WorldWideScience

Sample records for mass bmi index

  1. Know Your Body Mass Index (BMI)

    Science.gov (United States)

    ... Past Issues Special Section Know Your Body Mass Index (BMI) Past Issues / Winter 2007 Table of Contents ... aging, it pays to understand your body mass index (BMI), a measure of body fat based on ...

  2. 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.

  3. Effect of Body Mass Index (BMI) On Degree of Angular Knee ...

    African Journals Online (AJOL)

    The aetiology of Blount\\'s disease remains unknown, but it is generally agreed that weight bearing plays a role in the pathogenesis of knee deformity in these patients. Our aim was to analyze the effect of Body Mass Index (BMI) on the degree of angular knee deformity in children with clinical and radiological features of ...

  4. Correlation of endoscopic severity of gastroesophageal reflux disease (gerd) with body mass index (bmi)

    International Nuclear Information System (INIS)

    Zafar, S.; Haq, I.U.; Butt, A.R.; Shafiq, F.; Huda, G.; Mirza, G.; Rehman, A.U.

    2007-01-01

    To assess the correlation of endoscopic severity of Gastroesophageal Reflux Disease (GERD) with Body Mass Index (BMI). This study was conducted on 203 patients, who presented with upper GI symptoms. Patients who fulfilled the symptom criteria were referred for endoscopy. Classification of GERD was done according to LA Grading classification system. Body mass index (BMI) was calculated as Body Weight (BW) in kilograms (kg) divided by the square of the body height (BH) in meter (m2). Patient data was analyzed using SPSS 12 software. Statistical evaluation was done using non-parametric Wilcoxon's-sign Rank test. P-value <0.05 was considered to be statistically significant. Distribution of GERD was as follows: GERD-A subjects 65 (32%), GERD B subjects 72 (35.4%), GERD-C subjects 23 (11.3%), GERD-D subjects 10 (4.92%), while Non-Erosive Reflux Disease (NERD) was present in 33 subjects (16.2%). Mean BMI was 27+5.02SD (range of 18.2-38.3). BMI of patients having NERD was in normal range but patients who were having advanced disease i.e. Grade C-D were in obese range of BMI, while those who were having LA grade A-B were in overweight BMI range. When regrouped as mild GERD (grade A-B) and NERD versus severe GERD (grade C-D), there was a strong significant correlation between severity of GERD and BMI, as detected by Wilcoxon's signed Rank test (p=0.001). Higher BMI seems to be associated with higher degree of endoscopic GERD severity. (author)

  5. Concordance between self-reported pre-pregnancy body mass index (BMI) and BMI measured at the first prenatal study contact.

    Science.gov (United States)

    Natamba, Barnabas K; Sanchez, Sixto E; Gelaye, Bizu; Williams, Michelle A

    2016-07-26

    The 2009 Institute of Medicine (IOM) gestational weight recommendations are tailored to women's pre-pregnancy body mass index (BMI). Limited evidence exists on methods for estimating women's pre-pregnancy BMI, particularly for women living in low and middle income countries. Using data from collected among Peruvian pregnant women, we compared the concordance between self-reported pre-pregnancy BMI with BMI measured at the earliest prenatal study visit. Data were from the Pregnancy Outcomes Maternal and Infant Study (PrOMIS), a cohort of pregnant women at the Instituto Nacional Materno Perinatal (INMP) in Lima, Peru. 2605 women aged 18 to 49 years (mean ± SD gestational age = 10.9 ± 3.3 weeks) were included in the study. Self-reported pre-pregnancy weight and height and measured weight and height were collected at the first prenatal study contact. We assessed the concordance between measured and self-reported BMI; and, the agreement among indicators of nutritional status obtained using measured and self-reported BMI. On average, weight measured at the first prenatal study visit was 0.27 kg higher than self-reported pre-pregnancy weight (p overweight or obese BMI categories tended to be lower when using self-reported BMI (38.2 %) than when using measured BMI (47.7 %). Self-reported pre-pregnancy BMI was strongly correlated with BMI measured at the first prenatal study contact. The findings potentially suggest that, in this context, there is minimal change between pre-pregnancy BMI and BMI measured at the first prenatal study contact; or, that women in this study just recalled their most recent measured anthropometrics (including values obtained during the index pregnancy but before enrollment in the PrOMIS study).

  6. Discordance Between Body Mass Index (BMI) and a Novel Body Composition Change Index (BCCI) as Outcome Measures in Weight Change Interventions.

    Science.gov (United States)

    Nugent, Stephen D; Kaats, Gilbert R; Preuss, Harry G

    2018-01-01

    A general assumption is that the body mass index (BMI) reflects changes in fat mass (FM). However, it fails to distinguish the type of weight that is lost or gained-fat mass (FM) or fat-free mass (FFM). The BMI treats both changes the same although they have opposite health consequences. The objective of this study was to propose a more precise measure, a body composition change index (BCCI), which distinguishes between changes in FM and FFM, and this study compares it with using the BMI as an outcome measure. Data were obtained from 3,870 subjects who had completed dual-energy x-ray absorptiometry (DEXA) total body scans at baseline and end-of-study when participating in a variety of weight-loss interventions. Since height remained constant in this adult cohort, changes in the BMI corresponded with scale weight changes (r = 0.994), allowing BMI changes to be converted to "lbs." to match the statistic used for calculation of the BCCI. The BCCI is calculated by scoring increases in FFM (lbs.) and decreases in FM (lbs.) as positive outcomes and scoring decreases in FFM and increases in FM as negative outcomes. The BCCI is the net sum of these calculations. Differences between scale weight changes and BCCI values were subsequently compared to obtain "discordance scores." Discordance scores ranged from 0.0 lbs. to >30.0 lbs. with a mean absolute value of between the two measures of 7.79 lbs. (99% confidence interval: 7.49-8.10, p BCCI and the BMI to evaluate the efficacy of weight loss interventions. If assessing changes in body composition is a treatment goal, use of the BMI could result in significantly erroneous conclusions.

  7. Differential models of twin correlations in skew for body-mass index (BMI).

    Science.gov (United States)

    Tsang, Siny; Duncan, Glen E; Dinescu, Diana; Turkheimer, Eric

    2018-01-01

    Body Mass Index (BMI), like most human phenotypes, is substantially heritable. However, BMI is not normally distributed; the skew appears to be structural, and increases as a function of age. Moreover, twin correlations for BMI commonly violate the assumptions of the most common variety of the classical twin model, with the MZ twin correlation greater than twice the DZ correlation. This study aimed to decompose twin correlations for BMI using more general skew-t distributions. Same sex MZ and DZ twin pairs (N = 7,086) from the community-based Washington State Twin Registry were included. We used latent profile analysis (LPA) to decompose twin correlations for BMI into multiple mixture distributions. LPA was performed using the default normal mixture distribution and the skew-t mixture distribution. Similar analyses were performed for height as a comparison. Our analyses are then replicated in an independent dataset. A two-class solution under the skew-t mixture distribution fits the BMI distribution for both genders. The first class consists of a relatively normally distributed, highly heritable BMI with a mean in the normal range. The second class is a positively skewed BMI in the overweight and obese range, with lower twin correlations. In contrast, height is normally distributed, highly heritable, and is well-fit by a single latent class. Results in the replication dataset were highly similar. Our findings suggest that two distinct processes underlie the skew of the BMI distribution. The contrast between height and weight is in accord with subjective psychological experience: both are under obvious genetic influence, but BMI is also subject to behavioral control, whereas height is not.

  8. 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…

  9. Social disparities in body mass index (BMI) trajectories among Chinese adults in 1991-2011.

    Science.gov (United States)

    Fang, Changchun; Liang, Ying

    2017-08-16

    Obesity is a serious public health problem in China. The relationship between obesity and socio-economic status (SES) is changing and affected by uncertainty, particularly, in developing countries. The sex-related differences in body mass index (BMI) trajectories are controversial and require substantial empirical data for updating and enriching. This study examined the relationship between SES and BMI in Chinese adults from a dynamic perspective using longitudinal data (1991-2011) from the China Health and Nutrition Survey (CHNS). Then, sex-related differences were determined. A hierarchical linear model was used. SES positively affected the male BMI changes, with faster BMI growth rates in the high-SES males over the past 20 years. By contrast, female BMI was only affected by BMI baseline and residential area. Specifically, greater BMI baseline led to greater BMI growth rate and earlier BMI decline. In the past 20 years, the BMI growth rate has been greater in the urban females than in the rural females. The relationship between SES and obesity is complex in China, and a substantial sex-related difference exists. We argue that this large sex-related difference is due to the rapid economic and social changes that have affected national health and increased the gender inequality and social role restrictions in females. We provide insights for further research and policy recommendations.

  10. Endothelial function in young women with polycystic ovary syndrome (PCOS): Implications of body mass index (BMI) and insulin resistance.

    Science.gov (United States)

    El-Kannishy, Ghada; Kamal, Shaheer; Mousa, Amany; Saleh, Omayma; Badrawy, Adel El; Farahaty, Reham El; Shokeir, Tarek

    2010-01-01

    Evidence regarding endothelial function in both obese and nonobese women with PCOS is contradictory. It is unknown whether obese women with PCOS carry an increased risk related to body mass index (BMI). To identify endothelial function and investigate its relationship to body mass index and insulin resistance in young women with PCOS. Twenty-two obese women with PCOS (BMI 35.2 ± 3.2) as well as fourteen lean women (BMI 22.8 ± 2.1)with PCOS were included in the study. Fasting serum insulin, blood glucose were estimated and HOMA and Quicki index were calculated. All patients were subjected to ultrasound recording of brachial artery diameter at rest and after reactive hyperemia (FMD) for assessment of endothelial function. Ten age matched healthy females with normal BMI were chosen as a control group. There were higher basal insulin levels with lower Quicki index and higher HOMA index in women with PCOS than normal group, but the differences were significant only between obese PCOS subgroup and control. On the other hand, FMD was significantly and equally decreased in both groups of women with PCOS, compared with control subjects (3.7 ± 3.2% in the nonobese subgroup and 3.5 ± 2.8% in the obese one vs. 10.6 ± 4.1% in control subjects, P, 0.001). FMD was not correlated with BMI nor insulin resistance indices. Endothelial dysfunction is already present in young women with PCOS. In this patient group, it cannot be attributed to insulin resistance or obesity. © 2010 Asian Oceanian Association for the Study of Obesity . Published by Elsevier Ltd. All rights reserved.

  11. Comparison of fat-free mass index and fat mass index in Chinese adults.

    Science.gov (United States)

    Lu, Y; Shu, H; Zheng, Y; Li, C; Liu, M; Chen, Z; He, X

    2012-09-01

    To compare the characteristics of body composition for different gender and age in a large number of apparently healthy Chinese subjects, and to determine reference values for fat-free mass index (FFMI) and fat mass index (FMI). In total, 61,382 Chinese adults (age range: 18-92 years) were consecutively enrolled into the study. Body composition was measured using bioelectrical impedance analysis with a tetrapolar impedance meter. The skeletal muscle mass, fat-free mass (FFM), FFMI and body mass index (BMI) were significantly higher in men than in women (Pnormal BMI (BMI 18.5-23.9 kg/m(2), 18-92 years), the reference values (5th-95th percentile) of FM%, FFMI and FMI were 9.7-34.5%, 14.15-19.76 and 1.99-7.75 kg/m(2) in men, and 18.1-35.8%, 13.82-17.89 and 3.68-8.16 kg/m(2) in women, respectively. Reference intervals for FFMI and FMI could be of practical value for the clinical evaluation of a deficit in FFM with or without excess FM for a given age category, complementing the classical concept of BMI in a more qualitative manner, although these indices are only suggestive indications for the degree of obesity. In contrast to BMI, similar reference ranges of FFMI seem to be more utilizable with advancing age.

  12. Comparison of Body Image and its Relationship with Body Mass Index (BMI in High School Students of Ahvaz, Iran

    Directory of Open Access Journals (Sweden)

    Mahsa Behdarvandi

    2017-02-01

    Full Text Available BackgroundIt is not clearly specified that which of the components of body mass index (BMI affect body image and which of them do not. Given that having information in this regard is of special importance as a basis for future planning for adolescents, the present research aimed to compare body image in female and male adolescents and study its relationship with body mass index in high school students of Ahwaz, Khuzestan Province in the academic year 2015-2016.Materials and MethodsIn this descriptive-analytic study, 200 high school students were selected as the sample using the random cluster sampling method. The required data were collected using demographic questionnaire, anthropometric data checklist (height and weight, and the Multidimensional Body-Self Relations Questionnaire (MBSRQ. All descriptive and inferential statistics tests were performed using SPSS-17 at a confidence level of 95%.Results: The students ranged from 15 to 18 years old. Equal distribution was employed among all four grades of high school. Body mass index (BMI in male students showed a significant inverse relationship only with appearance orientation (P

  13. Calculate Your Body Mass Index

    Science.gov (United States)

    ... Can! ) Health Professional Resources Calculate Your Body Mass Index Body mass index (BMI) is a measure of body fat based ... Health Information Email Alerts Jobs and Careers Site Index About NHLBI National Institute of Health Department of ...

  14. Accuracy of Body Mass Index Versus Lean Mass Index for Prediction of Sarcopenia in Older Women.

    Science.gov (United States)

    Benton, M J; Silva-Smith, A L

    2018-01-01

    We compared accuracy of body mass index (BMI) versus lean mass index (LMI) to predict sarcopenia in 58 community-dwelling women (74.1±0.9 years). Lean mass was measured with multi-frequency bioelectrical impedance analysis, and strength was measured with Arm Curl test, Chair Stand test, and handgrip dynamometry. Sarcopenia was defined as low LMI. When categorized by BMI, normal women had less absolute lean mass (37.6±1.0 vs. 42.6±0.9 kg; Plean mass (14.1±0.2 vs. 16.1±0.2 kg/m2; Plean mass (44.0±0.7 vs. 35.7±0.7 kg; Plean mass (16.2±0.2 vs. 13.8±0.2 kg/m2; Plean mass and strength. For clinical assessment, calculation of LMI rather than BMI is appropriate.

  15. Assessing exclusive breastfeeding practices, dietary intakes and body mass index (BMI) of nursing mothers in Ekiti State of Nigeria

    OpenAIRE

    Ijarotimi, Oluwole Steve

    2010-01-01

    Breastfeeding is an unequalled way of providing ideal food for the infants. The benefits of breastfeeding practices to infants and mothers are well documented. However, information on breastfeeding practices and its effect on body mass index (BMI) of mothers are scarce, particularly in Ekiti State of Nigeria. Therefore, the present study is designed to assess breastfeeding practices and its association with BMI of mothers. A descriptive and cross-sectional study was conducted among breastfeed...

  16. DIFFERENCES IN THE MOTORIC ABILITIES OF STUDENTS DUE TO THE BODY MASS INDEX (BMI

    Directory of Open Access Journals (Sweden)

    Arben Osmani

    2014-06-01

    Full Text Available Introduction:The research has been conducted in order to establish differences in motoric abilities due to the body mass index (BMI with the tested students at the eighth grade (Barlow, & the Expert Committee, 2007. Methods: During the research 160 male students aged 14 were tested. On the base of (BMI they were divided into 3 groups (normal, overweight, and with obesity. They were tested with 6 motor tests for: explosive power, repetitive power, coordination, equilibrium, precision, and flexibility. Along with basic statistic parameters, the differences between the groups are established through: ANOVA, MANOVA and LSD-tests. Results: The obtained results are presented in 5 tables. On the base of the results, a statistically significant difference in favor of the group of normal body mass index is recorded in the following tests: standing a long jump, agility on the ground and keeping balance on one leg. Discussion: The results obtained in this research indicate that obesity and overweight cause a negative effect and result in lower performances concerning some motoric abilities. On the base of the obtained results, it is concluded that the group of students of normal body mass index achieved the best results in the motoric abilities with assessing the following: explosive power, coordination, and equilibrium. As for the motoric ability concerning: precision, repetitive power, and flexibility, there are no established statistically significant differences between the three groups. The obtained results correspond with some former researches (Milanese, et al., 2010; Zhu, Sheng, Wu, & Cairney, 2010, and some do not (De Toia, et al., 2009. References: Barlow SE et al. (2007. Pediatrics, 120, 164–92. De Toia D, Klein D, Weber S, Wessely N, Koch B, Tokarski W, Dordel S, Strüder H, Graf C (2009. European Journal of Obesity, 2(4, 221–5. Zhu YC, Sheng K, Wu SK, Cairney J (2011. Research in Developmental Disabilities, 32(2, 801–7. Milanese C

  17. Body Mass Index Table

    Science.gov (United States)

    ... Families ( We Can! ) Health Professional Resources Body Mass Index Table 1 for BMI greater than 35, go ... Health Information Email Alerts Jobs and Careers Site Index About NHLBI National Institute of Health Department of ...

  18. Investigation of the effect of body mass index (BMI) on semen parameters and male reproductive system hormones.

    Science.gov (United States)

    Keskin, Mehmet Zeynel; Budak, Salih; Aksoy, Evrim Emre; Yücel, Cem; Karamazak, Serkan; Ilbey, Yusuf Ozlem; Kozacıoğlu, Zafer

    2017-10-03

    To evaluate the effects of body mass index (BMI) ratio on semen parameters and serum reproductive hormones. The data of 454 patients who prsented to male infertility clinics in our hospital between 2014 and 2015 were analyzed retrospectively. Weight, height, serum hormone levels and semen analysis results of the patients were obtained. BMI values were calculated by using the weight and height values of the patients and they were classified as group 1 for BMI values ≤ 25 kg/m2, as group 2 for BMI values 25-30 kg/m2 and as group 3 for BMI values ≥ 30 kg/m2. The mean values of BMI, semen volume, concentration, total motility, progressive motility, total progressive motile sperm count (TPMSC), normal morphology according to Kruger, head abnormality, neck abnormality, tail abnormality, FSH, LH, prolactin, T/E2, total testosterone and estradiol parameters of the patients were considered. Patients were divided according to BMI values in Group 1 (n = 165), Group 2 (n = 222) and Group 3 (n = 56). There was no statistically significant difference in terms of all variables between the groups. We analyzed the relationship between BMI level and semen parameters and reproductive hormones, demonstrating no relationship between BMI and semen parameters. In our study, BMI does not affect semen parameters although it shows negative correlation with prolactin and testosterone levels.

  19. Investigation of the effect of body mass index (BMI on semen parameters and male reproductive system hormones

    Directory of Open Access Journals (Sweden)

    Mehmet Zeynel Keskin

    2017-10-01

    Full Text Available Aim: To evaluate the effects of body mass index (BMI ratio on semen parameters and serum reproductive hormones. Materials and methods: The data of 454 patients who prsented to male infertility clinics in our hospital between 2014 and 2015 were analyzed retrospectively. Weight, height, serum hormone levels and semen analysis results of the patients were obtained. BMI values were calculated by using the weight and height values of the patients and they were classified as group 1 for BMI values ≤ 25 kg/m2, as group 2 for BMI values 25-30 kg/m2 and as group 3 for BMI values ≥ 30 kg/m2. Results: The mean values of BMI, semen volume, concentration, total motility, progressive motility, total progressive motile sperm count (TPMSC, normal morphology according to Kruger, head abnormality, neck abnormality, tail abnormality, FSH, LH, prolactin, T/E2, total testosterone and estradiol parameters of the patients were considered. Patients were divided according to BMI values in Group 1 (n = 165, Group 2 (n = 222 and Group 3 (n = 56. There was no statistically significant difference in terms of all variables between the groups. Conclusions: We analyzed the relationship between BMI level and semen parameters and reproductive hormones, demonstrating no relationship between BMI and semen parameters. In our study, BMI does not affect semen parameters although it shows negative correlation with prolactin and testosterone levels.

  20. 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.

  1. Representativeness and optimal use of body mass index (BMI) in the UK Clinical Practice Research Datalink (CPRD)

    Science.gov (United States)

    Bhaskaran, Krishnan; Forbes, Harriet J; Douglas, Ian; Leon, David A; Smeeth, Liam

    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. CPRD-based summary BMI statistics for each calendar year (2003–2010) were age-standardised and sex-standardised and compared with equivalent statistics from the Health Survey for England (HSE). Results BMI completeness increased over calendar time from 37% in 1990–1994 to 77% in 2005–2011, was higher among females and increased with age. When BMI at specific time points was assigned based on the most recent record, calendar–year-specific mean BMI statistics underestimated equivalent HSE statistics by 0.75–1.1 kg/m2. Restriction to those with a recent (≤3 years) BMI resulted in mean BMI estimates closer to HSE (≤0.28 kg/m2 underestimation), but excluded up to 47% of patients. An alternative strategy of imputing up-to-date BMI based on modelled changes in BMI over time since the last available record also led to mean BMI estimates that were close to HSE (≤0.37 kg/m2 underestimation). Conclusions Completeness of BMI in CPRD increased over time and varied by age and sex. At a given point in time, a large proportion of the most recent BMIs are unlikely to reflect current BMI; consequent BMI misclassification might be reduced by employing model-based imputation of current BMI. PMID:24038008

  2. Evaluation of the Relationship between Mitral Valve Prolapse (MVP and Body Mass Index (BMI: A Review Article

    Directory of Open Access Journals (Sweden)

    Hossein Samim

    2016-09-01

    Full Text Available Background: Mitral valve prolapse (MVP is a valvular heart disease in which the two valve flaps of the mitral valve do not close equally, and part of the mitral valve slips backward loosely into the left atrium during systole. In general, MVP is associated with low body mass index (BMI, as confirmed by several studies. However, the reason for the higher prevalence of MVP in patients with low BMI remains unknown. Objectives: There is no reliable evidence on the role of genetics or pathophysiological factors in this correlation, and the hypothesis that the size of BMI may lead to MVP or vice versa has not yet been established. Materials and Methods: In this study, all the articles were evaluated in terms of the inclusion criteria. In total, we found 546 articles via PubMed and Google scholar, out of which 30 articles were mainly focusing on MVP, MVR as the major complication of MVP, and BMI, which were included in this systematic review. Results: Among these reviewed studies, patients with MVP had a lower BMI score compared to the subjects without MVP. The low and high BMI score were 28±5 kg/m and 31±6 kg/m, respectively. Conclusions: In the present study, we concluded that low BMI is directly associated with the occurrence of MVP.

  3. Is BMI a relevant marker of fat mass in 4 year old children? Results from the MINISTOP trial.

    Science.gov (United States)

    Delisle Nyström, Christine; Henriksson, Pontus; Ek, Anna; Henriksson, Hanna; Ortega, Francisco B; Ruiz, Jonatan R; Löf, Marie

    2018-03-20

    Due to the increase in childhood obesity, identifying children with excess body fat as early as possible is essential. Body mass index (BMI) is commonly used as a marker of body fat in children, adolescents, and adults, yet whether BMI is a valid marker of body fat in pre-school aged children remains to be confirmed. Therefore, we analyzed the associations of BMI with fat and fat-free mass in healthy 4-year-old Swedish children. The study comprised of 303 children (135 girls) participating in the MINISTOP obesity prevention trial. Fat and fat-free mass were measured using air displacement plethysmography and we computed fat mass index (FMI) and fat free mass index (FFMI) as fat and fat free mass (kg)/height 2 (m). BMI was positively yet weakly associated with percent fat mass (boys: r 2  = 0.120, P Children classified as normal weight had a wide range of percent fat mass (12.3 to 35.3%) and FMI (1.75 to 5.78 kg/m 2 ). BMI was strongly associated to both FMI and FFMI. Therefore, caution is needed when interpreting body fat status based on BMI values in pre-school children.

  4. 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......) than WC alone. We studied the prediction of abdominal subcutaneous fat mass (ASFM) and IAFM by WC alone and by addition of BMI as an explanatory factor....

  5. Body Mass Index (BMI) Trajectories in Infancy Differ by Population Ancestry and May Presage Disparities in Early Childhood Obesity

    Science.gov (United States)

    Roy, Sani M.; Chesi, Alessandra; Mentch, Frank; Xiao, Rui; Chiavacci, Rosetta; Mitchell, Jonathan A.; Kelly, Andrea; Hakonarson, Hakon; Grant, Struan F.A.; Zemel, Babette S.

    2015-01-01

    Context: No consensus definition exists for excess adiposity during infancy. After age 2 years, high body mass index (BMI) is related to adverse cardiometabolic outcomes. Before age 2 years, the utility of BMI as a metric of excess adiposity is unknown. Objectives: The objective of the study was to characterize infant BMI trajectories in a diverse, longitudinal cohort and investigate the relationship between the infancy BMI trajectory and childhood obesity. Subjects: Healthy, nonpreterm infants (n = 2114) in the Genetic Causes for Complex Pediatric Disorders study (The Children's Hospital of Philadelphia) with six or more BMI measurements in the first 13.5 months participated in the study. Design: For each infant, the BMI trajectory was modeled using polynomial regression. Independent effects of clinical factors on magnitude and timing of peak BMI were assessed. The relationship between infancy BMI and early childhood BMI (age 4 y) was examined (n = 1075). Results: The cohort was 53% male and 61% African-American. Peak BMI was 18.6 ± 1.7 kg/m2 and occurred at 8.6 ± 1.4 months. In multivariate analysis, boys had a higher (0.50 kg/m2, P BMI than girls. The peak was higher (0.53 kg/m2, P ≤ .001) and occurred earlier (by 12 d, P BMI. Conclusions: We demonstrate sex- and ancestry-specific differences in infancy BMI and an association of infancy peak BMI with childhood BMI. These findings support the potential utility of infancy BMI to identify children younger than age 2 years with increased risk for later obesity. PMID:25636051

  6. Effects of BMI, Fat Mass, and Lean Mass on Asthma in Childhood: A Mendelian Randomization Study

    Science.gov (United States)

    Granell, Raquel; Henderson, A. John; Evans, David M.; Smith, George Davey; Ness, Andrew R.; Lewis, Sarah; Palmer, Tom M.; Sterne, Jonathan A. C.

    2014-01-01

    Background Observational studies have reported associations between body mass index (BMI) and asthma, but confounding and reverse causality remain plausible explanations. We aim to investigate evidence for a causal effect of BMI on asthma using a Mendelian randomization approach. Methods and Findings We used Mendelian randomization to investigate causal effects of BMI, fat mass, and lean mass on current asthma at age 7½ y in the Avon Longitudinal Study of Parents and Children (ALSPAC). A weighted allele score based on 32 independent BMI-related single nucleotide polymorphisms (SNPs) was derived from external data, and associations with BMI, fat mass, lean mass, and asthma were estimated. We derived instrumental variable (IV) estimates of causal risk ratios (RRs). 4,835 children had available data on BMI-associated SNPs, asthma, and BMI. The weighted allele score was strongly associated with BMI, fat mass, and lean mass (all p-valuesBMI on asthma was 1.55 (95% CI 1.16–2.07) per kg/m2, p = 0.003. This effect appeared stronger for non-atopic (1.90, 95% CI 1.19–3.03) than for atopic asthma (1.37, 95% CI 0.89–2.11) though there was little evidence of heterogeneity (p = 0.31). The estimated causal RRs for the effects of fat mass and lean mass on asthma were 1.41 (95% CI 1.11–1.79) per 0.5 kg and 2.25 (95% CI 1.23–4.11) per kg, respectively. The possibility of genetic pleiotropy could not be discounted completely; however, additional IV analyses using FTO variant rs1558902 and the other BMI-related SNPs separately provided similar causal effects with wider confidence intervals. Loss of follow-up was unlikely to bias the estimated effects. Conclusions Higher BMI increases the risk of asthma in mid-childhood. Higher BMI may have contributed to the increase in asthma risk toward the end of the 20th century. Please see later in the article for the Editors' Summary PMID:24983943

  7. Correlates of antenatal body mass index (bmi as a determinant of birth weight – a longitudinal study

    Directory of Open Access Journals (Sweden)

    Saurabh Rambiharilal Shrivastava

    2012-09-01

    Full Text Available Objectives: To study the correlation between Body Mass Index (BMI in antenatal period and birth weight of child, along with the socio-demographic determinants of birth weight. Methods: A longitudinal study of one-year duration, from June 2010 to May 2011, was conducted in an urban slum of Mumbai, India. Universal sampling method was employed, including as subjects all pregnant women with minimum two Antenatal Care (ANC visits - and at least one in the third trimester - registered at an urban health centre from June to August 2010. Subjects with any pre-existing co-morbid illness or with past history of giving birth to twins or to any congenitally malformed child, or else, with outcome of still births or home delivery, were excluded. These women were followed up for the next months until delivery. Maternal weight was recorded at each visit and BMI was calculated, or the average BMI, in case of more than one visit in any trimester. Birth weight was recorded using hospital or maternity home records. Results: Prevalence of low birth weight was 26.7%. Correlation between maternal BMI of third trimester and neonatal birth weight was moderately positive. 60.8% of variability in birth weight can be predicted by maternal BMI in third trimester. Conclusions: Third trimester BMI can be used as a predictor of neonatal birth weight. Information, Education and Counseling (IEC activities regarding utilization of Antenatal Care (ANC services can help reducing the incidence of Low Birth Weight (LBW.

  8. Muscle mass, BMI, and mortality among adults in the United States: A population-based cohort study.

    Science.gov (United States)

    Abramowitz, Matthew K; Hall, Charles B; Amodu, Afolarin; Sharma, Deep; Androga, Lagu; Hawkins, Meredith

    2018-01-01

    The level of body-mass index (BMI) associated with the lowest risk of death remains unclear. Although differences in muscle mass limit the utility of BMI as a measure of adiposity, no study has directly examined the effect of muscle mass on the BMI-mortality relationship. Body composition was measured by dual-energy x-ray absorptiometry in 11,687 participants of the National Health and Nutrition Examination Survey 1999-2004. Low muscle mass was defined using sex-specific thresholds of the appendicular skeletal muscle mass index (ASMI). Proportional hazards models were created to model associations with all-cause mortality. At any level of BMI ≥22, participants with low muscle mass had higher body fat percentage (%TBF), an increased likelihood of diabetes, and higher adjusted mortality than other participants. Increases in %TBF manifested as 30-40% smaller changes in BMI than were observed in participants with preserved muscle mass. Excluding participants with low muscle mass or adjustment for ASMI attenuated the risk associated with low BMI, magnified the risk associated with high BMI, and shifted downward the level of BMI associated with the lowest risk of death. Higher ASMI was independently associated with lower mortality. Effects were similar in never-smokers and ever-smokers. Additional adjustment for waist circumference eliminated the risk associated with higher BMI. Results were unchanged after excluding unintentional weight loss, chronic illness, early mortality, and participants performing muscle-strengthening exercises or recommended levels of physical activity. Muscle mass mediates associations of BMI with adiposity and mortality and is inversely associated with the risk of death. After accounting for muscle mass, the BMI associated with the greatest survival shifts downward toward the normal range. These results provide a concrete explanation for the obesity paradox.

  9. Association of childhood body mass index and change in body mass index with first adult ischemic stroke

    DEFF Research Database (Denmark)

    Gjærde, Line K.; Gamborg, Michael; Ängquist, Lars

    2017-01-01

    IMPORTANCE: The incidence of ischemic stroke among young adults is rising and is potentially due to an increase in stroke risk factors occurring at younger ages, such as obesity. OBJECTIVES: To investigate whether childhood body mass index (BMI) and change in BMI are associated with adult ischemi...

  10. The Effects of Aerobic and Anaerobic Training Programs Applied to Elite Wrestlers on Body Mass Index (BMI) and Blood Lipids

    Science.gov (United States)

    Demirel, Nurcan; Özbay, Serhat; Kaya, Fatih

    2018-01-01

    The purpose of this study is to analyse the effects of aerobic and anaerobic training programs applied to elite wrestlers on body mass index (BMI) and blood lipids. 20 elite wrestlers, whose average age is (experimental group; 15.20 ± 4.61, n = 10), control group; 15.90 ± 2.08, n = 10), participated in the study and they were randomly divided into…

  11. Correlation between Body Mass Index, Gender, and Skeletal Muscle Mass Cut off Point in Bandung

    Directory of Open Access Journals (Sweden)

    Richi Hendrik Wattimena

    2017-09-01

    Full Text Available Objective: To determine the average skeletal muscle mass (SMM value in young adults as a reference population; to analyze the correlation of gender, and body mass index to the cut off point; and to determine skeletal muscle mass cut off points of population in Bandung, Indonesia. Methods: This was a cross-sectional study involving 199 participants, 122 females and 77 males. The sampling technique used was the multistage random sampling. The participants were those who lived in four major regions in Bandung, Indonesia: Sukajadi, Cicadas, Buah Batu, and Cibaduyut. Results: The average appendicular skeletal mass index (ASMI in females and males based on body mass index (BMI were identified. The average ASMI values for normal BMI in females was 5.982±0.462 kg/m2 while the average ASMI values normal BMI for males was 7.581±0.744 kg/m2 Conclusions: A correlation between BMI and ASMI that was considered statistically significant was found in females (0.7712; p<0.05 and a very significant correlation was seen in males (0.870; p<0.05. The cut off points were defined by the normal BMI, which were 5.059 for females and 6.093 for males.

  12. Effects of Body Mass Index on Lung Function Index of Chinese Population

    Science.gov (United States)

    Guo, Qiao; Ye, Jun; Yang, Jian; Zhu, Changan; Sheng, Lei; Zhang, Yongliang

    2018-01-01

    To study the effect of body mass index (BMI) on lung function indexes in Chinese population. A cross-sectional study was performed on 10, 592 participants. The linear relationship between lung function and BMI was evaluated by multivariate linear regression analysis, and the correlation between BMI and lung function was assessed by Pearson correlation analysis. Correlation analysis showed that BMI was positively related with the decreasing of forced vital capacity (FVC), forced expiratory volume in one second (FEV1) and FEV1/FVC (P <0.05), the increasing of FVC% predicted value (FVC%pre) and FEV1% predicted value (FEV1%pre). These suggested that Chinese people can restrain the decline of lung function to prevent the occurrence and development of COPD by the control of BMI.

  13. 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....

  14. ATLANTIC-DIP: raised maternal body mass index (BMI) adversely affects maternal and foetal outcomes in glucose tolerant women classified using International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria

    LENUS (Irish Health Repository)

    Dennedy, MC

    2011-09-15

    Background and aims: Raised maternal body mass index (BMI), in association with hyperglycaemia is associated with adverse pregnancy outcome. Whether BMI has an independent effect on adverse pregnancy outcome is not clear. We aimed to investigate the effects of raised maternal BMI on pregnancy outcome in glucose tolerant women, classified using the IADPSG criteria.\\r\

  15. 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...

  16. BMI and Lifetime Changes in BMI and Cancer Mortality Risk

    NARCIS (Netherlands)

    Taghizadeh, Niloofar; Boezen, H Marike; Schouten, Jan P; Schröder, Carolien P; de Vries, Elisabeth G. E.; Vonk, Judith M

    2015-01-01

    Body Mass Index (BMI) is known to be associated with cancer mortality, but little is known about the link between lifetime changes in BMI and cancer mortality in both males and females. We studied the association of BMI measurements (at baseline, highest and lowest BMI during the study-period) and

  17. Association between birthweight and later body mass index

    DEFF Research Database (Denmark)

    Jelenkovic, Aline; Yokoyama, Yoshie; Sund, Reijo

    2017-01-01

    Background: There is evidence that birthweight is positively associated with body mass index (BMI) in later life, but it remains unclear whether this is explained by genetic factors or the intrauterine environment. We analysed the association between birthweight and BMI from infancy to adulthood ...

  18. Relationship between body mass index and fibromyalgia features.

    Science.gov (United States)

    Yunus, Muhammad B; Arslan, Sule; Aldag, Jean C

    2002-01-01

    to evaluate the relationship between body mass index (BMI) and features of the fibromyalgia syndrome (FMS). 211 female patients with FMS seen consecutively in our rheumatology clinic were analyzed. Spearman correlation was used. Further, FMS features were compared at different levels of BMI (kg/m2), e.g., or = 25.00 (normal vs overweight). P value of BMI and age (pBMI and education (pBMI (pBMI in FMS with a trend towards significance for fatigue and TP. Weight loss may improve physical functioning in this disorder.

  19. Waist circumference, body mass index, and employment outcomes.

    Science.gov (United States)

    Kinge, Jonas Minet

    2017-07-01

    Body mass index (BMI) is an imperfect measure of body fat. Recent studies provide evidence in favor of replacing BMI with waist circumference (WC). Hence, I investigated whether or not the association between fat mass and employment status vary by anthropometric measures. I used 15 rounds of the Health Survey for England (1998-2013), which has measures of employment status in addition to measured height, weight, and WC. WC and BMI were entered as continuous variables and obesity as binary variables defined using both WC and BMI. I used multivariate models controlling for a set of covariates. The association of WC with employment was of greater magnitude than the association between BMI and employment. I reran the analysis using conventional instrumental variables methods. The IV models showed significant impacts of obesity on employment; however, they were not more pronounced when WC was used to measure obesity, compared to BMI. This means that, in the IV models, the impact of fat mass on employment did not depend on the measure of fat mass.

  20. 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

    2000-01-01

    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 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

  1. Body Mass Index and Sexual Maturation in Adolescent Patients with ...

    African Journals Online (AJOL)

    Background: Sickle cell anaemia (SCA) is associated with delayed sexual maturation. The Body Mass Index (BMI) or Quetelets Index is closely linked to events of puberty in normal children. We have so far, found no reports on studies on the relationship between BMI and puberty in patients with SCA. Objectives: To evaluate ...

  2. Change in Body Mass Index Associated With Lowest Mortality in Denmark, 1976-2013

    DEFF Research Database (Denmark)

    Afzal, Shoaib; Tybjærg-Hansen, Anne; Jensen, Gorm B

    2016-01-01

    IMPORTANCE: Research has shown a U-shaped pattern in the association of body mass index (BMI) with mortality. Although average BMI has increased over time in most countries, the prevalence of cardiovascular risk factors may also be decreasing among obese individuals over time. Thus, the BMI...... came first. EXPOSURES: For observational studies, BMI was modeled using splines and in categories defined by the World Health Organization. Body mass index was calculated as weight in kilograms divided by height in meters squared. MAIN OUTCOMES AND MEASURES: Main outcome was all-cause mortality...

  3. Relationship between blood pressure, body mass index and health ...

    African Journals Online (AJOL)

    Objective: Globally, studies have shown that the trend of overweight and obesity has increased astronomically and there is a close link between body mass index and blood pressure. This study determined the link between the body mass index (BMI), blood pressure and health promoting practices of women in rural and ...

  4. BMI and BMI SDS in childhood: annual increments and conditional change

    OpenAIRE

    Brannsether-Ellingsen, Bente; Eide, Geir Egil; Roelants, Mathieu; Bjerknes, Robert; Juliusson, Petur Benedikt

    2016-01-01

    Background: Early detection of abnormal weight gain in childhood may be important for preventive purposes. It is still debated which annual changes in BMI should warrant attention. Aim: To analyse 1-year increments of Body Mass Index (BMI) and standardised BMI (BMI SDS) in childhood and explore conditional change in BMI SDS as an alternative method to evaluate 1-year changes in BMI. Subjects and methods: The distributions of 1-year increments of BMI (kg/m2) and BMI SDS are summarised by...

  5. Influence of body mass index (BMI on functional improvements at 3 years following total knee replacement: a retrospective cohort study.

    Directory of Open Access Journals (Sweden)

    Paul Baker

    Full Text Available BACKGROUND: The number of patients presenting for total knee replacement who are classified as obese is increasing. The functional benefits of performing TKR in these patients are unclear. AIM: To assess the influence pre-operative body mass index has upon knee specific function, general health status and patient satisfaction at 3 years following total knee replacement. DESIGN: Retrospective comparative cohort study using prospectively collected data from an institutional arthroplasty register. METHODS: 1367 patients were assessed using the Western Ontario and McMaster University Osteoarthritis Index (WOMAC and Medical Outcomes Trust Short Form-36 (SF-36 scores supplemented by a validated measure of satisfaction pre-operatively and subsequently at 1,2 and 3 year post-operatively. Comparisons were made by dividing the cohort into 4 groups based on body mass index (BMI 18.5-25.0 kg/m(2 (n = 253;>25.0-30.0 kg/m(2 (n = 559;>30.0-35.0 kg/m(2 (n = 373;>35.0 kg/m(2 (n = 182. RESULTS: Despite lower pre-operative, 1 and 3 year WOMAC and SF-36 scores patients with the highest BMIs >35.0 kg/m(2 experienced similar improvements to patients with a 'normal' BMI (18.5-25.0 kg/m(2 at 1 year (Difference in WOMAC improvement = 0.0 (95%CI -5.2 to 5.2, p = 1.00 and this improvement was sustained at up to 3 years (Difference in 1 year to 3 year improvement = 2.2 (95%CI: -2.1 to 6.5, p = 1.00. This effect was also observed for the SF-36 mental and physical component scores. Despite equivalent functional improvements levels of satisfaction in the >35.0 kg/m(2 group were lower than for any other BMI group (>35.0 kg/m(2 = 84.6% satisfied versus 18.5-5.0 kg/m(2 = 93.3% satisfied,p = 0.01 as was the proportion of patients who stated they would have the operation again (>35.0 kg/m(2 = 69.6% versus 18.5-25.0 kg/m(2 = 82.2%,p = 0.01. CONCLUSION: Obese and morbidly obese patients gain as much functional benefit from

  6. Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI) Z-score among Brazilian adolescents.

    Science.gov (United States)

    Enes, Carla C; Slater, Betzabeth

    2013-06-01

    To assess whether changes in dietary intake and physical activity pattern are associated with the annual body mass index (BMI) z-score change among adolescents. The study was conducted in public schools in the city of Piracicaba, Sao Paulo, Brazil, with a probabilistic sample of 431 adolescents participating in wave I (2004) (hereafter, baseline) and 299 in wave II (2005) (hereafter, follow-up). BMI, usual food intake, physical activity, screen time, sexual maturation and demographic variables were assessed twice. The association between annual change in food intake, physical activity, screen time, and annual BMI z-score changes were assessed by multiple regression. The study showed a positive variation in BMI z-score over one-year. Among variables related to physical activity pattern only playing videogame and using computer increased over the year. The intake of fruits and vegetables and sugar-sweetened beverages increased over one year, while the others variables showed a reduction. An increased consumption of fatty foods (β = 0.04, p = 0.04) and sweetened natural fruit juices (β = 0.05, p = 0.03) was positively associated with the rise in BMI z-score. Unhealthy dietary habits can predict the BMI z-score gain more than the physical activity pattern. The intake of fatty foods and sweetened fruit juices is associated with the BMI z-score over one year.

  7. Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI Z-score among Brazilian adolescents*

    Directory of Open Access Journals (Sweden)

    Carla C. Enes

    2013-06-01

    Full Text Available Objective: To assess whether changes in dietary intake and physical activity pattern are associated with the annual body mass index (BMI z-score change among adolescents. Methods: The study was conducted in public schools in the city of Piracicaba, Sao Paulo, Brazil, with a probabilistic sample of 431 adolescents participating in wave I (2004 (hereafter, baseline and 299 in wave II (2005 (hereafter, follow-up. BMI, usual food intake, physical activity, screen time, sexual maturation and demographic variables were assessed twice. The association between annual change in food intake, physical activity, screen time, and annual BMI z-score changes were assessed by multiple regression. Results: The study showed a positive variation in BMI z-score over one-year. Among variables related to physical activity pattern only playing videogame and using computer increased over the year. The intake of fruits and vegetables and sugar-sweetened beverages increased over one year, while the others variables showed a reduction. An increased consumption of fatty foods (β = 0.04, p = 0.04 and sweetened natural fruit juices (β = 0.05, p = 0.03 was positively associated with the rise in BMI z-score. Conclusions: Unhealthy dietary habits can predict the BMI z-score gain more than the physical activity pattern. The intake of fatty foods and sweetened fruit juices is associated with the BMI z-score over one year.

  8. 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....

  9. 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....

  10. 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...

  11. Obesity-risk behaviours and their associations with body mass index (BMI) in Korean American children.

    Science.gov (United States)

    Jang, Myoungock; Grey, Margaret; Sadler, Lois; Jeon, Sangchoon; Nam, Soohyun; Song, Hee-Jung; Whittemore, Robin

    2017-08-03

    To describe obesity-risk behaviours (diet, physical activity and sedentary behaviour) and examine the relationships of the obesity-risk behaviours with body mass index (BMI) in school-aged Korean American children. Korean American children have a risk of becoming overweight or obese and developing obesity-related complications; however, there is limited research about obesity-risk behaviours in Korean American children. A cross-sectional study. Obesity-risk behaviours of children were assessed with well-validated self-report questionnaires (i.e., Elementary-level School-based Nutrition Monitoring Questionnaire) from children and their mothers. Height and weight of children were measured. Data were analysed with bivariate and multivariate analyses using mixed effects models to incorporate the correlation within siblings. A total of 170 Korean American children (mean age 10.9 [2.0] years; 52.4% girls; mean BMI 19.3 [3.2]; 28.7% ≥85 percentiles) participated in the study. Only 38.3% of Korean American children met established recommendations of five fruits/vegetables per day; 56.5% met recommendations for more than 3 days per week of vigorous physical activity; and 40.8% met recommendations for obesity in Korean American children and initiate clinical interventions to improve obesity-risk behaviours, especially sedentary behaviour, in Korean American children. Clinical assessment and management of the risk of developing overweight and obesity as well as obesity-related behaviours are important to improve obesity-related complications in overall Korean Americans. © 2017 John Wiley & Sons Ltd.

  12. Assessing exclusive breastfeeding practices, dietary intakes and body mass index (BMI) of nursing mothers in Ekiti State of Nigeria.

    Science.gov (United States)

    Ijarotimi, Oluwole Steve

    2010-06-01

    Breastfeeding is an unequalled way of providing ideal food for the infants. The benefits of breastfeeding practices to infants and mothers are well documented. However, information on breastfeeding practices and its effect on body mass index (BMI) of mothers are scarce, particularly in Ekiti State of Nigeria. Therefore, the present study is designed to assess breastfeeding practices and its association with BMI of mothers. A descriptive and cross-sectional study was conducted among breastfeeding mothers that attended postnatal clinic of the state specialist hospitals and maternity centers in the study location. The specialist hospital and two-third of the nine maternity centers were purposively selected because of their health facilities and personnel. The mother-child pairs (200 respondents) were randomly selected from the study locations. Information on demographic characteristic, socio-economic parameters, nutritional knowledge of breastfeeding and dietary intakes of mothers were collected using questionnaires. BMI of mothers was determined as described by World Health Organization. Age distribution of mothers was between 25-34 years; and almost half of respondents had good educational background and were engaged in different occupations. The respondent monthly income ranged between = N = 3500 - 26000 ($26.92 - $200); and their dietary intakes varied between starchy and protein-based food. The result also showed that the respondent consumed enough nutrients to meet up the recommended daily allowance for protein, carbohydrate, fat, zinc, magnesium, sodium and phosphorous requirements. The BMI classifications showed that over three-fifth of respondents were normal, while the remaining were underweight (6%) and overweight/obese (26.5%). Also, large proportion of respondents engaged in exclusive breastfeeding and with good knowledge of breastfeeding practices. Statistically, exclusive breastfeeding practices had no correlation between the BMI and frequency of

  13. Waist Circumference Adjusted for Body Mass Index and Intra-Abdominal Fat Mass

    Science.gov (United States)

    Berentzen, Tina Landsvig; Ängquist, Lars; Kotronen, Anna; Borra, Ronald; Yki-Järvinen, Hannele; Iozzo, Patricia; Parkkola, Riitta; Nuutila, Pirjo; Ross, Robert; Allison, David B.; Heymsfield, Steven B.; Overvad, Kim; Sørensen, Thorkild I. A.; Jakobsen, Marianne Uhre

    2012-01-01

    Background 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) than WC alone. We studied the prediction of abdominal subcutaneous fat mass (ASFM) and IAFM by WC alone and by addition of BMI as an explanatory factor. Methodology/Principal Findings WC, BMI and magnetic resonance imaging data from 742 men and women who participated in clinical studies in Canada and Finland were pooled. Total adjusted squared multiple correlation coefficients (R2) of ASFM and IAFM were calculated from multiple linear regression models with WC and BMI as explanatory variables. Mean BMI and WC of the participants in the pooled sample were 30 kg/m2 and 102 cm, respectively. WC explained 29% of the variance in ASFM and 51% of the variance in IAFM. Addition of BMI to WC added 28% to the variance explained in ASFM, but only 1% to the variance explained in IAFM. Results in subgroups stratified by study center, sex, age, obesity level and type 2 diabetes status were not systematically different. Conclusion/Significance The prediction of IAFM by WC is not improved by addition of BMI. PMID:22384179

  14. Body Mass Index (BMI) and All-Cause Mortality Pooling Project

    Science.gov (United States)

    The BMI and All-Cause Mortality Pooling Project quantified the risk associated with being overweight and the extent to which the relationship between BMI and all-cause mortality varies by certain factors.

  15. 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.

  16. Body Mass Index at onset of Puberty in Rats Exposed to Aqueous ...

    African Journals Online (AJOL)

    Rev Dr Olaleye

    ... Index Medicus (WHO), CAB Abstracts, Index Copernicus, Global Health Abstracts, Asian Science Index, Index ... has any effect on body weight, body mass index (BMI) and weights of some ... detrimental when nutrition was more abundant in.

  17. Maternal Employment, Work Schedules, and Children's Body Mass Index

    Science.gov (United States)

    Morrissey, Taryn W.; Dunifon, Rachel E.; Kalil, Ariel

    2011-01-01

    Previous work has shown that mothers' employment is associated with increases in children's body mass index (BMI), a measure of weight for height. Nonstandard work (working evenings or nights, weekends, or an irregular shift) may also be associated with children's BMI. This article examines the association between maternal work and children's BMI…

  18. The U-shaped association of body mass index with mortality

    DEFF Research Database (Denmark)

    Jørgensen, Terese Sara Høj; Osler, Merete; Ängquist, Lars Henrik

    2016-01-01

    OBJECTIVE: The U-shaped association between body mass index (BMI) and mortality may depend on other traits with permanent health effects. Whether the association between BMI and mortality depends on levels of health-related traits known to be inversely associated with mortality throughout adult...

  19. Summer effects on body mass index (BMI) gain and growth patterns of American Indian children from kindergarten to first grade: a prospective study

    OpenAIRE

    Zhang, Jianduan; Himes, John H; Hannan, Peter J; Arcan, Chrisa; Smyth, Mary; Rock, Bonnie Holy; Story, Mary

    2011-01-01

    Abstract Background Overweight and obesity are highly prevalent among American Indian children, especially those living on reservations. There is little scientific evidence about the effects of summer vacation on obesity development in children. The purpose of this study was to investigate the effects of summer vacation between kindergarten and first grade on growth in height, weight, and body mass index (BMI) for a sample of American Indian children. Methods Children had their height and wei...

  20. Body Mass Index and Operating Times in Vascular Procedures

    Directory of Open Access Journals (Sweden)

    M. Durup-Dickenson

    Full Text Available : Introduction: The influence of body mass index (BMI on operating times in central and peripheral vascular surgical procedures was investigated. Report: A national cohort of Danish patients who underwent a vascular procedure between 1983 and 2012 was used for analysis. Data were analysed with pairwise comparisons of BMI groups for operating times using the independent samples Kruskall–Wallis test. Discussion: A total of 3,255 carotid endarterectomies; 6,885 central vascular procedures; and 4,488 peripheral bypasses were included for the analysis. Median operating times for carotid endarterectomy and central vascular procedures were, respectively, 5 and 15 minutes longer in obese patients than in normal weight patients. This represents a 7% and 10% increase in median operating times, respectively. Linear and multi-adjusted linear regressions were conducted adjusting for confounders, showing a significant correlation between BMI and operating time. Obesity significantly increased the operating times in carotid endarterectomy and central vascular procedures. These may have ramifications for the individual operative stress but not necessarily on logistical operation planning. Keywords: Body mass index (BMI, Obesity, Operating time, Surgery, Vascular surgical procedures

  1. Body mass index and breast cancer survival

    DEFF Research Database (Denmark)

    Guo, Qi; Burgess, Stephen; Turman, Constance

    2017-01-01

    Background: There is increasing evidence that elevated body mass index (BMI) is associated with reduced survival for women with breast cancer. However, the underlying reasons remain unclear. We conducted a Mendelian randomization analysis to investigate a possible causal role of BMI in survival...... from breast cancer. Methods: We used individual-level data from six large breast cancer case-cohorts including a total of 36 210 individuals (2475 events) of European ancestry. We created a BMI genetic risk score (GRS) based on genotypes at 94 known BMI-associated genetic variants. Association between...... the BMI genetic score and breast cancer survival was analysed by Cox regression for each study separately. Study-specific hazard ratios were pooled using fixed-effect meta-analysis. Results: BMI genetic score was found to be associated with reduced breast cancer-specific survival for estrogen receptor (ER...

  2. 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.

  3. 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…

  4. The Impact of Sleep-Disordered Breathing on Body Mass Index (BMI): The Sleep Heart Health Study (SHHS).

    Science.gov (United States)

    Brown, Mark A; Goodwin, James L; Silva, Graciela E; Behari, Ajay; Newman, Anne B; Punjabi, Naresh M; Resnick, Helaine E; Robbins, John A; Quan, Stuart F

    2011-12-08

    INTRODUCTION: It is well known that obesity is a risk factor for sleep-disordered breathing (SDB). However, whether SDB predicts increase in BMI is not well defined. Data from the Sleep Heart Health Study (SHHS) were analyzed to determine whether SDB predicts longitudinal increase in BMI, adjusted for confounding factors. METHODS: A full-montage unattended home polysomnogram (PSG) and body anthropometric measurements were obtained approximately five years apart in 3001 participants. Apnea-hypopnea index (AHI) was categorized using clinical thresholds: sleep apnea), and ≥ 15 (moderate to severe sleep apnea). Linear regression was used to examine the association between the three AHI groups and increased BMI. The model included age, gender, race, baseline BMI, and change in AHI as covariates. RESULTS: Mean (SD) age was 62.2 years (10.14), 55.2% were female and 76.1% were Caucasian. Five-year increase in BMI was modest with a mean (SD) change of 0.53 (2.62) kg/m(2) (p=0.071). A multivariate regression model showed that subjects with a baseline AHI between 5-15 had a mean increase in BMI of 0.22 kg/m(2) (p=0.055) and those with baseline AHI ≥ 15 had a BMI increase of 0.51 kg/m(2) (plosing weight.

  5. Underreporting of energy, protein and potassium intake in relation to body mass index

    NARCIS (Netherlands)

    Heerstrass, D W; Ocké, M C; Bueno De Mesquita, H Bas; Peeters, P.H.; Seidell, J C

    BACKGROUND: Differential underreporting of dietary intake by subgroups of body mass index (BMI) will confound associations between dietary intake and BMI-related diseases. We estimated the magnitude of BMI-related underreporting for energy, protein, and potassium intake for the Dutch cohorts of the

  6. 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 association between body mass index (BMI) and stroke patient's risk of having a history of previous stroke (recurrent stroke)....

  7. Assessment of Body Mass Index (BMI in 6-11 Years Old Primary School Children in Tabriz City, Iran

    Directory of Open Access Journals (Sweden)

    Nazila Farrin

    2016-06-01

    Full Text Available Background and Objectives: The prevalence of childhood overweight and obesity has been increasingly growing in many societies. The present study aimed to determine body mass index (BMI in primary school boys and girls in Tabriz city. Methods: This descriptive cross-sectional study was conducted on 857 primary school students of Tabriz city in 2012-2013. First, BMI of each person was calculated, and according to the NCHS standard curves, the values below the 5th percentile were considered as malnutrition and underweight, between the 85th-95th percentiles as overweight, and equal to or above the 95th percentile as obesity. Data were analyzed by one-sample t-test and t-test. The significance level was considered to be p<0.05. Results: According to the BMI data, the frequency of underweight, overweight, and obesity in the male students, were 20.9, 5.5, and 3.1%, and in female students were 18.8, 9.7, 0.9%, and in the total number of students were 20.1, 7.4, and 2.1%, respectively. Compared to the 50th percentile, the mean BMI in male students in the age group of 9 years was higher (p<0.01 and in the age group of 6 years was lower (p<0.05. This comparison in the female students indicated higher mean BMI in the age groups of 7, 9, 10, and 11 years compared to the 50th percentile (p<0.05. The frequency of overweight among female students (9.7% was higher than male students (5.5%. However, the frequency of obesity in the male students was approximately 3.5 times higher than female students (p<0.05. Conclusion: Given the existence of both malnutrition states of underweight and obesity in the students and also the significant effect of childhood body weight on chronic disorders in adulthood, proper nutrition planning is necessary at the school level.

  8. Observing Maternal Restriction of Food with 3–5-Year-Old Children: Relationships with Temperament and Later Body Mass Index (BMI

    Directory of Open Access Journals (Sweden)

    Claire V. Farrow

    2018-06-01

    Full Text Available Overt parental restriction of food has previously been associated with child weight; however, most research has relied on self-reported feeding behaviour, or observations which give little opportunity to observe restriction of food. Using a novel lab-based observational technique to increase the opportunity to observe maternal feeding restriction, we explored the relationships between maternal restriction, child responses to restriction and child temperament with child body mass index (BMI Z-scores over time. Sixty-two mother child dyads were recruited to the study when their children were aged 3–5 years and were followed up 2 years later (N = 39 dyads. Families were observed during a feeding interaction in the laboratory where cookies were offered with the main meal to increase the opportunity for maternal restriction of food. Feeding observations were coded and child temperament and BMI were measured. Controlling for current child BMI Z-scores, greater maternal verbal and physical restriction of food at 3–5 years was related to higher child BMI Z-scores at 5–7 years. More emotional children were less likely to experience restriction and less likely to accept attempts to restrict their food intake. Further research should consider children’s reactions to parental feeding behaviours in greater depth and explore how feeding practices interact with child temperament in the prediction of changes in child weight.

  9. Beyond Body Mass Index. Is the Body Cell Mass Index (BCMI) a useful prognostic factor to describe nutritional, inflammation and muscle mass status in hospitalized elderly?: Body Cell Mass Index links in elderly.

    Science.gov (United States)

    Rondanelli, Mariangela; Talluri, Jacopo; Peroni, Gabriella; Donelli, Chiara; Guerriero, Fabio; Ferrini, Krizia; Riggi, Emilia; Sauta, Elisabetta; Perna, Simone; Guido, Davide

    2018-06-01

    The aim of this study was to establish the effectiveness of Body Cell Mass Index (BCMI) as a prognostic index of (mal)nutrition, inflammation and muscle mass status in the elderly. A cross-sectional observational study has been conducted on 114 elderly patients (80 women and 34 men), with mean age equal to 81.07 ± 6.18 years. We performed a multivariate regression model by Structural Equation Modelling (SEM) framework. We detected the effects over a Mini Nutritional Assessment (MNA) stratification, by performing a multi-group multivariate regression model (via SEM) in two MNA nutritional strata, less and bigger (or equal) than 17. BCMI had a significant effect on albumin (β = +0.062, P = 0.001), adjusting for the other predictors of the model as Body Mass Index (BMI), age, sex, fat mass and cognitive condition. An analogous result is maintained in MNAelderly patients. Copyright © 2017 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  10. Pilates versus resistance exercise on the serum levels of hs-CRP, in the abdominal circumference and body mass index (BMI) in elderly individuals

    OpenAIRE

    Pestana, Maria Dida Silva; Netto, Eduardo Martins; Pestana, Manuella Castro Silva; Pestana, Vitor Silva; Schinoni, Maria Isabel

    2016-01-01

    Recent studies have shown that the elderly exhibit a subclinical state of inflammation associated with increased adipose tissue and several comorbidities. To compare the effects of mat Pilates based exercises and resistance exercise on the serum levels of reactive C protein of high sensitivity (hs-CRP), in the abdominal circumference (AC) and the body mass index (BMI) in the elderly. It is a randomised clinical trial with a sample of 78 elderly individuals (median age 69 years). The active in...

  11. Relationship between Body Mass Index, Cardiorespiratory and Musculoskeletal Fitness among South African Adolescent Girls.

    Science.gov (United States)

    Bonney, Emmanuel; Ferguson, Gillian; Smits-Engelsman, Bouwien

    2018-05-28

    Background : Cardiorespiratory and musculoskeletal fitness are important health indicators that support optimal physical functioning. Understanding the relationship between body mass index and these health markers may contribute to the development of evidence-based interventions to address obesity-related complications. The relationship between body mass index, cardiorespiratory and musculoskeletal fitness has not been well explored, particularly in female adolescents. The aim of this study was to investigate the association between body mass index, cardiorespiratory and musculoskeletal fitness among South African adolescent girls in low-income communities. Methods : This cross-sectional study included 151 adolescent girls, aged 13⁻16 years. Cardiorespiratory fitness was measured using the 20 m shuttle run test and musculoskeletal fitness was assessed using a variety of field-based tests. Height and weight were measured with standardised procedures and body mass index (BMI) was derived by the formula [BMI = weight (kg)/height (m)²]. Participants were categorised into three BMI groups using the International Obesity Task Force age- and gender-specific cut-off points. Pearson correlations were used to determine the association between body mass index, cardiorespiratory fitness and measures of musculoskeletal fitness at p ≤ 0.05. Results : Overweight and obese girls were found to have lower cardiorespiratory fitness, decreased lower extremity muscular strength, greater grip strength, and more hypermobile joints compared to normal-weight peers. BMI was negatively associated with cardiorespiratory fitness and lower extremity muscular strength. Conclusions : The findings indicate that increased body mass correlates with decreased cardiorespiratory and musculoskeletal fitness. Interventions should be developed to target these important components of physical fitness in this demographic group.

  12. The impact of body mass index (BMI variation on mortality of incident elderly patients on peritoneal dialysis: a joint model analysis

    Directory of Open Access Journals (Sweden)

    Marcia Regina Gianotti Franco

    Full Text Available Abstract Introduction: Data on impact of high body mass index (BMI on mortality of patients on peritoneal dialysis (PD, especially among elderly, are inconsistent. Objective: To evaluate impact of BMI on cohort of incident elderly PD patients over time. Methods: Prospective multicenter cohort study (December / 2004-October/2007 with 674 patients. Socio-demographic and clinical data evaluated with patients followed until death, transfer to hemodialysis (HD, recovery of renal function, loss of follow-up or transplant. Patients were divided into incident on renal replacement therapy (RRT for PD (PD first: 230 and transferred from hemodialysis (HD first: 444. Analysis was performed comparing these two groups using chi-square or Kruskal Wallis. Similar analysis was used to compare patients on automated peritoneal dialysis (APD vs. continuous ambulatory peritoneal dialysis (CAPD. Data were compared between patients according to BMI by ANOVA, Kruskal Wallis or chi-square. For analysis of survival, Kaplan Meier method was used and to adjust confounding variables, Cox regression proportional hazard. Joint model for longitudinal and time-dependent data was conducted, assessing impact that a longitudinal variable displays on time of survival. Results: Malnourished patients (76.79 ± 7.53 years were older (p < 0.0001 with higher percentage of death (44.6%, p = 0.001; diabetes mellitus showed high prevalence in obese patients (68%, p < 0.0001; higher blood pressure levels (p = 0.002 were present in obese and overweight patients. Conclusions: Increased BMI variation over time proved to be a protective factor, with a decrease of about 1% in risk of death for every BMI unit earned.

  13. 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)...

  14. 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…

  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. 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.

  17. Using body mass index to predict optimal thyroid dosing after thyroidectomy.

    Science.gov (United States)

    Ojomo, Kristin A; Schneider, David F; Reiher, Alexandra E; Lai, Ngan; Schaefer, Sarah; Chen, Herbert; Sippel, Rebecca S

    2013-03-01

    Current postoperative thyroid replacement dosing is weight based, with adjustments made after thyroid-stimulating hormone values. This method can lead to considerable delays in achieving euthyroidism and often fails to accurately dose over- and underweight patients. Our aim was to develop an accurate dosing method that uses patient body mass index (BMI) data. A retrospective review of a prospectively collected thyroid database was performed. We selected adult patients undergoing thyroidectomy, with benign pathology, who achieved euthyroidism on thyroid hormone supplementation. Body mass index and euthyroid dose were plotted and regression was used to fit curves to the data. Statistical analysis was performed using STATA 10.1 software (Stata Corp). One hundred twenty-two patients met inclusion criteria. At initial follow-up, only 39 patients were euthyroid (32%). Fifty-three percent of patients with BMI >30 kg/m(2) were overdosed, and 46% of patients with BMI regression equation was derived for calculating initial levothyroxine dose (μg/kg/d = -0.018 × BMI + 2.13 [F statistic = 52.7, root mean square error of 0.24]). The current standard of weight-based thyroid replacement fails to appropriately dose underweight and overweight patients. Body mass index can be used to more accurately dose thyroid hormone using a simple formula. Copyright © 2013 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

  18. Obesity as defined by waist circumference but not body mass index is associated with higher renal mass complexity.

    Science.gov (United States)

    Bertrand, Laura A; Thomas, Lewis J; Li, Peng; Buchta, Claire M; Boi, Shannon K; Orlandella, Rachael M; Brown, James A; Nepple, Kenneth G; Norian, Lyse A

    2017-11-01

    Obesity, typically defined as a body mass index (BMI)≥30kg/m 2 , is an established risk factor for renal cell carcinoma (RCC) but is paradoxically linked to less advanced disease at diagnosis and improved outcomes. However, BMI has inherent flaws, and alternate obesity-defining metrics that emphasize abdominal fat are available. We investigated 3 obesity-defining metrics, to better examine the associations of abdominal fat vs. generalized obesity with renal tumor stage, grade, or R.E.N.A.L. nephrometry score. In a prospective cohort of 99 subjects with renal masses undergoing resection and no evidence of metastatic disease, obesity was assessed using 3 metrics: body mass index (BMI), radiographic waist circumference (WC), and retrorenal fat (RRF) pad distance. R.E.N.A.L. nephrometry scores were calculated based on preoperative CT or MRI. Univariate and multivariate analyses were performed to identify associations between obesity metrics and nephrometry score, tumor grade, and tumor stage. In the 99 subjects, surgery was partial nephrectomy in 51 and radical nephrectomy in 48. Pathology showed benign masses in 11 and RCC in 88 (of which 20 had stage T3 disease). WC was positively correlated with nephrometry score, even after controlling for age, sex, race, and diabetes status (P = 0.02), whereas BMI and RRF were not (P = 0.13, and P = 0.57, respectively). WC in stage T2/T3 subjects was higher than in subjects with benign masses (P = 0.03). In contrast, subjects with Fuhrman grade 1 and 2 tumors had higher BMI (Pobesity measured by WC, but not BMI or RRF, is associated with increased renal mass complexity. Tumor Fuhrman grade exhibited a different trend, with both high WC and BMI associated with lower-grade tumors. Our findings indicate that WC and BMI are not interchangeable obesity metrics. Further evaluation of RCC-specific outcomes using WC vs. BMI is warranted to better understand the complex relationship between general vs. abdominal obesity and RCC

  19. 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....

  20. Body mass index (BMI) in the Saudi population of Gassim.

    Science.gov (United States)

    Soyannwo, M A; Kurashi, N Y; Gadallah, M; Hams, J; el-Essawi, O; Khan, N A; Singh, R G; Alamri, A; Beyari, T H

    1998-01-01

    In a total cross-sectional population survey of the Faizia East Primary Health District of Buraidah, Gassim region of Saudi Arabia, 6,044 (2727 male and 3317 females) subjects out of a de facto population of 7695 got their BMI computed because infants and restless or bedridden subjects could not be examined. Mean (+/- SD) and percentiles (25th & 75th) were calculated in the conventional 5-year age cohorts as well as in functional age groups, namely, 0-5, 6-12, 13-49, 50-69 and 70+ years. 5th, 10th, 25th, 50th, 75th, 90th and 95th percentiles were computed only for the functional age groups. In general, the trend was for BMI to increase with age in both genders but the curve pattern showed some plateauing from about the age of 50 with slight decline in later life. Females had significantly higher indices than males, this becoming quite prominent from the 10-14 year age cohort. This difference persisted irrespective of the types of age grouping or residential location. Overall means (+/- SD) were 20.14 +/- 5.98 vs 22.22 +/- 7.21 for males and females respectively; df: 5771; p = 0.0000; 95% CI: -2.43, -1.735. Subjects in the urban living environment had significant higher indices than their rural counterpart: (21.666.92 vs 20.446.33: df: 5771; P = 0.0000; 95% CI: 1.595, -0.840). From the age of 15 about one quarter of females are overweight (BMI at the 75th percentile > 25) and from 30 years the same proportion are frankly obese (BMI > 30). Both systolic and diastolic blood pressure were significantly positively correlated with BMI in both genders: male SBP: r = 0.22, P r = 0.21, P r = 0.18, P < 0.00001.

  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 339,224 individu......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......, insulin secretion/action, energy metabolism, lipid biology and adipogenesis....

  2. 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.…

  3. Relationship between Body Mass Index, Cardiorespiratory and Musculoskeletal Fitness among South African Adolescent Girls

    Directory of Open Access Journals (Sweden)

    Emmanuel Bonney

    2018-05-01

    Full Text Available Background: Cardiorespiratory and musculoskeletal fitness are important health indicators that support optimal physical functioning. Understanding the relationship between body mass index and these health markers may contribute to the development of evidence-based interventions to address obesity-related complications. The relationship between body mass index, cardiorespiratory and musculoskeletal fitness has not been well explored, particularly in female adolescents. The aim of this study was to investigate the association between body mass index, cardiorespiratory and musculoskeletal fitness among South African adolescent girls in low-income communities. Methods: This cross-sectional study included 151 adolescent girls, aged 13–16 years. Cardiorespiratory fitness was measured using the 20 m shuttle run test and musculoskeletal fitness was assessed using a variety of field-based tests. Height and weight were measured with standardised procedures and body mass index (BMI was derived by the formula [BMI = weight (kg/height (m2]. Participants were categorised into three BMI groups using the International Obesity Task Force age- and gender-specific cut-off points. Pearson correlations were used to determine the association between body mass index, cardiorespiratory fitness and measures of musculoskeletal fitness at p ≤ 0.05. Results: Overweight and obese girls were found to have lower cardiorespiratory fitness, decreased lower extremity muscular strength, greater grip strength, and more hypermobile joints compared to normal-weight peers. BMI was negatively associated with cardiorespiratory fitness and lower extremity muscular strength. Conclusions: The findings indicate that increased body mass correlates with decreased cardiorespiratory and musculoskeletal fitness. Interventions should be developed to target these important components of physical fitness in this demographic group.

  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-percenti......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......-percentiles occurred during the obesity epidemic. Methods: In the Copenhagen School Health Records Register (CSHRR) boys and girls with measures of BMI at age 13 years later became 37,792 spousal-pairs who married between 1945 and 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 analyzed for marriages entered during the years prior to (1945-1970), and during the obesity epidemic...

  5. 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....

  6. The impact of age and sex adjusted body mass index (ISO-BMI) in obese versus non-obese children and adolescents with cholecystectomy.

    Science.gov (United States)

    Kiuru, Eveliina; Kokki, Hannu; Juvonen, Petri; Lintula, Hannu; Paajanen, Hannu; Gissler, Mika; Eskelinen, Matti

    2014-01-01

    The impact of the age and sex adjusted body mass index (ISO-BMI) in the obese vs. non-obese children and adolescents with cholecystectomy for cholelithias is rarely reported. The national database was searched for cholecystectomies performed in paediatric patients between 1997 and 2011, and the 59 paediatric and adolescent patients having cholecystectomy in the Kuopio University Hospital district were divided in two groups by age and sex adjusted BMI (ISO-BMI) using the cut-off point of overweight (ISO-BMI 25 kg/m(2)) based on the Finnish growth standards. Nationwide a total of 840 cholecystectomies were performed during the 15 years study period in Finland, most of which included females (77%), resulting in a mean of annual frequency of 4.8 (range: 3.9-6.1) procedures/100,000 population. In the study sample, most of the patients with the cholelithiasis were female (50/59, 85%). The gender distribution was equal among the younger patients, but among adolescents 6/52 (12%) of the patients with cholelithiasis were boys and 46/52 (88%) of the patients with cholelithiasis were girls. Obesity did not affect on operative parameters. The median operative time was 70 min (range, 30-155) and 66 min (44-130) in the high ISO-BMI-group. The recovery was similar in the two groups: the median length of hospital stay was 4 days in both groups. The patients in the low ISO-BMI-group vs. high ISO-BMI-group had a trend of higher serum bilirubin (p=0.16) and serum AFOS values (p=0.19). In the histological examination of the gallbladders 19/28 (68%) patients in the low ISO-BMI-group had inflammation vs. 26/31 (84%) patients in the high ISO-BMI-group (p=0.15). Our results between obese and non-obese children and adolescents with cholelithiasis are not statistically significant. The obese adolescents with female gender are in greater risk for cholelithiasis. Copyright © 2014 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

  7. Evaluation of body mass index and plasma lipid profile in dogs ...

    African Journals Online (AJOL)

    This study evaluated the body mass index (BMI), plasma lipid profile and gait assessment score (GAS) in dogs. Body weights (BW), height (H) at shoulder and waist circumference (WC) were obtained from fifty client-owned dogs of both sexes to determine the BMI. In addition, body condition score (BCS) and GAS were ...

  8. Evaluation of body mass index and plasma lipid profile in Boerboel ...

    African Journals Online (AJOL)

    This study evaluated the body mass index (BMI) and plasma lipid profile in Boerboel dogs. Body weights (BW), height (H) at shoulder and waist circumference (WC) were obtained from fifty-three Boerboels to determine the BMI while, body condition score (BCS) was determined subjectively. Also 5mls of blood was obtained ...

  9. The impact of sleep-disordered breathing on body mass index (BMI: the sleep heart health study (SHHS

    Directory of Open Access Journals (Sweden)

    Robbins JA

    2011-12-01

    Full Text Available Introduction: It is well known that obesity is a risk factor for sleep-disordered breathing (SDB. However, whether SDB predicts increase in BMI is not well defined. Data from the Sleep Heart Health Study (SHHS were analyzed to determine whether SDB predicts longitudinal increase in BMI, adjusted for confounding factors.Methods: A full-montage unattended home polysomnogram (PSG and body anthropometric measurements were obtained approximately five years apart in 3001 participants. Apnea-hypopnea index (AHI was categorized using clinical thresholds: < 5 (normal, ≥ 5 to <15 (mild sleep apnea, and ³ 15 (moderate to severe sleep apnea. Linear regression was used to examine the association between the three AHI groups and increased BMI. The model included age, gender, race, baseline BMI, and change in AHI as covariates.Results: Mean (SD age was 62.2 years (10.14, 55.2% were female and 76.1% were Caucasian. Five-year increase in BMI was modest with a mean (SD change of 0.53 (2.62 kg/m2 (p=0.071. A multivariate regression model showed that subjects with a baseline AHI between 5-15 had a mean increase in BMI of 0.22 kg/m2 (p=0.055 and those with baseline AHI ≥ 15 had a BMI increase of 0.51 kg/m2 (p<0.001 compared to those with baseline AHI of <5.Conclusion: Our findings suggest that there is a positive association between severity of SDB and subsequent increased BMI over approximately 5 years. This observation may help explain why persons with SDB have difficulty losing weight.

  10. 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...

  11. Interrelationships Between Walkability, Air Pollution, Greenness, and Body Mass Index.

    Science.gov (United States)

    James, Peter; Kioumourtzoglou, Marianthi-Anna; Hart, Jaime E; Banay, Rachel F; Kloog, Itai; Laden, Francine

    2017-11-01

    Recent studies have linked urban environmental factors and body mass index (BMI); however, such factors are often examined in isolation, ignoring correlations across exposures. Using data on Nurses' Health Study participants living in the Northeastern United States in 2006, we estimated associations between neighborhood walkability (a composite of population density, street connectivity, and business access), greenness (from satellite imagery), and ambient air pollution (from satellite-based spatiotemporally resolved PM2.5 predictions and weighted monthly average concentrations of NO2 from up to five nearest monitors) and self-reported BMI using generalized additive models, allowing for deviations from linearity using penalized splines. Among 23,435 women aged 60-87 years, we observed nonlinear associations between walkability and BMI and between PM2.5 and BMI in single-exposure models adjusted for age, race, and individual- and area-level socioeconomic status. When modeling all exposures simultaneously, only the association between walkability and BMI remained nonlinear and nonmonotonic. Increasing walkability was associated with increasing BMI at lower levels of walkability (walkability index walkability was linked to lower BMI in areas of higher walkability (walkability index >1.8). A 10 percentile increase in walkability, right above 1.8 was associated with a 0.84% decrease in log BMI. The relationship between walkability and BMI existed only among younger participants (walkability was nonlinearly linked to lower BMI independent of air pollution and greenness. Our findings highlight the importance of accounting for nonlinear confounding by interrelated urban environmental factors when investigating associations between the environment and BMI.

  12. Neighborhood Walkability and Body Mass Index Trajectories: Longitudinal Study of Canadians.

    Science.gov (United States)

    Wasfi, Rania A; Dasgupta, Kaberi; Orpana, Heather; Ross, Nancy A

    2016-05-01

    To assess the impact of neighborhood walkability on body mass index (BMI) trajectories of urban Canadians. Data are from Canada's National Population Health Survey (n = 2935; biannual assessments 1994-2006). We measured walkability with the Walk Score. We modeled body mass index (BMI, defined as weight in kilograms divided by the square of height in meters [kg/m(2)]) trajectories as a function of Walk Score and sociodemographic and behavioral covariates with growth curve models and fixed-effects regression models. In men, BMI increased annually by an average of 0.13 kg/m(2) (95% confidence interval [CI] = 0.11, 0.14) over the 12 years of follow-up. Moving to a high-walkable neighborhood (2 or more Walk Score quartiles higher) decreased BMI trajectories for men by approximately 1 kg/m(2) (95% CI = -1.16, -0.17). Moving to a low-walkable neighborhood increased BMI for men by approximately 0.45 kg/m(2) (95% CI = 0.01, 0.89). There was no detectable influence of neighborhood walkability on body weight for women. Our study of a large sample of urban Canadians followed for 12 years confirms that neighborhood walkability influences BMI trajectories for men, and may be influential in curtailing male age-related weight gain.

  13. BMI may underestimate the socioeconomic gradient in true obesity

    NARCIS (Netherlands)

    van den Berg, G.; van Eijsden, M.; Vrijkotte, T. G. M.; Gemke, R. J. B. J.

    2013-01-01

    Body mass index (BMI) does not make a distinction between fat mass and lean mass. In children, high fat mass appears to be associated with low maternal education, as well as low lean mass because maternal education is associated with physical activity. Therefore, BMI might underestimate true obesity

  14. Assessment of the physical activity, body mass index and energy ...

    African Journals Online (AJOL)

    Background: Declining levels of physical activity at workplaces, during leisure time and when travelling, accompanied by increasing exposure to the mass media, are major determinants of the global obesity epidemic. This study aimed to assess physical activity, the body mass index (BMI) and energy intake of human ...

  15. BMI and body fat mass is inversely associated with vitamin D levels in older individuals

    NARCIS (Netherlands)

    Araghi, S.O.; Dijk, van S.C.; Ham, A.C.; Brouwer, E.M.; Enneman, A.W.; Sohl, E.; Swart, K.M.A.; Zwaluw, van der N.L.; Wijngaarden, van J.P.; Dhonukshe-Rutten, R.A.M.; Groot, de C.P.G.M.

    2015-01-01

    Objectives: To assess the association between obesity (measured by Body Mass Index (BMI) and fat percentage) and serum 25(OH)D levels in older persons. Design: Cross-sectional analysis of data from ‘the B-PROOF study’ (B-vitamins for the Prevention Of Osteoporotic Fractures). Participants: 2842

  16. RELATION OF BODY MASS INDEX (BMI TO STUDENTS’ ACHIEVEMENTS AND PERFORMANCE REGARDING THEIR MOTOR ABILITIES

    Directory of Open Access Journals (Sweden)

    Viktor Mitrevski

    2013-07-01

    Full Text Available The research has been conducted on 192 school boys, aged 15 (±3 months. All of them were regular attenders in the class of Physical Education and Sport at primary school. According to BMI (the coefficient of fat, there were determined three subsam¬ples of entities. The aim of the regressive analysis is to establish how the obtained index of fat is related to the students’ achievements and demonstration of their motor abilities.

  17. Comparison of Body Mass Index (BMI, Body Adiposity Index (BAI, Waist Circumference (WC, Waist-To-Hip Ratio (WHR and Waist-To-Height Ratio (WHtR as predictors of cardiovascular disease risk factors in an adult population in Singapore.

    Directory of Open Access Journals (Sweden)

    Benjamin Chih Chiang Lam

    Full Text Available Excess adiposity is associated with cardiovascular disease (CVD risk factors such as hypertension, diabetes mellitus and dyslipidemia. Amongst the various measures of adiposity, the best one to help predict these risk factors remains contentious. A novel index of adiposity, the Body Adiposity Index (BAI was proposed in 2011, and has not been extensively studied in all populations. Therefore, the purpose of this study is to compare the relationship between Body Mass Index (BMI, Waist Circumference (WC, Waist-to-Hip Ratio (WHR, Waist-to-Height Ratio (WHtR, Body Adiposity Index (BAI and CVD risk factors in the local adult population.This is a cross sectional study involving 1,891 subjects (Chinese 59.1% Malay 22.2%, Indian 18.7%, aged 21-74 years, based on an employee health screening (2012 undertaken at a hospital in Singapore. Anthropometric indices and CVD risk factor variables were measured, and Spearman correlation, Receiver Operating Characteristic (ROC curves and multiple logistic regressions were used. BAI consistently had the lower correlation, area under ROC and odd ratio values when compared with BMI, WC and WHtR, although differences were often small with overlapping 95% confidence intervals. After adjusting for BMI, BAI did not further increase the odds of CVD risk factors, unlike WC and WHtR (for all except hypertension and low high density lipoprotein cholesterol. When subjects with the various CVD risk factors were grouped according to established cut-offs, a BMI of ≥23.0 kg/m2 and/or WHtR ≥0.5 identified the highest proportion for all the CVD risk factors in both genders, even higher than a combination of BMI and WC.BAI may function as a measure of overall adiposity but it is unlikely to be better than BMI. A combination of BMI and WHtR could have the best clinical utility in identifying patients with CVD risk factors in an adult population in Singapore.

  18. 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...

  19. Relationship Between Glycated Haemoglobin and Body Mass Index ...

    African Journals Online (AJOL)

    Blood pressure, Height, Weight were all measured and body mass index (BMI) calculated as weight (in kilograms) divided by height (in meters squared). Glycated haemoglobin was estimated using the ion exchange chromatography method. Result: A total of 100 healthy subjects, 50 males and 50 females, ages ranging ...

  20. BMI and Body Fat Mass Is Inversely Associated with Vitamin D Levels in Older Individuals

    NARCIS (Netherlands)

    Oliai Araghi, S.; van Dijk, S. C.; Ham, A. C.; Brouwer-Brolsma, E. M.; Enneman, A. W.; Sohl, E.; Swart, K. M. A.; van der Zwaluw, N. L.; van Wijngaarden, J. P.; Dhonukshe-Rutten, R. A. M.; van Schoor, N. M.; Zillikens, M. C.; Lips, P.; de Groot, L.; Uitterlinden, A. G.; van der Velde, N.

    2015-01-01

    To assess the association between obesity (measured by Body Mass Index (BMI) and fat percentage) and serum 25(OH)D levels in older persons. Cross-sectional analysis of data from 'the B-PROOF study' (B-vitamins for the Prevention Of Osteoporotic Fractures). 2842 participants aged 65 years and older.

  1. 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...... a positive association between GI, GL, and BMI. Energy adjustment and the exclusion of LERs significantly affected the results of the analysis; thus, we stress the importance of energy adjustment....

  2. High body mass index and cancer risk

    DEFF Research Database (Denmark)

    Benn, Marianne; Tybjærg-Hansen, Anne; Smith, George Davey

    2016-01-01

    of follow-up (range 0-37), 8002 developed non-skin cancer, 3347 non-melanoma skin cancer, 1396 lung cancer, 637 other smoking related cancers, 1203 colon cancer, 159 kidney cancer, 1402 breast cancer, 1062 prostate cancer, and 2804 other cancers. Participants were genotyped for five genetic variants...... with a BMI ≥ 30 versus 18.5-24.9 kg/m(2). Corresponding risk of breast cancer was 20 % (0-44 %) higher in postmenopausal women. BMI was not associated with risk of colon, kidney, other smoking related cancers, prostate cancer, or other cancers. In genetic analyses, carrying 7-10 versus 0-4 BMI increasing......High body mass index (BMI) has been associated with increased risk of some cancer. Whether these reflect causal associations is unknown. We examined this issue. Using a Mendelian randomisation approach, we studied 108,812 individuals from the general population. During a median of 4.7 years...

  3. Accuracy of Body Mass Index-defined Obesity Status in US Firefighters

    OpenAIRE

    Jitnarin, Nattinee; Poston, Walker S.C.; Haddock, Christopher K.; Jahnke, Sara A.; Day, Rena S.

    2014-01-01

    Obesity is a significant problem affecting United States (US) firefighters. While body mass index (BMI) is widely used to diagnose obesity, its use for this occupational group has raised concerns about validity. We examined rates and types of misclassification of BMI-based obesity status compared to body fat percentage (BF%) and waist circumference (WC). Male career firefighters (N = 994) from 20 US departments completed all three body composition assessments. Mean BMI, BF%, and WC were 29 kg...

  4. The association between body mass index and academic performance

    OpenAIRE

    Khaled A. Alswat; Abdullah D. Al-Shehri; Tariq A. Aljuaid; Bassam A. Alzaidi; Hassan D. Alasmari

    2017-01-01

    Objectives: To examine the relation between body mass index (BMI) and the academic performance of students from Taif city, Kingdom of Saudi Arabia (KSA) using the grade point average (GPA). Method: A cross-sectional study that includes students from intermediate and high schools located in Taif city, KSA between April 2014 and June 2015. Height and weight were measured and BMI calculated. Related risk factors including dietary habits, activity, parent’s education, sleeping pattern, and sm...

  5. The association between body mass index and academic performance

    OpenAIRE

    Alswat, Khaled A.; Al-shehri, Abdullah D.; Aljuaid, Tariq A.; Alzaidi, Bassam A.; Alasmari, Hassan D.

    2017-01-01

    Objectives: To examine the relation between body mass index (BMI) and the academic performance of students from Taif city, Kingdom of Saudi Arabia (KSA) using the grade point average (GPA). Method: A cross-sectional study that includes students from intermediate and high schools located in Taif city, KSA between April 2014 and June 2015. Height and weight were measured and BMI calculated. Related risk factors including dietary habits, activity, parent?s education, sleeping pattern, and smokin...

  6. [Impact of pre-pregnancy body mass index on baby's physical growth and nutritional status].

    Science.gov (United States)

    Li, Hongyan; Tan, Shan; Gao, Xiao; Xiang, Shiting; Zhang, Li; Huang, Li; Xiong, Changhui; Yan, Qiang; Lin, Ling; Li, Dimin; Yi, Juan; Yan, Yan

    2015-04-01

    To explore the impact of pre-pregnancy body mass index on baby's physical growth and nutritional status. A total of 491 pairs of mother-infant were divided into 3 groups according to mother's pre-pregnancy body mass index (BMI): a pre-pregnancy low BMI group (BMIpregnancy normal BMI group (18.5 kg/m² ≤ BMIpregnancy high BMI group (BMI ≥ 24.0 kg/m², n=72). Analysis of variance of repeated measurement data and the median percentage methods were used to compare the physical growth and nutritional status of babies in different groups. Baby's weight in the high BMI group were higher than that in the normal BMI and the low BMI group (F=3.958, P=0.020). The incidence of malnutrition in the low BMI group showed a tendency to decline along with the months (χ²=5.611, P=0.018), the incidence of overweight and obesity in the high and the normal BMI groups displayed a tendency to decline along with the months (χ²=18.773, 53.248, all PPregnancy BMI was correlated with the growth of baby. Too high or too low prepregnancy BMI exerts harmful effect on baby's weight and nutritional status. Medical workers should strengthen the education on women's pre-pregnancy to remind them keeping BMI at normal level.

  7. Maternal Body Mass Index during Pregnancy and Offspring Neurocognitive Development.

    Science.gov (United States)

    Craig, Wendy Y; Palomaki, Glenn E; Neveux, Louis M; Haddow, James E

    2013-03-01

    This hypothesis generating study explores second trimester maternal body mass index (BMI) during pregnancy and offspring neurocognitive development. Mothers and offspring served as controls in two earlier studies: 101 children at age two years and 118 children at age eight years. Frequency of maternal BMI ≥30 kg/m 2 increased from 10% in 1987-1990 to 30% in 2004-2006 ( P language scores and BMI ( P = 0.054). Among eight-year-olds, one or more WISC-III (Wechsler Intelligence Scale for Children, 3rd edition) scores children's neurocognitive development. Further study is indicated.

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

    DEFF Research Database (Denmark)

    Qi, Qibin; Kilpeläinen, Tuomas O; 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...

  9. Genetically Predicted Body Mass Index and Breast Cancer Risk

    DEFF Research Database (Denmark)

    Guo, Yan; Warren Andersen, Shaneda; Shu, Xiao-Ou

    2016-01-01

    BACKGROUND: Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or enviro...

  10. Relationship Between Socioeconomic Status and Body Mass Index ...

    African Journals Online (AJOL)

    There is a long tradition of observational studies from developed societies linking overweight and obesity to low socioeconomic status (SES). The aim of this study is to assess the relationship between SES and obesity and determine whether variations in the body mass index (BMI) of adult Nigerians is influenced by their ...

  11. Fat mass index performs best in monitoring management of obesity in prepubertal children.

    Science.gov (United States)

    Pereira-da-Silva, Luís; Dias, Mónica Pitta-Grós; Dionísio, Elisabete; Virella, Daniel; Alves, Marta; Diamantino, Catarina; Alonso, Anabela; Cordeiro-Ferreira, Gonçalo

    2016-01-01

    An early and accurate recognition of success in treating obesity may increase the compliance of obese children and their families to intervention programs. This observational, prospective study aimed to evaluate the ability and the time to detect a significant reduction of adiposity estimated by body mass index (BMI), percentage of fat mass (%FM), and fat mass index (FMI) during weight management in prepubertal obese children. In a cohort of 60 prepubertal obese children aged 3-9 years included in an outpatient weight management program, BMI, %FM, and FMI were monitored monthly; the last two measurements were assessed using air displacement plethysmography. The outcome measures were the reduction of >5% of each indicator and the time to achieve it. The rate of detection of the outcome was 33.3% (95% CI: 25.9-41.6) using BMI, significantly lower (pchildren. Copyright © 2016 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.

  12. [Body mass index and tri-ponderal mass index of 1,453 healthy non-obese, non-undernourished millennial children. The Barcelona longitudinal growth study].

    Science.gov (United States)

    Carrascosa, Antonio; Yeste, Diego; Moreno-Galdó, Antonio; Gussinyé, Miquel; Ferrández, Ángel; Clemente, María; Fernández-Cancio, Mónica

    2018-02-22

    Body mass index-for age (BMI) and tri-ponderal mass index-for-age (TMI) values of healthy non-underweight, non-obese millennial children have not been reported until now. We aimed to obtain these values. Longitudinal growth study (1995-2017) of 1,453 healthy non-underweight, non-obese millennial children, from birth (n = 477) or from 4 years of age (n = 976) to 18 years in girls and 19 years in boys (25,851 anthropometric measurements). In each sex, mean BMI-for-age values increased from birth to one year, declined until 5and increased from then onwards. Mean TMI-for-age values decreased abruptly during the first 6years of age and slowly thereafter, in both sexes. Although, at some ages, mean BMI-for age values differed statistically between sexes, differences were scant and of poor clinical significance. The same occurred for TMI-for-age values. BMI-for-age cut-off values to define underweight status (-2 SD) were similar to those proposed by Cole and the WHO for both sexes. However, BMI-for-age cut-off values to define obesity (+2 SD) were lower in both sexes (1.0-5.3) than those proposed by Cole and similar to those proposed by the WHO until 12 in girls and 14 in boys and lower (1.0-4.8) from these ages onwards. BMI-for-age and TMI-for-age values of healthy non-underweight, non-obese millennial children are provided. No clinically relevant differences were observed between sexes. These values may be used to measure underweight status and obesity in present pediatric populations and to evaluate the relationship between BMI-for-age and TMI-for-age in a clinical setting. Copyright © 2018. Publicado por Elsevier España, S.L.U.

  13. 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....

  14. Modifiable environmental influences on body mass index shared by young adult brothers

    DEFF Research Database (Denmark)

    Rokholm, B; Silventoinen, K; Tynelius, P

    2013-01-01

    Twin and adoption studies suggest that family environment has little, if any, influence on body mass index (BMI) in adulthood. We investigated the hypothesis that the differences in the years of birth between siblings influence their similarity in BMI at comparable ages, which would give evidence...... for a possibly modifiable influence of the environment shared by family members....

  15. No association between striatal dopamine transporter binding and body mass index

    DEFF Research Database (Denmark)

    van de Giessen, Elsmarieke; Hesse, Swen; Caan, Matthan W A

    2013-01-01

    Dopamine is one among several neurotransmitters that regulate food intake and overeating. Thus, it has been linked to the pathophysiology of obesity and high body mass index (BMI). Striatal dopamine D(2) receptor availability is lower in obesity and there are indications that striatal dopamine...... transporter (DAT) availability is also decreased. In this study, we tested whether BMI and striatal DAT availability are associated....

  16. Effect of body mass index and fat mass on balance force platform measurements during a one-legged stance in older adults.

    Science.gov (United States)

    Pereira, Camila; Silva, Rubens A da; de Oliveira, Marcio R; Souza, Rejane D N; Borges, Renata J; Vieira, Edgar R

    2018-05-01

    The purpose of this study was to evaluate the impact of body mass index (BMI) and fat mass on balance force platform measurements in older adults. The sample consisted of 257 participants who were stratified into four groups by BMI: low weight, normal weight, pre-obesity and obesity. For fat mass variables, older individuals were classified into low and high-fat mass. All groups investigated performed three trials of one-legged stance balance on a force platform. Center of pressure (COP) domain parameters were computed from the mean across trials. Analysis of variance results revealed no significant interactions for groups and sexes for all COP parameters. Comparable balance results were found for BMI and fat groups for all COP parameters. A statistical effect (P < 0.05) was only reported for sex differences for COP parameters, regardless of BMI and fat mass variables. Overall, women presented better balance than men. In conclusion, BMI and fat mass do not seem to influence the balance of older adults during a one-leg stance task.

  17. Body mass index in male and female children with pervasive developmental disorders

    DEFF Research Database (Denmark)

    Mouridsen, S.E.; Rich, B.; Isager, Torben

    2008-01-01

    Background: The aim of the present study was to evaluate body mass index (BMI) of children with a pervasive developmental disorder (PDD) attending two university clinics during the 1960-84 period. Methods: BMI derived from medical records of 83 consecutively admitted children with atypical autism...... and 115 children with Asperger syndrome were compared with the corresponding BMI percentiles in an age- and sex-matched reference population. Results: The BMI distribution of the boys, but not the girls, in both diagnostic categories was significantly lower than those of the age-matched reference...

  18. Effect of Body Mass Index on Exercise Capacity in Patients With Hypertrophic Cardiomyopathy.

    Science.gov (United States)

    Larsen, Carolyn M; Ball, Caroline A; Hebl, Virginia B; Ong, Kevin C; Siontis, Konstantinos C; Olson, Thomas P; Ackerman, Michael J; Ommen, Steve R; Allison, Thomas G; Geske, Jeffrey B

    2018-01-01

    The objective of this study was to evaluate the relation between body mass index (BMI), exercise capacity, and symptoms in patients with hypertrophic cardiomyopathy (HC) and to utilize results of cardiopulmonary exercise tests (CPX) and transthoracic echocardiograms to understand the mechanism(s) of reduced exercise capacity across body mass index groups. Over a 6-year period, 510 consecutive patients with HC seen at a tertiary referral center underwent (CPX) and a transthoracic echocardiogram. Increasing BMI was associated with decreased exercise capacity as assessed by peak VO 2 (ml/kg/min). However, the prevalence of cardiac impairment did not vary by BMI group. In conclusion, these findings suggest that in some patients with hypertrophic cardiomyopathy, cardiac impairment is not the primary cause of exercise limitation and weight loss may result in improved exercise capacity. Copyright © 2017 Elsevier Inc. All rights reserved.

  19. Summer effects on body mass index (BMI gain and growth patterns of American Indian children from kindergarten to first grade: a prospective study

    Directory of Open Access Journals (Sweden)

    Zhang Jianduan

    2011-12-01

    Full Text Available Abstract Background Overweight and obesity are highly prevalent among American Indian children, especially those living on reservations. There is little scientific evidence about the effects of summer vacation on obesity development in children. The purpose of this study was to investigate the effects of summer vacation between kindergarten and first grade on growth in height, weight, and body mass index (BMI for a sample of American Indian children. Methods Children had their height and weight measured in four rounds of data collection (yielded three intervals: kindergarten, summer vacation, and first grade as part of a school-based obesity prevention trial (Bright Start in a Northern Plains Indian Reservation. Demographic variables were collected at baseline from parent surveys. Growth velocities (Z-score units/year for BMI, weight, and height were estimated and compared for each interval using generalized linear mixed models. Results The children were taller and heavier than median of same age counterparts. Height Z-scores were positively associated with increasing weight status category. The mean weight velocity during summer was significantly less than during the school year. More rapid growth velocity in height during summer than during school year was observed. Obese children gained less adjusted-BMI in the first grade after gaining more than their counterparts during the previous two intervals. No statistically significant interval effects were found for height and BMI velocities. Conclusions There was no indication of a significant summer effect on children's BMI. Rather than seasonal or school-related patterns, the predominant pattern indicated by weight-Z and BMI-Z velocities might be related to age or maturation. Trial registration Bright Start: Obesity Prevention in American Indian Children Clinical Trial Govt ID# NCT00123032

  20. [Estimation of the population attributable fraction due to obesity in hospital admissions for flu valued according to Body Mass Index (BMI) and CUN-BAE].

    Science.gov (United States)

    Dávila-Batista, V; Carriedo, D; Díez, F; Pueyo Bastida, A; Martínez Durán, B; Martin, V

    2018-03-01

    The obesity pandemic together with the influenza pandemic could lead to a significant burden of disease. The body mass index (BMI) does not discriminate obesity appropriately. The CUN-BAE has recently been used as an estimate of body fatness for Caucasians, including BMI, gender, and age. The aim of this study is to assess the population attributable fraction of hospital admissions due to influenza, due to the body fatness measured with the BMI, and the CUN-BAE. A multicentre study was conducted using matched case-controls. Cases were hospital admissions with the influenza confirmed by the RT-PCR method between 2009 and 2011. The risk of hospital admission and the population attribuible fraction were calculated using the BMI or the CUN-BAE for each adiposity category in a conditional logical regression analysis adjusted for confounding variables. The analyzes were estimated in the total sample, in unvaccinated people, and those less than 65 years-old. A total of 472 hospitalised cases and 493 controls were included in the study. Compared to normal weight, the aOR of influenza hospital admissions increases with each level of BMI (aOR=1.26; 2.06 and 11.64) and CUN-BAE (aOR=2.78; 4.29; 5.43 and 15.18). The population attributable fraction of influenza admissions using CUN-BAE is 3 times higher than that estimated with BMI (0,72 vs. 0,27), with the differences found being similar the non-vaccinated and under 65 year-olds. The BMI could be underestimating the burden of disease attributable to obesity in individuals hospitalised with influenza. There needs to be an appropriate assessment of the impact of obesity and vaccine recommendation criteria. Copyright © 2017 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España, S.L.U. All rights reserved.

  1. Contemporary labor patterns: the impact of maternal body mass index.

    Science.gov (United States)

    Kominiarek, Michelle A; Zhang, Jun; Vanveldhuisen, Paul; Troendle, James; Beaver, Julie; Hibbard, Judith U

    2011-09-01

    We sought to compare labor patterns by body mass index (BMI). A total of 118,978 gravidas with a singleton term cephalic gestation were studied. Repeated-measures analysis constructed mean labor curves by parity and BMI categories for those who reached 10 cm. Interval-censored regression analysis determined median traverse times, adjusting for covariates in vaginal deliveries and intrapartum cesareans. In the labor curves, the time difference to reach 10 cm was 1.2 hours from the lowest to highest BMI category for nulliparas. Multiparas entered active phase by 6 cm, but reaching this point took longer for BMI ≥40.0 (3.4 hours) compared to BMI .05) but decreased as BMI increased for multiparas (P < .001). Labor proceeds more slowly as BMI increases, suggesting that labor management be altered to allow longer time for these differences. Copyright © 2011 Mosby, Inc. All rights reserved.

  2. Differences in Dietary Patterns among College Students According to Body Mass Index

    Science.gov (United States)

    Brunt, Ardith; Rhee, Yeong; Zhong, Li

    2008-01-01

    Objective and Participants: The authors surveyed 557 undergraduate students aged 18-56 years to assess weight status, health behaviors, and dietary variety. Methods: They used body mass index (BMI) to divide students into 4 weight categories: underweight (BMI less than 19 kg/m2), healthy weight (19 kg/m2 to 24.99 kg/m2), overweight (25 kg/m2 to…

  3. Body mass index, weight gain during pregnancy and obstetric ...

    African Journals Online (AJOL)

    Objectives: To find out the effects of pregnancy weight gain in different body mass index (BMI) groups on maternal and neonatal outcomes in women delivering singletons at term. Design: Retrospective analysis of clinical records of patients attending antenatal clinics and delivering in hospital from January 1st 1992 to ...

  4. Is neighbourhood obesogenicity associated with body mass index in women? Application of an obesogenicity index in socioeconomically disadvantaged neighbourhoods.

    Science.gov (United States)

    Tseng, Marilyn; Thornton, Lukar E; Lamb, Karen E; Ball, Kylie; Crawford, David

    2014-11-01

    An aggregate index is potentially useful to represent neighbourhood obesogenicity. We created a conceptually-based obesogenicity index and examined its association with body mass index (BMI) among 3786 women (age 18-45y) in socio-economically disadvantaged neighbourhoods in Victoria, Australia. The index included 3 items from each of 3 domains: food resources (supermarkets, green grocers, fast food restaurants), recreational activity resources (gyms, pools, park space), and walkability (4+ leg intersections, neighbourhood walking environment, neighbourhood safety), with a possible range from 0 to 18 reflecting 0-2 for each of the 9 items. Using generalised estimating equations, neighbourhood obesogenicity was not associated with BMI in the overall sample. However, stratified analyses revealed generally positive associations with BMI in urban areas and inverse associations in rural areas (interaction p=0.02). These analyses are a first step towards combining neighbourhood characteristics into an aggregate obesogenicity index that is transparent enough to be adopted elsewhere and to allow examination of the relevance of its specific components in different settings. Copyright © 2014 Elsevier Ltd. All rights reserved.

  5. Whole-grain consumption, dietary fibre intake and body mass index in the Netherlands cohort study

    NARCIS (Netherlands)

    Vijver, L.P.L. van de; Bosch, L.M.C. van den; Brandt, P.A. van den; Goldbohm, R.A.

    2009-01-01

    Objectives: To assess the association of whole-grain and (cereal) fibre intake with body mass index (BMI) and with the risk of being overweight (BMI ≥ 25) or obese (BMI ≥ 30 kg m-2). Subjects: A total of 2078 men and 2159 women, aged 55-69 years, were included in the analysis, after exclusion of

  6. The social gradient in birthweight at term: quantification of the mediating role of maternal smoking and body mass index

    DEFF Research Database (Denmark)

    Mortensen, Laust H; Diderichsen, Finn; Smith, George Davey

    2009-01-01

    Maternal education is associated with the birthweight of offspring. We sought to quantify the role of maternal body mass index (BMI) and smoking as intermediary variables between maternal education and birthweight at term.......Maternal education is associated with the birthweight of offspring. We sought to quantify the role of maternal body mass index (BMI) and smoking as intermediary variables between maternal education and birthweight at term....

  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 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.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.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 Mass Index and Body Composition with Deuterium in Costa Rican Children

    International Nuclear Information System (INIS)

    Quintana-Guzmán, E.; Salas-Chaves, M. D. P.

    2015-01-01

    Body Mass Index (BMI) has been adopted as international measure for measuring adiposity in children with the disadvantage that it varies with age, sex and sexual maturation with no differentiation between fat mass and mass free of grease. The analysis of body composition allow to know if the overweight is due to fatty tissue being the deuterium isotope dilution a validated reference method using Infrared Spectrometry Transformed of Fourier (FTIR). We studied a total 118 boys and girls from 6 to 9 years old getting the values of z score of BMI for age and percentage of fat mass by FTIR. The results obtained in this study demonstrated that Costa Rica does not escape to the global problem of childhood obesity founding by BMI 18.6% of overweight and 10% of obesity and by body composition 9% of overweight and 57% of obesity. Isotopic deuterium dilution method demonstrated in this study to be more suitable for the analysis of obesity and overweight in children since BMI presented false positive and false negative results giving less accurate information of adiposity of the subject. (author)

  9. Weight Management Guides for Pregnant Women with a Body Mass index (BMI) Greater than or Equal to 40kg/m[Superscript 2]: A Qualitative Exploration of Their Use in Maternity Care

    Science.gov (United States)

    Smith, Debbie M.; Ward, Christine; Forbes, Shareen; Reynolds, Rebecca M.; Denison, Fiona C.

    2013-01-01

    Objective: Maternal obesity (Body Mass Index [BMI] greater than or equal to 30kg/m([superscript 2]) is associated with numerous maternal and fetal complications. Recent guidelines have called for advice to be given to women as pregnancy is a good time for intervention as due to women's motivations for change being high and changes may impact on…

  10. 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 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.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.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.BAI is inferior to the widely used BMI as a correlate of the cardiometabolic risk factors studied. Additionally, BMI's relationship with total adiposity

  11. 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.......Morphometry, the measurement of forms, is an ancient practice. Recently, evidence has grown to support the notion that aberrant neurodevelopment may play a role in the pathophysiology of autism. Is the body, like the brain, affected by abnormal development in these patients? The aim of this study...

  12. Temporal divergence of percent body fat and body mass index in pre-teenage children: the LOOK longitudinal study.

    Science.gov (United States)

    Telford, R D; Cunningham, R B; Abhayaratna, W P

    2014-12-01

    The index of body mass related to stature, (body mass index, BMI, kgm(-2) ), is widely used as a proxy for percent body fat (%BF) in cross-sectional and longitudinal investigations. BMI does not distinguish between lean and fat mass and in children, the cross-sectional relationship between %BF and BMI changes with age and sex. While BMI increases linearly with age from age 8 to 12 years in both boys and girls, %BF plateaus off between 10 and 12 years. Repeated measures in children show a systematic decrease in %BF for any given BMI from age 8 to 10 to 12 years. Because changes in BMI misrepresent changes in %BF, its use as a proxy of %BF should be avoided in longitudinal studies in this age group. Body mass index (BMI, kgm(-2) ) is commonly used as an indicator of pediatric adiposity, but with its inability to distinguish changes in lean and fat mass, its use in longitudinal studies of children requires careful consideration. To investigate the suitability of BMI as a surrogate of percent body fat (%BF) in pediatric longitudinal investigations. In this longitudinal study, healthy Australian children (256 girls and 278 boys) were measured at ages 8.0 (standard deviation 0.3), 10.0 and 12.0 years for height, weight and percent body fat (%BF) by dual-energy X-ray absorptiometry. The patterns of change in the means of %BF and BMI were different (P < 0.001). While mean BMI increased linearly from 8 to 12 years of age, %BF did not change between 10 and 12 years. Relationships between %BF and BMI in boys and girls were curvilinear and varied with age (P < 0.001) and gender (P < 0.001); any given BMI corresponding with a lower %BF as a child became older. Considering the divergence of temporal patterns of %BF and BMI between 10 and 12 years of age, employment of BMI as a proxy for %BF in absolute or age and sex standardized forms in pediatric longitudinal investigations is problematical. © 2013 The Authors. Pediatric Obesity © 2013 International Association

  13. Influence of Body Mass Index on Tumor Pathology and Survival in Uterine Cancer

    DEFF Research Database (Denmark)

    Bjerrum Kristensen, Anne; Hare-Bruun, Helle; Høgdall, Claus Kim

    2017-01-01

    OBJECTIVE: To evaluate the influence of body mass index (BMI) on endometrial tumor pathology, stage and complication rate and to identify individual prognostic factors, such as BMI, in types I and II endometrial cancer. DESIGN: Register study included all Danish women who underwent surgery...... I and II endometrial cancer were retrieved. Kaplan-Meier plot was used to illustrate differences in survival in relation to BMI. Log-rank test was used to demonstrate difference between the curves. Cox regression hazard model was used to estimate hazard ratios (HR) of the effect of BMI on overall...

  14. Association between impulsivity, reward responsiveness and body mass index in children

    NARCIS (Netherlands)

    Van den Berg, L.; Pieterse, K.; Malik, J.A.; Luman, M.; Willems van Dijk, K.; Oosterlaan, J.; Delemarre-van de Waal, H.A.

    2011-01-01

    Background:Childhood obesity is a major health problem. An association between children's body mass index (BMI) and overeating has been established, but mechanisms leading to overeating are poorly understood. The personality characteristics impulsivity and reward responsiveness may be involved in

  15. The Relationship between Fundamental Movement Skills and Body Mass Index in Korean Preschool Children

    Science.gov (United States)

    Kim, Chung-Il; Lee, Kang-Yi

    2016-01-01

    Early childhood obesity is a serious worldwide problem, and fundamental movement skills (FMS) are very important factors in human movement. Thus, several advanced studies have examined the associations between FMS and body mass index (BMI). The purpose of this study was to investigate BMI and FMS (locomotion and object control skills) in Korean…

  16. Pilates versus resistance exercise on the serum levels of hs-CRP, in the abdominal circumference and body mass index (BMI in elderly individuals

    Directory of Open Access Journals (Sweden)

    Maria Adesilda Silva Pestana

    2016-06-01

    Full Text Available Recent studies have shown that the elderly exhibit a subclinical state of inflammation associated with increased adipose tissue and several comorbidities. To compare the effects of mat Pilates based exercises and resistance exercise on the serum levels of reactive C protein of high sensitivity (hs-CRP, in the abdominal circumference (AC and the body mass index (BMI in the elderly. It is a randomised clinical trial with a sample of 78 elderly individuals (median age 69 years. The active independent variable investigated was nature of treatment intervention (Pilates mat based exercises vs resistance exercise, and the dependent variables were hs-CRP level, AC and BMI. The statistical analysis used Wilcoxon signed rank and Mann-Whitney tests. The correlation between the continuous variables was assessed using Spearman’s coefficient of correlation. The data were analysed using SPSS software version 17.0, and probability values lower than 5% (p< 0.05 were considered statistically significant. Mat Pilates based exercises exhibited reductions in serum hs-CPR level (Wilcoxon signed rank test; z = -2.466, p = 0.01, BMI (Wilcoxon signed rank test; z = -3.295, p = 0.001 and AC (Wilcoxon signed rank test; z = -3.398, p = 0.01. Mat Pilates based exercises promoted a significant reduction of the serum hs-CRP levels and anthropometric measurements in elderly individuals.

  17. 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) ...

  18. Food consumption, body mass index and risk for oral health in adolescents.

    Science.gov (United States)

    Bica, Isabel; Cunha, Madalena; Reis, Margarida; Costa, José; Costa, Patricia; Bica, Alexandra

    2014-11-01

    The food intake has great influence on the oral health of adolescents, being relevant to analyze the type of food consumed by adolescents and their relationship with the DMFT index (decayed, missing and filled), the plaque index (PI) and the body mass index (BMI). Epidemiological study conducted in public schools of the 3rd cycle of basic education, central Portugal. The sociodemographic and dietary habits and frequency characterization was obtained through a self-administered questionnaire completed by adolescents and validated for the population under study. The DMFT index was evaluated according to WHO criteria, oral hygiene was evaluated based on the plaque index and BMI through weight and height in adolescents. Random sample by clusters (schools) with 661 adolescents, 84.1% female and 15.9% male. Adolescents with mean age 13.22 years (± 1.139). The mean DMFT was 2.23 (± 2.484), the prevalence of PI was 96.4%, and ≥ 5 BMI cariogenic foods (r=0.160; P=.000). Adolescents with a higher BMI consume less cariogenic foods (r=-0.1343; P=.001). The value of t reveals that the consumption of cariogenic foods explains 1.8% of the variance of the BMI and 2.6% DMFT. The cariogenic foods are presented as a risk factor for dental caries. The results suggest that it is important to develop up actions for health education. Copyright © 2014 Elsevier España, S.L.U. All rights reserved.

  19. 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...

  20. Physical activity, body mass index and blood pressure in primary ...

    African Journals Online (AJOL)

    Background: Lack of physical activity contributes to overweight and obesity. It is recommended that children accumulate at least one hour of moderate to vigorous intensity physical activity daily. Objective: The level of physical activity, body mass index (BMI) and blood pressure (BP) were evaluated in pupils attending private ...

  1. Breakfast size is related to body mass index for men, but not women.

    Science.gov (United States)

    Kent, Lillian M; Worsley, Anthony

    2010-04-01

    The objective of this study was to examine the effect of self-reported breakfast size, daily eating, and other health habits on body mass index (BMI). We hypothesized that a consumption of a substantial breakfast compared with skipping or small breakfasts would be associated with lower BMI. Three independent, cross-sectional, screening surveys were conducted by Sydney Adventist Hospital in 1976, 1986, and 2005 in the surrounding community. The archived survey forms of 384 men and 338 women in 1976, 244 men and 229 women in 1986, and 270 men and 62 women in 2005 were randomly selected. Body mass index was determined from height and weight measured by hospital staff. The reported amount consumed at breakfast was one of several eating habits that predicted BMI for men but not women. It explained 5% to 6% of the variance in male BMI in all 3 years examined. As the reported breakfast amount increased, men's BMI decreased. Lifestyle confounders including vegetarianism and physical activity did not affect this relationship. However, the consumption of breakfast was significantly positively associated with consumption of cereals, bread, fruit, and spreads, while coffee consumption was significantly associated with smaller breakfasts or breakfast skipping. The consumption of relatively large breakfasts may influence BMI in men, and its promotion may help reduce the prevalence of obesity in Australia and elsewhere. Copyright 2010 Elsevier Inc. All rights reserved.

  2. Body Mass Index in Different Dementia Disorders: Results from the Swedish Dementia Quality Registry (SveDem

    Directory of Open Access Journals (Sweden)

    Gerd Faxén-Irving

    2014-04-01

    Full Text Available Background: Most patients with dementia lose body weight over the course of the disease and have a lower body mass index (BMI than subjects with normal cognition. Aims: To examine body mass index and how it correlates with cognitive status, age and gender in patients with different dementia disorders. Materials and Methods: Data from newly diagnosed dementia patients in the Swedish Dementia Quality Registry (SveDem and recorded information about age, gender, cognitive status and BMI was analyzed using independent samples t tests and one-way analysis of variance. Results: A total of 12,015 patients, 7,121 females and 4,894 males were included in the study. The average BMI was 24. More than a quarter of the patients had a BMI of Conclusion: At the time of diagnosis, patients with various dementia disorders had a BMI within the normal range. However, a significant number had a BMI in a lower, suboptimal range for older persons stressing the need for nutritional assessment as part of the dementia work up. Further analyses with longitudinal follow-up are needed to investigate BMI changes over time.

  3. Association between Enuresis and Body Mass Index in Schoolchildren

    Directory of Open Access Journals (Sweden)

    Tahereh Boryri

    2016-12-01

    Full Text Available BackgroundAutomatic release of urine at any time of a day during sleep beyond the age of five years defined enuresis as a health disorders in children. The etiology of enuresis is still not clearly understood. Body Mass Index (BMI is an indicator to evaluate the growth trend of individuals in a population for any specific age group. Evaluation of obesity in children is important and provides an opportunity to identify the problem and prevent disease progression. The purpose of this study was to determine the prevalence of enuresis and the association with BMI.Materials and MethodsThe study was a cross-sectional survey based on specific age group population to determine the prevalence of enuresis conducted on the schoolchildren in Zahedan, Iran during December 2015 and February 2016. A random, multistage sample of 2,000 students was taken from fifty schools in five districts of Zahedan city and filled out some easy questions such as age and gender along with measuring weight and height. Body Mass Index categorized after calculation accordance with the formulae of BMI= Height (kg / Weight (m 2. The classification of BMI was accordance with  percentiles  of  underweight in less than the 5th percentile, healthy level from the 5th to less than 85th percentile, overweight from the 85th to less than the 97th percentile and obese equal to or greater than the 97th percentile.ResultsThe prevalence of enuresis was 17.18% for boys and 11.82% for girls, and the overall prevalence was 140 in 1000. Enuresis and non- enuresis population were different in mean of BMI (15.51±3.92 versus 17.69±5.11, so that this differential were statistically significant (P

  4. Leptin expression in breast nipple aspirate fluid (NAF) and serum is influenced by body mass index (BMI) but not by the presence of breast cancer.

    Science.gov (United States)

    Sauter, E R; Garofalo, C; Hewett, J; Hewett, J E; Morelli, C; Surmacz, E

    2004-05-01

    While obesity is a known risk factor for postmenopausal breast cancer, the molecular mechanisms involved are unclear. Systemic levels of leptin, the product of the ob (obesity) gene, are increased in obese individuals (body mass index, BMI, over 25) and are higher in women than men. Leptin has been found to stimulate the growth of breast cancer cells in vitro. Our goal was to determine whether leptin was 1) present in nipple aspirate fluid (NAF), and 2) whether NAF leptin levels were associated with a) levels in serum, b) obesity, and c) breast cancer. We collected and evaluated NAF specimens from 83 subjects and serum specimens from 49 subjects. NAF leptin was detectable in 16/41 (39 %) of premenopausal and 21/42 (50 %) postmenopausal subjects. NAF leptin was significantly lower (p = 0.042) in premenopausal than postmenopausal women with a BMI < 25, but not in those with a higher BMI. NAF leptin was significantly associated with BMI in premenopausal (p = 0.011) but not in postmenopausal women. Serum leptin was associated with BMI in both premenopausal and postmenopausal women (p = 0.0001 for both). NAF and serum leptin were associated in premenopausal (p = 0.02) but not postmenopausal women. Neither NAF nor serum leptin was associated with premenopausal or postmenopausal breast cancer. Our findings include that 1) leptin is present in the breast and detectable in a subset of NAF samples, 2) NAF leptin in premenopausal but not postmenopausal women parallels serum leptin levels, and 3) neither NAF nor serum levels of leptin were associated with premenopausal or postmenopausal breast cancer.

  5. Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects.

    Science.gov (United States)

    Zhang, Shujun; Du, Tingting; Li, Mengni; Jia, Jing; Lu, Huiming; Lin, Xuan; Yu, Xuefeng

    2017-06-01

    Nonalcoholic fatty liver disease (NAFLD) is an increasingly common condition that is highly correlated with obesity; however, it is not uncommon among nonobese individuals. Triglyceride (TG) and glucose index combined with body mass index (TyG-BMI) has been proposed as a favorable marker of insulin resistance. We sought to investigate the effectiveness of TyG-BMI in identifying NAFLD in nonobese subjects.We conducted a cross-sectional study in a nonobese (BMI glucose, for identifying nonobese subjects at risk for NAFLD.In this study, the prevalence of NAFLD was over one-fifth in the nonobese population. TyG-BMI was an effective marker to detect NAFLD in nonobese subjects.

  6. Associations between body mass index, ambulatory blood pressure findings, and changes in cardiac structure: relevance of pulse and nighttime pressures.

    NARCIS (Netherlands)

    Fedecostante, M.; Spannella, F.; Giulietti, F.; Espinosa, E.; Dessi-Fulgheri, P.; Sarzani, R.

    2015-01-01

    Ambulatory blood pressure monitoring (ABPM) is central in the management of hypertension. Factors related to BP, such as body mass index (BMI), may differently affect particular aspects of 24-hour ABPM profiles. However, the relevance of BMI, the most used index of adiposity, has been

  7. Urban sprawl and body mass index among displaced Hurricane Katrina survivors.

    Science.gov (United States)

    Arcaya, Mariana; James, Peter; Rhodes, Jean E; Waters, Mary C; Subramanian, S V

    2014-08-01

    Existing research suggests that walkable environments are protective against weight gain, while sprawling neighborhoods may pose health risks. Using prospective data on displaced Hurricane Katrina survivors, we provide the first natural experimental data on sprawl and body mass index (BMI). The analysis uses prospectively collected pre- (2003-2005) and post-hurricane (2006-2007) data from the Resilience in Survivors of Katrina (RISK) project on 280 displaced Hurricane Katrina survivors who had little control over their neighborhood placement immediately after the disaster. The county sprawl index, a standardized measure of built environment, was used to predict BMI at follow-up, adjusted for baseline BMI and sprawl; hurricane-related trauma; and demographic and economic characteristics. Respondents from 8 New Orleans-area counties were dispersed to 76 counties post-Katrina. Sprawl increased by an average of 1.5 standard deviations (30 points) on the county sprawl index. Each one point increase in sprawl was associated with approximately .05kg/m(2) higher BMI in unadjusted models (95%CI: .01-.08), and the relationship was not attenuated after covariate adjustment. We find a robust association between residence in a sprawling county and higher BMI unlikely to be caused by self-selection into neighborhoods, suggesting that the built environment may foster changes in weight. Copyright © 2014 Elsevier Inc. All rights reserved.

  8. Comparison of Lipid Accumulation Product Index with Body Mass Index and Waist Circumference as a Predictor of Metabolic Syndrome in Indian Population.

    Science.gov (United States)

    Ray, Lopamudra; Ravichandran, Kandasamy; Nanda, Sunil Kumar

    2018-06-01

    Metabolic syndrome (MetS), which confers a high risk for cardiovascular diseases, needs early diagnosis and treatment to reduce morbidity and mortality. Lipid accumulation product index has been reported to be an inexpensive marker of visceral fat and metabolic syndrome. This study aimed to evaluate lipid accumulation product index as a marker for metabolic syndrome in the Indian population where the prevalence of the condition is steadily increasing. A hospital-based, case-control study was conducted with 72 diagnosed cases of metabolic syndrome and 79 control subjects. In all the participants, body mass index (BMI) and lipid accumulation product index were calculated. The difference between cases and controls in BMI, waist circumference (WC), and lipid accumulation product index was assessed by Mann-Whitney U test/unpaired t-test. Associations of BMI, WC, and lipid accumulation product index with metabolic syndrome were compared by multiple logistic regression analysis and receiver operating characteristic analysis. BMI, WC, and lipid accumulation product index were significantly higher in metabolic syndrome (P product index had the highest prediction accuracy. The parameter also had a high area under curve of 0.901 (95% confidence interval 0.85-0.95) and a high sensitivity (76.4%), specificity (91.1%), positive predictive value (88.7%), and negative predictive value (80.9%) for detection of metabolic syndrome. In the Indian population, lipid accumulation product index is a better predictor of metabolic syndrome compared to BMI and WC and should be incorporated in laboratory reports as early, accurate, and inexpensive indicator of metabolic syndrome.

  9. An investigation into utilising gestational body mass index as a ...

    African Journals Online (AJOL)

    Objective: The aim of this study was to investigate the ability of the gestational body mass index (BMI) method to screen for adverse birth outcomes and maternal morbidities. Design: This was a substudy of a randomised controlled trial, the Philani Mentor Mothers' study. Setting and subjects: The Philani Mentor Mothers' ...

  10. Changes in body mass, stature and BMI in South African elite U18 Rugby players from different racial groups from 2002-2012.

    Science.gov (United States)

    Durandt, Justin; Green, Mervin; Masimla, Herman; Lambert, Mike

    2018-03-01

    The purpose of this study was to determine whether there are differences between racial groups for body mass, stature and body mass index (BMI) in South African elite U18 rugby players and whether there were significant changes in these measurements between 2002 and 2012. Self-reported body mass and stature were obtained from U18 players (n = 4007) who attended the national tournament during this period. BMI was calculated for each player.White players were 9.8 kg heavier than black players, who were 2.3 kg heavier than coloured players (P body mass of all groups increased from 2002 to 2012 (P body mass, stature and BMI of elite under-18 rugby players in South Africa were significantly different between racial groups. This has implications for transforming the game to make it representative of the South African population.

  11. Effects of body mass index on the outcomes of percutaneous nephrolithotomy

    Directory of Open Access Journals (Sweden)

    Cemal Selcuk Isoglu

    Full Text Available ABSTRACT Objective To examine the the effect of body mass index (BMI on PNL results and complications with a large number of patients. Materials and Methods A total of 958 patients were included in the study, who underwent percutaneous nephrolithotomy in our clinic between 2008 and 2015. Patients were divided into 2 groups according to their body mass index. Patients with a BMI < 30 kg/m2 were classified as group 1 (n:676 and patients with a BMI ≥ 30 kg/m2 were classified as group 2 (n:282. Achieving stone-free status or having residual stones of ≤ 4 mm were considered as operational success. Results The mean age was 47.9 years for group 1 and 48.9 years for group 2 patients. At postoperative first month CT analysis, residual stone was not observed in 466 patients (69% of group 1 and 20 (72% patients of group 2. There was no significant difference between the groups in terms of stone-free status (p=0.348. There was no significant difference between two groups complications. Also, there was no difference between the groups for requiring additional intervention (p=0.924. No other complications were observed in the patients. Conclusions BMI does not affect the outcomes of percutaneous nephrolithotomy as well as complication rate.

  12. Body mass index: different nutritional status according to WHO, OPAS and Lipschitz classifications in gastrointestinal cancer patients.

    Science.gov (United States)

    Barao, Katia; Forones, Nora Manoukian

    2012-01-01

    The body mass index (BMI) is the most common marker used on diagnoses of the nutritional status. The great advantage of this index is the easy way to measure, the low cost, the good correlation with the fat mass and the association to morbidity and mortality. To compare the BMI differences according to the WHO, OPAS and Lipschitz classification. A prospective study on 352 patients with esophageal, gastric or colorectal cancer was done. The BMI was calculated and analyzed by the classification of WHO, Lipschitz and OPAS. The mean age was 62.1 ± 12.4 years and 59% of them had more than 59 years. The BMI had not difference between the genders in patients cancer had more than 65 years. A different cut off must be used for this patients, because undernourished patients may be wrongly considered well nourished.

  13. 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.

  14. Relationship of Waist-Hip Ratio and Body Mass Index to Blood ...

    African Journals Online (AJOL)

    This study investigated the relationship between two anthropometric measurements for obesity – body mass index (BMI) and ... the physiological and metabolic functions of the body, ..... Norfolk cohort of the European prospective investigation into cancer and nutrition (EPIC-Norfolk) study. ... Annals of Epidemiology 3, pp.35-.

  15. Relationship of Physical Activity Facilitators and Body Mass Index in Kashan Elderly

    Directory of Open Access Journals (Sweden)

    Zahra Khalili

    2015-12-01

    Full Text Available Introduction: There are many factors that affect the level of physical activity and body mass index of the elderly. The current study aimed to assess the relationship of  physical activity facilitators and body mass index of Kashan elderly. Methods: The cross-sectional study sampled 400 elderly older than 60 referred to 10 healthcare centers in Kashan, 2014, via multistage quota method. Participations were tested under demographic characters, body mass index(BMI level, and exercise benefits part of exercise benefits and barrier scale (persian  version for measurig  physical activity facilitators. Data were analyzed in SPSS software, descriptive statistic, Spearman correlation test, Chi-Square and Ordinal regression. Results: Of the participations73.6% were overweight or obese. Median and interquartile range (IQR of  physical activity facilitators was 75 and 33 respectively. The most prominent  physical activity facilitators was" physical activity increases my physical ability, (83.2%. There was a significantly inverse relationship between  physical activity facilitators  score and BMI of participants (r=-0.233, P=0.001. Ordinal regression evealed that mostly predictor of  BMI among  physical activity facilitators was "physical activity improves the quality of my work " (OR=8.683, P=0.001. Conclusion: Results identified  physical activity facilitators directly is related to improve physical circumstances of the elderly people. Surly poviding  physical activity facilitators through educational and interventional programs may improve the health status of aging population.

  16. BMI and BMI SDS in childhood: annual increments and conditional change.

    Science.gov (United States)

    Brannsether, Bente; Eide, Geir Egil; Roelants, Mathieu; Bjerknes, Robert; Júlíusson, Pétur Benedikt

    2017-02-01

    Background Early detection of abnormal weight gain in childhood may be important for preventive purposes. It is still debated which annual changes in BMI should warrant attention. Aim To analyse 1-year increments of Body Mass Index (BMI) and standardised BMI (BMI SDS) in childhood and explore conditional change in BMI SDS as an alternative method to evaluate 1-year changes in BMI. Subjects and methods The distributions of 1-year increments of BMI (kg/m 2 ) and BMI SDS are summarised by percentiles. Differences according to sex, age, height, weight, initial BMI and weight status on the BMI and BMI SDS increments were assessed with multiple linear regression. Conditional change in BMI SDS was based on the correlation between annual BMI measurements converted to SDS. Results BMI increments depended significantly on sex, height, weight and initial BMI. Changes in BMI SDS depended significantly only on the initial BMI SDS. The distribution of conditional change in BMI SDS using a two-correlation model was close to normal (mean = 0.11, SD = 1.02, n = 1167), with 3.2% (2.3-4.4%) of the observations below -2 SD and 2.8% (2.0-4.0%) above +2 SD. Conclusion Conditional change in BMI SDS can be used to detect unexpected large changes in BMI SDS. Although this method requires the use of a computer, it may be clinically useful to detect aberrant weight development.

  17. Impact of body mass index on outcome in stroke patients treated with intravenous thrombolysis

    OpenAIRE

    Gensicke, H.; Wicht, A.; Bill, O.; Zini, A.; Costa, P.; Kagi, G.; Stark, R.; Seiffge, D. J.; Traenka, C.; Peters, N.; Bonati, L. H.; Giovannini, G.; De Marchis, G. M.; Poli, L.; Polymeris, A.

    2016-01-01

    Abstract: Background and purposeThe impact of body mass index (BMI) on outcome in stroke patients treated with intravenous thrombolysis (IVT) was investigated. MethodsIn a multicentre IVT-register-based observational study, BMI with (i) poor 3-month outcome (i.e. modified Rankin Scale scores 3-6), (ii) death and (iii) symptomatic intracranial haemorrhage (sICH) based on criteria of the ECASS II trial was compared. BMI was used as a continuous and categorical variable distinguishing normal wei...

  18. Socioeconomic gradients in body mass index (BMI) in US immigrants during the transition to adulthood: examining the roles of parental education and intergenerational educational mobility.

    Science.gov (United States)

    Albrecht, Sandra S; Gordon-Larsen, Penny

    2014-09-01

    Despite comparatively lower socioeconomic status (SES), immigrants tend to have lower body weight and weaker SES gradients relative to US-born individuals. Yet, it is unknown how changes in SES over the life-course relate to body weight in immigrants versus US-born individuals. We used longitudinal data from a nationally representative, diverse sample of 13 701 adolescents followed into adulthood to investigate whether associations between SES mobility categories (educational attainment reported by individuals as adults and by their parents during adolescence) and body mass index (BMI) measured in adulthood varied by immigrant generation. Weighted multivariable linear regression models were adjusted for age, sex, race/ethnicity and immigrant generation. Among first-generation immigrants, although parental education was not associated with adult BMI, an immigrant's own education attainment was inversely associated with BMI (β=-2.6 kg/m(2); SE=0.9, peducational mobility was associated with lower adult mean BMI than remaining low SES (β=-2.5 kg/m(2); SE=1.2, pUS-born respondents, college education in adulthood did not attenuate the negative association between parental education and adult BMI. Although an SES gradient emerged in adulthood for immigrants, remaining low SES from adolescence to adulthood was not associated with loss of health advantage relative to US-born respondents of US-born parents of similar SES. Immigrants were able to translate higher SES in adulthood into a lower adult mean BMI regardless of childhood SES, whereas the consequences of lower childhood SES had a longer reach even among the upwardly mobile US born. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  19. Body Mass Index and Menstrual Patterns in Dancers.

    Science.gov (United States)

    Stracciolini, Andrea; Quinn, Bridget J; Geminiani, Ellen; Kinney, Susan; McCrystal, Tara; Owen, Michael; Pepin, Michael J; Stein, Cynthia J

    2016-04-18

    Questionnaires were distributed to investigate body mass index (BMI) and menstrual patterns in female dancers aged 12 to 17 years. The study cohort consisted of 105 dancers, mean age 14.8 ± 1.1 years, and mean BMI 19.5 ± 2.3 kg/m 2 In all, 92% were healthy weight for height. First menses age ranged from 10 to 15 years (mean 12.9 ± 1.1 years). A total of 44% reported irregular menses; of those, 14% described irregularity as "every other month," 37% as "every 3 months," and 49% as "skips a month occasionally." A total of 36% of the dancers stop getting their menses during times of increased activity/dance, and 30% have gone >3 months at any time without getting their menses. A significant negative correlation between BMI and age of first menses was found with lower BMI associated with increased age of first menses (linear regression, β = -0.49,P= .021). This study supports an association between BMI and age of menarche among young female dancers. Given bone health reliance on hormonal milieu in female dancers, future research is warranted. © The Author(s) 2016.

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

    NARCIS (Netherlands)

    van Santen, Hanneke M.; 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

    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. The goal of

  1. Effect of body mass index on serum leptin levels

    International Nuclear Information System (INIS)

    Paul, R.F.; Hassan, M.; Nazar, H.S.

    2012-01-01

    Background: Leptin is product of ob gene, an adipose tissue derived hormone that plays a key role in the regulation of body fat mass by regulating appetite and metabolism while balancing energy intake and energy expenditure. The objective of the study was to evaluate possible association between serum leptin levels and Body Mass Index (BMI) of gender in adult age group. Methods: Two-hundred-seventy subjects aged 20-50 years were randomly selected from general population of Abbottabad. The subjects were grouped on the basis on BMI (89 normal, 92 overweight, and 89 obese). After complete evaluation, demographic data was recorded and BMI. Non-fasting venous blood samples were drawn to measure serum leptin and serum glucose levels. The data were analysed using SPSS-15 calculating mean, percentage, independent t-test and chi-square test. Correlation and regression curve analysis were obtained, and p and r values were calculated. Results: Serum leptin levels and differences between genders were significant in all body mass indices. For normal BMI group the mean values for leptin were 2.6+-1.5 gamma g/ml in men, and 17.3+9-10.2 gamma g/ml for women. For Group-2 mean leptin levels in men were 9.9+-6.8 gamma g/ml and in women were 34.8+-13.6 gamma g/ml. For Group-3 BMI comprising obese subjects mean values for men were 21.3+-14.2 gamma g/ml and for women were 48.21+-21.2 gamma g/ml (p<0.001). Conclusion: A progressive increase in serum leptin concentration was observed with an increase in BMI. Significant difference between leptin concentrations in either gender was found in normal, overweight and obese subjects. (author)

  2. 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

  3. 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; 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

    2015-02-12

    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.

  4. Body mass index of children aged 2 to 15 years in Enugu Nigeria ...

    African Journals Online (AJOL)

    Background: Body Mass Index (BMI) is a measure of adiposity and has been used in many countries for assessment of overweight and obesity. The prevalence of obesity in children is increasing and is recognized as risk indicator of cardiovascular disease in adulthood. The study aimed was to document the Body Mass ...

  5. 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 survey...

  6. Changes in abdominal obesity in Chilean university students stratified by body mass index.

    Science.gov (United States)

    Cossio-Bolaños, Marco; Vilchez-Avaca, Catalina; Contreras-Mellado, Victor; Andruske, Cynthia Lee; Gómez-Campos, Rossana

    2016-01-13

    Studies based on Body Mass Index (BMI) and waist circumference (WC) are generally used to examine the prevalence and tendency of overweight and obesity. These studies help determine the socioeconomic development of a country and improve public health policies. Therefore, the goal of this research was to determine the trend of change in abdominal obesity of Chilean university students according to the Body Mass Index (BMI) measured in intervals of three and six years. For this study, a total of 1598 students of both sexes ranging in age from 18 to 26 from a Chilean university were evaluated. Students were assessed commencing in 2007 (372 males and 315 females), 2010 (250 males and 330 females), and ending in 2013 (153 males and 178 females). During the three transversal assessments, weight, height, and waist circumference were evaluated. BMI was calculated for both sexes. No significant differences were found in age and BMI during the three years evaluated (2007, 2010, and 2013). In 2013, waist circumference (WC) increased significantly (p obese), the university students showed significant increases in WC (Females: p = 0.004; Males: p = 0.035) whereas in 2007 and 2010, the values remained relatively stable. BMI remained constant during 2007, 2010, and 2013. However, the university students of both sexes showed greater risk of abdominal obesity as a result of increased WC in 2013.

  7. 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

  8. Body Mass Index Development and Asthma Throughout Childhood.

    Science.gov (United States)

    Ekström, Sandra; Magnusson, Jessica; Kull, Inger; Andersson, Niklas; Bottai, Matteo; Besharat Pour, Mohsen; Melén, Erik; Bergström, Anna

    2017-07-15

    Several studies have found an association between overweight and asthma, yet the temporal relationship between their onsets remains unclear. We investigated the development of body mass index (BMI) from birth to adolescence among 2,818 children with and without asthma from a Swedish birth cohort study, the BAMSE (a Swedish acronym for "children, allergy, milieu, Stockholm, epidemiology") Project, during 1994-2013. Measured weight and height were available at 13 time points throughout childhood. Asthma phenotypes (transient, persistent, and late-onset) were defined by timing of onset and remission. Quantile regression was used to analyze percentiles of BMI, and generalized estimating equations were used to analyze the association between asthma phenotypes and the risk of high BMI. Among females, BMI development differed between children with and without asthma, with the highest BMI being seen among females with persistent asthma. The difference existed throughout childhood but increased with age. For example, females with persistent asthma had 2.33 times' (95% confidence interval: 1.21, 4.49) greater odds of having a BMI above the 85th percentile at age ≥15 years than females without asthma. Among males, no clear associations between asthma and BMI were observed. In this study, persistent asthma was associated with high BMI throughout childhood among females, whereas no consistent association was observed among males. © The Author(s) 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.

  9. 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 ......, but its association with BMI is unknown. We hypothesized that genotype would accurately reflect smoking exposure and that, if smoking were causally related to weight, it would be associated with BMI in smokers, but not in never smokers.......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...

  10. Scaling of human body composition to stature: new insights into body mass index.

    Science.gov (United States)

    Heymsfield, Steven B; Gallagher, Dympna; Mayer, Laurel; Beetsch, Joel; Pietrobelli, Angelo

    2007-07-01

    Although Quetelet first reported in 1835 that adult weight scales to the square of stature, limited or no information is available on how anatomical body compartments, including adipose tissue (AT), scale to height. We examined the critical underlying assumptions of adiposity-body mass index (BMI) relations and extended these analyses to major anatomical compartments: skeletal muscle (SM), bone, residual mass, weight (AT+SM+bone), AT-free mass, and organs (liver, brain). This was a cross-sectional analysis of 2 body-composition databases: one including magnetic resonance imaging and dual-energy X-ray absorptiometry (DXA) estimates of evaluated components in adults (total n=411; organs=76) and the other a larger DXA database (n=1346) that included related estimates of fat, fat-free mass, and bone mineral mass. Weight, primary lean components (SM, residual mass, AT-free mass, and fat-free mass), and liver scaled to height with powers of approximately 2 (all P2 (2.31-2.48), and the fraction of weight as bone mineral mass was significantly (Pshort and tall subjects with equivalent BMIs have similar but not identical body composition, provide new insights into earlier BMI-related observations and thus establish a foundation for height-normalized indexes, and create an analytic framework for future studies.

  11. Accuracy of Body Mass Index-defined Obesity Status in US Firefighters

    Directory of Open Access Journals (Sweden)

    Nattinee Jitnarin

    2014-09-01

    Full Text Available Obesity is a significant problem affecting United States (US firefighters. While body mass index (BMI is widely used to diagnose obesity, its use for this occupational group has raised concerns about validity. We examined rates and types of misclassification of BMI-based obesity status compared to body fat percentage (BF% and waist circumference (WC. Male career firefighters (N = 994 from 20 US departments completed all three body composition assessments. Mean BMI, BF%, and WC were 29 kg/m2, 23%, and 97 cm, respectively. Approximately 33% and 15% of BF%- and WC-defined obese participants were misclassified as non-obese (false negatives using BMI, while 8% and 9% of non-obese participants defined by BF% and WC standards were identified as obese (false positives using BMI. When stratified by race/ethnicity, Pacific Islanders showed high rates of false positive misclassification. Precision in obesity classification would be improved by using WC along with BMI to determine firefighters' weight status.

  12. Body mass index and lung cancer risk in never smokers

    International Nuclear Information System (INIS)

    Kagohashi, K.; Satoh, H.; Kurishima, K.; Ishikawa, H.; Ohtsuka, M.

    2006-01-01

    Background. A relationship between body mass index (BMI) and lung cancer risk in never smokers has not been reported precisely. To evaluate the risk of lung cancer associated with BMI in never smokers, we conducted a case-control study. Methods. The relationship between BMI and the risk of lung cancer in never smokers was investigated in a study of 204 lung cancer cases and 398 controls admitted between 1987 and 2005. Controls were selected from hospitalized age-matched never-smoking patients with non-malignant respiratory disease. Results. When compared with BMI of the leanest group (BMI<20.8) in men, no inverse association between BMI and lung cancer was observed after the adjustment for age (the second BMI group: BMI≥ 20.8 to < 22.9; p=0.683, the third BMI group: BMI≥ 22.9 to < 24.9; p=0.745, and the highest BMI group: BMI≥ 25.0; p=0.327). Similarly, no association in women was found between BMI and lung cancer in these three BMI groups (the second group, p=0.639; the third group, p=0.667; the highest group, p=0.978) when compared with that of the leanest BMI group. Conclusions. Our present study indicated that the association between leanness and the risk of lung cancer might be influenced by other factors such as smoking. (author)

  13. The Sitting-Height Index of Build, (Body Mass/(Sitting Height3, as an Improvement on the Body Mass Index for Children, Adolescents and Young Adults

    Directory of Open Access Journals (Sweden)

    Richard Burton

    2018-02-01

    Full Text Available The body mass index (BMI is unsatisfactory in being affected by both relative leg length and height, and, for use with children and adolescents, therefore needs to be interpreted in relation to age. The sitting-height index of build (body mass/(sitting height3, is largely free of these disadvantages. Furthermore, because that index is independent of relative leg length, the latter can be treated as a separate indicator of nutritional history and health risks. Past studies on white children and adults have shown body mass to be approximately proportional to (sitting height3. Moreover, multiple regression of (body mass1/3 on sitting height and leg length, using year-by-year averages, has indicated that leg length is an insignificant predictor of body mass. The present study used data for individuals, namely 2–20 years old males and females, black as well as white. Regression analysis as above again showed leg length to be an insignificant predictor of body mass, but only above the age of about nine years. However, sitting height is still a stronger predictor of body mass than leg length at all ages. The advantages of the sitting-height index of build for use with young people are confirmed.

  14. 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 (Jing Hua); L.C. Jacobs (Leonie); I. Prokopenko (Inga); N. Soranzo (Nicole); T. Tanaka (Toshiko); N.J. 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 (Marjo-Riitta); 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.E. 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

  15. Body mass index and adult female urinary incontinence

    DEFF Research Database (Denmark)

    Mommsen, Søren; Foldspang, Anders

    1994-01-01

    rate of response was 85%, and the present analysis comprises 2,589 women who supplied information about their body weight and height. The period prevalence of all UI, stress UI, urge UI, and mixed stress and urge UI was 17%, 15%, 9%, and 7%, respectively. The mean body mass index (BMI) was 22.7 kg/m2......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....... Irrespective of other risk indicators, BMI was positively associated with UI prevalence (OR, 1.07/BMI unit; Pstress UI prevalence, with cystitis in predicting urge UI, and with both in predicting mixed UI. Stress UI proved to be the UI type most closely...

  16. Disentangling the associations between parental BMI and offspring body composition using the four‐component model

    Science.gov (United States)

    Grijalva‐Eternod, Carlos; Cortina‐Borja, Mario; Williams, Jane; Fewtrell, Mary; Wells, Jonathan

    2016-01-01

    ABSTRACT Objectives This study sets out to investigate the intergenerational associations between the body mass index (BMI) of parents and the body composition of their offspring. Methods The cross‐sectional data were analyzed for 511 parent–offspring trios from London and south‐east England. The offspring were aged 5–21 years. Parental BMI was obtained by recall and offspring fat mass and lean mass were obtained using the four‐component model. Multivariable regression analysis, with multiple imputation for missing paternal values was used. Sensitivity analyses for levels of non‐paternity were conducted. Results A positive association was seen between parental BMI and offspring BMI, fat mass index (FMI), and lean mass index (LMI). The mother's BMI was positively associated with the BMI, FMI, and LMI z‐scores of both daughters and sons and of a similar magnitude for both sexes. The father's BMI showed similar associations to the mother's BMI, with his son's BMI, FMI, and LMI z‐scores, but no association with his daughter. Sensitivity tests for non‐paternity showed that maternal coefficients remained greater than paternal coefficients throughout but there was no statistical difference at greater levels of non‐paternity. Conclusions We found variable associations between parental BMI and offspring body composition. Associations were generally stronger for maternal than paternal BMI, and paternal associations appeared to differ between sons and daughters. In this cohort, the mother's BMI was statistically significantly associated with her child's body composition but the father's BMI was only associated with the body composition of his sons. Am. J. Hum. Biol. 28:524–533, 2016. © 2016 The Authors American Journal of Human Biology Published by Wiley Periodicals, Inc. PMID:26848813

  17. Work productivity among adults with varied Body Mass Index: Results from a Canadian population-based survey

    OpenAIRE

    Arnaldo Sanchez Bustillos; Kris Gregory Vargas, III; Raul Gomero-Cuadra

    2015-01-01

    Background: The relationship between Body Mass Index (BMI) and work productivity, including absenteeism and presenteeism remains unclear. The objective of this study was to examine work productivity among adults with varied BMI using population-based data. Methods: Data source was the 2009–2010 Canadian Community Health Survey. The outcomes reflected work absence (absenteeism) and reduced activities at work (presenteeism). The key explanatory variable was BMI in six categories. Logistic re...

  18. Association of Body Weight and Body Mass Index with Bone Mineral Density in Women and Men from Kosovo.

    Science.gov (United States)

    Rexhepi, Sylejman; Bahtiri, Elton; Rexhepi, Mjellma; Sahatciu-Meka, Vjollca; Rexhepi, Blerta

    2015-08-01

    Body weight and body mass index (BMI) are considered potentially modifiable determinants of bone mass. Therefore, the aim of this study was to explore the association between body weight and body mass index (BMI) with total hip and lumbar spine bone mineral density (BMD). This cross-sectional study included a population of 100 women and 32 men from Kosovo into three BMI groups. All the study subjects underwent dual-energy X-ray absorptiometry (DXA) measurements. Total hip BMD levels of obese menopausal and premenopausal women and men were significantly higher compared to overweight or normal weight subjects, while lumbar spine BMD levels of only menopausal women and men were higher among obese subjects. Age-adjusted linear regression analysis showed that BMI is a significant independent associate of lumbar spine and total hip BMD in menopausal women and men. Despite positive association between BMI and lumbar spine and total hip BMD in menopausal women, presence of more obese and osteoporotic subjects among menopausal women represent a population at risk for fractures because of poor balance and frequent falls; therefore, both obesity and osteoporosis prevention efforts should begin early on in life.

  19. Association between body composition and body mass index in young Japanese women.

    Science.gov (United States)

    Yamagishi, Hiroyuki; Kitano, Takao; Kuchiki, Tsutomu; Okazaki, Hideki; Shibata, Shigeo

    2002-06-01

    The National Nutrition Survey of Japan indicated a trend toward a decreasing body mass index (BMI; kg/m2) among young Japanese women. Current studies suggest that not-high BMI often does not correlate with not-high body fat percentage. Recently, the classification of BMI in adult Asians was proposed by the International Obesity Task Force. The addition of an "at risk of overweight" category, BMI as 23.0-24.9, was intended to prevent chronic diseases. We investigated the association between body fat percentage (BF%) and BMI to evaluate the screening performance of BMI focused on individual preventive medicine. The subjects consisted of 605 female college students. The subjects' ages (y), heights (cm), body weights (kg), BMIs, and BF percents with underwater weighing expressed as the means +/- SD were 19.6 +/- 0.5, 158.7 +/- 5.6, 53.8 +/- 7.2, 21.3 +/- 2.4, and 24.9 +/- 4.9, respectively. We defined high BF% as +/- 85th percentile of BF% (29.8%). High-BF% individuals are often not classified into BMI > or = 23.0 because their BMI readings are very broad (18.4-31.7). In comparison to the screening performances (specificity and sensitivity), BMI > or = 23.0 (85.3% and 52.1%, respectively), rather than BMI > or = 25.0 (96.7% and 29.8%, respectively), is recommended for the mass evaluation of fatness. For this reason, the BMI "at risk of overweight" category is characterized as the threshold of increasing the appearance ratio of high-BF% individuals. In conclusion, the BMI > or = 25.0 kg/m2 category is determined as high BF%, regardless of body composition measurement for mass evaluation as a result of quite high specificity. Even so, body composition measurement is necessitated by the individual evaluation of fatness focused on preventive medicine because BMI performed a poor representation of body composition, especially BMI < 25.0 kg/m2 individuals.

  20. The association between psychological factors and breastfeeding behaviour in women with a body mass index (BMI) ≥30 kg m-2 : a systematic review.

    Science.gov (United States)

    Lyons, S; Currie, S; Peters, S; Lavender, T; Smith, D M

    2018-03-24

    Breastfeeding can play a key role in the reduction of obesity, but initiation and maintenance rates in women with a body mass index (BMI) of ≥30 kg m -2 are low. Psychological factors influence breastfeeding behaviours in the general population, but their role is not yet understood in women with a BMI ≥30 kg m -2 . Therefore, this review aimed to systematically search and synthesize the literature, which has investigated the association between any psychological factor and breastfeeding behaviour in women with a BMI ≥30 kg m -2 . The search identified 20 eligible papers, reporting 16 psychological factors. Five psychological factors were associated with breastfeeding behaviours: intentions to breastfeed, belief in breast milk's nutritional adequacy and sufficiency, belief about other's infant feeding preferences, body image and social knowledge. It is therefore recommended that current care should encourage women to plan to breastfeed, provide corrective information for particular beliefs and address their body image and social knowledge. Recommendations for future research include further exploration of several psychological factors (i.e. expecting that breastfeeding will enhance weight loss, depression, anxiety and stress) and evidence and theory-based intervention development. © 2018 The Authors. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.

  1. 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....

  2. Hubungan Body Mass Index dengan Laju Aliran Saliva (Studi pada Mahasiswa Fakultas Kedokteran Gigi Universitas Andalas

    Directory of Open Access Journals (Sweden)

    Fildzah Nurul Fajrin

    2015-12-01

    Relationship between Body Mass Index and Saliva Flow Rate (A Study in Faculty of Dentistry, Andalas University. Saliva flow rate is an affecting factor of caries formation. Adequate saliva flow rate can prevent cariess formation process and progression of periodontal disease and oral infection. Nutritional status is known as an influencing factor of saliva flow rate. The parameter of nutritional status is Body Mass Index (BMI. The purpose of this study is to discover the relation between BMI and saliva flow rate in College Students of the Dentistry Faculty Andalas University. This observational study with cross sectional design was conducted to 24 college students of the Dentistry Faculty Andalas University whose ages were 18-25 years old who complied with inclussion and exclussion criteria. BMI was calculated with BMI formula. The saliva flow rate was determined with Sialometry Method of Navazesh 2008 with ”ml/minute” unit. The univariat data analysis was caried out to describe each variable. Normality test Kolmogorov Smirnoff was done to see the normal distribution (p > 0,05. After the distribution was proven to be normal, corelation and regression test was executed to discover the relation between BMI and saliva flow rate. Based on the correlation test result, BMI of college students of the Dentistry Faculty Andalas University is χχ ± SD = 24,6 ± 6,02 kg/m2 and saliva flow rate is χχ ± SD = 0,29 ± 0,1 ml/minute. The relation between BMI and saliva flow rate expresses medium correlation with negative direction ( r = - 0,451. The result of linear regression shows that Saliva Flow Rate = 0,404 - 0,008*(BMI. The coefficient of regression BMI 0.008 shows that increasing 1 unit of BMI will decrease saliva flow rate 0,008 ml/minute. This study concludes that there is correlation between Body Mass Index and saliva flow rate. Obesity group has the lowest saliva flow rate, while the saliva flow rate does not decrease in underweight group.

  3. 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

  4. Genotype-covariate interaction effects and the heritability of adult body mass index

    NARCIS (Netherlands)

    Robinson, Matthew R.; English, Geoffrey; Moser, Gerhard; Lloyd-Jones, Luke R; Triplett, Marcus A; Zhu, Zhihong; Nolte, Ilja M; van Vliet-Ostaptchouk, Jana V; Snieder, Harold; Esko, Tonu; Milani, Lili; Mägi, Reedik; Metspalu, Andres; Magnusson, Patrik K. E.; Pedersen, Nancy L.; Ingelsson, Erik; Johannesson, Magnus; Yang, Jian; Cesarini, David; Visscher, Peter M.

    Obesity is a worldwide epidemic, with major health and economic costs. Here we estimate heritability for body mass index (BMI) in 172,000 sibling pairs and 150,832 unrelated individuals and explore the contribution of genotype-covariate interaction effects at common SNP loci. We find evidence for

  5. 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…

  6. Maternal Employment, Work Schedules, and Children’s Body Mass Index

    Science.gov (United States)

    Morrissey, Taryn W.; Dunifon, Rachel E.; Kalil, Ariel

    2011-01-01

    Previous work has shown that mothers’ employment is associated with increases in children’s body mass index (BMI), a measure of weight-for-height. Nonstandard work (working evenings/nights, weekends, or an irregular shift) may also be associated with children’s BMI. In this paper we examine the association between maternal work and children’s BMI, and also consider the influence of mothers’ nonstandard work schedules. Using data from school-age children in the NICHD’s Study of Early Child Care and Youth Development (N = 990), we found that an increase in the total time a mother is employed is associated with an increase in her child’s BMI; additionally, we find that the association between maternal employment and children’s weight is much stronger at 6th grade relative to younger ages. There was no evidence that maternal or home characteristics or children’s time use mediated these associations, nor was there any evidence that nonstandard work was associated with children’s BMI. Implications for policy and future research are discussed. PMID:21291429

  7. Association of parental body mass index before pregnancy on infant growth and body composition: Evidence from a pregnancy cohort study in Malaysia.

    Science.gov (United States)

    Zalbahar, Nurzalinda; Jan Mohamed, Hamid Jan B; Loy, See Ling; Najman, Jake; McIntyre, Harold David; Mamun, Abdullah

    2016-09-01

    Parental body mass index (BMI) is strongly linked with the development of offspring overweight and obesity. However, there are a limited number of studies focusing on the association of parental body mass index before pregnancy on offspring growth and body composition in early life, particularly in developing countries. Data from the University Sains Malaysia (USM) Pregnancy Cohort which consists of 153 mother-offspring pairs were used. Data were collected using interview-administered questionnaires and anthropometric measurements were also obtained. Multiple linear regression and generalised equation estimation (GEE) were used to examine the direction and impact of the association between parental BMI and child growth and body composition (weight for age, height for age, body mass index for age, weight for height and fat mass at age 2m, 6m, and 12m). Potential confounders, including validated measures of maternal diets and physical activity during pregnancy, were considered. Of 153 parents, one-quarter of the mothers and 42.2% of the fathers, respectively, were overweight or obese before pregnancy. A significant association was found between maternal BMI and child's weight for height z-score (WHZ) and body mass index for age z-score (BAZ). Having high pre-pregnancy BMI may increase BMI and WAZ of offspring in early life. Findings from this study emphasise the importance of monitoring maternal weight status, particularly before and during pregnancy and early life of offspring among Malaysians. Copyright © 2015 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

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

    NARCIS (Netherlands)

    Locke, A.E.; Kahali, B.; Berndt, S.I.; Justice, A.E.; Pers, T.H.; Day, F.R.; Powell, C.; Vedantam, S.; Buchkovich, M.L.; Yang, J.; Croteau-Chonka, D.C.; Esko, T.; Fall, T.; Ferreira, T.; Gustafsson, S.; Kutalik, Z.; Luan, J.; Maegi, R.; Randall, J.C.; Winkler, T.W.; Wood, A.R.; Workalemahu, T.; Faul, J.D.; Smith, J.A.; Zhao, J.H.; Zhao, W.; Chen, J.; Fehrmann, R.; Hedman, A.K.; Karjalainen, J.; Schmidt, E.M.; Absher, D.; Amin, N.; Anderson, D.; Beekman, M.; Bolton, J.L.; Bragg-Gresham, L.; Buyske, S.; Demirkan, A.; Deng, G.; Ehret, G.B.; Feenstra, B.; Feitosa, M.F.; Fischer, K.; Goel, A.; Gong, J.; Jackson, A.U.; Kanoni, S.; Kleber, M.E.; Kristiansson, K.; Lim, U.; Lotay, V.; Mangino, M.; Leach, I.M.; Medina-Gomez, C.; Medland, S.E.; Nalls, M.A.; Palmer, C.D.; Pasko, D.; Pechlivanis, S.; Peters, MJ; Prokopenko, I.; Shungin, D.; Stancakova, A.; Strawbridge, R.J.; Sung, Y.J.; Teumer, A.; Trompet, S.; van der Laan, S.W.; van Settee, J.; Van Vliet-Ostaptchouk, J.V.; Wang, Z.; Yengo, L.; Zhang, W.; Isaacs, A.; Albrecht, E.; Arnlov, J.; Arscott, G.M.; Attwood, A.P.; Bandinelli, S.; Barrett, A.; Bas, I.N.; Bellis, C.; Bennett, A.J.; Berne, C.; Blagieva, R.; Blueher, M.; Bohringer, S.; Bonnycastle, L.L.; Boettcher, Y.; Boyd, H.A.; Bruinenberg, M.; Caspersen, I.H.; Chen, Y.I.; Clarke, R.; Daw, E.W.; de Craen, A.J.M.; Delgado, G.; Dimitriou, M.; Doney, A.S.F.; Eklund, N.; Estrada, K.; Eury, E.; Folkersen, L.; Fraser, R.M.; Garcia, M.E.; Geller, F.; Giedraitis, V.; Gigante, B.; Go, A.S.; Golay, A.; Goodall, A.H.; Gordon, S.D.; Gorski, M.; Grabe, H.; Grallert, H.; Grammer, T.B.; Graessler, J.; Gronberg, H.; Groves, C.J.; Gusto, G.; Haessler, J.; Hall, P.; Haller, T.; Hallmans, G.; Hartman, C.A.; Hassinen, M.; Hayward, C.; Heard-Costa, N.L.; Helmer, Q.; Hengstenberg, C.; Holmen, O.; Hottenga, J.J.; James, A.L.; Jeff, J.M.; Johansson, A.; Jolley, J.; Juliusdottir, T.; Kinnunen, L.; Koenig, W.; Koskenvuo, M.; Kratzer, W.; Laitinen, J.; Lamina, C.; Leander, K.; Lee, N.R.; Lichtner, P.; Lind, L.; Lindstrom, J.; Lo, K.S.; Lobbens, S.; Lorbeer, R.; Lu, Y.; Mach, F.; Magnusson, P.K.E.; Mahajan, A.; McArdle, W.L.; McLachlan, S.; Menni, C.; Merger, S.; Mihailov, E.; Milani, L.; Moayyeri, A.; Monda, K.L.; Morken, M.A.; Mulas, A.; Mueller, G.; Mueller-Nurasyid, M.; Musk, A.W.; Nagaraja, R.; Noethen, M.M.; Nolte, I.M.; Pilz, S.; Rayner, N.W.; Renstrom, F.; Rettig, R.; Ried, J.S.; Ripke, S.; Robertson, N.R.; Rose, L.M.; Sanna, S.; Scharnagl, H.; Scholtens, S.; Schumacher, F.R.; Scott, W.R.; Seufferlein, T.; Shi, J.; Smith, A.V.; Smolonska, J.; Stanton, A.V.; Steinthorsdottir, V.; Stirrups, K.; Stringham, H.M.; Sundstrom, J.; Swertz, M.A.; Swift, A.J.; Syvanen, A.; Tan, S.; Tayo, B.O.; Thorand, B.; Thorleifsson, G.; Tyrer, J.P.; Uh, H.; Vandenput, L.; Verhulst, F.C.; Vermeulen, S.H.; Verweij, N.; Vonk, J.M.; Waite, L.L.; Warren, H.R.; Waterworth, D.; Weedon, M.N.; Wilkens, L.R.; Willenborg, C.; Wilsgaard, T.; Wojczynski, M.K.; Wong, A.; Wrightl, A.F.; Zhang, Q.; Brennan, E.P.; Choi, M.; Dastani, Z.; Drong, A.W.; Eriksson, P.; Franco-Cereceda, A.; Gadin, J.R.; Gharavi, A.G.; Goddard, M.E.; Handsaker, R.E.; Huang, J.; Karpe, F.; Kathiresan, S.; Keildson, S.; Kiryluk, K.; Kubo, M.; Lee, J.; Liang, L.; Lifton, R.P.; Ma, B.; McCarroll, S.A.; McKnight, A.J.; Min, J.L.; Moffatt, M.F.; Montgomery, G.W.; Murabito, J.M.; Nicholson, G.; Nyholt, DR; Okada, Y.; Perry, J.R.B.; Dorajoo, R.; Reinmaa, E.; Salem, R.M.; Sandholm, N.; Scott, R.A.; Stolk, L.; Takahashi, A.; Tanaka, T.; van 't Hooft, F.M.; Vinkhuyzen, A.A.E.; Westra, H.; Zheng, W.; Zondervan, K.T.; Heath, A.C.; Arveiler, D.; Bakker, S.J.L.; Beilby, J.; Bergman, R.N.; Blangero, J.; Bovet, P.; Campbell, H.; Caulfield, M.J.; Cesana, G.; Chakravarti, A.; Chasman, D.I.; Chines, P.S.; Collins, F.S.; Crawford, D.C.; Cupples, L.A.; Cusi, D.; Danesh, J.; de Faire, U.; den Ruijter, H.M.; Dominiczak, A.F.; Erbel, R.; Erdmann, J.; Eriksson, J.G.; Farrall, M.; Felix, S.B.; Ferrannini, E.; Ferrieres, J.; Ford, I.; Forouhi, N.G.; Forrester, T.; Franco, O.H.; Gansevoort, R.T.; Gejman, P. V.; Gieger, C.; Gottesman, O.; Gudnason, V.; Gyllensten, U.; Hall, A.S.; Harris, T.B.; Hattersley, A.T.; Hicks, A.A.; Hindorff, L.A.; Hingorani, A.D.; Hofman, A.; Homuth, G.; Hovingh, G.K.; Humphries, S.E.; Hunt, S.C.; Hypponen, E.; Illig, T.; Jacobs, K.B.; Jarvelin, M.; Joeckel, K.; Johansen, B.; Jousilahti, P.; Jukema, J.W.; Jula, A.M.; Kaprio, J.; Kastelein, J.J.P.; Keinanen-Kiukaanniemi, S.M.; Kiemeney, L.A.; Knekt, P.; Kooner, J.S.; Kooperberg, C.; Kovacs, P.; Kraja, A.T.; Kumari, M.; Kuusisto, J.; Lakka, T.A.; Langenberg, C.; Le Marchand, L.; Lehtimaki, T.; Lyssenko, V.; Mannisto, S.; Marette, A.; Matise, T.C.; McKenzie, C.A.; McKnight, B.; Moll, F.L.; Morris, A.D.; Morris, A.P.; Murray, J.C.; Nelis, M.; Ohlsson, C.; Oldehinkel, A.J.; Ong, K.K.; Madden, P.A.F.; Pasterkamp, G.; Peden, J.F.; Peters, A.; Postma, D.S.; Pramstaller, P.P.; Price, J.F.; Qi, L.; Raitakari, O.T.; Rankinen, T.; Rao, D.C.; Rice, T.K.; Ridker, P.M.; Rioux, J.D.; Ritchie, M.D.; Rudan, I.; Salomaa, V.; Samani, N.J.; Saramines, J.; Sarzynski, M.A.; Schunkert, H.; Schwarz, P.E.H.; Sever, P.; Shuldiner, A.R.; Sinisalo, J.; Stolk, R.P; Strauch, K.; Toenjes, A.; Tregouet, D.; Tremblay, A.; Tremoli, E.; Virtamo, J.; Vohl, M.; Voelker, U.; Waeber, G.; Willemsen, G.; Witteman, J.C.; Zillikens, M.C.; Adair, L.S.; Amouyel, P.; Asselbergs, F.W.; Assimes, T.L.; Bochud, M.; Boehm, B.O.; Boerwinkle, E.; Bornstein, S.R.; Bottinger, E.P.; Bouchard, C.; Cauchi, S.; Chambers, J.C.; Chanock, S.J.; Cooper, R.S.; de Bakker, P.I.W.; Dedoussis, G.; Ferrucci, L.; Franks, P.W.; Froguel, P.; Groop, L.C.; Haiman, C.A.; Hamsten, A.; Hui, J.; Hunter, D.J.; Hveem, K.; Kaplan, R.C.; Kivimaki, M.; Kuh, D; Laakso, M.; Liu, Y.; Martin, N.G.; Maerz, W.; Melbve, M.; Metspalu, A.; Moebus, S.; Munroe, P.B.; Njolstad, I.; Oostra, B.A.; Palmer, C.N.A.; Pedersen, N.L.; Perola, M.; Perusse, L.; Peters, U.; Power, C.; Quertermous, T.; Rauramaa, R.; Rivadeneira, F.; Saaristo, T.E.; Saleheen, D.; Sattar, N.; Schadt, E.E.; Schlessinger, D.; Slagboom, P.E.; Snieder, H.; Spector, T.D.; Thorsteinsdottir, U.R.; Stumvoll, M.; Tuomilehto, J.; Uitterlinden, A. G.; Uusitupa, M.; van der Harst, P.; Walker, M.; Wallaschofski, H.; Wareham, N.J.; Watkins, H.; Weir, D.R.; Wichmann, H.-.; Wilson, J.F.; Zanen, P.; Borecki, I.B.; Deloukas, P.; Fox, C.S.; Heid, I.M.; O'Connell, J.R.; Strachan, D.P.; Stefansson, K.; van Duijri, C.M.; Abecasis, G.R.; Franke, L.; Frayling, T.M.; McCarthy, M.I.; Visscher, P. M.; Scherag, A.; Willer, C.J.; Boehnke, M.; Mohlke, K.L.; Lindgren, C.M.; Beckmann, J.S.; Barroso, I.; North, K.E.; Ingelsson, E.; Hirschhorn, J.N.; Loos, R.J.F.; Speliotes, E.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

  9. 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…

  10. Genetic and environmental transmission of body mass index fluctuation.

    Science.gov (United States)

    Bergin, Jocilyn E; Neale, Michael C; Eaves, Lindon J; Martin, Nicholas G; Heath, Andrew C; Maes, Hermine H

    2012-11-01

    This study sought to determine the relationship between body mass index (BMI) fluctuation and cardiovascular disease phenotypes, diabetes, and depression and the role of genetic and environmental factors in individual differences in BMI fluctuation using the extended twin-family model (ETFM). This study included 14,763 twins and their relatives. Health and Lifestyle Questionnaires were obtained from 28,492 individuals from the Virginia 30,000 dataset including twins, parents, siblings, spouses, and children of twins. Self-report cardiovascular disease, diabetes, and depression data were available. From self-reported height and weight, BMI fluctuation was calculated as the difference between highest and lowest BMI after age 18, for individuals 18-80 years. Logistic regression analyses were used to determine the relationship between BMI fluctuation and disease status. The ETFM was used to estimate the significance and contribution of genetic and environmental factors, cultural transmission, and assortative mating components to BMI fluctuation, while controlling for age. We tested sex differences in additive and dominant genetic effects, parental, non-parental, twin, and unique environmental effects. BMI fluctuation was highly associated with disease status, independent of BMI. Genetic effects accounted for ~34 % of variance in BMI fluctuation in males and ~43 % of variance in females. The majority of the variance was accounted for by environmental factors, about a third of which were shared among twins. Assortative mating, and cultural transmission accounted for only a small proportion of variance in this phenotype. Since there are substantial health risks associated with BMI fluctuation and environmental components of BMI fluctuation account for over 60 % of variance in males and over 50 % of variance in females, environmental risk factors may be appropriate targets to reduce BMI fluctuation.

  11. The effect of body mass index on perioperative thermoregulation

    Directory of Open Access Journals (Sweden)

    Özer AB

    2016-11-01

    Full Text Available Ayşe Belin Özer,1 Aysun Yildiz Altun,1 Ömer Lütfi Erhan,1 Tuba Çatak,2 Ümit Karatepe,1 İsmail Demirel,1 Gonca Çağlar Toprak3 1Department of Anesthesiology and Intensive Care, Firat University Medical School, Elaziğ, 2Department of Anesthesiology and Intensive Care Clinic, Bingol State Hospital, Bingöl, 3Department of Anesthesiology and Intensive Care Clinic, Elazig Training and Research Hospital, Elaziğ, Turkey Purpose: We evaluated the effects of body mass index (BMI on thermoregulation in obese patients scheduled to undergo laparoscopic abdominal surgery. Methods: Sixty patients scheduled to undergo laparoscopic abdominal surgery with no premedication were included in the study. The patients were classified into 4 groups according to BMI <24.9, 25–39.9, 40–49.9, and >50. Anesthesia was provided with routine techniques. Tympanic and peripheral temperatures were recorded every 5 minutes starting with the induction of anesthesia. The mean skin temperature (MST, mean body temperature (MBT, vasoconstriction time, and vasoconstriction threshold that triggers core warming were calculated with the following formulas: MST = 0.3 (Tchest + Tarm + 0.2 (Tthigh + Tcalf. MBT was calculated using the equation 0.64Tcore+0.36Tskin, and vasoconstriction was determined by calculating Tforearm-Tfinger. Results: There was no significant difference between the groups in terms of age, gender, duration of operation, and room temperature. Compared to those with BMI <24.9, the tympanic temperature was significantly higher in those with BMI =25–39.9 in the 10th, 15th, 20th, and 50th minutes. In addition, BMI =40–49.9 in the 5th, 10th, 15th, 20th, 25th, 30th, 40th, 45th, 50th, and 55th minutes and BMI >50 in the 5th, 10th, 15th, 20th, 25th, 30th, 50th, and 55th minutes were less than those with BMI <24.9 (P<0.05. There was no significant difference in terms of MST and MBT. Vasoconstriction occurred later, and that vasoconstriction threshold was

  12. Body mass index and risk for mental stress induced ischemia in coronary artery disease.

    Science.gov (United States)

    Soufer, Robert; Fernandez, Antonio B; Meadows, Judith; Collins, Dorothea; Burg, Matthew M

    2016-05-19

    Acute emotionally reactive mental stress (MS) can provoke prognostically relevant deficits in cardiac function and myocardial perfusion, and chronic inflammation increases risk for this ischemic phenomenon. We have described parasympathetic withdrawal and generation of inflammatory factors in MS. Adiposity is also associated with elevated markers of chronic inflammation. High body mass index (BMI) is frequently used as a surrogate for assessment of excess adiposity, and associated with traditional CAD risk factors, and CAD mortality. BMI is also associated with autonomic dysregulation, adipose tissue derived proinflammatory cytokines, which are also attendant to emotion provoked myocardial ischemia. Thus, we sought to determine if body mass index (BMI) contributes to risk of developing myocardial ischemia provoked by mental stress. We performed a prospective interventional study in a cohort of 161 patients with stable CAD. They completed an assessment of myocardial blood flow with single photon emission computed tomography (SPECT) simultaneously during 2 conditions: laboratory mental stress and at rest. Multivariate logistic regression determined the independent contribution of BMI to the occurrence of mental-stress induced ischemia. Mean age was 65.6±9.0 years; 87.0% had a history of hypertension, and 28.6% had diabetes. Mean BMI was 30.4±4.7. Prevalence of mental stress ischemia was 39.8%. BMI was an independent predictor of mental stress ischemia, OR=1.10, 95% CI [1.01-1.18] for one-point increase in BMI and OR=1.53, 95% CI [1.06-2.21] for a 4.7 point increase in BMI (one standard deviation beyond the cohort BMI mean), p=0.025 for all. These data suggest that BMI may serve as an independent risk marker for mental stress ischemia. The factors attendant with greater BMI, which include autonomic dysregulation and inflammation, may represent pathways by which high BMI contribute to this risk and serve as a conceptual construct to replicate these findings in larger

  13. Changes in parent motivation predicts changes in body mass index z-score (zBMI) and dietary intake among preschoolers enrolled in a family-based obesity intervention.

    Science.gov (United States)

    Van Allen, Jason; Kuhl, Elizabeth S; Filigno, Stephanie S; Clifford, Lisa M; Connor, Jared M; Stark, Lori J

    2014-10-01

    To examine whether changes in parent motivation over the course of a pediatric obesity intervention are significantly associated with long-term changes in treatment outcomes.   Study hypotheses were tested with a secondary data analysis of a randomized controlled trial (N = 42). Study analyses tested whether baseline to posttreatment change in total score for a self-report parent motivation measure (Parent Motivation Inventory [PMI]) was significantly associated with baseline to 6-month follow-up changes in body mass index z-score (zBMI), dietary variables, and physical activity.   Increases in PMI were significantly associated with decreased zBMI, decreased consumption of sugar-sweetened beverages and sweets, and increased consumption of artificially sweetened beverages.   Given that increases in parent motivation were associated with some treatment benefits, future research should evaluate the impact of directly assessing and targeting parent motivation on weight outcomes for preschoolers participating in a weight management program. © The Author 2014. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  14. 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

    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. A convenience sample of 515 college students completed an online survey consisting of the Pittsburgh Sleep Quality Index (PSQI), and self-reported height and weight to calculate BMI. Univariate and multivariate logistic regression analyses were performed using components of the PSQI as predictors of overweight (BMI ≥ 25). One-third of the participants had BMI ≥ 25, and 51% were poor-quality sleepers (PSQI > 5). Controlling for age and sex, only sleep disturbances were associated with overweight (odds ratio = 1.66, 95% confidence interval [1.08, 2.57]). Sleep disturbances, rather than sleep duration, predicted overweight among young adults; this is consistent with the most recent evidence in the literature. These findings support expanding the scope of wellness programs to promote healthy sleep among students.

  15. 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. Our aim was to explore the relationship between 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 Quality Index (PSQI), and self-reported height and weight to calculate Body Mass Index (BMI). Univariate and multivariate logistic regression analyses were performed using components of the PSQI as predictors of overweight (BMI ≥ 25). Results One-third of the participants had BMI ≥ 25, and 51% were poor-quality sleepers (PSQI > 5). Controlling for age and sex, only sleep disturbances were associated to overweight (OR=1.66, 95% CI: 1.08-2.57). Conclusions Sleep disturbances, rather than sleep duration predicted overweight among young adults; this is consistent with the most recent evidence in the literature. These findings support expanding the scope of wellness programs to promote healthy sleep among students. PMID:24933244

  16. Relationship between physical activity and the development of body mass index in children

    NARCIS (Netherlands)

    Remmers, T.; Sleddens, E.F.C.; Gubbels, J.S.; Vries, S.I. de; Mommers, M.; Penders, J.; Kremers, S.P.J.; Thijs, C.

    2014-01-01

    PURPOSE: Studies estimating the contribution of physical activity (PA) to the development of body mass index (BMI) in critical periods of childhood are warranted. Therefore, we have prospectively investigated this relationship in boys and girls of the KOALA Birth Cohort study, the Netherlands, in

  17. Associations between Three School-Based Measures of Health: Is BMI Enough?

    Science.gov (United States)

    Morgan, Emily H.; Houser, Robert F.; Au, Lauren E.; Sacheck, Jennifer M.

    2013-01-01

    School-based body mass index (BMI) notification programs are often used to raise parental awareness of childhood overweight and obesity, but how BMI results are associated with physical fitness and diet is less clear. This study examined the relationship between BMI, fitness, and diet quality in a diverse sample of urban schoolchildren…

  18. 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.

  19. The Impact of Body Mass Index on Heterotopic Ossification

    International Nuclear Information System (INIS)

    Mourad, Waleed Fouad; Packianathan, Satya; Shourbaji, Rania A.; Zhang Zhen; Graves, Mathew; Khan, Majid A.; Baird, Michael C.; Russell, George; Vijayakumar, Srinivasan

    2012-01-01

    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.

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

    International Nuclear Information System (INIS)

    Somarajan, S; Cassilly, S; Obioha, C; Bradshaw, L A; Richards, W O

    2014-01-01

    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)

  1. Total homocysteine is positively correlated with body mass index, waist-to-hip ratio, and fat mass among overweight reproductive women: A cross-sectional study.

    Science.gov (United States)

    Al-Bayyari, Nahla; Hamadneh, Jehan; Hailat, Rae'd; Hamadneh, Shereen

    2017-12-01

    Conflicting associations between total homocysteine (tHcy), body mass index (BMI) lean body mass, and fat mass in the general population have been reported. We investigated the hypothesis that elevated tHcy levels are associated with increased BMI, waist-to-hip ratio (WHR), and body fat mass percent. In Jordan, obesity and overweight are prevalent among reproductive women and hyperhomocysteinemia, along with obesity and overweight, are independent risk factors for cardiovascular diseases. The participants used in this cross-sectional study were 325 overweight Jordanian women aged between 18 and 49 years old. The main outcome measures were tHcy, BMI, WHR, fat mass, fat-free mass, and total body water. Serum tHcy was analyzed using a liquid chromatography tandem mass spectrophotometry (LC-MS/MS) complete kit. The body compositions were measured using a bioelectrical impedance analyzer. Study participants were stratified according to their tHcy level into two groups, ≤10 μmol/L and >10 μmol/L, and the difference between mean values of body compositions was evaluated. The tHcy was significantly and negatively correlated with age, fat-free mass, and total body water, and significantly and positively correlated with BMI, hip circumference, WHR, fat mass, and dry lean weight. The chi-square and the independent sample t-tests showed statistically significant (P ≤ .05) differences between tHcy and BMI, WHR, fat and fat-free mass, and total body water percentages. In conclusion, BMI, WHR and body fat mass were found to be associated with elevated tHcy levels among overweight reproductive women, and they might be used as independent predictors of the tHcy level. Copyright © 2017 Elsevier Inc. All rights reserved.

  2. Body mass index and serum lipid levels

    Directory of Open Access Journals (Sweden)

    Pedro Javier Navarrete Mejía

    2016-02-01

    Full Text Available Objective: To identify the association between the body mass index (BMI and serum lipid levels in adult people. Material and Methods: Observational, transversal and retrospective study. Non experimental investigation design. The population was conformed for people treated in private health centers in Metropolitan Lima. The evaluations of the BMI and the laboratorial tests to know the seric concentration of lipids were taken between October 2014 and October 2015. It was determined the association between the BMI and the seric lipid levels using the Chi2 test. People with comorbidity that could modify the seric levels of lipids were excluded. Results: 39.7% of people studied were male and 60.3% were female. The average age was 34.2 years old. 40.7% (1227/3016 of population were obese and overweight. The results show a higher level of obesity or overweight in male people over female (54.6% and 33% respectively. 19.7% (594/3016 of the tested people presented high triglycerides seric levels. 27.9% (841/3016 presented high cholesterol levels and 38.8% (1146/3016 presented low cHDL levels. The cLDL levels and cVLDL levels were similar in both groups (male and female. Conclusions: The investigation determined the significant statistical association between the BMI and triglycerides (p < 0.05, cholesterol (p < 0.05 and cHDL (p < 0.05.

  3. Body mass index and risk of autoimmune diseases

    DEFF Research Database (Denmark)

    Harpsøe, Maria C; Basit, Saima; Andersson, Mikael

    2014-01-01

    .57) and type 1 diabetes mellitus (HR 2.67; 95% CI, 1.71 to 4.17). Risk of dermatitis herpetiformis increased by 14% (95% CI, 1% to 30%) per BMI unit. Conversely, risk of celiac disease and Raynaud's phenomenon decreased by 7% (95% CI, 1% to 13%) and 12% (95% CI, 4% to 19%) per BMI unit, respectively. Further......BACKGROUND: A possible aetiological link between obesity and certain autoimmune diseases (ADs) has been suggested. We investigated the associations between body mass index (BMI, kg/m2) and 43 ADs. METHODS: 75,008 women participating in the Danish National Birth Cohort were followed during a median......-up, 2430 women (3.2%) developed a total of 2607 new-onset ADs. Risk of any autoimmune disease was increased in obese women (HR, 1.27; 95% CI, 1.11 to 1.46) compared with normal weight women (18.5-≤25 kg/m2). Obese women (BMI≥30 kg/m2) were at increased risk of sarcoidosis (HR 3.59; 95% CI, 2.31 to 5...

  4. 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...

  5. 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...... were based on 383,092 BMI measurements. Variation in BMI was decomposed into genetic and environmental components through genetic structural equation modeling. RESULTS: The variance of BMI increased from 5 y of age along with increasing mean BMI. The proportion of BMI variation explained by additive...... environment was not observed. The sex-specific expression of genetic factors was seen in infancy but was most prominent at 13 y of age and older. The variance of BMI was highest in North America and Australia and lowest in East Asia, but the relative proportion of genetic variation to total variation remained...

  6. Association of body mass index with symptom severity and quality of life in patients with fibromyalgia.

    Science.gov (United States)

    Kim, Chul-Hyun; Luedtke, Connie A; Vincent, Ann; Thompson, Jeffrey M; Oh, Terry H

    2012-02-01

    To examine the association between body mass index (BMI) and symptom severity and quality of life (QOL) in patients with fibromyalgia. We assessed BMI status and its association with symptom severity and QOL in 888 patients with fibromyalgia who were seen in a fibromyalgia treatment program and who completed the Fibromyalgia Impact Questionnaire (FIQ) and the Short Form 36 (SF-36) health survey. The BMI distribution of nonobese (BMI fibromyalgia-related symptoms with worse FIQ total scores (P fibromyalgia, severe obesity (BMI ≥35.0 kg/m(2)) is associated with higher levels of fibromyalgia symptoms and lower levels of QOL. Copyright © 2012 by the American College of Rheumatology.

  7. Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee

    Directory of Open Access Journals (Sweden)

    Fabrício Bolpato Loures

    2016-08-01

    Full Text Available ABSTRACT OBJECTIVE: To evaluate the relationship between patients' body mass index (BMI and the degree of radiographic severity of knee osteoarthrosis. METHOD: 117 patients with gonarthrosis were evaluated prospectively. The patients' BMI was calculated and their knee arthrosis was classified in accordance with the modified Ahlbäck criteria. Kruskal-Wallis analysis of variance (ANOVA was used to evaluate the relationship between these two variables. RESULTS: The group classified as Ahlbäck grade V had significantly higher BMI than the others. CONCLUSION: There is a direct relationship between BMI and the degree of radiographic severity of gonarthrosis. Obesity appears to be directly related to the progression of knee osteoarthrosis.

  8. Relationship between Molar Incisor Hypomineralization with Body Mass Index and Dental Caries Index in 7-11 Year Old Children in Yazd City

    Directory of Open Access Journals (Sweden)

    Z Bahrololoomi

    2017-04-01

    Full Text Available Introduction: Molar Incisor Hypomineralization (MIH is a kind of developmental enamel defect with multifactorial etiology that causes different dental complication. So, many studies  have been done on this subject. The aim of this study was the evaluation of relationship between Molar Incisor Hypomineralization (MIH with body mass index (BMI and dental caries index (DMFT in 7-11 year old children in Yazd City. Methods: In this descriptive analytic study, 645 children between 7 to 11 years old in Yazd City were selected via randomized cluster sampling and were examined in the schools. EAPD and mDDE criteria were used for detection of MIH and the extension in teeth. Body mass index and permanent dental caries were evaluated based on the World Health Organization (WHO criteria. 40 children were examined for BMI and dental caries as an unaffected group. The mean value was analyzed with Mann Whitney test and the result was significant (P<0.05. Results: Out of 645 children, 154 were affected by MIH, 16 children (10.38% were underweight, 13 children (8.44% were overweight, 3 children (1.94% were obese and 122 children (79.22% had normal weight. BMI in the affected group and control group were 16.01 and 15.76, respectively. The difference of BMI between MIH group and control was not statistically significant (P=0.81. DMFT in children with MIH was 2.09 and in the control group was 1.1, respectively that means in affected group  there was a statistical difference than the control group (P=0.001. Conclusions: Children who suffering from MIH often have normal BMI and they have more decay in their permanent teeth.

  9. Effect of Gestational Weight Gain and Prepregnancy Body Mass Index in Adolescent Mothers on Weight and Body Mass Index of Adolescent Offspring.

    Science.gov (United States)

    Groth, Susan W; Holland, Margaret L; Smith, Joyce A; Meng, Ying; Kitzman, Harriet

    2017-11-01

    The purpose of the study was to examine the association of the gestational weight gain and prepregnancy body mass index (BMI) of low-income adolescent mothers with the risk of their children being overweight and/or obese in late adolescence. Study subjects were low-income, primiparous adolescents (n = 360) who self-identified as black and participated in the New Mothers Study in Memphis, Tennessee, and their children. Gestational weight gain was examined as a continuous variable and also categorized into overgain, recommended gain, and undergain following the 2009 Institute of Medicine guidelines. The effects of maternal prepregnancy BMI percentiles and calculated BMI were also considered. Multivariable logistic and linear regression models were used. The main outcome measures were offspring overweight, obesity, and BMI. Thirty-nine percent of offspring were overweight or obese. Higher maternal gestational weight gain increased the risk for offspring overweight and obesity. There was an interaction between gestational weight gain and prepregnancy BMI: offspring of mothers with a BMI percentile ≤76 were at greater risk of obesity with higher maternal weight gain. If mothers with a BMI percentile between the 29th and 83rd percentiles overgained, offspring were at greater risk for overweight. Using calculated BMIs, if a mother's BMI was ≤26 kg/m 2 , offspring risk for obesity was greater with higher gestational weight gain. High gestational weight gain had a larger effect on offspring overweight and obesity if maternal prepregnancy BMI percentile was ≤76. The gestational weight gain of primiparous adolescents who self-identified as black had an effect on offspring weight. Copyright © 2017 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  10. 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…

  11. Body mass index adjustments to increase the validity of body fatness assessment in UK Black African and South Asian children.

    Science.gov (United States)

    Hudda, M T; Nightingale, C M; Donin, A S; Fewtrell, M S; Haroun, D; Lum, S; Williams, J E; Owen, C G; Rudnicka, A R; Wells, J C K; Cook, D G; Whincup, P H

    2017-07-01

    Body mass index (BMI) (weight per height 2 ) is the most widely used marker of childhood obesity and total body fatness (BF). However, its validity is limited, especially in children of South Asian and Black African origins. We aimed to quantify BMI adjustments needed for UK children of Black African and South Asian origins so that adjusted BMI related to BF in the same way as for White European children. We used data from four recent UK studies that made deuterium dilution BF measurements in UK children of White European, South Asian and Black African origins. A height-standardized fat mass index (FMI) was derived to represent BF. Linear regression models were then fitted, separately for boys and girls, to quantify ethnic differences in BMI-FMI relationships and to provide ethnic-specific BMI adjustments. We restricted analyses to 4-12 year olds, to whom a single consistent FMI (fat mass per height 5 ) could be applied. BMI consistently underestimated BF in South Asians, requiring positive BMI adjustments of +1.12 kg m - 2 (95% confidence interval (CI): 0.83, 1.41 kg m - 2 ; PAfricans, requiring negative BMI adjustments for Black African children. However, these were complex because there were statistically significant interactions between Black African ethnicity and FMI (P=0.004 boys; P=0.003 girls) and also between FMI and age group (PAfricans. Ethnic-specific adjustments, increasing BMI in South Asians and reducing BMI in Black Africans, can improve the accuracy of BF assessment in these children.

  12. Body mass index predicts risk for complications from transtemporal cerebellopontine angle surgery.

    Science.gov (United States)

    Mantravadi, Avinash V; Leonetti, John P; Burgette, Ryan; Pontikis, George; Marzo, Sam J; Anderson, Douglas

    2013-03-01

    To determine the relationship between body mass index (BMI) and risk for specific complications from transtemporal cerebellopontine angle (CPA) surgery for nonmalignant disease. Case series with chart review. Tertiary-care academic hospital. Retrospective review of 134 consecutive patients undergoing transtemporal cerebellopontine angle surgery for nonmalignant disease from 2009 to 2011. Data were collected regarding demographics, body mass index, intraoperative details, hospital stay, and complications including cerebrospinal fluid leak, wound complications, and brachial plexopathy. One hundred thirty-four patients were analyzed with a mean preoperative body mass index of 28.58. Statistical analysis demonstrated a significant difference in body mass index between patients with a postoperative cerebrospinal fluid leak and those without (P = .04), as well as a similar significant difference between those experiencing postoperative brachial plexopathy and those with no such complication (P = .03). Logistical regression analysis confirmed that body mass index is significant in predicting both postoperative cerebrospinal fluid leak (P = .004; odds ratio, 1.10) and brachial plexopathy (P = .04; odds ratio, 1.07). Elevated body mass index was not significant in predicting wound complications or increased hospital stay beyond postoperative day 3. Risk of cerebrospinal fluid leak and brachial plexopathy is increased in patients with elevated body mass index undergoing surgery of the cerebellopontine angle. Consideration should be given to preoperative optimization via dietary and lifestyle modifications as well as intraoperative somatosensory evoked potential monitoring of the brachial plexus to decrease these risks.

  13. 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

  14. Body mass index and self-rated health in East Asian countries : Comparison among South Korea, China, Japan, and Taiwan

    NARCIS (Netherlands)

    Noh, Jin-Won; Kim, Jinseok; Yang, Youngmi; Park, Jumin; Cheon, Jooyoung; Kwon, Young Dae

    2017-01-01

    There have been conflicting findings regarding the relationship between body mass index (BMI) and self-rated health (SRH) worldwide. The purpose of this study was to examine the association between BMI and SRH by comparing its relationship in four East Asian countries: South Korea, China, Japan, and

  15. Elevated body mass index and risk of postoperative CSF leak following transsphenoidal surgery

    Science.gov (United States)

    Dlouhy, Brian J.; Madhavan, Karthik; Clinger, John D.; Reddy, Ambur; Dawson, Jeffrey D.; O’Brien, Erin K.; Chang, Eugene; Graham, Scott M.; Greenlee, Jeremy D. W.

    2012-01-01

    Object Postoperative CSF leakage can be a serious complication after a transsphenoidal surgical approach. An elevated body mass index (BMI) is a significant risk factor for spontaneous CSF leaks. However, there is no evidence correlating BMI with postoperative CSF leak after transsphenoidal surgery. The authors hypothesized that patients with elevated BMI would have a higher incidence of CSF leakage complications following transsphenoidal surgery. Methods The authors conducted a retrospective review of 121 patients who, between August 2005 and March 2010, underwent endoscopic endonasal transsphenoidal surgeries for resection of primarily sellar masses. Patients requiring extended transsphenoidal approaches were excluded. A multivariate statistical analysis was performed to investigate the association of BMI and other risk factors with postoperative CSF leakage. Results In 92 patients, 96 endonasal endoscopic transsphenoidal surgeries were performed that met inclusion criteria. Thirteen postoperative leaks occurred and required subsequent treatment, including lumbar drainage and/or reoperation. The average BMI of patients with a postoperative CSF leak was significantly greater than that in patients with no postoperative CSF leak (39.2 vs 32.9 kg/m2, p = 0.006). Multivariate analyses indicate that for every 5-kg/m2 increase in BMI, patients undergoing a transsphenoidal approach for a primarily sellar mass have 1.61 times the odds (95% CI 1.10–2.29, p = 0.016, by multivariate logistic regression) of having a postoperative CSF leak. Conclusions Elevated BMI is an independent predictor of postoperative CSF leak after an endonasal endoscopic transsphenoidal approach. The authors recommend that patients with BMI greater than 30 kg/m2 have meticulous sellar reconstruction at surgery and close monitoring postoperatively. PMID:22443502

  16. Diagnostic performance of body mass index to identify excess body fat in children with cerebral palsy.

    Science.gov (United States)

    Duran, Ibrahim; Schulze, Josefa; Martakis, KyriakoS; Stark, Christina; Schoenau, Eckhard

    2018-03-07

    To assess the diagnostic performance of body mass index (BMI) cut-off values according to recommendations of the World Health Organization (WHO), the World Obesity Federation (WOF), and the German Society for Adiposity (DAG) to identify excess body fat in children with cerebral palsy (CP). The present study was a monocentric retrospective analysis of prospectively collected data among children and adolescents with CP participating in a rehabilitation programme. Excess body fat was defined as a body fat percentage above the 85th centile assessed by dual-energy X-ray absorptiometry. In total, 329 children (181 males, 148 females) with CP were eligible for analysis. The mean age was 12 years 4 months (standard deviation 2y 9mo). The BMI cut-off values for 'overweight' according to the WHO, WOF, and DAG showed the following sensitivities and specificities for the prediction of excess body fat in our population: WHO: sensitivity 0.768 (95% confidence interval [CI] 0.636-0.870), specificity 0.894 (95% CI 0.851-0.928); WOF: sensitivity 0.696 (95% CI 0.559-0.812), specificity 0.934 (95% CI 0.898-0.960); DAG: sensitivity 0.411 (95% CI 0.281-0.550), specificity 0.993 (95% CI 0.974-0.999). Body mass index showed high specificity, but low sensitivity in children with CP. Thus, 'normal-weight obese' children with CP were overlooked, when assessing excess body fat only using BMI. Excess body fat in children with cerebral palsy (CP) is less common than previously reported. Body mass index (BMI) had high specificity but low sensitivity in detecting excess body fat in children with CP. BMI evaluation criteria of the German Society for Adiposity could be improved in children with CP. © 2018 Mac Keith Press.

  17. Body Mass Index and Risk of Infections Among Women in the Danish National Birth Cohort

    DEFF Research Database (Denmark)

    Harpsøe, Maria C; Nielsen, Nete M; Friis-Møller, Nina

    2016-01-01

    baseline BMI and later hospitalization for 1) any infectious disease and 2) infections of the respiratory tract, whereas a dose-response relationship was seen for skin infections. The most pronounced associations were seen for acute upper respiratory infections at multiple and unspecified sites...... was observed among overweight (BMI 25-infections of the upper respiratory tract and skin.......We investigated the possible association between body mass index (BMI; weight (kg)/height (m)(2)) and hospitalization or treatment for acute infection in a prospective cohort study. We linked 75,001 women enrolled in the Danish National Birth Cohort from 1996 to 2002, who had information on BMI...

  18. Relationship between body mass index, fat mass and lean mass with SF-36 quality of life scores in a group of fibromyalgia patients.

    Science.gov (United States)

    Arranz, Laura; Canela, Miguel Angel; Rafecas, Magda

    2012-11-01

    Patients suffering from fibromyalgia (FM) had widespread musculoskeletal pain and stiffness, fatigue, sleep disorders, cognitive impairment and other symptoms, which seriously affects their quality of life (QoL), making it difficult to perform normal activities. Moreover, FM has been associated with a higher prevalence of overweight and obesity than in the general population. Weight reduction has been beneficial in both FM and other rheumatic patients. Obesity and overweight have been pointed as playing a relevant role in FM symptoms; however, it is necessary to find out more about this relationship. The objective of this study was to evaluate the relationship between body mass index (BMI), fat mass (fM) and lean mass (lM) with quality of life in a group of FM patients. 103 women, with a mean age of 53.74 ± 7.81, and members of different FM patient associations from Spain participated in our study. Some anthropometric measures were taken like weight, height, BMI, body fat mass and lean mass. FM patients QoL was assessed by the Short-Form Health Survey, SF-36 questionnaire. Statistical reports were based on mean, standard deviation and correlation, but significance was tested by nonparametric methods. BMI, fM and lM correlated differently with the specific SF-36 scores. BMI had a high negative correlation with emotional role, fM with bodily pain and lM almost with all scores but specially with emotional role, vitality and physical role. The outcome of this study reveals some interesting relationships, which need to be further investigated to improve the management of FM patients.

  19. Human bipedalism and body-mass index.

    Science.gov (United States)

    Yi, Su Do; Noh, Jae Dong; Minnhagen, Petter; Song, Mi-Young; Chon, Tae-Soo; Kim, Beom Jun

    2017-06-16

    Body-mass index, abbreviated as BMI and given by M/H 2 with the mass M and the height H, has been widely used as a useful proxy to measure a general health status of a human individual. We generalise BMI in the form of M/H p and pursue to answer the question of the value of p for populations of animal species including human. We compare values of p for several different datasets for human populations with the ones obtained for other animal populations of fish, whales, and land mammals. All animal populations but humans analyzed in our work are shown to have p ≈ 3 unanimously. In contrast, human populations are different: As young infants grow to become toddlers and keep growing, the sudden change of p is observed at about one year after birth. Infants younger than one year old exhibit significantly larger value of p than two, while children between one and five years old show p ≈ 2, sharply different from other animal species. The observation implies the importance of the upright posture of human individuals. We also propose a simple mechanical model for a human body and suggest that standing and walking upright should put a clear division between bipedal human (p ≈ 2) and other animals (p ≈ 3).

  20. 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); P. d' 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 (Cornelia); 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

  1. Childhood body mass index and height and risk of histologic subtypes of endometrial cancer

    DEFF Research Database (Denmark)

    Aarestrup, J.; Gamborg, M.; Ulrich, L. G.

    2016-01-01

    BACKGROUND: Endometrial cancer risk factors include adult obesity and taller stature, but the influence of size earlier in life is incompletely understood. We examined whether childhood body mass index (BMI; kg m(-2)) and height were associated with histologic subtypes of endometrial cancer...

  2. Scaling of human body composition to stature: new insights into body mass index 123

    Science.gov (United States)

    Heymsfield, Steven B; Gallagher, Dympna; Mayer, Laurel; Beetsch, Joel; Pietrobelli, Angelo

    2009-01-01

    Background Although Quetelet first reported in 1835 that adult weight scales to the square of stature, limited or no information is available on how anatomical body compartments, including adipose tissue (AT), scale to height. Objective We examined the critical underlying assumptions of adiposity–body mass index (BMI) relations and extended these analyses to major anatomical compartments: skeletal muscle (SM), bone, residual mass, weight (AT+SM+bone), AT-free mass, and organs (liver, brain). Design This was a cross-sectional analysis of 2 body-composition databases: one including magnetic resonance imaging and dual-energy X-ray absorptiometry (DXA) estimates of evaluated components in adults (total n = 411; organs = 76) and the other a larger DXA database (n = 1346) that included related estimates of fat, fat-free mass, and bone mineral mass. Results Weight, primary lean components (SM, residual mass, AT-free mass, and fat-free mass), and liver scaled to height with powers of ≈2 (all P 2 (2.31–2.48), and the fraction of weight as bone mineral mass was significantly (P short and tall subjects with equivalent BMIs have similar but not identical body composition, provide new insights into earlier BMI-related observations and thus establish a foundation for height-normalized indexes, and create an analytic framework for future studies. PMID:17616766

  3. Correlates of body mass index in women with fibromyalgia.

    Science.gov (United States)

    Timmerman, Gayle M; Calfa, Nicolina A; Stuifbergen, Alexa K

    2013-01-01

    Excess weight in women with fibromyalgia syndrome (FMS) may further contribute to joint pain and fatigue. However, there is little research addressing weight issues in this population. This study examined the relationship of body mass index (BMI) to quality of life. Quality of life was measured by the 36-Item Short Form Health Survey, severity of FMS, nutritional intake, Barriers to Health Promoting Behaviors for Disabled Persons Scale (BS), and self-efficacy for health-promoting behaviors (Self-Rated Abilities for Health Practices Scale) in women with FMS. Baseline data were collected on 179 women diagnosed with FMS. Controlling for age, BMI was significantly (p < .05) correlated with 36-Item Short Form Health Survey subscales of physical functioning, bodily pain and vitality, severity of FMS using the Tender Point Index, calories, protein, fat, saturated fat, BS, and Self-Rated Abilities for Health Practices Scale subscale for exercise. The findings support a growing body of evidence that excess weight is negatively related to quality of life and pain in women with FMS.

  4. [Nutrient intake of Chilean older people according to body mass index].

    Science.gov (United States)

    Durán, Samuel A; Ulloa, Alejandra A; Reyes, Sussanne G

    2014-12-01

    An adequate consumption of micro and macro nutrients is essential to maintain an adequate health among older people. To compare the consumption of micro- and macronutrients in older people from three Chilean cities, according to their nutritional status. Body mass index (BMI) was assessed and a food consumption tendency survey was applied to 976 non-disabled older people, living in the community. Thinness was defined as a BMI < 23 kg/m². Twenty percent of females and 17% of males had a BMI < 23 kg/m². Participants with a higher BMI had a greater intake of micro- and macronutrients. In females, micronutrient intake was adequate among those with higher BMI, although mean intake of calcium and vitamin B-12 were below recommendations. In males, iron, zinc, calcium, magnesium, vitamin A, vitamin B6, vitamin B12 and pantothenic acid intake were below recommendation. Thin older adults, regardless of sex, had a lower intake of calories and micro- and macronutrients. Additionally, an overall low consumption of zinc, calcium, magnesium and vitamin B12 was detected.

  5. 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.

  6. The Impact of Body Mass Index on Heterotopic Ossification

    Energy Technology Data Exchange (ETDEWEB)

    Mourad, Waleed Fouad, E-mail: Waleed246@gmail.com [Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS (United States); Department of Radiation Oncology, Beth Israel Medical Center, New York, NY (Israel); Department of Radiation Oncology, Albert Einstein College of Medicine of Yeshiva University, Bronx, NY (United States); Packianathan, Satya [Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS (United States); Shourbaji, Rania A. [Department of Epidemiology and Biostatistics, Jackson State University, Jackson, MS (United States); Zhang Zhen; Graves, Mathew [Department of Orthopedic Surgery, University of Mississippi Medical Center, Jackson, MS (United States); Khan, Majid A. [Department of Radiology, University of Mississippi Medical Center, Jackson, MS (United States); Baird, Michael C. [Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS (United States); Russell, George [Department of Orthopedic Surgery, University of Mississippi Medical Center, Jackson, MS (United States); Vijayakumar, Srinivasan [Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS (United States)

    2012-04-01

    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: <18.5, 18.5-24.9, 25-29.9, and >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: <18.5, (0%) 0/6 patients; 18.5-24.9 (6%), 6 of 105 patients developed HO; 25-29.9 (19%), 22 of 117; >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 Multiplication-Sign (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.

  7. High body mass index is associated with impaired cognitive control.

    Science.gov (United States)

    Sellaro, Roberta; Colzato, Lorenza S

    2017-06-01

    The prevalence of weight problems is increasing worldwide. There is growing evidence that high body mass index (BMI) is associated with frontal lobe dysfunction and cognitive deficits concerning mental flexibility and inhibitory control efficiency. The present study aims at replicating and extending these observations. We compared cognitive control performance of normal weight (BMI task tapping either inhibitory control (Experiment 1) or interference control (Experiment 2). Experiment 1 replicated previous findings that found less efficient inhibitory control in overweight individuals. Experiment 2 complemented these findings by showing that cognitive control impairments associated with high BMI also extend to the ability to resolve stimulus-induced response conflict and to engage in conflict-driven control adaptation. The present results are consistent with and extend previous literature showing that high BMI in young, otherwise healthy individuals is associated with less efficient cognitive control functioning. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. 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

  9. Global variability in angina pectoris and its association with body mass index and poverty.

    Science.gov (United States)

    Liu, Longjian; Ma, Jixiang; Yin, Xiaoyan; Kelepouris, Ellie; Eisen, Howard J

    2011-03-01

    In the absence of a previous global comparison, we examined the variability in the prevalence of angina across 52 countries and its association with body weight and the poverty index using data from the World Health Organization-World Health Survey. The participants with angina were defined as those who had positive results using a Rose angina questionnaire and/or self-report of a physician diagnosis of angina. The body mass index (BMI) was determined as the weight in kilograms divided by the square of the height in meters. The poverty index (a standard score of socioeconomic status for a given country) was extracted from the United Nations' statistics. The associations of angina with the BMI and poverty index were analyzed cross-sectionally using univariate and multivariate analyses. The results showed that the total participants (n = 210,787) had an average age of 40.64 years. The prevalence of angina ranged from 2.44% in Tunisia to 23.89% in Chad. Those participants with a BMI of poverty status was considered. A tendency was seen for underweight status and a poverty index >14.65% to be associated with the risk of having angina, although these associations were not statistically significant in the multilevel models. In conclusion, significant variations were found in the anginal rates across 52 countries worldwide. An increased BMI was significantly associated with the odds of having angina. Published by Elsevier Inc.

  10. The interaction effect of body mass index and age on fat-free mass, waist-to-hip ratio, and soft lean mass

    Directory of Open Access Journals (Sweden)

    Alireza Shahab Jahanlou

    2017-01-01

    Full Text Available Background: Research has shown that body mass index (BMI does not take into consideration the gender and ethnicity. The primary purpose of this study was to examine the interaction effect of the BMI and age on fat-free mass (FFM, waist-to-hip ratio (WHR, and soft lean mass (SLM. The secondary purpose was to evaluate the practical significance of the findings by examining effect sizes. Materials and Methods: The study was comparative in nature and employed a factorial design. Due to nonexperimental nature of the investigation, no causal inferences were drawn. The nonprobability sample consisted of 19,356 adults. Analysis of the data included factorial analysis of variance, analysis of simple effects, calculation of mean difference effect sizes, and data transformation. The Statistical Package for the Social Sciences version 22 was employed for the purpose of data manipulation and analysis. Results: The BMI by age interaction effects on FFM, F (10, 19,338 = 28.26, P < 0.01, on WHR, F (10, 19,338 = 18.46, P < 0.01, and on SLM, F (10, 19,338 = 14.65, P < 0.01, was statistically significant and ordinal in nature. Analysis of the effect sizes, ranging from 0.30 to 1.20, showed that the BMI and age influenced the WHR but their interaction effects on FFM and SLM, ranging from 0.04 to 0.36 and 0.03 to 0.33, respectively, were mainly negligible. Conclusion: Based on the examination of the statistical and practical significance of the results, it is concluded that the BMI and age together can influence the WHR but their interaction effect on the FFM and SLM is questionable.

  11. Body mass index adjustments to increase the validity of body fatness assessment in UK Black African and South Asian children

    Science.gov (United States)

    Hudda, M T; Nightingale, C M; Donin, A S; Fewtrell, M S; Haroun, D; Lum, S; Williams, J E; Owen, C G; Rudnicka, A R; Wells, J C K; Cook, D G; Whincup, P H

    2017-01-01

    Background/Objectives: Body mass index (BMI) (weight per height2) is the most widely used marker of childhood obesity and total body fatness (BF). However, its validity is limited, especially in children of South Asian and Black African origins. We aimed to quantify BMI adjustments needed for UK children of Black African and South Asian origins so that adjusted BMI related to BF in the same way as for White European children. Methods: We used data from four recent UK studies that made deuterium dilution BF measurements in UK children of White European, South Asian and Black African origins. A height-standardized fat mass index (FMI) was derived to represent BF. Linear regression models were then fitted, separately for boys and girls, to quantify ethnic differences in BMI–FMI relationships and to provide ethnic-specific BMI adjustments. Results: We restricted analyses to 4–12 year olds, to whom a single consistent FMI (fat mass per height5) could be applied. BMI consistently underestimated BF in South Asians, requiring positive BMI adjustments of +1.12 kg m−2 (95% confidence interval (CI): 0.83, 1.41 kg m−2; Pchildren. However, these were complex because there were statistically significant interactions between Black African ethnicity and FMI (P=0.004 boys; P=0.003 girls) and also between FMI and age group (Pchildren with higher unadjusted BMI and the smallest in older children with lower unadjusted BMI. Conclusions: BMI underestimated BF in South Asians and overestimated BF in Black Africans. Ethnic-specific adjustments, increasing BMI in South Asians and reducing BMI in Black Africans, can improve the accuracy of BF assessment in these children. PMID:28325931

  12. Body mass index and the risk of Parkinson disease.

    Science.gov (United States)

    Hu, G; Jousilahti, P; Nissinen, A; Antikainen, R; Kivipelto, M; Tuomilehto, J

    2006-12-12

    To examine the association between body mass index (BMI) and the risk of Parkinson disease (PD). Study cohorts included 22,367 Finnish men and 23,439 women 25 to 59 years of age without a history of PD at baseline. Hazards ratios (HRs) of incident PD were estimated for different levels of BMI. During a mean follow-up period of 18.8 years, 272 men and 254 women developed incident PD. After adjustment for confounding factors (age, study years, systolic blood pressure, total cholesterol, education, leisure-time physical activity, smoking, and alcohol, coffee, and tea consumption), the HRs of PD at different levels of BMI ( or =30 kg/m(2)) were 1.00, 1.97 (95% CI: 1.21 to 3.22), 1.83 (95% CI: 1.12 to 2.99), 2.34 (95% CI: 1.45 to 3.78), and 2.44 (95% CI: 1.44 to 4.15) in men, and 1.00, 1.50 (95% CI: 0.95 to 2.37), 1.65 (95% CI: 1.05 to 2.59), 1.79 (95% CI: 1.15 to 2.80), and 1.77 (95% CI: 1.12 to 2.78) in women, and 1.00, 1.70 (95% CI: 1.23 to 2.37), 1.70 (95% CI: 1.23 to 2.37), 2.02 (95% CI: 1.46 to 2.79), and 2.03 (95% CI: 1.44 to 2.85) in men and women combined (adjusted also for sex). In both sexes combined, the multivariate-adjusted direct association between BMI and the risk of PD was present both in subjects aged 25 to 49 years and 50 to 59 years, in never smokers and smokers and in participants diagnosed PD before and after 65 years of age. Body mass index is associated with a risk of Parkinson disease. The effect is graded and independent of other risk factors.

  13. Population genetic differentiation of height and body mass index across Europe

    DEFF Research Database (Denmark)

    Robinson, Matthew R.; Hemani, Gibran; Medina-Gomez, Carolina

    2015-01-01

    Across-nation differences in the mean values for complex traits are common(1-8), but the reasons for these differences are unknown. Here we find that many independent loci contribute to population genetic differences in height and body mass index (BMI) in 9,416 individuals across 14 European...... countries. Using discovery data on over 250,000 individuals and unbiased effect size estimates from 17,500 sibling pairs, we estimate that 24% (95% credible interval (CI) = 9%, 41%) and 8% (95% CI = 4%, 16%) of the captured additive genetic variance for height and BMI, respectively, reflect population...... genetic differences. Population genetic divergence differed significantly from that in a null model (height, P

  14. 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...

  15. 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

  16. More controlling child-feeding practices are found among parents of boys with an average body mass index compared with parents of boys with a high body mass index.

    Science.gov (United States)

    Brann, Lynn S; Skinner, Jean D

    2005-09-01

    To determine if differences existed in mothers' and fathers' perceptions of their sons' weight, controlling child-feeding practices (ie, restriction, monitoring, and pressure to eat), and parenting styles (ie, authoritarian, authoritative, and permissive) by their sons' body mass index (BMI). One person (L.S.B.) interviewed mothers and boys using validated questionnaires and measured boys' weight and height; fathers completed questionnaires independently. Subjects were white, preadolescent boys and their parents. Boys were grouped by their BMI into an average BMI group (n=25; BMI percentile between 33rd and 68th) and a high BMI group (n=24; BMI percentile > or = 85th). Multivariate analyses of variance and analyses of variance. Mothers and fathers of boys with a high BMI saw their sons as more overweight (mothers P=.03, fathers P=.01), were more concerned about their sons' weight (Pfathers of boys with an average BMI (Pfathers of boys with a high BMI monitored their sons' eating less often than fathers of boys with an average BMI (P=.006). No differences were found in parenting by boys' BMI groups for either mothers or fathers. More controlling child-feeding practices were found among mothers (pressure to eat) and fathers (pressure to eat and monitoring) of boys with an average BMI compared with parents of boys with a high BMI. A better understanding of the relationships between feeding practices and boys' weight is necessary. However, longitudinal research is needed to provide evidence of causal association.

  17. [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...

  18. The Effect of Body Mass Index on Relapse of Pilonidal Sinus Disease in Adult Patients

    Directory of Open Access Journals (Sweden)

    Jalal Poorghasem

    2012-04-01

    Full Text Available Background: Pilonidal disease occurs either as a secreting sinus or in the form of an acute abscess in the coccygeal area and is an underlying cyst associated with granulomatous and fibrosis tissue which commonly contains heaps of hair, for which inherited and acquisitive hypotheses are proposed. Body mass index (BMI is the objective indicator of obesity according to height and weight. This study aims to examine the relationship between BMI and the role of obesity in development and relapse of pilonidal cyst disease.Materials and Methods: This retrospective cross-sectional study examined 126 patients with primary or recurrent pilonidal sinus within a year. A separate questionnaire was formed and recorded in the computer for each patient based on the disease type and body mass index.Results: One hundred out of 126 studied patients (79.4% underwent primary Pilonidal Sinus surgery and 26 patients (20.6 had recurrent Pilonidal sinus surgery. 36 patients (28.6 were female and 90 patients (71.4% were male. Among patients with recurrent Pilonidal sinus, 18 patients (69.2% had BMI above 30 and 8 patients (30.8% had BMI of 25 to 30 kg/m2. The patients whose BMI was estimated to be 20 to 25 or less than 20 kg/ m2 per square meter, had no recurrence of disease. Conclusion: In this study, high BMI was associated with relapse of pilonidal sinus disease. Supporting the previous studies, the incidence of disease in this study was also higher in young adults.

  19. Genetic determinants of serum vitamin B12 and their relation to body mass index

    DEFF Research Database (Denmark)

    Allin, Kristine H.; Friedrich, Nele; Pietzner, Maik

    2017-01-01

    for associations between (1) serum vitamin B12 levels and body mass index (BMI), (2) genetic variants and serum vitamin B12 levels, and (3) genetic variants and BMI. The effect of a genetically determined decrease in serum vitamin B12 on BMI was estimated by instrumental variable regression. Decreased serum......Lower serum vitamin B12 levels have been related to adverse metabolic health profiles, including adiposity. We used a Mendelian randomization design to test whether this relation might be causal. We included two Danish population-based studies (ntotal = 9311). Linear regression was used to test...... vitamin B12 associated with increased BMI (P vitamin B12 associated variants associated strongly with serum vitamin B12 (P vitamin B12...

  20. Relationship of serum thyroid stimulating hormone with body mass index in healthy adults

    Directory of Open Access Journals (Sweden)

    Amrita Solanki

    2013-01-01

    Full Text Available Objective: To investigate any possible relationship between serum thyroid stimulating hormone (TSH with body mass index (BMI in healthy adults. Materials and Methods: A total of 417 subjects aged 18-60 years who volunteered to get screened for thyroid illness with serum TSH have been enrolled from November 2012 to July 2013. Patients were divided into four groups based on BMI value: Underweight (BMI <18 kg/m 2 , normal (BMI: 18-22.9 kg/m 2 , overweight (BMI: 23-24.9 kg/m 2 , and obese (BMI ≥25 kg/m 2 . Result: In our study we found a significant variation (P < 0.001 in TSH with increasing BMI. As the BMI increased, mean TSH in the BMI range also increased. The individuals with higher BMI had higher TSH and this trend continued from underweight to Obese. The mean TSH of underweight group was 1.6036 mIU/L, normal weight group 2.1727 mIU/L, overweight group 2.2870 mIU/L and obese group 2.6416 mIU/L. Conclusion: In this study we found a significant relationship between serum TSH and BMI and mean TSH increased as BMI increased. Further large scale data from the population is required to confirm our findings.

  1. 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, Karin

    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

  2. The Impact of Body Mass Index on Oral Hygiene Practices of Adolescents in Bhopal City, India.

    Science.gov (United States)

    Santha, Binu; Sudheer, Hongal; Saxena, Vrinda; Jain, Manish; Tiwari, Vidhatri

    2016-02-01

    To assess the impact of Body Mass Index (BMI) on oral hygiene practices of adolescents in Bhopal City, India. Cross-sectional study. Arts College, Bhopal, from February to March 2014. Aconvenience sample of 17 - 23 years college-going adolescents from Arts College, Bhopal city was selected for the study. Self-reported questionnaire for adolescents to assess BMI and oral hygiene attitude, knowledge and practices was used. Descriptive statistics and chi-square test were applied. Out of the total study population, 53.54% (n=166) were males and 46.45% (n=144) were females. Two hundred and six (66.45%) were of optimal weight, 27.74% (n=86) were underweight and only 4.52% (n=14) were overweight. There was a significant association between BMI and oral hygiene practice of toothbrushing (p oral hygiene practices of adolescent population. There is growing interest in the relationship between BMI and oral health because both are significant public health concerns. These public health problems are related to common lifestyle factors such as unhealthy eating habits and smoking among children. These maladapted habits track into later life as predictors of increased BMI and oral health problems. Hence, it is required that the dentists are aware of the influence of body mass Index and lifestyle on oral health practices among children and adolescents.

  3. Adult body mass index and risk of ovarian cancer by subtype

    DEFF Research Database (Denmark)

    Dixon, Suzanne C; Nagle, Christina M; Thrift, Aaron P

    2016-01-01

    BACKGROUND: Observational studies have reported a positive association between body mass index (BMI) and ovarian cancer risk. However, questions remain as to whether this represents a causal effect, or holds for all histological subtypes. The lack of association observed for serous cancers may......, for instance, be due to disease-associated weight loss. Mendelian randomization (MR) uses genetic markers as proxies for risk factors to overcome limitations of observational studies. We used MR to elucidate the relationship between BMI and ovarian cancer, hypothesizing that genetically predicted BMI would...... be associated with increased risk of non-high grade serous ovarian cancers (non-HGSC) but not HGSC. METHODS: We pooled data from 39 studies (14 047 cases, 23 003 controls) in the Ovarian Cancer Association Consortium. We constructed a weighted genetic risk score (GRS, partial F-statistic = 172), summing alleles...

  4. The associations between maternal pre-pregnancy body mass index or gestational weight change during pregnancy and body mass index of the child at 3 years of age.

    Science.gov (United States)

    Stamnes Køpp, U M; Dahl-Jørgensen, K; Stigum, H; Frost Andersen, L; Næss, Ø; Nystad, W

    2012-10-01

    To estimate the associations between maternal pre-pregnancy body mass index (BMI) or gestational weight change (GWC) during pregnancy and offspring BMI at 3 years of age, while taking several pre-and postnatal factors into account. The Norwegian Mother and Child Cohort Study is a population-based pregnancy cohort study of women recruited from all geographical areas of Norway. The study includes 31 169 women enrolled between 2000 and 2009 through a postal invitation sent to women at 17-18 weeks of gestation. Data collected from 5898 of the fathers were included. MAIN OUTCOME MESURES: Offspring BMI at 3 years was the main outcome measured in this study. Mean maternal pre-pregnancy BMI was 24.0 kg m(-2) (s.d. 4.1), mean GWC in the first 30 weeks of gestation was 9.0 kg (s.d. 4.1) and mean offspring BMI at 3 years of age was 16.1 kg m(-2) (s.d. 1.5). Both maternal pre-pregnancy BMI and GWC were positively associated with mean offspring BMI at 3 years of age. Pre-pregnancy BMI and GWC also interacted, and the strength of the interaction between these two factors was strongly associated with the increase in offspring BMI among mothers who gained the most weight during pregnancy and had the highest pre-pregnancy BMI. Our findings show that results could be biased by not including pre-pregnant paternal BMI. This large population-based study showed that both maternal pre-pregnancy BMI and GWC were positively associated with mean offspring BMI at 3 years of age.

  5. Effects of age and body mass index on breast characteristics: A cluster analysis.

    Science.gov (United States)

    Coltman, Celeste E; Steele, Julie R; McGhee, Deirdre E

    2018-05-24

    Limited research has quantified variation in the characteristics of the breasts among women and determined how these breast characteristics are influenced by age and body mass. The aim of this study was to classify the breasts of women in the community into different categories based on comprehensive and objective measurements of the characteristics of their breasts and torsos, and to determine the effect of age and body mass index (BMI) on the prevalence of these breast categories. Four breast characteristic clusters were identified (X-Large, Very-ptotic & Splayed; Large, Ptotic & Splayed; Medium & Mildly-ptotic; and Small & Non-ptotic), with age and BMI shown to significantly affect the breast characteristic clusters. These results highlight the difference in breast characteristics exhibited among women and how these clusters are affected by age and BMI. The breast characteristic clusters identified in this study could be used as a basis for future bra designs and sizing systems in order to improve bra fit for women.

  6. Association of Childhood Body Mass Index and Change in Body Mass Index With First Adult Ischemic Stroke.

    Science.gov (United States)

    Gjærde, Line K; Gamborg, Michael; Ängquist, Lars; Truelsen, Thomas C; Sørensen, Thorkild I A; Baker, Jennifer L

    2017-11-01

    The incidence of ischemic stroke among young adults is rising and is potentially due to an increase in stroke risk factors occurring at younger ages, such as obesity. To investigate whether childhood body mass index (BMI) and change in BMI are associated with adult ischemic stroke and to assess whether the associations are age dependent or influenced by birth weight. This investigation was a population-based cohort study of schoolchildren born from 1930 to 1987, with follow-up through national health registers from 1977 to 2012 in Denmark. Participants were 307 677 individuals (8899 ischemic stroke cases) with measured weight and height at ages 7 to 13 years. The dates of the analysis were September 1, 2015, to May 27, 2016. Childhood BMI, change in BMI, and birth weight. Ischemic stroke events were divided into early (≤55 years) or late (>55 years) age at diagnosis. The study cohort comprised 307 677 participants (approximately 49% female and 51% male). During the study period, 3529 women and 5370 men experienced an ischemic stroke. At all ages from 7 to 13 years, an above-average BMI z score was positively associated with early ischemic stroke. At age 13 years, a BMI z score of 1 was associated with hazard ratios (HRs) of 1.26 (95% CI, 1.11-1.43) in women and 1.21 (95% CI, 1.10-1.33) in men. No significant associations were found for below-average BMI z scores. Among children with above-average BMI z scores at age 7 years, a score increase of 0.5 from ages 7 to 13 years was positively associated with early ischemic stroke in women (HR, 1.10; 95% CI, 1.01-1.20) and in men (HR, 1.08; 95% CI, 1.00-1.16). Similarly, among children with below-average BMI z scores at age 7 years, a score increase of 0.5 from ages 7 to 13 years was positively associated with early ischemic stroke in women (HR, 1.14; 95% CI, 1.06-1.23) and in men (HR, 1.10; 95% CI, 1.04-1.18). Adjusting for birth weight minimally affected the associations. Independent of birth weight, above

  7. Can lifestyle factors explain why body mass index and waist-to-hip ratio increase with increasing tobacco consumption? The Inter99 study

    DEFF Research Database (Denmark)

    Pisinger, C; Toft, U; Jørgensen, Torben

    2009-01-01

    BACKGROUND: The relationship between smoking, lifestyle, and weight, body mass index (BMI) and waist-to-hip ratio (WH ratio) is complex, and not fully understood. METHODS: In total, 6784 subjects (2408 daily smokers) were included in a population-based study (the Inter99 study) in Denmark. Weight...... consumption, but these factors did largely explain the increasing WH ratio. The relationship between BMI and tobacco consumption is complex, and the public needs to be informed that smoking is not a 'diet'.......BACKGROUND: The relationship between smoking, lifestyle, and weight, body mass index (BMI) and waist-to-hip ratio (WH ratio) is complex, and not fully understood. METHODS: In total, 6784 subjects (2408 daily smokers) were included in a population-based study (the Inter99 study) in Denmark. Weight...... by sociodemographic factors, rather than lifestyle factors. However, neither sociodemographic nor lifestyle factors could fully explain the increased BMI associated with heavier smoking. CONCLUSIONS: Sociodemographic and lifestyle factors could not fully explain why BMI increased with increasing daily tobacco...

  8. Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokers

    DEFF Research Database (Denmark)

    Taylor, Amy E; Morris, Richard W; Fluharty, Meg E

    2014-01-01

    in a larger sample we found that this SNP is associated with 0.74% lower body mass index (BMI) per minor allele in current smokers (95% CI -0.97 to -0.51, P = 2.00 × 10(-10)), but also unexpectedly found that it was associated with 0.35% higher BMI in never smokers (95% CI +0.18 to +0.52, P = 6.38 × 10...... in an unstratified genome-wide association study of BMI, given the opposite association with BMI in never and current smokers. This demonstrates that novel associations may be obscured by hidden population sub-structure. Stratification on well-characterized environmental factors known to impact on health outcomes......We previously used a single nucleotide polymorphism (SNP) in the CHRNA5-A3-B4 gene cluster associated with heaviness of smoking within smokers to confirm the causal effect of smoking in reducing body mass index (BMI) in a Mendelian randomisation analysis. While seeking to extend these findings...

  9. University Students Meeting the Recommended Standards of Physical Activity and Body Mass Index

    Science.gov (United States)

    Deng, Xiaofen; Castelli, Darla; Castro-Pinero, Jose; Guan, Hongwei

    2011-01-01

    This study investigated student physical activity (PA) and body mass index (BMI) in relation to the "Healthy Campus 2010" objectives set by the American College Health Association in 2002. Students (N = 1125) at a U.S. southern state university participated in the study. The percentages of students who were physically active and whose…

  10. 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.

  11. Body mass index and economic productivity.

    Science.gov (United States)

    Kennedy, E; Garcia, M

    1994-11-01

    The paper reviews the evidence to date on the nutritional links with productivity and then goes on to provide results from a multi-country study on the effects of increasing body mass index (BMI) on productivity. The research relating nutritional status to work capacity is more consistent than the research linking nutritional status to productivity. None of the studies to date elucidate the pathways through which improved nutrition improves economic productivity. In addition, many of the studies that have been conducted on the nutrition/wage links have been based on samples that contained a disproportionate number of male subjects. The few studies that have disaggregated data by gender report different results for men and women. Research conducted at IFPRI is presented to examine the trends in BMI for men and women across countries and for Kenya to examine the relationships between various measures of nutritional status--BMI and height--and energy expenditures in women. BMIs of men show a more consistent relationship with increasing household income than do the BMIs of women. In the case of the Gambia and Kenya, the mean BMI of women decreases with increasing household income. One reason for the apparently low response of BMI to increasing household income in Kenya is the time allocation patterns of women. Women in the Kenya sample spend the largest proportion of their day in home production activities which are energy intensive. In examining the relationship between nutritional indicators and the time devoted to work, the results suggest a significant, positive association between both BMI and height and the amount of time devoted to work. In the models presented, both BMI and height appear to increase the capacity to carry out work. It is difficult to value much of this work time since a disproportionate share is devoted to home production activities. Some of the more classic methods of measuring economic productivity, such as measuring wage rates, are not

  12. Alterations of body mass index and body composition in atomic bomb survivors.

    Science.gov (United States)

    Tatsukawa, Y; Misumi, M; Yamada, M; Masunari, N; Oyama, H; Nakanishi, S; Fukunaga, M; Fujiwara, S

    2013-08-01

    Obesity, underweight, sarcopenia and excess accumulation of abdominal fat are associated with a risk of death and adverse health outcomes. Our aim was to determine whether body mass index (BMI) and body composition, assessed with dual-energy X-ray absorptiometry (DXA), are associated with radiation exposure among atomic bomb (A-bomb) survivors. This was a cross-sectional study conducted in the Adult Health Study of the Radiation Effects Research Foundation. We examined 2686 subjects (834 men and 1852 women), aged 48-89 years (0-40 years at A-bomb exposure), for BMI analysis. Among them, 550 men and 1179 women underwent DXA in 1994-1996 and were eligible for a body composition study. After being adjusted for age and other potential confounding factors, A-bomb radiation dose was associated significantly and negatively with BMI in both sexes (P=0.01 in men, P=0.03 in women) and appendicular lean mass (Pbomb radiation exposure. We will need to conduct further studies to evaluate whether these alterations affect health status.

  13. Skinfold thickness, body fat percentage and body mass index in obese and non-obese Indian boys.

    Science.gov (United States)

    Chatterjee, Satipati; Chatterjee, Pratima; Bandyopadhyay, Amit

    2006-01-01

    Childhood obesity is presently increasing worldwide and has created enormous concern for researchers working in the field of obesity related diseases with special interest in child health and development. Selected anthropometric measurements including stature, body mass, and skinfolds are globally accepted sensitive indicators of growth patterns and health status of a child. The present study was therefore aimed not only at evaluating the body mass index (BMI), skinfolds, body fat percentage (%fat) in obese school going boys of West Bengal, India, but also aimed to compare these data with their non-obese counterparts. Ten to sixteen year old obese boys (N = 158) were separated from their non-obese counterparts using the age-wise international cut-off points of BMI. Skinfolds were measured using skinfold calipers, BMI and %fat were calculated from standard equations. Body mass, BMI, skinfolds and %fat were significantly (Pimportance in order to identify or categorize obese boys, and to take preventative steps to minimise serious health problems that appear during the later part of life.

  14. Dietary Patterns and Body Mass Index in Children with Autism and Typically Developing Children

    Science.gov (United States)

    Evans, E. Whitney; Must, Aviva; Anderson, Sarah E.; Curtin, Carol; Scampini, Renee; Maslin, Melissa; Bandini, Linda

    2012-01-01

    To determine whether dietary patterns (juice and sweetened non-dairy beverages, fruits, vegetables, fruits and vegetables, snack foods, and kid's meals) and associations between dietary patterns and body mass index (BMI) differed between 53 children with autism spectrum disorders (ASD) and 58 typically developing children, ages 3-11, multivariate…

  15. 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

    2011-08-01

    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 suburban, rural, and urban public elementary schools. This descriptive study used focus groups with 25 school nurses in 3 geographic regions of Ohio. An adapted Healthy People 2010 model guided the development of semistructured focus group questions. Nine regional themes related to BMI screening emerged specific to suburban, rural, and/or urban school nurses' experiences with BMI screening practice, policy, school physical environment, school social environment, school risk/protection, and access to quality health care. Key facilitating factors to BMI screening varied by region. Key barriers to BMI screening were a lack of privacy, time, policy, and workload of school nurses. Regionally specific facilitating factors to BMI screening in schools provide opportunities for schools to accentuate the positive and to promote school health. © 2011, American School Health Association.

  16. 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…

  17. Mid-upper arm circumference: A surrogate for body mass index in pregnant women

    Directory of Open Access Journals (Sweden)

    Ahminah Fakier

    2017-07-01

    Full Text Available Background. Nutrition in pregnancy has implications for both mother and fetus, hence the importance of an accurate assessment at the booking visit during antenatal care. The body mass index (BMI, kg/m2 is currently the gold standard for measuring body fatness. However, pregnancy-associated weight gain and oedema, as well as late booking in our population setting, cause concern about the reliability of using the BMI to assess body fat or nutritional status in pregnancy. The mid-upper arm circumference (MUAC has been used for many decades to assess malnutrition in children aged 30 and malnutrition (BMI <18.5 were calculated as 30.57 cm and 22.8 cm, respectively. Conclusion. MUAC correlates strongly with BMI in pregnancy up to a gestation of 30 weeks in women attending Metro West maternity services. In low-resource settings, the simpler MUAC measurement could reliably be substituted for BMI to assess nutritional status.

  18. Association between body mass index and response to a brief interdisciplinary treatment program in fibromyalgia.

    Science.gov (United States)

    Kim, Chul-Hyun; Luedtke, Connie A; Vincent, Ann; Thompson, Jeffrey M; Oh, Terry H

    2012-07-01

    The aim of this study was to evaluate the association between baseline body mass index (BMI) and treatment outcome after a brief interdisciplinary fibromyalgia treatment program. Subjects (n = 477) with fibromyalgia participated in the fibromyalgia treatment program. They completed the Fibromyalgia Impact Questionnaire (FIQ) and the Short Form-36 Health Status Questionnaire (SF-36) at baseline and 6 to 12 mos after the fibromyalgia treatment program. Posttreatment changes in FIQ and SF-36 scores were compared after stratifying participants into four BMI groups: nonobese, overweight, moderately obese, and severely obese. All BMI groups achieved significant improvement in the FIQ total score; the FIQ subscales feel good, pain, fatigue, and morning tiredness; and the SF-36 subscales pain index, vitality, social functioning, and mental health index. Posttreatment changes in mean scores for each subscale generally did not differ significantly across BMI groups after adjusting for age and baseline scores. However, the SF-36 subscale scores of physical functioning and role-emotional were significantly less improved in the severely obese compared with the nonobese. Baseline BMI did not affect response to the fibromyalgia treatment program, as measured by the FIQ total score or SF-36 physical and mental component summary scores. However, the severely obese group showed less improvement compared with the nonobese group in the SF-36 physical functioning and role-emotional subscales.

  19. Body mass index and risk of BPH: a meta-analysis.

    Science.gov (United States)

    Wang, S; Mao, Q; Lin, Y; Wu, J; Wang, X; Zheng, X; Xie, L

    2012-09-01

    Epidemiological studies have reported conflicting results relating obesity to BPH. A meta-analysis of cohort and case-control studies was conducted to pool the risk estimates of the association between obesity and BPH. Eligible studies were retrieved by both computer searches and review of references. We analyzed abstracted data with random effects models to obtain the summary risk estimates. Dose-response meta-analysis was performed for studies reporting categorical risk estimates for a series of exposure levels. A total of 19 studies met the inclusion criteria of the meta-analysis. Positive association with body mass index (BMI) was observed in BPH and lower urinary tract symptoms (LUTS) combined group (odds ratio=1.27, 95% confidence intervals 1.05-1.53). In subgroup analysis, BMI exhibited a positive dose-response relationship with BPH/LUTS in population-based case-control studies and a marginal positive association was observed between risk of BPH and increased BMI. However, no association between BPH/LUTS and BMI was observed in other subgroups stratified by study design, geographical region or primary outcome. The overall current literatures suggested that BMI was associated with increased risk of BPH. Further efforts should be made to confirm these findings and clarify the underlying biological mechanisms.

  20. Parenting styles and body mass index trajectories from adolescence to adulthood.

    Science.gov (United States)

    Fuemmeler, Bernard F; Yang, Chongming; Costanzo, Phil; Hoyle, Rick H; Siegler, Ilene C; Williams, Redford B; Ostbye, Truls

    2012-07-01

    Parenting styles such as authoritarian, disengaged, or permissive are thought to be associated with greater adolescent obesity risk than an authoritative style. This study assessed the relationship between parenting styles and changes in body mass index (BMI) from adolescence to young adulthood. The study included self-reported data from adolescents in the National Longitudinal Study of Adolescent Health. Factor mixture modeling, a data-driven approach, was used to classify participants into parenting style groups based on measures of acceptance and control. Latent growth modeling (LGM) identified patterns of developmental changes in BMI. After a number of potential confounders were controlled for, parenting style variables were entered as predictors of BMI trajectories. Analyses were also conducted for male and female individuals of 3 racial-ethnic groups (Hispanic, black, white) to assess whether parenting styles were differentially associated with BMI trajectories in these 6 groups. Parenting styles were classified into 4 groups: authoritarian, disengaged, permissive, and balanced. Compared with the balanced parenting style, authoritarian and disengaged parenting styles were associated with a less steep average BMI increase (linear slope) over time, but also less leveling off (quadratic) of BMI over time. Differences in BMI trajectories were observed for various genders and races, but the differences did not reach statistical significance. Adolescents who reported having parents with authoritarian or disengaged parenting styles had greater increases in BMI as they transitioned to young adulthood despite having a lower BMI trajectory through adolescence.

  1. Parenting Styles and Body Mass Index Trajectories From Adolescence to Adulthood

    Science.gov (United States)

    Fuemmeler, Bernard F.; Yang, Chongming; Costanzo, Phil; Hoyle, Rick H.; Ph.D.; Siegler, Ilene C.; Williams, Redford B.; Østbye, Truls

    2013-01-01

    Objective Parenting styles such as authoritarian, disengaged, or permissive are thought to be associated with greater adolescent obesity risk than an authoritative style. This study assessed the relationship between parenting styles and changes in body mass index (BMI) from adolescence to young adulthood. Methods The study included self-reported data from adolescents in the National Longitudinal Study of Adolescent Health. Factor mixture modeling, a data-driven approach, was used to classify participants into parenting style groups based on measures of acceptance and control. Latent growth modeling (LGM) identified patterns of developmental changes in BMI. After a number of potential cofounders were controlled for, parenting style variables were entered as predictors of BMI trajectories. Analyses were also conducted for males and females of three racial/ethnic groups (Hispanic, black, white) to assess whether parenting styles were differentially associated with BMI trajectories in these 6 groups. Results Parenting styles were classified into 4 groups: authoritarian, disengaged, permissive, and balanced. Compared with the balanced parenting style, authoritarian and disengaged parenting styles were associated with a less steep average BMI increase (linear slope) over time, but also less leveling off (quadratic) of BMI over time. Differences in BMI trajectories were observed for various genders and races, but the differences did not reach statistical significance. Conclusions Adolescents who reported having parents with authoritarian or disengaged parenting styles had greater increases in BMI as they transitioned to young adulthood despite having a lower BMI trajectory through adolescence. PMID:22545979

  2. 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...... 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...... 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...

  3. The genetic architecture of body mass index from infancy to adulthood modified by parental education

    NARCIS (Netherlands)

    Silventoinen, K.; Huppertz, C.; van Beijsterveldt, C.E.M.; Bartels, M.; Willemsen, G.; Boomsma, D.I.

    2016-01-01

    Objective: A higher prevalence of obesity in lower socioeconomic classes is common in Western societies. This study examined the role of gene–environment interactions in the association between parental education and body mass index (BMI) from infancy to the onset of adulthood. Methods: Parentally

  4. Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort.

    NARCIS (Netherlands)

    Carayol, Marion; Leitzmann, Michael F; Ferrari, Pietro; Zamora-Ros, Raul; Achaintre, David; Stepien, Magdalena; Schmidt, Julie A; Travis, Ruth C; Overvad, Kim; Tjønneland, Anne; Hansen, Louise; Kaaks, Rudolf; Kühn, Tilman; Boeing, Heiner; Bachlechner, Ursula; Trichopoulou, Antonia; Bamia, Christina; Palli, Domenico; Agnoli, Claudia; Tumino, Rosario; Vineis, Paolo; Panico, Salvatore; Quirós, J Ramón; Sánchez-Cantalejo, Emilio; Huerta, José María; Ardanaz, Eva; Arriola, Larraitz; Agudo, Antonio; Nilsson, Jan; Melander, Olle; Bueno-de-Mesquita, Bas; Peeters, Petra H; Wareham, Nick; Khaw, Kay-Tee; Jenab, Mazda; Key, Timothy J; Scalbert, Augustin; Rinaldi, Sabina

    2017-01-01

    Metabolomics is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective

  5. Prognostic value of body mass index before treatment for laryngeal squamous cell carcinoma

    International Nuclear Information System (INIS)

    Li, Zhao-Qu; Zou, Lan; Liu, Tian-Run; Yang, An-Kui

    2015-01-01

    Patients with head and neck cancer often suffer from malnutrition. This study aims to investigate the influence of body mass index (BMI) on the prognosis of laryngeal squamous cell carcinoma (LSCC). A total of 473 patients with LSCC initially treated at Sun Yat-sen University Cancer Center between January 2005 and July 2009 were retrospectively reviewed. Survival analysis was performed by the Kaplan-Meier method and Cox regression model. Low BMI before treatment was significantly associated with poor overall survival in patients with LSCC (P<0.001). BMI was an independent prognostic factor for patients with LSCC. Leanness before treatment was associated with poor prognosis in patients with LSCC. Good nutritional status is favorable to improve survival in patients with LSCC

  6. Global educational disparities in the associations between body mass index and diabetes mellitus in 49 low-income and middle-income countries

    NARCIS (Netherlands)

    Wang, Aolin; Stronks, Karien; Arah, Onyebuchi A.

    2014-01-01

    Despite the well-established link between body mass index (BMI) and diabetes mellitus (DM), it remains unclear whether this association is more pronounced at certain levels of education. This study assessed the modifying effect of educational attainment on the associations between BMI and DM-as well

  7. Osteocalcin is independently associated with body mass index in adolescent girls.

    Science.gov (United States)

    Dubnov-Raz, G; Ish-Shalom, S; Chodick, G; Rozen, G S; Giladi, A; Constantini, N W

    2012-08-01

    Osteocalcin is a bone-related protein, recently found to correlate with body mass index (BMI), waist circumference, fat percentage and metabolic syndrome in adults. The aim of this study was to determine the relationship between osteocalcin and BMI in adolescence, a time of significant bone accrual, while considering possible confounders related to bone and body composition. We analyzed data from 160 female adolescents (mean age 15.1 ± 0.7 years), which were divided into tertiles by osteocalcin levels. Across these three groups, we examined the differences in BMI with relation to age, total daily energy intake, calcium intake, physical activity (PA), total body bone mineral density, parathyroid hormone (PTH), 25(OH)-vitamin D, bone alkaline phosphatase and body fat percentage. Mean BMI values differed significantly between participants in the three osteocalcin tertiles, including after adjustment for age, PA, PTH, energy and calcium intakes. Post-hoc analysis revealed that girls in the highest osteocalcin tertile, had a significantly lower BMI than those in the two lower ones (19.3 ± 2.2 vs. 20.6 ± 3.0 and 20.7 ± 2.9 kg m(-2), respectively, P = 0.018). There was no significant difference in energy and calcium intakes, bone mineral density, 25(OH)-vitamin D levels and PTH between study groups. In female adolescents, BMI is inversely related to osteocalcin, even after consideration of several factors that may affect bone and fat mass. As bone mineral density, 25(OH)D and PTH did not differ between groups, it is possible that the relation between osteocalcin and BMI could be unrelated to bone tissue itself. © 2012 The Authors. Pediatric Obesity © 2012 International Association for the Study of Obesity.

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

    Directory of Open Access Journals (Sweden)

    Michael F Leitzmann

    2011-04-01

    Full Text Available Whether waist circumference provides clinically meaningful information not delivered by body-mass index regarding prediction of cause-specific death is uncertain.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.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.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.

  9. Correlation of Index Finger Length (2D with Height, Weight and BMI in Adult Bangladeshi Male

    Directory of Open Access Journals (Sweden)

    Karim Rezwan Hasan

    2017-05-01

    Full Text Available Background: Human hand is one of the most versatile parts of the human body which plays an important role in modern medical science and evolutionary biology. By virtue of evolution and genetic arrangements, digital lengths vary from person to person according to age, sex, races, occupation or even environmental influences. It has been found that the digital lengths and their ratios are not same in different sexes and even in both hands of same individual. Specially, index to ring digit lengths and their ratios which already have been proved to represent sexual dimorphism may differ in both hands of an individual and show positive correlations with other morphological attributes like height, weight and BMI. Objectives: To analyze the variation of index finger (2D length and its correlation with height, weight and BMI in adult Bangladeshi male. Materials and Methods: This cross-sectional analytical study was conducted in the department of Anatomy, Dhaka Medical College, Dhaka from July 2012 to June 2013 on 100 male MBBS students (20−25 years of age. With the help of digital vernier caliper measurements of index finger length (2D was recorded. Height and weight were measured by the stadiometer and weighing scale respectively. BMI was calculated from height and weight. Pearson’s correlation analysis was done to find out the correlation of index finger length with height, weight and BMI. Results: Significant correlation has been found between the lengths of index fingers (2D and height (p0.05. Conclusion: In this study, we found variation in index finger lengths of both hands of Bangladeshi male subjects, which needs further study and comparison.

  10. The relationship between flat feet and cavus foot with body mass index in girl students

    Directory of Open Access Journals (Sweden)

    Behnaz Hajirezaei

    2017-10-01

    Full Text Available Background and Aims: The aim of this study was to investigate the relationship between flat feet and cavus foot with body mass index in girl students. Methods: The study population consisted of the Mazandaran University students that their number was 260 (130 girl college students and 130 girl students of non-physical education formed. Sampling of participants over the two days. Height and weight of the subjects were measured, then they were placed on a mirror box and were taken the photographs of the Plantar foot. for picture Plantar foot was used of the mirror box (pedescope. data analyzed by Pearson and Spearman correlation coefficient. Results: The results of Pearson correlation coefficient test in physical education subjects showed there was no relationship the between BMI and flat feet (0.306. Also, the relationship between BMI and cavus foot was significant and direct (0.330. The results of Spearman correlation coefficient test in physical education subjects showed that the relationship between BMI and flat feet was significant (0.457. Also, there was no relationship between BMI and cavus foot (-0.026. The results in non-physical education subjects showed the relationship between BMI and flat feet was significant, but was in the opposite direction (-0.493. Also, the relationship between BMI and cavus foot was significant and direct (0.424. The results of Spearman correlation test showed that the relationship and flat feet was significant but was in the opposite direction (-0.648. Also, the relationship between BMI and cavus foot was significant (0.413. Conclusion: According to the results of this study, it seems to there was no relationship between flat feet and cavus foot with body mass index in girl students.

  11. Body Mass Index Trajectories and Healthcare Utilization in Young and Middle-aged Adults.

    Science.gov (United States)

    Elrashidi, Muhamad Y; Jacobson, Debra J; St Sauver, Jennifer; Fan, Chun; Lynch, Brian A; Rutten, Lila J Finney; Ebbert, Jon O

    2016-01-01

    The obesity epidemic is a significant public health issue with adverse impact on health and costs. Applying a life-course perspective to obesity may advance our understanding of the influence of obesity over time on patterns of healthcare utilization in young and middle-aged United States (US) adults.We identified baseline body mass index (BMI) and BMI trajectories, and assessed their association with outpatient visits, emergency department (ED) visits, and hospitalizations in a well-defined population of young and middle-aged US adults.Using the Rochester Epidemiology Project resources, we conducted a retrospective cohort study of adults (N = 23,254) aged 18 to 44 years, with at least 3 BMI measurements, residing in Olmsted County, MN from January 1, 2005 through December 31, 2012.We observed that 27.5% of the population was obese. Four BMI trajectories were identified. Compared to under/normal weight, obese class III adults had higher risk of outpatient visits (adjusted rate ratio [RR], 1.86; 95% confidence intervals [CIs], 1.67-2,08), ED visits (adjusted RR, 3.02; 95% CI, 2.74-3.34), and hospitalizations (adjusted RR, 1.67; 95% CI, 1.59-1.75). BMI trajectory was positively associated with ED visits after adjustment for age, sex, race, and Charlson Comorbidity Index (P young and middle-aged US adults, baseline BMI is positively associated with outpatient visits, ED visits, and hospitalizations, while BMI trajectory is positively associated with ED visits. These findings extend our understanding of the longitudinal influence of obesity on healthcare utilization in early to mid-adulthood.

  12. The Impact of Body Mass Index on Oral Hygiene Practices of Adolescents in Bhopal City, India

    International Nuclear Information System (INIS)

    Santha, B.; Sudheer, H.; Saxena, V.; Jain, M.; Tiwari, V.

    2016-01-01

    Objective: To assess the impact of Body Mass Index (BMI) on oral hygiene practices of adolescents in Bhopal City, India. Study Design: Cross-sectional study. Place and Duration of Study: Arts College, Bhopal, from February to March 2014. Methodology: A convenience sample of 17 - 23 years college-going adolescents from Arts College, Bhopal city was selected for the study. Self-reported questionnaire for adolescents to assess BMI and oral hygiene attitude, knowledge and practices was used. Descriptive statistics and chi-square test were applied. Results: Out of the total study population, 53.54 percent (n=166) were males and 46.45 percent (n=144) were females. Two hundred and six (66.45 percent) were of optimal weight, 27.74 percent (n=86) were underweight and only 4.52 percent (n=14) were overweight. There was a significant association between BMI and oral hygiene practice of tooth brushing (p < 0.001) and mouth rinsing (p=0.001) among both male and female subjects. Conclusion: Hence, BMI is significantly associated with the oral hygiene practices of adolescent population. There is growing interest in the relationship between BMI and oral health because both are significant public health concerns. These public health problems are related to common lifestyle factors such as unhealthy eating habits and smoking among children. These maladapted habits track into later life as predictors of increased BMI and oral health problems. Hence, it is required that the dentists are aware of the influence of body mass index and lifestyle on oral health practices among children and adolescents. (author)

  13. Body mass index and its effect on serum cortisol level.

    Science.gov (United States)

    Odeniyi, I A; Fasanmade, O A; Ogbera, A O; Ohwovoriole, A E

    2015-01-01

    Cortisol measurement is indicated in suspected over or under production of cortisol by the adrenal cortex. The finding of low cortisol can create concern and initiate further investigations for the exclusion of adrenal insufficiency. Cushing's syndrome is frequently included in the differential diagnosis of obesity. Some literature describes reduced serum cortisol levels in obesity, however, this is not a well-recognized phenomenon. The aim of this study was to determine the relationship between body mass index (BMI) and serum cortisol levels. Seventy healthy participants agreed to take part in the study. The anthropometric measurements (weight, height, and waist and hip circumferences) were done. Exclusion criteria include those with a history of adrenal/pituitary disease or medications altering cortisol level. The basal cortisol (BC) sample was taken at 8 a.m. immediately before administration of an intravenous bolus injection of 250 μg adrenocorticotropic hormone (ACTH). BMI categories were defined as normal and high if BMI was 18.5-24.99 kg/m² and ≥ 25 kg/m², respectively. Forty (57.1%) participants had normal BMI while 30 (42.9%) participants had BMI ≥ 25 kg/m² (P0 = 0.053). The mean BC level was lower in participants with BMI ≥ 25 kg/m² but not significant. There was a negative correlation between BMI and BC level ( r = -0.205, P = 0.88) while a positive correlation existed between stimulated cortisol level and BMI (r = 0.009, P = 0.944). Persons with BMI above 25 kg/m² had lower BC level though not statistically significant, the trend was noticed. Subjecting people whose BMI is above 25 kg/m² to further stimulation with ACTH because of low BC is not advised because their response to ACTH stimulation was similar to those who have normal BMI.

  14. Correlations between serum cortisol and body mass index at old patients under balnear treatment

    Directory of Open Access Journals (Sweden)

    Stanciu Liliana Elena

    2017-08-01

    Full Text Available Introduction. Glucocorticoids provide a significant resource of scientific progress in medical research, being studied in terms of molecules, genetics, physiopathology at the level of the human body, starting from animal models, with valuable recent discoveries regarding their implications in the human psychic level, stress reaction and the search of new possible therapeutic effects unknown until now. Our work are illustrated the correlations between serum cortisol and body mass index - BMI at old patients under balneal treatment with natural factors from Techirghiol lake. Material and methods. The study monitored 52 patients admitted in Balneal and Recovery Sanatorium of Techirghiol for complex balneal treatment, using mud baths (cold or warm, and physical treatments. The patients were grouped in two batches: batch of cold baths with mud- CMB (15 patients, 28.8%, 6 men and 9 women and batch of warm baths with mud-WMB (37 patients, 71.2%, 19 man and 18 women. The following issues were statistically analysed: BMI, respectively serum cortisol value variation for each batch studied, both at the time of admission and at the time of discharge; comparative analysis between the two moments for each batch; and the comparative analysis between the two study batches at the time of admission, respectively discharge and the BMI value variation in statistical relation with the serum cortisol values for each batch studies at the time of admission and at the time of discharge. Results. From statistical analysis of the correlation between the body mass index (BMI of patients included in research in the CMB batch at admission and discharge according to the variations of the serum cortisol level , the two variables (Serum cortisol / BMI both at admission and discharge are not correlated (r = -0.366; p = 0.180 > α = 0.05; r = -0.035; p = 0.901 > α = 0.05. Also, from statistical analysis of the correlation between the body mass index (BMI of patients included in

  15. Prediction of Mortality with A Body Shape Index in Young Asians: Comparison with Body Mass Index and Waist Circumference.

    Science.gov (United States)

    Lee, Da-Young; Lee, Mi-Yeon; Sung, Ki-Chul

    2018-06-01

    This paper investigated the impact of A Body Shape Index (ABSI) on the risk of all-cause mortality compared with the impact of waist circumference (WC) and body mass index (BMI). This paper reviewed data of 213,569 Korean adults who participated in health checkups between 2002 and 2012 at Kangbuk Samsung Hospital in Seoul, Korea. A multivariate Cox proportional hazard analysis was performed on the BMI, WC, and ABSI z score continuous variables as well as quintiles. During 1,168,668.7 person-years, 1,107 deaths occurred. As continuous variables, a significant positive relationship with the risk of all-cause death was found only in ABSI z scores after adjustment for age, sex, current smoking, alcohol consumption, regular exercise, presence of diabetes or hypertension, and history of cardiovascular diseases. In Cox analysis of quintiles, quintile 5 of the ABSI z score showed significantly increased hazard ratios (HRs) for mortality risk (HR [95% CI] was 1.32 [1.05-1.66]), whereas the risk for all-cause mortality, on the other hand, decreased in quintiles 3 through 5 of BMI and WC compared with their first quintiles after adjusting for several confounders. This study showed that the predictive value of ABSI for mortality risk was strong for a sample of young Asian participants and that its usefulness was better than BMI or WC. © 2018 The Obesity Society.

  16. Association of waist circumference, body mass index and conicity index with cardiovascular risk factors in postmenopausal women.

    Science.gov (United States)

    Shidfar, Farzad; Alborzi, Fatemeh; Salehi, Maryam; Nojomi, Marzieh

    2012-09-01

    In menopause, changes in body fat distribution lead to increasing risk of cardiovascular disease and metabolic disorders. The aim of this study was to assess the association of adiposity using the conicity index (CI), body mass index (BMI) and waist circumference (WC) with cardiovascular risk factors (hypertension, diabetes and dyslipidaemia). The sample of this cross-sectional study was collected from June to October 2010 and 165 consecutive menopausal women who had attended the Health and Treatment Centre and Endocrine Research Centre of Firoozgar Hospital in Tehran, Iran were assessed. Age, weight, height, WC, waist-hip ratio (WHR), CI and fat mass were measured. Systolic and diastolic blood pressure (SBP and DBP), fasting blood glucose, insulin, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and total cholesterol (TC) levels were also determined. All statistical analyses were performed by SPSS version 17 (SPSS Inc, Chicago, IL, USA). Results showed that BMI was positively and significantly associated with SBP (r = 0.21; p = 0.009). WC was positively and significantly correlated with SBP (r = 0.26; p = 0.02) and DBP (r = 0.16; p = 0.05). WHR was also significantly and positively associated with SBP (r = 0.29; p = 0.001). Age and WC were associated with CI quartiles at the 0.05 significance level. The correlation of CI quartiles with SBP and weight were at the 0.01 significance level. We showed a significant association of WC with SBP and DBP, and that BMI could be an important determining factor of SBP. For assessing the association between CI and cardiovascular risk factors, future studies with larger sample sizes are recommended.

  17. Should Schools Send BMI Report Cards to Parents? A Review of Literature

    Science.gov (United States)

    Henningsen, Alexander; Boros, Piroska; Ingvalson, Kent; Fontana, Fabio E.; Matvienko, Oksana

    2015-01-01

    A body mass index (BMI) report card is a tool to inform parents about their child's weight status. Body mass index notifications could curb childhood obesity by prompting parents to encourage their children to be more physically active and make better dietary choices, but they could also lower children's self-esteem and increase weight-related…

  18. The mediating role of social capital in the association between neighbourhood income inequality and body mass index

    OpenAIRE

    Lakerveld, Jeroen; van Oostveen, Yavanna; Compernolle, Sofie; De Bourdeaudhuij, Ilse; Bardos, Helga; Rutter, Harry; Glonti, Ketevan; Oppert, Jean-Michel; Charreire, Hélène; Brug, Johannes; Nijpels, Giel

    2017-01-01

    Background: Neighbourhood income inequality may contribute to differences in body weight. We explored whether neighbourhood social capital mediated the association of neighbourhood income inequality with individual body mass index (BMI). Methods: A total of 4126 adult participants from 48 neighbourhoods in France, Hungary, the Netherlands and the UK provided information on their levels of income, perceptions of neighbourhood social capital and BMI. Factor analysis of the 13-item social capita...

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    van Santen, Hanneke M; 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

    2015-12-01

    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. The goal of this study was to examine BMI in a large cohort of long-term CCSs and relate this to the BMI at diagnosis, age, sex, tumor type, treatment, and endocrine defects. All patients treated for childhood cancer at the Emma Children's Hospital/Academic Medical Center between 1966 and 1996 who had survived for at least 5 years were eligible for inclusion. For 893 CCSs with a mean follow-up of 14.9 years, the BMI at the late effects outpatient clinic was compared with the BMI for the general Dutch population. For girls, an increased prevalence of obesity was found. Risk factors for developing a high BMI at follow-up were a younger age and a high BMI at diagnosis and treatment with cranial radiotherapy. A significantly increased prevalence of severe underweight was found in all adult subgroups except for females aged 26 to 45 years. An association was found between a low BMI at diagnosis and a low BMI at follow-up. No treatment-related variables could be related to changes in BMI. The BMI at diagnosis is one of the most important predictors for the BMI at follow-up, and this suggests an important genetic or environmental cause. Adult CCSs are at high risk for developing severe underweight at follow-up. Future studies should focus on the causes and clinical consequences of underweight. © 2015 American Cancer Society.

  1. 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.

  2. 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.

  3. Body mass index trajectories from 2 to 18 years - exploring differences between European cohorts

    DEFF Research Database (Denmark)

    Graversen, L; Howe, L D; Sørensen, T I A

    2017-01-01

    BACKGROUND: In recent decades, there has been an increase in the prevalence of childhood overweight in most high-income countries. Within northern Europe, prevalence tends to be higher in the UK compared with the Scandinavian countries. We aimed to study differences in body mass index (BMI) traje...

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

    Directory of Open Access Journals (Sweden)

    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.

  5. Sources of variation in estimates of lean body mass by creatinine kinetics and by methods based on body water or body mass index in patients on continuous peritoneal dialysis.

    Science.gov (United States)

    Tzamaloukas, Antonios H; Murata, Glen H; Piraino, Beth; Raj, Dominic S C; VanderJagt, Dorothy J; Bernardini, Judith; Servilla, Karen S; Sun, Yijuan; Glew, Robert H; Oreopoulos, Dimitrios G

    2010-03-01

    We identified factors that account for differences between lean body mass computed from creatinine kinetics (LBM(cr)) and from either body water (LBM(V)) or body mass index (LBM(BMI)) in patients on continuous peritoneal dialysis (CPD). We compared the LBM(cr) and LBM(V) or LBM(BMI) in hypothetical subjects and actual CPD patients. We studied 439 CPD patients in Albuquerque, Pittsburgh, and Toronto, with 925 clearance studies. Creatinine production was estimated using formulas derived in CPD patients. Body water (V) was estimated from anthropometric formulas. We calculated LBM(BMI) from a formula that estimates body composition based on body mass index. In hypothetical subjects, LBM values were calculated by varying the determinants of body composition (gender, diabetic status, age, weight, and height) one at a time, while the other determinants were kept constant. In actual CPD patients, multiple linear regression and logistic regression were used to identify factors associated with differences in the estimates of LBM (LBM(cr)LBM(V), or LBM(cr)LBM(BMI)). We sought predictors of the differences LBM(V) - LBM(cr) and LBM(BMI) - LBM(cr). Both LBM(V) (regardless of formula used to estimate V) and LBM(BMI) exceeded LBM(cr) in hypothetical subjects with average body compositions. The sources of differences between LBM estimates in this group involved differences in the coefficients assigned to gender, age, height, weight, presence or absence of diabetes, and serum creatinine concentration. In CPD patients, mean LBM(V) or LBM(BMI) exceeded mean LBM(cr) by 6.2 to 6.9 kg. For example, the LBM(V) obtained from one anthropometric formula was 50.4+/-10.4 kg and the LBM(cr) was 44.1+/-13.6 kg (P LBM(cr)>LBM(V). The differences in determinants of body composition between groups with high versus low LBM(cr) were similar in hypothetical and actual CPD patients. Multivariate analysis in actual CPD patients identified serum creatinine, height, age, gender, weight, and body mass

  6. The influence of body mass index and gender on the impact attenuation properties of flooring systems.

    Science.gov (United States)

    Bhan, Shivam; Levine, Iris; Laing, Andrew C

    2013-12-01

    The biomechanical effectiveness of safety floors has never been assessed during sideways falls with human volunteers. Furthermore, the influence of body mass index (BMI) and gender on the protective capacity of safety floors is unknown. The purpose of this study was to test whether safety floors provide greater impact attenuation compared with traditional flooring, and whether BMI and gender modify their impact attenuation properties. Thirty participants (7 men and 7 women of low BMI; 7 men and 9 women of high BMI) underwent lateral pelvis release trials on 2 common floors and 4 safety floors. As a group, the safety floors reduced peak force (by up to 11.7%), and increased the time to peak force (by up to 25.5%) compared with a traditional institutional grade floor. Force attenuation was significantly higher for the low BMI group, and for males. Force attenuation was greatest for the low BMI males, averaging 26.5% (SD = 3.0) across the safety floors. These findings demonstrate an overall protective effect of safety floors during lateral falls on the pelvis, but also suggest augmented benefits for frail older adults (often with low body mass) who are at an increased risk of hip fracture.

  7. Obesity is underestimated using body mass index and waist-hip ratio in long-term adult survivors of childhood cancer

    NARCIS (Netherlands)

    K. Blijdorp (Karin); M.M. van den Heuvel-Eibrink (Marry); R. Pieters (Rob); A.M. Boot (Annemieke); P.J.D. Delhanty (Patric); A-J. van der Lely (Aart-Jan); S.J.C.M.M. Neggers (Bas)

    2012-01-01

    textabstractObjective: Obesity, represented by high body mass index (BMI), is a major complication after treatment for childhood cancer. However, it has been shown that high total fat percentage and low lean body mass are more reliable predictors of cardiovascular morbidity. In this study

  8. Association between infancy BMI peak and body composition and blood pressure at age 5-6 years

    NARCIS (Netherlands)

    Hof, Michel H. P.; Vrijkotte, Tanja G. M.; de Hoog, Marieke L. A.; van Eijsden, Manon; Zwinderman, Aeilko H.

    2013-01-01

    The development of overweight is often measured with the body mass index (BMI). During childhood the BMI curve has two characteristic points: the adiposity rebound at 6 years and the BMI peak at 9 months of age. In this study, the associations between the BMI peak and body composition measures and

  9. 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…

  10. Is BMI a valid measure of obesity in postmenopausal women?

    Science.gov (United States)

    Banack, Hailey R; Wactawski-Wende, Jean; Hovey, Kathleen M; Stokes, Andrew

    2018-03-01

    Body mass index (BMI) is a widely used indicator of obesity status in clinical settings and population health research. However, there are concerns about the validity of BMI as a measure of obesity in postmenopausal women. Unlike BMI, which is an indirect measure of obesity and does not distinguish lean from fat mass, dual-energy x-ray absorptiometry (DXA) provides a direct measure of body fat and is considered a gold standard of adiposity measurement. The goal of this study is to examine the validity of using BMI to identify obesity in postmenopausal women relative to total body fat percent measured by DXA scan. Data from 1,329 postmenopausal women participating in the Buffalo OsteoPerio Study were used in this analysis. At baseline, women ranged in age from 53 to 85 years. Obesity was defined as BMI ≥ 30 kg/m and body fat percent (BF%) greater than 35%, 38%, or 40%. We calculated sensitivity, specificity, positive predictive value, and negative predictive value to evaluate the validity of BMI-defined obesity relative BF%. We further explored the validity of BMI relative to BF% using graphical tools, such as scatterplots and receiver-operating characteristic curves. Youden's J index was used to determine the empirical optimal BMI cut-point for each level of BF% defined obesity. The sensitivity of BMI-defined obesity was 32.4% for 35% body fat, 44.6% for 38% body fat, and 55.2% for 40% body fat. Corresponding specificity values were 99.3%, 97.1%, and 94.6%, respectively. The empirical optimal BMI cut-point to define obesity is 24.9 kg/m for 35% BF, 26.49 kg/m for 38% BF, and 27.05 kg/m for 40% BF according to the Youden's index. Results demonstrate that a BMI cut-point of 30 kg/m does not appear to be an appropriate indicator of true obesity status in postmenopausal women. Empirical estimates of the validity of BMI from this study may be used by other investigators to account for BMI-related misclassification in older women.

  11. Body Mass Index: Accounting for Full Time Sedentary Occupation and 24-Hr Self-Reported Time Use

    OpenAIRE

    Tudor-Locke, Catrine; Schuna, John M.; Katzmarzyk, Peter T.; Liu, Wei; Hamrick, Karen S.; Johnson, William D.

    2014-01-01

    Objectives We used linked existing data from the 2006–2008 American Time Use Survey (ATUS), the Current Population Survey (CPS, a federal survey that provides on-going U.S. vital statistics, including employment rates) and self-reported body mass index (BMI) to answer: How does BMI vary across full time occupations dichotomized as sedentary/non-sedentary, accounting for time spent in sleep, other sedentary behaviors, and light, moderate, and vigorous intensity activities? Methods We classifie...

  12. 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.

  13. Comparison of leucine and dispensable amino acid kinetics between Indian women with low or normal body mass indexes during pregnancy

    Science.gov (United States)

    Evidence suggests that in women with a normal to high body mass index (BMI; in kg/m(2)), the extra amino acids needed during pregnancy are met through reduced oxidation. It is not known whether a woman with a low BMI can make this adaptation successfully. The objective was to measure and compare leu...

  14. Obesity in young Dutch adults: II, daily life-style and body mass index.

    Science.gov (United States)

    Baecke, J A; Burema, J; Frijters, J E; Hautvast, J G; van der Wiel-Wetzels, W A

    1983-01-01

    The relationships between aspects of daily life-style and age, level of education, and body mass index (BMI; weight/height) were studied in young adult males (n = 1765) and females (n = 2092) in three age groups (19-21, 24-26 and 29-31 yr) in a Dutch population. By means of principal-components analysis five conceptually meaningful factors could be distinguished within the aspects of daily life-style which were considered. These factors were interpreted as constructs of: (1) slimming behaviour; (2) behaviour characterized by the consumption of coffee and alcohol, smoking habits and the number of hours sleep per night (CASS behaviour); (3) eating sweet and savoury snacks between meals; (4) health-conscious behaviour; and (5) physical activity. After adjustments were made for age and level of education, multiple regression analysis showed that slimming behaviour was positively related to BMI in both sexes, CASS behaviour was positively related to BMI in males, and health-conscious behaviour was inversely related to BMI in both sexes. An observed positive relationship between BMI and occupational physical activity in males could be explained by a confounding effect of socio-economic status. The observed weak positive relationship between number of hours active sport per month and BMI in males is possibly due to a difference in lean body mass. The consumption of sweet and savoury snacks was not related to BMI in either sex. These findings suggest that the daily life-style variables should be interpreted as indicators of more general types of behaviour, some of which may be important determinants of obesity.

  15. 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 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...

  16. Dietary determinants of changes in waist circumference adjusted for body mass index - a proxy measure of visceral adiposity.

    Directory of Open Access Journals (Sweden)

    Dora Romaguera

    2010-07-01

    Full Text Available 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 the association between dietary factors and prospective changes in visceral adiposity as measured by changes in the phenotype WC(BMI.We analyzed data from 48,631 men and women from 5 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC study. Anthropometric measurements were obtained at baseline and after a median follow-up time of 5.5 years. WC(BMI was defined as the residuals of waist circumference regressed on body mass index, and annual change in WC(BMI (DeltaWC(BMI, cm/y was defined as the difference between residuals at follow-up and baseline, divided by follow-up time. The association between energy, energy density (ED, macronutrients, alcohol, glycemic index (GI, glycemic load (GL, fibre and DeltaWC(BMI was modelled using centre-specific adjusted linear regression, and random-effects meta-analyses to obtain pooled estimates. Men and women with higher ED and GI diets showed significant increases in their WC(BMI, compared to those with lower ED and GI [1 kcal/g greater ED predicted a DeltaWC(BMI of 0.09 cm (95% CI 0.05 to 0.13 in men and 0.15 cm (95% CI 0.09 to 0.21 in women; 10 units greater GI predicted a DeltaWC(BMI of 0.07 cm (95% CI 0.03 to 0.12 in men and 0.06 cm (95% CI 0.03 to 0.10 in women]. Among women, lower fibre intake, higher GL, and higher alcohol consumption also predicted a higher DeltaWC(BMI.Results of this study suggest that a diet with low GI and ED may prevent visceral adiposity, defined as the prospective changes in WC(BMI. Additional effects may be obtained among women of low alcohol, low GL, and high fibre intake.

  17. Reduction of misclassification rates of obesity by body mass index using dual-energy X-ray absorptiometry scans to improve subsequent prediction of per cent fat mass in a Caucasian population

    DEFF Research Database (Denmark)

    Pedersen, Susie Dawn; Astrup, Arne; Skovgaard, Ib

    2011-01-01

    Recognition is increasing for the errors of body mass index (BMI) in classification of excess body fat. Dual-energy X-ray absorptiometry (DXA) is accurate to assess body fat mass per cent (%FM), but is underutilized clinically. We examined the prevalence of obesity misclassification by BMI....... The majority of men with BMI 25–27 kg m-2 and women with BMI 24–26 kg m-2 were misclassified. Using multiple scan data (189 men, 311 women) and calculating the patient-specific constant C = (1 - %FM/100)3/2 ¥ BMI from baseline BMI and %FM, misclassification rates were halved for both genders when a personal...... threshold, BMIT, was used ([BMIT = C/(0.75)3/2] for men and [BMIT = C/(0.65)3/2] for women). We conclude that simple formulae allow evaluation of fatness of individual patients more accurately than BMI, with the use of one baseline DXA scan, and enable the establishment of patient-specific obesity treatment...

  18. BMI and Lifetime Changes in BMI and Cancer Mortality Risk

    Science.gov (United States)

    Taghizadeh, Niloofar; Boezen, H. Marike; Schouten, Jan P.; Schröder, Carolien P.; de Vries, E. G. Elisabeth; Vonk, Judith M.

    2015-01-01

    Body Mass Index (BMI) is known to be associated with cancer mortality, but little is known about the link between lifetime changes in BMI and cancer mortality in both males and females. We studied the association of BMI measurements (at baseline, highest and lowest BMI during the study-period) and lifetime changes in BMI (calculated over different time periods (i.e. short time period: annual change in BMI between successive surveys, long time period: annual change in BMI over the entire study period) with mortality from any cancer, and lung, colorectal, prostate and breast cancer in a large cohort study (n=8,645. Vlagtwedde-Vlaardingen, 1965-1990) with a follow-up on mortality status on December 31st 2008. We used multivariate Cox regression models with adjustments for age, smoking, sex, and place of residence. Being overweight at baseline was associated with a higher risk of prostate cancer mortality (hazard ratio (HR) =2.22; 95% CI 1.19-4.17). Obesity at baseline was associated with a higher risk of any cancer mortality [all subjects (1.23 (1.01-1.50)), and females (1.40 (1.07-1.84))]. Chronically obese females (females who were obese during the entire study-period) had a higher risk of mortality from any cancer (2.16 (1.47-3.18), lung (3.22 (1.06-9.76)), colorectal (4.32 (1.53-12.20)), and breast cancer (2.52 (1.15-5.54)). We found no significant association between long-term annual change in BMI and cancer mortality risk. Both short-term annual increase and decrease in BMI were associated with a lower mortality risk from any cancer [all subjects: (0.67 (0.47-0.94)) and (0.73 (0.55-0.97)), respectively]. In conclusion, a higher BMI is associated with a higher cancer mortality risk. This study is the first to show that short-term annual changes in BMI were associated with lower mortality from any type of cancer. PMID:25881129

  19. Racial and Ethnic Differences in Dietary Intake, Physical Activity, and Body Mass Index (BMI) Among Cancer Survivors: 2005 and 2010 National Health Interview Surveys (NHIS).

    Science.gov (United States)

    Byrd, Doratha A; Agurs-Collins, Tanya; Berrigan, David; Lee, Richard; Thompson, Frances E

    2017-12-01

    This paper reports racial/ethnic differences in mean dietary and alcohol intake, physical activity, and body mass index (BMI) among cancer survivors and examines adherence to the American Cancer Society and the US Dietary Guidelines for Americans. Data are from the cross-sectional 2005 and 2010 National Health Interview Surveys (NHIS). The total sample of cancer survivors (N = 3367) included non-Hispanic Whites (NHW; N = 2698), non-Hispanic Blacks (NHBs; N = 379), and Hispanics (N = 290). We compared mean reported dietary intake, moderate/vigorous physical activity, and BMI among racial/ethnic groups. Predicted marginals and multivariate logistic regression analysis were used to compare prevalence of non-adherence with recommendations among groups. Among the three racial/ethnic groups, Hispanics had the highest mean intake of vegetables, fiber, and calcium (p = 0.0003; p < 0.0001; p = 0.001). In the logistic regression model adjusting for sociodemographic covariates, smoking and BMI, Hispanics had lower non-adherence to fiber guidelines (OR = 0.38; CI = 0.24-0.58) than NHWs. NHBs had significantly higher non-adherence to vegetable guidelines (OR = 1.63; CI = 1.07-2.47). NHBs and Hispanics had lower non-adherence with alcohol guidelines than NHWs (OR = 0.35 and 0.38; CI = 0.18-0.69 and 0.19-0.76, respectively). NHBs and Hispanics were more likely to be overweight/obese (OR = 1.66 and 1.57; CI = 1.24-2.23 and CI = 1.11-2.21, respectively). There are racial/ethnic differences in certain health behaviors of cancer survivors. However, non-adherence to guidelines is high in all three racial/ethnic groups. Achieving the recommended guidelines for diet, physical activity, and a healthy BMI is a concern for all cancer survivors, indicating the need for intervention among this growing group of at-risk individuals.

  20. The impact of maternal body mass index on external cephalic version success.

    Science.gov (United States)

    Chaudhary, Shahrukh; Contag, Stephen; Yao, Ruofan

    2018-01-21

    The purpose of this study is to determine the association between body mass index (BMI) and success of ECV. This is a cross-sectional analysis of singleton live births in the USA from 2010 to 2014 using birth certificate data. Patients were assigned a BMI category according to standard WHO classification. Comparisons of success of ECV between the BMI categories were made using chi-square analysis with normal BMI as the reference group. Cochran-Armitage test was performed to look for a trend of decreasing success of ECV as BMI increased. The odds for successful ECV were estimated using multivariate logistic regression analysis, adjusting for possible confounders. A total of 51,002 patients with documented ECV were available for analysis. There was a decreased success rate for ECV as BMI increased (p < .01). Women with a BMI of 40 kg/m 2 or greater had a 58.5% success rate of ECV; women with a normal BMI had 65.0% success rate of ECV. Multivariate analyses demonstrated significant decrease in success of ECV in women with BMI of 40 kg/m 2 or greater (OR 0.621, CI 0.542-0.712). Among women with BMI of 40 kg/m 2 or greater with successful ECV, 59.5% delivered vaginally. In contrast, 81.0% of women with normal BMI and successful ECV delivered vaginally. Morbidly obese women have decreased success rate of ECV as BMI increases and decreased vaginal delivery rates after successful ECV.

  1. Psychosocial and other working conditions in relation to body mass index in a representative sample of Australian workers

    Directory of Open Access Journals (Sweden)

    Louie Amber M

    2006-03-01

    Full Text Available Abstract Background The aim of the study was to examine the relationship between psychosocial and other working conditions and body-mass index (BMI in a working population. This study contributes to the approximately dozen investigations of job stress, which have demonstrated mixed positive and negative results in relation to obesity, overweight and BMI. Methods A cross-sectional population-based survey was conducted among working Australians in the state of Victoria. Participants were contacted by telephone from a random sample of phone book listings. Information on body mass index was self-reported as were psychosocial work conditions assessed using the demand/control and effort/reward imbalance models. Other working conditions measured included working hours, shift work, and physical demand. Separate linear regression analyses were undertaken for males and females, with adjustment for potential confounders. Results A total of 1101 interviews (526 men and 575 women were completed. Multivariate models (adjusted for socio-demographics demonstrated no associations between job strain, as measured using the demand/control model, or ERI using the effort/reward imbalance model (after further adjustment for over commitment and BMI among men and women. Multivariate models demonstrated a negative association between low reward and BMI among women. Among men, multivariate models demonstrated positive associations between high effort, high psychological demand, long working hours and BMI and a negative association between high physical demand and BMI. After controlling for the effort/reward imbalance or the demand/control model, the association between physical demand and working longer hours and BMI remained. Conclusion Among men and women the were differing patterns of both exposures to psychosocial working conditions and associations with BMI. Among men, working long hours was positively associated with higher BMI and this association was partly

  2. Cumulus cell mitochondrial activity in relation to body mass index in women undergoing assisted reproductive therapy

    Directory of Open Access Journals (Sweden)

    Victoria K. Gorshinova

    2017-06-01

    Full Text Available Most studies have considered the negative influence of obesity on fertility in both genders. In the present study, we assessed mitochondrial activity expressed as the mitochondrial potential index (MPI in cumulus cells from obese women and women with a normal body mass index (BMI during assisted reproductive therapy. The results revealed a significant reduction of MPI with increased body mass. The lower MPI levels in cumulus cells from obese women may reflect mitochondrial dysfunction caused by oxidative stress, which can affect the cumulus-oocyte complex and have an impact on oocyte development.

  3. Alternative regression models to assess increase in childhood BMI

    OpenAIRE

    Beyerlein, Andreas; Fahrmeir, Ludwig; Mansmann, Ulrich; Toschke, André M

    2008-01-01

    Abstract Background Body mass index (BMI) data usually have skewed distributions, for which common statistical modeling approaches such as simple linear or logistic regression have limitations. Methods Different regression approaches to predict childhood BMI by goodness-of-fit measures and means of interpretation were compared including generalized linear models (GLMs), quantile regression and Generalized Additive Models for Location, Scale and Shape (GAMLSS). We analyzed data of 4967 childre...

  4. Behavioral and environmental modification of the genetic influence on body mass index: A twin study

    Science.gov (United States)

    Horn, Erin E.; Turkheimer, Eric; Strachan, Eric; Duncan, Glen E.

    2015-01-01

    Body mass index (BMI) has a strong genetic basis, with a heritability around 0.75, but is also influenced by numerous behavioral and environmental factors. Aspects of the built environment (e.g., environmental walkability) are hypothesized to influence obesity by directly affecting BMI, by facilitating or inhibiting behaviors such as physical activity that are related to BMI, or by suppressing genetic tendencies toward higher BMI. The present study investigated relative influences of physical activity and walkability on variance in BMI using 5,079 same-sex adult twin pairs (70% monozygotic, 65% female). High activity and walkability levels independently suppressed genetic variance in BMI. Estimating their effects simultaneously, however, suggested that the walkability effect was mediated by activity. The suppressive effect of activity on variance in BMI was present even with a tendency for low-BMI individuals to select into environments that require higher activity levels. Overall, our results point to community- or macro-level interventions that facilitate individual-level behaviors as a plausible approach to addressing the obesity epidemic among U.S. adults. PMID:25894925

  5. Maternal Pre-pregnancy BMI and Reproductive Health of Daughters in Young Adulthood

    DEFF Research Database (Denmark)

    Mariansdatter, Saga Elise; Ernst, Andreas; Toft, Gunnar

    2016-01-01

    Objective To investigate the possible associations between maternal pre-pregnancy body mass index (BMI) and daughters' age of menarche and subsequent markers of reproductive health. Methods Nine hundred eighty-five pregnant women (80 %) were enrolled at their routine 30th week examinations in 1988...... dehydroepiandrosterone-sulphate (DHEAS), estradiol, and free estrogen index (FEI), compared to the middle BMI tertile. This was supported by a sub-analysis using the WHO classification (underweight, BMI obese, BMI ≥ 25.00 kg/m2) as exposure groups, in which daughters...... of overweight mothers had lower levels of DHEAS and estradiol, and lower FEI compared to daughters of normal weight mothers. No associations were found for ovarian follicle count in any of the groups. Conclusions for Practice We found that higher maternal BMI is associated with earlier age of menarche...

  6. Maternal pre-pregnancy body mass index and pubertal development among sons

    DEFF Research Database (Denmark)

    Hounsgaard, M L; Håkonsen, L B; Vested, A

    2014-01-01

    Maternal overweight and obesity in pregnancy has been associated with earlier age of menarche in daughters as well as reduced semen quality in sons. We aimed at investigating pubertal development in sons born by mothers with a high body mass index (BMI). The study included 2522 sons of mothers...... indicators of pubertal development, results also indicated earlier pubertal development among sons of obese mothers. After excluding sons of underweight mothers in a subanalysis, we observed an inverse trend between maternal pre-pregnancy BMI and age at regular shaving, acne and first nocturnal emission....... In conclusion, maternal pre-pregnant obesity may be related to earlier timing of pubertal milestones among sons. More research, preferably based on prospectively collected information about pubertal development, is needed to draw firm conclusions....

  7. Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk

    DEFF Research Database (Denmark)

    Thrift, Aaron P.; Gong, Jian; Peters, Ulrike

    2015-01-01

    Background: High body mass index (BMI) is consistently linked to increased risk of colorectal cancer 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 colorectal cancer. Methods: We used data from 10,226 colorectal cancer 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......, 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 colorectal cancer....

  8. Body mass index, perceived and actual physical competence: the relationship among young children.

    Science.gov (United States)

    Spessato, B C; Gabbard, C; Robinson, L; Valentini, N C

    2013-11-01

    The purpose of this study was to examine the relationship between perceived physical competence (PPC), actual motor competence (MC) and body mass index (BMI) in young children. We assessed MC (Test of Gross Motor Development - 2nd Edition), PPC (Pictorial Scale of Perceived Competence and Social Acceptance) and BMI (CDC calculator) of 178 young children ages 4-7 years. The linear regression model for the overall sample showed that BMI was a better predictor of PPC than MC. Also, obese children had lower PPC, but showed no differences in MC compared with leaner peers. PPC of young obese children was lower than their leaner counterparts, yet their MC was similar. That outcome draws attention to the importance of promoting positive PPC in young children. © 2012 John Wiley & Sons Ltd.

  9. The Relationship Between 
Body Mass Index and Sexual Function in Endometrial Cancer
.

    Science.gov (United States)

    Garcia, Rubi M; Hanlon, Alexandra; Small, William; Strauss, Jonathan B; Lin, Lillie; Wells, Jessica; Bruner, Deborah W

    2018-01-01

    To explore the association between pretreatment body mass index (BMI) and post-treatment sexual function in women treated for endometrial cancer. 
. 28 postmenopausal women treated with vaginal brachytherapy (VBT) took part in this multisite exploratory secondary analysis at the University of Pennsylvania and Northwestern University. 
. Secondary data analysis was used to determine if pretreatment BMI is associated with post-VBT sexual function in postmenopausal women treated for endometrial cancer at baseline and at six months post-treatment. Because of small sample size, participants were dichotomized according to enrollment BMI. Both groups had poor sexual function at baseline. Although improved function was observed with time, neither group reached a score indicating healthy sexual function.
. Understanding factors that influence sexual health in patients with gynecologic cancer can improve post-treatment quality of life. 
.

  10. Child Disinhibition, Parent Restriction, and Child Body Mass Index in Low-Income Preschool Families

    Science.gov (United States)

    Sparks, Martha A.; Radnitz, Cynthia L.

    2013-01-01

    Objective: To examine both unique and interactive effects of parent restrictive feeding and child disinhibited eating behavior on child body mass index (BMI) in low-income Latino and African American preschoolers. Methods: The sample included 229 parent-child pairs, the majority of whom were low-income and Latino (57%) or African American (25%).…

  11. 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.

  12. [Nutritional status of children in the North Backa Region based on the body mass index].

    Science.gov (United States)

    Pavlović, M

    2000-01-01

    Monitoring nutritional status of children at a population level represents an important index of the nutritional quality and quantity in a certain period of time. The aim of this paper was to determine the body mass index (BMI kg/m2) and evaluate the nutritional status of children in the North Backa Region (Subotica, Backa Topola and Mali Idos). A transversal anthropometric study examining body weight and height during a mass screening of children in Health centers in the North Backa Region, 25.790 children aged 1-18 have been examined in the period 1995-1998. Evidence and statistical evaluation of data have been processed using the software "CHILD" determining the percentile values of BMI and nutritional status according to reference values of the First National Healts and Nutrition Examination Survey (NHANES 1). Analyzing the nutritional status of children aged 6-18 in the North Backa Region we found 4.39% boys and 5.41 girls with BMI nutritional status (BMI P15-85) was found in 67.13% boys and 67.25% girls. 12.77% of boys and 11.78% of girls were overweight (BMI P85-95) and obesity (BMI > P95) was registered in 8.46% boys and 8.60% girls. Using the same software and based on results for the whole group of children aged 1-18, reference values were calculated for BMI as a regional reference data which can be used in everyday public health setting. This research is the first examination of the nutritional status of children at a population level in the North Backa Region in regard to BMI. This model of nutritional status monitoring in children using the above mentioned software will be used at a national level. These results show an inadequate nutritional status of children in the North Backa Region which can be associated with unbalanced nutrition and life style. Therefore, permanent monitoring of the nutritional status in children has been established in order to take adequate preventive measures to realize nutrition of children and adolescents.

  13. The Report Card on BMI Report Cards.

    Science.gov (United States)

    Thompson, Hannah R; Madsen, Kristine A

    2017-06-01

    Half of states in the USA have legislation requiring that schools conduct body mass index (BMI) screening among students; just under half of these states report results to parents. The effectiveness of school-based BMI screening and reporting in reducing childhood obesity is not established and the practice has raised concerns about the potential for increased weight-based stigmatization. Recent experimental studies of BMI screening and reporting have not demonstrated a positive impact on students' weight status. However, the language and formatting of BMI reports used in studies to date have been suboptimal and have likely limited the potential effectiveness of the practice. This article reviews the recent literature on school-based BMI screening and reporting and highlights important areas for future inquiry. The present review suggests that evidence to date is not sufficient to support definitive conclusions about the value of school-based BMI screening and reporting as a childhood obesity prevention tool.

  14. Correlation of Gastrophageal Reflux Disease symptoms with Body Mass Index

    International Nuclear Information System (INIS)

    Zafar, S.; Haque, Israr U.; Tayyab, Ghias U.N.; Rehman, Ameed U.; Rehman, Adeel U.; Chaudhry, NusratU.

    2008-01-01

    Aim was to find a correlation between symptoms of gastrophageal refluxdisease (GERD) and body mass index (BMI). A total of 603 patients whopresented at Ghurki Trust Teaching Hospital and Surgimed Hospital Lahore withsymptoms of GERD, were included and interviewed according to a validated GERDquestionnaire. It included questions regarding GERD symptoms and theirseverity/frequency. Symptoms were defined: frequent if occurred daily;occasional if weekly and severe if they were sufficiently intense to changelife style. Height and weight were also recorded and their BMI calculated. Weused logistic regression analysis was performed to assess the associationbetween the presence of each specific GI symptom and BMI. The odds ratios(OR) for a given specific symptom and 95% confidence intervals (CI) werecomputed from the coefficients in logistic regression models. The prevalenceof obesity was 25.3%, while 38.1% were overweight. There was an increase inreporting of GI symptoms in obese individuals compared to those with normalBMI who were taken as reference group. Frequent nausea, vomiting, earlysatiety, epigastric pain, heart burn, regurgitation, postprandial fullnessand dysphagia were present in 10.4, 5.6, 8.9, 17.2, 10.2, 22.1, 23.5 and21.7%, respectively, of obese subjects compared to 7.9, 1.2, 6.5, 3.5, 4.4,17.1 and 16.6% of normal BMI subjects. BMI showed a positive relationshipwith frequent vomiting (P=0.02), epigastric pain (P=0.03), regurgitation offood (P=0.02) and postprandial fullness (0.01). The majority of GERD symptomshave a greater likelihood of occurring with increasing BMI. (author)

  15. Dairy consumption and body mass index among adults: Mendelian randomization analysis of 184802 individuals from 25 studies

    Science.gov (United States)

    Associations between dairy intake and body mass index (BMI) have been inconsistently observed in epidemiological studies, and the causal relationship remains ill defined. We performed Mendelian randomization (MR) analysis using an established dairy intake-associated genetic polymorphism located upst...

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

    International Nuclear Information System (INIS)

    Rasool, S.A.; Shirwany, A.K.

    2012-01-01

    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)

  17. Predictors of Emotional Eating during Adolescents' Transition to College: Does Body Mass Index Moderate the Association between Stress and Emotional Eating?

    Science.gov (United States)

    Wilson, Shana M.; Darling, Katherine E.; Fahrenkamp, Amy J.; D'Auria, Alexandra L.; Sato, Amy F.

    2015-01-01

    Objective: This study sought to (1) examine perceived stress and resources to cope with stress as predictors of emotional eating during the transition to college and (2) determine whether body mass index (BMI) moderated the emotional eating-stress relationship. Participants: Participants were 97 college freshmen (73% female; BMI: M = 25.3…

  18. Body mass index in the first year after kidney transplantation.

    Science.gov (United States)

    Costa, B; Moratelli, L; Silva, L B; Paiva, A C M; Silva, A N; Carminatti, M; Bastos, M G; Sanders-Pinheiro, H

    2014-01-01

    Kidney transplant recipients (KTR) experience better appetite, partly due to the use of steroids, and are subjected to less severe dietetic restrictions, hence they tend to increase the uptake of calories, which favors weight gain posttransplantation. In this study, we evaluate the profile of body mass index (BMI) in the first year posttransplantation. This was a retrospective study including 131 patients who received transplants between 1991 and 2011. We collected demographic and clinical data such as body weight and height, and calculated BMI pretransplantation and at 6 and 12 months posttransplantation. Mean age was 47.1 ± 13.1 years, 64.9% were male, and 29% of patients were diabetic. Pretransplantation mean BMI was 23.04 ± 4.08 kg/m(2), and at 6 and 12 months posttransplantation it increased to 24.55 ± 4.2 kg/m(2) and 24.65 ± 4.16 kg/m(2), respectively (P importance of identifying subjects at risk for excessive weight gain posttransplantation, thus allowing an early nutritional intervention to prevent its complications. Copyright © 2014 Elsevier Inc. All rights reserved.

  19. Maternal obesity is the new challenge; a qualitative study of health professionals' views towards suitable care for pregnant women with a Body Mass Index (BMI) ≥ 30 kg/m².

    Science.gov (United States)

    Smith, Debbie M; Cooke, Alison; Lavender, Tina

    2012-12-19

    An increase in the number of women with maternal obesity (Body Mass Index [BMI] ≥30 kg/m2) has had a huge impact on the delivery of maternity services. As part of a programme of feasibility work to design an antenatal lifestyle programme for women with a BMI ≥30 kg/m2, the current study explored health professionals' experiences of caring for women with a BMI ≥30 kg/m2 and their views of the proposed lifestyle programme. Semi-structured interviews with 30 health professionals (including midwives, sonographers, anaesthetists and obstetricians) were conducted and analysed using thematic analysis. Recruitment occurred in two areas in the North West of England in early 2011. Three themes were evident. Firstly, obesity was seen as a conversation stopper; obesity can be a challenge to discuss. Secondly, obesity was seen as a maternity issue; obesity has a direct impact on maternity care and therefore intervention is needed. Finally, the long-term impact of maternal obesity intervention; lifestyle advice in pregnancy has the potential to break the cyclic obesity relationship. The health professionals believed that antenatal lifestyle advice can play a key role in addressing the public health issue of obesity as pregnancy is a time of increased motivation for women with a BMI ≥30 kg/m2. Maternal obesity is a challenge and details of the training content required for health professionals to feel confident to approach the issue of maternal obesity with women are presented. Support for the antenatal lifestyle programme for women with a BMI ≥30 kg/m2 highlights the need for further exploration of the impact of interventions on health promotion.

  20. Survival in fatal road crashes: body mass index, gender, and safety belt use.

    Science.gov (United States)

    Sivak, Michael; Schoettle, Brandon; Rupp, Jonathan

    2010-02-01

    This study evaluated the associations of body mass index (BMI), gender, and use of safety belts with the survival of drivers involved in fatal road crashes. The census data of all U.S. fatal crashes that did not involve pedestrians, bicyclists, or motorcyclists were examined for an 11-year period. If involved in a crash with one or more fatalities, the odds of female drivers being among the fatalities are 1.28 times higher than those of male drivers, and the odds of unbelted drivers being among the fatalities are 5.43 times higher than those of belted drivers. The relationship of survivability to BMI depends on the gender and safety belt use of the driver. For male drivers, increased BMI appears beneficial when safety belts are used but detrimental when not used. For belted female drivers, normal BMI is associated with the lowest odds of being killed, and both increased and decreased BMIs increase the odds. For unbelted female drivers, no reliable trends were present among the BMI categories.

  1. 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…

  2. Association of body mass index with decline in residual kidney function after initiation of dialysis

    NARCIS (Netherlands)

    Drechsler, Christiane; de Mutsert, Renée; Grootendorst, Diana C.; Boeschoten, Elisabeth W.; Krediet, Raymond T.; le Cessie, Saskia; Wanner, Christoph; Dekker, Friedo W.; Apperloo, A. J.; Bijlsma, J. A.; Boekhout, M.; Boer, W. H.; Büller, H. R.; de Charro, F. T. H.; de Fijter, C. W. H.; Doorenbos, C. J.; Fagel, W. J.; Feith, G. W.; Frenken, L. A. M.; Gerlag, P. G. G.; Gorgels, J. P. M. C.; Grave, W.; Huisman, R. M.; Jager, K. J.; Jie, K.; Koning-Mulder, W. A. H.; Koolen, M. I.; Kremer Hovinga, T. K.; Lavrijssen, A. T. J.; Luik, A. J.; Parlevliet, K. J.; Raasveld, M. H. M.; Schonck, M. J. M.; Schuurmans, M. M. J.; Siegert, C. E. H.; Stegeman, C. A.; Stevens, P.; Thijssen, J. G. P.; Valentijn, R. M.; van Buren, M.; van den Dorpel, M. A.; van der Boog, P. J. M.; van der Meulen, J.; van der Sande, F. M.; van Es, A.; van Geelen, J. A. C. A.; Vastenburg, G. H.; Verburgh, C. A.; Vincent, H. H.; Vos, P. F.

    2009-01-01

    BACKGROUND: Obesity is a risk factor for loss of kidney function in the general population, but it is unknown whether it proceeds to affect residual kidney function when patients require dialysis. Our aim was to study the effects of body mass index (BMI) on decline in kidney function and risk to

  3. Analysis of fall injuries by body mass index.

    Science.gov (United States)

    Ren, Jun; Waclawczyk, Amanda; Hartfield, Doug; Yu, Shicheng; Kuang, Xiangyu; Zhang, Hongrui; Alamgir, Hasanat

    2014-05-01

    To examine the association of body mass index (BMI) and fall injuries. Data were derived from the 2010 Behavioral Risk Factor Surveillance System and included subjects aged 45 years and older from Texas. The outcome was self-reported falls that resulted in injury to the respondents. Analysis of fall injuries by BMI was conducted and standard errors, 95% confidence intervals (CIs), and coefficients of variation were reported. Complex sample multivariate Poisson regression was used to examine the association of BMI and fall injuries. A total of 18,077 subjects were surveyed in 2010, and 13,235 subjects were aged 45 years old and older. The mean BMI was higher (29.94 vs 28.32 kg/m(2)) among those who reported fall injuries compared with those who did not. The fall injuries reported by obese respondents (relative risk [RR] 1.67) were found to be significantly (P = 0.031) higher compared with normal-weight respondents in the multivariate regression. Other risk factors that had significant association with fall injuries (when adjusted for BMI) were activity limitations (RR 5.00, 95% CI 3.36-7.46) compared with no limitations, and not having formal employment (homemaker: RR 2.68, 95% CI 1.33-5.37; unable to work: RR 5.01, 95% CI 1.87-13.29; out of work and students: RR 3.21, 95% CI 1.41-7.29) compared with the employed population. There is a significant association between obesity and fall injuries in adults aged 45 years old and older in Texas. Interventions in fall prevention, although generally targeted at present to older adults, also should take into account the weight status of the subjects.

  4. 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...... are sparse and provided contradictory results. The aim of this study was to further test the association between SERT and BMI in a large cohort of healthy subjects. METHODS: 127 subjects of the ENC DAT database (58 females, age 52 ± 18 years, range 20-83, BMI 25.2 ± 3.8 kg/m(2), range 18.2-41.1) were...... associated in the thalamus, but not in the midbrain. In the ROI-analysis, the interaction between gender and BMI showed a trend with higher correlation coefficient for men in the midbrain albeit not significant (0.033SBRm(2)/kg, p=0.1). CONCLUSIONS: The data are in agreement with previous PET findings...

  5. 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...

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

    Directory of Open Access Journals (Sweden)

    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. Value of body mass index in the diagnosis of obesity according to DEXA in well-controlled RA patients.

    Science.gov (United States)

    Tello-Winniczuk, Nina; Vega-Morales, David; García-Hernandez, Pedro A; Esquivel-Valerio, Jorge A; Garza-Elizondo, Mario A; Arana-Guajardo, Ana C

    Rheumatoid arthritis (RA) has an indirect effect on body composition. Body mass index (BMI) is not a valid predictor of body fat in RA patients. To evaluate the accuracy of BMI in identifying obesity diagnosed according to dual energy X-ray absorptiometry (DXA) in well-controlled RA patients. An observational, cross-sectional, descriptive, analytical study. We used 3 different cutoffs for obesity as determined by DXA: >35% total fat, >40% total fat, and >35% central fat mass (central obesity). One hundred one patients were included. We found that 35% total fat corresponded to a BMI of 24kg/m 2 , with a sensitivity of 90% and specificity of 75% (area under the curve [AUC] 0.917); 40% total fat to a BMI of 25kg/m 2 , with a sensitivity of 86% and specificity of 39% (AUC 0.822); and 35% central fat mass to a BMI of 22kg/m 2 , with a sensitivity of 97% and specificity of 84% (AUC 0.951). Obesity according to DXA was underdiagnosed when the classic BMI cutoffs were used in well-controlled RA patients. Copyright © 2016 Elsevier España, S.L.U. and Sociedad Española de Reumatología y Colegio Mexicano de Reumatología. All rights reserved.

  8. 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

    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.......2+/-4.3) kg/m(2). Cerebral cortex 5-HT(2A) binding was significantly positively correlated to BMI, whereas no association between cortical 5-HT(2A) receptor binding and alcohol or tobacco use was detected. We suggest that our observation is driven by a lower central 5-HT level in overweight people, leading...

  9. Weight and body mass index among female contraceptive clients.

    Science.gov (United States)

    Kohn, Julia E; Lopez, Priscilla M; Simons, Hannah R

    2015-06-01

    As obesity may affect the efficacy of some contraceptives, we examined weight, body mass index (BMI) and prevalence of obesity among female contraceptive clients at 231 U.S. health centers. A secondary aim was to analyze differences in contraceptive method use by obesity status. Cross-sectional study using de-identified electronic health record data from family planning centers. We analyzed contraceptive visits made by 147,336 females aged 15-44 years in 2013. A total of 46.1% of clients had BMI ≥25. Mean body weight was 154.4 lb (S.D.=41.9); mean BMI was 26.1 (S.D.=6.6). A total of 40% had BMI ≥26, when levonorgestrel emergency contraception may become less effective. Obese clients had higher odds of using a tier 1 or tier 3 contraceptive method and had lower odds of using a tier 2 or hormonal method than non-obese clients. About half of contraceptive clients would be categorized as overweight or obese. Contraceptive method choices differed by obesity status. About half of contraceptive clients in this study population were overweight or obese. Contraceptive method choices differed by obesity status. All women - regardless of body size - should receive unbiased, evidence-based counseling on the full range of contraceptive options so that they can make informed choices. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. The association between body mass index and academic performance

    Directory of Open Access Journals (Sweden)

    Khaled A. Alswat

    2017-02-01

    Full Text Available Objectives: To examine the relation between body mass index (BMI and the academic performance of students from Taif city, Kingdom of Saudi Arabia (KSA using the grade point average (GPA. Method: A cross-sectional study that includes students from intermediate and high schools located in Taif city, KSA between April 2014 and June 2015. Height and weight were measured and BMI calculated. Related risk factors including dietary habits, activity, parent’s education, sleeping pattern, and smoking were recorded. Result: A total of 14 schools included 424 students. 24.5% were either overweight or obese. The mean age was 15.44 year, 74.8% of the students were male, 53.8% were high school students, and 83.7% attended public schools. The mean overall GPA was 82.44% and the mean GPA for science subjects was 70.91%. No statically significant difference in the BMI was found between those who achieved >90% of the overall grade compared with those who achieved 90% overall grade are more likely to attend private school (p<0.05, live with their parents (p=0.013, having educated parents (p=0.037, getting optimal sleep (p<0.05, and they rarely eat their food outside their home (p<0.05. Conclusion: There was no correlation between the BMI and school performance, except in physics results where obese students perform worse than normal-weight students.

  11. Body mass, fat-free body mass, and prognosis in patients with chronic obstructive pulmonary disease from a random population sample

    DEFF Research Database (Denmark)

    Vestbo, Jørgen; Prescott, Eva; Almdal, Thomas

    2006-01-01

    Low body mass index (BMI) is a marker of poor prognosis in chronic obstructive pulmonary disease (COPD). In the general population, the harmful effect of low BMI is due to the deleterious effects of a low fat-free mass index (FFMI; fat-free mass/weight(2))....

  12. The relationship of waist circumference and body mass index to grey matter volume in community dwelling adults with mild obesity.

    Science.gov (United States)

    Hayakawa, Y K; Sasaki, H; Takao, H; Yoshikawa, T; Hayashi, N; Mori, H; Kunimatsu, A; Aoki, S; Ohtomo, K

    2018-02-01

    Previous work has shown that high body mass index (BMI) is associated with low grey matter volume. However, evidence on the relationship between waist circumference (WC) and brain volume is relatively scarce. Moreover, the influence of mild obesity (as indexed by WC and BMI) on brain volume remains unclear. This study explored the relationships between WC and BMI and grey matter volume in a large sample of Japanese adults. The participants were 792 community-dwelling adults (523 men and 269 women). Brain magnetic resonance images were collected, and the correlation between WC or BMI and global grey matter volume were analysed. The relationships between WC or BMI and regional grey matter volume were also investigated using voxel-based morphometry. Global grey matter volume was not correlated with WC or BMI. Voxel-based morphometry analysis revealed significant negative correlations between both WC and BMI and regional grey matter volume. The areas correlated with each index were more widespread in men than in women. In women, the total area of the regions significantly correlated with WC was slightly greater than that of the regions significantly correlated with BMI. Results show that both WC and BMI were inversely related to regional grey matter volume, even in Japanese adults with somewhat mild obesity. Especially in populations with less obesity, such as the female participants in current study, WC may be more sensitive than BMI as a marker of grey matter volume differences associated with obesity.

  13. Body mass index, nutritional knowledge, and eating behaviors in elite student and professional ballet dancers.

    Science.gov (United States)

    Wyon, Matthew A; Hutchings, Kate M; Wells, Abigail; Nevill, Alan M

    2014-09-01

    It is recognized that there is a high esthetic demand in ballet, and this has implications on dancers' body mass index (BMI) and eating behaviors. The objective of this study was to examine the association between BMI, eating attitudes, and nutritional knowledge of elite student and professional ballet dancers. Observational design. Institutional. One hundred eighty-nine participants from an elite full-time dance school (M = 53, F = 86) and from an elite ballet company (M = 16, F = 25) volunteered for the study. There were no exclusion criteria. Anthropometric data (height and mass), General Nutrition Knowledge Questionnaire (GNKQ), and the Eating Attitude Test-26 (EAT-26) were collected from each participant. Univariate analysis of variance was used to examine differences in gender and group for BMI, GNKQ, and EAT-26. Regression analyses were applied to examine interactions between BMI, GNKQ, and EAT-26. Professional dancers had significantly greater BMI than student dancers (P < 0.001), and males had significantly higher BMI scores than females (P < 0.05). Food knowledge increased with age (P < 0.001) with no gender difference. Student dancers had a significant interaction between year group and gender because of significantly higher EAT-26 scores for females in years 10 and 12. Regression analysis of the subcategories (gender and group) reported a number of significant relationships between BMI, GNKQ, and EAT-26. The findings suggest that dancers with disordered eating also display lower levels of nutritional knowledge, and this may have an impact on BMI. Female students' eating attitudes and BMI should especially be monitored during periods of adolescent development.

  14. Mother's pre-pregnancy BMI is an important determinant of adverse cardiometabolic risk in childhood

    Science.gov (United States)

    Maternal adiposity is associated with poor offspring cardiometabolic health. We aimed to evaluate the relationship of maternal pre-pregnancy body mass index (BMI) on the BMI, body composition and cardiometabolic characteristics of the offspring. Forty offspring of overweight/obese mothers (O-OW) and...

  15. Body Mass Index, Nutrient Intakes, Health Behaviours and Nutrition Knowledge: A Quantile Regression Application in Taiwan

    Science.gov (United States)

    Chen, Shih-Neng; Tseng, Jauling

    2010-01-01

    Objective: To assess various marginal effects of nutrient intakes, health behaviours and nutrition knowledge on the entire distribution of body mass index (BMI) across individuals. Design: Quantitative and distributional study. Setting: Taiwan. Methods: This study applies Becker's (1965) model of health production to construct an individual's BMI…

  16. 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

    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...

  17. 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

  18. A Body Shape Index and Heart Rate Variability in Healthy Indians with Low Body Mass Index

    Directory of Open Access Journals (Sweden)

    Sharma Sowmya

    2014-01-01

    Full Text Available Background. One third of Indian population is said to be suffering from chronic energy deficiency (CED, with increased risk of developing chronic diseases. A new anthropometric measure called A Body Shape Index (ABSI is said to be a better index in predicting risks for premature mortality. ABSI is also in part said to be a surrogate of visceral fat. Objective. The present study aimed to explore the association between indices of HRV (heart rate variability, BMI, WC, and ABSI in healthy Indian males with low BMI (BMI < 18.5 kg/m2 and to compare with normal BMI group (BMI 18.5 to 24.9 kg/m2. Methodology. ABSI and BMI were derived from anthropometric parameters, namely, height, weight, and waist circumference in 178 males aged 18 to 78 years. Subjects were categorized into two groups based on their BMI. Results and Conclusions. Power spectral analysis of HRV demonstrated a significant negative correlation between Log HF (high frequency and ABSI in both low BMI [−24.2 (9.4, P<0.05] and normal BMI group [−23.41 (10.1, P<0.05] even after controlling for age. Thus even with slight increase in BMI among low BMI individuals, there could be a greater risk of cardiovascular morbidity and mortality.

  19. 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...

  20. Body mass index and response to a multidisciplinary treatment of fibromyalgia.

    Science.gov (United States)

    Castel, Antoni; Castro, Sonia; Fontova, Ramon; Poveda, Maria José; Cascón-Pereira, Rosalia; Montull, Salvador; Padrol, Anna; Qanneta, Rami; Rull, Maria

    2015-02-01

    The purpose of this study is to determine whether there are some differences in the treatment responses to a multidisciplinary fibromyalgia (FM) treatment related with the baseline body mass index (BMI) of the participants. Inclusion criteria consisted of female sex, a diagnosis of FM (American College of Rheumatology criteria), age between 18 and 60 years, and between 3 and 8 years of schooling. Baseline BMI was determined, and patients were randomly assigned to one of the two treatment conditions: conventional pharmacologic treatment or multidisciplinary treatment. Outcome measures were pain intensity, functionality, catastrophizing, psychological distress, health-related quality of life, and sleep disturbances. One hundred thirty patients participated in the study. No statistical significant differences regarding pre-treatment outcomes were found among the different BMI subgroups, and between the two experimental conditions for each BMI category. General linear model analysis showed a significant interaction group treatment × time in pain intensity (p treatment × time. There are not differences among normal weight, overweight and obese patients with FM regarding their response to a multidisciplinary treatment programme for FM which combines pharmacological treatment, education, physical therapy and cognitive behavioural therapy.

  1. Late Sleeping Affects Sleep Duration and Body Mass Index in Adolescents

    Directory of Open Access Journals (Sweden)

    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.

  2. Body mass index and outcome after revascularization for symptomatic carotid artery stenosis

    Science.gov (United States)

    Greving, Jacoba P.; Hendrikse, Jeroen; Algra, Ale; Kappelle, L. Jaap; Becquemin, Jean-Pierre; Bonati, Leo H.; Brott, Thomas G.; Bulbulia, Richard; Calvet, David; Eckstein, Hans-Henning; Fraedrich, Gustav; Gregson, John; Halliday, Alison; Howard, George; Jansen, Olav; Roubin, Gary S.; Brown, Martin M.; Mas, Jean-Louis; Ringleb, Peter A.

    2017-01-01

    Objective: To determine whether the obesity paradox exists in patients who undergo carotid artery stenting (CAS) or carotid endarterectomy (CEA) for symptomatic carotid artery stenosis. Methods: We combined individual patient data from 2 randomized trials (Endarterectomy vs Angioplasty in Patients with Symptomatic Severe Carotid Stenosis and Stent-Protected Angioplasty vs Carotid Endarterectomy) and 3 centers in a third trial (International Carotid Stenting Study). Baseline body mass index (BMI) was available for 1,969 patients and classified into 4 groups: 120 days after randomization). This outcome was compared between different BMI strata in CAS and CEA patients separately, and in the total group. We performed intention-to-treat multivariable Cox regression analyses. Results: Median follow-up was 2.0 years. Stroke or death occurred in 159 patients in the periprocedural (cumulative risk 8.1%) and in 270 patients in the postprocedural period (rate 4.8/100 person-years). BMI did not affect periprocedural risk of stroke or death for patients assigned to CAS (ptrend = 0.39) or CEA (ptrend = 0.77) or for the total group (ptrend = 0.48). Within the total group, patients with BMI 25–<30 had lower postprocedural risk of stroke or death than patients with BMI 20–<25 (BMI 25–<30 vs BMI 20–<25; hazard ratio 0.72; 95% confidence interval 0.55–0.94). Conclusions: BMI is not associated with periprocedural risk of stroke or death; however, BMI 25–<30 is associated with lower postprocedural risk than BMI 20–<25. These observations were similar for CAS and CEA. PMID:28446644

  3. Adrenal androgen excess and body mass index in polycystic ovary syndrome.

    Science.gov (United States)

    Moran, Carlos; Arriaga, Monica; Arechavaleta-Velasco, Fabian; Moran, Segundo

    2015-03-01

    Adrenal hyperandrogenism affects approximately 25% of polycystic ovary syndrome (PCOS) patients but its relation to obesity is not totally understood. This study aimed to assess dehydroepiandrosterone (DHEA) and dehydroepiandrosterone sulfate (DHEAS) levels in relation to body mass index (BMI) in PCOS. This was a prospective observational study at an institutional practice at an obstetrics/gynecology hospital. The study included 136 PCOS patients, 20-35 years old, and 42 age-matched control women. The participants were classified with the BMI cutoff value of 27 kg/m(2) as follows: 1) high-BMI PCOS patients; 2) low-BMI PCOS patients; 3) high-BMI control women; and 4) low-BMI control women. The data were reanalyzed with the BMI cutoff value of 30 kg/m(2) to corroborate the findings in obese and nonobese patients. Blood samples were taken and LH, FSH, insulin, T, androstenedione (A4), DHEA, DHEAS, and glucose levels were determined. Homeostatic model assessment was calculated. Pelvic and abdominal ultrasound for ovarian morphology and adipose tissue, respectively, were performed. Obese PCOS patients presented significantly more insulin resistance than nonobese PCOS patients. The LH levels and LH/FSH ratio were significantly higher in low-BMI than in high-BMI PCOS patients. The A4 and DHEAS levels were significantly higher in nonobese than in obese PCOS patients. A significant correlation between LH and A4 in nonobese PCOS patients was observed. The frequency of hyperandrogenism by increased A4, and DHEA along with DHEAS was significantly higher in low-BMI PCOS patients compared with high-BMI PCOS patients. Some findings observed with the BMI cutoff value of 27 kg/m(2) changed with the cutoff value of 30 kg/m(2). Low BMI more so than high BMI is associated with increased LH, high A4, DHEA, and DHEAS levels in PCOS patients. The BMI cutoff value of 27 kg/m(2) classified better than 30 kg/m(2) for hormonal and metabolic characteristics.

  4. Prognostic impact of body mass index stratified by smoking status in patients with esophageal squamous cell carcinoma

    Directory of Open Access Journals (Sweden)

    Sun P

    2016-10-01

    Full Text Available Peng Sun,1,2,* Fei Zhang,1,2,* Cui Chen,3,* Chao Ren,1,2 Xi-Wen Bi,1,2 Hang Yang,1,2 Xin An,1,2 Feng-Hua Wang,1,2 Wen-Qi Jiang1,2 1State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 2Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 3Department of Oncology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China *These authors contributed equally to this work Background: As smoking affects the body mass index (BMI and causes the risk of esophageal squamous cell carcinoma (ESCC, the prognostic impact of BMI in ESCC could be stratified by smoking status. We investigated the true prognostic effect of BMI and its potential modification by smoking status in ESCC. Methods: We retrospectively analyzed 459 patients who underwent curative treatment at a single institution between January 2007 and December 2010. BMI was calculated using the measured height and weight before surgery. Chi-square test was used to evaluate the relationships between smoking status and other clinicopathological variables. The Cox proportional hazard models were used for univariate and multivariate analyses of variables related to overall survival. Results: BMI <18.5 kg/m2 was a significantly independent predictor of poor survival in the overall population and never smokers after adjusting for covariates, but not in ever smokers. Among never smokers, underweight patients (BMI <18.5 kg/m2 had a 2.218 times greater risk of mortality than non-underweight (BMI =18.5 kg/m2 patients (P=0.015. Among ever smokers, BMI <18 kg/m2 increased the risk of mortality to 1.656 (P=0.019, compared to those having BMI =18 kg/m2. Conclusion: Our study is likely the first to show that the prognostic effect of BMI was substantial in ESCC, even after stratifying by smoking status. Furthermore, the risk of death due to low BMI would be significantly increased in never smokers. We believe that

  5. 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...

  6. BODY MASS INDEX AND SELF-EMPLOYMENT IN SOUTH KOREA.

    Science.gov (United States)

    Han, Euna; Kim, Tae Hyun

    2017-07-01

    This study assesses differential labour performance by body mass index (BMI), focusing on heterogeneity across three distinct employment statuses: unemployed, self-employed and salaried. Data were drawn from the Korean Labor and Income Panel Study. The final sample included 15,180 person-year observations (9645 men and 5535 women) between 20 and 65 years of age. The findings show that (i) overweight/obese women are less likely to have salaried jobs than underweight/normal weight women, whereas overweight/obese men are more likely to be employed in both the salaried and self-employed sectors than underweight/normal men, (ii) overweight/obese women have lower wages only in permanent salaried jobs than underweight/normal weight women, whereas overweight/obese men earn higher wages only in salaried temporary jobs than underweight/normal weight women, (iii) overweight/obese women earn lower wages only in service, sales, semi-professional and blue-collar jobs in the salaried sector than underweight/normal weight women, whereas overweight/obese men have lower wages only in sales jobs in the self-employed sector than underweight/normal weight women. The statistically significant BMI penalty in labour market outcomes, which occurs only in the salaried sector for women, implies that there is an employers' distaste for workers with a high BMI status and that it is a plausible mechanism for job market penalty related to BMI status. Thus, heterogeneous job characteristics across and within salaried versus self-employed sectors need to be accounted for when assessing the impact of BMI status on labour market outcomes.

  7. Genetic regulation of pre-pubertal development of body mass index: a longitudinal study of Japanese twin boys and girls.

    Science.gov (United States)

    Silventoinen, Karri; Kaprio, Jaakko; Yokoyama, Yoshie

    2011-03-01

    We analyzed the genetic architecture of prepubertal development of relative weight to height in 216 monozygotic and 159 dizygotic complete Japanese twin pairs (52% girls). Ponderal index at birth (kg/m(3)) and body mass index (BMI, kg/m(2)) from 1 to 11 years of age were used. Additive genetic factors explained the major proportion (52-74%) of the variation of BMI from 1 to 11 years of age. Environmental factors common to both co-twins also showed some effect (7-28%), but at most ages this was not statistically significant. Strong genetic tracking was found for BMI from 1 to 11 years of age, but there was also evidence for a persistent effect of common environmental factors. Our results suggest that the genetic architecture of BMI development in the Japanese population is generally similar to that found in previous twin studies in Caucasian populations.

  8. 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...

  9. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

    OpenAIRE

    Turcot, Valérie; Lu, Yingchang; Highland, Heather M; Schurmann, Claudia; Justice, Anne E; Fine, Rebecca S; Bradfield, Jonathan P; Esko, Tõnu; Giri, Ayush; Graff, Mariaelisa; Guo, Xiuqing; Hendricks, Audrey E; Karaderi, Tugce; Lempradl, Adelheid; Locke, Adam E

    2018-01-01

    Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in...

  10. Overweight and obesity prevalence among Cree youth of Eeyou Istchee according to three body mass index classification systems

    OpenAIRE

    St-Jean, Audray; Meziou, Salma; Ayotte, Pierre; Lucas, Michel

    2017-01-01

    Background Little is known about the suitability of three commonly used body mass index (BMI) classification systems for Indigenous youth. We estimated overweight and obesity prevalence among Cree youth of Eeyou Istchee according to three BMI classification systems, assessed the level of agreement between them, and evaluated their accuracy through body fat and cardiometabolic risk factors. Methods Data on 288 youth (aged 8–17 years) were collected. Overweight and obesity prevalence were estim...

  11. Higher body mass index associated with severe early childhood caries.

    Science.gov (United States)

    Davidson, Katherine; Schroth, Robert J; Levi, Jeremy A; Yaffe, Aaron B; Mittermuller, Betty-Anne; Sellers, Elizabeth A C

    2016-08-20

    Severe Early Childhood Caries (S-ECC) is an aggressive form of tooth decay in preschool children affecting quality of life and nutritional status. The purpose was to determine whether there is an association between Body Mass Index (BMI) and S-ECC. Children with S-ECC were recruited on the day of their slated dental surgery under general anesthesia. Age-matched, caries-free controls were recruited from the community. All children were participating in a larger study on nutrition and S-ECC. Analysis was restricted to children ≥ 24 months of age. Parents completed a questionnaire and heights and weights were recorded. BMI scores and age and gender adjusted BMI z-scores and percentiles were calculated. A p-value ≤ 0.05 was significant. Two hundred thirty-five children were included (141 with S-ECC and 94 caries-free). The mean age was 43.3 ± 12.8 months and 50.2 % were male. Overall, 34.4 % of participants were overweight or obese. Significantly more children with S-ECC were classified as overweight or obese when compared to caries-free children (p = 0.038) and had significantly higher mean BMI z-scores than caries-free children (0.78 ± 1.26 vs. 0.22 ± 1.36, p = 0.002). Those with S-ECC also had significantly higher BMI percentiles (69.0 % ± 29.2 vs. 56.8 % ± 31.7, p = 0.003). Multiple linear regression analyses revealed that BMI z-scores were significantly and independently associated with S-ECC and annual household income as were BMI percentiles. Children with S-ECC in our sample had significantly higher BMI z-scores than caries-free peers.

  12. Diagnosing obesity by body mass index in chronic kidney disease: an explanation for the "obesity paradox?".

    Science.gov (United States)

    Agarwal, Rajiv; Bills, Jennifer E; Light, Robert P

    2010-11-01

    Although obesity is associated with poor outcomes, among patients with chronic kidney disease (CKD), obesity is related to improved survival. These results may be related to poor diagnostic performance of body mass index (BMI) in assessing body fat content. Accordingly, among 77 patients with CKD and 20 controls, body fat percentage was estimated by air displacement plethysmography (ADP), skinfold thickness, and body impedance analysis. Defined by BMI ≥30 kg/m(2), the prevalence of obesity was 20% in controls and 65% in patients with CKD. Defined by ADP, the prevalence increased to 60% among controls and to 90% among patients with CKD. Although sensitivity and positive predictive value of BMI to diagnose obesity were 100%, specificity was 72%, but the negative predictive value was only 30%. BMI correctly classified adiposity in 75%. Regardless of the presence or absence of CKD, subclinical obesity (defined as BMI value of BMI for obesity, our study may provide an explanation of the "obesity paradox."

  13. 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....

  14. 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....

  15. Association of body mass index and survival in pediatric leukemia: a meta-analysis.

    Science.gov (United States)

    Orgel, Etan; Genkinger, Jeanine M; Aggarwal, Divya; Sung, Lillian; Nieder, Michael; Ladas, Elena J

    2016-03-01

    Obesity is a worldwide epidemic in children and adolescents. Adult cohort studies have reported an association between higher body mass index (BMI) and increased leukemia-related mortality; whether a similar effect exists in childhood leukemia remains controversial. We conducted a meta-analysis to determine whether a higher BMI at diagnosis of pediatric acute lymphoblastic leukemia (ALL) or acute myeloid leukemia (AML) is associated with worse event-free survival (EFS), overall survival (OS), and cumulative incidence of relapse (CIR). We searched 4 electronic databases from inception through March 2015 without language restriction and included studies in pediatric ALL or AML (0-21 y of age) reporting BMI as a predictor of survival or relapse. Higher BMI, defined as obese (≥95%) or overweight/obese (≥85%), was compared with lower BMI [nonoverweight/obese (children with a higher BMI (RR: 1.35; 95% CI: 1.20, 1.51) than in those at a lower BMI. A higher BMI was associated with significantly increased mortality (RR: 1.31; 95% CI: 1.09, 1.58) and a statistically nonsignificant trend toward greater risk of relapse (RR: 1.17; 95% CI: 0.99, 1.38) compared with a lower BMI. In AML, a higher BMI was significantly associated with poorer EFS and OS (RR: 1.36; 95% CI: 1.16, 1.60 and RR: 1.56; 95% CI: 1.32, 1.86, respectively) than was a lower BMI. Higher BMI at diagnosis is associated with poorer survival in children with pediatric ALL or AML. © 2016 American Society for Nutrition.

  16. Risk of asthma in adult twins with type 2 diabetes and increased body mass index

    DEFF Research Database (Denmark)

    Thomsen, S F; Duffy, D L; Kyvik, K O

    2011-01-01

    . RESULTS: The risk of asthma was increased in subjects with type 2 diabetes relative to nondiabetic subjects both in men (13.5%vs 7.5%), P = 0.001 and in women (16.6%vs 9.6%), P = 0.001. The result remained significant after adjustment for age, BMI, smoking, symptoms of chronic bronchitis, marital status...... asthma and type 2 diabetes, 0.20 (0.01-0.40), P = 0.047; between asthma and BMI in women, 0.15 (0.07-0.22), P type 2 diabetes, 0.40 (0.29-0.43), P type 2 diabetes and increased BMI are strongly associated in adults, particularly in women......AIM: To examine the relationship between asthma, type 2 diabetes and increased body mass index (BMI) in adult twins. METHODS: We performed record linkage between questionnaire-defined asthma and BMI, and hospital discharge diagnoses of type 2 diabetes in 34,782 Danish twins, 20-71 years of age...

  17. Large-volume reduction mammaplasty: the effect of body mass index on postoperative complications.

    Science.gov (United States)

    Gamboa-Bobadilla, G Mabel; Killingsworth, Christopher

    2007-03-01

    Eighty-six women underwent modified inferior pedicled reduction mammaplasty. All were grouped according to body mass index (BMI): 14 in the overweight group, 51 in the obese group, and 21 in the morbidly obese group. The mean ages were 34, 35, and 36, respectively, for the 3 groups and were not statistically different. The mean resection weight in the overweight group was 929 g, 1316 g for the obese group, and 1760 g for the morbidly obese group. Wound healing complications increased with BMI; the overweight, obese, and morbidly obese groups had 21%, 43%, and 71% of complications, respectively. The results were not statistically different. The rate of repeat operations increased proportionally with the BMI to 7%, 8%, and 19%, respectively. Postoperative BMI was measured in 30 patients. Fifty percent of this group had limited preoperative activity secondary to breast enlargement. The mean postoperative follow-up period was 43 months. Forty-seven percent of this group continued to have limited activity after breast reduction with a mean BMI of 37.8 kg/m2. The mean BMI of all women was 37.41 kg/m2 with a total BMI change of -0.4 kg/m2, suggesting that most women do not lose a significant amount of weight after breast reduction. There was no statistical difference in long-term BMI.

  18. Dietary modification, Body Mass Index (BMI), Blood Pressure (BP) and cardiovascular risk in medical students of a government medical college of Karachi

    International Nuclear Information System (INIS)

    Raza, S.; Sheikh, M.A.; Hussain, M.F.A.; Siddiqui, S.E.; Muhammad, R.; Aziz, S.; Qamar, S.; Saleem, M.A.; Waki, N.; Faruqi, H.; Zia, A.

    2010-01-01

    Objective: To determine the prevalence of major risk factors including dietary modification, Body Mass Index (BMI), Blood Pressure (BP) and physical activity in medical students of government teaching hospitals of Karachi. Methods: A cross sectional study was conducted on students of Dow Medical College, Karachi, Pakistan through a structured pre-tested questionnaire. Non-probability purposive sampling was used. Smoking, hypertension, family history of cardiovascular disease (CVD), overweight and low physical activity levels are risk factors the presence of which can lead to development of CVD. Prevalence of these risk factors was determined by asking appropriate questions and through measurement of BMI and blood pressure for overweight and hypertension respectively. Awareness of risk factors was determined through knowledge of the effect of various food substances on development of CVD and of adoption of dietary changes keeping in mind the risk of developing CVD. SPSS 16.0 was used for statistical analysis. Results: A total of 132 medical students were included in the study of which 57 (43.2%) and 75 (56.8%) were male and female respectively with mean age of 20.85 +- 1.21 years. About 15.9% of students had elevated blood pressure i.e. > 140/90 mmHg. Twenty eight percent of the total students were found to be underweight and 17.4% were overweight, 5% had some history of CVD, 56.8% had family history of CVD, 9.4% were smokers and 29.5% had high physical activity level. About 87.1% had modified their diet for preventing CVD. Most of the students had adequate knowledge about the cardiovascular risk factors Conclusion: Majority of students were not overweight. A high prevalence of cardiovascular risk factors; family history and elevated blood pressure was present. Awareness in terms of knowledge was satisfactory but implementation in terms of diet modification and adequate physical activity was lacking. (author)

  19. Lifecourse socioeconomic position and 16 year body mass index trajectories: differences by race and sex.

    Science.gov (United States)

    Insaf, Tabassum Z; Shaw, Benjamin A; Yucel, Recai M; Chasan-Taber, Lisa; Strogatz, David S

    2014-10-01

    The aim of this study is to evaluate the association between lifecourse socioeconomic position (SEP) and changes in body mass index (BMI), and assess disparities in these associations across racial/ethnic groups. With longitudinal data from 4 waves of the Americans' Changing Lives Study (1986-2002), we employed mixed-effects modeling to estimate BMI trajectories for 1174 Blacks and 2323 White adults. We also estimated associations between these trajectories and lifecourse SEP variables, including father's education, perceived childhood SEP, own education, income, wealth, and financial security. Blacks had higher baseline BMIs, and steeper increases in BMI, compared to Whites. Childhood SEP, as measured by high father's education, was associated with lower baseline BMI among Whites. High education was associated with a lower baseline BMI within both race and sex categories. Income had contrasting effects among men and women. Higher income was associated with higher BMI only among males. Associations between indicators of SEP and BMI trajectories were only found for Whites. Our study demonstrates that lifecourse SEP may influence adult BMI differently within different racial and sex groups. Copyright © 2014 Elsevier Inc. All rights reserved.

  20. Body Mass Index Class Is Independently Associated With Health-Related Quality of Life After Primary Total Hip Arthroplasty: An Institutional Registry-Based Study.

    Science.gov (United States)

    McLawhorn, Alexander S; Steinhaus, Michael E; Southren, Daniel L; Lee, Yuo-Yu; Dodwell, Emily R; Figgie, Mark P

    2017-01-01

    The purpose of this study was to compare the health-related quality of life (HRQoL) of patients across World Health Organization (WHO) body mass index (BMI) classes before and after total hip arthroplasty (THA). Patients with end-stage hip osteoarthritis who received elective primary unilateral THA were identified through an institutional registry and categorized based on the World Health Organization BMI classification. Age, sex, laterality, year of surgery, and Charlson-Deyo comorbidity index were recorded. The primary outcome was the EQ-5D-3L index and visual analog scale (EQ-VAS) scores at 2 years postoperatively. Inferential statistics and regression analyses were performed to determine associations between BMI classes and HRQoL. EQ-5D-3L scores at baseline and at 2 years were statistically different across BMI classes, with higher EQ-VAS and index scores in patients with lower BMI. There was no difference observed for the 2-year change in EQ-VAS scores, but there was a statistically greater increase in index scores for more obese patients. In the regression analyses, there were statistically significant negative effect estimates for EQ-VAS and index scores associated with increasing BMI class. BMI class is independently associated with lower HRQoL scores 2 years after primary THA. While absolute scores in obese patients were lower than in nonobese patients, obese patients enjoyed more positive changes in EQ-5D index scores after THA. These results may provide the most detailed information on how BMI influences HRQoL before and after THA, and they are relevant to future economic decision analyses on the topic. Copyright © 2016 Elsevier Inc. All rights reserved.

  1. Individual and shared effects of social environment and polygenic risk scores on adolescent body mass index.

    Science.gov (United States)

    Coleman, Jonathan R I; Krapohl, Eva; Eley, Thalia C; Breen, Gerome

    2018-04-20

    Juvenile obesity is associated with adverse health outcomes. Understanding genetic and environmental influences on body mass index (BMI) during adolescence could inform interventions. We investigated independent and interactive effects of parenting, socioeconomic status (SES) and polygenic risk on BMI pre-adolescence, and on the rate of change in BMI across adolescence. Genome-wide genotype data, BMI and child perceptions of parental warmth and punitive discipline were available at 11 years old, and parental SES was available from birth on 3,414 unrelated participants. Linear models were used to test the effects of social environment and polygenic risk on pre-adolescent BMI. Change in BMI across adolescence was assessed in a subset (N = 1943). Sex-specific effects were assessed. Higher genetic risk was associated with increased BMI pre-adolescence and across adolescence (p parenting was not significantly associated with either phenotype, but lower SES was associated with increased BMI pre-adolescence. No interactions passed correction for multiple testing. Polygenic risk scores from adult GWAS meta-analyses are associated with BMI in juveniles, suggesting a stable genetic component. Pre-adolescent BMI was associated with social environment, but parental style has, at most, a small effect.

  2. Does BMI influence hospital stay and morbidity after fast-track hip and knee arthroplasty?

    DEFF Research Database (Denmark)

    Husted, Henrik; Jørgensen, Christoffer C; Gromov, Kirill

    2016-01-01

    Background and purpose - Body mass index (BMI) outside the normal range possibly affects the perioperative morbidity and mortality following total hip arthroplasty (THA) and total knee arthroplasty (TKA) in traditional care programs. We determined perioperative morbidity and mortality in such pat......Background and purpose - Body mass index (BMI) outside the normal range possibly affects the perioperative morbidity and mortality following total hip arthroplasty (THA) and total knee arthroplasty (TKA) in traditional care programs. We determined perioperative morbidity and mortality...... in such patients who were operated with the fast-track methodology and compared the levels with those in patients with normal BMI. Patients and methods - This was a prospective observational study involving 13,730 procedures (7,194 THA and 6,536 TKA operations) performed in a standardized fast-track setting....... Complete 90-day follow-up was achieved using national registries and review of medical records. Patients were grouped according to BMI as being underweight, of normal weight, overweight, obese, very obese, and morbidly obese. Results - Median length of stay (LOS) was 2 (IQR: 2-3) days in all BMI groups. 30...

  3. 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.

  4. Maternal obesity is the new challenge; a qualitative study of health professionals’ views towards suitable care for pregnant women with a Body Mass Index (BMI ≥30 kg/m2

    Directory of Open Access Journals (Sweden)

    Smith Debbie M

    2012-12-01

    Full Text Available Abstract Background An increase in the number of women with maternal obesity (Body Mass Index [BMI] ≥30 kg/m2 has had a huge impact on the delivery of maternity services. As part of a programme of feasibility work to design an antenatal lifestyle programme for women with a BMI ≥30 kg/m2, the current study explored health professionals’ experiences of caring for women with a BMI ≥30 kg/m2 and their views of the proposed lifestyle programme. Method Semi-structured interviews with 30 health professionals (including midwives, sonographers, anaesthetists and obstetricians were conducted and analysed using thematic analysis. Recruitment occurred in two areas in the North West of England in early 2011. Results Three themes were evident. Firstly, obesity was seen as a conversation stopper; obesity can be a challenge to discuss. Secondly, obesity was seen as a maternity issue; obesity has a direct impact on maternity care and therefore intervention is needed. Finally, the long-term impact of maternal obesity intervention; lifestyle advice in pregnancy has the potential to break the cyclic obesity relationship. The health professionals believed that antenatal lifestyle advice can play a key role in addressing the public health issue of obesity as pregnancy is a time of increased motivation for women with a BMI ≥30 kg/m2. Conclusions Maternal obesity is a challenge and details of the training content required for health professionals to feel confident to approach the issue of maternal obesity with women are presented. Support for the antenatal lifestyle programme for women with a BMI ≥30 kg/m2 highlights the need for further exploration of the impact of interventions on health promotion.

  5. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance

    DEFF Research Database (Denmark)

    Manning, Alisa K; Hivert, Marie-France; Scott, Robert A

    2012-01-01

    pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci...... associated with fasting insulin at P triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci...

  6. Earlier BMI rebound and lower pre-rebound BMI as risk of obesity among Japanese preschool children.

    Science.gov (United States)

    Kato, N; Isojima, T; Yokoya, S; Tanaka, T; Ono, A; Yokomichi, H; Yamagata, Z; Tanaka, S; Matsubara, H; Ishikuro, M; Kikuya, M; Chida, S; Hosoya, M; Kuriyama, S; Kure, S

    2018-01-01

    Longitudinal growth data of children were analyzed to clarify the relationship between the timing of body mass index (BMI) rebound and obesity risk in later ages. Of 54 558 children born between April 2004 and March 2005 and longitudinally measured in April and October every year in the preschool period, 15 255 children were analyzed wherein no longitudinal measurement is missing after 1 year of age. BMI rebound age was determined as the age with smallest BMI value across longitudinal individual data after 1 year of age. Rebound age was compared between overweight and non-overweight groups. The subjects were divided into groups based on the timing of rebound. The sex- and age-adjusted mean of the BMI, height and weight s.d. scores for age group, along with 6 months weight and height gain, were compared among groups using analysis of covariance. Among those who were overweight at 66-71 months of age, BMI rebound age obtained at approximately 3 years of age was compared with the non-overweight group, whose BMI rebound age was utmost 66 months or later (PBMI age group showed that earlier BMI rebound results in larger BMI (PBMI rebound earlier than 30 months of age, low BMI was observed (PBMI rebound among groups with rebound age earlier than 60 months of age (PBMI rebound timing with pre-rebound low BMI leads to greater childhood obesity risk; hence, early detection and prevention is necessary for such cases.

  7. BMI, waist circumference at 8 and 12 years of age and FVC and FEV

    NARCIS (Netherlands)

    M.B.M. Bekkers (Marga); A.H. Wijga (Alet); U. Gehring (Ulrike); G.H. Koppelman (Gerard); J.C. de Jongste (Johan); H.A. Smit (Henriëtte); B. Brunekreef (Bert)

    2015-01-01

    textabstractBackground: In adults, overweight is associated with reduced lung function, in children evidence on this association is conflicting. We examined the association of body mass index (BMI) and waist circumference (WC) at age 12, and of persistently (at ages 8 and 12 years) high BMI and

  8. Infant BMI peak, breastfeeding, and body composition at age 3 y

    DEFF Research Database (Denmark)

    Jensen, Signe Marie; Ritz, Christian; Ejlerskov, Katrine Tschentscher

    2015-01-01

    BACKGROUND: With the increasing focus on obesity, growth patterns in infancy and early childhood have gained much attention. Although the adiposity rebound has been in focus because of a shown association with adult obesity, not much has been published about the infant peak in body mass index (BMI......) cohort were used to estimate BMI growth curves for the age span from 14 d to 19 mo by using a nonlinear mixed-effects model. BMI growth velocity before peak and age and BMI at peak were derived from the subject-specific models. Information about pregnancy and breastfeeding was assessed from background...

  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 (prestaurants had a large, negative association to BMI (prestaurants 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. 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

    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.......31 (95% CI: 1.13, 1.51) per unit BMI z-score. Associations were similar in men and women and across birth cohorts. Childhood height was not related to cancer risk in men but was in women, although these analyses included just 38 female cases. HRs per unit height z-score at the age of 13 years were 1...

  11. Ferritin and body mass index predict cardiac dysfunction in female adolescents with anorexia of the restrictive type.

    Science.gov (United States)

    Docx, Martine K F; Weyler, Joost; Simons, Annik; Ramet, José; Mertens, Luc

    2015-08-01

    Decreased left ventricular mass index in anorexia nervosa is amply reported. The aim of this study is to identify non-burdensome predictors of reduced left yentricular mass/height (cLVM) in a cohort of adolescent restrictive anorexic girls. This is a retrospective study of all anorexic girls of the restrictive type referred to our tertiary eating disorder unit between September 2002 and December 2012, for somatic assessment of weig ht loss. All subjects fulfilled DMS-IV criteria, without a family history of cardiac or cardiovascular diseases. In all, 283 restrictive anorexic girls (age: 14.63 +/- 1.65 y; body mass index: 15.72 +/- 1.81 kg/m2) were included. Ferritin and body mass index were independent, statistically significant predictors of the corrected left ventricular mass (P anorexia nervosa of the restrictive type. Two factors predicted decreased cLVM in our population: ferritin and BMI.

  12. Arm Volumetry Versus Upper Extremity Lymphedema Index: Validity of Upper Extremity Lymphedema Index for Body-Type Corrected Arm Volume Evaluation.

    Science.gov (United States)

    Yamamoto, Nana; Yamamoto, Takumi; Hayashi, Nobuko; Hayashi, Akitatsu; Iida, Takuya; Koshima, Isao

    2016-06-01

    Volumetry, measurement of extremity volume, is a commonly used method for upper extremity lymphedema (UEL) evaluation. However, comparison between different patients with different physiques is difficult with volumetry, because body-type difference greatly affects arm volume. Seventy arms of 35 participants who had no history of arm edema or breast cancer were evaluated. Arm volume was calculated using a summed truncated cone model, and UEL index was calculated using circumferences and body mass index (BMI). Examinees' BMI was classified into 3 groups, namely, low BMI (BMI, 25 kg/m). Arm volume and UEL index were compared with corresponding BMI groups. Mean (SD) arm volume was 1090.9 (205.5) mL, and UEL index 96.9 (5.6). There were significant differences in arm volume between BMI groups [low BMI vs middle BMI vs high BMI, 945.2 (107.4) vs 1045.2 (87.5) vs 1443.1 (244.4) mL, P 0.5]. Arm volume significantly increased with increase of BMI, whereas UEL index stayed constant regardless of BMI. Upper extremity lymphedema index would allow better body-type corrected arm volume evaluation compared with arm volumetry.

  13. 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.

  14. Association of fat mass and obesity-associated and retinitis pigmentosa guanosine triphosphatase (GTPase) regulator-interacting protein-1 like polymorphisms with body mass index in Chinese women.

    Science.gov (United States)

    Chen, Boyu; Li, Zhiqiang; Chen, Jianhua; Ji, Jue; Shen, Jingyi; Xu, Yufeng; Zhao, Yingying; Liu, Danping; Shen, Yinhuan; Zhang, Weijie; Shen, Jiawei; Wang, Yonggang; Shi, Yongyong

    2018-04-14

    Body mass index (BMI) is the most commonly used quantitative measure of adiposity. It is a kind of complex genetic diseases which are caused by multiple susceptibility genes. The first intron of fat mass and obesity-associated (FTO) has been widely discovered to be associated with BMI. Retinitis pigmentosa GTPase regulator-interacting protein-1 like (RPGRIP1L) is located in the upstream region of FTO and has been proved to be linked with obesity through functional tests. We carried out a genetic association analysis to figure out the role of the FTO gene and the RPGRIP1L gene in BMI. A quantitative traits study with 6,102 Chinese female samples, adjusted for age, was performed during our project. Among the twelve SNPs, rs1421085, rs1558902, rs17817449, rs8050136, rs9939609, rs7202296, rs56137030, rs9930506 and rs12149832 in the FTO gene were significantly associated with BMI after Bonferroni correction. Meanwhile, rs9934800 in the RPGRIP1L gene showed significance with BMI before Bonferroni correction, but this association was eliminated after Bonferroni correction. Our results suggested that genetic variants in the FTO gene were strongly associated with BMI in Chinese women, which may serve as targets of pharmaceutical research and development concerning BMI. Meanwhile, we didn't found the significant association between RPGRIP1L and BMI in Chinese women.

  15. Quantifying the Role of Circulating Unconjugated Estradiol in Mediating the Body Mass Index-Breast Cancer Association.

    Science.gov (United States)

    Schairer, Catherine; Fuhrman, Barbara J; Boyd-Morin, Jennifer; Genkinger, Jeanine M; Gail, Mitchell H; Hoover, Robert N; Ziegler, Regina G

    2016-01-01

    Higher body mass index (BMI) and circulating estrogen levels each increase postmenopausal breast cancer risk, particularly estrogen receptor-positive (ER(+)) tumors. Higher BMI also increases estrogen production. We estimated the proportion of the BMI-ER(+) breast cancer association mediated through estrogen in a case-control study nested within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Participants included 143 women with invasive ER(+) breast cancer and 268 matched controls, all postmenopausal and never having used hormone therapy at baseline. We used liquid chromatography-tandem mass spectrometry to measure 15 estrogens and estrogen metabolites in baseline serum. We calculated BMI from self-reported height and weight at baseline. We estimated the mediating effect of unconjugated estradiol on the BMI-ER(+) breast cancer association using Aalen additive hazards and Cox regression models. All estrogens and estrogen metabolites were statistically significantly correlated with BMI, with unconjugated estradiol most strongly correlated [Pearson correlation (r) = 0.45]. Approximately 7% to 10% of the effect of overweight, 12% to 15% of the effect of obesity, and 19% to 20% of the effect of a 5 kg/m(2) BMI increase on ER(+) breast cancer risk was mediated through unconjugated estradiol. The BMI-breast cancer association, once adjusted for unconjugated estradiol, was not modified by further adjustment for two metabolic ratios statistically significantly associated with both breast cancer and BMI. Circulating unconjugated estradiol levels partially mediate the BMI-breast cancer association, but other potentially important estrogen mediators (e.g., bioavailable estradiol) were not evaluated. Further research is required to identify mechanisms underlying the BMI-breast cancer association. ©2015 American Association for Cancer Research.

  16. 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.

  17. Physical fitness in children with probable developmental coordination disorder and normal body mass index

    Directory of Open Access Journals (Sweden)

    Cynthia Yukiko Hiraga

    2014-01-01

    Full Text Available DOI: http://dx.doi.org/10.5007/1980-0037.2014v16n2p182   Changes in body mass index (BMI due to various factors, such as a low level of physical activity, are often associated with poor physical fitness in children with prob-able developmental coordination disorder (pDCD. This study examined whether children with pDCD would show poorer performance in terms of physical fitness when compared with their typically developing (TD peers. Thirty two children with pDCD and normal BMI and other 32 children with TD and normal BMI, matched by gender, age and BMI, performed the sit and reach, standing long jump, curl-up, modified pull-up and 9-min run tests. The children in the pDCD group showed lower explosive power, muscle strength and endurance, and cardiorespiratory fitness than children in the TD group. Overall, children with pDCD had lower levels of physical fitness, even with normal BMI.

  18. Aged-Related Changes in Body Composition and Association between Body Composition with Bone Mass Density by Body Mass Index in Chinese Han Men over 50-year-old.

    Directory of Open Access Journals (Sweden)

    Ying Jiang

    Full Text Available Aging, body composition, and body mass index (BMI are important factors in bone mineral density (BMD. Although several studies have investigated the various parameters and factors that differentially influence BMD, the results have been inconsistent. Thus, the primary goal of the present study was to further characterize the relationships of aging, body composition parameters, and BMI with BMD in Chinese Han males older than 50 years.The present study was a retrospective analysis of the body composition, BMI, and BMD of 358 Chinese male outpatients between 50 and 89 years of age that were recruited from our hospital between 2009 and 2011. Qualified subjects were stratified according to age and BMI as follows: 50-59 (n = 35, 60-69 (n = 123, 70-79 (n = 93, and 80-89 (n = 107 years of age and low weight (BMI: < 20 kg/m2; n = 21, medium weight (20 ≤ BMI < 24 kg/m2; n = 118, overweight (24 ≤ BMI < 28 kg/m2; n = 178, and obese (BMI ≥ 28 kg/m2; n = 41. Dual-energy X-ray absorptiometry (DEXA was used to assess bone mineral content (BMC, lean mass (LM, fat mass (FM, fat-free mass (FFM, lumbar spine (L1-L4 BMD, femoral neck BMD, and total hip BMD. Additionally, the FM index (FMI; FM/height2, LM index (LMI; LM/height2, FFM index (FFMI; [BMC+LM]/height2, percentage of BMC (%BMC; BMC/[BMC+FM+LM] × 100%, percentage of FM (%FM; FM/[BMC+FM+LM] × 100%, and percentage of LM (%LM; LM/(BMC+FM+LM × 100% were calculated. Osteopenia or osteoporosis was identified using the criteria and T-score of the World Health Organization.Although there were no significant differences in BMI among the age groups, there was a significant decline in height and weight according to age (p < 0.0001 and p = 0.0002, respectively. The LMI and FFMI also declined with age (both p < 0.0001 whereas the FMI exhibited a significant increase that peaked in the 80-89-years group (p = 0.0145. Although the absolute values of BMC and LM declined with age (p = 0.0031 and p < 0

  19. Gene-diet interaction effects on BMI levels in the Singapore Chinese population.

    Science.gov (United States)

    Chang, Xuling; Dorajoo, Rajkumar; Sun, Ye; Han, Yi; Wang, Ling; Khor, Chiea-Chuen; Sim, Xueling; Tai, E-Shyong; Liu, Jianjun; Yuan, Jian-Min; Koh, Woon-Puay; van Dam, Rob M; Friedlander, Yechiel; Heng, Chew-Kiat

    2018-02-24

    Recent genome-wide association studies (GWAS) have identified 97 body-mass index (BMI) associated loci. We aimed to evaluate if dietary intake modifies BMI associations at these loci in the Singapore Chinese population. We utilized GWAS information from six data subsets from two adult Chinese population (N = 7817). Seventy-eight genotyped or imputed index BMI single nucleotide polymorphisms (SNPs) that passed quality control procedures were available in all datasets. Alternative Healthy Eating Index (AHEI)-2010 score and ten nutrient variables were evaluated. Linear regression analyses between z score transformed BMI (Z-BMI) and dietary factors were performed. Interaction analyses were performed by introducing the interaction term (diet x SNP) in the same regression model. Analysis was carried out in each cohort individually and subsequently meta-analyzed using the inverse-variance weighted method. Analyses were also evaluated with a weighted gene-risk score (wGRS) contructed by BMI index SNPs from recent large-scale GWAS studies. Nominal associations between Z-BMI and AHEI-2010 and some dietary factors were identified (P = 0.047-0.010). The BMI wGRS was robustly associated with Z-BMI (P = 1.55 × 10 - 15 ) but not with any dietary variables. Dietary variables did not significantly interact with the wGRS to modify BMI associations. When interaction analyses were repeated using individual SNPs, a significant association between cholesterol intake and rs4740619 (CCDC171) was identified (β = 0.077, adjP interaction  = 0.043). The CCDC171 gene locus may interact with cholesterol intake to increase BMI in the Singaporean Chinese population, however most known obesity risk loci were not associated with dietary intake and did not interact with diet to modify BMI levels.

  20. Impact of maternal body mass index and gestational weight gain on neonatal outcomes among healthy Middle-Eastern females.

    Science.gov (United States)

    Papazian, Tatiana; Abi Tayeh, Georges; Sibai, Darine; Hout, Hala; Melki, Imad; Rabbaa Khabbaz, Lydia

    2017-01-01

    Studies on the relative impact of body mass index in women in childbearing age and gestational weight gain on neonatal outcomes are scarce in the Middle East. The primary objective of this research was to assess the impact of maternal body mass index (BMI) and gestational weight gain (GWG) on neonatal outcomes. The effect of maternal age and folic acid supplementation before and during pregnancy was also examined. This is a retrospective cross sectional observational study of 1000 full term deliveries of women enrolled thru the National Collaborative Perinatal Neonatal Network, in Lebanon. Maternal characteristics such as age, BMI and GWG and neonatal outcomes such as weight, height, head circumference and Apgar score were the primary studied variables in this study. Total maternal weight gain were compared to the guidelines depicted by the Institute of Medicine (IOM). The negative outcomes of newborns such as lean body weight and macrosomia were significantly present in women who gained respectively below or above the IOM's cut-off points. Pregestational body mass index influenced significantly the infants' birth weight, in both the underweight and obese categories. Birth height, head circumference and Apgar score were not influenced by pregestational body mass index or gestational weight gain. No significant associations were found between maternal age and pregestational body mass index and gestational weight gain. Studies evaluating the impact of weight before and during pregnancy on neonatal outcomes and anthropometrics measurements are lacking in the Middle East. Our results highlight the importance of nutritional counseling in order to shed the extra weights before conceiving and monitor weight gain to avoid the negative impact on feto-maternal health.

  1. Impact of maternal body mass index and gestational weight gain on neonatal outcomes among healthy Middle-Eastern females.

    Directory of Open Access Journals (Sweden)

    Tatiana Papazian

    Full Text Available Studies on the relative impact of body mass index in women in childbearing age and gestational weight gain on neonatal outcomes are scarce in the Middle East.The primary objective of this research was to assess the impact of maternal body mass index (BMI and gestational weight gain (GWG on neonatal outcomes. The effect of maternal age and folic acid supplementation before and during pregnancy was also examined.This is a retrospective cross sectional observational study of 1000 full term deliveries of women enrolled thru the National Collaborative Perinatal Neonatal Network, in Lebanon. Maternal characteristics such as age, BMI and GWG and neonatal outcomes such as weight, height, head circumference and Apgar score were the primary studied variables in this study. Total maternal weight gain were compared to the guidelines depicted by the Institute of Medicine (IOM.The negative outcomes of newborns such as lean body weight and macrosomia were significantly present in women who gained respectively below or above the IOM's cut-off points. Pregestational body mass index influenced significantly the infants' birth weight, in both the underweight and obese categories. Birth height, head circumference and Apgar score were not influenced by pregestational body mass index or gestational weight gain. No significant associations were found between maternal age and pregestational body mass index and gestational weight gain.Studies evaluating the impact of weight before and during pregnancy on neonatal outcomes and anthropometrics measurements are lacking in the Middle East. Our results highlight the importance of nutritional counseling in order to shed the extra weights before conceiving and monitor weight gain to avoid the negative impact on feto-maternal health.

  2. Relationship between Motor Skill and Body Mass Index in 5- to 10-Year-Old Children

    Science.gov (United States)

    D'Hondt, Eva; Deforche, Benedicte; De Bourdeaudhuij, Ilse; Lenoir, Matthieu

    2009-01-01

    The purpose of this study was to investigate gross and fine motor skill in overweight and obese children compared with normal-weight peers. According to international cut-off points for Body Mass Index (BMI) from Cole et al. (2000), all 117 participants (5-10 year) were classified as being normal-weight, overweight, or obese. Level of motor skill…

  3. 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...

  4. Kindergarten Self-Regulation as a Predictor of Body Mass Index and Sports Participation in Fourth Grade Students

    Science.gov (United States)

    Piche, Genevieve; Fitzpatrick, Caroline; Pagani, Linda S.

    2012-01-01

    Identifying early precursors of body mass index (BMI) and sports participation represents an important concern from a public health perspective and can inform the development of preventive interventions. This article examines whether kindergarten child self-regulation, as measured by classroom engagement and behavioral regulation, predicts healthy…

  5. Body Mass Index Trajectories from Adolescence to Early Young Adulthood : Do Adverse Life Events Play a Role?

    NARCIS (Netherlands)

    Elsenburg, Leonie K.; Smidt, Nynke; Hoek, Hans W.; Liefbroer, Aart C.

    2017-01-01

    Objective: The aim of this study was to investigate whether there are different classes of body mass index (BMI) development from early adolescence to young adulthood and whether these classes are related to the number of adverse life events children experienced. Methods: Data were from the TRAILS

  6. Body mass index and retinopathy in Asian populations with diabetes mellitus.

    Science.gov (United States)

    Rooney, David; Lye, Weng Kit; Tan, Gavin; Lamoureux, Ecosse L; Ikram, Mohammad Kamran; Cheng, Ching-Yu; Kumari, Neelam; Zheng, Ying Feng; Mitchell, Paul; Wang, Jie Jin; Wong, Tien Y; Sabanayagam, Charumathi

    2015-02-01

    Body mass index (BMI) is an established risk factor for diabetes. However, the association between BMI and diabetic retinopathy (DR) has been inconclusive. We aimed to assess the association between BMI and DR in a large population-based sample of multi-ethnic Asian adults in Singapore. We examined 2,278 adults aged ≥40 years with diabetes who participated in three population-based studies conducted from 2004 to 2011: the Singapore Malay Eye Study, the Singapore Indian Eye Study, and the Singapore Chinese Eye Study. Retinal photographs taken from both eyes were graded for any and vision-threatening (VTDR) using the modified Airlie House Classification. BMI (kg/m(2)) was categorized into normal/underweight (<25), overweight (25-29.9), and obese (≥30). The prevalence rates of any and VTDR in the study population were 35.1 % and 9.1 %, respectively. The prevalence of any and VTDR decreased with increasing categories of BMI (P trend <0.001 and 0.005). In multivariable models adjusted for potential confounders, compared to those with normal weight, the odds ratio (95 % confidence interval) of any DR was 0.71 (0.57-0.88) for overweight and 0.70 (0.53-0.92) for obese. Corresponding estimates for VTDR were 0.84 (0.59-1.21) for overweight and 0.58 (0.35-0.94) for obese. The inverse association between BMI and any DR was consistently present when BMI was analyzed as a continuous variable and in analyses stratified by ethnicity and age. In a population-based sample of multi-ethnic Asian adults, BMI levels were inversely associated with any DR and VTDR.

  7. 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...... 9-year olds. However, the limitations of the few earlier studies make reliable comparisons difficult....

  8. Comparative study of metabolic profile of women presenting with polycystic ovary syndrome in relation to body mass index

    OpenAIRE

    Akshaya S.; Ratnaboli Bhattacharya

    2016-01-01

    Background: Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovaries (PCO). The objective was to study and compare the metabolic effects of PCOS in lean PCOS (BMI 23). Methods: Fifty healthy women who were euthyroid with age range 15-38 years who presented to gynecology OPD and diagnosed to have PCOS according to ESHRE/ASRM criteria were included in the study. BMI (body mass index) was calculated by the formula weight in kg/height ...

  9. Body Mass Index, Metabolic Factors, and Striatal Activation During Stressful and Neutral-Relaxing States: An fMRI Study

    OpenAIRE

    Jastreboff, Ania M; Potenza, Marc N; Lacadie, Cheryl; Hong, Kwangik A; Sherwin, Robert S; Sinha, Rajita

    2010-01-01

    Stress is associated with alterations in neural motivational-reward pathways in the ventral striatum (VS), hormonal/metabolic changes, and weight increases. The relationship between these different factors is not well understood. We hypothesized that body mass index (BMI) status and hormonal/metabolic factors would be associated with VS activation. We used functional magnetic resonance imaging (fMRI) to compare brain responses of overweight and obese (OW/OB: BMI ⩾25 kg/m2: N=27) individuals w...

  10. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

    NARCIS (Netherlands)

    Turcot, Valérie; Lu, Yingchang; Highland, Heather M; Schurmann, Claudia; Justice, Anne E.; Fine, Rebecca S; Bradfield, Jonathan P.; Esko, Tõnu; Giri, Ayush; Graff, Mariaelisa; Guo, Xiuqing; Hendricks, Audrey E.; Karaderi, Tugce; Lempradl, Adelheid; Locke, Adam E.; Mahajan, Anubha; Marouli, Eirini; Sivapalaratnam, Suthesh; Young, Kristin L; Alfred, Tamuno; Feitosa, Mary F.; Masca, Nicholas G D; Manning, Alisa K.; Medina-Gomez, Carolina; Mudgal, Poorva; Ng, Maggie C Y; Reiner, Alex P.; Vedantam, Sailaja; Willems, Sara M; Winkler, Thomas W.; Abecasis, Gonçalo; Aben, Katja K H; Alam, Dewan S.; Alharthi, Sameer E; Allison, Matthew A.; Amouyel, Philippe; Asselbergs, Folkert W; Auer, Paul L.; Balkau, Beverley; Bang, Lia E; Barroso, Inês; Bastarache, Lisa; Benn, Marianne; Bergmann, Sven; Bielak, Lawrence F.; Blüher, Matthias; Boehnke, Michael; Boeing, Heiner; Boerwinkle, Eric; Böger, Carsten A; Bork-Jensen, Jette; Bots, Michiel L; Bottinger, Erwin P.; Bowden, Donald W.; Brandslund, Ivan; Breen, Gerome; Brilliant, Murray H; Broer, Linda; Brumat, Marco; Burt, Amber; Butterworth, Adam S.; Campbell, Peter T.; Cappellani, Stefania; Carey, David J; Catamo, Eulalia; Caulfield, Mark J.; Chambers, John C.; Chasman, Daniel I.; Chen, Yii-Der Ida; Chowdhury, Rajiv; Christensen, Cramer; Chu, Audrey Y; Cocca, Massimiliano; Collins, Francis S.; Cook, James P.; Corley, Janie; Corominas Galbany, Jordi; Cox, Amanda J; Crosslin, David S; Cuellar-Partida, Gabriel; D'Eustacchio, Angela; Danesh, John; Davies, Gail; De Bakker, Paul I W; de Groot, Mark C H; de Mutsert, Renée; Deary, Ian J.; Dedoussis, George; Demerath, Ellen W.; den Heijer, Martin; Den Hollander, Anneke I.; Ruijter, Hester M; Dennis, Joe G; Denny, Josh C; Angelantonio, Emanuele Di; Drenos, Fotios; Du, Mengmeng; Dubé, Marie-Pierre; Dunning, Alison M.; Easton, Douglas F.; Edwards, Todd L.; Ellinghaus, David; Ellinor, Patrick T; Elliott, Paul; Evangelou, Evangelos; Farmaki, Aliki-Eleni; Farooqi, I. Sadaf; Faul, Jessica D.; Fauser, Sascha; Feng, Shuang; Ferrannini, Ele; Ferrieres, Jean; Florez, Jose C; Ford, Ian; Fornage, Myriam; Franco, Oscar H.; Franke, Andre; Franks, Paul W.; Friedrich, Nele; Frikke-Schmidt, Ruth; Galesloot, Tessel E.; Gan, Wei; Gandin, Ilaria; Gasparini, Paolo; Gibson, Jane; Giedraitis, Vilmantas; Gjesing, Anette P; Gordon-Larsen, Penny; Gorski, Mathias; Grabe, Hans-Jörgen; Grant, Struan F. A.; Grarup, Niels; Griffiths, Helen L; Grove, Megan L.; Gudnason, Vilmundur; Gustafsson, Stefan; Haessler, Jeff; Hakonarson, Hakon; Hammerschlag, Anke R; Hansen, Torben; Harris, Kathleen Mullan; Harris, Tamara B.; Hattersley, Andrew T.; Have, Christian T; Hayward, Caroline; He, Liang; Heard-Costa, Nancy L.; Heath, Andrew C.; Heid, Iris M.; Helgeland, Øyvind; Hernesniemi, Jussi; Hewitt, Alex W; Holmen, Oddgeir L; Hovingh, G. Kees; Howson, Joanna M M; Hu, Yao; Huang, Paul L; Huffman, Jennifer E.; Ikram, M. Arfan; Ingelsson, Erik; Jackson, Anne U.; Jansson, Jan Håkan; Jarvik, Gail P; Jensen, Gorm B; Jia, Yucheng; Johansson, Stefan; Jørgensen, Marit E; Jørgensen, Torben; Jukema, J. Wouter; Kahali, Bratati; Kahn, René S; Kähönen, Mika; Kamstrup, Pia R; Kanoni, Stavroula; Kaprio, Jaakko; Karaleftheri, Maria; Kardia, Sharon L. R.; Karpe, Fredrik; Kathiresan, Sekar; Kee, Frank; Kiemeney, Lambertus A.; Kim, Eric; Kitajima, Hidetoshi; Komulainen, Pirjo; Kooner, Jaspal S.; Kooperberg, Charles; Korhonen, Tellervo; Kovacs, Peter; Kuivaniemi, Helena; Kutalik, Zoltán; Kuulasmaa, Kari; Kuusisto, Johanna; Laakso, Markku; Lakka, Timo A.; Lamparter, David; Lange, Ethan M.; Lange, Leslie A.; Langenberg, Claudia; Larson, Eric B.; Lee, Nanette R.; Lehtimäki, Terho; Lewis, Cora E; Li, Huaixing; Li, Jin; Li-Gao, Ruifang; Lin, Honghuang; Lin, Keng-Hung; Lin, Li-An; Lin, Xu; Lind, Lars; Lindström, Jaana; Linneberg, Allan; Liu, Ching-Ti; Liu, Dajiang J.; Liu, Yongmei; Lo, Ken Sin; Lophatananon, Artitaya; Lotery, Andrew J.; Loukola, Anu; Luan, Jian'an; Lubitz, Steven A.; Lyytikäinen, Leo-Pekka; Männistö, Satu; Marenne, Gaëlle; Mazul, Angela L; McCarthy, Mark I.; McKean-Cowdin, Roberta; Medland, Sarah E.; Meidtner, Karina; Milani, Lili; Mistry, Vanisha; Mitchell, Paul; Mohlke, Karen L.; Moilanen, Leena; Moitry, Marie; Montgomery, Grant W.; Mook-Kanamori, Dennis O; Moore, Carmel; Mori, Trevor A; Morris, Andrew D.; Morris, Andrew P.; Müller-Nurasyid, Martina; Munroe, Patricia B.; Nalls, Mike A.; Narisu, Narisu; Nelson, Christopher P.; Neville, Matt; Nielsen, Sune F.; Nikus, Kjell; Njølstad, Pål Rasmus; Nordestgaard, Børge G.; Nyholt, Dale R.; O'Connel, Jeffrey R.; O'Donoghue, Michelle L; Olde Loohuis, Loes M; Ophoff, Roel A; Owen, Katharine R; Packard, Chris J.; Padmanabhan, Sandosh; Palmer, Colin N. A.; Palmer, Nicholette D.; Pasterkamp, Gerard; Patel, Aniruddh P; Pattie, Alison; Pedersen, Oluf; Peissig, Peggy L.; Peloso, Gina M.; Pennell, Craig E.; Perola, Markus; Perry, James A; Perry, John R. B.; Pers, Tune H.; Person, Thomas N; Peters, Annette; Petersen, Eva R B; Peyser, Patricia A.; Pirie, Ailith; Polasek, Ozren; Polderman, Tinca J; Puolijoki, Hannu; Raitakari, Olli T.; Rasheed, Asif; Rauramaa, Rainer; Reilly, Dermot F; Renström, Frida; Rheinberger, Myriam; Ridker, Paul M.; Rioux, John D.; Rivas, Manuel A; Roberts, David J; Robertson, Neil R.; Robino, Antonietta; Rolandsson, Olov; Rudan, Igor; Ruth, Katherine S.; Saleheen, Danish; Salomaa, Veikko; Samani, Nilesh J.; Sapkota, Yadav; Sattar, Naveed; Schoen, Robert E.; Schreiner, Pamela J.; Schulze, Matthias B.; Scott, Robert A.; Segura-Lepe, Marcelo P; Shah, Svati H; Sheu, Wayne H. -H.; Sim, Xueling; Slater, Andrew J; Small, Kerrin S; Smith, Albert V.; Southam, Lorraine; Spector, Timothy D; Speliotes, Elizabeth K.; Starr, John M.; Stefansson, Kari; Steinthorsdottir, Valgerdur; Stirrups, Kathleen E; Strauch, Konstantin; Stringham, Heather M.; Stumvoll, Michael; Sun, Liang Dan; Surendran, Praveen; Swift, Amy J.; Tada, Hayato; Tansey, Katherine E; Tardif, Jean-Claude; Taylor, Kent D.; Teumer, Alexander; Thompson, Deborah J.; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Thuesen, Betina Heinsbek; Tönjes, Anke; Tromp, Gerard; Trompet, Stella; Tsafantakis, Emmanouil; Tuomilehto, Jaakko; Tybjaerg-Hansen, Anne; Tyrer, Jonathan P.; Uher, Rudolf; Uitterlinden, André G.; Uusitupa, Matti; Laan, Sander W; Van Duijn, Cornelia M.; Leeuwen, Nienke; van Setten, Jessica; Vanhala, Mauno; Varbo, Anette; Varga, Tibor V.; Varma, Rohit; Velez Edwards, Digna R; Vermeulen, Sita H H M; Veronesi, Giovanni; Vestergaard, Henrik; Vitart, Veronique; Vogt, Thomas F; Völker, Uwe; Vuckovic, Dragana; Wagenknecht, Lynne E.; Walker, Mark; Wallentin, Lars; Wang, Feijie; Wang, Carol A.; Wang, Shuai; Wang, Yiqin; Ware, Erin B.; Wareham, Nicholas J.; Warren, Helen R.; Waterworth, Dawn M.; Wessel, Jennifer; White, Harvey D; Willer, Cristen J.; Wilson, James G.; Witte, Daniel R; Wood, Andrew R.; Wu, Ying; Yaghootkar, Hanieh; Yao, Jie; Yao, Pang; Yerges-Armstrong, Laura M.; Young, Robin; Zeggini, Eleftheria; Zhan, Xiaowei; Zhang, Weihua; Zhao, Jing Hua; Zhao, Wei; Zhou, Wei; Zondervan, Krina T.; Rotter, Jerome I.; Pospisilik, John A; Rivadeneira, Fernando; Borecki, Ingrid B.; Deloukas, Panos; Frayling, Timothy M.; Lettre, Guillaume; North, Kari E.; Lindgren, Cecilia M.; Hirschhorn, Joel N.; Loos, Ruth J. F.

    Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734

  11. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

    NARCIS (Netherlands)

    Turcot, Valérie; Lu, Yingchang; Highland, Heather M.; Schurmann, Claudia; Justice, Anne E.; Fine, Rebecca S.; Bradfield, Jonathan P.; Esko, Tõnu; Giri, Ayush; Graff, Mariaelisa; Guo, Xiuqing; Hendricks, Audrey E.; Karaderi, Tugce; Lempradl, Adelheid; Locke, Adam E.; Mahajan, Anubha; Marouli, Eirini; Sivapalaratnam, Suthesh; Young, Kristin L.; Alfred, Tamuno; Feitosa, Mary F.; Masca, Nicholas G. D.; Manning, Alisa K.; Medina-Gomez, Carolina; Mudgal, Poorva; Ng, Maggie C. Y.; Reiner, Alex P.; Vedantam, Sailaja; Willems, Sara M.; Winkler, Thomas W.; Abecasis, Gonçalo; Aben, Katja K.; Alam, Dewan S.; Alharthi, Sameer E.; Allison, Matthew; Amouyel, Philippe; Asselbergs, Folkert W.; Auer, Paul L.; Balkau, Beverley; Bang, Lia E.; Barroso, Inês; Bastarache, Lisa; Benn, Marianne; Bergmann, Sven; Bielak, Lawrence F.; Blüher, Matthias; Boehnke, Michael; Boeing, Heiner; Boerwinkle, Eric; Böger, Carsten A.; Bork-Jensen, Jette; Bots, Michiel L.; Bottinger, Erwin P.; Bowden, Donald W.; Brandslund, Ivan; Breen, Gerome; Brilliant, Murray H.; Broer, Linda; Brumat, Marco; Burt, Amber A.; Butterworth, Adam S.; Campbell, Peter T.; Cappellani, Stefania; Carey, David J.; Catamo, Eulalia; Caulfield, Mark J.; Chambers, John C.; Chasman, Daniel I.; Chen, Yii-der I.; Chowdhury, Rajiv; Christensen, Cramer; Chu, Audrey Y.; Cocca, Massimiliano; Collins, Francis S.; Cook, James P.; Corley, Janie; Corominas Galbany, Jordi; Cox, Amanda J.; Crosslin, David S.; Cuellar-Partida, Gabriel; D'Eustacchio, Angela; Danesh, John; Davies, Gail; Bakker, Paul I. W.; Groot, Mark C. H.; Mutsert, Renée; Deary, Ian J.; Dedoussis, George; Demerath, Ellen W.; Heijer, Martin; Hollander, Anneke I.; Ruijter, Hester M.; Dennis, Joe G.; Denny, Josh C.; Angelantonio, Emanuele; Drenos, Fotios; Du, Mengmeng; Dubé, Marie-Pierre; Dunning, Alison M.; Easton, Douglas F.; Edwards, Todd L.; Ellinghaus, David; Ellinor, Patrick T.; Elliott, Paul; Evangelou, Evangelos; Farmaki, Aliki-Eleni; Farooqi, I. Sadaf; Faul, Jessica D.; Fauser, Sascha; Feng, Shuang; Ferrannini, Ele; Ferrieres, Jean; Florez, Jose C.; Ford, Ian; Fornage, Myriam; Franco, Oscar H.; Franke, Andre; Franks, Paul W.; Friedrich, Nele; Frikke-Schmidt, Ruth; Galesloot, Tessel E.; Gan, Wei; Gandin, Ilaria; Gasparini, Paolo; Gibson, Jane; Giedraitis, Vilmantas; Gjesing, Anette P.; Gordon-Larsen, Penny; Gorski, Mathias; Grabe, Hans-Jörgen; Grant, Struan F. A.; Grarup, Niels; Griffiths, Helen L.; Grove, Megan L.; Gudnason, Vilmundur; Gustafsson, Stefan; Haessler, Jeff; Hakonarson, Hakon; Hammerschlag, Anke R.; Hansen, Torben; Harris, Kathleen Mullan; Harris, Tamara B.; Hattersley, Andrew T.; Have, Christian T.; Hayward, Caroline; He, Liang; Heard-Costa, Nancy L.; Heath, Andrew C.; Heid, Iris M.; Helgeland, Øyvind; Hernesniemi, Jussi; Hewitt, Alex W.; Holmen, Oddgeir L.; Hovingh, G. Kees; Howson, Joanna M. M.; Hu, Yao; Huang, Paul L.; Huffman, Jennifer E.; Ikram, M. Arfan; Ingelsson, Erik; Jackson, Anne U.; Jansson, Jan-Håkan; Jarvik, Gail P.; Jensen, Gorm B.; Jia, Yucheng; Johansson, Stefan; Jørgensen, Marit E.; Jørgensen, Torben; Jukema, J. Wouter; Kahali, Bratati; Kahn, René S.; Kähönen, Mika; Kamstrup, Pia R.; Kanoni, Stavroula; Kaprio, Jaakko; Karaleftheri, Maria; Kardia, Sharon L. R.; Karpe, Fredrik; Kathiresan, Sekar; Kee, Frank; Kiemeney, Lambertus A.; Kim, Eric; Kitajima, Hidetoshi; Komulainen, Pirjo; Kooner, Jaspal S.; Kooperberg, Charles; Korhonen, Tellervo; Kovacs, Peter; Kuivaniemi, Helena; Kutalik, Zoltán; Kuulasmaa, Kari; Kuusisto, Johanna; Laakso, Markku; Lakka, Timo A.; Lamparter, David; Lange, Ethan M.; Lange, Leslie A.; Langenberg, Claudia; Larson, Eric B.; Lee, Nanette R.; Lehtimäki, Terho; Lewis, Cora E.; Li, Huaixing; Li, Jin; Li-Gao, Ruifang; Lin, Honghuang; Lin, Keng-Hung; Lin, Li-An; Lin, Xu; Lind, Lars; Lindström, Jaana; Linneberg, Allan; Liu, Ching-Ti; Liu, Dajiang J.; Liu, Yongmei; Lo, Ken S.; Lophatananon, Artitaya; Lotery, Andrew J.; Loukola, Anu; Luan, Jian'an; Lubitz, Steven A.; Lyytikäinen, Leo-Pekka; Männistö, Satu; Marenne, Gaëlle; Mazul, Angela L.; McCarthy, Mark I.; McKean-Cowdin, Roberta; Medland, Sarah E.; Meidtner, Karina; Milani, Lili; Mistry, Vanisha; Mitchell, Paul; Mohlke, Karen L.; Moilanen, Leena; Moitry, Marie; Montgomery, Grant W.; Mook-Kanamori, Dennis O.; Moore, Carmel; Mori, Trevor A.; Morris, Andrew D.; Morris, Andrew P.; Müller-Nurasyid, Martina; Munroe, Patricia B.; Nalls, Mike A.; Narisu, Narisu; Nelson, Christopher P.; Neville, Matt; Nielsen, Sune F.; Nikus, Kjell; Njølstad, Pål R.; Nordestgaard, Børge G.; Nyholt, Dale R.; O'Connel, Jeffrey R.; O'Donoghue, Michelle L.; Olde Loohuis, Loes M.; Ophoff, Roel A.; Owen, Katharine R.; Packard, Chris J.; Padmanabhan, Sandosh; Palmer, Colin N. A.; Palmer, Nicholette D.; Pasterkamp, Gerard; Patel, Aniruddh P.; Pattie, Alison; Pedersen, Oluf; Peissig, Peggy L.; Peloso, Gina M.; Pennell, Craig E.; Perola, Markus; Perry, James A.; Perry, John R. B.; Pers, Tune H.; Person, Thomas N.; Peters, Annette; Petersen, Eva R. B.; Peyser, Patricia A.; Pirie, Ailith; Polasek, Ozren; Polderman, Tinca J.; Puolijoki, Hannu; Raitakari, Olli T.; Rasheed, Asif; Rauramaa, Rainer; Reilly, Dermot F.; Renström, Frida; Rheinberger, Myriam; Ridker, Paul M.; Rioux, John D.; Rivas, Manuel A.; Roberts, David J.; Robertson, Neil R.; Robino, Antonietta; Rolandsson, Olov; Rudan, Igor; Ruth, Katherine S.; Saleheen, Danish; Salomaa, Veikko; Samani, Nilesh J.; Sapkota, Yadav; Sattar, Naveed; Schoen, Robert E.; Schreiner, Pamela J.; Schulze, Matthias B.; Scott, Robert A.; Segura-Lepe, Marcelo P.; Shah, Svati H.; Sheu, Wayne H.-H.; Sim, Xueling; Slater, Andrew J.; Small, Kerrin S.; Smith, Albert V.; Southam, Lorraine; Spector, Timothy D.; Speliotes, Elizabeth K.; Starr, John M.; Stefansson, Kari; Steinthorsdottir, Valgerdur; Stirrups, Kathleen E.; Strauch, Konstantin; Stringham, Heather M.; Stumvoll, Michael; Sun, Liang; Surendran, Praveen; Swift, Amy J.; Tada, Hayato; Tansey, Katherine E.; Tardif, Jean-Claude; Taylor, Kent D.; Teumer, Alexander; Thompson, Deborah J.; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Thuesen, Betina H.; Tönjes, Anke; Tromp, Gerard; Trompet, Stella; Tsafantakis, Emmanouil; Tuomilehto, Jaakko; Tybjaerg-Hansen, Anne; Tyrer, Jonathan P.; Uher, Rudolf; Uitterlinden, André G.; Uusitupa, Matti; Laan, Sander W.; Duijn, Cornelia M.; Leeuwen, Nienke; van Setten, Jessica; Vanhala, Mauno; Varbo, Anette; Varga, Tibor V.; Varma, Rohit; Velez Edwards, Digna R.; Vermeulen, Sita H.; Veronesi, Giovanni; Vestergaard, Henrik; Vitart, Veronique; Vogt, Thomas F.; Völker, Uwe; Vuckovic, Dragana; Wagenknecht, Lynne E.; Walker, Mark; Wallentin, Lars; Wang, Feijie; Wang, Carol A.; Wang, Shuai; Wang, Yiqin; Ware, Erin B.; Wareham, Nicholas J.; Warren, Helen R.; Waterworth, Dawn M.; Wessel, Jennifer; White, Harvey D.; Willer, Cristen J.; Wilson, James G.; Witte, Daniel R.; Wood, Andrew R.; Wu, Ying; Yaghootkar, Hanieh; Yao, Jie; Yao, Pang; Yerges-Armstrong, Laura M.; Young, Robin; Zeggini, Eleftheria; Zhan, Xiaowei; Zhang, Weihua; Zhao, Jing Hua; Zhao, Wei; Zhou, Wei; Zondervan, Krina T.; Rotter, Jerome I.; Pospisilik, John A.; Rivadeneira, Fernando; Borecki, Ingrid B.; Deloukas, Panos; Frayling, Timothy M.; Lettre, Guillaume; North, Kari E.; Lindgren, Cecilia M.; Hirschhorn, Joel N.; Loos, Ruth J. F.

    2018-01-01

    Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734

  12. Body mass index, height and risk of adenocarcinoma of the oesophagus and gastric cardia: A prospective cohort study

    NARCIS (Netherlands)

    Merry, A.H.H.; Schouten, L.J.; Goldbohm, R.A.; Brandt, P.A. van den

    2007-01-01

    Background: In the last decades, the incidence of oesophageal and gastric cardia adenocarcinoma has increased rapidly in the Western world. We investigated the association between body mass index (BMI), height and risk of oesophageal and gastric cardia adenocarcinoma. Methods: The Netherlands Cohort

  13. BMI, waist circumference at 8 and 12 years of age and FVC and FEV

    NARCIS (Netherlands)

    Bekkers, Marga B.; Wijga, Alet H.; Gehring, Ulrike; Koppelman, Gerard H.; de Jongste, Johan C.; Smit, Henriette A.; Brunekreef, Bert

    2015-01-01

    Background: In adults, overweight is associated with reduced lung function, in children evidence on this association is conflicting. We examined the association of body mass index (BMI) and waist circumference (WC) at age 12, and of persistently (at ages 8 and 12 years) high BMI and large WC, with

  14. Exploring nutritional status, physical activity and body mass index of Pakistani teens

    OpenAIRE

    Kiran Khan; Nazia Jameel; Rehana Khalil; Saadia Gul

    2016-01-01

    Background: Obesity is becoming an increasingly prevalent problem in Pakistan, as it has in other developing countries. Childhood obesity poses high cost to the well-being and negatively affects children's health, causes chronic disease as children grow older. The aim of this study was to explore nutritional status, physical activity and body mass index (BMI) of school and college going students of mid and late adolescence age (14 to 19 years) studying in multi-ethnic city of Karachi, Pakista...

  15. 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

    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. The prevalence of hip dysplasia ranged from 5.4% to 12.8% depending on the radiographical index used. Radiological hip OA...

  16. Fibromyalgia and Obesity: The Association Between Body Mass Index and Disability, Depression, History of Abuse, Medications, and Comorbidities.

    Science.gov (United States)

    Gota, Carmen E; Kaouk, Sahar; Wilke, William S

    2015-09-01

    The aim of this study was to determine the frequency of increasing body mass index (BMI) in fibromyalgia (FM) and to understand the impact of increasing BMI on FM. Patients with FM were divided into 3 BMI classifications: normal weight, overweight, and obese. We then sought relationships of increasing BMI to core process FM variables and symptoms and disability, as well as medical comorbidities and demographic, socioeconomic, psychiatric, and treatment data. Of 224 patients, 0.4% were underweight; 25.9%, normal weight; 29.9%, overweight; 43.8%, obese. We found no differences within groups with regard to age, gender, demographics, FM symptoms, FM impact questionnaire scores, and meeting the American College of Rheumatology 1990 criteria and FM survey criteria. Patients with FM who are obese, compared with normal-weight patients, have higher depression scores measured by Patient Health Questionnaire 9 (13.2 [6.6] vs 10.5 [6], P = 0.03), report increased disability by Health Assessment Questionnaire Disability Index scores (1.3 [0.6] vs 0.9 [0.6], P BMI with the Health Assessment Questionnaire Disability Index (not FM impact questionnaire) and depression. We confirm that the prevalence of overweight and obesity is high in FM and believe that physicians treating FM should be aware of our bivariate linear correlations and discuss weight loss with their FM patients. Even if increasing BMI is not intrinsic to FM, it contributes to poor mood and functional outcome and should be a treatment goal.

  17. Association between Body Mass Index and Dental Caries among Anganwadi Children of Belgaum City, India.

    Science.gov (United States)

    Aluckal, Eby; Anzil, Ksa; Baby, Mathews; George, Eldhose K; Lakshmanan, Sanju; Chikkanna, Shilpa

    2016-10-01

    Body mass index (BMI) is an index that measures height for weight, which is commonly used to categorize underweight, overweight, and obese individuals. Deviation from normal weight results from an imbalance between caloric consumption and energy expenditure. Childhood obesity and childhood dental caries are coincidental in many populations, probably due to common confounding risk factors, such as intake frequency, cariogenic diet, and poor oral hygiene. So the aim of the present study was to assess the BMI status and to corelate between dental caries and BMI among the Anganwadi children of Belgaum city, Karnataka, India. Four hundred and thirty three children from 20 Anganwadi's belonging to the age group of 2 to 6 years of both sexes were measured for BMI and dental caries status. The caries index was measured as the number of decayed (d) and filled (f) teeth (t) (dft). The BMI in units of kg/m 2 was determined and children were categorized according to age-and gender-specific criteria as underweight (95th percentile). The data were subjected to statistical analysis using Student's t-test, analysis of variance (ANOVA), and Karl Pearson's correlation coefficient test with the help of Statistical Package for the Social Sciences (SPSS) version 18.0. The proportion of subjects in Centre for Disease Control (CDC) weight categories was: 5% underweight, 79% normal, 9% under the risk for overweight, and 6% overweight. A significant association was found between children with normal BMI and those who were underweight, overweight, and under the risk for overweight. Children with overweight/obese or underweight/malnourished children had higher decayed and filled surfaces compared to children with normal weight. Nutritional status has a profound effect on dental caries. Both underweight/malnutrition and overweight/ obesity have significant adverse implications for health. Childhood obesity and childhood dental caries are coincidental in many populations.

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

    Directory of Open Access Journals (Sweden)

    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.

  19. Geographic Accessibility Of Food Outlets Not Associated With Body Mass Index Change Among Veterans, 2009-14.

    Science.gov (United States)

    Zenk, Shannon N; Tarlov, Elizabeth; Wing, Coady; Matthews, Stephen A; Jones, Kelly; Tong, Hao; Powell, Lisa M

    2017-08-01

    In recent years, various levels of government in the United States have adopted or discussed subsidies, tax breaks, zoning laws, and other public policies that promote geographic access to healthy food. However, there is little evidence from large-scale longitudinal or quasi-experimental research to suggest that the local mix of food outlets actually affects body mass index (BMI). We used a longitudinal design to examine whether the proximity of food outlets, by type, was associated with BMI changes between 2009 and 2014 among 1.7 million veterans in 382 metropolitan areas. We found no evidence that either absolute or relative geographic accessibility of supermarkets, fast-food restaurants, or mass merchandisers was associated with changes in an individual's BMI over time. While policies that alter only geographic access to food outlets may promote equitable access to healthy food and improve nutrition, our findings suggest they will do little to combat obesity in adults. Project HOPE—The People-to-People Health Foundation, Inc.

  20. Correction of body-mass index using body-shape perception and socioeconomic status in adolescent self-report surveys.

    Science.gov (United States)

    Legleye, Stéphane; Beck, François; Spilka, Stanislas; Chau, Nearkasen

    2014-01-01

    To propose a simple correction of body-mass index (BMI) based on self-reported weight and height (reported BMI) using gender, body shape perception and socioeconomic status in an adolescent population. 341 boys and girls aged 17-18 years were randomly selected from a representative sample of 2165 French adolescents living in Paris surveyed in 2010. After an anonymous self-administered pen-and-paper questionnaire asking for height, weight, body shape perception (feeling too thin, about the right weight or too fat) and socioeconomic status, subjects were measured and weighed. BMI categories were computed according to Cole's cut-offs. Reported BMIs were corrected using linear regressions and ROC analyses and checked with cross-validation and multiple imputations to handle missing values. Agreement between actual and corrected BMI values was estimated with Kappa indexes and Intraclass correlation coefficients (ICC). On average, BMIs were underreported, especially among girls. Kappa indexes between actual and reported BMI were low, especially for girls: 0.56 95%CI = [0.42-0.70] for boys and 0.45 95%CI = [0.30-0.60] for girls. The regression of reported BMI by gender and body shape perception gave the most balanced results for both genders: the Kappa and ICC obtained were 0.63 95%CI = [0.50-0.76] and 0.67, 95%CI = [0.58-0.74] for boys; 0.65 95%CI = [0.52-0.78] and 0.74, 95%CI = [0.66-0.81] for girls. The regression of reported BMI by gender and socioeconomic status led to similar corrections while the ROC analyses were inaccurate. Using body shape perception, or socioeconomic status and gender is a promising way of correcting BMI in self-administered questionnaires, especially for girls.

  1. Associations between depressive symptoms, self-efficacy, eating styles, exercise and body mass index in women.

    Science.gov (United States)

    Clum, Gretchen A; Rice, Janet C; Broussard, Marsha; Johnson, Carolyn C; Webber, Larry S

    2014-08-01

    This article explores cross-sectional associations between depressive symptoms and body mass index (BMI) in women working in schools in the Greater New Orleans area. Self-efficacy for eating and exercise, eating styles, and exercise are examined as potential pathways. This is a secondary data analysis of 743 women who were participating in a workplace wellness randomized controlled trial to address environmental factors influencing eating and exercise behaviors using baseline data prior to the intervention. BMI was the primary outcome examined. Path analysis suggested that increased depressive symptoms were associated with increased BMI in women. Indirect effects of depressive symptoms on BMI were found for increased healthy eating self-efficacy, increased emotional eating, and decreased exercise self-efficacy. The association between greater healthy eating self efficacy and BMI was unexpected, and may indicate a suppressor effect of eating self-efficacy in the relationship between depressive symptoms and BMI in women. The findings suggest the importance of depressive symptoms to BMI in women. Targets for interventions to reduce BMI include targeting depressive symptoms and related sequelae including self-efficacy for exercise, and emotional eating. Further investigation of eating self-efficacy and BMI are recommended with particular attention to both efficacy for health eating and avoidance of unhealthy foods.

  2. Histologically Measured Cardiomyocyte Hypertrophy Correlates with Body Height as Strongly as with Body Mass Index

    Directory of Open Access Journals (Sweden)

    Richard E. Tracy

    2011-01-01

    Full Text Available Cardiac myocytes are presumed to enlarge with left ventricular hypertrophy (LVH. This study correlates histologically measured myocytes with lean and fat body mass. Cases of LVH without coronary heart disease and normal controls came from forensic autopsies. The cross-sectional widths of myocytes in H&E-stained paraffin sections followed log normal distributions almost to perfection in all 104 specimens, with constant coefficient of variation across the full range of ventricular weight, as expected if myocytes of all sizes contribute proportionately to hypertrophy. Myocyte sizes increased with height. By regression analysis, height2.7 as a proxy for lean body mass and body mass index (BMI as a proxy for fat body mass, exerted equal effects in the multiple correlation with myocyte volume, and the equation rejected race and sex. In summary, myocyte sizes, as indexes of LVH, suggest that lean and fat body mass may contribute equally.

  3. Body mass index, new modes of TV viewing and active video games.

    Science.gov (United States)

    Falbe, J; Willett, W C; Rosner, B; Field, A E

    2017-10-01

    Recent technologies have changed screen time. TV can be viewed anywhere, anytime. Content can be collected via digital recorders and online streaming and viewed on smartphones. Video games are no longer strictly sedentary. We sought to assess the unknown relations between new modes of TV viewing - recorded, online, downloaded and on hand-held devices - and active video games with body mass index (BMI). Cross-sectional analysis of the 2011 wave of the Growing Up Today Study 2 cohort. We used gender-specific generalized estimating equations to examine screen time and BMI among 3071 women and 2050 men aged 16-24 years. Among women, each hour/day of online TV (0.47; confidence interval [CI]: 0.12, 0.82) and total non-broadcast TV (0.37; CI: 0.14, 0.61) was associated with higher BMI, as was watching ≥ 1/2 h week -1 of TV on hand-held devices (1.04; CI: 0.32-1.77). Active video games were associated with BMI among women, but not after restricting to those not trying to lose/maintain weight. Broadcast TV was associated with higher BMI (kg m -2 ) among women and men (P < 0.05). Among women, online TV, TV viewed on hand-held devices and the sum of non-broadcast TV time were associated with higher BMI. Broadcast TV was also associated with BMI in women and men. © 2016 World Obesity Federation.

  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. 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.

  6. Longitudinal Study of Body Mass Index in Young Males and the Transition to Fatherhood.

    Science.gov (United States)

    Garfield, Craig F; Duncan, Greg; Gutina, Anna; Rutsohn, Joshua; McDade, Thomas W; Adam, Emma K; Coley, Rebekah Levine; Chase-Lansdale, P Lindsay

    2016-11-01

    Despite a growing understanding that the social determinants of health have an impact on body mass index (BMI), the role of fatherhood on young men's BMI is understudied. This longitudinal study examines BMI in young men over time as they transition from adolescence into fatherhood in a nationally representative sample. Data from all four waves of the National Longitudinal Study of Adolescent Health supported a 20-year longitudinal analysis of 10,253 men beginning in 1994. A "fatherhood-year" data set was created and changes in BMI were examined based on fatherhood status (nonfather, nonresident father, resident father), fatherhood years, and covariates. Though age is positively associated with BMI over all years for all men, comparing nonresident and resident fathers with nonfathers reveals different trajectories based on fatherhood status. Entrance into fatherhood is associated with an increase in BMI trajectory for both nonresident and resident fathers, while nonfathers exhibit a decrease over the same period. In this longitudinal, population-based study, fatherhood and residence status play a role in men's BMI. Designing obesity prevention interventions for young men that begin in adolescence and carry through young adulthood should target the distinctive needs of these populations, potentially improving their health outcomes. © The Author(s) 2015.

  7. Decreased physical activity attributable to higher body mass index influences fibromyalgia symptoms.

    Science.gov (United States)

    Vincent, Ann; Clauw, Daniel; Oh, Terry H; Whipple, Mary O; Toussaint, Loren L

    2014-09-01

    Although previous studies report associations between increased body mass index (BMI) and fibromyalgia symptoms, there is uncertainty as to whether this relationship is driven by physical factors, psychological factors, or both. To assess these relationships in a clinical sample of patients with fibromyalgia. Cross-sectional study. Tertiary care facility. A total of 686 patients from an existing national fibromyalgia registry. Patients completed a demographic form and self-report questionnaires including the Fibromyalgia Impact Questionnaire-Revised (FIQ-R), the Medical Outcomes Study Short Form-36 (SF-36), the Brief Pain Inventory (BPI), and the 30-item Profile of Mood States (30-item POMS). FIQ-R overall impact subscale. BMI was significantly correlated with fibromyalgia impact (P BMI and fibromyalgia impact was almost fully accounted for by physical factors and not by psychological factors. Despite patient report that pain hinders physical activity, clinicians who encounter patients with fibromyalgia, particularly patients with increased BMI, should be cognizant of the need to invest time and resources to counsel patients on physical factors (ie, physical activity) that could improve the patients' symptom experience. Copyright © 2014 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

  8. 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. ...

  9. Change in Body Mass Index Associated With Lowest Mortality in Denmark, 1976-2013.

    Science.gov (United States)

    Afzal, Shoaib; Tybjærg-Hansen, Anne; Jensen, Gorm B; Nordestgaard, Børge G

    2016-05-10

    Research has shown a U-shaped pattern in the association of body mass index (BMI) with mortality. Although average BMI has increased over time in most countries, the prevalence of cardiovascular risk factors may also be decreasing among obese individuals over time. Thus, the BMI associated with lowest all-cause mortality may have changed. To determine whether the BMI value that is associated with the lowest all-cause mortality has increased in the general population over a period of 3 decades. Three cohorts from the same general population enrolled at different times: the Copenhagen City Heart Study in 1976-1978 (n = 13,704) and 1991-1994 (n = 9482) and the Copenhagen General Population Study in 2003-2013 (n = 97,362). All participants were followed up from inclusion in the studies to November 2014, emigration, or death, whichever came first. For observational studies, BMI was modeled using splines and in categories defined by the World Health Organization. Body mass index was calculated as weight in kilograms divided by height in meters squared. Main outcome was all-cause mortality and secondary outcomes were cause-specific mortality. The number of deaths during follow-up was 10,624 in the 1976-1978 cohort (78% cumulative mortality; mortality rate [MR], 30/1000 person-years [95%CI, 20-46]), 5025 in the 1991-1994 cohort (53%; MR, 16/1000 person-years [95%CI, 9-30]), and 5580 in the 2003-2013 cohort (6%;MR, 4/1000 person-years [95%CI, 1-10]). Except for cancer mortality, the association of BMI with all-cause, cardiovascular, and other mortality was curvilinear (U-shaped). The BMI associated with the lowest all-cause mortality increased by 3.3 from the 1976-1978 cohort compared with the 2003-2013 cohort. [table: see text] The multivariable-adjusted hazard ratios for all-cause mortality for BMI of 30 or more vs BMI of 18.5 to 24.9 were 1.31 (95%CI, 1.23-1.39;MR, 46/1000 person-years [95%CI, 32-66] vs 28/1000 person-years [95%CI, 18-45]) in the 1976

  10. The importance of body satisfaction to physical self-concept and body mass index in Spanish adolescents.

    Science.gov (United States)

    Sánchez-Miguel, Pedro Antonio; González, Juan José Pulido; Sánchez-Oliva, David; Alonso, Diana Amado; Leo, Francisco Miguel

    2018-04-06

    This research examines the association between measured body mass index (BMI) and the perception of BMI by young students. Moreover, this research tests the importance of BMI and self-concept, in order to predict body dissatisfaction in high school students. The sample consisted of 2087 individuals from different high schools in Extremadura, Spain, both males (n = 1046) and females (n = 1041), ranging in age from 15 to 17 years old (M = 15.42; SD = 0.86). Initially, participants' BMIs were assessed through anthropometry. Later, all individuals were asked about their weight and height, and their self-reported BMI was calculated. Participants also answered a questionnaire about their perception of self-concept, as well as completed a test about body image perception using Stunkard images. Outcomes revealed that factors concerning self-concept and perceived BMI explained body dissatisfaction. Finally, results are discussed with the aim of improving knowledge in body dissatisfaction context. © 2018 International Union of Psychological Science.

  11. Accuracy of Body Mass Index Cutoffs for Classifying Obesity in Chilean Children and Adolescents

    Directory of Open Access Journals (Sweden)

    Rossana Gómez-Campos

    2016-05-01

    Full Text Available Objective: To determine the accuracy of two international Body Mass Index (BMI cut-offs for classifying obesity compared to the percentage of fat mass (%FM assessed by Dual-Energy X-ray Absorptiometry (DXA in a Chilean sample of children and adolescents; Material and Methods: The subjects studied included 280 children and adolescents (125 girls and 155 boys aged 8 to 17 years. Weight and height were measured. The BMI was calculated. Two international references (IOFT and WHO were used as cut-off points. The %FM was assessed by DXA. The receiver operating characteristic (ROC curve was used to assess the performance of BMI in detecting obesity on the basis of %FM; Results: A high correlation was observed between the %FM measured by the DXA and the Z-scores of IOTF and WHO scores in the Chilean adolescents separated by sex (r = 0.78–0.80. Differences occurred in both references (IOFT and WHO in relation to the criteria (p < 0.001. Both references demonstrated a good ability to predict sensitivity (between 84% and 93% and specificity (between 83% and 88% in both sexes of children and adolescents; Conclusions: A high correlation was observed between the Z-score of the BMI with the percentage of fat determined by the DXA. Despite this, the classifications using the different BMI cut-off points showed discrepancies. This suggests that the cut-off points selected to predict obesity in this sample should be viewed with caution.

  12. Self-compassion moderates the relationship between body mass index and both eating disorder pathology and body image flexibility.

    Science.gov (United States)

    Kelly, Allison C; Vimalakanthan, Kiruthiha; Miller, Kathryn E

    2014-09-01

    The current study examined whether self-compassion, the tendency to treat oneself kindly during distress and disappointments, would attenuate the positive relationship between body mass index (BMI) and eating disorder pathology, and the negative relationship between BMI and body image flexibility. One-hundred and fifty-three female undergraduate students completed measures of self-compassion, self-esteem, eating disorder pathology, and body image flexibility, which refers to one's acceptance of negative body image experiences. Controlling for self-esteem, hierarchical regressions revealed that self-compassion moderated the relationships between BMI and the criteria. Specifically, the positive relationship between BMI and eating disorder pathology and the negative relationship between BMI and body image flexibility were weaker the higher women's levels of self-compassion. Among young women, self-compassion may help to protect against the greater eating disturbances that coincide with a higher BMI, and may facilitate the positive body image experiences that tend to be lower the higher one's BMI. Copyright © 2014 Elsevier Ltd. All rights reserved.

  13. Body Image, Food Addiction, Depression, and Body Mass Index in University Students.

    Science.gov (United States)

    Şanlier, Nevin; Türközü, Duygu; Toka, Onur

    2016-01-01

    The relationship between body image, depression, food addiction and body mass index (BMI) and differences in these variables due to gender and field of education have not been studied extensively. This study was conducted on a total of 793 university students (20.19 ± 1.90 years). The Beck Depression Inventory, Yale Food Addiction, and Body Image Scale were used. It was determined that body image scores of females and individuals enrolled in health sciences programs were lower compared to those of males and those enrolled in the social sciences. There was a negative relationship between body image and depression and food addiction scores. There was a positive relationship between food addiction and depression scores, in addition to a positive relationship between food addiction and BMI.

  14. Body mass index and depressive symptoms in primary care settings: examining the moderating roles of smoking status, alcohol consumption and vigorous exercise.

    Science.gov (United States)

    Hooker, S A; MacGregor, K L; Funderburk, J S; Maisto, S A

    2014-02-01

    Depressive symptoms and obesity are highly prevalent in primary care settings. Depressive symptoms and obesity are positively related; as body weight increases, individuals are more likely to display depressive symptoms. This study examines the moderating roles of health behaviours (alcohol use, smoking status and vigorous exercise) on the relationship between body mass index and depressive symptoms. Exercise attenuates the relationship between depressive symptoms and obesity. Primary care patients often report multiple health risk behaviours and symptoms, including obesity and depressive symptomatology. This study examined the relationship between body mass index (BMI) and depressive symptomatology among primary care patients and tested its moderation by health behaviours. Primary care patients (n = 497) completed self-report questionnaires. Using three multilevel models, we tested the moderation of health behaviours on the BMI-depressive symptoms relationship. After controlling for relevant covariates, BMI was positively related to depressive symptoms. Smokers reported more depressive symptoms (P exercisers reported fewer (P  0.05). Only vigorous exercise significantly moderated the BMI-depression relationship (P < 0.05). BMI is positively related to depressive symptoms among patients who do not participate in vigorous activity, suggesting that vigorous activity reduces the risk for depressive symptoms among patients with higher BMI. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.

  15. Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokers.

    Directory of Open Access Journals (Sweden)

    Amy E Taylor

    2014-12-01

    Full Text Available We previously used a single nucleotide polymorphism (SNP in the CHRNA5-A3-B4 gene cluster associated with heaviness of smoking within smokers to confirm the causal effect of smoking in reducing body mass index (BMI in a Mendelian randomisation analysis. While seeking to extend these findings in a larger sample we found that this SNP is associated with 0.74% lower body mass index (BMI per minor allele in current smokers (95% CI -0.97 to -0.51, P = 2.00 × 10(-10, but also unexpectedly found that it was associated with 0.35% higher BMI in never smokers (95% CI +0.18 to +0.52, P = 6.38 × 10(-5. An interaction test confirmed that these estimates differed from each other (P = 4.95 × 10(-13. This difference in effects suggests the variant influences BMI both via pathways unrelated to smoking, and via the weight-reducing effects of smoking. It would therefore be essentially undetectable in an unstratified genome-wide association study of BMI, given the opposite association with BMI in never and current smokers. This demonstrates that novel associations may be obscured by hidden population sub-structure. Stratification on well-characterized environmental factors known to impact on health outcomes may therefore reveal novel genetic associations.

  16. Is risk of degenerative musculoskeletal conditions associated with pre-pregnancy body mass index and parity?

    DEFF Research Database (Denmark)

    Bliddal, Mette; Pottegård, Anton; Kirkegaard, Helene

    Background Obesity among women may influence the risk of degenerative musculoskeletal conditions (MSCs) and contribute to poor quality of life. Parity, which constitutes a sudden natural increase in weight as well it affects long-term body mass index (BMI), may put strain on the musculoskeletal....... Information on height and weight prior to pregnancy was obtained from telephone interviews and parity from the Danish Medical Birth Registry. Diagnoses on degenerative MSC including osteoarthritis, disc disorders, low back pain, and soft tissue disorders were obtained from the National Patient Registry......% confidence interval 1.41-1.83]). Conclusions High pre-pregnancy BMI increased the occurrence of degenerative MSC in the years following pregnancy and childbirth. In combination with increasing pre-pregnancy BMI, higher parity added to an already elevated risk. Prevention of maternal overweight may reduce...

  17. To evaluate the effect of pre-pregnancy body mass index on maternal and perinatal outcomes among adolescent pregnant women.

    Science.gov (United States)

    Kansu-Celik, Hatice; Kisa Karakaya, Burcu; Guzel, Ali Irfan; Tasci, Yasemin; Erkaya, Salim

    2017-07-01

    To evaluate the effect of pre-pregnancy body mass index on maternal and perinatal outcomes among adolescent pregnant women. We conducted this prospective cross-sectional study on 365 singleton adolescent pregnancies (aged between 16 and 20 years) at a Maternity Hospital, between December 2014 and March 2015. We divided participants into two groups based on pre-pregnancy body mass index (BMI): overweight and obese adolescent (BMI at or above 25.0 kg/m) and normal weight (BMI between 18.5 and 24.99 kg/m) adolescent. We used multivariate analysis to evaluate the association of the risk of adverse pregnancy outcomes and pre-pregnancy BMI. The prevalence of maternal overweight/obesity and normal weight was 34.6% (n = 80) and 65.4% (n = 261) in the study population, respectively. Compared with normal-weight teens (n = 234), overweight/obese teens (n = 71) were at higher risk for cesarean delivery (odds ratio [OR] 0.7, 95% confidence interval [CI] 0.4-1.4), preeclampsia (adjusted odds ratio [OR] 0.1, 95% confidence interval [CI] 0.02-0.9) and small of gestational age (odds ratio [OR] 0.2, 95% confidence interval [CI] 0.1-0.9). BMI increased during pre-pregnancy could be an important preventable risk factor for poor obstetric complications in adolescent pregnancies, and for these patients prevention strategies (e.g., nutritional counseling, weight-loss, regular physical activity) for obesity are recommended before getting pregnant.

  18. [Frequency and timing of meals and changes in body mass index: Analysis of the data from the Adventist Health Study-2].

    Science.gov (United States)

    Kahleová, Hana; Lloren, Jan Irene; Mashchak, Andrew; Hill, Martin; Fraser, Gary

    2016-01-01

    Our study focuses on examining the relationship between the frequency and timing of meals and changes in BMI in the Adventist Health Study-2 (AHS-2) which represents a relatively healthy population in North America. A longitudinal analysis was undertaken using data from 48 673 individuals monitored over an average period of 7.43 ± 1.24 years. The number of meals per day, length of nighttime fasting, eating breakfast and timing of the largest meal of the day (breakfast 5-11 a.m., lunch noon-4 p.m. or supper/dinner 5-11 p.m.) were used as independent variables. The primary output was the change in body mass index (BMI) once in a year. Linear regression analyses were adjusted for all important demographic factors and lifestyle factors. Consumption of 1 and 2 meals a day was associated with decrease in BMI (-0.04; 95% CI -0.06 to -0.03 and -0.02; 95% CI -0.03 to -0,01 kg.m-2 per year, respectively). On the other hand, consumption of 3 or more meals a day was associated with increase in BMI, in a linear relation (p < 0.001). BMI of those who skipped breakfast increased (0.029; 95% CI 0.021-0.037 kg.m-2 per year; p = 0.002) as compared to no BMI change in those who had breakfast (-0.0002; 95% CI -0.005 to + 0.004 kg.m-2 per year). Those, whose largest meal of the day was breakfast, recorded no significant change in BMI (-0.002 95% CI -0.008 to +0.004 kg.m-2 per year). On the contrary, the largest supper was associated with the greatest increase in BMI (0.034; 95% CI 0.029-0.040 kg.m-2 per year). Our results indicate that eating less frequently, consuming breakfast and having the largest meal in the morning hours may be effective measures to prevent weight gain.Key words: body mass index (BMI) - frequency and timing of meals - body mass regulation - breakfast.

  19. 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

    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....... 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...... adjustment for educational level. Conclusions: Education was the dimension most consistently associated with BMI and obesity, indicating the importance of cultural capital for weight status. The gender-specific pattern showed a stronger social gradient for women, and indicated that a high relative body...

  20. Effects of Initial Body Mass Index and Weight Change on All-Cause Mortality: A 10-Year Cohort Study in Korea.

    Science.gov (United States)

    Park, Susan; Pi, Sunmi; Hwang, Jinseub; Kang, Jae-Heon; Kwon, Jin-Won

    2018-02-01

    We evaluated the effects of baseline body mass index (BMI) and its changes over 4 years on all-cause mortality in Korean population. We analyzed 351 735 participants whose BMI was measured in both 2002/2003 and 2006/2007. Mortality was assessed until 2013. Multivariate hazard ratios for all-cause mortality were estimated. Underweight and severe obesity with BMI >30 kg/m 2 were significantly associated with higher mortality. Similarly, >5% decrease or >10% increase of BMI for 4 years was associated with the increased risk of death. Comparing the results between baseline BMI and BMI change, the BMI change showed more stable associations with mortality than the baseline BMI in subgroup analysis such as nonsmokers and healthy participants. This study suggests that BMI change could be a useful health indicator along with obesity level by BMI. In addition, maintaining a healthy weight is needed for longevity, but rapid weight change should be carefully monitored.

  1. 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...

  2. Body mass index and age at natural menopause: a meta-analysis.

    Science.gov (United States)

    Tao, Xingyong; Jiang, Anran; Yin, Liping; Li, Yingchun; Tao, Fangbiao; Hu, Huaqing

    2015-04-01

    There is no universal consensus on the relationship between body mass index (BMI) and age at natural menopause (ANM). The primary bias was confounding by cigarette smoking because smoking was a strong confounding factor related to lower BMI and earlier menopause. This meta-analysis was conducted to estimate the effect of BMI on ANM. Medline and EMBASE databases were searched for relevant studies up to December 2013. Studies were selected for analysis based on certain inclusion and exclusion criteria. Hazard ratios (HRs) with 95% CI were extracted to assess the association between BMI and early ANM. Nine studies were selected for this meta-analysis. The HR of early ANM was 1.08 (95% CI, 1.03-1.14; P < 0.01) in underweight women compared with women of normal BMI. Compared with women of normal BMI, overweight women (HR, 0.93; 95% CI, 0.91-0.96; P < 0.001) and obese women (HR, 0.95; 95% CI, 0.79-1.15; P = 0.59) were associated with late ANM. In addition, the HRs of early ANM in overweight and obese women were 0.92 (95% CI, 0.90-0.94; P < 0.001) and 0.88 (95% CI, 0.82-0.95; P < 0.001), respectively, compared with underweight women. A separate meta-analysis indicated that the results (HR, 0.85; 95% CI, 0.81-0.90; P < 0.001) changed markedly in the comparison of obese versus normal-weight women in studies that controlled for smoking. The results of our study indicate that increased BMI modestly associates with later ANM. The relationship between BMI and ANM needs further clarification in well-designed studies, especially studies well-controlled for smoking status.

  3. Family meals and body mass index among adolescents: effects of gender.

    Science.gov (United States)

    Goldfield, Gary S; Murray, Marisa A; Buchholz, Annick; Henderson, Katherine; Obeid, Nicole; Kukaswadia, Atif; Flament, Martine F

    2011-08-01

    Family meals have been identified as a protective factor against obesity among youth. However, gender specificities with respect to the relationship between the frequency of family meals and body mass index (BMI) have not been investigated. The purpose of this study was to examine the relationship between the frequency of family meals and BMI in male and female adolescents, while controlling for potential confounding factors associated with BMI, such as parental education, adolescent's age, and snack-food eating. Research participants were 734 male and 1030 female students (mean age, 14.12 years, SD = 1.62) recruited from middle schools and high schools in the capital region of Canada. Participants completed validated, self-report measures to assess the frequency of family meals and the risk factors associated with increased BMI, which was derived from objective measures of height and weight. After controlling for proposed confounding variables, a higher frequency of family meals was associated with lower BMI in females, but not in males. A Z-transformation test of the homogeneity of adjusted correlation coefficients showed a significant trend (p = 0.06), indicating that the relationship between family meals and BMI is stronger in females than males, consistent with our regression analyses. Our findings suggest that eating together as a family may be a protective factor against obesity in female adolescents, but not in male adolescents. Findings from this study have important implications for parents and health care practitioners advocating for more frequent family meals as part of a comprehensive obesity prevention and treatment program for female adolescents.

  4. Quasi-causal associations of physical activity and neighborhood walkability with body mass index: a twin study.

    Science.gov (United States)

    Duncan, Glen E; Cash, Stephanie Whisnant; Horn, Erin E; Turkheimer, Eric

    2015-01-01

    Physical activity, neighborhood walkability, and body mass index (BMI, kg/m(2)) associations were tested using quasi-experimental twin methods. We hypothesized that physical activity and walkability were independently associated with BMI within twin pairs, controlling for genetic and environmental background shared between them. Data were from 6376 (64% female; 58% identical) same-sex pairs, University of Washington Twin Registry, 2008-2013. Neighborhood walking, moderate-to-vigorous physical activity (MVPA), and BMI were self-reported. Residential address was used to calculate walkability. Phenotypic (non-genetically informed) and biometric (genetically informed) regression was employed, controlling for age, sex, and race. Walking and MVPA were associated with BMI in phenotypic analyses; associations were attenuated but significant in biometric analyses (PsWalkability was not associated with BMI, however, was associated with walking (but not MVPA) in both phenotypic and biometric analyses (Pswalkability is not associated with BMI, it is associated with neighborhood walking (but not MVPA) accounting for shared background, suggesting a causal relationship between them. Copyright © 2014 Elsevier Inc. All rights reserved.

  5. Associations between Substance Use and Body Mass Index: Moderating Effects of Sociodemographic Characteristics Among Taiwanese Adolescents

    Directory of Open Access Journals (Sweden)

    Tai-Ling Liu

    2010-06-01

    Full Text Available The aim of this study was to analyze the association between substance use and body mass index (BMI among adolescents in Southern Taiwan. A total of 10,259 adolescent students aged 11–19 years were selected by stratified random sampling for proportional representation of districts, schools and grades in Southern Taiwan, and completed the questionnaires. The body weight, body height, experience of substance use and sociodemographic characteristics including sex, age, residential background and paternal/maternal educational levels were collected. The association between substance use and BMI, and the moderating effects of sociodemographic characteristics were examined. After adjusting for sociodemographic characteristics, BMI was higher for adolescents who smoke cigarettes or drink alcohol than for those who do not regularly smoke or drink. Chewing betel nuts and using illicit drugs were not significantly associated with BMI. Paternal education level had a moderating effect on the association between smoking and BMI. Smoking, alcohol drinking, and low paternal education level were associated with higher BMI among adolescents. Thus, healthcare professionals should pay more attention to the weight-related problems among these adolescents.

  6. The Mediating Effect of Body Mass Index on the Relationship between Cigarette Smoking and Atopic Sensitization in Chinese Adults

    Directory of Open Access Journals (Sweden)

    Xiao Luo

    2015-03-01

    Full Text Available Background: It is unclear whether the relationship between cigarette smoking and atopy is mediated by body fat mass, such as the Body Mass Index (BMI. We assessed the mediating role of BMI on the relationship between smoking and atopy in Chinese adults. Methods: A hospital-based case-control study of 786 atopic cases and 2771 controls was conducted in adults aged 18 years or older from March 2010 to September 2014 in Harbin, China. Mediation models were used to estimate the indirect effects of smoking on atopic sensitization through BMI. Results: Compared to non-smokers, light smokers and moderate smokers had a lower risk of inhalant allergen sensitization. The indirect effect of smoking and sensitization to aeroallergens were only observed in light smokers (point estimate, −0.026; 95% CI, −0.062 to −0.004. The mediating roles of BMI on the relationships between smoking and other types of allergic sensitization were not statistically significant. Conclusion: BMI appeared to partially mediate the effect of light smoking on sensitization to aeroallergens. However, considering the other harmful health effects of cigarette smoking, the effective method to lower the incidence of atopy would be to decrease body fat mass by physical exercise and employing other more healthy ways of living rather than smoking.

  7. The Longitudinal Relation Between Accumulation of Adverse Life Events and Body Mass Index From Early Adolescence to Young Adulthood

    NARCIS (Netherlands)

    Elsenburg, Leonie K.; Smidt, Nynke; Liefbroer, Aart C.

    Objective: Stressors, such as adverse life events, can cause weight changes through behavioral and biological mechanisms. Whether the accumulation of adverse life events is related to body mass index (BMI) across multiple time points from early adolescence to young adulthood has not been

  8. The longitudinal relation between accumulation of adverse life events and body mass index from early adolescence to young adulthood

    NARCIS (Netherlands)

    Elsenburg, Leonie K.; Smidt, Nynke; Liefbroer, Aart C.

    2017-01-01

    Objective: Stressors, such as adverse life events, can cause weight changes through behavioral and biological mechanisms. Whether the accumulation of adverse life events is related to body mass index (BMI) across multiple time points from early adolescence to young adulthood has not been

  9. The Longitudinal Relation Between Accumulation of Adverse Life Events and Body Mass Index From Early Adolescence to Young Adulthood

    NARCIS (Netherlands)

    Elsenburg, L.; Smidt, N.; Liefbroer, A.C.

    2017-01-01

    Objective: Stressors, such as adverse life events, can cause weight changes through behavioral and biological mechanisms. Whether the accumulation of adverse life events is related to body mass index (BMI) across multiple time points from early adolescence to young adulthood has not been

  10. Geographic variation in the relationship between body mass index and the built environment.

    Science.gov (United States)

    Adachi-Mejia, Anna M; Lee, Chanam; Lee, Chunkuen; Carlos, Heather A; Saelens, Brian E; Berke, Ethan M; Doescher, Mark P

    2017-07-01

    Studies examining associations between weight status and neighborhood built environment (BE) have shown inconsistent results and have generally focused on urban settings. However, many Americans do not live in metropolitan areas and BE impacts may be different outside of metropolitan areas. We sought to examine whether the relationship between body mass index (BMI) and neighborhood BE exists and varies by geographic region across small towns in the United States. We conducted telephone surveys with 2156 adults and geographic information systems data in nine towns located within three geographic regions (Northeast, Texas, Washington) in 2011 and 2012. Multiple regression models examined the relationship between individual BMI and BE measures. Most physical activity variables were significantly associated with lower BMI in all geographic regions. We saw variation across geographic region in the relationship between characteristics of the BE variables and BMI. Some perceived and objectively-measured characteristics of the BE were significantly associated with adult BMI, but significant relationships varied by geographic region. For example, in the Northeast, perceived attractiveness of the neighborhood as a reason for why they chose to live there was associated with lower BMI; in Texas, the perceived presence of a fast food restaurant was negatively associated with BMI; in Washington, perceived presence of trees along the streets was associated with lower BMI. Our findings suggest that regional variation plays a role in the relationship between adult BMI and BE characteristics in small towns. Regardless of geographic location, interventions should encourage utilitarian walking and other forms of physical activity. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. Asian Americans have greater prevalence of metabolic syndrome despite lower body mass index.

    Science.gov (United States)

    Palaniappan, L P; Wong, E C; Shin, J J; Fortmann, S P; Lauderdale, D S

    2011-03-01

    To examine the relationship between body mass index (BMI) and metabolic syndrome for Asian Americans and non-Hispanic Whites (NHWs), given that existing evidence shows racial/ethnic heterogeneity exists in how BMI predicts metabolic syndrome. Electronic health records of 43,507 primary care patients aged 35 years and older with self-identified race/ethnicity of interest (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese or NHW) were analyzed in a mixed-payer, outpatient-focused health-care organization in the San Francisco Bay Area. Metabolic syndrome prevalence is significantly higher in Asians compared with NHWs for every BMI category. For women at the mean age of 55 and BMI of 25  kg  m(-2), the predicted prevalence of metabolic syndrome is 12% for NHW women compared with 30% for Asians; similarly for men, the predicted prevalence of metabolic syndrome is 22% for NHWs compared with 43% of Asians. Compared with NHW women and men with a BMI of 25  kg  m(-2), comparable prevalence of metabolic syndrome was observed at BMI of 19.6  kg  m(-2) for Asian women and 19.9  kg  m(-2) for Asian men. A similar pattern was observed in disaggregated Asian subgroups. In spite of the lower BMI values and lower prevalence of overweight/obesity than NHWs, Asian Americans have higher rates of metabolic syndrome over the range of BMI. Our results indicate that BMI ranges for defining overweight/obesity in Asian populations should be lower than for NHWs.

  12. The association between higher body mass index and poor school performance in high school students.

    Science.gov (United States)

    Tonetti, L; Fabbri, M; Filardi, M; Martoni, M; Natale, V

    2016-12-01

    This study aimed to examine the association between body mass index (BMI) and school performance in high school students by controlling for relevant mediators such as sleep quality, sleep duration and socioeconomic status. Thirty-seven high school students (mean age: 18.16 ± 0.44 years) attending the same school type, i.e. 'liceo scientifico' (science-based high school), were enrolled. Students' self-reported weight and height were used to calculate BMI. Participants wore an actigraph to objectively assess the quality and duration of sleep. School performance was assessed through the actual grade obtained at the final school-leaving exam, in which higher grades indicate higher performance. BMI, get-up time, mean motor activity, wake after sleep onset and number of awakenings were negatively correlated with the grade, while sleep efficiency was positively correlated. When performing a multiple regression analysis, BMI proved the only significant (negative) predictor of grade. When controlling for sleep quality, sleep duration and socioeconomic status, a higher BMI is associated with a poorer school performance in high school students. © 2015 World Obesity Federation.

  13. What kind of Relationship is Between Body Mass Index and Body Fat Percentage?

    Science.gov (United States)

    Kupusinac, Aleksandar; Stokić, Edita; Sukić, Enes; Rankov, Olivera; Katić, Andrea

    2017-01-01

    Although body mass index (BMI) and body fat percentage (B F %) are well known as indicators of nutritional status, there are insuficient data whether the relationship between them is linear or not. There are appropriate linear and quadratic formulas that are available to predict B F % from age, gender and BMI. On the other hand, our previous research has shown that artificial neural network (ANN) is a more accurate method for that. The aim of this study is to analyze relationship between BMI and B F % by using ANN and big dataset (3058 persons). Our results show that this relationship is rather quadratic than linear for both gender and all age groups. Comparing genders, quadratic relathionship is more pronounced in women, while linear relationship is more pronounced in men. Additionaly, our results show that quadratic relationship is more pronounced in old than in young and middle-age men and it is slightly more pronounced in young and middle-age than in old women.

  14. Energy absorption during impact on the proximal femur is affected by body mass index and flooring surface.

    Science.gov (United States)

    Bhan, Shivam; Levine, Iris C; Laing, Andrew C

    2014-07-18

    Impact mechanics theory suggests that peak loads should decrease with increase in system energy absorption. In light of the reduced hip fracture risk for persons with high body mass index (BMI) and for falls on soft surfaces, the purpose of this study was to characterize the effects of participant BMI, gender, and flooring surface on system energy absorption during lateral falls on the hip with human volunteers. Twenty university-aged participants completed the study with five men and five women in both low BMI (27.5 kg/m(2)) groups. Participants underwent lateral pelvis release experiments from a height of 5 cm onto two common floors and four safety floors mounted on a force plate. A motion-capture system measured pelvic deflection. The energy absorbed during the initial compressive phase of impact was calculated as the area under the force-deflection curve. System energy absorption was (on average) 3-fold greater for high compared to low BMI participants, but no effects of gender were observed. Even after normalizing for body mass, high BMI participants absorbed 1.8-fold more energy per unit mass. Additionally, three of four safety floors demonstrated significantly increased energy absorption compared to a baseline resilient-rolled-sheeting system (% increases ranging from 20.7 to 28.3). Peak system deflection was larger for high BMI persons and for impacts on several safety floors. This study indicates that energy absorption may be a common mechanism underlying the reduced risk of hip fracture for persons with high BMI and for those who fall on soft surfaces. Crown Copyright © 2014. Published by Elsevier Ltd. All rights reserved.

  15. Body mass index and psychosocial job quality: An analysis of working Australians from the Household, Income and Labour Dynamics in Australia survey.

    Science.gov (United States)

    Taouk, Yamna; Milner, Allison; LaMontagne, Anthony D

    2017-09-18

    The study investigated the association between psychosocial job quality and body mass index (BMI) by sex. Regression models examining potential differences in the job stressor-BMI relationship between men and women were conducted using longitudinal data from working Australians and a psychosocial job stressor index. There was strong evidence of an association between psychosocial job stressors and BMI for females but not males. Compared with no psychosocial job stressors, 1 adversity was associated with 0.13 kg/m2 (95% CI: -0.42-0.67); 2 adversities were associated with 0.53 kg/m2 (-0.00-1.07); and 3 or more adversities were associated with 0.87 kg/m2 (0.30-1.45) increase in mean BMI for females. Females were found to have on average 0.32 kg/m2 (0.16-0.49) increase in BMI per increase in psychosocial job stressor. Psychosocial job stressors appear to have an adverse effect on women's weight.

  16. THE RELATIONSHIP BETWEEN DIABETES MELLITUS AND BODY MASS INDEX: PRIMARY CARE FACILITY IN PUERTO RICO.

    Science.gov (United States)

    Chavier-Roper, Rolance G; Alick-Ortiz, Sharlene; Davila-Plaza, Geraldine; Morales-Quiñones, Aixa G

    2014-01-01

    Obesity is a major risk factor in the development of Diabetes Mellitus (DM). Body Mass Index (BMI), an estimation based on the persons weight and height, helps identify patients at risk to develop DM. We report the relationship between DM and BMI using data from a primary care facility in Puerto Rico. Patients were chosen at random with the only requirement to be included in this study was age over 50. A population of 200 patients was obtained and each participant was categorized by gender, weight, height, BMI and their status as a known diabetic or not. In respect to the diabetic population identified, which totaled 67 patients, 1 out of 67 (1%) were underweight, 14 out of 67 (20%) were normal, 28 out of 67 (42%) were overweight, and 24 out of 67 (36%) obese. 78% of the diabetic population fell in the categories of either overweight or obese. BMI increases the incidence of Diabetes Mellitus in patients older than 50 years of age.

  17. The Children's Body Image Scale: reliability and use with international standards for body mass index.

    Science.gov (United States)

    Truby, Helen; Paxton, Susan J

    2008-03-01

    To test the reliability of the Children's Body Image Scale (CBIS) and assess its usefulness in the context of new body size charts for children. Participants were 281 primary schoolchildren with 50% being retested after 3 weeks. The CBIS figure scale was compared with a range of international body mass index (BMI) reference standards. Children had a high degree of body image dissatisfaction. The test-retest reliability of the CBIS was supported. The CBIS is a useful tool for assessing body image in children with sound scale properties. It can also be used to identify the body size of children, which lies outside the healthy weight range of BMI.

  18. Which Type of Sedentary Behavior Intervention is More Effective at Reducing Body Mass Index in Children? A Meta-Analytic Review

    OpenAIRE

    Liao, Yue; Liao, Jingjing; Durand, Casey P.; Dunton, Genevieve F

    2013-01-01

    Sedentary behavior is emerging as an independent risk factor for pediatric obesity. Some evidence suggests that limiting sedentary behavior alone could be effective in reducing body mass index (BMI) in children. However, whether adding physical activity and diet-focused components to sedentary behavior reduction interventions could lead to an additive effect is unclear. This meta-analysis aims to assess the overall effect size of sedentary behavior interventions on BMI reduction, and to compa...

  19. The association between body mass index and duration spent on electronic devices in children and adolescents in Western Saudi Arabia

    OpenAIRE

    Al-Agha, Abdulmoein E.; Nizar, F. Sarah; Nahhas, Anwar M.

    2016-01-01

    Objectives: To evaluate the relationship between body mass index (BMI) and the duration spent on electronic devices, and to assess the factors that can cause obesity among children. Methods: A cross-sectional study including 541 participants. Data was collected from March to June 2015 via ambulatory pediatric clinics in Jeddah, Kingdom of Saudi Arabia. The BMI standard deviation was calculated based on Center of Disease Control and Prevention (CDC) standards. Results: The mean age of...

  20. 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,…

  1. Associations of maternal macronutrient intake during pregnancy with infant BMI peak characteristics and childhood BMI.

    Science.gov (United States)

    Chen, Ling-Wei; Aris, Izzuddin M; Bernard, Jonathan Y; Tint, Mya-Thway; Colega, Marjorelee; Gluckman, Peter D; Tan, Kok Hian; Shek, Lynette Pei-Chi; Chong, Yap-Seng; Yap, Fabian; Godfrey, Keith M; van Dam, Rob M; Chong, Mary Foong-Fong; Lee, Yung Seng

    2017-03-01

    Background: Infant body mass index (BMI) peak characteristics and early childhood BMI are emerging markers of future obesity and cardiometabolic disease risk, but little is known about their maternal nutritional determinants. Objective: We investigated the associations of maternal macronutrient intake with infant BMI peak characteristics and childhood BMI in the Growing Up in Singapore Towards healthy Outcomes study. Design: With the use of infant BMI data from birth to age 18 mo, infant BMI peak characteristics [age (in months) and magnitude (BMI peak ; in kg/m 2 ) at peak and prepeak velocities] were derived from subject-specific BMI curves that were fitted with the use of mixed-effects model with a natural cubic spline function. Associations of maternal macronutrient intake (assessed by using a 24-h recall during late gestation) with infant BMI peak characteristics ( n = 910) and BMI z scores at ages 2, 3, and 4 y were examined with the use of multivariable linear regression. Results: Mean absolute maternal macronutrient intakes (percentages of energy) were 72 g protein (15.6%), 69 g fat (32.6%), and 238 g carbohydrate (51.8%). A 25-g (∼100-kcal) increase in maternal carbohydrate intake was associated with a 0.01/mo (95% CI: 0.0003, 0.01/mo) higher prepeak velocity and a 0.04 (95% CI: 0.01, 0.08) higher BMI peak These associations were mainly driven by sugar intake, whereby a 25-g increment of maternal sugar intake was associated with a 0.02/mo (95% CI: 0.01, 0.03/mo) higher infant prepeak velocity and a 0.07 (95% CI: 0.01, 0.13) higher BMI peak Higher maternal carbohydrate and sugar intakes were associated with a higher offspring BMI z score at ages 2-4 y. Maternal protein and fat intakes were not consistently associated with the studied outcomes. Conclusion: Higher maternal carbohydrate and sugar intakes are associated with unfavorable infancy BMI peak characteristics and higher early childhood BMI. This trial was registered at clinicaltrials.gov as NCT

  2. Effect of BMI on Knee Joint Torques in Ergometer Rowing

    NARCIS (Netherlands)

    Roemer, Karen; Hortobagyi, Tibor; Richter, Chris; Munoz-Maldonado, Yolanda; Hamilton, Stephanie

    2013-01-01

    Although an authoritative panel recommended the use of ergometer rowing as a non-weight-bearing form of exercise for obese adults, the biomechanical characterization of ergometer rowing is strikingly absent. We examined the interaction between body mass index (BMI) relative to the lower extremity

  3. DIET, BODY MASS INDEX AND DENTAL CARIES AMONG THAI CHILDREN AGED 3 TO 5 YEARS.

    Science.gov (United States)

    Mitrakul, Kemthong; Arunakul, Malee; Asvanund, Yuwadee; Laisirireoungrai, Tanai; Praneechotiros, Tharawut; Tevavichulada, Peerapol

    2017-03-01

    Early childhood caries (ECC) can cause pain and interfere with healthy nutrition affecting a child growth. The aim of this study was to determine if there is an association between dental caries and body mass index (BMI) among Thai children aged 3 to 5 years. We randomly selected 100 students attending Suan Missakawan School, Bangkok, Thailand. We examined each child to determine the number of decayed, missing and filled teeth (DMFT) giving a DMFT score. We also measured the height and weight for each subject and calculated their body mass index (BMI) as weight in kilograms divided by height in meter squared. Parents or guardians were asked to complete a questionnaire asking general information and the diet of the child. Data from the questionnaire were analyzed using the Kruskal-Wallis test. Associations between caries and variables were examined using the Spearman’s correlation with significance set at pcaries (DMFT score=0), 32% had a few caries (DMFT score=0.1-3.0), 14% had many caries (DMFT scores=3.1-6.9), and 36% had very many caries (DMFT≥7). The DMFT score was not significantly associated with a history of sugar consumption or BMI. The DMFT score was significantly negatively associated with estimated fat consumption and estimated iron consumption based on the diet reported by the parents or guardians. Further studies are needed to determine if these reported diets reflect actual consumption and if the associations are still significant.

  4. Association of body mass index and the depletion of nigrostriatal dopamine in Parkinson's disease.

    Science.gov (United States)

    Lee, Jae Jung; Oh, Jungsu S; Ham, Jee H; Lee, Dong H; Lee, Injoo; Sohn, Young H; Kim, Jae S; Lee, Phil Hyu

    2016-02-01

    Several antecedent studies had reported close relationship between low body weight and Parkinson's disease (PD). However, there have been few investigations about the role of body weight to nigrostriatal dopaminergic neurodegeneration. This study enrolled 398 de novo patients with PD whom underwent [18F] N-(3-Fluoropropyl)-2β-carbon ethoxy-3β-(4-iodophenyl) nortropane positron emission tomography scan and body mass index (BMI) measurement. The relationships between BMI and dopamine transporter (DAT) activity were analyzed using linear regression analysis. A multivariate analysis adjusted for age, gender, disease duration, smoking status, coffee and tea consumption, and residence area revealed that BMI remained independently and significantly associated with DAT activity in all striatal subregions. Moreover, multiple logistic regression analyses showed that BMI was a significant predictor for the lowest quartile of DAT activity in the anterior putamen, ventral striatum, caudate nucleus, and total striatum. The present findings suggest that a low BMI might be closely associated with low density of nigrostriatal dopaminergic neurons in PD, which could support the evidence for the role of low body weight to PD-related pathologies. Copyright © 2016 Elsevier Inc. All rights reserved.

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

    Energy Technology Data Exchange (ETDEWEB)

    Zeng, Qiang; Dong, Sheng-Yong; Sun, Xiao-Nan; Xie, Jing; Cui, Yi [International Medical Center, Chinese PLA General Hospital, Beijing (China)

    2012-04-20

    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.

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

    International Nuclear Information System (INIS)

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

    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 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

  7. Relationship between age, sex and body mass index with fundamental motor skills among 3 to 6 years-old children

    Directory of Open Access Journals (Sweden)

    Vameghi Roshanak

    2013-01-01

    Full Text Available The prevalence of childhood obesity is a serious public health problem. This problem is a multi-component disease and several factors are involved in its development. The childhood obesity led to poor mastery of fundamental motor skills (FMS and failure to develop in specialized skills that required in organized sports and activities. Thus, the purpose of this study was to examine the relationship between age, sex and body mass index (BMI with FMS in 3 to 6 years-old children. A total of 600 preschool children (300 boys and 300 girls between the ages of 3 to 6 years old participated in this research. Subjects were selected through multi-stage cluster random sampling in five regions in Tehran. Using the Ohio State University Scale of Intra Gross Motor Assessment (OSU-SIGMA FMS were assess. Body mass index (BMI was directly measured from height (m2/weight (kg for each child. The results showed that the negative correlations between jumping, skipping, hopping and throwing skills and BMI in any 3 groups children were significant (P0.05. The boys were performed better than girls in all FMS except hopping and skipping skills. In these skills the girls were better performed in all ages. These results highlight the need to provide organized opportunities which facilitate FMS and decreased high BMI levels in preschool children.

  8. Influencing Factors of the Body Mass Index of Elementary Students in Southern Taiwan

    Directory of Open Access Journals (Sweden)

    Li-Na Chou

    2017-02-01

    Full Text Available The body mass index (BMI of school children in Taiwan is markedly increasing. According to statistical data from the Taiwan Ministry of Education, the prevalence of obesity in school children from the southern part of the country is the highest in Taiwan. Thus, exploring the factors influencing BMI in elementary school children from southern Taiwan is crucial. This study investigated the influencing factors including physical activity levels, sedentary behaviors, dietary habits, and perceived body shape on the BMIs of elementary school children from southern Taiwan. A cross-sectional design was used, and the participants consisted of 3251 fifth-grade students (1628 boys, 50.1%; 1623 girls, 49.9%. The average BMI values for boys and girls were 19.69 and 18.70 (kg/cm respectively. Statistically significant associations were observed between BMI and sex, 31–60 min of daily vigorous or moderate physical activities levels, length of time spent watching television, time spent on video games or the computer, and intake of vegetable or meat gravy with rice (p < 0.001. Perceived body shape also affected the BMI of school children. The results of this study enable educational institutions in Taiwan to understand the factors affecting the BMI of school children and use this information as the basis for future healthy body weight policies.

  9. Early community context, genes, and youth body mass index trajectories: an investigation of gene-community interplay over early life course.

    Science.gov (United States)

    Wickrama, Kandauda K A S; O'Neal, Catherine Walker; Lee, Tae Kyoung

    2013-09-01

    To investigate additive and interactive influences of community adversity and cumulative genetic sensitivity on youth body mass index (BMI) trajectories over adolescence and young adulthood. We used latent growth curve modeling to examine BMI trajectories over three waves (1995, 2001, and 2008) of the National Longitudinal Study of Adolescent Health (n = 14,563). We measured genetic sensitivity by a cumulative index of genes associated with serotonin and dopamine functions. Community adversity was positively associated with the initial level and rate of change in BMI trajectories over time. Adolescents experiencing community adversity had a higher BMI at Wave 1 and gained weight more quickly than those who did not live in adverse communities. Community adversity interacted with cumulative genetic sensitivity to explain variation in the rate of change in BMI trajectories. The influence of community adversity was greater for those with more sensitivity alleles than those with fewer sensitivity alleles. Gender, race/ethnicity, and family contexts were also associated with youth BMI trajectories. Community adversity in early adolescence, and its interaction with genes, has far-reaching consequences, including the rate of change in BMI trajectories extending into adulthood. This work has practical implications for future intervention/prevention programs. Published by Elsevier Inc.

  10. 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.

  11. 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.

    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.

  12. Urban sprawl, physical activity, and body mass index: Nurses' Health Study and Nurses' Health Study II.

    Science.gov (United States)

    James, Peter; Troped, Philip J; Hart, Jaime E; Joshu, Corinne E; Colditz, Graham A; Brownson, Ross C; Ewing, Reid; Laden, Francine

    2013-02-01

    We evaluated the association between the county sprawl index, a measure of residential density and street accessibility, and physical activity and body mass index (BMI). We conducted a multilevel cross-sectional analysis in a sample of Nurses' Health Study participants living throughout the United States in 2000 to 2001 (n = 136 592). In analyses adjusted for age, smoking status, race, and husband's education, a 1-SD (25.7) increase in the county sprawl index (indicating a denser, more compact county) was associated with a 0.13 kilograms per meters squared (95% confidence interval [CI] = -0.18, -0.07) lower BMI and 0.41 (95% CI = 0.17, 0.65) more metabolic equivalent (MET) hours per week of total physical activity, 0.26 (95% CI = 0.19, 0.33) more MET hours per week of walking, and 0.47 (95% CI = 0.34, 0.59) more MET hours per week of walking, bicycling, jogging, and running. We detected potential effect modification for age, previous disease status, husband's education level (a proxy for socioeconomic status), and race. Our results suggest that living in a dense, compact county may be conducive to higher levels of physical activity and lower BMI in women.

  13. Mammography dose in relation to body mass index, race, and menopausal status

    Energy Technology Data Exchange (ETDEWEB)

    Schubauer-Berigan, M.K.; Frey, G.D.; Baron, L.; Hoel, D.G

    2002-07-01

    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)

  14. Mammography dose in relation to body mass index, race, and menopausal status

    International Nuclear Information System (INIS)

    Schubauer-Berigan, M.K.; Frey, G.D.; Baron, L.; Hoel, D.G.

    2002-01-01

    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)

  15. Differences in genetic and environmental variation in adult BMI by sex, age, time period, and region

    DEFF Research Database (Denmark)

    Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo

    2017-01-01

    Background: Genes and the environment contribute to variation in adult body mass index [BMI (in kg/m(2))], but factors modifying these variance components are poorly understood.Objective: We analyzed genetic and environmental variation in BMI between men and women from young adulthood to old age...

  16. Differences in genetic and environmental variation in adult BMI by sex, age, time period, and region

    DEFF Research Database (Denmark)

    Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo

    2017-01-01

    Background: Genes and the environment contribute to variation in adult body mass index [BMI (in kg/m(2))], but factors modifying these variance components are poorly understood. Objective: We analyzed genetic and environmental variation in BMI between men and women from young adulthood to old age...

  17. Prediction of BMI by impulsivity, eating behavior and activity level

    Directory of Open Access Journals (Sweden)

    Jiang Xiaxia

    2016-01-01

    Full Text Available Objective: Discuss the relationship between the impulsivity, eating behavior and activity level and the body mass index (BMI. Method: Test 147 female college students with the impulsivity questionnaire (BIS-11 and BIS/BAS, Dutch Eating Behavior Questionnaire (DBEQ, Sitting Time Scale (STS and Exercising Time Scale (ETS. Results: (1 The correlation analysis indicates that BMI and impulsivity (r = 0.43 and 0.52 have a significant positive correlation with the sitting time (r = 0.61 and a significant negative correlation with the activity level (r= −0.49. (2 The path analysis indicates that the reward sensitivity directly affects BMI and indirectly affects BMI through the activity level as well; the eating behavior has an insignificantly direct impact on BMI, because its impact is generated by the intermediary role of induced diet. Conclusion: (1 The impulsivity, eating behavior and activity level are closely related to BMI; (2 the activity level, sitting time and induced diet play an intermediary role between the impulsivity and BMI.

  18. Body mass index affects knee joint mechanics during gait differently with and without moderate knee osteoarthritis.

    Science.gov (United States)

    Harding, Graeme T; Hubley-Kozey, Cheryl L; Dunbar, Michael J; Stanish, William D; Astephen Wilson, Janie L

    2012-11-01

    Obesity is a highly cited risk factor for knee osteoarthritis (OA), but its role in knee OA pathogenesis and progression is not as clear. Excess weight may contribute to an increased mechanical burden and altered dynamic movement and loading patterns at the knee. The objective of this study was to examine the interacting role of moderate knee OA disease presence and obesity on knee joint mechanics during gait. Gait analysis was performed on 104 asymptomatic and 140 individuals with moderate knee OA. Each subject group was divided into three body mass categories based on body mass index (BMI): healthy weight (BMI30). Three-dimensional knee joint angles and net external knee joint moments were calculated and waveform principal component analysis (PCA) was applied to extract major patterns of variability from each. PC scores for major patterns were compared between groups using a two-factor ANOVA. Significant BMI main effects were found in the pattern of the knee adduction moment, the knee flexion moment, and the knee rotation moment during gait. Two interaction effects between moderate OA disease presence and BMI were also found that described different changes in the knee flexion moment and the knee flexion angle with increased BMI with and without knee OA. Our results suggest that increased BMI is associated with different changes in biomechanical patterns of the knee joint during gait depending on the presence of moderate knee OA. Copyright © 2012 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

  19. For better or worse: relationship status and body mass index.

    Science.gov (United States)

    Averett, Susan L; Sikora, Asia; Argys, Laura M

    2008-12-01

    Recent increases in the incidence of obesity and declines in marriage have prompted policymakers to implement policies to mitigate these trends. This paper examines the link between these two outcomes. There are four hypotheses (selection, protection, social obligation and marriage market) that might explain the relationship between marital status transitions and changes in Body Mass Index (BMI). The selection hypothesis suggests that those with a lower BMI are more likely to be selected into marriage. The protection hypothesis states that married adults will have better physical health as a result of the increased social support and reduced incidence of risky behavior among married individuals. The social obligation hypothesis states that those in relationships may eat more regular meals and/or richer and denser foods due to social obligations which may arise because of marriage. Finally, the marriage market hypothesis indicates that when adults are no longer in the marriage market they may not maintain a healthy BMI because doing so is costly and they are in a stable union-or on the other hand, adults may enhance their prospects in the marriage market by losing weight. Taking advantage of longitudinal data and complete marriage histories in the National Longitudinal Survey of Youth 1979, we estimate individual fixed effects models to examine associations between the change in log BMI and the incidence of overweight and obesity, and changes in relationship status controlling for the effects of aging and other respondent characteristics. We find no support for the marriage protection hypothesis. Rather we find evidence supporting the social obligation and marriage market hypotheses-BMI increases for both men and women during marriage and in the course of a cohabiting relationship. Separate analyses by race and ethnicity reveal substantial differences in the response of BMI to relationship status across these groups.

  20. 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.

  1. Fedmerelatererede sundhedsomkostninger vurderet ud fra måling af enten BMI eller taljeomkreds--sekundaerpublikation

    DEFF Research Database (Denmark)

    Højgaard, Betina; Olsen, Kim Rose; Søgaard, Jes

    2009-01-01

    circumference (WC) and body mass index (BMI). The analyses show that the combination of BMI and WC does not improve the identification of high-risk individuals compared with the use of WC alone. The health service costs increase by 1.24% in women and 2.08% in men pr. cm increase in WC above the normal range....

  2. Fedmerelatererede sundhedsomkostninger vurderet ud fra måling af enten BMI eller taljeomkreds--sekundaerpublikation

    DEFF Research Database (Denmark)

    Højgaard, Betina; Olsen, Kim Rose; Søgaard, Jes

    2009-01-01

    circumference (WC) and body mass index (BMI). The analyses show that the combination of BMI and WC does not improve the identification of high-risk individuals compared with the use of WC alone. The health service costs increase by 1.24% in women and 2.08% in men pr. cm increase in WC above the normal range...

  3. 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.

  4. Body mass index and progressive hand osteoarthritis: data from the Oslo hand osteoarthritis cohort.

    Science.gov (United States)

    Magnusson, K; Slatkowsky-Christensen, B; van der Heijde, D; Kvien, T K; Hagen, K B; Haugen, I K

    2015-01-01

    Few longitudinal studies have studied the association between body mass index (BMI) and hand osteoarthritis (OA). We aimed to explore the association between BMI and progressive hand OA in a longitudinal study of the Oslo hand OA cohort. Participants with existing hand OA had hand radiographs and BMI data taken at baseline and 7-year follow-up (n = 103). The radiographs were read according to the Kellgren-Lawrence (KL) scale. First, we examined the association between baseline BMI and incident OA (KL grade ≥ 2) in joints without OA at baseline (adjusted for age and sex) using generalized estimating equation (GEE) analyses. Second, we examined whether changes in BMI from baseline to follow-up were associated with increasing KL sum score from baseline to follow-up using linear regression. We repeated the analyses using changes in number of joints with symptomatic OA and patient-reported pain and physical function as the outcome. The mean (SD) age at baseline was 61.6 (5.6) years and 91 (94%) of the cohort were women. The mean (SD) BMI was 25.7 (4.0) kg/m(2) at baseline and the mean (SD) BMI change was 1.1 (2.0) kg/m(2). There was no relationship between baseline BMI and development of more joints with OA during follow-up. Similarly, there was no association between change in BMI and hand OA progression, increasing hand pain or disability. In the Oslo hand OA cohort, higher BMI was not related to hand OA progression.

  5. Childhood BMI growth trajectories and endometrial cancer risk

    DEFF Research Database (Denmark)

    Aarestrup, Julie; Gamborg, Michael; Tilling, Kate

    2017-01-01

    Previously, we found that excess weight already in childhood has positive associations with endometrial cancer, however, associations with changes in body mass index (BMI) during childhood are not well understood. Therefore, we examined whether growth in childhood BMI is associated with endometrial...... cancer and its sub-types. A cohort of 155,505 girls from the Copenhagen School Health Records Register with measured weights and heights at the ages of 6 to 14 years and born 1930-89 formed the analytical population. BMI was transformed to age-specific z-scores. Using linear spline multilevel models......, each girl's BMI growth trajectory was estimated as the deviance from the average trajectory for three different growth periods (6.25-7.99, 8.0-10.99, 11.0-14.0 years). Via a link to health registers, 1020 endometrial cancer cases were identified, and Cox regressions were performed. A greater gain...

  6. Effect of age, gender and body mass index on visual and auditory reaction times in Indian population.

    Science.gov (United States)

    Nikam, Lalita H; Gadkari, Jayshree V

    2012-01-01

    The effect of Age. Gender and Body Mass Index (BMI) on the Visual (VRT) and Auditory reaction time (ART) was studied in 30 males and 30 females in the age group of 18-20 years along with 30 males and 30 females in the age group of 65-75 years. Statistical analysis of the data by one-way ANOVA and post-hoc by Tukey-HSD test showed that BMI, VRT and ART were significantly higher in old than young individuals. Females had higher BMI and longer reaction times than males. There was significant positive correlation between BMI and reaction times (VRT and ART) in both males and females by Pearson correlation analysis. Older individuals should be more careful and vigilant about the injuries and falls due to increased reaction time. Longer reaction times and higher BMI in females could be attributed to fluid and salt retention due to female sex hormones affecting sensorimotor co-ordination.

  7. Blood pressure levels and body mass index in Brazilian adults with Down syndrome

    Directory of Open Access Journals (Sweden)

    Felipe Pucci

    Full Text Available ABSTRACT CONTEXT AND OBJECTIVE: Increased life expectancy among people with Down syndrome (DS has introduced new environmental factors that may affect blood pressure (BP and/or lead to obesity in this population. The aim here was to investigate BP levels and body mass index (BMI in adults with DS, correlating these data with the patients' sex and age. DESIGN AND SETTING: Analytical cross-sectional observational study conducted in special schools in Curitiba (PR, Brazil. METHODS: 97 adult patients were included. BP was measured in accordance with the established guidelines. BMI was calculated by dividing the weight by the height squared (kg/m2. RESULTS: Sex had no influence on BMI; nor did systolic BP (SBP or diastolic BP (DBP. The age range was from 18 to 56 years. No correlation was observed between increasing age and greater BMI or BP. Eighty-six individuals (88.7% presented normal BP, eleven (11.3% prehypertension and none hypertension. Twenty patients (20.4% presented BP lower than 90 × 60 mmHg. BMI ranged from 18 to 48 kg/m2 (mean of 28.8 ± 3.92 kg/m2: 21.9% had normal weight; 40.7% were overweight; and 25.3% had obesity class I, 9.9% class II and 2.2% class III. Higher BMI was associated with significantly greater SBP and DBP (P = 0.0175 and P = 0.0015. CONCLUSION: Sex and age did not influence SBP, DBP or BMI in Brazilian adults with DS. Higher BMI was associated with greater BP (both systolic and diastolic.

  8. Body mass index and the rheumatoid arthritis swollen joint count: an observational study

    Science.gov (United States)

    Caplan, Liron; Davis, Lisa A.; Bright, Christina M.; Kerr, Gail S.; Lazaro, Deana M.; Khan, Nasim A.; Richards, J. Steuart; Johnson, Dannette S.; Cannon, Grant W.; Reimold, Andreas M.; Mikuls, Ted R.

    2012-01-01

    Objective Obesity is a prevalent condition and a serious health concern. The relationship between obesity and RA disease activity and severity has not been adequately examined, and there are concerns that periarticular adipose tissue may reduce the utility of the joint examination. Methods We used a cross-sectional study to compare the performance of swollen joint count (SJC) in subjects with rheumatoid arthritis (RA) across body mass index (BMI) strata. Specifically, regression techniques tested for associations of SJC and seven RA disease activity/severity measures (including high sensitivity c-reactive protein, radiographic changes, and multi-dimensional health assessment questionnaire scores) within BMI quartiles. We also evaluated the association of BMI with radiographic evidence of RA in multivariate analyses and the association of BMI with SJC. Clinical and laboratory data from 980 Veterans Affairs Rheumatoid Arthritis (VARA) registry participants were analyzed using linear and logistic regression. Results Associations were evident between SJC and six of the seven examined RA disease activity/severity measures. SJC predicts RA disease activity/severity at least as well in more obese subjects as in subjects with lower BMIs, and there was a trend towards better performance in higher BMI individuals. Subjects with higher BMIs were marginally less likely to be characterized by radiographic changes (O.R. 0.98, p=0.051). We found no association between BMI and SJC. Conclusions BMI does not obscure the relationship of SJC and objective disease activity measures. There is a borderline association of higher BMI and likelihood of radiographic changes characteristic of RA after controlling for clinical characteristics. PMID:22623288

  9. Development of relative body mass (BMI of students from Łódź, depending on the selected environmental, psychological and sociological factors

    Directory of Open Access Journals (Sweden)

    Pruszkowska-Przybylska Paulina

    2016-12-01

    Full Text Available The human height-to-weight ratio is an important parameter of the body homeostasis. Currently, the most popular measurement determining the relationship between body mass and height is the Quetelet II indicator, called Body Mass Index (BMI. The aim of this study is an evaluation of the differences in the height-to-weight ratios, depending on selected environmental, psychological and sociological factors in people studying at higher education institutions in Łódź. The research was conducted among students of higher education institutions in Łódź, by electronic means or with the use of an anonymous survey. It consisted of 28 closed single or multiple choice questions. Statistical analysis was made of complete results of the research involving 135 people, both males and females, aged between 19-26. It was revealed that the factors related to higher BMI values in students are the following: the presence of a tendency in the students to gain weight themselves, and a tendency to gain weight present in their mothers, an evaluation of their own body mass as excessive, regularly smoking cigarettes and rarely undergoing medical check-ups. Among the factors connected with lower BMI values are: regular coffee consumption, perception of their own body mass as being too low, and also obtaining systolic pressure values below 110 mm Hg. Additionally, a positive correlation between taking up physical activity and higher values of systolic blood pressure (p<0.05 was shown. Among the subjects, it was found that 92% of the underweight women declared that their body mass and figure were normal. In the case of women with optimal BMI values, 40% stated that their body mass was excessive. In the case of men the problem was reverse: 50% of the subjects who were either overweight or obese claimed that their body mass was within the norm. The factors that significantly influence body proportion differences among students include the subject’s and the subject

  10. The effects of increasing body mass index on heartburn severity, frequency and response to treatment with dexlansoprazole or lansoprazole.

    Science.gov (United States)

    Peura, D A; Pilmer, B; Hunt, B; Mody, R; Perez, M C

    2013-04-01

    Higher body mass index (BMI) is a recognised risk factor for gastro-oesophageal reflux disease (GERD). Data regarding the impact of BMI on proton pump inhibitor (PPI) therapy are conflicting. To assess the impact of BMI on baseline heartburn symptom severity and frequency and response to PPI therapy in patients with non-erosive GERD (NERD) or erosive oesophagitis (EO). In post hoc analyses of phase 3 trial data, 621 NERD and 2692 EO patients were stratified by BMI (heartburn severity increased with increasing BMI. The impact of PPI therapy on the reduction in heartburn symptom frequency and severity in both NERD and EO patients was similar across BMI categories. EO healing rates in patients treated with dexlansoprazole but not lansoprazole were higher in obese patients compared with those with a BMI heartburn regardless of baseline BMI. In addition, because patients with higher BMI have more severe symptoms at baseline, they may experience greater therapeutic gain with dexlansoprazole (NERD and erosive oesophagitis) and possibly lansoprazole (erosive oesophagitis) treatment. © 2013 Blackwell Publishing Ltd.

  11. Body Mass Index and Decline of Cognitive Function.

    Directory of Open Access Journals (Sweden)

    Sujin Kim

    Full Text Available The association between body mass index (BMI and cognitive function is a public health issue. This study investigated the relationship between obesity and cognitive impairment which was assessed by the Korean version of the Mini-mental state examination (K-MMSE among mid- and old-aged people in South Korea.A cohort of 5,125 adults, age 45 or older with normal cognitive function (K-MMSE≥24 at baseline (2006, was derived from the Korean Longitudinal Study of Aging (KLoSA 2006~2012. The association between baseline BMI and risk of cognitive impairment was assessed using multiple logistic regression models. We also assessed baseline BMI and change of cognitive function over the 6-year follow-up using multiple linear regressions.During the follow-up, 358 cases of severe cognitive impairment were identified. Those with baseline BMI≥25 kg/m2 than normal-weight (18.5≤BMI<23 kg/m2 were marginally less likely to experience the development of severe cognitive impairment (adjusted odds ratio [aOR] = 0.73, 95% CI = 0.52 to 1.03; Ptrend = 0.03. This relationship was stronger among female (aOR = 0.63, 95% CI = 0.40 to 1.00; Ptrend = 0.01 and participants with low-normal K-MMSE score (MMSE: 24-26 at baseline (aOR = 0.59, 95% CI = 0.35 to 0.98; Ptrend<0.01. In addition, a slower decline of cognitive function was observed in obese individuals than those with normal weight, especially among women and those with low-normal K-MMSE score at baseline.In this nationally representative study, we found that obesity was associated with lower risk of cognitive decline among mid- and old-age population.

  12. Adverse Events With Sustained-Release Donepezil in Alzheimer Disease: Relation to Body Mass Index.

    Science.gov (United States)

    Lee, Chunsoo; Lee, Kyungsang; Yu, Hyewon; Ryu, Seung-Ho; Moon, Seok Woo; Han, Changsu; Lee, Jun-Young; Lee, Young Min; Kim, Shin-Gyeom; Kim, Ki Woong; Lee, Dong Woo; Kim, Seong Yoon; Lee, Sang-Yeol; Bae, Jae Nam; Jung, Young-Eun; Kim, Jeong Lan; Kim, Byung-Soo; Shin, Il-Seon; Kim, Young Hoon; Kim, Bong Jo; Kang, Hyo Shin; Myung, Woojae; Carroll, Bernard J; Kim, Doh Kwan

    2017-08-01

    Sustained-release, high-dose (23 mg/d) donepezil has been approved for treatment of moderate to severe Alzheimer disease (AD). Based on a previous clinical trial, body weight of less than 55 kg is a risk factor for adverse events with donepezil 23 mg/d treatment in global population. To clarify whether this finding is consistent across ethnic groups that vary in absolute body mass, we recruited Korean patients aged 45 to 90 years with moderate to severe AD who had been receiving standard donepezil immediate release 10 mg/d for at least 3 months. After screening, we analyzed a final cohort of 166 patients who received donepezil 23 mg/d for 24 weeks to compare the occurrence of treatment-emergent adverse events (TEAEs) between patients with high versus low body mass index (BMI) based on the World Health Organization overweight criteria for Asian populations (23 kg/m). Treatment-emergent adverse events were reported by 79.45% of patients in the lower BMI group and 58.06% of patients in the higher BMI group (odds ratio, 2.79; 95% confidence interval, 1.39-5.63; χ = 7.58, P = 0.006). In a multivariable survival analysis, the group with lower BMI showed a higher occurrence of TEAEs (hazard ratio, 1.83; 95% confidence interval, 1.25-2.68; P = 0.002). In Korean patients with moderate to severe AD receiving high-dose donepezil over 24 weeks, TEAEs were significantly more common in those with lower BMI (not clinically overweight), especially nausea. This finding may inform clinical practice for Asian patients.

  13. [Correlation analysis of the pre-pregnant body mass index, the gestational weight gain and umbilical cord blood C peptide].

    Science.gov (United States)

    Chen, X L; Han, Y; Zhao, X M; Liu, Y; Lü, J J

    2017-01-03

    Objective: To explore the correlation among the pre-pregnant body mass index (BMI), gestational weight gain (GWG) and umbilical cord blood C peptide, and to investigate the influence of maternal weight management on the incidence of baby long-term metabolic syndrome. Methods: During May to Aug.2015, 485 pregnant women in Zhejiang Taizhou first people's hospital and Taizhou Huangyan maternal &child care service centre were selected in random and divided into four groups according to pre-pregnant BMI: low body mass, normal body mass, over body mass and obese group, and also divided into two groups for getting gestational diabetes mellitus (GDM) or not. According to the gestational weight gain (GWG), all the cases were divided into two groups: above the Institute Of Medicine (IMO) 2009 recommendations or not. According to the outcome, the GDM group which had received weight control treatment, was divided into successful treat group or not. At last, we tested the umbilical cord blood C peptide and birth weight of each newborn and compared the difference in all subgroups. The correlation between the umbilical cord blood C peptide and birth weight were analysed. Results: (1) In the pre-pregnant BMI groups, there were significant differences of incidence of GDM ( P 0.05). (2) Newborn birth weight and the umbilical cord blood C peptide were positively correlated ( r =0.673, P newborn birth weight in all subgroups. (4) All groups showed correlations with neonatal umbilical cord blood C peptide, the GDM mostly (β=0.58), pre-pregnant BMI secondly (β: 0.36, 0.38) , and GWG weakly (β=0.17). (5) By stratification analysis, in GDM group, low body mass was negatively correlated with umbilical cord blood C peptide ( P gestational weight gain and umbilical cord blood C peptide. Suitable maternal weight control especially pre-pregnant body mass index control will lower the baby long-term metabolic syndrome incidence.

  14. Asians are different from Caucasians and from each other in their body mass index/body fat per cent relationship

    NARCIS (Netherlands)

    Deurenberg, P.; Deurenberg-Yap, M.; Guricci, S.

    2002-01-01

    The objective was to study the relationship between body mass index (BMI) and body fat per cent (BF%) in different population groups of Asians. The study design was a literature overview with special attention to recent Asian data. Specific information is provided on Indonesians (Malays and Chinese

  15. 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

    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

  16. Effect of Body Mass Index on Postoperative Transfusions and 24-Hour Chest-Tube Output

    Science.gov (United States)

    Nolan, Heather R.; Ramaiah, Chandrashekhar

    2011-01-01

    An increasing obese population in the United States focuses attention on the effect of obesity on surgical outcomes. Our objective was to see if obesity, determined by body mass index (BMI), contributed to bleeding in coronary artery bypass graft (CABG) surgery as measured by intraoperative and postoperative packed red blood cell transfusion frequency and amount and 24-hour chest-tube output. A retrospective chart review examined 150 subjects undergoing single-surgeon off-pump or on-pump CABG surgery between September 2006 and April 2009. BMI groups included normal-weight (BMI trend based on BMI group (p = 0.054). The percentage of subjects receiving transfusions in the combined intraoperative or 72-hour postoperative period showed a decreasing linear trend based on BMI group (p = 0.054). The transfusion amount during the 72-hour postoperative period varied significantly between BMI groups (p = 0.021), and the test for a linear decrease across groups was significant (p = 0.020). Twenty-four hour chest-tube output showed variation across all three BMI categories (p = 0.018) with chest-tube output decreasing with increasing obesity in a linear fashion (p = 0.006). Transfusion rate and amount indicate total blood loss is decreased in the obese, and chest-tube output findings give a direct measurable indicator of blood loss from the surgical site indicating increasing BMI is linearly correlated with decreasing postoperative bleeding. PMID:22654469

  17. [Genetic and environmental contributions to body mass index in a Spanish adolescent twin sample].

    Science.gov (United States)

    Iranzo-Tatay, Carmen; Gimeno-Clemente, Natalia; Livianos-Aldana, Lorenzo; Rojo-Moreno, Luis

    2015-08-21

    Twin and family studies support large genetic influences on variability in body mass index (BMI), with heritability estimates ranging from 47% to over 90%. Our objective was to study the relative contributions of genetics and environment to BMI, evaluating sex differences, in an adolescent twin sample from Valencia, Spain. Five hundred eighty-four pairs of adolescent twins between 13 and 18 years of age completed the study (82 monozygotic [MZ] and 87 dizygotic [DZ] pairs of male twins, 118 MZ and 102 DZ pairs of female twins, and 195 opposite-sex pairs of DZ twins). To determine zygosity, teachers responded a questionnaire on physical similarity. They also measured the participant's height and weight. BMI was calculated and weight status was determined according to age. We used twin models to assess genetic and environmental (common and unique) factors affecting BMI. There was a 7.1% frequency of overweight and 2.8% of obesity. The estimated heritability of BMI was 88.0% in boys and 72.1% in girls, with the remaining variance attributable to non-shared environment in boys (12.0%) and 8.8% in girls. It was only in girls that common environment had an effect on BMI. Genetics appears to play an important role in explaining the variability in BMI in the adolescence, with slight variations between boys and girls. Common environmental factors exert their influence on BMI only in girls. Copyright © 2014 Elsevier España, S.L.U. All rights reserved.

  18. Transit Rider Body Mass Index Before and After Completion of Street Light-Rail Line in Utah.

    Science.gov (United States)

    Brown, Barbara B; Smith, Ken R; Jensen, Wyatt A; Tharp, Doug

    2017-09-01

    To determine whether 2012 to 2015 (times 1-3) ridership changes correlated with body mass index (BMI) changes after transit line completion in Salt Lake City, Utah. We used Global Positioning System/accelerometry-measured transit ridership measures in 2012 to 2013 (times 1-2) to compare objective and self-reported ridership. Regression models related changes in objectively measured ridership (times 1-2) and self-reported ridership (times 1-2 and times 1-3) to BMI changes, adjusting for control variables. Objective and self-reported ridership measures were consistent. From time 1 to 2 (P = .021) or to 3 (P = .015), BMI increased among self-reported former riders and decreased among new riders (P = .09 for both times 1-2 and times 1-3), although the latter was nonsignificant. Time 3 attrition adjustment had no effect on results. Adjusting for baseline BMI, the nonsignificant effect for new riders remained nonsignificant, indicating no BMI change; the BMI increase after discontinuing transit remained significant. Observed BMI increases subsequent to stopping transit ridership persisted for more than 2 years (postintervention). These results suggest that transit ridership protects against BMI gains and support the need to provide convenient transit for public health.

  19. Lack of Associations between Body Mass Index and Clinical Outcomes in Patients with Papillary Thyroid Carcinoma

    Directory of Open Access Journals (Sweden)

    Hyemi Kwon

    2015-09-01

    Full Text Available BackgroundObesity is associated with aggressive pathological features and poor clinical outcomes in breast and prostate cancers. In papillary thyroid carcinoma (PTC, these relationships remain still controversial. This study aimed to evaluate the associations between body mass index (BMI and the clinical outcomes of patients with PTC.MethodsThis retrospective study included 1,189 patients who underwent total thyroidectomy for PTCs equal to or larger than 1 cm in size. Clinical outcomes were evaluated and compared based on the BMI quartiles.ResultsThere were no significant associations between BMI quartiles and primary tumor size, extrathyroidal invasion, cervical lymph node metastasis, or distant metastasis. However, an increase in mean age was associated with an increased BMI (P for trend <0.001. Multifocality and advanced tumor-node-metastasis (TNM stage (stage III or IV were significantly associated with increases of BMI (P for trend 0.02 and <0.001, respectively. However, these associations of multifocality and advanced TNM stage with BMI were not significant in multivariate analyses adjusted for age and gender. Moreover, there were no differences in recurrence-free survivals according to BMI quartiles (P=0.26.ConclusionIn the present study, BMI was not associated with the aggressive clinicopathological features or recurrence-free survivals in patients with PTC.

  20. Combine body mass index and body fat percentage measures to improve the accuracy of obesity screening in young adults.

    Science.gov (United States)

    Hung, Shang-Ping; Chen, Ching-Yu; Guo, Fei-Ran; Chang, Ching-I; Jan, Chyi-Feng

    Obesity screening among young adult groups is meaningful. Body mass index (BMI) is limited to discriminate between fat and lean mass. Asian young adult group tends to have lower BMI and higher body fat percentage (BFP) than other ethnic groups. Accuracy of obesity screening by commonly used BMI criteria is unclear in young Taiwanese population. A total of 894 young adults (447 males and 447 females) aged 20-26 were recruited. BMI, regional fat percentage and BFP determined by bioelectrical impedance analysis (BIA) were measured. BMI cutoff points were based on the criteria adopted by the Ministry of Health and Welfare in Taiwan. Cutoff points of low or high BFP were defined as 24% in men and 31.4% in women. Prevalence of BFP defining obesity was 14.8% in young men and 27.3% in young women. 23.2% of young men and only 8.3% of young women were classified to overweight or obesity categories according to