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Urban-rural disparities in the healthy ageing trajectory in China: a population-based study

PURPOSE: The aim of this study is to measure the trajectory of healthy ageing among Chinese middle-aged and older population, and explore the disparity of the trajectory, as well as contributing factors, between urban and rural areas in China. METHODS: A total of 9402 respondents aged 45 years and o...

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Autores principales: Li, Haomiao, Zeng, Yixin, Gan, Li, Tuersun, Yusupujiang, Yang, Jiao, Liu, Jing, Chen, Jiangyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308310/
https://www.ncbi.nlm.nih.gov/pubmed/35870914
http://dx.doi.org/10.1186/s12889-022-13757-x
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author Li, Haomiao
Zeng, Yixin
Gan, Li
Tuersun, Yusupujiang
Yang, Jiao
Liu, Jing
Chen, Jiangyun
author_facet Li, Haomiao
Zeng, Yixin
Gan, Li
Tuersun, Yusupujiang
Yang, Jiao
Liu, Jing
Chen, Jiangyun
author_sort Li, Haomiao
collection PubMed
description PURPOSE: The aim of this study is to measure the trajectory of healthy ageing among Chinese middle-aged and older population, and explore the disparity of the trajectory, as well as contributing factors, between urban and rural areas in China. METHODS: A total of 9402 respondents aged 45 years and older interviewed in four waves (2011, 2013, 2015 and 2018) were selected from the China Health and Retirement Longitudinal Study. Healthy ageing score was calculated through item response theory. A latent growth mixture model (LGMM) was applied to distinguish the trajectory of healthy aging. A multinomial logistics regression model (MLRM) was used to explore the relationship between urban-rural areas and healthy aging trajectories, and further to explore associated factors in rural and urban areas separately. RESULTS: The healthy ageing score was lower in rural areas than urban areas in each survey wave. Five classes (“continuing-low”, “continuing-middle”, “continuing-middle-to-high”, “significantly-declining”, “continuing-high”) were grouped through LGMM. The MLRM results showed that urban living was significantly associated with a higher likelihood of being healthy (for [continuing-low/continuing-high]: β = − 1.17, RRR = 0.31, P < 0.001, 95% CI = 0.18–0.53; and for [continuing-middle/continuing-high]: β = − 0.53, RRR = 0.59, P < 0.001, 95% CI = 0.49–0.71). CONCLUSION: Healthy ageing is a prominent objective in the development of a country, and rural-urban disparities are an essential obstacle to overcome, with the rural population more likely to develop a low level of healthy ageing trajectory. Prevention and standardized management of chronic diseases should be enhanced, and social participation should be encouraged to promote healthy ageing. The policy inclination and resource investment should be enhanced to reduce disparity in healthy ageing between urban and rural areas in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13757-x.
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spelling pubmed-93083102022-07-24 Urban-rural disparities in the healthy ageing trajectory in China: a population-based study Li, Haomiao Zeng, Yixin Gan, Li Tuersun, Yusupujiang Yang, Jiao Liu, Jing Chen, Jiangyun BMC Public Health Research PURPOSE: The aim of this study is to measure the trajectory of healthy ageing among Chinese middle-aged and older population, and explore the disparity of the trajectory, as well as contributing factors, between urban and rural areas in China. METHODS: A total of 9402 respondents aged 45 years and older interviewed in four waves (2011, 2013, 2015 and 2018) were selected from the China Health and Retirement Longitudinal Study. Healthy ageing score was calculated through item response theory. A latent growth mixture model (LGMM) was applied to distinguish the trajectory of healthy aging. A multinomial logistics regression model (MLRM) was used to explore the relationship between urban-rural areas and healthy aging trajectories, and further to explore associated factors in rural and urban areas separately. RESULTS: The healthy ageing score was lower in rural areas than urban areas in each survey wave. Five classes (“continuing-low”, “continuing-middle”, “continuing-middle-to-high”, “significantly-declining”, “continuing-high”) were grouped through LGMM. The MLRM results showed that urban living was significantly associated with a higher likelihood of being healthy (for [continuing-low/continuing-high]: β = − 1.17, RRR = 0.31, P < 0.001, 95% CI = 0.18–0.53; and for [continuing-middle/continuing-high]: β = − 0.53, RRR = 0.59, P < 0.001, 95% CI = 0.49–0.71). CONCLUSION: Healthy ageing is a prominent objective in the development of a country, and rural-urban disparities are an essential obstacle to overcome, with the rural population more likely to develop a low level of healthy ageing trajectory. Prevention and standardized management of chronic diseases should be enhanced, and social participation should be encouraged to promote healthy ageing. The policy inclination and resource investment should be enhanced to reduce disparity in healthy ageing between urban and rural areas in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13757-x. BioMed Central 2022-07-23 /pmc/articles/PMC9308310/ /pubmed/35870914 http://dx.doi.org/10.1186/s12889-022-13757-x 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
Li, Haomiao
Zeng, Yixin
Gan, Li
Tuersun, Yusupujiang
Yang, Jiao
Liu, Jing
Chen, Jiangyun
Urban-rural disparities in the healthy ageing trajectory in China: a population-based study
title Urban-rural disparities in the healthy ageing trajectory in China: a population-based study
title_full Urban-rural disparities in the healthy ageing trajectory in China: a population-based study
title_fullStr Urban-rural disparities in the healthy ageing trajectory in China: a population-based study
title_full_unstemmed Urban-rural disparities in the healthy ageing trajectory in China: a population-based study
title_short Urban-rural disparities in the healthy ageing trajectory in China: a population-based study
title_sort urban-rural disparities in the healthy ageing trajectory in china: a population-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308310/
https://www.ncbi.nlm.nih.gov/pubmed/35870914
http://dx.doi.org/10.1186/s12889-022-13757-x
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