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Do Sociodemographic Factors and Urban Green Space Affect Mental Health Outcomes Among the Urban Elderly Population?

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  • Hyun Jin Lee

    (Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul 08826, Korea)

  • Dong Kun Lee

    (Department of Landscape Architecture and Rural System Engineering, Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea)

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.

Suggested Citation

  • Hyun Jin Lee & Dong Kun Lee, 2019. "Do Sociodemographic Factors and Urban Green Space Affect Mental Health Outcomes Among the Urban Elderly Population?," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:789-:d:210849
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    References listed on IDEAS

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    Cited by:

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    3. Liu, Yang & Kwan, Mei-Po & Wong, Man Sing & Yu, Changda, 2023. "Current methods for evaluating people's exposure to green space: A scoping review," Social Science & Medicine, Elsevier, vol. 338(C).
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    5. Deepti Adlakha & Mina Chandra & Murali Krishna & Lee Smith & Mark A. Tully, 2021. "Designing Age-Friendly Communities: Exploring Qualitative Perspectives on Urban Green Spaces and Ageing in Two Indian Megacities," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    6. Rui Zhou & Ying-Jing Zheng & Jing-Yi Yun & Hong-Mei Wang, 2022. "The Effects of Urban Green Space on Depressive Symptoms of Mid-Aged and Elderly Urban Residents in China: Evidence from the China Health and Retirement Longitudinal Study," IJERPH, MDPI, vol. 19(2), pages 1-12, January.
    7. Amber L. Vermeesch & Alessandra Coro & Kira Mattes & Dylan Ostendorff & Erica Timko Olson & Layla Garrigues, 2022. "Nature-Based Feasibility Intervention to Influence Mitigation Strategies for Perceived Stress," IJERPH, MDPI, vol. 19(19), pages 1-11, September.
    8. Kaili Chen & Tianzheng Zhang & Fangyuan Liu & Yingjie Zhang & Yan Song, 2021. "How Does Urban Green Space Impact Residents’ Mental Health: A Literature Review of Mediators," IJERPH, MDPI, vol. 18(22), pages 1-27, November.
    9. Hyun Jin Lee & Dong Kun Lee & Wonkyong Song, 2019. "Relationships between Social Capital, Social Capital Satisfaction, Self-Esteem, and Depression among Elderly Urban Residents: Analysis of Secondary Survey Data," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    10. Xue Zhang & Suhong Zhou & Rongping Lin & Lingling Su, 2020. "Relationship between Long-Term Residential Green Exposure and Individuals’ Mental Health: Moderated by Income Differences and Residential Location in Urban China," IJERPH, MDPI, vol. 17(23), pages 1-21, December.
    11. Ling Qiu & Qujing Chen & Tian Gao, 2021. "The Effects of Urban Natural Environments on Preference and Self-Reported Psychological Restoration of the Elderly," IJERPH, MDPI, vol. 18(2), pages 1-14, January.

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