ArticleInternational journal of environmental research and public health2020
Spatial Variability of Health Inequalities of Older People in China and Related Health Factors.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A study on the equilibrium of older adult care service resources and demand in Guangzhou.Frontiers in public health · 2026Article
- Spatial-temporal variations of stroke mortality worldwide from 2000 to 2021.BMC public health · 2025Article
- Healthcare inequities in Chinese megacities: the older adult population's accessibility to public hospitals in suburban Shanghai.Frontiers in public health · 2025Article
- Spatial-Temporal Patterns of Population Aging in Rural China.International journal of environmental research and public health · 2022Article
- The Temporal and Spatial Changes of Health Inequality in Rural China.Frontiers in public health · 2022Article
- The Effects of Residential Built Environment on Supporting Physical Activity Diversity in High-Density Cities: A Case Study in Shenzhen, China.International journal of environmental research and public health · 2021Article
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Authors and funding
3 authors.
Funding
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Abstract
China is facing serious population aging issues because of many unintended consequences of the economic reforms that began in the 1980s and with social policies such as the "one child" policy. Understanding the spatial distribution of the health status of older people has attracted more and more attention in many countries, including China. By employing descriptive analysis, this study uses data from the Chinese Population Censusand Statistical Year Bookto explore the health inequalities of older people at the national level. Based on the Getis-Ord Gi*, this study finds that the uneven spatial distribution of socio-economic status results in health inequalities for older people at the national level. The geographic distribution of life expectancy was correlated with a number of important demographic, socio-economic, and environmental variables. For further research, investigations should be conducted among individuals at micro-geographic scales.
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Registered trials
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