A Latent Class Analysis of Resilience and Its Relationship With Care Burden and Psychological Distress in Family Caregivers of Older Adults With Disability

Given the challenging circumstances of aging with disability, family caregivers (FGs) face significant strain. Resilience, however, is a crucial protective factor against adverse caregiving outcomes. The study thus aimed to determine the latent classes of resilience among FGs and examine how these classes are related to care burden and psychological distress. This was a cross-sectional descriptive study that included 248 FGs in China. Latent class analysis was conducted to determine the classes of resilience exhibited by FGs. The study revealed four distinct classes of resilience: the high resilience class, high tenacity but moderate strength-optimism class, moderate resilience but low autonomy class, and low resilience class. FGs with secondary caregivers and those who were older were more likely to be part of the high resilience class. Furthermore, caregivers in the high resilience class had significantly lower burdens, less psychological distress, and greater resilience. Therefore, family caregivers' resilience can be classified according to characteristics; more attention should be given to caregivers who are younger and lack the support of secondary caregivers; and targeted interventions should be developed based on resilience classification characteristics.

Authors

Institutions

Publication Details

Journal
Nursing and Health Sciences
Published
2025-03-01
DOI
https://doi.org/10.1111/nhs.70069
Citations
2
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
4.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Latent Class Analysis of Resilience and Its Relationship With Care Burden and Psychological Distress in Family Caregivers of Older Adults With Disability

Anni Wang, Ting Lou, Jingjing Huang, Shihong Guo et al.
2 citations
Nursing and Health Sciences
Resilience and Mental Health
4.61
article

A Latent Class Analysis of Resilience and Its Relationship With Care Burden and Psychological Distress in Family Caregivers of Older Adults With Disability

Anni Wang, Ting Lou, Jingjing Huang, Shihong Guo, Xiaoling Bai, Zhigang Xu, Yutian Niu
article en
2 citations

Abstract

Given the challenging circumstances of aging with disability, family caregivers (FGs) face significant strain. Resilience, however, is a crucial protective factor against adverse caregiving outcomes. The study thus aimed to determine the latent classes of resilience among FGs and examine how these classes are related to care burden and psychological distress. This was a cross-sectional descriptive study that included 248 FGs in China. Latent class analysis was conducted to determine the classes of resilience exhibited by FGs. The study revealed four distinct classes of resilience: the high resilience class, high tenacity but moderate strength-optimism class, moderate resilience but low autonomy class, and low resilience class. FGs with secondary caregivers and those who were older were more likely to be part of the high resilience class. Furthermore, caregivers in the high resilience class had significantly lower burdens, less psychological distress, and greater resilience. Therefore, family caregivers' resilience can be classified according to characteristics; more attention should be given to caregivers who are younger and lack the support of secondary caregivers; and targeted interventions should be developed based on resilience classification characteristics.

Nursing and Health SciencesVol. 27(1)
Guiyang Medical University (CN), University of Washington (US), Fudan University (CN), Shanghai Children's Medical Center (CN), Guizhou Cancer Hospital (CN), Guizhou Provincial People's Hospital (CN)
Science and Technology Program of Guizhou Province
Openalex Percentile: Top 8%
Resilience and Mental Health
4.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.