Open Research Newcastle
Browse

Does BMI generated by self-reported height and weight measure up in older adults from middle-income countries?: results from the study on global AGEing and adult health (SAGE)

Download (491.37 kB)
journal contribution
posted on 2025-05-10, 12:21 authored by Theresa E. Gildner, Tyler M. Barrett, Melissa A. Liebert, Paul KowalPaul Kowal, J. Josh Snodgrass
Self-reported (SR) body mass index (BMI) values are often used to determine obesity prevalence. However, individuals frequently overestimate their height and underestimate their weight, resulting in artificially lower obesity prevalence rates. These patterns are especially apparent among older adults and overweight individuals. The present cross-sectional study uses nationally representative datasets from five countries to assess the accuracy of SR BMI values in diverse settings. Samples of older adults (≥50 years old) and comparative samples of younger adults (18-49 years old) were drawn from five middle-income countries (China, India, Mexico, Russian Federation, and South Africa) in the World Health Organization's Study on global AGEing and adult health (SAGE). Participant-reported and researcher-obtained height and weight measures were used to calculate SR and measured BMI, respectively. Paired t-tests assessed differences between SR and measured BMI values by country. Linear regressions examined the contribution of measured weight and age to differences between SR and measured BMI. Significant differences between SR and measured BMI values were observed (p<0.05), but the direction of these discrepancies varied by country, age, and sex. Measured weight significantly contributed to differences between SR and measured BMI in all countries (p<0.01). Age did not contribute significantly to variation in BMI discrepancy, except in China (p<0.001). These results suggest that SR BMI may not accurately reflect measured BMI in middle-income countries, but the direction of this discrepancy varies by country. This has considerable implications for obesity-related disease estimates reliant on SR data.

History

Journal title

BMC obesity

Volume

2

Publisher

BioMed Central

Language

  • en, English

College/Research Centre

Faculty of Health and Medicine

School

Centre for Gender Health and Ageing

Rights statement

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Usage metrics

    Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC