustering was significantly associated with baseline levels and changes in both BMI and fasting insulin, highlighting the importance of both obesity and IR in the clustering of metabolic traits. PMID:25007010

  9. Framingham risk score for estimation of 10-years of cardiovascular diseases risk in patients with metabolic syndrome.

    Science.gov (United States)

    Jahangiry, Leila; Farhangi, Mahdieh Abbasalizad; Rezaei, Fatemeh

    2017-11-13

    There are a few studies evaluating the predictive value of Framingham risk score (FRS) for cardiovascular disease (CVD) risk assessment in patients with metabolic syndrome in Iran. Because of the emerging high prevalence of CVD among Iranian population, it is important to predict its risk among populations with potential predictive tools. Therefore, the aim of the current study is to evaluate the FRS and its determinants in patients with metabolic syndrome. In the current cross-sectional study, 160 patients with metabolic syndrome diagnosed according to the National Cholesterol Education Adult Treatment Panel (ATP) III criteria were enrolled. The FRS was calculated using a computer program by a previously suggested algorithm. Totally, 77.5, 16.3, and 6.3% of patients with metabolic syndrome were at low, intermediate, and high risk of CVD according to FRS categorization. The highest prevalence of all of metabolic syndrome components were in low CVD risk according to the FRS grouping (P metabolic syndrome and different FRS categorization among patients with metabolic syndrome were identified. High SBP and FSG were associated with meaningfully increased risk of CVD compared with other parameters. The study is not a trial; the registration number is not applicable.

  10. Histamine metabolism in cluster headache and migraine. Catabolism of /sup 14/C histamine

    Energy Technology Data Exchange (ETDEWEB)

    Sjaastad, O; Sjaastad, O V

    1977-09-12

    Various parameters of histamine metabolism were studied in patients with migraine, cluster headache and chronic paroxysmal hemicrania. These included urinary excretion of radioactivity and of /sup 14/C histamine and its metabolites, exhaled /sup 14/CO/sub 2/ and fecal radioactivity after oral as well as subcutaneous administration of radioactive histamine. No marked deviation from the normal was found except in one patient with the cluster headache variant, chronic paroxysmal hemicrania, in whom an aberration in /sup 14/C histamine degradation seemed to be present. Only minute quantities of the /sup 14/C histamine metabolite C14 imidazoleacetic acid riboside seemed to be formed during a period with severe paraxysms. During a symptom-free period no deviation from normal was observed. The most likely explanation for this finding seems to be a defect in the conversion of imidazoleacetic acid to its riboside. This defect may possibly explain the increased urinary excretion of histamine in this particular patient. The relationship of this metabolic aberration to the production of headache still remains dubious for various reasons.

  11. Physical activity, BMI and metabolic risk in Portuguese adolescents

    Directory of Open Access Journals (Sweden)

    Fernanda Karina dos Santos

    2016-03-01

    Full Text Available DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n1p103   It has been reported, in the last decades, a significant decrease in physical activity (PA levels, with a consequent increase in obesity and metabolic risk factors among youth. The aims of this study were to describe PA levels, the prevalence of overweight/obesity and metabolic risk factors, and to examine the association between PA and body mass index (BMI with metabolic risk among Portuguese youth. The sample comprises 212 Portuguese adolescents (12-16 years old. Height and weight were measured. PA was estimated with the Bouchard questionnaire (3 days recall, as well as with the use of a pedometer (used for 5 consecutive days. Metabolic risk factors comprised fasting glucose, triglycerides, HDL-cholesterol, systolic blood pressure and waist circumference. Subjects were classified as normal weight, overweight or obese according to BMI; the maturational status was indirectly estimated with the maturity offset procedure. A continuous metabolic risk score was computed (zMR and PA values were divided into tertiles. Qui-square test, t-test and ANOVA were used in statistical analyses. SPSS 18.0 and WinPepi softwares were used and p<0.05. A moderate to high prevalence of overweight/obesity and HDL-cholesterol was found, as well as a high prevalence of high blood pressure and low to moderate PA levels among Portuguese youth. The relationship between BMI and zMR showed that obese adolescents have higher zMR when compared to normal weight or overweight adolescents. This finding suggests that increased levels of PA and reduction in the prevalence of overweight/obesity may have a positive role against the development of metabolic risk factors.

  12. Spatial clustering and local risk of leprosy in São Paulo, Brazil.

    Directory of Open Access Journals (Sweden)

    Antônio Carlos Vieira Ramos

    2017-02-01

    Full Text Available Although the detection rate is decreasing, the proportion of new cases with WHO grade 2 disability (G2D is increasing, creating concern among policy makers and the Brazilian government. This study aimed to identify spatial clustering of leprosy and classify high-risk areas in a major leprosy cluster using the SatScan method.Data were obtained including all leprosy cases diagnosed between January 2006 and December 2013. In addition to the clinical variable, information was also gathered regarding the G2D of the patient at diagnosis and after treatment. The Scan Spatial statistic test, developed by Kulldorff e Nagarwalla, was used to identify spatial clustering and to measure the local risk (Relative Risk-RR of leprosy. Maps considering these risks and their confidence intervals were constructed.A total of 434 cases were identified, including 188 (43.31% borderline leprosy and 101 (23.28% lepromatous leprosy cases. There was a predominance of males, with ages ranging from 15 to 59 years, and 51 patients (11.75% presented G2D. Two significant spatial clusters and three significant spatial-temporal clusters were also observed. The main spatial cluster (p = 0.000 contained 90 census tracts, a population of approximately 58,438 inhabitants, detection rate of 22.6 cases per 100,000 people and RR of approximately 3.41 (95%CI = 2.721-4.267. Regarding the spatial-temporal clusters, two clusters were observed, with RR ranging between 24.35 (95%CI = 11.133-52.984 and 15.24 (95%CI = 10.114-22.919.These findings could contribute to improvements in policies and programming, aiming for the eradication of leprosy in Brazil. The Spatial Scan statistic test was found to be an interesting resource for health managers and healthcare professionals to map the vulnerability of areas in terms of leprosy transmission risk and areas of underreporting.

  13. Spatial clustering and local risk of leprosy in São Paulo, Brazil.

    Science.gov (United States)

    Ramos, Antônio Carlos Vieira; Yamamura, Mellina; Arroyo, Luiz Henrique; Popolin, Marcela Paschoal; Chiaravalloti Neto, Francisco; Palha, Pedro Fredemir; Uchoa, Severina Alice da Costa; Pieri, Flávia Meneguetti; Pinto, Ione Carvalho; Fiorati, Regina Célia; Queiroz, Ana Angélica Rêgo de; Belchior, Aylana de Souza; Dos Santos, Danielle Talita; Garcia, Maria Concebida da Cunha; Crispim, Juliane de Almeida; Alves, Luana Seles; Berra, Thaís Zamboni; Arcêncio, Ricardo Alexandre

    2017-02-01

    Although the detection rate is decreasing, the proportion of new cases with WHO grade 2 disability (G2D) is increasing, creating concern among policy makers and the Brazilian government. This study aimed to identify spatial clustering of leprosy and classify high-risk areas in a major leprosy cluster using the SatScan method. Data were obtained including all leprosy cases diagnosed between January 2006 and December 2013. In addition to the clinical variable, information was also gathered regarding the G2D of the patient at diagnosis and after treatment. The Scan Spatial statistic test, developed by Kulldorff e Nagarwalla, was used to identify spatial clustering and to measure the local risk (Relative Risk-RR) of leprosy. Maps considering these risks and their confidence intervals were constructed. A total of 434 cases were identified, including 188 (43.31%) borderline leprosy and 101 (23.28%) lepromatous leprosy cases. There was a predominance of males, with ages ranging from 15 to 59 years, and 51 patients (11.75%) presented G2D. Two significant spatial clusters and three significant spatial-temporal clusters were also observed. The main spatial cluster (p = 0.000) contained 90 census tracts, a population of approximately 58,438 inhabitants, detection rate of 22.6 cases per 100,000 people and RR of approximately 3.41 (95%CI = 2.721-4.267). Regarding the spatial-temporal clusters, two clusters were observed, with RR ranging between 24.35 (95%CI = 11.133-52.984) and 15.24 (95%CI = 10.114-22.919). These findings could contribute to improvements in policies and programming, aiming for the eradication of leprosy in Brazil. The Spatial Scan statistic test was found to be an interesting resource for health managers and healthcare professionals to map the vulnerability of areas in terms of leprosy transmission risk and areas of underreporting.

  14. Predictors of Obstructive Sleep Apnea Risk among Blacks with Metabolic Syndrome.

    Science.gov (United States)

    Rogers, A; Ravenell, J; Donat, M; Sexias, A; Ogedegbe, C; McFarlane, S I; Jean-Louis, G

    Identification of risk factors for obstructive sleep apnea (OSA) is important to enable comprehensive intervention to reduce OSA-related cardiovascular disease (CVD). The metabolic syndrome outcome study (MetSO) provides a unique opportunity to address these factors. This study investigated risk of OSA among blacks with metabolic syndrome. The present study utilized data from MetSO, an NIH-funded cohort study of blacks with metabolic syndrome. A total of 1,035 patients provided data for the analysis. These included sociodemographic factors, health risks, and medical history. Physician-diagnosed conditions were obtained using an electronic medical record system (Allscripts, Sunrise Enterprise). Patients were diagnosed with metabolic syndrome using criteria articulated in the joint interim statement for harmonizing the metabolic syndrome. Patients with a score ≥6 on the Apnea Risk Evaluation System (ARES) questionnaire were considered at risk for OSA. Obesity is defined by body mass index (BMI ≥ 30 kg/m 2 ). Of the 1,035 patients screened in the MetSO cohort, 48.9% were at high risk for OSA. Using multivariate-adjusted logistic regression analysis, we observed that obesity was the strongest predictor of OSA risk (OR=1.59, 95%CI=1.24-2.04, pmetabolic syndrome.

  15. Fatty liver as a risk factor for progression from metabolically healthy to metabolically abnormal in non-overweight individuals.

    Science.gov (United States)

    Hashimoto, Yoshitaka; Hamaguchi, Masahide; Fukuda, Takuya; Ohbora, Akihiro; Kojima, Takao; Fukui, Michiaki

    2017-07-01

    Recent studies identified that metabolically abnormal non-obese phenotype is a risk factor for cardiovascular diseases. However, little is known about risk factor for progression from metabolically healthy non-overweight to metabolically abnormal phenotype. We hypothesized that fatty liver had a clinical impact on progression from metabolically healthy non-overweight to metabolically abnormal phenotype. In this retrospective cohort study, 14,093 Japanese (7557 men and 6736 women), who received the health-checkup program from 2004 to 2012, were enrolled. Overweight and obesity were defined as body mass index 23.0-25.0 and ≥25.0 kg/m 2 . Four metabolic factors (impaired fasting glucose, hypertension, hypertriglyceridemia and low high density lipoprotein-cholesterol concentration) were used for definition of metabolically healthy (less than two factors) or metabolically abnormal (two or more). We divided the participants into three groups: metabolically healthy non-overweight (9755 individuals, men/women = 4290/5465), metabolically healthy overweight (2547 individuals, 1800/747) and metabolically healthy obesity (1791 individuals, 1267/524). Fatty liver was diagnosed by ultrasonography. Over the median follow-up period of 5.3 years, 873 metabolically healthy non-overweight, 512 metabolically healthy overweight and 536 metabolically healthy obesity individuals progressed to metabolically abnormal. The adjusted hazard risks of fatty liver on progression were 1.49 (95% confidence interval 1.20-1.83, p = 0.005) in metabolically healthy non-overweight, 1.37 (1.12-1.66, p = 0.002) in metabolically healthy overweight and 1.38 (1.15-1.66, p overweight individuals.

  16. Cardiovascular Risk Stratification in Patients with Metabolic Syndrome Without Diabetes or Cardiovascular Disease: Usefulness of Metabolic Syndrome Severity Score.

    Science.gov (United States)

    Masson, Walter; Epstein, Teo; Huerín, Melina; Lobo, Lorenzo Martín; Molinero, Graciela; Angel, Adriana; Masson, Gerardo; Millán, Diana; De Francesca, Salvador; Vitagliano, Laura; Cafferata, Alberto; Losada, Pablo

    2017-09-01

    The estimated cardiovascular risk determined by the different risk scores, could be heterogeneous in patients with metabolic syndrome without diabetes or vascular disease. This risk stratification could be improved by detecting subclinical carotid atheromatosis. To estimate the cardiovascular risk measured by different scores in patients with metabolic syndrome and analyze its association with the presence of carotid plaque. Non-diabetic patients with metabolic syndrome (Adult Treatment Panel III definition) without cardiovascular disease were enrolled. The Framingham score, the Reynolds score, the new score proposed by the 2013 ACC/AHA Guidelines and the Metabolic Syndrome Severity Calculator were calculated. Prevalence of carotid plaque was determined by ultrasound examination. A Receiver Operating Characteristic analysis was performed. A total of 238 patients were enrolled. Most patients were stratified as "low risk" by Framingham score (64%) and Reynolds score (70.1%). Using the 2013 ACC/AHA score, 45.3% of the population had a risk ≥7.5%. A significant correlation was found between classic scores but the agreement (concordance) was moderate. The correlation between classical scores and the Metabolic Syndrome Severity Calculator was poor. Overall, the prevalence of carotid plaque was 28.2%. The continuous metabolic syndrome score used in our study showed a good predictive power to detect carotid plaque (area under the curve 0.752). In this population, the calculated cardiovascular risk was heterogenic. The prevalence of carotid plaque was high. The Metabolic Syndrome Severity Calculator showed a good predictive power to detect carotid plaque.

  17. TLR-activated repression of Fe-S cluster biogenesis drives a metabolic shift and alters histone and tubulin acetylation.

    Science.gov (United States)

    Tong, Wing-Hang; Maio, Nunziata; Zhang, De-Liang; Palmieri, Erika M; Ollivierre, Hayden; Ghosh, Manik C; McVicar, Daniel W; Rouault, Tracey A

    2018-05-22

    Given the essential roles of iron-sulfur (Fe-S) cofactors in mediating electron transfer in the mitochondrial respiratory chain and supporting heme biosynthesis, mitochondrial dysfunction is a common feature in a growing list of human Fe-S cluster biogenesis disorders, including Friedreich ataxia and GLRX5-related sideroblastic anemia. Here, our studies showed that restriction of Fe-S cluster biogenesis not only compromised mitochondrial oxidative metabolism but also resulted in decreased overall histone acetylation and increased H3K9me3 levels in the nucleus and increased acetylation of α-tubulin in the cytosol by decreasing the lipoylation of the pyruvate dehydrogenase complex, decreasing levels of succinate dehydrogenase and the histone acetyltransferase ELP3, and increasing levels of the tubulin acetyltransferase MEC17. Previous studies have shown that the metabolic shift in Toll-like receptor (TLR)-activated myeloid cells involves rapid activation of glycolysis and subsequent mitochondrial respiratory failure due to nitric oxide (NO)-mediated damage to Fe-S proteins. Our studies indicated that TLR activation also actively suppresses many components of the Fe-S cluster biogenesis machinery, which exacerbates NO-mediated damage to Fe-S proteins by interfering with cluster recovery. These results reveal new regulatory pathways and novel roles of the Fe-S cluster biogenesis machinery in modifying the epigenome and acetylome and provide new insights into the etiology of Fe-S cluster biogenesis disorders.

  18. Metabolic state alters economic decision making under risk in humans.

    Directory of Open Access Journals (Sweden)

    Mkael Symmonds

    2010-06-01

    Full Text Available Animals' attitudes to risk are profoundly influenced by metabolic state (hunger and baseline energy stores. Specifically, animals often express a preference for risky (more variable food sources when below a metabolic reference point (hungry, and safe (less variable food sources when sated. Circulating hormones report the status of energy reserves and acute nutrient intake to widespread targets in the central nervous system that regulate feeding behaviour, including brain regions strongly implicated in risk and reward based decision-making in humans. Despite this, physiological influences per se have not been considered previously to influence economic decisions in humans. We hypothesised that baseline metabolic reserves and alterations in metabolic state would systematically modulate decision-making and financial risk-taking in humans.We used a controlled feeding manipulation and assayed decision-making preferences across different metabolic states following a meal. To elicit risk-preference, we presented a sequence of 200 paired lotteries, subjects' task being to select their preferred option from each pair. We also measured prandial suppression of circulating acyl-ghrelin (a centrally-acting orexigenic hormone signalling acute nutrient intake, and circulating leptin levels (providing an assay of energy reserves. We show both immediate and delayed effects on risky decision-making following a meal, and that these changes correlate with an individual's baseline leptin and changes in acyl-ghrelin levels respectively.We show that human risk preferences are exquisitely sensitive to current metabolic state, in a direction consistent with ecological models of feeding behaviour but not predicted by normative economic theory. These substantive effects of state changes on economic decisions perhaps reflect shared evolutionarily conserved neurobiological mechanisms. We suggest that this sensitivity in human risk-preference to current metabolic state has

  19. Identifying Children at Risk of Problematic Development: Latent Clusters Among Childhood Arrestees

    NARCIS (Netherlands)

    Geluk, C.A.M.L.; van Domburgh, L.; Doreleijers, T.A.H.; Jansen, L.M.C.; Bouwmeester, S.; Galindo Garre, F.; Vermeiren, R.R.J.M.

    2014-01-01

    The presence of clusters characterized by distinct profiles of individual, family and peer characteristics among childhood arrestees was investigated and cluster membership stability after 2 years was determined. Identification of such clusters in this heterogeneous at-risk group can extend insight

  20. Clustering of risk factors for noncommunicable diseases in Brazilian adolescents: prevalence and correlates.

    Science.gov (United States)

    Cureau, Felipe Vogt; Duarte, Paola; dos Santos, Daniela Lopes; Reichert, Felipe Fossati

    2014-07-01

    Few studies have investigated the prevalence and correlates of risk factors for noncommunicable diseases among Brazilian adolescents. We evaluated the clustering of risk factors and their associations with sociodemographic variables. We used a cross-sectional study carried out in 2011 comprising 1132 students aged 14-19 years from Santa Maria, Brazil. The cluster index was created as the sum of the risk factors. For the correlates analysis, a multinomial logistic regression was used. Furthermore, the observed/expected ratio was calculated. Prevalence of individual risk factors studied was as follows: 85.8% unhealthy diets, 53.5% physical inactivity, 31.3% elevated blood pressure, 23.9% overweight, 22.3% excessive drinking alcohol, and 8.6% smoking. Only 2.8% of the adolescents did not present any risk factor, while 21.7%, 40.9%, 23.1%, and 11.5% presented 1, 2, 3, and 4 or more risk factors, respectively. The most prevalent combination was between unhealthy diets and physical inactivity (observed/expected ratio =1.32; 95% CI: 1.16-1.49). Clustering of risk factors was directly associated with age and inversely associated with socioeconomic status. Clustering of risk factors for noncommunicable diseases is high in Brazilian adolescents. Preventive strategies are more likely to be successful if focusing on multiple risk factors, instead of a single one.

  1. Associations between metabolic disorders and risk of cancer in Danish men and women

    DEFF Research Database (Denmark)

    Berger, Siv Mari; Gislason, Gunnar; Moore, Lynn L.

    2016-01-01

    BACKGROUND: The prevalence of metabolic disorders is increasing and has been suggested to increase cancer risk, but the relation between metabolic disorders and risk of cancer is unclear, especially in young adults. We investigated the associations between diabetes, hypertension, and hypercholest......BACKGROUND: The prevalence of metabolic disorders is increasing and has been suggested to increase cancer risk, but the relation between metabolic disorders and risk of cancer is unclear, especially in young adults. We investigated the associations between diabetes, hypertension......, and hypercholesterolemia on risk of all-site as well as site-specific cancers. METHODS: We consecutively included men and women from nationwide Danish registries 1996-2011, if age 20-89 and without cancer prior to date of entry. We followed them throughout 2012. Metabolic disorders were defined using discharge diagnosis...... codes and claimed prescriptions. We used time-dependent sex-stratified Poisson regression models adjusted for age and calendar year to assess associations between metabolic disorders, and risk of all-site and site-specific cancer (no metabolic disorders as reference). RESULTS: Over a mean follow...

  2. Clustering of Multiple Lifestyle Behaviours and Its Association to Cardiovascular Risk Factors in Children

    DEFF Research Database (Denmark)

    Bel-Serrat, Silvia; Mouratidou, Theodora; Santaliestra-Pasías, Alba María

    2013-01-01

    ratio, triglycerides, sum of two skinfolds and systolic blood pressure (SBP) z-scores were summed to compute a CVD risk score. Cluster analyses stratified by sex and age groups (2 to ...) consumption, PA performance and television video/DVD viewing. RESULTS: Five clusters were identified. Associations between CVD risk factors and score, and clusters were obtained by multiple linear regression using cluster 5 (‘low beverages consumption and low sedentary’) as the reference cluster. SBP...... association was observed between CVD risk score and clusters 2 (β=0.60; 95% CI: 0.20, 1.01), 3 (β=0.55; 95% CI: 0.14, 0.97) and 4 (β=0.60, 95% CI: 0.18, 1.02) in older boys. CONCLUSIONS: Low television/video/DVD viewing levels and low SSB consumption may result in a healthier CVD profile rather than having...

  3. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.

    Science.gov (United States)

    2016-10-08

    The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56

  4. Homocysteine metabolism and risk of schizophrenia

    NARCIS (Netherlands)

    Muntjewerff, J.W.

    2006-01-01

    The one-carbon cycle hypothesis initiated research of schizophrenia risk in relation to sensitive markers of aberrant homocysteine metabolism, such as B-vitamin concentrations, plasma total homocysteine (tHcy) concentrations, and genetic determinants. We observed decreased plasma and elevated RBC

  5. A clustering analysis of lipoprotein diameters in the metabolic syndrome

    Science.gov (United States)

    The presence of smaller low-density lipoproteins (LDL) has been associated with atherosclerosis risk, and the insulin resistance (IR) underlying the metabolic syndrome (MetS). In addition, some research has supported the association of very low-, low- and high-density lipoprotein (VLDL HDL) particle...

  6. Identifying At-Risk Students in General Chemistry via Cluster Analysis of Affective Characteristics

    Science.gov (United States)

    Chan, Julia Y. K.; Bauer, Christopher F.

    2014-01-01

    The purpose of this study is to identify academically at-risk students in first-semester general chemistry using affective characteristics via cluster analysis. Through the clustering of six preselected affective variables, three distinct affective groups were identified: low (at-risk), medium, and high. Students in the low affective group…

  7. Risk Assessment for Bridges Safety Management during Operation Based on Fuzzy Clustering Algorithm

    Directory of Open Access Journals (Sweden)

    Xia Hanyu

    2016-01-01

    Full Text Available In recent years, large span and large sea-crossing bridges are built, bridges accidents caused by improper operational management occur frequently. In order to explore the better methods for risk assessment of the bridges operation departments, the method based on fuzzy clustering algorithm is selected. Then, the implementation steps of fuzzy clustering algorithm are described, the risk evaluation system is built, and Taizhou Bridge is selected as an example, the quantitation of risk factors is described. After that, the clustering algorithm based on fuzzy equivalence is calculated on MATLAB 2010a. In the last, Taizhou Bridge operation management departments are classified and sorted according to the degree of risk, and the safety situation of operation departments is analyzed.

  8. Metabolic syndrome and benign prostatic hyperplasia: An update

    Directory of Open Access Journals (Sweden)

    Ho-Yin Ngai

    2017-07-01

    Full Text Available Metabolic syndrome (MetS is a cluster of metabolic abnormalities related to central adiposity and insulin resistance. Its importance is increasingly recognized as it associates with increased risks of metabolic and cardiovascular diseases. These metabolic aberrations of MetS may lead to development of benign prostatic hyperplasia (BPH and lower urinary tract symptoms (LUTS in men. A 26.5%–55.6% prevalence of MetS in men with LUTS was reported in worldwide studies. Although the exact biological pathway is not clear yet, insulin resistance, increased visceral adiposity, sex hormone alterations and cellular inflammatory reactions played significant roles in the related pathophysiological processes. Clinician should recognize the cardiovascular and metabolic impacts of MetS in men with LUTS, early risk factors optimization and use of appropriate medical therapy may possibly alter or slower the progression of LUTS/BPH, and potentially avoid unnecessary morbidities and mortalities from cardiovascular and metabolic diseases for those men.

  9. Nutrigenetics, metabolic syndrome risk and personalized nutrition.

    Science.gov (United States)

    Perez-Martinez, Pablo; Phillips, Catherine M; Delgado-Lista, Javier; Garcia-Rios, Antonio; Lopez-Miranda, Jose; Perez-Jimenez, Francisco

    2013-11-01

    The metabolic syndrome (MetS) is a constellation of metabolic risk factors reflecting overnutrition and sedentary lifestyle and its increasing prevalence is reaching epidemic proportions. The importance of MetS lies in its close association with the risk of cardiometabolic disease. In this scenario, the principal goals of pharmacological therapy for these patients are to achieve and maintain an optimal cardiometabolic control, including lipids, blood glucose and blood pressure; in order to prevent and treat potential complications. Moreover nutrition has commonly been accepted as a cornerstone of treatment for MetS, with the expectation that an appropriate intake of energy and nutrients will improve its control. However the question arises as to whether dietary therapy may require a more personalised approach. In this regard improvements in genetic analysis have enhanced our understanding of the role of genetics in this dietrelated condition. In this review we will present recent data highlighting the importance of gene-nutrient interactions in the context of MetS risk.

  10. A global evolutionary and metabolic analysis of human obesity gene risk variants.

    Science.gov (United States)

    Castillo, Joseph J; Hazlett, Zachary S; Orlando, Robert A; Garver, William S

    2017-09-05

    It is generally accepted that the selection of gene variants during human evolution optimized energy metabolism that now interacts with our obesogenic environment to increase the prevalence of obesity. The purpose of this study was to perform a global evolutionary and metabolic analysis of human obesity gene risk variants (110 human obesity genes with 127 nearest gene risk variants) identified using genome-wide association studies (GWAS) to enhance our knowledge of early and late genotypes. As a result of determining the mean frequency of these obesity gene risk variants in 13 available populations from around the world our results provide evidence for the early selection of ancestral risk variants (defined as selection before migration from Africa) and late selection of derived risk variants (defined as selection after migration from Africa). Our results also provide novel information for association of these obesity genes or encoded proteins with diverse metabolic pathways and other human diseases. The overall results indicate a significant differential evolutionary pattern for the selection of obesity gene ancestral and derived risk variants proposed to optimize energy metabolism in varying global environments and complex association with metabolic pathways and other human diseases. These results are consistent with obesity genes that encode proteins possessing a fundamental role in maintaining energy metabolism and survival during the course of human evolution. Copyright © 2017. Published by Elsevier B.V.

  11. Local bladder cancer clusters in southeastern Michigan accounting for risk factors, covariates and residential mobility.

    Directory of Open Access Journals (Sweden)

    Geoffrey M Jacquez

    Full Text Available In case control studies disease risk not explained by the significant risk factors is the unexplained risk. Considering unexplained risk for specific populations, places and times can reveal the signature of unidentified risk factors and risk factors not fully accounted for in the case-control study. This potentially can lead to new hypotheses regarding disease causation.Global, local and focused Q-statistics are applied to data from a population-based case-control study of 11 southeast Michigan counties. Analyses were conducted using both year- and age-based measures of time. The analyses were adjusted for arsenic exposure, education, smoking, family history of bladder cancer, occupational exposure to bladder cancer carcinogens, age, gender, and race.Significant global clustering of cases was not found. Such a finding would indicate large-scale clustering of cases relative to controls through time. However, highly significant local clusters were found in Ingham County near Lansing, in Oakland County, and in the City of Jackson, Michigan. The Jackson City cluster was observed in working-ages and is thus consistent with occupational causes. The Ingham County cluster persists over time, suggesting a broad-based geographically defined exposure. Focused clusters were found for 20 industrial sites engaged in manufacturing activities associated with known or suspected bladder cancer carcinogens. Set-based tests that adjusted for multiple testing were not significant, although local clusters persisted through time and temporal trends in probability of local tests were observed.Q analyses provide a powerful tool for unpacking unexplained disease risk from case-control studies. This is particularly useful when the effect of risk factors varies spatially, through time, or through both space and time. For bladder cancer in Michigan, the next step is to investigate causal hypotheses that may explain the excess bladder cancer risk localized to areas of

  12. Prevalence, Co-Occurrence and Clustering of Lifestyle Risk Factors Among UK Men

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    Stephen Zwolinsky

    2017-01-01

    Full Text Available Objective: Men – more than women - engage in unhealthy lifestyle practices that place them at greater risk of developing non-communicable disease. This paper aims to explore the prevalence, co-occurrence and clustering of four core lifestyle risk factors and examine the socio demographic variation of their distribution, among men living in two central London boroughs. Method: A stratified street survey was undertaken with N=859 men. Prevalence odds ratios calculated risk factor clustering and a multinomial logistic regression model examined the socio-demographic variation. Results: Over 72% of men presented with combinations of lifestyle risk factors. Physical inactivity combined with a lack of fruit and vegetables was the most common combination. Co-occurrence was more prominent for unemployed, widowed, divorced/separated and white British men. Clustering was evident for adherence and non-adherence to UK health recommendations. Conclusion: Men may benefit from targeted health interventions that address multiple – rather than single – health related behaviours.

  13. Metabolic syndrome and risk factors for non-alcoholic fatty liver disease

    Directory of Open Access Journals (Sweden)

    Mônica Rodrigues de Araújo Souza

    2012-03-01

    Full Text Available CONTEXT: Non-alcoholic fatty liver disease (NAFLD, hepatic manifestation of metabolic syndrome, has been considered the most common liver disease nowadays, which is also the most frequent cause of elevated transaminases and cryptogenic cirrhosis. The greatest input of fatty acids into the liver and consequent increased beta-oxidation contribute to the formation of free radicals, release of inflammatory cytokines and varying degrees of hepatocytic aggression, whose histological expression may vary from steatosis (HS to non-alcoholic steatohepatitis (NASH. The differentiation of these forms is required by the potential risk of progression to cirrhosis and development of hepatocellular carcinoma. OBJECTIVE: To review the literature about the major risk factors for NAFLD in the context of metabolic syndrome, focusing on underlying mechanisms and prevention. METHOD: PubMed, MEDLINE and SciELO data basis analysis was performed to identify studies describing the link between risk factors for metabolic syndrome and NAFLD. A combination of descriptors was used, non-alcoholic fatty liver disease, non-alcoholic steatohepatitis, metabolic syndrome and risk factors. At the end, 96 clinical and experimental studies, cohorts, meta-analysis and systematic reviews of great impact and scientific relevance to the topic, were selected. RESULTS: The final analysis of all these data, pointed out the central obesity, type 2 diabetes, dyslipidemia and hypertension as the best risk factors related to NAFLD. However, other factors were highlighted, such as gender differences, ethnicity, genetic factors and the role of innate immunity system. How these additional factors may be involved in the installation, progression and disease prognosis is discussed. CONCLUSION: Risk factors for NAFLD in the context of metabolic syndrome expands the prospects to 1 recognize patients with metabolic syndrome at high risk for NAFLD, 2 elucidate pathways common to other co-morbidities, 3

  14. Risks of Metabolic Syndrome in Students of the Faculty of Health Sciences

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    Ersin Öğüş

    2013-09-01

    Full Text Available Background: Metabolic syndrome is highly prevalent in the adult population worldwide. Education may play an important role in preventing metabolic syndrome in young adults, especially those who are attending university. Such adults are at a critical point in their lives and make their own lifestyle choices that can affect their future health. Aims: The aims of this study were to determine the metabolic syndrome risk levels of students from the Faculty of Health Sciences. Study Design: Survey design study. Methods: In a questionnaire developed by the researchers to collect data in accordance with the relevant literature, the scale of the risk of metabolic syndrome was assessed. A stepwise logistic regression analysis was performed to determine the risks. Results: Important risk factors for metabolic syndrome were found to be gender, weight gain, “stress eating” excessive amounts of food, sleeping for more than 8 hours a day, feeling tired after sleep, belonging to a divided family, and eating whilst working on the computer. Conclusion: The students from the Faculty of Health Sciences, particularly because they are trained in the health sector, are expected to have more information about the risk factors of metabolic syndrome, and take necessary precautions to prevent it.

  15. Cardiometabolic disease risk in metabolically healthy and unhealthy obesity: Stability of metabolic health status in adults.

    Science.gov (United States)

    Guo, Fangjian; Garvey, W Timothy

    2016-02-01

    To assess the stability of metabolic status and body mass index (BMI) status and their relative contribution to risk of diabetes, cardiovascular events, and mortality. A total of 14,685 participants from the Atherosclerosis Risk in Communities Study and 4,990 from the Coronary Artery Risk Development in Young Adults Study were included. People with healthy obesity (HO) are defined as those meeting all three indices of blood pressure, blood glucose, and blood lipids. People with unhealthy obesity crossed the risk threshold for all three criteria. In both healthy and unhealthy subgroups, risks for coronary heart disease (CHD), stroke, and mortality were comparable among BMI status during a mean 18.7-year follow-up. When compared with HO, hazard ratios were increased for diabetes (5.56, 95% confidence interval [CI] 4.12-7.48), CHD (5.60, 95% CI 3.14-9.98), stroke (4.84, 95% CI 2.13-10.97), and mortality (2.6, 95% CI 1.88-3.61) in people with unhealthy obesity. BMI only moderately increased the risks for diabetes among healthy subjects. In the Coronary Artery Risk Development in Young Adults Study over 20 years, 17.5% of lean subjects and 67.3% of overweight subjects at baseline developed obesity during follow-up. Despite rising BMI, metabolic status remained relatively stable. Metabolic status is relatively stable despite rising BMI. HO had lower risks for diabetes, CHD, stroke, and mortality than unhealthy subjects but increased diabetes risks than healthy lean people. Cardiometabolic risk factors confer much higher risk than obesity per se. © 2015 The Obesity Society.

  16. Metabolic risk factors in depressive and anxiety disorders

    NARCIS (Netherlands)

    Reedt Dortland, Arianne Klaartje Beraldine van

    2012-01-01

    The aim of this thesis was to clarify which aspects of depression and anxiety are related to an increased metabolic risk, and which factors contribute to these associations. Taken together, our findings indicate that people with more severe symptoms of depression and anxiety are at particular risk

  17. Metabolic syndrome among urban Indian young adults: prevalence and associated risk factors.

    Science.gov (United States)

    Manjunath, Dinaker; Uthappa, Chengapp Kechamada; Kattula, Sri Rama; Allam, Ramesh Reddy; Chava, Nalini; Oruganti, Ganesh

    2014-09-01

    We estimated the prevalence of metabolic syndrome among urban Indian young adults (18-25 years) as defined by the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), Internation Diabetes Federation (IDF), and Indian consensus statement criteria. We included 473 urban young adults through simple random sampling methodology to estimate the prevalence and associated risk factors for metabolic syndrome. Prevalence of metabolic syndrome was estimated to be 3.6 [95% confidence interval (CI) 2.2-5.8], 6.6% (95% CI 4.6-9.1), and 8.7% (95% CI 6.4-11.6) using the NCEP ATP III, IDF, and Indian consensus statement criteria, respectively. Men had significantly higher waist circumference, systolic blood pressure, fasting blood glucose, and triglycerides, whereas mean concentrations of both high-density lipoprotein cholesterol (HDL-C) and total cholesterol were significantly higher among women. Low HDL-C (38.9%), high blood pressure (26%), and central obesity (16.1%) were the most common component risk factors. Although less than 4% of normal weight adults met the criteria for metabolic syndrome, rates increased in overweight individuals and reached a prevalence of 87% in the obese participants. In all, 61.3% of the total population had one or more risk factors for metabolic syndrome. The prevalence of metabolic syndrome is high among urban young adults in India, and it increased with increase in body mass index (BMI). Each component risk factor in isolated form-increased BMI, smoking, and history of hypertension--is an associated risk factor for metabolic syndrome. Although it is unclear whether metabolic syndrome screening in young Indians as a means to prevent adverse cardiovascular health outcomes is appropriate, healthy lifestyles should nevertheless be encouraged, and young adults should be considered as an important group for cardiovascular risk reduction programs.

  18. Hypertension Is a Key Feature of the Metabolic Syndrome in Subjects Aging with HIV

    DEFF Research Database (Denmark)

    Martin-Iguacel, Raquel; Negredo, Eugènia; Peck, Robert

    2016-01-01

    to predispose to these metabolic complications and to the excess risk of CVD observed in the HIV population. The metabolic syndrome (MS) represents a clustering of RF for CVD that includes abdominal obesity, hypertension, dyslipidemia and insulin resistance. Hypertension is a prevalent feature of the MS in HIV...

  19. Visceral adiposity as a target for the management of the metabolic syndrome.

    Science.gov (United States)

    Kishida, Ken; Funahashi, Tohru; Matsuzawa, Yuji; Shimomura, Iichiro

    2012-05-01

    Atherosclerosis, the underlying cause of atherosclerotic cardiovascular disease (ACVD), develops due not only to a single cardiovascular risk factor but to a variety of complex factors. The concept of the multiple cardiometabolic risk factor clustering syndrome has been proposed as a highly atherogenic state, independent of hypercholesterolemia and smoking. Body fat distribution, especially visceral fat accumulation, is a major correlate of a cluster of diabetogenic, atherogenic, prothrombotic, and proinflammatory metabolic abnormalities referred to as the metabolic syndrome, with dysfunctional adipocytes and dysregulated production of adipocytokines (hypoadiponectinemia). Medical research has focused on visceral adiposity as an important component of the syndrome in Japanese subjects with a mild degree of adiposity compared with Western subjects. For the prevention of ACVD at least in Japan, it might be practical to stratify subjects with multiple risk factors for atherosclerotic cardiovascular disease based on visceral fat accumulation. Visceral fat reduction through health promotion programs using risk factor-oriented approaches may be effective in reducing ACVD events, as well as producing improvement in risks and hypoadiponectinemia. This review article discusses visceral adiposity as a key player in the syndrome. Visceral fat reduction with life-style modification is a potentially useful strategy in the prevention of ACVD in patients with the metabolic syndrome.

  20. Nonalcoholic Fatty Liver Disease: Prevalence, Influence on Age and Sex, and Relationship with Metabolic Syndrome and Insulin Resistance

    Directory of Open Access Journals (Sweden)

    Hui-Yun Cheng

    2013-12-01

    Conclusion: Fatty liver can be considered as the hepatic consequence of metabolic syndrome, specifically IR. There is a high prevalence of metabolic syndrome and fatty liver among the elderly population. Metabolic disorders are closely related to fatty liver; moreover, fatty liver appears to be a good predictor for the clustering of risk factors for metabolic syndrome.

  1. Seven to Eight Hours of Sleep a Night Is Associated with a Lower Prevalence of the Metabolic Syndrome and Reduced Overall Cardiometabolic Risk in Adults

    Science.gov (United States)

    Chaput, Jean-Philippe; McNeil, Jessica; Després, Jean-Pierre; Bouchard, Claude; Tremblay, Angelo

    2013-01-01

    Background Previous studies looking at the relationship between sleep duration and the metabolic syndrome have only used a dichotomous approach (presence/absence) and failed to adjust for important confounding factors. The objective of the present study was to examine the association between self-reported sleep duration and features of the metabolic syndrome in adults. Methods A cross-sectional analysis from the Quebec Family Study (Canada) was conducted on 810 participants aged 18 to 65 years. Participants were categorized as short (≤6 h), adequate (7–8 h) or long (≥9 h) sleepers. The metabolic syndrome was defined according to the American Heart Association/National Heart, Lung, and Blood Institute’s criteria. Results Overall, 24.6% of the sample had the metabolic syndrome. A U-shaped relationship between sleep duration and the prevalence of metabolic syndrome (33.3%, 22.0% and 28.8% in short, adequate and long sleepers, respectively) was observed (Pmetabolic syndrome (OR = 1.76, 95% CI = 1.08–2.84) compared to adequate sleepers after adjustment for age, sex, smoking habits, highest education level, total annual family income, alcohol consumption, coffee intake, menopausal status, daily caloric intake, and moderate-to-vigorous physical activity. Likewise, the clustered cardiometabolic risk score (i.e. continuous risk score based on the metabolic syndrome components) was significantly higher in short sleepers compared to adequate sleepers after adjustment for covariates (Pmetabolic syndrome after adjusting for possible confounders. These results strongly suggest that short sleep duration is a risk factor for the metabolic syndrome. PMID:24039808

  2. Improving cluster-based methods for investigating potential for insect pest species establishment: region-specific risk factors

    Directory of Open Access Journals (Sweden)

    Michael J. Watts

    2011-09-01

    Full Text Available Existing cluster-based methods for investigating insect species assemblages or profiles of a region to indicate the risk of new insect pest invasion have a major limitation in that they assign the same species risk factors to each region in a cluster. Clearly regions assigned to the same cluster have different degrees of similarity with respect to their species profile or assemblage. This study addresses this concern by applying weighting factors to the cluster elements used to calculate regional risk factors, thereby producing region-specific risk factors. Using a database of the global distribution of crop insect pest species, we found that we were able to produce highly differentiated region-specific risk factors for insect pests. We did this by weighting cluster elements by their Euclidean distance from the target region. Using this approach meant that risk weightings were derived that were more realistic, as they were specific to the pest profile or species assemblage of each region. This weighting method provides an improved tool for estimating the potential invasion risk posed by exotic species given that they have an opportunity to establish in a target region.

  3. Lipoprotein metabolism indicators improve cardiovascular risk prediction

    NARCIS (Netherlands)

    Schalkwijk, D.B. van; Graaf, A.A. de; Tsivtsivadze, E.; Parnell, L.D.; Werff-van der Vat, B.J.C. van der; Ommen, B. van; Greef, J. van der; Ordovás, J.M.

    2014-01-01

    Background: Cardiovascular disease risk increases when lipoprotein metabolism is dysfunctional. We have developed a computational model able to derive indicators of lipoprotein production, lipolysis, and uptake processes from a single lipoprotein profile measurement. This is the first study to

  4. Prevalence and risk factors of seizure clusters in adult patients with epilepsy.

    Science.gov (United States)

    Chen, Baibing; Choi, Hyunmi; Hirsch, Lawrence J; Katz, Austen; Legge, Alexander; Wong, Rebecca A; Jiang, Alfred; Kato, Kenneth; Buchsbaum, Richard; Detyniecki, Kamil

    2017-07-01

    In the current study, we explored the prevalence of physician-confirmed seizure clusters. We also investigated potential clinical factors associated with the occurrence of seizure clusters overall and by epilepsy type. We reviewed medical records of 4116 adult (≥16years old) outpatients with epilepsy at our centers for documentation of seizure clusters. Variables including patient demographics, epilepsy details, medical and psychiatric history, AED history, and epilepsy risk factors were then tested against history of seizure clusters. Patients were then divided into focal epilepsy, idiopathic generalized epilepsy (IGE), or symptomatic generalized epilepsy (SGE), and the same analysis was run. Overall, seizure clusters were independently associated with earlier age of seizure onset, symptomatic generalized epilepsy (SGE), central nervous system (CNS) infection, cortical dysplasia, status epilepticus, absence of 1-year seizure freedom, and having failed 2 or more AEDs (Pepilepsy (16.3%) and IGE (7.4%; all Pepilepsy type showed that absence of 1-year seizure freedom since starting treatment at one of our centers was associated with seizure clustering in patients across all 3 epilepsy types. In patients with SGE, clusters were associated with perinatal/congenital brain injury. In patients with focal epilepsy, clusters were associated with younger age of seizure onset, complex partial seizures, cortical dysplasia, status epilepticus, CNS infection, and having failed 2 or more AEDs. In patients with IGE, clusters were associated with presence of an aura. Only 43.5% of patients with seizure clusters were prescribed rescue medications. Patients with intractable epilepsy are at a higher risk of developing seizure clusters. Factors such as having SGE, CNS infection, cortical dysplasia, status epilepticus or an early seizure onset, can also independently increase one's chance of having seizure clusters. Copyright © 2017. Published by Elsevier B.V.

  5. Risk of the Metabolic Syndrome in Sexual Minority Women: Results from the ESTHER Study.

    Science.gov (United States)

    Kinsky, Suzanne; Stall, Ron; Hawk, Mary; Markovic, Nina

    2016-08-01

    Compared to heterosexuals, sexual minority women (SMW) have higher rates of the metabolic syndrome risk factors (e.g., obesity, smoking, heavy drinking, and depression). Yet, no published research has examined whether SMW have higher rates of the metabolic syndrome. The aim of this study is to describe the prevalence of the metabolic syndrome and its individual factors in a sample of heterosexuals and SMW, and identify whether SMW are at greater risk of having the metabolic syndrome. Data are from the Epidemiologic STudy of HEalth Risk in Women (ESTHER), a cross-sectional convenience sample of 479 SMW and 400 heterosexual women from Pittsburgh, Pennsylvania. Participants provided self-report questionnaire data, clinical data, and blood work. Compared to heterosexuals, SMW had higher mean waist circumference, fasting glucose, and systolic and diastolic blood pressure. Nearly one-quarter (24.3%) of SMW had the metabolic syndrome compared to 15.6% of heterosexual women (p = 0.002). After controlling for demographic and risk factors, SMW had a 44% higher risk of having the metabolic syndrome than heterosexuals (p = 0.031). To our knowledge, this is the first study to identify this health disparity in SMW. Future studies should explore differential risk of mortality and metabolic health between SMW and heterosexuals.

  6. Impact of statins in microalbuminuric subjects with the metabolic syndrome : a substudy of the PREVEND Intervention Trial

    NARCIS (Netherlands)

    Geluk, CA; Asselbergs, FW; Hillege, HL; Bakker, SJL; de Jong, PE; Zijlstra, F; van Gilst, WH

    Aims Microalbuminuria frequently clusters with the metabolic syndrome and may identify subjects at increased coronary risk. Statin treatment may reduce the incidence of major adverse cardiac events in subjects with the metabolic syndrome, but evidence is limited. We evaluated the impact of

  7. Risk perception of aquatic pollution originated from chemical industry clusters in the coastal area of Jiangsu province, China.

    Science.gov (United States)

    Yao, Hong; Liu, Bo; You, Zhen; Zhao, Li

    2018-02-01

    According to "the Layout Scheme of the Chemical Industry in Jiangsu Province From 2016 to 2030" and "the Development Planning in the Coastal Area of Jiangsu Province, China," several chemical industry clusters will be located in the coastal area of Jiangsu province, China, and the risk of surface water pollution will be inevitably higher in the densely populated region. To get to know the risk acceptance level of the residents near the clusters, public perception was analyzed from the five risk factors: the basic knowledge about the pollution, the negative effects on aquatic environment imposed by the clusters, the positive effects brought by the clusters, the trust of controlling aquatic pollution, and the acceptance of the clusters. Twenty-four statements were screened out to describe the five factors, and about 600 residents were covered in three typical clusters surveyed. On the whole, the youth showed a higher interest on the survey, and middle-aged people were likely to be more concerned about aquatic pollution incident. There was no significant difference on risk perception of the three clusters. The respondents investigated had good knowledge background on aquatic pollution and the residents identified with the benefits brought by the clusters. They were weak in risk awareness of pollution originated from the chemical enterprises' groups. Although the respondents regarded that chemical industry clusters did not expose all points of pollutants' generation to the public, they inclined to trust the administration agencies on controlling the pollution and welcome the construction of chemical clusters in their dwelling cities. Besides, risk perception showed obvious spatial distribution. The closer were the samples' sites to the clusters and the rivers receiving pollutants, the higher were the residents' perceived risk, benefit, and trust. However, there was no identical spatial difference on risk acceptance, which might be comprehensively influenced by various

  8. DESIGN AND PERFORMANCE OF A XENOBIOTIC METABOLISM DATABASE MANAGER FOR METABOLIC SIMULATOR ENHANCEMENT AND CHEMICAL RISK ANALYSIS

    Science.gov (United States)

    A major uncertainty that has long been recognized in evaluating chemical toxicity is accounting for metabolic activation of chemicals resulting in increased toxicity. In silico approaches to predict chemical metabolism and to subsequently screen and prioritize chemicals for risk ...

  9. Prevalence and Influencing Factors of Metabolic Syndrome Among Persons with Physical Disabilities.

    Science.gov (United States)

    Jeong, Jeonghee; Yu, Jungok

    2018-03-01

    Metabolic syndrome is an important cluster of coronary heart disease risk factors. However, it remains unclear to what extent metabolic syndrome is associated with demographic and potentially modifiable lifestyle factors among Korean persons with physical disabilities. This study aimed to determine the prevalence and influencing factors of metabolic syndrome among persons with physical disabilities using the Korean National Health Insurance Service-National Sample Cohort. The Adult Treatment Panel III criteria were used to define metabolic syndrome influencing factors and prevalence, which were evaluated in a representative sample from the 2013 Korean National Health Insurance Service-National Sample Cohort database. Characteristics were compared based on frequency using the χ 2 test. The associations between metabolic syndrome and its risk factors were estimated using logistic multivariable regression analysis. Metabolic syndrome was detected in 31.5% of the surveyed persons with physical disabilities. Female sex, age of ≥65 years, smoking, greater alcohol consumption, physical inactivity, higher body mass index, and a family history of diabetes were associated with increased risks of metabolic syndrome. The major risk factors for metabolic syndrome among persons with physical disabilities were obesity and older age. Performing physical activity was associated with a lower risk of metabolic syndrome. Therefore, we recommend using a continuous obesity management program and physical activity to prevent metabolic syndrome among persons with physical disabilities. Copyright © 2018. Published by Elsevier B.V.

  10. Comparison of cluster-based and source-attribution methods for estimating transmission risk using large HIV sequence databases.

    Science.gov (United States)

    Le Vu, Stéphane; Ratmann, Oliver; Delpech, Valerie; Brown, Alison E; Gill, O Noel; Tostevin, Anna; Fraser, Christophe; Volz, Erik M

    2018-06-01

    Phylogenetic clustering of HIV sequences from a random sample of patients can reveal epidemiological transmission patterns, but interpretation is hampered by limited theoretical support and statistical properties of clustering analysis remain poorly understood. Alternatively, source attribution methods allow fitting of HIV transmission models and thereby quantify aspects of disease transmission. A simulation study was conducted to assess error rates of clustering methods for detecting transmission risk factors. We modeled HIV epidemics among men having sex with men and generated phylogenies comparable to those that can be obtained from HIV surveillance data in the UK. Clustering and source attribution approaches were applied to evaluate their ability to identify patient attributes as transmission risk factors. We find that commonly used methods show a misleading association between cluster size or odds of clustering and covariates that are correlated with time since infection, regardless of their influence on transmission. Clustering methods usually have higher error rates and lower sensitivity than source attribution method for identifying transmission risk factors. But neither methods provide robust estimates of transmission risk ratios. Source attribution method can alleviate drawbacks from phylogenetic clustering but formal population genetic modeling may be required to estimate quantitative transmission risk factors. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

  11. Cardiovascular disease risk factor patterns and their implications for intervention strategies in Vietnam.

    Science.gov (United States)

    Nguyen, Quang Ngoc; Pham, Son Thai; Do, Loi Doan; Nguyen, Viet Lan; Wall, Stig; Weinehall, Lars; Bonita, Ruth; Byass, Peter

    2012-01-01

    Background. Data on cardiovascular disease risk factors (CVDRFs) in Vietnam are limited. This study explores the prevalence of each CVDRF and how they cluster to evaluate CVDRF burdens and potential prevention strategies. Methods. A cross-sectional survey in 2009 (2,130 adults) was done to collect data on behavioural CVDRF, anthropometry and blood pressure, lipidaemia profiles, and oral glucose tolerance tests. Four metabolic CVDRFs (hypertension, dyslipidaemia, diabetes, and obesity) and five behavioural CVDRFs (smoking, excessive alcohol intake, unhealthy diet, physical inactivity, and stress) were analysed to identify their prevalence, cluster patterns, and social predictors. Framingham scores were applied to estimate the global 10-year CVD risks and potential benefits of CVD prevention strategies. Results. The age-standardised prevalence of having at least 2/4 metabolic, 2/5 behavioural, or 4/9 major CVDRF was 28%, 27%, 13% in women and 32%, 62%, 34% in men. Within-individual clustering of metabolic factors was more common among older women and in urban areas. High overall CVD risk (≥20% over 10 years) identified 20% of men and 5% of women-especially at higher ages-who had coexisting CVDRF. Conclusion. Multiple CVDRFs were common in Vietnamese adults with different clustering patterns across sex/age groups. Tackling any single risk factor would not be efficient.

  12. Case-control geographic clustering for residential histories accounting for risk factors and covariates

    Science.gov (United States)

    2006-01-01

    Background Methods for analyzing space-time variation in risk in case-control studies typically ignore residential mobility. We develop an approach for analyzing case-control data for mobile individuals and apply it to study bladder cancer in 11 counties in southeastern Michigan. At this time data collection is incomplete and no inferences should be drawn – we analyze these data to demonstrate the novel methods. Global, local and focused clustering of residential histories for 219 cases and 437 controls is quantified using time-dependent nearest neighbor relationships. Business address histories for 268 industries that release known or suspected bladder cancer carcinogens are analyzed. A logistic model accounting for smoking, gender, age, race and education specifies the probability of being a case, and is incorporated into the cluster randomization procedures. Sensitivity of clustering to definition of the proximity metric is assessed for 1 to 75 k nearest neighbors. Results Global clustering is partly explained by the covariates but remains statistically significant at 12 of the 14 levels of k considered. After accounting for the covariates 26 Local clusters are found in Lapeer, Ingham, Oakland and Jackson counties, with the clusters in Ingham and Oakland counties appearing in 1950 and persisting to the present. Statistically significant focused clusters are found about the business address histories of 22 industries located in Oakland (19 clusters), Ingham (2) and Jackson (1) counties. Clusters in central and southeastern Oakland County appear in the 1930's and persist to the present day. Conclusion These methods provide a systematic approach for evaluating a series of increasingly realistic alternative hypotheses regarding the sources of excess risk. So long as selection of cases and controls is population-based and not geographically biased, these tools can provide insights into geographic risk factors that were not specifically assessed in the case

  13. Case-control geographic clustering for residential histories accounting for risk factors and covariates

    Directory of Open Access Journals (Sweden)

    Goovaerts Pierre

    2006-08-01

    Full Text Available Abstract Background Methods for analyzing space-time variation in risk in case-control studies typically ignore residential mobility. We develop an approach for analyzing case-control data for mobile individuals and apply it to study bladder cancer in 11 counties in southeastern Michigan. At this time data collection is incomplete and no inferences should be drawn – we analyze these data to demonstrate the novel methods. Global, local and focused clustering of residential histories for 219 cases and 437 controls is quantified using time-dependent nearest neighbor relationships. Business address histories for 268 industries that release known or suspected bladder cancer carcinogens are analyzed. A logistic model accounting for smoking, gender, age, race and education specifies the probability of being a case, and is incorporated into the cluster randomization procedures. Sensitivity of clustering to definition of the proximity metric is assessed for 1 to 75 k nearest neighbors. Results Global clustering is partly explained by the covariates but remains statistically significant at 12 of the 14 levels of k considered. After accounting for the covariates 26 Local clusters are found in Lapeer, Ingham, Oakland and Jackson counties, with the clusters in Ingham and Oakland counties appearing in 1950 and persisting to the present. Statistically significant focused clusters are found about the business address histories of 22 industries located in Oakland (19 clusters, Ingham (2 and Jackson (1 counties. Clusters in central and southeastern Oakland County appear in the 1930's and persist to the present day. Conclusion These methods provide a systematic approach for evaluating a series of increasingly realistic alternative hypotheses regarding the sources of excess risk. So long as selection of cases and controls is population-based and not geographically biased, these tools can provide insights into geographic risk factors that were not specifically

  14. Cardiovascular risk factor clustering and its association with fitness in nine-year-old rural Norwegian children

    DEFF Research Database (Denmark)

    Resaland, G K; Mamen, A; Boreham, C

    2010-01-01

    of those in the other quartiles. Finally, subjects were cross-tabulated into different fat-fit groups. For both sexes, the unfit and overweight/obese group had a significantly higher CVD risk factor score than the fit and normal weight group. Clustering of CVD risk factors was present in this group......This paper describes cardiovascular disease (CVD) risk factor levels in a population-representative sample of healthy, rural Norwegian children and examines the association between fitness and clustering of CVD risk factors. Final analyses included 111 boys and 116 girls (mean age 9.3 +/- 0.......3). To determine the degree of clustering, six CVD risk factors were selected: homeostasis model assessment score, waist circumference, triglycerides, systolic blood pressure, total cholesterol to high-density lipoprotein ratio and fitness (VO(2peak)). Clustering was observed in 9.9% of the boys and 13...

  15. Development of innovative methods for risk assessment in high-rise construction based on clustering of risk factors

    Science.gov (United States)

    Okolelova, Ella; Shibaeva, Marina; Shalnev, Oleg

    2018-03-01

    The article analyses risks in high-rise construction in terms of investment value with account of the maximum probable loss in case of risk event. The authors scrutinized the risks of high-rise construction in regions with various geographic, climatic and socio-economic conditions that may influence the project environment. Risk classification is presented in general terms, that includes aggregated characteristics of risks being common for many regions. Cluster analysis tools, that allow considering generalized groups of risk depending on their qualitative and quantitative features, were used in order to model the influence of the risk factors on the implementation of investment project. For convenience of further calculations, each type of risk is assigned a separate code with the number of the cluster and the subtype of risk. This approach and the coding of risk factors makes it possible to build a risk matrix, which greatly facilitates the task of determining the degree of impact of risks. The authors clarified and expanded the concept of the price risk, which is defined as the expected value of the event, 105 which extends the capabilities of the model, allows estimating an interval of the probability of occurrence and also using other probabilistic methods of calculation.

  16. The search for putative unifying genetic factors for components of the metabolic syndrome

    DEFF Research Database (Denmark)

    Sjögren, M; Lyssenko, V; Jonsson, Anna Elisabet

    2008-01-01

    The metabolic syndrome is a cluster of factors contributing to increased risk of cardiovascular disease and type 2 diabetes but unifying mechanisms have not been identified. Our aim was to study whether common variations in 17 genes previously associated with type 2 diabetes or components...... of the metabolic syndrome and variants in nine genes with inconsistent association with at least two components of the metabolic syndrome would also predict future development of components of the metabolic syndrome, individually or in combination....

  17. Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study

    Directory of Open Access Journals (Sweden)

    Merve Er Kara

    2018-04-01

    Full Text Available Supplier evaluation and selection is one of the most critical strategic decisions for developing a competitive and sustainable organization. Companies have to consider supplier related risks and threats in their purchasing decisions. In today’s competitive and risky business environment, it is very important to work with reliable suppliers. This study proposes a clustering based approach to group suppliers based on their risk profile. Suppliers of a company in the heavy-machinery sector are assessed based on 17 qualitative and quantitative risk types. The weights of the criteria are determined by using the Best-Worst method. Four factors are extracted by applying Factor Analysis to the supplier risk data. Then k-means clustering algorithm is applied to group core suppliers of the company based on the four risk factors. Three clusters are created with different risk exposure levels. The interpretation of the results provides insights for risk management actions and supplier development programs to mitigate supplier risk.

  18. Current imaging methods for evaluation of metabolic risk in pediatric patients

    International Nuclear Information System (INIS)

    Balev, B.; Lateva, M.; Popova, R.; Teneva, Ts.; Iotova, V.

    2013-01-01

    Full text: Introduction: The incidence of cardio - metabolic diseases increase in an increasingly early age is one of the challenges of the 21st century. This phenomenon is attributed largely of the obesity epidemic, it is particularly significant when the obesity occurs in childhood - obese children have a greater probability of developing cardiovascular disease and diabetes earlier. What you will learn: The significance of the obesity epidemic in childhood and metabolic risk increase; The compartment of adipose tissue and their role in maintaining metabolic balance and its breach; The importance of imaging methods in recent studies related to obesity and cardio - metabolic diseases in children; New imaging methods for proofing of pathological fat accumulation in other tissues and organs and their role in the study of metabolic disorders. Discussion: Various studies of pathology at obesity prove that obesity indicators are not sufficient for individualized assessment of cardio - metabolic risk. Only by imaging methods, information about the accumulated fat in metabolically more active visceral and ectopic adipose tissue depots has been obtained. The most common imaging techniques for analysis of body composition and adiposity in children - dual-energy X-ray absorptiometry (DXA), ultrasound , computed tomography ( CT) scan , magnetic resonance imaging ( MRI), magnetic resonance spectroscopy (MRS) will be presented. Conclusion: The imaging methods are widely used in the obesity and metabolic risk studies, as the trend is to be applied increasingly into practice. The results from Imaging studies affect not only to therapeutic approach, but also to the motivation of parents and patients to comply prescribed measures

  19. The metabolic vascular syndrome - guide to an individualized treatment.

    Science.gov (United States)

    Hanefeld, Markolf; Pistrosch, Frank; Bornstein, Stefan R; Birkenfeld, Andreas L

    2016-03-01

    In ancient Greek medicine the concept of a distinct syndrome (going together) was used to label 'a group of signs and symptoms' that occur together and 'characterize a particular abnormality and condition'. The (dys)metabolic syndrome is a common cluster of five pre-morbid metabolic-vascular risk factors or diseases associated with increased cardiovascular morbidity, fatty liver disease and risk of cancer. The risk for major complications such as cardiovascular diseases, NASH and some cancers develops along a continuum of risk factors into clinical diseases. Therefore we still include hyperglycemia, visceral obesity, dyslipidemia and hypertension as diagnostic traits in the definition according to the term 'deadly quartet'. From the beginning elevated blood pressure and hyperglycemia were core traits of the metabolic syndrome associated with endothelial dysfunction and increased risk of cardiovascular disease. Thus metabolic and vascular abnormalities are in extricable linked. Therefore it seems reasonable to extend the term to metabolic-vascular syndrome (MVS) to signal the clinical relevance and related risk of multimorbidity. This has important implications for integrated diagnostics and therapeutic approach. According to the definition of a syndrome the rapid global rise in the prevalence of all traits and comorbidities of the MVS is mainly caused by rapid changes in life-style and sociocultural transition resp. with over- and malnutrition, low physical activity and social stress as a common soil.

  20. Clustering of Major Cardiovascular Risk Factors and the Association with Unhealthy Lifestyles in the Chinese Adult Population.

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    Bixia Gao

    Full Text Available Previous studies indicated that lifestyle-related cardiovascular risk factors tend to be clustered in certain individuals. However, population-based studies, especially from developing countries with substantial economic heterogeneity, are extremely limited. Our study provides updated data on the clustering of cardiovascular risk factors, as well as the impact of lifestyle on those factors in China.A representative sample of adult population in China was obtained using a multistage, stratified sampling method. We investigated the clustering of four cardiovascular disease (CVD risk factors (defined as two or more of the following: hypertension, diabetes, dyslipidemia and overweight and their association with unhealthy lifestyles (habitual drinking, physical inactivity, chronic use of non-steroidal anti-inflammatory drugs (NSAIDs and a low modified Dietary Approaches to Stop Hypertension (DASH score.Among the 46,683 participants enrolled in this study, only 31.1% were free of any pre-defined CVD risk factor. A total of 20,292 subjects had clustering of CVD risk factors, and 83.5% of them were younger than 65 years old. The adjusted prevalence of CVD risk factor clustering was 36.2%, and the prevalence was higher among males than among females (37.9% vs. 34.5%. Habitual drinking, physical inactivity, and chronic use of NSAIDs were positively associated with the clustering of CVD risk factors, with ORs of 1.60 (95% confidence interval [CI] 1.40 to1.85, 1.20 (95%CI 1.11 to 1.30 and 2.17 (95%CI 1.84 to 2.55, respectively. The modified DASH score was inversely associated with the clustering of CVD risk factors, with an OR of 0.73 (95%CI 0.67 to 0.78 for those with modified DASH scores in the top tertile. The lifestyle risk factors were more prominent among participants with low socioeconomic status.Clustering of CVD risk factors was common in China. Lifestyle modification might be an effective strategy to control CVD risk factors.

  1. Tracking of clustered cardiovascular disease risk factors from childhood to adolescence

    DEFF Research Database (Denmark)

    Bugge, Anna; El-Naaman, Bianca; McMurray, Robert G

    2013-01-01

    samples were analyzed for CVD risk factors. A clustered risk-score (z-score) was constructed by adding sex-specific z-scores for blood pressure, homeostatic model assessment (HOMA-IR), triglyceride, skinfolds and negative values of high-density lipoprotein cholesterol (HDLc) and VO(2peak...

  2. Time-dependent risks of cancer clustering among couples: a nationwide population-based cohort study in Taiwan.

    Science.gov (United States)

    Wang, Jong-Yi; Liang, Yia-Wen; Yeh, Chun-Chen; Liu, Chiu-Shong; Wang, Chen-Yu

    2018-02-21

    Spousal clustering of cancer warrants attention. Whether the common environment or high-age vulnerability determines cancer clustering is unclear. The risk of clustering in couples versus non-couples is undetermined. The time to cancer clustering after the first cancer diagnosis is yet to be reported. This study investigated cancer clustering over time among couples by using nationwide data. A cohort of 5643 married couples in the 2002-2013 Taiwan National Health Insurance Research Database was identified and randomly matched with 5643 non-couple pairs through dual propensity score matching. Factors associated with clustering (both spouses with tumours) were analysed by using the Cox proportional hazard model. Propensity-matched analysis revealed that the risk of clustering of all tumours among couples (13.70%) was significantly higher than that among non-couples (11.84%) (OR=1.182, 95% CI 1.058 to 1.321, P=0.0031). The median time to clustering of all tumours and of malignant tumours was 2.92 and 2.32 years, respectively. Risk characteristics associated with clustering included high age and comorbidity. Shared environmental factors among spouses might be linked to a high incidence of cancer clustering. Cancer incidence in one spouse may signal cancer vulnerability in the other spouse. Promoting family-oriented cancer care in vulnerable families and preventing shared lifestyle risk factors for cancer are suggested. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  3. Impact of Weight Regain on Metabolic Disease Risk: A Review of Human Trials

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    Cynthia M. Kroeger

    2014-01-01

    Full Text Available Dietary restriction interventions are effective for weight loss and reduction of chronic disease risk. Unfortunately, most people tend to regain much of this lost weight within one year after intervention. While some studies suggest that minor degrees of weight regain have no effect on metabolic disease risk parameters, other studies demonstrate a complete reversal in metabolic benefits. In light of these conflicting findings, it is of interest to determine how complete weight maintenance versus mild weight regain affects key risk parameters. These findings would have important clinical implications, as they could help identify a weight regain threshold that could preserve the metabolic benefits of weight loss. Accordingly, this review examined the impact of no weight regain versus mild regain on various metabolic disease risk parameters, including plasma lipids, blood pressure, glucose, and insulin concentrations, in adult subjects.

  4. Prevalence and Influencing Factors of Metabolic Syndrome Among Persons with Physical Disabilities

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    Jeonghee Jeong, RN, PhD

    2018-03-01

    Full Text Available Purpose: Metabolic syndrome is an important cluster of coronary heart disease risk factors. However, it remains unclear to what extent metabolic syndrome is associated with demographic and potentially modifiable lifestyle factors among Korean persons with physical disabilities. This study aimed to determine the prevalence and influencing factors of metabolic syndrome among persons with physical disabilities using the Korean National Health Insurance Service–National Sample Cohort. Methods: The Adult Treatment Panel III criteria were used to define metabolic syndrome influencing factors and prevalence, which were evaluated in a representative sample from the 2013 Korean National Health Insurance Service–National Sample Cohort database. Characteristics were compared based on frequency using the χ2 test. The associations between metabolic syndrome and its risk factors were estimated using logistic multivariable regression analysis. Results: Metabolic syndrome was detected in 31.5% of the surveyed persons with physical disabilities. Female sex, age of ≥65 years, smoking, greater alcohol consumption, physical inactivity, higher body mass index, and a family history of diabetes were associated with increased risks of metabolic syndrome. Conclusion: The major risk factors for metabolic syndrome among persons with physical disabilities were obesity and older age. Performing physical activity was associated with a lower risk of metabolic syndrome. Therefore, we recommend using a continuous obesity management program and physical activity to prevent metabolic syndrome among persons with physical disabilities. Keywords: disabled persons, metabolic syndrome X, physical activity, obesity

  5. A central role of eNOS in the protective effect of wine against metabolic syndrome.

    Science.gov (United States)

    Leighton, Federico; Miranda-Rottmann, Soledad; Urquiaga, Inés

    2006-01-01

    The positive health effects derived from moderate wine consumption are pleiotropic. They appear as improvements in cardiovascular risk factors such as plasma lipids, haemostatic mechanisms, endothelial function and antioxidant defences. The active principles would be ethanol and mainly polyphenols. Results from our and other laboratories support the unifying hypothesis that the improvements in risk factors after red wine consumption are mediated by endothelial nitric oxide synthase (eNOS). Many genes are involved, but the participation of eNOS would be a constant feature. The metabolic syndrome is a cluster of metabolic risk factors associated with high risk of cardiovascular disease (CVD). The National Cholesterol Education Programmmes Adult Treatment Panel III (NCEPATP III) clinical definition of the metabolic syndrome requires the presence of at least three risk factors, from among abdominal obesity, high plasma triacylglycerols, low plasma HDL, high blood pressure and high fasting plasma glucose. The molecular mechanisms responsible for the metabolic syndrome are not known. Since metabolic syndrome apparently affects 10-30% of the population in the world, research on its pathogenesis and control is needed. The recent finding that eNOS knockout mice present a cluster of cardiovascular risk factors comparable to those of the metabolic syndrome suggests that defects in eNOS function may cause human metabolic syndrome. These mice are hypertensive, insulin resistant and dyslipidemic. Further support for a pathogenic role of eNOS comes from the finding in humans that eNOS polymorphisms associate with insulin resistance and diabetes, with hypertension, with inflammatory and oxidative stress markers and with albuminuria. So, the data sustain the hypothesis that eNOS enhancement should reduce metabolic syndrome incidence and its consequences. Therefore red wine, since it enhances eNOS function, should be considered as a potential tool for the control of metabolic

  6. Behavioral Health Risk Profiles of Undergraduate University Students in England, Wales, and Northern Ireland: A Cluster Analysis.

    Science.gov (United States)

    El Ansari, Walid; Ssewanyana, Derrick; Stock, Christiane

    2018-01-01

    Limited research has explored clustering of lifestyle behavioral risk factors (BRFs) among university students. This study aimed to explore clustering of BRFs, composition of clusters, and the association of the clusters with self-rated health and perceived academic performance. We assessed (BRFs), namely tobacco smoking, physical inactivity, alcohol consumption, illicit drug use, unhealthy nutrition, and inadequate sleep, using a self-administered general Student Health Survey among 3,706 undergraduates at seven UK universities. A two-step cluster analysis generated: Cluster 1 (the high physically active and health conscious) with very high health awareness/consciousness, good nutrition, and physical activity (PA), and relatively low alcohol, tobacco, and other drug (ATOD) use. Cluster 2 (the abstinent) had very low ATOD use, high health awareness, good nutrition, and medium high PA. Cluster 3 (the moderately health conscious) included the highest regard for healthy eating, second highest fruit/vegetable consumption, and moderately high ATOD use. Cluster 4 (the risk taking) showed the highest ATOD use, were the least health conscious, least fruit consuming, and attached the least importance on eating healthy. Compared to the healthy cluster (Cluster 1), students in other clusters had lower self-rated health, and particularly, students in the risk taking cluster (Cluster 4) reported lower academic performance. These associations were stronger for men than for women. Of the four clusters, Cluster 4 had the youngest students. Our results suggested that prevention among university students should address multiple BRFs simultaneously, with particular focus on the younger students.

  7. Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

    Directory of Open Access Journals (Sweden)

    Hui Chen

    2014-01-01

    Full Text Available Metabolic syndrome is worldwide public health problem and is a serious threat to people's health and lives. Understanding the relationship between metabolic syndrome and the physical symptoms is a difficult and challenging task, and few studies have been performed in this field. It is important to classify adults who are at high risk of metabolic syndrome without having to use a biochemical index and, likewise, it is important to develop technology that has a high economic rate of return to simplify the complexity of this detection. In this paper, an artificial intelligence model was developed to identify adults at risk of metabolic syndrome based on physical signs; this artificial intelligence model achieved more powerful capacity for classification compared to the PCLR (principal component logistic regression model. A case study was performed based on the physical signs data, without using a biochemical index, that was collected from the staff of Lanzhou Grid Company in Gansu province of China. The results show that the developed artificial intelligence model is an effective classification system for identifying individuals at high risk of metabolic syndrome.

  8. Iron in Child Obesity. Relationships with Inflammation and Metabolic Risk Factors

    Directory of Open Access Journals (Sweden)

    Dominique Bouglé

    2013-06-01

    Full Text Available Iron (Fe sequestration is described in overweight and in its associated metabolic complications, i.e., metabolic syndrome (MetS and non-alcoholic liver fatty disease (NAFLD; however, the interactions between Fe, obesity and inflammation make it difficult to recognize the specific role of each of them in the risk of obesity-induced metabolic diseases. Even the usual surrogate marker of Fe stores, ferritin, is influenced by inflammation; therefore, in obese subjects inflammation parameters must be measured together with those of Fe metabolism. This cross-sectional study in obese youth (502 patients; 57% girls: 11.4 ± 3.0 years old (x ± SD; BMI z score 5.5 ± 2.3, multivariate regression analysis showed associations between Fe storage assessed by serum ferritin with risk factors for MetS and NAFLD, assessed by transaminase levels, which were independent of overweight and the acute phase protein fibrinogen. Further studies incorporating the measurement of complementary parameters of Fe metabolism could improve the comprehension of mechanisms involved.

  9. Cardiovascular Disease Risk Factor Patterns and Their Implications for Intervention Strategies in Vietnam

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    Quang Ngoc Nguyen

    2012-01-01

    Methods. A cross-sectional survey in 2009 (2,130 adults was done to collect data on behavioural CVDRF, anthropometry and blood pressure, lipidaemia profiles, and oral glucose tolerance tests. Four metabolic CVDRFs (hypertension, dyslipidaemia, diabetes, and obesity and five behavioural CVDRFs (smoking, excessive alcohol intake, unhealthy diet, physical inactivity, and stress were analysed to identify their prevalence, cluster patterns, and social predictors. Framingham scores were applied to estimate the global 10-year CVD risks and potential benefits of CVD prevention strategies. Results. The age-standardised prevalence of having at least 2/4 metabolic, 2/5 behavioural, or 4/9 major CVDRF was 28%, 27%, 13% in women and 32%, 62%, 34% in men. Within-individual clustering of metabolic factors was more common among older women and in urban areas. High overall CVD risk (≥20% over 10 years identified 20% of men and 5% of women—especially at higher ages—who had coexisting CVDRF. Conclusion. Multiple CVDRFs were common in Vietnamese adults with different clustering patterns across sex/age groups. Tackling any single risk factor would not be efficient.

  10. Internal validation of risk models in clustered data: a comparison of bootstrap schemes

    NARCIS (Netherlands)

    Bouwmeester, W.; Moons, K.G.M.; Kappen, T.H.; van Klei, W.A.; Twisk, J.W.R.; Eijkemans, M.J.C.; Vergouwe, Y.

    2013-01-01

    Internal validity of a risk model can be studied efficiently with bootstrapping to assess possible optimism in model performance. Assumptions of the regular bootstrap are violated when the development data are clustered. We compared alternative resampling schemes in clustered data for the estimation

  11. Coordinated and interactive expression of genes of lipid metabolism and inflammation in adipose tissue and liver during metabolic overload.

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    Wen Liang

    Full Text Available BACKGROUND: Chronic metabolic overload results in lipid accumulation and subsequent inflammation in white adipose tissue (WAT, often accompanied by non-alcoholic fatty liver disease (NAFLD. In response to metabolic overload, the expression of genes involved in lipid metabolism and inflammatory processes is adapted. However, it still remains unknown how these adaptations in gene expression in expanding WAT and liver are orchestrated and whether they are interrelated. METHODOLOGY/PRINCIPAL FINDINGS: ApoE*3Leiden mice were fed HFD or chow for different periods up to 12 weeks. Gene expression in WAT and liver over time was evaluated by micro-array analysis. WAT hypertrophy and inflammation were analyzed histologically. Bayesian hierarchical cluster analysis of dynamic WAT gene expression identified groups of genes ('clusters' with comparable expression patterns over time. HFD evoked an immediate response of five clusters of 'lipid metabolism' genes in WAT, which did not further change thereafter. At a later time point (>6 weeks, inflammatory clusters were induced. Promoter analysis of clustered genes resulted in specific key regulators which may orchestrate the metabolic and inflammatory responses in WAT. Some master regulators played a dual role in control of metabolism and inflammation. When WAT inflammation developed (>6 weeks, genes of lipid metabolism and inflammation were also affected in corresponding livers. These hepatic gene expression changes and the underlying transcriptional responses in particular, were remarkably similar to those detected in WAT. CONCLUSION: In WAT, metabolic overload induced an immediate, stable response on clusters of lipid metabolism genes and induced inflammatory genes later in time. Both processes may be controlled and interlinked by specific transcriptional regulators. When WAT inflammation began, the hepatic response to HFD resembled that in WAT. In all, WAT and liver respond to metabolic overload by

  12. Selenium Homeostasis and Clustering of Cardiovascular Risk Factors: A Systematic Review.

    Science.gov (United States)

    Gharipour, Mojgan; Sadeghi, Masoumeh; Behmanesh, Mehrdad; Salehi, Mansour; Nezafati, Pouya; Gharpour, Amin

    2017-10-23

      Selenium is a trace element required for a range of cellular functions. It is widely used for the biosynthesis of the unique amino acid selenocysteine [Sec], which is a structural element of selenoproteins. This systematic review focused on the possible relation between selenium and metabolic risk factors. The literature was searched via PubMed, Scopus, ISI Web of Science, and Google Scholar. Searches were not restricted by time or language. Relevant studies were selected in three phases. After an initial quality assessment, two reviewers extracted all the relevant data, whereas the third reviewer checked their extracted data. All evidence came from experimental and laboratory studies. Selenoprotein P is the best indicator for selenium nutritional levels. In addition, high levels of selenium may increase the risk of metabolic syndrome while the lack of sufficient selenium may also promote metabolic syndrome. selenium supplementation in subjects with sufficient serum selenium levels has a contrary effect on blood pressure, LDL, and total cholesterol. According to the bioavailability of different types of selenium supplementation such as selenomethionine, selenite and selenium-yeast, it seems that the best nutritional type of selenium is selenium-yeast. Regarding obtained results of longitudinal studies and randomized controlled trials, selenium supplementation should not be recommended for primary or secondary cardio-metabolic risk prevention in populations with adequate selenium status.

  13. Prevalence of metabolic syndrome among an urban population in Kenya.

    Science.gov (United States)

    Kaduka, Lydia U; Kombe, Yeri; Kenya, Eucharia; Kuria, Elizabeth; Bore, John K; Bukania, Zipporah N; Mwangi, Moses

    2012-04-01

    Developing countries are undergoing an epidemiologic transition accompanied by increasing burden of cardiovascular disease (CVD) linked to urbanization and lifestyle modifications. Metabolic syndrome is a cluster of CVD risk factors whose extent in Kenya remains unknown. The aim of this study was to determine the prevalence of metabolic syndrome and factors associated with its occurrence among an urban population in Kenya. This was a household cross-sectional survey comprising 539 adults (aged ≥18 years) living in Nairobi, drawn from 30 clusters across five socioeconomic classes. Measurements included waist circumference, HDL cholesterol, triacylglycerides (TAGs), fasting glucose, and blood pressure. The prevalence of metabolic syndrome was 34.6% and was higher in women than in men (40.2 vs. 29%; P Kenya. The Kenyan government needs to create awareness, develop prevention strategies, and strengthen the health care system to accommodate screening and management of CVDs.

  14. Behavioral Health Risk Profiles of Undergraduate University Students in England, Wales, and Northern Ireland: A Cluster Analysis

    Directory of Open Access Journals (Sweden)

    Walid El Ansari

    2018-05-01

    Full Text Available BackgroundLimited research has explored clustering of lifestyle behavioral risk factors (BRFs among university students. This study aimed to explore clustering of BRFs, composition of clusters, and the association of the clusters with self-rated health and perceived academic performance.MethodWe assessed (BRFs, namely tobacco smoking, physical inactivity, alcohol consumption, illicit drug use, unhealthy nutrition, and inadequate sleep, using a self-administered general Student Health Survey among 3,706 undergraduates at seven UK universities.ResultsA two-step cluster analysis generated: Cluster 1 (the high physically active and health conscious with very high health awareness/consciousness, good nutrition, and physical activity (PA, and relatively low alcohol, tobacco, and other drug (ATOD use. Cluster 2 (the abstinent had very low ATOD use, high health awareness, good nutrition, and medium high PA. Cluster 3 (the moderately health conscious included the highest regard for healthy eating, second highest fruit/vegetable consumption, and moderately high ATOD use. Cluster 4 (the risk taking showed the highest ATOD use, were the least health conscious, least fruit consuming, and attached the least importance on eating healthy. Compared to the healthy cluster (Cluster 1, students in other clusters had lower self-rated health, and particularly, students in the risk taking cluster (Cluster 4 reported lower academic performance. These associations were stronger for men than for women. Of the four clusters, Cluster 4 had the youngest students.ConclusionOur results suggested that prevention among university students should address multiple BRFs simultaneously, with particular focus on the younger students.

  15. Victims of Chinese famine in early life have increased risk of metabolic syndrome in adulthood.

    Science.gov (United States)

    Yu, Caizheng; Wang, Jing; Wang, Fei; Han, Xu; Hu, Hua; Yuan, Jing; Miao, Xiaoping; Yao, Ping; Wei, Sheng; Wang, Youjie; Liang, Yuan; Zhang, Xiaomin; Guo, Huan; Pan, An; Zheng, Dan; Tang, Yuhan; Yang, Handong; Wu, Tangchun; He, Meian

    2018-02-05

    To investigate the association of exposure to the Chinese famine during early life with metabolic syndrome risk in adults. There were 7,915 participants from Dongfeng-Tongji cohort were included in the present study. Participants were classified as non-exposed group, fetal exposed group, early childhood-, mid childhood-, and late childhood-exposed groups, respectively. Metabolic syndrome was defined according to International Diabetes Foundation criteria (2005). Logistic regression model was used to explore the association between famine exposure in early life and metabolic syndrome risk in adults. The metabolic syndrome prevalence in non-, fetal-, early childhood-, mid childhood-, and late childhood- exposed groups were 25.2%, 26.9%, 30.3%, 32.7%, and 32.7%, respectively. Compared with non-exposed group, participants exposed to famine in the fetal (0.96, 95% CI: 0.77-1.20), early childhood (1.24, 95% CI: 1.01-1.52), mid childhood (1.39, 95% CI: 1.13-1.72), and late childhood (1.33, 95% CI: 1.08-1.63) had higher metabolic syndrome prevalence risk in adults after adjustment for potential confounders (P for trend metabolic syndrome prevalence risk than non-exposed women (P for trend metabolic syndrome prevalence risk (P for interaction = 0.0001). Results in the present study indicated that exposure to famine in early life increases the risk of metabolic syndrome in adulthood, particularly in women. Copyright © 2018 Elsevier Inc. All rights reserved.

  16. Clustering of metabolic and cardiovascular risk factors in the polycystic ovary syndrome: a principal component analysis.

    Science.gov (United States)

    Stuckey, Bronwyn G A; Opie, Nicole; Cussons, Andrea J; Watts, Gerald F; Burke, Valerie

    2014-08-01

    Polycystic ovary syndrome (PCOS) is a prevalent condition with heterogeneity of clinical features and cardiovascular risk factors that implies multiple aetiological factors and possible outcomes. To reduce a set of correlated variables to a smaller number of uncorrelated and interpretable factors that may delineate subgroups within PCOS or suggest pathogenetic mechanisms. We used principal component analysis (PCA) to examine the endocrine and cardiometabolic variables associated with PCOS defined by the National Institutes of Health (NIH) criteria. Data were retrieved from the database of a single clinical endocrinologist. We included women with PCOS (N = 378) who were not taking the oral contraceptive pill or other sex hormones, lipid lowering medication, metformin or other medication that could influence the variables of interest. PCA was performed retaining those factors with eigenvalues of at least 1.0. Varimax rotation was used to produce interpretable factors. We identified three principal components. In component 1, the dominant variables were homeostatic model assessment (HOMA) index, body mass index (BMI), high density lipoprotein (HDL) cholesterol and sex hormone binding globulin (SHBG); in component 2, systolic blood pressure, low density lipoprotein (LDL) cholesterol and triglycerides; in component 3, total testosterone and LH/FSH ratio. These components explained 37%, 13% and 11% of the variance in the PCOS cohort respectively. Multiple correlated variables from patients with PCOS can be reduced to three uncorrelated components characterised by insulin resistance, dyslipidaemia/hypertension or hyperandrogenaemia. Clustering of risk factors is consistent with different pathogenetic pathways within PCOS and/or differing cardiometabolic outcomes. Copyright © 2014 Elsevier Inc. All rights reserved.

  17. Correlation of plasma B-type natriuretic peptide levels with metabolic risk markers.

    Science.gov (United States)

    Ahued-Ortega, José Armando; León-García, Plácido Enrique; Hernández-Pérez, Elizabeth

    2018-04-17

    Natriuretic peptide type B (BNP) is a marker of myocardium injury. This peptide has been associated with metabolic risk markers, although controversy exists in this regard. The aim of the present study was to determine the correlation of plasma BNP levels with metabolic risk parameters. A retrospective, observational study that included 152 patients, who were classified according to their clinical diagnosis as patients with metabolic syndrome. Plasma BNP levels and clinical metabolic parameters were assessed by using Spearmańs rank correlation coefficient. A significant inverse association with weight (r=-.408; p<.0001) and BMI (r=-.443; p<.001) was obtained. While a positive significant association with systolic pressure (r=.324; p<.001) was observed. A significant decrease was found in BNP levels and components of metabolic syndrome. (p<.05). Based on the results from this study, we can conclude that BNP determination could be an adequate metabolic marker. Copyright © 2018 Elsevier España, S.L.U. All rights reserved.

  18. Risk factors for metabolic syndrome after liver transplantation

    DEFF Research Database (Denmark)

    Thoefner, Line Buch; Rostved, Andreas Arendtsen; Pommergaard, Hans-Christian

    2018-01-01

    syndrome after liver transplantation. METHODS: The databases Medline and Scopus were searched for observational studies evaluating prevalence and risk factors for metabolic syndrome after liver transplantation. Meta-analyses were performed based on odds ratios (ORs) from multivariable analyses...

  19. Diabetes risk among overweight and obese metabolically healthy young adults.

    Science.gov (United States)

    Twig, Gilad; Afek, Arnon; Derazne, Estela; Tzur, Dorit; Cukierman-Yaffe, Tali; Gerstein, Hertzel C; Tirosh, Amir

    2014-11-01

    To determine diabetes incidence over time among obese young adults without metabolic risk factors. Incident diabetes during a median follow-up of 6.1 years was assessed among 33,939 young men (mean age 30.9 ± 5.2 years) of the Metabolic, Lifestyle and Nutrition Assessment in Young Adults cohort who were stratified for BMI and the number of metabolic abnormalities (based on the Adult Treatment Panel-III). Metabolically healthy (MH) obesity was defined as BMI ≥30 kg/m2 in the presence of normoglycemia, normal blood pressure, and normal levels of fasting triglyceride and HDL-cholesterol levels (n = 631). A total of 734 new cases of diabetes were diagnosed during 210,282 person-years of follow-up. The incidence rate of diabetes among participants with no metabolic risk factors was 1.15, 2.10, and 4.34 cases per 1,000 person-years among lean, overweight, and obese participants, respectively. In a multivariable model adjusted for age, region of origin, family history of diabetes, physical activity, fasting plasma glucose, triglyceride level, HDL-cholesterol, systolic blood pressure, and white blood cell count, a higher diabetes risk was observed among MH-overweight (hazard ratio [HR] 1.89 [95% CI 1.25-2.86]; P young adults from incident diabetes associated with overweight and obesity. © 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

  20. Directed clustering coefficient as a measure of systemic risk in complex banking networks

    Science.gov (United States)

    Tabak, Benjamin M.; Takami, Marcelo; Rocha, Jadson M. C.; Cajueiro, Daniel O.; Souza, Sergio R. S.

    2014-01-01

    Recent literature has focused on the study of systemic risk in complex networks. It is clear now, after the crisis of 2008, that the aggregate behavior of the interaction among agents is not straightforward and it is very difficult to predict. Contributing to this debate, this paper shows that the directed clustering coefficient may be used as a measure of systemic risk in complex networks. Furthermore, using data from the Brazilian interbank network, we show that the directed clustering coefficient is negatively correlated with domestic interest rates.

  1. Fitness, fatness and clustering of cardiovascular risk factors in children from Denmark, Estonia and Portugal

    DEFF Research Database (Denmark)

    Andersen, Lars B; Sardinha, Luis B; Froberg, Karsten

    2008-01-01

    BACKGROUND: Levels of overweight have increased and fitness has decreased in children. Potentially, these changes may be a threat to future health. Numerous studies have measured changes in body mass index (BMI), but few have assessed the independent effects of low fitness, overweight and physical...... inactivity on cardiovascular (CVD) risk factors. METHODS: A cross-sectional multi-center study including 1 769 children from Denmark, Estonia and Portugal. The main outcome was clustering of CVD risk factors. Independent variables were waist circumference, skinfolds, physical activity and cardio......-respiratory fitness. RESULTS: Both waist circumference and skinfolds were associated with clustered CVD risk. Odds ratios for clustered CVD risk for the upper quartiles compared with the lowest quartile were 9.13 (95% CI: 5.78-14.43) and 11.62 (95% CI: 7.11-18.99) when systolic blood pressure, triglyceride, insulin...

  2. Metabolic complications associated with HIV protease inhibitor therapy.

    Science.gov (United States)

    Nolan, David

    2003-01-01

    HIV protease inhibitors were introduced into clinical practice over 7 years ago as an important component of combination antiretroviral drug regimens which in many ways revolutionised the treatment of HIV infection. The significant improvements in prognosis that have resulted from the use of these regimens, combined with the need for lifelong treatment, have increasingly focused attention on the adverse effects of antiretroviral drugs and on the metabolic complications of HIV protease inhibitors in particular. In this review, the cluster of metabolic abnormalities characterised by triglyceride-rich dyslipidaemia and insulin resistance associated with HIV protease inhibitor therapy are considered, along with implications for cardiovascular risk in patients affected by these complications. Toxicity profiles of individual drugs within the HIV protease inhibitor class are examined, as there is an increased recognition of significant intra-class differences both in terms of absolute risk of metabolic complications as well as the particular metabolic phenotype associated with these drugs. Guidelines for clinical assessment and treatment are emphasised, along with pathophysiological mechanisms that may provide a rational basis for the treatment of metabolic complications. Finally, these drug-specific effects are considered within the context of HIV-specific effects on lipid metabolism as well as lifestyle factors that have contributed to a rapidly increasing incidence of similar metabolic syndromes in the general population. These data highlight the importance of individualising patient management in terms of choice of antiretroviral regimen, assessment of metabolic outcomes and use of therapeutic interventions, based on the assessment of baseline (pre-treatment) metabolic status as well as the presence of potentially modifiable cardiovascular risk factors.

  3. Genetic Determinants of Cardio-Metabolic Risk: A Proposed Model for Phenotype Association and Interaction

    Science.gov (United States)

    Blackett, Piers R; Sanghera, Dharambir K

    2012-01-01

    This review provides a translational and unifying summary of metabolic syndrome genetics and highlights evidence that genetic studies are starting to unravel and untangle origins of the complex and challenging cluster of disease phenotypes. The associated genes effectively express in the brain, liver, kidney, arterial endothelium, adipocytes, myocytes and β cells. Progression of syndrome traits has been associated with ectopic lipid accumulation in the arterial wall, visceral adipocytes, myocytes, and liver. Thus it follows that the genetics of dyslipidemia, obesity, and non-alcoholic fatty liver (NAFLD) disease are central in triggering progression of the syndrome to overt expression of disease traits, and have become a key focus of interest for early detection and for designing prevention and treatments. To support the “birds’ eye view” approach we provide a road-map depicting commonality and interrelationships between the traits and their genetic and environmental determinants based on known risk factors, metabolic pathways, pharmacological targets, treatment responses, gene networks, pleiotropy, and association with circadian rhythm. Although only a small portion of the known heritability is accounted for and there is insufficient support for clinical application of gene-based prediction models, there is direction and encouraging progress in a rapidly moving field that is beginning to show clinical relevance. PMID:23351585

  4. Race and ethnicity, obesity, metabolic health, and risk of cardiovascular disease in postmenopausal women

    DEFF Research Database (Denmark)

    Schmiegelow, Michelle D; Hedlin, Haley; Mackey, Rachel H

    2015-01-01

    BACKGROUND: It is unclear whether obesity unaccompanied by metabolic abnormalities is associated with increased cardiovascular disease risk across racial and ethnic subgroups. METHODS AND RESULTS: We identified 14 364 postmenopausal women from the Women's Health Initiative who had data on fasting...... serum lipids and serum glucose and no history of cardiovascular disease or diabetes at baseline. We categorized women by body mass index (in kg/m(2)) as normal weight (body mass index 18.5 to obese (body mass index ≥30) and by metabolic health, defined......, overweight women had similar risk to normal weight women (HR 0.92, interaction P=0.05). Obese black women without metabolic syndrome had higher adjusted risk (HR 1.95) than obese white women (HR 1.07; interaction P=0.02). Among women with only 2 metabolic abnormalities, cardiovascular risk was increased...

  5. Metabolic syndrome, C-reactive protein and cardiovascular risk in psoriasis patients: a cross-sectional study*

    Science.gov (United States)

    Paschoal, Renato Soriani; Silva, Daniela Antoniali; Cardili, Renata Nahas; Souza, Cacilda da Silva

    2018-01-01

    Background Psoriasis has been associated with co-morbidities and elevated cardiovascular risk. Objectives To analyze the relationships among metabolic syndrome, cardiovascular risk, C-reactive protein, gender, and Psoriasis severity. Methods In this cross-sectional study, plaque Psoriasis patients (n=90), distributed equally in gender, were analyzed according to: Psoriasis Area and Severity Index, cardiovascular risk determined by the Framingham risk score and global risk assessment, C-reactive protein and metabolic syndrome criteria (NCEPT-ATP III). Results Metabolic syndrome frequency was 43.3% overall, without significance between genders (P=0.14); but women had higher risk for obesity (OR 2.56, 95%CI 1.02-6.41; P=0.04) and systemic arterial hypertension (OR 3.29, 95%CI 1.39-7.81; P=0.006). The increase in the Psoriasis Area and Severity Index also increased the risk for metabolic syndrome (OR 1.060, 95%CI 1.006-1.117; P=0.03). Absolute 10-year cardiovascular risk was higher in males (P=0.002), but after global risk assessment, 51.1% patients, 52.2% women, were re-classified as high-intermediate cardiovascular risk; without significance between genders (P=0.83). C-reactive protein level was elevated nearly six-fold overall, higher in metabolic syndrome (P=0.05), systemic arterial hypertension (P=0.004), and high-intermediate 10-year cardiovascular risk patients (Preactive protein patients (t=1.98; P=0.05). Study limitations Restricted sample, hospital-based and representative of a single center and no specification of psoriatic arthritis. Conclusions Psoriasis, metabolic syndrome, systemic arterial hypertension and age share the increase in C-reactive protein, which could implicate in additional burden for increasing the cardiovascular risk and be an alert for effective interventions. PMID:29723366

  6. Differential impact of serum glucose, triglycerides, and high-density lipoprotein cholesterol on cardiovascular risk factor burden in nondiabetic, obese African American women: implications for the prevalence of metabolic syndrome.

    Science.gov (United States)

    Gaillard, Trudy; Schuster, Dara; Osei, Kwame

    2010-08-01

    Metabolic syndrome (MetS) as defined by the Adult Treatment Panel (ATP) III criteria includes 3 metabolic parameters: serum glucose, triglycerides, and high-density lipoprotein cholesterol (HDL-C) measurements. However, the impact of each of the 3 metabolic parameters on cardiovascular disease (CVD) risk in African American women (AAW) is unknown. Therefore, we investigated CVD risk clusters associated with each of the 3 metabolic components of MetS in adult nondiabetic, overweight/obese AAW. We studied the clinical and metabolic CVD risk factors of 258 AAW (mean age, 42.4 +/- 8.4 years; mean body mass index, 33.4 +/- 8.0 (kg/m(2)). Fasting serum insulin, glucose, and C-peptide levels were obtained in each subject. Waist circumference and systolic and diastolic blood pressure were measured. Insulin sensitivity (Bergman minimal model method) and insulin resistance (homeostasis model assessment) were calculated. We examined the prevalence of MetS and its components associated with each of the 3 metabolic components (ie, serum glucose, HDL-C, and triglycerides) of the MetS as defined by ATP III. Worsening of any of the 3 metabolic parameters was associated with increasing waist circumference but not with age and body mass index nor with insulin, C-peptide, homeostasis model assessment of insulin resistance, and insulin sensitivity. As a group, the prevalence of MetS was 35.5% in our AAW. The prevalence of MetS increased 3-fold from first to third tertiles of serum glucose (14.1% and 42.3%, respectively). Worsening of serum HDL-C from tertiles 3 to 1 was associated with significant increases in the prevalence of MetS (1.2% vs 42.3%, respectively). Comparing first with third tertile of triglycerides, there was no significant increase in MetS in our AAW (7% vs 17%). Contrasting the 3 metabolic components, the prevalence of MetS was higher in the third tertile of glucose (43.2%) and first tertile of HDL-C (42.3%) and least with the third tertile of triglycerides (17%). In

  7. Endophytic actinobacteria: Diversity, secondary metabolism and mechanisms to unsilence biosynthetic gene clusters.

    Science.gov (United States)

    Dinesh, Raghavan; Srinivasan, Veeraraghavan; T E, Sheeja; Anandaraj, Muthuswamy; Srambikkal, Hamza

    2017-09-01

    Endophytic actinobacteria, which reside in the inner tissues of host plants, are gaining serious attention due to their capacity to produce a plethora of secondary metabolites (e.g. antibiotics) possessing a wide variety of biological activity with diverse functions. This review encompasses the recent reports on endophytic actinobacterial species diversity, in planta habitats and mechanisms underlying their mode of entry into plants. Besides, their metabolic potential, novel bioactive compounds they produce and mechanisms to unravel their hidden metabolic repertoire by activation of cryptic or silent biosynthetic gene clusters (BGCs) for eliciting novel secondary metabolite production are discussed. The study also reviews the classical conservative techniques (chemical/biological/physical elicitation, co-culturing) as well as modern microbiology tools (e.g. next generation sequencing) that are being gainfully employed to uncover the vast hidden scaffolds for novel secondary metabolites produced by these endophytes, which would subsequently herald a revolution in drug engineering. The potential role of these endophytes in the agro-environment as promising biological candidates for inhibition of phytopathogens and the way forward to thoroughly exploit this unique microbial community by inducing expression of cryptic BGCs for encoding unseen products with novel therapeutic properties are also discussed.

  8. Metabolic Syndrome in Patients attending the Staff Clinic of a ...

    African Journals Online (AJOL)

    Background/objective: Metabolic syndrome (MetS) is characterised by a clustering of cardiometabolic risk factors. It contributes to morbidity and mortality in adults. The objective of the study was to identify new cases and associated factors of MetS in patients attending a tertiary hospital staff clinic. Materials and methods: The ...

  9. All-Cause Mortality Risk of Metabolically Healthy Obese Individuals in NHANES III

    Directory of Open Access Journals (Sweden)

    C. M. Durward

    2012-01-01

    Full Text Available Mortality risk across metabolic health-by-BMI categories in NHANES-III was examined. Metabolic health was defined as: (1 homeostasis model assessment-insulin resistance (HOMA-IR <2.5; (2 ≤2 Adult Treatment Panel (ATP III metabolic syndrome criteria; (3 combined definition using ≤1 of the following: HOMA-IR ≥1.95 (or diabetes medications, triglycerides ≥1.7 mmol/L, HDL-C <1.04 mmol/L (males or <1.30 mmol/L (females, LDL-C ≥2.6 mmol/L, and total cholesterol ≥5.2 mmol/L (or cholesterol-lowering medications. Hazard ratios (HR for all-cause mortality were estimated with Cox regression models. Nonpregnant women and men were included (n=4373, mean ± SD, age 37.1±10.9 years, BMI 27.3±5.8 kg/m2, 49.4% female. Only 40 of 1160 obese individuals were identified as MHO by all definitions. MHO groups had superior levels of clinical risk factors compared to unhealthy individuals but inferior levels compared to healthy lean groups. There was increased risk of all-cause mortality in metabolically unhealthy obese participants regardless of definition (HOMA-IR HR 2.07 (CI 1.3–3.4, P<0.01; ATP-III HR 1.98 (CI 1.4–2.9, P<0.001; combined definition HR 2.19 (CI 1.3–3.8, P<0.01. MHO participants were not significantly different from healthy lean individuals by any definition. While MHO individuals are not at significantly increased risk of all-cause mortality, their clinical risk profile is worse than that of metabolically healthy lean individuals.

  10. Association of Metabolic Syndrome with the Cardioankle Vascular Index in Asymptomatic Korean Population

    Science.gov (United States)

    Nam, Su-Hyun; Lee, Yun-Ah; Rho, Jun-Seung

    2015-01-01

    Aim. Metabolic syndrome is characterized by a cluster of atherosclerotic cardiovascular risk factors. The cardioankle vascular index (CAVI) reflects arterial stiffness and may be used as an indicator of atherosclerotic cardiovascular disease. In this study, we investigated the association of CAVI with metabolic syndrome. Methods. A total of 1,144 adults were included in this study. We measured CAVIs and examined blood samples to identify metabolic syndrome according to WHO Asia Pacific criteria and NCEP-ATPIII criteria. AST, ALT, r-GTP, BUN, creatinine, high sensitivity C-reactive protein, and uric acid were also measured. Results. CAVI values were significantly higher in subjects with metabolic syndrome than those without metabolic syndrome and increased according to the number of metabolic syndrome components present. Subjects with high fasting blood sugar levels or high blood pressure showed high CAVI values. Multiple regression analysis showed that age, sex, diastolic blood pressure, and uric acid were independent predictors of CAVI. Conclusion. Subjects with metabolic syndrome had high CAVIs, which indicated arterial stiffness, and were closely associated with an increase in the number of metabolic risk factors. The individual risk factors for metabolic syndrome have the synergistic effect of elevating arterial stiffness in asymptomatic Korean population. PMID:26273666

  11. Association of Serum Adiponectin Levels with Metabolic Syndrome Risk Factors in Malay Adults

    Directory of Open Access Journals (Sweden)

    Nur Firdaus Isa

    2017-09-01

    Full Text Available Introduction: This study aimed to investigate the relationship between serum adiponectin and metabolic syndrome in adults living in rural Malaysia. Methods: A total of 299 Malay adults (men=124; women = 175 with a mean age 48.8 (11.7 years were recruited. Measurements for waist circumference and blood pressure were taken before drawing an overnight fasting blood samples. Biochemical tests for triglycerides, HDL cholesterol, glucose and serum adiponectin concentration were measured. Results: Our results show that the adiponectin level in the subjects with metabolic syndrome was significantly lower than those without metabolic syndrome (p < 0.05. Among the metabolic syndrome risk factors, adiponectin level was significantly associated with hypertriglyceridemia and reduced HDL cholesterol (p < 0.001. Conclusion: The outcome from this study which highlights the association of hypoadiponectinemia with risk factors of metabolic syndrome in Malay adults, suggests that the reduced level of adiponectin may play a pivotal role in the development of metabolic syndrome in this ethnic group.

  12. Polymorphisms in fatty acid metabolism-related genes are associated with colorectal cancer risk

    DEFF Research Database (Denmark)

    Hoeft, B.; Linseisen, J.; Beckmann, L.

    2010-01-01

    as contributing factor to colon carcinogenesis. We examined the association between genetic variability in 43 fatty acid metabolism-related genes and colorectal risk in 1225 CRC cases and 2032 controls participating in the European Prospective Investigation into Cancer and Nutrition study. Three hundred......Colorectal cancer (CRC) is the third most common malignant tumor and the fourth leading cause of cancer death worldwide. The crucial role of fatty acids for a number of important biological processes suggests a more in-depth analysis of inter-individual differences in fatty acid metabolizing genes...... variants with CRC risk. Our results support the key role of prostanoid signaling in colon carcinogenesis and suggest a relevance of genetic variation in fatty acid metabolism-related genes and CRC risk....

  13. Hypoadiponectinemia in overweight children contributes to a negative metabolic risk profile 6 years later

    DEFF Research Database (Denmark)

    Kynde, Iben; Heitmann, Berit L; Bygbjerg, Ib C

    2009-01-01

    follow-up data 6 years later (n = 169). Cardiometabolic risk profile was calculated using a continuous composite score derived from summing of 6 factors standardized to the sample means (Z scores): body mass index, homeostasis model assessment of insulin resistance, total serum cholesterol to serum high...... adiponectin at baseline was inversely associated with metabolic risk score 6 years later (P = .04). In childhood, both hypoadiponectinemia and hyperleptinemia accompany a negative metabolic risk profile. In addition, circulating plasma adiponectin may be a useful biomarker to identify overweight children......Prognostic biomarkers are needed to identify children at increased cardiometabolic risk. The objective was to study whether markers of metabolism and inflammation, for example, circulating plasma adiponectin, leptin, interleukin-8, and hepatocyte growth factor, are associated with cardiometabolic...

  14. Life course socioeconomic position and C-reactive protein: mediating role of health-risk behaviors and metabolic alterations. The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil.

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    Lidyane V Camelo

    Full Text Available BACKGROUND: Chronic inflammation has been postulated to be one mediating mechanism explaining the association between low socioeconomic position (SEP and cardiovascular disease (CVD. We sought to examine the association between life course SEP and C-reactive protein (CRP levels in adulthood, and to evaluate the extent to which health-risk behaviors and metabolic alterations mediate this association. Additionally, we explored the possible modifying influence of gender. METHODS AND FINDINGS: Our analytical sample comprised 13,371 participants from ELSA-Brasil baseline, a multicenter prospective cohort study of civil servants. SEP during childhood, young adulthood, and adulthood were considered. The potential mediators between life course SEP and CRP included clusters of health-risk behaviors (smoking, low leisure time physical activity, excessive alcohol consumption, and metabolic alterations (obesity, hypertension, low HDL, hypertriglyceridemia, and diabetes. Linear regression models were performed and structural equation modeling was used to evaluate mediation. Although lower childhood SEP was associated with higher levels of CRP in adult life, this association was not independent of adulthood SEP. However, CRP increased linearly with increasing number of unfavorable social circumstances during the life course (p trend <0.001. The metabolic alterations were the most important mediator between cumulative SEP and CRP. This mediation path accounted for 49.5% of the total effect of cumulative SEP on CRP among women, but only 20.2% among men. In consequence, the portion of the total effect of cumulative SEP on CRP that was mediated by risk behaviors and metabolic alterations was higher among women (55.4% than among men (36.8%. CONCLUSIONS: Cumulative SEP across life span was associated with elevated systemic inflammation in adulthood. Although health-risk behaviors and metabolic alterations were important mediators of this association, a sizable

  15. Association between television viewing and the risk of metabolic syndrome in a community-based population

    Directory of Open Access Journals (Sweden)

    Liu Chiu-Shong

    2008-06-01

    Full Text Available Abstract Background As a result of metabolic syndrome becoming an important issue during recent decades, many studies have explored the risk factors contributing to its development. However, less attention has been paid to the risk associated with sedentary behavior, especially television viewing. This study examined the association between television viewing time and the risk of having metabolic syndrome in a population of Taiwanese subjects. Methods This community-based cross-sectional study included 2,353 subjects (1,144 men and 1,209 women aged 40 and over from October, 2004 to September, 2005. Information about the time spent watching TV was obtained using a self-administered questionnaire. The definition of metabolic syndrome was according to the Third Report of the National Cholesterol Education Program's Adult Treatment Panel modified for Asians. Results Compared to subjects who viewed TV 20 hr/week had a 1.50-fold (95% confidence intervals (CI: 1.10, 2.03 risk for men and a 1.93-fold (95% CI: 1.37, 2.71 risk for women of having metabolic syndrome, after adjusting for physical activity and other covariates. Stratifying by the three categories of total activity levels, TV viewing time > 20 hr/week was found to still hold a significant risk for having metabolic syndrome in the lowest of the three categories of total activity level for men and in all three categories of total activity level for women. Conclusion The findings suggest that TV viewing is an independent risk factor associated with metabolic syndrome in Taiwanese people.

  16. OBESITY AND METABOLIC SYNDROME IN CHILDREN AND YOUTH: A HEALTH RISK WE CANNOT AFFORD

    OpenAIRE

    Serge P. von Duvillard

    2012-01-01

    Ample observational and empirical evidence has been provided that indicates that childhood metabolic syndrome risk factors inevitably lead to significantly more profound health risk factors of developing potent adulthood metabolic syndrome. Much of these data has been provided from medical, nutritional, health, pediatric, physical education and associated communities. Perhaps the most visible and observable health risk factor among children (here referred to as youth) is the childhood obesit...

  17. Risk factors associated with cluster size of Mycobacterium tuberculosis (Mtb) of different RFLP lineages in Brazil.

    Science.gov (United States)

    Peres, Renata Lyrio; Vinhas, Solange Alves; Ribeiro, Fabíola Karla Correa; Palaci, Moisés; do Prado, Thiago Nascimento; Reis-Santos, Bárbara; Zandonade, Eliana; Suffys, Philip Noel; Golub, Jonathan E; Riley, Lee W; Maciel, Ethel Leonor

    2018-02-08

    Tuberculosis (TB) transmission is influenced by patient-related risk, environment and bacteriological factors. We determined the risk factors associated with cluster size of IS6110 RFLP based genotypes of Mycobacterium tuberculosis (Mtb) isolates from Vitoria, Espirito Santo, Brazil. Cross-sectional study of new TB cases identified in the metropolitan area of Vitoria, Brazil between 2000 and 2010. Mtb isolates were genotyped by the IS6110 RFLP, spoligotyping and RD Rio . The isolates were classified according to genotype cluster sizes by three genotyping methods and associated patient epidemiologic characteristics. Regression Model was performed to identify factors associated with cluster size. Among 959 Mtb isolates, 461 (48%) cases had an isolate that belonged to an RFLP cluster, and six clusters with ten or more isolates were identified. Of the isolates spoligotyped, 448 (52%) were classified as LAM and 412 (48%) as non-LAM. Our regression model found that 6-9 isolates/RFLP cluster were more likely belong to the LAM family, having the RD Rio genotype and to be smear-positive (adjusted OR = 1.17, 95% CI 1.08-1.26; adjusted OR = 1.25, 95% CI 1.14-1.37; crude OR = 2.68, 95% IC 1.13-6.34; respectively) and living in a Serra city neighborhood decrease the risk of being in the 6-9 isolates/RFLP cluster (adjusted OR = 0.29, 95% CI, 0.10-0.84), than in the others groups. Individuals aged 21 to 30, 31 to 40 and > 50 years were less likely of belonging the 2-5 isolates/RFLP cluster than unique patterns compared to individuals cluster group (adjustment OR = 0.45, 95% CI 0.24-0.85) than unique patterns. We found that a large proportion of new TB infections in Vitoria is caused by prevalent Mtb genotypes belonging to the LAM family and RD Rio genotypes. Such information demonstrates that some genotypes are more likely to cause recent transmission. Targeting interventions such as screening in specific areas and social risk groups, should be a priority

  18. Metabolic syndrome and the risk of adverse cardiovascular events after an acute coronary syndrome.

    Science.gov (United States)

    Cavallari, Ilaria; Cannon, Christopher P; Braunwald, Eugene; Goodrich, Erica L; Im, KyungAh; Lukas, Mary Ann; O'Donoghue, Michelle L

    2018-05-01

    Background The incremental prognostic value of assessing the metabolic syndrome has been disputed. Little is known regarding its prognostic value in patients after an acute coronary syndrome. Design and methods The presence of metabolic syndrome (2005 International Diabetes Federation) was assessed at baseline in SOLID-TIMI 52, a trial of patients within 30 days of acute coronary syndrome (median follow-up 2.5 years). The primary endpoint was major coronary events (coronary heart disease death, myocardial infarction or urgent coronary revascularization). Results At baseline, 61.6% ( n = 7537) of patients met the definition of metabolic syndrome, 34.7% (n = 4247) had diabetes and 29.3% had both ( n = 3584). The presence of metabolic syndrome was associated with increased risk of major coronary events (adjusted hazard ratio (adjHR) 1.29, p metabolic syndrome was numerically but not significantly associated with the risk of major coronary events (adjHR 1.13, p = 0.06). Conversely, diabetes was a strong independent predictor of major coronary events in the absence of metabolic syndrome (adjHR 1.57, p metabolic syndrome identified patients at highest risk of adverse outcomes but the incremental value of metabolic syndrome was not significant relative to diabetes alone (adjHR 1.07, p = 0.54). Conclusions After acute coronary syndrome, diabetes is a strong and independent predictor of adverse outcomes. Assessment of the metabolic syndrome provides only marginal incremental value once the presence or absence of diabetes is established.

  19. Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome?

    DEFF Research Database (Denmark)

    Benyamin, B; Sørensen, T I A; Schousboe, K

    2007-01-01

    and environmental factors influencing this cluster in a general population of twin pairs. MATERIALS AND METHODS: A multivariate genetic analysis was performed on nine endophenotypes associated with the metabolic syndrome from 625 adult twin pairs of the GEMINAKAR study of the Danish Twin Registry. RESULTS: All......AIMS/HYPOTHESIS: The cluster of obesity, insulin resistance, dyslipidaemia and hypertension, called the metabolic syndrome, has been suggested as a risk factor for cardiovascular disease and type 2 diabetes. The aim of the present study was to evaluate whether there are common genetic...... endophenotypes showed moderate to high heritability (0.31-0.69) and small cial environmental background...

  20. Metabolic state alters economic decision making under risk in humans.

    OpenAIRE

    Mkael Symmonds; Julian J Emmanuel; Megan E Drew; Rachel L Batterham; Raymond J Dolan

    2010-01-01

    Background Animals' attitudes to risk are profoundly influenced by metabolic state (hunger and baseline energy stores). Specifically, animals often express a preference for risky (more variable) food sources when below a metabolic reference point (hungry), and safe (less variable) food sources when sated. Circulating hormones report the status of energy reserves and acute nutrient intake to widespread targets in the central nervous system that regulate feeding behaviour, including brain regio...

  1. NPAS2 and PER2 are linked to risk factors of the metabolic syndrome

    Directory of Open Access Journals (Sweden)

    Aromaa Arpo

    2009-05-01

    Full Text Available Abstract Background Mammalian circadian clocks control multiple physiological events. The principal circadian clock generates seasonal variations in behavior as well. Seasonality elevates the risk for metabolic syndrome, and evidence suggests that disruption of the clockwork can lead to alterations in metabolism. Our aim was to analyze whether circadian clock polymorphisms contribute to seasonal variations in behavior and to the metabolic syndrome. Methods We genotyped 39 single-nucleotide polymorphisms (SNP from 19 genes which were either canonical circadian clock genes or genes related to the circadian clockwork from 517 individuals drawn from a nationwide population-based sample. Associations between these SNPs and seasonality, metabolic syndrome and its risk factors were analyzed using regression analysis. The p-values were corrected for multiple testing. Results Our findings link circadian gene variants to the risk factors of the metabolic syndrome, since Npas2 was associated with hypertension (P-value corrected for multiple testing = 0.0024 and Per2 was associated with high fasting blood glucose (P-value corrected for multiple testing = 0.049. Conclusion Our findings support the view that relevant relationships between circadian clocks and the metabolic syndrome in humans exist.

  2. Insulin sensitivity and clustering of coronary heart disease risk factors in young adults. The Northern Ireland Young Hearts Study

    DEFF Research Database (Denmark)

    Andersen, Lars Bo; Boreham, Colin A.G.; Young, Ian S.

    2006-01-01

    risk factor. Subjects with clustered risk were defined as those displaying four or more risk factors. Blood glucose and insulin were measured in the fasting state and 2 h after ingestion of a 75 g glucose load. Results. Fasting insulin and the homeostasis model assessment insulin resistance score (HOMA......) were strong, graded predictors of clustered risk. The odds ratio (OR) for having clustered risk was 10.8 (95% CI: 3.6-32.4) for the upper quartile of fasting insulin compared to the lowest quartile, and the corresponding OR for HOMA was 23.2 (95% CI: 5.3-101.6). Conclusion. HOMA score predicts...

  3. Sweetened beverage consumption and increased risk of metabolic syndrome in Mexican adults.

    Science.gov (United States)

    Denova-Gutiérrez, Edgar; Talavera, Juan O; Huitrón-Bravo, Gerardo; Méndez-Hernández, Pablo; Salmerón, Jorge

    2010-06-01

    To examine the relationship between sweetened beverage consumption and components of the metabolic syndrome in a Mexican population. We performed a cross-sectional analysis of data from selected adults participating in the baseline assessment of the Health Workers Cohort Study. Information on participants' sociodemographic characteristics, dietary patterns and physical activity were collected via self-administered questionnaires. Sweetened beverage consumption was evaluated through a validated semi-quantitative FFQ. Anthropometric and clinical measures were assessed with standardized procedures. The definition of metabolic syndrome was determined using criteria from the National Cholesterol Education Program Adult Treatment Panel III. The associations of interest were evaluated by means of linear and logistic regression models. The Mexican states of Morelos and Mexico. A total of 5240 individuals aged 20 to 70 years (mean 39.4 (sd 11.5) years) were evaluated. Overweight/obesity prevalence was 56.6 %. The prevalence of metabolic syndrome in this sample was 26.6 %. We found that for each additional daily sweetened beverage serving consumed, participants experienced an average increase of 0.49 mmol/l in TAG and a decrease in HDL cholesterol of 0.31 mmol/l. Subjects consuming more than two servings of sweetened beverages daily were at 2.0 times greater risk of metabolic syndrome than those who did not consume sweetened beverages. We also observed that higher sweetened beverage consumption increased the risk of all components of the metabolic syndrome. Our data support the hypothesis that sweetened beverage consumption increases the risk of metabolic syndrome in Mexican adults, possibly by providing excess energy and large amounts of rapidly absorbable sugars.

  4. The skin function: a factor of anti-metabolic syndrome

    Directory of Open Access Journals (Sweden)

    Zhou Shi-Sheng

    2012-04-01

    Full Text Available Abstract The body’s total antioxidant capacity represents a sum of the antioxidant capacity of various tissues/organs. A decrease in the body’s antioxidant capacity may induce oxidative stress and subsequent metabolic syndrome, a clustering of risk factors for type 2 diabetes and cardiovascular disease. The skin, the largest organ of the body, is one of the major components of the body’s total antioxidant defense system, primarily through its xenobiotic/drug biotransformation system, reactive oxygen species-scavenging system, and sweat glands- and sebaceous glands-mediated excretion system. Notably, unlike other contributors, the skin contribution is variable, depending on lifestyles and ambient temperature or seasonal variations. Emerging evidence suggests that decreased skin’s antioxidant and excretory functions (e.g., due to sedentary lifestyles and low ambient temperature may increase the risk for metabolic syndrome. This review focuses on the relationship between the variability of skin-mediated detoxification and elimination of exogenous and endogenous toxic substances and the development of metabolic syndrome. The potential role of sebum secretion in lipid and cholesterol homeostasis and its impact on metabolic syndrome, and the association between skin disorders (acanthosis nigricans, acne, and burn and metabolic syndrome are also discussed.

  5. Performance of the modified Poisson regression approach for estimating relative risks from clustered prospective data.

    Science.gov (United States)

    Yelland, Lisa N; Salter, Amy B; Ryan, Philip

    2011-10-15

    Modified Poisson regression, which combines a log Poisson regression model with robust variance estimation, is a useful alternative to log binomial regression for estimating relative risks. Previous studies have shown both analytically and by simulation that modified Poisson regression is appropriate for independent prospective data. This method is often applied to clustered prospective data, despite a lack of evidence to support its use in this setting. The purpose of this article is to evaluate the performance of the modified Poisson regression approach for estimating relative risks from clustered prospective data, by using generalized estimating equations to account for clustering. A simulation study is conducted to compare log binomial regression and modified Poisson regression for analyzing clustered data from intervention and observational studies. Both methods generally perform well in terms of bias, type I error, and coverage. Unlike log binomial regression, modified Poisson regression is not prone to convergence problems. The methods are contrasted by using example data sets from 2 large studies. The results presented in this article support the use of modified Poisson regression as an alternative to log binomial regression for analyzing clustered prospective data when clustering is taken into account by using generalized estimating equations.

  6. DIETARY RISK FACTORS OF METABOLIC SYNDROME IN DIBRUGARH DISTRICT OF ASSAM

    Directory of Open Access Journals (Sweden)

    Tulika Goswami Mahanta

    2017-07-01

    Full Text Available BACKGROUND As India is considered as the diabetic capital of the world, a huge burden of undiagnosed Metabolic Syndrome (MetS is a possibility. Early intervention can be planned if MetS can be detected early along with risk factor assessment to avert cardiovascular morbidities. The aim of this study was to assess the dietary risk factor of metabolic syndrome. MATERIALS AND METHODS Community based cross-sectional study was conducted in Dibrugarh District of Assam with multistep sampling. Study area, i.e. four rural sub-centres and two urban electoral blocks were selected randomly. From the list of population of selected area, the consenting eligible were included. Sample size was 1700 population with MetS. Socio-demographic information, World Health Organisation’s STEPS questionnaire for behavioural risk factors along with dietary history, anthropometric assessment and laboratory investigations were conducted in three stages. Food frequency questionnaire was used for dietary assessment. Statistical analysis was done using rates, ratio, proportion, univariate and multivariate analysis. RESULTS MetS was 47.6% (1606 of 3372 screened. Mean age of study population was 47.1 ± 10.9 years. Behavioural risk factors like tobacco, alcohol consumption was high and significantly associated with metabolic syndrome (p= 0.000. Similarly financial stress, feeling stressed in last one year (p=0.034, lower physical activity level were also significantly associated with metS (p=0.000. Consumption of meat (p=0.000, egg (p=0.000, fast food (p=0.000, pickled vegetable (p=0.000 and sweet snacks (p=0.000 was found significantly higher amongst those with metabolic syndrome. Significant association was also seen with number of meals served per day and metS (p=0.000. CONCLUSION Dietary risk factors of cardiovascular diseases were rampant amongst persons with MetS. Dietary risk factor survey and counselling on healthy diet can be implemented in these population to give

  7. Abdominal fat and metabolic risk in obese children and adolescents.

    Science.gov (United States)

    Revenga-Frauca, J; González-Gil, E M; Bueno-Lozano, G; De Miguel-Etayo, P; Velasco-Martínez, P; Rey-López, J P; Bueno-Lozano, O; Moreno, L A

    2009-12-01

    The aim of this study was to investigate fat distribution, mainly abdominal fat, and its relationship with metabolic risk variables in a group of 126 children and adolescents (60 males and 66 females) aged 5.0 to 14.9. According to IOTF criteria, 46 were classified as normal weight, 28 overweight and 52 obese. Weight, height, waist (WC) and hip circumferences were measured. The body mass index (BMI) was calculated. Total body fat, trunkal and abdominal fat were also assessed by dual energy x-ray absorptiometry (DXA). Glucose, insulin, HDL-Cholesterol, triglycerides (TG), ferritine, homocystein and C-reactive protein (CRP) were measured. Obesity status was related with insulin concentrations, CRP, TG and HDL. Obese patients had higher abdominal fat and higher CRP values than overweight and normal subjects. All markers of central body adiposity were related with insulin and lipid metabolism; however, they were not related with homocystein or ferritin. A simple anthropometric measurement, like waist circumference, seems to be a good predictor of the majority of the obesity related metabolic risk variables.

  8. Novel Functions of MicroRNA-17-92 Cluster in the Endocrine System.

    Science.gov (United States)

    Wan, Shan; Chen, Xiang; He, Yuedong; Yu, Xijie

    2018-01-01

    MiR-17-92 cluster is coded by MIR17HG in chromosome 13, which is highly conserved in vertebrates. Published literatures have proved that miR-17-92 cluster critically regulates tumorigenesis and metastasis. Recent researches showed that the miR-17-92 cluster also plays novel functions in the endocrine system. To summarize recent findings on the physiological and pathological roles of miR-17-92 cluster in bone, lipid and glucose metabolisms. MiR-17-92 cluster plays significant regulatory roles in bone development and metabolism through regulating the differentiation and function of osteoblasts and osteoclasts. In addition, miR-17- 92 cluster is nearly involved in every aspect of lipid metabolism. Last but not the least, the miR-17-92 cluster is closely bound up with pancreatic beta cell function, development of type 1 diabetes and insulin resistance. However, whether miR-17-92 cluster is involved in the communication among bone, fat and glucose metabolisms remains unknown. Growing evidence indicates that miR-17-92 cluster plays significant roles in bone, lipid and glucose metabolisms through a variety of signaling pathways. Fully understanding its modulating mechanisms may necessarily facilitate to comprehend the clinical and molecule features of some metabolic disorders such as osteoporosis, arthrosclerosis and diabetes mellitus. It may provide new drug targets to prevent and cure these disorders. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  9. Fertility biomarkers to estimate metabolic risks in women with polycystic ovary syndrome.

    Science.gov (United States)

    Detti, Laura; Jeffries-Boyd, Heather E; Williams, Lucy J; Diamond, Michael P; Uhlmann, Rebecca A

    2015-12-01

    We sought to evaluate the relationship between the polycystic ovary syndrome (PCOS)-defining characteristics and the risk of developing metabolic complications in women presenting with complaints of infertility and/or menstrual irregularities and subsequently diagnosed with PCOS. This was a cross-sectional study. Women presenting with complaints of infertility and/or irregular menses and diagnosed with PCOS by the Rotterdam criteria, underwent endocrine, metabolic, and ultrasound assessment in the early follicular phase. Reproductive and metabolic parameters were included in regression analysis models with the PCOS-defining characteristics; ROC curves were calculated for the significant predictors. Three hundred and seventy-four women with PCOS were included in our study. Oligo-anovulation, menstrual irregularities, and hirsutism were not predictive of any of the variables. Ovarian volume, follicle count, and biochemical hyperandrogenism were predictors for hormonal, metabolic, and endometrial complications. The relationships were independent of age and body mass index. ROC curves identified lower cut-off values of the PCOS-defining characteristics to predict patients' risks of hyperinsulinemia, dyslipidemia, and glucose intolerance. Adverse metabolic effects of PCOS are already present in women at the time they present complaining of infertility and/or irregular menses. Hyperandrogenism and ultrasound can assist in predicting the patients' concomitant metabolic abnormalities and can aid physicians in tailoring counseling for effective preventive strategies.

  10. Intermittent nocturnal hypoxia and metabolic risk in obese adolescents with obstructive sleep apnea.

    Science.gov (United States)

    Narang, Indra; McCrindle, Brian W; Manlhiot, Cedric; Lu, Zihang; Al-Saleh, Suhail; Birken, Catherine S; Hamilton, Jill

    2018-01-22

    There is conflicting data regarding the independent associations of obstructive sleep apnea (OSA) with metabolic risk in obese youth. Previous studies have not consistently addressed central adiposity, specifically elevated waist to height ratio (WHtR), which is associated with metabolic risk independent of body mass index. The objective of this study was to determine the independent effects of the obstructive apnea-hypopnea index (OAHI) and associated indices of nocturnal hypoxia on metabolic function in obese youth after adjusting for WHtR. Subjects had standardized anthropometric measurements. Fasting blood included insulin, glucose, glycated hemoglobin, alanine transferase, and aspartate transaminase. Insulin resistance was quantified with the homeostatic model assessment. Overnight polysomnography determined the OAHI and nocturnal oxygenation indices. Of the 75 recruited subjects, 23% were diagnosed with OSA. Adjusting for age, gender, and WHtR in multivariable linear regression models, a higher oxygen desaturation index was associated with a higher fasting insulin (coefficient [standard error] = 48.076 [11.255], p Intermittent nocturnal hypoxia rather than the OAHI was associated with metabolic risk in obese youth after adjusting for WHtR. Measures of abdominal adiposity such as WHtR should be considered in future studies that evaluate the impact of OSA on metabolic health.

  11. Increased risk of hospitalization for ultrarapid metabolizers of cytochrome P450 2D6

    Directory of Open Access Journals (Sweden)

    Takahashi PY

    2017-02-01

    Full Text Available Paul Y Takahashi,1 Euijung Ryu,2 Jyotishman Pathak,2 Gregory D Jenkins,2 Anthony Batzler,2 Matthew A Hathcock,2 John Logan Black,3 Janet E Olson,2 James R Cerhan,2 Suzette J Bielinski2 1Division of Primary Care Internal Medicine, Department of Medicine, 2Department of Health Sciences Research, 3Division of Clinical Biochemistry and Immunology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA Background: Cytochrome P450 2D6 (CYP2D6 is responsible for the metabolism of clinically used drugs and other environmental exposures, but it is unclear whether the CYP2D6 phenotype is associated with adverse health outcomes. The aim was to determine the association of CYP2D6 phenotype with the risk of hospitalization or an emergency department (ED visit among a group of primary care patients. Methods: In this study, 929 adult patients underwent CYP2D6 testing. The primary outcome was risk of hospitalization or an ED visit from January 2005 through September 2014. CYP2D6 genotypes were interpreted as 1 of 7 clinical phenotypes, from ultrarapid to poor metabolizer, and patients with the extensive metabolizer phenotype were used as the reference group. The hazard ratios (HRs and 95% confidence intervals (CIs were estimated for finding the association of CYP2D6 phenotypes with the risk of hospitalization or an ED visit by using Cox proportional hazard models and adjusting for age and sex. Results: The median age was 49 years (interquartile range, 46–52 years; 74% of patients had 3 or fewer chronic conditions, 285 had at least 1 hospitalization, and 496 had at least 1 ED visit. The risk of hospitalization was higher among patients who were ultrarapid metabolizers compared to extensive metabolizers (47% vs 30%; HR, 1.69; 95% CI, 1.11–2.57, as was the risk of an ED visit (62% vs 49%; HR, 1.50; 95% CI, 1.05–2.14. For poor metabolizers compared to extensive metabolizers, there was no difference in the risk of hospitalization (HR

  12. Association of sleep quality components and wake time with metabolic syndrome: The Qazvin Metabolic Diseases Study (QMDS), Iran.

    Science.gov (United States)

    Zohal, Mohammadali; Ghorbani, Azam; Esmailzadehha, Neda; Ziaee, Amir; Mohammadi, Zahrasadat

    2017-11-01

    The aim of this study was to determine the association of sleep quality and sleep quantity with metabolic syndrome in Qazvin, Iran. this cross sectional study was conducted in 1079 residents of Qazvin selected by multistage cluster random sampling method in 2011. Metabolic syndrome was defined according to the criteria proposed by the national cholesterol education program third Adult treatment panel. Sleep was assessed using the Pittsburgh sleep quality index (PSQI). A logistic regression analysis was used to examine the association of sleep status and metabolic syndrome. Mean age was 40.08±10.33years. Of 1079, 578 (52.2%) were female, and 30.6% had metabolic syndrome. The total global PSQI score in the subjects with metabolic syndrome was significantly higher than subjects without metabolic syndrome (6.30±3.20 vs. 5.83±2.76, P=0.013). In logistic regression analysis, sleep disturbances was associated with 1.388 fold increased risk of metabolic syndrome after adjustment for age, gender, and body mass index. Sleep disturbances component was a predictor of metabolic syndrome in the present study. More longitudinal studies are necessary to understand the association of sleep quality and its components with metabolic syndrome. Copyright © 2017 Diabetes India. Published by Elsevier Ltd. All rights reserved.

  13. A two fold risk of metabolic syndrome in a sample of patients with schizophrenia: do consanguinity and family history increase risk?

    Science.gov (United States)

    Bener, Abdulbari; Al-Hamaq, Abdulla O A A; Dafeeah, Elnour E

    2014-01-01

    Patients with schizophrenia are at greater risk for metabolic syndrome (MetS) and other cardiovascular risk factors. The objective of the study was to examine the prevalence of metabolic syndrome (MetS) and its criteria among patients with schizophrenia (Sz) according to the revised criteria of NCEP ATP III and assess which component contributed to the increased risk of the MetS in schizophrenia patients. This was a matched case-control study. Outpatient clinics of the Psychiatry department and Primary Health Care (PHC) Centers of the Supreme Council of Health, State of Qatar. The study was carried out among patients with schizophrenia (SZ) and healthy subjects above 20 years old. The study based on matched by age and gender of 233 cases and 466 controls. The survey was conducted from June 2010 to May 2011. Face to face interviews were conducted using a structured questionnaire followed by laboratory tests. Metabolic syndrome was defined using the National Cholesterol Education Program - Third Adult Treatment Panel (ATP III). The prevalence of metabolic syndrome among schizophrenic patients (36.5%) were significantly higher than healthy subjects (18.7%) (pmetabolic abnormalities compared to men. The study indicated that metabolic syndrome was highly prevalent in patients with schizophrenia. The female gender was significantly associated with a higher prevalence of metabolic syndrome. The identification and clinical management of this high risk group is of great importance. Copyright © 2013 Diabetes India. Published by Elsevier Ltd. All rights reserved.

  14. Health behavior and perceptions among African American women with metabolic syndrome

    Directory of Open Access Journals (Sweden)

    Srikrishna Varun Malayala

    2016-02-01

    Full Text Available Background: Metabolic syndrome is a cluster of different risk factors (abdominal obesity, insulin resistance, high blood pressure, and high cholesterol that predispose to the development of cardiovascular diseases. African American women (AAW are easily predisposed to metabolic syndrome due to higher levels of insulin resistance. Various sociodemographic factors further contribute to higher prevalence. Aim: This study evaluates the current prevalence of metabolic syndrome in AAW and identifies the related sociodemographic risk factors. Methods: The study utilized 2007–11 National Health and Nutrition Examination Survey (NHANES data sets from the Centers for Disease Control (CDC. The sample was divided into two groups: AAW with and without metabolic syndrome. Sociodemographic, physical examination, laboratory parameters, and health perceptions were compared between the two groups. Results: Out of the available sample of 30,442 individuals, 1918 (6.4% met the inclusion criteria (AAW, age>20, non-pregnant women. The prevalence of metabolic syndrome was 47%. Older age, lower education level, low socioeconomic status, unmarried status, low physical activity level, and smoking were associated with higher prevalence of metabolic syndrome (p<0.001. The prevalence of borderline hypertension, hypertension, diabetes, stroke, and cardiovascular diseases was significantly higher in AAW with metabolic syndrome (p<0.001. Conclusion: In spite of the focus on prevention of cardiovascular risk factors and elimination of ethnic and gender disparities, metabolic syndrome is still widely prevalent in AAW and poses a threat to the goals of Healthy People 2020.

  15. White matter microstructure and cognitive decline in metabolic syndrome: a review of diffusion tensor imaging.

    Science.gov (United States)

    Alfaro, Freddy J; Gavrieli, Anna; Saade-Lemus, Patricia; Lioutas, Vasileios-Arsenios; Upadhyay, Jagriti; Novak, Vera

    2018-01-01

    Metabolic syndrome is a cluster of cardiovascular risk factors defined by the presence of abdominal obesity, glucose intolerance, hypertension and/or dyslipidemia. It is a major public health epidemic worldwide, and a known risk factor for the development of cognitive dysfunction and dementia. Several studies have demonstrated a positive association between the presence of metabolic syndrome and worse cognitive outcomes, however, evidence of brain structure pathology is limited. Diffusion tensor imaging has offered new opportunities to detect microstructural white matter changes in metabolic syndrome, and a possibility to detect associations between functional and structural abnormalities. This review analyzes the impact of metabolic syndrome on white matter microstructural integrity, brain structure abnormalities and their relationship to cognitive function. Each of the metabolic syndrome components exerts a specific signature of white matter microstructural abnormalities. Metabolic syndrome and its components exert both additive/synergistic, as well as, independent effects on brain microstructure thus accelerating brain aging and cognitive decline. Copyright © 2017 Elsevier Inc. All rights reserved.

  16. Research on the method of information system risk state estimation based on clustering particle filter

    Directory of Open Access Journals (Sweden)

    Cui Jia

    2017-05-01

    Full Text Available With the purpose of reinforcing correlation analysis of risk assessment threat factors, a dynamic assessment method of safety risks based on particle filtering is proposed, which takes threat analysis as the core. Based on the risk assessment standards, the method selects threat indicates, applies a particle filtering algorithm to calculate influencing weight of threat indications, and confirms information system risk levels by combining with state estimation theory. In order to improve the calculating efficiency of the particle filtering algorithm, the k-means cluster algorithm is introduced to the particle filtering algorithm. By clustering all particles, the author regards centroid as the representative to operate, so as to reduce calculated amount. The empirical experience indicates that the method can embody the relation of mutual dependence and influence in risk elements reasonably. Under the circumstance of limited information, it provides the scientific basis on fabricating a risk management control strategy.

  17. Research on the method of information system risk state estimation based on clustering particle filter

    Science.gov (United States)

    Cui, Jia; Hong, Bei; Jiang, Xuepeng; Chen, Qinghua

    2017-05-01

    With the purpose of reinforcing correlation analysis of risk assessment threat factors, a dynamic assessment method of safety risks based on particle filtering is proposed, which takes threat analysis as the core. Based on the risk assessment standards, the method selects threat indicates, applies a particle filtering algorithm to calculate influencing weight of threat indications, and confirms information system risk levels by combining with state estimation theory. In order to improve the calculating efficiency of the particle filtering algorithm, the k-means cluster algorithm is introduced to the particle filtering algorithm. By clustering all particles, the author regards centroid as the representative to operate, so as to reduce calculated amount. The empirical experience indicates that the method can embody the relation of mutual dependence and influence in risk elements reasonably. Under the circumstance of limited information, it provides the scientific basis on fabricating a risk management control strategy.

  18. Nitric oxide and mitochondria in metabolic syndrome

    Science.gov (United States)

    Litvinova, Larisa; Atochin, Dmitriy N.; Fattakhov, Nikolai; Vasilenko, Mariia; Zatolokin, Pavel; Kirienkova, Elena

    2015-01-01

    Metabolic syndrome (MS) is a cluster of metabolic disorders that collectively increase the risk of cardiovascular disease. Nitric oxide (NO) plays a crucial role in the pathogeneses of MS components and is involved in different mitochondrial signaling pathways that control respiration and apoptosis. The present review summarizes the recent information regarding the interrelations of mitochondria and NO in MS. Changes in the activities of different NO synthase isoforms lead to the formation of metabolic disorders and therefore are highlighted here. Reduced endothelial NOS activity and NO bioavailability, as the main factors underlying the endothelial dysfunction that occurs in MS, are discussed in this review in relation to mitochondrial dysfunction. We also focus on potential therapeutic strategies involving NO signaling pathways that can be used to treat patients with metabolic disorders associated with mitochondrial dysfunction. The article may help researchers develop new approaches for the diagnosis, prevention and treatment of MS. PMID:25741283

  19. The metabolic syndrome: targeting dyslipidaemia to reduce coronary risk.

    NARCIS (Netherlands)

    Ginsberg, H.N.; Stalenhoef, A.F.H.

    2003-01-01

    The metabolic syndrome is a complex constellation of disorders, each one a significant risk factor for the development of cardiovascular disease (CVD). The increasing prevalence of this condition is a major concern for healthcare providers both in Europe and North America. The concern surrounding

  20. Patterns of comorbidity in community-dwelling older people hospitalised for fall-related injury: A cluster analysis

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    Finch Caroline F

    2011-08-01

    Full Text Available Abstract Background Community-dwelling older people aged 65+ years sustain falls frequently; these can result in physical injuries necessitating medical attention including emergency department care and hospitalisation. Certain health conditions and impairments have been shown to contribute independently to the risk of falling or experiencing a fall injury, suggesting that individuals with these conditions or impairments should be the focus of falls prevention. Since older people commonly have multiple conditions/impairments, knowledge about which conditions/impairments coexist in at-risk individuals would be valuable in the implementation of a targeted prevention approach. The objective of this study was therefore to examine the prevalence and patterns of comorbidity in this population group. Methods We analysed hospitalisation data from Victoria, Australia's second most populous state, to estimate the prevalence of comorbidity in patients hospitalised at least once between 2005-6 and 2007-8 for treatment of acute fall-related injuries. In patients with two or more comorbid conditions (multicomorbidity we used an agglomerative hierarchical clustering method to cluster comorbidity variables and identify constellations of conditions. Results More than one in four patients had at least one comorbid condition and among patients with comorbidity one in three had multicomorbidity (range 2-7. The prevalence of comorbidity varied by gender, age group, ethnicity and injury type; it was also associated with a significant increase in the average cumulative length of stay per patient. The cluster analysis identified five distinct, biologically plausible clusters of comorbidity: cardiopulmonary/metabolic, neurological, sensory, stroke and cancer. The cardiopulmonary/metabolic cluster was the largest cluster among the clusters identified. Conclusions The consequences of comorbidity clustering in terms of falls and/or injury outcomes of hospitalised patients

  1. Metabolic syndrome and its components among university students in Kenya.

    Science.gov (United States)

    Mbugua, Samuel Mungai; Kimani, Samuel Thuo; Munyoki, Gilbert

    2017-11-28

    Metabolic syndrome refers to a cluster of interrelated disorders which occur together causing an increase in the risk of developing cardiovascular disease and diabetes. The university population is an understudied group despite the increase in the frequency of related disorders and metabolic risk factors e.g. obesity and diabetes, majorly due to the assumption that they are in their most active phase of life therefore healthy. This study looked at metabolic syndrome, the sedentary lifestyles and dietary habits present among university students attending Mount Kenya University, main campus. Stratified sampling was used to select participants. Self-administered questionnaires were issued to participants after a signed consent had been obtained following which clinical assessments and biochemical measures were performed. They included blood pressure, fasting blood glucose, triglycerides, high density lipoprotein-cholesterol, anthropometric measurements; height, weight, BMI and waist circumference. Pearson's chi-square tests and non-parametric independent t-test were used to analyze the prevalence of metabolic syndrome criteria per gender, the number of metabolic syndrome criteria per BMI and prevalence of metabolic syndrome criteria per BMI category. The study established that 1.9% of the participants met the criteria for diagnosis of metabolic syndrome according to HJSS criteria. Among the elements, there was statistical difference in gender BMI and waist circumference. 11.8% of subjects had two metabolic syndrome components while 3.1% had three components while none of the subjects had all six components. Elevated triglycerides was the most prevalent defining component for metabolic syndrome. There is a statistically significant relationship between sedentary lifestyle and dietary habits as risk factors to metabolic syndrome. Young adults in university have begun developing metabolic syndrome and the risk of developing the syndrome continues to increase with the

  2. Increased Risk of Metabolic Syndrome in Patients with Vitiligo.

    Science.gov (United States)

    Ataş, Hatice; Gönül, Müzeyyen

    2017-05-05

    Inflammatory and immune processes can be triggered in vitiligo due to a decreased number of melanocytes and their anti-inflammatory effects. Because of the systemic nature of vitiligo, metabolic abnormalities such as insulin resistance and lipid profile disturbances as well as skin involvement may be observed in vitiligo. To investigate the association between metabolic syndrome and vitiligo. Case-control study. The demographic, clinical and laboratory features in the subjects were compared according to presence of vitiligo and metabolic syndrome [patients (n=63) vs. gender-age matched controls (n=65) and metabolic syndrome positive (n=38) vs. negative (n=90)]. A logistic regression analysis was also used. We identified metabolic syndrome in 24 (38.1%) subjects with vitiligo and 14 (21.5%) subjects without vitiligo (p=0.04). Active vitiligo, segmental vitiligo, an increased duration of vitiligo and an increased percentage in the affected body surface area were determined to be independent predictors of metabolic syndrome [activity of vitiligo: p=0.012, OR (95% CI)=64.4 (2.5-1672); type of vitiligo: p=0.007, OR (95% CI)=215.1 (4.3-10725.8); duration of vitiligo: p=0.03, OR (95% CI)=1.4 (1.1-2.0); percentage of affected body surface area: p=0.07, OR (95% CI)=1.2 (0.98-1.5)]. The risk of developing metabolic syndrome is increased in patients with vitiligo. The poor clinical features of vitiligo, such as active, extended and segmental vitiligo with an increased duration of time, are independent predictors for developing metabolic syndrome.

  3. The association between metabolic health, obesity phenotype and the risk of breast cancer.

    Science.gov (United States)

    Park, Yong-Moon Mark; White, Alexandra J; Nichols, Hazel B; O'Brien, Katie M; Weinberg, Clarice R; Sandler, Dale P

    2017-06-15

    Beyond the current emphasis on body mass index (BMI), it is unknown whether breast cancer risk differs between metabolically healthy and unhealthy normal weight or overweight/obese women. The Sister Study is a nationwide prospective cohort study. Data came from 50,884 cohort participants aged 35 to 74 years enrolled from 2003 through 2009. Cox proportional hazards models were used to estimate multivariable adjusted hazard ratios (HR) and 95% confidence intervals (CIs) for breast cancer risk. Metabolic abnormalities considered included: high waist circumference (≥88 cm); elevated blood pressure (≥130/85 mm Hg or antihypertensive medication); previously diagnosed diabetes or antidiabetic drug treatment; and cholesterol-lowering medication use. During follow-up (mean, 6.4 years), 1,388 invasive breast cancers were diagnosed at least 1 year after enrollment. Compared to women with BMI women with a BMI women with a BMI ≥25 kg/m 2 and no metabolic abnormalities (metabolically healthy overweight/obese phenotype) (HR = 1.24, 95% CI: 0.99-1.55). Furthermore, risk of postmenopausal breast cancer was consistently elevated in women with normal BMI and central obesity (normal weight central obesity phenotype) regardless of the criterion used to define central obesity, with HR for waist circumference ≥88 cm, waist circumference ≥80 cm, and waist-hip ratio ≥0.85 of 1.58, 95% CI: 1.02-2.46; 1.38, 95% CI: 1.09-1.75; and 1.38, 95% CI: 1.02-1.85, respectively. There was an inverse association between premenopausal breast cancer and metabolically healthy overweight/obese phenotype (HR = 0.71, 95% CI: 0.52-0.97). Our findings suggest that postmenopausal women who are metabolically unhealthy or have central adiposity may be at increased risk for breast cancer despite normal BMI. © 2017 UICC.

  4. [Prevalence of metabolic syndrome and cardiovascular risk in an urban area of Murcia].

    Science.gov (United States)

    Fernández-Ruiz, Virginia E; Paniagua-Urbano, José A; Solé-Agustí, María; Ruiz-Sánchez, Alfonso; Gómez-Marín, José

    2014-11-01

    It is extensive scientific literature that has defined the metabolic syndrome as a precursor of cardiovascular disease. To estimate the prevalence of metabolic syndrome and cardiovascular risk in the population of a basic health area of Murcia. Cross sectional study population of the district health "The Esparragal" random sample of the population between 18 and 86 years living in the area. Personal history were collected and held a relevant clinical, anthropometric data and analytics for the estimation of Metabolic Syndrome and Cardiovascular Risk following criteria dictated by the current literature, adjusted for sex and age. The mean age of the study population was 59.34 ± 14.79 years, with 52.5% males. The overall prevalence of metabolic syndrome criteria World Health Organization is presented 36.8%, a figure increased under International Diabetes Ferderation recommendations to 58.2% and according to National Cholesterol Education Program, an estimated 53.5%. The presentation of this syndrome is slightly higher in men (54.1 versus 52.8 %), and in parallel with increasing age (p < 0.001). The prevalence of people at high risk of cardiovascular disease is 32.1 % (95 % CI 29.4 to 34.8), with 45.2 % (95% CI 41.2 to 49.2) in men and 17.6% (95% CI 14.4 to 20.8) in women. The prevalence of metabolic syndrome and cardiovascular risk in the study population is the highest found in Spain in population studies, indicating an invaluable population on which preventive measures. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

  5. Types of Obesity and Its Association with the Clustering of Cardiovascular Disease Risk Factors in Jilin Province of China

    OpenAIRE

    Zhang, Peng; Wang, Rui; Gao, Chunshi; Song, Yuanyuan; Lv, Xin; Jiang, Lingling; Yu, Yaqin; Wang, Yuhan; Li, Bo

    2016-01-01

    Cardiovascular disease (CVD) has become a serious public health problem in recent years in China. Aggregation of CVD risk factors in one individual increases the risk of CVD and the risk increases substantially with each additional risk factor. This study aims to explore the relationship between the number of clustered CVD risk factors and different types of obesity. A multistage stratified random cluster sampling design was used in this population-based cross-sectional study in 2012. Informa...

  6. Predictive value of body mass index to metabolic syndrome risk factors in Syrian adolescents.

    Science.gov (United States)

    Al-Bachir, Mahfouz; Bakir, Mohamad Adel

    2017-06-25

    Obesity has become a serious epidemic health problem in both developing and developed countries. There is much evidence that obesity among adolescents contributed significantly to the development of type 2 diabetes and coronary heart disease in adulthood. Very limited information exists on the prevalence of overweight, obesity, and associated metabolic risk factors among Syrian adolescents. Therefore, the purpose of this study was to determine the relationship between obesity determined by body mass index and the major metabolic risk factors among Syrian adolescents. A cross-sectional study of a randomly selected sample of 2064 apparently healthy Syrian adolescents aged 18 to 19 years from Damascus city, in Syria, was performed. Body mass index and blood pressure were measured. Serum concentrations of glucose, triglycerides, total cholesterol, high-density lipoprotein-cholesterol, and low-density lipoprotein-cholesterol were determined. Metabolic syndrome was defined using the national criteria for each determined metabolic risk factor. Individuals with a body mass index 25 to 29.9 were classified as overweight, whereas individuals with a body mass index ≥30 were classified as obese. A receiver operating characteristics curve was drawn to determine appropriate cut-off points of the body mass index for defining overweight and obesity, and to indicate the performance of body mass index as a predictor of risk factors. The obtained data showed that blood pressure and the overall mean concentrations of fasting blood sugar, triglycerides, cholesterol, low-density lipoprotein-cholesterol, and triglycerides/high-density lipoprotein-cholesterol were significantly higher in overweight and obese adolescent groups (p index and some metabolic risks, the data suggest the best body mass index cut-offs ranged between 23.25 and 24.35 kg/m 2 . A strong association between overweight and obesity as determined by body mass index and high concentrations of metabolic syndrome

  7. Clustering of Risk Factors for Non-Communicable Diseases among Adolescents from Southern Brazil.

    Directory of Open Access Journals (Sweden)

    Heloyse Elaine Gimenes Nunes

    Full Text Available The aim of this study was to investigate the simultaneous presence of risk factors for non-communicable diseases and the association of these risk factors with demographic and economic factors among adolescents from southern Brazil.The study included 916 students (14-19 years old enrolled in the 2014 school year at state schools in São José, Santa Catarina, Brazil. Risk factors related to lifestyle (i.e., physical inactivity, excessive alcohol consumption, smoking, sedentary behaviour and unhealthy diet, demographic variables (sex, age and skin colour and economic variables (school shift and economic level were assessed through a questionnaire. Simultaneous behaviours were assessed by the ratio between observed and expected prevalences of risk factors for non-communicable diseases. The clustering of risk factors was analysed by multinomial logistic regression. The clusters of risk factors that showed a higher prevalence were analysed by binary logistic regression.The clustering of two, three, four, and five risk factors were found in 22.2%, 49.3%, 21.7% and 3.1% of adolescents, respectively. Subgroups that were more likely to have both behaviours of physical inactivity and unhealthy diet simultaneously were mostly composed of girls (OR = 3.03, 95% CI = 1.57-5.85 and those with lower socioeconomic status (OR = 1.83, 95% CI = 1.05-3.21; simultaneous physical inactivity, excessive alcohol consumption, sedentary behaviour and unhealthy diet were mainly observed among older adolescents (OR = 1.49, 95% CI = 1.05-2.12. Subgroups less likely to have both behaviours of sedentary behaviour and unhealthy diet were mostly composed of girls (OR = 0.58, 95% CI = 0.38-0.89; simultaneous physical inactivity, sedentary behaviour and unhealthy diet were mainly observed among older individuals (OR = 0.66, 95% CI = 0.49-0.87 and those of the night shift (OR = 0.59, 95% CI = 0.43-0.82.Adolescents had a high prevalence of simultaneous risk factors for NCDs

  8. Clustering of Risk Factors for Non-Communicable Diseases among Adolescents from Southern Brazil.

    Science.gov (United States)

    Nunes, Heloyse Elaine Gimenes; Gonçalves, Eliane Cristina de Andrade; Vieira, Jéssika Aparecida Jesus; Silva, Diego Augusto Santos

    2016-01-01

    The aim of this study was to investigate the simultaneous presence of risk factors for non-communicable diseases and the association of these risk factors with demographic and economic factors among adolescents from southern Brazil. The study included 916 students (14-19 years old) enrolled in the 2014 school year at state schools in São José, Santa Catarina, Brazil. Risk factors related to lifestyle (i.e., physical inactivity, excessive alcohol consumption, smoking, sedentary behaviour and unhealthy diet), demographic variables (sex, age and skin colour) and economic variables (school shift and economic level) were assessed through a questionnaire. Simultaneous behaviours were assessed by the ratio between observed and expected prevalences of risk factors for non-communicable diseases. The clustering of risk factors was analysed by multinomial logistic regression. The clusters of risk factors that showed a higher prevalence were analysed by binary logistic regression. The clustering of two, three, four, and five risk factors were found in 22.2%, 49.3%, 21.7% and 3.1% of adolescents, respectively. Subgroups that were more likely to have both behaviours of physical inactivity and unhealthy diet simultaneously were mostly composed of girls (OR = 3.03, 95% CI = 1.57-5.85) and those with lower socioeconomic status (OR = 1.83, 95% CI = 1.05-3.21); simultaneous physical inactivity, excessive alcohol consumption, sedentary behaviour and unhealthy diet were mainly observed among older adolescents (OR = 1.49, 95% CI = 1.05-2.12). Subgroups less likely to have both behaviours of sedentary behaviour and unhealthy diet were mostly composed of girls (OR = 0.58, 95% CI = 0.38-0.89); simultaneous physical inactivity, sedentary behaviour and unhealthy diet were mainly observed among older individuals (OR = 0.66, 95% CI = 0.49-0.87) and those of the night shift (OR = 0.59, 95% CI = 0.43-0.82). Adolescents had a high prevalence of simultaneous risk factors for NCDs. Demographic

  9. Genetic risk scores link body fat distribution with specific cardiometabolic profiles

    DEFF Research Database (Denmark)

    Svendstrup, Mathilde; Sandholt, Camilla H; Andersson Galijatovic, Ehm Astrid

    2016-01-01

    , including fasting serum triglyceride (β = 0.98% mmol/L, P = 3.33 × 10(-) (8) ) and Matsuda index (β = -0.74%, P = 1.29 × 10(-) (4) ). No similar associations for Clusters 2 and 3 were found. The three clusters showed different patterns of association with waist circumference, hip circumference, and height......OBJECTIVE: Forty-nine known single nucleotide polymorphisms (SNPs) associating with body mass index (BMI)-adjusted waist-hip-ratio (WHR) (WHRadjBMI) were recently suggested to cluster into three groups with different associations to cardiometabolic traits. Genetic risk scores of the clusters...... risk scores and anthropometry and blood samples at fasting and during an oral glucose tolerance test were tested. Analyses were adjusted for age, sex, and BMI. RESULTS: Cluster 1 associated with an increased risk of diabetes (HR = 1.05, P = 2.74 × 10(-) (4) ) and with a poor metabolic profile...

  10. Familial aggregation and linkage analysis with covariates for metabolic syndrome risk factors.

    Science.gov (United States)

    Naseri, Parisa; Khodakarim, Soheila; Guity, Kamran; Daneshpour, Maryam S

    2018-06-15

    Mechanisms of metabolic syndrome (MetS) causation are complex, genetic and environmental factors are important factors for the pathogenesis of MetS In this study, we aimed to evaluate familial and genetic influences on metabolic syndrome risk factor and also assess association between FTO (rs1558902 and rs7202116) and CETP(rs1864163) genes' single nucleotide polymorphisms (SNP) with low HDL_C in the Tehran Lipid and Glucose Study (TLGS). The design was a cross-sectional study of 1776 members of 227 randomly-ascertained families. Selected families contained at least one affected metabolic syndrome and at least two members of the family had suffered a loss of HDL_C according to ATP III criteria. In this study, after confirming the familial aggregation with intra-trait correlation coefficients (ICC) of Metabolic syndrome (MetS) and the quantitative lipid traits, the genetic linkage analysis of HDL_C was performed using conditional logistic method with adjusted sex and age. The results of the aggregation analysis revealed a higher correlation between siblings than between parent-offspring pairs representing the role of genetic factors in MetS. In addition, the conditional logistic model with covariates showed that the linkage results between HDL_C and three marker, rs1558902, rs7202116 and rs1864163 were significant. In summary, a high risk of MetS was found in siblings confirming the genetic influences of metabolic syndrome risk factor. Moreover, the power to detect linkage increases in the one parameter conditional logistic model regarding the use of age and sex as covariates. Copyright © 2018. Published by Elsevier B.V.

  11. [Risk factors for metabolic syndrome in a case control study in Temuco, Chile].

    Science.gov (United States)

    Philco L, Patricia; Serón S, Pamela; Muñoz N, Sergio; Navia B, Pilar; Lanas Z, Fernando

    2012-03-01

    Metabolic syndrome is becoming an important public health problem in affluent societies. To identify factors associated to metabolic syndrome in a Southern Chilean city. Using a case control design, 200 participants, aged 35 to 70 years with at least three criteria for metabolic syndrome according to the National Cholesterol Education Program (NCEP_ATPIII) and 200 subjects with less than three criteria, were studied. Both groups were compared in terms of ethnic background, educational level, family history of diabetes and coronary artery disease, menopausal status, smoking, stress and depression, physical activity, changes in body mass index in the last five years and diet. Among subjects aged more than 54 years, among males and among overweight individuals, having a Mapuche origin was a risk factor with odds ratios (OR) of 7.2; 88 and 3.9 respectively. Among subjects aged more than 54 years, among women and among overweight individuals, a family history of diabetes was a risk factor with OR of 17.7; 3.2 and 3.9 respectively. Among subjects aged more than 54 years and among women a change in body mass index of more than three points was a risk factor with OR of 12.5 and 7.4, respectively. Depression also was a risk factor among subjects aged more than 54 years (OR 3.3). Regular consumption of wine was a protective factor among participants of more than 54 years, with an OR of 0.17. The risk factors for metabolic syndrome detected in this group of participants, were having a Mapuche origin, a family history of diabetes mellitus and depression. Wine consumption was associated with a lower risk.

  12. Snus use during the life-course and risk of the metabolic syndrome and its components.

    Science.gov (United States)

    Byhamre, Marja Lisa; Gustafsson, Per E; Jansson, Jan-Håkan; Wennberg, Maria; Hammarström, Anne; Wennberg, Patrik

    2017-12-01

    We aimed to investigate the association between life-course exposure to snus and prevalence of the metabolic syndrome and its components in adulthood. Tobacco habits at baseline (age 16) and three follow-ups (ages 21, 30 and 43) were assessed among 880 participants in a population-based cohort in Northern Sweden. Presence of the metabolic syndrome at age 43 was ascertained using the International Diabetes Federation criteria. Odds ratios and CIs for risk of the metabolic syndrome and its components by snus use at 16, 21, 30 and 43 years were calculated using logistic regression. Cumulative snus use was defined as number of life periods (1-4) with current snus use. At age 43, 164 participants (18.6%) were current snus users. We found no association between exclusive snus use at the ages of 16, 21, 30 and 43 years and the metabolic syndrome at age 43 years. Snus use (among non-smokers) was associated with raised triglycerides and high blood pressure in crude analysis, but not in multivariable models. There was no association between cumulative snus use and risk of the metabolic syndrome. Cumulative snus use was associated with central obesity, raised triglycerides and impaired fasting glucose/diabetes mellitus type 2 in crude analyses, but not after adjustments. The health consequences of snus exposure from adolescence to mid-adulthood do not seem to include increased risk of the metabolic syndrome or its components. The cardio-metabolic risk of dual exposure to snus and cigarettes may warrant further attention.

  13. Racial and ethnic differences in the prevalence of metabolic syndrome and its components of metabolic syndrome in women with polycystic ovary syndrome: a regional cross-sectional study.

    Science.gov (United States)

    Chan, Jessica L; Kar, Sujata; Vanky, Eszter; Morin-Papunen, Laure; Piltonen, Terhi; Puurunen, Johanna; Tapanainen, Juha S; Maciel, Gustavo Arantes Rosa; Hayashida, Sylvia Asaka Yamashita; Soares, Jose Maria; Baracat, Edmund Chada; Mellembakken, Jan Roar; Dokras, Anuja

    2017-08-01

    Polycystic ovary syndrome is a heterogeneous disorder and its presentation varies with race and ethnicity. Reproductive-age women with polycystic ovary syndrome are at increased risk of metabolic syndrome; however, it is not clear if prevalence of metabolic syndrome and clustering of its components differs based on race and ethnicity. Moreover, the majority of these women do not undergo routine screening for metabolic syndrome. We sought to compare the prevalence of metabolic syndrome and clustering of its components in women with polycystic ovary syndrome in the United States with women in India, Brazil, Finland, and Norway. This is a cross-sectional study performed in 1089 women with polycystic ovary syndrome from 1999 through 2016 in 5 outpatient clinics in the United States, India, Brazil, Finland, and Norway. Polycystic ovary syndrome was defined by the Rotterdam criteria. Main outcome measures were: metabolic syndrome prevalence, blood pressure, body mass index, fasting high-density lipoprotein cholesterol, fasting triglycerides, and fasting glucose. Data from all sites were reevaluated for appropriate application of diagnostic criteria for polycystic ovary syndrome, identification of polycystic ovary syndrome phenotype, and complete metabolic workup. The US White women with polycystic ovary syndrome were used as the referent group. Logistic regression models were used to evaluate associations between race and metabolic syndrome prevalence and its components and to adjust for potential confounders, including age and body mass index. The median age of the entire cohort was 28 years. Women from India had the highest mean Ferriman-Gallwey score for clinical hyperandrogenism (15.6 ± 6.5, P metabolic syndrome was highest in US Black women at 4.52 (95% confidence interval, 2.46-8.35) compared with US White women. When adjusted for age and body mass index, the prevalence was similar in the 2 groups. Significantly more Black women met body mass index and blood

  14. The Risk of Metabolic Syndrome among Institutionalized Adults with Intellectual Disabilities

    Science.gov (United States)

    Hsu, Shang-Wei; Yen, Chia-Feng; Hung, Wen-Jui; Lin, Lam-Ping; Wu, Chia-Ling; Lin, Jin-Ding

    2012-01-01

    People with metabolic syndrome (MS) are at increased risk of coronary heart disease and other health problems, such as diabetes and stroke. However, there is little previous information on the prevalence and determinants of MS among people with intellectual disabilities (IDs). The present study aimed to examine the prevalence of MS risk factors…

  15. Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

    OpenAIRE

    Chen, Hui; Xiong, Shenghua; Ren, Xuan

    2014-01-01

    Metabolic syndrome is worldwide public health problem and is a serious threat to people's health and lives. Understanding the relationship between metabolic syndrome and the physical symptoms is a difficult and challenging task, and few studies have been performed in this field. It is important to classify adults who are at high risk of metabolic syndrome without having to use a biochemical index and, likewise, it is important to develop technology that has a high economic rate of return to s...

  16. The study on risk factor of metabolic diseases in pancreatic steatosis

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Jin Young; Ye, Soo Young; Kim, Dong Hyun [Dept. of Radiological Science, College of Health Sciences, Catholic University of Pusan, Busan (Korea, Republic of)

    2016-03-15

    The body of the fat tissue increased in obese represented by risk factors such as cardiovascular diseases, diabetes, metabolic disease and dyslipidemia. Such metabolic diseases and the like of the cardiovascular and cerebrovascular disease, hypertension, dyslipidemia, increase in the adipose tissue of the pancreas is known to be a risk factor of these diseases. Study on the diagnosis and treatment of pancreatic cancer was conducted actively, case studies on pancreatic steatosis is not much. In this study, divided into a control group diagnosed with pancreatic steatosis as a result of ultrasonography to evaluation the physical characteristics and serologic tests and blood pressure and arterial stiffness. The control group and the test pancreas steatosis age and waist circumference, body mass index, total cholesterol, HDL cholesterol, LDL cholesterol, and systolic and diastolic blood pressure, fasting blood glucose, arterial elasticity is higher in pancreatic steatosis. And the lower ankle brachial stenosis and HDLcholesterol were lower than the normal control group, so the pancreatic steatosis harmful to blood vessels.(P <0.05). The difference between the control group and it was confirmed that the pancreatic jibanggun statistically significant. In conclusion, pancreatic steatosis at abdominal ultrasound can predict the risk of metabolic diseases, and there was a correlation with cardiovascular disease.

  17. The study on risk factor of metabolic diseases in pancreatic steatosis

    International Nuclear Information System (INIS)

    Cho, Jin Young; Ye, Soo Young; Kim, Dong Hyun

    2016-01-01

    The body of the fat tissue increased in obese represented by risk factors such as cardiovascular diseases, diabetes, metabolic disease and dyslipidemia. Such metabolic diseases and the like of the cardiovascular and cerebrovascular disease, hypertension, dyslipidemia, increase in the adipose tissue of the pancreas is known to be a risk factor of these diseases. Study on the diagnosis and treatment of pancreatic cancer was conducted actively, case studies on pancreatic steatosis is not much. In this study, divided into a control group diagnosed with pancreatic steatosis as a result of ultrasonography to evaluation the physical characteristics and serologic tests and blood pressure and arterial stiffness. The control group and the test pancreas steatosis age and waist circumference, body mass index, total cholesterol, HDL cholesterol, LDL cholesterol, and systolic and diastolic blood pressure, fasting blood glucose, arterial elasticity is higher in pancreatic steatosis. And the lower ankle brachial stenosis and HDLcholesterol were lower than the normal control group, so the pancreatic steatosis harmful to blood vessels.(P <0.05). The difference between the control group and it was confirmed that the pancreatic jibanggun statistically significant. In conclusion, pancreatic steatosis at abdominal ultrasound can predict the risk of metabolic diseases, and there was a correlation with cardiovascular disease

  18. IMG-ABC: new features for bacterial secondary metabolism analysis and targeted biosynthetic gene cluster discovery in thousands of microbial genomes.

    Science.gov (United States)

    Hadjithomas, Michalis; Chen, I-Min A; Chu, Ken; Huang, Jinghua; Ratner, Anna; Palaniappan, Krishna; Andersen, Evan; Markowitz, Victor; Kyrpides, Nikos C; Ivanova, Natalia N

    2017-01-04

    Secondary metabolites produced by microbes have diverse biological functions, which makes them a great potential source of biotechnologically relevant compounds with antimicrobial, anti-cancer and other activities. The proteins needed to synthesize these natural products are often encoded by clusters of co-located genes called biosynthetic gene clusters (BCs). In order to advance the exploration of microbial secondary metabolism, we developed the largest publically available database of experimentally verified and predicted BCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc/). Here, we describe an update of IMG-ABC, which includes ClusterScout, a tool for targeted identification of custom biosynthetic gene clusters across 40 000 isolate microbial genomes, and a new search capability to query more than 700 000 BCs from isolate genomes for clusters with similar Pfam composition. Additional features enable fast exploration and analysis of BCs through two new interactive visualization features, a BC function heatmap and a BC similarity network graph. These new tools and features add to the value of IMG-ABC's vast body of BC data, facilitating their in-depth analysis and accelerating secondary metabolite discovery. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

  19. The relation of vitamin D, metabolic risk and negative symptom severity in people with psychotic disorders

    NARCIS (Netherlands)

    Bruins, J.; Jörg, F.; van den Heuvel, E.R.; Bartels-Velthuis, A.A.; Corpeleijn, E.; Muskiet, F.A.J.; Pijnenborg, G.H.M.; Bruggeman, R.

    2018-01-01

    People with psychotic disorders have an increased metabolic risk and their mean life expectancy is reduced with circa 28 years (Olfson et al., 2015).Predictors of this increased metabolic risk are genetic predisposition (Liu et al., 2013), lifestyle factors such as unhealthy diet, physical

  20. Co-variations and clustering of chronic disease behavioral risk factors in China: China Chronic Disease and Risk Factor Surveillance, 2007.

    Directory of Open Access Journals (Sweden)

    Yichong Li

    Full Text Available BACKGROUND: Chronic diseases have become the leading causes of mortality in China and related behavioral risk factors (BRFs changed dramatically in past decades. We aimed to examine the prevalence, co-variations, clustering and the independent correlates of five BRFs at the national level. METHODOLOGY/PRINCIPAL FINDINGS: We used data from the 2007 China Chronic Disease and Risk Factor Surveillance, in which multistage clustering sampling was adopted to collect a nationally representative sample of 49,247 Chinese aged 15 to 69 years. We estimated the prevalence and clustering (mean number of BRFs of five BRFs: tobacco use, excessive alcohol drinking, insufficient intake of vegetable and fruit, physical inactivity, and overweight or obesity. We conducted binary logistic regression models to examine the co-variations among five BRFs with adjustment of demographic and socioeconomic factors, chronic conditions and other BRFs. Ordinal logistic regression was constructed to investigate the independent associations between each covariate and the clustering of BRFs within individuals. Overall, 57.0% of Chinese population had at least two BRFs and the mean number of BRFs is 1.80 (95% confidence interval: 1.78-1.83. Eight of the ten pairs of bivariate associations between the five BRFs were found statistically significant. Chinese with older age, being a male, living in rural areas, having lower education level and lower yearly household income experienced increased likelihood of having more BRFs. CONCLUSIONS/SIGNIFICANCE: Current BRFs place the majority of Chinese aged 15 to 69 years at risk for the future development of chronic disease, which calls for urgent public health programs to reduce these risk factors. Prominent correlations between BRFs imply that a combined package of interventions targeting multiple BRFs might be appropriate. These interventions should target elder population, men, and rural residents, especially those with lower SES.

  1. Stress, autonomic imbalance, and the prediction of metabolic risk: A model and a proposal for research.

    Science.gov (United States)

    Wulsin, Lawson; Herman, James; Thayer, Julian F

    2018-03-01

    Devising novel prevention strategies for metabolic disorders will depend in part on the careful elucidation of the common pathways for developing metabolic risks. The neurovisceral integration model has proposed that autonomic imbalance plays an important role in the pathway from acute and chronic stress to cardiovascular disease. Though generally overlooked by clinicians, autonomic imbalance (sympathetic overactivity and/or parasympathetic underactivity) can be measured and modified by methods that are available in primary care. This review applies the neurovisceral integration concept to the clinical setting by proposing that autonomic imbalance plays a primary role in the development of metabolic risks. We present a testable model, a systematic review of the evidence in support of autonomic imbalance as a predictor for metabolic risks, and specific approaches to test this model as a guide to future research on the role of stress in metabolic disorders. We propose that autonomic imbalance deserves consideration by researchers, clinicians, and policymakers as a target for early interventions to prevent metabolic disorders. Published by Elsevier Ltd.

  2. Significantly increased risk of carotid atherosclerosis with arsenic exposure and polymorphisms in arsenic metabolism genes

    International Nuclear Information System (INIS)

    Hsieh, Yi-Chen; Lien, Li-Ming; Chung, Wen-Ting; Hsieh, Fang-I; Hsieh, Pei-Fan; Wu, Meei-Maan; Tseng, Hung-Pin; Chiou, Hung-Yi; Chen, Chien-Jen

    2011-01-01

    Individual susceptibility to arsenic-induced carotid atherosclerosis might be associated with genetic variations in arsenic metabolism. The purpose of this study is to explore the interaction effect on risk of carotid atherosclerosis between arsenic exposure and risk genotypes of purine nucleoside phosphorylase (PNP), arsenic (+3) methyltransferase (As3MT), and glutathione S-transferase omega 1 (GSTO1) and omega 2 (GSTO2). A community-based case-control study was conducted in northeastern Taiwan to investigate the arsenic metabolic-related genetic susceptibility to carotid atherosclerosis. In total, 863 subjects, who had been genotyped and for whom the severity of carotid atherosclerosis had been determined, were included in the present study. Individual well water was collected and arsenic concentration determined using hydride generation combined with flame atomic absorption spectrometry. The result showed that a significant dose-response trend (P=0.04) of carotid atherosclerosis risk associated with increasing arsenic concentration. Non-significant association between genetic polymorphisms of PNP Gly51Ser, Pro57Pro, As3MT Met287Thr, GSTO1 Ala140Asp, and GSTO2 A-183G and the risk for development of carotid atherosclerosis were observed. However, the significant interaction effect on carotid atherosclerosis risk was found for arsenic exposure (>50 μg/l) and the haplotypes of PNP (p=0.0115). A marked elevated risk of carotid atherosclerosis was observed in subjects with arsenic exposure of >50 μg/l in drinking water and those who carried the PNP A-T haplotype and at least either of the As3MT risk polymorphism or GSTO risk haplotypes (OR, 6.43; 95% CI, 1.79-23.19). In conclusion, arsenic metabolic genes, PNP, As3MT, and GSTO, may exacerbate the formation of atherosclerosis in individuals with high levels of arsenic concentration in well water (>50 μg/l). - Highlights: →Arsenic metabolic genes might be associated with carotid atherosclerosis. → A case

  3. Significantly increased risk of carotid atherosclerosis with arsenic exposure and polymorphisms in arsenic metabolism genes

    Energy Technology Data Exchange (ETDEWEB)

    Hsieh, Yi-Chen [School of Public Health, College of Public Health and Nutrition, Taipei Medical University, 250 Wusing St., Taipei 11031, Taiwan (China); Lien, Li-Ming [Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (China); School of Medicine, Taipei Medical University, Taipei, Taiwan (China); Department of Neurology, Shin Kong WHS Memorial Hospital, Taipei, Taiwan (China); Chung, Wen-Ting [Department of Neurology, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan (China); Graduate Institute of Clinical Medicine, Taipei Medical University, Taipei, Taiwan (China); Hsieh, Fang-I; Hsieh, Pei-Fan [School of Public Health, College of Public Health and Nutrition, Taipei Medical University, 250 Wusing St., Taipei 11031, Taiwan (China); Wu, Meei-Maan [School of Public Health, College of Public Health and Nutrition, Taipei Medical University, 250 Wusing St., Taipei 11031, Taiwan (China); Graduate Institute of Basic Medicine, College of Medicine, Fu-Jen Catholic University, Taipei, Taiwan (China); Tseng, Hung-Pin [Department of Neurology, Lotung Poh-Ai Hospital, I-Lan, Taiwan (China); Chiou, Hung-Yi, E-mail: hychiou@tmu.edu.tw [School of Public Health, College of Public Health and Nutrition, Taipei Medical University, 250 Wusing St., Taipei 11031, Taiwan (China); Chen, Chien-Jen [Genomics Research Center, Academia Sinica, Taipei, Taiwan (China)

    2011-08-15

    Individual susceptibility to arsenic-induced carotid atherosclerosis might be associated with genetic variations in arsenic metabolism. The purpose of this study is to explore the interaction effect on risk of carotid atherosclerosis between arsenic exposure and risk genotypes of purine nucleoside phosphorylase (PNP), arsenic (+3) methyltransferase (As3MT), and glutathione S-transferase omega 1 (GSTO1) and omega 2 (GSTO2). A community-based case-control study was conducted in northeastern Taiwan to investigate the arsenic metabolic-related genetic susceptibility to carotid atherosclerosis. In total, 863 subjects, who had been genotyped and for whom the severity of carotid atherosclerosis had been determined, were included in the present study. Individual well water was collected and arsenic concentration determined using hydride generation combined with flame atomic absorption spectrometry. The result showed that a significant dose-response trend (P=0.04) of carotid atherosclerosis risk associated with increasing arsenic concentration. Non-significant association between genetic polymorphisms of PNP Gly51Ser, Pro57Pro, As3MT Met287Thr, GSTO1 Ala140Asp, and GSTO2 A-183G and the risk for development of carotid atherosclerosis were observed. However, the significant interaction effect on carotid atherosclerosis risk was found for arsenic exposure (>50 {mu}g/l) and the haplotypes of PNP (p=0.0115). A marked elevated risk of carotid atherosclerosis was observed in subjects with arsenic exposure of >50 {mu}g/l in drinking water and those who carried the PNP A-T haplotype and at least either of the As3MT risk polymorphism or GSTO risk haplotypes (OR, 6.43; 95% CI, 1.79-23.19). In conclusion, arsenic metabolic genes, PNP, As3MT, and GSTO, may exacerbate the formation of atherosclerosis in individuals with high levels of arsenic concentration in well water (>50 {mu}g/l). - Highlights: {yields}Arsenic metabolic genes might be associated with carotid atherosclerosis. {yields

  4. Basal metabolic rate and risk-taking behaviour in birds.

    Science.gov (United States)

    Møller, A P

    2009-12-01

    Basal metabolic rate (BMR) constitutes the minimal metabolic rate in the zone of thermo-neutrality, where heat production is not elevated for temperature regulation. BMR thus constitutes the minimum metabolic rate that is required for maintenance. Interspecific variation in BMR in birds is correlated with food habits, climate, habitat, flight activity, torpor, altitude, and migration, although the selective forces involved in the evolution of these presumed adaptations are not always obvious. I suggest that BMR constitutes the minimum level required for maintenance, and that variation in this minimum level reflects the fitness costs and benefits in terms of ability to respond to selective agents like predators, implying that an elevated level of BMR is a cost of wariness towards predators. This hypothesis predicts a positive relationship between BMR and measures of risk taking such as flight initiation distance (FID) of individuals approached by a potential predator. Consistent with this suggestion, I show in a comparative analysis of 76 bird species that species with higher BMR for their body mass have longer FID when approached by a potential predator. This effect was independent of potentially confounding variables and similarity among species due to common phylogenetic descent. These results imply that BMR is positively related to risk-taking behaviour, and that predation constitutes a neglected factor in the evolution of BMR.

  5. Associations of cardiovascular risk factors in Al Ain- United Arab Emirates

    Directory of Open Access Journals (Sweden)

    Nazirudeen Mohammad K

    2009-04-01

    Full Text Available Abstract Background Over the last 30 years the citizens of the United Arab Emirates have experienced major changes in life-style secondary to increased affluence. Currently, 1 in 5 adults have diabetes mellitus, but the associations (clustering among risk factors, as well as the relevance of the concept of the metabolic syndrome, in this population is unknown. Aim To investigate the prevalence and associations among cardiovascular risk factors in this population, and explore to what extent associations can be explained by the metabolic syndrome according to ATP-III criteria. Method A community based survey, of conventional risk factors for cardiovascular disease was conducted among 817 national residents of Al Ain city, UAE. These factors were fasting blood sugar, blood pressure, lipid profile, BMI, waist circumference, smoking, or CHD family history. Odds ratios between risks factors, both unadjusted and adjusted for age and sex as well as adjusted for age, sex, and metabolic syndrome were calculated. Results Various risk factors were positively associated in this population; associations that are mostly unexplained by confounding by age and sex. For example, hypertension and diabetes were still strongly related (OR 2.5; 95% CI 1.7–3.7 after adjustment. An increased waist circumference showed similar relationship with hypertension (OR 2.3; 95% CI 1.5–3.5. Diabetes was related to an increased BMI (OR 1.5; 96% CI 1.0–2.3. Smoking was also associated with diabetes (OR 1.9, 95% CI 1.0–3.3. Further adjustment for metabolic syndrome reduced some associations but several remained. Conclusion In this population risk-factors cluster, but associations do not appear to be explained by the presence/absence of the ATP-III metabolic syndrome. Associations provide valuable information in planning interventions for screening and management.

  6. Associations of cardiovascular risk factors in Al Ain- United Arab Emirates

    Science.gov (United States)

    Baynouna, Latifa M; Revel, Anthony D; Nagelkerke, Nico JD; Jaber, Tariq M; Omar, Aziza O; Ahmed, Nader M; Nazirudeen, Mohammad K; Al Sayed, Mamdouh F; Nour, Fuad A; Abdouni, Sameh

    2009-01-01

    Background Over the last 30 years the citizens of the United Arab Emirates have experienced major changes in life-style secondary to increased affluence. Currently, 1 in 5 adults have diabetes mellitus, but the associations (clustering) among risk factors, as well as the relevance of the concept of the metabolic syndrome, in this population is unknown. Aim To investigate the prevalence and associations among cardiovascular risk factors in this population, and explore to what extent associations can be explained by the metabolic syndrome according to ATP-III criteria. Method A community based survey, of conventional risk factors for cardiovascular disease was conducted among 817 national residents of Al Ain city, UAE. These factors were fasting blood sugar, blood pressure, lipid profile, BMI, waist circumference, smoking, or CHD family history. Odds ratios between risks factors, both unadjusted and adjusted for age and sex as well as adjusted for age, sex, and metabolic syndrome were calculated. Results Various risk factors were positively associated in this population; associations that are mostly unexplained by confounding by age and sex. For example, hypertension and diabetes were still strongly related (OR 2.5; 95% CI 1.7–3.7) after adjustment. An increased waist circumference showed similar relationship with hypertension (OR 2.3; 95% CI 1.5–3.5). Diabetes was related to an increased BMI (OR 1.5; 96% CI 1.0–2.3). Smoking was also associated with diabetes (OR 1.9, 95% CI 1.0–3.3). Further adjustment for metabolic syndrome reduced some associations but several remained. Conclusion In this population risk-factors cluster, but associations do not appear to be explained by the presence/absence of the ATP-III metabolic syndrome. Associations provide valuable information in planning interventions for screening and management. PMID:19371412

  7. Association of adiponectin promoter variants with traits and clusters of metabolic syndrome in Arabs: family-based study.

    Science.gov (United States)

    Zadjali, F; Al-Yahyaee, S; Hassan, M O; Albarwani, S; Bayoumi, R A

    2013-09-25

    Plasma levels of adiponectin are decreased in type 2 diabetes, obesity and hypertension. Our aim was to use a family-based analysis to identify the genetic variants of the adiponectin (ADIPOQ) gene that are associated with obesity, insulin resistance, dyslipidemia and hypertension, among Arabs. We screened 328 Arabs in one large extended family for single nucleotide polymorphisms (SNPs) in the promoter region of the ADIPOQ gene. Two common SNPs were detected: rs17300539 and rs266729. Evidences of association between traits related to the metabolic syndrome and the SNPs were studied by implementing quantitative genetic association analysis. Results showed that SNP rs266729 was significantly associated with body weight (p-value=0.001), waist circumference (p-value=0.037), BMI (p-value=0.015) and percentage of total body fat (p-value=0.003). Up to 4.1% of heritability of obesity traits was explained by the rs266729 locus. Further cross-sectional analysis showed that carriers of the G allele had significantly higher values of waist circumference, BMI and percentage of total body fat (p-values 0.014, 0.004 and 0.032, respectively). No association was detected between SNP rs266729 and other clusters of metabolic syndrome or their traits except for HOMA-IR and fasting plasma insulin levels, p-values 0.035 and 0.004, respectively. In contrast, both measured genotype and cross-sectional analysis failed to detect an association between the SNP rs17300539 with traits and clusters of metabolic syndrome. In conclusion, we showed family-based evidence of association of SNP rs266729 at ADIPOQ gene with traits defining obesity in Arab population. This is important for future prediction and prevention of obesity in population where obesity is in an increasing trend. © 2013 Elsevier B.V. All rights reserved.

  8. Is cardiovascular risk in women with PCOS a real risk? Current insights.

    Science.gov (United States)

    Papadakis, Georgios; Kandaraki, Eleni; Papalou, Olga; Vryonidou, Andromachi; Diamanti-Kandarakis, Evanthia

    2017-12-01

    Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in reproductive aged women. PCOS incorporates not only symptoms related to the reproductive system but also a clustering of systemic metabolic abnormalities that are linked with increased risk for cardiovascular disease (CVD). More specifically, metabolic aberrations such as impaired glucose and lipid metabolism, accompanied by increased low-grade inflammation as well as elevated coagulation factors appear to contribute to the increased cardiovascular risk. Even though many studies have indicated a rise in surrogate biomarkers of CVD in women with PCOS, it is still doubtful to what extent and magnitude this elevation can be translated to real cardiovascular events. Furthermore, the cardiovascular risk factors appear to vary significantly in the different phenotypes of the syndrome. Women with PCOS have the potential for early atherosclerosis, myocardial and endothelial dysfunction. Whether PCOS women are at real cardiovascular risk compared to controls remains between the verge of theoretical and real threat for the PCOS women at any age but particularly in the post-menopausal state. Interestingly, although the presence of the CVD risk factors is well documented in PCOS women, their combination on different phenotypes may play a role, which eventually results in a spectrum of clinical manifestations of CVD with variable degree of severity. The present manuscript aims to review the interaction between PCOS and the combination of several cardiovascular risk factors.

  9. Obese with higher FNDC5/Irisin levels have a better metabolic profile, lower lipopolysaccharide levels and type 2 diabetes risk.

    Science.gov (United States)

    Bonfante, Ivan Luiz Padilha; Chacon-Mikahil, Mara Patricia Traina; Brunelli, Diego Trevisan; Gáspari, Arthur Fernandes; Duft, Renata Garbellini; Oliveira, Alexandre Gabarra; Araujo, Tiago Gomes; Saad, Mario Jose Abdalla; Cavaglieri, Cláudia Regina

    2017-12-01

    Thus, the aim of this study was to compare if higher or smaller fibronectin type 3 domain-containing protein 5 (FNDC5)/irisin levels are associated with inflammatory and metabolic markers, caloric/macronutrient intake, physical fitness and type 2 diabetes mellitus (T2DM) risk in obese middle-aged men, and also to correlate all variables analyzed with FNDC5/irisin. On the basis of a cluster study, middle-aged obese men (IMC: 31.01 ± 1.64 kg/m2) were divided into groups of higher and smaller levels of FNDC5/irisin. The levels of leptin, resistin, adiponectin, tumor necrosis factor alpha (TNFα), interleukin 6 and 10 (IL6, IL10), lipopolysaccharide (LPS), glucose, insulin, glycated hemoglobin, insulin resistance and sensibility, lipid profile, risk of T2DM development, body composition, rest energy expenditure, caloric/macronutrient intake and physical fitness were measured. The higher FNDC5/ irisin group presented improved insulin sensibility (homeostasis model assessment - sensibility (HOMA-S) (p = 0.01) and QUICKI index (p risk of T2DM development (p = 0.02), tendency to decrease serum resistin (p = 0.08) and significant lower LPS levels (p = 0.02). Inverse correlations between FNDC5/irisin and body weight (r -0.46, p = 0.04), neck circumference (r -0.51, p = 0.02), free fat mass (r -0.49, p = 0.02), triglycerides (r -0.43, p = 0.05) and risk of developing T2DM (r -0.61, p = 0.04) were observed. These results suggest that higher FNDC5/irisin levels in obese middle-aged men are related to a better metabolic profile and lower risk of T2DM development and serum LPS, a potential inducer of insulin resistance.

  10. Metabolic syndrome as a risk factor for hypertension after preeclampsia

    NARCIS (Netherlands)

    Spaan, J.J.; Sep, S.J.; van Balen, V.L.; Spaanderman, M.E.A.; Peeters, L.L.

    2012-01-01

    OBJECTIVE: To identify metabolic and obstetric risk factors associated with hypertension after preeclampsia. METHODS: We analyzed demographic and clinical data from a postpartum screening (blood pressure, microalbuminuria and fasting plasma levels of glucose, insulin, and lipid profile) from 683

  11. Motif-Independent De Novo Detection of Secondary Metabolite Gene Clusters – Towards Identification of Novel Secondary Metabolisms from Filamentous Fungi -

    Directory of Open Access Journals (Sweden)

    Myco eUmemura

    2015-05-01

    Full Text Available Secondary metabolites are produced mostly by clustered genes that are essential to their biosynthesis. The transcriptional expression of these genes is often cooperatively regulated by a transcription factor located inside or close to a cluster. Most of the secondary metabolism biosynthesis (SMB gene clusters identified to date contain so-called core genes with distinctive sequence features, such as polyketide synthase (PKS and non-ribosomal peptide synthetase (NRPS. Recent efforts in sequencing fungal genomes have revealed far more SMB gene clusters than expected based on the number of core genes in the genomes. Several bioinformatics tools have been developed to survey SMB gene clusters using the sequence motif information of the core genes, including SMURF and antiSMASH.More recently, accompanied by the development of sequencing techniques allowing to obtain large-scale genomic and transcriptomic data, motif-independent prediction methods of SMB gene clusters, including MIDDAS-M, have been developed. Most these methods detect the clusters in which the genes are cooperatively regulated at transcriptional levels, thus allowing the identification of novel SMB gene clusters regardless of the presence of the core genes. Another type of the method, MIPS-CG, uses the characteristics of SMB genes, which are highly enriched in non-syntenic blocks (NSBs, enabling the prediction even without transcriptome data although the results have not been evaluated in detail. Considering that large portion of SMB gene clusters might be sufficiently expressed only in limited uncommon conditions, it seems that prediction of SMB gene clusters by bioinformatics and successive experimental validation is an only way to efficiently uncover hidden SMB gene clusters. Here, we describe and discuss possible novel approaches for the determination of SMB gene clusters that have not been identified using conventional methods.

  12. Diverse and Abundant Secondary Metabolism Biosynthetic Gene Clusters in the Genomes of Marine Sponge Derived Streptomyces spp. Isolates

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    Stephen A. Jackson

    2018-02-01

    Full Text Available The genus Streptomyces produces secondary metabolic compounds that are rich in biological activity. Many of these compounds are genetically encoded by large secondary metabolism biosynthetic gene clusters (smBGCs such as polyketide synthases (PKS and non-ribosomal peptide synthetases (NRPS which are modular and can be highly repetitive. Due to the repeats, these gene clusters can be difficult to resolve using short read next generation datasets and are often quite poorly predicted using standard approaches. We have sequenced the genomes of 13 Streptomyces spp. strains isolated from shallow water and deep-sea sponges that display antimicrobial activities against a number of clinically relevant bacterial and yeast species. Draft genomes have been assembled and smBGCs have been identified using the antiSMASH (antibiotics and Secondary Metabolite Analysis Shell web platform. We have compared the smBGCs amongst strains in the search for novel sequences conferring the potential to produce novel bioactive secondary metabolites. The strains in this study recruit to four distinct clades within the genus Streptomyces. The marine strains host abundant smBGCs which encode polyketides, NRPS, siderophores, bacteriocins and lantipeptides. The deep-sea strains appear to be enriched with gene clusters encoding NRPS. Marine adaptations are evident in the sponge-derived strains which are enriched for genes involved in the biosynthesis and transport of compatible solutes and for heat-shock proteins. Streptomyces spp. from marine environments are a promising source of novel bioactive secondary metabolites as the abundance and diversity of smBGCs show high degrees of novelty. Sponge derived Streptomyces spp. isolates appear to display genomic adaptations to marine living when compared to terrestrial strains.

  13. New targets to treat obesity and the metabolic syndrome.

    Science.gov (United States)

    Martin, Kathleen A; Mani, Mitra V; Mani, Arya

    2015-09-15

    Metabolic syndrome (MetS) is a cluster ofassociated metabolic traits that collectively confer unsurpassed risk for development of cardiovascular disease (CVD) and type 2 diabetes compared to any single CVD risk factor. Truncal obesity plays an exceptionally critical role among all metabolic traits of the MetS. Consequently, the prevalence of the MetS has steadily increased with the growing epidemic of obesity. Pharmacotherapy has been available for obesity for more than one decade, but with little success in improving the metabolic profiles. The serotonergic drugs and inhibitors of pancreatic lipases were among the few drugs that were initially approved to treat obesity. At the present time, only the pancreatic lipase inhibitor orlistat is approved for long-term treatment of obesity. New classes of anti-diabetic drugs, including glucagon-like peptide 1 receptor (GLP-1R) agonists and Dipeptidyl-peptidase IV (DPP-IV) inhibitors, are currently being evaluated for their effects on obesity and metabolic traits. The genetic studies of obesity and metabolic syndrome have identified novel molecules acting on the hunger and satiety peptidergic signaling of the gut-hypothalamus axis or the melanocortin system of the brain and are promising targets for future drug development. The goal is to develop drugs that not only treat obesity, but also favorably impact its associated traits. Copyright © 2015 Elsevier B.V. All rights reserved.

  14. [Association between sedentary life style and risks of metabolic syndrome and diabetes mellitus type 2].

    Science.gov (United States)

    Ye, Ying; Zhong, Wenling; Lin, Xiuquan; Lin, Shuguang; Lin, Xi; Li, Xiaoqing; Chen, Tiehui

    2014-11-01

    To explore the association of sedentary life style with risk of metabolic syndrome (MS) and diabetes mellitus type 2(T2DM). A total of 6 016 local residents aged 18 years or older in Fujian province were recruited by multi-stage stratified cluster sampling method in 2010-2011. Data, including demographic information, physical activity and sedentary time were collected. Indices related to height, weight, waist circumference, blood pressure and blood lipid were determined while MS and T2DM were diagnosed by IDF (2005) and WHO (1999) criteria. Logistic regression was used to estimate the correlations between sedentary behavior and MS or T2DM. The prevalence rates of MS and T2DM were 19.0% and 8.0% respectively, in local residents aged 18 years or older, in Fujian province. The overall rate of sedentary behavior was 18.1%, with the mean sedentary time as 4.3 hours. Both data showed significantly differences (P sedentary time sedentary behavior was independently associated with an increased risk of MT group (OR = 1.82, 95% CI: 1.33-2.48, P sedentary behavior/sedentary time. MS and T2DM were associated with sedentary lifestyle, but these findings should be confirmed through further longitudinal studies.

  15. Anthropometric indices are not satisfactory predictors of metabolic comorbidities in obese children and adolescents.

    Science.gov (United States)

    Morandi, Anita; Miraglia Del Giudice, Emanuele; Martino, Francesco; Martino, Eliana; Bozzola, Mauro; Maffeis, Claudio

    2014-12-01

    To assess the accuracy of body mass index (BMI), Z score of the BMI, waist circumference, and waist-to-height ratio in selecting obese children with fasting metabolic impairments or impaired glucose tolerance. In a cohort of 883 obese children and adolescents (age 8-18 years), we assessed the associations of anthropometric indices with traditional metabolic complications of obesity (impaired fasting glucose, impaired glucose tolerance, hypertension, high triglycerides, low high-density lipoprotein-cholesterol). The accuracy of anthropometric indices as markers of metabolic impairment was assessed by receiver operating characteristic analysis and the areas under the receiver operating characteristics curves (AUROCs) of anthropometric indices were compared with each other by the DeLong test. BMI, Z score of the BMI, waist circumference, and waist-to-height ratio were associated with metabolic impairments but showed low to moderate accuracy in discriminating both single and clustered metabolic impairments. The AUROCs ranged from 0.55-0.70. The 4 anthropometric indices did not show significantly different AUROCs as predictors of clustered metabolic risk factors (all P values of DeLong tests: >.05). Commonly used anthropometric indices are not satisfactory markers of metabolic comorbidity among obese children and adolescents and should not be adopted as screening tools for the metabolic assessment of this category of patients. Copyright © 2014 Elsevier Inc. All rights reserved.

  16. Adolescent Metabolic Syndrome Risk Is Increased with Higher Infancy Weight Gain and Decreased with Longer Breast Feeding

    Directory of Open Access Journals (Sweden)

    Kim Khuc

    2012-01-01

    Full Text Available Background. Prevalence of the metabolic syndrome is increasing in pediatric age groups worldwide. Meeting the criteria for the metabolic syndrome puts children at risk for later cardiovascular and metabolic disease. Methods. Using linear regression, we examined the association between infant weight gain from birth to 3 months and risk for the metabolic syndrome among 16- to 17-year-old Chilean adolescents (n=357, accounting for the extent of breastfeeding in infancy and known covariates including gender, birth weight, and socioeconomic status. Results. Participants were approximately half male (51%, born at 40 weeks of gestation weighing 3.5 kg, and 48% were exclusively breastfed for ≥90 days. Factors independently associated with increased risk of metabolic syndrome in adolescence were faster weight gain in the first 3 months of life (B=0.16, P<0.05 and male gender (B=0.24, P<0.05. Breastfeeding as the sole source of milk for ≥90 days was associated with significantly decreased risk of metabolic syndrome (B=−0.16. Conclusion. This study adds to current knowledge about early infant growth and breastfeeding and their long-term health effects.

  17. Metabolic syndrome, endocrine disruptors and prostate cancer associations: biochemical and pathophysiological evidences

    Science.gov (United States)

    Quagliariello, Vincenzo; Rossetti, Sabrina; Cavaliere, Carla; Di Palo, Rossella; Lamantia, Elvira; Castaldo, Luigi; Nocerino, Flavia; Ametrano, Gianluca; Cappuccio, Francesca; Malzone, Gabriella; Montanari, Micaela; Vanacore, Daniela; Romano, Francesco Jacopo; Piscitelli, Raffaele; Iovane, Gelsomina; Pepe, Maria Filomena; Berretta, Massimiliano; D'Aniello, Carmine; Perdonà, Sisto; Muto, Paolo; Botti, Gerardo; Ciliberto, Gennaro; Veneziani, Bianca Maria; De Falco, Francesco; Maiolino, Piera; Caraglia, Michele; Montella, Maurizio; Iaffaioli, Rosario Vincenzo; Facchini, Gaetano

    2017-01-01

    This review summarizes the main pathophysiological basis of the relationship between metabolic syndrome, endocrine disruptor exposure and prostate cancer that is the most common cancer among men in industrialized countries. Metabolic syndrome is a cluster of metabolic and hormonal factors having a central role in the initiation and recurrence of many western chronic diseases including hormonal-related cancers and it is considered as the worlds leading health problem in the coming years. Many biological factors correlate metabolic syndrome to prostate cancer and this review is aimed to focus, principally, on growth factors, cytokines, adipokines, central obesity, endocrine abnormalities and exposure to specific endocrine disruptors, a cluster of chemicals, to which we are daily exposed, with a hormone-like structure influencing oncogenes, tumor suppressors and proteins with a key role in metabolism, cell survival and chemo-resistance of prostate cancer cells. Finally, this review will analyze, from a molecular point of view, how specific foods could reduce the relative risk of incidence and recurrence of prostate cancer or inhibit the biological effects of endocrine disruptors on prostate cancer cells. On the basis of these considerations, prostate cancer remains a great health problem in terms of incidence and prevalence and interventional studies based on the treatment of metabolic syndrome in cancer patients, minimizing exposure to endocrine disruptors, could be a key point in the overall management of this disease. PMID:28389628

  18. Metabolic disorders and cardiovascular risk in people living with HIV/AIDS without the use of antiretroviral therapy

    Directory of Open Access Journals (Sweden)

    Mariana Amaral Raposo

    Full Text Available Abstract INTRODUCTION: Metabolic disorders in people living with HIV/AIDS (PLH have been described even before the introduction of antiretroviral (ARV drugs in the treatment of HIV infection and are risk factors for cardiovascular diseases. Based on this, the purpose of this study was to assess metabolic disorders and cardiovascular risk in PLH before the initiation of antiretroviral treatment (ART. METHODS: This was a cross-sectional descriptive study of 87 PLH without the use of ART, which was carried out between January and September 2012 at a specialized infectious diseases center in Minas Gerais, Brazil. RESULTS: The main metabolic disorders in the population were low serum levels of HDL-cholesterol, hypertriglyceridemia and abdominal obesity. Dyslipidemia was prevalent in 62.6% of the study population, whereas metabolic syndrome (MS was prevalent in 11.5% of patients assessed by the International Diabetes Federation (IDF criteria and 10.8% assessed by the National Cholesterol Education Program-Adult Treatment Panel (NCEP-ATPIII criteria. Regarding cardiovascular risk, 89.7% of the population presented a low coronary risk according to the Framingham Risk Score. A greater proportion of patients diagnosed with MS presented low cardiovascular risk (80% assessed by IDF criteria and 77.8% assessed by NCEP-ATPIII criteria. CONCLUSIONS: Metabolic disorders in this population may be due to HIV infection or lifestyle (smoking, sedentary lifestyle and inadequate diet. The introduction of ART can enhance dyslipidemia, increasing cardiovascular risk, especially among those who have classic risks of cardiovascular disease.

  19. [High risk groups in health behavior defined by clustering of smoking, alcohol, and exercise habits: National Heath and Nutrition Examination Survey].

    Science.gov (United States)

    Kang, Kiwon; Sung, Joohon; Kim, Chang Yup

    2010-01-01

    We investigated the clustering of selected lifestyle factors (cigarette smoking, heavy alcohol consumption, lack of physical exercise) and identified the population characteristics associated with increasing lifestyle risks. Data on lifestyle risk factors, sociodemographic characteristics, and history of chronic diseases were obtained from 7,694 individuals >/=20 years of age who participated in the 2005 Korea National Health and Nutrition Examination Survey (KNHANES). Clustering of lifestyle risks involved the observed prevalence of multiple risks and those expected from marginal exposure prevalence of the three selected risk factors. Prevalence odds ratio was adopted as a measurement of clustering. Multiple correspondence analysis, Kendall tau correlation, Man-Whitney analysis, and ordinal logistic regression analysis were conducted to identify variables increasing lifestyle risks. In both men and women, increased lifestyle risks were associated with clustering of: (1) cigarette smoking and excessive alcohol consumption, and (2) smoking, excessive alcohol consumption, and lack of physical exercise. Patterns of clustering for physical exercise were different from those for cigarette smoking and alcohol consumption. The increased unhealthy clustering was found among men 20-64 years of age with mild or moderate stress, and among women 35-49 years of age who were never-married, with mild stress, and increased body mass index (>30 kg/m(2)). Addressing a lack of physical exercise considering individual characteristics including gender, age, employment activity, and stress levels should be a focus of health promotion efforts.

  20. Pathophysiology and therapeutics of cardiovascular disease in metabolic syndrome.

    Science.gov (United States)

    Wang, Yabin; Yu, Qiujun; Chen, Yundai; Cao, Feng

    2013-01-01

    The metabolic syndrome (MetS) is characterized by a cluster of cardiovascular risk factors, including central obesity, hyperglycemia, dyslipidemia and hypertension, which are highly associated with increased morbidity and mortality of cardiovascular diseases (CVD). The association between these metabolic disorders and the development of CVD is believed to be multifactorial, where insulin resistance, oxidative stress, low-grade inflammation and vascular maladaptation act as the major contributors. Therefore, multipronged therapeutic strategies should be taken for the management of patients with MetS. Lifestyle changes including weight control, healthy heart diet and regular exercises have been proposed as first line treatment to decrease CVD risks in MetS individuals. In addition, improving insulin resistance and glucose metabolism, controlling blood pressure as well as modulating dyslipidemia can also delay or reverse the progression of CVD in MetS. This review will first address the complicated interactions between MetS and CVD¸ followed by discussion about the optimal strategy in the prevention and treatment of CVD in MetS patients and the updated results from newly released clinical trials.

  1. Alimentary habits, physical activity, and Framingham global risk score in metabolic syndrome.

    Science.gov (United States)

    Soares, Thays Soliman; Piovesan, Carla Haas; Gustavo, Andréia da Silva; Macagnan, Fabrício Edler; Bodanese, Luiz Carlos; Feoli, Ana Maria Pandolfo

    2014-04-01

    Metabolic syndrome is a complex disorder represented by a set of cardiovascular risk factors. A healthy lifestyle is strongly related to improve Quality of Life and interfere positively in the control of risk factors presented in this condition. To evaluate the effect of a program of lifestyle modification on the Framingham General Cardiovascular Risk Profile in subjects diagnosed with metabolic syndrome. A sub-analysis study of a randomized clinical trial controlled blind that lasted three months. Participants were randomized into four groups: dietary intervention + placebo (DIP), dietary intervention + supplementation of omega 3 (fish oil 3 g/day) (DIS3), dietary intervention + placebo + physical activity (DIPE) and dietary intervention + physical activity + supplementation of omega 3 (DIS3PE). The general cardiovascular risk profile of each individual was calculated before and after the intervention. The study included 70 subjects. Evaluating the score between the pre and post intervention yielded a significant value (p study emphasizes the importance of lifestyle modification in the prevention and treatment of cardiovascular diseases.

  2. The concept of metabolic syndrome: contribution of visceral fat accumulation and its molecular mechanism.

    Science.gov (United States)

    Matsuzawa, Yuji; Funahashi, Tohru; Nakamura, Tadashi

    2011-01-01

    Although abdominal obesity or visceral obesity is considered to be one of the components of metabolic syndrome and to have an important role in a cluster of cardiovascular risks, there is no consensus about the definition and diagnostic criteria for this syndrome, probably because there is considerable disagreement about the location and definition of abdominal obesity or visceral obesity.In this review article, the important role of visceral fat accumulation in the development of a variety of lifestyle-related diseases is shown, including cardiovascular disease based on our clinical studies using CT scans, and the mechanism of these disorders is discussed, focusing on adipocytokines, especially adiponectin.The importance of diagnosing metabolic syndrome, in which visceral fat accumulation plays an essential role in the development of multiple risk factors, should be emphasized because lifestyle modification for the reduction of visceral fat may be very effective for the reduction of risks of this type, namely metabolic syndrome in the narrow sense.

  3. Inflammatory Markers and Clustered Cardiovascular Disease Risk Factors in Danish Adolescents

    DEFF Research Database (Denmark)

    Bugge, Anna; El-Naaman, Bianca; McMurray, Robert G

    2012-01-01

    Aims: To evaluate the associations between inflammatory markers and clustering of cardiovascular disease (CVD) risk factors, and to examine how inflammatory markers and CVD risk are related to fatness and cardiorespiratory fitness (VO(2peak)) in adolescents. Methods: Body mass and height, skinfolds...... and blood pressure of 413 adolescents (mean age 13.4 ± 0.3 years) were measured. Circulating fasting levels of glucose, insulin, lipids, adiponectin, C-reactive protein (CRP), tumor necrosis factor (TNF)α, soluble TNF receptor-1 (sTNFR1), interleukin (IL)-6 and IL-1 receptor antagonist (IL-1Ra) were...

  4. Does the Risk of Metabolic Syndrome Increase in Thyroid Cancer Survivors?

    Science.gov (United States)

    Kim, Min-Hee; Huh, Jin-Young; Lim, Dong-Jun; Kang, Moo-Il

    2017-07-01

    The steep rise in thyroid cancer observed in recent decades has caused an increase in the population of long-term thyroid cancer survivors. Other than recurrences of cancer, the long-term health consequences of surviving thyroid cancer, particularly metabolic syndrome, have not yet been determined. The aim of this study was to estimate the risk of metabolic syndrome in thyroid cancer survivors. Population-based data from the Korean National Health and Nutrition Examination Survey (KNHANES) were used for the analysis. The data of KNHANES IV-VI from 2007-2014 were obtained. After excluding subjects who were under 19 years old, whose fasting interval was less than 8 hours, and whose data for predefined variables including metabolic syndrome components were incomplete, 34,347 subjects were analyzed. The incidence of metabolic syndrome and its components were evaluated in three groups: subjects with no history of thyroid cancer, subjects diagnosed with thyroid cancer within 3 years of the survey date, and subjects diagnosed more than 3 years before the survey date. Thyroid cancer diagnoses were made within 3 years of the survey date for 95 subjects (group 1, short-term survivors) and more than 3 years earlier than the survey date for 60 subjects (group 2, long-term survivors). Metabolic syndrome was frequently observed with clinical significance (odds ratio [OR] 1.986 [95% confidence interval [CI] 1.0-3.70], p = 0.030) in short-term survivors compared with subjects with no thyroid cancer history. Risks for having high blood pressure and high fasting glucose were estimated to be higher in the short-term survivor group (OR 2.115 [CI 1.23-3.64], p = 0.006 and OR 1.792 [CI 1.03-3.11], p = 0.038, respectively). No significant associations were noticed in the long-term survivor group when compared with the group with no thyroid cancer history. Risks for metabolic syndrome, especially high blood pressure and high fasting glucose, were increased in short

  5. Early Onset Childhood Obesity and Risk of Metabolic Syndrome

    Centers for Disease Control (CDC) Podcasts

    This podcast features Lorena Pacheco, a doctoral student at the University of California San Diego and one of the winners of PCD's 2017 Student Research Paper Contest. Lorena answers questions about her winning research, which focuses on the relationship between early onset obesity as a risk factor for increased metabolic syndrome in Chilean children.

  6. Metabolic syndrome in family practice in Jordan: a study of high-risk groups.

    Science.gov (United States)

    Yasein, N; Masa'd, D

    2011-12-01

    This study assessed the prevalence of the metabolic syndrome, and its components, as defined by Adult Treatment Panel III criteria in Jordanian patients attending a family practice clinic for management of cardiovascular risk factors. The sample was 730 randomly selected patients aged > or = 25 years. The prevalence of metabolic syndrome was 37.4% (31.7% in men; 41.0% in women). The prevalence increased with age in the total sample and in both sexes. High waist circumference showed the highest prevalence in the total sample (61.6%). Among females it ranked as the first criterion (73.5%). High serum triglyceride level showed the highest prevalence in males (50.2%). Differences between the sexes were significant. Family practitioners should be alerted to the importance of multiple risk factors in the metabolic syndrome.

  7. Muscular strength and endurance and cardio-metabolic health in disadvantaged Hispanic children from the U.S.

    Directory of Open Access Journals (Sweden)

    Ryan D. Burns

    2017-03-01

    Full Text Available The predictive relationship between muscular strength and endurance and cardio-metabolic health, independent from aerobic fitness, is not clear in disadvantaged Hispanic children. The purpose of this study was to examine the predictive relationship between muscular strength and endurance and clustered cardio-metabolic risk, controlling for aerobic fitness, in Hispanic children from low-income schools. Participants were 320 Hispanic children (Mean age = 10.1 ± 1.1 years; 164 girls, 156 boys recruited during the 2014–2015 and 2015–2016 academic years from five low-income schools from the state of Utah in the U.S. Muscular strength and endurance was assessed using the push-up and curl-up tests and estimated VO2 Peak was calculated from the Progressive Aerobic Cardiovascular Endurance Run. A clustered metabolic syndrome composite score (MetS was calculated from cardio-metabolic health measurements consisting of HDL cholesterol, triglycerides, waist circumference, blood glucose, and mean arterial pressure (MAP. Multi-level general linear mixed effects models were used to examine the predictive relationship between muscular strength and endurance and MetS, controlling for the effect of aerobic fitness and the clustering of children within classrooms and schools. Children who were in the middle and upper tertiles for muscular strength and endurance associated with a lower (more favorable MetS score (middle tertile: β = −2.59, 95% C.I. [−4.23, −0.95], p < 0.05; upper tertile: β = −1.57, 95% C.I. [−3.20, −0.16], p < 0.05. The results suggest that higher levels of muscular strength and endurance relate to lower cardio-metabolic risk, independent of aerobic fitness, in Hispanic children from low-income schools.

  8. Postprandial Metabolism of Macronutrients and Cardiometabolic Risk: Recent Developments, Emerging Concepts, and Future Directions.

    Science.gov (United States)

    Jacome-Sosa, Miriam; Parks, Elizabeth J; Bruno, Richard S; Tasali, Esra; Lewis, Gary F; Schneeman, Barbara O; Rains, Tia M

    2016-03-01

    Cardiovascular disease (CVD) is the leading cause of death in the United States. Although the role of habitual lifestyle factors such as physical activity and dietary patterns in increasing CVD risk has long been appreciated, less is known about how acute daily activities may cumulatively contribute to long-term disease risk. Here, the term acute refers to metabolic responses occurring in a short period of time after eating, and the goal of this article is to review recently identified stressors that can occur after meals and during the sleep-wake cycle to affect macronutrient metabolism. It is hypothesized that these events, when repeated on a regular basis, contribute to the observed long-term behavioral risks identified in population studies. In this regard, developments in research methods have supported key advancements in 3 fields of macronutrient metabolism. The first of these research areas is the focus on the immediate postmeal metabolism, spanning from early intestinal adsorptive events to the impact of incretin hormones on these events. The second topic is a focus on the importance of meal components on postprandial vasculature function. Finally, some of the most exciting advances are being made in understanding dysregulation in metabolism early in the day, due to insufficient sleep, that may affect subsequent processing of nutrients throughout the day. Key future research questions are highlighted which will lead to a better understanding of the relations between nocturnal, basal (fasting), and early postmeal events, and aid in the development of optimal sleep and targeted dietary patterns to reduce cardiometabolic risk. © 2016 American Society for Nutrition.

  9. A Comparison between BMI, Waist Circumference, and Waist-To-Height Ratio for Identifying Cardio-Metabolic Risk in Children and Adolescents

    DEFF Research Database (Denmark)

    Sardinha, Luís B; Santos, Diana A; Silva, Analiza M

    2016-01-01

    R) with clustered cardiometabolic risk factors and to determine whether these anthropometric variables can be used to discriminate individuals with increased cardiometabolic risk (increased clustered triglycerides, HDL-cholesterol, systolic and diastolic blood pressure, and HOMA-IR). METHODS: The study sample...... pressure (mean arterial pressure), and HOMA-IR] and children with ≥1.0 SD in this score were defined as being at risk for clustering cardiometabolic risk factors.. Exposure variables were BMI, WC, WHtR. Statistics included mixed-effect regression and ROC analysis. RESULTS: All anthropometric variables were...

  10. Cluster analysis of fasciolosis in dairy cow herds in Munster province of Ireland and detection of major climatic and environmental predictors of the exposure risk.

    Science.gov (United States)

    Selemetas, Nikolaos; Phelan, Paul; O'Kiely, Padraig; de Waal, Theo

    2015-03-19

    Fasciolosis caused by Fasciola hepatica is a widespread parasitic disease in cattle farms. The aim of this study was to detect clusters of fasciolosis in dairy cow herds in Munster Province, Ireland and to identify significant climatic and environmental predictors of the exposure risk. In total, 1,292 dairy herds across Munster was sampled in September 2012 providing a single bulk tank milk (BTM) sample. The analysis of samples by an in-house antibody-detection enzyme-linked immunosorbent assay (ELISA), showed that 65% of the dairy herds (n = 842) had been exposed to F. hepatica. Using the Getis-Ord Gi* statistic, 16 high-risk and 24 low-risk (P <0.01) clusters of fasciolosis were identified. The spatial distribution of high-risk clusters was more dispersed and mainly located in the northern and western regions of Munster compared to the low-risk clusters that were mostly concentrated in the southern and eastern regions. The most significant classes of variables that could reflect the difference between high-risk and low-risk clusters were the total number of wet-days and rain-days, rainfall, the normalized difference vegetation index (NDVI), temperature and soil type. There was a bigger proportion of well-drained soils among the low-risk clusters, whereas poorly drained soils were more common among the high-risk clusters. These results stress the role of precipitation, grazing, temperature and drainage on the life cycle of F. hepatica in the temperate Irish climate. The findings of this study highlight the importance of cluster analysis for identifying significant differences in climatic and environmental variables between high-risk and low-risk clusters of fasciolosis in Irish dairy herds.

  11. Cluster analysis of fasciolosis in dairy cow herds in Munster province of Ireland and detection of major climatic and environmental predictors of the exposure risk

    Directory of Open Access Journals (Sweden)

    Nikolaos Selemetas

    2015-03-01

    Full Text Available Fasciolosis caused by Fasciola hepatica is a widespread parasitic disease in cattle farms. The aim of this study was to detect clusters of fasciolosis in dairy cow herds in Munster Province, Ireland and to identify significant climatic and environmental predictors of the exposure risk. In total, 1,292 dairy herds across Munster was sampled in September 2012 providing a single bulk tank milk (BTM sample. The analysis of samples by an in-house antibody-detection enzyme-linked immunosorbent assay (ELISA, showed that 65% of the dairy herds (n = 842 had been exposed to F. hepatica. Using the Getis-Ord Gi* statistic, 16 high-risk and 24 low-risk (P <0.01 clusters of fasciolosis were identified. The spatial distribution of high-risk clusters was more dispersed and mainly located in the northern and western regions of Munster compared to the low-risk clusters that were mostly concentrated in the southern and eastern regions. The most significant classes of variables that could reflect the difference between high-risk and low-risk clusters were the total number of wet-days and rain-days, rainfall, the normalized difference vegetation index (NDVI, temperature and soil type. There was a bigger proportion of well-drained soils among the low-risk clusters, whereas poorly drained soils were more common among the high-risk clusters. These results stress the role of precipitation, grazing, temperature and drainage on the life cycle of F. hepatica in the temperate Irish climate. The findings of this study highlight the importance of cluster analysis for identifying significant differences in climatic and environmental variables between high-risk and low-risk clusters of fasciolosis in Irish dairy herds.

  12. Ethical implications of excessive cluster sizes in cluster randomised trials.

    Science.gov (United States)

    Hemming, Karla; Taljaard, Monica; Forbes, Gordon; Eldridge, Sandra M; Weijer, Charles

    2018-02-20

    The cluster randomised trial (CRT) is commonly used in healthcare research. It is the gold-standard study design for evaluating healthcare policy interventions. A key characteristic of this design is that as more participants are included, in a fixed number of clusters, the increase in achievable power will level off. CRTs with cluster sizes that exceed the point of levelling-off will have excessive numbers of participants, even if they do not achieve nominal levels of power. Excessively large cluster sizes may have ethical implications due to exposing trial participants unnecessarily to the burdens of both participating in the trial and the potential risks of harm associated with the intervention. We explore these issues through the use of two case studies. Where data are routinely collected, available at minimum cost and the intervention poses low risk, the ethical implications of excessively large cluster sizes are likely to be low (case study 1). However, to maximise the social benefit of the study, identification of excessive cluster sizes can allow for prespecified and fully powered secondary analyses. In the second case study, while there is no burden through trial participation (because the outcome data are routinely collected and non-identifiable), the intervention might be considered to pose some indirect risk to patients and risks to the healthcare workers. In this case study it is therefore important that the inclusion of excessively large cluster sizes is justifiable on other grounds (perhaps to show sustainability). In any randomised controlled trial, including evaluations of health policy interventions, it is important to minimise the burdens and risks to participants. Funders, researchers and research ethics committees should be aware of the ethical issues of excessively large cluster sizes in cluster trials. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is

  13. Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents

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    Carla Moreira

    2011-01-01

    Full Text Available Introduction. This study aimed to evaluate the screening performance of different measures of adiposity: body mass index (BMI, waist circumference (WC, and waist-to-height ratio (WHtR for high metabolic risk in a sample of adolescents. Methods. A cross-sectional school-based study was conducted on 517 adolescents aged 15–18, from the Azorean Islands, Portugal. We measured fasting glucose, insulin, total cholesterol (TC, HDL-cholesterol, triglycerides, and systolic blood pressure. HOMA and TC/HDL-C ratio were calculated. For each of these variables, a Z-score was computed by age and sex. A metabolic risk score (MRS was constructed by summing the Z-scores of all individual risk factors. High risk was considered when the individual had ≥1SD of this score. Receiver-operating characteristics (ROC were used. Results. Linear regression analyses showed that, after adjusting for age and pubertal stage, all different measures of adiposity are positively and significantly associated with MRS in both sexes, with exception of WHtR for boys. BMI, WC, and WHtR performed well in detecting high MRS, indicated by areas under the curve (AUC, with slightly greater AUC for BMI than for WC and WHtR in both sexes. Conclusion. All measures of adiposity were significantly associated with metabolic risk factors in a sample of Portuguese adolescents.

  14. Comprehensive evaluation of one-carbon metabolism pathway gene variants and renal cell cancer risk.

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    Todd M Gibson

    Full Text Available Folate and one-carbon metabolism are linked to cancer risk through their integral role in DNA synthesis and methylation. Variation in one-carbon metabolism genes, particularly MTHFR, has been associated with risk of a number of cancers in epidemiologic studies, but little is known regarding renal cancer.Tag single nucleotide polymorphisms (SNPs selected to produce high genomic coverage of 13 gene regions of one-carbon metabolism (ALDH1L1, BHMT, CBS, FOLR1, MTHFR, MTR, MTRR, SHMT1, SLC19A1, TYMS and the closely associated glutathione synthesis pathway (CTH, GGH, GSS were genotyped for 777 renal cell carcinoma (RCC cases and 1,035 controls in the Central and Eastern European Renal Cancer case-control study. Associations of individual SNPs (n = 163 with RCC risk were calculated using unconditional logistic regression adjusted for age, sex and study center. Minimum p-value permutation (Min-P tests were used to identify gene regions associated with risk, and haplotypes were evaluated within these genes.The strongest associations with RCC risk were observed for SLC19A1 (P(min-P = 0.03 and MTHFR (P(min-P = 0.13. A haplotype consisting of four SNPs in SLC19A1 (rs12483553, rs2838950, rs2838951, and rs17004785 was associated with a 37% increased risk (p = 0.02, and exploratory stratified analysis suggested the association was only significant among those in the lowest tertile of vegetable intake.To our knowledge, this is the first study to comprehensively examine variation in one-carbon metabolism genes in relation to RCC risk. We identified a novel association with SLC19A1, which is important for transport of folate into cells. Replication in other populations is required to confirm these findings.

  15. Association of lifestyle risk factors with metabolic syndrome components: A cross-sectional study in Eastern India

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    Pragya Verma

    2018-01-01

    Full Text Available Background: Approximately 20%–25% of the world adult population and nearly 30% of Indians have metabolic syndrome disorder. Our objective was designed to find out the association between important nutrients and potential lifestyle risk factors such as diet, physical inactivity, and smoking and alcohol consumption with the number of metabolic syndrome components. Methods: This was a cross-sectional study. A total of 205 patients of metabolic syndrome were enrolled for this study. Diagnosis of metabolic syndrome was done on the basis of National Cholesterol Education Program Adult Treatment Panel III criteria (NCEP ATP III 2004.Dietary data were collected with the validated food frequency questionnaire and 24 h dietary recall method, and the nutrient intake was calculated with the specially designed software. Results: Unhealthy dietary habits were seen more among the participants who had more than 3 risk factors. Results showed the odds of taking> 5 times junk foods was 3 times higher (odds ratio [OR]: 2.97; 95% confidence interval [CI]: 1.61–5.47, and sweet dishes was 2.3 times higher (OR: 2.33; 95% CI: 1.28–4.24 among the participants who had 4–5 risk factors. However, milk and dairy products > 4 servings/day (OR: 0.54; 95% CI: 0.175–1.67 and pulses and legumes more than 2 servings/day (OR: 0.57; 95% CI: 0.25–1.29 was protective against hypertension. Mean carbohydrate, saturated fat, and sodium intake was significantly higher in the participants who had 4–5 metabolic risk factors compared to 3 risk factors (P < 0.0001. Conclusions: It was concluded that low intake of fruits, vegetables, and higher intake of flesh food and inadequate physical activity significantly associated with the metabolic syndrome risk factors.

  16. Associations between Yogurt Consumption and Weight Gain and Risk of Obesity and Metabolic Syndrome: A Systematic Review.

    Science.gov (United States)

    Sayon-Orea, Carmen; Martínez-González, Miguel A; Ruiz-Canela, Miguel; Bes-Rastrollo, Maira

    2017-01-01

    The role of yogurt consumption in the risk of developing overweight, obesity, or metabolic syndrome has been the subject of epidemiologic studies over the last 10 y. A comprehensive literature search on MEDLINE and ISI Web of Knowledge from 1966 through June 2016 was conducted to examine the relation between yogurt consumption and weight gain, as well as the risk of overweight, obesity, or metabolic syndrome, in prospective cohort studies. Ten articles met all the inclusion criteria and were included in our systematic review. Of the 10 cohort studies, 3 analyzed the relation between yogurt consumption and the risk of overweight or obesity, 8 analyzed changes in waist circumference or weight changes, 3 studied the association with the risk of developing metabolic syndrome, and 1 studied the probability of abdominal obesity reversion. Although an inverse association between yogurt consumption and the risk of developing overweight or obesity was not fully consistent or always statistically significant, all studies but one showed in their point estimates inverse associations between yogurt consumption and changes in waist circumference, changes in weight, risk of overweight or obesity, and risk of metabolic syndrome during follow-up, although not all estimates were statistically significant (2 studies). Prospective cohort studies consistently suggested that yogurt consumption may contribute to a reduction in adiposity indexes and the risk of metabolic syndrome. Therefore, there is a need for more prospective studies and high-quality randomized clinical trials to confirm this apparent inverse association. © 2017 American Society for Nutrition.

  17. What is Metabolic Syndrome?

    Science.gov (United States)

    ... Intramural Research Home / Metabolic Syndrome Metabolic Syndrome Also known as What Is Metabolic syndrome ... metabolic risk factors to be diagnosed with metabolic syndrome. Metabolic Risk Factors A Large Waistline Having a large ...

  18. Apolipoproteins E and CIII interact to regulate HDL metabolism and coronary heart disease risk

    DEFF Research Database (Denmark)

    Morton, Allyson M; Koch, Manja; Mendivil, Carlos O

    2018-01-01

    cholesterol transport, which may protect against atherosclerosis. ApoCIII on HDL strongly attenuates these metabolic actions of HDL apoE. In the epidemiological study, the relation between HDL apoE concentration and CHD significantly differed depending on whether apoCIII was present. HDL apoE was associated...... significantly with lower risk of CHD only in the HDL subspecies lacking apoCIII. CONCLUSIONS: ApoE and apoCIII on HDL interact to affect metabolism and CHD. ApoE promotes metabolic steps in reverse cholesterol transport and is associated with lower risk of CHD. ApoCIII, when coexisting with apoE on HDL......, abolishes these benefits. Therefore, differences in metabolism of HDL subspecies pertaining to reverse cholesterol transport are reflected in differences in association with CHD. TRIAL REGISTRATION: Clinicaltrials.gov NCT01399632. FUNDING: This work was supported by NIH grant R01HL095964 to FMS...

  19. Mechanical and Metabolic Responses to Traditional and Cluster Set Configurations in the Bench Press Exercise.

    Science.gov (United States)

    García-Ramos, Amador; González-Hernández, Jorge M; Baños-Pelegrín, Ezequiel; Castaño-Zambudio, Adrián; Capelo-Ramírez, Fernando; Boullosa, Daniel; Haff, Guy G; Jiménez-Reyes, Pedro

    2017-10-20

    García-Ramos, A, González-Hernández, JM, Baños-Pelegrín, E, Castaño-Zambudio, A, Capelo-Ramírez, F, Boullosa, D, Haff, GG, and Jiménez-Reyes, P. Mechanical and metabolic responses to traditional and cluster set configurations in the bench press exercise. J Strength Cond Res XX(X): 000-000, 2017-This study aimed to compare mechanical and metabolic responses between traditional (TR) and cluster (CL) set configurations in the bench press exercise. In a counterbalanced randomized order, 10 men were tested with the following protocols (sets × repetitions [inter-repetition rest]): TR1: 3 × 10 (0-second), TR2: 6 × 5 (0-second), CL5: 3 × 10 (5-second), CL10: 3 × 10 (10-second), and CL15: 3 × 10 (15-second). The number of repetitions (30), interset rest (5 minutes), and resistance applied (10 repetition maximum) were the same for all set configurations. Movement velocity and blood lactate concentration were used to assess the mechanical and metabolic responses, respectively. The comparison of the first and last set of the training session revealed a significant decrease in movement velocity for TR1 (Effect size [ES]: -0.92), CL10 (ES: -0.85), and CL15 (ES: -1.08) (but not for TR2 [ES: -0.38] and CL5 [ES: -0.37]); while blood lactate concentration was significantly increased for TR1 (ES: 1.11), TR2 (ES: 0.90), and CL5 (ES: 1.12) (but not for CL10 [ES: 0.03] and CL15 [ES: -0.43]). Based on velocity loss, set configurations were ranked as follows: TR1 (-39.3 ± 7.3%) > CL5 (-20.2 ± 14.7%) > CL10 (-12.9 ± 4.9%), TR2 (-10.3 ± 5.3%), and CL15 (-10.0 ± 2.3%). The set configurations were ranked as follows based on the lactate concentration: TR1 (7.9 ± 1.1 mmol·L) > CL5 (5.8 ± 0.9 mmol·L) > TR2 (4.2 ± 0.7 mmol·L) > CL10 (3.5 ± 0.4 mmol·L) and CL15 (3.4 ± 0.7 mmol·L). These results support the use of TR2, CL10, and CL15 for the maintenance of high mechanical outputs, while CL10 and CL15 produce less metabolic stress than TR2.

  20. Physical activity, stress, and metabolic risk score in 8- to 18-year-old boys.

    Science.gov (United States)

    Holmes, Megan E; Eisenmann, Joey C; Ekkekakis, Panteleimon; Gentile, Douglas

    2008-03-01

    We examined whether physical activity modifies the relationship between stress and the metabolic risk score in 8- to 18-year-old males (n = 37). Physical activity (PA) and television (TV)/videogame (VG) use were assessed via accelerometer and questionnaire, respectively. Stress was determined from self-report measures. A metabolic risk score (MRS) was created by summing age-standardized residuals for waist circumference, mean arterial pressure, glycosylated hemoglobin, and high-density lipoprotein cholesterol. Correlations between PA and MRS were low (r adolescents.

  1. Association of Circulating Orexin-A Level With Metabolic Risk Factors in North Indian Pre Menopausal Women.

    Science.gov (United States)

    Gupta, Vani; Mishra, Sameeksha; Kumar, Sandeep; Mishra, Supriya

    2015-01-01

    The present study was designed to investigate the association between circulating Orexin-A level with metabolic risk factors in North Indian adult women. 342 women were enrolled for the case-control study, 172 women were with metabolic syndrome (mets) and 170 healthy control women were without metabolic syndrome, (womets) according to (NCEP ATP III criteria). Circulating Orexin-A level was determined by enzyme-linked immunosorbent assay. Observations indicated low levels of orexin-A (26.06 ± 6.09 ng/ml) in women with mets and other metabolic risk factors compared to women without metabolic syndrome (36.50 ± 10.42 ng/ml). Further, in women with metabolic syndrome, circulating Orexin A was significantly associated with waist circumference, triglyceride (negative correlation) and hyperdensity lipoprotein (positive correlation). Our study shows that circulating Orexin A was found to be significantly associated with hyperlipidemia, obesity and obesity-related disorders in North Indian premenopausal women.

  2. Epigenetic priming of the metabolic syndrome.

    Science.gov (United States)

    Bruce, Kimberley D; Cagampang, Felino R

    2011-05-01

    The metabolic syndrome (MetS) represents a cluster of cardiometabolic risk factors, including central obesity, insulin resistance, glucose intolerance, dyslipidemia, hypertension, hyperinsulinemia and microalbuminuria, and more recently, nonalcoholic fatty liver disease (NAFLD), polycystic ovarian syndrome (PCOS) and atherosclerosis. Although the concept of the MetS is subject to debate due to lack of a unifying underlying mechanism, the prevalence of a metabolic syndrome phenotype is rapidly increasing worldwide. Moreover, it is increasingly prevalent in children and adolescents of obese mothers. Evidence from both epidemiological and experimental animal studies now demonstrates that MetS onset is increasingly likely following exposure to suboptimal nutrition during critical periods of development, as observed in maternal obesity. Thus, the developmental priming of the MetS provides a common origin for this multifactorial disorder. Consequently, the mechanisms leading to this developmental priming have recently been the subject of intensive investigation. This review discusses recent data regarding the epigenetic modifications resulting from nutrition during early development that mediate persistent changes in the expression of key metabolic genes and contribute toward an adult metabolic syndrome phenotype. In addition, this review considers the role of the endogenous molecular circadian clock system, which has the potential to act at the interface between nutrient sensing and epigenetic processing. A continued and greater understanding of these mechanisms will eventually aid in the identification of individuals at high risk of cardiovascular disease (CVD) and type 2 diabetes, and help develop therapeutic interventions, in accordance with current global government strategy.

  3. OBESITY AND METABOLIC SYNDROME IN CHILDREN AND YOUTH: A HEALTH RISK WE CANNOT AFFORD

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    Serge P. von Duvillard

    2012-12-01

    Full Text Available Ample observational and empirical evidence has been provided that indicates that childhood metabolic syndrome risk factors inevitably lead to significantly more profound health risk factors of developing potent adulthood metabolic syndrome. Much of these data has been provided from medical, nutritional, health, pediatric, physical education and associated communities. Perhaps the most visible and observable health risk factor among children (here referred to as youth is the childhood obesity. Childhood obesity has reached epidemic proportions in western industrialized countries and is also becoming significantly more prevalent in Slovenia. The youth inactivity is attributed directly to epidemic and perhaps exponential occurrence of obesity in pediatric and youth populations. The symptoms and signs of metabolic syndrome have previously been attributed mostly to the adult population; however, similar observations have been identified and observed in young and very young segment of population. The typical risk factors of metabolic syndrome in youth, in adolescents, and in adulthood have been commonly identified to be: stress, overweight and obesity, sedentary life cycle, aging, diabetes mellitus, coronary heart disease, lipodystrophy and several others. This presentation will review and address several well known risk factors of developing metabolic syndrome in young years that directly contributes to adult obesity and are exhibited in significantly higher rates of hypertension, dyslipidemias, and insulin resistance, which are all risk factors for coronary heart disease, the leading cause of death in North America and may also apply to Slovenia. Many of these risk factors are modifiable (nutrition, smoking, sedentary life style, vigorous physical activity, reduction in TV and computer game times, etc. with specific emphasis on very young, young, adolescents and profound consequences for adulthood. Several recommendations will be proposed that may

  4. Self-Management Training for Chinese Obese Children at Risk for Metabolic Syndrome: Effectiveness and Implications for School Health

    Science.gov (United States)

    Ling, Jiying; Anderson, Laura M.; Ji, Hong

    2015-01-01

    This article reviews the results of a school-based self-management intervention for Chinese obese children at risk for metabolic syndrome. Twenty-eight Chinese obese children (M age?=?10 years) and their parents participated in the study. Metabolic syndrome risk factors were measured pre- and post-intervention. The risk factors included Body Mass…

  5. A Study on the cardio-metabolic risk factors in vietnamese females with long-term vegan diet

    OpenAIRE

    Nguyen, Hai Quy Tram

    2017-01-01

    A study of the cardio- metabolic risk factors in Vietnamese females with vegan diet. Background. Numerous studies have shown that vegan diet has beneficial effects on the prevention of cardiovascular diseases. However, the effects of vegan diet on cardio-metabolic risk factors and the association between duration of vegan diet and those risk factors, are still unclear. Objectives. The present study aims to investigate the prevalence and influence of duration of vegan diet on cardio- me...

  6. Metabolic profile and cardiovascular risk factors among Latin American HIV-infected patients receiving HAART

    Directory of Open Access Journals (Sweden)

    P Cahn

    Full Text Available OBJECTIVE: Determine the prevalence of metabolic abnormalities (MA and estimate the 10-year risk for cardiovascular disease (CVD among Latin American HIV-infected patients receiving highly active anti-retroviral therapy (HAART. METHODS: A cohort study to evaluate MA and treatment practices to reduce CVD has been conducted in seven Latin American countries. Adult HIV-infected patients with at least one month of HAART were enrolled. Baseline data are presented in this analysis. RESULTS: A total of 4,010 patients were enrolled. Mean age (SD was 41.9 (10 years; median duration of HAART was 35 (IQR: 10-51 months, 44% received protease inhibitors. The prevalence of dyslipidemia and metabolic syndrome was 80.2% and 20.2%, respectively. The overall 10-year risk of CVD, as measured by the Framingham risk score (FRF, was 10.4 (24.7. Longer exposure to HAART was documented in patients with dyslipidemia, metabolic syndrome and type 2 diabetes mellitus. The FRF score increased with duration of HAART. Male patients had more dyslipidemia, high blood pressure, smoking habit and higher 10-year CVD than females. CONCLUSIONS: Traditional risk factors for CVD are prevalent in this setting leading to intermediate 10-year risk of CVD. Modification of these risk factors through education and intervention programs are needed to reduce CVD.

  7. [Waist-to-height ratio is an indicator of metabolic risk in children].

    Science.gov (United States)

    Valle-Leal, Jaime; Abundis-Castro, Leticia; Hernández-Escareño, Juan; Flores-Rubio, Salvador

    2016-01-01

    Abdominal fat, particularly visceral, is associated with a high risk of metabolic complications. The waist-height ratio (WHtR) is used to assess abdominal fat in individuals of all ages. To determine the ability of the waist-to-height ratio to detect metabolic risk in mexican schoolchildren. A study was conducted on children between 6 and 12 years. Obesity was diagnosed as a body mass index (BMI) ≥ 85th percentile, and an ICE ≥0.5 was considered abdominal obesity. Blood levels of glucose, cholesterol and triglycerides were measured. The sensitivity, specificity, positive predictive and negative value, area under curve, the positive likelihood ratio and negative likelihood ratio of the WHtR and BMI were calculated in order to identify metabolic alterations. WHtR and BMI were compared to determine which had the best diagnostic efficiency. Of the 223 children included in the study, 51 had hypertriglyceridaemia, 27 with hypercholesterolaemia, and 9 with hyperglycaemia. On comparing the diagnostic efficiency of WHtR with that of BMI, there was a sensitivity of 100% vs. 56% for hyperglycaemia, 93 vs. 70% for cholesterol, and 76 vs. 59% for hypertriglyceridaemia. The specificity, negative predictive value, positive predictive value, positive likelihood ratio, negative likelihood ratio, and area under curve were also higher for WHtR. The WHtR is a more efficient indicator than BMI in identifying metabolic risk in mexican school-age. Copyright © 2015 Sociedad Chilena de Pediatría. Publicado por Elsevier España, S.L.U. All rights reserved.

  8. Effect of metabolic syndrome on mitsugumin 53 expression and function.

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    Hanley Ma

    Full Text Available Metabolic syndrome is a cluster of risk factors, such as obesity, insulin resistance, and hyperlipidemia that increases the individual's likelihood of developing cardiovascular diseases. Patients inflicted with metabolic disorders also suffer from tissue repair defect. Mitsugumin 53 (MG53 is a protein essential to cellular membrane repair. It facilitates the nucleation of intracellular vesicles to sites of membrane disruption to create repair patches, contributing to the regenerative capacity of skeletal and cardiac muscle tissues upon injury. Since individuals suffering from metabolic syndrome possess tissue regeneration deficiency and MG53 plays a crucial role in restoring membrane integrity, we studied MG53 activity in mice models exhibiting metabolic disorders induced by a 6 month high-fat diet (HFD feeding. Western blotting showed that MG53 expression is not altered within the skeletal and cardiac muscles of mice with metabolic syndrome. Rather, we found that MG53 levels in blood circulation were actually reduced. This data directly contradicts findings presented by Song et. al that indict MG53 as a causative factor for metabolic syndrome (Nature 494, 375-379. The diminished MG53 serum level observed may contribute to the inadequate tissue repair aptitude exhibited by diabetic patients. Furthermore, immunohistochemical analyses reveal that skeletal muscle fibers of mice with metabolic disorders experience localization of subcellular MG53 around mitochondria. This clustering may represent an adaptive response to oxidative stress resulting from HFD feeding and may implicate MG53 as a guardian to protect damaged mitochondria. Therapeutic approaches that elevate MG53 expression in serum circulation may be a novel method to treat the degenerative tissue repair function of diabetic patients.

  9. Associations between Yogurt Consumption and Weight Gain and Risk of Obesity and Metabolic Syndrome: A Systematic Review1234

    Science.gov (United States)

    Martínez-González, Miguel A; Bes-Rastrollo, Maira

    2017-01-01

    The role of yogurt consumption in the risk of developing overweight, obesity, or metabolic syndrome has been the subject of epidemiologic studies over the last 10 y. A comprehensive literature search on MEDLINE and ISI Web of Knowledge from 1966 through June 2016 was conducted to examine the relation between yogurt consumption and weight gain, as well as the risk of overweight, obesity, or metabolic syndrome, in prospective cohort studies. Ten articles met all the inclusion criteria and were included in our systematic review. Of the 10 cohort studies, 3 analyzed the relation between yogurt consumption and the risk of overweight or obesity, 8 analyzed changes in waist circumference or weight changes, 3 studied the association with the risk of developing metabolic syndrome, and 1 studied the probability of abdominal obesity reversion. Although an inverse association between yogurt consumption and the risk of developing overweight or obesity was not fully consistent or always statistically significant, all studies but one showed in their point estimates inverse associations between yogurt consumption and changes in waist circumference, changes in weight, risk of overweight or obesity, and risk of metabolic syndrome during follow-up, although not all estimates were statistically significant (2 studies). Prospective cohort studies consistently suggested that yogurt consumption may contribute to a reduction in adiposity indexes and the risk of metabolic syndrome. Therefore, there is a need for more prospective studies and high-quality randomized clinical trials to confirm this apparent inverse association. PMID:28096138

  10. Effectiveness of physical activity intervention among government employees with metabolic syndrome.

    Science.gov (United States)

    Huei Phing, Chee; Abu Saad, Hazizi; Barakatun Nisak, M Y; Mohd Nasir, M T

    2017-12-01

    Our study aimed to assess the effects of physical activity interventions via standing banners (point-of-decision prompt) and aerobics classes to promote physical activity among individuals with metabolic syndrome. We conducted a cluster randomized controlled intervention trial (16-week intervention and 8-week follow-up). Malaysian government employees in Putrajaya, Malaysia, with metabolic syndrome were randomly assigned by cluster to a point-of-decision prompt group (n = 44), an aerobics group (n = 42) or a control group (n = 103) based on sample size calculation formula. Step counts were evaluated by Lifecorder e-STEP accelerometers for all participants. Metabolic syndrome was defined according to the 'harmonizing' definition, in which individuals who have at least three of the five metabolic risk factors (waist circumference, high-density lipoprotein cholesterol, triglycerides, fasting glucose levels, systolic and diastolic blood pressure) will be classified as having metabolic syndrome. A total of 80% of the enrolled government employees with metabolic syndrome completed the programme. Data were analyzed using SPSS for Windows (version 20, SPSS, Chicago, IL). There were significantly higher step counts on average in the aerobics group compared to the control group over assessments. Assessments at baseline, post-intervention and follow-up showed a significant difference in step counts between the intervention and control groups. The greatest reductions in the proportions of individuals with metabolic syndrome were observed in the aerobics group with a reduction of 79.4% in the post-intervention assessment compared to the assessment at baseline. The findings of this study suggest that physical activity intervention via aerobics classes is an effective strategy for improving step counts and reducing the prevalence of metabolic syndrome.

  11. Prevalence of metabolic syndrome and its components based on a harmonious definition among adults in Morocco

    Directory of Open Access Journals (Sweden)

    El Brini O

    2014-07-01

    Full Text Available Otmane El Brini,1 Omar Akhouayri,1 Allal Gamal,2 Abdelhalem Mesfioui,1 Bouchra Benazzouz1 1Laboratory of Genetic, Neuroendocrinology and Biotechnology, University Ibn Tofail, Faculty of Sciences, Kenitra, Morocco; 2Diagnostic center, Rabat, Morocco Purpose: Metabolic syndrome is a cluster of risk factors for diabetes and cardiovascular diseases that includes central obesity, hypertension, glucose intolerance, high triglyceride, and low high-density lipoprotein cholesterol. Its prevalence is rapidly increasing worldwide. This study aimed to estimate the prevalence of the metabolic syndrome and associated risk factors in a representative sample of Morocco adults using the 2009 joint interim statement definition. Patients and methods: We analyzed data of 820 patients aged 19 years and older. For metabolic syndrome diagnosis, we used the criteria of the recently published joint interim statement (2009. Results: The prevalence of metabolic syndrome is 35.73% among all adults, 18.56% among men, and 40.12% among women. Prevalence increased with age, peaking among those aged 50–59 years. The most common abnormality highlights abdominal obesity (49.15%. Also, half of patients have one or two risk factors for developing this syndrome. Conclusion: The prevalence of metabolic syndrome and associated risk factors is high among adults in Morocco, especially in women. The most prevalent component of metabolic syndrome in our population was abdominal obesity. Keywords: central obesity, hypertension, glucose intolerance, triglyceride, cholesterol

  12. Androgenetic alopecia as an indicator of metabolic syndrome and cardiovascular risk.

    Science.gov (United States)

    Ertas, Ragip; Orscelik, Ozcan; Kartal, Demet; Dogan, Ali; Ertas, Sule Ketenci; Aydogdu, Ebru Guler; Ascioglu, Ozcan; Borlu, Murat

    2016-06-01

    Numerous studies have investigated a probable association between androgenetic alopecia (AGA) and cardiovascular disease (CVD) by researching limited and dispersed parameters. We aimed to evaluate both traditional and non-traditional cardiovascular risk factors in male patients with early-onset AGA. This case-control study included 68 participants: 51 male patients with early-onset AGA and 17 healthy male controls. Patients with AGA were classified into three groups according to the Hamilton-Norwood scale and the presence of vertex hair loss. Traditional and non-traditional cardiovascular risk factors were examined in all study subjects. Metabolic syndrome was diagnosed in 25 patients with AGA and in two control subjects (p baldness and controls (p < 0.05). The pulse-wave velocity values were also found to be significantly higher in patients (p < 0.001). A limitation of this study was the small study population. In conclusion, vertex pattern AGA appears to be a marker for early atherosclerosis. This finding supports the hypothesis that early-onset AGA alone could be an independent risk factor for CVD and metabolic syndrome.

  13. The effects of improved metabolic risk factors on bone turnover markers after 12 weeks of simvastatin treatment with or without exercise.

    Science.gov (United States)

    Jiang, Jun; Boyle, Leryn J; Mikus, Catherine R; Oberlin, Douglas J; Fletcher, Justin A; Thyfault, John P; Hinton, Pamela S

    2014-11-01

    Emerging evidence supports an association between metabolic risk factors and bone turnover. Statins and exercise independently improve metabolic risk factors; however whether improvements in metabolic risk factor affects bone turnover is unknown. The purpose of the present study was to: 1) evaluate the relationship between metabolic risk factors and bone turnover; and 2) determine if improvements in metabolic risk factors after 12 weeks of statin treatment, exercise or the combination affect bone turnover. Fifty participants with ≥2 metabolic syndrome defining characteristics were randomly assigned to one of three groups: statin (STAT: simvastatin, 40 mg/day), exercise (EX: brisk walking and/or slow jogging, 45 minutes/day, 5 days/week), or the combination (STAT+EX). Body composition and whole body bone mineral density were measured with dual energy X-ray absorptiometry. Serum markers of bone formation (bone specific alkaline phosphatase, BAP; osteocalcin, OC), resorption (C-terminal peptide of type I collagen, CTX) and metabolic risk factors were determined. Two-factor (time, group) repeated-measures ANCOVA was used to examine changes of metabolic risk factors and bone turnover. General linear models were used to determine the effect of pre-treatment metabolic risk factors on post-treatment bone turnover marker outcomes. Participants with ≥4 metabolic syndrome defining characteristics had lower pre-treatment OC than those with 3 or fewer. OC was negatively correlated with glucose, and CTX was positively correlated with cholesterol. STAT or STAT+EX lowered total and LDL cholesterol. The OC to CTX ratio decreased in all groups with no other significant changes in bone turnover. Higher pre-treatment insulin or body fat predicted a greater CTX reduction and a greater BAP/CTX increase. Metabolic risk factors were negatively associated with bone turnover markers. Short-term statin treatment with or without exercise lowered cholesterol and all treatments had a small

  14. Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome?

    DEFF Research Database (Denmark)

    Benyamin, B.; Sørensen, T.I.A.; Schousboe, K.

    2007-01-01

    and environmental factors influencing this cluster in a general population of twin pairs. MATERIALS AND METHODS: A multivariate genetic analysis was performed on nine endophenotypes associated with the metabolic syndrome from 625 adult twin pairs of the GEMINAKAR study of the Danish Twin Registry. RESULTS: All......AIMS/HYPOTHESIS: The cluster of obesity, insulin resistance, dyslipidaemia and hypertension, called the metabolic syndrome, has been suggested as a risk factor for cardiovascular disease and type 2 diabetes. The aim of the present study was to evaluate whether there are common genetic...... endophenotypes showed moderate to high heritability (0.31-0.69) and small common environmental variance (0.05-0.21). In general, genetic and phenotypic correlations between the endophenotypes were strong only within sets of physiologically similar endophenotypes, but weak to moderate for other pairs...

  15. Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome.

    Science.gov (United States)

    Siopi, Aikaterina; Deda, Olga; Manou, Vasiliki; Kellis, Spyros; Kosmidis, Ioannis; Komninou, Despina; Raikos, Nikolaos; Christoulas, Kosmas; Theodoridis, Georgios A; Mougios, Vassilis

    2017-01-26

    Exercise is important in the prevention and treatment of the metabolic syndrome (MetS), a cluster of risk factors that raises morbidity. Metabolomics can facilitate the optimization of exercise prescription. This study aimed to investigate whether the response of the human urinary metabolic fingerprint to exercise depends on the presence of MetS or exercise mode. Twenty-three sedentary men (MetS, n = 9, and Healthy, n = 14) completed four trials: resting, high-intensity interval exercise (HIIE), continuous moderate-intensity exercise (CME), and resistance exercise (RE). Urine samples were collected pre-exercise and at 2, 4, and 24 h for targeted analysis by liquid chromatography-mass spectrometry. Time exerted the strongest differentiating effect, followed by exercise mode and health status. The greatest changes were observed in the first post-exercise samples, with a gradual return to baseline at 24 h. RE caused the greatest responses overall, followed by HIIE, while CME had minimal effect. The metabolic fingerprints of the two groups were separated at 2 h, after HIIE and RE; and at 4 h, after HIIE, with evidence of blunted response to exercise in MetS. Our findings show diverse responses of the urinary metabolic fingerprint to different exercise modes in men with and without metabolic syndrome.

  16. Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome

    Directory of Open Access Journals (Sweden)

    Aikaterina Siopi

    2017-01-01

    Full Text Available Exercise is important in the prevention and treatment of the metabolic syndrome (MetS, a cluster of risk factors that raises morbidity. Metabolomics can facilitate the optimization of exercise prescription. This study aimed to investigate whether the response of the human urinary metabolic fingerprint to exercise depends on the presence of MetS or exercise mode. Twenty-three sedentary men (MetS, n = 9, and Healthy, n = 14 completed four trials: resting, high-intensity interval exercise (HIIE, continuous moderate-intensity exercise (CME, and resistance exercise (RE. Urine samples were collected pre-exercise and at 2, 4, and 24 h for targeted analysis by liquid chromatography-mass spectrometry. Time exerted the strongest differentiating effect, followed by exercise mode and health status. The greatest changes were observed in the first post-exercise samples, with a gradual return to baseline at 24 h. RE caused the greatest responses overall, followed by HIIE, while CME had minimal effect. The metabolic fingerprints of the two groups were separated at 2 h, after HIIE and RE; and at 4 h, after HIIE, with evidence of blunted response to exercise in MetS. Our findings show diverse responses of the urinary metabolic fingerprint to different exercise modes in men with and without metabolic syndrome.

  17. Circulating Levels of Uric Acid and Risk for Metabolic Syndrome.

    Science.gov (United States)

    Rubio-Guerra, Alberto F; Morales-López, Herlinda; Garro-Almendaro, Ana K; Vargas-Ayala, German; Durán-Salgado, Montserrat B; Huerta-Ramírez, Saul; Lozano-Nuevo, Jose J

    2017-01-01

    Hyperuricemia leads to insulin resistance, whereas insulin resistance decreases renal excretion of uric acid, both mechanisms link elevated serum uric acid with metabolic syndrome. The aim of this study is to evaluate the probability for the development of metabolic syndrome in low-income young adults with hyperuricaemia. We evaluated 103 patients less than 40 years of age, from a low-income population, and without history of cardiovascular disease, in all of them the presence of metabolic syndrome was assessed in accordance with the International Diabetes Federation criteria. In all patients, fasting serum uric acid levels were measured; hyperuricaemia was defined as serum uric acid values 6.5 mg/dl in men and 5.1 mg/dl in women. Statistical analysis was performed with odds ratio. 83 of our patients (80.5%) suffered metabolic syndrome, the odds ratio for the presence of metabolic syndrome in patients with hyperuricaemia was 5.1 (p=0.002, I.C 1.8- 14.5). When patients were evaluated by gender a significantly association between hyperuricaemia and metabolic syndrome was found in women (odds ratio 3.6, p=0.048, C.I. 1.0-12.9), and men (odds ratio 10.2, p= 0.015, IC 1.5-13.2). When uric acid was correlated with the components of metabolic syndrome, we only found a positive correlation with waist circumference (r=0.483). Our results showed a significant association between hyperuricemia and metabolic syndrome in low-income young adults in Mexico. DR is associated with estimated risk of CVD in type 2 diabetic patients. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  18. Gender differences in the association between westernization and metabolic risk among Greenland Inuit

    DEFF Research Database (Denmark)

    Jørgensen, Marit Eika; Moustgaard, Helene; Bjerregaard, Peter

    2006-01-01

    BACKGROUND: The Inuit have gone through an accelerated process of modernization especially since 1950. Primarily because of the dietary transition, westernisation is expected to influence the Inuit's metabolic risk in a negative way with respect to cardiovascular risk. The aim was to analyze meta...

  19. Leisure-time exercise, physical activity during work and commuting, and risk of metabolic syndrome.

    Science.gov (United States)

    Kuwahara, Keisuke; Honda, Toru; Nakagawa, Tohru; Yamamoto, Shuichiro; Akter, Shamima; Hayashi, Takeshi; Mizoue, Tetsuya

    2016-09-01

    Data are limited regarding effect of intensity of leisure-time physical activity on metabolic syndrome. Furthermore, no prospective data are available regarding effect of occupational and commuting physical activity on metabolic syndrome. We compared metabolic syndrome risk by intensity level of leisure-time exercise and by occupational and commuting physical activity in Japanese workers. We followed 22,383 participants, aged 30-64 years, without metabolic syndrome until 2014 March (maximum, 5 years of follow-up). Physical activity was self-reported. Metabolic syndrome was defined by the Joint Statement criteria. We used Cox regression models to estimate the hazard ratios (HRs) and 95 % confidence intervals (CIs) of metabolic syndrome. During a mean follow-up of 4.1 years, 5361 workers developed metabolic syndrome. After adjustment for covariates, compared with engaging in no exercise, the HRs (95 % CIs) for metabolic equivalent hours of exercise per week were 0.99 (0.90, 1.08), 0.99 (0.90, 1.10), and 0.95 (0.83, 1.08), respectively, among individuals engaging in moderate-intensity exercise alone; 0.93 (0.75, 1.14), 0.81 (0.64, 1.02), and 0.84 (0.66, 1.06), among individuals engaging in vigorous-intensity exercise alone; and 0.90 (0.70, 1.17), 0.74 (0.62, 0.89), and 0.81 (0.69, 0.96) among individuals engaging in the two intensities. Higher occupational physical activity was weakly but significantly associated with lower risk of metabolic syndrome. Walking to and from work was not associated with metabolic syndrome. Vigorous-intensity exercise alone or vigorous-intensity combined with moderate-intensity exercise and worksite intervention for physical activity may help prevent metabolic syndrome for Japanese workers.

  20. Cardiorespiratory Fitness, Metabolic Risk, and Inflammation in Children

    Directory of Open Access Journals (Sweden)

    Antonios D. Christodoulos

    2012-01-01

    Full Text Available The aim of this study was to investigate the independent associations among cardiorespiratory fitness, metabolic syndrome (MetS, and C-reactive protein (CRP in children. The sample consisted of 112 children (11.4  ±  0.4 years. Data was obtained for children’s anthropometry, cardiorespiratory fitness, MetS components, and CRP levels. MetS was defined using criteria analogous to the Adult Treatment Panel III definition. A MetS risk score was also computed. Prevalence of the MetS was 5.4%, without gender differences. Subjects with low fitness showed significantly higher MetS risk (<0.001 and CRP (<0.007, compared to the high-fitness pupils. However, differences in MetS risk, and CRP between fitness groups decreased when adjusted for waist circumference. These data indicate that the mechanisms linking cardiorespiratory fitness, MetS risk and inflammation in children are extensively affected by obesity. Intervention strategies aiming at reducing obesity and improving cardiorespiratory fitness in childhood might contribute to the prevention of the MetS in adulthood.

  1. Who's your daddy?: paternal inheritance of metabolic disease risk.

    Science.gov (United States)

    Isganaitis, Elvira; Suehiro, Harumi; Cardona, Connie

    2017-02-01

    Although the importance of optimizing mothers' health prior to conception and during pregnancy is now well accepted, recent data also implicate health and nutritional status of fathers as contributors to chronic disease risk in their progeny. This brief review will highlight recent epidemiological and experimental studies linking paternal overnutrition, undernutrition, and other forms of stress, to metabolic disease in the offspring. The past 2 years have brought tremendous insights into the mechanisms by which paternal exposures can contribute to disease susceptibility in the next generation. Recent data, both from humans and experimental models, demonstrate that paternal obesity and undernutrition result in epigenetic reprogramming of male germ cells, notably altered DNA methylation, histone retention, and expression of small noncoding RNAs and transfer RNA fragments. Novel mechanisms have also been identified, such as epididymal transport vesicles, seminal fluid hormones and metabolites, and a unique seminal fluid microbiome. Paternal nutritional and other perturbations are linked to risk of metabolic disease and obesity in offspring. Germ cell-dependent mechanisms have recently been linked to these intergenerational effects. Nongenetic, paternal inheritance of chronic disease has important implications for public health, and may provide novel opportunities for multigenerational disease prevention.

  2. Effects of smoking and aerobic exercise on male college students' metabolic syndrome risk factors.

    Science.gov (United States)

    Kim, Jee-Youn; Yang, Yuhao; Sim, Young-Je

    2018-04-01

    [Purpose] The aim was to investigate the effects of university students' smoking and aerobic exercise on metabolic syndrome risk factors. [Subjects and Methods] Twenty-three male students were randomly assigned to the following groups: exercise smoker (n=6), non-exercise smoker (n=6), exercise non-smoker (n=6), and non-exercise non-smoker (n=5). A basketball exercise program was conducted three times per week (70 minutes per session) for 8 weeks with exercise intensity set at 50-80% of heart rate reserve. After 8 weeks, the variables of risk factors for metabolic syndrome were obtained. [Results] Systolic blood pressure and diastolic blood pressure were significantly decreased in the exercise non-smoker group and significantly increased in the non-exercise smoker group. Waist circumference was significantly reduced in both exercise groups regardless of smoking and significantly increased in the non-exercise smoker group. Triglyceride, high-density lipoprotein-cholesterol, and fasting plasma glucose showed no differences between the groups. [Conclusion] Obesity and smoking management should be conducted together for students as well as for those with metabolic syndrome risk factors. It is recommended that more students participate in such programs, and exercise programs should be further developed and diversified to prevent metabolic syndrome and cardiovascular diseases.

  3. Sociocultural Characteristic, Lifestyle, and Metabolic Risk Factors Among a Sample of Kuwaiti Male University Students.

    Science.gov (United States)

    Al-Sejari, Maha

    2017-03-01

    In the past six decades, the Kuwaiti population has been exposed to rapid transformation in the quality of diet intake, daily activities, and career types. This major socioeconomic shift was accompanied by the introduction of both communicable and noncommunicable chronic diseases afflicting people of all ages. This article aims to detect a relationship between sociocultural characteristics-such as physical activity, dietary habits, and smoking-and the prevalence of metabolic syndrome (MetS). A descriptive, cross-sectional survey was conducted among 262 male university students in Kuwait; participants were selected by using a convenient nonrandom opportunistic sample. Associated social and health factors were obtained using a closed-ended questionnaire. BMI and blood tests that include clusters of MetS risk components were drawn from participants in primary health care clinics. More than half of the participants were overweight and obese; 74.4% of the participants reported they did not visit a nutritionist; 69.8% said that they are currently not on a diet; 53.4% of the students were nonsmokers; 42.7% reported moderate to very low daily physical activity. The prevalence of MetS components increased among students with older age, employed, and married ( p students needs to be considered by Kuwaiti community members and the government to highlight the risk factors of MetS on individuals' well-being, quality of life, and life expectation.

  4. Gender specific effect of major dietary patterns on the metabolic syndrome risk in Korean pre-pubertal children

    OpenAIRE

    Park, Soo Jin; Lee, Seung Min; Kim, Seon Mee; Lee, Myoungsook

    2013-01-01

    There is a lack of data on metabolic risk factors during pre-puberty, which is important for identifying the subgroups of youth, at whom early interventions should be targeted. In this study, we evaluated the prevalence of metabolic risk factors and its subsequent relations with dietary patterns in Korean pre-pubertal children through a cross-sectional sample (n = 1,008; boys = 513) of pre-pubertal children (aged 8-9 years) from a sub-study of the Korea Metabolic Syndrome Research Initiatives...

  5. Detection of major climatic and environmental predictors of liver fluke exposure risk in Ireland using spatial cluster analysis.

    Science.gov (United States)

    Selemetas, Nikolaos; de Waal, Theo

    2015-04-30

    Fasciolosis caused by Fasciola hepatica (liver fluke) can cause significant economic and production losses in dairy cow farms. The aim of the current study was to identify important weather and environmental predictors of the exposure risk to liver fluke by detecting clusters of fasciolosis in Ireland. During autumn 2012, bulk-tank milk samples from 4365 dairy farms were collected throughout Ireland. Using an in-house antibody-detection ELISA, the analysis of BTM samples showed that 83% (n=3602) of dairy farms had been exposed to liver fluke. The Getis-Ord Gi* statistic identified 74 high-risk and 130 low-risk significant (Pclimatic variables (monthly and seasonal mean rainfall and temperatures, total wet days and rain days) and environmental datasets (soil types, enhanced vegetation index and normalised difference vegetation index) were used to investigate dissimilarities in the exposure to liver fluke between clusters. Rainfall, total wet days and rain days, and soil type were the significant classes of climatic and environmental variables explaining the differences between significant clusters. A discriminant function analysis was used to predict the exposure risk to liver fluke using 80% of data for modelling and the remaining subset of 20% for post hoc model validation. The most significant predictors of the model risk function were total rainfall in August and September and total wet days. The risk model presented 100% sensitivity and 91% specificity and an accuracy of 95% correctly classified cases. A risk map of exposure to liver fluke was constructed with higher probability of exposure in western and north-western regions. The results of this study identified differences between clusters of fasciolosis in Ireland regarding climatic and environmental variables and detected significant predictors of the exposure risk to liver fluke. Copyright © 2015 Elsevier B.V. All rights reserved.

  6. A Comparison of the Prevalence of Metabolic Syndrome among Fast-Attack Submariners with U.S. Civilian Males

    Science.gov (United States)

    2009-09-14

    sedentary lifestyle and excessive caloric intake poses an increased risk for metabolic syndrome, a clustering of abnormalities correlated with...Caucasian ethnicity, (5) sedentary lifestyle , (6) obesity, indicated by BMI > 25.0 kg/m2 or waist circumference >40 inches, (7) age >40 years. Of these...risk factors, degree of obesity and sedentary lifestyle were described in the position statement as “the most powerful modulators of insulin action

  7. Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study.

    Science.gov (United States)

    Lee, Sunghee; Lee, Seung Ku; Kim, Jong Yeol; Cho, Namhan; Shin, Chol

    2017-09-02

    To examine whether the use of Sasang constitutional (SC) types, such as Tae-yang (TY), Tae-eum (TE), So-yang (SY), and So-eum (SE) types, increases the accuracy of risk prediction for metabolic syndrome. From 2001 to 2014, 3529 individuals aged 40 to 69 years participated in a longitudinal prospective cohort. The Cox proportional hazard model was utilized to predict the risk of developing metabolic syndrome. During the 14 year follow-up, 1591 incident events of metabolic syndrome were observed. Individuals with TE type had higher body mass indexes and waist circumferences than individuals with SY and SE types. The risk of developing metabolic syndrome was the highest among individuals with the TE type, followed by the SY type and the SE type. When the prediction risk models for incident metabolic syndrome were compared, the area under the curve for the model using SC types was significantly increased to 0.8173. Significant predictors for incident metabolic syndrome were different according to the SC types. For individuals with the TE type, the significant predictors were age, sex, body mass index (BMI), education, smoking, drinking, fasting glucose level, high-density lipoprotein (HDL) cholesterol level, systolic and diastolic blood pressure, and triglyceride level. For Individuals with the SE type, the predictors were sex, smoking, fasting glucose, HDL cholesterol level, systolic and diastolic blood pressure, and triglyceride level, while the predictors in individuals with the SY type were age, sex, BMI, smoking, drinking, total cholesterol level, fasting glucose level, HDL cholesterol level, systolic and diastolic blood pressure, and triglyceride level. In this prospective cohort study among 3529 individuals, we observed that utilizing the SC types significantly increased the accuracy of the risk prediction for the development of metabolic syndrome.

  8. The Relationship Between Shift Work and Metabolic Risk Factors : A Systematic Review of Longitudinal Studies

    NARCIS (Netherlands)

    Proper, Karin I; van de Langenberg, Daniëlla|info:eu-repo/dai/nl/374886970; Rodenburg, Wendy; Vermeulen, Roel C H|info:eu-repo/dai/nl/216532620; van der Beek, Allard J; van Steeg, Harry; van Kerkhof, Linda W M

    2016-01-01

    CONTEXT: Although the metabolic health effects of shift work have been extensively studied, a systematic synthesis of the available research is lacking. This review aimed to systematically summarize the available evidence of longitudinal studies linking shift work with metabolic risk factors.

  9. Dietary fructose and risk of metabolic syndrome in adults: Tehran Lipid and Glucose study.

    Science.gov (United States)

    Hosseini-Esfahani, Firoozeh; Bahadoran, Zahra; Mirmiran, Parvin; Hosseinpour-Niazi, Somayeh; Hosseinpanah, Farhad; Azizi, Fereidoun

    2011-07-12

    Studies have shown that the excessive fructose intake may induce adverse metabolic effects. There is no direct evidence from epidemiological studies to clarify the association between usual amounts of fructose intake and the metabolic syndrome. The aim this study was to determine the association of fructose intake and prevalence of metabolic syndrome (MetS) and its components in Tehranian adults. This cross-sectional population based study was conducted on 2537 subjects (45% men) aged 19-70 y, participants of the Tehran Lipid and Glucose Study (2006-2008). Dietary data were collected using a validated 168 item semi-quantitative food frequency questionnaire. Dietary fructose intake was calculated by sum of natural fructose (NF) in fruits and vegetables and added fructose (AF) in commercial foods. MetS was defined according to the modified NCEP ATP III for Iranian adults. The mean ages of men and women were 40.5 ± 13.6 and 38.6 ± 12.8 years, respectively. Mean total dietary fructose intakes were 46.5 ± 24.5 (NF: 19.6 ± 10.7 and AF: 26.9 ± 13.9) and 37.3 ± 24.2 g/d (NF: 18.6 ± 10.5 and AF: 18.7 ± 13.6) in men and women, respectively. Compared with those in the lowest quartile of fructose intakes, men and women in the highest quartile, respectively, had 33% (95% CI, 1.15-1.47) and 20% (95% CI, 1.09-1.27) higher risk of the metabolic syndrome; 39% (CI, 1.16-1.63) and 20% (CI, 1.07-1.27) higher risk of abdominal obesity; 11% (CI, 1.02-1.17) and 9% (CI, 1.02-1.14) higher risk of hypertension; and 9% (CI, 1-1.15) and 9% (1.04-1.12) higher risk of impaired fasting glucose. Higher consumption of dietary fructose may have adverse metabolic effects.

  10. Risk of metabolic syndrome among children living in metropolitan Kuala Lumpur: A case control study

    Directory of Open Access Journals (Sweden)

    Ismail Mohd N

    2011-05-01

    Full Text Available Abstract Background With the increasing prevalence of childhood obesity, the metabolic syndrome has been studied among children in many countries but not in Malaysia. Hence, this study aimed to compare metabolic risk factors between overweight/obese and normal weight children and to determine the influence of gender and ethnicity on the metabolic syndrome among school children aged 9-12 years in Kuala Lumpur and its metropolitan suburbs. Methods A case control study was conducted among 402 children, comprising 193 normal-weight and 209 overweight/obese. Weight, height, waist circumference (WC and body composition were measured, and WHO (2007 growth reference was used to categorise children into the two weight groups. Blood pressure (BP was taken, and blood was drawn after an overnight fast to determine fasting blood glucose (FBG and full lipid profile, including triglycerides (TG, high-density lipoprotein cholesterol (HDL-C, low-density lipoprotein cholesterol (LDL-C and total cholesterol (TC. International Diabetes Federation (2007 criteria for children were used to identify metabolic syndrome. Results Participants comprised 60.9% (n = 245 Malay, 30.9% (n = 124 Chinese and 8.2% (n = 33 Indian. Overweight/obese children showed significantly poorer biochemical profile, higher body fat percentage and anthropometric characteristics compared to the normal-weight group. Among the metabolic risk factors, WC ≥90th percentile was found to have the highest odds (OR = 189.0; 95%CI 70.8, 504.8, followed by HDL-C≤1.03 mmol/L (OR = 5.0; 95%CI 2.4, 11.1 and high BP (OR = 4.2; 95%CI 1.3, 18.7. Metabolic syndrome was found in 5.3% of the overweight/obese children but none of the normal-weight children (p Conclusions We conclude that being overweight or obese poses a greater risk of developing the metabolic syndrome among children. Indian ethnicity is at higher risk compared to their counterparts of the same age. Hence, primary intervention strategies are

  11. Resting Heart Rate Is Not a Good Predictor of a Clustered Cardiovascular Risk Score in Adolescents: The HELENA Study.

    Directory of Open Access Journals (Sweden)

    Augusto César Ferreira de Moraes

    Full Text Available Resting heart rate (RHR reflects sympathetic nerve activity a significant association between RHR and all-cause and cardiovascular mortality has been reported in some epidemiologic studies.To analyze the predictive power and accuracy of RHR as a screening measure for individual and clustered cardiovascular risk in adolescents. The study comprised 769 European adolescents (376 boys participating in the HELENA cross-sectional study (2006-2008 were included in this study. Measurements on systolic blood pressure, HOMA index, triglycerides, TC/HDL-c, VO2máx and the sum of four skinfolds were obtained, and a clustered cardiovascular disease (CVD risk index was computed. The receiver operating characteristics curve was applied to calculate the power and accuracy of RHR to predict individual and clustered CVD risk factors.RHR showed low accuracy for screening CVD risk factors in both sexes (range 38.5%-54.4% in boys and 45.5%-54.3% in girls. Low specificity's (15.6%-19.7% in boys; 18.1%-20.0% in girls were also found. Nevertheless, the sensitivities were moderate-to-high (61.4%-89.1% in boys; 72.9%-90.3% in girls.RHR is a poor predictor of individual CVD risk factors and of clustered CVD and the estimates based on RHR are not accurate. The use of RHR as an indicator of CVD risk in adolescents may produce a biased screening of cardiovascular health in both sexes.

  12. Serum vitamin D levels, diabetes and cardio-metabolic risk factors in Aboriginal and Torres Strait Islander Australians.

    Science.gov (United States)

    Maple-Brown, Louise J; Hughes, Jaquelyne T; Lu, Zhong X; Jeyaraman, Kanakamani; Lawton, Paul; Jones, Graham Rd; Ellis, Andrew; Sinha, Ashim; Cass, Alan; MacIsaac, Richard J; Jerums, George; O'Dea, Kerin

    2014-01-01

    Low levels of serum 25-hydroxy vitamin D (25(OH)D), have been associated with development of type 2 diabetes and cardiovascular disease (CVD); however there are limited data on serum 25(OH)D in Indigenous Australians, a population at high risk for both diabetes and CVD. We aimed to assess levels of serum 25(OH)D in Aboriginal and Torres Strait Islander Australians and to explore relationships between 25(OH)D and cardio-metabolic risk factors and diabetes. 592 Aboriginal and/or Torres Strait Islander Australian participants of The eGFR (estimated glomerular filtration rate) Study, a cross-sectional analysis of a cohort study performed in 2007-2011, from urban and remote centres within communities, primary care and tertiary hospitals across Northern Territory, Far North Queensland and Western Australia. Assessment of serum 25(OH)D, cardio-metabolic risk factors (central obesity, diabetes, hypertension, history of cardiovascular disease, current smoker, low HDL-cholesterol), and diabetes (by history or HbA1c ≥6.5%) was performed. Associations were explored between 25(OH)D and outcome measures of diabetes and number of cardio-metabolic risk factors. The median (IQR) serum 25(OH)D was 60 (45-77) nmol/L, 31% had 25(OH)D 72 nmol/L, respectively) after adjusting for known cardio-metabolic risk factors. The percentage of 25(OH)D levels Aboriginal and Torres Strait Islander Australians from Northern and Central Australia. Low 25(OH)D level was associated with adverse cardio-metabolic risk profile and was independently associated with diabetes. These findings require exploration in longitudinal studies.

  13. Metabolic syndrome and cognitive decline: the role of physical activity

    Directory of Open Access Journals (Sweden)

    M. Rinaldi

    2013-01-01

    Full Text Available Metabolic Syndrome (MetS is a cluster of conditions, each of which represents a risk factor for cardiovascular disease: central obesity, hyperglycemia, dyslipidemia and hypertension. Any of these conditions and MetS itself have been associated to Alzheimer's Disease and Vascular Dementia. In recent years there is a growing evidence for the role of physical activity in preventing metabolic diseases and cognitive decline. In our research we assessed the prevalence of MetS in a sample of 154 elderly people. Furthermore, we evaluated cognition (with Mini Mental State Examination, MMSE  and the physical activity level in every patient. We found a significant association between MetS, borderline cognitive impairment and sedentary lifestyle.

  14. Clinical fracture risk evaluated by hierarchical agglomerative clustering

    DEFF Research Database (Denmark)

    Kruse, C; Eiken, P; Vestergaard, P

    2017-01-01

    reimbursement, primary healthcare sector use and comorbidity of female subjects were combined. Standardized variable means, Euclidean distances and Ward's D2 method of hierarchical agglomerative clustering (HAC), were used to form the clustering object. K number of clusters was selected with the lowest cluster...

  15. The relationship between physical fitness and clustered risk, and tracking of clustered risk from adolescence to young adulthood: eight years follow-up in the Danish Youth and Sport Study

    DEFF Research Database (Denmark)

    Andersen, Lars Bo; Hasselstrøm, Henriette; Hansen, Stig Eiberg

    2004-01-01

    was defined as being at risk, and if a subject had two or more risk factors, he/she was defined as a case (15-20 % of the subjects). Odds ratios (OR) for being a case was calculated between quartiles of fitness in both cross-sectional studies. The stability of combined risk was calculated as the OR between...... cases and non-cases at the first examination to be a case at the second examination. RESULTS: ORs for having two or more risk factors between quartiles of fitness were 3.1, 3.8 and 4.9 for quartiles two to four, respectively. At the second examination, OR were 0.7, 3.5 and 4.9, respectively....... The probability for "a case" at the first examination to be "a case" at the second was 6.0. CONCLUSIONS: The relationship between an exposure like physical fitness and CVD risk factors is much stronger when clustering of risk factors are analysed compared to the relationship to single risk factors. The stability...

  16. A two-stage approach to estimate spatial and spatio-temporal disease risks in the presence of local discontinuities and clusters.

    Science.gov (United States)

    Adin, A; Lee, D; Goicoa, T; Ugarte, María Dolores

    2018-01-01

    Disease risk maps for areal unit data are often estimated from Poisson mixed models with local spatial smoothing, for example by incorporating random effects with a conditional autoregressive prior distribution. However, one of the limitations is that local discontinuities in the spatial pattern are not usually modelled, leading to over-smoothing of the risk maps and a masking of clusters of hot/coldspot areas. In this paper, we propose a novel two-stage approach to estimate and map disease risk in the presence of such local discontinuities and clusters. We propose approaches in both spatial and spatio-temporal domains, where for the latter the clusters can either be fixed or allowed to vary over time. In the first stage, we apply an agglomerative hierarchical clustering algorithm to training data to provide sets of potential clusters, and in the second stage, a two-level spatial or spatio-temporal model is applied to each potential cluster configuration. The superiority of the proposed approach with regard to a previous proposal is shown by simulation, and the methodology is applied to two important public health problems in Spain, namely stomach cancer mortality across Spain and brain cancer incidence in the Navarre and Basque Country regions of Spain.

  17. Metabolic syndrome in the Mediterranean region: Current status

    Directory of Open Access Journals (Sweden)

    Panagiotis Anagnostis

    2012-01-01

    Full Text Available Metabolic syndrome (MetS is a cluster of metabolic abnormalities including abdominal obesity, impaired fasting glucose, hypertension and dyslipidemia. It seems to affect about one-fourth to one-fifth of the Mediterranean population, and its prevalence increases with age, being similar for both sexes and depending on the region and the definition used, with the National Cholesterol Education Program-Adult Treatment Panel-III (NCEP-ATPIII definition being the most effective in the identification of glucose intolerance and cardiovascular risk. Except for these, MetS is associated with fatty liver disease, some forms of cancer, hypogonadism, and vascular dementia. The Mediterranean diet seems to be an ideal diet in patients with MetS, being rich in fibre, monounsaturated and polyunsaturated fats, and low in animal protein; and decreases the prevalence of MetS and cardiovascular disease risk. Except for weight loss, multifactorial intervention including insulin resistance reduction and normoglycemia, management of dyslipidemia, optimizing blood pressure and administration of low-dose aspirin for patients at high or moderately high cardiovascular disease (CVD risk are additional targets. The present review provides current understanding about MetS in the Mediterranean region, focusing on its prevalence, clinical significance, and therapeutic strategy.

  18. Metabolic syndrome in the Mediterranean region: Current status.

    Science.gov (United States)

    Anagnostis, Panagiotis

    2012-01-01

    Metabolic syndrome (MetS) is a cluster of metabolic abnormalities including abdominal obesity, impaired fasting glucose, hypertension and dyslipidemia. It seems to affect about one-fourth to one-fifth of the Mediterranean population, and its prevalence increases with age, being similar for both sexes and depending on the region and the definition used, with the National Cholesterol Education Program-Adult Treatment Panel-III (NCEP-ATPIII) definition being the most effective in the identification of glucose intolerance and cardiovascular risk. Except for these, MetS is associated with fatty liver disease, some forms of cancer, hypogonadism, and vascular dementia. The Mediterranean diet seems to be an ideal diet in patients with MetS, being rich in fibre, monounsaturated and polyunsaturated fats, and low in animal protein; and decreases the prevalence of MetS and cardiovascular disease risk. Except for weight loss, multifactorial intervention including insulin resistance reduction and normoglycemia, management of dyslipidemia, optimizing blood pressure and administration of low-dose aspirin for patients at high or moderately high cardiovascular disease (CVD) risk are additional targets. The present review provides current understanding about MetS in the Mediterranean region, focusing on its prevalence, clinical significance, and therapeutic strategy.

  19. Multiplatform serum metabolic phenotyping combined with pathway mapping to identify biochemical differences in smokers.

    Science.gov (United States)

    Kaluarachchi, Manuja R; Boulangé, Claire L; Garcia-Perez, Isabel; Lindon, John C; Minet, Emmanuel F

    2016-10-01

    Determining perturbed biochemical functions associated with tobacco smoking should be helpful for establishing causal relationships between exposure and adverse events. A multiplatform comparison of serum of smokers (n = 55) and never-smokers (n = 57) using nuclear magnetic resonance spectroscopy, UPLC-MS and statistical modeling revealed clustering of the classes, distinguished by metabolic biomarkers. The identified metabolites were subjected to metabolic pathway enrichment, modeling adverse biological events using available databases. Perturbation of metabolites involved in chronic obstructive pulmonary disease, cardiovascular diseases and cancer were identified and discussed. Combining multiplatform metabolic phenotyping with knowledge-based mapping gives mechanistic insights into disease development, which can be applied to next-generation tobacco and nicotine products for comparative risk assessment.

  20. A comparison of standard definitions and sagittal abdominal diameter as a measure of excess adiposity when defining metabolic syndrome in adolescents

    Science.gov (United States)

    Introduction: Metabolic syndrome (MeTS) is the cluster of several clinical symptoms that together represent the strongest risk factor for cardiovascular disease. The prevalence of MeTS in adolescents is difficult to estimate given that there are several, but no agreed upon defini...

  1. Risk of metabolic syndrome among children living in metropolitan Kuala Lumpur: a case control study.

    Science.gov (United States)

    Wee, Bee S; Poh, Bee K; Bulgiba, Awang; Ismail, Mohd N; Ruzita, Abdul T; Hills, Andrew P

    2011-05-18

    With the increasing prevalence of childhood obesity, the metabolic syndrome has been studied among children in many countries but not in Malaysia. Hence, this study aimed to compare metabolic risk factors between overweight/obese and normal weight children and to determine the influence of gender and ethnicity on the metabolic syndrome among school children aged 9-12 years in Kuala Lumpur and its metropolitan suburbs. A case control study was conducted among 402 children, comprising 193 normal-weight and 209 overweight/obese. Weight, height, waist circumference (WC) and body composition were measured, and WHO (2007) growth reference was used to categorise children into the two weight groups. Blood pressure (BP) was taken, and blood was drawn after an overnight fast to determine fasting blood glucose (FBG) and full lipid profile, including triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC). International Diabetes Federation (2007) criteria for children were used to identify metabolic syndrome. Participants comprised 60.9% (n = 245) Malay, 30.9% (n = 124) Chinese and 8.2% (n = 33) Indian. Overweight/obese children showed significantly poorer biochemical profile, higher body fat percentage and anthropometric characteristics compared to the normal-weight group. Among the metabolic risk factors, WC ≥90th percentile was found to have the highest odds (OR = 189.0; 95%CI 70.8, 504.8), followed by HDL-C≤1.03 mmol/L (OR = 5.0; 95%CI 2.4, 11.1) and high BP (OR = 4.2; 95%CI 1.3, 18.7). Metabolic syndrome was found in 5.3% of the overweight/obese children but none of the normal-weight children (p < 0.01). Overweight/obese children had higher odds (OR = 16.3; 95%CI 2.2, 461.1) of developing the metabolic syndrome compared to normal-weight children. Binary logistic regression showed no significant association between age, gender and family history of communicable diseases with the metabolic

  2. Alimentary Habits, Physical Activity, and Framingham Global Risk Score in Metabolic Syndrome

    International Nuclear Information System (INIS)

    Soares, Thays Soliman; Piovesan, Carla Haas; Gustavo, Andréia da Silva; Macagnan, Fabrício Edler; Bodanese, Luiz Carlos; Feoli, Ana Maria Pandolfo

    2014-01-01

    Metabolic syndrome is a complex disorder represented by a set of cardiovascular risk factors. A healthy lifestyle is strongly related to improve Quality of Life and interfere positively in the control of risk factors presented in this condition. To evaluate the effect of a program of lifestyle modification on the Framingham General Cardiovascular Risk Profile in subjects diagnosed with metabolic syndrome. A sub-analysis study of a randomized clinical trial controlled blind that lasted three months. Participants were randomized into four groups: dietary intervention + placebo (DIP), dietary intervention + supplementation of omega 3 (fish oil 3 g/day) (DIS3), dietary intervention + placebo + physical activity (DIPE) and dietary intervention + physical activity + supplementation of omega 3 (DIS3PE). The general cardiovascular risk profile of each individual was calculated before and after the intervention. The study included 70 subjects. Evaluating the score between the pre and post intervention yielded a significant value (p < 0.001). We obtained a reduction for intermediate risk in 25.7% of subjects. After intervention, there was a significant reduction (p < 0.01) on cardiovascular age, this being more significant in groups DIP (5.2%) and DIPE (5.3%). Proposed interventions produced beneficial effects for reducing cardiovascular risk score. This study emphasizes the importance of lifestyle modification in the prevention and treatment of cardiovascular diseases

  3. Alimentary Habits, Physical Activity, and Framingham Global Risk Score in Metabolic Syndrome

    Energy Technology Data Exchange (ETDEWEB)

    Soares, Thays Soliman; Piovesan, Carla Haas; Gustavo, Andréia da Silva; Macagnan, Fabrício Edler; Bodanese, Luiz Carlos; Feoli, Ana Maria Pandolfo, E-mail: anamariafeoli@hotmail.com [Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS (Brazil)

    2014-04-15

    Metabolic syndrome is a complex disorder represented by a set of cardiovascular risk factors. A healthy lifestyle is strongly related to improve Quality of Life and interfere positively in the control of risk factors presented in this condition. To evaluate the effect of a program of lifestyle modification on the Framingham General Cardiovascular Risk Profile in subjects diagnosed with metabolic syndrome. A sub-analysis study of a randomized clinical trial controlled blind that lasted three months. Participants were randomized into four groups: dietary intervention + placebo (DIP), dietary intervention + supplementation of omega 3 (fish oil 3 g/day) (DIS3), dietary intervention + placebo + physical activity (DIPE) and dietary intervention + physical activity + supplementation of omega 3 (DIS3PE). The general cardiovascular risk profile of each individual was calculated before and after the intervention. The study included 70 subjects. Evaluating the score between the pre and post intervention yielded a significant value (p < 0.001). We obtained a reduction for intermediate risk in 25.7% of subjects. After intervention, there was a significant reduction (p < 0.01) on cardiovascular age, this being more significant in groups DIP (5.2%) and DIPE (5.3%). Proposed interventions produced beneficial effects for reducing cardiovascular risk score. This study emphasizes the importance of lifestyle modification in the prevention and treatment of cardiovascular diseases.

  4. Metabolic syndrome: definitions and controversies

    Directory of Open Access Journals (Sweden)

    Kaltsas Gregory

    2011-05-01

    Full Text Available Abstract Metabolic syndrome (MetS is a complex disorder defined by a cluster of interconnected factors that increase the risk of cardiovascular atherosclerotic diseases and diabetes mellitus type 2. Currently, several different definitions of MetS exist, causing substantial confusion as to whether they identify the same individuals or represent a surrogate of risk factors. Recently, a number of other factors besides those traditionally used to define MetS that are also linked to the syndrome have been identified. In this review, we critically consider existing definitions and evolving information, and conclude that there is still a need to develop uniform criteria to define MetS, so as to enable comparisons between different studies and to better identify patients at risk. As the application of the MetS model has not been fully validated in children and adolescents as yet, and because of its alarmingly increasing prevalence in this population, we suggest that diagnosis, prevention and treatment in this age group should better focus on established risk factors rather than the diagnosis of MetS.

  5. Metabolic risk in schoolchildren is associated with low levels of cardiorespiratory fitness, obesity, and parents' nutritional profile.

    Science.gov (United States)

    Todendi, Pâmela Ferreira; Valim, Andréia Rosane de Moura; Reuter, Cézane Priscila; Mello, Elza Daniel de; Gaya, Anelise Reis; Burgos, Miria Suzana

    2016-01-01

    Verify the association between metabolic risk profile in students with different levels of cardiorespiratory fitness and body mass index, as well as the nutritional status of their parents. A cross-sectional study comprising 1.254 schoolchildren aged between seven and 17 years. The metabolic risk profile was calculated by summing the standardized values of high density lipoproteins and low density lipoproteins, triglycerides, glucose and systolic blood pressure. The parents' nutritional status was evaluated by self-reported weight and height data, for body mass index calculating. The body mass index of schoolchildren was classified as underweight/normal weight and overweight/obesity. The cardiorespiratory fitness was assessed by 9-minute running/walk test, being categorized as fit (good levels) and unfit (low levels). Data were analyzed using prevalence ratio values (PR). The data indicates a higher occurrence of developing metabolic risk in schoolchildren whose mother is obese (PR: 1.50; 95% CI: 1.01, 2.23), and even higher for those whose father and mother are obese (PR: 2, 79, 95% CI: 1.41; 5.51). Students who have low levels of cardiorespiratory fitness and overweight/obesity have higher occurrence of presenting metabolic risk profile (PR: 5.25; 95% CI: 3.31; 8.16). the occurrence of developing metabolic risk in schoolchildren increase when they have low levels of cardiorespiratory fitness and overweight/obesity, and the presence of parental obesity. Copyright © 2016 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.

  6. Glycated Hemoglobin, Fasting Insulin and the Metabolic Syndrome in Males. Cross-Sectional Analyses of the Aragon Workers' Health Study Baseline.

    Science.gov (United States)

    Saravia, Gabriela; Civeira, Fernando; Hurtado-Roca, Yamilee; Andres, Eva; Leon, Montserrat; Pocovi, Miguel; Ordovas, Jose; Guallar, Eliseo; Fernandez-Ortiz, Antonio; Casasnovas, Jose Antonio; Laclaustra, Martin

    2015-01-01

    Glycated hemoglobin (HbA1c) is currently used to diagnose diabetes mellitus, while insulin has been relegated to research. Both, however, may help understanding the metabolic syndrome and profiling patients. We examined the association of HbA1c and fasting insulin with clustering of metabolic syndrome criteria and insulin resistance as two essential characteristics of the metabolic syndrome. We used baseline data from 3200 non-diabetic male participants in the Aragon Workers' Health Study. We conducted analysis to estimate age-adjusted odds ratios (ORs) across tertiles of HbA1c and insulin. Fasting glucose and Homeostatic model assessment - Insulin Resistance were used as reference. Here we report the uppermost-to-lowest tertile ORs (95%CI). Mean age (SD) was 48.5 (8.8) years and 23% of participants had metabolic syndrome. The ORs for metabolic syndrome criteria tended to be higher across HbA1c than across glucose, except for high blood pressure. Insulin was associated with the criteria more strongly than HbA1c and similarly to Homeostatic model assessment - Insulin Resistance (HOMA-IR). For metabolic syndrome, the OR of HbA1c was 2.68, of insulin, 11.36, of glucose, 7.03, and of HOMA-IR, 14.40. For the clustering of 2 or more non-glycemic criteria, the OR of HbA1c was 2.10, of insulin, 8.94, of glucose, 1.73, and of HOMA-IR, 7.83. All ORs were statistically significant. The areas under the receiver operating characteristics curves for metabolic syndrome were 0.670 (across HbA1c values) and 0.770 (across insulin values), and, for insulin resistance, 0.647 (HbA1c) and 0.995 (insulin). Among non-metabolic syndrome patients, a small insulin elevation identified risk factor clustering. HbA1c and specially insulin levels were associated with metabolic syndrome criteria, their clustering, and insulin resistance. Insulin could provide early information in subjects prone to develop metabolic syndrome.

  7. The Relationship Between Shift Work and Metabolic Risk Factors: A Systematic Review of Longitudinal Studies.

    Science.gov (United States)

    Proper, Karin I; van de Langenberg, Daniëlla; Rodenburg, Wendy; Vermeulen, Roel C H; van der Beek, Allard J; van Steeg, Harry; van Kerkhof, Linda W M

    2016-05-01

    Although the metabolic health effects of shift work have been extensively studied, a systematic synthesis of the available research is lacking. This review aimed to systematically summarize the available evidence of longitudinal studies linking shift work with metabolic risk factors. A systematic literature search was performed in 2015. Studies were included if (1) they had a longitudinal design; (2) shift work was studied as the exposure; and (3) the outcome involved a metabolic risk factor, including anthropometric, blood glucose, blood lipid, or blood pressure measures. Eligible studies were assessed for their methodologic quality in 2015. A best-evidence synthesis was used to draw conclusions per outcome. Thirty-nine articles describing 22 studies were included. Strong evidence was found for a relation between shift work and increased body weight/BMI, risk for overweight, and impaired glucose tolerance. For the remaining outcomes, there was insufficient evidence. Shift work seems to be associated with body weight gain, risk for overweight, and impaired glucose tolerance. Overall, lack of high-methodologic quality studies and inconsistency in findings led to insufficient evidence in assessing the relation between shift work and other metabolic risk factors. To strengthen the evidence, more high-quality longitudinal studies that provide more information on the shift work schedule (e.g., frequency of night shifts, duration in years) are needed. Further, research to the (mediating) role of lifestyle behaviors in the health effects of shift work is recommended, as this may offer potential for preventive strategies. Copyright © 2016. Published by Elsevier Inc.

  8. Epigenetic and developmental influences on the risk of obesity, diabetes, and metabolic syndrome.

    Science.gov (United States)

    Smith, Caitlin J; Ryckman, Kelli K

    2015-01-01

    Metabolic syndrome is a growing cause of morbidity and mortality worldwide. Metabolic syndrome is characterized by the presence of a variety of metabolic disturbances including obesity, hyperlipidemia, hypertension, and elevated fasting blood sugar. Although the risk for metabolic syndrome has largely been attributed to adult lifestyle factors such as poor nutrition, lack of exercise, and smoking, there is now strong evidence suggesting that predisposition to the development of metabolic syndrome begins in utero. First posited by Hales and Barker in 1992, the "thrifty phenotype" hypothesis proposes that susceptibility to adult chronic diseases can occur in response to exposures in the prenatal and perinatal periods. This hypothesis has been continually supported by epidemiologic studies and studies involving animal models. In this review, we describe the structural, metabolic and epigenetic changes that occur in response to adverse intrauterine environments including prenatal and postnatal diet, maternal obesity, and pregnancy complications. Given the increasing prevalence of metabolic syndrome in both the developed and developing worlds, a greater understanding and appreciation for the role of the intrauterine environment in adult chronic disease etiology is imperative.

  9. Cardiorespiratory fitness and TV viewing in relation to metabolic risk factors in Portuguese adolescents.

    Science.gov (United States)

    Mota, Jorge; Santos, Rute; Moreira, Carla; Martins, Clarice; Gaya, Anelise; Santos, Maria Paula; Ribeiro, José Carlos; Vale, Susana

    2013-03-01

    The purpose of this study was to examine whether adolescents who have high levels of cardiorespiratory fitness (CRF) co-existing with low levels of television (TV) viewing present a better metabolic risk profile compared to their low fit and high TV viewing counterparts. A total of 372 students (aged 12-15 years old) comprised the sample of this study. Anthropometric data (body mass index and waist circumference) was collected. CRF was calculated based upon the 20 metres shuttle run test. A questionnaire was used to estimate weekly TV viewing. Information about biological maturity and parental education was collected. Participants were then categorized into one of four category profiles according to the scores they achieved: low TV-Fit; high TV-Fit; low TV-Unfit and high TV-Unfit. Metabolic risk score (MRS) was calculated based on the sum of the Z-scores of all the metabolic variables analysed. Logistic regression analyses indicated that the high TV-Unfit group was almost 3-times more likely to be assigned to the high MRS group (OR = 2.85, 95% CI = 1.08-7.50) compared to their low TV-Fit group counterparts. The data showed that the high TV-Unfit group was associated with an increased metabolic risk in adolescents after adjustment for gender, age, biological maturity and parental education.

  10. Under- and overnutrition and evidence of metabolic disease risk in ...

    African Journals Online (AJOL)

    Conclusion: Stunting levels were higher in the boys than in the girls in mid to late childhood in a rural setting in South Africa, while the girls had a higher prevalence of overweight and obesity than the boys. Pre-hypertension prevalence in the boys and girls was high. Other metabolic risk factors, i.e. impaired FG and lipids, ...

  11. Ethnic disparities in metabolic syndrome in malaysia: an analysis by risk factors.

    Science.gov (United States)

    Tan, Andrew K G; Dunn, Richard A; Yen, Steven T

    2011-12-01

    This study investigates ethnic disparities in metabolic syndrome in Malaysia. Data were obtained from the Malaysia Non-Communicable Disease Surveillance-1 (2005/2006). Logistic regressions of metabolic syndrome health risks on sociodemographic and health-lifestyle factors were conducted using a multiracial (Malay, Chinese, and Indian and other ethnic groups) sample of 2,366 individuals. Among both males and females, the prevalence of metabolic syndrome amongst Indians was larger compared to both Malays and Chinese because Indians are more likely to exhibit central obesity, elevated fasting blood glucose, and low high-density lipoprotein cholesterol. We also found that Indians tend to engage in less physical activity and consume fewer fruits and vegetables than Malays and Chinese. Although education and family history of chronic disease are associated with metabolic syndrome status, differences in socioeconomic attributes do not explain ethnic disparities in metabolic syndrome incidence. The difference in metabolic syndrome prevalence between Chinese and Malays was not statistically significant. Whereas both groups exhibited similar obesity rates, ethnic Chinese were less likely to suffer from high fasting blood glucose. Metabolic syndrome disproportionately affects Indians in Malaysia. Additionally, fasting blood glucose rates differ dramatically amongst ethnic groups. Attempts to decrease health disparities among ethnic groups in Malaysia will require greater attention to improving the metabolic health of Malays, especially Indians, by encouraging healthful lifestyle changes.

  12. Effects of yam dioscorin interventions on improvements of the metabolic syndrome in high-fat diet-induced obese rats

    OpenAIRE

    Shih, Shen-Liang; Lin, Yin-Shiou; Lin, Shyr-Yi; Hou, Wen-Chi

    2015-01-01

    Background The metabolic syndrome (MS) is termed a cluster of multiple metabolic risk criteria which is positively correlated with cardiovascular disease and type 2 diabetes mellitus (DM). Yam dioscorins have been reported to exhibit biological activities, however, little is known their preventive effects on the MS. Therefore, a high-fat (HF) diet was used to induce Wistar rat obesity and then yam dioscorin (50?mg/kg, dio50) was intervened daily concurrent HF diet (HF diet?+?dio50) for five w...

  13. Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max Embryos

    Directory of Open Access Journals (Sweden)

    Ruth Grene

    2013-05-01

    Full Text Available Soybean (Glycine max seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing soybean embryos to gain a systems biology view of developmental and metabolic changes and to identify potential targets for metabolic engineering. Two major developmental and metabolic transitions were captured enabling identification of potential metabolic engineering targets specific to seed filling and to desiccation. The first transition involved a switch between different types of metabolism in dividing and elongating cells. The second transition involved the onset of maturation and desiccation tolerance during seed filling and a switch from photoheterotrophic to heterotrophic metabolism. Clustering analyses of metabolite and transcript data revealed clusters of functionally related metabolites and transcripts active in these different developmental and metabolic programs. The gene clusters provide a resource to generate predictions about the associations and interactions of unknown regulators with their targets based on “guilt-by-association” relationships. The inferred regulators also represent potential targets for future metabolic engineering of relevant pathways and steps in central carbon and nitrogen metabolism in soybean embryos and drought and desiccation tolerance in plants.

  14. Rhinal hypometabolism on FDG PET in healthy APO-E4 carriers: impact on memory function and metabolic networks

    International Nuclear Information System (INIS)

    Didic, Mira; Felician, Olivier; Gour, Natalina; Ceccaldi, Mathieu; Bernard, Rafaelle; Pecheux, Christophe; Mundler, Olivier; Guedj, Eric

    2015-01-01

    The ε4 allele of the apolipoprotein E (APO-E4) gene, a genetic risk factor for Alzheimer's disease (AD), also modulates brain metabolism and function in healthy subjects. The aim of the present study was to explore cerebral metabolism using FDG PET in healthy APO-E4 carriers by comparing cognitively normal APO-E4 carriers to noncarriers and to assess if patterns of metabolism are correlated with performance on cognitive tasks. Moreover, metabolic connectivity patterns were established in order to assess if the organization of neural networks is influenced by genetic factors. Whole-brain PET statistical analysis was performed at voxel-level using SPM8 with a threshold of p < 0.005, corrected for volume, with age, gender and level of education as nuisance variables. Significant hypometabolism between APO-E4 carriers (n = 11) and noncarriers (n = 30) was first determined. Mean metabolic values with clinical/neuropsychological data were extracted at the individual level, and correlations were searched using Spearman's rank test in the whole group. To evaluate metabolic connectivity from metabolic cluster(s) previously identified in the intergroup comparison, voxel-wise interregional correlation analysis (IRCA) was performed between groups of subjects. APO-E4 carriers had reduced metabolism within the left anterior medial temporal lobe (MTL), where neuropathological changes first appear in AD, including the entorhinal and perirhinal cortices. A correlation between metabolism in this area and performance on the DMS48 (delayed matching to sample-48 items) was found, in line with converging evidence involving the perirhinal cortex in object-based memory. Finally, a voxel-wise IRCA revealed stronger metabolic connectivity of the MTL cluster with neocortical frontoparietal regions in carriers than in noncarriers, suggesting compensatory metabolic networks. Exploring cerebral metabolism using FDG PET can contribute to a better understanding of the influence of

  15. Rhinal hypometabolism on FDG PET in healthy APO-E4 carriers: impact on memory function and metabolic networks

    Energy Technology Data Exchange (ETDEWEB)

    Didic, Mira; Felician, Olivier; Gour, Natalina; Ceccaldi, Mathieu [Pole de Neurosciences Cliniques, Centre Hospitalo-Universitaire de la Timone, AP-HM, Service de Neurologie and Neuropsychologie, Marseille (France); Aix Marseille Universite, Inserm, INS UMRS 1106, Marseille (France); Bernard, Rafaelle; Pecheux, Christophe [Centre Hospitalo-Universitaire de la Timone, AP-HM, et INSERM UMRS 910: ' ' Genetique Medicale et Genomique fonctionnelle' ' , Departement de Genetique Medicale, Marseille (France); Mundler, Olivier; Guedj, Eric [Centre Hospitalo-Universitaire de la Timone, AP-HM, Service Central de Biophysique et Medecine Nucleaire, Marseille (France); Aix Marseille Universite, CERIMED, CNRS UMR7289, INT, Marseille (France); Aix Marseille Universite, CNRS UMR7289, INT, Marseille (France)

    2015-09-15

    The ε4 allele of the apolipoprotein E (APO-E4) gene, a genetic risk factor for Alzheimer's disease (AD), also modulates brain metabolism and function in healthy subjects. The aim of the present study was to explore cerebral metabolism using FDG PET in healthy APO-E4 carriers by comparing cognitively normal APO-E4 carriers to noncarriers and to assess if patterns of metabolism are correlated with performance on cognitive tasks. Moreover, metabolic connectivity patterns were established in order to assess if the organization of neural networks is influenced by genetic factors. Whole-brain PET statistical analysis was performed at voxel-level using SPM8 with a threshold of p < 0.005, corrected for volume, with age, gender and level of education as nuisance variables. Significant hypometabolism between APO-E4 carriers (n = 11) and noncarriers (n = 30) was first determined. Mean metabolic values with clinical/neuropsychological data were extracted at the individual level, and correlations were searched using Spearman's rank test in the whole group. To evaluate metabolic connectivity from metabolic cluster(s) previously identified in the intergroup comparison, voxel-wise interregional correlation analysis (IRCA) was performed between groups of subjects. APO-E4 carriers had reduced metabolism within the left anterior medial temporal lobe (MTL), where neuropathological changes first appear in AD, including the entorhinal and perirhinal cortices. A correlation between metabolism in this area and performance on the DMS48 (delayed matching to sample-48 items) was found, in line with converging evidence involving the perirhinal cortex in object-based memory. Finally, a voxel-wise IRCA revealed stronger metabolic connectivity of the MTL cluster with neocortical frontoparietal regions in carriers than in noncarriers, suggesting compensatory metabolic networks. Exploring cerebral metabolism using FDG PET can contribute to a better understanding of the influence of

  16. Metabolic acidosis as a risk factor for the development of acute kidney injury and hospital mortality.

    Science.gov (United States)

    Hu, Jiachang; Wang, Yimei; Geng, Xuemei; Chen, Rongyi; Xu, Xialian; Zhang, Xiaoyan; Lin, Jing; Teng, Jie; Ding, Xiaoqiang

    2017-05-01

    Metabolic acidosis has been proved to be a risk factor for the progression of chronic kidney disease, but its relation to acute kidney injury (AKI) has not been investigated. In general, a diagnosis of metabolic acidosis is based on arterial blood gas (ABG) analysis, but the diagnostic role of carbon dioxide combining power (CO 2 CP) in the venous blood may also be valuable to non-respiratory patients. This retrospective study included all adult non-respiratory patients admitted consecutively to our hospital between October 01, 2014 and September 30, 2015. A total of 71,089 non-respiratory patients were included, and only 4,873 patients were evaluated by ABG analysis at admission. In patients with ABG, acidosis, metabolic acidosis, decreased HCO 3 - and hypocapnia at admission was associated with the development of AKI, while acidosis and hypocapnia were independent predictors of hospital mortality. Among non-respiratory patients, decreased CO 2 CP at admission was an independent risk factor for AKI and hospital mortality. ROC curves indicated that CO 2 CP was a reasonable biomarker to exclude metabolic acidosis, dual and triple acid-base disturbances. The effect sizes of decreased CO 2 CP on AKI and hospital mortality varied according to age and different underlying diseases. Metabolic acidosis is an independent risk factor for the development of AKI and hospital mortality. In non-respiratory patient, decreased CO 2 CP is also an independent contributor to AKI and mortality and can be used as an indicator of metabolic acidosis.

  17. Frequency of Metabolic Risk Factors in Children with Urinary Tract Stones Referred to Hamadan Pediatric Nephrology Clinic

    Directory of Open Access Journals (Sweden)

    H.E. Momtaz

    2012-07-01

    Full Text Available Introduction & Objective: Urinary stones are among the most common complaints referred to nephrologist and urologists. Although incidence of urolithiasis is low in children compared to adults and only 7% of all urinary stones are diagnosed before the age of 16 but stones are detected more frequently in pediatric age group in recent years. Metabolic derangements, infection, neurogenic bladder and urinary obstruction are major risk factors of urolithiasis. Common metabolic risk factors of urolithiasis in children are hypercalciuria, uricosuria, hypocitraturia, hyperoxaluria, metabolic acidosis and cystinuria. There are many clinical studies about the frequency of these metabolic risk factors with different results reflecting difference in diet, geographic area and genetics in study populations. In this study we tried to evaluate the frequency of metabolic causes of urinary stones in children referred to Hamadan pediatric nephrology clinic.Materials & Methods: In this cross sectional-descriptive study 156 patients referred due to urinary stones to pediatric nephrology clinic underwent thorough metabolic evaluations including: serum calcium,phosphorus, uric acid, creatinine and non fasting random urine sample for calcium, creatinine , uric acid , oxalate, citrate and cystine . urine solute: creatinine ratios were calculated and compared with normative data.Results: Of 156 patients 136(87.2% had metabolic derangements including: hyperuricosuria in 71 (45.5%, hypercalciuria in 41(26.3%, hypocitraturia in 26 (16.7%, hyperoxaluria in 16(10.3%,cystinuria in 1(0.6% and metabolic acidosis in 39 (25%.Conclusion: High rate of metabolic derangement in pediatric urinary stone patients mandates proper metabolic evaluation in all of them. hyperuricosuria was the most common metbolic finding instead of hypercalciuria in this study. This could be due to differences in diet, geographic area and genetic background in various populations.(Sci J Hamadan Univ Med Sci

  18. Abdominal obesity and metabolic syndrome: exercise as medicine?

    Science.gov (United States)

    Paley, Carole A; Johnson, Mark I

    2018-01-01

    Metabolic syndrome is defined as a cluster of at least three out of five clinical risk factors: abdominal (visceral) obesity, hypertension, elevated serum triglycerides, low serum high-density lipoprotein (HDL) and insulin resistance. It is estimated to affect over 20% of the global adult population. Abdominal (visceral) obesity is thought to be the predominant risk factor for metabolic syndrome and as predictions estimate that 50% of adults will be classified as obese by 2030 it is likely that metabolic syndrome will be a significant problem for health services and a drain on health economies.Evidence shows that regular and consistent exercise reduces abdominal obesity and results in favourable changes in body composition. It has therefore been suggested that exercise is a medicine in its own right and should be prescribed as such. This review provides a summary of the current evidence on the pathophysiology of dysfunctional adipose tissue (adiposopathy). It describes the relationship of adiposopathy to metabolic syndrome and how exercise may mediate these processes, and evaluates current evidence on the clinical efficacy of exercise in the management of abdominal obesity. The review also discusses the type and dose of exercise needed for optimal improvements in health status in relation to the available evidence and considers the difficulty in achieving adherence to exercise programmes. There is moderate evidence supporting the use of programmes of exercise to reverse metabolic syndrome although at present the optimal dose and type of exercise is unknown. The main challenge for health care professionals is how to motivate individuals to participate and adherence to programmes of exercise used prophylactically and as a treatment for metabolic syndrome.

  19. Dairy food consumption is inversely associated with the risk of the metabolic syndrome in Korean adults.

    Science.gov (United States)

    Kim, J

    2013-07-01

    The present study explored the association between dairy food consumption and the risk of the metabolic syndrome in Korean adults using the most recent nationally representative data. The study sample comprised 4862 Korean adults (≥19 years) who participated in the fifth Korean National Health and Nutrition Examination Surveys. Dairy food consumption was assessed using a food frequency questionnaire. The metabolic syndrome was defined according to the joint interim statement of the International Diabetes Federation and the American Heart Association/National Heart, Lung and Blood Institute. We found that the prevalence of the metabolic syndrome was significantly lower in subjects with higher milk or yogurt consumption (P foods may be associated with a lower risk of the metabolic syndrome. © 2013 The Authors Journal of Human Nutrition and Dietetics © 2013 The British Dietetic Association Ltd.

  20. Effect of genetic variants and traits related to glucose metabolism and their interaction with obesity on breast and colorectal cancer risk among postmenopausal women.

    Science.gov (United States)

    Jung, Su Yon; Sobel, Eric M; Papp, Jeanette C; Zhang, Zuo-Feng

    2017-04-26

    Impaired glucose metabolism-related genetic variants and traits likely interact with obesity and related lifestyle factors, influencing postmenopausal breast and colorectal cancer (CRC), but their interconnected pathways are not fully understood. By stratifying via obesity and lifestyles, we partitioned the total effect of glucose metabolism genetic variants on cancer risk into two putative mechanisms: 1) indirect (risk-associated glucose metabolism genetic variants mediated by glucose metabolism traits) and 2) direct (risk-associated glucose metabolism genetic variants through pathways other than glucose metabolism traits) effects. Using 16 single-nucleotide polymorphisms (SNPs) associated with glucose metabolism and data from 5379 postmenopausal women in the Women's Health Initiative Harmonized and Imputed Genome-Wide Association Studies, we retrospectively assessed the indirect and direct effects of glucose metabolism-traits (fasting glucose, insulin, and homeostatic model assessment-insulin resistance [HOMA-IR]) using two quantitative tests. Several SNPs were associated with breast cancer and CRC risk, and these SNP-cancer associations differed between non-obese and obese women. In both strata, the direct effect of cancer risk associated with the SNP accounted for the majority of the total effect for most SNPs, with roughly 10% of cancer risk due to the SNP that was from an indirect effect mediated by glucose metabolism traits. No apparent differences in the indirect (glucose metabolism-mediated) effects were seen between non-obese and obese women. It is notable that among obese women, 50% of cancer risk was mediated via glucose metabolism trait, owing to two SNPs: in breast cancer, in relation to GCKR through glucose, and in CRC, in relation to DGKB/TMEM195 through HOMA-IR. Our findings suggest that glucose metabolism genetic variants interact with obesity, resulting in altered cancer risk through pathways other than those mediated by glucose metabolism traits.

  1. Enzyme clustering accelerates processing of intermediates through metabolic channeling

    Science.gov (United States)

    Castellana, Michele; Wilson, Maxwell Z.; Xu, Yifan; Joshi, Preeti; Cristea, Ileana M.; Rabinowitz, Joshua D.; Gitai, Zemer; Wingreen, Ned S.

    2015-01-01

    We present a quantitative model to demonstrate that coclustering multiple enzymes into compact agglomerates accelerates the processing of intermediates, yielding the same efficiency benefits as direct channeling, a well-known mechanism in which enzymes are funneled between enzyme active sites through a physical tunnel. The model predicts the separation and size of coclusters that maximize metabolic efficiency, and this prediction is in agreement with previously reported spacings between coclusters in mammalian cells. For direct validation, we study a metabolic branch point in Escherichia coli and experimentally confirm the model prediction that enzyme agglomerates can accelerate the processing of a shared intermediate by one branch, and thus regulate steady-state flux division. Our studies establish a quantitative framework to understand coclustering-mediated metabolic channeling and its application to both efficiency improvement and metabolic regulation. PMID:25262299

  2. Patients with psoriasis have insufficient knowledge of their risk of atherothrombotic disease and metabolic syndrome

    DEFF Research Database (Denmark)

    Skiveren, J; Philipsen, P; Therming, Gitte

    2015-01-01

    BACKGROUND: Knowledge is crucial to allow patients to increase their level of self-care. OBJECTIVES: To examine the extent to which patients with moderate to severe psoriasis feel informed about their disease, to investigate their level of knowledge about psoriasis and the associated risk...... to a questionnaire. RESULTS: Patients were well informed about their skin disease, but were less well informed about their risk of atherothrombotic disease/metabolic syndrome (visual analogue scale values of 6.91 and 5.15, respectively). Patients' knowledge of the disease was reflected by 74.2-99.1% correct answers...... (CA). The risk of arthritis elicited 88% CA and of depression 41.7% CA, while the risk of atherothrombotic disease and metabolic syndrome produced only 11.9-15.3% CA. Patients treated with biological drugs had a significantly stronger sense of being more well informed about the risk of disease (P = 0...

  3. The Impact of Dietary and Metabolic Risk Factors on Cardiovascular Diseases and Type 2 Diabetes Mortality in Brazil

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    de Oliveira Otto, Marcia C.; Afshin, Ashkan; Micha, Renata; Khatibzadeh, Shahab; Fahimi, Saman; Singh, Gitanjali; Danaei, Goodarz; Sichieri, Rosely; Monteiro, Carlos A; Louzada, Maria L. C.; Ezzati, Majid; Mozaffarian, Dariush

    2016-01-01

    Background Trends in food availability and metabolic risk factors in Brazil suggest a shift toward unhealthy dietary patterns and increased cardiometabolic disease risk, yet little is known about the impact of dietary and metabolic risk factors on cardiometabolic mortality in Brazil. Methods Based on data from Global Burden of Disease (GBD) Study, we used comparative risk assessment to estimate the burden of 11 dietary and 4 metabolic risk factors on mortality due to cardiovascular diseases and diabetes in Brazil in 2010. Information on national diets and metabolic risks were obtained from the Brazilian Household Budget Survey, the Food and Agriculture Organization database, and large observational studies including Brazilian adults. Relative risks for each risk factor were obtained from meta-analyses of randomized trials or prospective cohort studies; and disease-specific mortality from the GBD 2010 database. We quantified uncertainty using probabilistic simulation analyses, incorporating uncertainty in dietary and metabolic data and relative risks by age and sex. Robustness of findings was evaluated by sensitivity to varying feasible optimal levels of each risk factor. Results In 2010, high systolic blood pressure (SBP) and suboptimal diet were the largest contributors to cardiometabolic deaths in Brazil, responsible for 214,263 deaths (95% uncertainty interval [UI]: 195,073 to 233,936) and 202,949 deaths (95% UI: 194,322 to 211,747), respectively. Among individual dietary factors, low intakes of fruits and whole grains and high intakes of sodium were the largest contributors to cardiometabolic deaths. For premature cardiometabolic deaths (before age 70 years, representing 40% of cardiometabolic deaths), the leading risk factors were suboptimal diet (104,169 deaths; 95% UI: 99,964 to 108,002), high SBP (98,923 deaths; 95%UI: 92,912 to 104,609) and high body-mass index (BMI) (42,643 deaths; 95%UI: 40,161 to 45,111). Conclusion suboptimal diet, high SBP, and high

  4. Impact of Vitamin D Replacement on Markers of Glucose Metabolism and Cardio-Metabolic Risk in Women with Former Gestational Diabetes--A Double-Blind, Randomized Controlled Trial.

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    Toh Peng Yeow

    Full Text Available Gestational Diabetes Mellitus (GDM and vitamin D deficiency are related to insulin resistance and impaired beta cell function, with heightened risk for future development of diabetes. We evaluated the impact of vitamin D supplementation on markers of glucose metabolism and cardio metabolic risk in Asian women with former GDM and hypovitaminosis D. In this double blind, randomized controlled trial, 26 participants were randomized to receive either daily 4000 IU vitamin D3 or placebo capsules. 75 g Oral Glucose Tolerance Test (OGTT and biochemistry profiles were performed at baseline and 6 month visits. Mathematical models, using serial glucose, insulin and C peptide measurements from OGTT, were employed to calculate insulin sensitivity and beta cell function. Thirty three (76% women with former GDM screened had vitamin D level of <50 nmol/L at baseline. Supplementation, when compared with placebo, resulted in increased vitamin D level (+51.1 nmol/L vs 0.2 nmol/L, p<0.001 and increased fasting insulin (+20% vs 18%, p = 0.034. The vitamin D group also demonstrated a 30% improvement in disposition index and an absolute 0.2% (2 mmol/mol reduction in HbA1c. There was no clear change in insulin sensitivity or markers of cardio metabolic risk. This study highlighted high prevalence of vitamin D deficiency among Asian women with former GDM. Six months supplementation with 4000 IU of vitamin D3 safely restored the vitamin D level, improved basal pancreatic beta-cell function and ameliorated the metabolic state. There was no effect on markers of cardio metabolic risk. Further mechanistic studies exploring the role of vitamin D supplementation on glucose homeostasis among different ethnicities may be needed to better inform future recommendations for these women with former GDM at high risk of both hypovitaminosis D and future diabetes.

  5. Personality traits and childhood trauma as correlates of metabolic risk factors: the Netherlands Study of Depression and Anxiety (NESDA).

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    van Reedt Dortland, Arianne K B; Giltay, Erik J; van Veen, Tineke; Zitman, Frans G; Penninx, Brenda W J H

    2012-01-10

    Personality and childhood trauma may affect cardiovascular disease (CVD) risk. However, evidence for an association with metabolic risk factors for CVD is limited and ambiguous. Moreover, despite their interrelatedness, personality and childhood trauma were not yet studied simultaneously. Therefore, we aimed to explore whether personality and childhood trauma are correlates of metabolic risk factors. Among 2755 participants of the Netherlands Study of Depression and Anxiety (NESDA), we investigated through linear regression models whether Big Five personality traits (i.e., extraversion, openness, agreeableness, neuroticism and conscientiousness) and childhood trauma type (i.e., emotional neglect, and psychological, physical and sexual abuse) were correlates of metabolic risk factors (i.e., lipids, waist circumference (WC), glucose and blood pressure). Basic covariates (i.e., age, sex and income level), lifestyle, severity of depressive symptoms and years of education were taken into account. Openness was the most robust favorable correlate, and sexual abuse was the most robust unfavorable correlate of lipids and WC, and of overall metabolic risk (β=-.070; pchildhood sexual abuse are at higher risk of dyslipidemia and abdominal obesity. Copyright © 2011 Elsevier Inc. All rights reserved.

  6. Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism

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    Narges Pishva

    2015-02-01

    Full Text Available Objective: Although metabolic diseases individually are rare ,but overall have an incidence of 1/2000 and can cause devastating and irreversible effect if not diagnosed early and treated promptly. selective screening is an acceptable method for detection of these multi presentation diseases.Method: using panel neonatal screening for detection of metabolic diseases in 650 high risk Iranian patients in Fars province. The following clinical features were used as inclusion criteria for investigation of the patients.Lethargy, poor feeding ,persistent vomiting, cholestasis, intractable seizure ,decreased level of consciousness ,persistent hypoglycemia, unexplained acid base disturbance and unexplained neonatal death.Result: Organic acidemia with 40 cases (42% was the most frequent disorder diagnosed in our high risk populations, followed by disorder of galactose metabolism(30%, 15 patient had classic galactosemia(GALT

  7. Selective screening of 650 high risk Iranian patients for detection of inborn error of metabolism

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    Narges Pishva

    2015-02-01

    Full Text Available Objective: Although metabolic diseases individually are rare ,but overall have an incidence of 1/2000 and can cause devastating and irreversible effect if not diagnosed early and treated promptly. selective screening is an acceptable method for detection of these multi presentation diseases. Method: using panel neonatal screening for detection of metabolic diseases in 650 high risk Iranian patients in Fars province. The following clinical features were used as inclusion criteria for investigation of the patients. Lethargy, poor feeding ,persistent vomiting, cholestasis, intractable seizure ,decreased level of consciousness ,persistent hypoglycemia, unexplained acid base disturbance and unexplained neonatal death. Result: Organic acidemia with 40 cases (42% was the most frequent disorder diagnosed in our high risk populations, followed by disorder of galactose metabolism(30%, 15 patient had classic galactosemia(GALT

  8. Dietary fructose and risk of metabolic syndrome in adults: Tehran Lipid and Glucose study

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    Hosseinpanah Farhad

    2011-07-01

    Full Text Available Abstract Background Studies have shown that the excessive fructose intake may induce adverse metabolic effects. There is no direct evidence from epidemiological studies to clarify the association between usual amounts of fructose intake and the metabolic syndrome. Objective The aim this study was to determine the association of fructose intake and prevalence of metabolic syndrome (MetS and its components in Tehranian adults. Methods This cross-sectional population based study was conducted on 2537 subjects (45% men aged 19-70 y, participants of the Tehran Lipid and Glucose Study (2006-2008. Dietary data were collected using a validated 168 item semi-quantitative food frequency questionnaire. Dietary fructose intake was calculated by sum of natural fructose (NF in fruits and vegetables and added fructose (AF in commercial foods. MetS was defined according to the modified NCEP ATP III for Iranian adults. Results The mean ages of men and women were 40.5 ± 13.6 and 38.6 ± 12.8 years, respectively. Mean total dietary fructose intakes were 46.5 ± 24.5 (NF: 19.6 ± 10.7 and AF: 26.9 ± 13.9 and 37.3 ± 24.2 g/d (NF: 18.6 ± 10.5 and AF: 18.7 ± 13.6 in men and women, respectively. Compared with those in the lowest quartile of fructose intakes, men and women in the highest quartile, respectively, had 33% (95% CI, 1.15-1.47 and 20% (95% CI, 1.09-1.27 higher risk of the metabolic syndrome; 39% (CI, 1.16-1.63 and 20% (CI, 1.07-1.27 higher risk of abdominal obesity; 11% (CI, 1.02-1.17 and 9% (CI, 1.02-1.14 higher risk of hypertension; and 9% (CI, 1-1.15 and 9% (1.04-1.12 higher risk of impaired fasting glucose. Conclusion Higher consumption of dietary fructose may have adverse metabolic effects.

  9. Metabolic syndrome-related composite factors over 5 years in the STANISLAS family study: genetic heritability and common environmental influences.

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    Herbeth, Bernard; Samara, Anastasia; Ndiaye, Coumba; Marteau, Jean-Brice; Berrahmoune, Hind; Siest, Gérard; Visvikis-Siest, Sophie

    2010-06-03

    We estimated genetic heritability and common environmental influences for various traits related to metabolic syndrome in young families from France. At entrance and after 5 years, nineteen traits related to metabolic syndrome were measured in a sample of families drawn from the STANISLAS study. In addition, 5 aggregates of these traits were identified using factor analysis. At entrance, genetic heritability was high (20 to 44%) for plasma lipids and lipoproteins, uric acid, fasting glucose, and the related clusters "risk lipids" and "protective lipids". Intermediate or low genetic heritability (less than 20%) was shown for triglycerides, adiposity indices, blood pressure, hepatic enzyme activity, inflammatory makers and the related clusters: "liver enzymes", "adiposity/blood pressure" and "inflammation". Moreover, common environmental influences were significant for all the parameters. With regard to 5-year changes, polygenic variance was low and not statistically significant for any of the individual variables or clusters whereas shared environment influence was significant. In these young families, genetic heritability of metabolic syndrome-related traits was generally lower than previously reported while the common environmental influences were greater. In addition, only shared environment contributed to short-term changes of these traits. Copyright 2010 Elsevier B.V. All rights reserved.

  10. An increase level of acylation stimulating protein is correlated with metabolic risk markers in North Indian obese women.

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    Mishra, Supriya; Gupta, Vani; Mishra, Sameeksha; Gupta, Vandana; Mahdi, Abbas Ali; Sachan, Rekha

    2017-12-01

    The present study was to investigate the association between serum acylation stimulating protein (ASP) level with metabolic risk factors in North Indian obese women. This is a case control study, total n=322 women aged between 20 and 45 years (n=162 with metabolic syndrome & n=160 without metabolic syndrome) were recruited for the study according to National Cholesterol Education Program Treatment Panel (NCEPATP) guidelines. Serum ASP level were determined by enzyme linked immunosorbent assay. Results indicated that circulating ASP and other metabolic risk factors (waist circumference, triglycerides, fasting plasma glucose etc) were significantly higher in women with metabolic syndrome (WmetS) than in women without syndrome (WometS) (pwomen with metabolic syndrome. Conclusively circulating ASP was found to be significantly associated with hyperlipidemia, obesity and obesity related disorders in North Indian obese women. Copyright © 2017 Diabetes India. Published by Elsevier Ltd. All rights reserved.

  11. The role of physical training in lowering the cardio-metabolic risk

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    Szasz Timea

    2009-12-01

    Full Text Available The cardio-metabolic risk represents the overall risk of developing type 2 diabetes mellitus and / or cardiovascular disease(including heart atack or stroke due to a complex risk factors. The aim of the current prospective study is to evaluate thelifestyle intervention group in a special benefit (overweight young students with cardio-metabolic risk. Material andMethods: Subjects considered for the study: young obese, sedentary, a number of 43 patients (mean age 21.3 ± 3.1years, 93% female. There were made two evaluations on an interval of 6 months, during which patients haveperformed physical training at least 3 times a week (individually according to the individual test, supervised by aphysical therapist. The remission rate was high (37%, from the initial of 43 patients only 27 remained at the second test.Results: After 6 months of lifestyle intervention, we noticed a significant decrease of weight (from 83.61 ± 21.04 to 79.7 ±20.13, body mass index (from 30.93 ± 6.67 to 29.55 ± 6.74, FindRisc score (2.7 to 2 waist circumference (from 98.98 ±10.14 to 89.54 ± 12.32, waist to hip ratio (from 0.87 to 0.85, visceral fat area (98.6 to 88. Conclusion: The activeintervention and closely monitoring of changing lifestyles leads to a significant improvement of cardiovascular risk factors atyoung obese patients. This type of intervention is effective both in terms of benefits in medium term, and relatively increaseddue compliance of young patients to programs involving physical activity.

  12. Metabolic syndrome among overweight and obese adults in Palestinian refugee camps.

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    Damiri, Basma; Abualsoud, Mohammed S; Samara, Amjad M; Salameh, Sakhaa K

    2018-01-01

    Metabolic syndrome (MetS) is one of the main reasons for elevated cardiovascular morbidity and mortality worldwide. Obese and overweight individuals are at high risk of developing these chronic diseases. The aim of this study was to characterize and establish sex-adjusted prevalence of metabolic syndrome and its components. A cross-sectional study was conducted in 2015, 689 (329 men and 360 women) aged 18-65 years from three refugee camps in the West Bank. International Diabetes Federation and modified National Cholesterol Education Program-Third Adult Treatment Panel definitions were used to identify MetS. The overall prevalence of obesity and overweight was high, 63.1%; Obesity (42 and 29.2% in women men; respectively and overweight 25.8 and 28.9% in women and men; respectively. The prevalence of MetS among obese and overweight was significantly higher (69.4%) according to IDF than NCEP definition (52%) ( p  family history of hypertension or diabetes mellitus. In this study, irrespective of the definition used, metabolic syndrome is highly prevalent in obese and overweight Palestinian adults with no gender-based differences. The contribution of the metabolic components to the metabolic syndrome is different in men and women. With the increase of age and obesity, the clustering of metabolic syndrome components increased remarkably. More attention through health care providers should, therefore, be given to the adult population at risk to reduce adulthood obesity and subsequent cardiovascular diseases.

  13. Using the androgen excess-PCOS society criteria to diagnose polycystic ovary syndrome and the risk of metabolic syndrome in adolescents.

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    Roe, Andrea Hsu; Prochaska, Erica; Smith, Matthew; Sammel, Mary; Dokras, Anuja

    2013-05-01

    To use the Androgen Excess-PCOS Society (AE-PCOS) criteria in adolescents to diagnose polycystic ovary syndrome (PCOS) and identify the prevalence of metabolic risk factors. Retrospective chart review of adolescents (>2 years postmenarche) presenting at a specialty clinic from 2008 through 2010 with complete evaluation for PCOS and metabolic risk were reviewed. Metabolic risk in adolescents with PCOS was compared with those with ≤ 1 AE-PCOS criteria. Of the 205 adolescents evaluated, 66% were found to have PCOS based on the AE-PCOS criteria. The most common presenting symptom was menstrual irregularity, followed by acne, hirsutism, and weight gain. Adolescents with PCOS had a significantly higher prevalence of obesity, hypertension, and low level of high-density lipoprotein cholesterol. Subjects with PCOS had ≥ 1 metabolic risk factor compared with the subjects without PCOS (63.6% vs 33.3%, P = .002). More adolescents with PCOS had ≥ 2 abnormal metabolic risk factors excluding body mass index compared with those without PCOS (P PCOS compared with 1.7% in those without PCOS (P PCOS based on the AE-PCOS criteria are at a significantly increased risk of ≥ 1 metabolic abnormality. Our data underscore the need to accurately diagnose PCOS in the adolescent population instead of delaying the diagnosis to adulthood. Further, using similar criteria for the diagnosis of PCOS in adolescents (>2 years postmenarche) and adults will be more convenient for the clinician. Copyright © 2013 Mosby, Inc. All rights reserved.

  14. Metabolic Syndrome Increases the Risk of Sudden Sensorineural Hearing Loss in Taiwan: A Case-Control Study.

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    Chien, Chen-Yu; Tai, Shu-Yu; Wang, Ling-Feng; Hsi, Edward; Chang, Ning-Chia; Wu, Ming-Tsang; Ho, Kuen-Yao

    2015-07-01

    Sudden sensorineural hearing loss has been reported to be associated with diabetes mellitus, hypertension, and hyperlipidemia in previous studies. The aim of this study was to examine whether metabolic syndrome increases the risk of sudden sensorineural hearing loss in Taiwan. A case-control study. Tertiary university hospital. We retrospectively investigated 181 cases of sudden sensorineural hearing loss and 181 controls from the Department of Otorhinolaryngology, Kaohsiung Medical University Hospital, in southern Taiwan from 2010 to 2012, comparing their clinical variables. We analyzed the relationship between metabolic syndrome and sudden sensorineural hearing loss. Metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III with Asian modifications. The demographic and clinical characteristics, audiometry results, and outcome were reviewed. Subjects with metabolic syndrome had a 3.54-fold increased risk (95% confidence interval [CI] = 2.00-6.43, P diabetes mellitus, hypertension, and hyperlipidemia. With increases in the number of metabolic syndrome components, the risk of sudden sensorineural hearing loss increased (P for trend Vertigo was associated with a poor outcome (P = .02; 95% CI = 1.13~5.13, adjusted odds ratio = 2.39). The hearing loss pattern may influence the outcome of sudden sensorineural hearing loss (P Vertigo and total hearing loss were indicators of a poor outcome in sudden sensorineural hearing loss. © American Academy of Otolaryngology—Head and Neck Surgery Foundation 2015.

  15. Epigenetic and developmental influences on the risk of obesity, diabetes, and metabolic syndrome

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    Smith CJ

    2015-06-01

    Full Text Available Caitlin J Smith, Kelli K Ryckman Department of Epidemiology, University of Iowa, College of Public Health, Iowa City, IA, USA Abstract: Metabolic syndrome is a growing cause of morbidity and mortality worldwide. Metabolic syndrome is characterized by the presence of a variety of metabolic disturbances including obesity, hyperlipidemia, hypertension, and elevated fasting blood sugar. Although the risk for metabolic syndrome has largely been attributed to adult lifestyle factors such as poor nutrition, lack of exercise, and smoking, there is now strong evidence suggesting that predisposition to the development of metabolic syndrome begins in utero. First posited by Hales and Barker in 1992, the “thrifty phenotype” hypothesis proposes that susceptibility to adult chronic diseases can occur in response to exposures in the prenatal and perinatal periods. This hypothesis has been continually supported by epidemiologic studies and studies involving animal models. In this review, we describe the structural, metabolic and epigenetic changes that occur in response to adverse intrauterine environments including prenatal and postnatal diet, maternal obesity, and pregnancy complications. Given the increasing prevalence of metabolic syndrome in both the developed and developing worlds, a greater understanding and appreciation for the role of the intrauterine environment in adult chronic disease etiology is imperative. Keywords: epigenetics, metabolic syndrome, fetal programming, maternal, pregnancy complications

  16. Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study.

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    Reedy, Jill; Wirfält, Elisabet; Flood, Andrew; Mitrou, Panagiota N; Krebs-Smith, Susan M; Kipnis, Victor; Midthune, Douglas; Leitzmann, Michael; Hollenbeck, Albert; Schatzkin, Arthur; Subar, Amy F

    2010-02-15

    The authors compared dietary pattern methods-cluster analysis, factor analysis, and index analysis-with colorectal cancer risk in the National Institutes of Health (NIH)-AARP Diet and Health Study (n = 492,306). Data from a 124-item food frequency questionnaire (1995-1996) were used to identify 4 clusters for men (3 clusters for women), 3 factors, and 4 indexes. Comparisons were made with adjusted relative risks and 95% confidence intervals, distributions of individuals in clusters by quintile of factor and index scores, and health behavior characteristics. During 5 years of follow-up through 2000, 3,110 colorectal cancer cases were ascertained. In men, the vegetables and fruits cluster, the fruits and vegetables factor, the fat-reduced/diet foods factor, and all indexes were associated with reduced risk; the meat and potatoes factor was associated with increased risk. In women, reduced risk was found with the Healthy Eating Index-2005 and increased risk with the meat and potatoes factor. For men, beneficial health characteristics were seen with all fruit/vegetable patterns, diet foods patterns, and indexes, while poorer health characteristics were found with meat patterns. For women, findings were similar except that poorer health characteristics were seen with diet foods patterns. Similarities were found across methods, suggesting basic qualities of healthy diets. Nonetheless, findings vary because each method answers a different question.

  17. Relationship between serologic markers of periodontal bacteria and metabolic syndrome and its components.

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    Shrestha, Deepika; Choi, Youn-Hee; Zhang, Jiajia; Hazlett, Linda J; Merchant, Anwar T

    2015-03-01

    Periodontitis is a result of a complex biologic alteration of the periodontal microenvironment and a distributional shift of key periodontal pathogens. Metabolic syndrome (MetS), a complex cluster of cardiovascular risk factors, has been linked to periodontal diseases; however, the contribution of periodontal bacteria to systemic conditions remains unclear. The study population comprised 7,848 United States adults who participated in an interview, underwent a clinical oral-health examination, and had serum immunoglobulin G titers measured against 19 periodontal bacteria as part of the third National Health and Nutritional Examination Survey. The z-score antibody titers were clustered into four mutually exclusive groups and named after Socransky's classification of periodontal bacteria (Orange-Red, Red-Green, Yellow-Orange, and Orange-Blue). Survey logistic regression was used to investigate the independent associations between the cluster scores, and MetS and each component, including hypertension, hypertriglyceridemia, low high-density lipoprotein cholesterol, central obesity, and elevated fasting glucose. The Orange-Red cluster score (that included Porphyromonas gingivalis and Prevotella spp.) was positively associated (odds ratio [OR] = 1.067, 95% confidence interval [CI] = 1.02 to 1.12) and the Orange-Blue cluster score (which included Actinomyces naeslundii and Eubacterium nodatum) was inversely associated (OR = 0.93, 95% CI = 0.88 to 0.97) with elevated fasting glucose (≥ 110 mg/dL) after adjustment for clusters and potential confounders. Neither MetS nor its other remaining MetS components were associated with a particular cluster score. The associations between specific antibody clusters (Orange-Red and Orange-Blue) against periodontal bacteria and elevated plasma glucose were in qualitatively opposite directions after multivariable adjustment in a large, adult population. The periodontal bacterial profile was not found to be associated with metabolic

  18. Metabolic syndrome in Iranian elderly

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    Nizal Sarrafzadegan

    2012-01-01

    Full Text Available BACKGROUND: This study aimed to compare Iranian elderly with the youth and middle aged population in terms of the prevalence of metabolic syndrome and its components in Iranian elderly METHODS: This cross-sectional study was conducted using the information from the third phase of Isfahan Healthy Heart Program. Male and female residents of Isfahan who aged over 19 years were selected by multistage cluster random sampling. A questionnaire including demographic characteristics, health status, medical history, medications used, as well as waist circumference, weight, height and systolic and diastolic blood pressures was completed for all participants. Fasting blood samples were obtained from all subjects and examined for fasting blood sugar and lipid profile. RESULTS: The prevalence of metabolic syndrome in individuals aged over 60 years was significantly higher than those under 60 (49.5% vs. 17.5%, respectively; P < 0.001. It was also more prevalent among elderly females than in males (59.2% vs. 39.8%, respectively; P < 0.005. Some anthropometric measures such as height, body mass index, abdominal circumference, waist-hip ratio, and waist to height ratio were significantly different in men and women below 60 years in comparison with those over 60 years (P < 0.05. Moreover, there were significant differences in most studied parameters between the elderly and non-elderly women (P < 0.001. Based on the findings of this study, the risk factors for cardiovascular diseases were significantly more prevalent in men and women over 60 years. T-test and Mann-Whitney were used for quantitative data and the square-chi test is performed for qualitative data.    CONCLUSION: This study showed that metabolic syndrome has a relatively high prevalence in Iranian elderly people (especially in women. Therefore, early diagnosis and management of the complication are recommended among this high-risk group. Keywords: Metabolic Syndrome, Elderly, Iran

  19. Interrelationships of Physical Activity and Sleep with Cardiovascular Risk Factors: a Person-Oriented Approach.

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    Wennman, Heini; Kronholm, Erkki; Partonen, Timo; Tolvanen, Asko; Peltonen, Markku; Vasankari, Tommi; Borodulin, Katja

    2015-12-01

    Associations of behaviorally modifiable factors like physical activity (PA), sedentary behaviors, and sleep with cardiovascular diseases (CVDs) are complicated. We examined whether membership in latent classes (LCs) differentiated by PA and sleep profiles (real-life clustering of behaviors in population subgroups) associate with metabolic risk factors and CVD risk. The National FINRISK 2012 Study comprise a cross-sectional sample of 10,000 Finns aged 25 to 74 years. Analyses included participants with complete data on a health questionnaire, a health examination, who had no prevalent CVD (n = 4031). LCs with PA and sleep profiles were previously defined using latent class analysis. Ten metabolic risk factors and the Framingham 10-year CVD risk score were compared between the LCs. PA and sleep class profiles were substantially similar for genders. Compared to LC-1, with a profile including high PA and sufficient sleep, membership in LC-4, with a profile including sedentariness and insufficient sleep was associated with high metabolic risk factors in women but not in men. In women, also membership in LC-2, with a profile including light PA, sufficient sleep, and high sedentariness was associated with high metabolic risk factors. The Framingham 10-year CVD risk score was highest in LCs 2 and 4 in both genders. Membership in LCs differentiated by PA and sleep profiles was associated with metabolic risk factors merely in women, suggesting gender differences in the interrelationships of health behaviors and metabolic risk factors. Total CVD risk differed between the LCs despite of gender; however, the effect was small.

  20. Association between dietary phylloquinone intake and peripheral metabolic risk markers related to insulin resistance and diabetes in elderly subjects at high cardiovascular risk

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    Juanola-Falgarona Martí

    2013-01-01

    Full Text Available Abstract Background Vitamin K has been related to glucose metabolism, insulin sensitivity and diabetes. Because inflammation underlies all these metabolic conditions, it is plausible that the potential role of vitamin K in glucose metabolism occurs through the modulation of cytokines and related molecules. The purpose of the study was to assess the associations between dietary intake of vitamin K and peripheral adipokines and other metabolic risk markers related to insulin resistance and type 2 diabetes mellitus. Methods Cross-sectional and longitudinal assessments of these associations in 510 elderly participants recruited in the PREDIMED centers of Reus and Barcelona (Spain. We determined 1-year changes in dietary phylloquinone intake estimated by food frequency questionnaires, serum inflammatory cytokines and other metabolic risk markers. Results In the cross-sectional analysis at baseline no significant associations were found between dietary phylloquinone intake and the rest of metabolic risk markers evaluated, with exception of a negative association with plasminogen activator inhibitor-1. After 1-year of follow-up, subjects in the upper tertile of changes in dietary phylloquinone intake showed a greater reduction in ghrelin (−15.0%, glucose-dependent insulinotropic peptide (−12.9%, glucagon-like peptide-1 (−17.6%, IL-6 (−27.9%, leptin (−10.3%, TNF (−26.9% and visfatin (−24.9% plasma concentrations than those in the lowest tertile (all p Conclusion These results show that dietary phylloquinone intake is associated with an improvement of cytokines and other markers related to insulin resistance and diabetes, thus extending the potential protection by dietary phylloquinone on chronic inflammatory diseases. Trial registration http://www.controlled-trials.com as ISRCTN35739639

  1. Contributions of polygenic risk for obesity to PTSD-related metabolic syndrome and cortical thickness.

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    Wolf, Erika J; Miller, Danielle R; Logue, Mark W; Sumner, Jennifer; Stoop, Tawni B; Leritz, Elizabeth C; Hayes, Jasmeet P; Stone, Annjanette; Schichman, Steven A; McGlinchey, Regina E; Milberg, William P; Miller, Mark W

    2017-10-01

    Research suggests that posttraumatic stress disorder (PTSD) is associated with metabolic syndrome (MetS) and that PTSD-associated MetS is related to decreased cortical thickness. However, the role of genetic factors in these associations is unclear. This study evaluated contributions of polygenic obesity risk and PTSD to MetS and of MetS and polygenic obesity risk to cortical thickness. 196 white, non-Hispanic veterans of the wars in Iraq and Afghanistan underwent clinical diagnostic interviews, physiological assessments, and genome-wide genotyping; 168 also completed magnetic resonance imaging scans. Polygenic risk scores (PRSs) for obesity were calculated from results of a prior genome-wide association study (Speliotes et al., 2010) and PTSD and MetS severity factor scores were obtained. Obesity PRS (β=0.15, p=0.009) and PTSD (β=0.17, p=0.005) predicted MetS and interacted such that the association between PTSD and MetS was stronger in individuals with greater polygenic obesity risk (β=0.13, p=0.02). Whole-brain vertex-wise analyses suggested that obesity PRS interacted with MetS to predict decreased cortical thickness in left rostral middle frontal gyrus (β=-0.40, pobesity genetic risk increases stress-related metabolic pathology, and compounds the ill health effects of MetS on the brain. Genetic proclivity towards MetS should be considered in PTSD patients when prescribing psychotropic medications with adverse metabolic profiles. Results are consistent with a growing literature suggestive of PTSD-related accelerated aging. Published by Elsevier Inc.

  2. Metabolically healthy obesity and risk of leukoaraiosis; a population based cross-sectional study.

    Science.gov (United States)

    Okamura, Takuro; Hashimoto, Yoshitaka; Hamaguchi, Masahide; Ohbora, Akihiro; Kojima, Takao; Fukui, Michiaki

    2018-04-10

    Metabolically healthy obese (MHO) individual is known to be defended from the metabolic complications of obesity. Leukoaraiosis, which is commonly detected on brain magnetic resonance imaging (MRI), is now recognized as a risk of stroke, dementia and death. However, the association between MHO and the prevalence of leukoaraiosis is unclear. In this cross-sectional study of 796 participants who received a medical examination program, we investigated the association between MHO and the prevalence of leukoaraiosis. We used common clinical markers for definition of metabolic healthy status: blood pressure, fasting plasma glucose, triglycerides and high-density lipoprotein cholesterol concentrations. Obesity was defined by body mass index ≥25.0 kg/m 2 . We diagnosed leukoaraiosis by fluid-attenuated inversion recovery without hypointensity on T1-weighted images or the presence of a hyperintensity on T2-weighted images. The crude prevalence proportion of leukoaraiosis was 44.5% (case/n = 171/384) in metabolically healthy nonobese (MHNO) individual, 46.3% (44/95) in MHO individual, 62.3% (114/183) in metabolically unhealthy nonobese (MUNO) individual or 56.6% (77/136) in MUO individual. The odds ratios of prevalence of leukoaraiosis were 1.19 (95% CI 0.74-1.90, p = 0.471) for MHO, 1.79 (1.22-2.62, p = 0.003) for MUNO and 1.56 (1.03-2.37, p = 0.037) for MUO individuals after adjusting for sex, age, smoking statues, habit of exercise and alcohol, compared with MHNO individual. We revealed that MHO individuals were not related with the higher risk of leukoaraiosis, whereas MUNO and MUO individuals were.

  3. Prevalence and associated factors of cardio-metabolic risk factors in Iranian seafarers

    DEFF Research Database (Denmark)

    Baygi, Fereshteh; Jensen, Olaf Chresten

    Background: Since Iran’s economy is based on the sale of petroleum products, seafaring is considered a crucial job. Little research has been done on issues related to seafarers’ health in Iranian maritime industry. The present study investigated the prevalence and associated factors of cardio...... (of elevated total cholesterol, elevated low-density lipoprotein cholesterol, and elevated very low-density lipoprotein cholesterol) and general obesity were included as additional cardio-metabolic risk factors. Results: The mean age of the participants was 36.0 ± 10.3 years. The prevalence of Met......S was 14.9%. The common cardio-metabolic risk factors were excess weight (51.1%), abdominal obesity (38.5%), and smoking (27.8%) among Iranian seafarers. In multivariate analysis, age (OR: 1.05, 95% CI: 1.01–1.09) and body mass index (OR: 1.14, 95% CI: 1.01–1.27) were associated with the increase...

  4. A prospective study of dairy consumption in relation to changes in metabolic risk factors: the Hoorn Study.

    Science.gov (United States)

    Snijder, Marieke B; van Dam, Rob M; Stehouwer, Coen D A; Hiddink, Gerrit J; Heine, Robert J; Dekker, Jacqueline M

    2008-03-01

    Higher dairy consumption has been suggested to reduce the risk of obesity and metabolic disturbances. The aim of our study was to investigate the prospective association between dairy consumption and changes in weight and metabolic disturbances. Baseline dairy intake (servings/day) was assessed by a semi-quantitative food-frequency questionnaire in 1,124 participants of the Hoorn Study. Linear and logistic regression analyses were performed to investigate the association between dairy intake and 6.4-year change in weight, fat distribution, and metabolic risk factors (glucoses, lipids, blood pressure) and the incidence of metabolic syndrome (MS). Baseline dairy consumption was not associated with changes in fasting and post-load glucose concentrations, serum lipid levels (high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, and triglycerides), or blood pressure, nor with the risk of developing the MS in 6.4 years (odds ratio with 95% confidence interval was 0.86 (0.52-1.42) comparing highest with lowest quartile of dairy consumption). In subjects with BMI consumption was significantly associated with an increase in BMI, weight, waist, and a decrease in high-density lipoprotein. Our results do not support the hypothesis that a higher dairy consumption protects against weight gain and development of metabolic disturbances in a Dutch elderly population.

  5. Metabolic effects of an AT1-receptor blockade combined with HCTZ in cardiac risk patients: a non interventional study in primary care

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    Schönrock Eleonore

    2008-11-01

    Full Text Available Abstract Background The reduction of blood pressure alone does not eliminate the increased risk of arterial hypertension. Whilst concomitant metabolic risk factors have been shown to be responsible, the available pharmacotherapy has differential effects on these metabolic risk factors. For example, diuretics and betablockers worsen glucose metabolism, hence the starting point of the current subanalysis of the CHILI (Candesartan in patients with HIgher cardiovascuLar rIsk study was the assumption that an angiotensin receptor blocker may counterbalance the metabolic effects of a low dose diuretic in patients with several metabolic risk factors. Methods The present study was performed as a non-interventional observational study in Germany. Patients with previously uncontrolled hypertension with at least one further risk factor in which physicians deemed a treatment with 16 mg Candesartan/12.5 mg HCTZ to be necessary were included. The risk factors were calculated in patient subgroups with diabetes, the metabolic syndrome (MetSyn and neither condition (control. The risk of cardiovascular mortality within the next 10 years was calculated using the SCORE algorithm of the ESC. Results Between August 2006 and February 2007 a total of 3,787 patients were included into the non-interventional trial. Patients were 62.2 ± 11.3 years old, 48.1% were female, 97.5% had at least one additional risk factor. Blood pressure was reduced by -27.2/-13.4 mmHg with only minor non significant variations between patient groups. Waist circumference was reduced (P Conclusion The present study demonstrates that a 16 mg candesartan/12.5 mg HCTZ based treatment results in a pronounced blood pressure reduction and was associated with a favourable change in metabolic risk factors such as HDL cholesterol, triglycerides and blood glucose. These data indicate that metabolic effects observed in clinical trials like ALPINE, SCOPE or CHARM can also be observed in an unselected

  6. A unique rodent model of cardiometabolic risk associated with the metabolic syndrome and polycystic ovary syndrome.

    Science.gov (United States)

    Shi, Danni; Dyck, Michael K; Uwiera, Richard R E; Russell, Jim C; Proctor, Spencer D; Vine, Donna F

    2009-09-01

    Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenism, oligo-/anovulation, and polycystic ovarian morphology and is a complex endocrine disorder that also presents with features of the metabolic syndrome, including obesity, insulin resistance, and dyslipidemia. These latter symptoms form cardiometabolic risk factors predisposing individuals to the development of type 2 diabetes and cardiovascular disease (CVD). To date, animal models to study PCOS in the context of the metabolic syndrome and CVD risk have been lacking. The aim of this study was to investigate the JCR:LA-cp rodent as an animal model of PCOS associated with the metabolic syndrome. Metabolic indices were measured at 6 and 12 wk, and reproductive parameters including ovarian morphology and estrous cyclicity were assessed at 12 wk or adulthood. At 6 wk of age, the cp/cp genotype of the JCR:LA-cp strain developed visceral obesity, insulin resistance, and dyslipidemia (hypertriglyceridemia and hypercholesterolemia) compared with control animals. Serum testosterone concentrations were not significantly different between groups at 6 wk of age. However, at 12 wk, the cp/cp genotype had higher serum testosterone concentrations, compared with control animals, and presented with oligoovulation, a decreased number of corpora lutea, and an increased number of total follicles, in particular atretic and cystic follicles. The cardiometabolic risk factors in the cp/cp animals were exacerbated at 12 wk including obesity, insulin resistance, and dyslipidemia. The results of this study demonstrate that the JCR:LA-cp rodent may be a useful PCOS-like model to study early mechanisms involved in the etiology of cardiometabolic risk factors in the context of both PCOS and the metabolic syndrome.

  7. Metabolic syndrome, insulin resistance and other cardiovascular risk factors in university students.

    Science.gov (United States)

    Barbosa, José Bonifácio; dos Santos, Alcione Miranda; Barbosa, Marcelo Mesquita; Barbosa, Márcio Mesquita; de Carvalho, Carolina Abreu; Fonseca, Poliana Cristina de Almeida; Fonseca, Jessica Magalhães; Barbosa, Maria do Carmo Lacerda; Bogea, Eduarda Gomes; da Silva, Antônio Augusto Moura

    2016-04-01

    A cross-sectional population-based study using questionnaire and anthropometric data was conducted on 968 university students of São Luís, Brazil, from which 590 showed up for blood collection. In the statistical analysis the Student t-test, Mann-Whitney and chi-square tests were used. The prevalence of metabolic syndrome by the Joint Interim Statement (JIS) criteria was 20.5%, almost three times more prevalent in men (32.2%) than in women (13.5%) (P University students of private institutions had higher prevalences of sedentary lifestyle, obesity, abdominal obesity, elevated triglycerides and metabolic syndrome than students from public institutions. High prevalences of metabolic syndrome, insulin resistance and other cardiovascular risk factors were found in this young population. This suggests that the burden of these diseases in the future will be increased.

  8. Sex- and gender-related prevalence, cardiovascular risk and therapeutic approach in metabolic syndrome: A review of the literature.

    Science.gov (United States)

    Pucci, Giacomo; Alcidi, Riccardo; Tap, Lisanne; Battista, Francesca; Mattace-Raso, Francesco; Schillaci, Giuseppe

    2017-06-01

    Metabolic syndrome (MS), a cluster of metabolic abnormalities linked to insulin-resistance and abdominal obesity, is associated with an increased risk of Type II diabetes mellitus (DM) and cardiovascular (CV) disease. Its prevalence is high, affecting 20%-30% of the general population, and increases with age in a sex-specific manner: in fact, while below 50 years it is slightly higher in men, it reverses after 50 years. The pronounced age-related increase in the prevalence of MS in women occurs as the result of several factors, which may be classified into sex- and gender-related factors. Sex-related factors, linked to genetical and biological pathways, are mainly driven by hyperandrogenism, insulin-resistance, and the associated increase in abdominal obesity and HDL-cholesterol reduction occurring after menopause. Gender-related factors are sensitive to social and cultural behaviors, dietary habits and psychosocial factors. Women are more prone than men to develop MS in response to work stress and low socio-economic status. Sex and gender differences in the prevalence of MS may translate in different CV risk associated. Prospective studies suggest that the CV risk in women with MS is not only equal but also superior to the CV risk of men with MS. This difference is mostly attenuated when adjusting for the presence of overt DM. Despite similar odds for CV events, the number of CV events may be higher in elderly women because of the higher prevalence of MS compared to men in this age group. Men and women may also have a differential response to treatments for MS, such as lifestyle measures and weight loss. Recent observations suggest that men are better responders than women to non-pharmaceutical therapeutic strategies aimed at reducing the prevalence of MS, although this should be confirmed in large-scale studies. The present review describes the impact of sex and gender on the prevalence, clinical presentation, prognostic significance and treatment of the MS

  9. Metabolic Risk Susceptibility in Men Is Partially Related to Adiponectin/Leptin Ratio

    Directory of Open Access Journals (Sweden)

    Gloria Lena Vega

    2013-01-01

    Full Text Available Background. High adiponectin/leptin ratio may be protective from metabolic risks imparted by high triglyceride, low HDL, and insulin resistance. Methods. This cross-sectional study examines plasma adipokine levels in 428 adult men who were subgrouped according to low (<6.5 μg/mLand high (≥6.5 μg/mLadiponectin levels or a low or high ratio of adiponectin/leptin. Results. Men with high adiponectin/leptin ratio had lower plasma triglyceride and higher HDL cholesterol than those with low ratio. Similarly, those with high adiponectin/leptin ratio had lower TG/HDL cholesterol ratio and HOMA2-IR than those with low ratio. In contrast, levels of adiponectin or the ratio of adiponectin/leptin did not associate with systolic blood pressure. But the ratio of adiponectin/leptin decreased progressively with the increase in the number of risk factors for metabolic syndrome. Conclusion. Adipokine levels may reflect adipose tissue triglyceride storage capacity and insulin sensitivity. Leptin is an index of fat mass, and adiponectin is a biomarker of triglyceride metabolism and insulin sensitivity. Men with high adiponectin/leptin ratios have better triglyceride profile and insulin sensitivity than men with a low ratio regardless of waist girth.

  10. Hypogonadism in testicular cancer patients is associated with risk factors of cardiovascular disease and the metabolic syndrome.

    Science.gov (United States)

    Bogefors, C; Isaksson, S; Bobjer, J; Kitlinski, M; Leijonhufvud, I; Link, K; Giwercman, A

    2017-07-01

    More than 95% of testicular cancer are cured but they are at increased long-term risk of cardiovascular disease. The risk of cardiovascular disease and treatment intensity was reported, but it is unknown whether this effect of cancer therapy is direct or indirect, mediated through androgen deficiency. Our aim was, therefore, to evaluate whether testicular cancer patients have increased the prevalence of risk factors of cardiovascular disease and if these risk factors are associated with hypogonadism and/or the cancer treatment given. In 92 testicular cancer patients (mean 9.2 years follow-up) and age-matched controls, blood samples were analysed for lipids, total testosterone, luteinizing hormone (LH), glucose and insulin. An estimate of insulin resistance, HOMAir was calculated. Hypogonadism was defined as total testosterone  10 IU/L and/or androgen replacement. In testicular cancer men with hypogonadism, compared with eugonadal patients, higher insulin (mean difference: 3.10 mIU/L; p = 0.002) and HOMAir (mean difference: 0.792; p = 0.007) were detected. Hypogonadism group presented with increased risk (OR = 4.4; p = 0.01) of metabolic syndrome. Most associations between the treatment given and the metabolic parameters became statistically non-significant after adjustment for hypogonadism. In conclusion, testicular cancer patients with signs of hypogonadism presented with significantly increased risk of metabolic syndrome and investigation of endocrine and metabolic parameters is warranted in these patients. © 2017 American Society of Andrology and European Academy of Andrology.

  11. Risk Factors and Spatial Clusters of Cryptosporidium Infection among School-Age Children in a Rural Region of Eastern China.

    Science.gov (United States)

    Zheng, Hao; He, Jianfeng; Wang, Li; Zhang, Rong; Ding, Zhen; Hu, Wenbiao

    2018-05-06

    The epidemiological features of Cryptosporidium infection among school-age children in China still remain unclear. Hereby, a cross-sectional study of 1637 children aged 3⁻9 years was designed to investigate the risk factors and spatial clusters of Cryptosporidium infection in a rural region of Eastern China. Stool specimens collected from participants were examined using the auramine-phenol and modified acid-fast staining. Univariable and multivariable analyses were performed to identify the risk factors of Cryptospordium infection. The spatial clusters were analyzed by a discrete Poisson model using SaTScan software. Our results showed that the overall prevalence of Cryptosporidium infection was 11‰ in the research region. At the age of 3⁻6 years (odds ratios (OR) = 3.072, 95% confidence intervals (CI) : 1.001⁻9.427), not washing hands before eating and after defecation (OR = 3.003, 95% CI: 1.060⁻8.511) were recognized as risk factors. Furthermore, a high-risk spatial cluster (relative risk = 4.220, p = 0.025) was identified. These findings call for effective sustainable interventions including family and school-based hygienic education to reduce the prevalence of Cryptosporidium infection. Therefore, an early warning system based spatiotemporal models with risk factors is required to further improve the effectiveness and efficiency of cryptosporidiosis control in the future.

  12. A review of Ramadan fasting and regular physical activity on metabolic syndrome indices

    Directory of Open Access Journals (Sweden)

    Seyyed Reza Attarzadeh Hosseini

    2016-03-01

    Full Text Available Introduction: Metabolic syndrome constitutes a cluster of risk factors such as obesity, hyperglycemia,  hypertension, and dyslipidemia, which increase the risk of cardiovascular diseases and type II diabetes mellitus. In this review article, we aimed to discuss the possible effects of fasting and regular physical activity on risk factors for cardiovascular diseases.  Methods: Online databases including Google Scholar, SID, PubMed, and MagIran were searched, using the following keywords:  “training”, “exercise”, “physical activity”, “fasting”, “Ramadan”, “metabolic syndrome”, “fat percentage”, “blood pressure”, “blood sugar”, “cholesterol”, “triglyceride”, and “lowdensity lipoprotein-cholesterol”. All articles including research studies, review articles, descriptive and analytical studies, and ross-sectional research, published during 2006-2015, were reviewed. In case of any errors in the methodologyof articles, they were removed from our analysis. Results:Based on our literature review, inconsistent findings have been reported on risk factors formetabolic syndrome. However, the majority of conducted studies have suggested the positive effects offasting on reducing the risk factors for metabolic syndrome. Conclusion: Although fasting in different seasons of the year has no significant impacts on mental health or physical fitness, it can reduce the risk of various diseases such as cardiovascular diseases. Also, based on the conducted studies, if individuals adhere to a proper diet, avoid excessive eating, drink sufficient amounts of fluids, and keep a healthy level of physical activity, fasting can improve their physical health.

  13. Associations Between Adiposity and Metabolic Syndrome Over Time: The Healthy Twin Study.

    Science.gov (United States)

    Song, Yun-Mi; Sung, Joohon; Lee, Kayoung

    2017-04-01

    We evaluated the association between changes in adiposity traits including anthropometric and fat mass indicators and changes in metabolic syndrome traits including metabolic syndrome clustering and individual components over time. We also assessed the shared genetic and environmental correlations between the two traits. Participants were 284 South Korean twin individuals and 279 nontwin family members had complete data for changes in adiposity traits and metabolic syndrome traits of the Healthy Twin study. Mixed linear model and bivariate variance-component analysis were applied. Over a period of 3.1 ± 0.6 years of study, changes in adiposity traits [body mass index (BMI), waist circumference, total fat mass, and fat mass to lean mass ratio] had significant associations with changes in metabolic syndrome clustering [high blood pressure, high serum glucose, high triglycerides (TG), and low high-density lipoprotein cholesterol] after adjusting for intra-familial and sibling correlations, age, sex, baseline metabolic syndrome clustering, and socioeconomic factors and health behaviors at follow-up. Change in BMI associated significantly with changes in individual metabolic syndrome components compared to other adiposity traits. Change in metabolic syndrome component TG was a better predictor of changes in adiposity traits compared to changes in other metabolic components. These associations were explained by significant environmental correlations but not by genetic correlations. Changes in anthropometric and fat mass indicators were positively associated with changes in metabolic syndrome clustering and those associations appeared to be regulated by environmental influences.

  14. Cardiovascular and metabolic profiles amongst different polycystic ovary syndrome phenotypes: who is really at risk?

    Science.gov (United States)

    Daan, Nadine M P; Louwers, Yvonne V; Koster, Maria P H; Eijkemans, Marinus J C; de Rijke, Yolanda B; Lentjes, Eef W G; Fauser, Bart C J M; Laven, Joop S E

    2014-11-01

    To study the cardiometabolic profile characteristics and compare the prevalence of cardiovascular (CV) risk factors between women with different polycystic ovary syndrome (PCOS) phenotypes. A cross-sectional multicenter study analyzing 2,288 well phenotyped women with PCOS. Specialized reproductive outpatient clinic. Women of reproductive age (18-45 years) diagnosed with PCOS. Women suspected of oligo- or anovulation underwent a standardized screening consisting of a systematic medical and reproductive history taking, anthropometric measurements, and transvaginal ultrasonography followed by an extensive endocrinologic/metabolic evaluation. Differences in cardiometabolic profile characteristics and CV risk factor prevalence between women with different PCOS phenotypes, i.e., obesity/overweight, hypertension, insulin resistance, dyslipidemia, and metabolic syndrome. Women with hyperandrogenic PCOS (n=1,219; 53.3% of total) presented with a worse cardiometabolic profile and a higher prevalence of CV risk factors, such as obesity and overweight, insulin resistance, and metabolic syndrome, compared with women with nonhyperandrogenic PCOS. In women with nonhyperandrogenic PCOS overweight/obesity (28.5%) and dyslipidemia (low-density lipoprotein cholesterol≥3.0 mmol/L; 52.2%) were highly prevalent. Women with hyperandrogenic PCOS have a worse cardiometabolic profile and higher prevalence of CV risk factors compared with women with nonhyperandrogenic PCOS. However, all women with PCOS should be screened for the presence of CV risk factors, since the frequently found derangements at a young age imply an elevated risk for the development of CV disease later in life. Copyright © 2014 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

  15. Dietary diversity score is associated with cardiovascular risk factors and serum adiponectin concentrations in patients with metabolic syndrome.

    Science.gov (United States)

    Farhangi, Mahdieh Abbasalizad; Jahangiry, Leila

    2018-04-17

    Metabolic syndrome is associated with cardio-metabolic risk factors and lipid abnormalities. Previous studies evaluated the dietary habits and nutrient intakes among patients with metabolic syndrome; however the association between metabolic risk factors and adiponectin with dietary diversity score (DDS) in patients with metabolic syndrome has not been evaluated yet. Therefore the aim of the current study was to evaluate these relationships among patients with metabolic syndrome. One hundred sixty patients with metabolic syndrome were recruited in the study. The anthropometric parameters including weight, height, waist circumference and hip circumference were measured. Serum adiponectin concentration was measured by enzyme- linked immunosorbent assay method (ELISA). Lipid profile and fasting serum glucose concentrations (FSG) were also measured with enzymatic colorimetric methods. Blood pressure was also measured and DDS was calculated using the data obtained from food frequency questionnaire (FFQ). Subjects in lower DDS categorizes had significantly lower energy and fiber intake; whereas mean protein intake of subjects in the highest quartile was significantly higher than second quartile. Higher prevalence of obesity was also observed in the top quartiles (P metabolic syndrome components among patients in lower DDS quartiles was significantly higher (P metabolic syndrome. However, for further confirming the findings, more studies are warranted.

  16. A systematic review on the relations between pasta consumption and cardio-metabolic risk factors.

    Science.gov (United States)

    Huang, M; Li, J; Ha, M-A; Riccardi, G; Liu, S

    2017-11-01

    The traditional Italian dish pasta is a major food source of starch with low glycemic index (GI) and an important low-GI component of the Mediterranean diet. This systematic review aimed at assessing comprehensively and in-depth the potential benefit of pasta on cardio-metabolic disease risk factors. Following a standard protocol, we conducted a systematic literature search of PubMed, CINAHL, and Cochrane Central Register of Controlled Trials for prospective cohort studies and randomized controlled dietary intervention trials that examined pasta and pasta-related fiber and grain intake in relation to cardio-metabolic risk factors of interest. Studies comparing postprandial glucose response to pasta with that to bread or potato were quantitatively summarized using meta-analysis of standardized mean difference. Evidence from studies with pasta as part of low-GI dietary intervention and studies investigating different types of pasta were qualitatively summarized. Pasta meals have significantly lower postprandial glucose response than bread or potato meals, but evidence was lacking in terms of how the intake of pasta can influence cardio-metabolic disease risk. More long-term randomized controlled trials are needed where investigators directly contrast the cardio-metabolic effects of pasta and bread or potato. Long-term prospective cohort studies with required data available should also be analyzed regarding the effect of pasta intake on disease endpoints. Copyright © 2017 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

  17. Increased metabolic risk in adolescent offspring of mothers with type 1 diabetes: The EPICOM study

    DEFF Research Database (Denmark)

    Vlachová, Zuzana; Bytoft, Birgitte; Knorr, Sine

    2015-01-01

    AIMS/HYPOTHESIS: We aimed to investigate metabolic risk factors, insulin sensitivity and insulin secretion in adolescent offspring of mothers with type 1 diabetes compared with offspring of non-diabetic mothers. METHODS: During 1993-1999, pregnancies of women with type 1 diabetes in Denmark were...... with offspring metabolic outcomes. CONCLUSIONS/INTERPRETATION: Adolescent offspring of mothers with type 1 diabetes had a less favourable metabolic profile and higher frequency of prediabetes than the background population. Significant associations between these outcomes and maternal HbA1c levels in pregnancy...

  18. Micronutrients Involved in One-Carbon Metabolism and Risk of Breast Cancer Subtypes.

    Directory of Open Access Journals (Sweden)

    Ilaria Cancarini

    Full Text Available Vitamins involved in one-carbon metabolism are hypothesized to influence breast cancer (BC risk. However, epidemiologic studies that examined associations between B vitamin intake and BC risk have provided inconsistent results. We prospectively examined, in the Italian ORDET cohort, whether B vitamin consumption was associated with risk of BC and BC subtypes.After a mean follow-up of 16.5 years, 391 BCs were diagnosed among 10,786 cohort women. B vitamin intakes were estimated from food frequency questionnaires. Cox proportional hazard models adjusted for energy intake and confounders, estimated hazard ratios (HR with 95% confidence intervals (CIs for BC according to intake.RRs were 0.61 (95% CI 0.38-0.97 highest vs. lowest quartile; P trend 0.025 for thiamine; 0.48 (95% CI 0.32-0.71; P trend <0.001 for riboflavin; 0.59 (95% CI 0.39-0.90; P trend 0.008 for vitamin B6, and 0.65 (95% CI 0.44-0.95; P trend 0.021 for folate. As regards risk of BC subtypes, high riboflavin and folate were significantly associated with lower risk of estrogen receptor positive (ER+ and progesterone receptor positive (PR+ cancers, and high thiamine was associated with lower risk of ER-PR- cancers. High riboflavin was associated with lower risk of both HER2+ and HER2- cancers, high folate with lower risk of HER2- disease, and high thiamine with HER2+ disease.These findings support protective effects of thiamine and one-carbon metabolism vitamins (folate, riboflavin, and vitamin B6 against BC in general; while folate may also protect against ER+PR+ and HER2- disease; and thiamine against ER-PR-, and HER2+ disease.

  19. Metabolic risk factors for esophageal squamous cell carcinoma and adenocarcinoma: a prospective study of 580 000 subjects within the Me-Can project

    International Nuclear Information System (INIS)

    Lindkvist, Björn; Nagel, Gabriele; Jonsson, Håkan; Selmer, Randi; Ulmer, Hanno; Tretli, Steinar; Stattin, Pär; Manjer, Jonas; Johansen, Dorthe; Stocks, Tanja; Concin, Hans; Bjørge, Tone; Almquist, Martin; Häggström, Christel; Engeland, Anders; Hallmans, Göran

    2014-01-01

    Obesity is associated with an increased risk of esophageal adenocarcinoma (EAC) and a decreased risk of esophageal squamous cell carcinoma (ESCC). However, little is known about the risk of EAC and ESCC related to other metabolic risk factors. We aimed to examine the risk of EAC and ESCC in relation to metabolic risk factors, separately and combined in a prospective cohort study. The Metabolic Syndrome and Cancer cohort includes prospective cohorts in Austria, Norway and Sweden, with blood pressure, lipids, glucose and BMI available from 578 700 individuals. Relative risk (RR) for EAC and ESCC was calculated using Cox’s proportional hazards analysis for metabolic risk factors categorized into quintiles and transformed into z-scores. The standardized sum of all z-scores was used as a composite score for the metabolic syndrome (MetS). In total, 324 histologically verified cases of esophageal cancer were identified (114 EAC, 184 ESCC and 26 with other histology). BMI was associated with an increased risk of EAC (RR 7.34 (95% confidence interval, 2.88-18.7) top versus bottom quintile) and negatively associated with the risk of ESCC (RR 0.38 (0.23-0.62)). The mean value of systolic and diastolic blood pressure (mid blood pressure) was associated with the risk of ESCC (RR 1.77 (1.37-2.29)). The composite MetS score was associated with the risk of EAC (RR 1.56 (1.19-2.05) per one unit increase of z-score) but not ESCC. In accordance with previous studies, high BMI was associated with an increased risk of EAC and a decreased risk of ESCC. An association between high blood pressure and risk of ESCC was observed but alcohol consumption is a potential confounding factor that we were not able to adjust for in the analysis. The MetS was associated with EAC but not ESCC. However this association was largely driven by the strong association between BMI and EAC. We hypothesize that this association is more likely to be explained by factors directly related to obesity than the

  20. Metabolic disorders in dairy Simmentals - prevalence risk and effect on subsequent daily milk traits

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    Vesna Gantner

    2018-01-01

    Full Text Available In order to analyse metabolic disorders in Simmental cows, 2.641.223 test-day records have been used. The metabolic disorders prevalence risk was indicated by the fat to protein (F/P ratio, while the subclinical disorder was demonstrated using the F/P ratio and daily production. In terms of the ketosis prevalence risk (KPR, the highest prevalence risks occurred at the 20th lactation day in all tested cows with exception of cows in parity P4+ which experienced peak prevalence risk at 25th lactation day. A steady decrease of KPR after peak prevalence was observed in all animals except the 3rd lactation cows which experienced the second peak prevalence at the 30th lactation day, after which the prevalence risk continued to decline. The highest acidosis prevalence risk (APR was detected among 4+ parity cows. Considering the lactation stage, the highest APR occurred within the first 10 days, with the indication from 16 to 23 %, depending on parity. The peak prevalence risk was followed by a considerable decline during the ensuing 20 days. The prevalence risk began to increase among all cows after the 25th lactation day. Furthermore, there was a considerable decrease in a daily milk yield and variation of daily milk contents due to subclinical disorders. The most noticeable drop in daily milk yield, for both ketosis/acidosis, was detected in cows in 4+ parity in the amounts of 7.45 kg/day and 2.73 kg/day respectively. There was also a production decline in the subsequent milk controls. Subclinical disorders can also substantially change daily milk contents. The daily fat content was considerably reduced by the subclinical ketosis and the same parameter was considerably increased by the subclinical acidosis. The opposite trends were detected for daily protein content. Since indication criteria was set on Holstein population and considering the fact that Simmental cows produce noticeably less, some adjustment is needed before a routine use of test

  1. CORRELATION OF THE COMPONENTS OF THE METABOLIC SYNDROME IN CHILDREN WITH CORONARY ANGIOGRAPHY FINDINGS AND CARDIO-METABOLIC RISK FACTORS IN THEIR PARENTS

    Directory of Open Access Journals (Sweden)

    Katayoun Movassaghi

    2010-12-01

    Full Text Available   Abstract INTRODUCTION: Although coronary artery disease (CAD becomes symptomatic late in life, early identification and modification of risk factors may reduce its future incidence. methods: In this cross-sectional study, 108 subjects aged 6-18 years were randomly selected from among children of patients who underwent coronary angiography at Chamran Heart Center, Isfahan, Iran. The parents were assigned to two groups according to the presence or not of coronary stenosis in angiography. Each group was divided into two subgroups, with or without the metabolic syndrome. All of the subjects were aged below 55 years. In addition to anthropometric measurements, blood pressure, fasting serum glucose, and insulin level were measured and lipid profile was assessed in the children of the patients. The data were analyzed with SPSS using independent t-test, Kruskal-Wallis, chi-square and standard linear multiple regression tests. results: In the group with stenosis in coronary angiography, the prevalence of the metabolic syndrome components was significantly higher in children of parents with the metabolic syndrome than in the other group (24 vs. 18; P=0.003. In the group without stenosis in coronary angiography, the children of parents with the metabolic syndrome had higher triglyceride (TG levels and lower levels of high-density lipoprotein (HDL cholesterol, low-density lipoprotein (LDL cholesterol, total cholesterol, and fasting blood glucose. CONCLUSIONS: Our study emphasizes the importance of primordial and primary prevention of cardiovascular disease, especially in children of families with high risk of premature atherosclerosis.     Keywords: Metabolic syndrome, familial aggregation, cardiovascular disease.

  2. Profile of Cardiovascular Risk Factors in Patients with Coronary Heart Disease, Normal and Impaired Carbohydrate Metabolism

    Directory of Open Access Journals (Sweden)

    І.V. Cherniavska

    2015-11-01

    Full Text Available The aim of research was to conduct the comparative analysis of the profile of cardiovascular risk factors in patients with coronary heart disease (CHD and normal either impaired carbohydrate metabolism. Materials and methods. One hundred and forty two patients were observed. In order to estimate the rate of different forms of CHD depending on the state of carbohydrate metabolism such groups were formed: the first group consisted of 83 patients with type 2 diabetes mellitus (DM, the second group involved 34 patients with impaired glucose tolerance (IGT, the third group consisted of 25 patients with normal carbohydrate metabolism. The ischemic changes of myocardium were detected by ambulatory ECG monitoring with the obligatory achievement of submaximal heart rate during the research. Results. Silent myocardial ischemia was educed in 19 (22.9 % patients with type 2 DM, in 3 (8.8 % persons with IGT and in 2 (8.0 % patients with normal carbohydrate metabolism. Smoking, burdened heredity, violation in the haemostatic system more often occurred in the group of patients with type 2 DM and silent myocardial ischemia in comparison with the patients with type 2 DM without CHD. The profile of general population cardiovascular risk factors in patients with CHD and type 2 DM belongs to the most unfavorable. At the same time for patients with early violations of carbohydrate metabolism and normal carbohydrate metabolism such profile statistically does not differentiate meaningfully. Conclusions. Patients with type 2 DM and silent myocardial ischemia as compared to patients with type 2 DM without CHD have more expressed violations of indexes of general population cardiovascular risk factors for certain.

  3. An exercise trial targeting African-American women with metabolic syndrome and at high risk for breast cancer: Rationale, design, and methods.

    Science.gov (United States)

    Dash, Chiranjeev; Makambi, Kepher; Wallington, Sherrie F; Sheppard, Vanessa; Taylor, Teletia R; Hicks, Jennifer S; Adams-Campbell, Lucile L

    2015-07-01

    Metabolic syndrome and obesity are known risk factors for breast cancers. Exercise interventions can potentially modify circulating biomarkers of breast cancer risk but evidence in African-Americans and women with metabolic syndrome is lacking. The Focused Intervention on Exercise to Reduce CancEr (FIERCE) trial is a prospective, 6-month, 3-arm, randomized controlled trial to examine the effect of exercise on obesity, metabolic syndrome components, and breast cancer biomarkers among African-American women at high risk of breast cancer. Two hundred-forty inactive women with metabolic syndrome and absolute risk of breast cancer ≥ 1.40 will be randomized to one of the three trial arms: 1) a supervised, facility-based exercise arm; 2) a home-based exercise arm; and 3) a control group that maintains physical activity levels through the course of the trial. Assessments will be conducted at baseline, 3 months, and 6 months. The primary outcome variables are anthropometric indicators of obesity, metabolic syndrome components, and inflammatory, insulin-pathway, and hormonal biomarkers of breast cancer risk. The FIERCE trial will provide evidence on whether a short-term exercise intervention might be effective in reducing breast cancer risk among African-American women with comorbidities and high breast cancer risk--a group traditionally under-represented in non-therapeutic breast cancer trials. NCT02103140. Copyright © 2015. Published by Elsevier Inc.

  4. Effects of Avocado (Persea americana) on Metabolic Syndrome: A Comprehensive Systematic Review.

    Science.gov (United States)

    Tabeshpour, Jamshid; Razavi, Bibi Marjan; Hosseinzadeh, Hossein

    2017-06-01

    Metabolic syndrome (MetS) is a clustering of risk factors including high blood glucose, dyslipidemia, hypertension, and obesity that lead to the increased risk of type 2 diabetes mellitus and cardiovascular diseases (CVDs), which are among leading causes of death in the world. Metabolic syndrome increases the risk of type 2 diabetes mellitus and CVDs by approximately five and three folds, respectively. Therefore, it is of vital importance to manage such conditions with herbal options which have less undesirable adverse effects and may be more efficacious in comparison with synthetic options. Avocado is a well-known source of carotenoids, minerals, phenolics, vitamins, and fatty acids. The lipid-lowering, antihypertensive, antidiabetic, anti-obesity, antithrombotic, antiatherosclerotic, and cardioprotective effects of avocado have been demonstrated in several studies. In this review, we aimed to find out avocado's pharmacological effects on different components of MetS. Moreover, this review report is performed on the MetS effects of peel, seed, flesh, and leaves of avocado. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

  5. The association of posttraumatic stress disorder and metabolic syndrome: a study of increased health risk in veterans.

    Science.gov (United States)

    Heppner, Pia S; Crawford, Eric F; Haji, Uzair A; Afari, Niloofar; Hauger, Richard L; Dashevsky, Boris A; Horn, Paul S; Nunnink, Sarah E; Baker, Dewleen G

    2009-01-09

    There is accumulating evidence for a link between trauma exposure, posttraumatic stress disorder (PTSD) and diminished health status. To assess PTSD-related biological burden, we measured biological factors that comprise metabolic syndrome, an important established predictor of morbidity and mortality, as a correlate of long-term health risk in PTSD. We analyzed clinical data from 253 male and female veterans, corresponding to five factors linked to metabolic syndrome (systolic and diastolic blood pressure, waist-to-hip ratio and fasting measures of high-density lipoprotein (HDL) cholesterol, serum triglycerides and plasma glucose concentration). Clinical cut-offs were defined for each biological parameter based on recommendations from the World Health Organization and the National Cholesterol Education Program. Controlling for relevant variables including sociodemographic variables, alcohol/substance/nicotine use and depression, we examined the impact of PTSD on metabolic syndrome using a logistic regression model. Two-fifths (40%) of the sample met criteria for metabolic syndrome. Of those with PTSD (n = 139), 43% met criteria for metabolic syndrome. The model predicted metabolic syndrome well (-2 log likelihood = 316.650, chi-squared = 23.731, p = 0.005). Veterans with higher severity of PTSD were more likely to meet diagnostic criteria for metabolic syndrome (Wald = 4.76, p = 0.03). These findings provide preliminary evidence linking higher severity of PTSD with risk factors for diminished health and increased morbidity, as represented by metabolic syndrome.

  6. Prevalence of Risk Factors for the Metabolic Syndrome in the Middle Income Caribbean Nation of St. Lucia

    Science.gov (United States)

    Cherry, Colleen O'Brien; Serieux, Elizabeth; Didier, Martin; Nuttal, Mary Elizabeth; Schuster, Richard J.

    2014-01-01

    The objective of this research was to measure the presence of metabolic syndrome risk factors in a sample population in the middle income Caribbean nation of St. Lucia and to identify the demographic and behavioral factors of metabolic syndrome among the study participants. Interviews and anthropometric measures were conducted with 499 St. Lucians of ages 18–99. Descriptive statistics were used for the analysis. Fifty-six percent of females and 18 percent of males had a waist size equal to or above the indicator for the metabolic syndrome. Behavioral risk factors such as sedentary lifestyle, smoking, and alcohol consumption varied by gender. Thirty-six percent of women and 22% of men reported a sedentary lifestyle and 43% of women and 65% of men reported any alcohol consumption. More research should be done to determine the cultural norms and gender differences associated with modifiable risk behaviors in St. Lucia. PMID:25309758

  7. Circulating irisin levels are positively associated with metabolic risk factors in sedentary subjects.

    Science.gov (United States)

    Moreno, María; Moreno-Navarrete, José María; Serrano, Marta; Ortega, Francisco; Delgado, Elías; Sanchez-Ragnarsson, Cecilia; Valdés, Sergio; Botas, Patricia; Ricart, Wifredo; Fernández-Real, José Manuel

    2015-01-01

    A physically active life-style plays an independent role in the protection against type 2 diabetes and cardiovascular diseases. Irisin, a novel exercise-induced myokine, activates thermogenesis in rodents through increasing beige fat cells abundance within white fat. We aimed to investigate circulating irisin levels in association with the degree of physical activity and various metabolic parameters in humans. Circulating irisin levels (ELISA) and metabolic parameters were analyzed in 428 subjects (195 men/233 women). Participants were classified according to their self-reported physical activity and to their area of residence. Circulating irisin levels were higher in active than in sedentary subjects (p = 0.006). Rural inhabitants showed higher circulating irisin levels than urban subjects (p sedentary participants, irisin levels were positively associated with metabolic risk factors (BMI, fasting insulin, HOMA and fasting triglycerides). The area of residence (β = - 0.592, p = sedentary participants, circulating irisin levels were positively associated with parameters related to an increased cardiometabolic risk. The present study confirmed that an active lifestyle increases circulating irisin levels, but only among subjects living in a rural environment. Area of residence might be a determinant of irisin levels.

  8. Toxic-metabolic Risk Factors in Pediatric Pancreatitis: Recommendations for Diagnosis, Management, and Future Research.

    Science.gov (United States)

    Husain, Sohail Z; Morinville, Veronique; Pohl, John; Abu-El-Haija, Maisam; Bellin, Melena D; Freedman, Steve; Hegyi, Peter; Heyman, Melvin B; Himes, Ryan; Ooi, Chee Y; Schwarzenberg, Sarah J; Usatin, Danielle; Uc, Aliye

    2016-04-01

    Pancreatitis in children can result from metabolic and toxic risk factors, but the evidence linking these factors is sparse. We review the evidence for association or causality of these risk factors in pancreatitis, discuss management strategies, and their rationale. We conducted a review of the pediatric pancreatitis literature with respect to the following risk factors: hyperlipidemia, hypercalcemia, chronic renal failure, smoking exposure, alcohol, and medications. Areas of additional research were identified. Hypertriglyceridemia of 1000 mg/dL or greater poses an absolute risk for pancreatitis; persistent elevations of calcium are predisposing. Further research is necessary to determine whether end-stage renal disease leads to increased pancreatitis in children similar to adults. It is unknown whether cigarette smoking exposure, which clearly increases risk in adults, also increases risk in children. The role of alcohol in pediatric pancreatitis, whether direct or modifying, needs to be elucidated. The evidence supporting most cases of medication-induced pancreatitis is poor. Drug structure, improper handling of drug by host, and bystander status may be implicated. Other pancreatitis risk factors must be sought in all cases. The quality of evidence supporting causative role of various toxic and metabolic factors in pediatric pancreatitis is variable. Careful phenotyping is essential, including search for other etiologic risk factors. Directed therapy includes correction/removal of any agent identified, and general supportive measures. Further research is necessary to improve our understanding of these pancreatitis risk factors in children.

  9. Metabolic Syndrome: Systems Thinking in Heart Disease.

    Science.gov (United States)

    Dommermuth, Ron; Ewing, Kristine

    2018-03-01

    Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors. MetS is associated with approximately 4-fold increase in the likelihood of developing type 2 diabetes mellitus (T2DM) and a 2-fold increase in the incidence of cardiovascular disease complications. MetS is a progressive, proinflammatory, prothrombotic condition that manifests itself along a broad spectrum of disease. It is associated with hypertension, obstructive sleep apnea, fatty liver disease, gout, and polycystic ovarian syndrome. Intervening in and reversing the pathologic process become more difficult as the disease progresses, highlighting the needs for increased individual and community surveillance and primary prevention. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. Quality of relationships with parents and friends in adolescence predicts metabolic risk in young adulthood.

    Science.gov (United States)

    Ehrlich, Katherine B; Hoyt, Lindsay Till; Sumner, Jennifer A; McDade, Thomas W; Adam, Emma K

    2015-09-01

    This study was designed to examine whether family and peer relationships in adolescence predict the emergence of metabolic risk factors in young adulthood. Participants from a large, nationally representative cohort study (N = 11,617 for these analyses) reported on their relationship experiences with parents and close friends during adolescence. Fourteen years later, interviewers collected blood samples, as well as anthropometric and blood pressure measurements. Blood samples were analyzed for HbA1c. Ordered logistic regressions revealed that for females, supportive parent-child relationships and close male friendships in adolescence were associated with reduced odds of having elevated metabolic risk markers in young adulthood. These effects remained significant even after controlling for baseline measures of body mass index (BMI) and health and demographic covariates. The protective effects of close relationships were not significant for males, however. Exploratory analyses with 2-parent families revealed that supportive father-child relationships were especially protective for females. These findings suggest that, for females, close and supportive relationships with parents and male friends in adolescence may reduce the risk of metabolic dysregulation in adulthood. (c) 2015 APA, all rights reserved).

  11. Early Onset Childhood Obesity and Risk of Metabolic Syndrome

    Centers for Disease Control (CDC) Podcasts

    2017-10-09

    This podcast features Lorena Pacheco, a doctoral student at the University of California San Diego and one of the winners of PCD’s 2017 Student Research Paper Contest. Lorena answers questions about her winning research, which focuses on the relationship between early onset obesity as a risk factor for increased metabolic syndrome in Chilean children.  Created: 10/9/2017 by Preventing Chronic Disease (PCD), National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP).   Date Released: 10/9/2017.

  12. Gene-Gene Interactions in the Folate Metabolic Pathway and the Risk of Conotruncal Heart Defects

    Directory of Open Access Journals (Sweden)

    Philip J. Lupo

    2010-01-01

    Full Text Available Conotruncal and related heart defects (CTRD are common, complex malformations. Although there are few established risk factors, there is evidence that genetic variation in the folate metabolic pathway influences CTRD risk. This study was undertaken to assess the association between inherited (i.e., case and maternal gene-gene interactions in this pathway and the risk of CTRD. Case-parent triads (n=727, ascertained from the Children's Hospital of Philadelphia, were genotyped for ten functional variants of nine folate metabolic genes. Analyses of inherited genotypes were consistent with the previously reported association between MTHFR A1298C and CTRD (adjusted P=.02, but provided no evidence that CTRD was associated with inherited gene-gene interactions. Analyses of the maternal genotypes provided evidence of a MTHFR C677T/CBS 844ins68 interaction and CTRD risk (unadjusted P=.02. This association is consistent with the effects of this genotype combination on folate-homocysteine biochemistry but remains to be confirmed in independent study populations.

  13. Lower-normal TSH is associated with better metabolic risk factors: a cross-sectional study on spanish men

    Science.gov (United States)

    Background and aims: Subclinical thyroid conditions, defined by normal thyroxin (T4) but abnormal thyroid-stimulating hormone (TSH) levels, may be associated with cardiovascular and metabolic risk. More recently, TSH levels within the normal range have been suggested to be associated with metabolic ...

  14. A Prospective Study of Dairy Consumption in Relation to Changes in Metabolic Risk Factors: The Hoorn Study

    NARCIS (Netherlands)

    Snijder, M.B.; Dam, van R.M.; Stehouwer, C.D.A.; Hiddink, G.J.; Heine, R.J.; Dekker, J.M.

    2008-01-01

    Objective: Higher dairy consumption has been suggested to reduce the risk of obesity and metabolic disturbances. The aim of our study was to investigate the prospective association between dairy consumption and changes in weight and metabolic disturbances. Methods and Procedures: Baseline dairy

  15. [Hypertriglyceridemic waist phenotype: associated factors and comparison with other cardiovascular and metabolic risk indicators in the ELSA-Brasil study].

    Science.gov (United States)

    Freitas, Roberta Souza; Fonseca, Maria de Jesus Mendes da; Schmidt, Maria Inês; Molina, Maria Del Carmen Bisi; Almeida, Maria da Conceição Chagas de

    2018-03-29

    This study's objectives were to estimate the prevalence of hypertriglyceridemic waist (HTW) phenotype in participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), identify associated risk factors, and compare with other cardiovascular and metabolic risk indicators. This was a cross-sectional study with baseline data from a cohort of public employees. HTW is defined as the simultaneous presence of increased waist circumference (WC) (≥ 80cm for women, ≥ 90cm for men according to the International Diabetes Federation - IDF; and ≥ 88cm for women, ≥ 102cm for men according to the U.S. National Cholesterol Education Program - NCEP) and hypertriglyceridemia. Associations between independent variables and HTW were tested with multivariate logistic regression models. HTW was also compared to other cardiovascular and metabolic risk indicators by means of correlation tests, kappa index, sensitivity, and specificity. After exclusions, 12,811 participants were analyzed. Prevalence of HTW ranged from 24.7% (IDF) to 13.3% (NCEP). HTW was associated with age, excessive alcohol consumption, former smoking, low HDL, non-high HDL, and increased C-reactive protein, independently of gender or the criterion used to define HTW. HTW was associated with cardiovascular risk indicators, especially metabolic syndrome. The high prevalence of HTW and its association with cardiovascular risk indicators, especially metabolic syndrome, supports its use as a cardiometabolic risk screening tool in clinical practice.

  16. Cardiorespiratory fitness, cardiovascular workload and risk factors among cleaners; a cluster randomized worksite intervention

    DEFF Research Database (Denmark)

    Korshøj, Mette; Krustrup, Peter; Jørgensen, Marie Birk

    2012-01-01

    . The clusters will be balanced on the following criteria: Geographical work location, gender, age and seniority. Cleaners are randomized to either I) a reference group, receiving lectures concerning healthy living, or II) an intervention group, performing worksite aerobic exercise. Data collection......ABSTRACT: BACKGROUND: Prevalence of cardiovascular risk factors is unevenly distributed among occupational groups. The working environment, as well as lifestyle and socioeconomic status contribute to the disparity and variation in prevalence of these risk factors. High physical work demands have...... been shown to increase the risk for cardiovascular disease and mortality, contrary to leisure time physical activity. High physical work demands in combination with a low cardiorespiratory fitness infer a high relative workload and an excessive risk for cardiovascular mortality. Therefore, the aim...

  17. Prevalence of Risk Factors for the Metabolic Syndrome in the Middle Income Caribbean Nation of St. Lucia

    Directory of Open Access Journals (Sweden)

    Colleen O’Brien Cherry

    2014-01-01

    Full Text Available The objective of this research was to measure the presence of metabolic syndrome risk factors in a sample population in the middle income Caribbean nation of St. Lucia and to identify the demographic and behavioral factors of metabolic syndrome among the study participants. Interviews and anthropometric measures were conducted with 499 St. Lucians of ages 18–99. Descriptive statistics were used for the analysis. Fifty-six percent of females and 18 percent of males had a waist size equal to or above the indicator for the metabolic syndrome. Behavioral risk factors such as sedentary lifestyle, smoking, and alcohol consumption varied by gender. Thirty-six percent of women and 22% of men reported a sedentary lifestyle and 43% of women and 65% of men reported any alcohol consumption. More research should be done to determine the cultural norms and gender differences associated with modifiable risk behaviors in St. Lucia.

  18. Metabolic profile and cardiovascular risk factors in adult patients with congenital adrenal hyperplasia due to 21-hydroxylase deficiency

    Directory of Open Access Journals (Sweden)

    Mouna Feki Mnif

    2012-01-01

    Full Text Available Background: In congenital adrenal hyperplasia (CAH, long-term glucocorticoid treatment coupled with increased androgens may lead to undesirable metabolic effects. The aim of our report was to determine the prevalence of metabolic abnormalities and cardiovascular risk factors in a population of adult patients with CAH due to 21 hydroxylase deficiency. Materials and Methods: Twenty-six patients (11 males and 15 females, mean age ± SD=27.4±8.2 years were recruited. Anthropometry, body composition, metabolic parameters and cardiovascular risk factors were studied. Results: Obesity (overweight included was noted in 16 patients (61.5%, with android distribution in all cases. Bioelectrical impedance showed increased body fat mass in 12 patients (46.1%. Lipid profile alterations and carbohydrate metabolism disorders were detected in seven (26.9% and five (19.2% patients respectively. Moderate hepatic cytolysis, associated with hepatic steatosis, was found in one patient. Seven patients (27% had insulin resistance. Ambulatory blood pressure monitoring showed abnormalities in six patients (23%. Increased carotid intima media thickness was found in 14 patients (53.8%. Conclusion: Adult CAH patients tend to have altered metabolic parameters and a higher prevalence of cardiovascular risk factors. Lifelong follow-up, lifestyle modifications, and attempts to adjust and reduce the glucocorticoid doses seem important.

  19. A Metabolic Gene Cluster in the Wheat W1 and the Barley Cer-cqu Loci Determines β-Diketone Biosynthesis and Glaucousness.

    Science.gov (United States)

    Hen-Avivi, Shelly; Savin, Orna; Racovita, Radu C; Lee, Wing-Sham; Adamski, Nikolai M; Malitsky, Sergey; Almekias-Siegl, Efrat; Levy, Matan; Vautrin, Sonia; Bergès, Hélène; Friedlander, Gilgi; Kartvelishvily, Elena; Ben-Zvi, Gil; Alkan, Noam; Uauy, Cristobal; Kanyuka, Kostya; Jetter, Reinhard; Distelfeld, Assaf; Aharoni, Asaph

    2016-06-01

    The glaucous appearance of wheat (Triticum aestivum) and barley (Hordeum vulgare) plants, that is the light bluish-gray look of flag leaf, stem, and spike surfaces, results from deposition of cuticular β-diketone wax on their surfaces; this phenotype is associated with high yield, especially under drought conditions. Despite extensive genetic and biochemical characterization, the molecular genetic basis underlying the biosynthesis of β-diketones remains unclear. Here, we discovered that the wheat W1 locus contains a metabolic gene cluster mediating β-diketone biosynthesis. The cluster comprises genes encoding proteins of several families including type-III polyketide synthases, hydrolases, and cytochrome P450s related to known fatty acid hydroxylases. The cluster region was identified in both genetic and physical maps of glaucous and glossy tetraploid wheat, demonstrating entirely different haplotypes in these accessions. Complementary evidence obtained through gene silencing in planta and heterologous expression in bacteria supports a model for a β-diketone biosynthesis pathway involving members of these three protein families. Mutations in homologous genes were identified in the barley eceriferum mutants defective in β-diketone biosynthesis, demonstrating a gene cluster also in the β-diketone biosynthesis Cer-cqu locus in barley. Hence, our findings open new opportunities to breed major cereal crops for surface features that impact yield and stress response. © 2016 American Society of Plant Biologists. All rights reserved.

  20. A combined continuous and interval aerobic training improves metabolic syndrome risk factors in men

    Directory of Open Access Journals (Sweden)

    Sari-Sarraf V

    2015-05-01

    Full Text Available Vahid Sari-Sarraf,1 Akbar Aliasgarzadeh,2 Mohammad-Mahdi Naderali,3 Hamid Esmaeili,1 Ebrahim K Naderali4 1Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, University of Tabriz, 2Bone Research Centre, Endocrine Unit, Department of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran; 3The School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, 4Faculty of Science, Liverpool Hope University, Liverpool, UK Abstract: Individuals with metabolic syndrome have significantly higher risk of cardiovascular disease and type 2 diabetes leading to premature death mortality. Metabolic syndrome has a complex etiology; thus, it may require a combined and multi-targeted aerobic exercise regimen to improve risk factors associated with it. Therefore, the aim of this study was to evaluate the effect of combined continuous and interval aerobic training on patients with metabolic syndrome. Thirty adult male with metabolic syndrome (54±8 years were randomly divided into two groups: test training group (TTG; n=15 and control group (CG; n=15. Subjects in TTG performed combined continuous and interval aerobic training using a motorized treadmill three times per week for 16 weeks. Subjects in CG were advised to continue with their normal activities of life. Twenty-two men completed the study (eleven men in each group. At the end of the study, in TTG, there were significant (for all, P<0.05 reductions in total body weight (-3.2%, waist circumference (-3.43 cm, blood pressure (up to -12.7 mmHg, and plasma insulin, glucose, and triacylglyceride levels. Moreover, there were significant (for all, P<0.05 increases VO2max (-15.3% and isometric strength of thigh muscle (28.1% and high-density lipoprotein in TTG. None of the above indices were changed in CG at the end of 16-week study period. Our study suggests that adoption of a 16-week combined continuous and interval aerobic training regimen in men

  1. Beneficial effect of pistachio consumption on glucose metabolism, insulin resistance, inflammation, and related metabolic risk markers: a randomized clinical trial.

    Science.gov (United States)

    Hernández-Alonso, Pablo; Salas-Salvadó, Jordi; Baldrich-Mora, Mònica; Juanola-Falgarona, Martí; Bulló, Mònica

    2014-11-01

    To examine whether a pistachio-rich diet reduces the prediabetes stage and improves its metabolic risk profile. Prediabetic subjects were recruited to participate in this Spanish randomized clinical trial between 20 September 2011 and 4 February 2013. In a crossover manner, 54 subjects consumed two diets, each for 4 months: a pistachio-supplemented diet (PD) and a control diet (CD). A 2-week washout period separated study periods. Diets were isocaloric and matched for protein, fiber, and saturated fatty acids. A total of 55% of the CD calories came from carbohydrates and 30% from fat, whereas for the PD, these percentages were 50 and 35%, respectively (including 57 g/day of pistachios). Fasting glucose, insulin, and HOMA of insulin resistance decreased significantly after the PD compared with the CD. Other cardiometabolic risk markers such as fibrinogen, oxidized LDL, and platelet factor 4 significantly decreased under the PD compared with the CD (P pistachio intervention (P pistachio consumption is emerging as a useful nutritional strategy for the prediabetic state. Data suggest that pistachios have a glucose- and insulin-lowering effect, promote a healthier metabolic profile, and reverse certain metabolic deleterious consequences of prediabetes. © 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

  2. Metabolic syndrome, diabetes and atherosclerosis: Influence of gene-environment interaction

    Energy Technology Data Exchange (ETDEWEB)

    Andreassi, Maria Grazia, E-mail: andreas@ifc.cnr.it [CNR Institute of Clinical Physiology, G. Pasquinucci Hospital, Via Aurelia Sud, Massa (Italy)

    2009-07-10

    Despite remarkable progress in diagnosis and understanding of risk factors, cardiovascular disease (CVD) remains still the leading cause of morbidity and mortality in the world's developed countries. The metabolic syndrome, a cluster of risk factors (visceral obesity, insulin resistance, dyslipidaemia, and hypertension), is increasingly being recognized as a new risk factor for type 2 diabetes and atherosclerotic cardiovascular disease. Nevertheless, there is wide variation in both the occurrence of disease and age of onset, even in individuals who display very similar risk profiles. There is now compelling evidence that a complex interplay between genetic determinants and environmental factors (still largely unknown) is the reason for this large inter-individual variation in disease susceptibility. The purpose of the present review is to describe the current status of our knowledge concerning the gene-environment interactions potentially implicated in the pathogenesis of metabolic syndrome, diabetes and cardiovascular disease. It focuses predominantly on studies of genes (peroxisome proliferator-activated receptor-gamma, alcohol dehydrogenase type 1C, apolipoprotein E, glutathione S-transferases T1 and M1) that are known to be modified by dietary and lifestyle habits (fat diet, intake of alcohol and smoking habit). It also describes the limited current understanding of the role of genetic variants of xenobiotic metabolizing enzymes and their interactions with environmental toxicants. Additional studies are needed in order to clarify whether inter-individual differences in detoxification of environmental toxicants may have an essential role in the development of CVD and contribute to the emerging field of 'environmental cardiology'. Such knowledge may be particularly relevant for improving cardiovascular risk stratification and conceiving the development of 'personalized intervention program'.

  3. Metabolic syndrome, diabetes and atherosclerosis: Influence of gene-environment interaction

    International Nuclear Information System (INIS)

    Andreassi, Maria Grazia

    2009-01-01

    Despite remarkable progress in diagnosis and understanding of risk factors, cardiovascular disease (CVD) remains still the leading cause of morbidity and mortality in the world's developed countries. The metabolic syndrome, a cluster of risk factors (visceral obesity, insulin resistance, dyslipidaemia, and hypertension), is increasingly being recognized as a new risk factor for type 2 diabetes and atherosclerotic cardiovascular disease. Nevertheless, there is wide variation in both the occurrence of disease and age of onset, even in individuals who display very similar risk profiles. There is now compelling evidence that a complex interplay between genetic determinants and environmental factors (still largely unknown) is the reason for this large inter-individual variation in disease susceptibility. The purpose of the present review is to describe the current status of our knowledge concerning the gene-environment interactions potentially implicated in the pathogenesis of metabolic syndrome, diabetes and cardiovascular disease. It focuses predominantly on studies of genes (peroxisome proliferator-activated receptor-gamma, alcohol dehydrogenase type 1C, apolipoprotein E, glutathione S-transferases T1 and M1) that are known to be modified by dietary and lifestyle habits (fat diet, intake of alcohol and smoking habit). It also describes the limited current understanding of the role of genetic variants of xenobiotic metabolizing enzymes and their interactions with environmental toxicants. Additional studies are needed in order to clarify whether inter-individual differences in detoxification of environmental toxicants may have an essential role in the development of CVD and contribute to the emerging field of 'environmental cardiology'. Such knowledge may be particularly relevant for improving cardiovascular risk stratification and conceiving the development of 'personalized intervention program'.

  4. Prevalence and Predictors of Metabolic Syndrome in Young Asymptomatic Gujarati Population

    Directory of Open Access Journals (Sweden)

    Sharad R. Jain

    2015-01-01

    Full Text Available Background. Metabolic syndrome is a cluster of risk factors leading to the development of atherosclerotic cardiovascular diseases. We aimed to evaluate the prevalence of metabolic syndrome (MS and its predictors in young and apparently healthy Gujarati individuals. Methods. This population based cross-sectional study involved a total of 1500 healthy adults of 20–40 years of age. Demographic details and clinical data such as body mass index (BMI, waist circumference (WC, and blood pressure were measured along with the estimations of lipoprotein (a, total cholesterol (TC, triglyceride (TG, total lipid, LDL/HDL ratio, TC/HDL ratio, and fasting blood glucose (FBS. Results. Overall in young Gujarati population (20–40 years prevalence rates of MS were 16.0% (male: 21.5%; female: 10.8% where the metabolic abnormalities increased with advanced age as 9.56% of the young population (20–30 years had MS, in contrast to the 24.57% in the old (31–40 years. Odds ratio analysis had indicated BMI (1.120; 95% CI: 1.077–1.163; P<0.0001 as the strongest risk factor for MS closely followed by advancing age (1.100; 95% CI: 1.061–1.139; P<0.0001 levels. Conclusion. Prevalence of metabolic syndrome in young Gujarati population reinforces the need for early life style intervention and awareness programs in this ethnic group.

  5. Clustering of modifiable biobehavioral risk factors for chronic disease in US adults: a latent class analysis.

    Science.gov (United States)

    Leventhal, Adam M; Huh, Jimi; Dunton, Genevieve F

    2014-11-01

    Examining the co-occurrence patterns of modifiable biobehavioral risk factors for deadly chronic diseases (e.g. cancer, cardiovascular disease, diabetes) can elucidate the etiology of risk factors and guide disease-prevention programming. The aims of this study were to (1) identify latent classes based on the clustering of five key biobehavioral risk factors among US adults who reported at least one risk factor and (2) explore the demographic correlates of the identified latent classes. Participants were respondents of the National Epidemiologic Survey of Alcohol and Related Conditions (2004-2005) with at least one of the following disease risk factors in the past year (N = 22,789), which were also the latent class indicators: (1) alcohol abuse/dependence, (2) drug abuse/dependence, (3) nicotine dependence, (4) obesity, and (5) physical inactivity. Housing sample units were selected to match the US National Census in location and demographic characteristics, with young adults oversampled. Participants were administered surveys by trained interviewers. Five latent classes were yielded: 'obese, active non-substance abusers' (23%); 'nicotine-dependent, active, and non-obese' (19%); 'active, non-obese alcohol abusers' (6%); 'inactive, non-substance abusers' (50%); and 'active, polysubstance abusers' (3.7%). Four classes were characterized by a 100% likelihood of having one risk factor coupled with a low or moderate likelihood of having the other four risk factors. The five classes exhibited unique demographic profiles. Risk factors may cluster together in a non-monotonic fashion, with the majority of the at-risk population of US adults expected to have a high likelihood of endorsing only one of these five risk factors. © Royal Society for Public Health 2013.

  6. Body composition and risk for metabolic alterations in female adolescents

    Directory of Open Access Journals (Sweden)

    Eliane Rodrigues de Faria

    2014-06-01

    Full Text Available OBJECTIVE: To study anthropometrical and body composition variables as predictors of risk for metabolic alterations and metabolic syndrome in female adolescents.METHODS: Biochemical, clinical and corporal composition data of 100 adolescents from 14 to 17 years old, who attended public schools in Viçosa, Southeastern Brazil, were collected.RESULTS: Regarding nutritional status, 83, 11 and 6% showed eutrophia, overweight/obesity and low weight, respectively, and 61% presented high body fat percent. Total cholesterol presented the highest percentage of inadequacy (57%, followed by high-density lipoprotein (HDL - 50%, low-density lipoprotein (LDL - 47% and triacylglycerol (22%. Inadequacy was observed in 11, 9, 3 and 4% in relation to insulin resistance, fasting insulin, blood pressure and glycemia, respectively. The highest values of the fasting insulin and the Homeostasis Model Assessment-Insulin Resistance(HOMA-IR were verified at the highest quartiles of body mass index (BMI, waist perimeter, waist-to-height ratio and body fat percent. Body mass index, waist perimeter, and waist-to-height ratio were the better predictors for high levels of HOMA-IR, blood glucose and fasting insulin. Waist-to-hip ratio was associated to arterial hypertension diagnosis. All body composition variables were effective in metabolic syndrome diagnosis.CONCLUSIONS: Waist perimeter, BMI and waist-to-height ratio showed to be good predictors for metabolic alterations in female adolescents and then should be used together for the nutritional assessment in this age range.

  7. The association of posttraumatic stress disorder and metabolic syndrome: a study of increased health risk in veterans

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    Hauger Richard L

    2009-01-01

    Full Text Available Abstract Background There is accumulating evidence for a link between trauma exposure, posttraumatic stress disorder (PTSD and diminished health status. To assess PTSD-related biological burden, we measured biological factors that comprise metabolic syndrome, an important established predictor of morbidity and mortality, as a correlate of long-term health risk in PTSD. Methods We analyzed clinical data from 253 male and female veterans, corresponding to five factors linked to metabolic syndrome (systolic and diastolic blood pressure, waist-to-hip ratio and fasting measures of high-density lipoprotein (HDL cholesterol, serum triglycerides and plasma glucose concentration. Clinical cut-offs were defined for each biological parameter based on recommendations from the World Health Organization and the National Cholesterol Education Program. Controlling for relevant variables including sociodemographic variables, alcohol/substance/nicotine use and depression, we examined the impact of PTSD on metabolic syndrome using a logistic regression model. Results Two-fifths (40% of the sample met criteria for metabolic syndrome. Of those with PTSD (n = 139, 43% met criteria for metabolic syndrome. The model predicted metabolic syndrome well (-2 log likelihood = 316.650, chi-squared = 23.731, p = 0.005. Veterans with higher severity of PTSD were more likely to meet diagnostic criteria for metabolic syndrome (Wald = 4.76, p = 0.03. Conclusion These findings provide preliminary evidence linking higher severity of PTSD with risk factors for diminished health and increased morbidity, as represented by metabolic syndrome.

  8. Association between yogurt consumption, dietary patterns, and cardio-metabolic risk factors.

    Science.gov (United States)

    Cormier, Hubert; Thifault, Élisabeth; Garneau, Véronique; Tremblay, Angelo; Drapeau, Vicky; Pérusse, Louis; Vohl, Marie-Claude

    2016-03-01

    To examine whether yogurt consumption is associated with a healthier dietary pattern and with a better cardio-metabolic risk profile among healthy individuals classified on the basis of their body mass index (BMI). A 91-item food frequency questionnaire, including data on yogurt consumption, was administered to 664 subjects from the INFOGENE study. After principal component analysis, two factors were retained, thus classified as the Prudent and Western dietary patterns. Yogurt was a significant contributor to the Prudent dietary pattern. Moreover, yogurt consumption was associated with lower body weight, waist-to-hip ratio, and waist circumference and tended to be associated with a lower BMI. Consumers had lower levels of fasting total cholesterol and insulin. Consumers of yogurt had a positive Prudent dietary pattern mean score, while the opposite trend was observed in non-consumers of yogurt. Overweight/obese individuals who were consumers of yogurts exhibited a more favorable cardio-metabolic profile characterized by lower plasma triglyceride and insulin levels than non-consumers within the same range of BMI. There was no difference in total yogurt consumption between normal-weight individuals and overweight/obese individuals. However, normal-weight subjects had more daily servings of high-fat yogurt and less daily servings of fat-free yogurt compared to overweight/obese individuals. Being a significant contributor to the Prudent dietary pattern, yogurt consumption may be associated with healthy eating. Also, yogurt consumption may be associated with lower anthropometric indicators and a more beneficial cardio-metabolic risk profile in overweight/obese individuals.

  9. Detection of metabolic syndrome features among childhood cancer survivors: A target to prevent disease

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    Adriana Aparecida Siviero-Miachon

    2008-08-01

    Full Text Available Adriana Aparecida Siviero-Miachon1, Angela Maria Spinola-Castro1, Gil Guerra-Junior21Division of Pediatric Endocrinology, Department of Pediatrics, Federal University of Sao Paulo – UNIFESP/EPM, Brazil; 2Division of Pediatric Endocrinology, Department of Pediatrics, State University of Campinas – FCM/UNICAMP, BrazilAbstract: Along with the growing epidemic of obesity, the risk of atherosclerosis, cardiovascular disease morbidity, and mortality are increasing markedly. Several risk factors for cardiovascular disease, such as visceral obesity, glucose intolerance, arterial hypertension, and dyslipidemia commonly cluster together as a condition currently known as metabolic syndrome. Thus far, insulin resistance, and endothelial dysfunction are the primary events of the metabolic syndrome. Several groups have recommended clinical criteria for the diagnosis of metabolic syndrome in adults. Nonetheless, in what concerns children and adolescents, there are no unified definitions, and modified adult criteria have been suggested by many authors, despite major problems. Some pediatric disease states are at risk for premature cardiovascular disease, with clinical coronary events occurring very early in adult life. Survivors of specific pediatric cancer groups, particularly acute lymphocytic leukemia, central nervous system tumors, sarcomas, lymphomas, testicular cancer, and following bone marrow transplantation, may develop metabolic syndrome traits due to: hormonal deficiencies (growth hormone deficiency, thyroid dysfunction, and gonadal failure, drug or radiotherapy damage, endothelial impairment, physical inactivity, adipose tissue dysfunction, and/or drug-induced magnesium deficiency. In conclusion, some primary and secondary prevention remarks are proposed in order to reduce premature cardiovascular disease risk in this particular group of patients.Keywords: metabolic syndrome X, cardiovascular diseases, insulin resistance, obesity, growth hormone

  10. A computational linguistic measure of clustering behavior on semantic verbal fluency task predicts risk of future dementia in the nun study.

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    Pakhomov, Serguei V S; Hemmy, Laura S

    2014-06-01

    Generative semantic verbal fluency (SVF) tests show early and disproportionate decline relative to other abilities in individuals developing Alzheimer's disease. Optimal performance on SVF tests depends on the efficiency of using clustered organization of semantically related items and the ability to switch between clusters. Traditional approaches to clustering and switching have relied on manual determination of clusters. We evaluated a novel automated computational linguistic approach for quantifying clustering behavior. Our approach is based on Latent Semantic Analysis (LSA) for computing strength of semantic relatedness between pairs of words produced in response to SVF test. The mean size of semantic clusters (MCS) and semantic chains (MChS) are calculated based on pairwise relatedness values between words. We evaluated the predictive validity of these measures on a set of 239 participants in the Nun Study, a longitudinal study of aging. All were cognitively intact at baseline assessment, measured with the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) battery, and were followed in 18-month waves for up to 20 years. The onset of either dementia or memory impairment were used as outcomes in Cox proportional hazards models adjusted for age and education and censored at follow-up waves 5 (6.3 years) and 13 (16.96 years). Higher MCS was associated with 38% reduction in dementia risk at wave 5 and 26% reduction at wave 13, but not with the onset of memory impairment. Higher [+1 standard deviation (SD)] MChS was associated with 39% dementia risk reduction at wave 5 but not wave 13, and association with memory impairment was not significant. Higher traditional SVF scores were associated with 22-29% memory impairment and 35-40% dementia risk reduction. SVF scores were not correlated with either MCS or MChS. Our study suggests that an automated approach to measuring clustering behavior can be used to estimate dementia risk in cognitively normal

  11. The insulin-like growth factor I system: physiological and pathophysiological implication in cardiovascular diseases associated with metabolic syndrome.

    Science.gov (United States)

    Ren, Jun; Anversa, Piero

    2015-02-15

    Metabolic syndrome is a cluster of risk factors including obesity, dyslipidemia, hypertension, and insulin resistance. A number of theories have been speculated for the pathogenesis of metabolic syndrome including impaired glucose and lipid metabolism, lipotoxicity, oxidative stress, interrupted neurohormonal regulation and compromised intracellular Ca(2+) handling. Recent evidence has revealed that adults with severe growth hormone (GH) and insulin-like growth factor I (IGF-1) deficiency such as Laron syndrome display increased risk of stroke and cardiovascular diseases. IGF-1 signaling may regulate contractility, metabolism, hypertrophy, apoptosis, autophagy, stem cell regeneration and senescence in the heart to maintain cardiac homeostasis. An inverse relationship between plasma IGF-1 levels and prevalence of metabolic syndrome as well as associated cardiovascular complications has been identified, suggesting the clinical promises of IGF-1 analogues or IGF-1 receptor activation in the management of metabolic and cardiovascular diseases. However, the underlying pathophysiological mechanisms between IGF-1 and metabolic syndrome are still poorly understood. This mini-review will discuss the role of IGF-1 signaling cascade in the prevalence of metabolic syndrome in particular the susceptibility to overnutrition and sedentary life style-induced obesity, dyslipidemia, insulin resistance and other features of metabolic syndrome. Special attention will be dedicated in IGF-1-associated changes in cardiac responses in various metabolic syndrome components such as insulin resistance, obesity, hypertension and dyslipidemia. The potential risk of IGF-1 and IGF-1R stimulation such as tumorigenesis is discussed. Therapeutic promises of IGF-1 and IGF-1 analogues including mecasermin, mecasermin rinfabate and PEGylated IGF-1 will be discussed. Copyright © 2014 Elsevier Inc. All rights reserved.

  12. Toxic-Metabolic Risk Factors in Pediatric Pancreatitis: Recommendations for Diagnosis, Management and Future Research

    Science.gov (United States)

    Husain, Sohail Z.; Morinville, Veronique; Pohl, John; Abu-El-Haija, Maisam; Bellin, Melena D.; Freedman, Steve; Hegyi, Peter; Heyman, Melvin B; Himes, Ryan; Ooi, Chee Y.; Schwarzenberg, Sarah Jane; Usatin, Danielle; Uc, Aliye

    2016-01-01

    Objectives Pancreatitis in children can result from metabolic and toxic risk factors, but the evidence linking these factors is sparse. We review the evidence for association or causality of these risk factors in pancreatitis, discuss management strategies and their rationale. Methods We conducted a review of the pediatric pancreatitis literature with respect to the following risk factors: (a) hyperlipidemia, (b) hypercalcemia, (c) chronic renal failure, (d) smoking exposure, (e) alcohol, and (f) medications. Areas of additional research were identified. Results Hypertriglyceridemia of 1000 mg/dl or greater poses an absolute risk for pancreatitis; persistent elevations of calcium are predisposing. Further research is necessary to determine whether end stage renal disease leads to increased pancreatitis in children similar to adults. It is unknown whether cigarette smoking exposure, which clearly increases risk in adults, also increases risk in children. The role of alcohol in pediatric pancreatitis, whether direct or modifying, needs to be elucidated. The evidence supporting most cases of medication-induced pancreatitis is poor. Drug structure, improper handling of drug by host, and by-stander status may be implicated. Other pancreatitis risk factors must be sought in all cases. Conclusions The quality of evidence supporting causative role of various toxic and metabolic factors in pediatric pancreatitis is variable. Careful phenotyping is essential, including search for other etiologic risk factors. Directed therapy includes correction/ removal of any agent identified, and general supportive measures. Further research is necessary to improve our understanding of these pancreatitis risk factors in children. PMID:26594832

  13. Genetic Variants of Homocysteine Metabolizing Enzymes and the Risk of Coronary Artery Disease

    Czech Academy of Sciences Publication Activity Database

    Janošíková, B.; Pavlíková, Markéta; Kocmanová, Dora; Vítová, D.; Veselá, K.; Krupková, L.; Kahleová, R.; Krijt, J.; Kraml, P.; Hyánek, J.; Zvárová, Jana; Anděl, M.; Kožich, V.

    2003-01-01

    Roč. 79, - (2003), s. 167-175 ISSN 1096-7192 R&D Projects: GA MZd NM26; GA MZd NM6548 Keywords : coronary disease * risk factors * genes * homocysteine * metabolism Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 2.038, year: 2003

  14. Prevalence of cardiometabolic risk factors and metabolic syndrome in obese Kuwaiti adolescents

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    Boodai SA

    2014-10-01

    Full Text Available Shurooq A Boodai,1 Lynne M Cherry,2 Naveed A Sattar,2 John J Reilly3 1University of Glasgow School of Medicine, Yorkhill Hospitals, Glasgow, Scotland; 2Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland; 3University of Strathclyde Physical Activity for Health Group, School of Psychological Sciences and Health, Glasgow, Scotland Background: Childhood and adolescent obesity is associated with insulin resistance, abnormal glucose metabolism, hypertension, dyslipidemia, inflammation, liver disease, and compromised vascular function. The purpose of this pilot study was to determine the prevalence of cardiometabolic risk factor abnormalities and metabolic syndrome (MetS in a sample of obese Kuwaiti adolescents, as prevalence data might be helpful in improving engagement with obesity treatment in future. Methods: Eighty obese Kuwaiti adolescents (40 males with a mean (standard deviation age of 12.3 years (1.1 years participated in the present study. All participants had a detailed clinical examination and anthropometry, blood pressure taken, and assessment of fasting levels of C-reactive protein, intracellular adhesion molecule, interleukin-6, fasting blood glucose, insulin, liver function tests (alanine aminotransferase, aspartate aminotransferase, gamma glutamyltransferase, lipid profile (cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, insulin resistance by homeostasis model assessment, and adiponectin. MetS was assessed using two recognized criteria modified for use in younger individuals. Results: The cardiometabolic risk factors with highest prevalence of abnormal values included aspartate aminotransferase (88.7% of the sample and insulin resistance by homeostasis model assessment (67.5%, intracellular adhesion molecule (66.5%, fasting insulin (43.5%, C-reactive protein (42.5%, low

  15. The number of metabolic abnormalities associated with the risk of gallstones in a non-diabetic population.

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    Chung-Hung Tsai

    Full Text Available AIM: To evaluate whether metabolic syndrome is associated with gallstones, independent of hepatitis C infection or chronic kidney disease (CKD, in a non-diabetic population. MATERIALS AND METHODS: A total of 8,188 Chinese adult participants that underwent a self-motivated health examination were recruited into the final analysis after excluding the subjects who had a history of cholecystectomy, diabetes mellitus, or were currently using antihypertensive or lipid-lowering agents. Gallstones were defined by the presence of strong intraluminal echoes that were gravity-dependent or that attenuated ultrasound transmission. RESULTS: A total of 447 subjects (5.5% had gallstones, with 239 (5.1% men and 208 (6.0% women. After adjusting for age, gender, obesity, education level, and lifestyle factors, included current smoking, alcohol drinking, regular exercise, hepatitis B, hepatitis C, and CKD, there was a positive association between metabolic syndrome and gallstones. Moreover, as compared to subjects without metabolic abnormalities, subjects with one, two, and three or more suffered from a 35, 40, and 59% higher risk of gallstones, respectively. CONCLUSIONS: Non-diabetic subjects with metabolic syndrome had a higher risk of gallstones independent of hepatitis C or CKD, and a dose-dependent effect of metabolic abnormalities also exists.

  16. Management of metabolic syndrome through probiotic and prebiotic interventions

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    Rashmi H Mallappa

    2012-01-01

    Full Text Available Metabolic syndrome is a complex disorder caused by a cluster of interrelated factors that increases the risk of cardiovascular diseases and type 2 diabetes. Obesity is the main precursor for metabolic syndrome that can be targeted in developing various therapies. With this view, several physical, psychological, pharmaceutical and dietary therapies have been proposed for the management of obesity. However, dietary strategies found more appropriate without any adverse health effects. Application of probiotics and prebiotics as biotherapeutics is the new emerging area in developing dietary strategies and many people are interested in learning the facts behind these health claims. Recent studies established the role of probiotics and prebiotics in weight management with possible mechanisms of improved microbial balance, decreased food intake, decreased abdominal adiposity and increased mucosal integrity with decreased inflammatory tone. Hence, the above "Pharmaco-nutritional" approach has been selected and extensively reviewed to gain thorough knowledge on putative mechanisms of probiotic and prebiotic action in order to develop dietary strategies for the management of metabolic syndrome.

  17. Metabolic Characteristics and Risks Associated with Stone Recurrence in Korean Young Adult Stone Patients.

    Science.gov (United States)

    Kang, Ho Won; Seo, Sung Pil; Kim, Won Tae; Kim, Yong-June; Yun, Seok-Joong; Kim, Wun-Jae; Lee, Sang-Cheol

    2017-08-01

    The aim of this study was to assess the metabolic characteristics and risks of stone recurrence in young adult stone patients in Korea. The medical records of 1532 patients presenting with renal or ureteric stones at our stone clinic between 1994 and 2015 were retrospectively reviewed. Patients were grouped according to age (young adult, 18-29 years; intermediate onset, 30-59 years; old age, ≥60 years) at first presentation, and measurements of clinicometabolic characteristics and risks of stone recurrence were compared. Overall, excretion of urinary stone-forming substances was highest in the intermediate onset group, followed by the young adult and old age groups. Importantly, excretion of urinary citrate was lowest in the young adult group. Kaplan-Meier analyses identified a significant difference between the three age groups in terms of stone recurrence (log rank test, p adult stone patients. Younger age (18-29 years) at first stone presentation was a significant risk factor for stone recurrence, and urinary citrate excretion was an independent risk factor affecting recurrence in this group. Metabolic evaluation and potassium citrate therapy should be considered for young adult stone patients to prevent recurrence.

  18. Impaired Fasting Glucose in Nondiabetic Range: Is It a Marker of Cardiovascular Risk Factor Clustering?

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    Giovanna Valentino

    2015-01-01

    Full Text Available Background. Impaired fasting glucose (IFG through the nondiabetic range (100–125 mg/dL is not considered in the cardiovascular (CV risk profile. Aim. To compare the clustering of CV risk factors (RFs in nondiabetic subjects with normal fasting glucose (NFG and IFG. Material and Methods. Cross-sectional study in 3739 nondiabetic subjects. Demographics, medical history, and CV risk factors were collected and lipid profile, fasting glucose levels (FBG, C-reactive protein (hsCRP, blood pressure (BP, anthropometric measurements, and aerobic capacity were determined. Results. 559 (15% subjects had IFG: they had a higher mean age, BMI, waist circumference, non-HDL cholesterol, BP, and hsCRP (p<0.0001 and lower HDL (p<0.001 and aerobic capacity (p<0.001. They also had a higher prevalence of hypertension (34% versus 25%; p<0.001, dyslipidemia (79% versus 74%; p<0.001, and obesity (29% versus 16%; p<0.001 and a higher Framingham risk score (8% versus 6%; p<0.001. The probability of presenting 3 or more CV RFs adjusted by age and gender was significantly higher in the top quintile of fasting glucose (≥98 mg/dL; OR = 2.02; 1.62–2.51. Conclusions. IFG in the nondiabetic range is associated with increased cardiovascular RF clustering.

  19. Metabolic risk factors in pediatric stone formers: a report from an emerging economy.

    Science.gov (United States)

    Imran, Kiran; Zafar, Mirza Naqi; Ozair, Uzma; Khan, Sadia; Rizvi, Syed Adibul Hasan

    2017-08-01

    The goal of this study was to investigate metabolic risk factors in pediatric stone formers in an emerging economy. A prospective, data collection enrolled 250 children age ammonia and oxalate in urine. All reported values were two sided and statistical significance was considered at p value ≤0.05. The mean age at diagnosis was 7.50 ± 3.56 years with a male to female ratio of 1.84:1. A family history of urolithiasis was found in 41 (16.4 %), urinary tract infection in 18 (7 %) and chronic diarrhea in 75 (30 %). Hypercalcemia was seen in 37 (14.8 %), hyperuricemia in 23 (9.2 %) and hyperphosphatemia in 6 (2.4 %). Urinary metabolic abnormalities were identified in 248 (98 %) of the cases. Hypocitraturia was found in 207 (82.8 %), hyperoxaluria in 62 (26.4 %), hyperuricosuria in 82 (32.8 %), hypercalciuria in 51 (20.4 %), hyperphosphaturia in 46 (18.4 %), hyperammonuria in 10 (4 %), hypocalciuria in 82 (32.8 %), and hypovolemia in 73 (29.2 %). Risk factors were similar between genders except higher rates of hyponatriuria, hypophosphaturia, and hypocalciuria in females. Hyperuricosuria, hyponatriuria, and hypovolemia were highest in 1-5 years (52, 49, 49 %) as compared to (18, 21, 12 %) those in 11-15 years (p < 0.001), respectively. This study shows that careful metabolic analysis can identify risk factors in 98 % of the children where appropriate metaphylaxis can be undertaken both for treatment and prevention of recurrence.

  20. Food consumption and cardiovascular risk factors in European children: the IDEFICS study.

    Science.gov (United States)

    Bel-Serrat, S; Mouratidou, T; Börnhorst, C; Peplies, J; De Henauw, S; Marild, S; Molnár, D; Siani, A; Tornaritis, M; Veidebaum, T; Krogh, V; Moreno, L A

    2013-06-01

    Few studies addressing the relationship between food consumption and cardiovascular disease or metabolic risk have been conducted in children. Previous findings have indicated greater metabolic risk in children with high intakes of solid hydrogenated fat and white bread, and low consumption of fruits, vegetables and dairy products. In a large multinational sample of 2 to 9 years old children, high consumption of sweetened beverages and low intake of nuts and seeds, sweets, breakfast cereals, jam and honey and chocolate and nut-based spreads were directly associated with increased clustered cardiovascular disease risk. These findings add new evidence to the limited literature available in young populations on the role that diet may play on cardiovascular health. To investigate food consumption in relation to clustered cardiovascular disease (CVD) risk. Children (n = 5548, 51.6% boys) from eight European countries participated in the IDEFICS study baseline survey (2007-2008). Z-scores of individual CVD risk factors were summed to compute sex- and age-specific (2-chocolate and nut-based spreads (boys: OR = 0.46; 95% CI = 0.32-0.69; girls: OR = 0.60; 95% CI = 0.42-0.86), jam and honey (girls: OR = 0.45; 95% CI = 0.26-0.78) and sweets (boys: OR = 0.69; 95% CI = 0.48-0.98). OR of being at risk significantly increased with the highest consumption of soft drinks (younger boys) and manufactured juices (older girls). Concerning CVD risk score B, older boys and girls in the highest tertile of consumption of breakfast cereals were 0.41 (95% CI = 0.21-0.79) and 0.45 (95% CI = 0.22-0.93) times, respectively, less likely to be at risk than those in tertile 1. High consumption of sugar-sweetened beverages and low intake of breakfast cereals, jam and honey, sweets and chocolate and nut-based spreads seem to adversely affect clustered CVD risk. © 2012 The Authors. Pediatric Obesity © 2012 International Association for the Study of

  1. Sleep duration and the risk of metabolic syndrome – a cross-sectional study

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    Edyta Suliga

    2017-09-01

    Full Text Available Introduction: It has been stated that besides the traditional elements of lifestyle such as diet and physical activity, an additional factor, namely sleep, is involved in metabolic processes, hormonal functions, and energy homeostasis. Aim of the research: To examine relationships between self-reported sleep duration and the risk of metabolic syndrome (MetS and its components, both for men and women. Material and methods: The study involved 10,367 individuals, aged 37 to 66 years. The definition of MetS applied in this paper was developed by the International Diabetes Federation (IDF. Logistic regression was applied to assess the risk (odds ratio – OR of MetS and its components. Results : There was no relationship observed between short sleep duration (≤ 6 h and the risk of MetS. Long sleep duration (≥ 9 h was connected with a higher risk of MetS only in the unadjusted model (OR = 1.11. After adjusting for confounders, a significant association was found between long sleep duration and a higher risk of abdominal obesity in the test group as a whole (OR = 1.16, as well as in the men in the group (OR = 1.22. In women, both with short (OR = 1.08 and long (OR = 1.12 sleep duration, the risk of increased concentration of glucose was found. Conclusions : Our study did not confirm the existence of an association between inadequate sleep duration and the risk of MetS, defined in accordance with IDF criteria. Sleep duration, however, is connected with some of the MetS components. It is therefore necessary to conduct further, long-term tests in this regard.

  2. Metabolic syndrome in Internal Medicine patients: the pilot NIMEC study (National Internal Medicine Equivalent/Complex C-V-@Risk

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    R. Nardi

    2013-05-01

    Full Text Available BACKGROUND Metabolic Syndrome (MetS, currently defined as slight differences in the criteria of diagnosis – depending on which authority is quoted [i.e.: NCEP-ATP III (National Cholesterol Education Program/Adult Treatment Panel III; WHO (World Health Organization; IDF (International Diabetes Federation; AACE (American Association of Clinical Endocrinologists], designates a cluster of metabolic risk factors that come together in a single individual, leading to cardiovascular disease. MetS is quite common, approximately 20-30% of the population in industrialized countries being affected. However, most of epidemiological data regarding MetS are derived from populations consisting mostly of middle-aged and younger subjects. AIM OF THE STUDY To assess the prevalence of the MetS in Internal Medicine wards and to determine its related comorbidities, including other clinical forms of atherosclerotic disease such as CHD risk equivalents. METHODS Our study was performed in patients admitted in Internal Medicine wards and selected as a randomization list in 12 Emilia Romagna-Marche FADOI centers. 1.316 patients were registered. According to explicit inclusion/exclusion criteria, we studied overall 902 participants (50.6% men, mean of age: 71-73 years. RESULTS According to NCEP-ATP III and IDF criteria the prevalence of MetS was 45.3% (IC 95%: 41.6-49.1 and 38.6% (IC 95%: 34.9-42.3, respectively. Patients with MetS presented a higher significant rate of ALT increase, syncope, atrial fibrillation, COPD, unstable angina, chronic kidney disease, cancer, valvular heart disease, peripheral arterial disease and carotid plaques. A strong association between IDF-MetS and congestive heart failure was observed, suggesting a role of central obesity as an independent risk factor in the elderly. DISCUSSION World-wide populations are becoming older. Aging and MetS are two conditions that represent an important part of health-care spending. Trunkal fatness increases in

  3. Effects of Metformin on the Cerebral Metabolic Changes in Type 2 Diabetic Patients

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    Yung-Cheng Huang

    2014-01-01

    Full Text Available Metformin, a widely used antidiabetic drug, has numerous effects on human metabolism. Based on emerging cellular, animal, and epidemiological studies, we hypothesized that metformin leads to cerebral metabolic changes in diabetic patients. To explore metabolism-influenced foci of brain, we used 2-deoxy-2-[18F]fluoro-D-glucose (FDG positron emission tomography for type 2 diabetic patients taking metformin (MET, n=18, withdrawing from metformin (wdMET, n=13, and not taking metformin (noMET, n=9. Compared with the noMET group, statistical parametric mapping showed that the MET group had clusters with significantly higher metabolism in right temporal, right frontal, and left occipital lobe white matter and lower metabolism in the left parahippocampal gyrus, left fusiform gyrus, and ventromedial prefrontal cortex. In volume of interest (VOI- based group comparisons, the normalized FDG uptake values of both hypermetabolic and hypometabolic clusters were significantly different between groups. The VOI-based correlation analysis across the MET and wdMET groups showed a significant negative correlation between normalized FDG uptake values of hypermetabolic clusters and metformin withdrawal durations and a positive but nonsignificant correlation in the turn of hypometabolic clusters. Conclusively, metformin affects cerebral metabolism in some white matter and semantic memory related sites in patients with type 2 diabetes.

  4. Age and metabolic risk factors associated with oxidatively damaged DNA in human peripheral blood mononuclear cells

    DEFF Research Database (Denmark)

    Løhr, Mille; Jensen, Annie; Eriksen, Louise

    2015-01-01

    Aging is associated with oxidative stress-generated damage to DNA and this could be related to metabolic disturbances. This study investigated the association between levels of oxidatively damaged DNA in peripheral blood mononuclear cells (PBMCs) and metabolic risk factors in 1,019 subjects, aged...... 18-93 years. DNA damage was analyzed as strand breaks by the comet assay and levels of formamidopyrimidine (FPG-) and human 8-oxoguanine DNA glycosylase 1 (hOGG1)-sensitive sites There was an association between age and levels of FPG-sensitive sites for women, but not for men. The same tendency......, cholesterol and glycosylated hemoglobin (HbA1c). In the group of men, there were significant positive associations between alcohol intake, HbA1c and FPG-sensitive sites in multivariate analysis. The levels of metabolic risk factors were positively associated with age, yet only few subjects fulfilled all...

  5. Neurobiology of the metabolic syndrome : An allostatic perspective

    NARCIS (Netherlands)

    van Dijk, Gertjan; Buwalda, Bauke

    2008-01-01

    The metabolic syndrome is a cluster of more or less related metabolic and cardiovascular derangements including visceral obesity, insulin resistance, blood and tissue dislipidemia, high blood pressure and it is often associated with neuroendocrine and immunological dysregulations. The aetiology of

  6. Association between salivary pH and metabolic syndrome in women: a cross-sectional study

    OpenAIRE

    Tremblay, Monique; Brisson, Diane; Gaudet, Daniel

    2012-01-01

    Abstract Background The salivary flow rate is an important determinant of salivary pH. It is influenced by several metabolic syndrome (MetS) components as well as the menopausal status. The cluster of cardiometabolic risk factors that characterizes the MetS could be exacerbated following menopause. The objective of this study was therefore to document the association between salivary pH and MetS expression in women according to the menopausal status. Methods In this cross-sectional study, uns...

  7. Comparison of metabolic syndrome with growing epidemic syndrome Z in terms of risk factors and gender differences.

    Science.gov (United States)

    Uyar, Meral; Davutoğlu, Vedat; Aydın, Neriman; Filiz, Ayten

    2013-05-01

    The aim of this study is to compare metabolic syndrome with syndrome Z growing epidemic in terms of risk factors, demographic variables, and gender differences in our large cohort at southeastern area in Turkey. Data of patients admitted to sleep clinic in University of Gaziantep from January 2006 to January 2011 were retrospectively evaluated. ATP III and JNC 7 were used for defining metabolic syndrome and hypertension. Data of 761 patients were evaluated. Hypertension, diabetes mellitus, coronary artery disease, pulmonary hypertension, and left ventricular hypertrophy were more common in patients with syndrome Z than in patients without metabolic syndrome. Age, waist/neck circumferences, BMI, triglyceride, glucose, and Epworth sleepiness scale score were detected higher, whereas the minimum oxygen saturation during sleep was lower in patients with syndrome Z. Metabolic syndrome was more common in sleep apneic subjects than in controls (58 versus 30 %). Female sleep apneics showed higher rate of metabolic syndrome than those of males (74 versus 52 %). Hypertension, diabetes mellitus, coronary artery disease, and left ventricular hypertrophy were detected higher in males with syndrome Z than in males without metabolic syndrome. Snoring and excessive daytime sleepiness were detected higher in females with syndrome Z than in females without metabolic syndrome. Systemic/pulmonary hypertension, diabetes mellitus, and left ventricular hypertrophy were more common in females with syndrome Z than in females without metabolic syndrome. Complaints of headache and systemic/pulmonary hypertension were more common among females than males with syndrome Z. Female syndrome Z patients had lower minimum oxygen saturation than male patients with syndrome Z. Metabolic syndrome in sleep apneic patients is more prevalent than in controls. All metabolic syndrome parameters were significantly different among obstructive sleep apneic patients with respect to gender with more severe

  8. Polycystic ovarian syndrome (PCOS): Long-term metabolic consequences.

    Science.gov (United States)

    Anagnostis, Panagiotis; Tarlatzis, Basil C; Kauffman, Robert P

    2017-10-10

    Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women during their reproductive ages, associated with a plethora of cardiometabolic consequences, with obesity, insulin resistance and hyperandrogenemia playing a major role in the degree of such manifestations. These consequences include increased risk of glucose intolerance and diabetes mellitus (both type 2 and gestational), atherogenic dyslipidemia, systemic inflammation, non-alcoholic fatty liver disease, hypertension and coagulation disorders. Whether this cluster of metabolic abnormalities is also translated in increased cardiovascular disease (CVD) morbidity and mortality in later life, remains to be established. Data so far based on markers of subclinical atherosclerosis as well as retrospective and prospective cohort studies indicate a possible increased CVD risk, mainly for coronary heart disease. Future studies are needed to further elucidate this issue. Copyright © 2017 Elsevier Inc. All rights reserved.

  9. Metabolic syndrome but not obesity measures are risk factors for accelerated age-related glomerular filtration rate decline in the general population.

    Science.gov (United States)

    Stefansson, Vidar T N; Schei, Jørgen; Solbu, Marit D; Jenssen, Trond G; Melsom, Toralf; Eriksen, Bjørn O

    2018-05-01

    Rapid age-related glomerular filtration rate (GFR) decline increases the risk of end-stage renal disease, and a low GFR increases the risk of mortality and cardiovascular disease. High body mass index and the metabolic syndrome are well-known risk factors for patients with advanced chronic kidney disease, but their role in accelerating age-related GFR decline independent of cardiovascular disease, hypertension and diabetes is not adequately understood. We studied body mass index, waist circumference, waist-hip ratio and metabolic syndrome as risk factors for accelerated GFR decline in 1261 middle-aged people representative of the general population without diabetes, cardiovascular disease or kidney disease. GFR was measured as iohexol clearance at baseline and repeated after a median of 5.6 years. Metabolic syndrome was defined as fulfilling three out of five criteria, based on waist circumference, blood pressure, glucose, high-density lipoprotein cholesterol and triglycerides. The mean GFR decline rate was 0.95 ml/min/year. Neither the body mass index, waist circumference nor waist-hip ratio predicted statistically significant changes in age-related GFR decline, but individuals with baseline metabolic syndrome had a significant mean of 0.30 ml/min/year faster decline than individuals without metabolic syndrome in a multivariable adjusted linear regression model. This association was mainly driven by the triglyceride criterion of metabolic syndrome, which was associated with a significant 0.36 ml/min/year faster decline when analyzed separately. Results differed significantly when GFR was estimated using creatinine and/or cystatin C. Thus, metabolic syndrome, but not the body mass index, waist circumference or waist-hip ratio, is an independent risk factor for accelerated age-related GFR decline in the general population. Copyright © 2017 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

  10. 11β-Hydroxysteroid Dehydrogenases and Hypertension in the Metabolic Syndrome.

    Science.gov (United States)

    Bailey, Matthew A

    2017-11-14

    The metabolic syndrome describes a clustering of risk factors-visceral obesity, dyslipidaemia, insulin resistance, and salt-sensitive hypertension-that increases mortality related to cardiovascular disease, type 2 diabetes, cancer, and non-alcoholic fatty liver disease. The prevalence of these concurrent comorbidities is ~ 25-30% worldwide, and metabolic syndrome therefore presents a significant global public health burden. Evidence from clinical and preclinical studies indicates that glucocorticoid excess is a key causal feature of metabolic syndrome. This is not increased systemic in circulating cortisol, rather increased bioavailability of active glucocorticoids within tissues. This review examines the role of covert glucocorticoid excess on the hypertension of the metabolic syndrome. Here, the role of the 11β-hydroxysteroid dehydrogenase enzymes, which exert intracrine and paracrine control over glucocorticoid signalling, is examined. 11βHSD1 amplifies glucocorticoid action in cells and contributes to hypertension through direct and indirect effects on the kidney and vasculature. The deactivation of glucocorticoid by 11βHSD2 controls ligand access to glucocorticoid and mineralocorticoid receptors: loss of function promotes salt retention and hypertension. As for hypertension in general, high blood pressure in the metabolic syndrome reflects a complex interaction between multiple systems. The clear association between high dietary salt, glucocorticoid production, and metabolic disorders has major relevance for human health and warrants systematic evaluation.

  11. Metabolic syndrome and Framingham risk score in obese young adults

    Directory of Open Access Journals (Sweden)

    Felix F. Widjaja

    2013-05-01

    Full Text Available Background: The increase number of the metabolic syndrome (MetS among young adults was mostly caused by obesity. MetS increases the risk of coronary heart disease (CHD which can be estimated by Framingham risk score (FRS. The study was aimed to know the prevalence of MetS and FRS in obese young adults and to associate them with the components of MetS. Methods: A total of 70 male and female students aged 18 to 25 years with BMI ≥ 25 kg/m2 in Faculty of Medicine Universitas Indonesia were selected consecutively. The blood samples used to test fasting blood glucose, total cholesterol, high-density lipoprotein, and triglyceride were examined in Department of Clinical Pathology, Cipto Mangunkusumo Hospital after fasting for 14 to 16 hours. International Diabetes Federation (IDF definition was used to diagnose MetS. Univariate and bivariate analysis were done. Results: The prevalence of MetS based on IDF definition was 18.6% among obese young adults. The most associated MetS components was hypertriglyceridemia (OR 12.13; 95% CI 2.92-50.46; p = 0.001, followed with high blood pressure (OR 9.33; 95% CI 2.26-38.56; p = 0.001, low-HDL (OR 8.33; 95% CI 2.17-32.05; p = 0.003, and impaired fasting glucose (p = 0.03. Four subjects had FRS ≥ 1% and 66 subjects had risk < 1%. Increased FRS was not associated with MetS (p = 0.154. There was no component of MetS associated with increased FRS. Conclusion: Prevalence of MetS in obese young adults was similar with obese children and adolescents. Although no association of MetS and FRS was found, they are significant predictors for CHD which should not be used separately. (Med J Indones. 2013;22:100-6Keywords: Abdominal obesity, Framingham risk score, metabolic syndrome, young adults

  12. The Effect of a Resistance Training Course on Some Cardiovascular Risk Factors in Females with Metabolic Syndrome

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    M Salesi

    2016-07-01

    Full Text Available Introduction: Metabolic syndrome is considered as a risk factor for many chronic diseases such as type 2 diabetes and cardiovascular diseases. The syndrome is caused by such factors as poor nutrition, sedentary lifestyle, and genetic predisposition, while higher muscle strength levels are associated with a lower metabolic syndrome. Therefore, the present study aimed to evaluate the response of some cardiovascular risk factors in females with metabolic syndrome after 10 weeks of resistance training (RT. Methods: In this study, 26 postmenopausal sedentary women without any diseases participated, who were selected via voluntary purposive sampling and randomly divided into two experimental and control groups. The subjects participated in anthropometric tests, including height, waist and hip ratios, weight, subcutaneous fat and blood sampling. The experimental group performed the RT for 3sessions in 10weeks with 40 to 50 percent of maximum repetition. Results: The study results suggested that after 10 weeks of RT in the experimental group, weight (p<0.001, total cholesterol (p<0.03 and triglyceride (p<0.001 indices were significantly decreased in comparison with those of the control group. BMI, waist ratio, fat percentage, systolic blood pressure and HDL significantly changed between pre and post-test of the experimental group, though these changes were not reported to be significant between the experimental and control groups. Conclusion: The findings of the present study revealed that a regular resistance training program could improve the cardiovascular risk factor in females with metabolic syndrome. However, the effective mechanisms in improving metabolic syndrome symptoms subsequent to exercise are not clearly recognized yet.

  13. Metabolic Syndrome and Cardio-Cerebrovascular Risk Disparities Between Pilots and Aircraft Mechanics.

    Science.gov (United States)

    Kim, Myeong-Bo; Kim, Hyun-Jin; Kim, Soo-Hyeon; Lee, Suk-Ho; Lee, Se-Ho; Park, Won-Ju

    2017-09-01

    In the Republic of Korea Air Force, the health of pilots is strictly supervised, but there is comparatively not enough interest in aircraft mechanics' health. Among mechanics, who are heavily involved in military aircraft maintenance, the occurrence of sudden cardio-cerebrovascular diseases (CCVDs) is a possible risk factor during the maintenance process, which should be performed perfectly. We performed health examinations on 2123 male aircraft pilots and 1271 aircraft mechanics over 30 yr of age and determined the prevalence of metabolic syndrome (MetS), an important risk factor for CCVDs. The prevalence of MetS in the aircraft mechanics (21.3%) was significantly higher than in the pilots (12.6%), and the gap in prevalence tended to grow as age increased. Among aircraft mechanics in their 30s and 40s, the prevalence of MetS was lower than in the general population. However, the prevalence of MetS among aircraft mechanics in their 50s (36.0%) was similar to that in the general population (35.7%). Systematic health management is needed for aircraft mechanics for aviation safety and for the maintenance of military strength via the prevention of CCVDs.Kim M-B, Kim H-J, Kim S-H, Lee S-H, Lee S-H, Park W-J. Metabolic syndrome and cardio-cerebrovascular risk disparities between pilots and aircraft mechanics. Aerosp Med Hum Perform. 2017; 88(9):866-870.

  14. Physical activity, metabolic syndrome, and coronary risk: the EPIC-Norfolk prospective population study

    NARCIS (Netherlands)

    Broekhuizen, Lysette N.; Boekholdt, S. Matthijs; Arsenault, Benoit J.; Despres, Jean-Pierre; Stroes, Erik S. G.; Kastelein, John J. P.; Khaw, Kay-Tee; Wareham, Nicholas J.

    2011-01-01

    Objective: We investigated the association between physical activity, metabolic syndrome (MS), and the risk of future coronary heart disease (CHD) and mortality due to CHD in middle-aged men and women. Design: Prospective cohort study. Subjects: A total of 10,134 men and women aged 45-79 years at

  15. Beyond Risk Compensation: Clusters of Antiretroviral Treatment (ART Users in Sexual Networks Can Modify the Impact of ART on HIV Incidence.

    Directory of Open Access Journals (Sweden)

    Wim Delva

    Full Text Available Concerns about risk compensation-increased risk behaviours in response to a perception of reduced HIV transmission risk-after the initiation of ART have largely been dispelled in empirical studies, but other changes in sexual networking patterns may still modify the effects of ART on HIV incidence.We developed an exploratory mathematical model of HIV transmission that incorporates the possibility of ART clusters, i.e. subsets of the sexual network in which the density of ART patients is much higher than in the rest of the network. Such clusters may emerge as a result of ART homophily-a tendency for ART patients to preferentially form and maintain relationships with other ART patients. We assessed whether ART clusters may affect the impact of ART on HIV incidence, and how the influence of this effect-modifying variable depends on contextual variables such as HIV prevalence, HIV serosorting, coverage of HIV testing and ART, and adherence to ART.ART homophily can modify the impact of ART on HIV incidence in both directions. In concentrated epidemics and generalized epidemics with moderate HIV prevalence (≈ 10%, ART clusters can enhance the impact of ART on HIV incidence, especially when adherence to ART is poor. In hyperendemic settings (≈ 35% HIV prevalence, ART clusters can reduce the impact of ART on HIV incidence when adherence to ART is high but few people living with HIV (PLWH have been diagnosed. In all contexts, the effects of ART clusters on HIV epidemic dynamics are distinct from those of HIV serosorting.Depending on the programmatic and epidemiological context, ART clusters may enhance or reduce the impact of ART on HIV incidence, in contrast to serosorting, which always leads to a lower impact of ART on HIV incidence. ART homophily and the emergence of ART clusters should be measured empirically and incorporated into more refined models used to plan and evaluate ART programmes.

  16. Beyond Risk Compensation: Clusters of Antiretroviral Treatment (ART) Users in Sexual Networks Can Modify the Impact of ART on HIV Incidence.

    Science.gov (United States)

    Delva, Wim; Helleringer, Stéphane

    Concerns about risk compensation-increased risk behaviours in response to a perception of reduced HIV transmission risk-after the initiation of ART have largely been dispelled in empirical studies, but other changes in sexual networking patterns may still modify the effects of ART on HIV incidence. We developed an exploratory mathematical model of HIV transmission that incorporates the possibility of ART clusters, i.e. subsets of the sexual network in which the density of ART patients is much higher than in the rest of the network. Such clusters may emerge as a result of ART homophily-a tendency for ART patients to preferentially form and maintain relationships with other ART patients. We assessed whether ART clusters may affect the impact of ART on HIV incidence, and how the influence of this effect-modifying variable depends on contextual variables such as HIV prevalence, HIV serosorting, coverage of HIV testing and ART, and adherence to ART. ART homophily can modify the impact of ART on HIV incidence in both directions. In concentrated epidemics and generalized epidemics with moderate HIV prevalence (≈ 10%), ART clusters can enhance the impact of ART on HIV incidence, especially when adherence to ART is poor. In hyperendemic settings (≈ 35% HIV prevalence), ART clusters can reduce the impact of ART on HIV incidence when adherence to ART is high but few people living with HIV (PLWH) have been diagnosed. In all contexts, the effects of ART clusters on HIV epidemic dynamics are distinct from those of HIV serosorting. Depending on the programmatic and epidemiological context, ART clusters may enhance or reduce the impact of ART on HIV incidence, in contrast to serosorting, which always leads to a lower impact of ART on HIV incidence. ART homophily and the emergence of ART clusters should be measured empirically and incorporated into more refined models used to plan and evaluate ART programmes.

  17. White fish reduces cardiovascular risk factors in patients with metabolic syndrome: the WISH-CARE study, a multicenter randomized clinical trial.

    Science.gov (United States)

    Vázquez, C; Botella-Carretero, J I; Corella, D; Fiol, M; Lage, M; Lurbe, E; Richart, C; Fernández-Real, J M; Fuentes, F; Ordóñez, A; de Cos, A I; Salas-Salvadó, J; Burguera, B; Estruch, R; Ros, E; Pastor, O; Casanueva, F F

    2014-03-01

    Reduction of cardiovascular risk with high consumption of fish in diet is still a matter of debate, and concerns about heavy metal contamination have limited consumption of oily fish. We aimed to evaluate the effect of regular ingestion of white fish on cardiovascular risk factors in patients with metabolic syndrome. Multicenter randomized crossover clinical trial including 273 individuals with metabolic syndrome. An 8-week only-one dietary intervention: 100 g/d of white fish (Namibia hake) with advice on a healthy diet, compared with no fish or seafood with advice on a healthy diet. Outcomes were lipid profile, individual components of the metabolic syndrome, serum insulin concentrations, homeostasis model of insulin resistance, serum C-reactive protein and serum fatty acid levels. We found a significant lowering effect of the intervention with white fish on waist circumference (P rise (P syndrome, regular consumption of hake reduces LDL cholesterol concentrations, waist circumference and blood pressure components of the metabolic syndrome. White Fish for Cardiovascular Risk Factors in Patients with Metabolic Syndrome Study, Registered under ClinicalTrials.gov Identifier: NCT01758601. Copyright © 2013 Elsevier B.V. All rights reserved.

  18. [Consensus statement on metabolic disorders and cardiovascular risks in patients with human immunodeficiency virus].

    Science.gov (United States)

    Polo Rodríguez, Rosa; Galindo Puerto, María José; Dueñas, Carlos; Gómez Candela, Carmen; Estrada, Vicente; Villar, Noemí G P; Locutura, Jaime; Mariño, Ana; Pascua, Javier; Palacios, Rosario; von Wichmman, Miguel Ángel; Álvarez, Julia; Asensi, Victor; Lopez Aldeguer, José; Lozano, Fernando; Negredo, Eugenia; Ortega, Enrique; Pedrol, Enric; Gutiérrez, Félix; Sanz Sanz, Jesús; Martínez Chamorro, Esteban

    2015-01-01

    This consensus document is an update of metabolic disorders and cardiovascular risk (CVR) guidelines for HIV-infected patients. This document has been approved by an expert panel of GEAM, SPNS and GESIDA after reviewing the results of efficacy and safety of clinical trials, cohort and pharmacokinetic studies published in biomedical journals (PubMed and Embase) or presented in medical scientific meetings. Recommendation strength and the evidence in which they are supported are based on the GRADE system. A healthy lifestyle is recommended, no smoking and at least 30min of aerobic exercise daily. In diabetic patients the same treatment as non-HIV infected patients is recommended. HIV patients with dyslipidemia should be considered as high CVR, thus its therapeutic objective is an LDL less than 100mg/dL. The antihypertensive of ACE inhibitors and ARAII families are better tolerated and have a lower risk of interactions. In HIV-patients with diabetes or metabolic syndrome and elevated transaminases with no defined etiology, the recommended is to rule out a hepatic steatosis Recommendations for action in hormone alterations are also updated. These new guidelines update previous recommendations regarding all those metabolic disorders involved in CVR. Hormone changes and their management and the impact of metabolic disorders on the liver are also included. Copyright © 2014 Elsevier España, S.L.U. y Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved.

  19. Effect of aerobic exercise training followed by a low-calorie diet on metabolic syndrome risk factors in men.

    Science.gov (United States)

    Matsuo, T; So, R; Shimojo, N; Tanaka, K

    2015-09-01

    Whether low-volume, high-intensity, interval training (HIIT) is an adequate exercise method for improving metabolic risk factors is controversial. Moreover, it is not known if performing a short-term, low-calorie diet intervention (LCDi) after a HIIT program affects risk factors. This study investigated how an 8-week, 3 times/week exercise intervention (EXi) incorporating either HIIT or moderate-intensity continuous training (MICT) followed by a 4-week LCDi affects risk factors. Twenty-six male workers with metabolic risk factors (47.4 ± 7.1 years; cardiorespiratory capacity (VO2peak) of 28.5 ± 3.9 ml/kg/min) were randomly assigned to either the HIIT (3 sets of 3-min cycling with a 2-min active rest between sets, 180 kcal) or MICT (45 min, 360 kcal) group. After the EXi, all subjects participated in a 4-week LCDi (4 counseling sessions). During the EXi, VO2peak improved more (P exercise volume than MICT, but this advantage of HIIT promptly disappeared through detraining. An intervention strategy consisting of 8 weeks of either HIIT or MICT followed by a 4-week LCDi has a positive effect on metabolic risk factors. UMIN11352. Copyright © 2015 Elsevier B.V. All rights reserved.

  20. Clinical utility of polymorphisms in one-carbon metabolism for breast cancer risk prediction

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    Shaik Mohammad Naushad

    2011-01-01

    Full Text Available This study addresses the issues in translating the laboratory derived data obtained during discovery phase of research to a clinical setting using a breast cancer model. Laboratory-based risk assessment indi-cated that a family history of breast cancer, reduced folate carrier 1 (RFC1 G80A, thymidylate synthase (TYMS 5’-UTR 28bp tandem repeat, methylene tetrahydrofolate reductase (MTHFR C677T and catecholamine-O-methyl transferase (COMT genetic polymorphisms in one-carbon metabolic pathway increase the risk for breast cancer. Glutamate carboxypeptidase II (GCPII C1561T and cytosolic serine hydroxymethyl transferase (cSHMT C1420T polymorphisms were found to decrease breast cancer risk. In order to test the clinical validity of this information in the risk prediction of breast cancer, data was stratified based on number of protective alleles into four categories and in each category sensitivity and 1-specificity values were obtained based on the distribution of number of risk alleles in cases and controls. Receiver operating characteristic (ROC curves were plotted and the area under ROC curve (C was used as a measure of discriminatory ability between cases and controls. In subjects without any protective allele, aberrations in one-carbon metabolism showed perfect prediction (C=0.93 while the predictability was lost in subjects with one protective allele (C=0.60. However, predictability increased steadily with increasing number of protective alleles (C=0.63 for 2 protective alleles and C=0.71 for 3 protective alleles. The cut-off point for discrimination was >4 alleles in all predictable combinations. Models of this kind can serve as valuable tools in translational re-search, especially in identifying high-risk individuals and reducing the disease risk either by life style modification or by medical intervention.

  1. Presence of metabolic syndrome in football linemen.

    Science.gov (United States)

    Buell, Jackie L; Calland, Doug; Hanks, Fiona; Johnston, Bruce; Pester, Benjamin; Sweeney, Robert; Thorne, Robert

    2008-01-01

    Metabolic syndrome is a clustering of symptoms associated with abdominal obesity that demonstrates a high risk for cardiovascular disease and type II diabetes mellitus. To evaluate football linemen in National Collegiate Athletic Association Divisions I, II, and III schools for the presence of metabolic syndrome according to the American Heart Association/National Heart, Lung, and Blood Institute criteria as well as to document other related biomarkers. Cross-sectional descriptive study. Three university locations on the first full day of football camp in early morning. Of 76 football linemen, 70 were able to provide blood samples. Height, mass, blood pressure, upper-body skinfolds, and waist circumference were measured at various stations. Two small venous samples of blood were collected and analyzed in a hospital laboratory for fasting insulin, glucose, high-density lipoprotein, total cholesterol, triglycerides, C-reactive protein, and glycosylated hemoglobin. The last station was a verbal family history for cardiovascular disease and diabetes; also, athletes filled out a nutrition attitudes questionnaire. Of the 70 athletes, 34 were identified as having metabolic syndrome according to measures of blood pressure, waist circumference, fasting glucose, high-density lipoprotein, and triglycerides. The mean total cholesterol-to-high-density lipoprotein cholesterol ratio for the group was 4.95, with 32 participants displaying values higher than 5.0. Twelve volunteers had total cholesterol levels greater than 200 mmol/L, 15 had high levels of C-reactive protein, and 9 had slightly elevated levels of glycosylated hemoglobin. Although athletes might be assumed to be protected from risks of cardiovascular disease, we found a high incidence of metabolic syndrome and other associated adverse biomarkers for heart disease in collegiate football linemen. Early screening, awareness, and intervention may have favorable effects on the overall health outcomes of football linemen.

  2. Separate and joint associations of occupational and leisure-time sitting with cardio-metabolic risk factors in working adults: a cross-sectional study.

    Directory of Open Access Journals (Sweden)

    Madina Saidj

    Full Text Available BACKGROUND: The workplace is a main setting for prolonged sitting for some occupational groups. Convincing evidence has recently accumulated on the detrimental cardio-metabolic health effects of leisure-time sitting. Yet, much less is known about occupational sitting, and the potential health risk attached compared to leisure-time sitting. OBJECTIVE: To explore the separate and joint associations of occupational and leisure-time sitting with cardio-metabolic risk factors in working adults. METHODS: All working adults (N = 2544 from the Health2006, a Danish population-based study, were included in this cross-sectional study. Participants reported hours of sitting during work, during leisure-time along with socio-demographic and behavioral characteristics, including physical activity. Cardio-metabolic risk factors (waist circumference, body mass index, body fat percentage, total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides, insulin, hemoglobin A1c and plasma glucose were measured. Associations were explored by linear regression for leisure-time, occupational, and overall sitting time. RESULTS: Statistically significant (p<.05 detrimental associations of leisure-time sitting were observed with all cardio-metabolic risk factors, except hemoglobin A1c and plasma glucose. Similarly, occupational sitting time was significantly detrimentally associated with HDL cholesterol, triglycerides, and insulin. For categories of sitting time, a joint adverse association of sitting much during both work-time and leisure-time was observed. CONCLUSION: The associations of occupational sitting time with cardio-metabolic risk factors were fewer and weaker compared to leisure-time sitting. Yet, the joint associations of occupational and leisure-time sitting with cardio-metabolic risk factors were higher than the separate. Our findings amplify the need for further focus in this area prior to making assumptions about equivalent health risks across

  3. Separate and joint associations of occupational and leisure-time sitting with cardio-metabolic risk factors in working adults: a cross-sectional study.

    Science.gov (United States)

    Saidj, Madina; Jørgensen, Torben; Jacobsen, Rikke K; Linneberg, Allan; Aadahl, Mette

    2013-01-01

    The workplace is a main setting for prolonged sitting for some occupational groups. Convincing evidence has recently accumulated on the detrimental cardio-metabolic health effects of leisure-time sitting. Yet, much less is known about occupational sitting, and the potential health risk attached compared to leisure-time sitting. To explore the separate and joint associations of occupational and leisure-time sitting with cardio-metabolic risk factors in working adults. All working adults (N = 2544) from the Health2006, a Danish population-based study, were included in this cross-sectional study. Participants reported hours of sitting during work, during leisure-time along with socio-demographic and behavioral characteristics, including physical activity. Cardio-metabolic risk factors (waist circumference, body mass index, body fat percentage, total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides, insulin, hemoglobin A1c and plasma glucose) were measured. Associations were explored by linear regression for leisure-time, occupational, and overall sitting time. Statistically significant (pleisure-time sitting were observed with all cardio-metabolic risk factors, except hemoglobin A1c and plasma glucose. Similarly, occupational sitting time was significantly detrimentally associated with HDL cholesterol, triglycerides, and insulin. For categories of sitting time, a joint adverse association of sitting much during both work-time and leisure-time was observed. The associations of occupational sitting time with cardio-metabolic risk factors were fewer and weaker compared to leisure-time sitting. Yet, the joint associations of occupational and leisure-time sitting with cardio-metabolic risk factors were higher than the separate. Our findings amplify the need for further focus in this area prior to making assumptions about equivalent health risks across sedentary behaviors. To our knowledge, this is the first study to contrast the deleterious associations of

  4. Independent associations between a metabolic syndrome severity score and future diabetes by sex and race: the Atherosclerosis Risk In Communities Study and Jackson Heart Study.

    Science.gov (United States)

    Gurka, Matthew J; Golden, Sherita H; Musani, Solomon K; Sims, Mario; Vishnu, Abhishek; Guo, Yi; Cardel, Michelle; Pearson, Thomas A; DeBoer, Mark D

    2017-07-01

    The study aimed to assess for an association between the degree of severity of the metabolic syndrome and risk of type 2 diabetes beyond that conferred by the individual components of the metabolic syndrome. We assessed HRs for an Adult Treatment Panel III (ATP-III) metabolic syndrome score (ATP-III MetS) and a sex- and race-specific continuous metabolic syndrome severity z score related to incident diabetes over a median of 7.8 years of follow-up among participants of two observational cohorts, the Atherosclerosis Risk in Communities study (n = 10,957) and the Jackson Heart Study (n = 2137). The ATP-III MetS had an HR for incident diabetes of 4.36 (95% CI 3.83, 4.97), which was attenuated in models that included the individual metabolic syndrome components. By contrast, participants in the fourth quartile of metabolic syndrome severity (compared with the first quartile) had an HR of 17.4 (95% CI 12.6, 24.1) for future diabetes; in models that also included the individual metabolic syndrome components, this remained significant, with an HR of 3.69 (95% CI 2.42, 5.64). There was a race × metabolic syndrome interaction in these models such that HR was greater for black participants (5.30) than white participants (2.24). When the change in metabolic syndrome severity score was included in the hazard models, this conferred a further association, with changes in metabolic syndrome severity score of ≥0.5 having a HR of 2.66 compared with changes in metabolic syndrome severity score of ≤0. Use of a continuous sex- and race-specific metabolic syndrome severity z score provided an additional prediction of risk of diabetes beyond that of the individual metabolic syndrome components, suggesting an added risk conferred by the processes underlying the metabolic syndrome. Increases in this score over time were associated with further risk, supporting the potential clinical utility of following metabolic syndrome severity over time.

  5. Metabolism and risks from tritium and carbon-14 in the developing organism

    International Nuclear Information System (INIS)

    Gerber, G.B.; Kirchmann, R.; Hoek, J. van den

    1987-01-01

    In this review the risks are considered from tritium and carbon-14 to the developing organs of mammals. It mainly deals with H-3 but the conclusions are largely valid also for C-14. The metabolism and average tissue of THO as well as of organically bound tritium are discussed. Dosimetry of radiosensitive structures is also considered. 14 refs.; 2 figs.; 1 table

  6. Relative risk of diabetes, dyslipidaemia, hypertension and the metabolic syndrome in people with severe mental illnesses: Systematic review and metaanalysis

    Directory of Open Access Journals (Sweden)

    King Michael B

    2008-09-01

    Full Text Available Abstract Background Severe mental illnesses (SMI may be independently associated with cardiovascular risk factors and the metabolic syndrome. We aimed to systematically assess studies that compared diabetes, dyslipidaemia, hypertension and metabolic syndrome in people with and without SMI. Methods We systematically searched MEDLINE, EMBASE, CINAHL & PsycINFO. We hand searched reference lists of key articles. We employed three search main themes: SMI, cardiovascular disease, and each cardiovascular risk factor. We selected cross-sectional, case control, cohort or intervention studies comparing one or more risk factor in both SMI and a reference group. We excluded studies without any reference group. We extracted data on: study design, cardiovascular risk factor(s and their measurement, diagnosis of SMI, study setting, sampling method, nature of comparison group and data on key risk factors. Results Of 14592 citations, 134 papers met criteria and 36 were finally included. 26 reported on diabetes, 12 hypertension, 11 dyslipidaemia, and 4 metabolic syndrome. Most studies were cross sectional, small and several lacked comparison data suitable for extraction. Meta-analysis was possible for diabetes, cholesterol and hypertension; revealing a pooled risk ratio of 1.70 (1.21 to 2.37 for diabetes and 1.11 (0.91 to 1.35 of hypertension. Restricting SMI to schizophreniform illnesses yielded a pooled risk ratio for diabetes of 1.87 (1.68 to 2.09. Total cholesterol was not higher in people with SMI (Standardized Mean Difference -0.10 (-0.55 to 0.36 and there were inconsistent data on HDL, LDL and triglycerides with some, but not all, reporting lower levels of HDL cholesterol and raised triglyceride levels. Metabolic syndrome appeared more common in SMI. Conclusion Diabetes (but not hypertension is more common in SMI. Data on other risk factors were limited by poor quality or inconsistent research findings, but a small number of studies show greater prevalence

  7. Impact of the Heart WATCH Program on Patients at Risk of Developing Metabolic Syndrome, Prediabetes or Cardiovascular Disease

    Directory of Open Access Journals (Sweden)

    Jennifer Fink

    2015-04-01

    Full Text Available Purpose: Metabolic syndrome is a set of metabolic risk factors associated with increased risk of developing cardiovascular disease and type 2 diabetes mellitus. We retrospectively evaluated the effectiveness of a lifestyle modification program (Heart WATCH geared toward reducing development of chronic disease in women deemed at risk for metabolic syndrome, prediabetes and/or cardiovascular disease. Methods: Our institution’s Heart WATCH program consists of screening sessions with a multidisciplinary team (physician/nurse, nutritionist and psychologist, a minimum of three visits with a nurse practitioner and weekly follow-up phone calls for a 14-week period. Sociodemographic variables were obtained at initial visit. Biometric testing indices and self-reported clinical and behavioral health measures were recorded pre- and postintervention, and compared using paired t-tests or McNemar’s test as appropriate. Results: Heart WATCH enrolled 242 women from November 2006 to April 2014, and 193 (80% completed all phases of the 14-week lifestyle intervention. Postintervention, participants demonstrated improved health status in all areas and improved significantly in the following areas: diet/nutrition (P=0.014, exercise (P<0.001, stress (P<0.0001, quality of life (P=0.003, weight (P<0.0001, waist circumference (P=0.01 and total cholesterol (P=0.019. Clinically meaningful improvements were realized by participants who moved to a healthier classification in a number of vital signs and blood panel indices. Conclusions: These findings suggest the “elevated risk profile” for women with components of metabolic syndrome can be reversed through a lifestyle program focused on reducing risk factors associated with cardiovascular disease and prediabetes. Future research is needed to determine mechanisms of risk reduction as well as optimal patient-centered and culturally appropriate approaches to weight management.

  8. Effectiveness of physical activity intervention among government employees with metabolic syndrome

    OpenAIRE

    Chee Huei Phing; Hazizi Abu Saad; M.Y. Barakatun Nisak; M.T. Mohd Nasir

    2017-01-01

    Background/Objective: Our study aimed to assess the effects of physical activity interventions via standing banners (point-of-decision prompt) and aerobics classes to promote physical activity among individuals with metabolic syndrome. Methods: We conducted a cluster randomized controlled intervention trial (16-week intervention and 8-week follow-up). Malaysian government employees in Putrajaya, Malaysia, with metabolic syndrome were randomly assigned by cluster to a point-of-decision prom...

  9. Risk factors of metabolic syndrome among food suppliers

    Directory of Open Access Journals (Sweden)

    Pasdar Yahya

    2017-01-01

    Full Text Available Introduction/Objective. As a risk factor for chronic diseases, metabolic syndrome (MS is increasing at an alarming rate. The prevalence of MS varies according to lifestyle and occupation in different populations. The present study aimed to determine the prevalence of MS and its components in food suppliers. Methods. A total of 112 food suppliers were randomly selected from all around the city. Data collection tools included demographic, physical activity, and food frequency questionnaires. Body composition was measured using Bio-Electrical Body Analyzer. A sample of 5 ml of fasting blood was taken from participants to assess lipid profile, blood sugar, insulin, and liver enzymes. The data were analyzed using χ2, Kolmogorov–Smirnov and ANOVA tests. Results. Participants’ mean BMI was 27.1 ± 3.9 kg/m2, 43.6% were overweight, and 26.4% were obese. Consumption of vegetables was less and of meats more than recommended amounts. The prevalence of MS was 45.5% (51 people, which increased with aging (p = 0.02. Among factors causing MS, the most common one was waist-to-hip ratio (WHR > 0.09 (72.7%, followed by high triglyceride and low HDL. Conclusion. In this study, the prevalence of MS among food suppliers was higher than the world average and than prevalence in other countries. WHR (or obesity was found to be the most important risk factor for MS. To reduce the risk of MS, changing dietary consumption habits and increased physical activity are recommended to persons with high risk and sedentary occupations.

  10. Increased intestinal permeability, measured by serum zonulin, is associated with metabolic risk markers in overweight pregnant women.

    Science.gov (United States)

    Mokkala, Kati; Pellonperä, Outi; Röytiö, Henna; Pussinen, Pirkko; Rönnemaa, Tapani; Laitinen, Kirsi

    2017-04-01

    Increased intestinal permeability with subsequent metabolic endotoxemia, i.e., elevated circulating levels of bacterial lipopolysaccharide, LPS, has been introduced as a novel initiator of obesity related metabolic disturbances in non-pregnant individuals. The objective was to investigate the extent to which intestinal permeability, measured by serum zonulin concentration, is related to metabolic endotoxemia and metabolic risk markers in overweight pregnant women. This was a cross-sectional study including 100 pregnant overweight women in early pregnancy. Serum zonulin was analyzed using ELISA, and markers for metabolic endotoxemia (LPS), inflammation (high-sensitive C-reactive protein and glycoprotein acetylation GlyA), glucose metabolism (fasting glucose and insulin), and lipid metabolism were measured. Higher serum zonulin concentration associated positively with LPS (P=0.02), inflammatory markers (Pzonulin quartiles). All the observed associations were confirmed (Pzonulin concentration, i.e., increased intestinal permeability, contributes to metabolic endotoxemia, systemic inflammation, and insulin resistance in overweight pregnant women. By reinforcing intestinal barrier, it may be possible to manipulate maternal metabolism during pregnancy with subsequent health benefits. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. Canagliflozin improves risk factors of metabolic syndrome in patients with type 2 diabetes mellitus and metabolic syndrome

    Directory of Open Access Journals (Sweden)

    Davies MJ

    2017-01-01

    Full Text Available Michael J Davies,1 Katherine W Merton,1 Ujjwala Vijapurkar,2 Dainius A Balis,2 Mehul Desai2 1Janssen Scientific Affairs, LLC, Titusville, NJ, USA; 2Janssen Research & Development, LLC, Raritan, NJ, USA Objective: Metabolic syndrome refers to a collection of risk factors associated with the development of cardiovascular disease and type 2 diabetes mellitus (T2DM. Canagliflozin, a sodium glucose co-transporter 2 inhibitor, improves glycemic control and reduces body weight and blood pressure (BP in a broad range of patients with T2DM. This post hoc analysis assessed the effects of canagliflozin on the components of metabolic syndrome in patients with T2DM and metabolic syndrome.Methods: This analysis was based on data from 2 head-to-head studies of canagliflozin in patients with T2DM on background metformin versus glimepiride (study 1 and background metformin plus sulfonylurea versus sitagliptin 100 mg (study 2. Changes from baseline in glycemic efficacy, anthropometric measures, BP, and lipids were evaluated with canagliflozin versus glimepiride and sitagliptin at week 52 in patients who met ≥2 of the criteria for metabolic syndrome (in addition to T2DM: triglycerides ≥1.7 mmol/L; high-density lipoprotein cholesterol (HDL-C <1.0 mmol/L (men or <1.3 mmol/L (women; waist circumference ≥102 cm (non-Asian men, ≥88 cm (non-Asian women, >90 cm (Asian men, or >80 cm (Asian women; diagnosis of hypertension or meeting BP-related criteria (systolic BP ≥130 mmHg or diastolic BP ≥85 mmHg. Safety was assessed based on adverse event reports.Results: In study 1, canagliflozin 100 and 300 mg provided similar and greater HbA1c reductions versus glimepiride, respectively. In study 2, canagliflozin 300 mg provided greater HbA1c lowering versus sitagliptin 100 mg. Canagliflozin also reduced fasting plasma glucose, body weight, body mass index, waist circumference, BP, and triglycerides, and increased HDL-C and low-density lipoprotein cholesterol versus

  12. Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster

    Directory of Open Access Journals (Sweden)

    Yanfei Tian

    2017-06-01

    Full Text Available In order to set up a mathematical model suitable for nautical navigational environment risk evaluation and systematically master the navigational environment risk characteristics of the Qiongzhou Strait in a quantitative way, a risk assessment model with approach steps is set up based on the grey fixed weight cluster (GFWC. The evaluation index system is structured scientifically through both literature review and expert investigation. The relative weight of each index is designed to be obtained via fuzzy analytic hierarchy process (FAHP; Index membership degree of every grey class is proposed to be achieved by fuzzy statistics (FS to avoid the difficulty of building whiten weight functions. By using the model, nautical navigational environment risk of the Qiongzhou Strait is determined at a “moderate” level according to the principle of maximum membership degree. The comprehensive risk evaluation of the Qiongzhou Strait nautical navigational environment can provide theoretical reference for implementing targeted risk control measures. It shows that the constructed GFWC risk assessment model as well as the presented steps are workable in case of incomplete information. The proposed strategy can excavate the collected experts’ knowledge mathematically, quantify the weight of each index and risk level, and finally lead to a comprehensive risk evaluation result. Besides, the adoptions of probability and statistic theory, fuzzy theory, aiming at solving the bottlenecks in case of uncertainty, will give the model a better adaptability and executability.

  13. Change in cardiovascular risk factors following early diagnosis of type 2 diabetes: a cohort analysis of a cluster-randomised trial

    OpenAIRE

    Black, James A; Sharp, Stephen J; Wareham, Nicholas J; Sandbæk, Annelli; Rutten, Guy EHM; Lauritzen, Torsten; Khunti, Kamlesh; Davies, Melanie J; Borch-Johnsen, Knut; Griffin, Simon J; Simmons, Rebecca K

    2014-01-01

    Background There is little evidence to inform the targeted treatment of individuals found early in the diabetes disease trajectory. Aim To describe cardiovascular disease (CVD) risk profiles and treatment of individual CVD risk factors by modelled CVD risk at diagnosis; changes in treatment, modelled CVD risk, and CVD risk factors in the 5 years following diagnosis; and how these are patterned by socioeconomic status. Design and setting Cohort analysis of a cluster-randomised trial (ADDITION-...

  14. Influence of muscle fitness test performance on metabolic risk factors among adolescent girls

    Directory of Open Access Journals (Sweden)

    Mota Jorge

    2010-06-01

    Full Text Available Abstract Background The purpose of this study was to examine the association between muscular fitness (MF, assessed by 2 components of Fitnessgram test battery, the Curl-Up and Push-Ups tests and the metabolic risk score among adolescent girls. Methods A total of 229 girls (aged 12-15 years old comprised the sample of this study. Anthropometric data (height, body mass, waist circumference were collected. Body mass index (BMI was also calculated. Muscular strength was assessed taking into account the tests that comprised the FITNESSGRAM test battery, i.e. the curl-up and the push-up. Participants were then categorized in one of 3 categories according the number of tests in which they accomplished the scores that allow them to be classified in health or above health zone. The blood pressure [BP], fasting total cholesterol [TC], low density lipoprotein-cholesterol [LDL-C], high density lipoprotein-cholesterol [HDL-C], triglycerides [TG], glucose, and a metabolic risk score (MRS were also examined. Physical Activity Index (PAI was obtained by questionnaire. Results Higher compliance with health-zone criteria (good in the 2 tests, adjusted for age and maturation, were positive and significantly (p ≤ 0.05 associated with height (r = 0.19 and PAI (r = 0.21, while a significant but negative association was found for BMI (r = -0.12; WC (r = -0.19; TC (r = -0.16; TG (r = -0.16; LDL (r = -0.16 and MRS (r = -0.16. Logistic regression showed that who were assigned to MF fittest group were less likely (OR = 0.27; p = 0.003 to be classified overweight/obese and less likely (OR = 0.26; p = 0.03 to be classified as having MRS. This last association was also found for those whom only performed 1 test under the health zone (OR = 0.23; p = 0.02. Conclusions Our data showed that low strength test performance was associated with increased risk for obesity and metabolic risk in adolescent girls even after adjustment for age and maturation.

  15. Interactions of Lipid Genetic Risk Scores with Estimates of Metabolic Health in a Danish Population

    DEFF Research Database (Denmark)

    Justesen, Johanne M; Allin, Kristine H; Sandholt, Camilla H

    2015-01-01

    Background—There are several well-established lifestyle factors influencing dyslipidemia and currently; 157 genetic susceptibility loci have been reported to be associated with serum lipid levels at genome-wide statistical significance. However, the interplay between lifestyle risk factors...... and these susceptibility loci has not been fully elucidated. We tested whether genetic risk scores (GRS) of lipid-associated single nucleotide polymorphisms associate with fasting serum lipid traits and whether the effects are modulated by lifestyle factors or estimates of metabolic health. Methods and Results—The single......-cholesterol, high-density lipoprotein-cholesterol, or triglyceride, 4 weighted GRS were constructed. In a cross-sectional design, we investigated whether the effect of these weighted GRSs on lipid levels were modulated by diet, alcohol consumption, physical activity, and smoking or the individual metabolic health...

  16. Trend of Cardio-Metabolic Risk Factors in Polycystic Ovary Syndrome: A Population-Based Prospective Cohort Study.

    Directory of Open Access Journals (Sweden)

    Fahimeh Ramezani Tehrani

    Full Text Available To see the changes of cardio-metabolic risk factors overtime in polycystic ovary syndrome vs. control women.This study was conducted on 637 participants (85 PCOS and 552 control reproductive aged, 18-45 years of Tehran Lipid and Glucose Study (TLGS, an ongoing population-based cohort study with 12 years of follow-up. The cardiovascular risk factors of these groups were assessed in three-year intervals using standard questionnaires, history taking, anthropometric measures, and metabolic/endocrine evaluation. Generalized estimating equation was used to analyze the data.Overall mean of insulin (3.55, CI: 0.66-6.45, HOMA-IR (0.63, CI: 0.08-1.18, and HOMA-β (45.90, CI: 0.86-90.93 were significantly higher in PCOS than in healthy women after adjustment for age, BMI, and baseline levels. However, the negative interaction (follow-up years × PCOS status of PCOS and normal women converged overtime. Comparing third follow-up with first, insulin and HOMA-IR decreased 10.6% and 5%, respectively in PCOS women; and increased 6.7% and 14.6%, respectively in controls (P<0.05. The results did not show any significant result for other cardio-metabolic variables including WC, lipid profile, FPG, 2-h PG, SBP, and DBP.While the insulin level and insulin resistance rate were higher in reproductive aged PCOS than in healthy women, the difference of these risk factors decreased overtime. Thus, the metabolic consequences of PCOS women in later life may be lower than those initially anticipated.

  17. Cohort study on clustering of lifestyle risk factors and understanding its association with stress on health and wellbeing among school teachers in Malaysia (CLUSTer)--a study protocol.

    Science.gov (United States)

    Moy, Foong Ming; Hoe, Victor Chee Wai; Hairi, Noran Naqiah; Buckley, Brian; Wark, Petra A; Koh, David; Bueno-de-Mesquita, H Bas; Bulgiba, Awang M

    2014-06-17

    The study on Clustering of Lifestyle risk factors and Understanding its association with Stress on health and wellbeing among school Teachers in Malaysia (CLUSTer) is a prospective cohort study which aims to extensively study teachers in Malaysia with respect to clustering of lifestyle risk factors and stress, and subsequently, to follow-up the population for important health outcomes. This study is being conducted in six states within Peninsular Malaysia. From each state, schools from each district are randomly selected and invited to participate in the study. Once the schools agree to participate, all teachers who fulfilled the inclusion criteria are invited to participate. Data collection includes a questionnaire survey and health assessment. Information collected in the questionnaire includes socio-demographic characteristics, participants' medical history and family history of chronic diseases, teaching characteristics and burden, questions on smoking, alcohol consumption and physical activities (IPAQ); a food frequency questionnaire, the job content questionnaire (JCQ); depression, anxiety and stress scale (DASS21); health related quality of life (SF12-V2); Voice Handicap Index 10 on voice disorder, questions on chronic pain, sleep duration and obstetric history for female participants. Following blood drawn for predefined clinical tests, additional blood and urine specimens are collected and stored for future analysis. Active follow up of exposure and health outcomes will be carried out every two years via telephone or face to face contact. Data collection started in March 2013 and as of the end of March 2014 has been completed for four states: Kuala Lumpur, Selangor, Melaka and Penang. Approximately 6580 participants have been recruited. The first round of data collection and blood sampling is expected to be completed by the end of 2014 with an expected 10,000 participants recruited. Our study will provide a good basis for exploring the clustering of

  18. The Association between Dietary Approaches to Stop Hypertension Diet and Metabolic Syndrome in Women

    Directory of Open Access Journals (Sweden)

    N. Ghasemifard

    2014-07-01

    Full Text Available Introduction & Objective: Epidemiologic data linking adherence to the Dietary Approaches to Stop Hypertension (DASH diet and metabolic syndrome in Iranian population is sparse. We aimed to evaluate the association between adherence to the DASH dietary pattern and risk of metabolic syndrome in a group of Isfahani female nurses. Materials & Methods: This cross-sectional study was carried out among 420 female nurses aged >30 years selected by a multistage cluster random sampling method. Usual dietary in-takes were assessed using a validated food frequency questionnaire. Fasting blood samples were drawn to measure metabolic profiles and blood pressure was recorded. Additional co-variate information was obtained using questionnaires. The metabolic syndrome was defined according to the guidelines of National Cholesterol Education Program Adult Treatment Panel III (ATP III. The DASH score was constructed based on high intake of fruits, vegeta-bles, whole grains, lean meat,and low-fat dairy. The data was analyzed by SPSS18 software and one-way ANOVA, Chi-square and ANCOVA statistical tests. Results: After controlling for confounders, individuals in the highest tertile of the DASH diet score had 81% lower risk of metabolic syndrome than those in the lowest category (OR: 0.19; 95% CI: 0.07-0.96. In addition, participants in the highest tertile of adherence to DASH diet had 62, 72, 78 and 86% lower odds for enlarged waist circumference, hyper-triglyceridemia, low HDL-c levels and high blood pressure than those in the lowest tertile, respectively. Conclusion: Findings of the present study revealed that adherence to the DASH eating plan reduced the risk of metabolic syndrome and all of its features, except hyperglycemia. (Sci J Hamadan Univ Med Sci 2014; 21 (2:112-121

  19. Elderly women with metabolic syndrome present higher cardiovascular risk and lower relative muscle strength

    Energy Technology Data Exchange (ETDEWEB)

    Farias, Darlan Lopes; Tibana, Ramires Alsamir; Teixeira, Tatiane Gomes; Vieira, Denis César Leite; Tarja, Vitor; Nascimento, Dahan da Cunha; Silva, Alessandro de Oliveira [Universidade Católica de Brasília, Brasília, DF (Brazil); Funghetto, Silvana Schwerz [Universidade de Brasília, Brasília, DF (Brazil); Coura, Maritza Alves de Sousa; Valduga, Renato [Universidade Católica de Brasília, Brasília, DF (Brazil); Karnikowski, Margô Gomes de Oliveira [Universidade de Brasília, Brasília, DF (Brazil); Prestes, Jonato [Universidade Católica de Brasília, Brasília, DF (Brazil)

    2013-07-01

    To compare the metabolic, anthropometric, arterial blood pressure, and muscle strength parameters of elderly women with and without metabolic syndrome. A case-control study with 27 (67.3±4.8 years of age, 31.0±5.0kg/m{sup 2}) elderly women with metabolic syndrome and 33 (68.8±5.6 years of age, 27.2±5.3kg/m{sup 2}) sedentary control elderly women. They were submitted to an evaluation of body composition by means of dual-energy X-ray absorptiometry and muscle strength testing with 10 maximal repetitions of knee extension. When compared to the elderly women without metabolic syndrome, those with the metabolic syndrome had higher levels for body mass (72.2±13.5 versus 63.4±14.6kg, p=0.03), body mass index (31.0±5.0 versus 27.2±5.3kg/m{sup 2,} p=0.007), fat mass (30.9±9.9 versus 24.4±8.5kg, p=0.01), systolic arterial pressure (125.1±8.2 versus 119.3±8.7mmHg, p=0.01), diastolic arterial pressure (75.5±6.9 versus 71.4±6.7mmHg, p=0.03), mean arterial pressure (92.5±6.2 versus 87.1±6.7mmHg, p=0.004), blood glucose (103.8±19.1 versus 91.1±5.9mg/dL, p=0.001), triglycerides (187.1±70.2 versus 116.3±36.7mg/dL, p=0.001), and creatine kinase (122.6±58.6 versus 89.8±32.5U/L, p=0.01); lower levels were found for fat-free mass (55.9±5.8 versus 59.3±6.7%; p=0.05), HDL-C (40.7±5.0 versus 50.5±10.1mg/dL, p=0.001), and relative muscle strength (0.53±0.14 versus 0.62±0.12, p=0.01). Elderly women with metabolic syndrome have a higher cardiovascular risk and less relative muscle strength when compared to those without metabolic syndrome. Relative muscle strength may be related to the cardiovascularr risk factors of the metabolic syndrome.

  20. Elderly women with metabolic syndrome present higher cardiovascular risk and lower relative muscle strength

    International Nuclear Information System (INIS)

    Farias, Darlan Lopes; Tibana, Ramires Alsamir; Teixeira, Tatiane Gomes; Vieira, Denis César Leite; Tarja, Vitor; Nascimento, Dahan da Cunha; Silva, Alessandro de Oliveira; Funghetto, Silvana Schwerz; Coura, Maritza Alves de Sousa; Valduga, Renato; Karnikowski, Margô Gomes de Oliveira; Prestes, Jonato

    2013-01-01

    To compare the metabolic, anthropometric, arterial blood pressure, and muscle strength parameters of elderly women with and without metabolic syndrome. A case-control study with 27 (67.3±4.8 years of age, 31.0±5.0kg/m"2) elderly women with metabolic syndrome and 33 (68.8±5.6 years of age, 27.2±5.3kg/m"2) sedentary control elderly women. They were submitted to an evaluation of body composition by means of dual-energy X-ray absorptiometry and muscle strength testing with 10 maximal repetitions of knee extension. When compared to the elderly women without metabolic syndrome, those with the metabolic syndrome had higher levels for body mass (72.2±13.5 versus 63.4±14.6kg, p=0.03), body mass index (31.0±5.0 versus 27.2±5.3kg/m"2", p=0.007), fat mass (30.9±9.9 versus 24.4±8.5kg, p=0.01), systolic arterial pressure (125.1±8.2 versus 119.3±8.7mmHg, p=0.01), diastolic arterial pressure (75.5±6.9 versus 71.4±6.7mmHg, p=0.03), mean arterial pressure (92.5±6.2 versus 87.1±6.7mmHg, p=0.004), blood glucose (103.8±19.1 versus 91.1±5.9mg/dL, p=0.001), triglycerides (187.1±70.2 versus 116.3±36.7mg/dL, p=0.001), and creatine kinase (122.6±58.6 versus 89.8±32.5U/L, p=0.01); lower levels were found for fat-free mass (55.9±5.8 versus 59.3±6.7%; p=0.05), HDL-C (40.7±5.0 versus 50.5±10.1mg/dL, p=0.001), and relative muscle strength (0.53±0.14 versus 0.62±0.12, p=0.01). Elderly women with metabolic syndrome have a higher cardiovascular risk and less relative muscle strength when compared to those without metabolic syndrome. Relative muscle strength may be related to the cardiovascularr risk factors of the metabolic syndrome

  1. National and subnational mortality effects of metabolic risk factors and smoking in Iran: a comparative risk assessment

    Directory of Open Access Journals (Sweden)

    Farzadfar Farshad

    2011-10-01

    Full Text Available Abstract Background Mortality from cardiovascular and other chronic diseases has increased in Iran. Our aim was to estimate the effects of smoking and high systolic blood pressure (SBP, fasting plasma glucose (FPG, total cholesterol (TC, and high body mass index (BMI on mortality and life expectancy, nationally and subnationally, using representative data and comparable methods. Methods We used data from the Non-Communicable Disease Surveillance Survey to estimate means and standard deviations for the metabolic risk factors, nationally and by region. Lung cancer mortality was used to measure cumulative exposure to smoking. We used data from the death registration system to estimate age-, sex-, and disease-specific numbers of deaths in 2005, adjusted for incompleteness using demographic methods. We used systematic reviews and meta-analyses of epidemiologic studies to obtain the effect of risk factors on disease-specific mortality. We estimated deaths and life expectancy loss attributable to risk factors using the comparative risk assessment framework. Results In 2005, high SBP was responsible for 41,000 (95% uncertainty interval: 38,000, 44,000 deaths in men and 39,000 (36,000, 42,000 deaths in women in Iran. High FPG, BMI, and TC were responsible for about one-third to one-half of deaths attributable to SBP in men and/or women. Smoking was responsible for 9,000 deaths among men and 2,000 among women. If SBP were reduced to optimal levels, life expectancy at birth would increase by 3.2 years (2.6, 3.9 and 4.1 years (3.2, 4.9 in men and women, respectively; the life expectancy gains ranged from 1.1 to 1.8 years for TC, BMI, and FPG. SBP was also responsible for the largest number of deaths in every region, with age-standardized attributable mortality ranging from 257 to 333 deaths per 100,000 adults in different regions. Discussion Management of blood pressure through diet, lifestyle, and pharmacological interventions should be a priority in Iran

  2. Metabolism and thermoregulation of individual and clustered long ...

    African Journals Online (AJOL)

    metabolism were measured for euthermiC bats at air temperatures higher than those available to them in their ... drains in Grahamstown, South Africa (33°38'S. 26(131 'E). ... was passed through a Carbosorb/silica gel tube to absorb car-.

  3. Serum 25(OHD is inversely associated with metabolic syndrome risk profile among urban middle-aged Chinese population

    Directory of Open Access Journals (Sweden)

    Yin Xiao

    2012-09-01

    Full Text Available Abstract Background Vitamin D deficiency is associated with a variety of chronic metabolic diseases. Limited evidence regarding vitamin D deficiency exists within the Chinese population. The present study aims to examine the association between serum vitamin D concentrations and cardiometabolic risk factors in the young and middle-aged, urban Chinese population Methods The cross-sectional relationships between serum 25-hydroxyvitamin D [25(OHD] concentrations and indices of adiposity and cardiometabolic risk factors (e.g., body mass index, waist circumference, fasting plasma glucose, etc. were evaluated in 601 non-diabetic adults. Result Vitamin D deficiency or insufficiency was present in 66% of the tested population, and serum 25(OHD levels were lower in patients who were overweight/obese or suffered metabolic syndrome when compared to individuals of healthy weight without metabolic syndrome (24.08 ± 8.08 vs 31.70 ± 11.77 ng/ml, 21.52 ± 6.9 vs 31.74 ± 10.21 ng/ml respectively. 25(OHD was inversely associated with waist circumference, fasting glucose, fasting insulin, triglycerides and LDL-cholesterol, and it was positively associated with HDL-cholesterol in a multivariable-adjusted regression model. Conclusion Vitamin D deficiency is common in the young and middle-aged, urban Chinese population, with high prevalence in overweight/obese individuals and patients with metabolic syndrome. Low vitamin D concentration was associated with indices of adiposity and cardiometabolic risk factors. Further studies are warranted to elucidate the cause-effect relation between vitamin D status, obesity and related metabolic disorders. Trial registration Current Controlled Trials (ISRCTN21527585

  4. Association of neural tube defects in children of mothers with MTHFR 677TT genotype and abnormal carbohydrate metabolism risk: a case-control study.

    Science.gov (United States)

    Cadenas-Benitez, N M; Yanes-Sosa, F; Gonzalez-Meneses, A; Cerrillos, L; Acosta, D; Praena-Fernandez, J M; Neth, O; Gomez de Terreros, I; Ybot-González, P

    2014-03-26

    Abnormalities in maternal folate and carbohydrate metabolism have both been shown to induce neural tube defects (NTD) in humans and animal models. However, the relationship between these two factors in the development of NTDs remains unclear. Data from mothers of children with spina bifida seen at the Unidad de Espina Bífida del Hospital Infantil Virgen del Rocío (case group) were compared to mothers of healthy children with no NTD (control group) who were randomly selected from patients seen at the outpatient ward in the same hospital. There were 25 individuals in the case group and 41 in the control group. Analysis of genotypes for the methylenetetrahydrofolate reductase (MTHFR) 677CT polymorphism in women with or without risk factors for abnormal carbohydrate metabolism revealed that mothers who were homozygous for the MTHFR 677TT polymorphism and at risk of abnormal carbohydrate metabolism were more likely to have offspring with spina bifida and high levels of homocysteine, compared to the control group. The increased incidence of NTDs in mothers homozygous for the MTHFR 677TT polymorphism and at risk of abnormal carbohydrate metabolism stresses the need for careful metabolic screening in pregnant women, and, if necessary, determination of the MTHFR 677CT genotype in those mothers at risk of developing abnormal carbohydrate metabolism.

  5. Metabolically Healthy Obesity and Ischemic Heart Disease

    DEFF Research Database (Denmark)

    Hansen, Louise; Netterstrom, Marie K.; Johansen, Nanna B.

    2017-01-01

    Context: Recent studies have suggested that a subgroup of obese individuals is not at increased risk of obesity-related complications. This subgroup has been referred to as metabolically healthy obese. Objective: To investigate whether obesity is a risk factor for development of ischemic heart...... risk factors (low high-density lipoprotein cholesterol, elevated blood pressure, triglycerides, and fasting plasma glucose). Metabolically healthy individuals were defined as having no metabolic risk factors, and metabolically unhealthy individuals were defined as having a minimum of one. Main Outcome...... Measures: IHD. Results: During follow-up, 323 participants developed IHD. Metabolically healthy obese men had increased risk of IHD compared with metabolically healthy normal-weight men [hazard ratio (HR), 3.1; 95% confidence interval (CI), 1.1 to 8.2)]. The corresponding results for women were less...

  6. Metabolic Syndrome

    Science.gov (United States)

    Metabolic syndrome is a group of conditions that put you at risk for heart disease and diabetes. These conditions ... agree on the definition or cause of metabolic syndrome. The cause might be insulin resistance. Insulin is ...

  7. Biomarkers related to one-carbon metabolism as potential risk factors for distal colorectal adenomas

    NARCIS (Netherlands)

    Vogel, S. de; Schneede, J.; Ueland, P.M.; Vollset, S.E.; Meyer, K.; Fredriksen, A.; Midttun, O.; Bjorge, T.; Kampman, E.; Bretthauer, M.; Hoff, G.

    2011-01-01

    BACKGROUND: Efficient one-carbon metabolism, which requires adequate supply of methyl group donors and B-vitamins, may protect against colorectal carcinogenesis. However, plasma folate and vitamins B2 and B12 have inconsistently been associated with colorectal cancer risk, and there have been no

  8. Biomarkers Related to One-Carbon Metabolism as Potential Risk Factors for Distal Colorectal Adenomas

    NARCIS (Netherlands)

    Vogel, de S.; Schneede, J.; Ueland, P.M.; Vollset, S.E.; Meyer, K.; Fredriksen, A.; Midttun, O.; Bjorge, T.; Kampman, E.; Bretthauer, M.; Hoff, G.

    2011-01-01

    Background: Efficient one-carbon metabolism, which requires adequate supply of methyl group donors and B-vitamins, may protect against colorectal carcinogenesis. However, plasma folate and vitamins B2 and B12 have inconsistently been associated with colorectal cancer risk, and there have been no

  9. Isoeugenol monooxygenase and its putative regulatory gene are located in the eugenol metabolic gene cluster in Pseudomonas nitroreducens Jin1.

    Science.gov (United States)

    Ryu, Ji-Young; Seo, Jiyoung; Unno, Tatsuya; Ahn, Joong-Hoon; Yan, Tao; Sadowsky, Michael J; Hur, Hor-Gil

    2010-03-01

    The plant-derived phenylpropanoids eugenol and isoeugenol have been proposed as useful precursors for the production of natural vanillin. Genes involved in the metabolism of eugenol and isoeugenol were clustered in region of about a 30 kb of Pseudomonas nitroreducens Jin1. Two of the 23 ORFs in this region, ORFs 26 (iemR) and 27 (iem), were predicted to be involved in the conversion of isoeugenol to vanillin. The deduced amino acid sequence of isoeugenol monooxygenase (Iem) of strain Jin1 had 81.4% identity to isoeugenol monooxygenase from Pseudomonas putida IE27, which also transforms isoeugenol to vanillin. Iem was expressed in E. coli BL21(DE3) and was found to lead to isoeugenol to vanillin transformation. Deletion and cloning analyses indicated that the gene iemR, located upstream of iem, is required for expression of iem in the presence of isoeugenol, suggesting it to be the iem regulatory gene. Reverse transcription, real-time PCR analyses indicated that the genes involved in the metabolism of eugenol and isoeugenol were differently induced by isoeugenol, eugenol, and vanillin.

  10. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013

    NARCIS (Netherlands)

    Forouzanfar, M.H.; Alexander, L.; Ross Anderson, H.; Geleijnse, J.M.

    2015-01-01

    Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for

  11. [Metabolic syndrome and risk factors associated with life style among adolescents in a city in Argentina, 2005].

    Science.gov (United States)

    Pedrozo, Williams; Rascón, María Castillo; Bonneau, Graciela; de Pianesi, María Ibáñez; Olivera, Carlos Castro; de Aragón, Sonia Jiménez; Ceballos, Blanca; Gauvry, Gabriela

    2008-09-01

    To determine the prevalence of metabolic syndrome among adolescents in a city in Argentina and to establish its association with certain risk factors linked to life style. Cross-sectional study of a representative sample of 532 middle and high school students from 11-20 years of age (mean: 15.3 years; females: 60%) in the city of Posadas, province of Misiones, Argentina, from July-October 2005. Surveys were conducted of individuals' dietary habits, anthropometric measurements, sedentary levels, blood pressure readings, and laboratory results. Metabolic syndrome was diagnosed if three or more of the following conditions were present: fasting glucose > or = 110 mg/dL; triglycerides > or = 110 mg/dL; HDL cholesterol 90th percentile; and waist circumference > 90th percentile. The prevalence of metabolic syndrome was 4.5%; significantly higher among males than among females (7.5% vs. 2.5%; P = 0.006) and among the 15-20 year old age group than among the 11-14 year old group (6.3% vs. 2.5%; P = 0.037). Of the adolescents, 44.7% had one or more components of metabolic syndrome. The risk of metabolic syndrome among obese adolescents was elevated (odds ratio = 119.73; 95% confidence interval: 27.6-519.41). Dietary habits and frequency of food consumption were similar among students with and without metabolic syndrome; however, the first group consumed fattening foods more frequently. Of all the adolescents in the sample, 84.8% were sedentary (100% of those with metabolic syndrome). In the city of Posadas, some 1 400 students suffer from metabolic syndrome and about 13 000 have at least one metabolic syndrome component. Joint efforts by the state government and the community are needed to change dietary habits and increase physical activity, mainly among boys, those 15-20 years of age, and the obese, to reverse the situation and reduce the morbidity/mortality that results from metabolic syndrome.

  12. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013

    DEFF Research Database (Denmark)

    Forouzanfar, Mohammad H.; Alexander, Lily; Anderson, H. Ross

    2015-01-01

    Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the fi rst of a series of annual updates of the GBD. Risk factor quantifi cation, particularly of modifi able risk factors, can help to identify emerging threats to population health and opportunities for ...

  13. Beneficial effects of the Mediterranean diet on metabolic syndrome.

    Science.gov (United States)

    Grosso, Giuseppe; Mistretta, Antonio; Marventano, Stefano; Purrello, Agata; Vitaglione, Paola; Calabrese, Giorgio; Drago, Filippo; Galvano, Fabio

    2014-01-01

    The metabolic syndrome (MetS) represents a cluster of medical disorders, such as hyperglycemia, dyslipidemia, hypertension, and abdominal obesity that, when occurring together, increase the risk of developing cardiovascular disease. The role of food and nutrients in the aetiology of chronic diseases has become clearer over the last 15 years. In this review we collected evidence on the beneficial impact of the Mediterranean diet on MetS by analyzing epidemiological reports documenting its prevalence in subjects who have adopted this dietary pattern. We also explored the role of the individual components of the diet on the specific aspects characterizing the MetS (i.e. metabolic indices, body weight and blood pressure). There is ample evidence showing that subjects adherent to the Mediterranean diet have lower prevalence and incidence rates of MetS than non-adherent. Moreover, it has been widely documented that specific components of this dietary pattern play a role in the prevention of several morbid conditions related to the MetS.

  14. Metabolic syndrome, diet and exercise.

    Science.gov (United States)

    De Sousa, Sunita M C; Norman, Robert J

    2016-11-01

    Polycystic ovary syndrome (PCOS) is associated with a range of metabolic complications including insulin resistance (IR), obesity, dyslipidaemia, hypertension, obstructive sleep apnoea (OSA) and non-alcoholic fatty liver disease. These compound risks result in a high prevalence of metabolic syndrome and possibly increased cardiovascular (CV) disease. As the cardiometabolic risk of PCOS is shared amongst the different diagnostic systems, all women with PCOS should undergo metabolic surveillance though the precise approach differs between guidelines. Lifestyle interventions consisting of increased physical activity and caloric restriction have been shown to improve both metabolic and reproductive outcomes. Pharmacotherapy and bariatric surgery may be considered in resistant metabolic disease. Issues requiring further research include the natural history of PCOS-associated metabolic disease, absolute CV risk and comparative efficacy of lifestyle interventions. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. Patient clusters in acute, work-related back pain based on patterns of disability risk factors.

    Science.gov (United States)

    Shaw, William S; Pransky, Glenn; Patterson, William; Linton, Steven J; Winters, Thomas

    2007-02-01

    To identify subgroups of patients with work-related back pain based on disability risk factors. Patients with work-related back pain (N = 528) completed a 16-item questionnaire of potential disability risk factors before their initial medical evaluation. Outcomes of pain, functional limitation, and work disability were assessed 1 and 3 months later. A K-Means cluster analysis of 5 disability risk factors (pain, depressed mood, fear avoidant beliefs, work inflexibility, and poor expectations for recovery) resulted in 4 sub-groups: low risk (n = 182); emotional distress (n = 103); severe pain/fear avoidant (n = 102); and concerns about job accommodation (n = 141). Pain and disability outcomes at follow-up were superior in the low-risk group and poorest in the severe pain/fear avoidant group. Patients with acute back pain can be discriminated into subgroups depending on whether disability is related to pain beliefs, emotional distress, or workplace concerns.

  16. [Association between daily lifestyle and the risk of metabolic syndrome among young adults in Japan. An analysis of Kobe city young adult health examination data].

    Science.gov (United States)

    Soga, Youji; Shirai, Chika; Ijichi, Akihiro

    2013-02-01

    Appropriate lifestyle modifications through health guidance and other methods are known to be effective in preventing lifestyle-related diseases. Furthermore, early intervention is key. To examine the association between daily lifestyle and the risk of metabolic syndrome among young adults in Japan, we analyzed data from the Kobe City Young Adult Health Examination. We examined 4,912 adults aged 30 to 39 years to identify the association between daily lifestyle and the risk of metabolic syndrome. Daily lifestyle was assessed from 11 lifestyle-related items in the questionnaire administered during the health exam. The Standard Health Exam and Guidance Program by the Ministry of Health and Labor was used to determine the risks of abdominal obesity, hypertension, diabetes, and hypercholesterolemia. Having a risk related to metabolic syndrome was defined as having a risk of abdominal obesity combined with a risk of hypertension, diabetes, or hypercholesterolemia. We also evaluated the stages of behavioral change in those who possessed a risk of metabolic syndrome, as well as their willingness to receive health guidance. Eating quickly had a significantly greater association with-risk of metabolic syndrome, for both sexes, than eating slowly or at a normal pace. For women, smoking, skipping breakfast more than three days a week, and eating supper within two hours before going to bed for more than three days a week were associated with risk of metabolic syndrome. A multiple regression analysis showed that skipping breakfast (P adults in their thirties in Kobe, irregular eating habits seemed to be associated with risk of metabolic syndrome. Furthermore, their intention to/awareness of the need to change their behavior and their willingness to receive health guidance were rather strong. Thus, for the "Tokutei kenshin (specific national health checkup system)" to achieve its objective of preventing lifestyle-related diseases more effectively than at present, the target

  17. Metabolic syndrome presenting as abdominal pain

    Directory of Open Access Journals (Sweden)

    Mohammed Y Al-Dossary

    2017-01-01

    Full Text Available Metabolic syndrome represents a sum of risk factors that lead to the occurrence of cardiovascular and cerebrovascular events. The early detection of metabolic syndrome is extremely important in adults who are at risk. Although the physiopathological mechanisms of the metabolic syndrome are not yet clear, insulin resistance plays a key role that could explain the development of type 2 diabetes mellitus in untreated metabolic syndrome patients. Here, we present the case of a 26-year-old male who was diagnosed with metabolic syndrome and severe hypertriglyceridemia after presenting with abdominal pain. Although hypertriglyceridemia and hyperglycemia are the most common predictors of metabolic syndrome, clinicians need to be vigilant for unexpected presentations in patients at risk for metabolic syndrome. This case sheds light on the importance of early detection.

  18. Low Physical Activity Level and Short Sleep Duration Are Associated with an Increased Cardio-Metabolic Risk Profile: A Longitudinal Study in 8-11 Year Old Danish Children

    DEFF Research Database (Denmark)

    Hjorth, Mads F.; Chaput, Jean-Philippe; Damsgaard, Camilla T.

    2014-01-01

    Background: As cardio-metabolic risk tracks from childhood to adulthood, a better understanding of the relationship between movement behaviors (physical activity, sedentary behavior and sleep) and cardio-metabolic risk in childhood may aid in preventing metabolic syndrome (MetS) in adulthood. Obj...

  19. Coffee intake and risk of obesity, metabolic syndrome and type 2 diabetes

    DEFF Research Database (Denmark)

    Nordestgaard, Ask Tybjærg; Thomsen, Mette; Nordestgaard, Børge Grønne

    2015-01-01

    convincingly with obesity, metabolic syndrome, type 2 diabetes, body mass index, waist circumference, weight, height, systolic/diastolic blood pressure, triglycerides, total cholesterol, high-density lipoprotein cholesterol or glucose levels. Per-allele meta-analysed odds ratios for type 2 diabetes were 1....../diastolic blood pressure, triglycerides and total cholesterol and with low high-density lipoprotein cholesterol, but not with glucose levels. In genetic analyses, 9-10 vs 0-3 coffee-intake alleles were associated with 29% higher coffee intake. However, genetically derived high coffee intake was not associated...... to 78,021 additional individuals from the DIAGRAM consortium. RESULTS: Observationally, high coffee intake was associated with low risk of obesity, metabolic syndrome and type 2 diabetes. Further, high coffee intake was associated with high body mass index, waist circumference, weight, height, systolic...

  20. Altered sterol metabolism in budding yeast affects mitochondrial iron-sulfur (Fe-S) cluster synthesis.

    Science.gov (United States)

    Ward, Diane M; Chen, Opal S; Li, Liangtao; Kaplan, Jerry; Bhuiyan, Shah Alam; Natarajan, Selvamuthu K; Bard, Martin; Cox, James E

    2018-05-17

    Ergosterol synthesis is essential for cellular growth and viability of the budding yeast Saccharomyces cerevisiae, and intracellular sterol distribution and homeostasis are therefore highly regulated in this species. Erg25 is an iron-containing C4-methyl sterol oxidase that contributes to the conversion of 4,4-dimethylzymosterol to zymosterol, a precursor of ergosterol. The ERG29 gene encodes an endoplasmic reticulum (ER)-associated protein, and here we identified a role for Erg29 in the methyl sterol oxidase step of ergosterol synthesis. ERG29 deletion resulted in lethality in respiring cells, but respiration-incompetent (Rho- or Rho0) cells survived, suggesting that Erg29 loss leads to accumulation of oxidized sterol metabolites that affect cell viability. Down-regulation of ERG29 expression in Δerg29 cells indeed led to accumulation of methyl sterol metabolites, resulting in increased mitochondrial oxidants and a decreased ability of mitochondria to synthesize iron-sulfur (Fe-S) clusters due to reduced levels of Yfh1, the mammalian frataxin homolog, which is involved in mitochondrial Fe metabolism. Using a high-copy genomic library, we identified suppressor genes that permitted growth of Δerg29 cells on respiratory substrates, and these included genes encoding the mitochondrial proteins Yfh1, Mmt1, Mmt2, and Pet20, which reversed all phenotypes associated with loss of ERG29. Of note, loss of Erg25 also resulted in accumulation of methyl sterol metabolites and also increased mitochondrial oxidants and degradation of Yfh1. We propose that accumulation of toxic intermediates of the methyl sterol oxidase reaction increase mitochondrial oxidants, which affect Yfh1 protein stability. These results indicate an interaction between sterols generated by ER proteins and mitochondrial iron metabolism. Published under license by The American Society for Biochemistry and Molecular Biology, Inc.

  1. Circulating irisin levels are positively associated with metabolic risk factors in sedentary subjects.

    Directory of Open Access Journals (Sweden)

    María Moreno

    Full Text Available A physically active life-style plays an independent role in the protection against type 2 diabetes and cardiovascular diseases. Irisin, a novel exercise-induced myokine, activates thermogenesis in rodents through increasing beige fat cells abundance within white fat. We aimed to investigate circulating irisin levels in association with the degree of physical activity and various metabolic parameters in humans.Circulating irisin levels (ELISA and metabolic parameters were analyzed in 428 subjects (195 men/233 women. Participants were classified according to their self-reported physical activity and to their area of residence.Circulating irisin levels were higher in active than in sedentary subjects (p = 0.006. Rural inhabitants showed higher circulating irisin levels than urban subjects (p < 0.0001. The increase in irisin levels related to an active lifestyle was only observed in rural citizens (p = 0.014. Among sedentary participants, irisin levels were positively associated with metabolic risk factors (BMI, fasting insulin, HOMA and fasting triglycerides. The area of residence (β = - 0.592, p = < 0.0001 contributed independently to circulating irisin levels variance after controlling for age, gender, BMI, HOMAIR, triglycerides and physical activity.In sedentary participants, circulating irisin levels were positively associated with parameters related to an increased cardiometabolic risk. The present study confirmed that an active lifestyle increases circulating irisin levels, but only among subjects living in a rural environment. Area of residence might be a determinant of irisin levels.

  2. Subcutaneous to visceral fat ratio: a possible risk factor for metabolic syndrome and cardiovascular diseases

    Directory of Open Access Journals (Sweden)

    Shafqat MN

    2018-04-01

    Full Text Available Muhammad Nabeel Shafqat,1 Miqdad Haider,2 1Department of Medicine, University of Medical Sciences “Serafin Ruiz de Zarate” Villa Clara (UCMVC, Villa Clara, Cuba; 2Department of Internal Medicine, Fatima Memorial Hospital, Fatima Memorial College of Medicine and Dentistry, Lahore, PakistanWe would like to comment, with great interest, about the recently published article “Visceral-to-subcutaneous fat ratio as a predictor of the multiple metabolic risk factors for subjects with normal waist circumference in Korea” by Oh et al,1 which we found very interesting and valuable. This study is a good step to determine the predictive value of visceral-to-subcutaneous fat ratio (VSR in persons with normal waist circumference for the diagnosis of risk factors for metabolic syndrome.View the original paper by Oh and colleagues.

  3. Cardiovascular and metabolic syndrome risk among men with and without erectile dysfunction: case-control study

    OpenAIRE

    Zambon, João Paulo; Mendonça, Rafaela Rosalba de; Wroclawski, Marcelo Langer; Karam Junior, Amir; Santos, Raul D.; Carvalho, José Antonio Maluf de; Wroclawski, Eric Roger

    2010-01-01

    CONTEXT AND OBJECTIVE: Erectile dysfunction has been associated with cardiovascular diseases. The aim here was to evaluate cardiovascular risk through the Framingham Risk Score (FRS) criteria, C-reactive protein (CRP) assays and presence of metabolic syndrome (MS) in men with and without erectile dysfunction diagnosed within a healthcare program. DESIGN AND SETTING: A retrospective case-control study was conducted. The patients were selected from a healthcare program at the Hospital Israelita...

  4. Metabolic Syndrome and Insulin Resistance: Underlying Causes and Modification by Exercise Training

    Science.gov (United States)

    Roberts, Christian K.; Hevener, Andrea L.; Barnard, R. James

    2014-01-01

    Metabolic syndrome (MS) is a collection of cardiometabolic risk factors that includes obesity, insulin resistance, hypertension, and dyslipidemia. Although there has been significant debate regarding the criteria and concept of the syndrome, this clustering of risk factors is unequivocally linked to an increased risk of developing type 2 diabetes and cardiovascular disease. Regardless of the true definition, based on current population estimates, nearly 100 million have MS. It is often characterized by insulin resistance, which some have suggested is a major underpinning link between physical inactivity and MS. The purpose of this review is to: (i) provide an overview of the history, causes and clinical aspects of MS, (ii) review the molecular mechanisms of insulin action and the causes of insulin resistance, and (iii) discuss the epidemiological and intervention data on the effects of exercise on MS and insulin sensitivity. PMID:23720280

  5. College Students' Health Behavior Clusters: Differences by Sex.

    Science.gov (United States)

    Colby, Sarah; Zhou, Wenjun; Sowers, Morgan F; Shelnutt, Karla; Olfert, Melissa D; Morrell, Jesse; Koenings, Mallory; Kidd, Tandalayo; Horacek, Tanya M; Greene, Geoffrey W; Brown, Onikia; White, Adrienne A; Hoerr, Sharon L; Byrd-Bredbenner, Carol; Kattelmann, Kendra K

    2017-07-01

    The study purpose was to identify clusters of weight-related behaviors by sex in a college student populations. We conducted secondary data analysis from online surveys and physical assessments collected in Project Young Adults Eating and Active for Health (YEAH) with a convenience sample of students on 13 college campuses in the United States. We performed 2-step cluster analysis by sex to identify subgroups with homogeneous characteristics and behaviors. We used 8 derivation variables: healthy eating; eating restraints; external cues; stress; fruit/vegetable intake; calories from fat; calories from sugar-sweetened beverages; and physical activity. Contribution of derivation variables to clusters was analyzed with a MANOVA test. Data from 1594 students were included. Cluster analysis revealed 2-clusters labeled "Healthful Behavior" and "At-risk" for males and females with an additional "Laid Back" cluster for males. "At-risk" clusters had the highest BMI, waist circumference, elevated health risk, and stress and least healthy dietary intake and physical activity. The "Laid Back" cluster had normal weights and the lowest restrained eating, external cues sensitivity, and stress. Identified differences in characteristics and attitudes towards weight-related behaviors between males and females can be used to tailor weight management programs.

  6. Snacking between main meals is associated with a higher risk of metabolic syndrome in a Mediterranean cohort: the SUN Project (Seguimiento Universidad de Navarra)

    OpenAIRE

    Martinez-Gonzalez, M.A. (Miguel Ángel); Lopez-Iracheta, R. (Roberto); Zazpe, I. (Itziar); Sayon-Orea, C. (Carmen); Gea, A. (Alfredo); Bes-Rastrollo, M. (Maira); Pimenta, A.M. (Adriano Marçal)

    2015-01-01

    OBJECTIVE: To evaluate the association of snacking between main meals with the risk of developing metabolic syndrome. DESIGN: A dynamic prospective cohort study (the SUN Project; Seguimiento Universidad de Navarra). Snack consumption was evaluated using the question: 'Do you have the habit of snacking between main meals?' Metabolic syndrome was defined according to the updated harmonizing criteria. We estimated multivariable-adjusted relative risks (RR) of metabolic syndrome and th...

  7. Nurse health and lifestyle modification versus standard care in 40 to 70 year old regional adults: study protocol of the Management to Optimise Diabetes and mEtabolic syndrome Risk reduction via Nurse-led intervention (MODERN) randomized controlled trial.

    Science.gov (United States)

    Carrington, Melinda J; Zimmet, Paul

    2017-12-06

    Metabolic syndrome (MetS), the clustering of multiple leading risk factors, predisposes individuals to increased risk for developing type 2 diabetes and/or cardiovascular disease (CVD). Cardio-metabolic disease risk increases with greater remoteness where specialist services are scarce. Nurse-led interventions are effective for the management of chronic disease. The aim of this clinical trial is to determine whether a nurse-implemented health and lifestyle modification program is more beneficial than standard care to reduce cardio-metabolic abnormalities and future risk of CVD and diabetes in individuals with MetS. MODERN is a multi-centre, open, parallel group randomized controlled trial in regional Victoria, Australia. Participants were self-selected and individuals aged 40 to 70 years with MetS who had no evidence of CVD or other chronic disease were recruited. Those attending a screening visit with any 3 or more risk factors of central obesity, dyslipidemia (high triglycerides or low high density lipoprotein cholesterol) elevated blood pressure and dysglycemia were randomized to either nurse-led health and lifestyle modification (intervention) or standard care (control). The intervention included risk factor management, health education, care planning and scheduled follow-up commensurate with level of risk. The primary cardio-metabolic end-point was achievement of risk factor thresholds to eliminate MetS or minimal clinically meaningful changes for at least 3 risk factors that characterise MetS over 2 year follow-up. Pre-specified secondary endpoints to evaluate between group variations in cardio-metabolic risk, general health and lifestyle behaviours and new onset CVD and type 2 diabetes will be evaluated. Key outcomes will be measured at baseline, 12 and 24 months via questionnaires, physical examinations, pathology and other diagnostic tests. Health economic analyses will be undertaken to establish the cost-effectiveness of the intervention. The MODERN

  8. Cohort study on clustering of lifestyle risk factors and understanding its association with stress on health and wellbeing among school teachers in Malaysia (CLUSTer) – a study protocol

    Science.gov (United States)

    2014-01-01

    Background The study on Clustering of Lifestyle risk factors and Understanding its association with Stress on health and wellbeing among school Teachers in Malaysia (CLUSTer) is a prospective cohort study which aims to extensively study teachers in Malaysia with respect to clustering of lifestyle risk factors and stress, and subsequently, to follow-up the population for important health outcomes. Method/design This study is being conducted in six states within Peninsular Malaysia. From each state, schools from each district are randomly selected and invited to participate in the study. Once the schools agree to participate, all teachers who fulfilled the inclusion criteria are invited to participate. Data collection includes a questionnaire survey and health assessment. Information collected in the questionnaire includes socio-demographic characteristics, participants’ medical history and family history of chronic diseases, teaching characteristics and burden, questions on smoking, alcohol consumption and physical activities (IPAQ); a food frequency questionnaire, the job content questionnaire (JCQ); depression, anxiety and stress scale (DASS21); health related quality of life (SF12-V2); Voice Handicap Index 10 on voice disorder, questions on chronic pain, sleep duration and obstetric history for female participants. Following blood drawn for predefined clinical tests, additional blood and urine specimens are collected and stored for future analysis. Active follow up of exposure and health outcomes will be carried out every two years via telephone or face to face contact. Data collection started in March 2013 and as of the end of March 2014 has been completed for four states: Kuala Lumpur, Selangor, Melaka and Penang. Approximately 6580 participants have been recruited. The first round of data collection and blood sampling is expected to be completed by the end of 2014 with an expected 10,000 participants recruited. Discussion Our study will provide a good basis

  9. Metabolic syndrome and menopause

    Directory of Open Access Journals (Sweden)

    Jouyandeh Zahra

    2013-01-01

    Full Text Available Abstract Background The metabolic syndrome is defined as an assemblage of risk factors for cardiovascular diseases, and menopause is associated with an increase in metabolic syndrome prevalence. The aim of this study was to assess the prevalence of metabolic syndrome and its components among postmenopausal women in Tehran, Iran. Methods In this cross-sectional study in menopause clinic in Tehran, 118 postmenopausal women were investigated. We used the adult treatment panel 3 (ATP3 criteria to classify subjects as having metabolic syndrome. Results Total prevalence of metabolic syndrome among our subjects was 30.1%. Waist circumference, HDL-cholesterol, fasting blood glucose, diastolic blood pressure ,Systolic blood pressure, and triglyceride were significantly higher among women with metabolic syndrome (P-value Conclusions Our study shows that postmenopausal status is associated with an increased risk of metabolic syndrome. Therefore, to prevent cardiovascular disease there is a need to evaluate metabolic syndrome and its components from the time of the menopause.

  10. Analyzing Dynamic Probabilistic Risk Assessment Data through Topology-Based Clustering

    Energy Technology Data Exchange (ETDEWEB)

    Diego Mandelli; Dan Maljovec; BeiWang; Valerio Pascucci; Peer-Timo Bremer

    2013-09-01

    We investigate the use of a topology-based clustering technique on the data generated by dynamic event tree methodologies. The clustering technique we utilizes focuses on a domain-partitioning algorithm based on topological structures known as the Morse-Smale complex, which partitions the data points into clusters based on their uniform gradient flow behavior. We perform both end state analysis and transient analysis to classify the set of nuclear scenarios. We demonstrate our methodology on a dataset generated for a sodium-cooled fast reactor during an aircraft crash scenario. The simulation tracks the temperature of the reactor as well as the time for a recovery team to fix the passive cooling system. Combined with clustering results obtained previously through mean shift methodology, we present the user with complementary views of the data that help illuminate key features that may be otherwise hidden using a single methodology. By clustering the data, the number of relevant test cases to be selected for further analysis can be drastically reduced by selecting a representative from each cluster. Identifying the similarities of simulations within a cluster can also aid in the drawing of important conclusions with respect to safety analysis.

  11. Metabolism and thermoregulation of individual and clustered long ...

    African Journals Online (AJOL)

    Oxygen consumption of individual long-fingered bats, Miniopterus schreibersii, was measured at air temperatures (Tr) between 2 and 42°C and that of clusters of four and six bats between 5 and 30°C. BMR of individuals was estimated to be 2.29 ml O2 g-1 h-1 between 34 and about 38°C. M. schreibersii showed two ...

  12. Clustering of health and risk behaviour in immigrant and indigenous Dutch residents aged 19–40 years

    NARCIS (Netherlands)

    Reijneveld, S.A.; Nieuwenhuijzen, M. van; Klein Velderman, M.; Paulussen, T.W.G.M.; Junger, M.

    2012-01-01

    Objectives Studies on the co-occurrence, ‘clustering’ of health and other risk behaviours among immigrants from non-industrialised countries lack until now. The aim of this study was to compare this clustering in immigrant and indigenous adults. Methods A representative sample (N = 2,982; response

  13. Clustering of risk factors for non-communicable disease and healthcare expenditure in employees with private health insurance presenting for health risk appraisal: a cross-sectional study.

    Science.gov (United States)

    Kolbe-Alexander, Tracy L; Conradie, Jaco; Lambert, Estelle V

    2013-12-21

    The global increase in the prevalence of NCD's is accompanied by an increase in risk factors for these diseases such as insufficient physical activity and poor nutritional habits. The main aims of this research study were to determine the extent to which insufficient physical activity (PA) clustered with other risk factors for non-communicable disease (NCD) in employed persons undergoing health risk assessment, and whether these risk factors were associated with higher healthcare costs. Employees from 68 companies voluntarily participated in worksite wellness days, that included an assessment of self-reported health behaviors and clinical measures, such as: blood pressure (BP), Body Mass Index (BMI), as well as total cholesterol concentrations from capillary blood samples. A risk-related age, 'Vitality Risk Age' was calculated for each participant using an algorithm that incorporated multiplicative pooled relative risks for all cause mortality associated with smoking, PA, fruit and vegetable intake, BMI, BP and cholesterol concentration. Healthcare cost data were obtained for employees (n = 2 789). Participants were 36±10 years old and the most prevalent risk factors were insufficient PA (67%) and BMI ≥ 25 (62%). Employees who were insufficiently active also had a greater number of other NCD risk factors, compared to those meeting PA recommendations (chi2 = 43.55; p employees meeting PA guidelines had significantly fewer visits to their family doctor (GP) (2.5 versus 3.11; p Physical inactivity was associated with clustering of risk factors for NCD in SA employees. Employees with lower BMI, better self-reported health status and readiness to change were more likely to meet the PA guidelines. These employees might therefore benefit from physical activity intervention programs that could result in improved risk profile and reduced healthcare expenditure.

  14. Flibanserin-Stimulated Partner Grooming Reflects Brain Metabolism Changes in Female Marmosets.

    Science.gov (United States)

    Converse, Alexander K; Aubert, Yves; Allers, Kelly A; Sommer, Bernd; Abbott, David H

    2015-12-01

    Female sexual interest and arousal disorder is personally distressing for women. To better understand the mechanism of the candidate therapeutic, flibanserin, we determined its effects on an index of brain glucose metabolism. We hypothesized that chronic treatment with flibanserin would alter metabolism in brain regions associated with serotonergic function and female sexual behavior. In a crossover design, eight adult female common marmosets (Calithrix jacchus) received daily flibanserin or vehicle. After 7-12 weeks of treatment, the glucose metabolism radiotracer [(18) F]fluorodeoxyglucose (FDG) was administered to each female immediately prior to 30 minutes of interaction with her male pairmate, after which females were anesthetized and imaged by positron emission tomography. Whole-brain normalized images were analyzed with anatomically defined regions of interest. Whole-brain voxelwise mapping was used to explore treatment effects. Correlations were examined between alterations in metabolism and pairmate social grooming. Changes in metabolism associated with flibanserin were determined for dorsal raphe, medial prefrontal cortex (mPFC), medial preoptic area of hypothalamus (mPOA), ventromedial nucleus of hypothalamus, and field cornu ammonis 1 (CA1) of the hippocampus. In response to chronic flibanserin, metabolism in mPOA declined, and this reduction correlated with increases in pairmate grooming. A cluster of voxels in frontal cortico-limbic regions exhibited reduced metabolism in response to flibanserin and overlapped with a voxel cluster in which reductions in metabolism correlated with increases in pairmate grooming. Finally, reductions in mPOA metabolism correlated with increases in metabolism in a cluster of voxels in somatosensory cortex. Taken together, these results suggest that flibanserin-induced reductions in female mPOA neural activity increase intimate affiliative behavior with male pairmates. © 2015 International Society for Sexual Medicine.

  15. Clustering of cardiac risk factors associated with the metabolic syndrome and associations with psychosocial distress in a young Asian Indian population.

    Science.gov (United States)

    Suchday, Sonia; Bellehsen, Mayer; Friedberg, Jennifer P; Almeida, Maureen; Kaplan, Erica

    2014-08-01

    The metabolic syndrome is a precursor for coronary heart disease. However, its pathophysiology is not clear, its phenotypic expression may vary by region; also, the phenotypic manifestation may be exacerbated by psychosocial distress and family history. The purpose of the current study was to assess the factor structure of the metabolic syndrome in young urban Asian Indians. Asian Indian youth (N = 112) were evaluated for body mass index (BMI), waist-hip ratio, blood pressure (systolic: SBP; diastolic: DBP), blood sugar, triglycerides, cholesterol, insulin, psychosocial distress and family health history. Factor analyses were computed on components of the metabolic syndrome. Three factors were identified for the entire sample: hemodynamic-obesity (SBP, DBP, waist-hip ratio), Lipid (cholesterol, triglyceride), and insulin-obesity (blood sugar, BMI, insulin). Similar to previous research with this population, three distinct factors with no overlap were identified. Factors did not correlate with psychosocial distress or family history. Lack of correlation with family history and psychosocial distress may be a function of the young age and demographics of the sample.

  16. Metabolic syndrome in the pediatric population: a short overview

    Directory of Open Access Journals (Sweden)

    Natasa Marcun Varda

    2009-06-01

    Full Text Available The metabolic syndrome (MS in adults is defined as a concurrence of obesity, disturbed glucose and insulin metabolism, hypertension and dyslipidemia, and is associated with increased morbidity and mortality from cardiovascular diseases and type 2 diabetes. Studies now indicate that many of its components are also present in children and adolescents. Moreover, the clustering of these risk factors has been documented in some children, who are at increased cardiovascular risk in adulthood. The MS is highly prevalent among overweight children and adolescents. Identifying these children is important for early prevention and treatment of different components of the syndrome. The first-line treatment comprises lifestyle modification consisting of diet and exercise. The most effective tool for prevention of the MS is to stop the development of childhood obesity. The first attempt of consensus-based pediatric diagnostic criteria was published in 2007 by the International Diabetes Federation. Nevertheless, national prevalence data, based on uniform pediatric definition, protocols for prevention, early recognition and effective treatment of pediatric MS are still needed. The aim of this article is to provide a short overview of the diagnosis and treatment options of childhood MS, as well as to present the relationships between MS and its individual components.

  17. The Influence of Lifestyle on Cardio-metabolic Risk in Students from Timisoara University Center

    Directory of Open Access Journals (Sweden)

    Mihaela ORAVIȚAN

    2013-12-01

    Full Text Available This study is a part of the activities in a cross border cooperation project that has proposed the management of obesity and cardiometabolic risk at students from Timisoara and Szeged university centres. The target group of Timisoara University Center was formed out of 600 students enrolled in the four major universities from Timisoara; target group students were questioned about their lifestyle and were evaluated anthropometric parameters, body composition and arterial stiffness; based on questionnaires was determine too the risk of developing cardiovascular disease and/or diabetes mellitus type II. Analysis of the results revealed the strong correlations between lifestyle and cardio-metabolic risk in these students.

  18. Risk assessment of silica nanoparticles on liver injury in metabolic syndrome mice induced by fructose.

    Science.gov (United States)

    Li, Jianmei; He, Xiwei; Yang, Yang; Li, Mei; Xu, Chenke; Yu, Rong

    2018-07-01

    This study aims to assess the effects and the mechanisms of silica nanoparticles (SiNPs) on hepatotoxicity in both normal and metabolic syndrome mouse models induced by fructose. Here, we found that SiNPs exposure lead to improved insulin resistance in metabolic syndrome mice, but markedly worsened hepatic ballooning, inflammation infiltration, and fibrosis. Moreover, SiNPs exposure aggravated liver injury in metabolic syndrome mice by causing serious DNA damage. Following SiNPs exposure, liver superoxide dismutase and catalase activities in metabolic syndrome mice were stimulated, which is accompanied by significantly increased malondialdehyde and 8-hydroxy-2-deoxyguanosine levels as compared to normal mice. Scanning electron microscope (SEM) revealed that SiNPs were more readily deposited in the liver mitochondria of metabolic syndrome mice, resulting in more severe mitochondrial injury as compared to normal mice. We speculated that SiNPs-induced mitochondrial injury might be the cause of hepatic oxidative stress, which further lead to a series of liver lesions as observed in mice following SiNPs exposure. Based on these results, it is likely that SiNPs will increase the risk and severity of liver disease in individuals with metabolic syndrome. Therefore, SiNPs should be used cautiously in food additives and clinical settings. Copyright © 2018 Elsevier B.V. All rights reserved.

  19. Risk factor assessment and counselling for 12 months reduces metabolic and cardiovascular risk in overweight or obese patients with schizophrenia spectrum disorders: The CRESSOB study.

    Science.gov (United States)

    Gutiérrez-Rojas, Luis; Pulido, Susana; Azanza, Jose R; Bernardo, Miguel; Rojo, Luis; Mesa, Francisco J; Martínez-Ortega, Jose M

    2016-01-01

    Metabolic syndrome (MS) and cardiovascular risk factors (CRF) have been associated with patients with schizophrenia. The main objective is to assess the evolution of CRF and prevalence of MS for 12 months in a cohort of overweight patients diagnosed with schizophrenia schizophreniform disorder or schizoaffective disorder in which the recommendations for the assessment and control of metabolic and cardiovascular risk were applied. The Control of Metabolic and Cardiovascular Risk in Patients with Schizophrenia and Overweight (CRESSOB) study is a 12-month, observational, prospective, open-label, multicentre, naturalistic study including 109 community mental health clinics of Spain. The study included a total of 403 patients, of whom we could collect all variables related to CRF and MS in 366 patients. Of these 366 patients, 286 completed the follow-up, (baseline, months 3, 6 and 12) where they underwent a complete physical examination and a blood test (glucose, cholesterol and triglycerides), they were asked about their health-related habits (smoking, diet and exercise) and they were given a series of recommendations to prevent cardiovascular risk and MS. A total of 403 patients were included, 63% men, mean age (mean; (SD)) 40.5 (10.5) years. After 12 months, the study showed statistically significant decrease in weight (prisk of heart disease at 10 years (p=0.0353). Overweight patients with schizophrenia who receive appropriate medical care, including CRF monitoring and control of health-related habits experience improvements with regard to most CRFs.

  20. Criteria of waist circumference according to computed tomography-measured visceral fat area and the clustering of cardiovascular risk factors

    International Nuclear Information System (INIS)

    Kashihara, Hidetoshi; Tamura, Masaki; Lee, J.S.; Akabayashi, Akira; Kawakubo, Kiyoshi

    2009-01-01

    The purpose of this study was to determine the discriminate gender-specific cutoff values of waist circumference (WC) for detecting the clustering of cardiovascular risk factors (CCRF), which reflects the intra-abdominal visceral fat area (VFA) using a large Japanese population. The study population consisted of 6,736 men and women who underwent a periodic health check-up and had a computed tomography scan for VFA measurement at the PL Tokyo Health Care Center in Tokyo, Japan. The CCRF was defined according to the Japanese Committee of the Criteria for Metabolic Syndrome. The discriminate values for detecting the CCRF were tested using receiver operating characteristics analysis. The discriminate values of VFA were 103.0 cm 2 with 68.7% sensitivity and 61.8% specificity for men and 69.0 cm 2 with 80.8% sensitivity and 70.0% specificity for women. The WC values corresponding to the VFA were 89.1 cm for men and 86.3 cm for women. The discriminate values of VFA and WC were not substantially different between people with or without raised blood pressure. For the early detection and management of the CCRF and VFA in the primary screening setting, the discriminate and convenient gender-specific WC criteria would be 90 cm for men and 85 cm for women. (author)

  1. Effects of Low-Carbohydrate Diets Versus Low-Fat Diets on Metabolic Risk Factors: A Meta-Analysis of Randomized Controlled Clinical Trials

    Science.gov (United States)

    Hu, Tian; Mills, Katherine T.; Yao, Lu; Demanelis, Kathryn; Eloustaz, Mohamed; Yancy, William S.; Kelly, Tanika N.; He, Jiang; Bazzano, Lydia A.

    2012-01-01

    The effects of low-carbohydrate diets (≤45% of energy from carbohydrates) versus low-fat diets (≤30% of energy from fat) on metabolic risk factors were compared in a meta-analysis of randomized controlled trials. Twenty-three trials from multiple countries with a total of 2,788 participants met the predetermined eligibility criteria (from January 1, 1966 to June 20, 2011) and were included in the analyses. Data abstraction was conducted in duplicate by independent investigators. Both low-carbohydrate and low-fat diets lowered weight and improved metabolic risk factors. Compared with participants on low-fat diets, persons on low-carbohydrate diets experienced a slightly but statistically significantly lower reduction in total cholesterol (2.7 mg/dL; 95% confidence interval: 0.8, 4.6), and low density lipoprotein cholesterol (3.7 mg/dL; 95% confidence interval: 1.0, 6.4), but a greater increase in high density lipoprotein cholesterol (3.3 mg/dL; 95% confidence interval: 1.9, 4.7) and a greater decrease in triglycerides (−14.0 mg/dL; 95% confidence interval: −19.4, −8.7). Reductions in body weight, waist circumference and other metabolic risk factors were not significantly different between the 2 diets. These findings suggest that low-carbohydrate diets are at least as effective as low-fat diets at reducing weight and improving metabolic risk factors. Low-carbohydrate diets could be recommended to obese persons with abnormal metabolic risk factors for the purpose of weight loss. Studies demonstrating long-term effects of low-carbohydrate diets on cardiovascular events were warranted. PMID:23035144

  2. Metabolic syndrome, insulin resistance and other cardiovascular risk factors in university students

    Directory of Open Access Journals (Sweden)

    José Bonifácio Barbosa

    2016-04-01

    Full Text Available Abstract A cross-sectional population-based study using questionnaire and anthropometric data was conducted on 968 university students of São Luís, Brazil, from which 590 showed up for blood collection. In the statistical analysis the Student t-test, Mann-Whitney and chi-square tests were used. The prevalence of metabolic syndrome by the Joint Interim Statement (JIS criteria was 20.5%, almost three times more prevalent in men (32.2% than in women (13.5% (P < 0.001. The prevalence of insulin resistance was 7.3% and the prevalence of low HDL-cholesterol was high (61.2%, both with no statistically significant differences by sex. Men showed a higher percentage of smoking, overweight, high blood pressure, high blood glucose and increased fasting hypertriglyceridemia. Women were more sedentary. University students of private institutions had higher prevalences of sedentary lifestyle, obesity, abdominal obesity, elevated triglycerides and metabolic syndrome than students from public institutions. High prevalences of metabolic syndrome, insulin resistance and other cardiovascular risk factors were found in this young population. This suggests that the burden of these diseases in the future will be increased.

  3. Marine Omega-3 Fatty Acids, Complications of Pregnancy and Maternal Risk Factors for Offspring Cardio-Metabolic Disease

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    Melinda Phang

    2018-04-01

    Full Text Available Marine omega-3 polyunsaturated fatty acids (n-3 PUFA are important nutrients during periods of rapid growth and development in utero and infancy. Maternal health and risk factors play a crucial role in birth outcomes and subsequently offspring cardio-metabolic health. Evidence from observational studies and randomized trials have suggested a potential association of maternal intake of marine n-3 PUFAs during pregnancy with pregnancy and birth outcomes. However, there is inconsistency in the literature on whether marine n-3 PUFA supplementation during pregnancy can prevent maternal complications of pregnancy. This narrative literature review summarizes recent evidence on observational and clinical trials of marine n-3 PUFA intake on maternal risk factors and effects on offspring cardio-metabolic health. The current evidence generally does not support a role of maternal n-3 PUFA supplementation in altering the incidence of gestational diabetes, pregnancy-induced hypertension, or pre-eclampsia. It may be that benefits from marine n-3 PUFA supplementation are more pronounced in high-risk populations, such as women with a history of complications of pregnancy, or women with low marine n-3 PUFA intake. Discrepancies between studies may be related to differences in study design, dosage, fatty acid interplay, and length of treatment. Further prospective double-blind studies are needed to clarify the impact of long-chain marine n-3 PUFAs on risk factors for cardio-metabolic disease in the offspring.

  4. Chronorisk in cluster headache

    DEFF Research Database (Denmark)

    Barloese, Mads; Haddock, Bryan; Lund, Nunu T

    2018-01-01

    and a spectral analysis identifying oscillations in risk. Results The Gaussian model fit for the chronorisk distribution for all patients reporting diurnal rhythmicity (n = 286) had a goodness of fit R2 value of 0.97 and identified three times of increased risk peaking at 21:41, 02:02 and 06:23 hours....... In subgroups, three to five modes of increased risk were found and goodness of fit values ranged from 0.85-0.99. Spectral analysis revealed multiple distinct oscillation frequencies in chronorisk in subgroups including a dominant circadian oscillation in episodic patients and an ultradian in chronic....... Conclusions Chronorisk in cluster headache can be characterised as a sum of individual, timed events of increased risk, each having a Gaussian distribution. In episodic cluster headache, attacks follow a circadian rhythmicity whereas, in the chronic variant, ultradian oscillations are dominant reflecting...

  5. Relationship between body fat percentage determined by bioelectrical impedance analysis and metabolic risk factors in Syrian male adolescents (18–19 years

    Directory of Open Access Journals (Sweden)

    Al-Bachir Mahfouz

    2017-03-01

    Full Text Available The association between increasing obesity and metabolic syndrome among adolescent and the adverse consequences in adulthood including type-2 diabetes and coronary heart disease is well documented. The main objectives of this study were to evaluate the major metabolic risk factors and some clinical important parameters in Syrian male adolescents (18-19 years old, and to assess the correlations between BF% determined by BIA-man prediction equation and metabolic risk factors in the same group. The correlations between body fat percentage (BF% based on BIA-man predictive equations, blood pressure, fasting blood sugar (FBS, cholesterol (Chol, low density lipoprotein cholesterol (LDL-C, high density lipoprotein cholesterol (HDL-C, triglycerides (TG, Hematocrit (Ht, and hemoglobin (Hb in 1596 healthy Syrian adolescents aged 18-19 years and the mean values of these parameters were examined. Data showed that, DBP, Chol, TG, LDL and TG/HDL-C were significantly (p<0.05 higher in overweight and obese subjects in compression to normal weight cases. Whereas, SBP, FBS and Ht were significantly (p<0.05 higher in obese subjects in compression to normal weight. However, all measured variable related to metabolic syndrome risk factors increased with increasing the BF% determined by BIA-man. The present study suggests that % BF by BIA-man is a good predictor of metabolic risks factors for Syrian adolescents.

  6. Cardiovascular risk factors associated with the metabolic syndrome are more prevalent in people reporting chronic pain: results from a cross-sectional general population study.

    Science.gov (United States)

    Goodson, Nicola J; Smith, Blair H; Hocking, Lynne J; McGilchrist, Mark M; Dominiczak, Anna F; Morris, Andrew; Porteous, David J; Goebel, Andreas

    2013-09-01

    To explore whether chronic pain is associated with cardiovascular risk factors and identify whether increased distribution or intensity of pain is associated with cardiovascular risk, participants in Generation Scotland: The Scottish Family Health study completed pain questionnaires recording the following: presence of chronic pain, distribution of pain, and intensity of chronic pain. Blood pressure, lipids, blood glucose, smoking history, waist-hip ratio, and body mass index were recorded; Framingham 10-year coronary heart disease (CHD) risk scores were calculated and a diagnosis of metabolic syndrome derived. Associations between chronic pain and cardiovascular risk were explored. Of 13,328 participants, 1100 (8.3%) had high CHD risk. Chronic pain was reported by 5209 (39%), 1294 (9.7%) reported widespread chronic pain, and 707 (5.3%) reported high-intensity chronic pain. In age- and gender-adjusted analyses, chronic pain was associated with elevated CHD risk scores (odds ratio 1.11, 95% confidence interval 1.01-1.23) and the metabolic syndrome (odds ratio 1.42, 95% confidence interval 1.24-1.62). Multivariate analyses identified dyslipidaemia, age, gender, smoking, obesity, and high waist-hip ratio as independently associated with chronic pain. Within the chronic pain subgroup, widespread pain did not confer any additional cardiovascular disease risk. However, cardiovascular disease risk factors contributing to metabolic syndrome were more prevalent in those reporting high-intensity chronic pain. This large population-based study has demonstrated that chronic pain, and in particular high-intensity chronic pain, is associated with an increased prevalence of cardiovascular risk factors and metabolic syndrome. The 10-year CHD risk score and metabolic syndrome correlate well with increased pain intensity, but not with widespread pain. Copyright © 2013 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

  7. Prevalence of Metabolic Syndrome according to Sasang Constitutional Medicine in Korean Subjects.

    Science.gov (United States)

    Song, Kwang Hoon; Yu, Sung-Gon; Kim, Jong Yeol

    2012-01-01

    Metabolic syndrome (MS) is a complex disorder defined by a cluster of abdominal obesity, atherogenic dyslipidemia, hyperglycemia, and hypertension; the condition is recognized as a risk factor for diabetes and cardiovascular disease. This study assessed the effects of the Sasang constitution group (SCG) on the risk of MS in Korean subjects. We have analyzed 1,617 outpatients of Korean oriental medicine hospitals who were classified into three SCGs, So-Yang, So-Eum, and Tae-Eum. Significant differences were noted in the prevalence of MS and the frequencies of all MS risk factors among the three SCGs. The odds ratios for MS as determined via multiple logistic regression analysis were 2.004 for So-Yang and 4.521 for Tae-Eum compared with So-Eum. These results indicate that SCG may function as a significant risk factor of MS; comprehensive knowledge of Sasang constitutional medicine may prove helpful in predicting susceptibility and developing preventive care techniques for MS.

  8. Prevalence of Metabolic Syndrome according to Sasang Constitutional Medicine in Korean Subjects

    Directory of Open Access Journals (Sweden)

    Kwang Hoon Song

    2012-01-01

    Full Text Available Metabolic syndrome (MS is a complex disorder defined by a cluster of abdominal obesity, atherogenic dyslipidemia, hyperglycemia, and hypertension; the condition is recognized as a risk factor for diabetes and cardiovascular disease. This study assessed the effects of the Sasang constitution group (SCG on the risk of MS in Korean subjects. We have analyzed 1,617 outpatients of Korean oriental medicine hospitals who were classified into three SCGs, So-Yang, So-Eum, and Tae-Eum. Significant differences were noted in the prevalence of MS and the frequencies of all MS risk factors among the three SCGs. The odds ratios for MS as determined via multiple logistic regression analysis were 2.004 for So-Yang and 4.521 for Tae-Eum compared with So-Eum. These results indicate that SCG may function as a significant risk factor of MS; comprehensive knowledge of Sasang constitutional medicine may prove helpful in predicting susceptibility and developing preventive care techniques for MS.

  9. Evaluation of metabolic syndrome in adults of Talca city, Chile

    Directory of Open Access Journals (Sweden)

    Moore-Carrasco Rodrigo

    2008-05-01

    Full Text Available Abstract Objective- Insulin resistance (IR is an important risk factor for type 2 Diabetes Mellitus (DM2 and cardiovascular disease (CVD. Metabolic Syndrome (MS is a clustering of metabolic alterations associated to IR; however, there is no international consensus for defining its diagnosis. Our objective was to evaluate the prevalence and characteristics of MS identified by the ATP III and IDF criteria in adults from Talca city. Research and methods- We studied 1007 individuals, aged 18–74, and residents from Talca. MS subjects were defined according to ATP III (three altered factors and IDF criteria (patients with waist circumference >80/90 cm (W/M and two others altered factors. Results- The prevalence of metabolic syndrome according to the IDF and ATP III criteria was 36.4% and 29.5%, respectively after adjustment for age and sex. The agreement for both criteria was 89%. The prevalence in men was higher than in women for both MS definitions, although not significant. MS probability increased with age, and the highest risk was in the 57–68 age group (ATP-MS and 53–72 age group (IDF-MS. Hypertension, high triglycerides and abdominal obesity are the most frequent alterations in MS. Conclusion- MS prevalence in adults was higher when diagnosed with IDF than with ATP criterion; in both, age is directly related with the MS presence. The MS subjects showed higher levels of blood pressure, waist circumference and plasma triglycerides. Considering our results, it is worrisome that one third of our population has a high risk of developing DM2 and CVD in the future.

  10. Moderate Activity and Fitness, Not Sedentary Time, Are Independently Associated with Cardio-Metabolic Risk in U.S. Adults Aged 18–49

    Directory of Open Access Journals (Sweden)

    Jeroen H. P. M. van der Velde

    2015-02-01

    Full Text Available This cross-sectional study is one of the first to examine and compare the independent associations of objectively measured sedentary time, moderate to vigorous physical activity (MVPA and fitness with cardio-metabolic risk factors. We studied 543 men and women (aged 18–49 years from the NHANES 2003–2004 survey. Sedentary time and MVPA were measured by accelerometry. Fitness was assessed with a submaximal treadmill test. Cardio-metabolic risk factors included: waist circumference (WC, BMI, blood pressure, fasting glucose, HDL- and non HDL cholesterol, triglycerides (TG, and C-reactive protein (CRP. Sedentary time, MVPA and fitness were used as predictors for the cardio-metabolic outcomes in a multiple regression analysis. Standardized regression coefficients were computed. Results show that sedentary time was associated with HDL-cholesterol (β = −0.080, p = 0.05 and TG (β = 0.080, p = 0.03. These results became non-significant after adjustment for MVPA and fitness. MVPA was associated with WC (β = −0.226, BMI (β = −0.239, TG (β = −0.108 and HDL-cholesterol (β = 0.144 (all p < 0.05. These results remained significant after adjustment for sedentary time and fitness. Fitness was associated with WC (β = −0.287, BMI (β = −0.266, systolic blood pressure (β = −0.159, TG (β = −0.092, and CRP (β = −0.130 (all p < 0.05. After adjustment for sedentary time and MVPA these results remained significant. These differences in relative importance of sedentary time, MVPA and fitness on cardio-metabolic-risk are important in the design of prevention programs. In this population, the strength of the associations between MVPA and fitness with cardio-metabolic markers appeared to be similar; both MVPA and fitness showed independent associations with cardio-metabolic risk factors. In contrast, sedentary time showed no independent associations with cardio-metabolic risk after correction for fitness and MVPA.

  11. Cardiovascular risk factors: Is the metabolic syndrome related to aging? Epidemiology in a Portuguese population.

    Science.gov (United States)

    Ribeiro, Armindo Sousa; Seixas, Rui; Gálvez, Juan Manuel; Climent, Vicente

    2018-05-16

    The primary objective of our study is to determine the prevalence of the metabolic syndrome in the population. The secondary objective is to determine the prevalence of cardiovascular risk factors, anthropometric alterations and the prevalence of target organ damage and their relationship with aging. The sample for the study was obtained by means of a consecutive population-based demonstration in 803 adults over 18 years of age belonging to the labor force of the company Grupo Delta SA. The study was carried out according to the guidelines of the Declaration of Helsinki. The individuals included in the study voluntarily participated, once informed of the purpose of the study, giving their prior verbal consent, to the company's human resources department, in the case of Delta Group workers. 23.8% of the population has metabolic syndrome more prevalent in males, no smoking, no significant alcohol consumption, sedentary, with a high Body mass index (BMI). Its prevalence increases with age. We found that the prevalence of metabolic syndrome increases with age and is present in people of working age, increasing the risk of cardiovascular diseases, work-related absences, and socio-economic costs. Copyright © 2018 Diabetes India. Published by Elsevier Ltd. All rights reserved.

  12. Identification of Ganglioside GM3 Molecular Species in Human Serum Associated with Risk Factors of Metabolic Syndrome.

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    Lucas Veillon

    Full Text Available Serum GM3 molecular species were quantified in 125 Japanese residents using tandem mass spectrometry multiple reaction monitoring. Individuals were categorized by the presence or absence of metabolic disease risk factors including visceral fat accumulation, hyperglycemia and dyslipidemia. A total of 23 GM3 molecular species were measured, of these, eight were found to be significantly elevated in individuals with visceral fat accumulation and metabolic disease, defined as the presence of hyperglycemia and dyslipidemia. All of the GM3 molecular species were composed of the sphingoid base sphingosine (d18:1 (Δ4 and, interestingly, six of the eight elevated GM3 molecular species contained a hydroxylated ceramide moiety. The hydroxylated GM3 species were, in order of decreasing abundance, d18:1-h24:0 ≈ d18:1-h24:1 > d18:1-h22:0 » d18:1-h20:0 > d18:1-h21:0 > d18:1-h18:1. Univariate and multiple linear regression analyses were conducted using a number of clinical health variables associated with obesity, type 2 diabetes, metabolic disease, atherosclerosis and hypertension. GM3(d18:1-h24:1 was identified as the best candidate for metabolic screening, proving to be significantly correlated with intima-media thickness, used for the detection of atherosclerotic disease in humans, and a number of metabolic disease risk factors including autotaxin, LDL-c and homeostatic model assessment insulin resistance (HOMA-IR.

  13. Elucidating the underlying causes of oral cancer through spatial clustering in high-risk areas of Taiwan with a distinct gender ratio of incidence

    Directory of Open Access Journals (Sweden)

    Chi-Ting Chiang

    2010-05-01

    Full Text Available This study aimed to elucidate whether or not high-risk clusters of oral cancer (OC incidence spatially correlate with the prevalence rates of betel quid chewing (BQC and cigarette smoking (CS in Taiwan. The spatial autocorrelation and potential clusters of OC incidence among the 307 townships and heavy metal content of soil throughout Taiwan were identified using the Anselin’s local Moran test. Additionally, the spatial correlations among the incidence of OC, the prevalence of BQC and CS and heavy metal content of soil were determined based on a comparison of spatial clusters. High-risk OC (Moran’s I = 0.638, P <0.001 clusters were located in central and eastern Taiwan, while “hot spots” of BQC and CS prevalence were located mainly in eastern Taiwan. The distributions of BQC and CS lifestyle factors (P <0.001 were spatially autocorrelated. The “hot spots” of OC largely coincided with the “hot spots” of BQC, except for the Changhua and Yunlin counties, which are located in central Taiwan. However, high soil contents of nickel and chromium (P <0.001 in central Taiwan also coincided with the high-risk areas of OC incidence. In particular, Changhua county has incurred several decades of serious heavy-metal pollution, with inhabitants living in polluted areas having high-risk exposure to these metals. Results of this study suggest that, in addition to BQC and CS, anthropogenic pollution may profoundly impact the complexity of OC aetiology in central Taiwan.

  14. Personality traits and childhood trauma as correlates of metabolic risk factors : The Netherlands Study of Depression and Anxiety (NESDA)

    NARCIS (Netherlands)

    Dortland, Arianne K. B. van Reedt; Giltay, Erik J.; van Veen, Tineke; Zitman, Frans G.; Penninx, Brenda W. J. H.

    2012-01-01

    Objective: Personality and childhood trauma may affect cardiovascular disease (CVD) risk. However, evidence for an association with metabolic risk factors for CVD is limited and ambiguous. Moreover, despite their interrelatedness, personality and childhood trauma were not yet studied simultaneously.

  15. Metabolic syndrome and cognitive performance in the elderly

    Directory of Open Access Journals (Sweden)

    Marianna Rinaldi

    2014-01-01

    Full Text Available Metabolic syndrome (MetS is a cluster of conditions, each of which represents a risk factor for cardiovascular disease: central obesity, hyperglycemia, dyslipidemia and hypertension. In different recent studies, MetS has been associated with an accelerate cognitive decline in the elderly. The aim of our research was to investigate the relationship between MetS and cognitive performance in 174 Italian elderly people living in Val Cenischia (Piedmont, Italy. Mini mental state examination (MMSE has been administered to assess the cognitive status of all participants. The prevalence of MetS is 50.3% (51.3 and 49.5% for males and females, respectively. Our results confirm the association between MetS and worse cognitive performance in the elderly: an increased number of MetS components is associated with an increased risk of developing cognitive impairment (odds ratio=1.54; confidence interval 95%:1.04-2.28; P<0.05.

  16. Uric acid: A new look at an old risk marker for cardiovascular disease, metabolic syndrome, and type 2 diabetes mellitus: The urate redox shuttle

    Directory of Open Access Journals (Sweden)

    Tyagi Suresh

    2004-01-01

    Full Text Available Abstract Background The topical role of uric acid and its relation to cardiovascular disease, renal disease, and hypertension is rapidly evolving. Its important role both historically and currently in the clinical clustering phenomenon of the metabolic syndrome (MS, type 2 diabetes mellitus (T2DM, atheroscleropathy, and non-diabetic atherosclerosis is of great importance. Results Uric acid is a marker of risk and it remains controversial as to its importance as a risk factor (causative role. In this review we will attempt to justify its important role as one of the many risk factors in the development of accelerated atherosclerosis and discuss its importance of being one of the multiple injurious stimuli to the endothelium, the arterial vessel wall, and capillaries. The role of uric acid, oxidative – redox stress, reactive oxygen species, and decreased endothelial nitric oxide and endothelial dysfunction cannot be over emphasized. In the atherosclerotic prooxidative environmental milieu the original antioxidant properties of uric acid paradoxically becomes prooxidant, thus contributing to the oxidation of lipoproteins within atherosclerotic plaques, regardless of their origins in the MS, T2DM, accelerated atherosclerosis (atheroscleropathy, or non-diabetic vulnerable atherosclerotic plaques. In this milieu there exists an antioxidant – prooxidant urate redox shuttle. Conclusion Elevations of uric acid > 4 mg/dl should be considered a "red flag" in those patients at risk for cardiovascular disease and should alert the clinician to strive to utilize a global risk reduction program in a team effort to reduce the complications of the atherogenic process resulting in the morbid – mortal outcomes of cardiovascular disease.

  17. Chewing betel quid and the risk of metabolic disease, cardiovascular disease, and all-cause mortality: a meta-analysis.

    Science.gov (United States)

    Yamada, Tomohide; Hara, Kazuo; Kadowaki, Takashi

    2013-01-01

    Betel nut (Areca nut) is the fruit of the Areca catechu tree. Approximately 700 million individuals regularly chew betel nut (or betel quid) worldwide and it is a known risk factor for oral cancer and esophageal cancer. We performed a meta-analysis to assess the influence of chewing betel quid on metabolic diseases, cardiovascular disease, and all-cause mortality. We searched Medline, Cochrane Library, Web of Science, and Science Direct for pertinent articles (including the references) published between 1951 and 2013. The adjusted relative risk (RR) and 95% confidence interval were calculated using the random effect model. Sex was used as an independent category for comparison. Of 580 potentially relevant studies, 17 studies from Asia (5 cohort studies and 12 case-control studies) covering 388,134 subjects (range: 94 to 97,244) were selected. Seven studies (N = 121,585) showed significant dose-response relationships between betel quid consumption and the risk of events. According to pooled analysis, the adjusted RR of betel quid chewers vs. non-chewers was 1.47 (PBetel quid chewing is associated with an increased risk of metabolic disease, cardiovascular disease, and all-cause mortality. Thus, in addition to preventing oral cancer, stopping betel quid use could be a valuable public health measure for metabolic diseases that are showing a rapid increase in South-East Asia and the Western Pacific.

  18. Nursing care in childcare services: Acantose nigricans as a marker for metabolic risk

    Directory of Open Access Journals (Sweden)

    Caroline Evelin Nascimento Kluczynik Vieira

    2013-12-01

    Full Text Available OBJECTIVE: to analyze the association between the presence of Acantose nigricans and metabolic changes in overweight adolescents, so as to ascertain the relevance of the identification of this marker in the nursing consultation. METHOD: a cross-sectional study undertaken between April 2009 and April 2010 with 118 adolescents who were service users of the Center for Child Obesity in Campina Grande in the Brazilian State of Paraíba (PB. The presence of Acantose nigricans, and the subjects' anthropometric measurements, were investigated. The following exams were made: insulin, triglycerides, HDL-Cholesterol, Glucose and the homeostatic model of assessment (HOMA-IR. RESULTS: there was association between the presence of Acantose nigricans and participants with insulin resistance (p=0.008, metabolic syndrome (p=0.031, elevated triglycerides (p=0.045 and altered HDL (p=0.002. CONCLUSIONS: the suggestion is supported that the detection/identification of Acantose nigricans may be used in the nursing consultation as a tool for identifying overweight adolescents with greater risk of metabolic changes.

  19. Ethnicity and genetics are more important than diabetes mellitus and hypertension in producing cardiovascular events in patients with the metabolic syndrome: emphasis in the Puerto Rico population.

    Science.gov (United States)

    Altieri, Pablo I; Marcial, José M; Banchs, Héctor; Escobales, Nelson; Crespo, María

    2013-01-01

    Metabolic syndrome is a cluster of risk factors for cardiovascular disease that affects an estimated 50 million Americans. The present article reviews the metabolic syndrome with respect to its definition, epidemiology, pathophysiology and management. A primary focus in research has been to elucidate the processes determined to cause insulin resistance, the fundamental mechanism underlying the metabolic syndrome. Namely, the incidence, component characteristics and complications of the metabolic syndrome in the island of Puerto Rico are described alongside the fact that the metabolic syndrome may be milder in Puerto Rico than in the mainland United States because it is characterized by less aggressive coronary disease and a relatively normal lipid profile. This suggests that the cardiovascular complications are more influenced by genetics and culture than diabetes mellitus and hypertension.

  20. Family-based risk reduction of obesity and metabolic syndrome: an overview and outcomes of the Idaho Partnership for Hispanic Health.

    Science.gov (United States)

    Schwartz, Rachel; Powell, Linda; Keifer, Matthew

    2013-01-01

    Mexican American women have the highest incidence of metabolic syndrome among all U.S. demographic groups. This paper details an innovative approach to reducing the risks for metabolic syndrome among Hispanic families in rural Idaho. Compañeros en Salud (CeS) is a promotora-led wellness program and community-based participatory research project from the Idaho Partnership for Hispanic Health. As behavior change is the first line of prevention and treatment of obesity and metabolic syndrome, the program aimed to improve nutrition and physical activity behaviors as well as increase community support and infrastructure for healthy living. CeS has demonstrated substantial improvement in health outcomes, with statistically significant reductions in weight, BMI, metabolic syndrome risk, A1c, glucose, blood pressure, and cholesterol, from pre-intervention to post-intervention and/or pre-intervention to one-year follow-up. These outcomes suggest the CeS model as a promising best practice for effecting individual and family-level physiologic and behavioral outcomes for obesity prevention.