Does the use of prediction equations to correct self-reported height and weight improve obesity prevalence estimates? A pooled cross-sectional analysis of Health Survey for England data.

ABSTRACT:

Objective

Adults typically overestimate height and underestimate weight compared with directly measured values, and such misreporting varies by sociodemographic and health-related factors. Using self-reported and interviewer-measured height and weight, collected from the same participants, we aimed to develop a set of prediction equations to correct bias in self-reported height and weight and assess whether this adjustment improved the accuracy of obesity prevalence estimates relative to those based only on self-report.

Design

Population-based cross-sectional study.

Participants

38 940 participants aged 16+ (Health Survey for England 2011-2016) with non-missing self-reported and interviewer-measured height and weight.

Main outcome measures

Comparisons between s

SUBMITTER: Scholes S 

PROVIDER: S-EPMC9843181 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature