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Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey

OBJECTIVE: This study aims to investigate the 10-year trends and disparities in underweight, overweight, and obesity among older adults aged 65 years and older in China from 2008 to 2018. METHODS: We used four waves (2008, 2011, 2014, and 2018) of data from the Chinese Longitudinal Healthy Longevity...

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Autores principales: Jiesisibieke, Dina, Feng, Yuting, Jiesisibieke, Zhu Liduzi, Liu, Jue, Tao, Liyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353183/
https://www.ncbi.nlm.nih.gov/pubmed/37464263
http://dx.doi.org/10.1186/s12889-023-16310-6
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author Jiesisibieke, Dina
Feng, Yuting
Jiesisibieke, Zhu Liduzi
Liu, Jue
Tao, Liyuan
author_facet Jiesisibieke, Dina
Feng, Yuting
Jiesisibieke, Zhu Liduzi
Liu, Jue
Tao, Liyuan
author_sort Jiesisibieke, Dina
collection PubMed
description OBJECTIVE: This study aims to investigate the 10-year trends and disparities in underweight, overweight, and obesity among older adults aged 65 years and older in China from 2008 to 2018. METHODS: We used four waves (2008, 2011, 2014, and 2018) of data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), a national community-based cross-sectional survey conducted every 2–3 years. Body weight and height were measured by trained assessors following standardized procedures. BMI was calculated and divided into underweight (< 18.5 kg/m(2)), normal (18.5–24.9 kg/m(2)), overweight (25.0-29.9 kg/m(2)), obese (≥ 30.0 kg/m(2)) according to WHO reference. Multinomial logistic regression models were used to examine factors related with abnormal BMI groups, after adjusting for potential confounders. RESULTS: Among 46,543 older adults in China, the prevalence rates of underweight decreased with each survey year from 2008 to 2018, declining from 20.05 to 7.87% (p < 0.001). In contrast, the prevalence rates of overweight and obesity showed an increasing trend (all p < 0.001). Specifically, the prevalence of overweight rose from 12.82% to 2008 to 28.45% in 2018, and the prevalence of obesity increased from 1.62% to 2008 to 4.95% in 2018. In the multinomial logistic regression model, survey year, gender, residence, marital status, economic status, numbers of chronic diseases, smoking status, sleep quality, and functional disability were factors related with obesity. CONCLUSION: The prevalence rates of overweight and obesity were increasing while the prevalence of underweight and normal weight significantly decreased from 2008 to 2018 among older adults in China, which poses a huge challenge for chronic disease. There is an urgent need for intervention policy planning and early prevention of abnormal body weight for the preparation of an aging society. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16310-6.
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spelling pubmed-103531832023-07-19 Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey Jiesisibieke, Dina Feng, Yuting Jiesisibieke, Zhu Liduzi Liu, Jue Tao, Liyuan BMC Public Health Research OBJECTIVE: This study aims to investigate the 10-year trends and disparities in underweight, overweight, and obesity among older adults aged 65 years and older in China from 2008 to 2018. METHODS: We used four waves (2008, 2011, 2014, and 2018) of data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), a national community-based cross-sectional survey conducted every 2–3 years. Body weight and height were measured by trained assessors following standardized procedures. BMI was calculated and divided into underweight (< 18.5 kg/m(2)), normal (18.5–24.9 kg/m(2)), overweight (25.0-29.9 kg/m(2)), obese (≥ 30.0 kg/m(2)) according to WHO reference. Multinomial logistic regression models were used to examine factors related with abnormal BMI groups, after adjusting for potential confounders. RESULTS: Among 46,543 older adults in China, the prevalence rates of underweight decreased with each survey year from 2008 to 2018, declining from 20.05 to 7.87% (p < 0.001). In contrast, the prevalence rates of overweight and obesity showed an increasing trend (all p < 0.001). Specifically, the prevalence of overweight rose from 12.82% to 2008 to 28.45% in 2018, and the prevalence of obesity increased from 1.62% to 2008 to 4.95% in 2018. In the multinomial logistic regression model, survey year, gender, residence, marital status, economic status, numbers of chronic diseases, smoking status, sleep quality, and functional disability were factors related with obesity. CONCLUSION: The prevalence rates of overweight and obesity were increasing while the prevalence of underweight and normal weight significantly decreased from 2008 to 2018 among older adults in China, which poses a huge challenge for chronic disease. There is an urgent need for intervention policy planning and early prevention of abnormal body weight for the preparation of an aging society. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16310-6. BioMed Central 2023-07-18 /pmc/articles/PMC10353183/ /pubmed/37464263 http://dx.doi.org/10.1186/s12889-023-16310-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Jiesisibieke, Dina
Feng, Yuting
Jiesisibieke, Zhu Liduzi
Liu, Jue
Tao, Liyuan
Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey
title Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey
title_full Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey
title_fullStr Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey
title_full_unstemmed Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey
title_short Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey
title_sort trends of underweight, overweight, and obesity among older adults in china from 2008 to 2018: a national observational survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353183/
https://www.ncbi.nlm.nih.gov/pubmed/37464263
http://dx.doi.org/10.1186/s12889-023-16310-6
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