Evidence map›Paper›PMID 42919293›Full record

ArticleBMC public health2026

The protective paradox of intergenerational support: how Chinese families weather health crises.

Ye Li, Rui Chen, Yongqiang Lai, Fangqi Qu, Qianqian Ge, Xinyu Wang

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Article in BMC public health, 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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5 · Who and what money

Authors and funding

6 authors.

Ye Li *School of Public Administration, Hangzhou Normal University, Hangzhou, Zhejiang, China. liye8459@163.com.
Rui Chen *Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Yongqiang LaiCenter of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Fangqi QuCenter of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Qianqian GeSchool of Public Administration, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Xinyu WangSchool of Public Administration, Hangzhou Normal University, Hangzhou, Zhejiang, China.

Funding

the General Projects of the Zhejiang Province Soft Science Research Program 2026C35054the Hangzhou Normal University Research Project 4265C50224204063
6 · The paper itself

Abstract

objectiveBased on the framework of household utility maximization and health capital decision-making, this study proposes that parental intergenerational nurturing may influence catastrophic health expenditures through two competing mechanisms: first, the "squeeze effect," wherein intensive resource investment in children may increase parental economic vulnerability; second, the "reverse flow effect," wherein intergenerational reciprocity can stabilize household health security. Within this theoretical tension, this study examines whether parental intergenerational investment ultimately strains their own health resources or paradoxically provides protective effects.

methodUsing longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS), this study employs k-prototypes clustering to classify households into four intergenerational nurturing patterns. Panel modeling controls for intra-household correlations and individual heterogeneity over time. Causal mediation analysis and group heterogeneity tests evaluate the direct and indirect effects of parental intergenerational investment on catastrophic health expenditure (CHE) risk.

resultsContrary to the "squeeze effect" hypothesis, high-intensity, sustained parental support did not increase CHE risk but exhibited a buffering effect, particularly pronounced in urban households and those with higher educational attainment. Emotion-focused nurturing initially showed a slight risk increase without controlling variables, but this effect weakened after incorporating household and health characteristics, revealing the moral economy mechanism of self-sacrificial protection in Chinese families.

conclusionThis study uncovers a "protective paradox" in contemporary Chinese families: within a social context of limited resources and inadequate institutional safeguards, parents' high-intensity intergenerational investments do not exacerbate household health risks. Instead, through the emotional bonding and reciprocal reward mechanisms of family contracts, they function as implicit insurance. This paradox not only deepens our understanding of Chinese families' health-related economic behaviors but also offers a new theoretical perspective for re-examining the role of informal support systems in risk governance.

Indexed as

Health ExpendituresIntergenerational RelationsAgedChinaEast Asian PeopleFamily SupportFemaleHumansLongitudinal StudiesMaleMiddle AgedCatastrophic health expenditureIntergenerational nurturingProtective paradoxReturn flow mechanismSqueeze effect

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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.