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. 2024 Jun 8;14(1):13219.
doi: 10.1038/s41598-024-64070-z.

A study on the factors influencing the vulnerability of women of childbearing age to health poverty in rural western China

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A study on the factors influencing the vulnerability of women of childbearing age to health poverty in rural western China

Ximin Ma et al. Sci Rep. .

Abstract

The health of women of childbearing age in rural areas is crucial for the development of individuals, families, and society. Research on the identification and influencing factors of health vulnerability in impoverished and disadvantaged groups is important for adjusting and implementing health poverty alleviation policies. However, there is limited research on the health vulnerability of women of childbearing age in rural Western China. Based on panel data from the Rural Residents' Family Health Status Survey in 2019 and 2022, the vulnerability to health poverty of women of childbearing age in rural areas was constructed using the three-stage feasible generalized least squares method. Variables from four dimensions-physical capital, financial capital, social capital, and human capital-were included in the sustainable livelihood analysis framework for analysis. The Tobit model was used to analyze the influencing factors of vulnerability to health poverty among women of childbearing age in rural Western China, and the contribution rates of various factors were studied using the Shapley value decomposition method. In 2019 and 2022, under the poverty line standards of $1.90 and $2.15, respectively, the vulnerability to health poverty among rural women of childbearing age exceeded 20%. Tobit regression analysis revealed that the type of drinking water being well water significantly increased the vulnerability to health poverty of rural women of childbearing age (P < 0.05), whereas the separation of housing and kitchen, registered poor households, household loans, annual per capita household income, expenditures on social interactions, educational level, self-assessed health status, respondent age, and the utilization of hospital services significantly reduced the vulnerability to health poverty of rural women of childbearing age (P < 0.05). Shapley's decomposition shows that annual per capita household income, expenditures on social interactions, respondent age, and household loans are the factors contributing most to the vulnerability to health poverty of rural women of childbearing age, while other variables have a smaller contribution rate. The health poverty situation of women of childbearing age in rural Western China is not optimistic. Preintervention for health poverty should be strengthened among rural women of childbearing age, early warning mechanisms for the risk of falling back into poverty due to illness should be established, the precise identification of highly vulnerable rural women of childbearing age should be improved, and the medical insurance system for rural women of childbearing age should be enhanced to help improve their current health poverty situation.

Keywords: Health poverty; Panel data; Shapley decomposition; Vulnerability to health poverty; Women of childbearing age.

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Conflict of interest statement

The authors declare no competing interests.

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References

    1. Jeremy M, Vincenzo F. The role of social innovation in tackling global poverty and vulnerability. Front. Sociol. 2023;8:966918. doi: 10.3389/fsoc.2023.966918. - DOI - PMC - PubMed
    1. Qitao L. Determinants of financial poverty alleviation efficiency: Evidence from Henan China. PLOS ONE. 2022;17:e0277354. doi: 10.1371/journal.pone.0277354. - DOI - PMC - PubMed
    1. Chiara M, Dario S. The dynamics of poverty in Europe: what has changed after the great recession? J. Econ. Inequal. 2022;20:915. doi: 10.1007/s10888-022-09527-9. - DOI - PMC - PubMed
    1. Qi Z, Xiaoqun H, Zhong L, Wanchun X, Liang Z. The effects of poverty reduction policy on health services utilization among the rural poor: a quasi-experimental study in central and western rural China. Int. J. Equity Health. 2019;18:1–11. - PMC - PubMed
    1. Muyi H, et al. Evaluation of typical ecosystem services in Dabie Mountain area and its application in improving residents' well-being. Front. Plant Sci. 2023;14:1195644. doi: 10.3389/fpls.2023.1195644. - DOI - PMC - PubMed