Evidence map›Paper›PMID 38355428›Full record

ArticleBMC public health2024

Determinants of health poverty vulnerability in rural areas of Western China in the post-poverty relief era: an analysis based on the Anderson behavioral model.

Wenlong Wang, Kexin Chen, Wenwen Xiao, Jiancai Du, Hui Qiao

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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17citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wenlong Wang *School of Public Health, Ningxia Medical University, Yinchuan, China.
Kexin Chen *School of Public Health, Ningxia Medical University, Yinchuan, China.
Wenwen XiaoSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Jiancai DuSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Hui QiaoSchool of Public Health, Ningxia Medical University, Yinchuan, China. qiaohui71@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough China has eliminated absolute poverty, the effects of sickness still pose a threat to the prospect of returning to poverty in western rural areas. However, poverty governance extends beyond solving absolute poverty, and should enhance the family's ability to resist risks, proactively identify the existence of risks, and facilitate preventive measures to reduce the probability of falling into poverty again. This study aimed to assess the health poverty vulnerability of rural households in western China and decompose its determinants.

methodsBased on survey data from 2022, the three-stage feasible generalized least squares method was used to calculate the health poverty vulnerability index. Then, Anderson's health behavior theory model was extended to analyse various influencing factors using binary logistic regression, and the contribution of each influencing factor was decomposed using the Shapley index. Finally, Tobit regression and the censored least absolute deviations estimation (clad) method were used to test the model's robustness.

resultsA total of 5455 families in the rural Ningxia region of western China were included in the study. The health poverty vulnerability index of the sample population in 2022 was 0.3000 ± 0.2223, and families with vulnerability ≥0.5 accounted for 16.9% of the sample population. From the Anderson behavioral model, the three models including propensity, enabling, and demand factors had the best fit, and the AIC and BIC values were the smallest. The Shapley decomposition showed that the dimensions of the propensity factor, number of residents, age and educational level of the household head, and dependency ratio were the most important factors influencing vulnerability to health poverty. Tobit regression and the clad method proved the reliability of the constructed model through a robustness test.

conclusionRural areas still face the risk of becoming poor or falling into poverty owing to residents' health problems. Health poverty alleviation should gradually change from a focus on treatment to prevention, and formulate a set of accurate and efficient intervention policies from a forward-looking perspective to consolidate the results of health poverty alleviation and prevent widescale poverty return.

Indexed as

Family CharacteristicsPovertyChinaHumansReproducibility of ResultsRural PopulationSurveys and QuestionnairesAndersen’s behavioral modelChinaMultivariate logistic regression analysisShapley decompositionVulnerability to health poverty

Identifiers

PMID38355428
PMCPMC10865669

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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.