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Changes of inequality in functional disability of older populations in China from 2008 to 2018: a decomposition analysis

BACKGROUND: This study aims to determine the change of inequality in functional disability of older populations in China over the period from 2008 to 2018 and decompose the contribution of the personal and environmental predictors to the change. METHODS: Data were drawn from two waves (2008 and 2018...

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Autores principales: Zhang, Tao, Liu, Chaojie, Lu, Beiyin, Wang, Xiaohe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994264/
https://www.ncbi.nlm.nih.gov/pubmed/35397500
http://dx.doi.org/10.1186/s12877-022-02987-8
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author Zhang, Tao
Liu, Chaojie
Lu, Beiyin
Wang, Xiaohe
author_facet Zhang, Tao
Liu, Chaojie
Lu, Beiyin
Wang, Xiaohe
author_sort Zhang, Tao
collection PubMed
description BACKGROUND: This study aims to determine the change of inequality in functional disability of older populations in China over the period from 2008 to 2018 and decompose the contribution of the personal and environmental predictors to the change. METHODS: Data were drawn from two waves (2008 and 2018) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Functional disability was assessed by the basic activities of daily living (ADL) and the instrumental activities of daily living (IADL). Concentration index (CI) was calculated to measure the socioeconomic inequality in ADL and IADL. A two-level linear regression model was established to identify the individual and care environmental predictors and their contribution to the inequality of ADL and IADL, respectively. The Oaxaca-type decomposition technique was adopted to estimate the contribution of these predictors to changes of the inequality in ADL and IADL over the period from 2008 to 2018. RESULTS: Socioeconomic inequality in functional disability of older adults increased over the period from 2008 to 2018, with the CI for ADL changing from − 0.0085 to − 0.0137 and the CI for IADL changing from − 0.0164 to − 0.0276, respectively. Self-rated economic status was the single most powerful predictor of changes in the inequality, although the growing and dominant rating of older persons with fare economic status could offset the detrimental effects of other (rich or poor) ratings on the changes. The enlarged inequality was also attributable to the increasing importance of regular exercise and its distributional changes, as well as the accumulative long-term effect of farming in earlier life. They outweighed the counteracting effects of rural residency, living with chronic conditions and in an institution. CONCLUSIONS: Socioeconomic inequality in functional disability of older populations in China increased over the period from 2008 to 2018. Re-distribution of wealth remains to be a powerful instrument for addressing the inequality issue, but alone it is not enough. The detrimental accumulative effect of farming will not disappear any time soon. While rural residents are catching up with their urban counterparts, new challenges such as physical inactivity are emerging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02987-8.
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spelling pubmed-89942642022-04-10 Changes of inequality in functional disability of older populations in China from 2008 to 2018: a decomposition analysis Zhang, Tao Liu, Chaojie Lu, Beiyin Wang, Xiaohe BMC Geriatr Research BACKGROUND: This study aims to determine the change of inequality in functional disability of older populations in China over the period from 2008 to 2018 and decompose the contribution of the personal and environmental predictors to the change. METHODS: Data were drawn from two waves (2008 and 2018) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Functional disability was assessed by the basic activities of daily living (ADL) and the instrumental activities of daily living (IADL). Concentration index (CI) was calculated to measure the socioeconomic inequality in ADL and IADL. A two-level linear regression model was established to identify the individual and care environmental predictors and their contribution to the inequality of ADL and IADL, respectively. The Oaxaca-type decomposition technique was adopted to estimate the contribution of these predictors to changes of the inequality in ADL and IADL over the period from 2008 to 2018. RESULTS: Socioeconomic inequality in functional disability of older adults increased over the period from 2008 to 2018, with the CI for ADL changing from − 0.0085 to − 0.0137 and the CI for IADL changing from − 0.0164 to − 0.0276, respectively. Self-rated economic status was the single most powerful predictor of changes in the inequality, although the growing and dominant rating of older persons with fare economic status could offset the detrimental effects of other (rich or poor) ratings on the changes. The enlarged inequality was also attributable to the increasing importance of regular exercise and its distributional changes, as well as the accumulative long-term effect of farming in earlier life. They outweighed the counteracting effects of rural residency, living with chronic conditions and in an institution. CONCLUSIONS: Socioeconomic inequality in functional disability of older populations in China increased over the period from 2008 to 2018. Re-distribution of wealth remains to be a powerful instrument for addressing the inequality issue, but alone it is not enough. The detrimental accumulative effect of farming will not disappear any time soon. While rural residents are catching up with their urban counterparts, new challenges such as physical inactivity are emerging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02987-8. BioMed Central 2022-04-09 /pmc/articles/PMC8994264/ /pubmed/35397500 http://dx.doi.org/10.1186/s12877-022-02987-8 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
Zhang, Tao
Liu, Chaojie
Lu, Beiyin
Wang, Xiaohe
Changes of inequality in functional disability of older populations in China from 2008 to 2018: a decomposition analysis
title Changes of inequality in functional disability of older populations in China from 2008 to 2018: a decomposition analysis
title_full Changes of inequality in functional disability of older populations in China from 2008 to 2018: a decomposition analysis
title_fullStr Changes of inequality in functional disability of older populations in China from 2008 to 2018: a decomposition analysis
title_full_unstemmed Changes of inequality in functional disability of older populations in China from 2008 to 2018: a decomposition analysis
title_short Changes of inequality in functional disability of older populations in China from 2008 to 2018: a decomposition analysis
title_sort changes of inequality in functional disability of older populations in china from 2008 to 2018: a decomposition analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994264/
https://www.ncbi.nlm.nih.gov/pubmed/35397500
http://dx.doi.org/10.1186/s12877-022-02987-8
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