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The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China
Urbanization has been and will continue to be the mainstream trend of global population movement, including China. Depression is the most common mental disorders and the leading factor of disabilities. However, the impacts of urbanization on the depression occurrence are still unclear. This paper an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585885/ https://www.ncbi.nlm.nih.gov/pubmed/33095089 http://dx.doi.org/10.1177/0046958020965470 |
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author | He, Shan Song, Duo Jian, Wei-yan |
author_facet | He, Shan Song, Duo Jian, Wei-yan |
author_sort | He, Shan |
collection | PubMed |
description | Urbanization has been and will continue to be the mainstream trend of global population movement, including China. Depression is the most common mental disorders and the leading factor of disabilities. However, the impacts of urbanization on the depression occurrence are still unclear. This paper analyzed the data from 3 waves of the China Health and Retirement Longitudinal Study (CHARLS) with sample size as 8510 adults representing the middle aged and elderly group in China. Depression was identified and measured by the 10-item Center for Epidemiological Studies Depression Scale (CESD-10). Urbanization level was measured by population density, GDP per capita and secondary/tertiary industry as percentage to GDP in the China City Statistical Yearbook. The fixed effect regression model was used to explore the association between the changes of urbanization and depression. As result, depression is closely related to the urbanization, protective effects are found for 3 indicators above: The depression prevalence decreases while urbanization level increases (from lowest urbanization level to the highest: P < 0.01). Among the 10 depression symptoms, “Bothered”, “Reduced energy leading to diminished activity” and “Hopelessness” are the most significantly improved with urbanization. The impact of urbanization on residents’ mental health is a long-term, multi-factor interaction. Therefore we need to fully consider all possible influencing factors, and longer follow-up study to verify. |
format | Online Article Text |
id | pubmed-7585885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-75858852020-11-03 The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China He, Shan Song, Duo Jian, Wei-yan Inquiry The Evolution of the Hospital Market in China Urbanization has been and will continue to be the mainstream trend of global population movement, including China. Depression is the most common mental disorders and the leading factor of disabilities. However, the impacts of urbanization on the depression occurrence are still unclear. This paper analyzed the data from 3 waves of the China Health and Retirement Longitudinal Study (CHARLS) with sample size as 8510 adults representing the middle aged and elderly group in China. Depression was identified and measured by the 10-item Center for Epidemiological Studies Depression Scale (CESD-10). Urbanization level was measured by population density, GDP per capita and secondary/tertiary industry as percentage to GDP in the China City Statistical Yearbook. The fixed effect regression model was used to explore the association between the changes of urbanization and depression. As result, depression is closely related to the urbanization, protective effects are found for 3 indicators above: The depression prevalence decreases while urbanization level increases (from lowest urbanization level to the highest: P < 0.01). Among the 10 depression symptoms, “Bothered”, “Reduced energy leading to diminished activity” and “Hopelessness” are the most significantly improved with urbanization. The impact of urbanization on residents’ mental health is a long-term, multi-factor interaction. Therefore we need to fully consider all possible influencing factors, and longer follow-up study to verify. SAGE Publications 2020-10-23 /pmc/articles/PMC7585885/ /pubmed/33095089 http://dx.doi.org/10.1177/0046958020965470 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | The Evolution of the Hospital Market in China He, Shan Song, Duo Jian, Wei-yan The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China |
title | The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China |
title_full | The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China |
title_fullStr | The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China |
title_full_unstemmed | The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China |
title_short | The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China |
title_sort | association between urbanization and depression among the middle-aged and elderly: a longitudinal study in china |
topic | The Evolution of the Hospital Market in China |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585885/ https://www.ncbi.nlm.nih.gov/pubmed/33095089 http://dx.doi.org/10.1177/0046958020965470 |
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