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Urban-Rural Mental Health Disparities in China: The Neighborhood Effects

This paper intended to explore the neighborhood effects on mental health disparities of urban and rural residents in Mainland China. Data were drawn from the CHARLS baseline (2011). The sample included 450 neighborhoods, with 3907 urban residents and 13,391 rural residents older than 45 years old. M...

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Autor principal: Han, Chengming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741724/
http://dx.doi.org/10.1093/geroni/igaa057.316
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author Han, Chengming
author_facet Han, Chengming
author_sort Han, Chengming
collection PubMed
description This paper intended to explore the neighborhood effects on mental health disparities of urban and rural residents in Mainland China. Data were drawn from the CHARLS baseline (2011). The sample included 450 neighborhoods, with 3907 urban residents and 13,391 rural residents older than 45 years old. Multilevel model was used to determine the neighborhoods’ effects and individual effects on depressive symptom scores (CES-D). Independent variables included social activities, health status, and demographic characteristics. The result reveals three context effects of urban-rural neighborhoods: first, people living in urban communities reported better physical health, higher educational levels, and lower depressive symptoms than their rural counterparts. Second, people living in urban communities are more engaged in social activities than people living in rural villages. Third, the urban neighborhoods present more variations in depressive symptoms and social activities than the rural neighborhoods.
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spelling pubmed-77417242020-12-21 Urban-Rural Mental Health Disparities in China: The Neighborhood Effects Han, Chengming Innov Aging Abstracts This paper intended to explore the neighborhood effects on mental health disparities of urban and rural residents in Mainland China. Data were drawn from the CHARLS baseline (2011). The sample included 450 neighborhoods, with 3907 urban residents and 13,391 rural residents older than 45 years old. Multilevel model was used to determine the neighborhoods’ effects and individual effects on depressive symptom scores (CES-D). Independent variables included social activities, health status, and demographic characteristics. The result reveals three context effects of urban-rural neighborhoods: first, people living in urban communities reported better physical health, higher educational levels, and lower depressive symptoms than their rural counterparts. Second, people living in urban communities are more engaged in social activities than people living in rural villages. Third, the urban neighborhoods present more variations in depressive symptoms and social activities than the rural neighborhoods. Oxford University Press 2020-12-16 /pmc/articles/PMC7741724/ http://dx.doi.org/10.1093/geroni/igaa057.316 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Han, Chengming
Urban-Rural Mental Health Disparities in China: The Neighborhood Effects
title Urban-Rural Mental Health Disparities in China: The Neighborhood Effects
title_full Urban-Rural Mental Health Disparities in China: The Neighborhood Effects
title_fullStr Urban-Rural Mental Health Disparities in China: The Neighborhood Effects
title_full_unstemmed Urban-Rural Mental Health Disparities in China: The Neighborhood Effects
title_short Urban-Rural Mental Health Disparities in China: The Neighborhood Effects
title_sort urban-rural mental health disparities in china: the neighborhood effects
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741724/
http://dx.doi.org/10.1093/geroni/igaa057.316
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