基于潜在剖面分析的老年人抑郁分型及相关因素

目的:利用潜在剖面分析辨别老年人抑郁亚型,并分析抑郁亚型相关因素。方法:在社区选取8526名老年人,使用Zung抑郁自评量表(SDS)、健康促进生活方式量表(HPLP-C)、社会支持评定量表(SSRS)调查抑郁状况、行为方式和社会支持。利用潜在剖面分析对抑郁进行分型,采用回归混合模型(R3STEP)分析各类别的预测因子。结果:老年人抑郁可分为"抑郁低风险型"(C1,35.6%)、"高抑郁-稳定型"(C2,33.3%)及"低抑郁-不稳定型"(C3,31.1%)。以C1为参照,自我实现(OR=0.85、0.84)、健康责任(OR=1.25、1.12)、营养(OR=0.79、0.90)、SSRS得分(OR=0.95、0.97)、≥80岁(OR=1.36、1.33)、中等教育及以下(OR=0.71、0.81)是C2和C3的共性预测因子。结论:本研究提示,老年人抑郁存在不同的特征群体,应重点关注"低抑郁-不稳定型"老年人。

A latent profile analysis of depression and related factors among the elderly

Objective:To evaluate the association between depressive subtypes(based on latent profile analy­sis)and related factors.Methods:Data from 8526 elderly persons who participated in the health study in Shanxi,China were used.The depression symptoms,behaviors and social support of the elderly were investigated with the Self-rating Depression Scale(SDS),Heal-Promoting Lifestyle Profile(HPLP-C)and Social Support Rating Scale(SSRS).Latent profile analysis was used to classified depression symptoms and regression mixture modeling(R3STEP)was used to analyze their predictors of the elderly.Results:Classes of depression in the elderly were characterized using"low risk group"(C1,35.6%),"high depression-stable group"(C2,33.3%),and"low depression-unstable group"(C3,31.1%).Self-actualization(OR=0.85,0.84),health responsibility(OR=1.25,1.12),nutrition(OR=0.79,0.90),SSRS score(OR=0.95,0.97),80 years old and above(OR=1.36,1.33),and secondary education(OR=0.71,0.81)were common predictors of the C2 and C3.Conclusion:The depression of the elderly may be considered to 3 subtypes,according to the characteristics and related factors of different sub­types,targeted interventions should be carried out,and"low depression-unstable group"should be focused on.