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Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates
BACKGROUND: Anthropometric measurements and indices such as weight, height and Body Mass Index (BMI) are often used to assess overall health and nutritional status. Clinicians and epidemiologists often rely on self-reported weight and height to measure BMI. Differences between self-reported and meas...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575622/ https://www.ncbi.nlm.nih.gov/pubmed/36253740 http://dx.doi.org/10.1186/s12889-022-14326-y |
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author | Fry, Jane M. Temple, Jeromey B. |
author_facet | Fry, Jane M. Temple, Jeromey B. |
author_sort | Fry, Jane M. |
collection | PubMed |
description | BACKGROUND: Anthropometric measurements and indices such as weight, height and Body Mass Index (BMI) are often used to assess overall health and nutritional status. Clinicians and epidemiologists often rely on self-reported weight and height to measure BMI. Differences between self-reported and measured weight and height can lead to differences between self-reported and measured BMI, biasing relative risks of diseases associated with differential BMI. METHODS: Applying regression analysis to a large nationally representative survey data with contemporaneous self-reports and measurements on 3412 individuals aged 65 or over, we provided estimates of the difference between self-reports and measurements of weight, height and BMI for older Australians, analysing demographic, socioeconomic and health correlates of estimated differences. RESULTS: We found both males and females underestimated weight, overestimated height and underestimated BMI and there was some evidence these differences increased with age. There was also evidence that these differences were associated with high levels of education and household composition. CONCLUSION: Although average differences were small, for many individuals the differences may be significant, indicating measurements should be taken in clinically focused research and practice. This is important as systematic underestimation of BMI in older adults can have implications for estimating the size of populations at risk of many health conditions, including diabetes, hypertension and functional limitations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14326-y. |
format | Online Article Text |
id | pubmed-9575622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95756222022-10-17 Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates Fry, Jane M. Temple, Jeromey B. BMC Public Health Research BACKGROUND: Anthropometric measurements and indices such as weight, height and Body Mass Index (BMI) are often used to assess overall health and nutritional status. Clinicians and epidemiologists often rely on self-reported weight and height to measure BMI. Differences between self-reported and measured weight and height can lead to differences between self-reported and measured BMI, biasing relative risks of diseases associated with differential BMI. METHODS: Applying regression analysis to a large nationally representative survey data with contemporaneous self-reports and measurements on 3412 individuals aged 65 or over, we provided estimates of the difference between self-reports and measurements of weight, height and BMI for older Australians, analysing demographic, socioeconomic and health correlates of estimated differences. RESULTS: We found both males and females underestimated weight, overestimated height and underestimated BMI and there was some evidence these differences increased with age. There was also evidence that these differences were associated with high levels of education and household composition. CONCLUSION: Although average differences were small, for many individuals the differences may be significant, indicating measurements should be taken in clinically focused research and practice. This is important as systematic underestimation of BMI in older adults can have implications for estimating the size of populations at risk of many health conditions, including diabetes, hypertension and functional limitations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14326-y. BioMed Central 2022-10-17 /pmc/articles/PMC9575622/ /pubmed/36253740 http://dx.doi.org/10.1186/s12889-022-14326-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Fry, Jane M. Temple, Jeromey B. Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates |
title | Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates |
title_full | Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates |
title_fullStr | Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates |
title_full_unstemmed | Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates |
title_short | Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates |
title_sort | discrepancies in self-reported and measured anthropometric measurements and indices among older australians: prevalence and correlates |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575622/ https://www.ncbi.nlm.nih.gov/pubmed/36253740 http://dx.doi.org/10.1186/s12889-022-14326-y |
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