ArticleFrontiers in public health2025
Latent profile analysis of depression in older adults spouse caregivers.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Symptoms of anxiety and depression in informal caregivers of persons with dementia: a latent profile analysis and computer-simulated network analysis.BMC geriatrics · 2026Article
- Development and internal validation of a risk prediction model for oral frailty in hospitalized older adults with chronic diseases.Frontiers in public health · 2026Article
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Authors and funding
2 authors.
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Abstract
Objective: With advancing age, older adults are more likely to experience health problems and a decline in functioning, necessitating long-term care. Spouses play a crucial role in providing care for the older adults. Depression is a significant mental health issue faced by older adult's spouses. Categorizing depression into homogeneous subgroups can unveil hidden insights. Methods: This study utilized the Harmonized CHARLS dataset to investigate. Latent Profile Analysis (LPA) was employed to identify subgroups of older adult's spouses who experience depression, and chi-square tests were conducted for univariate analysis. Furthermore, multiple logistic regression was utilized to analyze the associated factors. Results: Spouse caregivers were identified and classified as Low Level Depression (50.6%), High Level Depression (20.0%), and Unstable Affective Depression (29.4%). Gender, education level, self-assessment of health, communication with children, social participation, life satisfaction, and place of residence were found to be influential factors for depression among older adults spouse caregivers. Multiple logistic regression analysis indicated that, compared to individuals with low levels of depression, those with high levels were significantly associated with gender, education level, self-assessed health status, social engagement, life satisfaction, and place of residence. Similarly, compared to individuals with low levels of depression, those classified as having an unstable affective type were significantly associated with gender, education level, self-assessed health status, and life satisfaction. Furthermore, compared to individuals with high levels of depression, those with unstable affective depression were significantly associated with gender, self-assessed health status, weekly interactions with children, and participation in social activities. Conclusion: This study revealed distinct subtypes of depression among older adults spousal caregivers, emphasizing the importance of targeted interventions in primary care. Tailored intervention strategies addressing the specific characteristics of each subtype may improve caregivers' mental health and enhance their quality of life.
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