Errors in body mass index from self-reported data by sex and across waves of Add Health.

Abstract:

PURPOSE:Body mass index (BMI) derived from self-reported height and weight is often used to study adiposity and its health implications. However, misestimates of BMI from self-reported data have been observed. This study adds to the literature by demonstrating how anthropometric misreporting patterns differed by sex and changed across time in a nationally representative cohort, as well as examining behavioral/psychological correlates of biases in BMI. METHODS:Misreporting of height and weight (and thus BMI) from adolescence to adulthood in the United States was studied using the National Longitudinal Study of Adolescent to Adult Health (1996-2008). Behavioral/psychological characteristics possibly associated with errors in BMI were analyzed with fixed-effects models. RESULTS:Different patterns of anthropometric misreporting resulted in larger underestimation of BMI among females than males at the beginning waves, but females saw a reduction by the last wave. Males did not see such a decrease, and their error, at 0.75 BMI units by 2008, was comparable to that of females. For both sexes, body image perception was a significant predictor of biases in BMI. CONCLUSIONS:From adolescence to adulthood, anthropometric reporting patterns changed, and its variation differed by sex. Nevertheless, errors in BMI were similarly associated with behavioral/psychological characteristics.

journal_name

Ann Epidemiol

journal_title

Annals of epidemiology

authors

Ng CD

doi

10.1016/j.annepidem.2019.09.007

subject

Has Abstract

pub_date

2019-11-01 00:00:00

pages

21-25

eissn

1047-2797

issn

1873-2585

pii

S1047-2797(19)30321-7

journal_volume

39

pub_type

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