Dataset Information

Racial/ethnic differences in accuracy of body mass index reporting in a diverse cohort of young adults.

ABSTRACT: Surveillance data describing the weight status of the U.S. population often rely on self-reported height and weight, despite likely differences in reporting accuracy by demographics. Our objective was to determine if there were racial/ethnic differences in accuracy of self-reported body mass index (BMI) in a diverse nationally representative sample of young people. Using data from Wave III (data collected in 2001-2002) of the National Longitudinal Study of Adolescent Health when respondents were aged 18-26, we used gender-stratified multivariable linear regression models to examine the association of race/ethnicity and self-reported BMI controlling for measured BMI while also adjusting for factors known to be associated with weight self-perception. Black males and females (b(Female)=0.45, confidence interval (CI): 0.19, 0.71; b(Male)=0.34, CI: 0.17, 0.51) and Hispanic females (b(Female)=0.30, CI: 0.08, 0.52) and Native American males (b(Native) American=0.87, CI: 0.15, 1.58) reported higher BMIs than their similarly weighted White peers, leading to more accurate BMI reporting in these groups at higher BMIs. Caution should be taken in interpreting results from studies relying on self-reported BMI, as they may exaggerate racial/ethnic differences in weight status.

SUBMITTER: Richmond TK

PROVIDER: S-EPMC4305493 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Racial/ethnic differences in accuracy of body mass index reporting in a diverse cohort of young adults.

Richmond T K TK Thurston I I Sonneville K K Milliren C E CE Walls C E CE Austin S B SB

International journal of obesity (2005) 20140725 3

Surveillance data describing the weight status of the U.S. population often rely on self-reported height and weight, despite likely differences in reporting accuracy by demographics. Our objective was to determine if there were racial/ethnic differences in accuracy of self-reported body mass index (BMI) in a diverse nationally representative sample of young people. Using data from Wave III (data collected in 2001-2002) of the National Longitudinal Study of Adolescent Health when respondents were ...[more]

PMID: 25059116

Similar Datasets

Project description:BackgroundEvidence exists for racial/ethnic differences in left ventricular mass index (LVMI). How this translates to future cardiovascular disease (CVD) events is unknown.HypothesisThe impact of racial/ethnic differences in LVMI on incident cardiovascular outcomes could have potential implications for the optimization of risk stratification strategies.MethodsUsing the prospectively collected database of the Multi-Ethnic Study of Atherosclerosis (MESA) involving 4 racial/ethnic groups (non-Hispanic Whites, Chinese, Blacks, and Hispanics) free of CVD at baseline, we assessed for racial/ethnic differences in the relationship between LVMI and incident CVD using a Cox model.Results5004 participants (mean age, 62 ± 10 years; 48% male) were included in this study. After an average follow-up of 10.2 years, 369 (7.4%) CVD events occurred. Significant racial/ethnic differences existed in the relationship between LVMI and incident CVD (P for interaction = 0.04). Notably, the relationship was strongest for Chinese (HR per 10-unit increase in LVMI: 1.7, 95% CI: 1.1-2.8) and Hispanics (HR per 10-unit increase in LVMI: 1.9, 95% CI: 1.5-2.2). Non-Hispanic Whites demonstrated the lowest relationship (HR: 1.3, 95% CI: 1.1-1.5). LVMI values of 36.9 g/m2.7 , 31.8 g/m2.7 , 39.9 g/m2.7 , and 41.7 g/m2.7 were identified as optimal cutpoints for defining left ventricular hypertrophy (LVH) for non-Hispanic Whites, Chinese, Blacks, and Hispanics, respectively. In secondary analysis of LVH (vs no LVH) using these optimal cutpoints, we found a similar pattern of association as above (P for interaction = 0.04). For example, compared with those without LVH, Chinese with LVH had HR: 5.3, 95% CI: 1.6-17, whereas non-Hispanic Whites with LVH had HR: 1.6, 95% CI: 1.2-2.1 for CVD events.ConclusionsAmong 4 races/ethnicities studied, LVMI has more prognostic utility predicting future CVD events for Chinese and Hispanics and is least significant for non-Hispanic Whites.

Project description:Many studies have demonstrated the existence of simple, unidimensional socioeconomic gradients in body mass index (BMI). However, in the present paper we move beyond such traditional analyses by simultaneously considering multiple demographic and socioeconomic dimensions. Using the Spanish National Health Survey 2011-2012, we apply intersectionality theory and multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to analyze 14,190 adults nested within 108 intersectional strata defined by combining categories of gender, age, income, educational achievement and living situation. We develop two multilevel models to obtain information on stratum-specific BMI averages and the degree of clustering of BMI within strata expressed by the intra-class correlation coefficient (ICC). The first model is a simple variance components analysis that provides a detailed mapping of the BMI disparities in the population and measures the accuracy of stratum membership to predict individual BMI. The second model includes the variables used to define the intersectional strata as a way to identify stratum-specific interactions. The first model suggests moderate but meaningful clustering of individual BMI within the intersectional strata (ICC = 12.4%). Compared with the population average (BMI = 26.07 Kg/m2), the stratum of cohabiting 18-35-year-old females with medium income and high education presents the lowest BMI (-3.7 Kg/m2), while cohabiting 36-64-year-old females with low income and low education show the highest BMI (+2.6 Kg/m2). In the second model, the ICC falls to 1.9%, suggesting the existence of only very small stratum specific interaction effects. We confirm the existence of a socioeconomic gradient in BMI. Compared with traditional analyses, the intersectional MAIHDA approach provides a better mapping of socioeconomic and demographic inequalities in BMI. Because of the moderate clustering, public health policies aiming to reduce BMI in Spain should not solely focus on the intersectional strata with the highest BMI, but should also consider whole population polices.

Dataset Information

Racial/ethnic differences in accuracy of body mass index reporting in a diverse cohort of young adults.

Publications

Racial/ethnic differences in accuracy of body mass index reporting in a diverse cohort of young adults.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure