PDB36 ESTIMATING NATIONAL-LEVEL COST SAVINGS ASSOCIATED WITH REDUCTIONS IN BODY MASS INDEX IN THE US OBESE POPULATION

Abstract Background The International Diabetes Federation (IDF) estimated that 1.1 million children and adolescents aged 14–19 years are living with diabetes. Diabetes is a chronic, progressive disease characterized by elevated levels of blood glucose. It is also recognized as a complex disease that affects people of different ages due to different causes. The present study aims to estimate the prevalence of pre-diabetes/diabetes at the national level. Additionally, the respective study determines the factors associated with pre-diabetes/diabetes conditions among adolescents at the national level. Methods The data for this study was carried out from the Comprehensive National Nutrition Survey (CNNS), the first-ever nationally representative nutrition survey of children and adolescents in India. The study used a sample size of 17,865 adolescent boys and 17,965 adolescent girls for the analysis. Descriptive statistics, bivariate analysis, and logistic regression analysis were done to carve out the results. Results The prevalence of pre-diabetes/diabetes was 12.3% and 8.4% among adolescent boys and girls in India, respectively. Body mass index and Subscapular skinfold thickness were the two most important predictors of pre-diabetes/diabetes among adolescents. Further, physical activities show a negative association with pre-diabetes/diabetes. Moreover, interaction models in the present study clearly reveal the fact that adolescent girls were less likely to suffer from pre-diabetes/diabetes than adolescent boys. Additionally, it was found that the prevalence of pre-diabetes/diabetes was high among adolescent girls from lower socio-economic strata. Conclusion The high prevalence of pre-diabetes and diabetes among adolescents portrayed serious public health concern in India. As body mass index and Subscapular skinfold thickness were positively associated with pre-diabetes/diabetes conditions among adolescents. Therefore, effective approaches are needed to be taken to tackle these pre-diabetes/diabetes conditions among adolescents and especially among adolescent boys.

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A multilevel analysis of race, community disadvantage, and body mass index among adults in the US

Social Science & Medicine ◽

10.1016/j.socscimed.2004.03.034 ◽

2004 ◽

Vol 59 (12) ◽

pp. 2421-2434 ◽

Cited By ~ 238

Author(s):

Stephanie A. Robert ◽

Eric N. Reither

Keyword(s):

Body Mass Index ◽

Multilevel Analysis ◽

Body Mass ◽

The Us ◽

Community Disadvantage

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Influence of body mass index on prescribing costs and potential cost savings of a weight management programme in primary care

Journal of Health Services Research & Policy ◽

10.1258/jhsrp.2008.007140 ◽

2008 ◽

Vol 13 (3) ◽

pp. 158-166 ◽

Cited By ~ 29

Keyword(s):

Primary Care ◽

Body Mass Index ◽

Weight Management ◽

Body Mass ◽

Cost Savings ◽

Management Programme ◽

Potential Cost ◽

Weight Management Programme

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Body Mass Index and Depressive Symptoms: Testing for Adverse and Protective Associations in Two Twin Cohort Studies

Twin Research and Human Genetics ◽

10.1017/thg.2016.14 ◽

2016 ◽

Vol 19 (4) ◽

pp. 306-311 ◽

Cited By ~ 7

Author(s):

Markus Jokela ◽

Venla Berg ◽

Karri Silventoinen ◽

G. David Batty ◽

Archana Singh-Manoux ◽

...

Keyword(s):

Body Mass Index ◽

Depressive Symptoms ◽

Cohort Studies ◽

Body Mass ◽

Genetic Model ◽

The United States ◽

Population Based ◽

The Us ◽

Mz Twins ◽

Pair Analysis

Studies have suggested both adverse and protective associations of obesity with depressive symptoms. We examined the contribution of environmental and heritable factors in this association. Participants were same-sex twin pairs from two population-based twin cohort studies, the Older Finnish Twin Cohort (n = 8,215; mean age = 44.1) and the US Midlife Development in the United States (MIDUS; n = 1,105; mean age = 45.1). Body mass index (BMI) was calculated from self-reported height and weight. Depressive symptoms were assessed using Beck's Depression Inventory (BDI; Finnish Twin Cohort), and by negative and positive affect scales (MIDUS). In the Finnish Twin Cohort, higher BMI was associated with higher depressive symptoms in monozygotic (MZ) twins (B = 2.01, 95% CI = 1.0, 3.0) and dizygotic (DZ) twins (B = 1.17, 0.5, 1.9) with BMI >22. This association was observed in within-pair analysis in DZ twins (B = 1.47, CI = 0.4, 2.6) but not in within-pair analysis of MZ twins (B = 0.03, CI = -1.9, 2.0). Consistent with the latter result, a bivariate genetic model indicated that the association between higher BMI and higher depressive symptoms was largely mediated by genetic factors. The results of twin-pair analysis and bivariate genetic model were replicated in the MIDUS sample. These findings suggest an association between obesity and higher depressive symptoms, which is largely explained by shared heritable biological mechanisms.

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HIGH BODY-MASS INDEX IS NOT ASSOCIATED WITH WORSE CLINICOPATHOLOGICAL CHARACTERISTICS IN PREDOMINANTLY OBESE BREAST CANCER PATIENTS

Experimental Oncology ◽

10.31768/2312-8852.2015.37(4):281-284 ◽

2015 ◽

Vol 37 (4) ◽

pp. 281-284 ◽

Cited By ~ 1

Author(s):

Y Kemal ◽

G Demirag ◽

F Teker ◽

E Kut ◽

M Kefeli ◽

...

Keyword(s):

Breast Cancer ◽

Body Mass Index ◽

Body Mass ◽

Menopausal Status ◽

High Body Mass Index ◽

Clinicopathological Characteristics ◽

Breast Cancer Patients ◽

High Body ◽

Obese Population ◽

The Impact

Background: Breast cancer (BC) is the most common cancer among women. A high body-mass index (BMI) is related to increased incidence of BC with poorer prognosis. Aim: The aim of the study was to evaluate the association in patients with BC between BMI at the time of diagnosis and biological characteristics, according to the menopausal status. Materials and Methods: This retrospective study comprised a total of 318 women with BC. Clinicopathological differences between normal, overweight and obese patients according to menopausal status were evaluated. Results: Premenopausal women had a significantly lower BMI than postmenopausal patients (28.7 vs. 31.5, respectively; p = 0.00001). No statistically significant association was determined between BMI and clinicopathological characteristics in either the premenopausal or the postmenopausal group (all p values are > 0.05). Conclusions: There are many conflicting results in literature on this relationship. The results of this study showed that a high BMI is not associated with worse clinicopathological characteristics in a predominantly obese population. In current medical oncology practice, BC should be evaluated on an individual patient basis and the impact of obesity on BC prognosis seems to be difficult to estimate especially in an obese population.

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Food Shopping Venues, Neighborhood Food Environment, and Body Mass Index Among Guyanese, Black, and White Adults in an Urban Community in the US

Journal of Nutrition Education and Behavior ◽

10.1016/j.jneb.2016.03.003 ◽

2016 ◽

Vol 48 (6) ◽

pp. 361-368.e1 ◽

Cited By ~ 10

Author(s):

Akiko S. Hosler ◽

Isaac. H. Michaels ◽

Erin M. Buckenmeyer

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Food Environment ◽

Urban Community ◽

Black And White ◽

Food Shopping ◽

Neighborhood Food Environment ◽

The Us ◽

White Adults

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A high body mass index is not a worse prognostic factor for endometrial carcinoma in a predominantly obese population

Clinical & Translational Oncology ◽

10.1007/s12094-012-0906-z ◽

2012 ◽

Vol 15 (3) ◽

pp. 243-247 ◽

Cited By ~ 9

Author(s):

Leonardo Saúl Lino-Silva ◽

David Cantú de León ◽

Rosa Angélica Salcedo-Hernández ◽

Claudia Cavazos-Saman ◽

María Delia Pérez-Montiel

Keyword(s):

Body Mass Index ◽

Prognostic Factor ◽

Endometrial Carcinoma ◽

Body Mass ◽

High Body Mass Index ◽

High Body ◽

Obese Population

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Mortality and Optimal Body Mass Index in a Sample of the US Population

American Journal of Epidemiology ◽

10.1093/oxfordjournals.aje.a009518 ◽

1998 ◽

Vol 147 (8) ◽

pp. 739-749 ◽

Cited By ~ 86

Author(s):

R. n A. Durazo-Arvizu ◽

D. L. McGee ◽

R. S. Cooper ◽

Y. Liao ◽

A. Luke

Keyword(s):

Body Mass Index ◽

Body Mass ◽

The Us

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Sagittal Abdominal Diameter and its Socioeconomic Correlates: Perspective of Sex Differences

10.21203/rs.3.rs-15583/v5 ◽

2020 ◽

Author(s):

Chang Li ◽

Marcelline Harris ◽

Dennis Tsilimingras ◽

Sophia Liu ◽

Ying Sheng ◽

...

Keyword(s):

Body Mass Index ◽

Sex Differences ◽

Black Women ◽

Body Mass ◽

Household Income ◽

White Women ◽

White Men ◽

Sagittal Abdominal Diameter ◽

Birth Place ◽

The Us

Abstract Background Sagittal abdominal diameter (SAD) is an anthropometric index associated with visceral adiposity. It remains unclear whether SAD and its socio-economic correlates differ in women and men, which limits the epidemiological and clinical applications of the SAD measurement. The aims of this study are to examine the sex differences in SAD and its socio-economic correlates.Methods A complex stratified multistage clustered sampling design was used to select 6,975 men and 7,079 women aged 18 years or more from the National Health Nutrition and Examination Survey 2011-2016, representative of the US civilian non-institutionalized population. SAD was measured in accordance to the standard protocols using a two-arm abdominal caliper. The sex differences in SAD and its socio-economic correlates were evaluated by performing weighted independent t tests and weighted multiple regression. Results SAD was lower in women than in men in the entire sample, as well as in all the subgroups characterized by age, race, birth place, household income, and body mass index except for non-Hispanic blacks and those with household income < $20,000. Adjusted for other characteristics, age, birth place, household income, and body mass index were associated with SAD in both women and men. Black women were associated with higher SAD then white women (p<.0001), and Hispanic and Asian men were associated with lower SAD than white men (both p<.01). Women born in other countries were more likely to have lower SAD than women born in the US (p<.0001), and so were men (p=.0118). Both women and men with a household income of <$75,000 had higher SAD than those with an income of over $75,000. The associations of age, race, and household income with SAD differed in women and men.Conclusion SAD is lower in women than in men, in the general population as well as in the most socio-economic subgroups. While socio-economic correlates of SAD are similar in women and men, the associations of age, race, and household income with SAD vary across sex.

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