School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, PR China.
School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, PR China.
Geriatr Nurs. 2024 Sep-Oct;59:67-76. doi: 10.1016/j.gerinurse.2024.06.047. Epub 2024 Jul 10.
To explore the latent profile of depression in older adults raising grandchildren in China, and to analyze the differences in the characteristics of the different profiles of the population and the factors influencing them.
This study utilized the 2018 China Health and Retirement Longitudinal Study (CHARLS). Through a cross-sectional study, the latent profile analysis was used to analyze the potential classification of depression among older adults raising grandchildren, and using ordered multi-categorical logistic regression analyses to assess the effects of each factor on their different classifications.
The 1271 older adults raising grandchildren with depression symptoms were divided into three categories: low-level depression (55.4%), moderate-level depression (31.2%), and high-level depression (13.4%). Ordered multi-categorical Logistic results showed: Gender, marital status, pension insurance, physical health status, life satisfaction, and IADL were predictors of latent profile classification of depression symptoms in older adults raising grandchildren (P < 0.05).
In the future of primary care, it will be more meaningful to provide targeted interventions for different subgroups of depression in older adults raising grandchildren.
探讨中国老年群体在抚养孙辈时的抑郁潜在特征，并分析不同人群特征及其影响因素的差异。
本研究利用了 2018 年中国健康与养老追踪调查（CHARLS）数据。通过横断面研究，采用潜在剖面分析方法对抚养孙辈的老年人群中抑郁的潜在分类进行分析，并采用有序多分类逻辑回归分析评估每个因素对其不同分类的影响。
1271 名有抑郁症状的抚养孙辈的老年人被分为三个类别：轻度抑郁（55.4%）、中度抑郁（31.2%）和重度抑郁（13.4%）。有序多分类逻辑回归结果表明：性别、婚姻状况、养老金保险、身体健康状况、生活满意度和 IADL 是抚养孙辈的老年人抑郁症状潜在分类的预测因素（P<0.05）。
在未来的基层医疗中，为抚养孙辈的老年人中的不同抑郁亚组提供有针对性的干预措施将更有意义。
