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Sample records for body mass index

  1. Body mass index

    Science.gov (United States)

    ... page: //medlineplus.gov/ency/article/007196.htm Body mass index To use the sharing features on this ... your height is to figure out your body mass index (BMI). You and your health care provider ...

  2. Body Mass Index and Stroke

    DEFF Research Database (Denmark)

    Andersen, Klaus Kaae; Olsen, Tom Skyhøj

    2013-01-01

    Although obesity is associated with excess mortality and morbidity, mortality is lower in obese than in normal weight stroke patients (the obesity paradox). Studies now indicate that obesity is not associated with increased risk of recurrent stroke in the years after first stroke. We studied the ...... the association between body mass index (BMI) and stroke patient's risk of having a history of previous stroke (recurrent stroke)....

  3. Body Mass Index (BMI) Charts (For Parents)

    Science.gov (United States)

    ... 5 Things to Know About Zika & Pregnancy Body Mass Index (BMI) Charts KidsHealth > For Parents > Body Mass Index (BMI) Charts Print A A A Text ... same age. Now they have another tool: body mass index (BMI). BMI is a calculation that uses ...

  4. Body mass index in amputees.

    Science.gov (United States)

    Tzamaloukas, A H; Patron, A; Malhotra, D

    1994-01-01

    Whereas estimates of percent deviation of body weight from ideal (F delta weight) are corrected for amputation, those of body mass index (BMI) are not, creating discrepancies in evaluating obesity. A correction of the BMI formula for amputation is proposed. The formula for BMI was corrected for amputation mathematically. The mathematical model predicts that the uncorrected BMI formula underestimates body fat in unilateral amputees and overestimates body fat in subjects with bilateral amputations at the same length of the legs. F delta weight and corrected and uncorrected BMI estimates were computed in 15 subjects with unilateral leg amputation and in 8 subjects with multiple amputations. BMI estimates were as follows: in unilateral amputees, corrected 24.1 +/- 4.1 kg/m2, uncorrected 22.2 +/- 3.9 kg/m2 (p amputees, corrected 21.6 +/- 2.4 kg/m2, uncorrected 32.6 +/- 11.8 kg/m2 (p = .043). Linear regressions of F delta weight obtained from standard nutrition assessment on F delta weight computed from uncorrected and corrected BMI values were as follows: in unilateral amputees, uncorrected F delta weight = -0.079 + 0.932 x actual F delta weight, r = .974, p amputees, uncorrected F delta weight = 0.528 + 1.930 x actual F delta weight, r = .607, p is not significant, and corrected F delta weight = -0.010 + 0.920 x actual F delta weight, r = .936, p < .01.(ABSTRACT TRUNCATED AT 250 WORDS)

  5. Body mass index in chronic heart failure

    DEFF Research Database (Denmark)

    Christensen, Heidi M; Schou, Morten; Goetze, Jens P;

    2013-01-01

    Low body mass index (BMI) is associated with a poor outcome in chronic heart failure (CHF). An inverse association between BMI and adiponectin and N-terminal pro-B-type natriuretic peptide (NT-proBNP) has been reported. The aim of the present study was to investigate whether novel markers...

  6. Body mass index and suicide methods.

    Science.gov (United States)

    Wingren, Carl Johan; Ottosson, Anders

    2016-08-01

    Overweight and obesity is associated with lower rates of suicide. However, little is known about the association with different suicide methods. We studied the association between groups of body mass index and suicide methods. We identified all medicolegal autopsy cases with a cause of death due to external causes in Sweden during 1999-2013 (N = 39,368) and included 11,715 suicides and 13,316 accidents or homicides as controls. We applied multinomial regression models adjusted for age, sex, year and season of death. Obesity was associated with suicidal intoxication, OR 1.15 [95% confidence interval (CI) 1.02, 1.30] and negatively associated with all other suicide methods studied. Underweight showed a negative association with suicidal drowning and there was an indication towards a negative association with hanging in men OR 0.81 (95% CI 0.65, 1.01). We conclude that body mass index (BMI) is associated with the choice of suicide method. This may be of importance in a public health perspective, e.g. potential for prevention of intoxications. In the practice of forensic medicine, the physician's level of suspicion may rise if the apparent suicidal method is less common for the individual characteristics of the deceased, such as BMI. PMID:27239953

  7. Body Mass Index and spontaneous miscarriage.

    LENUS (Irish Health Repository)

    Turner, Michael J

    2012-02-01

    OBJECTIVE: We compared the incidence of spontaneous miscarriage in women categorised as obese, based on a Body Mass Index (BMI) >29.9 kg\\/m(2), with women in other BMI categories. STUDY DESIGN: In a prospective observational study conducted in a university teaching hospital, women were enrolled at their convenience in the first trimester after a sonogram confirmed an ongoing singleton pregnancy with fetal heart activity present. Maternal height and weight were measured digitally and BMI calculated. Maternal body composition was measured by advanced bioelectrical impedance analysis. RESULTS: In 1200 women, the overall miscarriage rate was 2.8% (n=33). The mean gestational age at enrolment was 9.9 weeks. In the obese category (n=217), the miscarriage rate was 2.3% compared with 3.3% in the overweight category (n=329), and 2.3% in the normal BMI group (n=621). There was no difference in the mean body composition parameters, particularly fat mass parameters, between those women who miscarried and those who did not. CONCLUSIONS: In women with sonographic evidence of fetal heart activity in the first trimester, the rate of spontaneous miscarriage is low and is not increased in women with BMI>29.9 kg\\/m(2) compared to women in the normal BMI category.

  8. Body mass index and poststroke mortality

    DEFF Research Database (Denmark)

    Olsen, Tom Skyhøj; Dehlendorff, Christian; Petersen, Hans Gregers;

    2008-01-01

    Background: Obesity is an established cardiovascular risk factor. We studied the association between body mass index (BMI) and all-cause mortality after stroke. Methods: A registry started in 2001 with the aim to register all hospitalized stroke patients in Denmark now includes 21,884 patients...... in whom BMI was recorded. There are five BMI groups: underweight (BMI overweight (BMI 25.0-29.9), obese (BMI 30.0-34.9) and severely obese (BMI 6 35). All patients underwent an evaluation including stroke severity, computed tomography, and cardiovascular risk factors....... Survival was followed up to 5 years after stroke (median 1.5 years). Independent predictors of death were identified by means of a survival model based on 13,242 individuals with a complete data set. Results: Compared to normal- weight patients, mortality was lower in overweight [hazard rate (HR) 0.73, 95...

  9. Hypothalamic digoxin and regulation of body mass index.

    Directory of Open Access Journals (Sweden)

    Kumar A

    2002-10-01

    Full Text Available The hypothalamus produces digoxin, an endogenous membrane Na+-K+ ATPase inhibitor and regulator of neurotransmission. Digoxin being a steroidal glycoside, is synthesised by the isoprenoid pathway. In view of the reports of elevated digoxin levels in metabolic syndrome X with high body mass index, the isoprenoid pathway mediated biochemical cascade was assessed in individuals with high and low body mass index. It was also assessed in individuals with differing hemispheric dominance to find out the relationship between digoxin status, body mass index and hemispheric dominance. The isoprenoid pathway metabolites, tryptophan / tyrosine catabolic patterns and membrane composition were assessed. In individuals with high body mass index an upregulated isoprenoid pathway with increased HMG CoA reductase activity, serum digoxin and dolichol levels and low ubiquinone levels were observed. The RBC membrane Na+-K+ ATPase activity and serum magnesium levels were decreased. The tyrosine catabolites (dopamine, morphine, epinephrine and norepinephrine were reduced and the tryptophan catabolites (serotonin, quinolinic acid, strychnine and nicotine were increased. There was an increase in membrane cholesterol : phospholipid ratio and a reduction in membrane glycoconjugates in individuals with high body mass index. The reverse patterns were seen in individuals with low body mass index. The patterns in individuals with high body mass index and low body mass index correlated with right hemispheric dominance and left hemispheric dominance respectively. Hemispheric dominance and digoxin status regulates the differential metabolic pattern observed in individuals with high and low body mass index.

  10. Elevated body mass index and fatty liver

    Directory of Open Access Journals (Sweden)

    Marović Dragana

    2008-01-01

    Full Text Available Introduction Obesity and overweight, expressed by elevated Body Mass Index (BMI, result from excessive consumption of fatty food and carbohydrates above the body needs. The fat from the blood, through free fatty acids, is taken directly into the liver. Objective The aim of this study was to examine correlation among the accepted ultrasonography findings of the fatty liver and the normal ultrasonography findings and the elevated average level of BMI and those with normal BMI in examinees in one investigation. All was done aimed at proving that the BMI is one of the direct factors of the increased occurence of fatty liver. METHOD The method of the investigation consisted of anthropometric measuring of height and weight on the basis of which there were established BMI values. Consequently, the examinees were divided in two groups: one with normal BMI (under 24.9 kg/m2 and the other with increased BMI (over 25 kg/m2. Fatty liver was diagnosed when the liver of the examinees was observed by ultrasonography. Thus there were given subgroups of the examinees, one with the findings of fatty liver and the second with a normal finding, without changes. After that, the obtained results were statistically analysed. Results It was found that the average level of BMI in the examinees was by two units higher in the subgroup with ultrasonography findings of fatty liver than the average value of BMI in the subgroup with the normal ultrasonography findings of the liver. The difference was tested by the Student's t-test and a significant difference was found. The difference in frequencies of the appearance of the finding of fatty liver in the subgroups was tested by χ2-test. A statistically significant difference was found in frequencies of the appearance of fatty liver in the subgroup with the increased value of BMI. Conclusion The increased BMI, which is represented by overweight and obesity, is one of the direct risk factors which cause fatty liver, checked by

  11. High Body Mass Index in Adolescent Girls Precedes Psoriasis Hospitalization

    DEFF Research Database (Denmark)

    Bryld, L.E.; Sørensen, T.I.A.; Andersen, Klaus Kaae;

    2010-01-01

    Psoriasis is associated with being overweight, but the temporal relationship is not known. This historical cohort study tested whether severe psoriasis resulting in hospitalization in adulthood was preceded by excess increase in age-adjusted body mass index, a known risk factor in childhood...... identified as having psoriasis, with at least one hospital admission. Multivariate analysis demonstrated an association between excess increase in body mass index and psoriasis in females only. Being overweight in adolescence was the main factor behind this observation. The female group showed a significant...... association between psoriasis and body mass index at ages 12 (p=0.028) and 13 years (p=0.010). This was not the case for males or for body mass index measured at ages 11 years and below....

  12. Childhood social circumstances and body mass index in adult life

    DEFF Research Database (Denmark)

    Larsen, Anne-Mette; Lund, Rikke; Kriegbaum, Margit;

    2011-01-01

    To examine whether father's social class was associated with body mass index (BMI) at age 20 and 50 years in a cohort of men born in 1953 and to explore the role of birth weight, cognitive function (IQ), and educational status in these relationships.......To examine whether father's social class was associated with body mass index (BMI) at age 20 and 50 years in a cohort of men born in 1953 and to explore the role of birth weight, cognitive function (IQ), and educational status in these relationships....

  13. The estimation of body mass index and physical attractiveness is dependent on the observer's own body mass index.

    Science.gov (United States)

    Tovée, M J; Emery, J L; Cohen-Tovée, E M

    2000-10-01

    A disturbance in the evaluation of personal body mass and shape is a key feature of both anorexia and bulimia nervosa. However, it is uncertain whether overestimation is a causal factor in the development of these eating disorders or is merely a secondary effect of having a low body mass. Moreover, does this overestimation extend to the perception of other people's bodies? Since body mass is an important factor in the perception of physical attractiveness, we wanted to determine whether this putative overestimation of self body mass extended to include the perceived attractiveness of others. We asked 204 female observers (31 anorexic, 30 bulimic and 143 control) to estimate the body mass and rate the attractiveness of a set of 25 photographic images showing people of varying body mass index (BMI). BMI is a measure of weight scaled for height (kg m(- 2)). The observers also estimated their own BMI. Anorexic and bulimic observers systematically overestimated the body mass of both their own and other people's bodies, relative to controls, and they rated a significantly lower body mass to be optimally attractive. When the degree of overestimation is plotted against the BMI of the observer there is a strong correlation. Taken across all our observers, as the BMI of the observer declines, the overestimation of body mass increases. One possible explanation for this result is that the overestimation is a secondary effect caused by weight loss. Moreover, if the degree of body mass overestimation is taken into account, then there are no significant differences in the perceptions of attractiveness between anorexic and bulimic observers and control observers. Our results suggest a significant perceptual overestimation of BMI that is based on the observer's own BMI and not correlated with cognitive factors, and suggests that this overestimation in eating-disordered patients must be addressed directly in treatment regimes. PMID:11075712

  14. Body mass index trajectory classes and incident asthma in childhood

    DEFF Research Database (Denmark)

    Rzehak, Peter; Wijga, Alet H; Keil, Thomas;

    2013-01-01

    The causal link between body mass index (BMI) or obesity and asthma in children is still being debated. Analyses of large longitudinal studies with a sufficient number of incident cases and in which the time-dependent processes of both excess weight and asthma development can be validly analyzed...

  15. Body Mass Index Of Nigerian Adolescent Urban Secondary School Girls

    Directory of Open Access Journals (Sweden)

    Onyiriuka Alphonsus N.

    2015-06-01

    Full Text Available Background and Aims: Body mass index (BMI is an inexpensive and easy-to-perform method of screening for weight status, which may have detrimental health consequences. The aim of our study was to assess the pattern of BMI among Nigerian adolescent secondary school girls and determine the prevalence of underweight, overweight and obesity among them.

  16. Exploring Categorical Body Mass Index Trajectories in Elementary School Children

    Science.gov (United States)

    Moreno-Black, Geraldine; Boles, Shawn; Johnson-Shelton, Deb; Evers, Cody

    2016-01-01

    Background: Studies of body mass index (BMI) change have focused on understanding growth trajectories from childhood to adolescence and adolescence to adulthood, but few have explored BMI trajectories solely in elementary (grades K-5) school children. This report complements these studies by exploring changes in obesity status using analytic…

  17. Relationship between body mass index and mortality among Europeans

    NARCIS (Netherlands)

    Song, X.; Pitkaniemi, J.; Heine, R.J.; Pyorala, K.; Soderberg, S.; Stehouwer, C.D.; Feskens, E.J.M.

    2012-01-01

    Background/Objectives: To investigate the relationship between body mass index (BMI) and mortality from various causes. Subjects/Methods: Data of 72¿947 European men and 62¿798 women aged 24–99 years at baseline were collaboratively analyzed. Both absolute and relative mortality risks were estimated

  18. Gastrointestinal disorders and symptoms: does body mass index matter?

    NARCIS (Netherlands)

    Oijen, M.G.H. van; Josemanders, D.F.; Laheij, R.J.F.; Rossum, L.G.M. van; Tan, A.; Jansen, J.B.M.J.

    2006-01-01

    BACKGROUND: Recent studies have shown inconsistent results about the association between body mass index (BMI) and gastrointestinal disorders. The aim of this study was to assess the association between BMI and gastrointestinal disorders in patients referred for endoscopy. METHODS: Consecutive patie

  19. Depression and body mass index, a u-shaped association

    NARCIS (Netherlands)

    Wit, de L.M.; Straten, van A.; Herten, van M.; Penninx, B.W.J.H.; Cuijpers, P.

    2009-01-01

    Background Results of studies concerning the association between obesity and depression are conflicting. Some find a positive association, some a negative association and some find no association at all. Most studies, however, examine a linear association between Body Mass Index (BMI) and depression

  20. Body Mass Index and the Measurement of Obesity

    OpenAIRE

    Madden, David

    2006-01-01

    This paper proposes a new method of measuring obesity using Body Mass Index (BMI) data. Conventional measures which simply count the number of individuals with BMI in excess of an upper limit ignore the extent by which individuals exceed BMI limits and also the increased risk ratios for various conditions associated very high levels of BMI. This paper suggests that measures currently used in the poverty literature can be usefully applied to measure obesity and provide us with measures which m...

  1. Is Age of Menarche Related with Body Mass Index?

    OpenAIRE

    Kazem Mohamad; Leila Jamshidi; Keramat Nouri Jelyani

    2013-01-01

    Abstract Background Prediction of the onset of menstruation (menarche age) using height, weight and Body Mass Index (BMI) is a major health procedure. The present study was conducted to determine the relationship between anthropometric indices and menarche age in 488 girls 11-17 years in southern Iran (Kish Island) in 2011. Methods Data was collected using questionnaires as well as measurements of the children’s height and weight. This data was analyzed using t-test and logistic regression. R...

  2. Body Mass Index and Employment-Based Health Insurance

    OpenAIRE

    Franks Peter; Fong Ronald L

    2008-01-01

    Abstract Background Obese workers incur greater health care costs than normal weight workers. Possibly viewed by employers as an increased financial risk, they may be at a disadvantage in procuring employment that provides health insurance. This study aims to evaluate the association between body mass index [BMI, weight in kilograms divided by the square of height in meters] of employees and their likelihood of holding jobs that include employment-based health insurance [EBHI]. Methods We use...

  3. Modeling of Body Mass Index by Newton's Second Law

    CERN Document Server

    Canessa, E

    2008-01-01

    Since laws of physics exist in nature, their possible relationship to terrestial growth is introduced. By considering the human body as a dynamic system of variable mass (and volume), growing under a gravity field, it is shown how natural laws may influence the vertical growth of humans. This approach makes sense because the non-linear percentile curves of different aspects of human physical growth from childhood to adolescence can be described in relation to physics laws independently of gender and nationality. Analytical relations for the dependence of stature, measured mass (weight), growth velocity (and their mix as the body mass index) on age are deduced with a set of common statistical parameters which could relate environmental, genetics and metabolism and different aspects of physical growth on earth. A relationship to the monotone smoothing using functional data analysis to estimate growth curves and its derivatives is established. A preliminary discussion is also presented on horizontal growth in an...

  4. Body mass index and blood pressure measurement during pregnancy.

    LENUS (Irish Health Repository)

    Hogan, Jennifer L

    2012-02-01

    OBJECTIVE: The accurate measurement of blood pressure requires the use of a large cuff in subjects with a high mid-arm circumference (MAC). This prospective study examined the need for a large cuff during pregnancy and its correlation with maternal obesity. METHODS: Maternal body mass index (BMI), fat mass, and MAC were measured. RESULTS: Of 179 women studied, 15.6% were obese. With a BMI of level 1 obesity, 44% needed a large cuff and with a BMI of level 2 obesity 100% needed a large cuff. CONCLUSION: All women booking for antenatal care should have their MAC measured to avoid the overdiagnosis of pregnancy hypertension.

  5. The Relationships among Body Image, Body Mass Index, Exercise, and Sexual Functioning in Heterosexual Women

    Science.gov (United States)

    Weaver, Angela D.; Byers, E. Sandra

    2006-01-01

    Problems related to negative body image are very common among young women. In this study, we examined the relationship between women's body image and their sexual functioning over and above the effects of physical exercise and body mass index (BMI) in a sample of 214 university women. Low situational body image dysphoria and low body…

  6. Asthma severity is associated with body mass index and early menarche in women. : Body mass index and asthma severity

    OpenAIRE

    Varraso, Raphaëlle; Siroux, Valérie; Maccario, Jean; Pin, Isabelle; Kauffmann, Francine

    2005-01-01

    International audience; Asthma severity in relation to body mass index (BMI) has rarely been studied. The relation between BMI and asthma severity was studied by sex in 366 adults with asthma from the Epidemiological Study on the Genetics and Environment of Asthma, a case-control and family study on asthma. Factors related to asthma severity and BMI such as smoking, FEV(1), bronchial hyperresponsiveness, and dyspnea were taken into account. The influence of early menarche was studied to asses...

  7. A new body shape index predicts mortality hazard independently of body mass index.

    Directory of Open Access Journals (Sweden)

    Nir Y Krakauer

    Full Text Available BACKGROUND: Obesity, typically quantified in terms of Body Mass Index (BMI exceeding threshold values, is considered a leading cause of premature death worldwide. For given body size (BMI, it is recognized that risk is also affected by body shape, particularly as a marker of abdominal fat deposits. Waist circumference (WC is used as a risk indicator supplementary to BMI, but the high correlation of WC with BMI makes it hard to isolate the added value of WC. METHODS AND FINDINGS: We considered a USA population sample of 14,105 non-pregnant adults (age ≥ 18 from the National Health and Nutrition Examination Survey (NHANES 1999-2004 with follow-up for mortality averaging 5 yr (828 deaths. We developed A Body Shape Index (ABSI based on WC adjusted for height and weight: ABSI ≡ WC/(BMI(2/3height(1/2. ABSI had little correlation with height, weight, or BMI. Death rates increased approximately exponentially with above average baseline ABSI (overall regression coefficient of +33% per standard deviation of ABSI [95% confidence interval: +20%-+48%, whereas elevated death rates were found for both high and low values of BMI and WC. 22% (8%-41% of the population mortality hazard was attributable to high ABSI, compared to 15% (3%-30% for BMI and 15% (4%-29% for WC. The association of death rate with ABSI held even when adjusted for other known risk factors including smoking, diabetes, blood pressure, and serum cholesterol. ABSI correlation with mortality hazard held across the range of age, sex, and BMI, and for both white and black ethnicities (but not for Mexican ethnicity, and was not weakened by excluding deaths from the first 3 yr of follow-up. CONCLUSIONS: Body shape, as measured by ABSI, appears to be a substantial risk factor for premature mortality in the general population derivable from basic clinical measurements. ABSI expresses the excess risk from high WC in a convenient form that is complementary to BMI and to other known risk factors.

  8. Body image dissatisfaction and its relationship with physical activity and body mass index in Brazilian adolescents

    Directory of Open Access Journals (Sweden)

    Maria F. Laus

    2011-01-01

    Full Text Available Objective: To evaluate body image dissatisfaction and its relationship with physical activity and body mass index in a Brazilian sample of adolescents. Methods: A total of 275 adolescents (139 boys and 136 girls between the ages of 14 and 18 years completed measures of body image dissatisfaction through the Contour Drawing Scale and current physical activity by the International Physical Activity Questionnaire. Weight and height were also measured for subsequent calculation of body mass index. Results: Boys and girls differed significantly regarding body image dissatisfaction, with girls reporting higher levels of dissatisfaction. Underweight and eutrophic boys preferred to be heavier, while those overweight preferred be thinner and, in contrast, girls desired to be thinner even when they are of normal weight. Conclusion: Body image dissatisfaction was strictly related to body mass index, but not to physical activity.

  9. Body image dissatisfaction and its relationship with physical activity and body mass index in Brazilian adolescents

    OpenAIRE

    Maria F. Laus; Telma M. Braga Costa; Almeida, Sebastião S.

    2011-01-01

    Objective: To evaluate body image dissatisfaction and its relationship with physical activity and body mass index in a Brazilian sample of adolescents. Methods: A total of 275 adolescents (139 boys and 136 girls) between the ages of 14 and 18 years completed measures of body image dissatisfaction through the Contour Drawing Scale and current physical activity by the International Physical Activity Questionnaire. Weight and height were also measured for subsequent calculation of body mass inde...

  10. Body mass index and age of menarche in young girls

    OpenAIRE

    Dina Olivia; Melda Deliana; Supriatmo; Hakimi; Siska Mayasari Lubis

    2012-01-01

    Background Currently the age at onset of menarche is earlier than in the past. Nutritional status has an important role in the onset of menarche. Past studies have shown an association between body mass index (BMI) in young girls and earlier onset of menarche. Objective To assess an association between BMI and age at onset of menarche. Methods This cross-sectional study was conducted in young girls aged 10 to 15 years from Immanuel Elementary and Junior High School, Medan in June 2010...

  11. Impact of maternal body mass index on neonatal outcome

    OpenAIRE

    Kalk P; Guthmann F; Krause K; Relle K; Godes M; Gossing G; Halle H; Wauer R; Hocher B

    2009-01-01

    Abstract Introduction Maternal body mass index has an impact on maternal and fetal pregnancy outcome. An increased maternal BMI is known to be associated with admission of the newborn to a neonatal care unit. The reasons and impact of this admission on fetal outcome, however, are unknown so far. Objective The aim of our study was to investigate the impact of maternal BMI on maternal and fetal pregnancy outcome with special focus on the children admitted to a neonatal care unit. Methods A coho...

  12. No association between body mass index and sperm DNA integrity

    DEFF Research Database (Denmark)

    Bandel, I; Bungum, Mona; Richtoff, J;

    2015-01-01

    )), overweight (25.0-29.9 kg/m(2)) and obese (≥30.0 kg/m(2)). Using a linear regression model, the inter-group differences in DFI were calculated. Furthermore with the normal-weight group as the reference, the odds ratios (ORs) for DFI > 20% and DFI > 30%, were calculated for the other groups. Calculations were...... mainly subfertile men, have shown conflicting results regarding the influence of overweight and obesity on sperm DNA integrity. STUDY DESIGN, SIZE, DURATION: This cross-sectional study was based on semen samples from 1503 men from the general population. PARTICIPANTS/MATERIALS, SETTING, METHODS: We......STUDY QUESTION: Is overweight associated with impaired sperm DNA integrity? SUMMARY ANSWER: High body mass index (BMI) is not associated with impaired sperm DNA integrity as assessed by the DNA Fragmentation Index (DFI). WHAT IS KNOWN ALREADY: Previous studies, based on fewer subjects and including...

  13. Store Impulse Marketing Strategies and Body Mass Index

    Science.gov (United States)

    Collins, Rebecca; Hunter, Gerald; Ghosh-Dastidar, Bonnie; Dubowitz, Tamara

    2015-01-01

    Objectives. We quantified the use of placement and price reduction marketing strategies in different food retail outlets to identify associations between these strategies and the risk of overweight and obesity among customers. Methods. In 2011 we collected dietary and health information from 1372 residents in “food deserts” in Pittsburgh, PA. We audited neighborhood restaurants and food stores (n = 40) including 16 distant food venues at which residents reported shopping. We assessed end-aisle displays, special floor displays, cash register displays, and price reductions for sugar-sweetened beverages (SSBs); foods high in saturated oils, fats, and added sugars; and nutritious foods such as fruits, vegetables, and products with at least 51% whole grains. Results. Supermarkets and superstores had the largest numbers of displays and price reductions for low-nutrient foods. Exposure to displays of SSBs and foods high in saturated oils, fats, and added sugars and price reduction of SSBs was associated with increased body mass index. Conclusions. In-store marketing strategies of low-nutrient foods appear to be risk factors for a higher body mass index among regular shoppers. Future research is needed to confirm the causal role of marketing strategies in obesity. PMID:25521881

  14. Evaluation of Body Mass Index and Survival of Nasopharyngeal Carcinoma by Propensity-Matched Analysis

    OpenAIRE

    OuYang, Pu-Yun; Zhang, Lu-Ning; Jie TANG; Lan, Xiao-Wen; Xiao, Yao; Gao, Yuan-Hong; Jun MA; Xie, Fang-Yun

    2016-01-01

    Abstract The effect of pretreatment body mass index on survival of nasopharyngeal carcinoma remains contradictory. All patients (N = 1778) underwent intensity-modulated radiotherapy with or without chemotherapy. Body mass index was categorized as underweight (

  15. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    DEFF Research Database (Denmark)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire;

    2016-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We...

  16. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    J.F. Felix (Janine); J.P. Bradfield (Jonathan); C. Monnereau; R.J.P. van der Valk (Ralf); E. Stergiakouli (Evie); A. Chesi (Alessandra); R. Gaillard (Romy); B. Feenstra (Bjarke); E. Thiering (Elisabeth); E. Kreiner-Møller (Eskil); A. Mahajan (Anubha); Niina Pitkänen; R. Joro (Raimo); A. Cavadino (Alana); V. Huikari (Ville); S. Franks (Steve); M. Groen-Blokhuis (Maria); D.L. Cousminer (Diana); J.A. Marsh (Julie); T. Lehtimäki (Terho); J.A. Curtin (John); J. Vioque (Jesus); T.S. Ahluwalia (Tarunveer Singh); R. Myhre (Ronny); T.S. Price (Thomas); Natalia Vilor-Tejedor; L. Yengo (Loic); N. Grarup (Niels); I. Ntalla (Ioanna); W.Q. Ang (Wei); M. Atalay (Mustafa); H. Bisgaard (Hans); A.I.F. Blakemore (Alexandra); A. Bonnefond (Amélie); L. Carstensen (Lisbeth); J.G. Eriksson (Johan G.); C. Flexeder (Claudia); L. Franke (Lude); F. Geller (Frank); M. Geserick (Mandy); A.L. Hartikainen; C.M.A. Haworth (Claire M.); J.N. Hirschhorn (Joel N.); A. Hofman (Albert); J.-C. Holm (Jens-Christian); M. Horikoshi (Momoko); J.J. Hottenga (Jouke Jan); J. Huang (Jian); H.N. Kadarmideen (Haja N.); M. Kähönen (Mika); W. Kiess (Wieland); T.A. Lakka (Timo); T.A. Lakka (Timo); A. Lewin (Alex); L. Liang (Liming); L.-P. Lyytikäinen (Leo-Pekka); B. Ma (Baoshan); P. Magnus (Per); S.E. McCormack (Shana E.); G. Mcmahon (George); F.D. Mentch (Frank); C.M. Middeldorp (Christel); C.S. Murray (Clare S.); K. Pahkala (Katja); T.H. Pers (Tune); R. Pfäffle (Roland); D.S. Postma (Dirkje); C. Power (Christine); A. Simpson (Angela); V. Sengpiel (Verena); C. Tiesler (Carla); M. Torrent (Maties); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); R. Vinding (Rebecca); J. Waage (Johannes); J. Wardle (Jane); E. Zeggini (Eleftheria); B.S. Zemel (Babette S.); G.V. Dedoussis (George); O. Pedersen (Oluf); P. Froguel (Philippe); J. Sunyer (Jordi); R. Plomin (Robert); B. Jacobsson (Bo); T. Hansen (Torben); J.R. Gonzalez (Juan R.); A. Custovic; O.T. Raitakari (Olli T.); C.E. Pennell (Craig); Elisabeth Widén; D.I. Boomsma (Dorret); G.H. Koppelman (Gerard); S. Sebert (Sylvain); M.-R. Jarvelin (Marjo-Riitta); E. Hypponen (Elina); M.I. McCarthy (Mark); V. Lindi (Virpi); N. Harri (Niinikoski); A. Körner (Antje); K. Bønnelykke (Klaus); J. Heinrich (Joachim); M. Melbye (Mads); F. Rivadeneira Ramirez (Fernando); H. Hakonarson (Hakon); S.M. Ring (Susan); G.D. Smith; T.I.A. Sørensen (Thorkild I.A.); N. Timpson (Nicholas); S.F. Grant; V.W.V. Jaddoe (Vincent W. V.); H.J. Kalkwarf (Heidi J.); J.M. Lappe (Joan M.); V. Gilsanz (Vicente); S.E. Oberfield (Sharon E.); J.A. Shepherd (John A.); A. Kelly (Andrea)

    2016-01-01

    textabstractA large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown.We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation sc

  17. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire; van der Valk, Ralf J P; Stergiakouli, Evie; Chesi, Alessandra; Gaillard, Romy; Feenstra, Bjarke; Thiering, Elisabeth; Kreiner-Møller, Eskil; Mahajan, Anubha; Pitkänen, Niina; Joro, Raimo; Cavadino, Alana; Huikari, Ville; Franks, Steve; Groen-Blokhuis, Maria M; Cousminer, Diana L; Marsh, Julie A; Lehtimäki, Terho; Curtin, John A; Vioque, Jesus; Ahluwalia, Tarunveer S; Myhre, Ronny; Price, Thomas S; Vilor-Tejedor, Natalia; Yengo, Loïc; Grarup, Niels; Ntalla, Ioanna; Ang, Wei; Atalay, Mustafa; Bisgaard, Hans; Blakemore, Alexandra I; Bonnefond, Amelie; Carstensen, Lisbeth; Eriksson, Johan; Flexeder, Claudia; Franke, Lude; Geller, Frank; Geserick, Mandy; Hartikainen, Anna-Liisa; Haworth, Claire M A; Hirschhorn, Joel N; Hofman, Albert; Holm, Jens-Christian; Horikoshi, Momoko; Hottenga, Jouke Jan; Huang, Jinyan; Kadarmideen, Haja N; Kähönen, Mika; Kiess, Wieland; Lakka, Hanna-Maaria; Lakka, Timo A; Lewin, Alexandra M; Liang, Liming; Lyytikäinen, Leo-Pekka; Ma, Baoshan; Magnus, Per; McCormack, Shana E; McMahon, George; Mentch, Frank D; Middeldorp, Christel M; Murray, Clare S; Pahkala, Katja; Pers, Tune H; Pfäffle, Roland; Postma, Dirkje S; Power, Christine; Simpson, Angela; Sengpiel, Verena; Tiesler, Carla M T; Torrent, Maties; Uitterlinden, André G; van Meurs, Joyce B; Vinding, Rebecca; Waage, Johannes; Wardle, Jane; Zeggini, Eleftheria; Zemel, Babette S; Dedoussis, George V; Pedersen, Oluf; Froguel, Philippe; Sunyer, Jordi; Plomin, Robert; Jacobsson, Bo; Hansen, Torben; Gonzalez, Juan R; Custovic, Adnan; Raitakari, Olli T; Pennell, Craig E; Widén, Elisabeth; Boomsma, Dorret I; Koppelman, Gerard H; Sebert, Sylvain; Järvelin, Marjo-Riitta; Hyppönen, Elina; McCarthy, Mark I; Lindi, Virpi; Harri, Niinikoski; Körner, Antje; Bønnelykke, Klaus; Heinrich, Joachim; Melbye, Mads; Rivadeneira, Fernando; Hakonarson, Hakon; Ring, Susan M; Smith, George Davey; Sørensen, Thorkild I A; Timpson, Nicholas J; Grant, Struan F A; Jaddoe, Vincent W V

    2015-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We in

  18. Relationship between Body Image and Body Mass Index in College Men

    Science.gov (United States)

    Watkins, Julia A.; Christie, Catherine; Chally, Pamela

    2008-01-01

    Objective and Participants: The authors examined cognitive and affective dimensions of body image of a randomized sample of 188 college men on the basis of body mass index (BMI). Methods: They conducted chi-square tests and ANOVAs to determine differences between 4 BMI groups (underweight, normal weight, overweight, and obese) on demographics and…

  19. Health Behaviour and Body Mass Index Among Problem Gamblers

    DEFF Research Database (Denmark)

    Holst Algren, Maria; Ekholm, Ola; Davidsen, Michael;

    2015-01-01

    Problem gambling is a serious public health issue. The objective of this study was to investigate whether past year problem gamblers differed from non-problem gamblers with regard to health behaviour and body mass index (BMI) among Danes aged 16 years or older. Data were derived from the Danish...... Health and Morbidity Surveys in 2005 and 2010. Past year problem gambling was defined using the lie/bet questionnaire. Logistic regression analyses were used to examine the association between past year problem gambling and health behaviour and BMI. Problem gambling was associated with unhealthy...... behaviour and obesity. The odds of smoking was significantly higher among problem gamblers than among non-problem gamblers. Further, the odds of high-risk alcohol drinking and illicit drug use were significantly higher among problem gamblers. The prevalence of sedentary leisure activity, unhealthy diet...

  20. Body mass index and participation in organized mammographic screening

    DEFF Research Database (Denmark)

    Hellmann, Sophie Sell; Njor, Sisse Helle; Lynge, Elsebeth;

    2015-01-01

    BACKGROUND: Breast cancer is the leading cancer among women, and early diagnosis is essential for future prognosis. Evidence from mainly cross-sectional US studies with self-reported exposure and outcome found positive association of body mass index (BMI) with non-participation in mammographic...... screening, but hardly addressed the influence of potential effect-modifiers. We studied the association between objective measures of BMI and participation in mammographic screening in a Danish prospective cohort, and explored the influence of menopausal status, hormone therapy (HT), previous screening...... participation, and morbidities on this relationship. METHODS: A total of 5,134 women from the Diet, Cancer, and Health cohort who were invited to population based mammographic screening in Copenhagen were included in analysis. Women were 50-64 years old at inclusion (1993-97) when their height and weight were...

  1. The estimation of body mass index and physical attractiveness is dependent on the observer's own body mass index.

    OpenAIRE

    Tovée, M.J.; Emery, J L; Cohen-Tovée, E M

    2000-01-01

    A disturbance in the evaluation of personal body mass and shape is a key feature of both anorexia and bulimia nervosa. However, it is uncertain whether overestimation is a causal factor in the development of these eating disorders or is merely a secondary effect of having a low body mass. Moreover, does this overestimation extend to the perception of other people's bodies? Since body mass is an important factor in the perception of physical attractiveness, we wanted to determine whether this ...

  2. The Tromsø Study: body height, body mass index and fractures.

    Science.gov (United States)

    Joakimsen, R M; Fønnebø, V; Magnus, J H; Tollan, A; Søgaard, A J

    1998-01-01

    Tall persons suffer more hip fractures than shorter persons, and high body mass index is associated with fewer hip and forearm fractures. We have studied the association between body height, body mass index and all non-vertebral fractures in a large, prospective, population-based study. The middle-aged population of Tromsø, Norway, was invited to surveys in 1979/80, 1986/87 and 1994/95 (The Tromsø Study). Of 16,676 invited to the first two surveys, 12,270 attended both times (74%). Height and weight were measured without shoes at the surveys, and all non-vertebral fractures in the period 1988-1995 were registered (922 persons with fractures) and verified by radiography. The risk of a low-energy fracture was found to be positively associated with increasing body height and with decreasing body mass index. Furthermore, men who had gained weight had a lower risk of hip fractures, and women who had gained weight had a lower risk of fractures in the lower extremities. High body height is thus a risk factor for fractures, and 1 in 4 low-energy fractures among women today might be ascribed to the increase in average stature since the turn of the century. Low body mass index is associated with a higher risk of fractures, but the association is probably too weak to have any clinical relevance in this age category.

  3. Relation of Body's Lean Mass, Fat Mass, and Body Mass Index With Submaximal Systolic Blood Pressure in Young Adult Men.

    Science.gov (United States)

    Prasad, Vivek K; Drenowatz, Clemens; Hand, Gregory A; Lavie, Carl J; Sui, Xuemei; Demello, Madison; Blair, Steven N

    2016-02-01

    We examined the association of body composition and body mass index (BMI) with submaximal systolic blood pressure (SSBP) among young adult men. The analysis included 211 men with BMI between 20 and 35 kg/m(2). Total lean mass and fat mass were measured using dual x-ray absorptiometry and lean mass percentage was calculated from the total lean mass. Fat mass index (FMI) and BMI were calculated using height and weight (total fat mass and total weight, respectively) measurements. SSBP was measured at each stage of a graded exercise test. Quintiles of lean mass percentage, FMI, and BMI were created with quintile 1 the lowest and quintile 5 the highest lean mass percentage, FMI, and BMI. Compared with men in lean mass percentage quintile 1, those in quintiles 2, 3, and 4 had significantly lower SSBP, whereas there was no significant difference in SSBP between quintile 1 and 5 at 6, 8, and 10 minutes. Compared with men in FMI quintile 5, those in quintiles 2, 3, and 4 had significantly lower SSBP, whereas there was no significant difference in SSBP between quintile 1 and 5. SSBP among men in lean mass percentage quintile 5 and FMI quintile 1 were still less than lean mass percentage quintile 1 and FMI quintile 5, respectively. There were no significant differences in SSBP across BMI quintiles 1 to 4 but a significantly higher SSBP in quintile 5 compared with quintiles 1 to 4. In conclusion, there was a J-curve pattern between SSBP and components of body composition, whereas, a linear relation between SSBP and BMI.

  4. Relation of Body's Lean Mass, Fat Mass, and Body Mass Index With Submaximal Systolic Blood Pressure in Young Adult Men.

    Science.gov (United States)

    Prasad, Vivek K; Drenowatz, Clemens; Hand, Gregory A; Lavie, Carl J; Sui, Xuemei; Demello, Madison; Blair, Steven N

    2016-02-01

    We examined the association of body composition and body mass index (BMI) with submaximal systolic blood pressure (SSBP) among young adult men. The analysis included 211 men with BMI between 20 and 35 kg/m(2). Total lean mass and fat mass were measured using dual x-ray absorptiometry and lean mass percentage was calculated from the total lean mass. Fat mass index (FMI) and BMI were calculated using height and weight (total fat mass and total weight, respectively) measurements. SSBP was measured at each stage of a graded exercise test. Quintiles of lean mass percentage, FMI, and BMI were created with quintile 1 the lowest and quintile 5 the highest lean mass percentage, FMI, and BMI. Compared with men in lean mass percentage quintile 1, those in quintiles 2, 3, and 4 had significantly lower SSBP, whereas there was no significant difference in SSBP between quintile 1 and 5 at 6, 8, and 10 minutes. Compared with men in FMI quintile 5, those in quintiles 2, 3, and 4 had significantly lower SSBP, whereas there was no significant difference in SSBP between quintile 1 and 5. SSBP among men in lean mass percentage quintile 5 and FMI quintile 1 were still less than lean mass percentage quintile 1 and FMI quintile 5, respectively. There were no significant differences in SSBP across BMI quintiles 1 to 4 but a significantly higher SSBP in quintile 5 compared with quintiles 1 to 4. In conclusion, there was a J-curve pattern between SSBP and components of body composition, whereas, a linear relation between SSBP and BMI. PMID:26718229

  5. Can physical activity maintain normal grades of body mass index and body fat percentage?

    OpenAIRE

    Kesavachandran, C.; Bihari, V.; N. Mathur

    2009-01-01

    Background/Aims: A cross-sectional study was undertaken on 767 urban male volunteers performing physical activity and 469 age and socioeconomic status matched controls not doing any physical activity from the city limits of North India. Materials and Methods: Height and weight were recorded for each participant to determine their Body Mass Index (BMI). Body fat percentage and weight was measured using a body fat monitor. Results: Fifty three percent of the physical activity performers showed ...

  6. Can physical activity maintain normal grades of body mass index and body fat percentage?

    OpenAIRE

    Kesavachandran C; Bihari V; Mathur N

    2009-01-01

    Background/Aims : A cross-sectional study was undertaken on 767 urban male volunteers performing physical activity and 469 age and socioeconomic status matched controls not doing any physical activity from the city limits of North India. Materials and Methods : Height and weight were recorded for each participant to determine their Body Mass Index (BMI). Body fat percentage and weight was measured using a body fat monitor. Results : Fifty three percent of the physical activity performers ...

  7. Body mass index relates to blood pressure among adults

    Directory of Open Access Journals (Sweden)

    Suman Dua

    2014-01-01

    Full Text Available Background: The blood pressure and anthropometric measurements are important for evaluating the health of children, adolescents as well as adults. Aim: The aim is to study the blood pressure and body dimensions and to find out the prevalence of overweight/obesity and hypertension among adults. Materials and Methods: A cross-sectional study was conducted of all the people belonging to the Punjabi community, residing in Roshanara area and Jaina building in Delhi, for the past 20 years and aged 18-50 years. The men were engaged in transport business and women were mainly housewives. Results: Mean values of all the measurements, that is, height, weight, upper arm circumference, pulse rate, systolic blood pressure (SBP, and diastolic blood pressure (DBP were higher among males as compared with females, except skinfold thicknesses. Body mass index (BMI and fat percentage was found to be higher among females as compared with males. There was a significant positive correlation between BMI, fat percentage, and blood pressure both SBP as well as DBP. Odds ratio showed that overweight/obese subjects were more likely to have hypertension than those with normal BMI. Conclusion: Prevalence of prehypertension among overweight/obese suggested an early clinical detection of prehypertension and intervention including life style modification, particularly weight management.

  8. Childhood body mass index and multiple sclerosis risk

    DEFF Research Database (Denmark)

    Munger, Kassandra L; Bentzen, Joan; Laursen, Bjarne;

    2013-01-01

    BACKGROUND: Obesity in late adolescence has been associated with an increased risk of multiple sclerosis (MS); however, it is not known if body size in childhood is associated with MS risk. METHODS: Using a prospective design we examined whether body mass index (BMI) at ages 7-13 years......). RESULTS: Among girls, at each age 7-13 years, a one-unit increase in BMI z-score was associated with an increased risk of MS (HRage 7=1.20, 95% CI: 1.10-1.30; HRage 13=1.18, 95% CI: 1.08-1.28). Girls who were ≥95(th) percentile for BMI had a 1.61-1.95-fold increased risk of MS as compared to girls...... was associated with MS risk among 302,043 individuals in the Copenhagen School Health Records Register (CSHRR). Linking the CSHRR with the Danish MS registry yielded 774 MS cases (501 girls, 273 boys). We used Cox proportional hazards models to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs...

  9. Waist circumference adjusted for body mass index and intra-abdominal fat mass

    DEFF Research Database (Denmark)

    Berentzen, Tina Landsvig; Ängquist, Lars; Kotronen, Anna;

    2012-01-01

    The association between waist circumference (WC) and mortality is particularly strong and direct when adjusted for body mass index (BMI). One conceivable explanation for this association is that WC adjusted for BMI is a better predictor of the presumably most harmful intra-abdominal fat mass (IAFM...

  10. Gender, body mass index and rheumatoid arthritis disease activity: results from the QUEST-RA Study

    DEFF Research Database (Denmark)

    Jawaheer, D; Olsen, J; Lahiff, M;

    2010-01-01

    To investigate whether body mass index (BMI), as a proxy for body fat, influences rheumatoid arthritis (RA) disease activity in a gender-specific manner.......To investigate whether body mass index (BMI), as a proxy for body fat, influences rheumatoid arthritis (RA) disease activity in a gender-specific manner....

  11. Female's Characteristic Index of Upper Body for Apparel Mass Customization

    Institute of Scientific and Technical Information of China (English)

    CUI Zhi-ying; CONG Shan; ZHANG Wei-yuan

    2006-01-01

    The measurements of female aged from 18 to 50 in the East China are taken by TC2 3D-body scanner. The first five factors are obtained by factor analysis of SPSS from 25items of the upper body which influence the body shape,that is, circumference factor, height factor, side shape factor, frontal shape factor, and shoulder slope factor.Then characteristic indices of upper body are chosen by analyzing body scan data. This study will be useful for developing pattern more fitting and faster and helpful for realizing apparel mass customization.

  12. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

    NARCIS (Netherlands)

    C.J. Willer (Cristen); E.K. Speliotes (Elizabeth); R.J.F. Loos (Ruth); S. Li (Shengxu); C.M. Lindgren (Cecilia); I.M. Heid (Iris); S.I. Berndt (Sonja); A.L. Elliott (Amanda); A.U. Jackson (Anne); C. Lamina (Claudia); G. Lettre (Guillaume); N. Lim (Noha); H.N. Lyon (Helen); S.A. McCarroll (Steven); K. Papadakis (Konstantinos); L. Qi (Lu); J.C. Randall (Joshua); R.M. Roccasecca; S. Sanna (Serena); P. Scheet (Paul); M.N. Weedon (Michael); E. Wheeler (Eleanor); J.H. Zhao; L.C. Jacobs (Leonie); I. Prokopenko (Inga); N. Soranzo (Nicole); T. Tanaka (Toshiko); N. Timpson (Nicholas); P. Almgren (Peter); A.J. Bennett (Amanda); R.N. Bergman (Richard); S. Bingham (Sheila); L.L. Bonnycastle (Lori); M.J. Brown (Morris); N.P. Burtt (Noël); P.S. Chines (Peter); L. Coin (Lachlan); F.S. Collins (Francis); J. Connell (John); C. Cooper (Charles); G.D. Smith; E.M. Dennison (Elaine); P. Deodhar (Parimal); M.R. Erdos (Michael); K. Estrada Gil (Karol); D.M. Evans (David); L. Gianniny (Lauren); C. Gieger (Christian); C.J. Gillson (Christopher); C. Guiducci (Candace); R. Hackett (Rachel); D. Hadley (David); A.S. Hall (Alistair); A.S. Havulinna (Aki); J. Hebebrand (Johannes); A. Hofman (Albert); B. Isomaa (Bo); T. Johnson (Toby); P. Jousilahti (Pekka); Z. Jovanovic (Zorica); K-T. Khaw (Kay-Tee); P. Kraft (Peter); M. Kuokkanen (Mikko); J. Kuusisto (Johanna); J. Laitinen (Jaana); E. Lakatta (Edward); J. Luan; R.N. Luben (Robert); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); A. Mulas (Antonella); P. Munroe (Patricia); N. Narisu (Narisu); A.R. Ness (Andrew); K. Northstone (Kate); S. O'Rahilly (Stephen); C. Purmann (Carolin); M.G. Rees (Matthew); M. Ridderstråle (Martin); S.M. Ring (Susan); F. Rivadeneira Ramirez (Fernando); A. Ruokonen (Aimo); M.S. Sandhu (Manjinder); J. Saramies (Jouko); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); M.A. Sims (Matthew); K. Song (Kijoung); J. Stephens (Jonathan); S. Stevens (Suzanne); H.M. Stringham (Heather); Y.C.L. Tung (Loraine); T.T. Valle (Timo); P. Tikka-Kleemola (Päivi); K.S. Vimaleswaran (Karani); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); R.M. Watanabe (Richard); D. Waterworth (Dawn); N. Watkins (Nicholas); J.C.M. Witteman (Jacqueline); E. Zeggini (Eleftheria); G. Zhai (Guangju); M.C. Zillikens (Carola); D. Altshuler (David); M. Caulfield (Mark); S.J. Chanock (Stephen); I.S. Farooqi (Sadaf); L. Ferrucci (Luigi); J.M. Guralnik (Jack); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.R. Jarvelin; M. Laakso (Markku); V. Mooser (Vincent); K.K. Ong (Ken); W.H. Ouwehand (Willem); V. Salomaa (Veikko); N.J. Samani (Nilesh); T.D. Spector (Timothy); T. Tuomi (Tiinamaija); J. Tuomilehto (Jaakko); M. Uda (Manuela); A.G. Uitterlinden (André); P. Deloukas (Panagiotis); N.J. Wareham (Nick); T.M. Frayling (Timothy); L. Groop (Leif); R.B. Hayes (Richard); D. Hunter (David); K.L. Mohlke (Karen); L. Peltonen (Leena Johanna); D. Schlessinger (David); D.P. Strachan (David); H.E. Wichmann (Erich); M.I. McCarthy (Mark); M. Boehnke (Michael); I. Barroso (Inês); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel)

    2009-01-01

    textabstractCommon variants at only two loci, FTO and MC4R, have been reproducibly associated with body mass index (BMI) in humans. To identify additional loci, we conducted meta-analysis of 15 genome-wide association studies for BMI (n > 32,000) and followed up top signals in 14 additional cohorts

  13. Body mass index and psychiatric disorders: a Mendelian randomization study.

    Science.gov (United States)

    Hartwig, Fernando Pires; Bowden, Jack; Loret de Mola, Christian; Tovo-Rodrigues, Luciana; Davey Smith, George; Horta, Bernardo Lessa

    2016-01-01

    Obesity is a highly prevalent risk factor for cardiometabolic diseases. Observational studies suggest that obesity is associated with psychiatric traits, but causal inference from such studies has several limitations. We used two-sample Mendelian randomization methods (inverse variance weighting, weighted median and MR-Egger regression) to evaluate the association of body mass index (BMI) with three psychiatric traits using data from the Genetic Investigation of Anthropometric Traits and Psychiatric Genomics consortia. Causal odds ratio estimates per 1-standard deviation increment in BMI ranged from 0.88 (95% CI: 0.62; 1.25) to 1.23 (95% CI: 0.65; 2.31) for bipolar disorder; 0.93 (0.78; 1.11) to 1.41 (0.87; 2.27) for schizophrenia; and 1.15 (95% CI: 0.92; 1.44) to 1.40 (95% CI: 1.03; 1.90) for major depressive disorder. Analyses removing potentially influential SNPs suggested that the effect estimates for depression might be underestimated. Our findings do not support the notion that higher BMI increases risk of bipolar disorder and schizophrenia. Although the point estimates for depression were consistent in all sensitivity analyses, the overall statistical evidence was weak. However, the fact that SNP-depression associations were estimated in relatively small samples reduced power to detect causal effects. This should be re-addressed when SNP-depression associations from larger studies become available. PMID:27601421

  14. Is Age of Menarche Related with Body Mass Index?

    Directory of Open Access Journals (Sweden)

    Kazem Mohamad

    2013-09-01

    Full Text Available Background: Prediction of the onset of menstruation (menarche age using height, weight and Body Mass Index (BMI is a major health procedure. The present study was conducted to determine the relationship between anthropometric indices and menarche age in 488 girls 11-17 years in southern Iran (Kish Island in 2011.Methods: Data was collected using questionnaires as well as measurements of the children’sheight and weight. This data was analyzed using t-test and logistic regression.Results: Median age of menarche of menstruated girls as inferred from the age of menarche cumulative distribution was 12.9 years. Mean (SD BMI in menstruated and non-menstruated girls were 21.97 (4.5 and 19.17 (3.7, respectively. Mean (SD weight and height of the menstruated girls were 53.65 (12.3 kg and 156.06 (5.5 cm, respectively which are higher than respective figures of the non-menstruated participants 43.70 (10.7 kg and 150.21 (6.3 cm, respectively. Our results revealed a significant correlation between BMI and menarche age.Conclusion: Menarche age and BMI are significantly correlated with higher BMI related to lower menarche age.

  15. Body mass index and age of menarche in young girls

    Directory of Open Access Journals (Sweden)

    Dina Olivia

    2012-11-01

    Full Text Available Background Currently the age at onset of menarche is earlier than in the past. Nutritional status has an important role in the onset of menarche. Past studies have shown an association between body mass index (BMI in young girls and earlier onset of menarche. Objective To assess an association between BMI and age at onset of menarche. Methods This cross-sectional study was conducted in young girls aged 10 to 15 years from Immanuel Elementary and Junior High School, Medan in June 2010. We used purposive sampling to recruit subjects. After subjects underwent height and weight measurements, we calculated their BMI. The association between BMI and initial age of menarche was assessed by Chi square test (P 95th percentile of BMI (obese. All obese subjects had an earlier onset of menarche at ages 10-11 years, compared to that of non-obese subjects (P=0.0001. Conclusion Young girls with BMI > 95th percentile had an earlier age at onset of menarche than young girls with lower BMI.

  16. Association between Asthma and Body Mass Index in Children

    Directory of Open Access Journals (Sweden)

    Babak Amra

    2005-03-01

    Full Text Available Obesity has been reported to be associated with an increase in asthma in children. If there is any association, it could be attributed to an effect of obesity on lung volume and thus airway’s obstruction. Data from 2413 children aged 7–12 years in Isfahan were analyzed. The subjects were included in this study if data were available for: height, weight, age, lung volume, and any measure of asthma, including history of diagnosed asthma, wheeze, chronic cough, and medication as obtained by questionnaire. Body mass index (BMI percentiles, divided into quintiles per year age, were used as a measure of standardized weight.After adjusting for, sex, age, smoking and family history, BMI was a significant risk factor for wheeze ever (p = 0.000 and asthma ever (p = 0.000, diagnosed asthma (P=0.000 and current asthma (p = 0.000. There was no significant correlation between BMI and obstructive spirometry. Increased BMI was significantly associated with an increased airway resistance.Despite the fact that higher BMI is a risk factor for, wheeze ever, wheeze and dyspnea in the last 12 months, and diagnosed asthma, higher BMI is not a risk factor for obstructive pattern in pulmonary function test.

  17. EFFECT OF BODY MASS INDEX ON COLORECTAL CANCER

    Institute of Scientific and Technical Information of China (English)

    张霁; 苏向前; 郑俊全; 顾晋; 宗祥龙; 王怡; 季加孚

    2003-01-01

    Objective: To evaluate the association between obesity and the risk of colorectal cancer. Methods: 331 patients with rectal cancer and 175 with colon cancer who accepted surgical operation at Beijing Cancer Hospital during 1995 and 2002 were enrolled. Data were collected by reviewing the pathology materials and hospital records. 258 healthy people who accepted health examination at Beijing Cancer Hospital during 2000 and 2002 were also enrolled as control. Data of height, weight and gender at the time of examination were also collected. Obesity was estimated by body mass index (BMI), computed as weight in kilograms divided by height in meters squared (kg/m2). The degree of obesity was compared between the two groups using BMI(18.5, 24-27.9 and (28 (kg/m2) as the cut-off points for underweight, overweight and obesity. Associations with obesity were estimated by odds ratios (ORs) and 95% confidence intervals (CIs). All ORs were adjusted for age and sex. Results: Obesity was significantly prevalent in female patients with rectal cancer. All the patients with colon cancer showed lower level of BMI than control subjects. The ORs for rectal cancer rose with increasing BMI in women. Meanwhile, the ORs for colon cancer dropped with increasing BMI in both men and women. Obesity was an independent risk factor for rectal cancer, but not an independent risk factor for colon cancer. Conclusion: Rectal cancer and colon cancer may have different biological behavior. Obese women have relatively high risk for rectal cancer.

  18. Effects of body mass index on sleep patterns during pregnancy.

    LENUS (Irish Health Repository)

    Kennelly, M M

    2011-01-01

    The purpose of this study was to profile sleep patterns during pregnancy according to body mass index (BMI) and to correlate labour outcomes with both BMI and hours sleep. Data were collected from 200 postpartum women detailing sleep characteristics before and during pregnancy. A validated sleep questionnaire was employed, which comprised of questions about sleep apnoea, snoring, subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication and daytime dysfunction. Descriptive analyses were used. With advancing gestation, the mean (SD) number of hours sleep per night declined: pre-pregnancy 8.1 (SD 1.4); 1st trimester 8.3 (SD 1.8); 2nd trimester 7.7 (SD 1.7) and 3rd trimester 6.7 (SD 2.2). In the 18.5-24.9 BMI group, there was a marked difference in hours sleep per night from pre-pregnancy to 1st (8.6 h, p = 0.007), 2nd (7.9 h, p = 0.023) and 3rd (6.4 h, p = 0.000) trimesters in primiparous women. In the 25-29.9 BMI group, there was a difference from pre-pregnancy to 3rd trimester (p = 0.000). These changes were not reflected in a clinically significant difference in birth weight or mode of delivery.

  19. Determinants of body mass index in children and adolescents

    Directory of Open Access Journals (Sweden)

    Bukara-Radujković Gordana

    2008-01-01

    Full Text Available INTRODUCTION Body Mass Index (BMI in boys and girls is predicted by parental BMI, age and occupation. OBJECTIVE Correlation of BMI among children and adolescents in Banjaluka region (Bosnia and Herzegovina and parental age, BMI, parents’ educational level and occupation, as well as the number of family members were investigated as the possible determinants of overweight and obesity in childhood. METHOD The study included 1204 children and adolescents (578 males, 626 females, 6-17 years old from primary and secondary schools in the Banjaluka region. BMI was calculated from height and weight using the standard formula. Each subject along with his parents answered the questionnaire that contained information about parents’ height and weight, educational level and occupation, as well as the number of family members. RESULTS In all studied children, the prevalence of overweight was 12.2% and of obesity 6.1%. Strong positive correlation was found between parental BMI and age (older than 40 years in males and females (p<0.001, while parental higher BMI and higher educational level had positive correlation only in males (p<0.001. The number of family members showed negative correlation with overweight/obesity only in females. CONCLUSION The prevalence of overweight and obesity in children’s population in the Banjaluka region is 12.2% and 6.1%, respectively. There is a positive correlation of overweight and obesity in children with parental overweight and obesity, as well as older age, and parental higher educational level.

  20. Higher Body Mass Index Is Associated with Subjective Olfactory Dysfunction

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    Z. M. Patel

    2015-01-01

    Full Text Available Background. Morbidly obese patients demonstrate altered olfactory acuity. There has been no study directly assessing Body Mass Index (BMI in patients with olfactory dysfunction. Our purpose was to compare BMI in a group of patients with subjective olfactory dysfunction to those without subjective olfactory complaints. Methods. Retrospective matched case-control study. Sixty patients who presented to a tertiary care otolaryngology center with subjective smell dysfunction over one year were identified. Neoplastic and obstructive etiologies were excluded. Demographics, BMI, and smoking status were reviewed. Sixty age, gender, and race matched control patients were selected for comparison. Chi-square testing was used. Results. 48 out of 60 patients (80% in the olfactory dysfunction group fell into the overweight or obese categories, compared to 36 out of 60 patients (60% in the control group. There was a statistically significant difference between the olfactory dysfunction and control groups for this stratified BMI (p= 0.0168.  Conclusion. This study suggests high BMI is associated with olfactory dysfunction. Prospective clinical research should examine this further to determine if increasing BMI may be a risk factor in olfactory loss and to elucidate what role olfactory loss may play in diet and feeding habits of obese patients.

  1. Percent body fat is a better predictor of cardiovascular risk factors than body mass index

    OpenAIRE

    Qiang Zeng; Sheng-Yong Dong; Xiao-Nan Sun; Jing Xie; Yi Cui

    2012-01-01

    The objective of the present study was to evaluate the predictive values of percent body fat (PBF) and body mass index (BMI) for cardiovascular risk factors, especially when PBF and BMI are conflicting. BMI was calculated by the standard formula and PBF was determined by bioelectrical impedance analysis. A total of 3859 ambulatory adult Han Chinese subjects (2173 males and 1686 females, age range: 18-85 years) without a history of cardiovascular diseases were recruited from February to Septem...

  2. Body-esteem, body mass index, and risk for disordered eating among adolescents in synchronized swimming.

    Science.gov (United States)

    Ferrand, Claude; Magnan, Claire; Philippe, Roberta Antonini

    2005-12-01

    The aim of this study was to examine dimensions of body-esteem, Body Mass Index, and their relations with eating disorder symptoms among 42 elite adolescent athletes engaged in competitive synchronized swimming (M = 15.4 yr., SD = 1.2) and to compare them with 40 athletes in sports with no emphasis on leanness (M = 16.5 yr., SD = .93), and 50 nonathlete college female students (M = 16.3 yr., SD = 1.1). They completed the Body-esteem Scale and the Eating Attitudes Test, and the Body Mass Index was computed. Analysis showed synchronized swimmers reported greater negative feelings about their appearance than the two other groups and low perceptions of how others evaluate their physical appearance. Participants did not differ on the EAT-26. Regression analyses showed that Body Mass Index and Body-esteem Appearance accounted for 38% of the variance in log-transformed Dieting scores of synchronized swimmers. Results are discussed in relation to the literature. PMID:16491692

  3. Association of Body Mass Index and Body Mass Index Change with Mortality in Incident Peritoneal Dialysis Patients

    Directory of Open Access Journals (Sweden)

    Liping Xiong

    2015-10-01

    Full Text Available Although high body mass index (BMI appears to confer a survival advantage in hemodialysis patients, the association of BMI with mortality in continuous ambulatory peritoneal dialysis (CAPD patients is uncertain. We enrolled incident CAPD patients and BMI was categorized according to World Health Organization classification for Asian population. BMI at baseline and one year after the initiation of peritoneal dialysis (PD treatment was assessed to calculate the BMI change (∆BMI. Patients were split into four categories according quartiles of ∆BMI. Kaplan-Meier method and Cox regression proportional hazard analysis were performed to assess the association of BMI on outcomes. A total of 1263 CAPD patients were included, with a mean age of 47.8 ± 15.0 years, a mean BMI of 21.58 ± 3.13 kg/m2. During a median follow-up of 25.3 months, obesity was associated with increased risk for cardiovascular diseases (CVD death (adjusted hazard ratio (AHR 2.01; 95% CI 1.14, 3.54, but not all-cause mortality. Additionally, patients with more BMI decline (>0.80% during the first year after CAPD initiation had an elevated risk for both all-cause (AHR: 2.21, 95% CI 1.23–3.95 and CVD mortality (AHR 2.31, 95% CI 1.11, 4.84, which was independent of baseline BMI values.

  4. The effects of maternal body mass index on pregnancy outcome.

    LENUS (Irish Health Repository)

    Khashan, A S

    2012-01-31

    The increasing prevalence of obesity is presenting a critical challenge to healthcare services. We examined the effect of Body Mass Index in early pregnancy on adverse pregnancy outcome. We performed a population register-based cohort study using data from the North Western Perinatal survey (N = 99,403 babies born during 2004-2006), based at The University of Manchester, UK. The main outcome measures were Caesarean section delivery, preterm birth, neonatal death, stillbirth, Macrosomia, small for gestational age and large for gestational age. The risk of preterm birth was reduced by almost 10% in overweight (RR = 0.89, [95% CI: 0.83, 0.95]) and obese women (RR = 0.90, [95% CI: 0.84, 0.97]) and was increased in underweight women (RR = 1.33, [95% CI: 1.16, 1.53]). Overweight (RR = 1.17, [95% CI: 1.09, 1.25]), obese (RR = 1.35, [95% CI: 1.25, 1.45]) and morbidly obese (RR = 1.24, [95% CI: 1.02, 1.52]) women had an elevated risk of post-term birth compared to normal women. The risk of fetal macrosomia and operative delivery increased with BMI such that morbidly obese women were at greatest risk of both (RR of macrosomia = 4.78 [95% CI: 3.86, 5.92] and RR of Caesarean section = 1.66 [95% CI: 1.61, 1.71] and a RR of emergency Caesarean section = 1.59 [95% CI: 1.45, 1.75]). Excessive leanness and obesity are associated with different adverse pregnancy outcomes with major maternal and fetal complications. Overweight and obese women have a higher risk of macrosomia and Caesarean delivery and lower risk of preterm delivery. The mechanism underlying this association is unclear and is worthy of further investigation.

  5. The Impact of Body Mass Index on Heterotopic Ossification

    International Nuclear Information System (INIS)

    Purpose: To analyze the impact of different body mass index (BMI) as a surrogate marker for heterotopic ossification (HO) in patients who underwent surgical repair (SR) for displaced acetabular fractures (DAF) followed by radiation therapy (RT). Methods and Materials: This is a single-institution retrospective study of 395 patients. All patients underwent SR for DAF followed by RT ± indomethacin. All patients received postoperative RT, 7 Gy, within 72 h. The patients were separated into four groups based on their BMI: 30. The end point of this study was to evaluate the efficacy of RT ± indomethacin in preventing HO in patients with different BMI. Results: Analysis of BMI showed an increasing incidence of HO with increasing BMI: 30 (31%), 51 of 167. Chi-square and multivariate logistic regression analysis showed that the correlation between odds of HO and BMI is significant, p < 0.0001. As the BMI increased, the risk of HO and Brooker Classes 3, 4 HO increased. The risk of developing HO is 1.0× (10%) more likely among those with higher BMI compared with those with lower BMI. For a one-unit increase in BMI the log odds of HO increases by 1.0, 95% CI (1.06–1.14). Chi-square test shows no significant difference among all other factors and HO (e.g., indomethacin, race, gender). Conclusions: Despite similar surgical treatment and prophylactic measures (RT ± indomethacin), the risk of HO appears to significantly increase in patients with higher BMI after DAF. Higher single-fraction doses or multiple fractions and/or combination therapy with nonsteroidal inflammatory drugs may be of greater benefit to these patients.

  6. Leptin and body mass index in polycystic ovary syndrome

    Science.gov (United States)

    Jalilian, Nasrin; Haghnazari, Lida; Rasolinia, Samira

    2016-01-01

    Objective: Polycystic ovary syndrome (PCOS) is a common endocrine disorder associated with obesity. Human and animal studies showed a direct relationship between leptin level and obesity, however, results from different studies were mixed. This study investigated the status of leptin level in PCOS and its relationship with body mass index (BMI) in a group of Iranian women with PCOS. Methods: In this cross-sectional study, 40 women with PCOS and 36 healthy women were assigned to experimental and control groups, respectively. Those in the PCOS group were not prescribed any medications for 3 months prior to the study. Fasting blood samples were then collected during the 2nd or 3rd day of menstruation for laboratory measurement of serum total leptin, blood glucose (fasting blood sugar), serum insulin, follicle-stimulating hormone, and luteinizing hormone (LH). Results: Mean BMI of the PCOS and control groups were 26.62 ± 4.03 kg/m2 and 23.52 ± 2.52 kg/m2, respectively (P = 0.006). The mean total leptin in the PCO group was also 10.69 ± 5.37 ng/mL and 5.73 ± 2.36 ng/mL in the control group (P = 0.0001). A significant relationship was found between leptin level and BMI as well as LH level among women with PCOS (P 0.05). Conclusion: The results of this study indicated an increased leptin level among women with PCOS that positively associated with BMI and LH. PMID:27186548

  7. Body Mass Index and Employment-Based Health Insurance

    Directory of Open Access Journals (Sweden)

    Franks Peter

    2008-05-01

    Full Text Available Abstract Background Obese workers incur greater health care costs than normal weight workers. Possibly viewed by employers as an increased financial risk, they may be at a disadvantage in procuring employment that provides health insurance. This study aims to evaluate the association between body mass index [BMI, weight in kilograms divided by the square of height in meters] of employees and their likelihood of holding jobs that include employment-based health insurance [EBHI]. Methods We used the 2004 Household Components of the nationally representative Medical Expenditure Panel Survey. We utilized logistic regression models with provision of EBHI as the dependent variable in this descriptive analysis. The key independent variable was BMI, with adjustments for the domains of demographics, social-economic status, workplace/job characteristics, and health behavior/status. BMI was classified as normal weight (18.5–24.9, overweight (25.0–29.9, or obese (≥ 30.0. There were 11,833 eligible respondents in the analysis. Results Among employed adults, obese workers [adjusted probability (AP = 0.62, (0.60, 0.65] (P = 0.005 were more likely to be employed in jobs with EBHI than their normal weight counterparts [AP = 0.57, (0.55, 0.60]. Overweight workers were also more likely to hold jobs with EBHI than normal weight workers, but the difference did not reach statistical significance [AP = 0.61 (0.58, 0.63] (P = 0.052. There were no interaction effects between BMI and gender or age. Conclusion In this nationally representative sample, we detected an association between workers' increasing BMI and their likelihood of being employed in positions that include EBHI. These findings suggest that obese workers are more likely to have EBHI than other workers.

  8. Do early life factors influence body mass index in adolescents?

    Directory of Open Access Journals (Sweden)

    M.Z. Goldani

    2007-09-01

    Full Text Available The association between early life factors and body mass index (BMI in adulthood has been demonstrated in developed countries. The aim of the present study was to assess the influence of early life factors (birth weight, gestational age, maternal smoking, and social class on BMI in young adulthood with adjustment for adult socioeconomic position. A cohort study was carried out in 1978/79 with 6827 mother-child pairs from Ribeirão Preto city, located in the most developed economic area of the country. Biological, economic and social variables and newborn anthropometric measurements were obtained shortly after delivery. In 1996, 1189 males from this cohort, 34.3% of the original male population, were submitted to anthropometric measurements and were asked about their current schooling on the occasion of army recruitment. A multiple linear regression model was applied to determine variables associated with BMI. Mean BMI was 22.7 (95%CI = 22.5-23.0. After adjustment, BMI was 1.22 kg/m² higher among infants born with high birth weight (³4000 g, 1.21 kg/m² higher among individuals of low social class at birth and 0.69 kg/m² higher among individuals whose mothers smoked during pregnancy (P < 0.05. The association between social class at birth and BMI remained statistically significant (P < 0.05 even after adjustment for adult schooling. These findings suggest that early life social influences on BMI were more important and were not reversed by late socioeconomic position. Therefore, prevention of overweight and obesity should focus not only on changes in adult life styles but also on factors such as high birth weight.

  9. Body mass index and dynamic lung volumes in office workers

    International Nuclear Information System (INIS)

    To measure the association of body mass index (BMI) to lung volumes assessed by spirometer. Study Design: Cross-sectional analytical study. Place and Duration of Study: Department of Physiology and Cell Biology, University of Health Sciences, Lahore, from February to August 2009. Methodology: Two hundred and twenty-five apparently healthy adult office workers of either gender aged > 20 years were recruited. Height and weight were measured and BMI was calculated as kg/m2. Subjects were categorized as normal (BMI=18.5 to 24.9 kg/m2); overweight (BMI=25 to 29.9 kg/m2); and obese Class 1 (BMI=30 to 34.9 kg/m2) on the basis of BMI. Lung volumes were measured by digital spirometer and were reported as percentage of predicted values for forced vital capacity (FVC%), forced expiratory volume in first second (FEV1%) and ratio of FEV1 to FVC (FEV1:FVC). Groups were compared using t-test and ANOVA, correlation was assessed by Pearson's 'r'. Results: Significant differences in lung volumes were found in different BMI categories. Obese subjects had significantly lower FVC% (p < 0.0001), as well as significantly lower FEV1% (p = 0.003) as compared to normal subjects. There were significant linear relationships between obesity and PFTs. BMI had significant negative linear association with FVC% in overweight (r = -0.197) and obese (r = - 0.488); and with FEV1% in obese subjects (r = -0.510). Gender and age had no significant effect on mean values of PFTs. Conclusion: Obese individuals in this sample had significant decline in lung volumes. (author)

  10. Association between Body Mass Index and Mitral Valve Prolapse

    Directory of Open Access Journals (Sweden)

    Malihe Mojaver Borabadi

    2016-03-01

    Full Text Available Introduction: Body mass index (BMI can affect cardiac morphology; however, the relationship between BMI and valvular heart diseases has not been thoroughly evaluated. This study aimed to determine the relationship between BMI and mitral valve prolapse (MVP as one of the most common valve diseases worldwide. It can help us to better understand pathophysiology of this common disease. Materials and Methods: In this descriptive study we enrolled 200 patients with isolated MVP. This patient was referred from 2014 to 2015 to our cardiology clinic in Mashhad, Iran, with chief complaint of chest pain, dyspnea, and palpitation. patients underwent transthoracic echocardiography. We document the patients’ height, weight, and demographics data. BMI distribution was categorized as higher and lower than 18.5 kg/m2. Chi- square and independent samples t-test were performed using SPSS version 19 to analyze the data. Results: The results showed that 92 (46% and 108 (54% of the samples were male and female, respectively, and their mean age was 24.29±3.75 years. Most of the patients(n=110 had low BMI (55% of the patients had BMI lower than 18.5 kg/m2. Left atrial and ventricular diameters had a significant relationship with BMI of all the underweight patients(n=110 (P=0.026 and 0.032, respectively. The main complaints were chest pain (n=55,50% and dyspnea (n=58,64.44% in the patients with low and normal BMI, respectively. Conclusion: Symptoms and echocardiographic features in MVP patients vary with BMI. While mitral valve annulus diameter was the same in both BMI groups, the results showed that left atrial and ventricular diameters in the underweight patients were less than those with normal BMI.

  11. The Joint Effects of Body Mass Index and MAOA Gene Polymorphism on Depressive Symptoms.

    Science.gov (United States)

    Liu, Yangyang

    2015-07-01

    The objective of the present study was to examine the joint effects of the body mass index and the MAOA gene polymorphism on depressive symptoms. In two independent Chinese samples, we measured adolescents' depressive symptoms and body mass index and collected their DNA. The results indicated that the main effects of the MAOA gene polymorphism on depressive symptoms were significant. However, the main effects of body mass index and the interaction of the MAOA gene polymorphism and body mass index on depressive symptoms were not significant. By using Chinese adolescents, this study confirmed that the MAOA gene polymorphism directly influenced adolescents' depressive symptoms. PMID:26207137

  12. A study on body mass index and its correlation with type 2 diabetes

    Directory of Open Access Journals (Sweden)

    Subhash Chand Jain

    2014-08-01

    Full Text Available Obesity and increases in body weight are among the most important risk factors for type 2 diabetes mellitus. Obesity contributes to the development of type 2 diabetes mellitus. Body mass index is also known as obesity index. Body mass index is a strong and independent risk factor for being diagnosed in cases of type 2 diabetes mellitus. There is a high risk of type 2 diabetes in those who have a higher body mass index. The present study has been done with the objective of finding correlation between BMI and type 2 diabetes. [Int J Res Med Sci 2014; 2(4.000: 1638-1641

  13. Association between body mass index and in-hospital outcomes

    Science.gov (United States)

    Akinyemiju, Tomi; Meng, Qingrui; Vin-Raviv, Neomi

    2016-01-01

    Abstract Importance: Over one-third of American adults (36%) are obese and more than two-thirds (69%) are overweight. The impact of obesity on hospitalization outcomes is not well understood. Objective: To examine the association between body mass index (BMI) and overall, cancer, chronic obstructive pulmonary disease (COPD), asthma, and cardiovascular disease (CVD)-specific in-hospital mortality; postsurgical complications; and hospital length of stay (LOS). Design: Cross-sectional study. Setting: Representative sample of US hospitals included in the Health Cost and Utilization Project Nationwide Inpatient Sample database. Participants: We obtained data for patients admitted with a primary diagnosis of cancer, COPD, asthma, and CVD. Main Outcome: In-hospital mortality, postsurgical complications, and hospital LOS. Results: A total of 800,417 patients were included in this analysis. A higher proportion of Blacks (26.8%; 12.5%) and Whites (23.3%; 8.7%) had BMI of 40 to 49.9 and ≥50, respectively, compared with Hispanics (20.4%; 7.3%). Compared with normal BMI patients, the odds of in-hospital mortality increased 3.6-fold (odds ratio [OR] 3.62, 95% confidence interval [CI]: 3.37–3.89) for preobese patients, 6.5-fold (OR: 6.52, 95% CI: 5.79–7.34) for patients with BMI: 30 to 31.9, 7.5-fold (OR: 7.57, 95% CI: 6.67–8.59) for patients with BMI: 34 to 35.9, and 1.6- fold (OR: 1.77, 95% CI: 1.56–1.79) for patients with BMI ≥ 50. Compared with normal BMI patients, preobese and overweight patients had shorter hospital stays (β preobese: −1.58, 95% CI: −1.63, −1.52); however, no clear trends were observed for postsurgical complications. Conclusions: The majority of hospitalized patients in this analysis had a BMI > 30, and higher BMI was associated with increased risk of mortality and longer hospital stay. PMID:27428218

  14. Effect of body mass index on adenocarcinoma of gastric cardia

    Institute of Scientific and Technical Information of China (English)

    Ji Zhang; Xiang-Qian Su; Xiao-Jiang Wu; Ya-Hang Liu; Hua Wang; Xiang-Nong Zong; Yi Wang; Jia-Fu Ji

    2003-01-01

    AIM: Obesity has been proved as one of the main risk factors for gastric cardia adenocarcinoma (GCA) in the West.The objective of our research was to evaluate the relationship between obesity and the risk of GCA in people from North China.METHODS: A total of 300 patients who had been diagnosed as GCA and had accepted surgical operation at Beijing Cancer Hospital from 1995 to 2002 were enrolled. Data were collected from pathology materials and hospital records. Two hundred and fifty-eight healthy people who had accepted health examination at the same hospital during the same period were enrolled as controls. Height, weight and gender of them at the time of examination were also collected.Obesity was estimated by body mass index (BMI), computed as weight in kilograms per square surface area (Kg/m2).The degree of obesity was determined by using BMI≤ 18.5,24-27.9 and ≥28 (Kg/m2) as the cut-off points for underweight/normal, overweight and obesity, respectively.Associations with obesity were estimated by odds ratios (ORs) and 95 % confidence intervals (CIs). All ORs were adjusted for age and sex.RESULTS: The mean level of BMI was significantly lower in the patient group than that in the control group. The ORs for obesity in age groups 30-59 and 60-79 were 1.15 (95 %CI=0.37-3.65) and 0.16 (95 % CI=0.05-0.44) for males and 0.78 (95 % CI=0.26-2.36) and 0.28 (95 % CI=0.04-2.05)for females, respectively. The ORs for underweight were 2.42 (95 % CI=0.56-10.53) and 4.68 (95 % CI=1.13-19.40)for males in age subgroups 30-59 and 60-79 and 40.7 (95 %CI=9.32-177.92) for females older than 60 yrs. BMI was significantly associated with GCA (P<0.01). Underweight people were at high risk for GCA.CONCLUSION: BMI is an independent risk factor for GCA.Underweight is positively associated with GCA.

  15. Intestinal Microbiota Is Influenced by Gender and Body Mass Index.

    Directory of Open Access Journals (Sweden)

    Carmen Haro

    Full Text Available Intestinal microbiota changes are associated with the development of obesity. However, studies in humans have generated conflicting results due to high inter-individual heterogeneity in terms of diet, age, and hormonal factors, and the largely unexplored influence of gender. In this work, we aimed to identify differential gut microbiota signatures associated with obesity, as a function of gender and changes in body mass index (BMI. Differences in the bacterial community structure were analyzed by 16S sequencing in 39 men and 36 post-menopausal women, who had similar dietary background, matched by age and stratified according to the BMI. We observed that the abundance of the Bacteroides genus was lower in men than in women (P 33. In fact, the abundance of this genus decreased in men with an increase in BMI (P<0.001, Q<0.001. However, in women, it remained unchanged within the different ranges of BMI. We observed a higher presence of Veillonella (84.6% vs. 47.2%; X2 test P = 0.001, Q = 0.019 and Methanobrevibacter genera (84.6% vs. 47.2%; X2 test P = 0.002, Q = 0.026 in fecal samples in men compared to women. We also observed that the abundance of Bilophila was lower in men compared to women regardless of BMI (P = 0.002, Q = 0.041. Additionally, after correcting for age and sex, 66 bacterial taxa at the genus level were found to be associated with BMI and plasma lipids. Microbiota explained at P = 0.001, 31.17% variation in BMI, 29.04% in triglycerides, 33.70% in high-density lipoproteins, 46.86% in low-density lipoproteins, and 28.55% in total cholesterol. Our results suggest that gut microbiota may differ between men and women, and that these differences may be influenced by the grade of obesity. The divergence in gut microbiota observed between men and women might have a dominant role in the definition of gender differences in the prevalence of metabolic and intestinal inflammatory diseases.

  16. Intestinal Microbiota Is Influenced by Gender and Body Mass Index

    Science.gov (United States)

    Haro, Carmen; Rangel-Zúñiga, Oriol A.; Alcalá-Díaz, Juan F.; Gómez-Delgado, Francisco; Pérez-Martínez, Pablo; Delgado-Lista, Javier; Quintana-Navarro, Gracia M.; Landa, Blanca B.; Navas-Cortés, Juan A.; Tena-Sempere, Manuel; Clemente, José C.; López-Miranda, José

    2016-01-01

    Intestinal microbiota changes are associated with the development of obesity. However, studies in humans have generated conflicting results due to high inter-individual heterogeneity in terms of diet, age, and hormonal factors, and the largely unexplored influence of gender. In this work, we aimed to identify differential gut microbiota signatures associated with obesity, as a function of gender and changes in body mass index (BMI). Differences in the bacterial community structure were analyzed by 16S sequencing in 39 men and 36 post-menopausal women, who had similar dietary background, matched by age and stratified according to the BMI. We observed that the abundance of the Bacteroides genus was lower in men than in women (P 33. In fact, the abundance of this genus decreased in men with an increase in BMI (P<0.001, Q<0.001). However, in women, it remained unchanged within the different ranges of BMI. We observed a higher presence of Veillonella (84.6% vs. 47.2%; X2 test P = 0.001, Q = 0.019) and Methanobrevibacter genera (84.6% vs. 47.2%; X2 test P = 0.002, Q = 0.026) in fecal samples in men compared to women. We also observed that the abundance of Bilophila was lower in men compared to women regardless of BMI (P = 0.002, Q = 0.041). Additionally, after correcting for age and sex, 66 bacterial taxa at the genus level were found to be associated with BMI and plasma lipids. Microbiota explained at P = 0.001, 31.17% variation in BMI, 29.04% in triglycerides, 33.70% in high-density lipoproteins, 46.86% in low-density lipoproteins, and 28.55% in total cholesterol. Our results suggest that gut microbiota may differ between men and women, and that these differences may be influenced by the grade of obesity. The divergence in gut microbiota observed between men and women might have a dominant role in the definition of gender differences in the prevalence of metabolic and intestinal inflammatory diseases. PMID:27228093

  17. Motor Proficiency and Body Mass Index of Preschool Children: In Relation to Socioeconomic Status

    Science.gov (United States)

    Mülazimoglu-Balli, Özgür

    2016-01-01

    The aim of the study was to investigate the correlation between motor proficiency and body mass index and to assess the socioeconomic status differences in motor proficiency and body mass index of preschool children. Sixty preschool children in the different socioeconomic status areas of central Denizli in Turkey participated in the study. The…

  18. Scaling of human body mass with height: the Body Mass Index revisited

    CERN Document Server

    MacKay, N J

    2009-01-01

    We adapt a biomechanical argument of Rashevsky, which places limits on the stress experienced by a torso supported by the legs, to deduce that body mass $m$ of growing children should scale as the $p$th power of height $h$ with $7/3

  19. The Relationship between Physical Activity Level, Body Mass Index, and Body Fat Percentages in Urban and Rural Elementary School Students

    Science.gov (United States)

    Orhan, Özlem

    2015-01-01

    The purpose of this study is to compare the physical activity levels, physical activity types, Body Mass Index (BMI) and body fat percentage (BF%) values of elementary school students living in rural and urban. Body height (BH), body weight (BW), BF% and BMI data were measured. Physical activity questionnaire was conducted to determine the…

  20. Effects of Body Mass Index and Full Body Kinematics on Tennis Serve Speed

    Science.gov (United States)

    Wong, Francis KH; Keung, Jackie HK; Lau, Newman ML; Ng, Douglas KS; Chung, Joanne WY; Chow, Daniel HK

    2014-01-01

    Effective training to improve serve speed is important for competitive tennis players. The purposes of this study were to investigate the effects of anthropometric factors and whole body kinematics of elite players on ball speed and to propose possible training strategies for improving the quality of tennis serves. Body and racket kinematics of tennis serves of 12 male elite Hong Kong players were investigated. The tennis serve was divided into four phases: I) Back-Swing Phase, II) Lead-Leg-Drive Phase, III) Forward-Swing Phase, and IV) Follow-Through Phase. It was shown that racket-side knee range of motion during phases II and III (r=0.705; p<0.05), racket-side knee peak extension velocity during phase II (r=0.751; p<0.01), racket-side hip peak extension velocity during phase II (r=0.657; p<0.05), racket-side shoulder range of motion in the coronal plane during phase III (r=0.616; p<0.05), racket-side elbow peak extension velocity during phase III (r=0.708; p<0.01) and body mass index (r=0.577; p<0.05) were significantly correlated with ball speed. Body mass index and the identified kinematic parameters that were significantly correlated with ball speed could be used as training guidelines for coaches and players to improve serve speed. Players should pay particular attention in training to increasing the extension velocity and range of motion of the identified joints. PMID:25031669

  1. Association between body mass index and breast density using digital mammography

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Mi Young [Dept. of Diagnostic Radiology, Dankook University Hospital, Cheonan (Korea, Republic of); Kim, Hwa Sun [Dept. of Radiological Technology, Ansan University, Ansan (Korea, Republic of)

    2014-12-15

    It is well known that low body mass index and younger age are associated with high breast density. Mammographic dense breast has been reported both as a cause of false-negative findings on mammography and as an indicator of increased breast cancer risk. The purpose of this study was to evaluate the association between breast density and body mass index. Furthermore, we considered proper screening method of breast cancer in Korean women. The study was performed on 496 women who underwent health checkup in a university hospital. Age and body mass index were negatively associated with breast density respectively. In postmenopausal women, age and body mass index showed statistically significant association with breast density. Therefore, we should consider sensitive additional method for breast cancer screening especially in younger age and underweight women.

  2. Body adiposity index versus body mass index and other anthropometric traits as correlates of cardiometabolic risk factors.

    Directory of Open Access Journals (Sweden)

    Charlene T Lichtash

    Full Text Available OBJECTIVE: The worldwide prevalence of obesity mandates a widely accessible tool to categorize adiposity that can best predict associated health risks. The body adiposity index (BAI was designed as a single equation to predict body adiposity in pooled analysis of both genders. We compared body adiposity index (BAI, body mass index (BMI, and other anthropometric measures, including percent body fat (PBF, in their correlations with cardiometabolic risk factors. We also compared BAI with BMI to determine which index is a better predictor of PBF. METHODS: The cohort consisted of 698 Mexican Americans. We calculated correlations of BAI, BMI, and other anthropometric measurements (PBF measured by dual energy X-ray absorptiometry, waist and hip circumference, height, weight with glucose homeostasis indices (including insulin sensitivity and insulin clearance from euglycemic clamp, lipid parameters, cardiovascular traits (including carotid intima-media thickness, and biomarkers (C-reactive protein, plasminogen activator inhibitor-1 and adiponectin. Correlations between each anthropometric measure and cardiometabolic trait were compared in both sex-pooled and sex-stratified groups. RESULTS: BMI was associated with all but two measured traits (carotid intima-media thickness and fasting glucose in men, while BAI lacked association with several variables. BAI did not outperform BMI in its associations with any cardiometabolic trait. BAI was correlated more strongly than BMI with PBF in sex-pooled analyses (r = 0.78 versus r = 0.51, but not in sex-stratified analyses (men, r = 0.63 versus r = 0.79; women, r = 0.69 versus r = 0.77. Additionally, PBF showed fewer correlations with cardiometabolic risk factors than BMI. Weight was more strongly correlated than hip with many of the cardiometabolic risk factors examined. CONCLUSIONS: BAI is inferior to the widely used BMI as a correlate of the cardiometabolic risk factors studied

  3. The CROES percutaneous nephrolithotomy global study: the influence of body mass index on outcome

    DEFF Research Database (Denmark)

    Fuller, Andrew; Razvi, Hassan; Denstedt, John D;

    2012-01-01

    In addition to more commonly forming stones, obese patients present a number of challenges when undergoing percutaneous nephrolithotomy. We evaluated percutaneous nephrolithotomy outcomes in 3,709 patients stratified by body mass index.......In addition to more commonly forming stones, obese patients present a number of challenges when undergoing percutaneous nephrolithotomy. We evaluated percutaneous nephrolithotomy outcomes in 3,709 patients stratified by body mass index....

  4. A STUDY OF ASSOCIATION OF BODY MASS INDEX WITH SEVERITY OF BRONCHIAL ASTHMA IN 132 PATIENTS

    OpenAIRE

    Vijaykumar; Mahavir; Dattatray; Rakhi

    2014-01-01

    As the prevalence of both obesity and severity of asthma are in increasing trend, we study association between body mass index (BMI) and asthma severity in cross sectional study. OBJECTIVE: To study association between Body mass index and Asthma severity METHODOLOGY- We included adults (age >13yrs), who are diagnosed as patients of asthma by Pulmonologist and who are non -smoker, without any other lung pathology, are not on long term systemic steroids. Total of 132 patient...

  5. Body mass index across midlife and cognitive change in late life

    OpenAIRE

    Dahl, Anna K.; Hassing, Linda B.; Fransson, Eleonor I; Gatz, Margaret; Reynolds, Chandra A.; Pedersen, Nancy L.

    2012-01-01

    Background High midlife body mass index (BMI) has been linked to a greater risk of dementia in late life, but few have studied the effect of BMI across midlife on cognitive abilities and cognitive change in a dementia free sample. Methods We investigated the association between body mass index (BMI), measured twice across midlife (mean age 40 and 61 years, respectively), and cognitive change in four domains across two decades in the Swedish Adoption/Twin Study of Aging (SATSA). Results Latent...

  6. The effect of elevated body mass index on ischemic heart disease risk

    DEFF Research Database (Denmark)

    Nordestgaard, Børge G; Palmer, Tom M; Benn, Marianne;

    2012-01-01

    Adiposity, assessed as elevated body mass index (BMI), is associated with increased risk of ischemic heart disease (IHD); however, whether this is causal is unknown. We tested the hypothesis that positive observational associations between BMI and IHD are causal.......Adiposity, assessed as elevated body mass index (BMI), is associated with increased risk of ischemic heart disease (IHD); however, whether this is causal is unknown. We tested the hypothesis that positive observational associations between BMI and IHD are causal....

  7. The Individual Association Between Food Store Types and Body Mass Index in Los Angeles County

    OpenAIRE

    Capone-Newton, Peter

    2013-01-01

    Using the Los Angeles Family and Neighborhood Survey (L.A. FANS), detailed individual-level data on shopping location, store name, and body mass index are analyzed to assess relationships between body mass index and food store types. The analysis groups similar store brands to create unique food store types, providing finer discrimination than industrial classification or annual sales volume. Seven food store types are created: English-language major supermarket chains, discount food stores...

  8. Body mass index in relation to semen quality and reproductive hormones among 1,558 Danish men

    DEFF Research Database (Denmark)

    Jensen, Tina Kold; Andersson, Anne-Maria; Jørgensen, Niels;

    2004-01-01

    To examine the relationship between body mass index (BMI) and semen quality among young men from the general population.......To examine the relationship between body mass index (BMI) and semen quality among young men from the general population....

  9. Personality traits and body mass index in a Korean population.

    Directory of Open Access Journals (Sweden)

    Unjin Shim

    Full Text Available BACKGROUND: Overweight and obesity is a serious problem worldwide related to cardiovascular and other diseases. Personality traits are associated with the abnormal body mass indices (BMIs indicative of overweight and obesity. However, the links between personality traits and BMI have been little studied in Korea. METHODS: We evaluated the association between personality traits and BMI in men and women using the rural Ansung and urban Ansan cohort from the Korean Genome Epidemiology Study, and the Kangbuk Samsung Hospital Cohort Study datasets. A shorter version of the original Revised Neuroticism-Extroversion-Openness Personality Inventory (NEO-PI-R was used to measure the five-factor model of personality (neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness. RESULTS: Data from a total of 1,495 men (mean age 60.0 ± 9.8 years; mean BMI 24.3 ± 3.0 kg/m2 and 2,547 women (mean age 47.0 ± 15.5 years; mean BMI 22.8 ± 3.4 kg/m2 were included in the analysis. Compared with the normal weight groups, overweight and obese men scored higher on openness to experience and lower on conscientiousness. Overweight and obese women scored lower on neuroticism and openness to experience and higher on agreeableness. Extraversion was positively associated with BMI in men (β=0.032, P<0.05. BMI and waist circumference were significantly increased in individuals who were less dutiful. In women, neuroticism was inversely associated with BMI (β=-0.026, P<0.05. Openness to experience was negatively, and agreeableness was positively, associated with BMI (openness to experience: β=-0.072, agreeableness β=0.068 and waist circumference (openness to experience: β=-0.202, agreeableness: β=0.227 (P<0.05. CONCLUSION: Personality traits were associated with underweight, overweight, and obesity in men and women. Increased understanding of the underlying factors contributing to this association will aid in the prevention and treatment of

  10. Body mass index a better predictor of insulin resistance than waist circumference in normoglycemics

    Directory of Open Access Journals (Sweden)

    B.L. Preethi

    2015-04-01

    Full Text Available Background: Body Mass Index (BMI is the most common method of measuring obesity. Many studies have reported that waist circumference is a stronger predictor of insulin resistance in non-type 2 diabetes. The objective of the study was to investigate whether waist circumference (WC or body mass index (BMI is a better predictor insulin resistance. Method: 79 normal young adult volunteers in the age range of 18 to 25 years were enrolled for the Study. All subjects underwent a detailed general physical examination including Blood Pressure, body weight, height, hip & waist circumference. BMI (Body Mass Index, waist and hip circumference & waist hip ratio calculated. 2hr OGTT with serum Insulin was performed and Insulin resistance calculated. Result: Simple clinical measures of obesity like height, weight, waist circumference, hip circumference and their indexes like BMI (body mass index, WHR (waist hip ratio were evaluated and correlated with the measures of Insulin resistance (IR and insulin sensitivity. BMI was found to significantly correlate with most of the IR parameters and there was a trend towards significance with weight. Waist circumference did not correlate significantly with IR parameters. Conclusion: Body Mass Index (BMI is a useful tool in evaluating obesity in normoglycemic subjects. BMI is a better predictor of Insulin Resistance and risk stratification than waist circumference.

  11. Body mass index and waist: hip ratio are not enough to characterise female attractiveness.

    Science.gov (United States)

    Pokrywka, Leszek; Cabrić, Milan; Krakowiak, Helena

    2006-01-01

    The assessment of characteristic body features of Miss Poland beauty contest finalists compared with the control group, can contribute to recognising the contemporary ideal of beauty promoted by the mass media. The studies of Playboy models and fashion models conducted so far have been limited to the following determinants of attractiveness: body mass index, waist:hip ratio, and waist:chest ratio, which only partially describe the body shape. We compared 20 body features of the finalists of Miss Poland 2004 beauty contest with those of the students of Medical Academy in Bydgoszcz. Discriminant analysis showed that the thigh girth-height index, waist: chest ratio, height, and body mass index had the greatest discrimination power distinguishing the two groups. A model of Miss Poland finalists figure assessment is presented which allows one to distinguish super-attractive women from the control group. PMID:17283934

  12. The relationship between body mass index and subjective well-being - the moderating role of body dissatisfaction

    Directory of Open Access Journals (Sweden)

    Brdarić Dragana

    2015-01-01

    Full Text Available Introduction. Excess bodyweight and obesity are widespread health problems throughout the world. In Serbia, over 50% of the adult population is overweight and the Province of Vojvodina is one of the regions with the highest percentage of obesity. The relationship between obesity and health complications has been consistently demonstrated. However, research on the relationship between obesity and subjective well-being has not provided clear results. Body dissatisfaction is considered to be an important factor for understanding this relationship. The main objective of this study was to investigate the moderating effect of body dissatisfaction in the relationship between body mass index and subjective well-being. Material and Methods. The study sample included 731 respondents (72.6% women, with the mean age 28.93 years (SD = 8.47 from the Province of Vojvodina who had completed an online set of tests consisting of Body Shape Questionnaire, Depression Anxiety Stress Scale-21, Satisfaction with Life Scale, Scale of Positive and Negative Experience and a self-assessment of bodyweight and body height. Results. The results indicate that the moderating effect of body dissatisfaction in the relationship between body mass index and indicators of subjective well-being is statistically significant in both sexes. Specifically, the women with higher body mass index values who expressed lower body dissatisfaction reported lower levels of emotional distress and higher levels of pleasant emotions than those with lower body mass index. On the other hand, the men with higher bodyweight preoccupation and low body mass index reported significantly higher levels of pleasant emotions than those with higher body mass index values. Conclusion. These results suggest the necessity of a more detailed study of this relationship on both clinical and general population samples from Serbia.

  13. Body mass index and adult female urinary incontinence

    DEFF Research Database (Denmark)

    Mommsen, Søren; Foldspang, Anders

    1994-01-01

    The aim of the present investigation was to study the possible role of obesity in the etiology of adult female urinary incontinence (UI). A random population sample of 3,114 women aged 30–59 years were mailed a questionnaire concerning UI and, among other things, body weight and height. The overall...

  14. TO STUDY THE BODY IMAGE AMO NG THE ADOLESCENT AGE GROUP AND ITS CORRELATION WITH BODY MASS INDEX

    Directory of Open Access Journals (Sweden)

    Keziah

    2015-04-01

    Full Text Available Body image or satisfaction with physical appearance has been established as an important aspect of self - worth and mental health across lifespan . Given the fact that physical appearance is a multifaceted structural concept that depends not only on inner biological , but also psychological and socio - cultural components , body image is conceived as one’s attitudinal dispositions toward the physical self . The purpose of this study is to evaluate the body image satisfaction - dissa tisfaction among adolescent age group , to correlate the components of body image with body mass index and the influence of parents , peers and mass media on body image .

  15. Bats: Body mass index, forearm mass index, blood glucose levels and SLC2A2 genes for diabetes.

    Science.gov (United States)

    Meng, Fanxing; Zhu, Lei; Huang, Wenjie; Irwin, David M; Zhang, Shuyi

    2016-01-01

    Bats have an unusually large volume of endocrine tissue, with a large population of beta cells, and an elevated sensitivity to glucose and insulin. This makes them excellent animal models for studying diabetes mellitus. We evaluated bats as models for diabetes in terms of lifestyle and genetic factors. For lifestyle factors, we generated data sets of 149 body mass index (BMI) and 860 forearm mass index (FMI) measurements for different species of bats. Both showed negative inter-species correlations with blood glucose levels in sixteen bats examined. The negative inter-species correlations may reflect adaptation of a small insectivorous ancestor to a larger frugivore. We identified an 11 bp deletion in the proximal promoter of SLC2A2 that we predicted would disrupt binding sites for the transcription repressor ZNF354C. In frugivorous bats this could explain the relatively high expression of this gene, resulting in a better capacity to absorb glucose and decrease blood glucose levels. PMID:27439361

  16. Bats: Body mass index, forearm mass index, blood glucose levels and SLC2A2 genes for diabetes

    Science.gov (United States)

    Meng, Fanxing; Zhu, Lei; Huang, Wenjie; Irwin, David M.; Zhang, Shuyi

    2016-01-01

    Bats have an unusually large volume of endocrine tissue, with a large population of beta cells, and an elevated sensitivity to glucose and insulin. This makes them excellent animal models for studying diabetes mellitus. We evaluated bats as models for diabetes in terms of lifestyle and genetic factors. For lifestyle factors, we generated data sets of 149 body mass index (BMI) and 860 forearm mass index (FMI) measurements for different species of bats. Both showed negative inter-species correlations with blood glucose levels in sixteen bats examined. The negative inter-species correlations may reflect adaptation of a small insectivorous ancestor to a larger frugivore. We identified an 11 bp deletion in the proximal promoter of SLC2A2 that we predicted would disrupt binding sites for the transcription repressor ZNF354C. In frugivorous bats this could explain the relatively high expression of this gene, resulting in a better capacity to absorb glucose and decrease blood glucose levels. PMID:27439361

  17. Measuring adiposity in patients: the utility of body mass index (BMI, percent body fat, and leptin.

    Directory of Open Access Journals (Sweden)

    Nirav R Shah

    Full Text Available BACKGROUND: Obesity is a serious disease that is associated with an increased risk of diabetes, hypertension, heart disease, stroke, and cancer, among other diseases. The United States Centers for Disease Control and Prevention (CDC estimates a 20% obesity rate in the 50 states, with 12 states having rates of over 30%. Currently, the body mass index (BMI is most commonly used to determine adiposity. However, BMI presents as an inaccurate obesity classification method that underestimates the epidemic and contributes to failed treatment. In this study, we examine the effectiveness of precise biomarkers and duel-energy x-ray absorptiometry (DXA to help diagnose and treat obesity. METHODOLOGY/PRINCIPAL FINDINGS: A cross-sectional study of adults with BMI, DXA, fasting leptin and insulin results were measured from 1998-2009. Of the participants, 63% were females, 37% were males, 75% white, with a mean age = 51.4 (SD = 14.2. Mean BMI was 27.3 (SD = 5.9 and mean percent body fat was 31.3% (SD = 9.3. BMI characterized 26% of the subjects as obese, while DXA indicated that 64% of them were obese. 39% of the subjects were classified as non-obese by BMI, but were found to be obese by DXA. BMI misclassified 25% men and 48% women. Meanwhile, a strong relationship was demonstrated between increased leptin and increased body fat. CONCLUSIONS/SIGNIFICANCE: Our results demonstrate the prevalence of false-negative BMIs, increased misclassifications in women of advancing age, and the reliability of gender-specific revised BMI cutoffs. BMI underestimates obesity prevalence, especially in women with high leptin levels (>30 ng/mL. Clinicians can use leptin-revised levels to enhance the accuracy of BMI estimates of percentage body fat when DXA is unavailable.

  18. Percent body fat is a better predictor of cardiovascular risk factors than body mass index

    International Nuclear Information System (INIS)

    The objective of the present study was to evaluate the predictive values of percent body fat (PBF) and body mass index (BMI) for cardiovascular risk factors, especially when PBF and BMI are conflicting. BMI was calculated by the standard formula and PBF was determined by bioelectrical impedance analysis. A total of 3859 ambulatory adult Han Chinese subjects (2173 males and 1686 females, age range: 18-85 years) without a history of cardiovascular diseases were recruited from February to September 2009. Based on BMI and PBF, they were classified into group 1 (normal BMI and PBF, N = 1961), group 2 (normal BMI, but abnormal PBF, N = 381), group 3 (abnormal BMI, but normal PBF, N = 681), and group 4 (abnormal BMI and PBF, N = 836). When age, gender, lifestyle, and family history of obesity were adjusted, PBF, but not BMI, was correlated with blood glucose and lipid levels. The odds ratio (OR) and 95% confidence interval (CI) for cardiovascular risk factors in groups 2 and 4 were 1.88 (1.45-2.45) and 2.06 (1.26-3.35) times those in group 1, respectively, but remained unchanged in group 3 (OR = 1.32, 95%CI = 0.92-1.89). Logistic regression models also demonstrated that PBF, rather than BMI, was independently associated with cardiovascular risk factors. In conclusion, PBF, and not BMI, is independently associated with cardiovascular risk factors, indicating that PBF is a better predictor

  19. Body mass index versus percentage body fat in Chinese, African-American and Caucasian postmenopausal women

    Institute of Scientific and Technical Information of China (English)

    Sun Ai-jun; He Qing; Lin Shou-qing; Tian Jun-ping; Stan He-shka; Jack Wang; Steven Heymsfield; Richard N. Pierson; Dympna Gallagher

    2006-01-01

    Objective: The aim of the study was to investigate in postmenopausal women whether the relationship between percentage body fat (PBF) and body mass index (BMI) differs between Asians living in Beijing (BA) and African-Americans (AA), and Caucasians (Ca) living in New York City.Methods: Healthy postmenopausal women (231 BA; 113 AA, 95 Ca), aged 50-80 years, were studied. Weight, height and PBF by dual energy X-ray absorptiometry (DXA) were measured. The relationship between PBF and BMI was assessed by multiple regression analysis. Results: Race, reciprocal of BMI (1/BMI) and the interaction between race and 1/BMI were all significantly (P<0.05) related to PBF in this sample. The slope of the line relating 1/BMI to PBF was different for BA compared to AA (P=0.01) and Ca (P=0.003) while the slopes for AA and Ca were not different (P>0.05). At lower levels of BMI, Asians tended to have higher PBF comparable to AA and Ca, while at BMI >30 BA tended to have less PBF than the other groups. Conclusion: The relation between PBF and BMI in BA postmenopausal women differs from that of AA and Ca women in this sample.

  20. Cerebral serotonin transporter binding is inversely related to body mass index

    DEFF Research Database (Denmark)

    Erritzoe, D; Frokjaer, V G; Haahr, M T;

    2010-01-01

    ) in animal models is inversely related to food intake and body weight and some effective anti-obesity agents involve blockade of the serotonin transporter (SERT). We investigated in 60 healthy volunteers body mass index (BMI) and regional cerebral SERT binding as measured with [(11)C]DASB PET. In a linear...

  1. Zygosity Differences in Height and Body Mass Index of Twins From Infancy to Old Age

    DEFF Research Database (Denmark)

    Jelenkovic, Aline; Yokoyama, Yoshie; Sund, Reijo;

    2015-01-01

    A trend toward greater body size in dizygotic (DZ) than in monozygotic (MZ) twins has been suggested by some but not all studies, and this difference may also vary by age. We analyzed zygosity differences in mean values and variances of height and body mass index (BMI) among male and female twins...

  2. Interaction of clothing and body mass index affects validity of air displacement plethysmography in adults

    Science.gov (United States)

    Objective: Examine the effect of alternate clothing schemes on validity of Bod Pod to estimate percent body fat (BF) compared to dual x-ray absorptiometry (DXA), and determine if these effects differ by body mass index (BMI). Design: Cross-sectional Subjects: 132 healthy adults aged 19-81 classifi...

  3. Female body dissatisfaction after exposure to overweight and thin media images : The role of body mass index and neuroticism

    NARCIS (Netherlands)

    Dalley, Simon E.; Buunk, Abraham P.; Umit, Turul

    2009-01-01

    Exposure to thin media images is thought to play a significant role in the development of body image dissatisfaction (BID) amongst females. In this study we examined whether individual differences in body mass index (BMI) and neuroticism can make females more vulnerable to BID upon exposure to overw

  4. The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore

    NARCIS (Netherlands)

    Deurenberg-Yap, M.; Schmidt, G.; Staveren, van W.A.; Deurenberg, P.

    2000-01-01

    To study the relationship between body fat percentage and body mass index (BMI) in three different ethnic groups in Singapore (Chinese, Malays and Indians) in order to evaluate the validity of the BMI cut-off points for obesity. DESIGN: Cross-sectional study. SUBJECTS: Two-hundred and ninety-one sub

  5. Dietary Intake in Body Mass Index Differences in Community-Based Japanese Patients with Schizophrenia

    OpenAIRE

    Haruyuki Ito; Takako Kumagai; Midori Kimura; Shotaro Koike; Takeshi Shimizu

    2015-01-01

    Background: Patients with schizophrenia reportedly have a high prevalence of obesity. One of the reasons is a poor choice of diet. The goal of this study was to clarify characteristics of the dietary intake across the strata of the body mass index (BMI) and to compare the general population and patients with schizophrenia in Japan. Methods: This is a cross-sectional study of 51 patients with schizophrenia residing in rural areas in 2011. Anthropometric indices (of height, weight, body mass in...

  6. [Body height, body weight and body mass index of German military recruits. Historical retrospect and current status].

    Science.gov (United States)

    Jaeger, U; Zellner, K; Kromeyer-Hauschild, K; Lüdde, R; Eisele, R; Hebebrand, J

    2001-09-01

    Surveys of conscripts give a chance to pursue the somatic development and the nourishment situation of young men over long times. At the beginning a historical view is given of the organization and methodological basis of medical examinations of German recruits since the introduction of the general conscription at the beginning of the 19th century. Secular changes of the body height are sketched out for selected regions of Germany until the middle of the 20th century. Data of the body weight hardly exist for this time. Until now the greatest continuous documentation of data for body height and body weight is available for West Germany since 1957 and for East Germany between 1973 and the reunion in 1989. The body height of German conscripts has nearly permanently increased since 1957 and reached in 1994 a maximum with 180.0 cm. In general East German conscripts have body height data which are smaller on an average than those of West German conscripts. But in the last years a catch-up in body height could be seen. The body weight of German conscripts also shows an increase apart from some short-time exceptions. The data of West German conscripts are also higher than those of the East German conscripts. Until the reunion the West-East-differences could partly be due to the different mustering age. But the differences also continue in the nineties despite the now identical mustering age. The Body Mass Index (BMI) of the German conscripts (calculated from the average values of body height and body weight) is characterized by increments in the last years. This indicates greater changes in body weight than in body height. The BMI also shows marked West-East-differences. There is no uniform tendency in differences between urban and country side regions for body height and body weight. On the other hand until now differences between selected professional groups are existing. Especially the over-proportional increase of the number of conscripts in the higher body

  7. Relationship Between Body Mass Index and Early Menarche of Adolescent Girls in Seoul

    OpenAIRE

    Oh, Chang-Mo; Oh, In-Hwan; Choi, Kyung-Sik; Choe, Bong-Keun; Yoon, Tai-Young; Choi, Joong-Myung

    2012-01-01

    Objectives The object of this study was to determine the relationship between body mass index (BMI) and early menarche in adolescent girls in Seoul. Methods A retrospective study was conducted with 144 middle school students in Seoul who provided informed consent. We measured their body composition, and used the questionnaire survey method for data collection from November to December 2008. Past elemental body composition data were collected from elementary school health records of first year...

  8. Reactivity and its association with body mass index across days on food checklists

    OpenAIRE

    Kirkpatrick, Sharon I.; Midthune, Douglas; Dodd, Kevin W.; Potischman, Nancy; Subar, Amy F; Thompson, Frances E.

    2012-01-01

    Characterizing relationships between diet, body weight, and health is complicated by reporting errors in dietary intake data that are associated with body weight. The objectives of this study were to assess changes in reporting across days (reactivity) on food checklists and associations between reactivity and body mass index (BMI) using data from two cross-sectional studies: 1) the Recontacting Participants in the Observing Protein and Energy Nutrition study (n = 297), which was conducted in...

  9. State Requirements and Recommendations for School-Based Screenings for Body Mass Index or Body Composition, 2010

    OpenAIRE

    Linchey, Jennifer; Madsen, Kristine A.

    2011-01-01

    Introduction We present a comprehensive picture of state requirements and recommendations for body mass index (BMI) and body composition screening of children and explore the association between pediatric obesity prevalence and state screening policies. Methods Researchers completed telephone interviews with contacts at the departments of education for all 50 states and reviewed state content standards for physical education. Results Twenty states (40%) require BMI or body composition screeni...

  10. Body Mass Index and Percentage of Body Fat as Indicators for Obesity in an Adolescent Athletic Population

    OpenAIRE

    Etchison, William C.; Bloodgood, Elizabeth A.; Minton, Cholly P.; Thompson, Nancy J.; Collins, Mary Ann; Hunter, Stephen C.; Dai, Hongying

    2011-01-01

    Background: Body mass index (BMI) is widely accepted in determining obesity. Skinfold thickness measurements have been commonly used to determine percentage of body fat. Hypothesis: The authors hypothesize that because BMI does not measure fat directly but relies on body weight alone, a large percentage of athletic adolescents will be misclassified as obese by BMI. Design: Cross-sectional study. Methods: To compare BMI and skinfold measurements as indicators for obesity in the adolescent athl...

  11. Measurement and Interpretation of Body Mass Index during Childhood and Adolescence

    Science.gov (United States)

    Malone, Susan Kohl; Zemel, Babette S.

    2015-01-01

    The landscape of childhood health and disease has changed over the past century, and school nurses are now in a unique position to address the conditions that lead to chronic disease, such as obesity. Measuring body mass index (BMI) during childhood and adolescence is the recommended method for screening and/or monitoring obesity in school…

  12. Waist-to-Height Ratio and Body Mass Index as Indicators of Cardiovascular Risk in Youth

    Science.gov (United States)

    Keefer, Daniel J.; Caputo, Jennifer L.; Tseh, Wayland

    2013-01-01

    Background: The purpose of this investigation was to determine if waist-to-height ratio (WHTR) or body mass index (BMI) is the better indicator of cardiovascular disease risk in children and adolescents of varying ages. Methods: Data from children and adolescents (N?=?2300) who were part of the 2003-2004 National Health and Nutrition Examination…

  13. Birth weight, childhood body mass index, and height in relation to mammographic density and breast cancer

    DEFF Research Database (Denmark)

    Andersen, Zorana Jovanovic; Baker, Jennifer Lyn; Bihrmann, Kristine;

    2014-01-01

    High breast density, a strong predictor of breast cancer may be determined early in life. Childhood anthropometric factors have been related to breast cancer and breast density, but rarely simultaneously. We examined whether mammographic density (MD) mediates an association of birth weight......, childhood body mass index (BMI), and height with the risk of breast cancer....

  14. Association of central serotonin transporter availability and body mass index in healthy Europeans

    DEFF Research Database (Denmark)

    Hesse, Swen; van de Giessen, Elsmarieke; Zientek, Franziska;

    2014-01-01

    UNLABELLED: Serotonin-mediated mechanisms, in particular via the serotonin transporter (SERT), are thought to have an effect on food intake and play an important role in the pathophysiology of obesity. However, imaging studies that examined the correlation between body mass index (BMI) and SERT...

  15. FTO genetic variants, dietary intake and body mass index

    DEFF Research Database (Denmark)

    Qi, Qibin; Oskari Kilpeläinen, Tuomas; Downer, Mary K;

    2014-01-01

    FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small...

  16. Pregnancy outcome according to pre-pregnancy body mass index and gestational weight gain

    DEFF Research Database (Denmark)

    Gesche, Joanna; Nilas, Lisbeth

    2015-01-01

    OBJECTIVE: To assess birth weight in relation to gestational weight gain (GWG) among women who were and were not obese before pregnancy. METHODS: For a retrospective cohort study, data were obtained for women with a pre-pregnancy body mass index (BMI, calculated as weight in kilograms divided...

  17. Body mass index and overweight in adolescents in 13 European countries, Israel, and the United States

    DEFF Research Database (Denmark)

    Lissau, Inge; Overpeck, Mary D; Ruan, W June;

    2004-01-01

    OBJECTIVE: To compare the body mass index (BMI) (calculated as weight in kilograms divided by the square of height in meters) and the prevalence of BMI at or above the 85th centile and 95th centile (overweight) in adolescents. DESIGN: Cross-sectional, nationally representative school-based surveys...

  18. Multicenter analysis of body mass index, lung function, and sputum microbiology in primary ciliary dyskinesia

    DEFF Research Database (Denmark)

    Maglione, Marco; Bush, Andrew; Nielsen, Kim G;

    2014-01-01

    BACKGROUND: No studies longitudinally, simultaneously assessed body mass index (BMI) and spirometry in primary ciliary dyskinesia (PCD). METHODS: We determined BMI and spirometry in 158 PCD children and adolescents from London, UK (n = 75), Naples, Italy (n = 23) and Copenhagen, Denmark (n = 60) ...

  19. A meta-analysis of the association of fracture risk and body mass index in women

    NARCIS (Netherlands)

    Johansson, Helena; Kanis, John A; Odén, Anders; McCloskey, Eugene; Chapurlat, Roland D; Christiansen, Claus; Cummings, Steve R; Diez-Perez, Adolfo; Eisman, John A; Fujiwara, Saeko; Glüer, Claus-C; Goltzman, David; Hans, Didier; Khaw, Kay-Tee; Krieg, Marc-Antoine; Kröger, Heikki; LaCroix, Andrea Z; Lau, Edith; Leslie, William D; Mellström, Dan; Melton, L Joseph; O'Neill, Terence W; Pasco, Julie A; Prior, Jerilynn C; Reid, David M; Rivadeneira, Fernando; van Staa, Tjerd; Yoshimura, Noriko; Zillikens, M Carola; van Staa, Tjeerd

    2014-01-01

    Several recent studies suggest that obesity may be a risk factor for fracture. The aim of this study was to investigate the association between body mass index (BMI) and future fracture risk at different skeletal sites. In prospective cohorts from more than 25 countries, baseline data on BMI were av

  20. Body mass index distribution affects discrepancies in weight classifications in children

    Science.gov (United States)

    The aim of the present study was to investigate the effect of body mass index (BMI) distribution, ethnicity, and age at menarche on the consistency in the prevalence of underweight and overweight as defined by the Centers for Disease Control and Prevention (CDC) and the International Obesity Task Fo...

  1. Links between Adolescent Physical Activity, Body Mass Index, and Adolescent and Parent Characteristics

    Science.gov (United States)

    Williams, Susan Lee; Mummery, W. Kerry

    2011-01-01

    Identification of the relationships between adolescent overweight and obesity and physical activity and a range of intrapersonal and interpersonal factors is necessary to develop relevant interventions which target the health needs of adolescents. This study examined adolescent body mass index (BMI) and participation in moderate and vigorous…

  2. Inverse relationship between body mass index and mortality in older nursing home residents

    DEFF Research Database (Denmark)

    Veronese, N; Cereda, E; Solmi, M;

    2015-01-01

    Body mass index (BMI) and mortality in old adults from the general population have been related in a U-shaped or J-shaped curve. However, limited information is available for elderly nursing home populations, particularly about specific cause of death. A systematic PubMed/EMBASE/CINAHL/SCOPUS...

  3. Sleep Quality and Body Mass Index in College Students: The Role of Sleep Disturbances

    Science.gov (United States)

    Vargas, Perla A.; Flores, Melissa; Robles, Elias

    2014-01-01

    Objective: Obesity and its comorbidities have emerged as a leading public health concern. The aim of this study was to explore the relationship between body mass index (BMI) and sleep patterns, including duration and disturbances. Methods: A convenience sample of 515 college students completed an online survey consisting of the Pittsburgh Sleep…

  4. School Social Capital and Body Mass Index in the National Longitudinal Study of Adolescent Health

    Science.gov (United States)

    Richmond, Tracy K.; Milliren, Carly; Walls, Courtney E.; Kawachi, Ichiro

    2014-01-01

    Background: Social capital in neighborhoods and workplaces positively affects health. Less is known about the influence of school social capital on student health outcomes, in particular weight status. We sought to examine the association between individual- and school-level social capital and student body mass index (BMI). Methods: Analyzing data…

  5. Regional Differences as Barriers to Body Mass Index Screening Described by Ohio School Nurses

    Science.gov (United States)

    Stalter, Ann M.; Chaudry, Rosemary V.; Polivka, Barbara J.

    2011-01-01

    Background: Body mass index (BMI) screening is advocated by the National Association of School Nurses (NASN). Research identifying barriers to BMI screening in public elementary school settings has been sparse. The purpose of the study was to identify barriers and facilitating factors of BMI screening practices among Ohio school nurses working in…

  6. Stereology of human myometrium in pregnancy: influence of maternal body mass index and age.

    LENUS (Irish Health Repository)

    Sweeney, Eva M

    2013-04-01

    Knowledge of the stereology of human myometrium in pregnancy is limited. Uterine contractile performance may be altered in association with maternal obesity and advanced maternal age. The aim of this study was to investigate the stereology of human myometrium in pregnancy, and to evaluate a potential influence of maternal body mass index (BMI) and age.

  7. Genetic and environmental effects on body mass index from infancy to the onset of adulthood

    DEFF Research Database (Denmark)

    Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo;

    2016-01-01

    Background: Both genetic and environmental factors are known to affect body mass index (BMI), but detailed understanding of how their effects differ during childhood and adolescence is lacking. Objectives: We analyzed the genetic and environmental contributions to BMI variation from infancy to ea...

  8. Modulation of genetic associations with serum urate levels by body-mass-index in humans

    NARCIS (Netherlands)

    J.E. Huffman (Jennifer); E. Albrecht (Eva); A. Teumer (Alexander); M. Mangino (Massimo); K. Kapur (Karen); T. Johnson (Toby); Z. Kutalik (Zoltán); N. Pirastu (Nicola); G. Pistis (Giorgio); L.M. Lopez (Lorna); T. Haller (Toomas); P. Salo (Perttu); A. Goel (Anuj); M. Li (Man); T. Tanaka (Toshiko); A. Dehghan (Abbas); D. Ruggiero; G. Malerba (Giovanni); A.V. Smith (Albert Vernon); Nolte, I.M. (Ilja M.); L. Portas (Laura); Phipps-Green, A. (Amanda); Boteva, L. (Lora); P. Navarro (Pau); A. Johansson (Åsa); A.A. Hicks (Andrew); O. Polasek (Ozren); T. Esko (Tõnu); J. Peden (John); S.E. Harris (Sarah); D. Murgia (Daniela); Wild, S.H. (Sarah H.); A. Tenesa (Albert); A. Tin (Adrienne); E. Mihailov (Evelin); A. Grotevendt (Anne); G.K. Gislason; J. Coresh (Josef); A.P. d' Adamo (Adamo Pio); S. Ulivi (Shelia); P. Vollenweider (Peter); G. Waeber (Gérard); Campbell, S. (Susan); I. Kolcic (Ivana); Fisher, K. (Krista); M. Viigimaa (Margus); Metter, J.E. (Jeffrey E.); C. Masciullo (Corrado); Trabetti, E. (Elisabetta); Bombieri, C. (Cristina); R. Sorice; A. Döring (Angela); G. Reischl (Gunilla); K. Strauch (Konstantin); A. Hofman (Albert); A.G. Uitterlinden (André); M. Waldenberger (Melanie); H.E. Wichmann (Heinz Erich); G. Davies (Gail); A.J. Gow (Alan J.); Dalbeth, N. (Nicola); Stamp, L. (Lisa); Smit, J.H. (Johannes H.); M. Kirin (Mirna); R. Nagaraja (Ramaiah); M. Nauck (Matthias); C. Schurmann (Claudia); K. Budde (Klemens); S.M. Farrington (Susan); E. Theodoratou (Evropi); A. Jula (Antti); V. Salomaa (Veikko); C. Sala (Cinzia); C. Hengstenberg (Christian); M. Burnier (Michel); Mägi, R. (Reedik); N. Klopp (Norman); S. Kloiber (Stefan); S. Schipf (Sabine); S. Ripatti (Samuli); Cabras, S. (Stefano); N. Soranzo (Nicole); G. Homuth (Georg); T. Nutile; P. Munroe (Patricia); N. Hastie (Nick); H. Campbell (H.); I. Rudan (Igor); Cabrera, C. (Claudia); Haley, C. (Chris); O.H. Franco (Oscar); Merriman, T.R. (Tony R.); V. Gudnason (Vilmundur); M. Pirastu (Mario); B.W.J.H. Penninx (Brenda); H. Snieder (Harold); A. Metspalu (Andres); M. Ciullo; P.P. Pramstaller (Peter Paul); C.M. van Duijn (Cock); L. Ferrucci (Luigi); G. Gambaro (Giovanni); Deary, I.J. (Ian J.); M.G. Dunlop (Malcolm); J.F. Wilson (James F); P. Gasparini (Paolo); U. Gyllensten (Ulf); T.D. Spector (Timothy); A.F. Wright (Alan); C. Hayward (Caroline); H. Watkins (Hugh); M. Perola (Markus); M. Bochud (Murielle); W.H.L. Kao (Wen); M. Caulfield (Mark); D. Toniolo (Daniela); H. Völzke (Henry); C. Gieger (Christian); A. Köttgen (Anna); V. Vitart (Veronique)

    2015-01-01

    textabstractWe tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in

  9. Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans

    NARCIS (Netherlands)

    Huffman, Jennifer E.; Albrecht, Eva; Teumer, Alexander; Mangino, Massimo; Kapur, Karen; Johnson, Toby; Kutalik, Zoltn; Pirastu, Nicola; Pistis, Giorgio; Lopez, Lorna M.; Haller, Toomas; Salo, Perttu; Goel, Anuj; Li, Man; Tanaka, Toshiko; Dehghan, Abbas; Ruggiero, Daniela; Malerba, Giovanni; Smith, Albert V.; Nolte, Ilja M.; Portas, Laura; Phipps-Green, Amanda; Boteva, Lora; Navarro, Pau; Johansson, Asa; Hicks, Andrew A.; Polasek, Ozren; Esko, Tonu; Peden, John F.; Harris, Sarah E.; Murgia, Federico; Wild, Sarah H.; Tenesa, Albert; Tin, Adrienne; Mihailov, Evelin; Grotevendt, Anne; Gislason, Gauti K.; Coresh, Josef; D'Adamo, Pio; Ulivi, Sheila; Vollenweider, Peter; Waeber, Gerard; Campbell, Susan; Kolcic, Ivana; Fisher, Krista; Viigimaa, Margus; Metter, Jeffrey E.; Masciullo, Corrado; Trabetti, Elisabetta; Bombieri, Cristina; Sorice, Rossella; Doering, Angela; Reischl, Eva; Strauch, Konstantin; Hofman, Albert; Uitterlinden, Andre G.; Waldenberger, Melanie; Wichmann, H-Erich; Davies, Gail; Gow, Alan J.; Dalbeth, Nicola; Stamp, Lisa; Smit, Johannes H.; Kirin, Mirna; Nagaraja, Ramaiah; Nauck, Matthias; Schurmann, Claudia; Budde, Kathrin; Farrington, Susan M.; Theodoratou, Evropi; Jula, Antti; Salomaa, Veikko; Sala, Cinzia; Hengstenberg, Christian; Burnier, Michel; Maegi, Reedik; Klopp, Norman; Kloiber, Stefan; Schipf, Sabine; Ripatti, Samuli; Cabras, Stefano; Soranzo, Nicole; Homuth, Georg; Nutile, Teresa; Munroe, Patricia B.; Hastie, Nicholas; Campbell, Harry; Rudan, Igor; Cabrera, Claudia; Haley, Chris; Franco, Oscar H.; Merriman, Tony R.; Gudnason, Vilmundur; Pirastu, Mario; Penninx, Brenda W.; Snieder, Harold; Metspalu, Andres; Ciullo, Marina; Pramstaller, Peter P.; van Duijn, Cornelia M.; Ferrucci, Luigi; Gambaro, Giovanni; Deary, Ian J.; Dunlop, Malcolm G.; Wilson, James F.; Gasparini, Paolo; Gyllensten, Ulf; Spector, Tim D.; Wright, Alan F.; Hayward, Caroline; Watkins, Hugh; Perola, Markus; Bochud, Murielle; Kao, W. H. Linda; Caulfield, Mark; Toniolo, Daniela; Voelzke, Henry; Gieger, Christian; Koettgen, Anna; Vitart, Veronique

    2015-01-01

    We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-s

  10. Changes in body mass index in long-term childhood cancer survivors

    NARCIS (Netherlands)

    van Santen, HM; Geskus, Ronald B; Raemaekers, Steven; van Trotsenburg, A S Paul; Vulsma, Thomas; van der Pal, Helena J H; Caron, Hubert N; Kremer, Leontien C M

    2015-01-01

    BACKGROUND: Previous studies have reported changes in the body mass index (BMI) with time in childhood cancer survivors (CCSs) during follow-up. The limitations of these studies include that they described only a subgroup of survivors or used questionnaires with self-reported heights and weights. Th

  11. Body Mass Index and the Use of the Internet for Health Information

    Science.gov (United States)

    Faith, Jennifer; Thorburn, Sheryl; Smit, Ellen

    2016-01-01

    Objective: Individuals who experience or anticipate negative interactions from medical providers related to conditions such as obesity may preferentially use the Internet for health information. Our objectives in this study were to (1) examine the association between body mass index (BMI) and Internet health information-seeking and (2) examine…

  12. The effect of gastric band slippage on patient body mass index and quality of life.

    LENUS (Irish Health Repository)

    Sahebally, Shaheel M

    2012-05-01

    Laparoscopic adjustable gastric banding (LAGB) is a popular surgical procedure for the management of morbid obesity. Gastric band slippage (GBS) is the most common long-term complication. In this study, the effect of GBS on body mass index (BMI) and quality of life (QOL) were assessed.

  13. Twin's Birth-Order Differences in Height and Body Mass Index From Birth to Old Age

    DEFF Research Database (Denmark)

    Yokoyama, Yoshie; Jelenkovic, Aline; Sund, Reijo;

    2016-01-01

    We analyzed birth order differences in means and variances of height and body mass index (BMI) in monozygotic (MZ) and dizygotic (DZ) twins from infancy to old age. The data were derived from the international CODATwins database. The total number of height and BMI measures from 0.5 to 79.5 years ...

  14. The impact of body mass index in old age on cause-specific mortality

    NARCIS (Netherlands)

    Hollander, de E.L.; Zutphen, van M.; Bogers, R.P.; Bemelmans, W.J.E.; Groot, de C.P.G.M.

    2012-01-01

    Objectives: To assess the association between Body Mass Index (BMI) and cause-specific mortality in older adults and to assess which BMI was associated with lowest mortality. Design: Prospective study. Setting: European towns. Participants: 1,980 older adults, aged 70-75 years from the SENECA (Surve

  15. Trajectories in the course of body mass index after spinal cord injury

    NARCIS (Netherlands)

    de Groot, Sonja; Post, Marcel W.; Hoekstra, Trynke; Valent, Linda J.; Faber, Willemijn X.; van der Woude, Lucas H.

    2014-01-01

    OBJECTIVE: To identify different trajectories of the course of body mass index (BMI) after spinal cord injury (SCI) and to study whether other cardiovascular risk factors (blood pressure, lipid profile) follow the same trajectories. DESIGN: Multicenter prospective cohort study with measurements at t

  16. WHO European Childhood Obesity Surveillance Initiative: School Nutrition Environment and Body Mass Index in Primary Schools

    NARCIS (Netherlands)

    Wijnhoven, T.M.A.; Raaij, van J.M.A.; Sjöberg, A.; Eldin, N.; Yngve, A.; Kunesova, M.; Stare, G.; Rito, A.I.; Duleva, V.; Hassapidou, M.; Martos, E.; Pudule, I.; Petrauskiene, A.; Farrugia Sant Angelo, V.; Hovengen, R.; Breda, J.

    2014-01-01

    Background: Schools are important settings for the promotion of a healthy diet and sufficient physical activity and thus overweight prevention. Objective: To assess differences in school nutrition environment and body mass index (BMI) in primary schools between and within 12 European countries. Meth

  17. A Comparison of Blood Pressure, Body Mass Index, and Acanthosis Nigricans in School-Age Children

    Science.gov (United States)

    Otto, Debra E.; Wang, Xiaohui; Tijerina, Sandra L.; Reyna, Maria Elena; Farooqi, Mohammad I.; Shelton, Margarette L.

    2010-01-01

    The purpose of this retrospective quantitative study was to examine the relationships among acanthosis nigricans (AN), body mass index (BMI), blood pressure (BP), school grade, and gender in children attending elementary school located in South West Texas. Data were collected by attending school district nurses. Researchers reviewed 7,026…

  18. Genetic studies of body mass index yield new insights for obesity biology

    NARCIS (Netherlands)

    Locke, Adam E.; Kahali, Bratati; Berndt, Sonja I.; Justice, Anne E.; Pers, Tune H.; Day, Felix R.; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L.; Yang, Jian; Croteau-Chonka, Damien C.; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltan; Luan, Jian'an; Maegi, Reedik; Randall, Joshua C.; Winkler, Thomas W.; Wood, Andrew R.; Workalemahu, Tsegaselassie; Faul, Jessica D.; Smith, Jennifer A.; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Asa K.; Karjalainen, Juha; Schmidt, Ellen M.; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L.; Bragg-Gresham, L.; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B.; Feenstra, Bjarke; Feitosa, Mary F.; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U.; Kanoni, Stavroula; Kleber, Marcus E.; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Leach, Irene Mateo; Medina-Gomez, Carolina; Medland, Sarah E.; Nalls, Michael A.; Palmer, Cameron D.; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J.; Prokopenko, Inga; Shungin, Dmitry; Stancakova, Alena; Strawbridge, Rona J.; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W.; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V.; Wang, Zhaoming; Yengo, Loic; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Arnlov, Johan; Arscott, Gillian M.; Attwood, Antony P.; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N.; Bellis, Claire; Bennett, Amanda J.; Berne, Christian; Blagieva, Roza; Blueher, Matthias; Bohringer, Stefan; Bonnycastle, Lori L.; Boettcher, Yvonne; Boyd, Heather A.; Bruinenberg, Marcel; Caspersen, Ida H.; Chen, Yii-Der Ida; Clarke, Robert; Daw, E. Warwick; de Craen, Anton J. M.; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S. F.; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M.; Garcia, Melissa E.; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S.; Golay, Alain; Goodall, Alison H.; Gordon, Scott D.; Gorski, Mathias; Grabe, Hans-Joergen; Grallert, Harald; Grammer, Tanja B.; Graessler, Jurgen; Gronberg, Henrik; Groves, Christopher J.; Gusto, Gaeelle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A.; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L.; Helmer, Qinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L.; Jeff, Janina M.; Johansson, Asa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R.; Lichtner, Peter; Lind, Lars; Lindstrom, Jaana; Lo, Ken Sin; Lobbens, Stephane; Lorbeer, Roberto; Lu, Yingchang; Mach, Francois; Magnusson, Patrik K. E.; Mahajan, Anubha; McArdle, Wendy L.; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L.; Morken, Mario A.; Mulas, Antonella; Mueller, Gabriele; Mueller-Nurasyid, Martina; Musk, Arthur W.; Nagaraja, Ramaiah; Noethen, Markus M.; Nolte, Ilja M.; Pilz, Stefan; Rayner, Nigel W.; Renstrom, Frida; Rettig, Rainer; Ried, Janina S.; Ripke, Stephan; Robertson, Neil R.; Rose, Lynda M.; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R.; Scott, William R.; Seufferlein, Thomas; Shi, Jianxin; Smith, Albert Vernon; Smolonska, Joanna; Stanton, Alice V.; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M.; Sundstrom, Johan; Swertz, Morris A.; Swift, Amy J.; Syvanen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O.; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P.; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C.; Vermeulen, Sita H.; Verweij, Niek; Vonk, Judith M.; Waite, Lindsay L.; Warren, Helen R.; Waterworth, Dawn; Weedon, Michael N.; Wilkens, Lynne R.; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K.; Wong, Andrew; Wrightl, Alan F.; Zhang, Qunyuan; Brennan, Eoin P.; Choi, Murim; Dastani, Zari; Drong, Alexander W.; Eriksson, Per; Franco-Cereceda, Anders; Gadin, Jesper R.; Gharavi, Ali G.; Goddard, Michael E.; Handsaker, Robert E.; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P.; Ma, Baoshan; McCarroll, Steven A.; McKnight, Amy J.; Min, Josine L.; Moffatt, Miriam F.; Montgomery, Grant W.; Murabito, Joanne M.; Nicholson, George; Nyholt, Dale R.; Okada, Yukinori; Perry, John R. B.; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M.; Sandholm, Niina; Scott, Robert A.; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; van 't Hooft, Ferdinand M.; Vinkhuyzen, Anna A. E.; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T.; Heath, Andrew C.; Arveiler, Dominique; Bakker, Stephan J. L.; Beilby, John; Bergman, Richard N.; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J.; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I.; Chines, Peter S.; Collins, Francis S.; Crawford, Dana C.; Cupples, L. Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M.; Dominiczak, Anna F.; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G.; Farrall, Martin; Felix, Stephan B.; Ferrannini, Ele; Ferrieres, Jean; Ford, Ian; Forouhi, Nita G.; Forrester, Terrence; Franco, Oscar H.; Gansevoort, Ron T.; Gejman, Pablo V.; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S.; Harris, Tamara B.; Hattersley, Andrew T.; Hicks, Andrew A.; Hindorff, Lucia A.; Hingorani, Aroon D.; Hofman, Albert; Homuth, Georg; Hovingh, G. Kees; Humphries, Steve E.; Hunt, Steven C.; Hypponen, Elina; Illig, Thomas; Jacobs, Kevin B.; Jarvelin, Marjo-Riitta; Joeckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J. Wouter; Jula, Antti M.; Kaprio, Jaakko; Kastelein, John J. P.; Keinanen-Kiukaanniemi, Sirkka M.; Kiemeney, Lambertus A.; Knekt, Paul; Kooner, Jaspal S.; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T.; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A.; Langenberg, Claudia; Le Marchand, Laic; Lehtimaki, Terho; Lyssenko, Valeriya; Mannisto, Satu; Marette, Andre; Matise, Tara C.; McKenzie, Colin A.; McKnight, Barbara; Moll, Frans L.; Morris, Andrew D.; Morris, Andrew P.; Murray, Jeffrey C.; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J.; Ong, Ken K.; Madden, Pamela A. F.; Pasterkamp, Gerard; Peden, John F.; Peters, Annette; Postma, Dirkje S.; Pramstaller, Peter P.; Price, Jackie F.; Qi, Lu; Raitakari, Olli T.; Rankinen, Tuomo; Rao, D. C.; Rice, Treva K.; Ridker, Paul M.; Rioux, John D.; Ritchie, Marylyn D.; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J.; Saramines, Jouko; Sarzynski, Mark A.; Schunkert, Heribert; Schwarz, Peter E. H.; Sever, Peter; Shuldiner, Alan R.; Sinisalo, Juha; Stolk, Ronald P.; Strauch, Konstantin; Toenjes, Anke; Tregouet, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Voelker, Uwe; Waeber, Gerard; Willemsen, Gonneke; Witteman, Jacqueline C.; Zillikens, M. Carola; Adair, Linda S.; Amouyel, Philippe; Asselbergs, Folkert W.; Assimes, Themistocles L.; Bochud, Murielle; Boehm, Bernhard O.; Boerwinkle, Eric; Bornstein, Stefan R.; Bottinger, Erwin P.; Bouchard, Claude; Cauchi, Stephane; Chambers, John C.; Chanock, Stephen J.; Cooper, Richard S.; de Bakker, Paul I. W.; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W.; Froguel, Philippe; Groop, Leif C.; Haiman, Christopher A.; Hamsten, Anders; Hui, Jennie; Hunter, David J.; Hveem, Kristian; Kaplan, Robert C.; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G.; Maerz, Winfried; Melbve, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B.; Njolstad, Inger; Oostra, Ben A.; Palmer, Colin N. A.; Pedersen, Nancy L.; Perola, Markus; Perusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E.; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E.; Schlessinger, David; Slagboom, P. Eline; Snieder, Harold; Spector, Tim D.; Thorsteinsdottir, Unnu R.; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, Andre G.; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J.; Watkins, Hugh; Weir, David R.; Wichmann, H-Erich; Wilson, James F.; Zanen, Pieter; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Heid, Iris M.; O'Connell, Jeffrey R.; Strachan, David P.; Stefansson, Kari; van Duijri, Cornelia M.; Abecasis, Goncalo R.; Franke, Lude; Frayling, Timothy M.; McCarthy, Mark I.; Visscher, Peter M.; Scherag, Andre; Willer, Cristen J.; Boehnke, Michael; Mohlke, Karen L.; Lindgren, Cecilia M.; Beckmann, Jacques S.; Barroso, Ines; North, Kari E.; Ingelsson, Erik; Hirschhorn, Joel N.; Loos, Ruth J. F.; Speliotes, Elizabeth K.; Peeters, P; Broekmans, FJM; van Gils, CH; van der Schouw, YT; Fauser, BCJM; Uiterwaal, C.S.P.M.; Bots, Michael L

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339,224 individuals

  19. Genetic studies of body mass index yield new insights for obesity biology

    NARCIS (Netherlands)

    Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Hua Zhao, Jing; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K; Karjalainen, Juha; Schmidt, Ellen M; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L; Bragg-Gresham, Jennifer L; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B; Feenstra, Bjarke; Feitosa, Mary F; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U; Kanoni, Stavroula; Kleber, Marcus E; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Mateo Leach, Irene; Medina-Gomez, Carolina; Medland, Sarah E; Nalls, Michael A; Palmer, Cameron D; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J; Ju Sung, Yun; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M; Attwood, Antony P; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N; Bellis, Claire; Bennett, Amanda J; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L; Böttcher, Yvonne; Boyd, Heather A; Bruinenberg, Marcel; Caspersen, Ida H; Ida Chen, Yii-Der; Clarke, Robert; Warwick Daw, E; de Craen, Anton J M; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S F; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M; Garcia, Melissa E; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S; Golay, Alain; Goodall, Alison H; Gordon, Scott D; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L; Jeff, Janina M; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Sin Lo, Ken; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K E; Mahajan, Anubha; McArdle, Wendy L; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L; Morken, Mario A; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W; Nagaraja, Ramaiah; Nöthen, Markus M; Nolte, Ilja M; Pilz, Stefan; Rayner, Nigel W; Renstrom, Frida; Rettig, Rainer; Ried, Janina S; Ripke, Stephan; Robertson, Neil R; Rose, Lynda M; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R; Scott, William R; Seufferlein, Thomas; Shi, Jianxin; Vernon Smith, Albert; Smolonska, Joanna; Stanton, Alice V; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M; Sundström, Johan; Swertz, Morris A; Swift, Amy J; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C; Vermeulen, Sita H; Verweij, Niek; Vonk, Judith M; Waite, Lindsay L; Warren, Helen R; Waterworth, Dawn; Weedon, Michael N; Wilkens, Lynne R; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K; Wong, Andrew; Wright, Alan F; Zhang, Qunyuan; Brennan, Eoin P; Choi, Murim; Dastani, Zari; Drong, Alexander W; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R; Gharavi, Ali G; Goddard, Michael E; Handsaker, Robert E; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P; Ma, Baoshan; McCarroll, Steven A; McKnight, Amy J; Min, Josine L; Moffatt, Miriam F; Montgomery, Grant W; Murabito, Joanne M; Nicholson, George; Nyholt, Dale R; Okada, Yukinori; Perry, John R B; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M; Sandholm, Niina; Scott, Robert A; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; Van't Hooft, Ferdinand M; Vinkhuyzen, Anna A E; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T; Heath, Andrew C; Arveiler, Dominique; Bakker, Stephan J L; Beilby, John; Bergman, Richard N; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I; Chines, Peter S; Collins, Francis S; Crawford, Dana C; Adrienne Cupples, L; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M; Dominiczak, Anna F; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G; Farrall, Martin; Felix, Stephan B; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G; Forrester, Terrence; Franco, Oscar H; Gansevoort, Ron T; Gejman, Pablo V; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S; Harris, Tamara B; Hattersley, Andrew T; Hicks, Andrew A; Hindorff, Lucia A; Hingorani, Aroon D; Hofman, Albert; Homuth, Georg; Kees Hovingh, G; Humphries, Steve E; Hunt, Steven C; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Wouter Jukema, J; Jula, Antti M; Kaprio, Jaakko; Kastelein, John J P; Keinanen-Kiukaanniemi, Sirkka M; Kiemeney, Lambertus A; Knekt, Paul; Kooner, Jaspal S; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A; Langenberg, Claudia; Le Marchand, Loic; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C; McKenzie, Colin A; McKnight, Barbara; Moll, Frans L; Morris, Andrew D; Morris, Andrew P; Murray, Jeffrey C; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J; Ong, Ken K; Madden, Pamela A F; Pasterkamp, Gerard; Peden, John F; Peters, Annette; Postma, Dirkje S; Pramstaller, Peter P; Price, Jackie F; Qi, Lu; Raitakari, Olli T; Rankinen, Tuomo; Rao, D C; Rice, Treva K; Ridker, Paul M; Rioux, John D; Ritchie, Marylyn D; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J; Saramies, Jouko; Sarzynski, Mark A; Schunkert, Heribert; Schwarz, Peter E H; Sever, Peter; Shuldiner, Alan R; Sinisalo, Juha; Stolk, Ronald P; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C; Zillikens, M Carola; Adair, Linda S; Amouyel, Philippe; Asselbergs, Folkert W; Assimes, Themistocles L; Bochud, Murielle; Boehm, Bernhard O; Boerwinkle, Eric; Bornstein, Stefan R; Bottinger, Erwin P; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C; Chanock, Stephen J; Cooper, Richard S; de Bakker, Paul I W; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W; Froguel, Philippe; Groop, Leif C; Haiman, Christopher A; Hamsten, Anders; Hui, Jennie; Hunter, David J; Hveem, Kristian; Kaplan, Robert C; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B; Njølstad, Inger; Oostra, Ben A; Palmer, Colin N A; Pedersen, Nancy L; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E; Schlessinger, David; Eline Slagboom, P; Snieder, Harold; Spector, Tim D; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J; Watkins, Hugh; Weir, David R; Wichmann, H-Erich; Wilson, James F; Zanen, Pieter; Borecki, Ingrid B; Deloukas, Panos; Fox, Caroline S; Heid, Iris M; O'Connell, Jeffrey R; Strachan, David P; Stefansson, Kari; van Duijn, Cornelia M; Abecasis, Gonçalo R; Franke, Lude; Frayling, Timothy M; McCarthy, Mark I; Visscher, Peter M; Scherag, André; Willer, Cristen J; Boehnke, Michael; Mohlke, Karen L; Lindgren, Cecilia M; Beckmann, Jacques S; Barroso, Inês; North, Kari E; Ingelsson, Erik; Hirschhorn, Joel N; Loos, Ruth J F; Speliotes, Elizabeth K

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individual

  20. Relationships between Illicit Drug Use and Body Mass Index among Adolescents

    Science.gov (United States)

    Blackstone, Sarah R.; Herrmann, Lynn K.

    2016-01-01

    Prior research has established associations between body mass index (BMI) and use of alcohol, tobacco, and marijuana. However, little research has been done investigating the relationship between other common illicit drugs and BMI trends. The present study investigated whether adolescents who reported using illicit drugs showed differences in BMI…

  1. Child and Adolescent Affective and Behavioral Distress and Elevated Adult Body Mass Index

    Science.gov (United States)

    McClure, Heather H.; Eddy, J. Mark; Kjellstrand, Jean M.; Snodgrass, J. Josh; Martinez, Charles R., Jr.

    2012-01-01

    Obesity rates throughout the world have risen rapidly in recent decades, and are now a leading cause of morbidity and mortality. Several studies indicate that behavioral and affective distress in childhood may be linked to elevated adult body mass index (BMI). The present study utilizes data from a 20-year longitudinal study to examine the…

  2. Anemia in relation to body mass index and waist circumference among chinese women

    NARCIS (Netherlands)

    Qin, Y.; Boonstra, A.; Pan, X.; Dai, Y.C.; Zhao, J.; Zimmerman, M.B.; Kok, F.J.

    2013-01-01

    Background: This study aimed to investigate the relationship of anemia and body mass index among adult women in Jiangsu Province, China. Data were collected in a sub-national cross-sectional survey, and 1,537 women aged 20 years and above were included in the analyses. Subjects were classified by bo

  3. Association between weight or Body Mass Index and hand osteoarthritis: a systematic review

    NARCIS (Netherlands)

    E. Yusuf (Erlangga); R.G.H.H. Nelissen (Rob); A. Ioan-Facsinay (Andreea); V. Stojanovic-Susulic (Vedrana); J. de Groot (Jeroen); G.J.V.M. van Osch (Gerjo); S. Middeldorp (Saskia); T.W.J. Huizinga (Tom); M. Kloppenburg (Margreet)

    2009-01-01

    textabstractObjective: To investigate the association between weight or Body Mass Index (BMI) and the development of hand osteoarthritis (OA). Methods: Systematic review of observational studies. Medical databases were searched up to April 2008. Articles which presented data on the association betwe

  4. Changes in parathyroid hormone, body mass index and the association with mortality in dialysis patients

    NARCIS (Netherlands)

    C. Drechsler; D.C. Grootendorst; E.W. Boeschoten; R.T. Krediet; C. Wanner; F.W. Dekker

    2011-01-01

    Obesity is associated with secondary hyperparathyroidism in the general population. It is unknown whether body mass index (BMI) affects parathyroid hormone (PTH) level and its association with mortality in dialysis patients. From a prospective cohort study of incident dialysis patients in the Nether

  5. National, regional, and global trends in body-mass index since 1980

    DEFF Research Database (Denmark)

    Finucane, Mariel M; Stevens, Gretchen A; Cowan, Melanie J;

    2011-01-01

    Excess bodyweight is a major public health concern. However, few worldwide comparative analyses of long-term trends of body-mass index (BMI) have been done, and none have used recent national health examination surveys. We estimated worldwide trends in population mean BMI....

  6. Antidepressant Use and Body Mass Index Change in Overweight Adolescents: A Historical Cohort Study

    OpenAIRE

    Cockerill, Richard G.; Biggs, Bridget K.; Oesterle, Tyler S.; Croarkin, Paul E.

    2014-01-01

    Objective: Given the limited empirical data on antidepressant use and weight change in children, we performed a historical cohort study to assess change in age- and sex-standardized body mass index associated with antidepressant use among overweight adolescents diagnosed with a depressive disorder.

  7. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    DEFF Research Database (Denmark)

    Speliotes, Elizabeth K; Willer, Cristen J; Berndt, Sonja I;

    2010-01-01

    Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ~ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SN...

  8. Parent/Student Risk and Protective Factors in Understanding Early Adolescent's Body Mass Index

    Science.gov (United States)

    Fitzpatrick, Kevin M.; Willis, Don

    2016-01-01

    This article's aim is to examine correlates of middle school students' body mass index (BMI). Little research simultaneously has considered both child and parent correlates in predicting child's BMI; we examine the interrelationships between middle school students and their parent's risks and protective factors and their impact on the child's BMI.…

  9. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    NARCIS (Netherlands)

    Speliotes, Elizabeth K.; Willer, Cristen J.; Berndt, Sonja I.; Monda, Keri L.; Thorleifsson, Gudmar; Jackson, Anne U.; Allen, Hana Lango; Lindgren, Cecilia M.; Luan, Jian'an; Maegi, Reedik; Randall, Joshua C.; Vedantam, Sailaja; Winkler, Thomas W.; Qi, Lu; Workalemahu, Tsegaselassie; Heid, Iris M.; Steinthorsdottir, Valgerdur; Stringham, Heather M.; Weedon, Michael N.; Wheeler, Eleanor; Wood, Andrew R.; Ferreira, Teresa; Weyant, Robert J.; Segre, Ayellet V.; Estrada, Karol; Liang, Liming; Nemesh, James; Park, Ju-Hyun; Gustafsson, Stefan; Kilpelaenen, Tuomas O.; Yang, Jian; Bouatia-Naji, Nabila; Esko, Tonu; Feitosa, Mary F.; Kutalik, Zoltan; Mangino, Massimo; Raychaudhuri, Soumya; Scherag, Andre; Smith, Albert Vernon; Welch, Ryan; Zhao, Jing Hua; Aben, Katja K.; Absher, Devin M.; Amin, Najaf; Dixon, Anna L.; Fisher, Eva; Glazer, Nicole L.; Goddard, Michael E.; Heard-Costa, Nancy L.; Hoesel, Volker; Hottenga, Jouke-Jan; Johansson, Asa; Johnson, Toby; Ketkar, Shamika; Lamina, Claudia; Li, Shengxu; Moffatt, Miriam F.; Myers, Richard H.; Narisu, Narisu; Perry, John R. B.; Peters, Marjolein J.; Preuss, Michael; Ripatti, Samuli; Rivadeneira, Fernando; Sandholt, Camilla; Scott, Laura J.; Timpson, Nicholas J.; Tyrer, Jonathan P.; van Wingerden, Sophie; Watanabe, Richard M.; White, Charles C.; Wiklund, Fredrik; Barlassina, Christina; Chasman, Daniel I.; Cooper, Matthew N.; Jansson, John-Olov; Lawrence, Robert W.; Pellikka, Niina; Prokopenko, Inga; Shi, Jianxin; Thiering, Elisabeth; Alavere, Helene; Alibrandi, Maria T. S.; Almgren, Peter; Arnold, Alice M.; Aspelund, Thor; Atwood, Larry D.; Balkau, Beverley; Balmforth, Anthony J.; Bennett, Amanda J.; Ben-Shlomo, Yoav; Bergman, Richard N.; Bergmann, Sven; Biebermann, Heike; Blakemore, Alexandra I. F.; Boes, Tanja; Bonnycastle, Lori L.; Bornstein, Stefan R.; Brown, Morris J.; Buchanan, Thomas A.; Busonero, Fabio; Campbell, Harry; Cappuccio, Francesco P.; Cavalcanti-Proenca, Christine; Chen, Yii-Der Ida; Chen, Chih-Mei; Chines, Peter S.; Clarke, Robert; Coin, Lachlan; Connell, John; Day, Ian N. M.; den Heijer, Martin; Duan, Jubao; Ebrahim, Shah; Elliott, Paul; Elosua, Roberto; Eiriksdottir, Gudny; Erdos, Michael R.; Eriksson, Johan G.; Facheris, Maurizio F.; Felix, Stephan B.; Fischer-Posovszky, Pamela; Folsom, Aaron R.; Friedrich, Nele; Freimer, Nelson B.; Fu, Mao; Gaget, Stefan; Gejman, Pablo V.; Geus, Eco J. C.; Gieger, Christian; Gjesing, Anette P.; Goel, Anuj; Goyette, Philippe; Grallert, Harald; Graessler, Juergen; Greenawalt, Danielle M.; Groves, Christopher J.; Gudnason, Vilmundur; Guiducci, Candace; Hartikainen, Anna-Liisa; Hassanali, Neelam; Hall, Alistair S.; Havulinna, Aki S.; Hayward, Caroline; Heath, Andrew C.; Hengstenberg, Christian; Hicks, Andrew A.; Hinney, Anke; Hofman, Albert; Homuth, Georg; Hui, Jennie; Igl, Wilmar; Iribarren, Carlos; Isomaa, Bo; Jacobs, Kevin B.; Jarick, Ivonne; Jewell, Elizabeth; John, Ulrich; Jorgensen, Torben; Jousilahti, Pekka; Jula, Antti; Kaakinen, Marika; Kajantie, Eero; Kaplan, Lee M.; Kathiresan, Sekar; Kettunen, Johannes; Kinnunen, Leena; Knowles, Joshua W.; Kolcic, Ivana; Koenig, Inke R.; Koskinen, Seppo; Kovacs, Peter; Kuusisto, Johanna; Kraft, Peter; Kvaloy, Kirsti; Laitinen, Jaana; Lantieri, Olivier; Lanzani, Chiara; Launer, Lenore J.; Lecoeur, Cecile; Lehtimaeki, Terho; Lettre, Guillaume; Liu, Jianjun; Lokki, Marja-Liisa; Lorentzon, Mattias; Luben, Robert N.; Ludwig, Barbara; Manunta, Paolo; Marek, Diana; Marre, Michel; Martin, Nicholas G.; McArdle, Wendy L.; McCarthy, Anne; McKnight, Barbara; Meitinger, Thomas; Melander, Olle; Meyre, David; Midthjell, Kristian; Montgomery, Grant W.; Morken, Mario A.; Morris, Andrew P.; Mulic, Rosanda; Ngwa, Julius S.; Nelis, Mari; Neville, Matt J.; Nyholt, Dale R.; O'Donnell, Christopher J.; O'Rahilly, Stephen; Ong, Ken K.; Oostra, Ben; Pare, Guillaume; Parker, Alex N.; Perola, Markus; Pichler, Irene; Pietilaeinen, Kirsi H.; Platou, Carl G. P.; Polasek, Ozren; Pouta, Anneli; Rafelt, Suzanne; Raitakari, Olli; Rayner, Nigel W.; Ridderstrale, Martin; Rief, Winfried; Ruokonen, Aimo; Robertson, Neil R.; Rzehak, Peter; Salomaa, Veikko; Sanders, Alan R.; Sandhu, Manjinder S.; Sanna, Serena; Saramies, Jouko; Savolainen, Markku J.; Scherag, Susann; Schipf, Sabine; Schreiber, Stefan; Schunkert, Heribert; Silander, Kaisa; Sinisalo, Juha; Siscovick, David S.; Smit, Jan H.; Soranzo, Nicole; Sovio, Ulla; Stephens, Jonathan; Surakka, Ida; Swift, Amy J.; Tammesoo, Mari-Liis; Tardif, Jean-Claude; Teder-Laving, Maris; Teslovich, Tanya M.; Thompson, John R.; Thomson, Brian; Toenjes, Anke; Tuomi, Tiinamaija; van Meurs, Joyce B. J.; van Ommen, Gert-Jan; Vatin, Vincent; Viikari, Jorma; Visvikis-Siest, Sophie; Vitart, Veronique; Vogel, Carla I. G.; Voight, Benjamin F.; Waite, Lindsay L.; Wallaschofski, Henri; Walters, G. Bragi; Widen, Elisabeth; Wiegand, Susanna; Wild, Sarah H.; Willemsen, Gonneke; Witte, Daniel R.; Witteman, Jacqueline C.; Xu, Jianfeng; Zhang, Qunyuan; Zgaga, Lina; Ziegler, Andreas; Zitting, Paavo; Beilby, John P.; Farooqi, I. Sadaf; Hebebrand, Johannes; Huikuri, Heikki V.; James, Alan L.; Kaehoenen, Mika; Levinson, Douglas F.; Macciardi, Fabio; Nieminen, Markku S.; Ohlsson, Claes; Palmer, Lyle J.; Ridker, Paul M.; Stumvoll, Michael; Beckmann, Jacques S.; Boeing, Heiner; Boerwinkle, Eric; Boomsma, Dorret I.; Caulfield, Mark J.; Chanock, Stephen J.; Collins, Francis S.; Cupples, L. Adrienne; Smith, George Davey; Erdmann, Jeanette; Froguel, Philippe; Greonberg, Henrik; Gyllensten, Ulf; Hall, Per; Hansen, Torben; Harris, Tamara B.; Hattersley, Andrew T.; Hayes, Richard B.; Heinrich, Joachim; Hu, Frank B.; Hveem, Kristian; Illig, Thomas; Jarvelin, Marjo-Riitta; Kaprio, Jaakko; Karpe, Fredrik; Khaw, Kay-Tee; Kiemeney, Lambertus A.; Krude, Heiko; Laakso, Markku; Lawlor, Debbie A.; Metspalu, Andres; Munroe, Patricia B.; Ouwehand, Willem H.; Pedersen, Oluf; Penninx, Brenda W.; Peters, Annette; Pramstaller, Peter P.; Quertermous, Thomas; Reinehr, Thomas; Rissanen, Aila; Rudan, Igor; Samani, Nilesh J.; Schwarz, Peter E. H.; Shuldiner, Alan R.; Spector, Timothy D.; Tuomilehto, Jaakko; Uda, Manuela; Uitterlinden, Andre; Valle, Timo T.; Wabitsch, Martin; Waeber, Gerard; Wareham, Nicholas J.; Watkins, Hugh; Wilson, James F.; Wright, Alan F.; Zillikens, M. Carola; Chatterjee, Nilanjan; McCarroll, Steven A.; Purcell, Shaun; Schadt, Eric E.; Visscher, Peter M.; Assimes, Themistocles L.; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Groop, Leif C.; Haritunians, Talin; Hunter, David J.; Kaplan, Robert C.; Mohlke, Karen L.; O'Connell, Jeffrey R.; Peltonen, Leena; Schlessinger, David; Strachan, David P.; van Duijn, Cornelia M.; Wichmann, H-Erich; Frayling, Timothy M.; Thorsteinsdottir, Unnur; Abecasis, Goncalo R.; Barroso, Ines; Boehnke, Michael; Stefansson, Kari; North, Kari E.; McCarthy, Mark I.; Hirschhorn, Joel N.; Ingelsson, Erik; Loos, Ruth J. F.

    2010-01-01

    Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and similar to 2.8 million SNPs in up to 123,865 individuals with targeted follow up of

  10. Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index.

    OpenAIRE

    Shahrad Taheri; Ling Lin; Diane Austin; Terry Young; Emmanuel Mignot

    2004-01-01

    BACKGROUND: Sleep duration may be an important regulator of body weight and metabolism. An association between short habitual sleep time and increased body mass index (BMI) has been reported in large population samples. The potential role of metabolic hormones in this association is unknown. METHODS AND FINDINGS: Study participants were 1,024 volunteers from the Wisconsin Sleep Cohort Study, a population-based longitudinal study of sleep disorders. Participants underwent nocturnal polysomnogr...

  11. Body mass index and risk of second primary breast cancer: The WECARE Study

    OpenAIRE

    Brooks, Jennifer D.; John, Esther M.; Mellemkjær, Lene; Reiner, Anne S.; Malone, Kathleen E.; Lynch, Charles F.; Figueiredo, Jane C.; Robert W Haile; Shore, Roy E.; Bernstein, Jonine L.; Bernstein, Leslie

    2011-01-01

    The identification of potentially modifiable risk factors, such as body size, could allow for interventions that could help reduce the burden of contralateral breast cancer (CBC) among breast cancer survivors. Studies examining the relationship between body mass index (BMI) and CBC have yielded mixed results. From the population-based, case–control, Women's Environmental, Cancer and Radiation Epidemiology (WECARE) Study, we included 511 women with CBC (cases) and 999 women with unilateral bre...

  12. Misreporting and Misclassification: Implications for Socioeconomic Disparities in Body-mass Index and Obesity

    OpenAIRE

    Ljungvall, Åsa; Gerdtham, Ulf-G; Lindblad, Ulf

    2012-01-01

    Body-mass index (BMI) has become the standard proxy for obesity in social science research. This study deals with the potential problems related to, first, relying on self-reported weight and height to calculate BMI (misreporting), and, second, the concern that BMI is a deficient measure of body fat (misclassification). Using a regional Swedish sample, we analyze whether socioeconomic disparities in BMI are biased because of misreporting, and whether socioeconomic disparities in the risk of o...

  13. Association of Body Mass Index with Depression, Anxiety and Suicide—An Instrumental Variable Analysis of the HUNT Study

    OpenAIRE

    Johan Håkon Bjørngaard; David Carslake; Tom Ivar Lund Nilsen; Linthorst, Astrid C E; George Davey Smith; David Gunnell; Pål Richard Romundstad

    2015-01-01

    Objective: While high body mass index is associated with an increased risk of depression and anxiety, cumulative evidence indicates that it is a protective factor for suicide. The associations from conventional observational studies of body mass index with mental health outcomes are likely to be influenced by reverse causality or confounding by ill-health. In the present study, we investigated the associations between offspring body mass index and parental anxiety, depression and suicide ...

  14. Body Mass Index, Smoking and Hypertensive Disorders during Pregnancy: A Population Based Case-Control Study.

    Directory of Open Access Journals (Sweden)

    Thuridur A Gudnadóttir

    Full Text Available While obesity is an indicated risk factor for hypertensive disorders of pregnancy, smoking during pregnancy has been shown to be inversely associated with the development of preeclampsia and gestational hypertension. The purpose of this study was to investigate the combined effects of high body mass index and smoking on hypertensive disorders during pregnancy. This was a case-control study based on national registers, nested within all pregnancies in Iceland 1989-2004, resulting in birth at the Landspitali University Hospital. Cases (n = 500 were matched 1:2 with women without a hypertensive diagnosis who gave birth in the same year. Body mass index (kg/m2 was based on height and weight at 10-15 weeks of pregnancy. We used logistic regression models to calculate odds ratios and corresponding 95% confidence intervals as measures of association, adjusting for potential confounders and tested for additive and multiplicative interactions of body mass index and smoking. Women's body mass index during early pregnancy was positively associated with each hypertensive outcome. Compared with normal weight women, the multivariable adjusted odds ratio for any hypertensive disorder was 1.8 (95% confidence interval, 1.3-2.3 for overweight women and 3.1 (95% confidence interval, 2.2-4.3 for obese women. The odds ratio for any hypertensive disorder with obesity was 3.9 (95% confidence interval 1.8-8.6 among smokers and 3.0 (95% confidence interval 2.1-4.3 among non-smokers. The effect estimates for hypertensive disorders with high body mass index appeared more pronounced among smokers than non-smokers, although the observed difference was not statistically significant. Our findings may help elucidate the complicated interplay of these lifestyle-related factors with the hypertensive disorders during pregnancy.

  15. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.

    Science.gov (United States)

    Speliotes, Elizabeth K; Willer, Cristen J; Berndt, Sonja I; Monda, Keri L; Thorleifsson, Gudmar; Jackson, Anne U; Lango Allen, Hana; Lindgren, Cecilia M; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Vedantam, Sailaja; Winkler, Thomas W; Qi, Lu; Workalemahu, Tsegaselassie; Heid, Iris M; Steinthorsdottir, Valgerdur; Stringham, Heather M; Weedon, Michael N; Wheeler, Eleanor; Wood, Andrew R; Ferreira, Teresa; Weyant, Robert J; Segrè, Ayellet V; Estrada, Karol; Liang, Liming; Nemesh, James; Park, Ju-Hyun; Gustafsson, Stefan; Kilpeläinen, Tuomas O; Yang, Jian; Bouatia-Naji, Nabila; Esko, Tõnu; Feitosa, Mary F; Kutalik, Zoltán; Mangino, Massimo; Raychaudhuri, Soumya; Scherag, Andre; Smith, Albert Vernon; Welch, Ryan; Zhao, Jing Hua; Aben, Katja K; Absher, Devin M; Amin, Najaf; Dixon, Anna L; Fisher, Eva; Glazer, Nicole L; Goddard, Michael E; Heard-Costa, Nancy L; Hoesel, Volker; Hottenga, Jouke-Jan; Johansson, Asa; Johnson, Toby; Ketkar, Shamika; Lamina, Claudia; Li, Shengxu; Moffatt, Miriam F; Myers, Richard H; Narisu, Narisu; Perry, John R B; Peters, Marjolein J; Preuss, Michael; Ripatti, Samuli; Rivadeneira, Fernando; Sandholt, Camilla; Scott, Laura J; Timpson, Nicholas J; Tyrer, Jonathan P; van Wingerden, Sophie; Watanabe, Richard M; White, Charles C; Wiklund, Fredrik; Barlassina, Christina; Chasman, Daniel I; Cooper, Matthew N; Jansson, John-Olov; Lawrence, Robert W; Pellikka, Niina; Prokopenko, Inga; Shi, Jianxin; Thiering, Elisabeth; Alavere, Helene; Alibrandi, Maria T S; Almgren, Peter; Arnold, Alice M; Aspelund, Thor; Atwood, Larry D; Balkau, Beverley; Balmforth, Anthony J; Bennett, Amanda J; Ben-Shlomo, Yoav; Bergman, Richard N; Bergmann, Sven; Biebermann, Heike; Blakemore, Alexandra I F; Boes, Tanja; Bonnycastle, Lori L; Bornstein, Stefan R; Brown, Morris J; Buchanan, Thomas A; Busonero, Fabio; Campbell, Harry; Cappuccio, Francesco P; Cavalcanti-Proença, Christine; Chen, Yii-Der Ida; Chen, Chih-Mei; Chines, Peter S; Clarke, Robert; Coin, Lachlan; Connell, John; Day, Ian N M; den Heijer, Martin; Duan, Jubao; Ebrahim, Shah; Elliott, Paul; Elosua, Roberto; Eiriksdottir, Gudny; Erdos, Michael R; Eriksson, Johan G; Facheris, Maurizio F; Felix, Stephan B; Fischer-Posovszky, Pamela; Folsom, Aaron R; Friedrich, Nele; Freimer, Nelson B; Fu, Mao; Gaget, Stefan; Gejman, Pablo V; Geus, Eco J C; Gieger, Christian; Gjesing, Anette P; Goel, Anuj; Goyette, Philippe; Grallert, Harald; Grässler, Jürgen; Greenawalt, Danielle M; Groves, Christopher J; Gudnason, Vilmundur; Guiducci, Candace; Hartikainen, Anna-Liisa; Hassanali, Neelam; Hall, Alistair S; Havulinna, Aki S; Hayward, Caroline; Heath, Andrew C; Hengstenberg, Christian; Hicks, Andrew A; Hinney, Anke; Hofman, Albert; Homuth, Georg; Hui, Jennie; Igl, Wilmar; Iribarren, Carlos; Isomaa, Bo; Jacobs, Kevin B; Jarick, Ivonne; Jewell, Elizabeth; John, Ulrich; Jørgensen, Torben; Jousilahti, Pekka; Jula, Antti; Kaakinen, Marika; Kajantie, Eero; Kaplan, Lee M; Kathiresan, Sekar; Kettunen, Johannes; Kinnunen, Leena; Knowles, Joshua W; Kolcic, Ivana; König, Inke R; Koskinen, Seppo; Kovacs, Peter; Kuusisto, Johanna; Kraft, Peter; Kvaløy, Kirsti; Laitinen, Jaana; Lantieri, Olivier; Lanzani, Chiara; Launer, Lenore J; Lecoeur, Cecile; Lehtimäki, Terho; Lettre, Guillaume; Liu, Jianjun; Lokki, Marja-Liisa; Lorentzon, Mattias; Luben, Robert N; Ludwig, Barbara; Manunta, Paolo; Marek, Diana; Marre, Michel; Martin, Nicholas G; McArdle, Wendy L; McCarthy, Anne; McKnight, Barbara; Meitinger, Thomas; Melander, Olle; Meyre, David; Midthjell, Kristian; Montgomery, Grant W; Morken, Mario A; Morris, Andrew P; Mulic, Rosanda; Ngwa, Julius S; Nelis, Mari; Neville, Matt J; Nyholt, Dale R; O'Donnell, Christopher J; O'Rahilly, Stephen; Ong, Ken K; Oostra, Ben; Paré, Guillaume; Parker, Alex N; Perola, Markus; Pichler, Irene; Pietiläinen, Kirsi H; Platou, Carl G P; Polasek, Ozren; Pouta, Anneli; Rafelt, Suzanne; Raitakari, Olli; Rayner, Nigel W; Ridderstråle, Martin; Rief, Winfried; Ruokonen, Aimo; Robertson, Neil R; Rzehak, Peter; Salomaa, Veikko; Sanders, Alan R; Sandhu, Manjinder S; Sanna, Serena; Saramies, Jouko; Savolainen, Markku J; Scherag, Susann; Schipf, Sabine; Schreiber, Stefan; Schunkert, Heribert; Silander, Kaisa; Sinisalo, Juha; Siscovick, David S; Smit, Jan H; Soranzo, Nicole; Sovio, Ulla; Stephens, Jonathan; Surakka, Ida; Swift, Amy J; Tammesoo, Mari-Liis; Tardif, Jean-Claude; Teder-Laving, Maris; Teslovich, Tanya M; Thompson, John R; Thomson, Brian; Tönjes, Anke; Tuomi, Tiinamaija; van Meurs, Joyce B J; van Ommen, Gert-Jan; Vatin, Vincent; Viikari, Jorma; Visvikis-Siest, Sophie

    2010-11-01

    Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10⁻⁸), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

  16. Prediction of Elderly Anthropometric Dimension Based On Age, Gender, Origin, and Body Mass Index

    Science.gov (United States)

    Indah, P.; Sari, A. D.; Suryoputro, M. R.; Purnomo, H.

    2016-01-01

    Introduction: Studies have indicated that elderly anthropometric dimensions will different for each person. To determine whether there are differences in the anthropometric data of Javanese elderly, this study will analyze whether the variables of age, gender, origin, and body mass index (BMI) have been associated with elderly anthropometric dimensions. Age will be divided into elderly and old categories, gender will divide into male and female, origins were divided into Yogyakarta and Central Java, and for BMI only use the normal category. Method: Anthropometric studies were carried out on 45 elderly subjects in Sleman,Yogyakarta. Results and Discussion: The results showed that some elderly anthropometric dimensions were influenced by age, origin, and body mass index but gender doesn't significantly affect the elderly anthropometric dimensions that exist in the area of Sleman. The analysis has provided important aid when designing products that intended to the Javanese elderly Population.

  17. Childhood body mass index and the risk of prostate cancer in adult men

    DEFF Research Database (Denmark)

    Aarestrup, J; Gamborg, M; Cook, M B;

    2014-01-01

    BACKGROUND: Prostate cancer aetiology is poorly understood. It may have origins early in life; previously we found a positive association with childhood height. The effects of early life body mass index (BMI; kg m(-2)) on prostate cancer remain equivocal. We investigated if childhood BMI...... to the Danish Cancer Registry. Cox proportional hazards regressions were performed. RESULTS: Overall, 3355 men were diagnosed with prostate cancer. Body mass index during childhood was positively associated with adult prostate cancer. The hazard ratio of prostate cancer was 1.06 (95% confidence interval (CI): 1.......01-1.10) per BMI z-score at age 7, and 1.05 (95% CI: 1.01-1.10) per BMI z-score at age 13. Estimates were similar and significant at all other ages. However, adjustment for childhood height attenuated the associations at all but the youngest ages as most estimates became nonsignificant. CONCLUSIONS...

  18. Body Mass Index (BMI) in women booking for antenatal care: comparison between selfreported and digital measurements.

    LENUS (Irish Health Repository)

    Fattah, Chro

    2012-02-01

    OBJECTIVE: We set out to compare measurement of Body Mass Index (BMI) with selfreporting in women early in pregnancy. STUDY DESIGN: We studied 100 women booking for antenatal care in the first trimester with a normal ongoing pregnancy. Selfreported maternal weight and height were recorded and the Body Mass Index was calculated. Afterwards maternal weight and height were digitally measured and actual BMI was calculated. RESULTS: If selfreporting is used for BMI classification, we found that 22% of women were classified incorrectly when BMI was measured. 12% of the women who were classified as having a normal selfreported BMI were overweight and 5% classified as overweight were obese. Similar findings have been reported outside pregnancy. CONCLUSIONS: These findings have implications for clinical practice, and for research studies exploring the relationship between maternal adiposity and pregnancy complications.

  19. Weight gain in different periods of pregnancy and offspring's body mass index at 7 years of age

    DEFF Research Database (Denmark)

    Andersen, Camilla Schou; Gamborg, Michael; Sørensen, Thorkild I A;

    2011-01-01

    We investigated how average weekly gestational weight gain rates during three periods of pregnancy were related to the offspring's body mass index (BMI) at 7 years of age.......We investigated how average weekly gestational weight gain rates during three periods of pregnancy were related to the offspring's body mass index (BMI) at 7 years of age....

  20. Combining Body Mass Index With Measures of Central Obesity in the Assessment of Mortality in Subjects With Coronary Disease

    DEFF Research Database (Denmark)

    Coutinho, Thais; Goel, Kashish; Corrêa de Sá, Daniel;

    2013-01-01

    This study sought to assess the mortality risk of patients with coronary artery disease (CAD) based ona combination of body mass index (BMI) with measures of central obesity.......This study sought to assess the mortality risk of patients with coronary artery disease (CAD) based ona combination of body mass index (BMI) with measures of central obesity....

  1. Body mass index and smoking: cross-sectional study of a representative sample of adolescents in Denmark

    DEFF Research Database (Denmark)

    Dhariwal, Mukesh; Rasmussen, Mette; Holstein, Bjørn Evald

    2010-01-01

    To quantify the association between body mass index (BMI) and smoking (at all and daily smoking) stratified by gender, family social class, and ethnicity among adolescents aged between 13 and 15.......To quantify the association between body mass index (BMI) and smoking (at all and daily smoking) stratified by gender, family social class, and ethnicity among adolescents aged between 13 and 15....

  2. Bone Mass, Body Mass Index, and Lifestyle Factors: A Case Study of Walailak University Staff

    Directory of Open Access Journals (Sweden)

    Rapheeporn KHWANCHUEA

    2012-09-01

    Full Text Available To assess bone mineral density (BMD and explore lifestyle factors affecting BMD in 310 staff of Walailak University aged 25 - 45 years (men = 23.23 % and women 76.77 %. BMD was evaluated by Quantitative ultrasound (QUS analysis at the left distal-third radius. Anthropometric data including body mass index (BMI and waist circumferences (WC were measured, and lifestyle behaviors were also explored using the questionnaire. BMD status of both men and women showed similar results, 14.84 and 0.97 % of both genders were determined to have osteopenia and osteoporosis, respectively. Important data demonstrated the highest numbers of younger women aged 25 - 30 with osteopenia (30.61 %. Anthropometric results showed that 44.83 % of all subjects represented abnormal BMI (BMI < 18.5 and BMI  ³  23, and percentages of the men who had BMI more than 23 (51.39 % were larger than those of the women (30.67 %. In contrast, only 26.45 % of both genders demonstrated abnormal WC, and the numbers for women were higher. Descriptive data of beverage consumption showed that most of men and women subjects had caffeine and carbonated beverage intakes less than 7 cups per week (73.61 and 87.82 % and less than 3 cups per week (95.83 and 97.06 % respectively, whereas only 9.72 and 26.89 % of men and women consumed more than 3 packs of milk per week. Results of lifestyle behaviors showed that almost all subjects preferred exercise, but only 47.22 and 31.09 % of men and women exercises 3 or more times per week. The multivariate analysis showed that BMD status is significantly associated with age group and BMI (OR = 3.30, CI, 1.086 – 6.3747 and OR = 0.43, CI, 0.2697 – 0.9805, respectively after adjusting for age and gender. Normal BMI and older age group are the potential determinants, and other risk factors such as caffeine and carbonated beverages are sufficient concerns in adults.

  3. Intestinal Methane Production in Obese Individuals Is Associated with a Higher Body Mass Index

    OpenAIRE

    Basseri, Robert J.; Basseri, Benjamin; Pimentel, Mark; Chong, Kelly; Youdim, Adrienne; Low, Kimberly; Hwang, Laura; Soffer, Edy; Chang, Christopher; Mathur, Ruchi

    2012-01-01

    Background: Obesity is an epidemic that affects 1 in 3 individuals in the United States, and recent evidence suggests that enteric microbiota may play a significant role in the development of obesity. This study evaluated the association between methanogenic archaea and obesity in human subjects. Methods: Subjects with a body mass index (BMI) of 30 kg/m2 or higher were prospectively recruited from the weight loss program of a tertiary care medical center. Subjects who met the study's inclusio...

  4. Body Mass Index at a Medium Secure Unit: A Four-Year Service Evaluation

    OpenAIRE

    Abbasi, Yasir; Bowley, Stephanie; Matta, Simon; Bloye, Darran

    2011-01-01

    This study investigated changes in body mass index (BMI) in male patients at a medium secure unit (MSU) and the subsequent effects of several healthy initiatives over a period of four years. Data was collected from 2005 to 2009 and BMI was calculated on admission and subsequently at least once a year. Results The average BMI increased markedly over the years. A significant number of patients shifted from being overweight to clinically obese. Weight gain occurred mostly in the first yea...

  5. Increasing genetic variance of body mass index during the Swedish obesity epidemic

    DEFF Research Database (Denmark)

    Rokholm, Benjamin; Silventoinen, Karri; Tynelius, Per;

    2011-01-01

    There is no doubt that the dramatic worldwide increase in obesity prevalence is due to changes in environmental factors. However, twin and family studies suggest that genetic differences are responsible for the major part of the variation in adiposity within populations. Recent studies show that ...... that the genetic effects on body mass index (BMI) may be stronger when combined with presumed risk factors for obesity. We tested the hypothesis that the genetic variance of BMI has increased during the obesity epidemic....

  6. Association of Body Mass Index with Chromosome Damage Levels and Lung Cancer Risk among Males

    OpenAIRE

    Li, Xiaoliang; Bai, Yansen; Wang, Suhan; Nyamathira, Samuel Mwangi; Zhang, Xiao; Zhang, Wangzhen; Wang, Tian; Deng, Qifei; He, Meian; Zhang, Xiaomin; Wu, Tangchun; Guo, Huan

    2015-01-01

    Epidemiological studies have shown an etiological link between body mass index (BMI) and cancer risk, but evidence supporting these observations is limited. This study aimed to investigate potential associations of BMI with chromosome damage levels and lung cancer risk. First, we recruited 1333 male workers from a coke-oven plant to examine their chromosome damage levels; and then, a cohort study of 12 052 males was used to investigate the association of BMI with lung cancer incidence. We fur...

  7. Association Between Sleep Disorder and Increased Body Mass Index in Adult Patients

    OpenAIRE

    Bocicor Andreea Elena; Buicu Gabriela; Sabau Daniela; Varga Andreea; Tilea I; Gabos-Grecu I

    2016-01-01

    Introduction and objectives. Obesity is a public health issue, with increasing prevalence and incidence all over the world. Diet and exercise applied in obesity treatment are not always as effective as expected, as there are many other determining factors which can lead to obesity. One of these modifiable factors seem to be sleep disorder. The objective of our study was to test the positive association between the presence of sleep disorder and increased body mass index (BMI).

  8. Whether age of menarche is influenced by body mass index and lipoproteins profile? a retrospective study

    OpenAIRE

    Fereidoun Azizi; Fahimeh Ramezani Tehrani; Maryam Farahmand

    2012-01-01

    Background: Menarche, a milestone in the reproductive life span of a woman, is influenced by several genetics and environmental factors. There is no consensus regarding the impact of body mass index (BMI) and lipid profiles on the age of menarche, as the results of various studies demonstrate. Objective: To investigate the correlation between age of menarche and BMI/lipoprotein profile in a community sample of Iranian girls. Materials and Methods: In the study, 370 girls, aged 10-16 years, wh...

  9. Weight Misperceptions and Racial and Ethnic Disparities in Adolescent Female Body Mass Index

    OpenAIRE

    Ramona C. Krauss; Powell, Lisa M.; Roy Wada

    2012-01-01

    This paper investigated weight misperceptions as determinants of racial/ethnic disparities in body mass index (BMI) among adolescent females using data from the National Survey of Youth 1997. Compared to their white counterparts, higher proportions of black and Hispanic adolescent females underperceived their weight status; that is, they misperceived themselves to have lower weight status compared to their clinically defined weight status. Compared to their black counterparts, higher proporti...

  10. Postpartum Teens’ Breakfast Consumption is Associated with Snack and Beverage Intake and Body Mass Index

    OpenAIRE

    Haire-Joshu, Debra; Schwarz, Cynthia; Elizabeth L. Budd; Yount, Byron W.; Lapka, Christina

    2011-01-01

    Addressing high risk dietary patterns among postpartum teens may help reduce weight retention and prevent intergenerational obesity. The objective of this study was to describe the relationship between breakfast consumption and outcomes of snack and beverage intake and body mass index (BMI) among postpartum teens. During 2007–2009, 1,330 postpartum teens across 27 states participated in a cross-sectional, baseline assessment of a group-randomized, nested cohort study. Participants were enroll...

  11. Association of C - Reactive Protein and Body Mass Index with Duration of Mechanical Ventilation in

    OpenAIRE

    M. Safavi, M.D; A. Honarmand, M.D

    2007-01-01

    AbstractBackground and purpose: The aim of this study was to determine the incidence and presence of a relationship between predictors of body mass index (BMI) or C-reactive protein (CRP) and duration of mechanical ventilation, in trauma patients who were admitted to the intensive care unite (ICU). Furthermore, we compared their prognostic significance, with known indicators such as, the Sequential Organ Failure Assessment (SOFA) score.Materials and Methods: This prospective observational stu...

  12. Smoking and γ-Glutamyltransferase: Opposite Interactions with Alcohol Consumption and Body Mass Index

    OpenAIRE

    Breitling, Lutz P.; Arndt, Volker; Drath, Christoph; Rothenbacher, Dietrich; Brenner, Hermann

    2010-01-01

    Background Smoking has recently been suggested to synergistically interact with alcohol intake as a determinant of serum gamma-glutamyltransferase (γ-GT), an emergent powerful predictor of disease and mortality. This study investigated whether this also applies to higher smoking and alcohol exposure ranges and to body mass index (BMI), which likewise is strongly associated with γ-GT. Methodology/Principal Findings Analyses were based on occupational health examinations of more than 15,000 Ger...

  13. The relationship between maternal pregestational body mass index and head circumference of infants

    OpenAIRE

    Negin Rezavand; Abolhassan Seyedzadeh; Maryam Zangeneh; Firoozeh Veisy; Mansour Rezaie; Sara Mostofi

    2014-01-01

    Background: The infantile head circumference is an accepted criterion for measurement of fetal development that has a direct association with development of the nervous system. Maternal body mass index (BMI) is an important determining factor that can be useful for the mother’s metabolic state and growth modulation. The present study investigated the relationship between infantile head circumference and maternal pregestational BMI. Methods: In this descriptive-analytical study, 366 women ...

  14. Growth in Body Mass Index from Childhood into Adolescence: The Role of Sleep Duration and Quality

    Science.gov (United States)

    El-Sheikh, Mona; Bagley, Erika J.; Keiley, Margaret K.; Erath, Stephen A.

    2014-01-01

    This study examined longitudinal relations between sleep and body mass index (BMI) from late childhood ([X-bar] age = 9.44 at T1) to early adolescence ([X-bar] age = 11.36 at T3) with a relatively large (n = 273 at T1) and diverse (35% African Americans) sample. Sleep was assessed with actigraphy-based sleep minutes and self-reported sleep…

  15. Body Mass Index, Neighborhood Fast Food and Restaurant Concentration, and Car Ownership

    OpenAIRE

    Inagami, Sanae; Cohen, Deborah A.; Brown, Arleen F.; Asch, Steven M.

    2009-01-01

    Eating away from home and particularly fast food consumption have been shown to contribute to weight gain. Increased geographic access to fast food outlets and other restaurants may contribute to higher levels of obesity, especially in individuals who rely largely on the local environment for their food purchases. We examined whether fast food and restaurant concentrations are associated with body mass index and whether car ownership might moderate this association. We linked the 2000 US Cens...

  16. WHO European Childhood Obesity Surveillance Initiative: School Nutrition Environment and Body Mass Index in Primary Schools

    OpenAIRE

    Wijnhoven, Trudy M.A.; van Raaij, Joop M.A.; Agneta Sjöberg; Nazih Eldin; Agneta Yngve; Marie Kunešová; Gregor Starc; Rito, Ana I.; Vesselka Duleva; Maria Hassapidou; Éva Martos; Iveta Pudule; Ausra Petrauskiene; Victoria Farrugia Sant'Angelo; Ragnhild Hovengen

    2014-01-01

    Background: Schools are important settings for the promotion of a healthy diet and sufficient physical activity and thus overweight prevention. Objective: To assess differences in school nutrition environment and body mass index (BMI) in primary schools between and within 12 European countries. Methods: Data from the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) were used (1831 and 2045 schools in 2007/2008 and 2009/2010, respectively). School perso...

  17. Association between serum total testosterone and Body Mass Index in middle aged healthy men

    OpenAIRE

    Shamim, Muhammad Omar; Ali Khan, Farooq Munfaet; Arshad, Rabia

    2015-01-01

    Objective: To determine correlation of serum total testosterone with body mass index (BMI) and waist hip ratio (WHR) in healthy adult males. Methods: A cross sectional study was conducted on 200 nonsmoker healthy males (aged 30-50 years) university employees. They were selected by convenience sampling technique after a detailed medical history and clinical examination including BMI and Waist Hip Ratio (WHR) calculation. Blood sampling was carried out to measure serum total testosterone (TT) u...

  18. Spontaneous contralateral pneumothorax in a patient with low Body Mass Index

    OpenAIRE

    NAKAZAWA, KENSUKE; OHARA, GEN; KAGOHASHI, KATSUNORI; KURISHIMA, KOICHI; Ishibashi, Atsushi; SATOH, HIROAKI

    2012-01-01

    Spontaneous pneumothorax is most common in adolescents and young adults. Some of them develop contralateral pneumothorax. In this paper, we report the case of a patient with spontaneous contralateral pneumothorax, whose body mass index (BMI) was 18.8 kg/m2. For either chest physicians or thoracic surgeons, follow up with recognition of increased risk of the contralateral pneumothorax is important especially in patients with contralateral bullous lesions and low BMI.

  19. Body mass index in male and female children with infantile autism

    DEFF Research Database (Denmark)

    Mouridsen, Svend Erik; Rich, Bente; Isager, Torben

    2002-01-01

    was to evaluate body mass index (BMI) of children with infantile autism, by comparing the BMI of 117 children with infantile autism with the corresponding BMI percentiles in an age- and sex-matched reference population. The BMI distribution of the male, but not female, children with infantile autism...... was significantly lower than that of the age-matched reference population. There was no evidence that BMI was associated with intelligence or socioeconomic status among children with infantile autism....

  20. The influence of maternal body mass index on fetal weight estimation in twin pregnancy.

    LENUS (Irish Health Repository)

    Ryan, Helen M

    2013-11-08

    Sonographic estimation of fetal weight (EFW) is important in the management of high-risk pregnancies. The possibility that increased maternal body mass index (BMI) adversely affects EFW assessments in twin pregnancies is controversial. The aim of this study was to investigate the effect of maternal BMI on the accuracy of EFW assessments in twin gestations prospectively recruited for the ESPRiT (Evaluation of Sonographic Predictors of Restricted growth in Twins) study.

  1. Evaluation of Fruit Intake and its Relation to Body Mass Index of Adolescents

    OpenAIRE

    Ham, Eunah; Kim, Hyun-Jin

    2014-01-01

    Diets high in fruits and vegetables are recommended to maintain health. However, accurate fruit intake evaluation is hard and high sugar content in most of the fruits suggest possible negative relationships with health indices. The purpose of the present study was to evaluate the fruit intake status of adolescents and to examine the relationship between fruit intake and body mass index (BMI). For this, 400 middle and high school students were surveyed for their fruit eating attitude, preferen...

  2. Association Between Sleep Disorder and Increased Body Mass Index in Adult Patients

    Directory of Open Access Journals (Sweden)

    Bocicor Andreea Elena

    2016-06-01

    Full Text Available Introduction and objectives. Obesity is a public health issue, with increasing prevalence and incidence all over the world. Diet and exercise applied in obesity treatment are not always as effective as expected, as there are many other determining factors which can lead to obesity. One of these modifiable factors seem to be sleep disorder. The objective of our study was to test the positive association between the presence of sleep disorder and increased body mass index (BMI.

  3. Increased body mass index is a predisposition for treatment by total hip replacement

    OpenAIRE

    Jacobsen, Steffen; Sonne-Holm, Stig

    2005-01-01

    We investigated the radiological and epidemiological data of 4,151 subjects followed up from 1976 to 2003 to determine individual risk factors for hip osteoarthritis (OA), hip pain and/or treatment by total hip replacement (THR). Pelvic radiographs recorded in 1992 were assessed for evidence of hip-joint degeneration and dysplasia. Sequential body mass index (BMI) measurements from 1976 to 1992, age, exposure to daily lifting and hip dysplasia were entered into logistic regression analyses. T...

  4. Menstruation disorders in adolescents with eating disorders ? target body mass index percentiles for their resolution

    OpenAIRE

    Vale, B; De Brito, S.; Paulo, L; Moleiro, P.

    2014-01-01

    Objective To analyse the progression of body mass index in eating disorders and to determine the percentile for establishment and resolution of the disease. Methods A retrospective descriptive cross-sectional study. Review of clinical files of adolescents with eating disorders. Results Of the 62 female adolescents studied with eating disorders, 51 presented with eating disorder not otherwise specified, 10 anorexia nervosa, and 1 bulimia nervosa. Twenty-one of these adolescents had menstrual d...

  5. A genome-wide association study of body mass index across early life and childhood

    OpenAIRE

    Nicole M Warrington; Howe, Laura D; Paternoster, Lavinia; Kaakinen, Marika; Herrala, Sauli; Huikari, Ville; Wu, Yan Yan; Kemp, John P.; Timpson, Nicholas J.; Pourcain, Beate St; Davey Smith, George; Tilling, Kate; Jarvelin, Marjo-Riitta; Pennell, Craig E.; Evans, David M.

    2015-01-01

    Background: Several studies have investigated the effect of known adult body mass index (BMI) associated single nucleotide polymorphisms (SNPs) on BMI in childhood. There has been no genome-wide association study (GWAS) of BMI trajectories over childhood. Methods: We conducted a GWAS meta-analysis of BMI trajectories from 1 to 17 years of age in 9377 children (77 967 measurements) from the Avon Longitudinal Study of Parents and Children (ALSPAC) and the Western Australian Pregnancy Cohort (Ra...

  6. A genome-wide association study of body mass index across early life and childhood

    OpenAIRE

    Warrington, N.; Howe, L; Paternoster, L.; Kaakinen, M.; Herrala, S. (Sauli); Huikari, V.; Wu, Y.; Kemp, J.; Timpson, N.; St Pourcain, B.; Smith, G.; Tilling, K; Jarvelin, M; Pennell, C; Evans, D

    2015-01-01

    Background: Several studies have investigated the effect of known adult body mass index (BMI) associated single nucleotide polymorphisms (SNPs) on BMI in childhood. There has been no genome-wide association study (GWAS) of BMI trajectories over childhood. Methods: We conducted a GWAS meta-analysis of BMI trajectories from 1 to 17 years of age in 9377 children (77 967 measurements) from the Avon Longitudinal Study of Parents and Children (ALSPAC) and the Western Australian Pregnancy Cohort (Ra...

  7. The Relationship between Body Mass Index and Mental Health Among Iraq and Afghanistan Veterans

    OpenAIRE

    Maguen, Shira; Madden, Erin; Cohen, Beth; Bertenthal, Daniel; Neylan, Thomas; Talbot, Lisa; Grunfeld, Carl; SEAL, KAREN

    2013-01-01

    ABSTRACT BACKGROUND Obesity is a growing public health concern and is becoming an epidemic among veterans in the post-deployment period. OBJECTIVE To explore the relationship between body mass index (BMI) and posttraumatic stress disorder (PTSD) in a large cohort of Iraq and Afghanistan veterans, and to evaluate trajectories of change in BMI over 3 years. DESIGN Retrospective, longitudinal cohort analysis of veterans’ health records PARTICIPANTS A total of 496,722 veterans (59,790 female and ...

  8. Mortality attributable to excess body mass Index in Iran: Implementation of the comparative risk assessment methodology

    OpenAIRE

    Shirin Djalalinia; Sahar Saeedi Moghaddam; Niloofar Peykari; Amir Kasaeian; Ali Sheidaei; Anita Mansouri; Younes Mohammadi; Mahboubeh Parsaeian; Parinaz Mehdipour; Bagher Larijani; Farshad Farzadfar

    2015-01-01

    Background: The prevalence of obesity continues to rise worldwide with alarming rates in most of the world countries. Our aim was to compare the mortality of fatal disease attributable to excess body mass index (BMI) in Iran in 2005 and 2011. Methods: Using standards implementation comparative risk assessment methodology, we estimated mortality attributable to excess BMI in Iranian adults of 25-65 years old, at the national and sub-national levels for 9 attributable outcomes including; is...

  9. Body Mass Index and Depressive Symptoms in Older Adults: A Cross-Lagged Panel Analysis

    OpenAIRE

    Jinseok Kim; Jin-Won Noh; Jumin Park; Young Dae Kwon

    2014-01-01

    Background There are conflicting results about the association between body mass index (BMI) and depressive symptoms in older adults. The present study examined the relationship between weight and depressive symptoms over time in older adults in South Korea. Methods We used data from three waves of the Korean Longitudinal Study of Aging and ran a series of cross-lagged panel models to test the reciprocal relationship between depressive symptoms and obesity in older Korean adults. We assumed a...

  10. Comparison of body mass index in children of two different regions of welfare.

    OpenAIRE

    Abbas Shapouri Moghadam; Mohammad Safarian; Rahim Vakili; Seyed Morteza Ehteshamfar

    2015-01-01

    Socioeconomic basis of children obesity is of high importance for preventive policies. This study aimed to compare the prevalence of obesity among children living in two different levels of welfare regions in Mashhad northeast of Iran. A total of 625 primary school girls and boys aged 78-127 months were randomly selected, and values of their body mass index (BMI) were measured. The prevalence of both overweight and obesity were higher among students of enriched area in comparison with that of...

  11. Body mass index and obstetric outcomes in Saudi Arabia: a prospective cohort study

    OpenAIRE

    El-Gilany, Abdel-Hady; Hammad, Sabry

    2010-01-01

    BACKGROUND AND OBJECTIVES: We examined the effect of body mass index in early pregnancy on pregnancy outcome since no study in Saudi Arabia has addressed this question. METHODS: This prospective cohort study involved women registered for antenatal care during the first month of pregnancy at primary health care centers in Al-Hassa, Saudi Arabia. Data was collected from records and by direct interview. RESULTS: The study included 787 women. Compared to normal weight women (n=307), overweight (n...

  12. Body mass index and subjective well-being in young adults: a twin population study

    OpenAIRE

    Milla S Linna; Kaprio, Jaakko; Raevuori, Anu; Sihvola, Elina; Keski-Rahkonen, Anna; Rissanen, Aila

    2013-01-01

    Background Body mass index (BMI) is associated with subjective well-being. Higher BMI is believed to be related with lower well-being. However, the association may not be linear. Therefore, we investigated whether a nonlinear (U-shaped) trend would better describe this relationship, and whether eating disorders might account for the association in young adults. Methods FinnTwin16 study evaluated multiple measures of subjective well-being, including life satisfaction, General Health Questionna...

  13. Neighbourhood Influences on Children’s Weight-related Behaviours and Body Mass Index

    OpenAIRE

    Gabrielle L. Jenkin; Pearson, Amber L.; Graham Bentham; Peter Day; Simon Kingham

    2015-01-01

    Introduction: Neighbourhood contextual factors such as accessibility of food shops and green spaces are associated with adult bodyweight but not necessarily weight-related behaviours. Whether these associations are replicated amongst children is unknown.Aim: To understand which aspects of childrens' neighbourhoods are associated with unhealthy weight and weight-related behaviours.Methods: Individual-level data for children from the 2006/7 New Zealand Health Survey (of Body Mass Index (BMI), d...

  14. Acne: risk indicator for increased body mass index and insulin resistance.

    Science.gov (United States)

    Melnik, Bodo C; John, Swen Malte; Plewig, Gerd

    2013-11-01

    Acne appears to represent a visible indicator disease of over-activated mTORC1 signalling, an unfavour-able metabolic deviation on the road to serious common Western diseases of civilisation associated with increased body mass index and insulin resistance. Exaggerated mTORC1 signalling by Western diet explains the association of acne with increased body mass index, insulin resistance, and early onset of menarche. Both, a high glycaemic load and increased consumption of milk and milk products, staples of Western diet, aggravate mammalian target of rapamycin complex 1 signalling. This review of the literature summarises present evidence for an association between acne, increased body mass index, insulin resistance and Western diet. By dietary intervention with a Palaeolithic-type diet, the dermatologist has the chance to attenuate patients' increased mTORC1 signalling by reducing glycaemic load and milk consumption, which may not only improve acne but may delay the march to more serious mTORC1-driven diseases of civilisation. PMID:23975508

  15. Investigation of insulin resistance in narcoleptic patients: dependent or independent of body mass index?

    Directory of Open Access Journals (Sweden)

    Engel A

    2011-06-01

    Full Text Available Alice Engel1,2, Jana Helfrich1, Nina Manderscheid1, Petra B Musholt3, Thomas Forst3, Andreas Pfützner3, Norbert Dahmen1,21Department of Psychiatry, University of Mainz, Germany; 2Fachklinik Katzenelnbogen, Katzenelnbogen, Germany; 3IKFE, Institute for Clinical Research and Development, Mainz, GermanyBackground: Narcolepsy is a severe sleep-wake cycle disorder resulting in most cases from a lack of orexin, the energy balance-regulating hormone. Narcoleptic patients have been reported to suffer from an excess morbidity of Type 2 diabetes, even after correction for their often elevated body mass index.Methods: To explore whether narcolepsy is specifically associated with a propensity to develop insulin resistance, we measured fasting glucose, insulin, and intact proinsulin levels in 43 narcoleptic patients and 47 controls matched for body mass index and age. The proinsulin-to-insulin ratio was calculated. Insulin resistance was determined using the homeostatic model assessment method.Results: Narcoleptic patients did not show elevated insulin resistance parameters.Conclusion: In contrast with earlier reports, we found no evidence that narcolepsy specifically elevates the risk of insulin resistance (and consequently of type 2 diabetes independently of body mass index.Keywords: fasting glucose, insulin, intact proinsulin, narcolepsy, obesity

  16. Brain serotonin 2A receptor binding: Relations to body mass index, tobacco and alcohol use

    DEFF Research Database (Denmark)

    Erritzoe, D.; Frokjaer, V. G.; Haugbol, S.;

    2009-01-01

    to increased food and alcohol intake, and conversely, stimulation of the serotonergic system induces weight reduction and decreased food/alcohol intake as well as tobacco smoking. To investigate whether body weight, alcohol intake and tobacco smoking were related to the regulation of the cerebral serotonin 2A...... receptor (5-HT(2A)) in humans, we tested in 136 healthy human subjects if body mass index (BMI), degree of alcohol consumption and tobacco smoking was associated to the cerebral in vivo 5-HT(2A) receptor binding as measured with (18)F-altanserin PET. The subjects' BMI's ranged from 18.4 to 42.8 (25...

  17. Estimation of body mass index from the metrics of the first metatarsal

    Science.gov (United States)

    Dunn, Tyler E.

    Estimation of the biological profile from as many skeletal elements as possible is a necessity in both forensic and bioarchaeological contexts; this includes non-standard aspects of the biological profile, such as body mass index (BMI). BMI is a measure that allows for understanding of the composition of an individual and is traditionally divided into four groups: underweight, normal weight, overweight, and obese. BMI estimation incorporates both estimation of stature and body mass. The estimation of stature from skeletal elements is commonly included into the standard biological profile but the estimation of body mass needs to be further statistically validated to be consistently included. The bones of the foot, specifically the first metatarsal, may have the ability to estimate BMI given an allometric relationship to stature and the mechanical relationship to body mass. There are two commonly used methods for stature estimation, the anatomical method and the regression method. The anatomical method takes into account all of the skeletal elements that contribute to stature while the regression method relies on the allometric relationship between a skeletal element and living stature. A correlation between the metrics of the first metatarsal and living stature has been observed, and proposed as a method for valid stature estimation from the boney foot (Byers et al., 1989). Body mass estimation from skeletal elements relies on two theoretical frameworks: the morphometric and the mechanical approaches. The morphometric approach relies on the size relationship of the individual to body mass; the basic relationship between volume, density, and weight allows for body mass estimation. The body is thought of as a cylinder, and in order to understand the volume of this cylinder the diameter is needed. A commonly used proxy for this in the human body is skeletal bi-iliac breadth from rearticulated pelvic girdle. The mechanical method of body mass estimation relies on the

  18. The Body Mass Index and Waist Circumference as Predictors of Body Composition in Post CSCI Wheelchair Rugby Players (Preliminary Investigations

    Directory of Open Access Journals (Sweden)

    Zwierzchowska Anna

    2014-12-01

    Full Text Available The enforced sedentary lifestyle and muscle paresis below the level of injury are associated with adipose tissue accumulation in the trunk. The value of anthropometric indicators of obesity in patients with spinal cord injuries has also been called into question. We hypothesized that the Body Mass Index recommended by the WHO to diagnose obesity in general population has too low sensitivity in case of wheelchair rugby players.

  19. Changing guards: time to move beyond body mass index for population monitoring of excess adiposity.

    Science.gov (United States)

    Tanamas, S K; Lean, M E J; Combet, E; Vlassopoulos, A; Zimmet, P Z; Peeters, A

    2016-07-01

    With the obesity epidemic, and the effects of aging populations, human phenotypes have changed over two generations, possibly more dramatically than in other species previously. As obesity is an important and growing hazard for population health, we recommend a systematic evaluation of the optimal measure(s) for population-level excess body fat. Ideal measure(s) for monitoring body composition and obesity should be simple, as accurate and sensitive as possible, and provide good categorization of related health risks. Combinations of anthropometric markers or predictive equations may facilitate better use of anthropometric data than single measures to estimate body composition for populations. Here, we provide new evidence that increasing proportions of aging populations are at high health-risk according to waist circumference, but not body mass index (BMI), so continued use of BMI as the principal population-level measure substantially underestimates the health-burden from excess adiposity.

  20. Relationship between body mass index and women's body image, self-esteem and eating behaviours in pregnancy: a cross-cultural study.

    Science.gov (United States)

    Shloim, Netalie; Hetherington, Marion M; Rudolf, Mary; Feltbower, Richard G

    2015-04-01

    This study examined the relationship between self-esteem, restrained eating, body image and body mass index during pregnancy. A total of 110 pregnant Israeli and UK women completed the Rosenberg Self-Esteem Questionnaire, the Dutch Eating Behaviour Questionnaire, scales to assess body image and demographics. Body mass index was calculated from antenatal records. Regression modelling determined the relationship between variables, countries and body mass index categories. High correlations were found between body image and body mass index with significantly higher body dissatisfaction for Israeli women. Self-esteem scores for pregnant women were similar to those reported for non-pregnant women. Poorer body image and higher prevalence of restrained eating were found in healthy weight Israeli women.

  1. The variations in Body Mass Index of different types of cigarette smokers

    Directory of Open Access Journals (Sweden)

    H. Agnihotri

    2014-12-01

    Full Text Available The present study investigated the effect of both active and second hand smoking on Body Mass Index of adult smokers in rural areas of Chandigarh. The relationship of body mass index with smoking status was also assessed in current daily and intermittent smokers. The male subjects (N=240 of 20-30 years and 30-40 years age category were divided into four groups of 30 subjects each based on Global Adult Tobacco Survey Questionnaire, India as follows: Group 1 - Current daily cigarette smokers, Group 2 - current intermittent cigarette smokers, Group 3 - Second hand cigarette smokers and Group 4 - Non-smokers (Control group. One way ANOVA test showed non-significant differences between and within all the groups in body mass index (F=1.11, p>0.05 in 20-30 years age category. In 30-40 years age category, significant differences (F=4.11, p<0.05 were observed between and within all the groups. Post hoc Scheffe test in 30-40 years category also revealed significant mean differences between current daily smokers and non-smokers. Karl Pearson’s correlation test showed a highly significant inverse linear relationship (p<0.001 between pack years and BMI in both current daily and intermittent smokers. Current smoking of moderate intensity has an effect to alter relative fatness (or BMI of the body. There may be no substantial difference in BMI with moderate and light smoking as well as exposure to second-hand smoke (SHS in younger adults. The greater the number of cigarettes smoked, the lower the adult smoker's BMI in both current moderate and intermittent light smokers.

  2. Association between dietary glycemic index, glycemic load, and body mass index in the Inter99 study: is underreporting a problem?

    DEFF Research Database (Denmark)

    Lau, C.; Toft, U.; Tetens, Inge;

    2006-01-01

    Background: The few studies examining the potential associations between glycemic index (GI), glycemic load (GL), and body mass index (BMI) have provided no clear pictures. Underreporting of energy intake may be one explanation for this. Objective: We examined the associations between GI, GL......, and BMI by focusing on the confounding factor of total energy intake and the effect of exclusion of low energy reporters (LERs). Design: This was a cross-sectional study of 6334 subjects aged 30 - 60 y. Dietary intake was estimated from a food-frequency questionnaire. GI and GL were estimated by using......, and BMI. The confounders were sex, age, smoking, physical activity, alcohol intake, and energy intake. All analyses were conducted on 1) the entire population and 2) a subsample excluding LERs. Results: In the univariate analyses of the entire population, GL was inversely associated with BMI...

  3. Considering an affect regulation framework for examining the association between body dissatisfaction and positive body image in Black older adolescent females: does body mass index matter?

    Science.gov (United States)

    Webb, Jennifer B; Butler-Ajibade, Phoebe; Robinson, Seronda A

    2014-09-01

    The present study provided an initial evaluation of an affect regulation model describing the association between body dissatisfaction and two contemporary measures of positive body image among 247 Black college-bound older adolescent females. We further tested whether possessing a higher body mass index (BMI) would strengthen these associations. Self-reported height and weight were used to calculate BMI. Respondents also completed a culturally-sensitive figure rating scale along with assessments of body appreciation and body image flexibility. Results indicated a robust positive association between the two measures of positive body image; BMI was the strongest predictor of both body appreciation and body image flexibility with body size discrepancy (current minus ideal) contributing incremental variance to both models tested. Implications for improving our understanding of the association between positive and negative body image and bolstering positive body image to promote health-protective behaviors among Black young women at this developmental juncture are discussed. PMID:25079011

  4. Considering an affect regulation framework for examining the association between body dissatisfaction and positive body image in Black older adolescent females: does body mass index matter?

    Science.gov (United States)

    Webb, Jennifer B; Butler-Ajibade, Phoebe; Robinson, Seronda A

    2014-09-01

    The present study provided an initial evaluation of an affect regulation model describing the association between body dissatisfaction and two contemporary measures of positive body image among 247 Black college-bound older adolescent females. We further tested whether possessing a higher body mass index (BMI) would strengthen these associations. Self-reported height and weight were used to calculate BMI. Respondents also completed a culturally-sensitive figure rating scale along with assessments of body appreciation and body image flexibility. Results indicated a robust positive association between the two measures of positive body image; BMI was the strongest predictor of both body appreciation and body image flexibility with body size discrepancy (current minus ideal) contributing incremental variance to both models tested. Implications for improving our understanding of the association between positive and negative body image and bolstering positive body image to promote health-protective behaviors among Black young women at this developmental juncture are discussed.

  5. Considering an Affect Regulation Framework for Examining the Association Between Body Dissatisfaction and Positive Body Image in Black Older Adolescent Females: Does Body Mass Index Matter?

    OpenAIRE

    Webb, Jennifer B.; Butler-Ajibade, Phoebe; Robinson, Seronda A.

    2014-01-01

    The present study provided an initial evaluation of an affect regulation model describing the association between body dissatisfaction and two contemporary measures of positive body image among 247 Black college-bound older adolescent females. We further tested whether possessing a higher body mass index (BMI) would strengthen these associations. Self-reported height and weight were used to calculate BMI. Respondents also completed a culturally-sensitive figure rating scale along with assessm...

  6. SCREENING OF BODY MASS INDEX AND FUNCTIONAL FLATFOOT IN ADULT: AN OBSERVATIONAL STUDY

    Directory of Open Access Journals (Sweden)

    Ashwini Chougala

    2015-06-01

    Full Text Available Background: There is a relation between flatfoot and increased Body Mass Index (BMI. Increased weight leads to increase plantar pressure causing reduced distance between ground and arches of the foot. The purpose of the present study is to estimate the prevalence of flat feet in college going students, to determine the relationship between flat foot and Body Mass Index (BMI, and to compare prevalence of flat foot among college boys and girls. Materials and Method: Samples were taken according to willingness for participation; informed consent was given and signed from them. Height and weight of subjects were measured by using standard apparatus. Total numbers of males screened were 46 and females were 182. BMI was considered as the index of obesity .The international BMI cut–off values were used to determine obesity (BMI> 95th percentile, and foot structure assessment was performed with Denis Method. Significant relationship between obesity and flatfoot was observed. Result: A significant relationship (P≤0.01 was found between the prevalence of flatfoot and BMI. Also males were found to have higher prevalence of flatfoot than women in the age group of 18-25 years. Conclusion: The results of this study suggest that there is relationship between increased weight of person and structure of the foot. Males are more prone to flatfoot than females in the age group of 18-25 years.

  7. Different body mass index grade on the risk of developing glioma: a meta-analysis

    Institute of Scientific and Technical Information of China (English)

    Zifeng Dai; Qilin Huang; Haipeng Liu

    2015-01-01

    Background: Previous studies reported conflicting results about the risk of developing glioma and different body mass index.So we decided to execute a meta-analysis to solve the dispute.Methods: Comprehensive literature retrieval was carried in PubMed, MEDLINE, and EMBASE up to September 15, 2014.Hand literature information retrieval was not carried.Six studies were fit for this meta-analysis.Pooled hazard ratio (HR) and 95 % confidence interval (CI) of different body mass index grade were performed by fixed/random-effects models, except for normal weight which was referent.Results: Data of 3726 cases were included.Compared with normal weight (20 kg.m-2 < body mass index (BMI) ≤ 24.9 kg.m-2), the underweight (BMI ≤ 20 kg.m-2) might have lower incidence on the risk of developing glioma (HR =1.08, 95 % CI ranged 0.74 to 1.58, P =0.678).While the overweight (25 kg.m-2 < BMI ≤ 29.9 kg.m-2)and obesity (BMI ≥ 30 kg.m-2) were performed as a risk factor of developing glioma.The pooled HR of overweight group was 1.12 (95 % CI ranged 1.02 to 1.22, P=0.013);the pooled HR of obesity was 1.14 (95 % CI ranged 1.02 to 1.27, P =0.017).Sensitivity analysis approved that our results were stable.There was no publication bias of these studies.Conclusions: Underweight could decrease the risk of developing glioma.Excess BMI was considered as a risk factor to develop glioma.

  8. Association of Maternal Body Mass Index with Adverse Maternal and Prenatal Outcomes

    Directory of Open Access Journals (Sweden)

    Rahele Alijahan

    2013-09-01

    Full Text Available Background: The present study aimed to determine association between abnormal maternal body mass index and adverse maternal/prenatal outcomesMaterials and Methods: In this descriptive-correlation study 8270 pregnant women referred to rural and urban health centers of Ardabil district (from Mar 2009 to Dec 2010 were studied. Data were collected from prenatal healthcare records using a self designed questionnaire. Women with twin pregnancy, less than 18 and above 35 of age, and women with systemic or chronic disease were excluded from the study. The variables examined in this study include, demographic information (e.g. age, social and economy status, and literacy, present pregnancy information (e.g. parity, hemoglobin level, gestational diabetes, preeclampsia and prenatal information (e.g. preterm delivery, low birth weight, and congenital malformation. Data were analyzed through Kruscal wallis, chi-square, and logistic regression tests using SPSS-16.Results: Eight point two, 25 and 15.4% pregnant of women were underweight, overweight, and obese, respectively. Obese women were at increased risk for macrosomia (OR=1.820, CI: 1.345-2.447, p=0.001, unwanted pregnancy (OR= 1.436, CI: 1.198-1.720, p=0.001, pregnancy induced hypertension (OR= 1.633, CI: 1.072-2.486, p=0.022, preeclampsia (OR= 4.666, CI: 2.353-9.2550, p=0.001, and still birth (OR= 2.602, CI: 1.306-5.184, p=0.007. However, the risk of low birth weight delivery in underweight women were 1.6 times higher than the normal cases (OR= 1.674, CI: 0962-2.912, p=0.068.Conclusion: Considering high prevalence of abnormal maternal body mass index and its associated adverse maternal and prenatal outcomes; consultation before pregnancy is recommended in order to achieve normal body mass index and reduce the relevant complications.

  9. Relationship between Body Mass Index and Pancreas Volume in Japanese Adults

    OpenAIRE

    Kinsei Kou; Yoshifumi Saisho; Hiroshi Itoh; Masahiro Jinzaki

    2014-01-01

    Context The volume of the pancreas increases with obesity. Objective This study was aimed to explore the relationship between body mass index (BMI) and pancreas volume in Japanese. Methods The pancreas volume was examined in a total of 103 (60 men and 43 women) Japanese adults who had undergone abdominal computed tomography (CT) scan. The pancreas was outlined by hand in each CT image and the pancreas volume was computed by summing the product of pancreas area of each image and the CT section...

  10. Overlapping decline in orbitofrontal gray matter volume related to cocaine use and body mass index.

    Science.gov (United States)

    Smith, Dana G; Jones, P Simon; Williams, Guy B; Bullmore, Edward T; Robbins, Trevor W; Ersche, Karen D

    2015-01-01

    Loss of control over hedonically motivated actions is a defining component of impulse control disorders, such as drug dependence and the proposed 'food addiction' model of obesity. Devolution from goal-directed to compulsively maintained behaviors is partially attributed to abnormalities in the orbitofrontal cortex, an area critical in reward valuation. In the current study, overlapping reductions in orbitofrontal gray matter volume relating to body mass index were seen in healthy control and cocaine-dependent individuals, as well as in relation to duration of cocaine abuse, providing support for a shared neuropathology between the two conditions potentially related to dysfunctional reward-seeking behavior. PMID:23927455

  11. Effects of Playing a Serious Computer Game on Body Mass Index and Nutrition Knowledge in Women

    OpenAIRE

    Shiyko, Mariya; Hallinan, Sean; Seif El-Nasr, Magy; Subramanian, Shree; Castaneda-Sceppa, Carmen

    2016-01-01

    Background Obesity and weight gain is a critical public health concern. Serious digital games are gaining popularity in the context of health interventions. They use persuasive and fun design features to engage users in health-related behaviors in a non-game context. As a young field, research about effectiveness and acceptability of such games for weight loss is sparse. Objective The goal of this study was to evaluate real-world play patterns of SpaPlay and its impact on body mass index (BMI...

  12. Cardiorespiratory fitness and body mass index values in 9-year-old rural Norwegian children

    DEFF Research Database (Denmark)

    Resaland, G K; Mamen, A; Anderssen, S A;

    2009-01-01

    AIM: To describe cardiorespiratory fitness and body mass index (BMI) values in a representative population of 9-year-old Norwegian children in two rural communities and compare present values with previous findings. METHODS: Two hundred and fifty-nine 9-year-old children were invited, and 256......, children's BMI values seem to have increased substantially. This increase is most pronounced in girls. When assessing these differences using the PI, this increase is less marked. Comparing maximal oxygen uptake data with that in earlier Nordic studies, there is no evidence that fitness has declined among...

  13. Genetic studies of body mass index yield new insights for obesity biology

    OpenAIRE

    Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H.; Day, Felix R.; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L.; Yang, Jian; Damien C Croteau-Chonka; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339,224 individuals. This analysis identifies 97 BMI-associated loci (P <5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have sign...

  14. Genetic studies of body mass index yield new insights for obesity biology.

    Science.gov (United States)

    Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Hua Zhao, Jing; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K; Karjalainen, Juha; Schmidt, Ellen M; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L; Bragg-Gresham, Jennifer L; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B; Feenstra, Bjarke; Feitosa, Mary F; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U; Kanoni, Stavroula; Kleber, Marcus E; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Mateo Leach, Irene; Medina-Gomez, Carolina; Medland, Sarah E; Nalls, Michael A; Palmer, Cameron D; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J; Ju Sung, Yun; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M; Attwood, Antony P; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N; Bellis, Claire; Bennett, Amanda J; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L; Böttcher, Yvonne; Boyd, Heather A; Bruinenberg, Marcel; Caspersen, Ida H; Ida Chen, Yii-Der; Clarke, Robert; Daw, E Warwick; de Craen, Anton J M; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S F; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M; Garcia, Melissa E; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S; Golay, Alain; Goodall, Alison H; Gordon, Scott D; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L; Jeff, Janina M; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Sin Lo, Ken; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K E; Mahajan, Anubha; McArdle, Wendy L; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L; Morken, Mario A; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W; Nagaraja, Ramaiah; Nöthen, Markus M; Nolte, Ilja M; Pilz, Stefan; Rayner, Nigel W; Renstrom, Frida; Rettig, Rainer; Ried, Janina S; Ripke, Stephan; Robertson, Neil R; Rose, Lynda M; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R; Scott, William R; Seufferlein, Thomas; Shi, Jianxin; Vernon Smith, Albert; Smolonska, Joanna; Stanton, Alice V; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M; Sundström, Johan; Swertz, Morris A; Swift, Amy J; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C; Vermeulen, Sita H; Verweij, Niek; Vonk, Judith M; Waite, Lindsay L; Warren, Helen R; Waterworth, Dawn; Weedon, Michael N; Wilkens, Lynne R; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K; Wong, Andrew; Wright, Alan F; Zhang, Qunyuan; Brennan, Eoin P; Choi, Murim; Dastani, Zari; Drong, Alexander W; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R; Gharavi, Ali G; Goddard, Michael E; Handsaker, Robert E; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P; Ma, Baoshan; McCarroll, Steven A; McKnight, Amy J; Min, Josine L; Moffatt, Miriam F; Montgomery, Grant W; Murabito, Joanne M; Nicholson, George; Nyholt, Dale R; Okada, Yukinori; Perry, John R B; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M; Sandholm, Niina; Scott, Robert A; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; Van't Hooft, Ferdinand M; Vinkhuyzen, Anna A E; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T; Heath, Andrew C; Arveiler, Dominique; Bakker, Stephan J L; Beilby, John; Bergman, Richard N; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I; Chines, Peter S; Collins, Francis S; Crawford, Dana C; Cupples, L Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M; Dominiczak, Anna F; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G; Farrall, Martin; Felix, Stephan B; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G; Forrester, Terrence; Franco, Oscar H; Gansevoort, Ron T; Gejman, Pablo V; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S; Harris, Tamara B; Hattersley, Andrew T; Hicks, Andrew A; Hindorff, Lucia A; Hingorani, Aroon D; Hofman, Albert; Homuth, Georg; Hovingh, G Kees; Humphries, Steve E; Hunt, Steven C; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J Wouter; Jula, Antti M; Kaprio, Jaakko; Kastelein, John J P; Keinanen-Kiukaanniemi, Sirkka M; Kiemeney, Lambertus A; Knekt, Paul; Kooner, Jaspal S; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A; Langenberg, Claudia; Le Marchand, Loic; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C; McKenzie, Colin A; McKnight, Barbara; Moll, Frans L; Morris, Andrew D; Morris, Andrew P; Murray, Jeffrey C; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J; Ong, Ken K; Madden, Pamela A F; Pasterkamp, Gerard; Peden, John F; Peters, Annette; Postma, Dirkje S; Pramstaller, Peter P; Price, Jackie F; Qi, Lu; Raitakari, Olli T; Rankinen, Tuomo; Rao, D C; Rice, Treva K; Ridker, Paul M; Rioux, John D; Ritchie, Marylyn D; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J; Saramies, Jouko; Sarzynski, Mark A; Schunkert, Heribert; Schwarz, Peter E H; Sever, Peter; Shuldiner, Alan R; Sinisalo, Juha; Stolk, Ronald P; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C; Zillikens, M Carola; Adair, Linda S; Amouyel, Philippe; Asselbergs, Folkert W; Assimes, Themistocles L; Bochud, Murielle; Boehm, Bernhard O; Boerwinkle, Eric; Bornstein, Stefan R; Bottinger, Erwin P; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C; Chanock, Stephen J; Cooper, Richard S; de Bakker, Paul I W; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W; Froguel, Philippe; Groop, Leif C; Haiman, Christopher A; Hamsten, Anders; Hui, Jennie; Hunter, David J; Hveem, Kristian; Kaplan, Robert C; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B; Njølstad, Inger; Oostra, Ben A; Palmer, Colin N A; Pedersen, Nancy L; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E; Schlessinger, David; Slagboom, P Eline; Snieder, Harold; Spector, Tim D; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J; Watkins, Hugh; Weir, David R; Wichmann, H-Erich; Wilson, James F; Zanen, Pieter; Borecki, Ingrid B; Deloukas, Panos; Fox, Caroline S; Heid, Iris M; O'Connell, Jeffrey R; Strachan, David P; Stefansson, Kari; van Duijn, Cornelia M; Abecasis, Gonçalo R; Franke, Lude; Frayling, Timothy M; McCarthy, Mark I; Visscher, Peter M; Scherag, André; Willer, Cristen J; Boehnke, Michael; Mohlke, Karen L; Lindgren, Cecilia M; Beckmann, Jacques S; Barroso, Inês; North, Kari E; Ingelsson, Erik; Hirschhorn, Joel N; Loos, Ruth J F; Speliotes, Elizabeth K

    2015-02-12

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

  15. Age at menarche in the Korean female: secular trends and relationship to adulthood body mass index

    OpenAIRE

    Ahn, Ju Hyun; Lim, Se Won; Song, Bong Sub; Seo, Juhee; Lee, Jun Ah; Kim, Dong Ho; Lim, Jung Sub

    2013-01-01

    Purpose The objective of this study is to estimate the trend in age at menarche in the Korean female and evaluate the relationship between age at menarche and adult body mass index (BMI), which is a indicator of later-life health. Methods We conducted a cross-sectional analysis of a nationally representative sample (self-reported age at menarche and measured height and weight) of 11,065 females aged 15 and older. Data were obtained from the Fourth Korea National Health and Nutrition Examinati...

  16. [Childhood body mass index and the risk of coronary heart disease in adulthood

    DEFF Research Database (Denmark)

    Baker, Jennifer Lyn; Olsen, L.W.; Sørensen, Thorkild I.A.

    2008-01-01

    The severity of the long term consequences of the current childhood obesity epidemic on coronary heart disease is unknown. Therefore we investigated the association between body mass index (BMI) at ages 7-13 years and heart disease in adulthood among 276,835 Danish schoolchildren. We found...... that higher BMI during this period of childhood is associated with an increased risk of any, non-fatal and fatal heart disease in adulthood. Worldwide, as children are becoming heavier, our findings suggest that greater numbers of children are at risk of having coronary heart disease in adulthood...

  17. Genetic studies of body mass index yield new insights for obesity biology.

    Science.gov (United States)

    Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Hua Zhao, Jing; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K; Karjalainen, Juha; Schmidt, Ellen M; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L; Bragg-Gresham, Jennifer L; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B; Feenstra, Bjarke; Feitosa, Mary F; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U; Kanoni, Stavroula; Kleber, Marcus E; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Mateo Leach, Irene; Medina-Gomez, Carolina; Medland, Sarah E; Nalls, Michael A; Palmer, Cameron D; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J; Ju Sung, Yun; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M; Attwood, Antony P; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N; Bellis, Claire; Bennett, Amanda J; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L; Böttcher, Yvonne; Boyd, Heather A; Bruinenberg, Marcel; Caspersen, Ida H; Ida Chen, Yii-Der; Clarke, Robert; Daw, E Warwick; de Craen, Anton J M; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S F; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M; Garcia, Melissa E; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S; Golay, Alain; Goodall, Alison H; Gordon, Scott D; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L; Jeff, Janina M; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Sin Lo, Ken; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K E; Mahajan, Anubha; McArdle, Wendy L; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L; Morken, Mario A; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W; Nagaraja, Ramaiah; Nöthen, Markus M; Nolte, Ilja M; Pilz, Stefan; Rayner, Nigel W; Renstrom, Frida; Rettig, Rainer; Ried, Janina S; Ripke, Stephan; Robertson, Neil R; Rose, Lynda M; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R; Scott, William R; Seufferlein, Thomas; Shi, Jianxin; Vernon Smith, Albert; Smolonska, Joanna; Stanton, Alice V; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M; Sundström, Johan; Swertz, Morris A; Swift, Amy J; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C; Vermeulen, Sita H; Verweij, Niek; Vonk, Judith M; Waite, Lindsay L; Warren, Helen R; Waterworth, Dawn; Weedon, Michael N; Wilkens, Lynne R; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K; Wong, Andrew; Wright, Alan F; Zhang, Qunyuan; Brennan, Eoin P; Choi, Murim; Dastani, Zari; Drong, Alexander W; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R; Gharavi, Ali G; Goddard, Michael E; Handsaker, Robert E; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P; Ma, Baoshan; McCarroll, Steven A; McKnight, Amy J; Min, Josine L; Moffatt, Miriam F; Montgomery, Grant W; Murabito, Joanne M; Nicholson, George; Nyholt, Dale R; Okada, Yukinori; Perry, John R B; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M; Sandholm, Niina; Scott, Robert A; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; Van't Hooft, Ferdinand M; Vinkhuyzen, Anna A E; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T; Heath, Andrew C; Arveiler, Dominique; Bakker, Stephan J L; Beilby, John; Bergman, Richard N; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I; Chines, Peter S; Collins, Francis S; Crawford, Dana C; Cupples, L Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M; Dominiczak, Anna F; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G; Farrall, Martin; Felix, Stephan B; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G; Forrester, Terrence; Franco, Oscar H; Gansevoort, Ron T; Gejman, Pablo V; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S; Harris, Tamara B; Hattersley, Andrew T; Hicks, Andrew A; Hindorff, Lucia A; Hingorani, Aroon D; Hofman, Albert; Homuth, Georg; Hovingh, G Kees; Humphries, Steve E; Hunt, Steven C; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J Wouter; Jula, Antti M; Kaprio, Jaakko; Kastelein, John J P; Keinanen-Kiukaanniemi, Sirkka M; Kiemeney, Lambertus A; Knekt, Paul; Kooner, Jaspal S; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A; Langenberg, Claudia; Le Marchand, Loic; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C; McKenzie, Colin A; McKnight, Barbara; Moll, Frans L; Morris, Andrew D; Morris, Andrew P; Murray, Jeffrey C; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J; Ong, Ken K; Madden, Pamela A F; Pasterkamp, Gerard; Peden, John F; Peters, Annette; Postma, Dirkje S; Pramstaller, Peter P; Price, Jackie F; Qi, Lu; Raitakari, Olli T; Rankinen, Tuomo; Rao, D C; Rice, Treva K; Ridker, Paul M; Rioux, John D; Ritchie, Marylyn D; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J; Saramies, Jouko; Sarzynski, Mark A; Schunkert, Heribert; Schwarz, Peter E H; Sever, Peter; Shuldiner, Alan R; Sinisalo, Juha; Stolk, Ronald P; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C; Zillikens, M Carola; Adair, Linda S; Amouyel, Philippe; Asselbergs, Folkert W; Assimes, Themistocles L; Bochud, Murielle; Boehm, Bernhard O; Boerwinkle, Eric; Bornstein, Stefan R; Bottinger, Erwin P; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C; Chanock, Stephen J; Cooper, Richard S; de Bakker, Paul I W; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W; Froguel, Philippe; Groop, Leif C; Haiman, Christopher A; Hamsten, Anders; Hui, Jennie; Hunter, David J; Hveem, Kristian; Kaplan, Robert C; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B; Njølstad, Inger; Oostra, Ben A; Palmer, Colin N A; Pedersen, Nancy L; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E; Schlessinger, David; Slagboom, P Eline; Snieder, Harold; Spector, Tim D; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J; Watkins, Hugh; Weir, David R; Wichmann, H-Erich; Wilson, James F; Zanen, Pieter; Borecki, Ingrid B; Deloukas, Panos; Fox, Caroline S; Heid, Iris M; O'Connell, Jeffrey R; Strachan, David P; Stefansson, Kari; van Duijn, Cornelia M; Abecasis, Gonçalo R; Franke, Lude; Frayling, Timothy M; McCarthy, Mark I; Visscher, Peter M; Scherag, André; Willer, Cristen J; Boehnke, Michael; Mohlke, Karen L; Lindgren, Cecilia M; Beckmann, Jacques S; Barroso, Inês; North, Kari E; Ingelsson, Erik; Hirschhorn, Joel N; Loos, Ruth J F; Speliotes, Elizabeth K

    2015-02-12

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis. PMID:25673413

  18. The neighborhood social environment and body mass index among youth: a mediation analysis

    OpenAIRE

    Veitch Jenny; van Stralen Maartje M; Chinapaw Mai JM; te Velde Saskia J; Crawford David; Salmon Jo; Timperio Anna

    2012-01-01

    Abstract Background This study aimed to examine associations between aspects of the neighborhood social environment and body mass index (BMI) in youth both cross-sectionally and prospectively; and whether this association was mediated by physical activity, screen-time and sedentary time. Methods Data were collected in 2004 and 2006 in high and low socio-economic areas of Melbourne, Australia. In 2004, 185 children aged 8-9 years (47% boys) and 359 children aged 13-15 years (45% boys) particip...

  19. Energy intake, energy dispersion and body mass index interaction in adolescents

    OpenAIRE

    Kucukkomurler, Saime; Istik, Omer

    2016-01-01

    The aim of this study was to investigate dietary energy intake and energy dispersion among adolescents and to examine its relationship with Body Mass Index (BMI). Adolescents recalled food intake in the past 24 hours and energy intakes/expenditure were calculated. For the relation between BMI and energy intake percentage, ANOVA and Tukey post-hoc test were used. This research was performed in 2010 in Istanbul, Turkey. The study was carried out with 265 adolescents, 63.4% girls, aged between 1...

  20. Combined associations of prepregnancy body mass index and gestational weight gain with the outcome of pregnancy

    DEFF Research Database (Denmark)

    Nohr, E.A.; Vaeth, M.; Baker, J.L.;

    2008-01-01

    BACKGROUND: Although both maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) may affect birth weight, their separate and joint associations with complications of pregnancy and delivery and with postpartum weight retention are unclear. OBJECTIVES: We aimed to investigate...... the combined associations of prepregnancy BMI and GWG with pregnancy outcomes and to evaluate the trade-offs between mother and infant for different weight gains. DESIGN: Data for 60892 term pregnancies in the Danish National Birth Cohort were linked to birth and hospital discharge registers. Self...

  1. Genetic studies of body mass index yield new insights for obesity biology

    DEFF Research Database (Denmark)

    Locke, Adam E.; Kahali, Bratati; Berndt, Sonja I.;

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339......, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous systemin obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling...

  2. Combined associations of prepregnancy body mass index and gestational weight gain with the outcome of pregnancy

    DEFF Research Database (Denmark)

    Nohr, Ellen A; Vaeth, Michael; Baker, Jennifer Lyn;

    2008-01-01

    BACKGROUND: Although both maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) may affect birth weight, their separate and joint associations with complications of pregnancy and delivery and with postpartum weight retention are unclear. OBJECTIVES: We aimed to investigate...... prepregnancy BMI with cesarean delivery and were strongly associated with high postpartum weight retention. Moreover, greater weight gains and high maternal BMI decreased the risk of growth restriction and increased the risk of the infant's being born large-for-gestational-age or with a low Apgar score...

  3. Genetic studies of body mass index yield new insights for obesity biology

    Science.gov (United States)

    Day, Felix R.; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L.; Yang, Jian; Croteau-Chonka, Damien C.; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian’an; Mägi, Reedik; Randall, Joshua C.; Winkler, Thomas W.; Wood, Andrew R.; Workalemahu, Tsegaselassie; Faul, Jessica D.; Smith, Jennifer A.; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K.; Karjalainen, Juha; Schmidt, Ellen M.; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L.; Bragg-Gresham, Jennifer L.; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B.; Feenstra, Bjarke; Feitosa, Mary F.; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U.; Kanoni, Stavroula; Kleber, Marcus E.; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Leach, Irene Mateo; Medina-Gomez, Carolina; Medland, Sarah E.; Nalls, Michael A.; Palmer, Cameron D.; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J.; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J.; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W.; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V.; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M.; Attwood, Antony P.; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N.; Bellis, Claire; Bennett, Amanda J.; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L.; Böttcher, Yvonne; Boyd, Heather A.; Bruinenberg, Marcel; Caspersen, Ida H.; Chen, Yii-Der Ida; Clarke, Robert; Daw, E. Warwick; de Craen, Anton J. M.; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S. F.; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M.; Garcia, Melissa E.; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S.; Golay, Alain; Goodall, Alison H.; Gordon, Scott D.; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B.; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J.; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A.; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L.; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L.; Jeff, Janina M.; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R.; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Lo, Ken Sin; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K. E.; Mahajan, Anubha; McArdle, Wendy L.; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L.; Morken, Mario A.; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W.; Nagaraja, Ramaiah; Nöthen, Markus M.; Nolte, Ilja M.; Pilz, Stefan; Rayner, Nigel W.; Renstrom, Frida; Rettig, Rainer; Ried, Janina S.; Ripke, Stephan; Robertson, Neil R.; Rose, Lynda M.; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R.; Scott, William R.; Seufferlein, Thomas; Shi, Jianxin; Smith, Albert Vernon; Smolonska, Joanna; Stanton, Alice V.; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M.; Sundström, Johan; Swertz, Morris A.; Swift, Amy J.; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O.; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P.; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C.; Vermeulen, Sita H.; Verweij, Niek; Vonk, Judith M.; Waite, Lindsay L.; Warren, Helen R.; Waterworth, Dawn; Weedon, Michael N.; Wilkens, Lynne R.; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K.; Wong, Andrew; Wright, Alan F.; Zhang, Qunyuan; Brennan, Eoin P.; Choi, Murim; Dastani, Zari; Drong, Alexander W.; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R.; Gharavi, Ali G.; Goddard, Michael E.; Handsaker, Robert E.; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P.; Ma, Baoshan; McCarroll, Steven A.; McKnight, Amy J.; Min, Josine L.; Moffatt, Miriam F.; Montgomery, Grant W.; Murabito, Joanne M.; Nicholson, George; Nyholt, Dale R.; Okada, Yukinori; Perry, John R. B.; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M.; Sandholm, Niina; Scott, Robert A.; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; van ’t Hooft, Ferdinand M.; Vinkhuyzen, Anna A. E.; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T.; Heath, Andrew C.; Arveiler, Dominique; Bakker, Stephan J. L.; Beilby, John; Bergman, Richard N.; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J.; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I.; Chines, Peter S.; Collins, Francis S.; Crawford, Dana C.; Cupples, L. Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M.; Dominiczak, Anna F.; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G.; Farrall, Martin; Felix, Stephan B.; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G.; Forrester, Terrence; Franco, Oscar H.; Gansevoort, Ron T.; Gejman, Pablo V.; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S.; Harris, Tamara B.; Hattersley, Andrew T.; Hicks, Andrew A.; Hindorff, Lucia A.; Hingorani, Aroon D.; Hofman, Albert; Homuth, Georg; Hovingh, G. Kees; Humphries, Steve E.; Hunt, Steven C.; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B.; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J. Wouter; Jula, Antti M.; Kaprio, Jaakko; Kastelein, John J. P.; Keinanen-Kiukaanniemi, Sirkka M.; Kiemeney, Lambertus A.; Knekt, Paul; Kooner, Jaspal S.; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T.; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A.; Langenberg, Claudia; Marchand, Loic Le; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C.; McKenzie, Colin A.; McKnight, Barbara; Moll, Frans L.; Morris, Andrew D.; Morris, Andrew P.; Murray, Jeffrey C.; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J.; Ong, Ken K.; Madden, Pamela A. F.; Pasterkamp, Gerard; Peden, John F.; Peters, Annette; Postma, Dirkje S.; Pramstaller, Peter P.; Price, Jackie F.; Qi, Lu; Raitakari, Olli T.; Rankinen, Tuomo; Rao, D. C.; Rice, Treva K.; Ridker, Paul M.; Rioux, John D.; Ritchie, Marylyn D.; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J.; Saramies, Jouko; Sarzynski, Mark A.; Schunkert, Heribert; Schwarz, Peter E. H.; Sever, Peter; Shuldiner, Alan R.; Sinisalo, Juha; Stolk, Ronald P.; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C.; Zillikens, M. Carola; Adair, Linda S.; Amouyel, Philippe; Asselbergs, Folkert W.; Assimes, Themistocles L.; Bochud, Murielle; Boehm, Bernhard O.; Boerwinkle, Eric; Bornstein, Stefan R.; Bottinger, Erwin P.; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C.; Chanock, Stephen J.; Cooper, Richard S.; de Bakker, Paul I. W.; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W.; Froguel, Philippe; Groop, Leif C.; Haiman, Christopher A.; Hamsten, Anders; Hui, Jennie; Hunter, David J.; Hveem, Kristian; Kaplan, Robert C.; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G.; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B.; Njølstad, Inger; Oostra, Ben A.; Palmer, Colin N. A.; Pedersen, Nancy L.; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E.; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E.; Schlessinger, David; Slagboom, P. Eline; Snieder, Harold; Spector, Tim D.; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G.; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J.; Watkins, Hugh; Weir, David R.; Wichmann, H-Erich; Wilson, James F.; Zanen, Pieter; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Heid, Iris M.; O’Connell, Jeffrey R.; Strachan, David P.; Stefansson, Kari; van Duijn, Cornelia M.; Abecasis, Gonçalo R.; Franke, Lude; Frayling, Timothy M.; McCarthy, Mark I.; Visscher, Peter M.; Scherag, André; Willer, Cristen J.; Boehnke, Michael; Mohlke, Karen L.; Lindgren, Cecilia M.; Beckmann, Jacques S.; Barroso, Inês; North, Kari E.; Ingelsson, Erik; Hirschhorn, Joel N.; Loos, Ruth J. F.; Speliotes, Elizabeth K.

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis. PMID:25673413

  4. Assortative marriages by body mass index have increased simultaneously with the obesity epidemic

    DEFF Research Database (Denmark)

    Adeltoft, Teresa Ajslev; Ängquist, Lars Henrik; Silventoinen, Karri;

    2012-01-01

    Background: The genetic predisposition to obesity may have contributed to the obesity epidemic through assortative mating. We investigated whether spouses were positively assorted by body mass index (BMI; = kg/m(2)) in late childhood, and whether changes in assorted marriage by upper BMI...... percentile were higher and increased more; from 1.39, 1.10-1.81, to 2.39, 1.85-3.09 (p = 0.004). Interpretation: Spousal correlations by pre-marital BMIs were small and stable during the past 65 years. Yet, there were assorted marriages between spouses with high BMI at age 13 years and the tendency increased...

  5. Association between body mass index and caries among children and adolescents

    DEFF Research Database (Denmark)

    Lempert, Susanne M; Froberg, Karsten; Christensen, Lisa;

    2013-01-01

    OBJECTIVE: The aim of this article was to examine the relationship between childhood caries, body mass index (BMI) and subsequent changes in BMI over 6 years, and to investigate whether these associations were modified by social class. METHODS: Data were from the European Youth Heart Study (EYHS...... and subsequent changes in BMI was found, but only among children with well-educated mothers, suggesting that high caries experience may be a marker for low future risk of overweight among the more advantaged. Associations did not appear to be significant among the less advantaged; however, numbers in this group...

  6. Children’s body mass index and nutrition intake in HIV/AIDS

    OpenAIRE

    LIN, CHINQING; Li, Li; Ji, Guoping; Wu, Sheng; Semaan, Alan

    2008-01-01

    HIV/AIDS in China poses many challenges for caregivers and their children. A total of 154 caregivers of HIV/AIDS-affected families were interviewed to examine the children’s nutrition intake and body mass index (BMI) in the context of HIV/AIDS in the family. The results showed that 25% of children in HIV/AIDS-affected families were underweight or at risk of being underweight according to US criteria. More than half the children reported that their consumption of protein such as meat, eggs or ...

  7. Body Mass Index, Migraine, Migraine Frequency, and Migraine Features in Women

    OpenAIRE

    Winter, Anke C; Berger, Klaus; Buring, Julie E.; Kurth, Tobias

    2009-01-01

    We evaluated the association of body mass index (BMI) with migraine and migraine specifics in a cross-sectional study of 63,467 women. 12,613 (19.9%) women reported any history of migraine, of whom 9,195 had active migraine. Compared with women without migraine and a BMI =35kg/m2 had adjusted odds ratios (ORs) (95%CIs) of 1.03 (0.95-1.12) for any history of migraine. Findings were similar for active migraineurs. Women with a BMI of >=35kg/m2 had increased risk for low and high migraine freque...

  8. Low breastfeeding rates and body mass index in Danish children of women with gestational diabetes mellitus

    DEFF Research Database (Denmark)

    Fenger-Grøn, Jesper; Fenger-Grøn, Morten; Blunck, Charlotte Holst;

    2015-01-01

    Background Offspring from women with gestational diabetes mellitus (GDM) are at risk for later overweight, and the aim of treatment regimens is to normalize their prognosis. While the general concept is that breastfeeding is protective and should be promoted, some studies report increased levels...... of insulin and glucose in breast milk of women with diabetes, possibly increasing risks to the children. Previous studies may have low retention rates or mix GDM and pre-GDM, and often knowledge of confounders like maternal body mass index (BMI), level of hyperglycemia and feeding patterns is lacking. Data...

  9. Differences among skeletal muscle mass indices derived from height-, weight-, and body mass index-adjusted models in assessing sarcopenia

    Science.gov (United States)

    Kim, Kyoung Min; Jang, Hak Chul; Lim, Soo

    2016-01-01

    Aging processes are inevitably accompanied by structural and functional changes in vital organs. Skeletal muscle, which accounts for 40% of total body weight, deteriorates quantitatively and qualitatively with aging. Skeletal muscle is known to play diverse crucial physical and metabolic roles in humans. Sarcopenia is a condition characterized by significant loss of muscle mass and strength. It is related to subsequent frailty and instability in the elderly population. Because muscle tissue is involved in multiple functions, sarcopenia is closely related to various adverse health outcomes. Along with increasing recognition of the clinical importance of sarcopenia, several international study groups have recently released their consensus on the definition and diagnosis of sarcopenia. In practical terms, various skeletal muscle mass indices have been suggested for assessing sarcopenia: appendicular skeletal muscle mass adjusted for height squared, weight, or body mass index. A different prevalence and different clinical implications of sarcopenia are highlighted by each definition. The discordances among these indices have emerged as an issue in defining sarcopenia, and a unifying definition for sarcopenia has not yet been attained. This review aims to compare these three operational definitions and to introduce an optimal skeletal muscle mass index that reflects the clinical implications of sarcopenia from a metabolic perspective. PMID:27334763

  10. Increased body mass index is a predisposition for treatment by total hip replacement

    DEFF Research Database (Denmark)

    Jacobsen, Steffen; Sonne-Holm, Stig

    2005-01-01

    -joint degeneration and dysplasia. Sequential body mass index (BMI) measurements from 1976 to 1992, age, exposure to daily lifting and hip dysplasia were entered into logistic regression analyses. The prevalence of hip dysplasia ranged from 5.4% to 12.8% depending on the radiographical index used. Radiological hip OA...... prevalence was 1.0--2.5% in subjects <60 years of age and 4.4--5.3% in subjects >or=60 years of age. While radiological OA was significantly influenced by hip dysplasia in men and hip dysplasia and age in women, the risk of THR being performed was only influenced by BMI assessed in 1976. Hip......We investigated the radiological and epidemiological data of 4,151 subjects followed up from 1976 to 2003 to determine individual risk factors for hip osteoarthritis (OA), hip pain and/or treatment by total hip replacement (THR). Pelvic radiographs recorded in 1992 were assessed for evidence of hip...

  11. Trends of Age at Menarche and Association with Body Mass Index in Chinese School-Aged Girls, 1985-2010.

    OpenAIRE

    Song, Yi; Ma, Jun; Wang, Hai-Jun; Wang, Zhiqiang; Hu, Peijin; Zhang, Bing; Agardh, Anette

    2014-01-01

    To estimate the shifts in age at menarche from 1985 to 2010, compare the differences of average age at menarche between urban and rural groups, and determine the association of menarche with body mass index (BMI).

  12. Body mass index and its association with lumbar disc herniation and sciatica: a large-scale, population-based study

    OpenAIRE

    Samartzis, D; Karppinen, JI; Luk, KDK; Cheung, KMC

    2014-01-01

    INTRODUCTION: This large-scale study addressed the association of body mass index (BMI), especially overweight / obesity with lumbar disc herniation, its global lumbar involvement and implications with sciatica that little of which is ...

  13. Stagnation in body mass index in Denmark from 1997/1998 to 2004/2005, but with geographical diversity

    DEFF Research Database (Denmark)

    Svendstrup, Mathilde; Knudsen, Nils Jacob; Jørgensen, Torben;

    2011-01-01

    We analyzed the trend in body mass index (BMI) as well as in the prevalence of overweight and obesity among Danish adults, mainly women, from 1997/1998 to 2004/2005 and evaluated any regional differences....

  14. Association analyses of 249,796 individuals reveal eighteen new loci associated with body mass index

    Science.gov (United States)

    Speliotes, Elizabeth K.; Willer, Cristen J.; Berndt, Sonja I.; Monda, Keri L.; Thorleifsson, Gudmar; Jackson, Anne U.; Allen, Hana Lango; Lindgren, Cecilia M.; Luan, Jian’an; Mägi, Reedik; Randall, Joshua C.; Vedantam, Sailaja; Winkler, Thomas W.; Qi, Lu; Workalemahu, Tsegaselassie; Heid, Iris M.; Steinthorsdottir, Valgerdur; Stringham, Heather M.; Weedon, Michael N.; Wheeler, Eleanor; Wood, Andrew R.; Ferreira, Teresa; Weyant, Robert J.; Segré, Ayellet V.; Estrada, Karol; Liang, Liming; Nemesh, James; Park, Ju-Hyun; Gustafsson, Stefan; Kilpeläinen, Tuomas O.; Yang, Jian; Bouatia-Naji, Nabila; Esko, Tõnu; Feitosa, Mary F.; Kutalik, Zoltán; Mangino, Massimo; Raychaudhuri, Soumya; Scherag, Andre; Smith, Albert Vernon; Welch, Ryan; Zhao, Jing Hua; Aben, Katja K.; Absher, Devin M.; Amin, Najaf; Dixon, Anna L.; Fisher, Eva; Glazer, Nicole L.; Goddard, Michael E.; Heard-Costa, Nancy L.; Hoesel, Volker; Hottenga, Jouke-Jan; Johansson, Åsa; Johnson, Toby; Ketkar, Shamika; Lamina, Claudia; Li, Shengxu; Moffatt, Miriam F.; Myers, Richard H.; Narisu, Narisu; Perry, John R.B.; Peters, Marjolein J.; Preuss, Michael; Ripatti, Samuli; Rivadeneira, Fernando; Sandholt, Camilla; Scott, Laura J.; Timpson, Nicholas J.; Tyrer, Jonathan P.; van Wingerden, Sophie; Watanabe, Richard M.; White, Charles C.; Wiklund, Fredrik; Barlassina, Christina; Chasman, Daniel I.; Cooper, Matthew N.; Jansson, John-Olov; Lawrence, Robert W.; Pellikka, Niina; Prokopenko, Inga; Shi, Jianxin; Thiering, Elisabeth; Alavere, Helene; Alibrandi, Maria T. S.; Almgren, Peter; Arnold, Alice M.; Aspelund, Thor; Atwood, Larry D.; Balkau, Beverley; Balmforth, Anthony J.; Bennett, Amanda J.; Ben-Shlomo, Yoav; Bergman, Richard N.; Bergmann, Sven; Biebermann, Heike; Blakemore, Alexandra I.F.; Boes, Tanja; Bonnycastle, Lori L.; Bornstein, Stefan R.; Brown, Morris J.; Buchanan, Thomas A.; Busonero, Fabio; Campbell, Harry; Cappuccio, Francesco P.; Cavalcanti-Proença, Christine; Chen, Yii-Der Ida; Chen, Chih-Mei; Chines, Peter S.; Clarke, Robert; Coin, Lachlan; Connell, John; Day, Ian N.M.; den Heijer, Martin; Duan, Jubao; Ebrahim, Shah; Elliott, Paul; Elosua, Roberto; Eiriksdottir, Gudny; Erdos, Michael R.; Eriksson, Johan G.; Facheris, Maurizio F.; Felix, Stephan B.; Fischer-Posovszky, Pamela; Folsom, Aaron R.; Friedrich, Nele; Freimer, Nelson B.; Fu, Mao; Gaget, Stefan; Gejman, Pablo V.; Geus, Eco J.C.; Gieger, Christian; Gjesing, Anette P.; Goel, Anuj; Goyette, Philippe; Grallert, Harald; Gräßler, Jürgen; Greenawalt, Danielle M.; Groves, Christopher J.; Gudnason, Vilmundur; Guiducci, Candace; Hartikainen, Anna-Liisa; Hassanali, Neelam; Hall, Alistair S.; Havulinna, Aki S.; Hayward, Caroline; Heath, Andrew C.; Hengstenberg, Christian; Hicks, Andrew A.; Hinney, Anke; Hofman, Albert; Homuth, Georg; Hui, Jennie; Igl, Wilmar; Iribarren, Carlos; Isomaa, Bo; Jacobs, Kevin B.; Jarick, Ivonne; Jewell, Elizabeth; John, Ulrich; Jørgensen, Torben; Jousilahti, Pekka; Jula, Antti; Kaakinen, Marika; Kajantie, Eero; Kaplan, Lee M.; Kathiresan, Sekar; Kettunen, Johannes; Kinnunen, Leena; Knowles, Joshua W.; Kolcic, Ivana; König, Inke R.; Koskinen, Seppo; Kovacs, Peter; Kuusisto, Johanna; Kraft, Peter; Kvaløy, Kirsti; Laitinen, Jaana; Lantieri, Olivier; Lanzani, Chiara; Launer, Lenore J.; Lecoeur, Cecile; Lehtimäki, Terho; Lettre, Guillaume; Liu, Jianjun; Lokki, Marja-Liisa; Lorentzon, Mattias; Luben, Robert N.; Ludwig, Barbara; Manunta, Paolo; Marek, Diana; Marre, Michel; Martin, Nicholas G.; McArdle, Wendy L.; McCarthy, Anne; McKnight, Barbara; Meitinger, Thomas; Melander, Olle; Meyre, David; Midthjell, Kristian; Montgomery, Grant W.; Morken, Mario A.; Morris, Andrew P.; Mulic, Rosanda; Ngwa, Julius S.; Nelis, Mari; Neville, Matt J.; Nyholt, Dale R.; O’Donnell, Christopher J.; O’Rahilly, Stephen; Ong, Ken K.; Oostra, Ben; Paré, Guillaume; Parker, Alex N.; Perola, Markus; Pichler, Irene; Pietiläinen, Kirsi H.; Platou, Carl G.P.; Polasek, Ozren; Pouta, Anneli; Rafelt, Suzanne; Raitakari, Olli; Rayner, Nigel W.; Ridderstråle, Martin; Rief, Winfried; Ruokonen, Aimo; Robertson, Neil R.; Rzehak, Peter; Salomaa, Veikko; Sanders, Alan R.; Sandhu, Manjinder S.; Sanna, Serena; Saramies, Jouko; Savolainen, Markku J.; Scherag, Susann; Schipf, Sabine; Schreiber, Stefan; Schunkert, Heribert; Silander, Kaisa; Sinisalo, Juha; Siscovick, David S.; Smit, Jan H.; Soranzo, Nicole; Sovio, Ulla; Stephens, Jonathan; Surakka, Ida; Swift, Amy J.; Tammesoo, Mari-Liis; Tardif, Jean-Claude; Teder-Laving, Maris; Teslovich, Tanya M.; Thompson, John R.; Thomson, Brian; Tönjes, Anke; Tuomi, Tiinamaija; van Meurs, Joyce B.J.; van Ommen, Gert-Jan; Vatin, Vincent; Viikari, Jorma; Visvikis-Siest, Sophie; Vitart, Veronique; Vogel, Carla I. G.; Voight, Benjamin F.; Waite, Lindsay L.; Wallaschofski, Henri; Walters, G. Bragi; Widen, Elisabeth; Wiegand, Susanna; Wild, Sarah H.; Willemsen, Gonneke; Witte, Daniel R.; Witteman, Jacqueline C.; Xu, Jianfeng; Zhang, Qunyuan; Zgaga, Lina; Ziegler, Andreas; Zitting, Paavo; Beilby, John P.; Farooqi, I. Sadaf; Hebebrand, Johannes; Huikuri, Heikki V.; James, Alan L.; Kähönen, Mika; Levinson, Douglas F.; Macciardi, Fabio; Nieminen, Markku S.; Ohlsson, Claes; Palmer, Lyle J.; Ridker, Paul M.; Stumvoll, Michael; Beckmann, Jacques S.; Boeing, Heiner; Boerwinkle, Eric; Boomsma, Dorret I.; Caulfield, Mark J.; Chanock, Stephen J.; Collins, Francis S.; Cupples, L. Adrienne; Smith, George Davey; Erdmann, Jeanette; Froguel, Philippe; Grönberg, Henrik; Gyllensten, Ulf; Hall, Per; Hansen, Torben; Harris, Tamara B.; Hattersley, Andrew T.; Hayes, Richard B.; Heinrich, Joachim; Hu, Frank B.; Hveem, Kristian; Illig, Thomas; Jarvelin, Marjo-Riitta; Kaprio, Jaakko; Karpe, Fredrik; Khaw, Kay-Tee; Kiemeney, Lambertus A.; Krude, Heiko; Laakso, Markku; Lawlor, Debbie A.; Metspalu, Andres; Munroe, Patricia B.; Ouwehand, Willem H.; Pedersen, Oluf; Penninx, Brenda W.; Peters, Annette; Pramstaller, Peter P.; Quertermous, Thomas; Reinehr, Thomas; Rissanen, Aila; Rudan, Igor; Samani, Nilesh J.; Schwarz, Peter E.H.; Shuldiner, Alan R.; Spector, Timothy D.; Tuomilehto, Jaakko; Uda, Manuela; Uitterlinden, André; Valle, Timo T.; Wabitsch, Martin; Waeber, Gérard; Wareham, Nicholas J.; Watkins, Hugh; Wilson, James F.; Wright, Alan F.; Zillikens, M. Carola; Chatterjee, Nilanjan; McCarroll, Steven A.; Purcell, Shaun; Schadt, Eric E.; Visscher, Peter M.; Assimes, Themistocles L.; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Groop, Leif C.; Haritunians, Talin; Hunter, David J.; Kaplan, Robert C.; Mohlke, Karen L.; O’Connell, Jeffrey R.; Peltonen, Leena; Schlessinger, David; Strachan, David P.; van Duijn, Cornelia M.; Wichmann, H.-Erich; Frayling, Timothy M.; Thorsteinsdottir, Unnur; Abecasis, Gonçalo R.; Barroso, Inês; Boehnke, Michael; Stefansson, Kari; North, Kari E.; McCarthy, Mark I.; Hirschhorn, Joel N.; Ingelsson, Erik; Loos, Ruth J.F.

    2010-01-01

    Obesity is globally prevalent and highly heritable, but the underlying genetic factors remain largely elusive. To identify genetic loci for obesity-susceptibility, we examined associations between body mass index (BMI) and ~2.8 million SNPs in up to 123,865 individuals, with targeted follow-up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity-susceptibility loci and identified 18 new loci associated with BMI (P<5×10−8), one of which includes a copy number variant near GPRC5B. Some loci (MC4R, POMC, SH2B1, BDNF) map near key hypothalamic regulators of energy balance, and one is near GIPR, an incretin receptor. Furthermore, genes in other newly-associated loci may provide novel insights into human body weight regulation. PMID:20935630

  15. Height, weight and body mass index in early adulthood and risk of schizophrenia

    DEFF Research Database (Denmark)

    Sørensen, Holger Jelling; Mortensen, E L; Reinisch, J M;

    2006-01-01

    status when the cohort members were 1 year old, birth weight, birth length, and maternal pre-pregnancy BMI. RESULTS: Forty-five cases of schizophrenia had a lower young adult mean body weight and BMI than controls. A significant inverse relationship between BMI and risk of later schizophrenia was found....... No significant differences between cases and controls were observed with respect to adult height. CONCLUSION: Independent of several possible confounders, an inverse relationship between young adult BMI and risk of later development of schizophrenia was demonstrated in this all-male sample.......OBJECTIVE: To illuminate the possible associations between height, weight, and body mass index (BMI) during early adulthood and the development of schizophrenia. METHOD: This prospective study is based on an all-male sample of 3210 individuals from the Copenhagen Perinatal Cohort, comprising...

  16. Characterization of genetic and lifestyle factors for determining variation in body mass index, fat mass, percentage of fat mass, and lean mass.

    Science.gov (United States)

    Deng, H W; Lai, D B; Conway, T; Li, J; Xu, F H; Davies, K M; Recker, R R

    2001-01-01

    In this study, we simultaneously characterized genetic and lifestyle factors (exercise, smoking, and alcohol consumption) in determining variation in body mass index (BMI), fat mass, percentage of fat mass (PFM), and lean mass while adjusting for the effects of age and sex. Six hundred fifty-eight Caucasian individuals from 48 pedigrees were studied for BMI. Among these individuals, 289 from 38 pedigrees were studied for fat mass, PFM, and lean mass measured by dual X-ray absorptiometry (DXA). After adjusting for age, sex, and lifestyle factors, the heritabilities (h(2)) of BMI, fat mass, PFM, and lean mass ranged from 0.52 to 0.57 with associated standard errors ranging from 0.09 to 0.14. After accounting for significant sex and age effects, exercise had significant effects for all the phenotypes studied, and the effects of smoking and alcohol consumption were not significant. Therefore, significant proportions of variation in BMI, fat mass, PFM, and lean mass were under genetic control, and exercise had a significant effect in reducing BMI, fat mass, and PFM and in increasing lean mass. This study warrants further genetic linkage analyses to search for genes for the obesity-related phenotypes measured by DXA in our population.

  17. Assessing the Influence of Sleep-Wake Variables on Body Mass Index (BMI in Adolescents

    Directory of Open Access Journals (Sweden)

    Christoph Randler

    2013-05-01

    Full Text Available Recent work has established an association between overweight/obesity and sleep duration, suggesting that short sleep duration and timing of sleeping may lead to overweight. Most of these studies considered sleep-length rather than any other aspects associated with the sleep and wake rhythm, e.g. chronotype, which is a measure of timing of sleeping (‘when to sleep’; based on the midpoint of sleep. The objective of this study was to assess the influence of different factors of the sleep-wake cycle and of co-variates on the Body Mass Index in a cross-sectional questionnaire study. Nine hundred and thirteen pupils (406 boys, 507 girls from Southwestern Germany participated in this study. Mean age was 13.7 ± 1.5 (SD years and range was between 11 – 16 years. We found that chronotype (β = .079 and social jetlag (β = .063 showed a significant influence on Body Mass Index (BMI, while sleep duration did not. Social jetlag is the absolute difference between mid-sleep time on workdays and free days. Further, screen time (in front of TV, computer, β = .13 was positively related with BMI. Self-efficacy on nutrition (β = -.11, a psychological variable important in health-behaviour models, showed an influence with high scores on self-efficacy related to lower BMI. A high BMI was correlated with low fast-food consumption (β = -.12 suggesting that adolescents with high BMI may exert some control over their eating.

  18. Sonographic evaluation of plantar fasciitis and relation to body mass index

    Energy Technology Data Exchange (ETDEWEB)

    Ozdemir, Huseyin [Department of Radiology Firat University, Faculty of Medicine, Elazig 23119 (Turkey)]. E-mail: ozdemir@firat.edu.tr; Yilmaz, Erhan [Department Orthopedic Firat University, Faculty of Medicine, Elazig (Turkey); Murat, Ayse [Department of Radiology Firat University, Faculty of Medicine, Elazig 23119 (Turkey); Karakurt, Lokman [Department Orthopedic Firat University, Faculty of Medicine, Elazig (Turkey); Poyraz, A. Kursad [Department of Radiology Firat University, Faculty of Medicine, Elazig 23119 (Turkey); Ogur, Erkin [Department of Radiology Firat University, Faculty of Medicine, Elazig 23119 (Turkey)

    2005-06-01

    Purpose: We have investigated the role of sonography in the diagnosis of plantar fasciitis. Materials and methods: This study evaluates 39 patients with plantar fasciitis and control group of 22 healthy volunteers. The plantar fascia thickness was measured 5 mm distal to the insertion of the calcaneus of plantar aponeurosis. Qualitative parameters such as decreased echogenity, biconvexity, perifascial fluid and calcification of plantar fascia were also noted. Results: Mean plantar fascia thickness was measured 2.9 mm in patients with unilateral heel pain, 2.2 mm for contralateral normal heel and 2.5 mm for control group. There was a statistically significant difference between heel with plantar fasciitis, contralateral normal heel and control groups (p = 0.009 and 0.0001, respectively). Mean body mass index was 28 kg/m{sup 2} in patients with heel pain and 25 kg/m{sup 2} in control group. Body mass index measurements were significantly different between plantar fasciitis and control groups. We found reduced plantar fascia echogenity in 16 cases (41%), calcaneal spur in 20 cases (51%), biconvex appearance in two cases (5.1%) and perifascial fluid in one case (2.5%). Conclusion: We conclude that in patients with plantar fasciitis, ultrasound may detect relatively small differences in plantar fascia thickness even in clinically unequivocal plantar fasciitis.

  19. Correlation between body mass index and the risk factors and severity of coronary artery disease

    Directory of Open Access Journals (Sweden)

    Jing LI

    2011-04-01

    Full Text Available Objective To assess the correlation between body mass index and the risk factors and severity of coronary artery disease.Methods Five thousand two hundred and ninety-four patients with suspected coronary artery disease,who underwent coronary angiography from Jan.2001 to Mar.2007 at 20 medical centers in China,were enrolled in the present study.The patients were divided into normal,overweight and obesity group,and body mass index(BMI,blood pressure(BP,blood glucose,serum total cholesterol(TC,triglyceride(TG,low-density lipoprotein cholesterol(LDL-C and high-density lipoprotein cholesterol(HDL-C were measured.The correlation between BMI and the risk factors and severity of coronary artery disease(CAD was analyzed.And the correlation between gender in different BMI group and CAD rick factors was also evaluated.Results The BMI was correlated with BP,TC,blood glucose,age and HDL-C(P 0.05 in male group.The BMI was correlated with BP,TC,TG,LDL-C and high blood glucose(P 0.05 in female group.Logistic regression analysis showed that hypertension was a prominent predictor of overweight and obesity(OR=2.102,95%CI 1.762~2.509.Conclusion BMI is significantly correlated with blood glucose,BP,TG,TC,LDL-C and HDL-C,but it is not an independent risk factor for CAD.

  20. Massachusetts Pediatricians' Views Toward Body Mass Index Screening in Schools: Continued Controversy.

    Science.gov (United States)

    Bottino, Clement J; de Ferranti, Sarah D; Meyers, Alan F; Rhodes, Erinn T

    2016-08-01

    Objective Evaluate Massachusetts pediatricians' views toward school-based body mass index screening since its implementation. Methods Survey of 286 members of the Massachusetts Chapter of the American Academy of Pediatrics on attitudes toward screening and perceived impact on clinical practice. Results Overall, 36.3% supported screening, with suburban or rural pediatricians significantly less likely (vs urban) to indicate support. Less than 10% of pediatricians agreed or strongly agreed that screening improved communication with schools (4.2%), communication with families (8.9%), or helped them care for patients (7.0%), with suburban or rural pediatricians significantly less likely to agree. Most pediatricians reported contact from patients regarding screening (59.4%) and identifying concerns from patients regarding screening during office visits (60.4%), including bullying and self-esteem. Suburban or rural pediatricians were significantly more likely to report patient contact and concerns related to screening. Conclusions Support for school-based body mass index screening is low among Massachusetts pediatricians, particularly among suburban and rural pediatricians. PMID:26637404

  1. The Relationship between dental status, body mass index and nutrient intake

    Directory of Open Access Journals (Sweden)

    Roodabeh Koodaryan

    2014-07-01

    Full Text Available Introduction: Nutrition is one of the basic requirements for growth and development. In all the age groups, good oral health is necessary for masticatory efficacy, sense of taste, deglutition, articulation and aesthetics. The aim of this study was to assess the relationship between tooth loss and food intake in a group of middle aged population.Materials and Methods: A total number of 200 participants with age range of 40-60 years were chosen and divided into four groups. The study population was classified into one of four groups by number of permanent teeth present. Required data for the study were gathered by interviews, oral and dental examinations, anthropometric measurements and 24-hour dietary recall. Data were analyzed statistically by descriptive methods, Variance test, Kruskal-Wallis test and Pearson’s chi-square test.Results: Statistical analysis proved that, by controlling important confounding factors, individuals with more teeth had higher mean body mass index, weight, height, energy and nutrient intake compared to those with fewer teeth.Conclusion: Food intake and nutritional status are associated with oral health status and number of teeth. Key words: Body mass index; Food intake; Tooth loss  

  2. Cytokine responses in relation to age, gender, body mass index, Mycobacterium tuberculosis infection, and otitis media among inuit in greenland

    DEFF Research Database (Denmark)

    Nielsen, Nina Odgaard; Soborg, Bolette; Børresen, Malene;

    2013-01-01

    To evaluate the cytokine response pattern in Inuit in Greenland in relation to age, gender, body mass index (BMI), Mycobacterium tuberculosis infection (MTI), and otitis media (OM) to assess whether Inuit may have signs of impaired immune responsiveness to infection.......To evaluate the cytokine response pattern in Inuit in Greenland in relation to age, gender, body mass index (BMI), Mycobacterium tuberculosis infection (MTI), and otitis media (OM) to assess whether Inuit may have signs of impaired immune responsiveness to infection....

  3. Assessment of nutritional status in adult patients with cystic fibrosis: whole-body bioimpedance vs body mass index, skinfolds, and leg-to-leg bioimpedance

    NARCIS (Netherlands)

    Hollander, F.M.; Roos, de N.M.; Vries, de J.H.M.; Berkhout, van F.T.

    2005-01-01

    Objective: To investigate whether body mass index (BMI) or body fat percentage estimated from BMI, skinfolds, or leg-to-leg bioimpedance are good indicators of nutritional status in adult patients with cystic fibrosis. Body fat percentage measured by whole-body bioimpedance was used as the reference

  4. Body Fat and Body-Mass Index among a Multiethnic Sample of College-Age Men and Women

    Directory of Open Access Journals (Sweden)

    Catherine L. Carpenter

    2013-01-01

    Full Text Available Obesity prevalence and average body composition vary by US race and gender. Asian Americans have the lowest prevalence of obesity. Relying on body-mass index (BMI to estimate obesity prevalence may misclassify subgroups that appear normally weighted but have excess body fat. We evaluated percentage body fat (PBF and BMI to determine whether BMI reflects PBF consistently across different races. 940 college students were recruited from a local public university over four consecutive years. We measured PBF by bioelectrical impedance analysis (BIA, weight by physicians’ scales, and height with stadiometers. Our sample comprised Asians (49%, Caucasians (23%, Hispanics (7%, and Other (21%. Participants averaged 21.4 years old; BMI was 22.9 kg/m2; PBF was 24.8%. BMI and PBF varied significantly by race and gender (P value = 0.002 and 0.005 for men; 0.0009 and 0.0008 for women. Asian-American women had the lowest BMI (21.5 kg/m2 but the second highest PBF (27.8%. Linear association between BMI and PBF was the weakest ( among Asian-American women and BMI had the poorest sensitivity (37% to detect PBF. The high PBF with low BMI pattern exhibited by Asian-American women suggests that they could escape detection for obesity-related disease if BMI is the sole measure that estimates body composition.

  5. Body Image: Relationhsip to Attachment, Body Mass Index and Dietary Practices among College Students

    OpenAIRE

    Sira, Natalia

    2003-01-01

    ABSTRACT Body image or satisfaction with physical appearance has been established as an important aspect of self-worth and mental health across the life span. It is related to self-esteem, sexuality, family relationships and identity. Given the fact that physical appearance is a multifaceted structural concept that depends, not only on inner-biological, but also a psychological and socio-cultural components, the purpose of this study was to examine variables that are related to and infl...

  6. Structural and interpersonal characteristics of family meals: associations with adolescent body mass index and dietary patterns.

    Science.gov (United States)

    Berge, Jerica M; Jin, Seok Won; Hannan, Peter; Neumark-Sztainer, Dianne

    2013-06-01

    The last decade of research has suggested that family meals play an important role in promoting healthful dietary intake in youth. However, little is known about the structural characteristics and interpersonal dynamics of family meals that might help to inform why family meals are protective for youth. The current mixed methods, cross-sectional study conducted in 2010-2011 includes adolescents and parents who participated in two linked population-based studies. Participants included 40 parents (91.5% female) and adolescents (57.5% female) from the Minneapolis/St Paul, MN, area participating in EAT (Eating and Activity Among Teens) 2010 and F-EAT (Families and Eating and Activity Among Teens). The structural (eg, length of the meal, types of foods served) and interpersonal characteristics (eg, communication, emotion/affect management) of family meals were described, and associations between interpersonal dynamics at family meals and adolescent body mass index and dietary intake were examined via direct observational methods. Families were videorecorded during two mealtimes in their homes. Results indicated that family meals were approximately 20 minutes in length, included multiple family members, were typically served family style (70%), and occurred in the kitchen 62% of the time and 38% of the time in another room (eg, family room, office). In addition, significant associations were found between positive interpersonal dynamics (ie, communication, affect management, interpersonal involvement, overall family functioning) at family meals and lower adolescent body mass index and higher vegetable intake. These findings add to the growing body of literature on family meals by providing a better understanding of what is happening at family meals in order to inform obesity-prevention studies and recommendations for providers working with families of youth.

  7. Anthropometric parameters: weight height, body mass index and mammary volume in relationship with the mammographic pattern

    International Nuclear Information System (INIS)

    A prospective study to attempt to relate the anthropometric parameters of height, weight, body mass index as well as age with the mammographic patterns obtained for the patients and obtain an anthropometric profile was carried out. The study was performed in 1.000 women who underwent a mammography in cranial-caudal and medial lateral oblique projection of both breasts, independently of whether they were screened or diagnosed. Prior to the performance of the mammography, weight and height were obtained, and this was also performed by the same technicians, and the patient were asked their bra size to deduce breast volume. With the weight, the body mass index of Quetelet was calculated (weight [kg]/height''2 (ml). After reading the mammography, the patient was assigned to one of the four mammographic patterns considered in the BIRADS (Breast Imaging Reporting and Data System) established by the ACR (American College of Radiology): type I (fat). type II (disperse fibroglandular densities), type III (fibroglandular densities distributed heterogeneously), type 4 (dense). The results were introduced into a computer database and the SPSS 8.0 statistical program was applied, using the statistical model of multivariant logistic regression. In women under 40 years, with normal weight, the dense breast pattern accounted for 67.8% and as the body mass index (BMI) increased, this pattern decreased to 25.1%. The fat pattern is 20% and as the BMI increases, this increased to 80%. In 40-60 year old women with normal weight, the dense pattern accounts for 44% and decreases to 20.9% in the grades II, III and IV obese. The fat pattern is 11.1% and increases to 53.7% in the grade II, III and IV obese. In women over 60 with normal, the dense pattern accounts for 19.3% and and decreases to 13% in the grade III obese. The fat pattern is 5.3% and increases to 20.2% in the grade iii of obesity. As age increases, the probability of presenting a mammographic pattern with a fat image in the

  8. Influence of age, menopause status, body mass index and physical activity on body composition and body fat distribution in midlife women

    Institute of Scientific and Technical Information of China (English)

    Wei Dai-min; Yu Qi; Zhang Ying; Chen Feng-ling

    2012-01-01

    Objective: To investigate the influence of age,menopause status,body mass index (BMI) and physical activity on body composition and body fat distribution in Chinese midlife women.Methods: The healthy women who underwent anniversary health checkup in Peking Union Medical College Hospital were recruited cross-sectionally.The level of physical activity was determined via International Physical Activity Questionnaire-Short in Chinese Version.The body composition and fat distribution were measured by dualenergy X-ray absorptiometry.Results: A total of 162 women with average age 52 years (40-62 years) were recruited.Multivariate linear regression analysis was performed to test the relationship between age,menopause status,BMI and physical activity and parameters of body composition and body fat distribution.The total fat tissue percentage was positively associated with BMI (standardized partial regression coefficient: b=0.70),menopause status (b=0.19,grading variables 1,2,3 were assigned to represent for reproductive group,menopausal transition group and postmenopausal group,respectively),and negatively associated with physical activity energy expenditure (b=-0.17) with model determination coefficient 0.55.Total body fat-free-tissue mass was positively associated with BMI (b =0.61),negatively associated with menopause status (b =-0.14) with model determination coefficient 0.39.The ratio of trunk fat-tissue mass/total body fat-tissue mass (Tr/T) was positively associated with BMI (b=0.32) and menopause status (b= 0.30) with model determination coefficient 0.20.After adjusted the effects of BMI,menopause status and physical activity,age was not significantly related with total fat tissue percentage,body fat-free-tissue mass,nor ratio of (Tr/T).Conclusion: Menopause impacts body composition and body fat distribution independently.During the process of female reproductive aging,body fat tissue mass and centrally distributed fat tissue mass increase,while body fatfree

  9. Body mass index and comorbidity are associated with postoperative renal function after nephrectomy

    Directory of Open Access Journals (Sweden)

    Lael Reinstatler

    2015-08-01

    Full Text Available ABSTRACTPurpose:To explore the association of body mass index (BMI and comorbidity with renal function after nephrectomy.Materials and Methods:We retrospectively analyzed 263 patients submitted to partial or radical nephrectomy from 2000-2013. Variables assessed included BMI, Charlson Comorbidity Index (CCI, race, tobacco use, tumor histology, surgical approach, Fuhrman nuclear grade, and tumor (T classification. Glomerular filtration rate (GFR was estimated using the Cockroft-Gault equation, adjusted for gender. Logistic regression was performed and included all interaction terms.Results:Median follow-up was 19.6 months (IQR 5.2, 53.7. Median preoperative GFR was 86.2mL/min/1.73m2 and median postoperative GFR was 68.4mL/min/1.73m2. BMI (OR 1.07, 95%CI 1.02-1.11, CCI (OR 1.19, 95%CI 1.04-1.37, and radical nephrectomy (OR 3.09, 95%CI 1.51-6.33 were significantly associated with a decline in renal function of ≥25%.Conclusion:BMI and CCI are associated with postoperative decline in renal function after nephrectomy. Additionally, radical nephrectomy is significantly associated with decreasing renal function compared to partial nephrectomy. These findings highlight the importance of assessing patient comorbidity in the decision making process for patients presenting with a renal mass.

  10. Body mass index and comorbidity are associated with postoperative renal function after nephrectomy

    Science.gov (United States)

    Reinstatler, Lael; Klaassen, Zachary; Barrett, Brittani; Terris, Martha K.; Moses, Kelvin A.

    2015-01-01

    ABSTRACT Purpose: To explore the association of body mass index (BMI) and comorbidity with renal function after nephrectomy. Materials and Methods: We retrospectively analyzed 263 patients submitted to partial or radical nephrectomy from 2000-2013. Variables assessed included BMI, Charlson Comorbidity Index (CCI), race, tobacco use, tumor histology, surgical approach, Fuhrman nuclear grade, and tumor (T) classification. Glomerular filtration rate (GFR) was estimated using the Cockroft-Gault equation, adjusted for gender. Logistic regression was performed and included all interaction terms. Results: Median follow-up was 19.6 months (IQR 5.2, 53.7). Median preoperative GFR was 86.2mL/min/1.73m2 and median postoperative GFR was 68.4mL/min/1.73m2. BMI (OR 1.07, 95%CI 1.02-1.11), CCI (OR 1.19, 95%CI 1.04-1.37), and radical nephrectomy (OR 3.09, 95%CI 1.51-6.33) were significantly associated with a decline in renal function of ≥25%. Conclusion: BMI and CCI are associated with postoperative decline in renal function after nephrectomy. Additionally, radical nephrectomy is significantly associated with decreasing renal function compared to partial nephrectomy. These findings highlight the importance of assessing patient comorbidity in the decision making process for patients presenting with a renal mass. PMID:26401862

  11. Sensitivity and specificity of body mass index in determining obesity in children

    Directory of Open Access Journals (Sweden)

    Mehnoosh Samadi

    2013-01-01

    Full Text Available Background: The purpose of this study is to determine sensitivity and specificity of body mass index (BMI based on Center for Disease Control 2000 (CDC percentiles compared to fat mass index (FMI as an indicator of being really obese in children. Obesity was compared based on these two indexes among children under study. Materials and Methods: This cross-sectional study was conducted on 410 primary school girls aged 8-10 years, in the city of Esfahan. Weight and height were measured and BMI was calculated based on weight divided by height squared. Fat mass was measured by body composition analyzer (BCA and FMI was calculated by dividing fat mass by height squared. FMI at or above the 90 th percentile and FMI less than 90 th percentile of reference data were considered as criterion for defining real obesity and normal adiposity, respectively. Receiver operating characteristic (ROC curve was used to assess the performance of BMI in detecting obesity on the basis of FMI. Furthermore, the rate of agreement between two indices was calculated using Kappa coefficient P number. Results: Mean and standard deviation of FMI and BMI in all children were 6 ± 2.1 (kg/m 2 and 19.4 ± 3 (kg/m 2 , respectively. The area under the ROC curve for obesity was 0.75. The cutoff point, sensitivity, and specificity of BMI to classify children as obese compared to FMI were 21.2 kg/m 2 , 79%, and 73%, respectively. In this cutoff point for BMI (21.2 kg/m 2 , the agreement rate between BMI and FMI for determining obesity status was 0.5 (P < 0.001. Conclusion: Our results indicated 79% of children who were recognized as obese based on FMI, were also classified as obese according to BMI. Twenty-seven percent of children, who were non-obese, were identified as obese based on BMI. It appears that FMI compared to BMI is more accurate in determining obesity, but further studies are required.

  12. STUDY OF BODY MASS INDEX (BMI, BODY FAT PERCENT (%BF, AND WAIST TO HIP RATIO (WHR IN MALE PHYSICAL EDUCATION STUDENTS

    Directory of Open Access Journals (Sweden)

    Mehrzad Shabani

    2015-06-01

    Full Text Available The purpose of this study was to investigate body mass index (BMI, body fat percent (%BF and waist-hip ratio (WHR of physical education male students of Shahid Chamran University and comparison with national and international body composition standards. Material : Subjects were seventy five male students physical education male students of Shahid Chamran University of mean age (23.21±2.78, mean height (174±5.71 and mean weight (70.07±9.43 who were selected randomly. Some of body composition indices were determined with body composition analyzer apparatus (bioelectrical impedance apparatus. Results : Descriptive characteristics of subjects include: body fat percent (19.37±3.62, waist-hip ratio (0.80±0.037 and body mass index (23.18±2.68. To categorize and regulate data we used descriptive analyzes, to calculate Pearson correlation coefficient we used presumption analyzes and to compare the obtained data with national standards we used T-test statistical procedure. There are significant correlations between body mass index and waist-hip ratio (P=0.709, r=0.001, between body mass index and body fat percent (P=0.783, r=0.001 and between body fat percent and waist-hip ratio (P=0.809, r=0.001. There are significant differences between mean body mass index and its national standard (P=0.001, between mean waist-hip ratio and its national standard (P=0.001 and between mean body fat percentage and its national standard (P=0.001. Conclusions : Results revealed that according to national standards of body fat percentage and body mass index of subjects, they were assigned to more than intermediate limitation; it may be due to abnormal nutrition, unregulated exercise or physical activity and heredity.

  13. Obesity Index That Better Predict Metabolic Syndrome: Body Mass Index, Waist Circumference, Waist Hip Ratio, or Waist Height Ratio

    Directory of Open Access Journals (Sweden)

    Abdulbari Bener

    2013-01-01

    Full Text Available Aim. The aim was to compare body mass index (BMI, waist circumference (WC, waist hip ratio (WHR, and waist height ratio (WHtR to identify the best predictor of metabolic syndrome (MetS among Qatari adult population. Methods. A cross-sectional survey from April 2011 to December 2012. Data was collected from 1552 participants followed by blood sampling. MetS was defined according to Third Adult Treatment Panel (ATPIII and International Diabetes Federation (IDF. Receiver operating characteristics (ROC curve analysis was performed. Results. Among men, WC followed by WHR and WHtR yielded the highest area under the curve (AUC (0.78; 95% CI 0.74–0.82 and 0.75; 95% CI 0.71–0.79, resp.. Among women, WC followed by WHtR yielded the highest AUC (0.81; 95% CI 0.78–0.85 & 0.79; 95% CI 0.76–0.83, resp.. Among men, WC at a cut-off 99.5 cm resulted in the highest Youden index with sensitivity 81.6% and 63.9% specificity. Among women, WC at a cut-off 91 cm resulted in the highest Youden index with the corresponding sensitivity and specificity of 86.5% and 64.7%, respectively. BMI had the lowest sensitivity and specificity in both genders. Conclusion. WC at cut-off 99.5 cm in men and 91 cm in women was the best predictor of MetS in Qatar.

  14. Multivariate Modeling of Body Mass Index, Pulse Pressure, Systolic and Diastolic Blood Pressure in Chinese Twins

    DEFF Research Database (Denmark)

    Wu, Yili; Zhang, Dongfeng; Pang, Zengchang;

    2015-01-01

    Systolic and diastolic blood pressure, pulse pressure (PP), and body mass index (BMI) are heritable traits in human metabolic health but their common genetic and environmental backgrounds are not well investigated. The aim of this article was to explore the phenotypic and genetic associations among...... PP, systolic blood pressure (SBP), diastolic blood pressure (DBP), and BMI. The studied sample contained 615 twin pairs (17-84 years) collected in the Qingdao municipality. Univariate and multivariate structural equation models were fitted for assessing the genetic and environmental contributions...... multivariate model estimated (1) high genetic correlations for DBP with SBP (0.87), PP with SBP (0.75); (2) low-moderate genetic correlations between PP and DBP (0.32), each BP component and BMI (0.24-0.37); (3) moderate unique environmental correlation for PP with SBP (0.68) and SBP with DBP (0.63); (4) there...

  15. Behavioral risk factors and Latino body mass index: a cross-sectional study in Missouri.

    Science.gov (United States)

    Sandoval, J S Onésimo; Harris, Jenine K; Jennings, Joel P; Hinyard, Leslie; Banks, Gina

    2012-11-01

    Obesity is the fastest-growing cause of disease and death in the United States, with minority populations suffering some of the most severe consequences. Latinos constitute 16% of the U.S. population as of 2010, and have a higher proportion of the population that is overweight and obese compared with their non-Hispanic Black and White counterparts. Although there are over 15.8 million Latino residents living in non-gateway states (outside California, Texas, Arizona, Illinois, and New York), there is little research exploring obesity factors among Latinos outside of gateway states. The aim of this paper was to study socio-economic characteristics, mental health, insurance status, physical activity, and fruit and vegetable consumption, in relation to body mass index (BMI) among Latinos living in a non-gateway state. The results showed that income, employment status, marital status, insurance status, physical activity, fruit and vegetable consumption, and mental health were all associated with BMI.

  16. Body mass index and abdominal circumference among teens in the countryside of Piauí, Brazil

    Directory of Open Access Journals (Sweden)

    Ionara Holanda de Moura

    2012-06-01

    Full Text Available Anthropometric techniques, establishing the diagnosis of overweight / obesity as body mass index (BMI and waist circumference (WC, are increasingly important. With this research we aimed to learn about BMI and relate it to the WC of adolescent students in two institutions in Piaui. This descriptive cross-sectional study of quantitative prevalence. It carried out in two public schools in Picos - PI with 145 adolescents aged between 12 and 18 years for both sexes. Data collection was performed through a form from the months of August to December 2010. The prevalence of overweight was 3.7%. Overweight was significantly associated with increased WC (<0.0001. These results emphasize the relevance of conducting prevention and control of excess weight so that the health of adolescents should be maintained.

  17. Trends in adult body-mass index in 200 countries from 1975 to 2014

    DEFF Research Database (Denmark)

    Damsgaard, Camilla Trab; Michaelsen, Kim F.; Molbo, Drude;

    2016-01-01

    BACKGROUND: Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults...... in all countries. METHODS: We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI...... probability of meeting the target of halting by 2025 the rise in obesity at its 2010 levels, if post-2000 trends continue. FINDINGS: We used 1698 population-based data sources, with more than 19·2 million adult participants (9·9 million men and 9·3 million women) in 186 of 200 countries for which estimates...

  18. Plasma surfactant protein D levels and the relation to body mass index in a chinese population

    DEFF Research Database (Denmark)

    Zhao, X M; Wu, Y P; Wei, R;

    2007-01-01

    in a Chinese population from the Tai An region comprising 268 individuals. We found that (i) plasma SP-D in the Chinese population was distributed with a median value of 380.2 ng/ml (324.9; 418.7) and a range from 79.4 to 3965.3 ng/ml, (ii) significantly higher plasma SP-D in men than in women......, and no significant effect of age, and (iii) a significant inverse association between serum SP-D and body mass index (BMI) (P = 0.012). The data indicate that racial differences in SP-D expression exist as the median plasma SP-D in the Chinese population was approximately two times lower than the median serum SP...

  19. The 2014 Danish references from birth to 20 years for height, weight and body mass index

    DEFF Research Database (Denmark)

    Tinggaard, Jeanette; Aksglaede, Lise; Sørensen, Kaspar;

    2014-01-01

    AIM: To construct new Danish growth charts for 0- to 20-year-olds and to compare them with Danish references from 1982 and with World Health Organization (WHO) standards for children aged 0-5 years from 2006, by applying similar inclusion and exclusion criteria. METHODS: Anthropometric data from...... three contemporary Danish population-based studies were combined. References for height were based on healthy Caucasian children born at term. A total of 12,671 height measurements (8055 in boys and 4616 in girls) were included. Reference charts were developed using the generalised additive models...... in body mass index (BMI) above median levels was found. Reference curves for height were superimposable with standard curves based on the selective WHO criteria. Danish children were longer/taller and heavier and they had larger head circumferences than those reported in the recent multiethnic WHO...

  20. Waist circumference and body mass index as predictors of health care costs

    DEFF Research Database (Denmark)

    Højgaard, Betina; Gyrd-Hansen, Dorte; Olsen, Kim Rose;

    2008-01-01

    BACKGROUND: In the present study we analyze the relationship between body mass index (BMI) and waist circumference (WC) and future health care costs. On the basis of the relation between these anthropometric measures and mortality, we hypothesized that for all levels of BMI increased WC implies....../PRINCIPAL FINDINGS: Data were obtained from the Danish prospective cohort study Diet, Cancer and Health. The population includes 15,334 men and 16,506 women 50 to 64 years old recruited in 1996 to 1997. The relationship between future health care costs and BMI and WC in combination was analyzed by use of categorized...... and continuous analyses. The analysis confirms Hypothesis 1, reflecting that an increased level of abdominal fat for a given BMI gives higher health care costs. Hypothesis 2, that BMI had a protective effect for a given WC, was only confirmed in the continuous analysis and for a subgroup of women (BMI

  1. Association of Body Mass Index with Asthma Severity and Pulmonary Function among Asthmatic Children

    Directory of Open Access Journals (Sweden)

    Rasuol Nasiri Kalmarzi

    2016-09-01

    Full Text Available Background Asthma is a chronic inflammatory disease in respiratory system and obesity is another inflammatory disease which incidence rate is increasing. Although, many studies have been conducted on severity of asthma and its relationship with obesity, but different results have been obtained. This study aimed to determine a relationship between asthma severity, Body Mass Index (BMI and pulmonary function in Kurdistan province, Iran. Materials and Methods: In this cross sectional study 90 asthmatic patients referred to referral hospital in Kurdistan, North West of Iran, were selected by simple random method. BMI was calculated by dividing weight by height.Pulmonary Function Test (PFT and bronchial-stimulation-test were used for confirmation and investigation of asthma severity. Data were analyzed using SPSS-15 and Chi-square and spearman correlation coefficient tests. Results: Relationship between BMI and severity of asthma (mild, medium and severe was evaluated, there was a relationship and positive relationship between them (P

  2. Childhood body mass index in relation to future risk of oesophageal adenocarcinoma

    DEFF Research Database (Denmark)

    Cook, M B; Freedman, N D; Gamborg, M;

    2015-01-01

    oesophageal adenocarcinoma in a cohort from the Copenhagen School Health Records Register. Analyses included 255 053 children born during 1930-1971. Danish Cancer Registry linkage provided outcomes. We calculated hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox proportional hazards regression......BACKGROUND: Middle-aged obese adults are at substantially elevated risk of oesophageal adenocarcinoma. It is unclear whether this risk originates earlier in life. METHODS: We assessed associations between childhood body mass index (BMI) and height-measured annually between ages 7 and 13-with adult....... RESULTS: During 5.4 million person-years of follow-up, 254 (216 males) incident oesophageal adenocarcinomas occurred. At each examined age, cancer risk increased linearly per unit BMI z-score, although associations were only statistically significant for ages 9-13. The HR for the age of 13 years was 1...

  3. The relation between drinking pattern and body mass index and waist and hip circumference

    DEFF Research Database (Denmark)

    Tolstrup, J S; Heitmann, B. L.; Tjønneland, A M;

    2005-01-01

    and 24 552 women aged 50-65 y from the Diet, Cancer and Health Study, Denmark, 1993-1997 participated in the study. MEASUREMENTS: Drinking frequency, total alcohol intake, body mass index (BMI), and waist and hip circumference. RESULTS: Among men, total alcohol intake was positively associated with high......OBJECTIVES: To study the association between alcohol drinking pattern and obesity. DESIGN: Cross-sectional population study with assessment of quantity and frequency of alcohol intake, waist and hip circumference, height, weight, and lifestyle factors including diet. SUBJECTS: In all, 25 325 men...... BMI (>/=30 kg/m(2)), large waist circumference (>/=102 cm) and inversely associated with small hip circumference (associated with high BMI, large waist (>/=88 cm), and small hips only for the highest intake (28+ drinks/week). The most frequent drinkers had...

  4. Comparison of body mass index in children of two different regions of welfare.

    Directory of Open Access Journals (Sweden)

    Abbas Shapouri Moghadam

    2015-02-01

    Full Text Available Socioeconomic basis of children obesity is of high importance for preventive policies. This study aimed to compare the prevalence of obesity among children living in two different levels of welfare regions in Mashhad northeast of Iran. A total of 625 primary school girls and boys aged 78-127 months were randomly selected, and values of their body mass index (BMI were measured. The prevalence of both overweight and obesity were higher among students of enriched area in comparison with that of resource restricted (P<0.05.The prevalence of overweight concerns in urban and rural areas. These results highlight the relation between socio-economic status and prevalence of obesity among children.

  5. Does Body Mass Index Influence Behavioral Regulations, Dispositional Flow and Social Physique Anxiety in Exercise Setting?

    Directory of Open Access Journals (Sweden)

    Gözde Ersöz, Ersin Altiparmak, F. Hülya Aşçı

    2016-06-01

    Full Text Available The purpose of this study was to examine differences in behavioral regulations, dispositional flow, social physique anxiety of exercisers in terms of body mass index (BMI. 782 university students participated in this study. Dispositional Flow State Scale-2, Behavioral Regulations in Exercise Questionnaire-2, Social Physique Anxiety Scale and Physical Activity Stages of Change Questionnaire were administered to participants. After controlling for gender, analysis indicated significant differences in behavioral regulations, dispositional flow and social physique anxiety of exercise participants with regards to BMI. In summary, the findings demonstrate that normal weighted participants exercise for internal reasons while underweighted participants are amotivated for exercise participation. Additionally, participants who are underweight had higher dispositional flow and lower social physique anxiety scores than other BMI classification.

  6. Is There an Association between Socioeconomic Status and Body Mass Index among Adolescents in Mauritius?

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    Waqia Begum Fokeena

    2012-01-01

    Full Text Available There are no documented studies on socioeconomic status (SES and body mass index (BMI among Mauritian adolescents. This study aimed to determine the relationships between SES and BMI among adolescents with focus on diet quality and physical activity (PA as mediating factors. Mauritian school adolescents (=200; 96 males, 104 females were recruited using multistage sampling. Participants completed a self-reported questionnaire. Height and weight were measured and used to calculate BMI (categorised into underweight, healthy-weight, overweight, obese. Chi-square test, Pearson correlation, and Independent samples -test were used for statistical analysis. A negative association was found between SES and BMI (2=8.15%, <0.05. Diet quality, time spent in PA at school (=0.000, but not total PA (=0.562, were significantly associated with high SES. Poor diet quality and less time spent in PA at school could explain BMI discrepancies between SES groups.

  7. Effects of Prepregnancy Body Mass Index and Gestational Weight Gain on Pregnancy Outcomes.

    Science.gov (United States)

    Zhang, Cui Hong; Liu, Xiang Yu; Zhan, Yi Wei; Zhang, Long; Huang, Yan Jie; Zhou, Hong

    2015-09-01

    To investigate the single and joint effects of prepregnancy body mass index (BMI) and gestational weight gain (GWG) on pregnancy outcomes, electronic medical records of 14,196 women who delivered singleton live infant at a maternal and child health hospital in Beijing, China, in 2012 were reviewed. Logistic regression was used to assess the associations, adjusting for maternal age, height, education, parity, and offspring sex. Women of high prepregnancy BMI or excessive GWG had higher risks of gestational diabetes mellitus, hypertensive disorders in pregnancy, postpartum hemorrhage, caesarean delivery, macrosomia, and large for gestational age infant, while women of inadequate GWG had higher risks of preterm delivery, low birth weight, and small for gestational age infant. Findings suggest that antenatal care providers should help pregnant women control their GWG to normal. PMID:26058899

  8. Dimensions of socioeconomic position related to body mass index and obesity among Danish women and men

    DEFF Research Database (Denmark)

    Groth, Margit Velsing; Fagt, Sisse; Stockmarr, Anders;

    2009-01-01

    . Associations between dimensions of socioeconomic position and weight status were examined by use of linear multiple regression analysis and logistic regression analysis. Results: BMI and prevalence of obesity were significantly associated with education for both men and women. Odds ratios (ORs) for obesity......Aims: The aim of this study was to examine the association between different dimensions of socioeconomic position, body mass index (BMI) and obesity in the Danish population. Possible interactions between the different dimensions and gender differences were also investigated. Methods...... were 2.9 (95% confidence interval (CI) 1.4–5.9) and 6.5 (95% CI 2.3–18.7) for those with basic school as compared with those with long higher education for men and women, respectively. Women outside the labour market had higher BMIs and a greater prevalence of obesity (OR 2.5 (95% CI 1.6–3.9)) after...

  9. Pregnancy outcome and prepregnancy body mass index in 2459 glucose-tolerant Danish women

    DEFF Research Database (Denmark)

    Jensen, Dorte Møller; Damm, Peter; Sørensen, Bente;

    2003-01-01

    OBJECTIVE: This study was undertaken to investigate the relationship between pregnancy outcome and prepregnancy overweight or obesity in women with a normal glucose tolerance test. STUDY DESIGN: A historical cohort study of 2459 pregnant women systematically examined for gestational diabetes...... was performed. Information of oral glucose tolerance test results and clinical outcome were collected from medical records. RESULTS: The risk of hypertensive complications, cesarean section, induction of labor and macrosomia was significantly increased in both overweight women (body mass index [BMI] 25.......0-29.9 kg/m(2)) and obese women (BMI >or= 30.0 kg/m(2)) compared with women who were of normal weight (BMI 18.5-24.9 kg/m(2)). The frequencies of shoulder dystocia, preterm delivery, and infant morbidity other than macrosomia were not significantly associated with maternal BMI. CONCLUSION: Prepregnancy...

  10. Body mass index estimation in a school-entry aged cohort in Malta.

    Science.gov (United States)

    Grech, Victor; Farrugia Sant'Angelo, Victoria

    2009-01-01

    This study measured body mass index (BMI) in a national cohort of school-entry children in Malta (04/2007, n=3461). By International Obesity Task Force criteria, over a quarter are overweight/obese. CDC criteria classify one-third as overweight/obese. BMIs were higher in the less affluent south of the island, especially in the Grand Harbour area. Analysis by school showed differences in boys only with lowest BMIs in private schools, followed by subsidized church schools and by free State schools. These differences are attributed to a lower level of education with regard to the consequences of obesity in the less affluent southern part of the island, along with lifestyles adopted in this area. We estimate that obesity will eventually cost Malta 70,000,000 euros/annum and therefore hope that this study will serve as a catalyst for further population-based BMI estimations and for an intensive effort to curtail this chronic disease.

  11. Increased Body Mass Index, Elevated C-reactive Protein, and Short Telomere Length

    DEFF Research Database (Denmark)

    Rode, Line; Nordestgaard, Børge G; Weischer, Maren;

    2014-01-01

    CONTEXT: Obesity is associated with short telomere length. The cause of this association is unknown. OBJECTIVE: We hypothesized that genetically increased body mass index (BMI) is associated with telomere length shortening and that low-grade inflammation might contribute through elevated C......-reactive protein. SETTING AND DESIGN: We studied 45,069 individuals from the Copenhagen General Population Study with measurements of leukocyte telomere length, BMI, and C-reactive protein in a Mendelian randomization study. Using the three obesity-associated polymorphisms FTO rs9939609, MC4R rs17782313, and TMEM......18 rs6548238, and the CRP promoter polymorphism rs3091244 in instrumental variable analyses, we estimated the associations between genetically increased BMI and telomere length and between genetically increased C-reactive protein and telomere length. RESULTS: In multivariable-adjusted observational...

  12. Comparision between body mass index and abdominal obesity for the screening for diabetes in healthy individuals

    Directory of Open Access Journals (Sweden)

    S Gopinath

    2012-01-01

    Full Text Available Aim: To study about the usefulness of Waist-Height Ratio as a clinical marker in patients with Metabolic Syndrome. Materials and Methods: A clinic-based study of patients attending a secondary level Diabetic Clinic and correlation of their Anthropometry data like waist circumference, height to other parameters namely body mass index (BMI, Waist-Hip Ratio, Blood pressure, Glycemic Control, Lipid Profile, and Duration of Diabetes. Inclusion Criteria: Randomly selected 10 000 patients attending a secondary level diabetic clinic. Exclusion Criteria: Type 1 DM, Gestational Diabetes. Result: Waist-Height Ratio is a better parameter than Waist-Hip Ratio and it is significant in applying for people with different Stature with Normal BMI. Conclusion: Waist-Height Ratio is a better and easier tool when compared with BMI or Waist-Hip Ratio and can be used for assessment of Cardio-metabolic parameter for public health.

  13. Association of Body Mass Index with Chromosome Damage Levels and Lung Cancer Risk among Males

    Science.gov (United States)

    Li, Xiaoliang; Bai, Yansen; Wang, Suhan; Nyamathira, Samuel Mwangi; Zhang, Xiao; Zhang, Wangzhen; Wang, Tian; Deng, Qifei; He, Meian; Zhang, Xiaomin; Wu, Tangchun; Guo, Huan

    2015-01-01

    Epidemiological studies have shown an etiological link between body mass index (BMI) and cancer risk, but evidence supporting these observations is limited. This study aimed to investigate potential associations of BMI with chromosome damage levels and lung cancer risk. First, we recruited 1333 male workers from a coke-oven plant to examine their chromosome damage levels; and then, a cohort study of 12 052 males was used to investigate the association of BMI with lung cancer incidence. We further carried out a meta-analysis for BMI and male lung cancer risk based on cohort studies. We found that men workers with excess body weight (BMI ≥ 25 kg/m2) had lower levels of MN frequencies than men with normal-weight (BMI: 18.5–24.9). Our cohort study indicated that, the relative risk (RR) for men with BMI ≥ 25 to develop lung cancer was 35% lower than RR for normal-weight men. Further meta-analysis showed that, compared to normal-weight men, men with BMI ≥ 25 had decreased risk of lung cancer among both the East-Asians and others populations. These results indicate that men with excess body weight had significant decreased chromosome damage levels and lower risk of lung cancer than those with normal-weight. However, further biological researches were needed to validate these associations. PMID:25820198

  14. Study of blood pressure and blood sugar levels in adolescence and comparison with body mass index

    Directory of Open Access Journals (Sweden)

    Ashwin Borade

    2011-01-01

    Full Text Available Background: Worldwide prevalence of overweight and obesity is increasing and its consequences prompted the WHO to designate obesity as a global epidemic in 2002. Being overweight is a risk factor for significant illness, especially diabetes and hypertension in adult life. Objectives : To study the blood pressure and blood sugar levels and lifestyle parameters in adolescence and comparison with body mass index. Materials and Methods: In a prospective case control study, out of the 1000 screened, a total of 200 adolescents were considered out of which 100 were with high body mass index (BMI and the other 100 were with normal BMI. Height, weight, BMI, waist hip ratio (WHR, blood pressure (BP, BSL, and associated risk factors like physical activity, fast food consumption, and computer/television watching were measured and screened. Results and Observations: 109 (54.5% males and 91 (45.5% females were included. Maximum number [90 (45%] of adolescents screened were in the age group of 17-19 years, while 54 (27% and 56 (28% adolescents were in the age group of 10-13 years and 14-16 years, respectively. According to CDC charts 2000, prevalence of overweight was 24% which was double when compared to WHO charts 2007. There was significant difference in prevalence of obesity; according to CDC chart it was 26%, whereas according to WHO chart it was 39%. The difference in blood pressures between cases and controls as per both CDC and WHO charts was found to be statistically significant (P 0.05 with BMI. Conclusion: The adolescents seem to have become heavier owing to environmental influences on growth patterns. So, a consideration should be given to shift the cut-offs for overweight and obesity to higher BMI percentiles if recent growth charts are to be followed. Adolescents with a BMI above the 95 >th percentile (obese are most likely to have obesity-related health risks.

  15. Bone mineral density, body mass index and cigarette smoking among Iranian women: implications for prevention

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    Nguyen Nguyen D

    2005-06-01

    Full Text Available Abstract Background While risk factors of osteoporosis in Western populations have been extensively documented, such a profile has not been well studied in Caucasians of non-European origin. This study was designed to estimate the modifiable distribution and determinants of bone mineral density (BMD among Iranian women in Australia. Methods Ninety women aged 35 years and older completed a questionnaire on socio-demographic and lifestyle factors. BMD was measured at the lumbar spine (LS and femoral neck (FN using DXA (GE Lunar, WI, USA, and was expressed in g/cm2 as well as T-score. Results In multiple regression analysis, advancing age, lower body mass index (BMI, and smoking were independently associated with LS and FN BMD, with the 3 factors collectively accounting for 30% and 38% variance of LS and FN BMD, respectively. LS and FN BMD in smokers was 8% lower than that in non-smokers. Further analysis of interaction between BMI and smoking revealed that the effect of smoking was only observed in the obese group (p = 0.029 for LSBMD and p = 0.007 for FNBMD, but not in the overweight and normal groups. Using T-scores from two bone sites the prevalence of osteoporosis (T-scores ≤ -2.5 was 3.8% and 26.3% in pre-and post-menopausal women, respectively. Among current smokers, the prevalence was higher (31.3% than that among ex-smokers (28.6% and non-smokers (7.5%. Conclusion These data, for the first time, indicate that apart from advancing age and lower body mass index, cigarette smoking is an important modifiable determinant of bone mineral density in these Caucasians of non-European origin.

  16. Effect of body mass index on in vitro fertilization outcomes in women

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    Anjali Sathya

    2010-01-01

    Full Text Available Background :Obesity has become a major health problem across the world. In women, it is known to cause anovulation, subfecundity, increased risk of fetal anomalies and miscarriage rates. However, in women going for assisted reproduction the effects of obesity on egg quality, embryo quality, clinical pregnancy, live birth rates are controversial. Objectives :To assess the effect of women′s body mass index (BMI on the reproductive outcome of non donor In vitro fertilization (IVF/Intracytoplasmic sperm injection (ICSI. The effects of BMI on their gonadotrophin levels (day 2 LH, FSH, gonadotrophin dose required for ovarian stimulation, endometrial thickness and oocyte/embryo quality were looked at, after correcting for age and poor ovarian reserve. Materials and Methods : Retrospective study of medical records of 308 women undergoing non donor IVF cycles in a University affiliated teaching hospital. They were classified into three groups: normal weight (BMI25 30 kg/m 2 . All women underwent controlled ovarian hyper stimulation using long agonist protocol. Results : There were 88 (28.6% in the normal weight group, 147 (47.7% in the overweight and 73 (23.7% in the obese group. All three groups were comparable with respect to age, duration of infertility, female and male causes of infertility. The three groups were similar with respect to day 2 LH/FSH levels, endometrial thickness and gonadotrophin requirements, oocyte quality, fertilization, cleavage rates, number of good quality embryos and clinical pregnancy rates. Conclusion :Increase in body mass index in women does not appear to have an adverse effect on IVF outcome. However, preconceptual counselling for obese women is a must as weight reduction helps in reducing pregnancy-related complications.

  17. Metabolomic Profiles of Body Mass Index in the Framingham Heart Study Reveal Distinct Cardiometabolic Phenotypes.

    Directory of Open Access Journals (Sweden)

    Jennifer E Ho

    Full Text Available Although obesity and cardiometabolic traits commonly overlap, underlying pathways remain incompletely defined. The association of metabolite profiles across multiple cardiometabolic traits may lend insights into the interaction of obesity and metabolic health. We sought to investigate metabolic signatures of obesity and related cardiometabolic traits in the community using broad-based metabolomic profiling.We evaluated the association of 217 assayed metabolites and cross-sectional as well as longitudinal changes in cardiometabolic traits among 2,383 Framingham Offspring cohort participants. Body mass index (BMI was associated with 69 of 217 metabolites (P<0.00023 for all, including aromatic (tyrosine, phenylalanine and branched chain amino acids (valine, isoleucine, leucine. Additional metabolic pathways associated with BMI included the citric acid cycle (isocitrate, alpha-ketoglutarate, aconitate, the tryptophan pathway (kynurenine, kynurenic acid, and the urea cycle. There was considerable overlap in metabolite profiles between BMI, abdominal adiposity, insulin resistance [IR] and dyslipidemia, modest overlap of metabolite profiles between BMI and hyperglycemia, and little overlap with fasting glucose or elevated blood pressure. Metabolite profiles were associated with longitudinal changes in fasting glucose, but the involved metabolites (ornithine, 5-HIAA, aminoadipic acid, isoleucine, cotinine were distinct from those associated with baseline glucose or other traits. Obesity status appeared to "modify" the association of 9 metabolites with IR. For example, bile acid metabolites were strongly associated with IR among obese but not lean individuals, whereas isoleucine had a stronger association with IR in lean individuals.In this large-scale metabolite profiling study, body mass index was associated with a broad range of metabolic alterations. Metabolite profiling highlighted considerable overlap with abdominal adiposity, insulin resistance

  18. Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China

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    Wenwang Rao

    2016-05-01

    Full Text Available Background: There is evidence that body mass index (BMI is closely related to hyperlipidemia. This study aimed to estimate the cross-sectional relationship between Body Mass Index (BMI and hyperlipidemia. Methods: We recruited 21,435 subjects (aged 18–79 years and residing in Jilin province, China using the multistage stratified cluster random sampling method. Subjects were interviewed with a standardized questionnaire and physically examined. We analyzed the cross-sectional relationship between BMI and hyperlipidemia. Results: The prevalence of hyperlipidemia was 51.09% (52.04% in male and 50.21% in female. The prevalence of overweight and obesity was 31.89% and 6.23%, respectively. Our study showed that underweight (OR = 0.499, 95% CI: 0.426–0.585, overweight (OR = 2.587, 95% CI: 2.428–2.756, and obesity (OR = 3.614, 95% CI: 3.183–4.104 were significantly associated with hyperlipidemia (p < 0.001 in the age- and sex-adjusted logistic regression. After further adjusting for age, gender, region, district, ethnicity, education, marital status, main occupation, monthly family income per capita, smoking, drinking, exercise, central obesity, waist and hip, underweight (OR = 0.729, 95% CI: 0.616–0.864, overweight (OR = 1.651, 95% CI: 1.520–1.793, and obesity (OR = 1.714, 95% CI: 1.457–2.017 were independently associated with hyperlipidemia (p < 0.001. The restricted cubic spline model illustrated a nonlinear dose-response relationship between levels of BMI and the prevalence of hyperlipidemia (Pnonlinearity < 0.001. Conclusion: Our study demonstrated that the continuous variance of BMI was significantly associated with the prevalence of hyperlipidemia.

  19. ASSOCIATION BETWEEN MATERNAL BODY MASS INDEX AND WEIGHT GAIN WITH LOW BIRTH WEIGHT IN EASTERN THAILAND.

    Science.gov (United States)

    Sananpanichkul, Panya; Rujirabanjerd, Sinitdhorn

    2015-11-01

    We conducted a retrospective study to determine the association between maternal body mass index and pregnancy weight gain with low birth weight newborns (LBWN) at Phrapokklao Hospital in eastern Thailand. We evaluated the files of 2,012 women who delivered at the hospital. Data obtained from the charts were parity, maternal age, body mass index (BMI), prepregnancy weight, weight gained during pregnancy, gestational age, hematocrit level, referral status, place of residence, fetal presentation, completion of antenatal care visits and maternal HIV infection. Sixty-five point two percent of subjects were aged 20-34 years old. Fifty-seven percent of subjects had a normal BMI and 13.2% were anemic. Thirty- seven point five percent, 32.9% and 29.6% gained too little, the correct amount and too much weight during pregnancy, respectively. Primiparity, too little weight gain and gestational age less than 37 weeks at delivery were all significantly associated with LBWN. Preterm babies were 25 times more likely to have a low birth weight than term infants (adjusted OR = 24.995; 95% CI: 16.824-37.133, p < 0.001). When maternal weight gain of any BMI group was inadequate, the subject had a 3.4 times greater risk (adjusted OR = 3.357; 95% CI: 22.114-5.332, p < 0.001) of having a LBWN. Primiparous women had a 1.7 times (adjusted OR=1.720; 95% CI: 1.182-2.503, p-0.005) greater risk of having a LBWN. The results from this study may be useful to plan maternal health programs for eastern Thailand. PMID:26867367

  20. The Relationship of Age, Body Mass Index, and Individual Habit to Bone Mineral Density in Adults

    International Nuclear Information System (INIS)

    We studied the change of bone mineral density (BMD) by age, body mass index (BMI), coffee, carbonated drink, alcohol, smoking, and exercise in adults who checked in health center. The number of study subjects was total 268 persons (women of 136 persons and men of 132 persons). The BMD was determined in lumbar spine and femoral neck by dual energy x-ray absorptiometry. And we got some results as below : 1. In women, mean body height was , mean body weight was 155.8±6.0 cm, and mean BMI was 56.8±7.9 kg. In men, mean body height was 169.1±6.0 cm, mean body weight was 69.0±9.5 kg, and mean BMI was 24.1±2.7 kg/m2. 2. BMD decreased as age increased, and the age was the most determinant factor for BMD (p<0.01). Women's BMD decreased rapidly in the groups aged ≥50s, while men's BMD decreased gradually with age. In addition, for both sex, lower BMD was measured in lumbar spine than in femoral neck. 3. BMD increased in high BMI, and BMD with BMI increased distinctly in the group aged 50s. But their relationship was not significant. 4. In view of the distribution by three BMD categories, women's BMD was mostly normal in the groups aged ≥40s but the rate of osteopenia and osteoporosis was similar in the group aged 50s, and the rate of osteoporosis was the highest in the groups aged 60s and 70s. Men's BMD was mostly normal through all groups except the group aged 70s. 5. Coffee and carbonated drink were not influenced in BMD. But alcohol-drinking group showed higher BMD than non-drinking group, and alcohol was statistically significant determinant for BMD (p<0.05). Smoking and exercise were not statistically significant determinant of BMD.

  1. Incongruence in body image and body mass index: A surrogate risk marker in Black women for type 2 diabetes mellitus

    Directory of Open Access Journals (Sweden)

    Rynal Devanathan

    2013-01-01

    Full Text Available Background: Excess weight contributes to the development and progression of Type 2 diabetes mellitus (T2DM. Distorted body image amongst urban Black women and the perception that thinness is linked with HIV, may however be compounding the problem, particularly in areas with a high HIV burden.Objectives: This study aimed to compare the perception of body image in urban Black women with and without T2DM.Methods: A cross-sectional comparative study was conducted on 328 Black women systematically sampled into two groups (with and without T2DM. Body mass index (BMI (weight [kg]/height[m2] was determined and the adapted Stunkard Body Image Silhouettes for Black women was used to determine perceived body image (PBI.Results: Seventy-two per cent had T2DM and in this group 89% were obese, with a mean BMI of 39.5 kg/m2 (s.d. ± 8.5. In the non-diabetes group (NDG 44% were obese, with a mean BMIof 31.3 kg/m2 (s.d. ± 9.0 Black women underestimated their body image across all weight categories (p < 0.05. Both groups (99% of the study group also perceived thinness as being associated with HIV.Conclusions: This study identified an incongruence between PBI and actual BMI amongst urban Black women. This, combined with their belief that thinness is associated with HIV, places those with T2DM at risk of secondary complications arising from diabetes mellitus, and those without diabetes mellitus at a higher risk of developing T2DM. A discrepancy between PBI and BMI may therefore serve as a risk marker to alert clinicians to use a more ethno-cultural specific approach in engaging with urban Black women regarding weight loss strategies in the future.

  2. Welding fumes exposure, body mass index and duration of smoking decrease physical fi tness among welders

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    Rudy Wahyu Perdana

    2012-09-01

    among welders in the muffl er factory at outskirt of Jakarta in 2012. Several characteristic demography, occupational history,and habits were obtained through interview. Welding fumes exposure obtained by semi quantitative method. Physical fi tness was obtained by physical examination using Queen’s College Step Test.Results: The total of subjects in this study were 110 people, 19-55 years of age, total duration of work between 1-16 years. We found that there were no signifi cant association between the age and physical activity of respondents with the level of welder physical fi tness. We noted negative correlation between the total fume exposure, body mass index, duration of smoking habits and the level of welder physical fi tness. The correlation were: the total fume exposure [regression coeffi cient (r= -0,07; 95% confi dence interval (CI= -0,10;-0,04]; body mass index (r= -0,38; 95% CI= -0,64;-0,09; and duration of smoking habits (r= -0,16; 95% CI= -0,28;-0,04.Conclusion: Increase in total welding fumes exposure, body mass index, and duration of smoking habit will be decrease welder physical fi tness. (Health Science Indones 2012;1:37-40 

  3. The INSIG2 rs7566605 polymorphism is not associated with body mass index and breast cancer risk

    NARCIS (Netherlands)

    Campa, Daniele; Huesing, Anika; Mckay, James D.; Sinilnikova, Olga; Vogel, Ulla; Tjonneland, Anne; Overvad, Kim; Stegger, Jakob; Clavel-Chapelon, Francoise; Chabbert-Buffet, Nathalie; Fagherazzi, Guy; Trichopoulou, Antonia; Zylis, Dimosthenis; Oustoglou, Erifili; Rohrmann, Sabine; Teucher, Birgit; Fisher, Eva; Boeing, Heiner; Masala, Giovanna; Krogh, Vittorio; Sacerdote, Carlotta; Panico, Salvatore; Tumino, Rosario; Onland-Moret, N. Charlotte; van Gils, Carla H.; Bueno-de-Mesquita, H. Bas; Lund, Eiliv; Dolores Chirlaque, Maria; Sala, Nuria; Ramon Quiros, Jose; Ardanaz, Eva; Amiano, Pilar; Molina-Montes, Esther; Hallmans, Goran; Lenner, Per; Travis, Ruth C.; Key, Timothy J.; Wareham, Nick; Khaw, Kay-Tee; Rinaldi, Sabina; Slimani, Nadia; Chajes, Veronique; Siddiq, Afshan; Riboli, Elio; Kaaks, Rudolf; Canzian, Federico

    2010-01-01

    Background: The single nucleotide polymorphism rs7566605, located in the promoter of the INSIG2 gene, has been the subject of a strong scientific effort aimed to elucidate its possible association with body mass index (BMI). The first report showing that rs7566605 could be associated with body fatne

  4. COMPARISION OF BODY MASS INDEX (BMI WITH HIGH DENSITY LIPOPROTEIN (HDL LEVELS IN OBESE PEOPLE

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    Anitha

    2015-11-01

    Full Text Available NTRODUCTION: Cardiovascular disease is a major cause of morbidity and mortality in industrialized nations. Serum lipid concentrations are related to cardiovascular disease risk and one notable association is a statistically significant inverse correlation between HDL-cholesterol concentrations and the probability of developing coronary artery disease. A major related cardiovascular disease risk factor is obesity. Excess body weight is closely linked to low serum HDL-cholesterol concentrations. The general assumption now is that excessive body weight is associated with enlarged adipose tissue deposits, visceral adipose tissue in particular, which in turn are accompanied by elevated serum triacylglycerol concentrations. A well-studied inverse association exists between serum triacylglycerol and HDL-cholesterol concentrations and this may explain the observed low serum HDL-cholesterol concentrations in obesity. This study is done to confirm the above fact. MATERIALS AND METHODS: The subjects for the study were 100 males in the age group of 21 to 40 years. The subjects taken as obese were 50 and those taken as controls were 50. Obesity was taken into account according to the Body Mass Index. RESULTS: Paired T test is done. Results show that 34/50 subjects with BMI 40mg/dl. 40/50 obese patients with BMI >25kg/m2 show HDL levels of <40mg/dl. Significant P value is seen. The study shows that BMI is inversely related to HDL cholesterol levels. DISCUSSION: High HDL cholesterol, above 60 mg/dl is associated with low risk of coronary heart disease. HDL cholesterol below 40 mg/dL is considered too low and appears to be an independent risk factor for coronary artery disease. Low HDL cholesterol is one of the most common phenotypes seen in persons with premature heart disease. Obesity is associated with low HDL cholesterol levels and high triglyceride levels. A negative correlation exists between HDL cholesterol and body-mass index (BMI, meaning that HDL

  5. Evidence for higher heritability of somatotype compared to body mass index in female twins.

    Science.gov (United States)

    Reis, Victor Machado; Machado, João V; Fortes, Marcos S; Fernandes, Paula Roquetti; Silva, António José; Dantas, Paulo Silva; Filho, José Fernandes

    2007-01-01

    The influence of genetics on human physique and obesity has been addressed by the literature. Evidence for heritability of anthropometric characteristics has been previously described, mainly for the body mass index (BMI). However, few studies have investigated the influence of genetics on the Heath-Carter somatotype. The aim of the present study was to assess the heritability of BMI and somatotype (endomorphy, mesomorphy, and ectomorphy) in a group of female monozygotic and dizygotic twins from childhood to early adulthood. A total of 28 females aged from 7 to 19 years old were studied. The group included 5 monozygotic and 9 dizygotic pairs of twins. The heritability was assessed by the twin method (h(2)). The anthropometric measures and somatotype were assessed using standard validated procedures. Significant differences between monozygotic and dizygotic pairs of twins were found for height, endomorphy, ectomorphy, and mesomorphy, and the heritability for these measures was high (h(2) between 0.88 and 0.97). No significant differences were found between monozygotic and dizygotic twins for weight, and the BMI and the heritability indexes were lower for these measures (respectively 0.42 and 0.52). The results of the present study have indicated that the somatotype may be more sensible to genetic influences than the BMI in females. PMID:17283387

  6. Body Mass Index and Facial Cues in Sasang Typology for Young and Elderly Persons

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    Duong Duc Pham

    2011-01-01

    Full Text Available Facial characteristics may provide reliable information giving an insight into the inner nature of an individual. This study examines the differences in widely used facial metrics, including cheek-to-jaw width ratio (CJWR, width-to-height ratio (WHR, perimeter-to-area ratio (PAR, and facial masculinity indexes across Sasang constitutional types, to investigate the association between these facial cues and body mass index (BMI and develop a predictive model for Sasang typing. 2D images of 911 participants were analyzed. The results indicated that TaeEum (TE type generally has a squarer face, with the male TE type having a squarer and wider face than that of both SoYang (SY and SoEum (SE types. Male TE type has longer eyes than that of the SE type, and the lower face of the female TE type is longer than that of the SY type. PAR, WHR, CJWR, and eye size had associations with BMI, and the magnitude of correlation of CJWR in Korean men were twofold higher than that of the Caucasian and African men. BMI and facial metrics including PAR, WHR, CJWR, and eye size were good predictors for TE type, and the most parsimonious model for TE typing included BMI and CJWR with high predictive performances.

  7. The health and cost implications of high body mass index in Australian defence force personnel

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    Peake Jonathan

    2012-06-01

    Full Text Available Abstract Background Frequent illness and injury among workers with high body mass index (BMI can raise the costs of employee healthcare and reduce workforce maintenance and productivity. These issues are particularly important in vocational settings such as the military, which require good physical health, regular attendance and teamwork to operate efficiently. The purpose of this study was to compare the incidence of injury and illness, absenteeism, productivity, healthcare usage and administrative outcomes among Australian Defence Force personnel with varying BMI. Methods Personnel were grouped into cohorts according to the following ranges for (BMI: normal (18.5 − 24.9 kg/m2; n = 197, overweight (25–29.9 kg/m2; n = 154 and obese (≥30 kg/m2 with restricted body fat (≤28% for females, ≤24% for males (n = 148 and with no restriction on body fat (n = 180. Medical records for each individual were audited retrospectively to record the incidence of injury and illness, absenteeism, productivity, healthcare usage (i.e., consultation with medical specialists, hospital stays, medical investigations, prescriptions and administrative outcomes (e.g., discharge from service over one year. These data were then grouped and compared between the cohorts. Results The prevalence of injury and illness, cost of medical specialist consultations and cost of medical scans were all higher (p  Conclusions High BMI in the military increases healthcare usage, but does not disrupt workforce maintenance. The greater prevalence of injury and illness, greater healthcare usage and lower productivity in obese Australian Defence Force personnel is not related to higher levels of body fat.

  8. Preschool Weight and Body Mass Index in Relation to Central Obesity and Metabolic Syndrome in Adulthood

    DEFF Research Database (Denmark)

    Graversen, Lise; Sørensen, Thorkild I A; Petersen, Liselotte;

    2014-01-01

    BACKGROUND: If preschool measures of body size routinely collected at preventive health examinations are associated with adult central obesity and metabolic syndrome, a focused use of these data for the identification of high risk children is possible. The aim of this study was to test...... the associations between preschool weight and body mass index (BMI) and adult BMI, central obesity and metabolic alterations. METHODS: The Northern Finland Birth Cohort 1966 (NFBC1966) (N = 4111) is a population-based cohort. Preschool weight (age 5 months and 1 year) and BMI (age 2-5 years) were studied...... of adult obesity of 6.2(95% CI:4.2-9.3), of adult central obesity of 2.4(95% CI:2.0-2.9), and of early onset adult metabolic syndrome of 2.5(95% CI:1.7-3.8). CONCLUSIONS: High preschool BMI is consistently associated with adult obesity, central obesity and early onset metabolic syndrome. Routinely...

  9. The Association between Marital Transitions, Body Mass Index, and Weight: A Review of the Literature

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    Lauren Dinour

    2012-01-01

    Full Text Available Objective. To examine the association between different marital transitions and changes in body mass index (BMI and body weight. Methods. A systematic literature search was conducted for peer-reviewed articles published between January 1990 and December 2011. Longitudinal studies were included if they compared dependent variables, such as BMI or weight, before and after a change in marital status. Results. Twenty articles were included: 4 articles described only transitions into marriage and/or cohabitation, 2 articles described only transitions out of marriage and/or cohabitation, and 14 articles described both. Overall, transitions into marriage were associated with weight gain, whereas transitions out of marriage were associated with weight loss. No major differences were observed between genders or across specific marital transition states. Conclusions. Additional research is warranted to better understand this phenomenon and the impact of marital transitions on obesity and obesity-related behaviors. This paper highlights potential opportunities to incorporate programs, practices, and policies that aim to promote and support healthy weights and lifestyles upon entering or leaving a marriage or cohabiting relationship.

  10. Gestational weight gain and body mass index in children: results from three german cohort studies.

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    Andreas Beyerlein

    Full Text Available INTRODUCTION: Previous studies suggested potential priming effects of gestational weight gain (GWG on offspring's body composition in later life. However, consistency of these effects in normal weight, overweight and obese mothers is less clear. METHODS: We combined the individual data of three German cohorts and assessed associations of total and excessive GWG (as defined by criteria of the Institute of Medicine with offspring's mean body mass index (BMI standard deviation scores (SDS and overweight at the age of 5-6 years (total: n = 6,254. Quantile regression was used to examine potentially different effects on different parts of the BMI SDS distribution. All models were adjusted for birth weight, maternal age and maternal smoking during pregnancy and stratified by maternal pre-pregnancy weight status. RESULTS: In adjusted models, positive associations of total and excessive GWG with mean BMI SDS and overweight were observed only in children of non- overweight mothers. For example, excessive GWG was associated with a mean increase of 0.08 (95% CI: 0.01, 0.15 units of BMI SDS (0.13 (0.02, 0.24 kg/m(2 of 'real' BMI in children of normal-weight mothers. The effects of total and excessive GWG on BMI SDS increased for higher- BMI children of normal-weight mothers. DISCUSSION: Increased GWG is likely to be associated with overweight in offspring of non-overweight mothers.

  11. Mortality Attributable to Excess Body Mass Index in Iran: Implementation of the Comparative Risk Assessment Methodology

    Science.gov (United States)

    Djalalinia, Shirin; Moghaddam, Sahar Saeedi; Peykari, Niloofar; Kasaeian, Amir; Sheidaei, Ali; Mansouri, Anita; Mohammadi, Younes; Parsaeian, Mahboubeh; Mehdipour, Parinaz; Larijani, Bagher; Farzadfar, Farshad

    2015-01-01

    Background: The prevalence of obesity continues to rise worldwide with alarming rates in most of the world countries. Our aim was to compare the mortality of fatal disease attributable to excess body mass index (BMI) in Iran in 2005 and 2011. Methods: Using standards implementation comparative risk assessment methodology, we estimated mortality attributable to excess BMI in Iranian adults of 25–65 years old, at the national and sub-national levels for 9 attributable outcomes including; ischemic heart diseases (IHDs), stroke, hypertensive heart diseases, diabetes mellitus (DM), colon cancer, cancer of the body of the uterus, breast cancer, kidney cancer, and pancreatic cancer. Results: In 2011, in adults of 25–65 years old, at the national level, excess BMI was responsible for 39.5% of total deaths that were attributed to 9 BMI paired outcomes. From them, 55.0% were males. The highest mortality was attributed to IHD (55.7%) which was followed by stroke (19.3%), and DM (12.0%). Based on the population attributed fractions estimations of 2011, except for colon cancer, the remaining 6 common outcomes were higher for women than men. Conclusions: Despite the priority of the problem, there is currently no comprehensive program to prevention or control obesity in Iran. The present results show a growing need to comprehensive implications for national and sub-national health policies and interventional programs in Iran. PMID:26644906

  12. Body mass index and risk of colorectal cancer according to tumor lymphocytic infiltrate.

    Science.gov (United States)

    Hanyuda, Akiko; Ogino, Shuji; Qian, Zhi Rong; Nishihara, Reiko; Song, Mingyang; Mima, Kosuke; Inamura, Kentaro; Masugi, Yohei; Wu, Kana; Meyerhardt, Jeffrey A; Chan, Andrew T; Fuchs, Charles S; Giovannucci, Edward L; Cao, Yin

    2016-08-15

    Higher body mass index (BMI), higher body adiposity and obesity have been associated with increased risk of colorectal cancer. Evidence suggests that excess energy balance may influence systemic immune and inflammatory status. Thus, we hypothesized that the positive association between BMI and colorectal cancer risk might differ according to colorectal carcinoma subtypes according to levels of histopathological lymphocytic reaction to tumor. We collected biennial questionnaire data on weight and baseline height information in two prospective cohort studies, the Nurses' Health Study (1980-2010) and the Health Professionals Follow-up Study (1986-2010). Utilizing duplication-method Cox proportional hazards regression models, we prospectively assessed the association between BMI and risk of colorectal cancer subtypes according to the degree of Crohn's-like lymphoid reaction, peritumoral lymphocytic reaction, intratumoral periglandular reaction, tumor-infiltrating lymphocytes, the overall lymphocytic reaction score, or T-cell [CD3(+) , CD8(+) , CD45RO (PTPRC)(+) or FOXP3(+) ] density in tumor tissue. Statistical significance level was adjusted for multiple hypotheses testing by Bonferroni correction. During follow up of 1,708,029 men and women (over 3,346,752 person-years), we documented 1,436 incident rectal and colon cancer cases with available formalin-fixed paraffin-embedded tumor tissue materials and pathological immunity data. BMI was significantly associated with higher risk of overall colorectal cancer (Ptrend   0.10). BMI may be associated with risk of colorectal cancer regardless of levels of lymphocytic response to tumor. PMID:27037951

  13. Body Dissatisfaction and Self-Esteem in Female Students Aged 9–15: The Effects of Age, Family Income, Body Mass Index Levels and Dance Practice

    OpenAIRE

    Monteiro Lilian A.; Novaes Jefferson S.; Santos Mara L.; Fernandes Helder M.

    2014-01-01

    This study aimed to analyze the effects of age, family income, body mass index and dance practice on levels of body dissatisfaction and self-esteem in female students. The sample consisted of 283 female subjects attending a public school with a mean age of 11.51±1.60 years and a mean body mass index of 18.72 kg/m2 (SD=3.32). The instruments used were the Body Dissatisfaction Scale for Adolescents and the Rosenberg Self-Esteem Scale, both of which showed good internal consistency (0.77 and 0.8...

  14. Physical fitness is inversely related with body mass index and body fat percentage in soccer players aged 16-18 years

    OpenAIRE

    Nikolaïdis Pantelis Theodoros

    2012-01-01

    Introduction: Adolescents are at increased risk for the development of obesity, while sport has been suggested as an effective means against adolescent obesity. The objectives of this study were to examine (a) the prevalence of overweight/obesity, (b) the relationship between body mass index and body fat percentage, and (c) the association between body mass index, body fat and physical fitness in soccer players aged 16-18 yr. Material and Methods: Members (n=109, aged 17.0±0.5 yr) of co...

  15. Early Childhood Caries and Body Mass Index in Young Children from Low Income Families

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    Maria Goretti Queiroz

    2013-03-01

    Full Text Available The relationship between early childhood caries (ECC and obesity is controversial. This cross-sectional survey investigated this association in children from low-income families in Goiania, Goias, Brazil and considered the role of several social determinants. A questionnaire examining the characteristics of the children and their families was administered to the primary caregiver during home visits. In addition, children (approximately 6 years of age had their height, weight, and tooth condition assessed. The primary ECC outcome was categorized as one of the following: caries experience (decayed, missing, filled tooth: “dmft” index > 0, active ECC (decayed teeth > 0, or active severe ECC (decayed teeth ≥ 6. Descriptive, bivariate and logistic regression analyses were conducted. The participants in the current study consisted of 269 caregiver-child dyads, 88.5% of whom were included in the Family Health Program. Caregivers were mostly mothers (67.7%, were 35.3 ± 10.0 years old on average and had 9.8 ± 3.1 years of formal education. The mean family income was 2.3 ± 1.5 times greater than the Brazilian minimum wage. On average, the children in the current study were 68.7 ± 3.8 months old. Of these, 51.7% were boys, 23.4% were overweight or obese, 45.0% had active ECC, and 17.1% had severe ECC. The average body mass index (BMI of the children was 15.9 ± 2.2, and their dmft index was 2.5 ± 3.2. BMI was not associated with any of the three categories of dental caries (p > 0.05. In contrast, higher family incomes were significantly associated with the lack of caries experience in children (OR 1.22, 95%CI 1.01–1.50, but the mother’s level of education was not significantly associated with ECC.

  16. Effects of fluoxetine and melatonin on mood, sleep quality and body mass index in postmenopausal women.

    Science.gov (United States)

    Chojnacki, C; Walecka-Kapica, E; Klupinska, G; Pawlowicz, M; Blonska, A; Chojnacki, J

    2015-10-01

    Frequent mood and sleep disorders and increased appetite leading to obesity are observed in postmenopausal women. Due to the limitations of hormone replacement therapy the researchers look for other treatment regimes. The aim of the study was to evaluate the efficacy of fluoxetine and melatonin in the treatment of these disorders. The study included 64 overweight postmenopausal women, aged 54 - 65 years, with increased appetite. They were randomly assigned in 2 groups. In group I (n = 30) fluoxetine (20 mg in the morning) and placebo (in the evening) were administered for 24 weeks. Group II (n = 34) received fluoxetine (20 mg in the morning) and melatonin (5 mg in the evening) in the same period of time. Hamilton anxiety rating scale (HARS), Beck depression scale (BDI), the insomnia severity index (ISI) and body mass index (BMI) were used to assess the health status and the treatment efficacy. After 24 weeks, comparable and statistically significant reduction in the level of anxiety and depression was obtained in both groups. In group I, the ISI decreased from 14.9 ± 2.5 points to 10.9 ± 1.9 points (P < 0.05) and in group II from 15.8 ± 2.4 points to 7.7 ± 1.5 points (P < 0.001). In group I no reduction in BMI was achieved whereas in group II this index decreased from 30.9 ± 3.1 to 26.3 ± 3.2 (P < 0.05). We conclude that combined administration of fluoxetine and melatonin was useful option to treat mood, sleep and appetite disorders in postmenopausal women. PMID:26579572

  17. Developmental trajectories of body mass index among Japanese children and impact of maternal factors during pregnancy.

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    Chiyori Haga

    Full Text Available BACKGROUND: The aims of this study were to 1 determine the distinct patterns of body mass index (BMI trajectories in Japanese children, and 2 elucidate the maternal factors during pregnancy, which contribute to the determination of those patterns. METHODOLOGY/PRINCIPAL FINDINGS: All of the children (1,644 individuals born in Koshu City, Japan, between 1991 and 1998 were followed in a longitudinal study exploring the subjects' BMI. The BMI was calculated 11 times for each child between birth and 12 years of age. Exploratory latent class growth analyses were conducted to identify trajectory patterns of the BMI z-scores. The distribution of BMI trajectories were best characterized by a five-group model for boys and a six-group model for girls. The groups were named "stable thin," "stable average," "stable high average," "progressive overweight," and "progressive obesity" in both sexes; girls were allocated to an additional group called "progressive average." Multinomial logistic regression found that maternal weight, smoking, and skipping breakfast during pregnancy were associated with children included in the progressive obesity pattern rather than the stable average pattern. These associations were stronger for boys than for girls. CONCLUSIONS/SIGNIFICANCE: Multiple developmental patterns in Japanese boys and girls were identified, some of which have not been identified in Western countries. Maternal BMI and some unfavorable behaviors during early pregnancy may impact a child's pattern of body mass development. Further studies to explain the gender and regional differences that were identified are warranted, as these may be important for early life prevention of weight-associated health problems.

  18. Effects of Body Mass Index and Body Fat Percent on Default Mode, Executive Control, and Salience Network Structure and Function.

    Science.gov (United States)

    Figley, Chase R; Asem, Judith S A; Levenbaum, Erica L; Courtney, Susan M

    2016-01-01

    It is well established that obesity decreases overall life expectancy and increases the risk of several adverse health conditions. Mounting evidence indicates that body fat is likely also associated with structural and functional brain changes, reduced cognitive function, and greater impulsivity. However, previously reported differences in brain structure and function have been variable across studies and difficult to reconcile due to sample population and methodological differences. To clarify these issues, we correlated two independent measures of body composition-i.e., body mass index (BMI) and body fat percent (BFP)-with structural and functional neuroimaging data obtained from a cohort of 32 neurologically healthy adults. Whole-brain voxel-wise analyses indicated that higher BMI and BFP were associated with widespread decreases in gray matter volume, white matter volume, and white matter microstructure (including several regions, such as the striatum and orbitofrontal cortex, which may influence value assessment, habit formation, and decision-making). Moreover, closer examination of resting state functional connectivity, white matter volume, and white matter microstructure throughout the default mode network (DMN), executive control network (ECN), and salience network (SN) revealed that higher BMI and BFP were associated with increased SN functional connectivity and decreased white matter volumes throughout all three networks (i.e., the DMN, ECN, and SN). Taken together, these findings: (1) offer a biologically plausible explanation for reduced cognitive performance, greater impulsivity, and altered reward processing among overweight individuals, and (2) suggest neurobiological mechanisms (i.e., altered functional and structural brain connectivity) that may affect overweight individuals' ability to establish and maintain healthy lifestyle choices. PMID:27378831

  19. The association of gut microbiota with body weight and body mass index in preschool children of Estonia

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    Epp Sepp

    2013-02-01

    Full Text Available Background: The gut microbiota has been shown to affect both fat storage and energy harvesting, suggesting that it plays a direct role in the development of obesity. The aim of this study was to investigate whether intestinal colonization by particular species/groups of the intestinal microbiota is related to body weight values in Estonian preschool children born in different years during the entire 1990s. Methods: Body weight, height, body mass index (BMI, and quantitative composition of cultivable gut microbiota (staphylococci, enterococci, streptococci, enterobacteria, lactobacilli, anaerobic gram-positive cocci, bifidobacteria, eubacteria, bacteroides, clostridia, and candida were studied in 51 healthy 5-year-old children (40 were born between 1993 and 94 and 11 were born between 1996 and 97. Results: At the age of 5 years, median weight was 19.5 kg and median BMI was 15.3 kg/m2. Significantly higher BMI (p=0.006 was found in 5-year-old children born in late versus early 1990s during the development of socioeconomic situation of Estonia (2% rise in gross domestic product. The counts of the different gut bacteria did not show any association with weight and BMI in the 5-year-old children. However, the BMI values were in positive correlation with a relative share of anaerobic gram-positive bacteria, for example, bifidobacteria when adjusted for sex and year of birth (adj R2=0.459, p=0.026 and eubacteria (adj R2=0.484, p=0.014 in the community of cultured intestinal microbiota. The relative share of bacteroides showed a negative correlation with the childrens’ weight (adj R2=− 0.481, p=0.015. Conclusion: The body weight indices of preschool children of the general population are associated with the proportion of anaerobic intestinal microbiota and can be predicted by sex and particular socioeconomic situation from birth to 5 years of age.

  20. The relationship between body mass index and physical fitness in 513 medical students

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    Ziaee V.

    2007-10-01

    Full Text Available Background: As future health care providers, medical students should be aware of the relationship between health and physical fitness, giving them an advantage toward attaining proper physical fitness. The exercise and fitness habits of first-year medical students in Iran are not known. This study examines the relationship between the body mass index (BMI of an unselected group of first-year medical students and their personal physical fitness. Methods: In this cross-sectional study, 513 first-year medical students were evaluated. BMI, skin folds (triceps, biceps, suprailiac and subscapular and physical fitness were assessed in all students. Fitness was evaluated by the Eurofit test, which included body composition, cardiovascular endurance, flexibility, muscular endurance, muscular strength, power, balance and agility. The software SPSS (version 11 and Pearson's correlation were used for statistical analysis.Results: The group surveyed was 67.8% female and 32.2% male, and 97.2% were entering medical school in 2004. The mean weight of the students was 60.1 kg, mean height was 163.9 cm and the mean BMI was 22.3 kg/m2. Underweight status (BMI<20 was observed in 27.1% of the subjects, 16.1% were overweight (2530. Overweight and obesity in males was higher than in females. The total physical fitness score in female students was better than that of male students. We found a negative correlation between physical fitness and weight, BMI, body fat and wrist to hip ratio in both genders. In addition, a positive correlation exits between hip circumference and physical fitness in both groups. Conclusions: This study suggests that academically competitive premedical students may not be involved in physical activity. Medical students should be encouraged to maintain a good BMI and perform physical exercise.

  1. Psychiatric Status across Body Mass Index in a Mediterranean Spanish Population.

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    Mario Gutiérrez-Bedmar

    Full Text Available Mental and body weight disorders are among the major global health challenges, and their comorbidity may play an important role in treatment and prevention of both pathologies. A growing number of studies have examined the relationship between psychiatric status and body weight, but our knowledge is still limited.The present study aims to investigate the cross-sectional relationships of psychiatric status and body mass index (BMI in Málaga, a Mediterranean city in the South of Spain.A total of 563 participants were recruited from those who came to his primary care physician, using a systematic random sampling, non-proportional stratified by BMI categories. Structured clinical interviews were used to assess current Axes-I and II mental disorders according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR. BMI was calculated as weight (Kg divided by square of height in meters (m2. Logistic regression was used to investigate the association between BMI and the presence of any mental disorder. BMI was introduced in the models using restricted cubic splines.We found that high BMI values were directly associated with mood and adjustment disorders, and low BMI values were directly associated with avoidant and dependent personality disorders (PDs. We observed an inverse relationship between low BMI values and cluster A PDs. There were not significant relationships between anxiety or substance-related disorders and BMI.Psychiatric status and BMI are related in a Mediterranean Spanish population. A multidisciplinary approach to both pathologies becomes increasingly more necessary.

  2. The effect of maternal body mass index on spontaneous versus induced preterm birth: a prospective study

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    Moghadami N

    2009-06-01

    Full Text Available "n Normal 0 false false false EN-GB X-NONE AR-SA MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi;} Background: Preterm birth which is defined as delivery before 37 completed weeks was implicated in approximately two thirds of neonatal death. Also preterm labors are the most common cause of mortality and morbidity of infants in recent years and it costs high prices for health system. We evaluate the relationship between prepregnancy maternal body mass Index (BMI and spontaneous and indicated preterm birth."n"n Methods: This study included 250 healthy pregnant women, without any risk factors of preterm birth, were classified into categories that were based on their body mass index. Association between BMI, weight gain and rout of delivery were examined. Rates of indicated and spontaneous preterm birth were compared."n"n Results: Obese women delivered at a more advanced gestational age. (38/34±1/66 weeks vs 37/61±2/44, p=0/006. Obese patients had significantly lower incidence of spontaneous preterm birth at < 37 weeks of gestation (16/8% vs 31/2% p=0/008. Obese women had larger infants (3354/95±596/75 vs 311.24±558/357 p=0/001, and had more frequent cesarean delivery (69/6% vs 52/8%, p=0/006. Weight gain during pregnancy is poorly correlated with prepregnancy BMI (14/41±7/93 kg vs 13/78±4/94kg, p=0/4 and preterm

  3. Waist circumference as compared with body-mass index in predicting mortality from specific causes.

    Directory of Open Access Journals (Sweden)

    Michael F Leitzmann

    Full Text Available BACKGROUND: Whether waist circumference provides clinically meaningful information not delivered by body-mass index regarding prediction of cause-specific death is uncertain. METHODS: We prospectively examined waist circumference (WC and body-mass index (BMI in relation to cause-specific death in 225,712 U.S. women and men. Cox regression was used to estimate relative risks and 95% confidence intervals (CI. Statistical analyses were conducted using SAS version 9.1. RESULTS: During follow-up from 1996 through 2005, we documented 20,977 deaths. Increased WC consistently predicted risk of death due to any cause as well as major causes of death, including deaths from cancer, cardiovascular disease, and non-cancer/non-cardiovascular diseases, independent of BMI, age, sex, race/ethnicity, smoking status, and alcohol intake. When WC and BMI were mutually adjusted in a model, WC was related to 1.37 fold increased risk of death from any cancer and 1.82 fold increase risk of death from cardiovascular disease, comparing the highest versus lowest WC categories. Importantly, WC, but not BMI showed statistically significant positive associations with deaths from lung cancer and chronic respiratory disease. Participants in the highest versus lowest WC category had a relative risk of death from lung cancer of 1.77 (95% CI, 1.41 to 2.23 and of death from chronic respiratory disease of 2.77 (95% CI, 1.95 to 3.95. In contrast, subjects in the highest versus lowest BMI category had a relative risk of death from lung cancer of 0.94 (95% CI, 0.75 to 1.17 and of death from chronic respiratory disease of 1.18 (95% CI, 0.89 to 1.56. CONCLUSIONS: Increased abdominal fat measured by WC was related to a higher risk of deaths from major specific causes, including deaths from lung cancer and chronic respiratory disease, independent of BMI.

  4. Relationship of Body Mass Index with periodontal health status of green marble mine laborers in Kesariyaji, India

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    Santhosh Kumar

    2009-12-01

    Full Text Available It is evident from literature that an increased body mass index (BMI may be a potential risk factor for periodontitis. Association between BMI and periodontitis has been ascribed to unhealthy dietary patterns with insufficient micronutrients and excess sugar and fat content. The present study population has been plagued by unhealthy nutritional practices, hence the present study intended to assess the relation between BMI and periodontal status among green marble mine laborers of Kesariyaji, in the Udaipur district of Rajasthan, India. The study sample comprised of 513 subjects aged 18-54 years, drawn using the stratified cluster sampling procedure. BMI was calculated as the ratio of the subject's body weight (in kg to the square of their height (in meters. Periodontal status was recorded using the Community Periodontal Index (CPI. Binary multiple logistic regression analysis was executed to assess the relation between body mass index and periodontitis. The dependent variable for logistic regression analysis was categorized into control group (scores 0 - 2 of the CPI and periodontitis group (scores 3 and 4 of the CPI. The overall prevalence of periodontal disease was 98.2%. Caries status and mean number of teeth present deteriorated with the poor periodontal status. Subjects had an increased risk of periodontitis by 57% for each 1kg/m² increase in the body mass index, which means that a higher body mass index could be a potential risk factor for periodontitis among the adults aged 18 to 54 years. In conclusion, evaluation of the body mass index could be used in periodontal risk assessment.

  5. Associations between lifestyle patterns and body mass index in a sample of Greek children and adolescents

    NARCIS (Netherlands)

    Kontogianni, Meropi D; Farmaki, Anastasia-Eleni; Vidra, Nikoletta; Sofrona, Stavroula; Magkanari, Flora; Yannakoulia, Mary

    2010-01-01

    BACKGROUND: Although eating and physical activity behaviors have been previously individually investigated with regard to overweight in children, multidimensional lifestyle patterns, based on these behaviors, have not been explored. OBJECTIVE: To assess lifestyle patterns in relation to body mass in

  6. Body mass index and body fat percentage are associated with decreased physical fitness in adolescent and adult female volleyball players

    Directory of Open Access Journals (Sweden)

    Pantelis Theo Nikolaidis

    2013-01-01

    Full Text Available Background: The objectives of this study were to examine (a the prevalence of overweight/obesity, and (b the relationship between body mass index (BMI, body fat percentage (BF and physical fitness in adolescent and adult female volleyball players. Materials and Methods: Adolescent (n = 102, aged 15.2 ± 2.0 year and adult (n = 57, 25.9 ± 5.0 year players were examined for anthropometric characteristics and body composition, and performed the physical working capacity in heart rate 170 min -1 test, a force-velocity test, the Wingate anaerobic test (WAnT, sit-and-reach test (SAR, handgrip strength test (HST and countermovement vertical jump (CVJ. Results: Based on international BMI cut-off points, 27.5% (n = 28 of adolescent and 12.3% (n = 7 of adult participants were classified as overweight, with the prevalence of overweight being higher in girls than in women (χ2 = 4.90, P = 0.027. BMI was correlated with BF in both age groups (r = 0.72, P < 0.001 in girls; r = 0.75, P < 0.001 in women. Normal participants had superior certain physical and physiological characteristics than those who were overweight. For instance, normal girls and women had higher mean power during WAnT than their overweight counterparts (P = 0.003 and P = 0.009 respectively. Except for flexibility, BMI and BF were inversely related with physical fitness (e.g., BMI vs. HST r = -0.39, P < 0.001 in girls; BF vs. CVJ r = -0.45, P < 0.001 in women. Conclusion: The findings confirmed the negative effect of overweight and fatness on selected parameters of physical fitness. The prevalence of overweight in adolescent volleyball players was higher than in general population, which was a novel finding, suggesting that proper exercise interventions should be developed to target the excess of body mass in youth volleyball clubs.

  7. Relation of Nonvalvular Atrial Fibrillation to Body Mass Index (from the SPORTIF Trials).

    Science.gov (United States)

    Proietti, Marco; Lane, Deirdre A; Lip, Gregory Y H

    2016-07-01

    Obesity is well-established as a major cardiovascular (CV) risk factor. Obesity confers a greater risk for developing atrial fibrillation (AF), but the relation between obesity and established nonvalvular AF for stroke and all-cause death is still unclear. To ascertain the prevalence of overweight and obesity in patients with nonvalvular AF, their influence on adverse events, and the relation with anticoagulation control, we performed this post hoc analysis of the pooled Stroke Prevention using an Oral Thrombin Inhibitor in patients with atrial Fibrillation (SPORTIF) III and V data sets. For this study, we analyzed all patients assigned to the warfarin arm with data on body mass index (BMI). Time in therapeutic range was used as an index of the quality of anticoagulation control. The 3,630 patients eligible for this analysis were categorized as follows: (1) BMI 18.5 to 24.9 ("normal weight") in 24.1%; (2) BMI 25.0 to 29.9 ("overweight") in 39.8%; and BMI ≥30 ("obese") in 36.1%. Both overweight (hazard ratio [HR] 0.70) and obese (HR 0.59) categories were inversely associated with the composite outcome of stroke/all-cause death. A similar inverse association was seen for the end point of stroke (HR 0.61 and 0.47, respectively). Good anticoagulation control also attenuated the association between BMI categories and outcomes. In patients with time in therapeutic range >70%, BMI category was not significantly associated with the composite outcome of stroke/death and stroke. Stroke and all-cause death progressively reduced in overweight and obese anticoagulated patients with AF. The inverse relation of BMI categories to the risk of stroke and all-cause death was mitigated by good anticoagulation control. PMID:27184172

  8. Correlation between Body Mass Index and Central Adiposity with Pregnancy Complications in Pregnant Women

    Directory of Open Access Journals (Sweden)

    Mehrangiz Ebrahimi-Mameghani

    2013-06-01

    Full Text Available Background: The prevalence of obesity is increasing throughout the world. Obesity assessed by body mass index (BMI has shown to be associated with gestational complications while the relationship using waist circumference (WC is not clear yet. The present study was aimed to determine the relationship be-tween WC and adverse pregnancy complications.Methods: In this prospective cohort study, 1140 nulliparous pregnant women at 1st trimester of pregnancy referred to health care centers in Tabriz, Iran were enrolled in 2009-2010. Anthropometric indexes including (weight, height and WC were measured using standardized measures and methods. BMI was clas-sified into normal, overweight and obesity based on WHO classification. Ab-dominal obesity was defined as WC ≥ 88 cm. Pregnancy complication including gestational diabetes, hypertension and preeclamsia. Data were analyzed using SPSS, version 16.Results: Mean of BMI and WC were 24.32±4.08 kg/m2, 81.84±9.25cm at 1st trimester of pregnancy, respectively. Prevalence of overweight (BMI=25-29.9 kg/m2 and obesity (BMI>29.9 kg/m2 was 27.6%, 8.8%, respectively. Abdo-minal obesity based on WC was 34.8%. Significant correlations were found between BMI and WC (r=0.73, P =0.0001. Women with BMI>29.9 kg/m2 and WC>88 cm were more likely to suffer from gestational pregnancy and hyper-tension, as well as preeclampsia and preterm delivery.Conclusion: Early maternal WC similar to BMI is related with pregnancy complications.

  9. Poverty, Sprawl, and Restaurant Types Influence Body Mass Index of Residents in California Counties

    Science.gov (United States)

    Gregson, Jennifer

    2011-01-01

    Objectives. This article examines the relationships between structural poverty (the proportion of people in a county living at ≤130% of the federal poverty level [FPL]), urban sprawl, and three types of restaurants (grouped as fast food, chain full service, and independent full service) in explaining body mass index (BMI) of individuals. Methods. Relationships were tested with two-tiered hierarchical models. Individual-level data, including the outcome variable of calculated BMI, were from the 2005, 2006, and 2007 California Behavioral Risk Factor Surveillance Survey (n=14,205). County-level data (n=33) were compiled from three sources. The 2000 U.S. Census provided the proportion of county residents living at ≤130% of FPL and county demographic descriptors. The sprawl index used came from the Smart Growth America Project. Fast-food, full-service chain, and full-service independently owned restaurants as proportions of the total retail food environment were constructed from a commercially available market research database from 2004. Results. In the analysis, county-level demographic characteristics lost significance and poverty had a consistent, robust association on BMI (p<0.001). Sprawl demonstrated an additional, complementary association to county poverty (p<0.001). Independent restaurants had a large, negative association to BMI (p<0.001). The coefficients for chain and fast-food restaurants were large and positive (p≤0.001), indicating that as the proportion of these restaurants in a county increases, so does BMI. Conclusions. This study demonstrates the important role of county poverty and urban sprawl toward understanding environmental influences on BMI. Using three categories of restaurants demonstrates different associations of full-service chain and independent restaurants, which are often combined in other research. PMID:21563722

  10. Neighbourhood Influences on Children’s Weight-related Behaviours and Body Mass Index

    Directory of Open Access Journals (Sweden)

    Gabrielle L. Jenkin

    2015-08-01

    Full Text Available Introduction: Neighbourhood contextual factors such as accessibility of food shops and green spaces are associated with adult bodyweight but not necessarily weight-related behaviours. Whether these associations are replicated amongst children is unknown.Aim: To understand which aspects of childrens' neighbourhoods are associated with unhealthy weight and weight-related behaviours.Methods: Individual-level data for children from the 2006/7 New Zealand Health Survey (of Body Mass Index (BMI, dietary indicators and socioeconomic variables were linked with geographic level data on neighbourhood deprivation, rural/urban status, percentage of community engaged in active travel, access to green space, food shops and sports/leisure facilities. Logistic regression models were fitted for measures of BMI and weight-related behaviours; sugar sweetened beverage (SSB consumption; fast-food consumption; and television viewing. Results:Increased Ccommunity engagement in active transport was, counterintuitively, the only neighbourhood contextual factor associated with unhealthy weight amongst children. After adjustment for socioeconomic and environmental variables, greater access to green space appeared to have a protective effect on SSB consumption and neighbourhood deprivation was associated with all three unhealthy weight-related behaviours (SSB and fast-food consumption and television viewing. Conclusions: Although further research is needed, evidence from the current study suggests that a repertoire of health promotion interventions and policies to change unhealthy weight- related behaviours in high deprivation neighbourhoods may be required to address childhood obesity.

  11. Density and Proximity of Fast Food Restaurants and Body Mass Index Among African Americans

    Science.gov (United States)

    Regan, Seann D.; Nguyen, Nga; Cromley, Ellen K.; Strong, Larkin L.; Wetter, David W.; McNeill, Lorna H.

    2014-01-01

    Objectives. The purpose of this study was to address current gaps in the literature by examining the associations of fast food restaurant (FFR) density around the home and FFR proximity to the home, respectively, with body mass index (BMI) among a large sample of African American adults from Houston, Texas. Methods. We used generalized linear models with generalized estimating equations to examine associations of FFR density at 0.5-, 1-, 2-, and 5-mile road network buffers around the home with BMI and associations of the closest FFR to the home with BMI. All models were adjusted for a range of individual-level covariates and neighborhood socioeconomic status. We additionally investigated the moderating effects of household income on these relations. Data were collected from December 2008 to July 2009. Results. FFR density was not associated with BMI in the main analyses. However, FFR density at 0.5, 1, and 2 miles was positively associated with BMI among participants with lower incomes (P ≤ .025). Closer FFR proximity was associated with higher BMI among all participants (P < .001), with stronger associations emerging among those of lower income (P < .013) relative to higher income (P < .014). Conclusions. Additional research with more diverse African American samples is needed, but results supported the potential for the fast food environment to affect BMI among African Americans, particularly among those of lower economic means. PMID:23678913

  12. Health behaviour and body mass index among problem gamblers: results from a nationwide survey.

    Science.gov (United States)

    Algren, Maria H; Ekholm, Ola; Davidsen, Michael; Larsen, Christina V L; Juel, Knud

    2015-06-01

    Problem gambling is a serious public health issue. The objective of this study was to investigate whether past year problem gamblers differed from non-problem gamblers with regard to health behaviour and body mass index (BMI) among Danes aged 16 years or older. Data were derived from the Danish Health and Morbidity Surveys in 2005 and 2010. Past year problem gambling was defined using the lie/bet questionnaire. Logistic regression analyses were used to examine the association between past year problem gambling and health behaviour and BMI. Problem gambling was associated with unhealthy behaviour and obesity. The odds of smoking was significantly higher among problem gamblers than among non-problem gamblers. Further, the odds of high-risk alcohol drinking and illicit drug use were significantly higher among problem gamblers. The prevalence of sedentary leisure activity, unhealthy diet pattern and obesity was higher among problem gamblers than among non-problem gamblers. The associations found in this study remained significant after adjustment for sex, age, educational and cohabiting status as well as other risk factors. Our findings highlight the presence of a potential, public health challenge and elucidate the need for health promotion initiatives targeted at problem gamblers. Furthermore, more research is needed in order to understand the underlying social mechanism of the association between problem gamblers and unhealthy behaviour. PMID:24390713

  13. The effects of body mass index on the treatment of the patients with migraine headaches

    Directory of Open Access Journals (Sweden)

    Farnaz Akbari

    2011-08-01

    Full Text Available Background: Migraine is a prevalent disease which isclassified into two groups of migraine with aura andwithout aura. Eighteen percent of women and 6.5 percentof men in United States have migraine headache. Migraineheadache is prevalent in all age groups but it usuallysubsides in adults above fifty. Migraine has many riskfactors such as stress, light, tiredness, special foods andbeverages. The aim of this study was the evaluation of theeffects of body mass index (BMI on the treatment ofmigraine headaches.Methods: All patients assigned to four groups according totheir BMI. Patients with more than three attacks per monthreceived nortriptyline and propranolol for eight weeks. Thefrequency, duration and severity of pain were measured byvisual analogue scale (VAS and behavioral rating scale (BRS-6 in regular intervals.Results: 203 patients completed the study. 153(75% subjectswere women and 50(25% were men. Mean age of patientswas 30.5 ± 7.1 years. Mean weight was 80.4 ± 14.1 kg andmean height was 1.67 ± 0.07 m. Pain frequency and durationshowed statistically significant differences among four groupswith better response in patients with lower BMI (P < 0.0001.VAS and BRS-6 scales showed statistically significantdifferences among four groups in favor of patients withlower BMI (P < 0.0001.

  14. Multiple contexts and adolescent body mass index: Schools, neighborhoods, and social networks.

    Science.gov (United States)

    Evans, Clare R; Onnela, Jukka-Pekka; Williams, David R; Subramanian, S V

    2016-08-01

    Adolescent health and behaviors are influenced by multiple contexts, including schools, neighborhoods, and social networks, yet these contexts are rarely considered simultaneously. In this study we combine social network community detection analysis and cross-classified multilevel modeling in order to compare the contributions of each of these three contexts to the total variation in adolescent body mass index (BMI). Wave 1 of the National Longitudinal Study of Adolescent to Adult Health is used, and for robustness we conduct the analysis in both the core sample (122 schools; N = 14,144) and a sub-set of the sample (16 schools; N = 3335), known as the saturated sample due to its completeness of neighborhood data. After adjusting for relevant covariates, we find that the school-level and neighborhood-level contributions to the variance are modest compared with the network community-level (σ(2)school = 0.069, σ(2)neighborhood = 0.144, σ(2)network = 0.463). These results are robust to two alternative algorithms for specifying network communities, and to analysis in the saturated sample. While this study does not determine whether network effects are attributable to social influence or selection, it does highlight the salience of adolescent social networks and indicates that they may be a promising context to address in the design of health promotion programs. PMID:27322912

  15. Maternal Body Mass Index and Risk of Autism Spectrum Disorders in Offspring: A Meta-analysis

    Science.gov (United States)

    Wang, Ying; Tang, Shiming; Xu, Shunsheng; Weng, Shenhong; Liu, Zhongchun

    2016-01-01

    Controversial results of the association between maternal body mass index (BMI) and risk of autism spectrum disorder (ASD) in offspring were reported among several studies. This meta-analysis was conducted to estimate the overall association between maternal BMI and risk of ASD in offspring. PubMed, EMBASE, Web of Science, and the Cochrane Library were searched until January 2016. Cohort and case-control studies addressing the association between maternal BMI and risk of ASD in offspring were included. We used random-effect models to estimate the summary relative risks (RRs), we also performed a dose-response meta-analysis to estimate the trend from the correlated log RR estimates across levels of BMI quantitatively. Totally, 6 cohort studies and 1 case-control study involving 8,403 cases and 509,167 participants were included for analysis. The summary RR (95% confidence interval) for ASD in offspring in relation to maternal underweight, overweight, and obesity vs. normal weight during pre-pregnancy or pregnancy, was 1.07 (0.93, 1.23), 1.28 (1.19, 1.36) and 1.36 (1.03, 1.78), respectively. A linear dose-response relationship was found, with a pooled RR of 1.16 (1.01, 1.33) for each 5 kg/m2. increment in maternal BMI. The present study suggests that excessive maternal BMI is associated with increased ASD risk in offspring. PMID:27687989

  16. Effects of body mass index on gastric slow wave: a magnetogastrographic study

    International Nuclear Information System (INIS)

    We measured gastric slow wave activity simultaneously with magnetogastrogram (MGG), mucosal electromyogram (EMG) and electrogastrogram (EGG) in human subjects with varying body mass index (BMI) before and after a meal. In order to investigate the effect of BMI on gastric slow wave parameters, each subject's BMI was calculated and divided into two groups: subjects with BMI ≤ 27 and BMI > 27. Signals were processed with Fourier spectral analysis and second-order blind identification (SOBI) techniques. Our results showed that increased BMI does not affect signal characteristics such as frequency and amplitude of EMG and MGG. Comparison of the postprandial EGG power, on the other hand, showed a statistically significant reduction in subjects with BMI > 27 compared with BMI ≤ 27. In addition to the frequency and amplitude, the use of SOBI-computed propagation maps from MGG data allowed us to visualize the propagating slow wave and compute the propagation velocity in both BMI groups. No significant change in velocity with increasing BMI or meal was observed in our study. In conclusion, multichannel MGG provides an assessment of frequency, amplitude and propagation velocity of the slow wave in subjects with differing BMI categories and was observed to be independent of BMI. (paper)

  17. Exposure to violence in childhood is associated with higher body mass index in adolescence.

    Science.gov (United States)

    Gooding, Holly C; Milliren, Carly; Austin, S Bryn; Sheridan, Margaret A; McLaughlin, Katie A

    2015-12-01

    To determine whether different types of childhood adversity are associated with body mass index (BMI) in adolescence, we studied 147 adolescents aged 13-17 years, 41% of whom reported exposure to at least one adversity (maltreatment, abuse, peer victimization, or witness to community or domestic violence). We examined associations between adversity type and age- and sex-specific BMI z-scores using linear regression and overweight and obese status using logistic regression. We adjusted for potential socio-demographic, behavioral, and psychological confounders and tested for effect modification by gender. Adolescents with a history of sexual abuse, emotional abuse, or peer victimization did not have significantly different BMI z-scores than those without exposure (p>0.05 for all comparisons). BMI z-scores were higher in adolescents who had experienced physical abuse (β=0.50, 95% CI 0.12-0.91) or witnessed domestic violence (β=0.85, 95% CI 0.30-1.40). Participants who witnessed domestic violence had almost 6 times the odds of being overweight or obese (95% CI: 1.09-30.7), even after adjustment for potential confounders. No gender-by-adversity interactions were found. Exposure to violence in childhood is associated with higher adolescent BMI. This finding highlights the importance of screening for violence in pediatric practice and providing obesity prevention counseling for youth. PMID:26303827

  18. Season of birth is associated with adult body mass index in patients with bipolar disorder.

    Science.gov (United States)

    Soreca, Isabella; Cheng, Yu; Frank, Ellen; Fagiolini, Andrea; Kupfer, David J

    2013-05-01

    Cardiovascular risk factors, such as abdominal obesity and obesity in general, are very prevalent among patients with bipolar disorder (BD). Although long-term use of psychotropic medications is an important determinant of these risk factors, other evidence suggests that early development may interact with the mood disorder diathesis to exponentially increase the risk of obesity. The goal of our study was to test whether season of birth is associated with adult body mass index (BMI) and abdominal obesity in individuals with bipolar disorder. We compared season of birth effects on BMI in 375 adult patients with bipolar disorder and 196 adult patients with unipolar major depression. We found a significant season of birth effect on BMI in patients with bipolar disorder, but not unipolar. In patients with bipolar disorder, season of birth was also associated with waist circumference, with a stronger effect in males. Season of birth affects adult BMI and waist circumference in patients with bipolar disorder, but not in patients with unipolar depression. Our results suggest that early environmental factors, yet to be identified, interact with specific neurobiological features of bipolar disorder to determine stable traits and disease risk factors in adult life. PMID:23445513

  19. Genetic variations in the serotoninergic system contribute to body-mass index in Chinese adolescents.

    Directory of Open Access Journals (Sweden)

    Chunhui Chen

    Full Text Available OBJECTIVE: Obesity has become a worldwide health problem in the past decades. Human and animal studies have implicated serotonin in appetite regulation, and behavior genetic studies have shown that body mass index (BMI has a strong genetic component. However, the roles of genes related to the serotoninergic (5-hydroxytryptamine,5-HT system in obesity/BMI are not well understood, especially in Chinese subjects. SUBJECTS AND DESIGN: With a sample of 478 healthy Chinese volunteers, this study investigated the relation between BMI and genetic variations of the serotoninergic system as characterized by 136 representative polymorphisms. We used a system-level approach to identify SNPs associated with BMI, then estimated their overall contribution to BMI by multiple regression and verified it by permutation. RESULTS: We identified 12 SNPs that made statistically significant contributions to BMI. After controlling for gender and age, four of these SNPs accounted for 7.7% additional variance of BMI. Permutation analysis showed that the probability of obtaining these findings by chance was low (p = 0.015, permuted for 1000 times. CONCLUSION: These results showed that genetic variations in the serotoninergic system made a moderate contribution to individual differences in BMI among a healthy Chinese sample, suggesting that a similar approach can be used to study obesity.

  20. A Comprehensive Analysis of Body Mass Index Effect on in Vitro Fertilization Outcomes.

    Science.gov (United States)

    Sarais, Veronica; Pagliardini, Luca; Rebonato, Giorgia; Papaleo, Enrico; Candiani, Massimo; Viganò, Paola

    2016-02-23

    The effect of a raised body mass index (BMI) on the outcome of assisted reproduction technology (ART) still represents a controversial issue. Even less clear is whether BMI acts with a potential detrimental effect on IVF outcomes via a deleterious effect on innate quality of oocytes or on the environmental milieu within the uterus. With the aim to better understand the mechanisms underlying the potential deleterious effect of an increased BMI on IVF outcomes, we have evaluated the effects of female BMI on number and quality of retrieved oocytes, fertilization rate, embryo score and incidences of ongoing pregnancy and live births among couples undergoing IVF in an Italian population. Data from 1602 women who underwent their first IVF cycle were retrospectively analyzed. A significantly reduced percentage of mature oocytes when comparing obese (BMI ≥ 30 kg/m²) and normal-weight patients (BMI = 18.50-24.99 kg/m²) was found. After adjusting for maternal age and other confounders, odds for ongoing pregnancy rate showed no differences across different BMI categories. However, a significant increased odds ratio (OR) could be observed for miscarriage rate in patients with BMI ≥ 25 (OR = 2.5; p = 0.04). These results should be taken into account in order to define optimal strategies for overweight and obese patients referring to ART procedures.

  1. Misclassification of cardiometabolic health when using body mass index categories in NHANES 2005-2012.

    Science.gov (United States)

    Tomiyama, A J; Hunger, J M; Nguyen-Cuu, J; Wells, C

    2016-05-01

    The United States Equal Employment Opportunity Commission has proposed rules allowing employers to penalize employees up to 30% of health insurance costs if they fail to meet 'health' criteria, such as reaching a specified body mass index (BMI). Our objective was to examine cardiometabolic health misclassifications given standard BMI categories. Participants (N=40 420) were individuals aged 18+ in the nationally representative 2005-2012 National Health and Nutrition Examination Survey. Using the blood pressure, triglyceride, cholesterol, glucose, insulin resistance and C-reactive protein data, population frequencies/percentages of metabolically healthy versus unhealthy individuals were stratified by BMI. Nearly half of overweight individuals, 29% of obese individuals and even 16% of obesity type 2/3 individuals were metabolically healthy. Moreover, over 30% of normal weight individuals were cardiometabolically unhealthy. There was no significant race-by-BMI interaction, but there was a significant gender-by-BMI interaction, F(4,64)=3.812, P=0.008. Using BMI categories as the main indicator of health, an estimated 74 936 678 US adults are misclassified as cardiometabolically unhealthy or cardiometabolically healthy. Policymakers should consider the unintended consequences of relying solely on BMI, and researchers should seek to improve diagnostic tools related to weight and cardiometabolic health. PMID:26841729

  2. Prevalence of Thinness among Santal Preschool Children Using New Body Mass Index Cut-Off Points

    Directory of Open Access Journals (Sweden)

    Subal Das

    2011-01-01

    Full Text Available A community-based cross-sectional study was undertaken to determine the prevalence of undernutrition using body mass index (BMI among 2–6-year Santal preschool children of Purulia District, West Bengal, India. A total of 251 (116 boys and 135 girls children from 12 villages were measured. Commonly used indicators, that is, weight, height, and BMI, were used to evaluate the nutritional status. More boys (59.5% than girls (53.3%, based on BMI, were undernourished. Significant age differences in weight (=44.29∗∗∗;=3, height (=58.48∗∗∗;=3, and BMI (=3.52∗∗∗;=3 among boys were observed. Similarly, significant differences between ages in mean weight (=56.27∗∗∗;=3, height (=64.76∗∗∗;=3, and BMI (=2.62∗∗∗;=3 were observed among the girls. The present study revealed that the nutritional status of the preschool children of Santal tribal community of these villages was poor with very high rate of thinness in boys and girls (59.5% and 53.3%, resp..

  3. The relationship between internet addiction and body mass index in Turkish adolescents.

    Science.gov (United States)

    Canan, Fatih; Yildirim, Osman; Ustunel, Tuba Yildirim; Sinani, Gjergji; Kaleli, Arzu Hisarvant; Gunes, Cemalettin; Ataoglu, Ahmet

    2014-01-01

    The purpose of this study was to investigate Internet use patterns and Internet addiction among adolescents and to examine the correlation between Internet addiction and eating attitudes and body mass index (BMI). The study was conducted among 1,938 students, aged between 14 and 18 years. The Internet Addiction Test (IAT), the Eating Attitudes Test (EAT), and a sociodemographic query form were used to collect data. According to the IAT, 12.4% of the study sample met the criteria for Internet addiction. A significant positive correlation between BMI and the IAT (r=0.307; pInternet use (r=0.215; pInternet addiction (3.8%) and 90 with average Internet use (5.3%) were found to have a possible eating disorder (p>0.05). No relationship was found between the EAT and the IAT and duration of weekly Internet use. Linear regression analysis revealed a significant independent association of the IAT with BMI (r=0.235; pInternet addiction and BMI. Further studies are needed to describe the causality of this association.

  4. Weight Misperceptions and Racial and Ethnic Disparities in Adolescent Female Body Mass Index

    Directory of Open Access Journals (Sweden)

    Ramona C. Krauss

    2012-01-01

    Full Text Available This paper investigated weight misperceptions as determinants of racial/ethnic disparities in body mass index (BMI among adolescent females using data from the National Survey of Youth 1997. Compared to their white counterparts, higher proportions of black and Hispanic adolescent females underperceived their weight status; that is, they misperceived themselves to have lower weight status compared to their clinically defined weight status. Compared to their black counterparts, higher proportions of white and Hispanic adolescent females misperceived themselves to be heavier than their clinical weight status. Oaxaca-Blinder decomposition analysis showed that accounting for weight misperceptions, in addition to individual and contextual factors, increased the total explained portion of the black-white female BMI gap from 44.7% to 54.3% but only slightly increased the total explained portion of the Hispanic-white gap from 62.8% to 63.1%. Weight misperceptions explained 13.0% of the black-white female BMI gap and 3.3% of the Hispanic-white female BMI gap. The regression estimates showed that weight underperceptions were important determinants of adolescent female BMI, particularly among black and Hispanic adolescents. Education regarding identification and interpretation of weight status may play an important role to help reduce the incidence and racial disparity of female adolescent obesity.

  5. Mammography dose in relation to body mass index, race, and menopausal status

    International Nuclear Information System (INIS)

    Mammography dose increases with compressed breast thickness (CBT), but few studies have examined other correlates of dose. The purpose of this study was to evaluate the relation between factors such as race, age, body mass index (BMI), CBT, and menopausal status and mammography screening dose, measured for 509 women in a US population. A multiple linear regression model was developed for dose, based on consideration of these factors as well as examination characteristics. BMI and number of films during examination were positively related to dose. After adjusting for these factors, high CBT also leads to higher dose. Whites receive lower doses than black women, but differences are slight after controlling for the effects of CBT and BMI, which were significantly higher among black women. Pre-menopausal women receive higher doses, after adjusting for all other factors, than post-menopausal women. Jointly, these factors account for approximately 75% to 80% of the variability in dose among this study population. Because rates of overweight are increasing in the US, average doses from mammography may be increasing as well. (author)

  6. Multislice CT angiography in aortic stent grafting: Relationship between image noise and body mass index

    Energy Technology Data Exchange (ETDEWEB)

    Sun Zhonghua [Discipline of Medical Imaging, Department of Imaging and Applied Physics, Curtin University of Technology, GPO Box U1987, Perth, Western Australia 6845 (Australia)]. E-mail: z.sun@curtin.edu.au

    2007-03-15

    Purpose: To investigate the correlation between image noise and body mass index (BMI) in multislice CT angiography (MSCT) for patients with abdominal aortic aneurysm (AAA) treated with endovascular stent grafts. Materials and methods: Seventeen patients who underwent MSCT following endovascular repair of AAA were included in the study. Image noise (standard deviation of the CT attenuation: S.D.) and signal to noise ratio (SNR) were plotted against BMI to demonstrate the correlation using a linear regression method. Image quality of 3D reconstructions was correlated to the SNR and BMI. Results: The r-value of linear regression between S.D. and BMI was 0.578 (p < 0.05), 0.835 and 0.802 (p < 0.001), respectively, at the level of renal artery, aortic aneurysm and common iliac artery. The r-value of linear regression between SNR and BMI was 0.332, 0.516 and 0.552 (p < 0.05), respectively, at above three levels. Image quality of 3D reconstructions was compromised in five patients and diagnosis was affected in two patients with BMI more than 30. Conclusion: A significant correlation was observed between image noise and BMI in MSCT angiography of endovascular repair of AAA. Our findings are valuable for optimisation of MSCT angiography scanning protocols and reduction of radiation dose in MSCT examinations.

  7. Blood pressure percentiles by age and body mass index for adults.

    Science.gov (United States)

    Hosseini, Mostafa; Baikpour, Masoud; Yousefifard, Mahmoud; Fayaz, Mohammad; Koohpayehzadeh, Jalil; Ghelichkhani, Parisa; Asady, Hadi; Asgari, Fereshteh; Etemad, Koorosh; Rafei, Ali; Gouya, Mohammad Mehdi

    2015-01-01

    Since no comprehensive study has been conducted on blood pressure (BP) percentiles established upon nationally representative sample population of adults, the present study aimed to construct the blood pressure percentiles by age, sex and body mass index (BMI) of the subjects. Analyses were based on data collected in 2011 from 8,425 adults aged 25 to 69 years old. Data on demographic characteristics, anthropometric measurements, and blood pressure was recorded for each subject. Linear Regression analysis was used to assess the adjusted relationship of age-sex-specific standard deviation scores of BMI, height, and weight with blood pressure. Four separate models for systolic blood pressure (SBP) and diastolic blood pressure (DBP) of men and women were constructed for BP percentiles according to age and BMI. Blood pressure increased with the rise in BMI and weight, but showed a negative correlation with height. SBP and DBP rose steadily with increasing age, but the rise in SBP was greater than DBP. Overweight and obese population, seem to fall into the category of hypertensive. The findings of present study show that BP percentiles are steadily increased by age and BMI. In addition, most obese or overweight adults are hypertensive. PMID:26417366

  8. The relationship between maternal pregestational body mass index and head circumference of infants

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    Negin Rezavand

    2014-03-01

    Full Text Available Background: The infantile head circumference is an accepted criterion for measurement of fetal development that has a direct association with development of the nervous system. Maternal body mass index (BMI is an important determining factor that can be useful for the mother’s metabolic state and growth modulation. The present study investigated the relationship between infantile head circumference and maternal pregestational BMI. Methods: In this descriptive-analytical study, 366 women with singleton term pregnancy (37 to 41 weeks and normal delivery in Imam Reza and Motazedi Hospitals of Kermanshah University of Medical Science were studied. Maternal pregestational BMI was calculated by pregestational weight and height. Then, the relationship between infantile head circumference and maternal BMI was studied. Results: There was not any statistically significant correlation between familial marriage, smoking, gestational age, parity and gender, and the variables under study. However, there was a statistically significant correlation between infantile head circumference, infantile BMI ratio, and maternal pregestational BMI. Also, there was a significant correlation between the maternal age and newborn's head circumference. Conclusion: The results of this study showed that infantile head circumference in mothers with high BMI was higher than in mothers with normal and low BMI. Furthermore, the findings revealed no significant correlation between gestational age, infantile growth and maternal education level. Considering the importance of this topic, further investigations are required to study the relationship between fetal growth and maternal BMI.

  9. Body Mass Index: A Risk Factor for Retinopathy in Type 2 Diabetic Patients

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    Snježana Kaštelan

    2013-01-01

    Full Text Available The aim of the study was to investigate whether body mass index (BMI independently or in correlation with other risk factors is associated with diabetic retinopathy (DR progression. The study included 545 patients with type 2 diabetes. According to DR status, they were divided into three groups: group 1 (no retinopathy; n=296, group 2 (mild/moderate nonproliferative DR; n=118, and group 3 (severe/very severe NPDR or proliferative DR; n=131. Patients without DR were younger than those with signs of retinopathy at time of diabetes onset whilst diabetes duration was longer in groups with severe NPDR and PDR. DR progression was correlated with diabetes duration, BMI, HbA1c, hypertension, and cholesterol. Statistical analyses showed that the progression of retinopathy increased significantly with higher BMI (gr. 1: 26.50 ± 2.70, gr. 2: 28.11 ± 3.00, gr. 3: 28.69 ± 2.50; P<0.01. We observed a significant deterioration of HbA1c and a significant increase in cholesterol and hypertension with an increase in BMI. Correlation between BMI and triglycerides was not significant. Thus, BMI in correlation with HbA1c cholesterol and hypertension appears to be associated with the progression of DR in type 2 diabetes and may serve as a predictive factor for the development of this important cause of visual loss in developed countries.

  10. Arachidonate 5-lipoxygenase (ALOX5) gene polymorphism is associated with Alzheimer's disease and body mass index.

    Science.gov (United States)

    Šerý, Omar; Hlinecká, Lýdia; Povová, Jana; Bonczek, Ondřej; Zeman, Tomáš; Janout, Vladimír; Ambroz, Petr; Khan, Naim A; Balcar, Vladimir J

    2016-03-15

    Dementias of old age, in particular Alzheimer's disease (AD), pose a growing threat to the longevity and quality of life of individuals as well as whole societies world-wide. The risk factors are both genetic and environmental (life-style) and there is an overlap with similar factors predisposing to cardiovascular diseases (CVD). Using a case-control genetic approach, we have identified a SNP (rs10507391) in ALOX5 gene, previously associated with an increased risk of stroke, as a novel genetic risk factor for AD. ALOX5 gene encodes a 5'-lipoxygenase (5'-LO) activating protein (FLAP), a crucial component of the arachidonic acid/leukotriene inflammatory cascade. A-allele of rs4769874 polymorphism increases the risk of AD 1.41-fold (p<0.0001), while AA genotype does so 1.79-fold (p<0.0001). In addition, GG genotype of rs4769874 polymorphism is associated with a modest increase in body mass index (BMI). We discuss potential biochemical mechanisms linking the SNP to AD and suggest possible preventive pharmacotherapies some of which are based on commonly available natural products. Finally, we set the newly identified AD risk factors into a broader context of similar CVD risk factors to generate a more comprehensive picture of interacting genetics and life-style habits potentially leading to the deteriorating mental health in the old age. PMID:26944113

  11. Late Sleeping Affects Sleep Duration and Body Mass Index in Adolescents

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    Rajesh G.Kathrotia1,

    2010-03-01

    Full Text Available During adolescence, there is a tendency to sleep late andsleep less because of altered psychosocial and life-stylechanges. Recent studies have demonstrated the link betweensleeping less and gaining weight in children, adolescents, andadults. We studied the effect of late sleeping and sleepingless on body mass index (BMI in medical college freshmen.All participants were adolescents (104 male and 38 femaleadolescents, mean age 17.77±0.79 years. After obtaininginformed consent, they filled out a questionnaire about theirsleeping habits. Height and weight were measured after abrief history taking and clinical examination. BMI increasedsignificantly with decrease in total sleep duration and withdelayed bedtime. Late sleeping individuals (after midnighthad significantly less sleep duration (6.78 hours v 7.74 hours,P<0.001, more day time sleepiness (85.2% v 69.3%,P=0.033 and more gap between dinner time and going tosleep (234.16 min v 155.45 min, P<0.001. Increased BMI inlate sleepers may be explained by low physical activity duringthe day caused by excess sleepiness and increased calorieintake with a gap of 5-6 hours between dinner and sleep.Sleep habits of late sleeping and sleeping less contribute toincrease BMI in adolescents.

  12. Measuring intra-household health inequality: explorations using the body mass index.

    Science.gov (United States)

    Sahn, David E; Younger, Stephen D

    2009-04-01

    This paper examines the relationship between level of well-being and inequality at inter-country and intra-household levels, using individuals' body mass index (BMI) rather than income as the indicator of well-being. BMI is useful for these purposes because (1) it is measured at the individual rather than household level; (2) it reflects command over food, but also non-food resources that affect health status like sanitary conditions and labour-saving technologies; (3) it accounts for caloric consumption relative to needs; (4) it is easily measured; and (5) any measurement error is likely to be random. We do not find any evidence to support the idea of an intra-household or inter-country Kuznets curve. We study the correlations between average household well-being, still measured by BMI, and differences in the BMIs of males and females, parents and children. Here, we find a tendency to protect the BMI of young children when living standards are very low. We find no clear patterns by gender. Perhaps the most striking finding in the paper is that about half of total BMI inequality at the country level is within households. Thus, standard measures of inequality that use household-level data may drastically understate true inequality.

  13. Child temperament and maternal predictors of preschool children's eating and body mass index. A prospective study.

    Science.gov (United States)

    Bergmeier, Heidi; Skouteris, Helen; Horwood, Sharon; Hooley, Merrilyn; Richardson, Ben

    2014-03-01

    Research has previously identified relationships between child temperament and BMI during childhood. However, few studies have addressed the broader implications of child temperament on the development of obesogenic risk factors, such as maternal feeding, child eating and body mass index (BMI) of pre-schoolers. Hence, the current study evaluated cross-sectional and prospective associations between child temperament, maternal feeding, maternal parenting styles, mother-child interaction, preschoolers' eating behaviours and BMI. Child irritability, cooperation-manageability and easy-difficult temperaments, mother-child dysfunctional interaction, maternal pressure to eat and restriction were significantly cross-sectionally associated with child eating behaviours. Child enjoyment of food was significantly associated with child BMI. Child easy-difficult temperament and mother-child dysfunctional interaction predicted child eating behaviours longitudinally and baseline child BMI measures predicted child BMI longitudinally. Average maternal ratings of child temperament were relatively neutral, potentially explaining why most associations were not robust longitudinally. Future research should include a sample of greater socio-economic and BMI diversity as well as objective measures of child temperament, diet composition, maternal feeding practices, and mother-child interaction. PMID:24345325

  14. A Comprehensive Analysis of Body Mass Index Effect on in Vitro Fertilization Outcomes

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    Veronica Sarais

    2016-02-01

    Full Text Available The effect of a raised body mass index (BMI on the outcome of assisted reproduction technology (ART still represents a controversial issue. Even less clear is whether BMI acts with a potential detrimental effect on IVF outcomes via a deleterious effect on innate quality of oocytes or on the environmental milieu within the uterus. With the aim to better understand the mechanisms underlying the potential deleterious effect of an increased BMI on IVF outcomes, we have evaluated the effects of female BMI on number and quality of retrieved oocytes, fertilization rate, embryo score and incidences of ongoing pregnancy and live births among couples undergoing IVF in an Italian population. Data from 1602 women who underwent their first IVF cycle were retrospectively analyzed. A significantly reduced percentage of mature oocytes when comparing obese (BMI ≥ 30 kg/m2 and normal-weight patients (BMI = 18.50–24.99 kg/m2 was found. After adjusting for maternal age and other confounders, odds for ongoing pregnancy rate showed no differences across different BMI categories. However, a significant increased odds ratio (OR could be observed for miscarriage rate in patients with BMI ≥ 25 (OR = 2.5; p = 0.04. These results should be taken into account in order to define optimal strategies for overweight and obese patients referring to ART procedures.

  15. Characteristics of infertile patients with ovulatory dysfunction and their relation to body mass index

    International Nuclear Information System (INIS)

    Ovulatory dysfunction is a group of disorders with variable clinical presentations occasionally having serious long-term adverse effects. It accounts for 30% of female fertility problems. Evidence suggests an association between an individual's weight and disorders of ovulation. The objective of our study was to describe the clinical and hormonal profile of subfertile women with ovulatory dysfunction in relation to their body mass index (BMI). Methods: This prospective, descriptive study was carried out in Mother and Child Health Centre, PIMS, Islamabad and Railway hospital, Rawalpindi from April 2001 to March 2007. One hundred and thirty eight infertile patients with ovulatory dysfunction were included. The clinical data including BMI of each patient was recorded in addition to reports of investigations comprised of cervical smear, pelvic ultrasound and hormonal profile. Results: Primary infertility was found in 61% while secondary in 39% of the patients. The mean age was 29 years and mean duration of infertility was 6 years. Menstrual pattern was normal in 56.5%. BMI was normal in 30.4% while most patients were overweight and obese. Prolonged cycles, history of systemic endocrine disorders, abnormal vaginal discharge, hirsutism, polycystic ovarian morphology and hormonal abnormalities were more frequent in patients with increased BMI. During the study period, 21.7% of the women conceived. Conclusion: Infertile patients with ovulatory dysfunction present more frequently with primary infertility. They usually have higher than required BMI. Oligomenorrhoea amenorrhoea, hirsutism and hormonal abnormalities are more frequent in overweight than infertile patients with ovulatory dysfunction having a normal BMI. (author)

  16. Persistence in body mass index in a recent cohort of US children.

    Science.gov (United States)

    Millimet, Daniel L; Tchernis, Rusty

    2015-04-01

    While childhood obesity has become a significant public health concern over the last few decades, and underweight children continue to be a concern, knowledge pertaining to the origins of or persistence in childhood anthropometric measures is incomplete. Here, we utilize several nonparametric metrics to assess the evolution of weight and body mass index (BMI) across the entire distribution during early childhood. We find that movements within the distribution of weight - both upward and downward - are quite high prior to primary school and then decline noticeably. For BMI, we find that movements within the distribution - both upward and downward - are highest at the start of kindergarten and at the start of middle school. However, there are important sources of heterogeneity, including race, gender, and age that should prove insightful to researchers and policymakers. For instance, comparing males versus females who are initially in the bottom quartile of the distribution of BMI, we find that males have a higher probability of moving up at least 10 percentile points between kindergarten and eighth grade (53% versus 50%). Comparisons among racial groups indicate that whites who are initially in the top quartile of the distribution of BMI have a higher probability of moving down at least 10 percentile points between kindergarten and eighth grade than blacks and Hispanics (46% versus 37% and 40%, respectively). PMID:25466866

  17. Walking, body mass index, and self-rated health in a representative sample of Spanish adults

    Directory of Open Access Journals (Sweden)

    Vicente Romo-Perez

    2016-01-01

    Full Text Available Abstract Obesity and physical inactivity (PI are risk factors for chronic diseases and are associated with lifestyle and environmental factors. The study tested the association between PI, body mass index (BMI, and self-rated health in a representative sample of the Spanish adult population (N = 21,486. The sample included 41.5% men, with mean age 52.3 years (± 18.03, and age range 20-82 years. Prevalence of overweight/obesity was 34.2%/12.7% in women and 52.1%/12.7% in men (p < 0.001 for obesity in both sexes. 53% of women and 57.5% of men met recommended levels of physical activity by walking (≥ 150 minutes/week. According to logistic regression analysis, individuals that walked less had higher risk of overweight or obesity. Data from the population-based surveillance study support suggestions that regular walking by adults is associated with positive self-rated health and better BMI profile. Obesity and low/very low self-rated health have low prevalence rates to meet the recommendations.

  18. Higher body mass index is associated with episodic memory deficits in young adults.

    Science.gov (United States)

    Cheke, Lucy G; Simons, Jon S; Clayton, Nicola S

    2016-11-01

    Obesity has become an international health crisis. There is accumulating evidence that excess bodyweight is associated with changes to the structure and function of the brain and with a number of cognitive deficits. In particular, research suggests that obesity is associated with hippocampal and frontal lobe dysfunction, which would be predicted to impact memory. However, evidence for such memory impairment is currently limited. We hypothesised that higher body mass index (BMI) would be associated with reduced performance on a test of episodic memory that assesses not only content, but also context and feature integration. A total of 50 participants aged 18-35 years, with BMIs ranging from 18 to 51, were tested on a novel what-where-when style episodic memory test: the "Treasure-Hunt Task". This test requires recollection of object, location, and temporal order information within the same paradigm, as well as testing the ability to integrate these features into a single event recollection. Higher BMI was associated with significantly lower performance on the what-where-when (WWW) memory task and all individual elements: object identification, location memory, and temporal order memory. After controlling for age, sex, and years in education, the effect of BMI on the individual what, where, and when tasks remained, while the WWW dropped below significance. This finding of episodic memory deficits in obesity is of concern given the emerging evidence for a role for episodic cognition in appetite regulation. PMID:26447832

  19. The Associations of Parenting Factors with Adolescent Body Mass Index in an Underserved Population

    Directory of Open Access Journals (Sweden)

    Elizabeth M. Schneider

    2013-01-01

    Full Text Available Background. The current study examined parental factors related to risk of adolescent obesity within the context of a family systems framework. Methods. Seventy predominantly African American, low-income caregiver-adolescent dyads participated in the study. Validated measures of parental perceived child risk for development of type 2 diabetes mellitus, parental limit setting for sedentary behavior, and parental nurturance were evaluated as predictors of adolescent body mass index. Results. In this cross-sectional study, multiple linear regression demonstrated that parents of adolescents with higher zBMI reported worrying more about their child's risk of developing type 2 diabetes mellitus. Parent limit setting was also a significant predictor of adolescent zBMI. Contrary to expectations, higher levels of nurturance were associated with higher adolescent zBMI. Post hoc analyses revealed a trend towards a significant interaction between nurturance and limit setting, such that high levels of both parental nurturance and limit setting were associated with lower adolescent zBMI. Conclusions. Current findings suggest the importance of authoritative parenting and monitoring of adolescent health behaviors in the treatment of obesity.

  20. A thrifty variant in CREBRF strongly influences body mass index in Samoans

    Science.gov (United States)

    Kershaw, Erin E; Cheng, Hong; Buhule, Olive D; Lin, Jerome; Reupena, Muagututi‘a Sefuiva; Viali, Satupa‘itea; Tuitele, John; Naseri, Take; Urban, Zsolt; Deka, Ranjan; Weeks, Daniel E; McGarvey, Stephen T

    2016-01-01

    Samoans are a unique founder population with a high prevalence of obesity1–3, making them well suited for identifying new genetic contributors to obesity4. We conducted a genome-wide association study (GWAS) in 3,072 Samoans, discovered a variant, rs12513649, strongly associated with body mass index (BMI) (P = 5.3 × 10−14), and replicated the association in 2,102 additional Samoans (P = 1.2 × 10−9). Targeted sequencing identified a strongly associated missense variant, rs373863828 (p.Arg457Gln), in CREBRF (meta P = 1.4 × 10−20). Although this variant is extremely rare in other populations, it is common in Samoans (frequency of 0.259), with an effect size much larger than that of any other known common BMI risk variant (1.36–1.45 kg/m2 per copy of the risk-associated allele). In comparison to wild-type CREBRF, the Arg457Gln variant when overexpressed selectively decreased energy use and increased fat storage in an adipocyte cell model. These data, in combination with evidence of positive selection of the allele encoding p.Arg457Gln, support a ‘thrifty’ variant hypothesis as a factor in human obesity. PMID:27455349

  1. Physical activity, body mass index, and brain atrophy in Alzheimer's disease.

    Science.gov (United States)

    Boyle, Christina P; Raji, Cyrus A; Erickson, Kirk I; Lopez, Oscar L; Becker, James T; Gach, H Michael; Longstreth, W T; Teverovskiy, Leonid; Kuller, Lewis H; Carmichael, Owen T; Thompson, Paul M

    2015-01-01

    The purpose of this study was to use a novel imaging biomarker to assess associations between physical activity (PA), body mass index (BMI), and brain structure in normal aging, mild cognitive impairment, and Alzheimer's dementia. We studied 963 participants (mean age: 74.1 ± 4.4 years) from the multisite Cardiovascular Health Study including healthy controls (n = 724), Alzheimer's dementia patients (n = 104), and people with mild cognitive impairment (n = 135). Volumetric brain images were processed using tensor-based morphometry to analyze regional brain volumes. We regressed the local brain tissue volume on reported PA and computed BMI, and performed conjunction analyses using both variables. Covariates included age, sex, and study site. PA was independently associated with greater whole brain and regional brain volumes and reduced ventricular dilation. People with higher BMI had lower whole brain and regional brain volumes. A PA-BMI conjunction analysis showed brain preservation with PA and volume loss with increased BMI in overlapping brain regions. In one of the largest voxel-based cross-sectional studies to date, PA and lower BMI may be beneficial to the brain across the spectrum of aging and neurodegeneration.

  2. Brain structure and cognitive correlates of body mass index in healthy older adults

    Science.gov (United States)

    Bolzenius, Jacob D.; Laidlaw, David H.; Cabeen, Ryan P.; Conturo, Thomas E.; McMichael, Amanda R.; Lane, Elizabeth M.; Heaps, Jodi M.; Salminen, Lauren E.; Baker, Laurie M.; Scott, Staci E.; Cooley, Sarah A.; Gunstad, John; Paul, Robert H.

    2014-01-01

    Obesity, commonly measured with body mass index (BMI), is associated with numerous deleterious health conditions including alterations in brain integrity related to advanced age. Prior research has suggested that white matter integrity observed using diffusion tensor imaging (DTI) is altered in relation to high BMI, but the integrity of specific white matter tracts remains poorly understood. Additionally, no studies have examined white matter tract integrity in conjunction with neuropsychological evaluation associated with BMI among older adults. The present study examined white matter tract integrity using DTI and cognitive performance associated with BMI in 62 healthy older adults (20 males, 42 females) aged 51 to 81. Results revealed that elevated BMI was associated with lower fractional anisotropy (FA) in the uncinate fasciculus, though there was no evidence of an age by BMI interaction relating to FA in this tract. No relationships were observed between BMI and other white matter tracts or cognition after controlling for demographic variables. Findings suggest that elevated BMI is associated with lower structural integrity in a brain region connecting frontal and temporal lobes and this alteration precedes cognitive dysfunction. Future studies should examine biological mechanisms that mediate the relationships between BMI and white matter tract integrity, as well as the evolution of these abnormalities utilizing longitudinal designs. PMID:25448431

  3. Body mass index and risk of subtypes of head-neck cancer: the Netherlands Cohort Study.

    Science.gov (United States)

    Maasland, Denise H E; van den Brandt, Piet A; Kremer, Bernd; Schouten, Leo J

    2015-12-04

    Low body mass index (BMI) has been associated with risk of head-neck cancer (HNC), but prospective data are scarce. We investigated the association between BMI, BMI at age 20 years and change in BMI during adulthood with risk of HNC and HNC subtypes. 120,852 participants completed a questionnaire on diet and other cancer risk factors, including anthropometric measurements, at baseline in 1986. After 20.3 years of follow-up, 411 HNC (127 oral cavity cancer (OCC), 84 oro-/hypopharyngeal cancer (OHPC), and 197 laryngeal cancer (LC)) cases and 3,980 subcohort members were available for case-cohort analysis using Cox proportional hazards models. BMI at baseline was inversely associated with risk of HNC overall, with a multivariate rate ratio of 3.31 (95% CI 1.40-7.82) for subjects with a BMI risk appeared to be positive. In this large prospective cohort study, we found an inverse association between BMI at baseline and HNC risk. For BMI at age 20, however, a positive rather than inverse association was found.

  4. Discordant effect of body mass index on bone mineral density and speed of sound

    Directory of Open Access Journals (Sweden)

    Hagag Philippe

    2003-07-01

    Full Text Available Abstract Background Increased BMI may affect the determination of bone mineral density (BMD by dual X-ray absorptiometry (DXA and speed of sound (SOS measured across bones. Preliminary data suggest that axial SOS is less affected by soft tissue. The purpose of this study is to evaluate the effect of body mass index (BMI on BMD and SOS measured along bones. Methods We compared axial BMD determined by DXA with SOS along the phalanx, radius and tibia in 22 overweight (BMI > 27 kg/m2, and 11 lean (BMI = 21 kg/m2 postmenopausal women. Serum bone specific alkaline phosphatase and urinary deoxypyridinoline excretion determined bone turnover. Results Mean femoral neck – but not lumbar spine BMD was higher in the overweight – as compared with the lean group (0.70 ± 0.82, -0.99 ± 0.52, P P Conclusions The high BMI of postmenopausal women may result in spuriously high BMD. SOS measured along bones may be a more appropriate means for evaluating bones of overweight women.

  5. Effect of physical intimate partner violence on body mass index in low-income adult women

    Directory of Open Access Journals (Sweden)

    Marcela de Freitas Ferreira

    2015-01-01

    Full Text Available This study aimed to assess whether physical intimate partner violence affects the nutritional status of adult women with different levels of body mass index (BMI. This was a population-based cross-sectional study with 625 women selected through complex multistage cluster sampling. Information on physical intimate partner violence was obtained with the Revised Conflict Tactics Scales, and nutritional status was measured as BMI (kg/m2. A quantile regression model was used to assess the effect of physical intimate partner violence at all percentiles of BMI distribution. Physical intimate partner violence occurred in 27.6% of the women (95%CI: 20.0; 35.2. Mean BMI was 27.9kg/m2 (95%CI: 27.1; 28.7. The results showed that physical intimate partner violence was negatively associated with BMI between the 25th and 85th percentiles, corresponding to 22.9 and 31.2kg/m2. The findings support previous studies indicating that physical intimate partner violence can reduce BMI in low-income women.

  6. Body mass index and depressive symptoms in older adults: a cross-lagged panel analysis.

    Directory of Open Access Journals (Sweden)

    Jinseok Kim

    Full Text Available There are conflicting results about the association between body mass index (BMI and depressive symptoms in older adults. The present study examined the relationship between weight and depressive symptoms over time in older adults in South Korea.We used data from three waves of the Korean Longitudinal Study of Aging and ran a series of cross-lagged panel models to test the reciprocal relationship between depressive symptoms and obesity in older Korean adults. We assumed a temporally stable relationship between depressive symptoms and obesity and, thus imposed equality constraints over time.After controlling for the effect of depressive symptoms two years prior, underweight older adults had a higher depressive symptom score than those of normal weight. When controlling for obesity status from two years prior, older adults with higher levels of depressive symptoms were more likely to be underweight and less likely to be overweight than normal weight. The same patterns were observed in data from 2006 to 2008 and from 2008 to 2010.These results show that there is a correlation between depressive symptoms and weight status. In middle-aged and elderly Asian populations, depression can lead to weight loss rather than obesity, and underweight may develop depressive symptoms.

  7. Outcome in Patients with High Body Mass Index following Primary Total Hip Arthroplasty

    Directory of Open Access Journals (Sweden)

    Zuned Hakim

    2015-01-01

    Full Text Available Obesity is becoming a critical problem in the developed world and is associated with an increased incidence of osteoarthritis of the hip. The Oxford Hip Score was used to determine if Body Mass Index (BMI is an independent factor in determining patient outcome following primary total hip arthroplasty (THA. Using data from 353 operations we found that patients with BMI ≥ 30 had an absolute score that was lower preoperatively and postoperatively compared to those with a BMI < 30. There was no difference in pre- and postoperative point score change within each group; Kendall’s rank correlation was 0.00047 (95% CI, −0.073 to 0.074 (p=0.99 and demonstrated no trend. There was no statistically significant difference in change between those with BMI ≥ 30 and < 30 (p=0.65. We suggest that those with a higher BMI be considered for THA as they can expect the same degree of improvement as those with a lower BMI. Given the on-going increase in obesity these findings could be significant for the future of THA.

  8. The Relationship between Body Mass Index and Depression among High School Girls in Ahvaz.

    Science.gov (United States)

    Tashakori, Ashraf; Riahi, Forough; Mohammadpour, Amin

    2016-01-01

    Objective. Today, obesity and depression are two major illnesses that are on the rise all over the world and threaten human health. This research was done to determine the relationship between Body Mass Index (BMI) and depression among Ahvaz high school female students. Method. In a descriptive-analytical study using stratified random sampling, 400 female high school students in academic year of 2013-2014 were picked and their height and weight were measured. BMI was classified based on World Health Organization classification. To assess the severity of depression, Beck depression questionnaire was used. In order to analyze the data, descriptive statistics and Pearson correlation test were used. Results. In terms of BMI 9% of students were slim, 77% were at an acceptable level, and 14% were overweight. Also, the prevalence of depression was 86.20% major depression and 13.79% moderate depression for obese persons, 10.41% major depression and 70.83% moderate depression for overweight persons, 8.78% major depression and 12.97% moderate depression for normal weight persons, and 9% moderate depression for slim persons. The relationship between BMI and depression among high school students is positive and significant (P < 0.001; r = 0.555). Conclusion. There is a positive and significant relationship between BMI and the severity of depression among Ahvaz high school female students. PMID:27689134

  9. Role of Educational Status in Explaining the Association between Body Mass Index and Cognitive Function.

    Science.gov (United States)

    Ho, Yi-Te; Kao, Tung-Wei; Peng, Tao-Chun; Liaw, Fang-Yih; Yang, Hui-Fang; Sun, Yu-Shan; Chang, Yaw-Wen; Chen, Wei-Liang

    2016-02-01

    Preserving physical and cognitive function becomes an important issue as people age. A growing number of studies have found that the correlation between body mass index (BMI) and cognitive function changes in different age groups. It is obvious that higher educational status is linked to higher cognitive function in terms of numerous risk factors that influence cognitive function. This study aimed to investigate the interplay between obesity and cognitive function categorized by different educational status.This study included 5021 participants aged 20 to 59 years who completed 3 neurocognitive function tests, including a simple reaction time test (SRTT), a symbol digit substitution test (SDST), and a serial digit learning test (SDLT) as reported in the National Health and Nutrition Examination Survey (NHANES) III database. The associations between neurocognitive function and BMI were analyzed using multivariate linear regression while controlling for confounders.After adjusting for pertinent covariates in mode 3, the β coefficients in the female participants with more than 12 years of education (interpreted as change of 3 neurocognitive function tests for each increment in BMI) comparing obesity groups to those with normal BMI were 16.2 (P education and female participants with fewer than 12 years of education demonstrated increased impairment as their BMI increased. However, this association was not significant after adjustments.Obese individuals had worse neurocognitive function than those of normal weight or overweight, especially in women with a high educational level.

  10. Child temperament and maternal predictors of preschool children's eating and body mass index. A prospective study.

    Science.gov (United States)

    Bergmeier, Heidi; Skouteris, Helen; Horwood, Sharon; Hooley, Merrilyn; Richardson, Ben

    2014-03-01

    Research has previously identified relationships between child temperament and BMI during childhood. However, few studies have addressed the broader implications of child temperament on the development of obesogenic risk factors, such as maternal feeding, child eating and body mass index (BMI) of pre-schoolers. Hence, the current study evaluated cross-sectional and prospective associations between child temperament, maternal feeding, maternal parenting styles, mother-child interaction, preschoolers' eating behaviours and BMI. Child irritability, cooperation-manageability and easy-difficult temperaments, mother-child dysfunctional interaction, maternal pressure to eat and restriction were significantly cross-sectionally associated with child eating behaviours. Child enjoyment of food was significantly associated with child BMI. Child easy-difficult temperament and mother-child dysfunctional interaction predicted child eating behaviours longitudinally and baseline child BMI measures predicted child BMI longitudinally. Average maternal ratings of child temperament were relatively neutral, potentially explaining why most associations were not robust longitudinally. Future research should include a sample of greater socio-economic and BMI diversity as well as objective measures of child temperament, diet composition, maternal feeding practices, and mother-child interaction.

  11. Evaluering af overensstemmelsen af body condition score og feline body mass index sammenlignet med dual energy X-ray absorptiometry hos katte

    DEFF Research Database (Denmark)

    Falkenberg, Michael; Hølmkjær, Kirsten Madsen; Cronin, Anna;

    2016-01-01

    Formål: Obesitet er et stigende problem blandt katte, og der er derfor brug for nemme, billige og hurtige metoder til vurdering af kattes kropssammensætning i praksis. Indeværende studie sammenligner to klinisk applicerbare metoder: Body condition score (BCS) og feline body mass index (FBMI) mod...

  12. Longitudinal association between body mass index and health-related quality of life.

    Directory of Open Access Journals (Sweden)

    Jacqueline Müller-Nordhorn

    Full Text Available OBJECTIVE: Health-related quality of life (HRQoL is an important outcome in individuals with a high risk for cardiovascular diseases. We investigated the association of HRQoL and body mass index (BMI as an indicator for obesity. DESIGN: Secondary longitudinal analysis of the ORBITAL study, an intervention study which included high-risk cardiovascular primary care patients with hypercholesterolemia and an indication for statin therapy. METHODS: HRQoL was determined with the generic Short Form (SF-12 health status instrument. Body weight and height were assessed at baseline and at months 6, 12, 18, 24, 30, and 36. We used a linear and a linear mixed-effects regression model to investigate the association between BMI and SF-12 summary scores at baseline as well as between change in BMI and SF-12 summary scores over 3 years. We adjusted for age, sex, smoking status, and in the longitudinal analysis also for the study arm and its interaction term with time. RESULTS: Of the 7640 participants who completed the baseline questionnaire, 6726 participants (mean age: 61 years were analyzed. The baseline BMI was inversely associated with physical and mental SF-12 summary scores (β [95% CI] per 1 kg/m2: -0.36 [-0.41; -0.30] and -0.05 [-0.11; -0.00], respectively. A significant association between the change in BMI and physical SF-12 summary scores over time was only present in women (-0.18 [-0.27; -0.09] and only in obese participants (-0.19 [-0.29; -0.10]. A change in BMI was directly associated with mental SF-12 summary scores (0.12 [0.06; 0.19] in the total population. CONCLUSION: Increases in BMI were associated with decreases in physical HRQoL, particularly in obese individuals and in women. In contrast, the mental HRQoL seemed to increase with increasing BMI over time. Thus, body weight management with respect to the HRQoL should be evaluated differentially by sex and body weight status. TRIAL REGISTRATION: ClinicalTrials.gov NCT00379249.

  13. Role of body mass index in colon cancer patients in Taiwan

    Institute of Scientific and Technical Information of China (English)

    Chih-Chien Chin; Yi-Hung Kuo; Chien-Yuh Yeh; Jinn-Shiun Chen; Reiping Tang; Chung-Rong Changchien; Jeng-Yi Wang

    2012-01-01

    AIM:To determine the effect of body mass index (BMI) on the characteristics and overall outcome of colon cancer in Taiwan.METHODS:From January 1995 to July 2003,2138 patients with colon cancer were enrolled in this study.BMI categories (in kg/m2) were established according to the classification of the Department of Health of Taiwan.Postoperative morbidities and mortality,and survival analysis including overall survival (OS),diseasefree survival (DFS),and cancer-specific survival (CSS) were compared across the BMI categories.RESULTS:There were 164 (7.7%) underweight (BMI < 18.5 kg/m2),1109 (51.9%) normal-weight (BMI =18.5-23.9 kg/m2),550 (25.7%) overweight (BMI =24.0-26.9 kg/m2),and 315 (14.7%) obese (BMI ≥27 kg/m2) patients.Being female,apparently anemic,hypoalbuminemic,and having body weight loss was more likely among underweight patients than among the other patients (P < 0.001).Underweight patients had higher mortality rate (P =0.007) and lower OS (P < 0.001) and DFS (P =0.002) than the other patients.OS and DFS did not differ significantly between normal-weight,overweight,and obese patients,while CSS did not differ significantly with the BMI category.CONCLUSION:In Taiwan,BMI does not significantly affect colon-CSS.Underweight patients had a higher rate of surgical mortality and a worse OS and DFS than the other patients.Obesity does not predict a worse survival.

  14. Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index.

    Directory of Open Access Journals (Sweden)

    Shahrad Taheri

    2004-12-01

    Full Text Available BACKGROUND: Sleep duration may be an important regulator of body weight and metabolism. An association between short habitual sleep time and increased body mass index (BMI has been reported in large population samples. The potential role of metabolic hormones in this association is unknown. METHODS AND FINDINGS: Study participants were 1,024 volunteers from the Wisconsin Sleep Cohort Study, a population-based longitudinal study of sleep disorders. Participants underwent nocturnal polysomnography and reported on their sleep habits through questionnaires and sleep diaries. Following polysomnography, morning, fasted blood samples were evaluated for serum leptin and ghrelin (two key opposing hormones in appetite regulation, adiponectin, insulin, glucose, and lipid profile. Relationships among these measures, BMI, and sleep duration (habitual and immediately prior to blood sampling were examined using multiple variable regressions with control for confounding factors. A U-shaped curvilinear association between sleep duration and BMI was observed. In persons sleeping less than 8 h (74.4% of the sample, increased BMI was proportional to decreased sleep. Short sleep was associated with low leptin (p for slope = 0.01, with a predicted 15.5% lower leptin for habitual sleep of 5 h versus 8 h, and high ghrelin (p for slope = 0.008, with a predicted 14.9% higher ghrelin for nocturnal (polysomnographic sleep of 5 h versus 8 h, independent of BMI. CONCLUSION: Participants with short sleep had reduced leptin and elevated ghrelin. These differences in leptin and ghrelin are likely to increase appetite, possibly explaining the increased BMI observed with short sleep duration. In Western societies, where chronic sleep restriction is common and food is widely available, changes in appetite regulatory hormones with sleep curtailment may contribute to obesity.

  15. Effect of gender, facial dimensions, body mass index and type of functional occlusion on bite force

    Directory of Open Access Journals (Sweden)

    Duygu Koç

    2011-06-01

    Full Text Available OBJECTIVE: Some factors such as gender, age, craniofacial morphology, body structure, occlusal contact patterns may affect the maximum bite force. Thus, the purposes of this study were to determine the mean maximum bite force in individuals with normal occlusion, and to examine the effect of gender, facial dimensions, body mass index (BMI, type of functional occlusion (canine guidance and group function occlusion and balancing side interferences on it. MATERIAL AND METHODS: Thirty-four individuals aged 19-20 years-old were selected for this study. Maximum bite force was measured with strain-gauge transducers at first molar region. Facial dimensions were defined by standardized frontal photographs as follows: anterior total facial height (ATFH, bizygomathic facial width (BFW and intergonial width (IGW. BMI was calculated using the equation weight/height². The type of functional occlusion and the balancing side interferences of the subjects were identified by clinical examination. RESULTS: Bite force was found to be significantly higher in men than women (p0.05. BMI and bite force correlation was not statistically significant (p>0.05. The average bite force did not differ in subjects with canine guidance or group function occlusion and in the presence of balancing side interferences (p>0.05. CONCLUSIONS: Data suggest that bite force is affected by gender. However, BMI, type of functional occlusion and the presence of balancing side interferences did not exert a meaningful influence on bite force. In addition, transverse facial dimensions showed correlation with bite force in only men.

  16. CORRELATION BETWEEN BODY MASS INDEX AND HANDGRIP STRENGTH AND HANDGRIP ENDURANCE AMONG YOUNG HEALTHY ADULTS

    Directory of Open Access Journals (Sweden)

    Anupi

    2015-07-01

    Full Text Available BACKGROUND: Physical inactivity has become a serious problem all over the world. Handgrip Strength (a form of isometric static contraction test, is an important test to evaluate the physical fitness and nutritional status of an individua l. A number of factors like a ge, gender, body size, effort, skeletal muscle bulk and contractility may affect the handgrip strength (HGS and handgrip endurance (HGE. AIM: This study was conducted to establish the possible correlation (if any between body mass index and handgrip str ength and endurance among young healthy adults. MATERIALS AND METHODS: A population based cross - sectional study comprising of 200 students (both male and female, age group - 18 - 22 yrs was carried out in the Department of Physiology, Jorhat Medical College. Anthropometric parameters like height and weight were taken to evaluate the BMI and handgrip strength and handgrip endurance were taken by using handgrip dynamometer. According to WHO classification of BMI, subjects were categorized into three groups as un derweight BMI ≤18.5 kg/m 2 , normal weight BMI 18.5 - 24.9 kg/m 2 and overweight BMI≥ 24.9 kg/m 2 . Gender wise difference was analyzed by unpaired t test. Statistical analysis for correlation was done by using Karl Pearson’s Correlation Coefficient denoted by(r. RESULT: Males had higher handgrip strength and handgrip endurance than females. Statistic ally significant correlation was found between BMI and handgrip strength & endurance in underweight & overweight subjects. Gender differences in correlation were observed in correlation between BMI & HGS and HGE. CONCLUSION: The observed influence of BMI a nd gender differences in correlation between BMI and HGS and HGE indicate that besides BMI several other factors like effort, strength, muscular contractility etc . affect muscular strength & endurance in young males and females.

  17. Effect of menopause on lipid profile in relation to body mass index

    Directory of Open Access Journals (Sweden)

    Geetanjali Bade

    2014-01-01

    Full Text Available Background: Menopause is a natural event in the ageing process and signifies the end of reproductive years with cessation of cyclic ovarian function as manifested by cyclic menstruation. Lipid profile is altered in menopause because of various reasons. Objectives: The study was aimed to compare the lipid profile in women with normal body mass index (BMI = 18.9-24.9 and women with BMI = 25-29.9 in both pre- and post-menopausal group. Materials and Methods: Estimation of total cholesterol (TC by CHOD-PAP Cholesterol Oxidase - Peroxidase + Aminophenazone + Phenol method, triglyceride (TG by enzymatic calorimetric method, high density lipoprotein-cholesterol (HDL-C phosphotungstic acid method, low density lipoprotein-cholesterol (LDL-C by using Friedewald formula and very low density lipoprotein (VLDL was done by using the formula -VLDL = TG/5 in 30 women selected in each group. Results: Our study revealed that serum levels of TC, TG and LDL-C were significantly higher in post-menopausal women in comparison to their pre-menopausal counterparts, irrespective of BMI (P < 0.05. Similarly, HDL-C levels were significantly lower in post-menopausal women as compared with pre-menopausal women of similar BMI (P < 0.05. Conclusions: We found that serum levels of TC, TG and LDL-C were significantly higher in post-menopausal women in comparison to their pre-menopausal counterparts, irrespective of BMI. Similarly, HDL-C levels were significantly lower in post-menopausal women as compared to pre-menopausal women of similar BMI. Since we found similar changes in women of different BMIs, the difference in hormonal status is the probable cause of altered lipid profile. Hence, all post-menopausal women irrespective of body weight and BMI should be strongly counseled to have proper physical exercise and dietary habits to avoid the possible cardiovascular complications.

  18. Paternal body mass index (BMI is associated with offspring intrauterine growth in a gender dependent manner.

    Directory of Open Access Journals (Sweden)

    You-Peng Chen

    Full Text Available BACKGROUND: Environmental alternations leading to fetal programming of cardiovascular diseases in later life have been attributed to maternal factors. However, animal studies showed that paternal obesity may program cardio-metabolic diseases in the offspring. In the current study we tested the hypothesis that paternal BMI may be associated with fetal growth. METHODS AND RESULTS: We analyzed the relationship between paternal body mass index (BMI and birth weight, ultrasound parameters describing the newborn's body shape as well as parameters describing the newborns endocrine system such as cortisol, aldosterone, renin activity and fetal glycated serum protein in a birth cohort of 899 father/mother/child triplets. Since fetal programming is an offspring sex specific process, male and female offspring were analyzed separately. Multivariable regression analyses considering maternal BMI, paternal and maternal age, hypertension during pregnancy, maternal total glycated serum protein, parity and either gestational age (for birth weight or time of ultrasound investigation (for ultrasound parameters as confounding showed that paternal BMI is associated with growth of the male but not female offspring. Paternal BMI correlated with birth parameters of male offspring only: birth weight; biparietal diameter, head circumference; abdominal diameter, abdominal circumference; and pectoral diameter. Cortisol was likewise significantly correlated with paternal BMI in male newborns only. CONCLUSIONS: Paternal BMI affects growth of the male but not female offspring. Paternal BMI may thus represent a risk factor for cardiovascular diseases of male offspring in later life. It remains to be demonstrated whether this is linked to an offspring sex specific paternal programming of cortisol secretion.

  19. Maternal prepregnancy body mass index and gestational weight gain on offspring overweight in early infancy.

    Directory of Open Access Journals (Sweden)

    Nan Li

    Full Text Available OBJECTIVE: The aim of the present study was to evaluate the association of maternal prepregnancy body mass index (BMI and gestational weight gain (GWG with anthropometry in the offspring from birth to 12 months old in Tianjin, China. METHODS: Between 2009 and 2011, health care records of 38,539 pregnant women had been collected, and their children had been measured body weight and length at birth, 3, 6, 9 and 12 months of age. The independent and joint associations of pre-pregnancy BMI and GWG based on the Institute of Medicine (IOM guidelines with anthropometry in the offspring were examined using General Linear Model and Logistic Regression. RESULTS: Prepregnancy BMI and maternal GWG were positively associated with Z-scores for birth weight-for-gestational age, birth length-for-gestational age, and birth weight-for-length. Infants born to mothers with excessive GWG had the greatest changes in Z-scores for weight-for-age from birth to Month 3, and from Month 6 to Month 12, and the greatest changes in Z-scores for length-for-age from birth to months 3 and 12 compared with infants born to mothers with adequate GWG. Excessive GWG was associated with an increased risk of offspring overweight or obesity at 12 months old in all BMI categories except underweight. CONCLUSIONS: Maternal prepregnancy overweight/obesity and excessive GWG were associated with greater weight gain and length gain of offspring in early infancy. Excessive GWG was associated with increased infancy overweight and obesity risk.

  20. Combined adverse effects of maternal smoking and high body mass index on heart development in offspring : evidence for interaction?

    NARCIS (Netherlands)

    Baardman, M.E.; Kerstjens-Frederikse, W.S.; Corpeleijn, E.; de Walle, H.E.K.; Hofstra, R.M.W.; Berger, R.M.F.; Bakker, M.K.

    2012-01-01

    Objective To study the influence of a possible interaction between maternal smoking and high body mass index (BMI) on the occurrence of specific congenital heart anomalies (CHA) in offspring. Design Case-control study. Setting Data from a population-based birth defects registry in the Netherlands. P

  1. Body mass index, physical activity and quality of life of ovarian cancer survivors: Time to get moving?

    NARCIS (Netherlands)

    Smits, A.; Smits, E.; Lopes, A.; Das, N.; Hughes, G.; Talaat, A.; Pollard, A.; Bouwman, F.; Massuger, L.F.; Bekkers, R.; Galaal, K.

    2015-01-01

    OBJECTIVE: To evaluate the association between body mass index (BMI), physical activity (PA) and the quality of life (QoL) of ovarian cancer survivors. METHODS: We performed a two-centre cross-sectional study of women who had been treated for ovarian cancer between January 2007 and December 2014 at

  2. Physical activity, diet and gene-environment interactions in relation to body mass index and waist circumference

    DEFF Research Database (Denmark)

    Karnehed, Nina; Tynelius, Per; Heitmann, Berit L;

    2006-01-01

    OBJECTIVE: The aim of the present study was to examine the relationships between genetic susceptibility to obesity, physical activity (PA), dietary fibre, sugar and fat intakes and 4-year changes in body mass index (BMI) and attained waist circumference (WC) in a cohort of 287 monozygotic and 189...

  3. Maternal Predictors of Preschool Child-Eating Behaviours, Food Intake and Body Mass Index: A Prospective Study

    Science.gov (United States)

    McPhie, Skye; Skouteris, Helen; Fuller-Tyszkiewicz, Matthew; McCabe, Marita; Ricciardelli, Lina A.; Milgrom, Jeannette; Baur, Louise A.; Dell'Aquila, Daniela

    2012-01-01

    This study extends McPhie et al. (2011)'s [Maternal correlates of preschool child eating behaviours and body mass index: A cross-sectional study. "International Journal of Pediatric Obesity", Early Online, 1-5.] McPhie et al. (2011)'s cross-sectional research, by prospectively evaluating maternal child-feeding practices, parenting style and…

  4. Body mass index in young school-age children in relation to organochlorine compounds in early life

    DEFF Research Database (Denmark)

    Høyer, B B; Ramlau-Hansen, C H; Henriksen, T B;

    2014-01-01

    OBJECTIVE: To investigate the association between maternal pregnancy and estimated postnatal serum concentrations of the organochlorines 2,2',4,4',5,5'-hexachlorobiphenyl (CB-153) and 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (p,p'-DDE) and body mass index (BMI) z-scores in 5- to 9-year-old ch...

  5. The Role of Motor Competence and Body Mass Index in Children's Activity Levels in Physical Education Classes

    Science.gov (United States)

    Spessato, Barbara Coiro; Gabbard, Carl; Valentini, Nadia C.

    2013-01-01

    Our goal was to investigate the role of body mass index (BMI) and motor competence (MC) in children's physical activity (PA) levels during physical education (PE) classes. We assessed PA levels of 5-to-10-year old children ("n" = 264) with pedometers in four PE classes. MC was assessed using the TGMD-2 and BMI values were classified according to…

  6. Appropriate body mass index cut-offs to determine thinness, overweight and obesity in South Asian children in The Netherlands

    NARCIS (Netherlands)

    Wilde, J.A. de; Dommelen, P. van; Middelkoop, B.J.C.

    2013-01-01

    Background: Asian populations have an increased risk of developing cardiometabolic disorders at a lower body mass index (BMI) than other ethnic groups. Therefore, lower adult BMI cut-offs to determine overweight and obesity are recommended to assess the associated health risks for Asian (23 and 27.5

  7. Dietary determinants of changes in waist circumference adjusted for body mass index - a proxy measure of visceral adiposity

    NARCIS (Netherlands)

    Romaguera, D.; Angquist, L.; Huaidong, D.U.; Jakobsen, M.U.; Forouhi, N.G.; Halkjaer, J.; Feskens, E.J.M.; A, van der D.L.; Masala, G.; Steffen, A.; Palli, D.; Wareham, N.; Overvad, K.; Tjonneland, A.; Boeing, H.; Riboli, E.; Sorensen, T.

    2010-01-01

    Background Given the recognized health effects of visceral fat, the understanding of how diet can modulate changes in the phenotype “waist circumference for a given body mass index (WCBMI)”, a proxy measure of visceral adiposity, is deemed necessary. Hence, the objective of the present study was to

  8. Genetic variation at CHRNA5-CHRNA3-CHRNB4 interacts with smoking status to influence body mass index

    DEFF Research Database (Denmark)

    Freathy, Rachel M; Kazeem, Gbenga R; Morris, Richard W;

    2011-01-01

    Cigarette smoking is associated with lower body mass index (BMI), and a commonly cited reason for unwillingness to quit smoking is a concern about weight gain. Common variation in the CHRNA5-CHRNA3-CHRNB4 gene region (chromosome 15q25) is robustly associated with smoking quantity in smokers, but ...

  9. Effects of a Two-Month Training Period on Soldiers’ General Health, Social Physique Anxiety, and Body Mass Index

    Directory of Open Access Journals (Sweden)

    Dehghanizade

    2016-01-01

    Full Text Available Background Changes in the environment and living conditions are associated with changes in physical and cognitive functions. Objectives The aim of this study was to examine the effects of a two-month military service period on soldiers’ general health, social physique anxiety, and body mass index. Materials and Methods: The sample included all soldiers in Isfahan’s army garrison training period. A 28-item questionnaire on general health, a social physique anxiety questionnaire (Hart et al. 1989 that measured the social physical anxiety and the ratio of weight to the height square calculating body mass index. Results The results of the paired t-test showed that there were significant differences in pre-test and post-test scores on the general health aspects of anxiety and social physique anxiety and there were no significant differences in other aspects of soldiers’ general health and body mass index. This suggests that the two-month training period affects only the variables of anxiety (anxiety, insomnia, and social physique anxiety. Conclusions The findings showed that the military training period can significantly affect anxiety, but it cannot affect the health and body mass index.

  10. Self-reported and measured weight, height and body mass index (BMI) in Italy, the Netherlands and North America

    NARCIS (Netherlands)

    Krul, A.J.; Daanen, H.A.M.; Choi, H.

    2011-01-01

    Background: Self-reported values of height and weight are used increasingly despite warnings that these data - and derived body mass index (BMI) values - might be biased. The present study investigates whether differences between self-reported and measured values are the same for populations from di

  11. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies.

    NARCIS (Netherlands)

    Whitlock, G.; Lewington, S.; Sherliker, P.; Clarke, R.; Kromhout, D.

    2009-01-01

    Background - The main associations of body-mass index (BMI) with overall and cause-specific mortality can best be assessed by long-term prospective follow-up of large numbers of people. The Prospective Studies Collaboration aimed to investigate these associations by sharing data from many studies. M

  12. Dietary determinants of changes in waist circumference adjusted for body mass index - a proxy measure of visceral adiposity

    DEFF Research Database (Denmark)

    Romaguera, Dora; Ängquist, Lars Henrik; Du, Huaidong;

    2010-01-01

    Given the recognized health effects of visceral fat, the understanding of how diet can modulate changes in the phenotype "waist circumference for a given body mass index (WC(BMI))", a proxy measure of visceral adiposity, is deemed necessary. Hence, the objective of the present study was to assess...

  13. Increased body mass index predicts severity of asthma symptoms but not objective asthma traits in a large sample of asthmatics

    DEFF Research Database (Denmark)

    Bildstrup, Line; Backer, Vibeke; Thomsen, Simon Francis

    2015-01-01

    AIM: To examine the relationship between body mass index (BMI) and different indicators of asthma severity in a large community-based sample of Danish adolescents and adults. METHODS: A total of 1186 subjects, 14-44 years of age, who in a screening questionnaire had reported a history of airway...

  14. Body mass index and victimization during adolescence: The mediation role of depressive symptoms and self-esteem

    NARCIS (Netherlands)

    Giletta, M.; Scholte, R.H.J.; Engels, R.C.M.E.; Larsen, J.K.

    2010-01-01

    Objective This study applied a multi-method approach to examine the relationship between body mass index (BMI) and the experience of victimization during adolescence by investigating the role of intrapersonal feelings. Methods The sample consisted of 2051 adolescents (M=13.8 years, S.D.=0.7; 51% mal

  15. Pregnancy outcomes related to gestational weight gain in women defined by their body mass index, parity, height, and smoking status

    DEFF Research Database (Denmark)

    Nøhr, Ellen Aagaard; Vaeth, Michael; Baker, Jennifer L;

    2009-01-01

    BACKGROUND: Recommendations for gestational weight gain (GWG) account for a woman's prepregnancy body mass index (BMI), but other factors may be important. OBJECTIVES: The objectives were to investigate whether, within BMI categories, the GWG with the lowest risks to mother and infant varied with...

  16. Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)

    NARCIS (Netherlands)

    De, Rishika; Verma, Shefali S; Drenos, Fotios; Holzinger, Emily R; Holmes, Michael V; Hall, Molly A; Crosslin, David R; Carrell, David S; Hakonarson, Hakon; Jarvik, Gail; Larson, Eric; Pacheco, Jennifer A; Rasmussen-Torvik, Laura J; Moore, Carrie B; Asselbergs, Folkert W; Moore, Jason H; Ritchie, Marylyn D; Keating, Brendan J; Gilbert-Diamond, Diane

    2015-01-01

    BACKGROUND: Despite heritability estimates of 40-70 % for obesity, less than 2 % of its variation is explained by Body Mass Index (BMI) associated loci that have been identified so far. Epistasis, or gene-gene interactions are a plausible source to explain portions of the missing heritability of BMI

  17. Glycation associated skin autofluorescence and skin elasticity are related to chronological age and body mass index of healthy subjects

    OpenAIRE

    Corstjens, H.; Dicanio, D.; Muizzuddin, N.; Neven, A.; Sparacio, R.; Declercq, L; D. Maes

    2008-01-01

    Glycation associated skin autofluorescence and skin elasticity are related to chronological age and body mass index of healthy subjects correspondence: Corresponding author. Tel.: +32 14 25 89 04; fax: +32 14 25 88 60. (Corstjens, H.) (Corstjens, H.) Estee Lauder Companies--> , Oevel--> - BELGIUM (Corstjens, H.) BELGIUM (Corstjens, H.) Estee Lauder Companies--> , Melville--> ,...

  18. Socio-Cognitive and Nutritional Factors Associated with Body Mass Index in Children and Adolescents: Possibilities for Childhood Obesity Prevention

    Science.gov (United States)

    O'Dea, Jennifer A.; Wilson, Rachel

    2006-01-01

    A large national study of schoolchildren aged 6-18 years was conducted to assess nutritional and socio-cognitive factors associated with body mass index (BMI). A questionnaire was used to assess nutritional quality of breakfast, importance of physical activity and food variety score, among 4441 students from randomly selected schools in all states…

  19. Contribution of common non-synonymous variants in PCSK1 to body-mass index variation and risk of obesity

    DEFF Research Database (Denmark)

    Nead, Kevin T; Li, Aihua; Wehner, Mackenzie R;

    2015-01-01

    Polymorphisms rs6232 and rs6234/rs6235 in PCSK1 have been associated with extreme obesity (e.g. body mass index [BMI]≥40 kg/m(2)), but their contribution to common obesity (BMI≥30 kg/m(2)) and BMI variation in a multi-ethnic context is unclear. To fill this gap, we collected phenotypic and genetic...

  20. The association of education with body mass index and waist circumference in the EPIC-PANACEA study

    NARCIS (Netherlands)

    S. Hermann; S. Rohrmann; J. Linseisen; A.M. May; A. Kunst; H. Besson; D. Romaguera; N. Travier; M.J. Tormo; E. Molina; M. Dorronsoro; A. Barricarte; L. Rodriguez; F.L. Crowe; K.T. Khaw; N.J. Wareham; P.G.A. van Boeckel; H.B. Bueno-de-Mesquita; K. Overvad; M.U. Jakobsen; A. Tjonneland; J. Halkjaer; C. Agnoli; A. Mattiello; R. Tumino; G. Masala; P. Vineis; A. Naska; P. Orfanos; A. Trichopoulou; R. Kaaks; M.M. Bergmann; A. Steffen; B. van Guelpen; I. Johansson; S. Borgquist; J. Manjer; T. Braaten; G. Fagherazzi; F. Clavel-Chapelon; T. Mouw; T. Norat; E. Riboli; S. Rinaldi; N. Slimani; P.H.M. Peeters

    2011-01-01

    Background: To examine the association of education with body mass index (BMI) and waist circumference (WC) in the European Prospective Investigation into Cancer and Nutrition (EPIC). Method: This study included 141,230 male and 336,637 female EPIC-participants, who were recruited between 1992 and 2

  1. Peer Victimization as a Predictor of Depression and Body Mass Index in Obese and Non-Obese Adolescents

    Science.gov (United States)

    Adams, Ryan E.; Bukowski, William M.

    2008-01-01

    Background: The current study examined the pathway from peer victimization to depressive symptoms and body mass index (BMI) as mediated by self-concept for physical appearance in both obese and non-obese adolescents. It was thought that this pathway would be particularly important for obese adolescents because, compared to non-obese adolescents,…

  2. Effect of Physically Active Academic Lessons on Body Mass Index and Physical Fitness in Primary School Children

    Science.gov (United States)

    de Greeff, Johannes W.; Hartman, Esther; Mullender-Wijnsma, Marijke J.; Bosker, Roel J.; Doolaard, Simone; Visscher, Chris

    2016-01-01

    Background: Preventing overweight and improving physical fitness in primary school children is a worldwide challenge, and physically active intervention programs usually come with the cost of academic instruction time. This study aimed to investigate effects of physically active academic lessons on body mass index (BMI) and physical fitness in…

  3. The Effect of Regular Breakfast on Body Mass Index in 9- to 10-Year-Old Czech Children

    Science.gov (United States)

    Klimesova, Iva; Miklankova, Ludmila; Stelzer, Jiri; Ernest, James

    2016-01-01

    Background: Eating habits play a crucial role in weight control management; however, little research has examined whether frequency of breakfast consumption influences body mass index (BMI) in middle childhood. Purpose: The purpose of this study was to (a) determine the relationship between BMI and the frequency of breakfast consumption, (b)…

  4. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry

    NARCIS (Netherlands)

    Monda, Keri L.; Chen, Gary K.; Taylor, Kira C.; Palmer, Cameron; Edwards, Todd L.; Lange, Leslie A.; Ng, Maggie C. Y.; Adeyemo, Adebowale A.; Allison, Matthew A.; Bielak, Lawrence F.; Chen, Guanjie; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo; Liu, Yongmei; Liu, Youfang; Lu, Yingchang; Nalls, Michael A.; Sun, Yan V.; Wojczynski, Mary K.; Yanek, Lisa R.; Aldrich, Melinda C.; Ademola, Adeyinka; Amos, Christopher I.; Bandera, Elisa V.; Bock, Cathryn H.; Britton, Angela; Broeckel, Ulrich; Cai, Quiyin; Caporaso, Neil E.; Carlson, Chris S.; Carpten, John; Casey, Graham; Chen, Wei-Min; Chen, Fang; Chen, Yii-Der I.; Chiang, Charleston W. K.; Coetzee, Gerhard A.; Demerath, Ellen; Deming-Halverson, Sandra L.; Driver, Ryan W.; Dubbert, Patricia; Feitosa, Mary F.; Feng, Ye; Freedman, Barry I.; Gillanders, Elizabeth M.; Gottesman, Omri; Guo, Xiuqing; Haritunians, Talin; Harris, Tamara; Harris, Curtis C.; Hennis, Anselm J. M.; Hernandez, Dena G.; McNeill, Lorna H.; Howard, Timothy D.; Howard, Barbara V.; Howard, Virginia J.; Johnson, Karen C.; Kang, Sun J.; Keating, Brendan J.; Kolb, Suzanne; Kuller, Lewis H.; Kutlar, Abdullah; Langefeld, Carl D.; Lettre, Guillaume; Lohman, Kurt; Lotay, Vaneet; Lyon, Helen; Manson, Joann E.; Maixner, William; Meng, Yan A.; Monroe, Kristine R.; Morhason-Bello, Imran; Murphy, Adam B.; Mychaleckyj, Josyf C.; Nadukuru, Rajiv; Nathanson, Katherine L.; Nayak, Uma; N'Diaye, Amidou; Nemesure, Barbara; Wu, Suh-Yuh; Leske, M. Cristina; Neslund-Dudas, Christine; Neuhouser, Marian; Nyante, Sarah; Ochs-Balcom, Heather; Ogunniyi, Adesola; Ogundiran, Temidayo O.; Ojengbede, Oladosu; Olopade, Olufunmilayo I.; Palmer, Julie R.; Ruiz-Narvaez, Edward A.; Palmer, Nicholette D.; Press, Michael F.; Rampersaud, Evandine; Rasmussen-Torvik, Laura J.; Rodriguez-Gil, Jorge L.; Salako, Babatunde; Schadt, Eric E.; Schwartz, Ann G.; Shriner, Daniel A.; Siscovick, David; Smith, Shad B.; Wassertheil-Smoller, Sylvia; Speliotes, Elizabeth K.; Spitz, Margaret R.; Sucheston, Lara; Taylor, Herman; Tayo, Bamidele O.; Tucker, Margaret A.; Van Den Berg, David J.; Edwards, Digna R. Velez; Wang, Zhaoming; Wiencke, John K.; Winkler, Thomas W.; Witte, John S.; Wrensch, Margaret; Wu, Xifeng; Yang, James J.; Levin, Albert M.; Young, Taylor R.; Zakai, Neil A.; Cushman, Mary; Zanetti, Krista A.; Zhao, Jing Hua; Zhao, Wei; Zheng, Yonglan; Zhou, Jie; Ziegler, Regina G.; Zmuda, Joseph M.; Fernandes, Jyotika K.; Gilkeson, Gary S.; Kamen, Diane L.; Hunt, Kelly J.; Spruill, Ida J.; Ambrosone, Christine B.; Ambs, Stefan; Arnett, Donna K.; Atwood, Larry; Becker, Diane M.; Berndt, Sonja I.; Bernstein, Leslie; Blot, William J.; Borecki, Ingrid B.; Bottinger, Erwin P.; Bowden, Donald W.; Burke, Gregory; Chanock, Stephen J.; Cooper, Richard S.; Ding, Jingzhong; Duggan, David; Evans, Michele K.; Fox, Caroline; Garvey, W. Timothy; Bradfield, Jonathan P.; Hakonarson, Hakon; Grant, Struan F. A.; Hsing, Ann; Chu, Lisa; Hu, Jennifer J.; Huo, Dezheng; Ingles, Sue A.; John, Esther M.; Jordan, Joanne M.; Kabagambe, Edmond K.; Kardia, Sharon L. R.; Kittles, Rick A.; Goodman, Phyllis J.; Klein, Eric A.; Kolonel, Laurence N.; Le Marchand, Loic; Liu, Simin; McKnight, Barbara; Millikan, Robert C.; Mosley, Thomas H.; Padhukasahasram, Badri; Williams, L. Keoki; Patel, Sanjay R.; Peters, Ulrike; Pettaway, Curtis A.; Peyser, Patricia A.; Psaty, Bruce M.; Redline, Susan; Rotimi, Charles N.; Rybicki, Benjamin A.; Sale, Michele M.; Schreiner, Pamela J.; Signorello, Lisa B.; Singleton, Andrew B.; Stanford, Janet L.; Strom, Sara S.; Thun, Michael J.; Vitolins, Mara; Zheng, Wei; Moore, Jason H.; Williams, Scott M.; Ketkar, Shamika; Zhu, Xiaofeng; Zonderman, Alan B.; Kooperberg, Charles; Papanicolaou, George J.; Henderson, Brian E.; Reiner, Alex P.; Hirschhorn, Joel N.; Loos, Ruth J. F.; North, Kari E.; Haiman, Christopher A.

    2013-01-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up t

  5. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies

    DEFF Research Database (Denmark)

    NN, NN; Whitlock, Gary; Lewington, Sarah;

    2009-01-01

    BACKGROUND: The main associations of body-mass index (BMI) with overall and cause-specific mortality can best be assessed by long-term prospective follow-up of large numbers of people. The Prospective Studies Collaboration aimed to investigate these associations by sharing data from many studies....

  6. Interactions between MAOA Genotype and Receipt of Public Assistance: Predicting Change in Depressive Symptoms and Body Mass Index

    Science.gov (United States)

    Marmorstein, Naomi R.; Hart, Daniel

    2011-01-01

    Response to stress is determined in part by genetically influenced regulation of the monoamine system (MAOA). We examined the interaction of a stressor (receipt of public assistance) and a gene regulating MAOA in the prediction of change in adolescent depressive symptoms and body mass index (BMI). Participants were drawn from the National…

  7. The role of body mass index, insulin, and adiponectin in the relation between fat distribution and bone mineral density

    NARCIS (Netherlands)

    M.C. Zillikens (Carola); A.G. Uitterlinden (André); J.P.T.M. van Leeuwen (Hans); A.L. Berends (Anne); P. Henneman (Peter); J.A.P. Willems van Dijk (Ko); B.A. Oostra (Ben); C.M. van Duijn (Cock); H.A.P. Pols (Huib); F. Rivadeneira Ramirez (Fernando)

    2010-01-01

    textabstractDespite the positive association between body mass index (BMI) and bone mineral density (BMD) and content (BMC), the role of fat distribution in BMD/BMC remains unclear. We examined relationships between BMD/BMC and various measurements of fat distribution and studied the role of BMI, in

  8. Stagnation in body mass index in Denmark from 1997/1998 to 2004/2005, but with geographical diversity

    DEFF Research Database (Denmark)

    Svendstrup, Mathilde; Knudsen, Nils Jacob; Jørgensen, Torben;

    2011-01-01

    INTRODUCTION: We analyzed the trend in body mass index (BMI) as well as in the prevalence of overweight and obesity among Danish adults, mainly women, from 1997/1998 to 2004/2005 and evaluated any regional differences. MATERIAL AND METHODS: Data were drawn from two cross-sectional population-base...

  9. Child's Weight Status and Parent's Response to a School-Based Body Mass Index Screening and Parent Notification Program

    Science.gov (United States)

    Lee, Jiwoo; Kubik, Martha Y.

    2015-01-01

    This study examined the response of parents of elementary school-aged children to a school-based body mass index (BMI) screening and parent notification program conducted in one Minnesota school district in 2010-2011 and whether parent's response was moderated by child's weight status. Randomly selected parents (N = 122) of second- and…

  10. Maternal Pre-Pregnancy Body Mass Index and Offspring Temperament and Behavior at 1 and 2 Years of Age

    Science.gov (United States)

    Van Lieshout, Ryan J.; Schmidt, Louis A.; Robinson, Monique; Niccols, Alison; Boyle, Michael H.

    2013-01-01

    Recent research suggests that fetal exposure to increased maternal body mass index (BMI) during pregnancy may be associated with psychopathology later in life. When this link first emerges, and if it is due to intrauterine exposures or confounding variables is not known. We therefore assessed associations between maternal pre-pregnancy BMI and:…

  11. Prospective analysis of body mass index during and up to 5 years after discharge from inpatient spinal cord injury rehabilitation

    NARCIS (Netherlands)

    de Groot, Sonja; Post, Marcel W. M.; Sluis, Tebbe A.; van der Woude, Lucas H. V.; Postma, K.

    2010-01-01

    Objective: To investigate the prevalence of overweight/obesity and the course of the body mass index (BMI) in persons with spinal cord injury during and after inpatient rehabilitation. Design: Multi-centre longitudinal study. Subjects: A total of 184 persons with spinal cord injury. Methods: BMI was

  12. The relationships between breast volume, breast dense volume and volumetric breast density with body mass index, body fat mass and ethnicity

    Science.gov (United States)

    Zakariyah, N.; Pathy, N. B.; Taib, N. A. M.; Rahmat, K.; Judy, C. W.; Fadzil, F.; Lau, S.; Ng, K. H.

    2016-03-01

    It has been shown that breast density and obesity are related to breast cancer risk. The aim of this study is to investigate the relationships of breast volume, breast dense volume and volumetric breast density (VBD) with body mass index (BMI) and body fat mass (BFM) for the three ethnic groups (Chinese, Malay and Indian) in Malaysia. We collected raw digital mammograms from 2450 women acquired on three digital mammography systems. The mammograms were analysed using Volpara software to obtain breast volume, breast dense volume and VBD. Body weight, BMI and BFM of the women were measured using a body composition analyser. Multivariable logistic regression was used to determine the independent predictors of increased overall breast volume, breast dense volume and VBD. Indians have highest breast volume and breast dense volume followed by Malays and Chinese. While Chinese are highest in VBD, followed by Malay and Indian. Multivariable analysis showed that increasing BMI and BFM were independent predictors of increased overall breast volume and dense volume. Moreover, BMI and BFM were independently and inversely related to VBD.

  13. Small differences in thyroid function may be important for body mass index and the occurrence of obesity in the population

    DEFF Research Database (Denmark)

    Knudsen, N.; Laurberg, P.; Rasmussen, Lone Banke;

    2005-01-01

    in the general population and body weight. Objective: The aim of this study was to investigate the association between thyroid function and body mass index (BMI) or obesity in a normal population. Design: A cross-sectional population study (The DanThyr Study) was conducted. Participants: In all, 4649......, adjusting for possible confounding. Results: We found a positive association between BMI and category of serum TSH ( P negative association between BMI and category of serum free T-4 ( P

  14. Body Mass Index, Dietary Habits and Physical Exercise among School going Adolescent: A Cross Sectional Study in Ahmedabad

    OpenAIRE

    Tejas A Shah, Rajshree J Bhatt, Mitesh Patel, Pritesh G Patel

    2013-01-01

    Background: The high prevalence of obesity in adolescence is serious public health concern. Longitudinal studies confirm that health consequences of obesity during adolescence track into adulthood and it can be reduced by successfully decreasing body fat among adolescents. Objectives: “The objectives of the study were to assess Body Mass Index of study participants and also to explore their lifestyle like physical exercise, television viewing etc.” Methodology: A cross- sectional stud...

  15. Comparison of Body Mass Index (BMI) Categories Based on Asian and Universal Standards and Language Spoken at Home among Asian American University Students

    Science.gov (United States)

    Ng, Tiffany; McMahan, Shari; Mouttapa, Michele; Tanjasiri, Sora Park; Beam, William

    2009-01-01

    Background: The World Health Organization released lower Body Mass Index (BMI) cutoff points for Asian individuals to account for increased body fat percentage (BF%) and risk of obesity-related conditions at a lower body mass index. Purpose: This preliminary study: (1) explores the impact of utilizing Asian BMI standards (compared to universal…

  16. Sex and Age Differences in Body-Image, Self-Esteem, and Body Mass Index in Adolescents and Adults After Single-Ventricle Palliation

    OpenAIRE

    Pike, Nancy A.; Evangelista, Lorraine S.; Doering, Lynn V.; Eastwood, Jo-Ann; Lewis, Alan B.; Child, John S.

    2012-01-01

    Single-ventricle congenital heart disease (SVCHD) requires multiple palliative surgical procedures that leave visible surgical scars and physical deficits, which can alter body-image and self-esteem. This study aimed to compare sex and age differences in body-image, self-esteem, and body mass index (BMI) in adolescents and adults with SVCHD after surgical palliation with those of a healthy control group. Using a comparative, cross-sectional design, 54 adolescent and adult (26 male and 28 fema...

  17. Body Dissatisfaction and Self-Esteem in Female Students Aged 9-15: the Effects of Age, Family Income, Body Mass Index Levels and Dance Practice

    Directory of Open Access Journals (Sweden)

    Monteiro Lilian A.

    2014-12-01

    Full Text Available This study aimed to analyze the effects of age, family income, body mass index and dance practice on levels of body dissatisfaction and self-esteem in female students. The sample consisted of 283 female subjects attending a public school with a mean age of 11.51±1.60 years and a mean body mass index of 18.72 kg/m2 (SD=3.32. The instruments used were the Body Dissatisfaction Scale for Adolescents and the Rosenberg Self-Esteem Scale, both of which showed good internal consistency (0.77 and 0.81, respectively. The tests were applied (two-factor ANOVA to compare the students practicing and those not practicing dance; the differences in the levels of body dissatisfaction (p=0.104 and self-esteem (p=0.09 were considered significant. The results demonstrated that age negatively correlated with body dissatisfaction (r=-0.19; p<0.01 and that higher body mass index levels were associated with greater body dissatisfaction (r=0.15, p=0.016 and lower levels of self-esteem (r=-0.17, p<0.01 only in non-practitioners. The practice of dance had a significant effect on levels of body dissatisfaction (F=4.79; p=0.030; η2=0.02, but there was no significant difference in self-esteem (F=1.88; p=0.172; η2=0.02. It can be concluded that female children and adolescents practicing dance have higher self-esteem, and are more satisfied with their body weight and their appearance. Moreover, results showed that self-esteem and body dissatisfaction were influenced by the body mass index levels only in the nonpractitioners group.

  18. Effects of body size and change in body size from infancy through childhood on body mass index in adulthood

    DEFF Research Database (Denmark)

    Bjerregaard, L G; Rasmussen, K M; Michaelsen, K F;

    2014-01-01

    Background: Weight and weight gain throughout infancy are related to later obesity, but whether the strength of the associations varies during the infancy period is uncertain.Aims:Our aims were to identify the period of infancy when change in body weight has the strongest association with adult b...... first month of life.International Journal of Obesity accepted article preview online, 19 June 2014; doi:10.1038/ijo.2014.108....

  19. Mendelian randomization study of body mass index and colorectal cancer risk

    Science.gov (United States)

    Thrift, Aaron P.; Gong, Jian; Peters, Ulrike; Chang-Claude, Jenny; Rudolph, Anja; Slattery, Martha L.; Chan, Andrew T.; Locke, Adam E.; Kahali, Bratati; Justice, Anne E.; Pers, Tune H.; Gallinger, Steven; Hayes, Richard B; Baron, John A.; Caan, Bette J.; Ogino, Shuji; Berndt, Sonja I.; Chanock, Stephen J.; Casey, Graham; Haile, Robert W.; Du, Mengmeng; Harrison, Tabitha A.; Thornquist, Mark; Duggan, David J.; Le Marchand, Loïc; Lindor, Noralane M.; Seminara, Daniela; Song, Mingyang; Wu, Kana; Thibodeau, Stephen N.; Cotterchio, Michelle; Win, Aung Ko; Jenkins, Mark A.; Hopper, John L.; Ulrich, Cornelia M.; Potter, John D.; Newcomb, Polly A.; Hoffmeister, Michael; Brenner, Hermann; White, Emily; Hsu, Li; Campbell, Peter T.

    2015-01-01

    Background High body mass index (BMI) is consistently linked to increased risk of colorectal cancer (CRC) for men, whereas the association is less clear for women. As risk estimates from observational studies may be biased and/or confounded, we conducted a Mendelian randomization study to estimate the causal association between BMI and CRC. Methods We used data from 10,226 CRC cases and 10,286 controls of European ancestry. The Mendelian randomization analysis used a weighted genetic risk score, derived from 77 genome-wide association study identified variants associated with higher BMI, as an instrumental variable (IV). We compared the IV odds ratio (IV-OR) with the OR obtained using a conventional covariate-adjusted analysis. Results Individuals carrying greater numbers of BMI-increasing alleles had higher CRC risk (per weighted allele OR, 1.31; 95% confidence interval [CI], 1.10–1.57). Our IV estimation results support the hypothesis that genetically influenced BMI is directly associated with risk for CRC (IV-OR per 5 kg/m2, 1.50; 95% CI, 1.13–2.01). In the sex-specific IV analyses higher BMI was associated with higher risk of CRC among women (IV-OR per 5 kg/m2, 1.82; 95% CI, 1.26–2.61). For men, genetically influenced BMI was not associated with CRC (IV-OR per 5 kg/m2, 1.18; 95% CI, 0.73–1.92). Conclusions High BMI was associated with increased CRC risk for women. Whether abdominal obesity, rather than overall obesity, is a more important risk factor for men requires further investigation. Impact Overall, conventional epidemiologic and Mendelian randomization studies suggest a strong association between obesity and the risk of CRC. PMID:25976416

  20. Low AMY1 Gene Copy Number Is Associated with Increased Body Mass Index in Prepubertal Boys.

    Directory of Open Access Journals (Sweden)

    M Loredana Marcovecchio

    Full Text Available Genome-wide association studies have identified more than 60 single nucleotide polymorphisms associated with Body Mass Index (BMI. Additional genetic variants, such as copy number variations (CNV, have also been investigated in relation to BMI. Recently, the highly polymorphic CNV in the salivary amylase (AMY1 gene, encoding an enzyme implicated in the first step of starch digestion, has been associated with obesity in adults and children. We assessed the potential association between AMY1 copy number and a wide range of BMI in a population of Italian school-children.744 children (354 boys, 390 girls, mean age (±SD: 8.4±1.4years underwent anthropometric assessments (height, weight and collection of saliva samples for DNA extraction. AMY1 copies were evaluated by quantitative PCR.A significant increase of BMI z-score by decreasing AMY1 copy number was observed in boys (β: -0.117, p = 0.033, but not in girls. Similarly, waist circumference (β: -0.155, p = 0.003, adjusted for age was negatively influenced by AMY1 copy number in boys. Boys with 8 or more AMY1 copy numbers presented a significant lower BMI z-score (p = 0.04 and waist circumference (p = 0.01 when compared to boys with less than 8 copy numbers.In this pediatric-only, population-based study, a lower AMY1 copy number emerged to be associated with increased BMI in boys. These data confirm previous findings from adult studies and support a potential role of a higher copy number of the salivary AMY1 gene in protecting from excess weight gain.

  1. Television viewing time in Hong Kong adult population: associations with body mass index and obesity.

    Directory of Open Access Journals (Sweden)

    Yao Jie Xie

    Full Text Available BACKGROUND: Obesity is increasing dramatically in the Asia-Pacific region particularly China. The population of Hong Kong was exposed to modernization far earlier than the rest of China, reflecting conditions that are likely to be replicated as other Chinese cities undergo rapid change. This study examined the relationship between television viewing and obesity in a Hong Kong sample. Information about the relationship between a key sedentary behavior, TV viewing, and obesity, and its moderation by demographic characteristics may identify sectors of the population at highest risk for excess weight. METHODS: Data were from Hong Kong Family and Health Information Trends Survey (2009-2010, a population-based survey on the public's use of media for health information and family communication by telephone interviews with 3,016 Hong Kong adults (age ≥ 18 years. TV viewing time, body mass index (BMI, physical activity and other lifestyle variables were analyzed. RESULTS: Viewing time was longer in women, increased with age but decreased with education level and vigorous physical activity (all P<0.01. Longer TV viewing time was significantly associated with higher BMI (Coefficients B = 0.17, 95% CI: 0.11, 0.24 after adjusting for age, gender, employment status, marital status, education level, smoking activity and vigorous physical activity. This association was stronger in women than men (Coefficients B: 0.19 versus 0.15 and strongest in those aged 18 to 34 years (Coefficients B = 0.35. Furthermore, an hour increase in daily TV viewing was associated with 10% greater odds of being obese. CONCLUSIONS: A significant socioeconomic gradient in television viewing time was observed. TV viewing time positively associated with BMI and obesity. The TV viewing--BMI associations were strongest in women and young adults, suggesting vulnerable groups to target for obesity prevention by decreasing TV viewing.

  2. Air trapping on computed tomography images of healthy individuals: effects of respiration and body mass index

    Energy Technology Data Exchange (ETDEWEB)

    Hashimoto, M.; Tate, E.; Watarai, J.; Sasaki, M

    2006-10-15

    Aim: To evaluate the relationships of changes in the lung area during respiration and of individual body mass index (BMI) to air trapping on expiratory computed tomography (CT) in young non-smoking adults of either gender. Methods: The volunteers were 10 women and 10 men (mean age 25.7 years) who were healthy lifelong non-smokers. We obtained both end-inspiratory and end-expiratory CT images at three levels: the upper, middle and lower lung. The ratio of cross-sectional lung area upon expiration to cross-sectional lung area upon inspiration (lung area ratio) was determined for each lung at each of the three levels. In cases showing air trapping, we calculated the percentage of area of air in relation to the total lung area in each section. BMI was calculated for each participant. Results: Air trapping was present in dependent areas of the lungs of 6 women and 5 men. The mean percentage of area of air trapped was statistically greater for men (9.8 {+-} 9.2%) than for women (4.9 {+-} 5.2%). The mean lung area ratio was 0.52 {+-} 0 14 among volunteers with air trapping (66 sections) and 0.69 {+-} 0.12 among those without air trapping (54 sections) (p < 0.001). At each lung level, the mean lung area ratio was greater in individuals with air trapping than in those without. Mean BMI was also greater in these people (p = 0.009). Conclusion: Change in the respiratory lung area and BMI contribute to development of air trapping.

  3. Low AMY1 Gene Copy Number Is Associated with Increased Body Mass Index in Prepubertal Boys

    Science.gov (United States)

    Verginelli, Fabio; De Lellis, Laura; Capelli, Cristian; Verzilli, Delfina; Chiarelli, Francesco; Mohn, Angelika; Cama, Alessandro

    2016-01-01

    Background Genome-wide association studies have identified more than 60 single nucleotide polymorphisms associated with Body Mass Index (BMI). Additional genetic variants, such as copy number variations (CNV), have also been investigated in relation to BMI. Recently, the highly polymorphic CNV in the salivary amylase (AMY1) gene, encoding an enzyme implicated in the first step of starch digestion, has been associated with obesity in adults and children. We assessed the potential association between AMY1 copy number and a wide range of BMI in a population of Italian school-children. Methods 744 children (354 boys, 390 girls, mean age (±SD): 8.4±1.4years) underwent anthropometric assessments (height, weight) and collection of saliva samples for DNA extraction. AMY1 copies were evaluated by quantitative PCR. Results A significant increase of BMI z-score by decreasing AMY1 copy number was observed in boys (β: -0.117, p = 0.033), but not in girls. Similarly, waist circumference (β: -0.155, p = 0.003, adjusted for age) was negatively influenced by AMY1 copy number in boys. Boys with 8 or more AMY1 copy numbers presented a significant lower BMI z-score (p = 0.04) and waist circumference (p = 0.01) when compared to boys with less than 8 copy numbers. Conclusions In this pediatric-only, population-based study, a lower AMY1 copy number emerged to be associated with increased BMI in boys. These data confirm previous findings from adult studies and support a potential role of a higher copy number of the salivary AMY1 gene in protecting from excess weight gain. PMID:27149670

  4. Assortative marriages by body mass index have increased simultaneously with the obesity epidemic

    Directory of Open Access Journals (Sweden)

    Teresa Adeltoft Ajslev

    2012-07-01

    Full Text Available Background: The genetic predisposition to obesity may have contributed to the obesity epidemic through assortative mating. We investigated whether spouses were positively assorted by body mass index (BMI; =kg/m2 in late childhood, and whether changes in assorted marriage by upper BMI-percentiles occurred during the obesity epidemic. Methods: In the Copenhagen School Health Records Register boys and girls with measures of BMI at age 13 years later became 37 792 spousal-pairs who married from 1945–2010. Trends in the spousal BMI correlations using sex-, age- and birth cohort-specific BMI z-scores across time were investigated. Odds ratios (ORs of marriage among spouses both with BMI z-scores >90th or >95th percentile compared with marriage among spouses ≤90th percentile were analysed for marriages entered during the years prior to (1945–1970, and during the obesity epidemic (1971–2010.Findings: Spousal BMI correlations were small and stayed similar across time. ORs of marriage among spouses with BMIs >90th percentile at age 13 were 1.21, 1.05–1.39, in 1945–1970, and increased to 1.63, 1.40–1.91, in 1971–2010 (p=0.006. ORs of marriage among spouses both >95th BMI percentile were higher and increased more; from 1.39, 1.10–1.81, to 2.39, 1.85–3.09 (p=0.004.Interpretation: Spousal correlations by pre-marital BMIs were stable during the past 65 years. Yet, assorted marriages between spouses with BMIs in the upper percentiles were observed and increased significantly across the two marriage periods, and this may possibly influence the following generations’ susceptibility to obesity.

  5. Effect of Body Mass Index on the Outcome of Children with Acute Myeloid Leukemia

    Science.gov (United States)

    Inaba, Hiroto; Surprise, Harriet C.; Pounds, Stanley; Cao, Xueyuan; Howard, Scott C.; Ringwald-Smith, Karen; Buaboonnam, Jassada; Dahl, Gary; Bowman, W. Paul; Taub, Jeffrey W.; Campana, Dario; Pui, Ching-Hon; Ribeiro, Raul C.; Rubnitz, Jeffrey E.

    2012-01-01

    BACKGROUND The effect of body mass index (BMI) on treatment outcome of children with acute myeloid leukemia (AML) is unclear and needs further evaluation. METHODS Children with AML (n=314) enrolled in 4 consecutive St. Jude protocols were grouped according to BMI (underweight, <5th percentile; healthy weight, 5th to 85th percentile; and overweight/obese, ≥ 85th percentile). RESULTS Twenty-five (8.0%) patients were underweight, 86 (27.4%) overweight/obese, and 203 (64.6%) had healthy weight. Five-year overall survival of overweight/obese patients (46.5±7.3%) was lower than that of patients with healthy weight (67.1±4.3%, P < .001); underweight patients also tended to have lower survival rates (50.6±10.7%, P = .18). In a multivariable analysis adjusting for age, leukocyte count, FAB type, and study protocols, patients with healthy weight had the best survival rate among the 3 groups (P = .01). When BMI was considered as continuous variable, patients with lower or higher BMI percentiles had worse survival (P = .03). There was no difference in the occurrence of induction failure or relapse among BMI groups but underweight and overweight/obese patients had a significantly higher cumulative incidence of treatment-related mortality, especially due to infection (P = .009). CONCLUSIONS An unhealthy BMI is associated with worse survival and more treatment-related mortality in children with AML. Meticulous supportive care, with nutritional support and education, infection prophylaxis, and detailed laboratory and physical examination is required for these patients. These measures, together with pharmacokinetics-guided chemotherapy dosing may improve outcome. PMID:22648558

  6. Body mass index and obstetric outcomes in pregnant in Saudi Arabia: a prospective cohort study

    International Nuclear Information System (INIS)

    We examined the effect of body mass index in early pregnancy on pregnancy outcome since no study in Saudi Arabia has addressed this question.This prospective cohort study involved women registered for antenatal care during the first month of pregnancy at primary health care centers in Al-Hassa, Saudi Arabia. Data was collected from records and by direct interview. The study included 787 women. Compared to normal weight women (n=307), overweight (n=187) and obese (n=226) women were at increased risk for pregnancy-induced hypertension (RR=4.9 [95% CI 1.6-11.1] and 6.1 [95% CI 2.1-17.8], respectively), gestational diabetes (RR=4.4 [95% CI 1.2-16.3] and 8.6 [95% CI 2.6-28.8]), preeclamptic toxemia (RR=3.8 [95% CI 1.1-14.6] and 5.9 [95% CI 1.7-20.4]), urinary tract infections (RR=1.4 [95% CI 0.5-3.9] and 3.7 [95% CI 1.7-6.2]), and cesarean delivery (RR=2.0 [95% CI 1.3-3.0] in obese women). Neonates born to obese women had an increased risk for postdate pregnancy (RR=3.7 [95% CI 1.2-11.6]), macrosomia (RR=6.8 [95% CI 1.5-30.7]), low 1-minute Apgar score (RR=1.9 [95% CI 1.1-3.6]), and admission to neonatal care units (RR=2.1 [95% CI 1.2-2.7]). On the other hand, low birth weight was less frequent among obese women (RR=0.5 [95% CI 0.3-0.9]) while the risk was high among underweight women (RR=2.3 [95% CI 1.4-3.8]). Even with adequate prenatal care, overweight and obesity can adversely affect pregnancy outcomes (Author).

  7. Association of a body mass index genetic risk score with growth throughout childhood and adolescence.

    Directory of Open Access Journals (Sweden)

    Nicole M Warrington

    Full Text Available While the number of established genetic variants associated with adult body mass index (BMI is growing, the relationships between these variants and growth during childhood are yet to be fully characterised. We examined the association between validated adult BMI associated single nucleotide polymorphisms (SNPs and growth trajectories across childhood. We investigated the timing of onset of the genetic effect and whether it was sex specific.Children from the ALSPAC and Raine birth cohorts were used for analysis (n = 9,328. Genotype data from 32 adult BMI associated SNPs were investigated individually and as an allelic score. Linear mixed effects models with smoothing splines were used for longitudinal modelling of the growth parameters and measures of adiposity peak and rebound were derived.The allelic score was associated with BMI growth throughout childhood, explaining 0.58% of the total variance in BMI in females and 0.44% in males. The allelic score was associated with higher BMI at the adiposity peak (females  =  0.0163 kg/m(2 per allele, males  =  0.0123 kg/m(2 per allele and earlier age (-0.0362 years per allele in males and females and higher BMI (0.0332 kg/m(2 per allele in females and 0.0364 kg/m(2 per allele in males at the adiposity rebound. No gene:sex interactions were detected for BMI growth.This study suggests that known adult genetic determinants of BMI have observable effects on growth from early childhood, and is consistent with the hypothesis that genetic determinants of adult susceptibility to obesity act from early childhood and develop over the life course.

  8. Irritable bowel syndrome subtypes: clinical and psychological features, body mass index and comorbidities

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    Cristiane Kibune-Nagasako

    2016-02-01

    Full Text Available Background: Irritable bowel syndrome (IBS is classified into subtypes according to bowel habit. Objective: To investigate whether there are differences in clinical features, comorbidities, anxiety, depression and body mass index (BMI among IBS subtypes. Methods: The study group included 113 consecutive patients (mean age: 48 ± 11 years; females: 94 with the diagnosis of IBS. All of them answered a structured questionnaire for demographic and clinical data and underwent upper endoscopy. Anxiety and depression were assessed by the Hospital Anxiety and Depression scale (HAD. Results: The distribution of subtypes was: IBS-diarrhea (IBS-D, 46%; IBS-constipation (IBS-C, 32%, and mixed IBS (IBS-M, 22%. IBS overlap with gastroesophageal reflux disease (GERD, functional dyspepsia, chronic headache and fibromyalgia occurred in 65.5%, 48.7%, 40.7% and 22.1% of patients, respectively. Anxiety and/or depression were found in 81.5%. Comparisons among subgroups showed that bloating was significantly associated with IBS-M compared to IBS-D (odds ratio-OR-5.6. Straining was more likely to be reported by IBS-M (OR 15.3 and IBS-C (OR 12.0 compared to IBS-D patients, while urgency was associated with both IBS-M (OR 19.7 and IBS-D (OR 14.2 compared to IBS-C. In addition, IBS-M patients were more likely to present GERD than IBS-D (OR 6.7 and higher scores for anxiety than IBS-C patients (OR 1.2. BMI values did not differ between IBS-D and IBS-C. Conclusion: IBS-M is characterized by symptoms frequently reported by both IBS-C (straining and IBS-D (urgency, higher levels of anxiety, and high prevalence of comorbidities. These features should be considered in the clinical management of this subgroup.

  9. Association between body mass index and mortality in a prospective cohort of Chinese adults.

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    Sun, Hao; Ren, Xiaoxia; Chen, Zhichao; Li, Chunsheng; Chen, Shuohua; Wu, Shouling; Chen, Youren; Yang, Xinchun

    2016-08-01

    Obesity is associated with an increased risk of diabetes mellitus, hypertension, and coronary artery disease; however, the relation between body mass index (BMI) and the risk of all-cause mortality is controversial. We prospectively examined the relationship between BMI and all-cause mortality in 123,384 Chinese men and women who participated in the Kailuan health examination study from 2006 to 2007 and 2008 to 2009. Cases included 6218 deaths (5770 men and 448 women) that occurred during a mean follow-up period of 7.39 years. Relative risk was adjusted for factors such as age, serum lipid levels (ie, triglyceride, high-density lipoprotein, and low-density lipoprotein cholesterol), history of smoking and drinking, and physical activity, as well as a medical history of hypertension, diabetes, myocardial infarction, and stroke. Within the cohort, the lowest risk of all-cause mortality was seen among persons with a BMI of 24 to 28 kg/m in male, and the risk was elevated among persons with BMI levels lower or higher than that range. Moreover, all-cause mortality was greatest in the group with a BMI of <18.5 kg/m. In contrast, in female, a high BMI was associated with increased mortality, and a BMI of <18.5 kg/m was associated with the lowest risk. Further, a U-shaped association was seen between BMI and the risk of death from any cause among men and women, even after adjusting for confounding factors. In conclusion, underweight was associated with a substantially increased risk of all-cause mortality in males. The excess risk of all-cause mortality with a high BMI, however, was seen among females. PMID:27512844

  10. Early Life Predictors of Increased Body Mass Index among Indigenous Australian Children.

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    Katherine A Thurber

    Full Text Available Aboriginal and Torres Strait Islander Australians are more likely than non-Indigenous Australians to be obese and experience chronic disease in adulthood--conditions linked to being overweight in childhood. Birthweight and prenatal exposures are associated with increased Body Mass Index (BMI in other populations, but the relationship is unclear for Indigenous children. The Longitudinal Study of Indigenous Children is an ongoing cohort study of up to 1,759 children across Australia. We used a multilevel model to examine the association between children's birthweight and BMI z-score in 2011, at age 3-9 years, adjusted for sociodemographic and maternal factors. Complete data were available for 682 of the 1,264 children participating in the 2011 survey; we repeated the analyses in the full sample with BMI recorded (n=1,152 after multilevel multiple imputation. One in ten children were born large for gestational age, and 17% were born small for gestational age. Increasing birthweight predicted increasing BMI; a 1-unit increase in birthweight z-score was associated with a 0.22-unit (95% CI:0.13, 0.31 increase in childhood BMI z-score. Maternal smoking during pregnancy was associated with a significant increase (0.25; 95% CI:0.05, 0.45 in BMI z-score. The multiple imputation analysis indicated that our findings were not distorted by biases in the missing data. High birthweight may be a risk indicator for overweight and obesity among Indigenous children. National targets to reduce the incidence of low birthweight which measure progress by an increase in the population's average birthweight may be ignoring a significant health risk; both ends of the spectrum must be considered. Interventions to improve maternal health during pregnancy are the first step to decreasing the prevalence of high BMI among the next generation of Indigenous children.

  11. Relation between body mass index and depression: a structural equation modeling approach

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    Akhtar-Danesh Noori

    2007-04-01

    Full Text Available Abstract Background Obesity and depression are two major diseases which are associated with many other health problems such as hypertension, dyslipidemia, diabetes mellitus, coronary heart disease, stroke, myocardial infarction, heart failure in patients with systolic hypertension, low bone mineral density and increased mortality. Both diseases share common health complications but there are inconsistent findings concerning the relationship between obesity and depression. In this work we used the structural equation modeling (SEM technique to examine the relation between body mass index (BMI, as a proxy for obesity, and depression using the Canadian Community Health Survey, Cycle 1.2. Methods In this SEM model we postulate that 1 BMI and depression are directly related, 2 BMI is directly affected by the physical activity and, 3depression is directly influenced by stress. SEM was also used to assess the relation between BMI and depression separately for males and females. Results The results indicate that higher BMI is associated with more severe form of depression. On the other hand, the more severe form of depression may result in less weight gain. However, the association between depression and BMI is gender dependent. In males, the higher BMI may result in a more severe form of depression while in females the relation may not be the same. Also, there was a negative relationship between physical activity and BMI. Conclusion In general, use of SEM method showed that the two major diseases, obesity and depression, are associated but the form of the relation is different among males and females. More research is necessary to further understand the complexity of the relationship between obesity and depression. It also demonstrated that SEM is a feasible technique for modeling the relation between obesity and depression.

  12. Higher blood glucose level associated with body mass index and gut microbiota in elderly people

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    Sepp, Epp; Kolk, Helgi; Lõivukene, Krista; Mikelsaar, Marika

    2014-01-01

    Background Some dominant bacterial divisions of the intestines have been linked to metabolic diseases such as overweight and diabetes. Objective A pilot study aimed to evaluate the relations between the culturable intestinal bacteria with body mass index (BMI) and some principal cellular and metabolic markers of blood in people older than 65. Design Altogether 38 generally healthy elderly people were recruited: ambulatory (n=19) and orthopedic surgery (n=19). Questionnaires on general health, anthropometric measurements, routine clinical and laboratory data, and quantitative composition of cultivable gut microbiota were performed. Results Blood glucose level was positively correlated with BMI (r=0.402; p=0.014). Higher blood glucose level had negative correlation with relative share of intestinal anaerobic bacteria such as bacteroides (r=−0.434; p=0.0076) and gram-positive anaerobic cocci (r=−0.364; p=0.027). In contrast, the relative share of bifidobacteria (r=0.383; p=0.019) and staphylococci (r=0.433; p=0.008) was positively correlated to blood glucose level. In elderly people, a higher blood glucose concentration was predicted by the reduction of the anaerobes’ proportion (adj. sex, age, and BMI R2=0.192, p=0.028) and that of Bacteroides sp. (adj. R2=0.309, p=0.016). Conclusion A tight interplay between increased BMI, level of blood glucose, and the reduced proportion of cultivable bacteroides is taking place in the gut microbiota of elderly people. PMID:24936169

  13. Higher blood glucose level associated with body mass index and gut microbiota in elderly people

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    Epp Sepp

    2014-06-01

    Full Text Available Background: Some dominant bacterial divisions of the intestines have been linked to metabolic diseases such as overweight and diabetes. Objective: A pilot study aimed to evaluate the relations between the culturable intestinal bacteria with body mass index (BMI and some principal cellular and metabolic markers of blood in people older than 65. Design: Altogether 38 generally healthy elderly people were recruited: ambulatory (n=19 and orthopedic surgery (n=19. Questionnaires on general health, anthropometric measurements, routine clinical and laboratory data, and quantitative composition of cultivable gut microbiota were performed. Results: Blood glucose level was positively correlated with BMI (r=0.402; p=0.014. Higher blood glucose level had negative correlation with relative share of intestinal anaerobic bacteria such as bacteroides (r=−0.434; p=0.0076 and gram-positive anaerobic cocci (r=−0.364; p=0.027. In contrast, the relative share of bifidobacteria (r=0.383; p=0.019 and staphylococci (r=0.433; p=0.008 was positively correlated to blood glucose level. In elderly people, a higher blood glucose concentration was predicted by the reduction of the anaerobes’ proportion (adj. sex, age, and BMI R2=0.192, p=0.028 and that of Bacteroides sp. (adj. R2=0.309, p=0.016. Conclusion: A tight interplay between increased BMI, level of blood glucose, and the reduced proportion of cultivable bacteroides is taking place in the gut microbiota of elderly people.

  14. CHANGING TRENDS IN LIFESTYLE BEHAVIOUR AND PHYSICAL ACTIVITY ON BODY MASS INDEX AMONG MEDICAL STUDENTS

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    Viji

    2016-03-01

    Full Text Available BACKGROUND Early sleep, early waking up, regular breakfast and light-to-moderate exercise all constitute healthy habits. Balanced diet, regular sleep and adequate physical activity are major factors in the promotion and maintenance of good health in human life. Regrettably these habits are not very frequent among medical students, because of exceptionally tiring schedule, protracted studies and burden of performing well in medical colleges. The study aims to correlate the trends in breakfast habits, mid-day snacking, sleeping habits and physical activity in relation to body mass index among medical students. METHOD This was a single centre cross-sectional questionnaire based study conducted at Jubilee Mission Medical College & Research Institute, Thrissur, Kerala. The target population was 1 st year MBBS students. We collected data from 234 students. The study duration was from August 2014 till September 2015. Convenient sampling was implied for the collection of data. RESULTS Mean age of participants was 20.85 ± 0.9 years, while mean BMI of participants was 24.7 ± 6.31 kg/m2. Average sleep duration was 7.1 hours ± 3.9 hours while average physical activity was 208 min/week ± 92 min/week. We observed that females (63.4% tend to skip breakfast twice more than males (27.9%. Students who had regular breakfast were found to have a lower BMI than those who did not. Moreover, those who took breakfast were found to be more physically active than those who skipped breakfast. CONCLUSION Since it was found that a regular consumption of breakfast, adequate sleep and exercise not only lowers BMI but also makes a person more physically fit. Therefore, it is recommended to start the day with a healthy breakfast having all the essential nutrients.

  15. FTO genotype is associated with phenotypic variability of body mass index.

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    Yang, Jian; Loos, Ruth J F; Powell, Joseph E; Medland, Sarah E; Speliotes, Elizabeth K; Chasman, Daniel I; Rose, Lynda M; Thorleifsson, Gudmar; Steinthorsdottir, Valgerdur; Mägi, Reedik; Waite, Lindsay; Smith, Albert Vernon; Yerges-Armstrong, Laura M; Monda, Keri L; Hadley, David; Mahajan, Anubha; Li, Guo; Kapur, Karen; Vitart, Veronique; Huffman, Jennifer E; Wang, Sophie R; Palmer, Cameron; Esko, Tõnu; Fischer, Krista; Zhao, Jing Hua; Demirkan, Ayşe; Isaacs, Aaron; Feitosa, Mary F; Luan, Jian'an; Heard-Costa, Nancy L; White, Charles; Jackson, Anne U; Preuss, Michael; Ziegler, Andreas; Eriksson, Joel; Kutalik, Zoltán; Frau, Francesca; Nolte, Ilja M; Van Vliet-Ostaptchouk, Jana V; Hottenga, Jouke-Jan; Jacobs, Kevin B; Verweij, Niek; Goel, Anuj; Medina-Gomez, Carolina; Estrada, Karol; Bragg-Gresham, Jennifer Lynn; Sanna, Serena; Sidore, Carlo; Tyrer, Jonathan; Teumer, Alexander; Prokopenko, Inga; Mangino, Massimo; Lindgren, Cecilia M; Assimes, Themistocles L; Shuldiner, Alan R; Hui, Jennie; Beilby, John P; McArdle, Wendy L; Hall, Per; Haritunians, Talin; Zgaga, Lina; Kolcic, Ivana; Polasek, Ozren; Zemunik, Tatijana; Oostra, Ben A; Junttila, M Juhani; Grönberg, Henrik; Schreiber, Stefan; Peters, Annette; Hicks, Andrew A; Stephens, Jonathan; Foad, Nicola S; Laitinen, Jaana; Pouta, Anneli; Kaakinen, Marika; Willemsen, Gonneke; Vink, Jacqueline M; Wild, Sarah H; Navis, Gerjan; Asselbergs, Folkert W; Homuth, Georg; John, Ulrich; Iribarren, Carlos; Harris, Tamara; Launer, Lenore; Gudnason, Vilmundur; O'Connell, Jeffrey R; Boerwinkle, Eric; Cadby, Gemma; Palmer, Lyle J; James, Alan L; Musk, Arthur W; Ingelsson, Erik; Psaty, Bruce M; Beckmann, Jacques S; Waeber, Gerard; Vollenweider, Peter; Hayward, Caroline; Wright, Alan F; Rudan, Igor; Groop, Leif C; Metspalu, Andres; Khaw, Kay Tee; van Duijn, Cornelia M; Borecki, Ingrid B; Province, Michael A; Wareham, Nicholas J; Tardif, Jean-Claude; Huikuri, Heikki V; Cupples, L Adrienne; Atwood, Larry D; Fox, Caroline S; Boehnke, Michael; Collins, Francis S; Mohlke, Karen L; Erdmann, Jeanette; Schunkert, Heribert; Hengstenberg, Christian; Stark, Klaus; Lorentzon, Mattias; Ohlsson, Claes; Cusi, Daniele; Staessen, Jan A; Van der Klauw, Melanie M; Pramstaller, Peter P; Kathiresan, Sekar; Jolley, Jennifer D; Ripatti, Samuli; Jarvelin, Marjo-Riitta; de Geus, Eco J C; Boomsma, Dorret I; Penninx, Brenda; Wilson, James F; Campbell, Harry; Chanock, Stephen J; van der Harst, Pim; Hamsten, Anders; Watkins, Hugh; Hofman, Albert; Witteman, Jacqueline C; Zillikens, M Carola; Uitterlinden, André G; Rivadeneira, Fernando; Zillikens, M Carola; Kiemeney, Lambertus A; Vermeulen, Sita H; Abecasis, Goncalo R; Schlessinger, David; Schipf, Sabine; Stumvoll, Michael; Tönjes, Anke; Spector, Tim D; North, Kari E; Lettre, Guillaume; McCarthy, Mark I; Berndt, Sonja I; Heath, Andrew C; Madden, Pamela A F; Nyholt, Dale R; Montgomery, Grant W; Martin, Nicholas G; McKnight, Barbara; Strachan, David P; Hill, William G; Snieder, Harold; Ridker, Paul M; Thorsteinsdottir, Unnur; Stefansson, Kari; Frayling, Timothy M; Hirschhorn, Joel N; Goddard, Michael E; Visscher, Peter M

    2012-10-11

    There is evidence across several species for genetic control of phenotypic variation of complex traits, such that the variance among phenotypes is genotype dependent. Understanding genetic control of variability is important in evolutionary biology, agricultural selection programmes and human medicine, yet for complex traits, no individual genetic variants associated with variance, as opposed to the mean, have been identified. Here we perform a meta-analysis of genome-wide association studies of phenotypic variation using ∼170,000 samples on height and body mass index (BMI) in human populations. We report evidence that the single nucleotide polymorphism (SNP) rs7202116 at the FTO gene locus, which is known to be associated with obesity (as measured by mean BMI for each rs7202116 genotype), is also associated with phenotypic variability. We show that the results are not due to scale effects or other artefacts, and find no other experiment-wise significant evidence for effects on variability, either at loci other than FTO for BMI or at any locus for height. The difference in variance for BMI among individuals with opposite homozygous genotypes at the FTO locus is approximately 7%, corresponding to a difference of ∼0.5 kilograms in the standard deviation of weight. Our results indicate that genetic variants can be discovered that are associated with variability, and that between-person variability in obesity can partly be explained by the genotype at the FTO locus. The results are consistent with reported FTO by environment interactions for BMI, possibly mediated by DNA methylation. Our BMI results for other SNPs and our height results for all SNPs suggest that most genetic variants, including those that influence mean height or mean BMI, are not associated with phenotypic variance, or that their effects on variability are too small to detect even with samples sizes greater than 100,000.

  16. The association between body mass index and mortality in incident dialysis patients.

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    Sunil V Badve

    Full Text Available To study the body mass index (BMI trajectory in patients with incident end-stage kidney disease and its association with all-cause mortality.This longitudinal cohort study included 17022 adult patients commencing hemodialysis [HD] (n = 10860 or peritoneal dialysis [PD] (n = 6162 between 2001 and 2008 and had ≥6-month follow-up and ≥2 weight measurements, using the Australia and New Zealand Dialysis and Transplant Registry data. The association of time-varying BMI with all-cause mortality was explored using multivariate Cox regression models.The median follow-up was 2.3 years. There was a non-linear change in the mean BMI (kg/m2 over time, with an initial decrease from 27.6 (95% confidence interval [CI]: 27.5, 27.7 to 26.7 (95% CI: 26.6, 26.9 at 3-month, followed by increments to 27.1 (95% CI: 27, 27.2 at 1-year and 27.2 (95% CI: 26.8, 27.1 at 3-year, and a gradual decrease subsequently. The BMI trajectory was significantly lower in HD patients who died than those who survived, although this pattern was not observed in PD patients. Compared to the reference time-varying BMI category of 25.1-28 kg/m2, the mortality risks of both HD and PD patients were greater in all categories of time-varying BMI 28.1 kg/m2 among HD patients, but only in the category 28.1-31 kg/m2 among PD patients.BMI changed over time in a non-linear fashion in incident dialysis patients. Time-varying measures of BMI were significantly associated with mortality risk in both HD and PD patients.

  17. Interleukin-6-related genotypes, body mass index, and risk of multiple myeloma and plasmacytoma.

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    Cozen, Wendy; Gebregziabher, Mulugeta; Conti, David V; Van Den Berg, David J; Coetzee, Gerhard A; Wang, Sophia S; Rothman, Nathaniel; Bernstein, Leslie; Hartge, Patricia; Morhbacher, Ann; Coetzee, Simon G; Salam, Muhammad T; Wang, Wei; Zadnick, John; Ingles, Sue A

    2006-11-01

    Interleukin-6 (IL-6) promotes normal plasma cell development and proliferation of myeloma cells in culture. We evaluated IL-6 genotypes and body mass index (BMI) in a case-control study of multiple myeloma and plasmacytoma. DNA samples and questionnaires were obtained from incident cases of multiple myeloma (n = 134) and plasmacytoma (n = 16; plasma cell neoplasms) ascertained from the Los Angeles County population-based cancer registry and from siblings or cousins of cases (family controls, n = 112) and population controls (n = 126). Genotypes evaluated included IL-6 promoter gene single nucleotide polymorphisms (SNP) at positions -174, -572, and -597; one variable number of tandem repeats (-373 A(n)T(n)); and one SNP in the IL-6 receptor (IL-6ralpha) gene at position -358. The variant allele of the IL-6 promoter SNP -572 was associated with a roughly 2-fold increased risk of plasma cell neoplasms when cases were compared with family [odds ratio (OR), 1.8; 95% confidence interval (95% CI), 0.7-4.7] or population controls (OR, 2.4; 95% CI, 1.2-4.7). The -373 9A/9A genotype was associated with a decreased risk compared with the most common genotype (OR for cases versus family controls, 0.4; 95% CI, 0.1-1.7; OR for cases versus population controls, 0.3; 95% CI, 0.1-0.9). No other SNPs were associated with risk. Obesity (BMI >or= 30 kg/m(2)) increased risk nonsignificantly by 40% and 80% when cases were compared with family controls or population controls, respectively, relative to persons with a BMI of <25 kg/m(2). These results suggest that IL-6 promoter genotypes may be associated with increased risk of plasma cell neoplasms.

  18. [Maternal Predictors of Body Mass Index of Pre-school and School Age Children].

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    Ortiz-Félix, Rosario E; Flores-Peña, Yolanda; Cárdenas-Villareal, Valia M; Moral de la Rubia, José; Ruvalcaba Rodríguez, María D; Hernandez-Carranco, Roandy G

    2015-09-01

    The objective was to identify maternal variables that could be used as predictors of the child's body mass index (BMI). We considered the following variables: (a) socio-demographic (age, education, occupation, marital status and family income); (b) anthropometric (BMI); and (c) upbringing strategies (monitoring and limits for eating habits, monitoring and sedentary behavior limits, discipline and control in feeding. A predictive correlational study was carried out with 537 dyads (mother-child). Children enrolled in 4 public schools (2 for pre-school children and 2 for primary school children) were selected for probabilistic, random sampling. The mothers answered the Feeding and Activity Upbringing Strategies Scale, giving socio-demographic information and the dyads' weight and height was measured. The data were analyzed for correlations and path analysis. It was found that the average age of mothers was 34.25 years (SD=6.91), with 12.40 years of education (SD=3.36), 53.3% mentioned that they were housewives and 46.7% had a paid job outside of the home; 38.5% showed pre-OB and 27.3% some degree of OB. The child's average age was 7.26 years (SD=2.46), and 3.2% showed low weight, 59.6% normal weight and 37.2% OW-0B. It was found that working outside the home, having a higher maternal BMI, less control and more discipline in feeding are variables that predict higher BMI in the child. We recommend the design of interventions to reduce and treat the child's OW-OB taking into account the predictors that were found. PMID:26821487

  19. Smoking and γ-glutamyltransferase: opposite interactions with alcohol consumption and body mass index.

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    Lutz P Breitling

    Full Text Available BACKGROUND: Smoking has recently been suggested to synergistically interact with alcohol intake as a determinant of serum gamma-glutamyltransferase (γ-GT, an emergent powerful predictor of disease and mortality. This study investigated whether this also applies to higher smoking and alcohol exposure ranges and to body mass index (BMI, which likewise is strongly associated with γ-GT. METHODOLOGY/PRINCIPAL FINDINGS: Analyses were based on occupational health examinations of more than 15,000 German male workers aged 16-64 years, predominantly from the construction industry. Sociodemographics and other health-related information were collected during the exam. Joint associations of smoking and alcohol consumption or BMI with elevated or log-transformed γ-GT were examined by tabulation and multiple adjusted regression models. Cigarette smoking exerted no effect on γ-GT in teetotalers, but there was a statistically significant effect of smoking among participants with higher alcohol consumption intensity, odds of elevated γ-GT being increased by 24% and 27% per additional 10 cigarettes smoked per day in subjects drinking 61-90 and >90 gram alcohol per day, respectively (P for interaction = 0.039. The interaction was opposite for BMI, where no association was seen in obese subjects, whereas odds of elevated γ-GT were increased by 24% per 10 cigarettes below 25 kg/m(2 (P for interaction = 0.040. This novel interaction was replicable in an independent cohort. CONCLUSION: The evidence for opposite interactions of smoking with alcohol and BMI as determinants of serum γ-GT suggests that different physiological pathways are responsible for the associations between these factors.

  20. Repeated measures of body mass index and risk of health related outcomes.

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    Claessen, Heiner; Brenner, Hermann; Drath, Christoph; Arndt, Volker

    2012-03-01

    Most studies examining the association between body mass index (BMI) and mortality neglected changes in weight over time, which may have led to underestimation of the true association. The aim of this study is to examine the relationship between BMI and health related outcomes while accounting for variations of BMI over time. The association between BMI and both mortality and occupational disability was examined in a follow-up of 5,554 male construction workers in Württemberg/Germany, who participated at least two times in routine occupational health examinations between 1986 and 2005. Using Cox proportional hazards model with time dependent variables, hazard ratios were calculated with normal weight (<25 kg/m²) as reference after adjustment for potential confounding factors. Overall, an U-shaped association between baseline BMI and mortality (370 events) as well as occupational disability (658 events) was observed, with lowest risk at BMI levels between 25 and 30 kg/m². Men with a baseline BMI ≥ 30 kg/m² experienced a 10% higher mortality and disability risk than normal weight men. The association between BMI and occupational disability became stronger after accounting for temporal variability of BMI with a significant increased risk of 1.26 (95% confidence interval: 1.01-1.56) among obese men. In contrast, the association between BMI and mortality did not materially change after accounting for time dependent effects. Stable obesity as defined by a BMI of 30 kg/m² and above increases risk of disability in male construction workers. Accounting for changes of BMI over time is crucial for disclosing full impact of obesity. PMID:22388768

  1. Genome Wide Association Study:Searching for Genes Underlying Body Mass Index in the Chinese

    Institute of Scientific and Technical Information of China (English)

    YANG Fang; CHEN Xiang Ding; TAN Li Jun; SHEN Jie; LI Ding You; ZHANG Fang; SHA Bao Yong; DENG Hong Wen

    2014-01-01

    Objective Obesity is becoming a worldwide health problem. The genome wide association (GWA) study particularly for body mass index (BMI) has not been successfully conducted in the Chinese. In order to identify novel genes for BMI variation in the Chinese, an initial GWA study and a follow up replication study were performed. Methods Affymetrix 500K SNPs were genotyped for initial GWA of 597 Northern Chinese. After quality control, 281 533 SNPs were included in the association analysis. Three SNPs were genotyped in a Southern Chinese replication sample containing 2 955 Chinese Han subjects. Association analyses were performed by Plink software. Results Eight SNPs were significantly associated with BMI variation after false discovery rate (FDR) correction (P=5.45×10-7-7.26×10-6, FDR q=0.033-0.048). Two adjacent SNPs (rs4432245 &rs711906) in the eukaryotic translation initiation factor 2 alpha kinase 4 (EIF2AK4) gene were significantly associated with BMI (P=6.38×10-6&4.39×10-6, FDR q=0.048). In the follow-up replication study, we confirmed the associations between BMI and rs4432245, rs711906 in the EIF2AKE gene (P=0.03&0.01, respectively). Conclusion Our study suggests novel mechanisms for BMI, where EIF2AK4 has exerted a profound effect on the synthesis and storage of triglycerides and may impact on overall energy homeostasis associated with obesity. The minor allele frequencies for the two SNPs in the EIF2AK4 gene have marked ethnic differences between Caucasians and the Chinese. The association of the EIF2AK4 gene with BMI is suggested to be‘ethnic specific’ in the Chinese.

  2. Does body mass index (BMI) influence the Ankylosing Spondylitis Disease Activity Score in axial spondyloarthritis?

    Science.gov (United States)

    Rubio Vargas, Roxana; van den Berg, Rosaline; van Lunteren, Miranda; Ez-Zaitouni, Zineb; Bakker, Pauline A C; Dagfinrud, Hanne; Ramonda, Roberta; Landewé, Robert; Molenaar, Esmeralda; van Gaalen, Floris A; van der Heijde, Désirée

    2016-01-01

    Objective Obesity is associated with elevated C reactive protein (CRP) levels. The Ankylosing Spondylitis Disease Activity Score (ASDAS) combines patient-reported outcomes (PROs) and CRP. We evaluated the effect of body mass index (BMI) on CRP and on ASDAS, and studied if ASDAS can be used in obese axial spondyloarthritis (axSpA) patients to assess disease activity. Methods Baseline data of patients with chronic back pain of short duration included in the SPondyloArthritis Caught Early (SPACE) cohort were used. Collected data included BMI and ASDAS. Patients were classified according to the ASAS axSpA classification criteria and BMI (overweight ≥25 and obese ≥30). Correlation and linear regression analyses were performed to assess the relation between BMI and ASDAS. Linear regression models were performed to assess if age or gender were effect modifiers in the relation between BMI and CRP, and between BMI and ASDAS. Results In total, 428 patients were analysed (n=168 axSpA; n=260 no-axSpA). The mean age was 31.1 years, 36.9% were male, 26.4% were overweight and 13.3% obese, median CRP was 3 mg/L and the mean ASDAS was 2.6. Gender was the only factor modifying the relationship between BMI and CRP as BMI had an influence on CRP only in females (β=0.35; p<0.001). Correlations between BMI and CRP or PROs were generally weak, and only significant for CRP in female patients. BMI was not related to ASDAS in axSpA patients. Conclusions ASDAS is not affected by BMI in axSpA patients. Therefore, based on our data it is not necessary to take BMI in consideration when assessing disease activity using ASDAS in axSpA patients. PMID:27403336

  3. Value of waist circumference, body mass index and hyperinsulinaemia in identifying metabolic syndrome

    Institute of Scientific and Technical Information of China (English)

    Hui TIAN; Jingfang SUN; Changyu PAN; Juming LU; Jingtao DOU; Fangling MA; Xiaoman ZHOU; Fusheng FANG; Yinghong SHAO; Chunlin LI; Jian LI; Xiutang CAO; Shuangtong YAN; Wenwen ZHONG; Yanyan LI

    2008-01-01

    To investigate the significance of waist circum-ference (WC), body mass index (BMI) and hyperinsuli-naemia A (Hlns) in evaluating metabolic syndrome (MS). Clinical data from middle-aged and senile indivi-duals (middle-senile group) who received glucose tol-erance test after diabetes mellitus screening and a group of subjects who received annual oral glucose tolerance test (OGTT) for diabetes mellitus screening (adult group) were collected. Data were collected by use of special mes-sengers, input into a computer data base and analyzed using SAS 5.0 software by expert staff. Abnormal WC and BMI were determined according to International Diabetes Federation (IDF) and Chinese Diabetes Society (CDS) criteria. Hlns was ascertained if fasting insulin (Fins)≥15 mU/L, and/or 2-hour insulin after a glucose challenge was (2hPIns)≥80 mU/L. Abnorma-lities in WC, BMI and Hlns were all found to be risk factors for abnormal glucose metabolism, hypertension and dyslipidemia. In the middle-senile group, the abnor-mality rate of WC and Hlns as well as the overall insulin level were significantly higher than those in the adult group. The abnormality rate of BMI was higher in the adult group, and HIns was mostly seen in impaired glu-cose test (IGT) and normal glucose test (NGT). The con-cordance rate of WC and BMI diagnostic criteria for evaluating obesity in the middle-senile and adult groups were 77.5% and 74.3%, respectively. When only the WC criterion was used for evaluating the existence of insulin resistance, there was a 28.2% missed diagnosis rate for MS patients. WC, BMI and Hlns were all risk factors for abnormal glucose metabolism, hypertension and dyslipi-demia. There was differing prevalence in the different populations. The combination of WC, BMI and Hlnsmight be more helpful in identifying MS at early stage.

  4. Family history, body mass index and survival in Japanese patients with stomach cancer: a prospective study.

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    Minami, Yuko; Kawai, Masaaki; Fujiya, Tsuneaki; Suzuki, Masaki; Noguchi, Tetsuya; Yamanami, Hideaki; Kakugawa, Yoichiro; Nishino, Yoshikazu

    2015-01-15

    Family history and nutritional status may affect the long-term prognosis of stomach cancer, but evidence is insufficient and inconsistent. To clarify the prognostic factors of stomach cancer, we conducted a prospective study of 1,033 Japanese patients with histologically confirmed stomach cancer who were admitted to a single hospital between 1997 and 2005. Family history of stomach cancer and pretreatment body mass index (BMI) were assessed using a self-administered questionnaire. Clinical data were retrieved from a hospital-based cancer registry. All patients were completely followed up until December, 2008. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated according to family history in parents and siblings and BMI category. During a median follow-up of 5.3 years, 403 all-cause and 279 stomach cancer deaths were documented. Although no association with family history was observed in the patients overall, analysis according to age group found an increased risk of all-cause death associated with a history in first degree relatives (HR = 1.61, 95% CI: 0.93-2.78, p = 0.09) and with a parental history (HR = 1.86, 95% CI: 1.06-3.26) among patients aged under 60 years at diagnosis. BMI was related to all-cause and stomach cancer death among patients aged 60 and over, showing a J-shaped pattern (HR of all-cause death = 2.28 for BMI stomach cancer, especially parental history, may affect mortality among younger stomach cancer patients, whereas nutritional status may be a prognostic factor in older patients.

  5. Varicocele among healthy young men in Turkey; prevalence and relationship with body mass index

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    Haluk Soylemez

    2012-02-01

    Full Text Available AIM: Varicocele is characterized by abnormal tortuosity and dilatation of the veins of the pampiniform plexus within the spermatic cord and is one of the causes related to male infertility. This study aimed to investigate the correlation between varicocele and somatometric parameters. We also aimed to determine prevalence and treatment ratio of this disorder among healthy young Turkish men. MATERIALS AND METHODS: A total of 2061 young men aged from 19 to 34 years was enrolled and cross sectionally evaluated for status of varicocele. Body mass index was calculated. Patients were categorized as normal weight, overweight and obese using by National Institutes of Health criteria. Patients underwent physical examinations for the presence and grade of varicocele. If the varicocele was found and previously submitted to different treatment modalities, the age of treatment and outcomes were recorded. RESULTS: Varicocele was present in 498 men (24.2%. The mean age of the participants was 22.7 ± 1.8 years, and the median BMI was 22.8 ± 2.0 kg/m². There were no significant differences in age, height, weight and BMI among the patients with different grades of varicocele (p > 0.05. Although no significant difference was found in varicocele prevalence between normal weight and over-weight participants (p > 0.05, obese participants had significantly lower varicocele prevalence compared with normal or over weight participants (p = 0.006. A total of 49 men had scrotal pain and the treatment ratio was only 2.8%. CONCLUSION: Prevalence of varicocele was found in about 24% of healthy young Turkish population. Participants with varicocele had significantly lower BMI values compared with those without varicocele. Our findings supported the hypothesis that individuals with a greater BMI may have advantages in relieving the varicocele, but further studies are required to clarify this issue. Additionally treatment ratio was low among young men with varicocele.

  6. Impact of body mass index, age and varicocele on reproductive hormone profile from elderly men

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    K. G. R. Yamaçake

    2016-04-01

    Full Text Available ABSTRACT Objectives: To study the impact of obesity, age and varicocele on sexual hormones fof adult and elderly men. Materials and Methods: 875 men who were screened for prostate cancer were enrolled in this study. Data recorded comprised age, body mass index (BMI, serum levels of total testosterone (TT, free testosterone (FT, sex hormone-binding globulin (SHBG, luteinizing hormone (LH and follicular stimulating hormone (FSH. Patients were divided in groups according to their BMI in underweight, normal weight, overweight and obese grades 1, 2 or 3. First, it was studied the association between age, BMI, and hormone profile. Then, clinical varicocele was evaluated in 298 patients to assess its correlation to the others parameters. Results: Obese patients had lower levels of TT, FT and SHBG (p<0.001 compared to underweight or normal weight patients. There were no differences in age (p=0.113, FSH serum levels (p=0.863 and LH serum levels (p=0.218 between obese and non-obese patients. Obese grade 3 had lower levels of TT and FT compared to obese grade 1 and 2 (p<0.05. There was no difference in the SHBG levels (p=0.120 among obese patients. There was no association between varicocele and BMI; and varicocele did not impact on testosterone or SHBG levels. Conclusions: Men with higher BMI have a lower serum level of TT, FT and SHBG. The presence of clinical varicocele as well as its grade has no impact on hormone profile in elderly men.

  7. Maternal prepregnancy body mass index and gestational weight gain on pregnancy outcomes.

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    Nan Li

    Full Text Available OBJECTIVE: The aim of the present study was to evaluate the single and joint associations of maternal prepregnancy body mass index (BMI and gestational weight gain (GWG with pregnancy outcomes in Tianjin, China. METHODS: Between June 2009 and May 2011, health care records of 33,973 pregnant women were collected and their children were measured for birth weight and birth length. The independent and joint associations of prepregnancy BMI and GWG based on the Institute of Medicine (IOM guidelines with the risks of pregnancy and neonatal outcomes were examined by using Logistic Regression. RESULTS: After adjustment for all confounding factors, maternal prepregnancy BMI was positively associated with risks of gestational diabetes mellitus (GDM, pregnancy-induced hypertension, caesarean delivery, preterm delivery, large-for-gestational age infant (LGA, and macrosomia, and inversely associated with risks of small-for-gestational age infant (SGA and low birth weight. Maternal excessive GWG was associated with increased risks of pregnancy-induced hypertension, caesarean delivery, LGA, and macrosomia, and decreased risks of preterm delivery, SGA, and low birth weight. Maternal inadequate GWG was associated with increased risks of preterm delivery and SGA, and decreased risks of LGA and macrosomia, compared with maternal adequate GWG. Women with both prepregnancy obesity and excessive GWG had 2.2-5.9 folds higher risks of GDM, pregnancy-induced hypertension, caesarean delivery, LGA, and macrosomia compared with women with normal prepregnancy BMI and adequate GWG. CONCLUSIONS: Maternal prepregnancy obesity and excessive GWG were associated with greater risks of pregnancy-induced hypertension, caesarean delivery, and greater infant size at birth. Health care providers should inform women to start the pregnancy with a BMI in the normal weight category and limit their GWG to the range specified for their prepregnancy BMI.

  8. Modulation of genetic associations with serum urate levels by body-mass-index in humans.

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    Jennifer E Huffman

    Full Text Available We tested for interactions between body mass index (BMI and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8. Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8, a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8, regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4. Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.

  9. Avoiding transthoracic echocardiography and transesophageal echocardiography for patients with variable body mass indexes in infective endocarditis

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    Robert Sogomonian

    2016-04-01

    Full Text Available Background: Echocardiography has been a popular modality used to aid in the diagnosis of infective endocarditis (IE with the modified Duke criteria. We evaluated the necessity between the uses of either a transthoracic echocardiography (TTE or transesophageal echocardiography (TEE in patients with a body mass index (BMI greater than or equal to 25 kg/m2 and less than 25 kg/m2. Methods: A single-centered, retrospective study of 198 patients between 2005 and 2012 diagnosed with IE based on modified Duke criteria. Patients, required to be above age 18, had undergone an echocardiogram study and had blood cultures to be included in the study. Results: Among 198 patients, two echocardiographic groups were evaluated as 158 patients obtained a TTE, 143 obtained a TEE, and 103 overlapped with TEE and TTE. Out of these patients, 167 patients were included in the study as 109 (65% were discovered to have native valve vegetations on TEE and 58 (35% with TTE. TTE findings were compared with TEE results for true negatives and positives to isolate valvular vegetations. Overall sensitivity of TTE was calculated to be 67% with a specificity of 93%. Patients were further divided into two groups with the first group having a BMI ≥25 kg/m2 and the subsequent group with a BMI <25 kg/m2. Patients with a BMI ≥25 kg/m2 who underwent a TTE study had a sensitivity and specificity of 54 and 92%, respectively. On the contrary, patients with a BMI < 25 kg/m2 had a TTE sensitivity and specificity of 78 and 95%, respectively. Conclusions: Patients with a BMI <25 kg/m2 and a negative TTE should refrain from further diagnostic studies, with TEE strong clinical judgment is warranted. Patients with a BMI ≥ 25 kg/m2 may proceed directly to TEE as the initial study, possibly avoiding an additional study with a TTE.

  10. Assessment of respiratory muscle strength in children according to the classification of body mass index

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    George Jung da Rosa

    2014-06-01

    Full Text Available OBJECTIVE: To assess and compare the respiratory muscle strength among eutrophic, overweight and obese school children, as well as to identify anthropometric and respiratory variables related to the results.METHODS: Cross-sectional survey with healthy schoolchildren aged 7-9 years old, divided into three groups: Normal weight, Overweight and Obese. The International Study of Asthma and Allergies in Childhood (ISAAC questionnaire was applied. The body mass index (BMI was evaluated, as well as the forced expiratory volume in one second (FEV1 with a portable digital device. The maximal inspiratory and expiratory pressures (MIP and MEP were measured by a digital manometer. Comparisons between the groups were made by Kruskal-Wallis test. Spearman's correlation coefficient was used to analyze the correlations among the variables.RESULTS: MIP of eutrophic school children was higher than MIP found in overweight (p=0.043 and obese (p=0.013 children. MIP was correlated with BMI percentile and weight classification (r=-0.214 and r=-0.256 and MEP was correlated with height (r=0.328. Both pressures showed strong correlation with each other in all analyses (r≥0.773, and less correlation with FEV1 (MIP - r=0.362 and MEP - r=0.494. FEV1 correlated with MEP in all groups (r: 0.429 - 0.569 and with MIP in Obese Group (r=0.565. Age was correlated with FEV1 (r=0.578, MIP (r=0.281 and MEP (r=0.328.CONCLUSIONS: Overweight and obese children showed lower MIP values, compared to eutrophic ones. The findings point to the influence of anthropometric variables on respiratory muscle strength in children.

  11. FACTORS ASSOCIATED WITH CHILDREN'S HEIGHT AND BODY MASS INDEX IN LITHUANIA, 1990-2008.

    Science.gov (United States)

    Suchomlinov, Andrej; Tutkuviene, Janina

    2016-08-01

    The aim of the study was to reveal the ethnic and socioeconomic factors associated with height and body mass index (BMI) of children during the period of political and social transition in Lithuania in 1990-2008. Data were derived from the personal health records of 1491 children (762 boys and 729 girls) born in 1990 in Vilnius city and region. Height and BMI from birth up to the age of 18 years were investigated. Children were divided into groups according to their ethnicity, place of residence, father's and mother's occupation and birth order. Height and BMI were compared between the groups; a Bonferroni correction was applied. A multiple linear regression model was used to measure the effects of the independent variables on height and BMI. Girls living in Vilnius city were significantly taller in later life at the ages of 8 and 11 years. Sons of mothers employed as office workers appeared to be significantly taller at the ages of 7, 12, 14 and 15 years compared with the sons of labourers. First-born girls were taller at the age of 7 years than later-born girls of the same age (124.48±5.11 cm and 122.92±5.14 cm, respectively, pbirth compared with first-borns; however, first-born girls had higher BMIs at the age of 11 years compared with their later-born peers (17.78±2.87 kg/m² and 16.79±2.14 kg/m² respectively, pbirth order (pbirth. In general, ethnicity, place of residence, father's and mother's occupation and birth order were not associated with children's height and BMI in most age groups. PMID:26165167

  12. Sex, body mass index, and dietary fiber intake influence the human gut microbiome.

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    Christine Dominianni

    Full Text Available Increasing evidence suggests that the composition of the human gut microbiome is important in the etiology of human diseases; however, the personal factors that influence the gut microbiome composition are poorly characterized. Animal models point to sex hormone-related differentials in microbiome composition. In this study, we investigated the relationship of sex, body mass index (BMI and dietary fiber intake with the gut microbiome in 82 humans. We sequenced fecal 16S rRNA genes by 454 FLX technology, then clustered and classified the reads to microbial genomes using the QIIME pipeline. Relationships of sex, BMI, and fiber intake with overall gut microbiome composition and specific taxon abundances were assessed by permutational MANOVA and multivariate logistic regression, respectively. We found that sex was associated with the gut microbiome composition overall (p=0.001. The gut microbiome in women was characterized by a lower abundance of Bacteroidetes (p=0.03. BMI (>25 kg/m2 vs. <25 kg/m2 was associated with the gut microbiome composition overall (p=0.05, and this relationship was strong in women (p=0.03 but not in men (p=0.29. Fiber from beans and from fruits and vegetables were associated, respectively, with greater abundance of Actinobacteria (p=0.006 and false discovery rate adjusted q=0.05 and Clostridia (p=0.009 and false discovery rate adjusted q=0.09. Our findings suggest that sex, BMI, and dietary fiber contribute to shaping the gut microbiome in humans. Better understanding of these relationships may have significant implications for gastrointestinal health and disease prevention.

  13. Discordant Documentation of Obesity Body Mass Index and Obesity Diagnosis in Electronic Medical Records

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    Jennifer T. Fink

    2014-11-01

    Full Text Available Purpose: This study examined concordance between presence of obesity body mass index (BMI, defined as BMI ≥ 30, in the patient’s electronic medical record (EMR and a documented diagnosis of obesity. Methods: We conducted a retrospective review of the EMR in a large health care system for a 1-year period (2012. A total of 397,313 patients met the study criteria of having at least one physician visit, being at least 18 years of age, and not being pregnant. Of those, 158,327 (40% had a recorded BMI ≥ 30. We examined the EMR of these obese patients to determine whether a diagnosis of obesity was recorded, and whether demographics or comorbid diagnoses impacted the likelihood of a recorded obesity diagnosis. Results: Obesity appeared on the EMR problem list for only 35% of patients with BMI ≥ 30. Obesity diagnosis was documented more frequently in women, middle-aged patients and blacks. The presence of some comorbidities (e.g. sleep apnea, hypertension, diabetes led to significantly more frequent diagnosis of obesity. There was a significant positive association between the number of comorbid diagnoses per patient and an obesity diagnosis appearing on the problem list. Conclusions: Obesity remains underrecorded in the EMR problem list despite the presence of obesity BMI in the EMR. Patient demographics and comorbidities should be considered when identifying best practices for weight management. New practices should be patient-centered and consider cultural context as well as the social and physical resources available to patients – all crucial for enacting systems change in a true accountable care environment.

  14. Original Research Body Mass Index is a Poor Predictor of Bedside Appendix Ultrasound Success or Accuracy

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    Samuel H.F. Lam

    2016-06-01

    Full Text Available Introduction: The objective of this study was to determine whether there is a relationship between body mass index (BMI and success or accuracy rate of beside ultrasound (BUS for the diagnosis of appendicitis. Methods: Patients four years of age and older presenting to the emergency department with suspected appendicitis were eligible. Enrollment was by convenience sampling. After informed consent, BUS was performed by trained emergency physicians who had undergone a minimum of one-hour didactic training on the use of BUS to diagnose appendicitis. We ascertained subject outcomes by a combination of medical record review and telephone follow up. Calculated BMI for adults and children were divided into four categories (underweight, normal, overweight, obese according to Centers for Disease Control and Prevention classifications. Results: A total of 125 subjects consented for the study, and 116 of them had adequate image data for final analysis. Seventy (60% of the subjects were children. Prevalence of appendicitis was 39%. Fifty-two (45% of the BUS studies were diagnostic (successful. Overall accuracy rate was 75%. Analysis by chi-square test or Mann-Whitney U test did not find any significant correlation between BMI category and BUS success. Similarly, there was no significant correlation between BMI category and BUS accuracy. The same conclusion was reached when children and adults were analyzed separately, or when subjects were dichotomized into underweight/ normal and overweight/ obese categories. Conclusion: BMI category alone is a poor predictor of appendix BUS success or accuracy. [West J Emerg Med. 2016;17(4454-459.

  15. Twenty-five year trends in body mass index by education and income in Finland

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    Prättälä Ritva

    2012-10-01

    Full Text Available Abstract Background The socioeconomic gradient in obesity and overweight is amply documented. However, the contribution of different socioeconomic indicators on trends of body mass index (BMI over time is less well known. The aim of this study was to investigate the associations of education and income with (BMI from the late 1970s to the early 2000s. Methods Data were derived from nationwide cross-sectional health behaviour surveys carried out among Finns annually since 1978. This study comprises data from a 25-year period (1978–2002 that included 25 339 men and 25 330 women aged 25–64 years. BMI was based on self-reported weight and height. Education in years was obtained from the questionnaire and household income from the national tax register. In order to improve the comparability of the socioeconomic position measures, education and income were divided into gender-specific tertiles separately for each study year. Linear regression analysis was applied. Results An increase in BMI was observed among men and women in all educational and income groups. In women, education and income were inversely associated with BMI. The magnitudes of the associations fluctuated but stayed statistically significant over time. Among the Finnish men, socioeconomic differences were more complicated. Educational differences were weaker than among the women and income differences varied according to educational level. At the turn of the century, the high income men in the lowest educational group had the highest BMI whereas the income pattern in the highest educational group was the opposite. Conclusion No overall change in the socio-economic differences of BMI was observed in Finland between 1978 and 2002. However, the trends of BMI diverged in sub-groups of the studied population: the most prominent increase in BMI took place in high income men with low education and in low income men with high education. The results encourage further research on the

  16. Impact of Missing Data for Body Mass Index in an Epidemiologic Study.

    Science.gov (United States)

    Razzaghi, Hilda; Tinker, Sarah C; Herring, Amy H; Howards, Penelope P; Waller, D Kim; Johnson, Candice Y

    2016-07-01

    Objective To assess the potential impact of missing data on body mass index (BMI) on the association between prepregnancy obesity and specific birth defects. Methods Data from the National Birth Defects Prevention Study (NBDPS) were analyzed. We assessed the factors associated with missing BMI data among mothers of infants without birth defects. Four analytic methods were then used to assess the impact of missing BMI data on the association between maternal prepregnancy obesity and three birth defects; spina bifida, gastroschisis, and cleft lip with/without cleft palate. The analytic methods were: (1) complete case analysis; (2) assignment of missing values to either obese or normal BMI; (3) multiple imputation; and (4) probabilistic sensitivity analysis. Logistic regression was used to estimate crude and adjusted odds ratios (aOR) and 95 % confidence intervals (CI). Results Of NBDPS control mothers 4.6 % were missing BMI data, and most of the missing values were attributable to missing height (~90 %). Missing BMI data was associated with birth outside of the US (aOR 8.6; 95 % CI 5.5, 13.4), interview in Spanish (aOR 2.4; 95 % CI 1.8, 3.2), Hispanic ethnicity (aOR 2.0; 95 % CI 1.2, 3.4), and <12 years education (aOR 2.3; 95 % CI 1.7, 3.1). Overall the results of the multiple imputation and probabilistic sensitivity analysis were similar to the complete case analysis. Conclusions Although in some scenarios missing BMI data can bias the magnitude of association, it does not appear likely to have impacted conclusions from a traditional complete case analysis of these data. PMID:27029540

  17. Comparison of variations between percentage of body fat, body mass index and daily physical activity among young Japanese and Thai female students

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    Morinaka Tomoko

    2012-08-01

    Full Text Available Abstract Background In our series of investigations concerning the causes of seasonal change in fat accumulation in young university students, we could not find any contribution of seasonal variation in the ratio of carbohydrate and fat metabolism to that of body fat percentage in Japanese and Thai participants. After our previous study, we examined the effect of daily physical activity on body fat percentage to look for the major causes of seasonal change in fat accumulation in young university students. Findings In this study, we measured participants’ (young Japanese and Thai university students daily physical activity by a uniaxial accelerometer in addition to the measurements of body fat percentage and body mass index by a bioelectrical impedance meter. We found that there was significant and moderate negative correlation between body fat percentage and daily step counts among Japanese but not Thai participants. We observed significant, moderate and positive correlations between the percentage of body fat and body mass index among Japanese and Thai participants. Conclusions Daily physical activity plays an important role in the seasonal variation of body fat percentage of Japanese female students. Our present study also confirmed the importance of daily physical activity for controlling body mass index and for the prevention of obesity.

  18. Body dissatisfaction and self-esteem in female students aged 9-15: the effects of age, family income, body mass index levels and dance practice.

    Science.gov (United States)

    Monteiro, Lilian A; Novaes, Jefferson S; Santos, Mara L; Fernandes, Helder M

    2014-09-29

    This study aimed to analyze the effects of age, family income, body mass index and dance practice on levels of body dissatisfaction and self-esteem in female students. The sample consisted of 283 female subjects attending a public school with a mean age of 11.51±1.60 years and a mean body mass index of 18.72 kg/m2 (SD=3.32). The instruments used were the Body Dissatisfaction Scale for Adolescents and the Rosenberg Self-Esteem Scale, both of which showed good internal consistency (0.77 and 0.81, respectively). The tests were applied (two-factor ANOVA) to compare the students practicing and those not practicing dance; the differences in the levels of body dissatisfaction (p=0.104) and self-esteem (p=0.09) were considered significant. The results demonstrated that age negatively correlated with body dissatisfaction (r=-0.19; pself-esteem (r=-0.17, pself-esteem (F=1.88; p=0.172; η(2)=0.02). It can be concluded that female children and adolescents practicing dance have higher self-esteem, and are more satisfied with their body weight and their appearance. Moreover, results showed that self-esteem and body dissatisfaction were influenced by the body mass index levels only in the non-practitioners group.

  19. Body mass index and survival after breast cancer diagnosis in Japanese women

    International Nuclear Information System (INIS)

    Body mass index (BMI) may be an important factor affecting breast cancer outcome. Studies conducted mainly in Western countries have reported a relationship between higher BMI and a higher risk of all-cause death or breast cancer-specific death among women with breast cancer, but only a few studies have been reported in Japan so far. In the present prospective study, we investigated the associations between BMI and the risk of all-cause and breast cancer-specific death among breast cancer patients overall and by menopausal status and hormone receptor status. The study included 653 breast cancer patients admitted to a single hospital in Japan, between 1997 and 2005. BMI was assessed using a self-administered questionnaire. The patients were completely followed up until December, 2008. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated according to quartile points of BMI categories, respectively: <21.2, ≥21.2 to <23.3 (reference), ≥23.3 to <25.8 and ≥25.8 kg/m2. During the follow-up period, 136 all-cause and 108 breast cancer-specific deaths were observed. After adjustment for clinical and confounding factors, higher BMI was associated with an increased risk of all-cause death (HR = 2.61; 95% CI: 1.01–6.78 for BMI ≥25.8 vs. ≥21.2 to <23.3 kg/m2) among premenopausal patients. According to hormonal receptor status, BMI ≥25.8 kg/m2 was associated with breast cancer-specific death (HR = 4.95; 95% CI: 1.05–23.35) and BMI <21.2 kg/m2 was associated with all-cause (HR = 2.91; 95% CI: 1.09–7.77) and breast cancer-specific death (HR = 7.23; 95% CI: 1.57–33.34) among patients with ER + or PgR + tumors. Analysis by hormonal receptor status also showed a positive association between BMI and mortality risk among patients with ER + or PgR + tumors and with BMI ≥21.2 kg/m2 (p for trend: 0.020 and 0.031 for all-cause and breast cancer-specific death, respectively). Our results suggest that both higher BMI and lower BMI are associated with an

  20. Body mass index and survival after breast cancer diagnosis in Japanese women

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    Kawai Masaaki

    2012-04-01

    Full Text Available Abstract Background Body mass index (BMI may be an important factor affecting breast cancer outcome. Studies conducted mainly in Western countries have reported a relationship between higher BMI and a higher risk of all-cause death or breast cancer-specific death among women with breast cancer, but only a few studies have been reported in Japan so far. In the present prospective study, we investigated the associations between BMI and the risk of all-cause and breast cancer-specific death among breast cancer patients overall and by menopausal status and hormone receptor status. Methods The study included 653 breast cancer patients admitted to a single hospital in Japan, between 1997 and 2005. BMI was assessed using a self-administered questionnaire. The patients were completely followed up until December, 2008. Hazard ratios (HRs and 95% confidence intervals (CIs were estimated according to quartile points of BMI categories, respectively: 2. Results During the follow-up period, 136 all-cause and 108 breast cancer-specific deaths were observed. After adjustment for clinical and confounding factors, higher BMI was associated with an increased risk of all-cause death (HR = 2.61; 95% CI: 1.01–6.78 for BMI ≥25.8 vs. ≥21.2 to 2 among premenopausal patients. According to hormonal receptor status, BMI ≥25.8 kg/m2 was associated with breast cancer-specific death (HR = 4.95; 95% CI: 1.05–23.35 and BMI 2 was associated with all-cause (HR = 2.91; 95% CI: 1.09–7.77 and breast cancer-specific death (HR = 7.23; 95% CI: 1.57–33.34 among patients with ER + or PgR + tumors. Analysis by hormonal receptor status also showed a positive association between BMI and mortality risk among patients with ER + or PgR + tumors and with BMI ≥21.2 kg/m2 (p for trend: 0.020 and 0.031 for all-cause and breast cancer-specific death, respectively. Conclusions Our results suggest that both higher BMI and lower BMI are associated

  1. Serum Creatinine Modifies Associations between Body Mass Index and Mortality and Morbidity in Prevalent Hemodialysis Patients

    Science.gov (United States)

    Sakao, Yukitoshi; Ojima, Toshiyuki; Yasuda, Hideo; Hashimoto, Seiji; Hasegawa, Takeshi; Iseki, Kunitoshi; Tsubakihara, Yoshiharu; Kato, Akihiko

    2016-01-01

    Background High body mass index (BMI) is paradoxically associated with better outcomes in hemodialysis (HD) patients. This study aimed to examine whether serum creatinine (Cr), a marker of muscle mass, could modify the association between BMI, and mortality and morbidity in prevalent HD patients. Methods A retrospective study was conducted using a nationwide database from the registry of the Japanese Society for Dialysis Therapy. A total of 119,099 patients were selected (age: 65±12 years; median time on HD: 5.6 years; male: 62%), and we examined the association of basal BMI with mortality and morbidity after a 1-year period. Patients were stratified either by BMI into 4 groups or by serum Cr levels into 3 tertiles. Odds ratio (OR) [95% confidence interval] was calculated by multivariate logistic regression analysis. Results Higher BMI did not predict a higher 1-year total mortality. However, when we stratified the patients by serum Cr levels, the risk of cardiac death became significantly higher in obese patients with the lowest Cr levels, in both males (OR 2.82 [1.51–5.27], p<0.01) and females (OR 2.00 [1.03–3.90], p<0.05). The risk of new cerebral infarction was also higher in obese male patients within the lowest Cr tertile. In contrast, there was a significantly lower risk of cardiac, cerebrovascular, and infection-related death in non-obese patients with higher levels of Cr. Higher serum Cr was also related to a lower risk of cardiovascular events and hip fracture in non-obese HD patients. Conclusions The obesity paradox was found to be present in HD patients only when obesity was defined by BMI. Decreased serum Cr levels were found to be positively associated with clinical poor outcomes in all BMI groups. Thus, irrespective of BMI, the evaluation of serum Cr levels is important to predict mortality and morbidity in patients receiving regular HD. PMID:26930325

  2. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    NARCIS (Netherlands)

    E.K. Speliotes (Elizabeth); C.J. Willer (Cristen); S.I. Berndt (Sonja); K.L. Monda (Keri); G. Thorleifsson (Gudmar); A.U. Jackson (Anne); H.L. Allen; C.M. Lindgren (Cecilia); J. Luan; R. Mägi (Reedik); J.C. Randall (Joshua); S. Vedantam (Sailaja); T.W. Winkler (Thomas); L. Qi (Lu); T. Workalemahu (Tsegaselassie); I.M. Heid (Iris); V. Steinthorsdottir (Valgerdur); H.M. Stringham (Heather); E. Wheeler (Eleanor); A.R. Wood (Andrew); T. Ferreira (Teresa); R.J. Weyant (Robert); A.V. Segrè (Ayellet); K. Eestrada (Karol); L. Liang (Liming); J. Nemesh (James); J.H. Park; S. Gustafsson (Stefan); T.O. Kilpeläinen (Tuomas); J. Yang (Joanna); N. Bouatia-Naji (Nabila); T. Eesko (Tõnu); M.F. Feitosa (Mary Furlan); Z. Kutalik (Zoltán); M. Mangino (Massimo); S. Raychaudhuri (Soumya); A. Scherag (Andre); A.V. Smith (Albert Vernon); R.P. Welch (Ryan); J.H. Zhao; K.K.H. Aben (Katja); D. Absher (Devin); N. Amin (Najaf); A.L. Dixon (Anna); E. Fisher (Eeva); N.L. Glazer (Nicole); M.E. Goddard (Michael); N.L. Heard-Costa (Nancy); V. Hoesel (Volker); J.J. Hottenga (Jouke Jan); A. Johansson (Åsa); T. Johnson (Toby); S. Ketkar (Shamika); C. Lamina (Claudia); S. Li (Shengxu); M.F. Moffatt (Miriam); R.H. Myers (Richard); N. Narisu (Narisu); J.R.B. Perry (John); M.J. Peters (Marjolein); M. Preuss (Michael); S. Ripatti (Samuli); F. Rivadeneira Ramirez (Fernando); C. Sandholt (Camilla); L.J. Scott (Laura); N. Timpson (Nicholas); J.P. Tyrer (Jonathan); S. van Wingerden (Sophie); C.C. White (Charles); F. Wiklund (Fredrik); C. Barlassina (Christina); D.I. Chasman (Daniel); M.N. Cooper (Matthew); J.O. Jansson; R.W. Lawrence (Robert); N. Pellikka (Niina); I. Prokopenko (Inga); J. Shi (Jianxin); E. Thiering (Eelisabeth); H. Alavere (Helene); M.T.S. Alibrandi (Maria); P. Almgren (Peter); A.M. Arnold (Alice); T. Aspelund (Thor); L.D. Atwood (Larry); B. Balkau (Beverley); A.J. Balmforth (Anthony); A.J. Bennett (Amanda); Y. Ben-Shlomo; R.N. Bergman (Richard); S.M. Bergmann (Sven); H. Biebermann (Heike); A.I.F. Blakemore (Alexandra); T. Boes (Tanja); L.L. Bonnycastle (Lori); S.R. Bornstein (Stefan); M.J. Brown (Morris); T.A. Buchanan (Thomas); F. Busonero; H. Campbell (Harry); F.P. Cappuccio (Francesco); C. Cavalcanti-Proença (Christine); Y.D.I. Chen (Yii-Der Ida); C.-M. Chen (Chih-Mei); P.S. Chines (Peter); R. Clarke; L. Coin (Lachlan); J. Connell (John); I.N.M. Day (Ian); M. den Heijer (Martin); J. Duan (Jubao); S. Eebrahim (Shah); P. Eelliott (Paul); R. Eelosua (Roberto); G. Eeiriksdottir (Gudny); M.R. Eerdos (Micheal); J.G. Eeriksson (Johan); M.F. Facheris (Maurizio); S.B. Felix (Stephan); P. Fischer-Posovszky (Pamela); A.R. Folsom (Aaron); N. Friedrich (Nele); N.B. Freimer (Nelson); M. Fu (Mao); S. Gaget (Stefan); P.V. Gejman (Pablo); E.J. Geus (Eeco); C. Gieger (Christian); A.P. Gjesing (Anette); A. Goel (Anuj); P. Goyette (Philippe); H. Grallert (Harald); J. Gräßler (Jürgen); D. Greenawalt (Danielle); C.J. Groves (Christopher); V. Gudnason (Vilmundur); C. Guiducci (Candace); A.L. Hartikainen; N. Hassanali (Neelam); A.S. Hall (Alistair); A.S. Havulinna (Aki); C. Hayward (Caroline); A.C. Heath (Andrew); C. Hengstenberg (Christian); A.A. Hicks (Andrew); A. Hinney (Anke); A. Hofman (Albert); G. Homuth (Georg); J. Hui (Jennie); W. Igl (Wilmar); C. Iribarren (Carlos); B. Isomaa (Bo); K.B. Jacobs (Kevin); I. Jarick (Ivonne); E. Jewell (Eelizabeth); U. John (Ulrich); T. Jørgensen (Torben); P. Jousilahti (Pekka); A. Jula (Antti); M. Kaakinen (Marika); E. Kajantie (Eero); R.C. Kaplan (Robert); S. Kathiresan (Sekar); J. Kettunen (Johannes); L. Kinnunen (Leena); J.W. Knowles (Joshua); I. Kolcic (Ivana); I.R. König (Inke); S. Koskinen (Seppo); P. Kovacs (Peter); J. Kusisto (Johanna); P. Kraft (Peter); K. Kvaløy (Kirsti); J. Laitinen (Jaana); O. Lantieri (Olivier); C. Lanzani (Chiara); L.J. Launer (Lenore); C. Lecoeur (Cécile); T. Lehtimäki (Terho); G. Lettre (Guillaume); J. Liu (Jianjun); M.L. Lokki; M. Lorentzon (Mattias); R.N. Luben (Robert); B. Ludwig (Barbara); P. Manunta (Paolo); D. Marek (Diana); M. Marre (Michel); N.G. Martin (Nicholas); W.L. McArdle (Wendy); M.I. McCarthy (Mark); B. McKnight (Barbara); T. Meitinger (Thomas); O. Melander (Olle); D. Meyre (David); K. Midthjell (Kristian); G.W. Montgomery (Grant); M.A. Morken (Mario); A.D. Morris (Andrew); R. Mulic (Rosanda); J.S. Ngwa; M. Nelis (Mari); M.J. Neville (Matthew); D.R. Nyholt (Dale); C.J. O'Ddonnell (Christopher); S. O'Rahilly (Stephen); K. Ong (Ken); B.A. Oostra (Ben); G. Paré (Guillaume); A.N. Parker (Alex); M. Perola (Markus); I. Pichler (Irene); K.H. Pietilainen (Kirsi Hannele); C.P. Platou (Carl); O. Polasek (Ozren); A. Pouta (Anneli); S. Rafelt (Suzanne); O. Raitakari (Olli); N.W. Rayner (Nigel William); M. Ridderstråle (Martin); W. Rief (Winfried); A. Ruokonen (Aimo); N.R. Robertson (Neil); P. Rzehak (Peter); V. Salomaa (Veikko); A.R. Sanders (Alan); M.S. Sandhu (Manjinder); S. Sanna (Serena); J. Saramies (Jouko); M.J. Savolainen (Markku); S. Schipf (Sabine); S. Schreiber (Stefan); H. Schunkert (Heribert); K. Silander (Kaisa); J. Sinisalo (Juha); D.S. Siscovick (David); J.H. Smit (Jan); N. Soranzo (Nicole); U. Sovio (Ulla); J. Stephens (Jonathan); I. Surakka (Ida); A.J. Swift (Amy); M.L. Tammesoo; J.-C. Tardif (Jean-Claude); M. Teder-Laving (Maris); T.M. Teslovich (Tanya); J.R. Thompson (John); B. Thomson (Brian); A. Tönjes (Anke); T. Tuomi (Tiinamaija); J.B.J. van Meurs (Joyce); G.J. van OMen; V. Vatin (Vincent); J. Viikari (Jorma); S. Visvikis-Siest (Sophie); V. Vitart (Veronique); C.I. Vogel (Carla); B.F. Voight (Benjamin); L. Waite (Lindsay); H. Wallaschofski (Henri); G.B. Walters (Bragi); E. Widen (Elisabeth); S. Wiegand (Susanna); S.H. Wild (Sarah); G.A.H.M. Willemsen (Gonneke); D.R. Witte (Deniel); J.C.M. Witteman (Jacqueline); J. Xu (Jianfeng); Q. Zhang (Qunyuan); L. Zgaga (Lina); A. Ziegler (Andreas); P. Zitting (Paavo); J.P. Beilby (John); I.S. FarOqi (Ssadaf); J. Hebebrand (Johannes); H.V. Huikuri (Heikki); A. James (Alan); M. Kähönen (Mika); D.F. Levinson (Douglas); F. MacCiardi (Fabio); M.S. Nieminen (Markku); C. Ohlsson (Claes); C. Palmer (Cameron); P.M. Ridker (Paul); M. Stumvoll (Michael); J.S. Beckmann (Jacques); H. Boeing (Heiner); E.A. Boerwinkle (Eric); D.I. Boomsma (Dorret); M. Caulfield (Mark); S.J. Chanock (Stephen); F.S. Collins (Francis); L.A. Cupples (Adrienne); J. Eerdmann (Jeanette); P. Frogue (Philippe); H. Grönberg (Henrik); U. Gyllensten (Ulf); T. Hansen (Torben); T.B. Harris (Tamara); A.T. Hattersley (Andrew); R.B. Hayes (Richard); J. Heinrich (Joachim); F.B. Hu (Frank); K. Hveem (Kristian); T. Illig (Thomas); M.R. Järvelin; J. Kaprio (Jaakko); F. Karpe (Fredrik); K-T. Khaw (Kay-Tee); L.A.L.M. Kiemeney (Bart); H. Krude; M. Laakso (Markku); D.A. Lawlor (Debbie); A. Metspalu (Andres); P. Munroe (Patricia); W.H. Ouwehand (Willem); O. Pedersen (Oluf); B.W.J.H. Penninx (Brenda); P.P. Pramstaller (Peter Paul); T. Quertermous (Thomas); T. Reinehr (Thomas); A. Rissanen (Aila); I. Rudan (Igor); N.J. Samani (Nilesh); P.E.H. Schwarz (Peter); A.R. Shuldiner (Alan); T.D. Spector (Timothy); J. Tuomilehto (Jaakko); M. Uda (Manuela); A.G. Uitterlinden (André); T.T. Valle (Timo); M. Wabitsch (Martin); G. Waeber (Gérard); N.J. Wareham (Nick); H. Watkins (Hugh); J.F. Wilson (James); A.F. Wright (Alan); M.C. Zillikens (Carola); N. ChatterjE (Nilanjan); S.A. McCarroll (Steve); S. Purcell (Shaun); E.E. Schadt (Eric); P.M. Visscher (Peter); T.L. Assimes (Themistocles); I.B. Borecki (Ingrid); P. Deloukas (Panagiotis); C.S. Fox (Caroline); L. Groop (Leif); T. Haritunians (Talin); D.J. Hunter (David); K.L. Mohlke (Karen); J.R. O'ConneL (Jeffrey); L. Peltonen (Leena Johanna); D. SchleSinger (David); D.P. Strachan (David); R.M. Watanabe (Richard); C.M. van Duijn (Cock); H.E. Wichmann (Heinz Erich); T.M. Frayling (Timothy); U. Thorsteinsdottir (Unnur); G.R. Abecasis (Gonçalo); M. Boehnke (Michael); K. StefanSon (Kari); K.E. North (Kari); M.I. McArthy (Mark); J.N. Hirschhorn (Joel); E. IngelSon (Erik); R.J.F. Loos (Ruth); M.N. Weedon (Michael)

    2010-01-01

    textabstractObesity is globaLy prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined aSociations betwEn body maS index and ĝ̂1/42.8 miLion SNPs in up to 123,865 individuals with targeted foLow up of

  3. Perceived body image in men and women with type 2 diabetes mellitus: correlation of body mass index with the figure rating scale

    OpenAIRE

    Fox Kathleen M; Bazata Debbra D; Bays Harold E; Grandy Susan; Gavin James R

    2009-01-01

    Abstract Background Body mass index (BMI) is often used as an objective surrogate estimate of body fat. Increased BMI is directly associated with an increase in metabolic disease, such as type 2 diabetes mellitus (T2DM). The Stunkard Figure Rating Scale (FRS) is a subjective measure of body fat, and self-perceptions of body image conceivably impact the development and treatment of T2DM. This study examined the self-perception of body image to various levels of BMI among those with T2DM. Metho...

  4. Body Fat Percentages by Dual-energy X-ray Absorptiometry Corresponding to Body Mass Index Cutoffs for Overweight and Obesity in Indian Children

    OpenAIRE

    Pandit, Deepa; Chiplonkar, Shashi; Khadilkar, Anuradha; Khadilkar, Vaman; Ekbote, Veena

    2009-01-01

    Background: Indians are suspected to have higher body fat percent at a given body mass index (BMI) than their western counterparts. Objective: To estimate percent body fat in apparently healthy Indian children and adolescents by dual-energy X-ray absorptiometry (DXA) and explore linkages of BMI with body fat percent for better health risk assessment. Methods: Age, weight, height of 316 boys and 250 girls (6–17 years) were recorded. Body composition was measured by dual-energy X-ray absorptiom...

  5. Relationship between Mid-Upper Arm Circumference and Body Mass Index in Inpatients

    Science.gov (United States)

    Benítez Brito, Néstor; Suárez Llanos, José Pablo; Fuentes Ferrer, Manuel; Oliva García, Jose Gregorio; Delgado Brito, Irina; Pereyra-García Castro, Francisca; Caracena Castellanos, Nieves; Acevedo Rodríguez, Candelaria Xiomara; Palacio Abizanda, Enrique

    2016-01-01

    Introduction Nutritional screening is a fundamental aspect of the initial evaluation of the hospitalised patient. Body Mass Index (BMI) in association with other parameters is a good marker of malnutrition (<18.5 kg/m2), but it presents the handicap that the great majority of patients cannot be weighed and measured. For this reason it is necessary to find other indicators that can be measured in these patients. Objectives 1) Analyse the relationship between BMI and Mid-Upper Arm Circumference (MUAC); 2) establish a cut-off point of MUAC equivalent to BMI <18.5 kg/m2. Materials and Methods The anthropometric data of patients hospitalised over the period 2004–2013 were retrospectively revised. The following variables were collected: weight, height, BMI, MUAC, sex and age. Results 1373 patients were evaluated, who presented a mean weight of: 65.04±15.51 kg; height: 1.66±0.09 m; BMI: 23.48±5.03 kg/m2; MUAC: 26.95±4.50 cm; age: 56.24±16.77. MUAC correlates suitably to BMI by means of the following equation (simple linear regression): BMI = − 0.042 + 0.873 x MUAC (cm) (R2 = 0.609), with a Pearson r value of 0.78 (p<0.001). The area under the curve of MUAC for the diagnosis of malnutrition was 0.92 (95% CI: 0.90–0.94; p<0.001). The MUAC value ≤22.5 cm presented a sensitivity of 67.7%, specificity of 94.5%, and a correct classification of 90%. No significant statistical differences were found in the cut-off point of MUAC for the diagnosis of malnutrition based on sex (p = 0.115) and age (p = 0.694). Conclusions 1) MUAC correlates positively and significantly with BMI. 2) MUAC ≤ 22.5 cm correlates properly with a BMI of <18.5 kg/m2, independent of the age or sex of the patient, although there are other alternatives. MUAC constitutes a useful tool as a marker of malnutrition, fundamentally in patients for whom weight and height cannot be determined. PMID:27494612

  6. WHO European Childhood Obesity Surveillance Initiative: School Nutrition Environment and Body Mass Index in Primary Schools

    Directory of Open Access Journals (Sweden)

    Trudy M.A. Wijnhoven

    2014-10-01

    Full Text Available Background: Schools are important settings for the promotion of a healthy diet and sufficient physical activity and thus overweight prevention. Objective: To assess differences in school nutrition environment and body mass index (BMI in primary schools between and within 12 European countries. Methods: Data from the World Health Organization (WHO European Childhood Obesity Surveillance Initiative (COSI were used (1831 and 2045 schools in 2007/2008 and 2009/2010, respectively. School personnel provided information on 18 school environmental characteristics on nutrition and physical activity. A school nutrition environment score was calculated using five nutrition-related characteristics whereby higher scores correspond to higher support for a healthy school nutrition environment. Trained field workers measured children’s weight and height; BMI-for-age (BMI/A Z-scores were computed using the 2007 WHO growth reference and, for each school, the mean of the children’s BMI/A Z-scores was calculated. Results: Large between-country differences were found in the availability of food items on the premises (e.g., fresh fruit could be obtained in 12%-95% of schools and school nutrition environment scores (range: 0.30-0.93. Low-score countries (Bulgaria, Czech Republic, Greece, Hungary, Latvia and Lithuania graded less than three characteristics as supportive. High-score (≥0.70 countries were Ireland, Malta, Norway, Portugal, Slovenia and Sweden. The combined absence of cold drinks containing sugar, sweet snacks and salted snacks were more observed in high-score countries than in low-score countries. Largest within-country school nutrition environment scores were found in Bulgaria, Czech Republic, Greece, Hungary, Latvia and Lithuania. All country-level BMI/A Z-scores were positive (range: 0.20-1.02, indicating higher BMI values than the 2007 WHO growth reference. With the exception of Norway and Sweden, a country-specific association between the

  7. A pooled analysis of body mass index and mortality among African Americans.

    Directory of Open Access Journals (Sweden)

    Sarah S Cohen

    Full Text Available Pooled analyses among whites and East Asians have demonstrated positive associations between all-cause mortality and body mass index (BMI, but studies of African Americans have yielded less consistent results. We examined the association between BMI and all-cause mortality in a sample of African Americans pooled from seven prospective cohort studies: NIH-AARP, 1995-2009; Adventist Health Study 2, 2002-2008; Black Women's Health Study, 1995-2009; Cancer Prevention Study II, 1982-2008; Multiethnic Cohort Study, 1993-2007; Prostate, Lung, Colorectal and Ovarian Screening Trial, 1993-2009; Southern Community Cohort Study, 2002-2009. 239,526 African Americans (including 100,175 never smokers without baseline heart disease, stroke, or cancer, age 30-104 (mean 52 and 71% female, were followed up to 26.5 years (mean 11.7. Hazard ratios (HR and 95% confidence intervals (CI for mortality were derived from multivariate Cox proportional hazards models. Among healthy, never smokers (11,386 deaths, HRs (CI for BMI 25-27.4, 27.5-29.9, 30-34.9, 35-39.9, 40-49.9, and 50-60 kg/m(2 were 1.02 (0.92-1.12, 1.06 (0.95-1.18, 1.32 (1.18-1.47, 1.54 (1.29-1.83, 1.93 (1.46-2.56, and 1.93 (0.80-4.69, respectively among men and 1.06 (0.99-1.15, 1.15 (1.06-1.25, 1.24 (1.15-1.34, 1.58 (1.43-1.74, 1.80 (1.60-2.02, and 2.31 (1.74-3.07 respectively among women (reference category 22.5-24.9. HRs were highest among those with the highest educational attainment, longest follow-up, and for cardiovascular disease mortality. Obesity was associated with a higher risk of mortality in African Americans, similar to that observed in pooled analyses of whites and East Asians. This study provides compelling evidence to support public health efforts to prevent excess weight gain and obesity in African Americans.

  8. Identification of POMC exonic variants associated with substance dependence and body mass index.

    Directory of Open Access Journals (Sweden)

    Fan Wang

    Full Text Available BACKGROUND: Risk of substance dependence (SD and obesity has been linked to the function of melanocortin peptides encoded by the proopiomelanocortin gene (POMC. METHODS AND RESULTS: POMC exons were Sanger sequenced in 280 African Americans (AAs and 308 European Americans (EAs. Among them, 311 (167 AAs and 114 EAs were affected with substance (alcohol, cocaine, opioid and/or marijuana dependence and 277 (113 AAs and164 EAs were screened controls. We identified 23 variants, including two common polymorphisms (rs10654394 and rs1042571 and 21 rare variants; 12 of which were novel. We used logistic regression to analyze the association between the two common variants and SD or body mass index (BMI, with sex, age, and ancestry proportion as covariates. The common variant rs1042571 in the 3'UTR was significantly associated with BMI in EAs (Overweight: P(adj = 0.005; Obese: P(adj = 0.018; Overweight+Obese: P(adj = 0.002 but not in AAs. The common variant, rs10654394, was not associated with BMI and neither common variant was associated with SD in either population. To evaluate the association between the rare variants and SD or BMI, we collapsed rare variants and tested their prevalence using Fisher's exact test. In AAs, rare variants were nominally associated with SD overall and with specific SD traits (SD: P(FET,1df = 0.026; alcohol dependence: P(FET,1df = 0.027; cocaine dependence: P(FET,1df = 0.007; marijuana dependence: P(FET,1df = 0.050 (the P-value from cocaine dependence analysis survived Bonferroni correction. There was no such effect in EAs. Although the frequency of the rare variants did not differ significantly between the normal-weight group and the overweight or obese group in either population, certain rare exonic variants occurred only in overweight or obese subjects without SD. CONCLUSION: These findings suggest that POMC exonic variants may influence risk for both SD and elevated BMI, in a population-specific manner. However, common

  9. Relationship between Body Mass Index and Outcome of Elective Percutaneous Coronary Intervention

    Directory of Open Access Journals (Sweden)

    Mohammad Alidoosti

    2015-10-01

    Full Text Available Background: Studies have shown controversial effects of obesity on major adverse cardiac events (MACE after percutaneous coronary intervention (PCI. We sought to investigate the impact of the body mass index (BMI on the mid-term outcome following successful PCI.Methods: Between March 2006 and August 2008, 3948 patients underwent successful elective PCI in Tehran Heart Center, Tehran, Iran, and were retrospectively included in this study. Patients who underwent PCI on the same day as the occurrence of myocardial infarction were excluded. The demographic, procedural, in-hospital, and follow-up information of these patients was extracted from the PCI Data Registry of our institution. The patients were divided into three groups:  normal weight (No. 1058, BMI < 25 kg/m2 age = 58 ± 10 years; overweight (No. 1867, 25 ≤ BMI < 30 kg/m2, age = 57 ± 10 years; and obese (No. 1023, BMI ≥ 30 kg/m2, age = 56 ± 10 years. MACE included death, myocardial infarction, target vessel revascularization, and target lesion revascularization.Results: Compared with the other patients, the obese individuals were significantly younger and more frequently female, had a higher ejection fraction, and more frequently presented with hypertension, diabetes, and hyperlipidemia. There was no association between the BMI and the angiographic and procedural findings in the univariate analysis. While no difference was found in the rate of in-hospital death between the groups, the number of the obese patients undergoing emergent cardiac surgery was marginally different in the univariate analysis (p value = 0.06. At 9 months' follow-up, MACE had occurred in 92 (2.3% patients and cardiac mortality was 9 (0.2%. After adjustments for confounders, no significant difference was observed in terms of MACE between the BMI groups.Conclusion: The BMI had no significant effect on the rate of MACE at 9 months' follow-up in our study population. Interventionists' recommendations for patients

  10. Correlation between body mass index and chondral lesions in isolated medial meniscus tears

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    Barak Haviv

    2015-01-01

    Full Text Available Background:Chondral lesions of the knee are commonly found during arthroscopic partial meniscectomy. The literature advises against arthroscopic medial meniscectomy in the presence of advanced chondral derangement because of unfavorable outcome. Recent studies have shown an association between obesity and chondropathy in patients with meniscal tears. The aim of this study was to assess whether body mass index (BMI correlates with the severity of chondral lesions in patients with isolated medial meniscus tears (i.e. without ligamentous or lateral meniscal injury. Materials and Methods: 837 knee arthroscopies were performed in a regional referral center of arthroscopic surgery between January 2011 and December 2012. Of these 168 (109 males, 59 females patients with no axial knee deformity and no radiological signs of osteoarthritis who have had arthroscopic debridement for isolated torn medial meniscus were included in the study. The correlation between different demographic factors and the level of chondral damage reported at surgery was evaluated. The mean age of patient was 50 years (range 13-82 years and an average BMI was 28.2 kg/m [2] (range17.5-42.5 kg/m [2] . Results: Overall, regression analysis showed both age and BMI to be linearly correlated to chondral score (r = 0.53, P < 0.04; however, there were no advanced chondral lesions found in patients younger than 40 years of age and all severe lesions were at age 50 years or more. Therefore, further analysis was performed for age subgroups: patients were grouped as younger than 40, between the age of 40 and 50 (middle age and older than 50 years. The BMI was linearly correlated to the severity of chondral score exclusively in the middle aged group (i.e. 40-50 years old. There was no correlation between activity level and chondral damage. Women had worse chondral lesions than men in all age groups. Conclusion: Higher BMI in middle aged patients with isolated medial meniscus tears and

  11. The neighborhood social environment and body mass index among youth: a mediation analysis

    Directory of Open Access Journals (Sweden)

    Veitch Jenny

    2012-03-01

    Full Text Available Abstract Background This study aimed to examine associations between aspects of the neighborhood social environment and body mass index (BMI in youth both cross-sectionally and prospectively; and whether this association was mediated by physical activity, screen-time and sedentary time. Methods Data were collected in 2004 and 2006 in high and low socio-economic areas of Melbourne, Australia. In 2004, 185 children aged 8-9 years (47% boys and 359 children aged 13-15 years (45% boys participated. Parents reported their perceptions of aspects of the social environment (i.e. social networks and social trust/cohesion, and physical activity (i.e. time spent outdoors by their children; and their younger children's walking and cycling trips and screen-time (i.e. TV viewing, computer use. The older children self-reported their walking and cycling trips and their screen-time. All children wore an accelerometer to objectively assess outside-school hours moderate- to-vigorous physical activity and sedentary time. BMI was calculated from height and weight measured in 2004 and 2006. Multilevel linear regression analyses were conducted to examine associations between the social environment and BMI. Mediation analyses using the products of coefficient method were conducted to determine whether associations between the social environment and BMI were mediated by the time spent in a range of physical activity and sedentary behaviors. Results Cross-sectional and prospective regression analyses showed that a more positive social network and higher social trust/cohesion was related to lower BMI among children. There was no evidence that time spent in physical activity or sedentary behaviors mediated this relation, despite significant associations between social networks and screen-time and between screen-time and BMI. Conclusions The findings suggest that the neighborhood social environment may be important for preventing overweight and obesity in children. Further

  12. Body mass index of 16-year olds in urban Maseru, Lesotho

    Directory of Open Access Journals (Sweden)

    Violet L. van den Berg

    2014-01-01

    Full Text Available Background: Overweight and/or obesity amongst children and adolescents is a global epidemic with health consequences that track into adulthood. No data are currently available regarding overweight/obesity amongst adolescents in Lesotho.Aim and setting: To assess the prevalence of overweight and/or obesity and the associated risk factors amongst 16-year olds in urban Maseru, Lesotho.Method: A cross-sectional descriptive study was conducted on a systematic sample of 16-year olds ingrade four (N = 221; 56.6% girls from randomly-selected schools in urban Maseru. Diet histories and data on lifestyle, physical activity and knowledge, attitudes and/or perceptions and practices regarding nutrition were obtained during structured interviews and body mass index (BMI was determined.Results: Amongst these 16-year olds, 27.2% girls and 8.3% boys were overweight and/or obese based on World Health Organization cut-offs for BMI; 39.8% were insufficiently active or inactive;6.4% used alcohol regularly; and 11.7% used tobacco. Whilst 28.1% reported no television watching/electronic gaming/computer usage (combined screen time outside school, 23.6% reported ≥ 4 hours of combined screen time outside school. Most (91.4% consumed < 3 servings of vegetables/day; 86.4% consumed < 2 servings of fruits/day; and 95.5% consumed < 2 servings of dairy/day. The majority consumed maize porridge (56.1%, bread (63.8% and margarine/oil/fat (82.3% daily and added sugar to their food (74.2%. Fruits, vegetables, dairy, meat, pulses and traditional foods were only consumed weekly or less often. Most bought from tuck shops (18.6% daily; 54.3% weekly. Various gaps in knowledge, perceptions and practices were identified that may benefit from educational intervention.Conclusions: The current study identifies westernised dietary and lifestyle changes, along with overweight and/or obesity, amongst 16-year old adolescents in Lesotho.

  13. Associations of built food environment with body mass index and waist circumference among youth with diabetes

    Directory of Open Access Journals (Sweden)

    Lamichhane Archana P

    2012-06-01

    Full Text Available Abstract Background Youth with diabetes are at increased risk for obesity and cardiovascular disease complications. However, less is known about the influence of built food environment on health outcomes in this population. The aim of this study was to explore the associations of accessibility and availability of supermarkets and fast food outlets with Body Mass Index (BMI z-score and waist circumference among youth with diabetes. Methods Information on residential location and adiposity measures (BMI z-score and waist circumference for 845 youths with diabetes residing in South Carolina was obtained from the South Carolina site of the SEARCH for Diabetes in Youth study. Food outlets data obtained from the South Carolina Department of Health and Environmental Control and InfoUSA were merged based on names and addresses of the outlets. The comprehensive data on franchised supermarket and fast food outlets was then used to construct three accessibility and availability measures around each youth’s residence. Results Increased number and density of chain supermarkets around residence location were associated with lower BMI z-score and waist circumference among youth with diabetes. For instance, for a female child of 10 years of age with height of 54.2 inches and weight of 70.4 pounds, lower supermarket density around residence location was associated with about 2.8–3.2 pounds higher weight, when compared to female child of same age, height and weight with highest supermarket density around residence location. Similarly, lower supermarket density around residence location was associated with a 3.5–3.7 centimeter higher waist circumference, when compared to residence location with the highest supermarket density. The associations of number and density of chain fast food outlets with adiposity measures, however, were not significant. No significant associations were observed between distance to the nearest supermarket and adiposity measures

  14. Variability in the heritability of body mass index: a systematic review and meta-regression

    Directory of Open Access Journals (Sweden)

    Cathy E Elks

    2012-02-01

    Full Text Available Evidence for a major role of genetic factors in the determination of body mass index (BMI comes from studies of related individuals. However, heritability estimates for BMI vary widely between studies and the reasons for this remain unclear. While some variation is natural due to differences between populations and settings, study design factors may also explain some of the heterogeneity. We performed a systematic review that identified eighty-eight independent estimates of BMI heritability from twin studies (total 140,525 twins and twenty-seven estimates from family studies (42,968 family members. BMI heritability estimates from twin studies ranged from 0.47 to 0.90 (5th/50th/95th centiles: 0.58/0.75/0.87 and were generally higher than those from family studies (range: 0.24-0.81; 5th/50th/95th centiles: 0.25/0.46/0.68. Meta-regression of the results from twin studies showed that BMI heritability estimates were 0.07 (P=0.001 higher in children than in adults; estimates increased with mean age among childhood studies (+0.012 per year, P=0.002, but decreased with mean age in adult studies (-0.002 per year, P=0.002. Heritability estimates derived from AE twin models (which assume no contribution of shared environment were 0.12 higher than those from ACE models (P<0.001, whilst lower estimates were associated with self-reported versus DNA-based determination of zygosity (-0.04, P=0.02, and with self-reported versus measured BMI (-0.05, P=0.03. Together, the above factors explained 47% of the heterogeneity in estimates of BMI heritability from twin studies. In summary, while some variation in BMI heritability is expected due to population-level differences, study design factors explained nearly half the heterogeneity reported in twin studies. The genetic contribution to BMI appears to vary with age and may have a greater influence during childhood than adult life.

  15. FTO genetic variants, dietary intake and body mass index: insights from 177 330 individuals

    Science.gov (United States)

    Qi, Qibin; Kilpeläinen, Tuomas O.; Downer, Mary K.; Tanaka, Toshiko; Smith, Caren E.; Sluijs, Ivonne; Sonestedt, Emily; Chu, Audrey Y.; Renström, Frida; Lin, Xiaochen; Ängquist, Lars H.; Huang, Jinyan; Liu, Zhonghua; Li, Yanping; Asif Ali, Muhammad; Xu, Min; Ahluwalia, Tarunveer Singh; Boer, Jolanda M.A.; Chen, Peng; Daimon, Makoto; Eriksson, Johan; Perola, Markus; Friedlander, Yechiel; Gao, Yu-Tang; Heppe, Denise H.M.; Holloway, John W.; Houston, Denise K.; Kanoni, Stavroula; Kim, Yu-Mi; Laaksonen, Maarit A.; Jääskeläinen, Tiina; Lee, Nanette R.; Lehtimäki, Terho; Lemaitre, Rozenn N.; Lu, Wei; Luben, Robert N.; Manichaikul, Ani; Männistö, Satu; Marques-Vidal, Pedro; Monda, Keri L.; Ngwa, Julius S.; Perusse, Louis; van Rooij, Frank J.A.; Xiang, Yong-Bing; Wen, Wanqing; Wojczynski, Mary K; Zhu, Jingwen; Borecki, Ingrid B.; Bouchard, Claude; Cai, Qiuyin; Cooper, Cyrus; Dedoussis, George V.; Deloukas, Panos; Ferrucci, Luigi; Forouhi, Nita G.; Hansen, Torben; Christiansen, Lene; Hofman, Albert; Johansson, Ingegerd; Jørgensen, Torben; Karasawa, Shigeru; Khaw, Kay-Tee; Kim, Mi-Kyung; Kristiansson, Kati; Li, Huaixing; Lin, Xu; Liu, Yongmei; Lohman, Kurt K.; Long, Jirong; Mikkilä, Vera; Mozaffarian, Dariush; North, Kari; Pedersen, Oluf; Raitakari, Olli; Rissanen, Harri; Tuomilehto, Jaakko; van der Schouw, Yvonne T.; Uitterlinden, André G.; Zillikens, M. Carola; Franco, Oscar H.; Shyong Tai, E.; Ou Shu, Xiao; Siscovick, David S.; Toft, Ulla; Verschuren, W.M. Monique; Vollenweider, Peter; Wareham, Nicholas J.; Witteman, Jacqueline C.M.; Zheng, Wei; Ridker, Paul M.; Kang, Jae H.; Liang, Liming; Jensen, Majken K.; Curhan, Gary C.; Pasquale, Louis R.; Hunter, David J.; Mohlke, Karen L.; Uusitupa, Matti; Cupples, L. Adrienne; Rankinen, Tuomo; Orho-Melander, Marju; Wang, Tao; Chasman, Daniel I.; Franks, Paul W.; Sørensen, Thorkild I.A.; Hu, Frank B.; Loos, Ruth J. F.; Nettleton, Jennifer A.; Qi, Lu

    2014-01-01

    FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177 330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m2, P = 1.9 × 10−105), and all participants (0.30 [0.30, 0.35] kg/m2, P = 3.6 × 10−107). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] %, P = 2.4 × 10−16), and relative weak associations with lower total energy intake (−6.4 [−10.1, −2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (−0.07 [−0.11, −0.02] %, P = 0.004). The associations with protein (P = 7.5 × 10−9) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity. PMID:25104851

  16. The normal range of body mass index with high body fat percentage among male residents of Lucknow city in north India

    OpenAIRE

    Kesavachandran, Chandrasekharan Nair; Bihari, Vipin; Mathur, Neeraj

    2012-01-01

    Background & objectives: Several studies have raised the suspicion that the body mass index (BMI) cut-off for overweight as defined by the WHO may not adequately reflect the actual overweight status. The present study looked at the relationship between BMI and body fat per cent (BF %) / health risks (hypertension and type 2 diabetes) in male residents of Lucknow city, north India to evaluate the validity of BMI cut-off points for overweight. Methods: One thousand one hundred and eleven male v...

  17. Evaluation of Body Mass Index and Survival of Nasopharyngeal Carcinoma by Propensity-Matched Analysis: An Observational Case-Control Study.

    Science.gov (United States)

    OuYang, Pu-Yun; Zhang, Lu-Ning; Tang, Jie; Lan, Xiao-Wen; Xiao, Yao; Gao, Yuan-Hong; Ma, Jun; Xie, Fang-Yun

    2016-01-01

    The effect of pretreatment body mass index on survival of nasopharyngeal carcinoma remains contradictory.All patients (N = 1778) underwent intensity-modulated radiotherapy with or without chemotherapy. Body mass index was categorized as underweight (support for early nutritional intervention during the long waiting time before treatment. PMID:26765414

  18. Exploring the relation between body mass index, diet, and dental caries among 6-12-year-old children

    OpenAIRE

    A Elangovan; J Mungara; Joseph, E

    2012-01-01

    Background and Aim: Childhood overweight and obesity are becoming a major public health concern all over the world. Change in lifestyles and economic growth have led to sedentary lifestyle and altered dietary patterns. There are conflicting reports in the literature regarding the association between body mass index (BMI) and dental caries from various parts of the world. The aim of the present study was to determine if there is an association between BMI-for-age and dental caries in children ...

  19. Quality of life and body mass index in overweight adult women with polycystic ovary syndrome during a lifestyle modification program

    OpenAIRE

    De Frène, Veerle; Verhofstadt, Lesley; Lammertyn, Jan; STUYVER, ISABELLE; Buysse, Ann; De Sutter, Petra

    2015-01-01

    Objective: To evaluate changes in body mass index (BMI) and health-related quality of life (HRQoL), including an acne parameter, of overweight adult women with polycystic ovary syndrome (PCOS) during a lifestyle modification program. Design: Prospective longitudinal within-patient study. Setting: Department of Reproductive Medicine of the Ghent University Hospital (Belgium). Participants: Thirty-three overweight (BMI >= 25 kg/m(2)) women with PCOS between age 18 and 43 years. ...

  20. Nutrition and physical activity randomized control trial in child care centers improves knowledge, policies, and children's body mass index.

    OpenAIRE

    Alkon, A; Crowley, AA; Neelon, SE; Hill, S.; Pan, Y.; Nguyen, V.; Rose, R.; Savage, E; Forestieri, N; Shipman, L; Kotch, JB

    2014-01-01

    BACKGROUND: To address the public health crisis of overweight and obese preschool-age children, the Nutrition And Physical Activity Self Assessment for Child Care (NAP SACC) intervention was delivered by nurse child care health consultants with the objective of improving child care provider and parent nutrition and physical activity knowledge, center-level nutrition and physical activity policies and practices, and children's body mass index (BMI). METHODS: A seven-month randomized control tr...

  1. State Disparities in Time Trends of Adolescent Body Mass Index Percentile and Weight-Related Behaviors in the United States

    OpenAIRE

    Taber, Daniel R.; Stevens, June; Poole, Charles; Maciejewski, Matthew L.; Evenson, Kelly R.; Ward, Dianne S

    2012-01-01

    Evidence is conflicting as to whether youth obesity prevalence has reached a plateau in the United States overall. Trends vary by state, and experts recommend exploring whether trends in weight-related behaviors are associated with changes in weight status trends. Thus, our objective was to estimate between-state variation in time trends of adolescent body mass index (BMI) percentile and weight-related behaviors from 2001 to 2007. A time series design combined cross-sectional Youth Risk Behav...

  2. Determinants of Body Mass Index and Intelligence Quotient of Elementary School Children in Mountain Area of Nepal: An Explorative Study

    OpenAIRE

    Chhabi Ranabhat; Chun-Bae Kim; Myung Bae Park; Chang Soo Kim; Leila Freidoony

    2016-01-01

    The physical growth and cognitive development of elementary school children are very crucial and this group is large in number but has little research dedicated to it. The physical growth and cognitive development of children occur simultaneously and can be measured by body mass index (BMI) and intelligence quotient (IQ). Previous studies could not sufficiently focus on both aspects. The aim of this study was to identify determinants of BMI and IQ of students in two elementary schools in the ...

  3. Relation of intelligence quotient and body mass index in preschool children: a community-based cross-sectional study

    OpenAIRE

    Tabriz, A A; Sohrabi, M-R; Parsay, S; Abadi, A; Kiapour, N; Aliyari, M; Ahmadi, F.; Roodaki, A

    2015-01-01

    Objective: Overweight and obesity in children is a global problem. Besides physical effects, obesity has harmful psychological effects on children. Methods: We carried out cross-sectional community-based study to investigate the relation between body mass index (BMI) and cognitive functioning in preschool children. Thirteen socioeconomical elements of 1151 children were measured and analyzed based on their intelligence quotient (IQ) test results. Thirteen out of 33 provinces were selected ran...

  4. Effects of a Two-Month Training Period on Soldiers’ General Health, Social Physique Anxiety, and Body Mass Index

    OpenAIRE

    Dehghanizade; Najafipour

    2016-01-01

    Background Changes in the environment and living conditions are associated with changes in physical and cognitive functions. Objectives The aim of this study was to examine the effects of a two-month military service period on soldiers’ general health, social physique anxiety, and body mass index. Materials and Methods: The sample included all soldiers in Isfahan’s army garrison training period. A 28-item questionnaire on general ...

  5. Pregnancy outcomes in a cohort of women with a preconception body mass index >50 kg/m²

    DEFF Research Database (Denmark)

    Bonnesen, Barbara; Secher, Niels J; Møller, Lars K;

    2013-01-01

    We describe characteristics and risk factors regarding pregnancy outcome in women with a preconception body mass index (BMI) >50 kg/m(2) compared with women with BMI ≤50 kg/m(2) in a retrospective population cohort study in singleton pregnancies from the Danish Medical Birth Registry. Results were...... women with BMI ≤50 kg/m(2) . Women with an extremely high preconception BMI develop more pregnancy complications and their neonates appear affected by this as well....

  6. Neighborhood food environment and body mass index among Japanese older adults: results from the Aichi Gerontological Evaluation Study (AGES)

    OpenAIRE

    Hirai Hiroshi; Ojima Toshiyuki; Nakade Miyo; Nakaya Tomoki; Kondo Katsunori; Hanibuchi Tomoya; Kawachi Ichiro

    2011-01-01

    Abstract Background The majority of studies of the local food environment in relation to obesity risk have been conducted in the US, UK, and Australia. The evidence remains limited to western societies. The aim of this paper is to examine the association of local food environment to body mass index (BMI) in a study of older Japanese individuals. Methods The analysis was based on 12,595 respondents from cross-sectional data of the Aichi Gerontological Evaluation Study (AGES), conducted in 2006...

  7. Developmental trajectories of body mass index and emotional-behavioral functioning of underweight children: A longitudinal study

    OpenAIRE

    Cimino, Silvia; Cerniglia, Luca; Almenara, Carlos A.; Jezek, Stanislav; Erriu, Michela; Tambelli, Renata

    2016-01-01

    Although several studies have addressed developmental trajectories from childhood to adolescence of internalizing/externalizing problems, limited attention has been given to underweight children. Two groups were recruited for this study from a community sample: underweight (Ug, N = 80, 50% female) and normal weight (NWg, N = 80, 50% female) to examine the developmental trajectories of body mass index and emotional-behavioral functioning of underweight children from the age two years, and thei...

  8. Physical Activity, Body Mass Index, and Cardiorespiratory Fitness among School Children in Taiwan: A Cross-Sectional Study

    OpenAIRE

    Pei-Lin Hsieh; Min-Li Chen; Chiu-Mieh Huang; Wen-Chyuan Chen; Chun-Huei Li; Li-Chun Chang

    2014-01-01

    There is evidence that cardiorespiratory fitness and physical activity significantly reduce cardiovascular risks in adults. A better understanding of the association between cardiorespiratory fitness, physical activity, and childhood obesity is vital in assessing the benefits of interventions to prevent obesity. This study was to examine the relationship between physical activity, body mass index, and cardiorespiratory fitness levels in Taiwanese children. A cross-sectional study was designed...

  9. The Severity of Dysmenorrhea and its Relationship with Body Mass Index among Female Adolescents in Hamadan, Iran

    OpenAIRE

    Batool Khodakarami; Seyede Zahra Masoomi; Javad Faradmal; Mojgan Nazari; Maryam Saadati; Fatemeh Sharifi; Maryam shakhbabaei

    2015-01-01

    Background & aim: Primary dysmenorrhea is a common problem among women, resulting in a decline in their performance level and quality of life. Previous studies have not indicated a definite relationship between body mass index (BMI) and dysmenorrhea. Therefore, this study aimed to determine the severity of dysmenorrhea and investigate its relationship with BMI among female adolescents in Hamadan, Iran. Methods:This cross-sectional study was conducted on 579 single, female adolescents in schoo...

  10. Sensitivity and Specificity of Body Mass Index as a Definition of the Obesity Component of Metabolic Syndrome

    OpenAIRE

    M. Chakraborty, Bandana; Chakraborty, Ranajit

    2007-01-01

    Metabolic syndrome (MS) is a combination of risk factors that are associated with several chronic diseases. Its components (obesity, dyslipidemia, carbohydrate intolerance, hypertension, microalbumineria) are diverse, whose thresholds vary in different definitions of MS. For example, a World Health Organization (WHO) panel defined the obesity component of MS based on waist-hip ratio, or body mass index (BMI), while the National Cholesterol Education Program (NCEP) defined the obes...

  11. Body mass index in Saudi Arabian children and adolescents: a national reference and comparison with international standards

    OpenAIRE

    P J Foster, A S Al Herbish, M I El Mouzan, A A Al Salloum, M M Al Qureshi, A A Al Omar, T Kecojevic.

    2009-01-01

    BACKGROUND AND OBJECTIVES: Because there are no reference standards for body mass index (BMI) in Saudi children, we established BMI reference percentiles for normal Saudi Arabian children and adolescents and compared them with international standards. SUBJECTS AND METHODS: Data from a stratified multistage probability sample were collected from the 13 health regions in Saudi Arabia, as part of a nationwide health profile survey of Saudi Arabian children and adolescents conducted to establish ...

  12. Representativeness and optimal use of body mass index (BMI) in the UK Clinical Practice Research Datalink (CPRD)

    OpenAIRE

    Bhaskaran, K; Forbes, H. J.; Douglas, I.; Leon, D. A.; Smeeth, L

    2013-01-01

    Objectives: To assess the completeness and representativeness of body mass index (BMI) data in the Clinical Practice Research Datalink (CPRD), and determine an optimal strategy for their use. Design: Descriptive study. Setting: Electronic healthcare records from primary care. Participants: A million patient random sample from the UK CPRD primary care database, aged ≥16 years. Primary and secondary outcome measures: BMI completeness in CPRD was evaluated by age, sex and calendar period. CPR...

  13. Measuring Distributional Inequality: Relative Body Mass Index Distributions by Gender, Race/Ethnicity, and Education, United States (1999–2006)

    OpenAIRE

    Houle, Brian C.

    2010-01-01

    Few studies consider obesity inequalities as a distributional property. This study uses relative distribution methods to explore inequalities in body mass index (BMI; kg/m2). Data from 1999–2006 from the National Health and Nutrition Examination Survey were used to compare BMI distributions by gender, Black/White race, and education subgroups in the United States. For men, comparisons between Whites and Blacks show a polarized relative distribution, with more Black men at increased risk of ov...

  14. Body mass index, chronic atrophic gastritis and heartburn: a population-based study among 8936 older adults from Germany

    OpenAIRE

    Gao, Lei; Weck, Melanie Nicole; Rothenbacher, Dietrich; Brenner, Hermann

    2010-01-01

    Abstract Background: Obesity and overweight have been positively related to gastroesophageal reflux disease (GERD). It has been suggested, that this relation is due to an increased gastric acid reflux which is caused by an enhanced intra-abdominal pressure. Aim: We aimed to assess potential interaction of the association between body mass index (BMI) and GERD by chronic atrophic gastritis (CAG) which goes along with reduced acid production. Methods: In the baseline examinat...

  15. The Women’s Health Initiative: the Food Environment, Neighborhood Socioeconomic Status, Body Mass Index and Blood Pressure

    OpenAIRE

    Dubowitz, T.; Ghosh-Dastidar, B; Eibner, C; Slaughter, M.E.; Fernandes, M; Whitsel, E.A.; Bird, C E; Jewell, A; Margolis, K L.; Li, W.; Michael, Y.; Shih, R; Manson, J.; Escarce, J J

    2011-01-01

    Using data (n=60,775 women) from the Women’s Health Initiative Clinical Trial (WHI CT)— a national study of postmenopausal women aged 50 to 79 years — we analyzed cross-sectional associations between the availability of different types of food outlets in the 1.5 miles surrounding a woman’s residence, census tract neighborhood socioeconomic status (NSES), body mass index (BMI) and blood pressure (BP).

  16. Pain in long-term breast cancer survivors: The role of body mass index, physical activity, and sedentary behavior

    OpenAIRE

    Forsythe, Laura P; Alfano, Catherine M.; George, Stephanie M.; McTiernan, Anne; Baumgartner, Kathy B.; Bernstein, Leslie; Ballard-Barbash, Rachel

    2012-01-01

    Although pain is common among post-treatment breast cancer survivors, studies that are longitudinal, identify a case definition of clinically meaningful pain, or examine factors contributing to pain in survivors are limited. This study describes longitudinal patterns of pain in long-term breast cancer survivors, evaluating associations of body mass index [BMI], physical activity, sedentary behavior with mean pain severity and above-average pain. Women newly diagnosed with stages 0–IIIA breast...

  17. Relationship Between Body Mass Index and Medical Care Expenditures for North Carolina Adolescents Enrolled in Medicaid in 2004

    Directory of Open Access Journals (Sweden)

    Paul A. Buescher, PhD

    2008-01-01

    Full Text Available IntroductionMany studies document that overweight and obese adults have substantially higher medical care expenditures than do adults of normal weight, but comparable data for children or adolescents are few. This study examines patterns of expenditure for medical care and use of medical care services among a sample of North Carolina adolescents enrolled in Medicaid, stratified by body mass index categories.MethodsNorth Carolina public health records, which include clinically measured height and weight, were linked to 2004 North Carolina Medicaid enrollment records to find adolescents aged 12–18 years whose records matched. We then examined all paid claims for 2004 of the 3528 adolescents whose records matched. Total expenditures by sex and race, hospital costs, physician costs, and prescription drug costs were tabulated and stratified by body mass index. We also examined, by body mass index, the percentage of adolescents who had a paid claim for selected diagnosed health conditions.ResultsOverall, and for most demographic and service categories, overweight adolescents and at-risk-for-overweight adolescents had higher average Medicaid expenditures than did normal-weight adolescents. Some of these differences were statistically significant. Overweight adolescents were significantly more likely to have a paid claim for services related to diabetes, asthma, or other respiratory conditions.ConclusionAlthough based on a small sample, our results suggest that overweight has negative health consequences as early as adolescence. Further studies with larger samples could help confirm the findings of our study.

  18. Ultrasonography assessment of renal size and its correlation with body mass index in adults without known renal disease

    International Nuclear Information System (INIS)

    Many conditions affect renal size. To evaluate abnormalities in renal size, knowledge of standardised values for normal renal dimensions is essential as it shows variability in the values of normal renal size depending on body size, age and ethnicity. Ultrasound, being an easily available, non-invasive, safe and less expensive modality, is widely used for evaluation of renal dimensions and repeated follow-ups. The objectives of this study were to determine renal size by ultrasound in adults without any known renal disease, and to determine the relationship of renal size with body mass index. Methods: Study was conducted in the Department of Diagnostic Radiology, Shifa International Hospital and PIMS Islamabad. Renal size was assessed by ultrasound in 4,035 adult subjects with normal serum creatinine and without any known renal disease, between November 2002 and December 2010. Renal length, width, thickness and volume were obtained and mean renal length and volume were correlated with body mass index and other factors like age, side, gender, weight and height of the subjects. Results: Mean renal length on right side was 101.6+-8.9 mm, renal width 42.7+-7.1 mm, and parenchymal thickness 14.4+-2.9 mm. On left side, mean renal length was 102.7+-9.2 mm, width 47.6+-7.0 mm, and parenchymal thickness 15.1+-3.1 mm. Mean renal volume on right was 99.8+-37.2 cm/sup 3/ and on left was 124.4+-41.3 cm/sup 3/. Left renal size was significantly larger than right in both genders. Relationship of mean renal length was significant when correlated with age, side, gender, height and weight, and body mass index. Renal volumes also showed a similar relationship with side, gender, height and weight, and body mass index; but with age such a relationship was seen only for left kidney. Conclusion: Pakistani population has mean renal size smaller than reference values available in international literature. Renal length and volume have a direct relationship with body mass index. Mean renal

  19. Ethnic differences in the relationship between body mass index and percentage body fat among Asian children from different backgrounds.

    Science.gov (United States)

    Liu, Ailing; Byrne, Nuala M; Kagawa, Masaharu; Ma, Guansheng; Poh, Bee Koon; Ismail, Mohammad Noor; Kijboonchoo, Kallaya; Nasreddine, Lara; Trinidad, Trinidad Palad; Hills, Andrew P

    2011-11-01

    Overweight and obesity in Asian children are increasing at an alarming rate; therefore a better understanding of the relationship between BMI and percentage body fat (%BF) in this population is important. A total of 1039 children aged 8-10 years, encompassing a wide BMI range, were recruited from China, Lebanon, Malaysia, The Philippines and Thailand. Body composition was determined using the 2H dilution technique to quantify total body water and subsequently fat mass, fat-free mass and %BF. Ethnic differences in the BMI-%BF relationship were found; for example, %BF in Filipino boys was approximately 2 % lower than in their Thai and Malay counterparts. In contrast, Thai girls had approximately 2.0 % higher %BF values than in their Chinese, Lebanese, Filipino and Malay counterparts at a given BMI. However, the ethnic difference in the BMI-%BF relationship varied by BMI. Compared with Caucasian children of the same age, Asian children had 3-6 units lower BMI at a given %BF. Approximately one-third of the obese Asian children (%BF above 25 % for boys and above 30 % for girls) in the study were not identified using the WHO classification and more than half using the International Obesity Task Force classification. Use of the Chinese classification increased the sensitivity. Results confirmed the necessity to consider ethnic differences in body composition when developing BMI cut-points and other obesity criteria in Asian children.

  20. Ethnic differences in the relationship between body mass index and percentage body fat among Asian children from different backgrounds.

    Science.gov (United States)

    Liu, Ailing; Byrne, Nuala M; Kagawa, Masaharu; Ma, Guansheng; Poh, Bee Koon; Ismail, Mohammad Noor; Kijboonchoo, Kallaya; Nasreddine, Lara; Trinidad, Trinidad Palad; Hills, Andrew P

    2011-11-01

    Overweight and obesity in Asian children are increasing at an alarming rate; therefore a better understanding of the relationship between BMI and percentage body fat (%BF) in this population is important. A total of 1039 children aged 8-10 years, encompassing a wide BMI range, were recruited from China, Lebanon, Malaysia, The Philippines and Thailand. Body composition was determined using the 2H dilution technique to quantify total body water and subsequently fat mass, fat-free mass and %BF. Ethnic differences in the BMI-%BF relationship were found; for example, %BF in Filipino boys was approximately 2 % lower than in their Thai and Malay counterparts. In contrast, Thai girls had approximately 2.0 % higher %BF values than in their Chinese, Lebanese, Filipino and Malay counterparts at a given BMI. However, the ethnic difference in the BMI-%BF relationship varied by BMI. Compared with Caucasian children of the same age, Asian children had 3-6 units lower BMI at a given %BF. Approximately one-third of the obese Asian children (%BF above 25 % for boys and above 30 % for girls) in the study were not identified using the WHO classification and more than half using the International Obesity Task Force classification. Use of the Chinese classification increased the sensitivity. Results confirmed the necessity to consider ethnic differences in body composition when developing BMI cut-points and other obesity criteria in Asian children. PMID:21736824

  1. The INSIG2 rs7566605 polymorphism is not associated with body mass index and breast cancer risk

    DEFF Research Database (Denmark)

    Campa, Daniele; Hüsing, Anika; McKay, James D.;

    2010-01-01

    Background The single nucleotide polymorphism rs7566605, located in the promoter of the INSIG2 gene, has been the subject of a strong scientific effort aimed to elucidate its possible association with body mass index (BMI). The first report showing that rs7566605 could be associated with body...... fatness was a genome-wide association study (GWAS) which used BMI as the primary phenotype. Many follow-up studies sought to validate the association of rs7566605 with various markers of obesity, with several publications reporting inconsistent findings. BMI is considered to be one of the measures...

  2. Impact of Body Mass Index on the Prognosis of Japanese Patients With Non-Valvular Atrial Fibrillation.

    Science.gov (United States)

    Inoue, Hiroshi; Kodani, Eitaro; Atarashi, Hirotsugu; Okumura, Ken; Yamashita, Takeshi; Origasa, Hideki

    2016-07-15

    Obesity is a risk factor for atrial fibrillation (AF); however, obesity is associated with lower mortality in patients with established AF, a phenomenon known as the obesity paradox. Previous studies reported inconsistent results regarding effects of body weight on risk of cardiogenic embolism in patients with AF. To determine relation between body mass index (BMI) and prognosis among Japanese patients with nonvalvular AF (NVAF), a post hoc analysis was conducted using observational data in the J-RHYTHM Registry. Subjects were categorized as underweight (BMI Japanese patients with NVAF. PMID:27255662

  3. Low body mass index is an important risk factor for low bone mass and increased bone loss in early postmenopausal women. Early Postmenopausal Intervention Cohort (EPIC) study group

    DEFF Research Database (Denmark)

    Ravn, Pernille; Cizza, G; Bjarnason, N H;

    1999-01-01

    indicated that risk of low bone mass and increased bone loss caused by thinness could be compensated by alendronate treatment. In conclusion, thinness is an important risk factor for low bone mass and increased bone loss in postmenopausal women. Because the response to alendronate treatment is independent......Thinness (low percentage of body fat, low body mass index [BMI], or low body weight) was evaluated as a risk factor for low bone mineral density (BMD) or increased bone loss in a randomized trial of alendronate for prevention of osteoporosis in recently postmenopausal women with normal bone mass (n...... (r = -0.12 to -0.15, p risk factors, the group treated with 5 mg of alendronate was included (n = 403). There were no associations between fat mass parameters and response to alendronate treatment, which...

  4. Comparison between body mass index, triceps skin fold thickness and mid-arm muscle circumference in Saudi adolescents

    International Nuclear Information System (INIS)

    Adolescence is an important period in an individual's life. Overweight and obesity are fraught with several health problems even late in life. The objective of this study was estimate the overweight, obesity, body fat and muscle content of Saudi adolescents as compared to a recognized reference population. Data were collected from a sample of Saudi adolescents in Jeddah from 42 boys' and 42 girls' school during the month of April 2000. Data collection was done by personal interviews to collect sociodemograhic factors and by direct measurement of weight, height, triceps skin fold thickness (TSF) and mid-arm circumference (MAC). The 50th, 85th and 95th percentiles(P50, P85 and P95) for body mass index (BMI) and triceps skin fold thickness (TSF) were taken, then the 50th, 90th, and 95th percentiles (P50, P90 and P95) for the mid-arm muscle circumference (MAMC) were calculated. These measurements were compared with corresponding values of the National Health and Nutrition Examination Survey I (NHANES I). The P85 and P95 for the BMI and TSF were higher for Saudi adolescents than the NHANES I and the difference was wider for P95. Conversely, there was a lower MAMC at P90 and P95thane the NHANES I reference population curves. The lower MAMC curves were less marked in girls than in boys. On the other hand Saudi boys and girls showed on average similar body mass index indicated by MBI at P50, which was misleading, since those adolescents showing similar body mass index had more fatness than of average reference population indicated by TSF and P50, and less muscularity on average than reference population indicated MAMC at P-50. Overweight and obesity with increased body fat content and decreased body muscle content appear to be widespread among Saudi adolescents even among those adolescents showing average body index. Public health interventions are required to improve quality of food, encourage physical, activity and exercise, as well as correct the perception of

  5. Body mass index and age at menarche in Peruvian children living at high altitude and at sea level.

    Science.gov (United States)

    Gonzales, G F; Villena, A

    1996-04-01

    The present study was designed to determine the relationship between body mass index (BMI) and age at menarche in girls (aged 10-19 years) living in Lima (150 m) and in Cerro de Pasco (4340 m above sea level). The purpose of the study was to determine whether the relationships between BMI and both age at menarche and chronological age differ between girls living at low and at high altitude. The ratio weight/height (the Benn index) was used in the present study as a variant of BMI because the exponent minimizes the relationship with height and maximizes the relationship with weight. From 10 to 16 years of age the Benn index of highlander girls was lower than that for girls at sea level, but at 17-19 years the differences disappeared. A later age at menarche was observed at high altitude than at sea level after controlling for socioeconomic status and for the Benn index. The value of the Benn index at the time of menarche, after controlling for chronological age in the analysis, was significantly higher at high altitude than at sea level. It was also observed that the higher the chronological age, the lower the value of the Benn index at the time of menarche. Using the median ages at menarche in Lima and in Cerro de Pasco, we found that a higher Benn index at the time of menarche is still observed at high altitude compared with girls from sea level. In Lima body weight and height were directly related to age at menarche (p Cerro de Pasco only weight was related to age at menarche (p Cerro de Pasco is an independent effect of altitude. Because the Benn index for menarche was different at sea level and at high altitude, we conclude that regression equations to predict age at menarche must include altitude as an independent variable.

  6. Differences among skeletal muscle mass indices derived from height-, weight-, and body mass index-adjusted models in assessing sarcopenia

    OpenAIRE

    Kim, Kyoung Min; Jang, Hak Chul; Lim, Soo

    2016-01-01

    Aging processes are inevitably accompanied by structural and functional changes in vital organs. Skeletal muscle, which accounts for 40% of total body weight, deteriorates quantitatively and qualitatively with aging. Skeletal muscle is known to play diverse crucial physical and metabolic roles in humans. Sarcopenia is a condition characterized by significant loss of muscle mass and strength. It is related to subsequent frailty and instability in the elderly population. Because muscle tissue i...

  7. Assessment of obesity with body mass index in primary care health workers in the jurisdiction of Nezahualcoyotl (Mexico

    Directory of Open Access Journals (Sweden)

    Juan Manuel Sánchez Soto

    2012-11-01

    Full Text Available Introduction: Overweight and obesity are considered a disease - a public health problem that has becomes one of the main factors related to deaths from cardiovascular disease in Mexico. Methods: We conducted a cross-sectional descriptive study in search of inference between obesity and overweight among health caregivers and the general population in six primary care clinics that belong to the Ministry of Health of the municipality of Nezahualcoyotl. We recruited 124 participants from the different work areas of the centers, including those responsible for nutritional programs. Diagnostic parameters for obesity and overweight were body mass index, waist hip ratio and percentage of body fat (% BF. Results: Body mass index: 0.22 normal; 0.53 overweight; 0.23 obesity I; 0.03 obesity II; 0.00 obesity III. Waist circumference: normal 0.28 and above normal 0.72. Fat percentage: normal 0.20 and 0.80% higher. We found that 77% of participants were obese or overweight. Discussion: Those in charge of controlling obesity and overweight also suffer from it and can contribute to the failure of programs in the community. It is essential to develop programs in healthy lifestyle based on nutrition and physical activity. These should be applied primarily to healthcare professionals who are in charge of community lifestyle programs.

  8. Associations of body mass index, smoking, and alcohol consumption with prostate cancer mortality in the Asia Cohort Consortium.

    Science.gov (United States)

    Fowke, Jay H; McLerran, Dale F; Gupta, Prakash C; He, Jiang; Shu, Xiao-Ou; Ramadas, Kunnambath; Tsugane, Shoichiro; Inoue, Manami; Tamakoshi, Akiko; Koh, Woon-Puay; Nishino, Yoshikazu; Tsuji, Ichiro; Ozasa, Kotaro; Yuan, Jian-Min; Tanaka, Hideo; Ahn, Yoon-Ok; Chen, Chien-Jen; Sugawara, Yumi; Yoo, Keun-Young; Ahsan, Habibul; Pan, Wen-Harn; Pednekar, Mangesh; Gu, Dongfeng; Xiang, Yong-Bing; Sauvaget, Catherine; Sawada, Norie; Wang, Renwei; Kakizaki, Masako; Tomata, Yasutake; Ohishi, Waka; Butler, Lesley M; Oze, Isao; Kim, Dong-Hyun; You, San-Lin; Park, Sue K; Parvez, Faruque; Chuang, Shao-Yuan; Chen, Yu; Lee, Jung Eun; Grant, Eric; Rolland, Betsy; Thornquist, Mark; Feng, Ziding; Zheng, Wei; Boffetta, Paolo; Sinha, Rashmi; Kang, Daehee; Potter, John D

    2015-09-01

    Many potentially modifiable risk factors for prostate cancer are also associated with prostate cancer screening, which may induce a bias in epidemiologic studies. We investigated the associations of body mass index (weight (kg)/height (m)(2)), smoking, and alcohol consumption with risk of fatal prostate cancer in Asian countries where prostate cancer screening is not widely utilized. Analysis included 18 prospective cohort studies conducted during 1963-2006 across 6 countries in southern and eastern Asia that are part of the Asia Cohort Consortium. Body mass index, smoking, and alcohol intake were determined by questionnaire at baseline, and cause of death was ascertained through death certificates. Analysis included 522,736 men aged 54 years, on average, at baseline. During 4.8 million person-years of follow-up, there were 634 prostate cancer deaths (367 prostate cancer deaths across the 11 cohorts with alcohol data). In Cox proportional hazards analyses of all cohorts in the Asia Cohort Consortium, prostate cancer mortality was not significantly associated with obesity (body mass index >25: hazard ratio (HR) = 1.08, 95% confidence interval (CI): 0.85, 1.36), ever smoking (HR = 1.00, 95% CI: 0.84, 1.21), or heavy alcohol intake (HR = 1.00, 95% CI: 0.74, 1.35). Differences in prostate cancer screening and detection probably contribute to differences in the association of obesity, smoking, or alcohol intake with prostate cancer risk and mortality between Asian and Western populations and thus require further investigation.

  9. Weight, height, body mass index and risk of breast cancer in postmenopausal women: a case-control study

    Directory of Open Access Journals (Sweden)

    Vahdaninia Mariam

    2008-09-01

    Full Text Available Abstract Background Many women in Iran have a relatively high body mass index. To investigate whether the condition contributes to excess breast cancer cases, a case-control study was conducted to assess the relationships between anthropometric variables and breast cancer risk in Tehran, Iran. Methods All incident cases of breast cancer in the Iranian Centre for Breast Cancer (ICBC were identified through the case records. Eligible cases were all postmenopausal women with histological confirmed diagnosis of breast cancer during 1996 to year 2000. Controls were randomly selected postmenopausal women attending the ICBC for clinical breast examination during the same period. The body mass index (BMI was calculated based on weights and heights as measured by the ICBC nursing staff. Both tests for trend and logistic regression analysis were performed to calculate odds ratios and 95% confidence intervals as measures of relative risk. Results In all, 116 breast cancer cases and 116 controls were studied. There were no significant differences between cases and control with regard to most independent variables studied. However, a significant difference was observed between cases and controls indicating that the mean BMI was higher in cases as compared to controls (P = 0.004. Performing logistic regression analysis while controlling for age, age at menopause, family history of breast cancer and parity, the results showed that women with a BMI in the obese range had a three fold increased risk of breast cancer [odds ratio (OR = 3.21, 95% confidence interval (CI: 1.15–8.47]. Conclusion The results suggest that obesity in postmenopausal women could increase risk of breast cancer and it merits further investigation in populations such as Iran where it seems that many women are short in height, and have a relatively high body mass index.

  10. Dietary calcium intake and higher body mass index in Mexican adults aged 20 to 59 years old: cross-sectional study

    Directory of Open Access Journals (Sweden)

    Mario Efraín Flores-Aldana

    2013-02-01

    Full Text Available Background. Although energy balance is the main factor that regulates body weight, recent studies suggest that calcium metabolism can modify the energy balance and help regulate body weight. Objective. To evaluate the association between the calcium intake in the diet and high body mass index in Mexican adults in the 20-59 age group. Material and methods. A cross-sectional secondary analytical study was conducted based on the 2006 Mexican National Health and Nutritional Survey (ENSANUT 2006. Food intake questionnaires applied to 16,494 adults were analyzed. After removing biologically implausible values or incomplete information, we arrived at a final sample of 15,662 adults grouped according to their body mass index. Linear regression was used to assess association between daily dietary calcium intake and body mass index. Results. There was an inverse association between dietary calcium consumption and a high body mass index. The mean calcium intake in subjects with normal body mass index was 903.9 mg/day versus 832.0 mg/day in obese subjects (p < 0.0001. Conclusion. The study corroborates existing evidence of an inverse association between the dietary calcium intake and a high body mass index.

  11. The variations of body mass index and body fat in adult Thai people across the age spectrum measured by bioelectrical impedance analysis

    Directory of Open Access Journals (Sweden)

    Chittawatanarat K

    2011-11-01

    Full Text Available Kaweesak Chittawatanarat1,2, Sakda Pruenglampoo3, Siriphan Kongsawasdi4, Busaba Chuatrakoon4, Vibul Trakulhoon5, Winai Ungpinitpong6, Jayanton Patumanond21Department of Surgery, Faculty of Medicine, 2Clinical Epidemiology Unit, 3Research Institute for Health Sciences, 4Department of Physical Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 5Department of Surgery, Bhumibol Adulyadej Hospital, Bangkok, 6Surgical Unit, Surin Hospital, Surin, ThailandBackground: The measurements of body mass index (BMI and percentage of body fat are used in many clinical situations. However, special tools are required to measure body fat. Many formulas are proposed for estimation but these use constant coefficients of age. Age spectrum might affect the predicted value of the body composition due to body component alterations, and the coefficient of age for body fat prediction might produce inconsistent results. The objective of this study was to identify variations of BMI and body fat across the age spectrum as well as compare results between BMI predicted body fat and bioelectrical impedance results on age.Methods: Healthy volunteers were recruited for this study. Body fat was measured by bioelectrical impedance. The age spectrum was divided into three groups (younger: 18–39.9; middle: 40–59.9; and older: ≥60 years. Comparison of body composition covariates including fat mass (FM, fat free mass (FFM, percentage FM (PFM, percentage FFM (PFFM, FM index (FMI and FFM index (FFMI in each weight status and age spectrum were analyzed. Multivariable linear regression coefficients were calculated. Coefficient alterations among age groups were tested to confirm the effect of the age spectrum on body composition covariates. Measured PFM and calculated PFM from previous formulas were compared in each quarter of the age spectrum.Results: A total of 2324 volunteers were included in this study. The overall body composition and weight

  12. Pregestational body mass index is related to neonatal abdominal circumference at birth--a Danish population-based study

    DEFF Research Database (Denmark)

    Tanvig, M; Wehberg, S; Vinter, C A;

    2013-01-01

    OBJECTIVES: To examine the impact of maternal pregestational body mass index (BMI) and smoking on neonatal abdominal circumference (AC) and weight at birth. To define reference curves for birth AC and weight in offspring of healthy, nonsmoking, normal weight women. DESIGN: Population-based study....... SETTING: Data from the Danish Medical Birth Registry. POPULATION: All live singletons without congenital malformations in Denmark 2004-10. METHODS: Data on 366 886 singletons at 35(+0) to 41(+6)  weeks(+days) of gestation were extracted and analysed using multivariate linear regressions. MAIN OUTCOME...

  13. Children's self-perceived bodily competencies and associations with motor skills, body mass index, teachers' evaluations, and parents' concerns

    DEFF Research Database (Denmark)

    Toftegaard-Stoeckel, Jan; Groenfeldt, Vivian; Andersen, Lars Bo

    2010-01-01

    The associations between physical competence, self-perceived bodily competence, parental concern for their children's motor skill development, and teachers' evaluation of their bodily competence were assessed in 646 six- to seven-year-olds. Physical competence was assessed by the German motor...... ability test "Korperkoordinationstest fur Kinder", while the children's, their parents', and their teachers' evaluations were obtained through questionnaires. Parental concern, teacher evaluation, and a high body mass index were the strongest predictors of low physical competence (motor skill quotient ...

  14. Influence of Body Mass Index and Albumin on Perioperative Morbidity and Clinical Outcomes in Resected Pancreatic Adenocarcinoma

    OpenAIRE

    Andrew Hendifar; Arsen Osipov; Jasleen Khanuja; Nicholas Nissen; Jason Naziri; Wensha Yang; Quanlin Li; Richard Tuli

    2016-01-01

    Obesity is a known risk factor for PDA and recent reports suggest obesity has a negative impact on clinical outcomes in patients with PDA. Pretreatment body mass index (BMI) and serum albumin (SA) have been shown to be associated with worse overall survival in patients with advanced and metastatic PDA. However, minimal data exists on the impact of BMI and SA on perioperative and long-term clinical outcomes in patients with early-stage resected PDA. Herein, we report on the impact of these var...

  15. Anorexia Nervosa and Generalized Anxiety Disorder: Further Explorations of the Relation Between Anxiety and Body Mass Index

    OpenAIRE

    Thornton, Laura M.; Dellava, Jocilyn E.; Root, Tammy L.; Lichtenstein, Paul; Bulik, Cynthia M.

    2011-01-01

    We explore comorbidity of anorexia nervosa (AN) and generalized anxiety disorder (GAD) and their relation with body mass index (BMI) and evaluate the presence of fasting and excessive exercise which both have anxiolytic and weight loss effects. All participants were female: 32 with AN only, 607 with GAD only, 22 with AN and GAD (AN+GAD), and 5,424 with no history of AN or GAD (referent) from the Swedish Twin study of Adults: Genes and Environment (STAGE). Lowest adult BMI differed significant...

  16. Does body mass index moderate the association between posttraumatic stress disorder symptoms and suicidal ideation in Iraq/Afghanistan veterans?

    Science.gov (United States)

    Kittel, Julie A; DeBeer, Bryann B; Kimbrel, Nathan A; Matthieu, Monica M; Meyer, Eric C; Gulliver, Suzy Bird; Morissette, Sandra B

    2016-10-30

    Suicide, PTSD, and obesity co-occur at high rates among returning veterans, yet limited research exists regarding the relationship among these variables. Self-report and diagnostic interview data from a longitudinal study of Iraq and Afghanistan veterans (N=130) enrolled in VA healthcare examined these inter-relations. As hypothesized, body mass index (BMI) significantly moderated the association between PTSD and suicidal ideation such that the association between PTSD and suicidal ideation was strongest among individuals with a high BMI. Programs that focus on health promotion, trauma treatment, and weight management should continue to monitor suicide risk.

  17. Weight gain and body mass index following change from daytime to night shift - a panel study with nursing professionals.

    Science.gov (United States)

    Siqueria, Kali; Griep, Rosane; Rotenberg, Lúcia; Silva-Costa, Aline; Mendes da Fonseca, Maria de Jesus

    2016-01-01

    We analyzed the association between change in work schedule and modifications in nutritional status. We performed a panel study with nursing professionals based on two surveys seven year apart (n = 372). Groups with no change in work schedule, change from daytime to night shift, and change from night to daytime shift were analyzed. Outcomes were weight gain and body mass index (BMI) category increase. Participants who changed from daytime to night shift showed about twice increase in odds of more than 5 kg weight gain and BMI category increase. Changing from daytime to night work seems to influence weight and BMI. PMID:27159160

  18. A Meta-Analysis Identifies New Loci Associated with Body Mass index in Individuals of African Ancestry

    OpenAIRE

    Keri L Monda; Chen, Gary K.; Taylor, Kira C.; Palmer, Cameron; Edwards, Todd L.; Lange, Leslie A.; Ng, Maggie C. Y.; Adeyemo, Adebowale A.; Allison, Matthew A.; Bielak, Lawrence F; Chen, Guanji; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo

    2013-01-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry, and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one novel locus at 5q33 (GALNT10, rs7708584, p=3.4×10−11) and another at 7p15 when combined ...

  19. Body mass index is not associated with reoperation rates in patients with a surgically treated perforated peptic ulcer

    DEFF Research Database (Denmark)

    Duch, Patricia; Møller, Morten Hylander

    2015-01-01

    INTRODUCTION: The aim of the present nationwide Danish cohort study was to examine the association between body mass index (BMI) and reoperation in patients who are sur-gically treated for perforated peptic ulcer (PPU). METHODS: This was a nationwide cohort study of all Danish patients who were...... surgically treated for benign gastric or duodenal PPU between 2011 and 2013. OUTCOME MEASURES: reoperation within 30 days of the primary surgical procedure and 90-day survival. The association between BMI and reoperation are presented as crude and adjusted odds ratios (OR) with 95% confidence intervals (CIs...

  20. Body Mass Index, Body Esteem, and Unprotected Receptive Anal Intercourse among Young Men Who Have Sex with Men Who Seek Partners Online

    OpenAIRE

    Meanley, Steven; Hickok, Andrew; Johns, Michelle Marie; Pingel, Emily S.; Bauermeister, José A.

    2013-01-01

    Research examining the relationship between body mass index (BMI) and sexual risk outcomes among men who have sex with men (MSM) has yielded inconsistent results. Using a web-based survey, single-identified (e.g., not in a relationship) young MSM (N = 431) between the ages of 18 and 24 years who sought romantic partners online were asked to respond to items regarding their BMI, body image (e.g., attribution, dissatisfaction, and pride), and sexual risk behaviors. We used Poisson regressions t...