Spatial–temporal evolution and associated factors of older adult care institutions in Shanghai

Bibliographic Data

ID22079653
AuthorsXingxing Yin (0000-0002-0173-5354, East China Normal University, corresponding author), Jinghang Cui (0009-0007-4905-7461, Western Kentucky University), Yu-Tzu Wu (0009-0004-7541-9436, University of Wisconsin–Madison), Yifan Wu (0000-0002-0715-4163), M Cui (0000-0002-3669-3473, Vanderbilt University), Kun Li (0000-0001-5862-1959, Ningxia Water Conservancy), Haoxiang Guo (University of Rochester)
Year2025
Volume13
Pages1598394-1598394
Publication date2025-07-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1598394
PMID40678644
OpenAlexW4411947838
LanguageEN
Citations received3
References cited17

Background: Shanghai is one of the first Chinese cities to tackle the challenges presented by an aging population. In response, the city has been actively seeking solutions for older adult care within a metropolitan context. This study is based on data from 1,272 older adult care institutions in Shanghai. It uses spatial analysis methods to visually display the spatial evolution of older adult care institutions in the city and analyzes the influencing factors of their spatial distribution patterns using a geographic detector approach. Methods: The research methodology used in the study includes Kernel Density Estimation for visualizing the spatial distribution of older adult care institutions in Shanghai, the Rand Index for measuring the match between older adult care institutions and the older adult population, and Geographically Weighted Regression for addressing spatial heterogeneity by providing local estimates for regression coefficients at different geographical locations. Results: The number of older adult care institutions in Shanghai has seen significant growth over the past 20 years, increasing fourfold due to the rise in both public and private facilities. Older adult care institutions in Shanghai exhibit clear spatial clustering features, evolving from a central cluster to a pattern of one major center surrounded by multiple secondary centers. The distribution of older adult care institutions and the aging population shows a positive trend, with the matching degree constantly increasing. The mean deviation index (M) decreased from 0.015 in 2005 to 0.011 in 2020. However, resources for older adult care institutions in central urban areas remain relatively scarce, particularly in Xuhui, Jing'an, and Putuo districts. Factors influencing the distribution of older adult care institutions show spatial heterogeneity, with varying correlations with residential, recreational, commercial, transportation-related, and healthcare facilities. Conclusion: The findings suggest that Shanghai has made progress in expanding older adult care resources to meet the needs of its aging population. However, there are still disparities in the distribution of these facilities, particularly in central urban areas. Understanding the spatial patterns and factors influencing the location of older adult care institutions can guide future planning efforts to ensure equitable access to care for the older adults in Shanghai

Geography · Metropolitan area · Population · Sociology · Computer Science · Demography · Geriatric Care and Nursing Homes · Intergenerational Family Dynamics and Caregiving · Medicine · Migration, Aging, and Tourism Studies · Gerontology

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