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Latent profile analysis of depression in older adults spouse caregivers

配偶 萧条(经济学) 逻辑回归 住所 老年学 社会支持 生活满意度 医学 心理健康 心理学 临床心理学 精神科 人口学 社会学 心理治疗师 经济 宏观经济学 内科学 人类学
作者
Fuzhe Feng,Yalong Huang
出处
期刊:Frontiers in Public Health [Frontiers Media]
卷期号:13: 1450720-1450720 被引量:2
标识
DOI:10.3389/fpubh.2025.1450720
摘要

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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