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Exploring the Association between Neighborhood Blue Space and Self-Rated Health among Elderly Adults: Evidence from Guangzhou, China

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Listed:
  • Yujie Chen

    (School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Yuan Yuan

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
    Guangdong Key Laboratory for Urbanization and Geo-Simulation, Guangzhou 510006, China)

  • Yuquan Zhou

    (Department of Urban Planning and Spatial Analysis, Sol Price School of Public Policy, University of Southern California, Los Angeles, CA 90089, USA)

Abstract

Blue spaces is associated with self-rated health (SRH), but little is known about the pathways underlying this association among Chinese urban elderly individuals. Based on neighborhood effect theory, this study examined the relationship between neighborhood blue spaces and SRH among elderly individuals using data from a questionnaire survey conducted in Guangzhou, remote sensing images, street views, and environmental information in the context of a Chinese megacity. In addition, multilevel linear model and mediating effect model empirical analyses were performed. Results showed that first, the SRH of the elderly was associated with individual- and neighborhood-level factors. Second, the multilevel mediation model revealed that multiple biopsychosocial pathways existed between neighborhood blue spaces and the SRH of the elderly, specifically, the blue space characteristics related to the SRH of the elderly via the mediating effect of stress. Third, owing to demographic characteristics and socioeconomic status, the stratified analyses also indicated a strong association between neighborhood blue spaces and SRH outcomes in the older and low-income groups. The mediating effect of stress in the age and income groups was also observed, and the mediation pathways and group differences were confirmed in the context of Chinese cities. This research enriches the empirical literature on blue spaces and elderly health from a multidisciplinary perspective and suggests the need for “healthy neighborhood” and “health-aging” planning in Chinese settings.

Suggested Citation

  • Yujie Chen & Yuan Yuan & Yuquan Zhou, 2022. "Exploring the Association between Neighborhood Blue Space and Self-Rated Health among Elderly Adults: Evidence from Guangzhou, China," IJERPH, MDPI, vol. 19(23), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16342-:d:994898
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    References listed on IDEAS

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    1. Dempsey, Seraphim & Devine, Mel T. & Gillespie, Tom & Lyons, Seán & Nolan, Anne, 2018. "Coastal blue space and depression in older adults," Papers RB201826, Economic and Social Research Institute (ESRI).
    2. Bin Liang & Guilin Han & Man Liu & Kunhua Yang & Xiaoqiang Li & Jinke Liu, 2018. "Distribution, Sources, and Water Quality Assessment of Dissolved Heavy Metals in the Jiulongjiang River Water, Southeast China," IJERPH, MDPI, vol. 15(12), pages 1-14, December.
    3. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    4. Elliott, Lewis R. & White, Mathew P. & Taylor, Adrian H. & Herbert, Stephen, 2015. "Energy expenditure on recreational visits to different natural environments," Social Science & Medicine, Elsevier, vol. 139(C), pages 53-60.
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