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Neighborhood and Depressive Symptoms: A Comparison of Rural and Urban Chinese Older Adults
Journal article   Open access   Peer reviewed

Neighborhood and Depressive Symptoms: A Comparison of Rural and Urban Chinese Older Adults

Yi Wang, Yu-Chih Chen, Huei-Wern Shen and Nancy Morrow-Howell
The Gerontologist, Vol.58(1), pp.68-78
01/18/2018
DOI: 10.1093/geront/gnx063
PMID: 28486645
url
https://doi.org/10.1093/geront/gnx063View
Published (Version of record) Open Access

Abstract

Individual stressors of depressive symptoms in old age are well identified, yet little is known about the neighborhood stressors of depressive symptoms. Guided by the ecological extension of the Pearlin's Stress Process Model, this study explores the rural and urban differences in neighborhood stressors of depressive symptoms among older adults in China. Data came from two waves of the China Health and Retirement Longitudinal Study, a nationally representative survey. The study included 6,548 older adults ages 60 and above in 2011, with follow-up in 2013. Predictors (individual and neighborhood characteristics) were drawn from the 2011 baseline, and outcome, depressive symptoms, was extracted from the 2013 wave. Multilevel modeling results showed that after controlling for depressive symptoms at the baseline, symptoms decreased in neighborhoods where physical environment and social environment were better. Among rural respondents, neighborhood stressors stemmed mainly from the physical environment, whereas among urban residents, the stressors came from the social environment. This study demonstrated and discussed the role that neighborhoods may play in reducing depressive symptoms in later life. Community organizers and policy makers are encouraged to ameliorate community environments to improve mental health among older adults in China.
Aged Aging - psychology China - epidemiology Depression - epidemiology Depression - etiology Depression - prevention & control Female Humans Longitudinal Studies Male Mental Health - statistics & numerical data Middle Aged Residence Characteristics - statistics & numerical data Retirement - psychology Retirement - statistics & numerical data Risk Factors Rural Population - statistics & numerical data Social Environment Social Support Urban Population - statistics & numerical data

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