Cargando…
The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study
BACKGROUND: This study tentatively constructs a composite measure of Chinese Healthy Ageing Index (CHAI) among older adults aged 60+ and investigates change of CHAI during 2011–2015 and its association with sociodemographic characteristics. METHODS: Data collected from 8182 old adults aged 60+ in th...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839192/ https://www.ncbi.nlm.nih.gov/pubmed/33499807 http://dx.doi.org/10.1186/s12877-021-02026-y |
_version_ | 1783643345411637248 |
---|---|
author | Nie, Peng Li, Yan Zhang, Nan Sun, Xiaomin Xin, Bao Wang, Youfa |
author_facet | Nie, Peng Li, Yan Zhang, Nan Sun, Xiaomin Xin, Bao Wang, Youfa |
author_sort | Nie, Peng |
collection | PubMed |
description | BACKGROUND: This study tentatively constructs a composite measure of Chinese Healthy Ageing Index (CHAI) among older adults aged 60+ and investigates change of CHAI during 2011–2015 and its association with sociodemographic characteristics. METHODS: Data collected from 8182 old adults aged 60+ in the 2011 and 2015 China Health and Retirement Longitudinal Study (CHARLS, a nationally representative sample) were used. Six medical measures of blood pressure, peak expiratory flow, cognitive status score, fasting glucose, kidney function and C-reactive function were used to construct CHAI (range 0–12, 0–2 = healthiest, 7–12 = unhealthiest). Ordinary least squares, logistic and random effects models examined social and spatial determinants of CHAI score and the prevalence of the ideal CHAI. Unconditional quantile regression tested heterogeneous impacts of sociodemographic determinants of CHAI score. RESULTS: Mean CHAI score declined from 5.7 to 5.2, and the proportion of the ideal CHAI (CHAI score = 0–2) increased from 5.6 to 9.4% during 2011–2015, indicating an improvement in healthy ageing over time. During 2011–2015, the highest rates of the ideal CHAI were in Southeast and East of China. Older adults, male, living in the Center and West, smoking, obesity/overweight and having chronic diseases were positively associated with total CHAI score and negatively with a higher prevalence of the ideal CHAI. Being married, having high education and regular social activities were associated with a higher rate of the ideal CHAI. The positive predictors for total CHAI were stronger in those with worse CHAI status. CONCLUSIONS: In China healthy ageing has improved during 2011–2015, but substantial geographical and sociodemographic heterogeneities exist in the improvements, suggesting health equality remains a challenge in China. Future policies and interventions should especially focus on men, those in Central and West China, and combat health problems like obesity, chronic diseases and unhealthy behaviors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02026-y. |
format | Online Article Text |
id | pubmed-7839192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78391922021-01-27 The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study Nie, Peng Li, Yan Zhang, Nan Sun, Xiaomin Xin, Bao Wang, Youfa BMC Geriatr Research Article BACKGROUND: This study tentatively constructs a composite measure of Chinese Healthy Ageing Index (CHAI) among older adults aged 60+ and investigates change of CHAI during 2011–2015 and its association with sociodemographic characteristics. METHODS: Data collected from 8182 old adults aged 60+ in the 2011 and 2015 China Health and Retirement Longitudinal Study (CHARLS, a nationally representative sample) were used. Six medical measures of blood pressure, peak expiratory flow, cognitive status score, fasting glucose, kidney function and C-reactive function were used to construct CHAI (range 0–12, 0–2 = healthiest, 7–12 = unhealthiest). Ordinary least squares, logistic and random effects models examined social and spatial determinants of CHAI score and the prevalence of the ideal CHAI. Unconditional quantile regression tested heterogeneous impacts of sociodemographic determinants of CHAI score. RESULTS: Mean CHAI score declined from 5.7 to 5.2, and the proportion of the ideal CHAI (CHAI score = 0–2) increased from 5.6 to 9.4% during 2011–2015, indicating an improvement in healthy ageing over time. During 2011–2015, the highest rates of the ideal CHAI were in Southeast and East of China. Older adults, male, living in the Center and West, smoking, obesity/overweight and having chronic diseases were positively associated with total CHAI score and negatively with a higher prevalence of the ideal CHAI. Being married, having high education and regular social activities were associated with a higher rate of the ideal CHAI. The positive predictors for total CHAI were stronger in those with worse CHAI status. CONCLUSIONS: In China healthy ageing has improved during 2011–2015, but substantial geographical and sociodemographic heterogeneities exist in the improvements, suggesting health equality remains a challenge in China. Future policies and interventions should especially focus on men, those in Central and West China, and combat health problems like obesity, chronic diseases and unhealthy behaviors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02026-y. BioMed Central 2021-01-27 /pmc/articles/PMC7839192/ /pubmed/33499807 http://dx.doi.org/10.1186/s12877-021-02026-y Text en © The Author(s) 2021 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/. 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 in a credit line to the data. |
spellingShingle | Research Article Nie, Peng Li, Yan Zhang, Nan Sun, Xiaomin Xin, Bao Wang, Youfa The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study |
title | The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study |
title_full | The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study |
title_fullStr | The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study |
title_full_unstemmed | The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study |
title_short | The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study |
title_sort | change and correlates of healthy ageing among chinese older adults: findings from the china health and retirement longitudinal study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839192/ https://www.ncbi.nlm.nih.gov/pubmed/33499807 http://dx.doi.org/10.1186/s12877-021-02026-y |
work_keys_str_mv | AT niepeng thechangeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT liyan thechangeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT zhangnan thechangeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT sunxiaomin thechangeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT xinbao thechangeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT wangyoufa thechangeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT niepeng changeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT liyan changeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT zhangnan changeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT sunxiaomin changeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT xinbao changeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy AT wangyoufa changeandcorrelatesofhealthyageingamongchineseolderadultsfindingsfromthechinahealthandretirementlongitudinalstudy |