Evidence map›Paper›PMID 41270116›Full record

ArticlePloS one2025

Unlocking intergenerational support: The impact of long-term care insurance on elderly family dynamics.

Yi Qu, Yumeng Li, Anning Yin, Jia Li

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yi QuSchool of Public Administration, Dongbei University of Finance & Economics, Dalian, China.
Yumeng LiSchool of Public Administration, Dongbei University of Finance & Economics, Dalian, China.
Anning YinSchool of Public Administration, Dongbei University of Finance & Economics, Dalian, China.
Jia LiSchool of Public Administration, Dongbei University of Finance & Economics, Dalian, China.ORCID https://orcid.org/0009-0009-7009-0412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As China faces an aging population and changing family dynamics, including smaller nuclear families and increased mobility, it is crucial to understand how long-term care insurance policies affect intergenerational support for older adults. This study investigates the impact of these policies on economic, caregiving, and emotional support for individuals aged 60 and above. Using multi-period difference-in-differences models and unbalanced panel data from the CHARLS database (2011-2020), the analysis focuses on 66 Chinese pilot cities implementing long-term care insurance policies, emphasizing urban households and healthier elderly groups. The findings show that long-term care insurance policies significantly reduce children's financial and caregiving burdens while strengthening emotional bonds between older parents and their children. These effects are stronger in urban areas and among healthier elderly populations, indicating that household context and health status influence policy benefits. The results highlight the role of these policies in easing intergenerational pressures amid demographic shifts and provide evidence to improve policy design. By revealing differences in policy effectiveness across family types, this study offers theoretical insights for developing targeted eldercare strategies. It supports government efforts to tackle aging-related challenges and promote sustainable family support systems. The research underscores the need for flexible policies that respond to evolving societal needs and ensure equitable care for China's elderly.

Indexed as

Insurance, Long-Term CareIntergenerational RelationsAgedAged, 80 and overCaregiversChinaFamily CharacteristicsFemaleHumansMaleMiddle AgedSocial Support

Identifiers

PMID41270116
PMCPMC12637977

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.