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Exploring the association between urbanisation and self-rated health of older adults in China: evidence from a national population sample survey
OBJECTIVES: This study investigated the association between urbanisation and self-rated health of older adults in China, particularly how different dimensions, rate and level of urbanisation are related to older people’s health. Additionally, it examined the moderating effect of education on the ass...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597632/ https://www.ncbi.nlm.nih.gov/pubmed/31239306 http://dx.doi.org/10.1136/bmjopen-2019-029176 |
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author | Liu, Ye Huang, Baishi Wang, Ruoyu Feng, Zhixin Liu, Yuqi Li, Zhigang |
author_facet | Liu, Ye Huang, Baishi Wang, Ruoyu Feng, Zhixin Liu, Yuqi Li, Zhigang |
author_sort | Liu, Ye |
collection | PubMed |
description | OBJECTIVES: This study investigated the association between urbanisation and self-rated health of older adults in China, particularly how different dimensions, rate and level of urbanisation are related to older people’s health. Additionally, it examined the moderating effect of education on the association between each of the four dimensions of urbanisation and older people’s health. DESIGN: The study uses a cross-sectional survey design. PARTICIPANTS: This study analysed 236 030 individuals (aged 60–79 years) nested within 267 prefecture-level cities from 2005 China’s 1% population sample survey. OUTCOME MEASURES: Self-rated health was the outcome variable. Four groups of predictors assessed prefectures’ level and rate of urbanisation: land-use conversion, economic growth, population concentration and health services. Multilevel logistic regression was used to examine the association between self-rated health and the level and rate of urbanisation, after adjusting for individual-level covariates. Multiplicative interactions explored variations by education. RESULTS: The odd of reporting fair or poor health was negatively associated with the level and rate of population concentration (OR 0.93,95%CI 0.87 to 0.99 and 0.74,95%CI 0.59 to 0.93, respectively) and positively associated with the level of health services (OR 1.12, 95% CI 1.06 to 1.19). Land-use conversion, economic growth and health service improvements (the forms of rate of urbanisation) were not significantly associated with self-rated health. Education had a moderating effect on the association between urbanisation and self-rated health. CONCLUSIONS: Older people living in more densely populated areas and areas undergoing rapid population concentration were less likely to report fair or poor health. This result supports healthy migration and ‘salmon bias’ hypotheses. No urban health penalty was observed for the older adults in China; therefore, the following pathways linking urbanisation to health are unclear: lifestyle changes, environmental pollution and cultivated land reduction. |
format | Online Article Text |
id | pubmed-6597632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65976322019-07-18 Exploring the association between urbanisation and self-rated health of older adults in China: evidence from a national population sample survey Liu, Ye Huang, Baishi Wang, Ruoyu Feng, Zhixin Liu, Yuqi Li, Zhigang BMJ Open Public Health OBJECTIVES: This study investigated the association between urbanisation and self-rated health of older adults in China, particularly how different dimensions, rate and level of urbanisation are related to older people’s health. Additionally, it examined the moderating effect of education on the association between each of the four dimensions of urbanisation and older people’s health. DESIGN: The study uses a cross-sectional survey design. PARTICIPANTS: This study analysed 236 030 individuals (aged 60–79 years) nested within 267 prefecture-level cities from 2005 China’s 1% population sample survey. OUTCOME MEASURES: Self-rated health was the outcome variable. Four groups of predictors assessed prefectures’ level and rate of urbanisation: land-use conversion, economic growth, population concentration and health services. Multilevel logistic regression was used to examine the association between self-rated health and the level and rate of urbanisation, after adjusting for individual-level covariates. Multiplicative interactions explored variations by education. RESULTS: The odd of reporting fair or poor health was negatively associated with the level and rate of population concentration (OR 0.93,95%CI 0.87 to 0.99 and 0.74,95%CI 0.59 to 0.93, respectively) and positively associated with the level of health services (OR 1.12, 95% CI 1.06 to 1.19). Land-use conversion, economic growth and health service improvements (the forms of rate of urbanisation) were not significantly associated with self-rated health. Education had a moderating effect on the association between urbanisation and self-rated health. CONCLUSIONS: Older people living in more densely populated areas and areas undergoing rapid population concentration were less likely to report fair or poor health. This result supports healthy migration and ‘salmon bias’ hypotheses. No urban health penalty was observed for the older adults in China; therefore, the following pathways linking urbanisation to health are unclear: lifestyle changes, environmental pollution and cultivated land reduction. BMJ Publishing Group 2019-06-24 /pmc/articles/PMC6597632/ /pubmed/31239306 http://dx.doi.org/10.1136/bmjopen-2019-029176 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Public Health Liu, Ye Huang, Baishi Wang, Ruoyu Feng, Zhixin Liu, Yuqi Li, Zhigang Exploring the association between urbanisation and self-rated health of older adults in China: evidence from a national population sample survey |
title | Exploring the association between urbanisation and self-rated health of older adults in China: evidence from a national population sample survey |
title_full | Exploring the association between urbanisation and self-rated health of older adults in China: evidence from a national population sample survey |
title_fullStr | Exploring the association between urbanisation and self-rated health of older adults in China: evidence from a national population sample survey |
title_full_unstemmed | Exploring the association between urbanisation and self-rated health of older adults in China: evidence from a national population sample survey |
title_short | Exploring the association between urbanisation and self-rated health of older adults in China: evidence from a national population sample survey |
title_sort | exploring the association between urbanisation and self-rated health of older adults in china: evidence from a national population sample survey |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597632/ https://www.ncbi.nlm.nih.gov/pubmed/31239306 http://dx.doi.org/10.1136/bmjopen-2019-029176 |
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