Evidence map›Paper›PMID 38644418›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

Impact of caregiving on mental, self-rated, and physical health: evidence from the China health and retirement longitudinal study.

Qing Su, Lijun Fan

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. 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

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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.

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4 · The record

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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

2 authors.

Qing SuSchool of Public Health, Southeast University, No.87 Dingjiaqiao, Nanjing, 210009, China.
Lijun FanSchool of Public Health, Southeast University, No.87 Dingjiaqiao, Nanjing, 210009, China. fanlijun@seu.edu.cn.

Funding

National Social Science Foundation of China 23CGL072
6 · The paper itself

Abstract

objectivesGiven the escalating demand for care services, understanding the impact of informal caregiving, providing unpaid care for family members, on own health is essential. This study longitudinally analyzed the association of caregiving (and different caregiver types) with mental, physical, and self-rated health. Urban-rural, gender, and employment heterogeneity were further investigated.

methodBased on three-wave data (2011, 2013, and 2018) from the China Health and Retirement Longitudinal Study, we used growth curve models to assess the impact of informal caregiving (providing care to family members) and caregiver types (caregivers to grandchildren, parents, spouses, or multiple family members) on three health outcomes (depressive symptoms, self-rated health, and activities of daily living limitations).

resultsOur study included 13,377 individuals. Results showed a negative correlation of caregiving with mental, physical, and self-rated health. Compared to noncaregivers, spousal caregivers and multiple caregivers were both associated with worsening mental, self-rated, and physical health. In contrast, adult child caregivers were only negatively associated with mental health, and grandparent caregiving did not significantly affect any health outcomes. Further heterogeneity analysis showed that gender did not moderate the relationship between caregiving and health, whereas the negative association between caregiving and health was more pronounced among the rural population and those employed in agriculture. DISCUSSION: Findings from the present study suggest that caregiving is detrimental to health, and recommend considering caregiver type when examining caregiving and health. These findings have vital implications for policymakers in addressing the challenges of structuring and implementing a sustainable informal care system.

Indexed as

CaregiversHealth StatusMental HealthActivities of Daily LivingAgedChinaDepressionFamilyFemaleHumansLongitudinal StudiesMaleMiddle AgedQuality of LifeRetirementCaregiver typeChinaHealth outcomesInformal caregiving

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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.