Evidence map›Paper›PMID 41857632›Full record

ArticleArchives of public health = Archives belges de sante publique2026

Multidimensional health poverty among diabetic adults in China: evidence from the China Kadoorie Biobank.

Yanyan Tan, Mengyuan Zhou, Yuwei Bai, Feng Chang, Yun Lu, Yumei Zhu

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yanyan Tan *School of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu, China.
Mengyuan Zhou *School of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu, China.
Yuwei BaiSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu, China.
Feng ChangSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu, China.
Yun LuSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu, China. luyuncpu@163.com.
Yumei ZhuSchool of International Pharmaceutical Business, China Pharmaceutical University, No. 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu, China. zhuyumei0803@126.com.

Funding

Key Laboratory of Health Technology Assessment of the National Health and Wellness Commission the 2023-2024 Open FundNational Natural Science Foundation of China 72004231
6 · The paper itself

Abstract

backgroundDespite the rising burden of diabetes in low- and middle-income countries, conventional economic metrics often fail to capture the multidimensional nature of health deprivation. This study aims to bridge this gap by assessing multidimensional health poverty among Chinese adults with diabetes using a survival-anchored multidimensional framework.

methodsThis study used data from 19,236 adults with diabetes enrolled in the China Kadoorie Biobank. Individual 5-year survival probabilities were estimated using stratified Cox proportional hazards models. Subsequently, we constructed Multidimensional Health Poverty Indices using the Alkire-Foster dual-cutoff method, integrating three dimensions: subjective health, objective health, and healthcare access capability. Scenario analyses were further employed to provide illustrative simulations of behavioral interventions on poverty reduction.

resultsThe overall adjusted headcount ratio (M0) of multidimensional health poverty was 26.92%. We observed significant demographic and socioeconomic gradients, with poverty intensity being most pronounced among older women, rural residents, and individuals with lower socioeconomic status. According to the decomposition results, reducing deprivation in healthcare access capability may warrant prioritization for lower socioeconomic strata, while counterfactual scenarios revealed that behavioral interventions were associated with larger simulated reductions for higher socioeconomic strata.

conclusionDiabetic adults in China face substantial multidimensional health poverty, driven principally by survival risks and structural barriers to healthcare. The divergence in intervention outcomes suggests that achieving health equity requires a targeted strategy, prioritizing financial protection mechanisms for vulnerable populations while promoting lifestyle modifications among higher socioeconomic groups.

Indexed as

DiabetesHealth equityMultidimensional health povertySocioeconomic disparitiesSurvival inequality

Identifiers

PMID41857632
PMCPMC13122949

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.