Abstract：
OBJECTIVE: 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.
METHODS: 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.
RESULTS: 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).
CONCLUSIONS: 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.
METHODS: 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.
RESULTS: 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).
CONCLUSIONS: 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.
摘要：
目的：探讨中国抚养孙子女的老年人抑郁症的潜在特征，并分析人群不同剖面特征的差异及其影响因素。
方法：本研究采用2018年中国健康与退休纵向研究（CHARLS）。通过横断面研究,潜在轮廓分析用于分析抚养孙辈的老年人中抑郁症的潜在分类，并使用有序的多分类逻辑回归分析来评估每个因素对其不同分类的影响。
结果：养育有抑郁症状的孙辈的1271名老年人分为三类：低水平抑郁症（55.4％），中度抑郁症（31.2%），和高度抑郁（13.4%）。有序多分类Logistic结果显示：性别，婚姻状况,养老保险,身体健康状况,生活满意度,IADL和IADL是抚养孙子女的老年人抑郁症状潜在分类的预测因子（P<0.05）。
结论：在未来的初级保健中，在抚养孙辈的老年人中,针对不同的抑郁亚组提供有针对性的干预措施将更有意义.
方法：本研究采用2018年中国健康与退休纵向研究（CHARLS）。通过横断面研究,潜在轮廓分析用于分析抚养孙辈的老年人中抑郁症的潜在分类，并使用有序的多分类逻辑回归分析来评估每个因素对其不同分类的影响。
结果：养育有抑郁症状的孙辈的1271名老年人分为三类：低水平抑郁症（55.4％），中度抑郁症（31.2%），和高度抑郁（13.4%）。有序多分类Logistic结果显示：性别，婚姻状况,养老保险,身体健康状况,生活满意度,IADL和IADL是抚养孙子女的老年人抑郁症状潜在分类的预测因子（P<0.05）。
结论：在未来的初级保健中，在抚养孙辈的老年人中,针对不同的抑郁亚组提供有针对性的干预措施将更有意义.
