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• W2920365370 abstract "The mounting mental health issues faced by elderly urban residents increase the social and economic costs to society associated with dementia and depression. Therefore, it is necessary to identify the characteristics of elderly urban residents suffering from mental health issues, to address these issues more effectively. We used 2015 Community Health Survey data from the Korea Centers for Disease Control and Prevention to identify the demographic and social characteristics of 11,408 elderly urban residents in relation to stress levels and symptoms of depression in seven metropolitan areas in Korea, and to calculate the odds ratio for urban green space. We found that the prevalence of these mental health issues generally decreased in relation to the ratio of green space of an area. These findings suggest identifying elderly people who are vulnerable to certain mental health issues based on demographic and social characteristics and demonstrate that the ratio of urban green space within a community is an important component in improving mental health outcomes for elderly urban residents. These findings have policy implications for assisting elderly people vulnerable to certain mental health issues and for establishing a green welfare policy targeting this population." @default.
• W2920365370 created "2019-03-11" @default.
• W2920365370 creator A5076684255 @default.
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• W2920365370 date "2019-03-04" @default.
• W2920365370 modified "2023-10-13" @default.
• W2920365370 title "Do Sociodemographic Factors and Urban Green Space Affect Mental Health Outcomes Among the Urban Elderly Population?" @default.
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• W2920365370 doi "https://doi.org/10.3390/ijerph16050789" @default.
• W2920365370 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6427606" @default.
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