Evidence map›Paper›PMID 42722022›Full record

ArticleGeriatrics & gerontology international2026

Family Resilience and Family Adaptation in Caregivers of Disabled Older Adults: A Latent Profile Analysis.

Li Chen, Liu Yang, Jialin Wang, Ying Huang, Jiling Ye

Abstract read
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Article in Geriatrics & gerontology international, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Li ChenCollege of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0009-0006-2270-2689
Liu YangCollege of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jialin WangCollege of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0000-0002-5421-6179
Ying HuangCollege of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0009-0000-0575-5961
Jiling YePalliative Care Center, Chengdu Eighth People's Hospital (Geriatric Hospital of Chengdu Medical College), Chengdu, China.

Funding

Chengdu Philosophy and Social Science Planning Project 2024BS015
6 · The paper itself

Abstract

aimsThis study aimed to identify latent profiles of family resilience among primary family caregivers of disabled older adults, investigate factors associated with these profiles, and examine their cross-sectional associations with family adaptation.

designA cross-sectional design with latent profile analysis.

methodsWe recruited 328 pairs of disabled older adults and their primary family caregivers from communities in Chengdu between April and November 2025. Data were collected on demographic and clinical characteristics, social support, family resilience, family adaptation, and disability level. To identify distinct family resilience profiles, latent profile analysis was employed. Factors associated with profile membership were then examined using multinomial logistic regression, and differences in family adaptation across profiles were tested with the BCH method.

resultsThree distinct family resilience profiles emerged: Stress-Dysfunctional (25.29%), Adaptive-Buffering (46.38%), and Integrative-Growth (28.34%). Profile membership was associated with urban residence, higher income, milder caregiving disability, and stronger social support. Furthermore, higher levels of family resilience were positively associated with better family adaptation.

conclusionsThis study demonstrates that distinct family resilience profiles are significantly associated with family adaptation outcomes. Key factors such as urban residence, higher household income, caring for older adults with milder disability, and stronger social support play a crucial role in shaping these resilience profiles. IMPACT: These three resilience profiles may assist nurses in identifying families at varying risk levels and inform the development of tailored psychosocial interventions for families caring for disabled older adults, thereby improving family adaptation and reducing caregiver burden. PATIENT OR PUBLIC CONTRIBUTION: Disabled older adults and their primary family caregivers completed structured questionnaires as study subjects. They were not involved in study design, outcome measure selection, data analysis, or interpretation of findings.

Indexed as

Adaptation, PsychologicalCaregiversFamilyPersons with DisabilitiesResilience, PsychologicalAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocial Supportcaregiversdisabled older adultsfamily adaptationfamily resiliencelatent profile analysis

Identifiers

PMID42722022
PMCPMC13561583

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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.