ArticleFrontiers in public health2025
Health inequalities for China's low-income population: trends, subgroup differences, and influencing factors, 2010-2022.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- From digital access to social connectedness: the digital divide, bonding social capital, and depressive symptoms among older adults in China.Frontiers in psychiatry · 2026Article
- Factors influencing the decision to opt out of basic medical insurance among China's migrant population: a logistic regression analysis.Frontiers in public health · 2026Article
- Measuring and decomposing inequalities in intrinsic capacity among older adults in china: from an urban-rural divide perspective.Aging clinical and experimental research · 2025Article
- The complex relationship between the digital divide, social capital, and mental health among older adults: a multi-method path decomposition.Frontiers in psychology · 2025Article
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3 authors.
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Abstract
Objective: Health inequality is a global challenge, with low-income populations often facing higher health risks. This study aims to systematically analyze the current status, trends, and influencing factors of health inequalities for China's low-income population. Methods: Utilizing panel data from the China Family Panel Studies (CFPS) from 2010 to 2022, the low-income population was identified using a threshold of 67% of median income. Health inequalities were measured across four dimensions: self-rated health, mental health, two-week health, and chronic diseases status, using the Erreygers Index (EI) and Wagstaff Index (WI). Recentered Influence Function (RIF) regression and RIF-Oaxaca decomposition were employed to examine influencing factors of health inequalities and sources of disparities across urban-rural, gender, and age dimensions. Results: From 2010 to 2022, the degree of health inequality was significantly higher for the low-income group compared to the middle and high-income groups in China. Inequalities in self-rated health and chronic diseases status showed an increasing trend for the low-income population. Per capita household income (PCHI) was a key factor, exhibiting a significant negative impact on inequalities in self-rated health and mental health ( Conclusion: Health inequalities for the low-income population in China are becoming increasingly severe, particularly pronounced among older adult and rural groups. The study recommends implementing interventions across multiple dimensions, including income support, healthcare accessibility, and family care support, while adopting differentiated policies tailored to the characteristics of various groups. Particular attention should be given to intersectionally disadvantaged groups such as low-income older adult individuals in rural areas.
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