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

2004 ◽  
Vol 59 (12) ◽  
pp. 2421-2434 ◽  
Author(s):  
Stephanie A. Robert ◽  
Eric N. Reither
Keyword(s):  
Body Mass Index ◽  
Multilevel Analysis ◽  
Body Mass ◽  
The Us ◽  
Community Disadvantage

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

2016 ◽  
Vol 19 (4) ◽  
pp. 306-311 ◽  
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.

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

1998 ◽  
Vol 147 (8) ◽  
pp. 739-749 ◽  
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

GETTING READY FOR THE MARRIAGE MARKET? A COMMENT

2011 ◽  
Vol 44 (2) ◽  
pp. 229-234 ◽  
Author(s):  
BJÖRN SCHNEIDER ◽  
FLORIAN GRIMPS
Keyword(s):  
Body Mass Index ◽  
Multilevel Analysis ◽  
Body Mass ◽  
Marriage Market ◽  
Original Data ◽  
European Countries ◽  
Significant Relation ◽  
Primary Finding ◽  
Married Individuals ◽  
Divorce Risk

SummaryThis text comments on the article by Lundborg et al. ‘Getting ready for the marriage market? The association between divorce risks and investments in attractive body mass among married Europeans’ published in July 2007 in this journal. This commentary presents differing results from the original data using multilevel analysis for calculation. The results presented here suggest there is no significant relation between divorce risk and body mass index (BMI) among married individuals in European countries. Therefore, the primary finding of Lundborg et al. (2007) is questioned.

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

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.

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

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 ◽  
Anthropometric Index ◽  
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 subgroups characterized by age, race, body mass index, birth place, and household income except for non-Hispanic blacks and those with household income < $20,000. Adjusted for other characteristics, SAD increased with age and body mass index for both women and men (p<.0001). Compared to white women, Asian women were associated with lower SAD (p=.018), and black women with higher SAD (p<.0001). Compared to white men, Hispanic and Asian men were associated with lower SAD (both p<.0001). 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.Conclusion SAD is lower in women than in men, in the general population as well as in the most socio-economic subgroups. Socio-economic correlates of SAD were similar in women and men.

Trends in the prevalence of cardiometabolic disease and cardiovascular events by body mass index category in adults from 1999 to 2016

2020 ◽  
Vol 96 (1141) ◽  
pp. 655-659 ◽  
Author(s):  
Priya Chelliah ◽  
Xilong Li ◽  
Beverley Adams-Huet ◽  
Ildiko Lingvay
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cardiovascular Events ◽  
Cardiometabolic Risk ◽  
Body Mass Index Category ◽  
Cardiometabolic Disease ◽  
Risk Category ◽  
Obesity Class ◽  
The Us ◽  
Over Time

ObjectivesAn increasing percentage of the US population is obese. Cardiometabolic risk in the population increases with body mass index (BMI), but whether this correlation changes over time is unknown. We analysed the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2016 to determine if the prevalence of cardiometabolic disease and cardiovascular events within each BMI category is changing over time as the BMI of the population is increasing.Study designFor each of the nine survey cycles covering this period, we divided the population by BMI category (normal, overweight, class 1 obesity, class ≥2 obesity) and subsequently by the presence of cardiovascular events or cardiometabolic disease. NHANES participants are a group of 5000 individuals/cycle selected to be representative of the US population. We used the weighted data sets to perform trend analyses for each risk/BMI group adjusted for relevant confounders.ResultsThe distribution of the highest risk category (cardiovascular event) has not changed over time within any BMI category. The distribution of the lowest risk category (cardiometabolically healthy) increased significantly over time in all BMI categories. This was noted in the 18- to 45-year subgroup but not in the group aged >45 years.ConclusionsThe increase in the prevalence of overweight and obese individuals might be associated with a ‘healthy obesity’ phenotype in those <45 years; however, individuals >45 years showed a proportional increase in associated cardiometabolic risk.

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