基于组基轨迹建模的中国老年人抑郁症状发展轨迹研究

目的 识别中国老年人抑郁症状的不同发展轨迹及其影响因素.方法 使用2011年、2013年、2015年、2018年的中国健康与养老追踪调查数据,利用组基轨迹模型识别5 585名≥60岁老年人的抑郁症状发展轨迹,运用多分类lo-gistic 回归分析抑郁轨迹发展轨迹的影响因素.结果 识别出"无抑郁症状组"(58.58％)、...

Trajectories of depressive symptoms in Chinese older adults: based on group-based trajectory model

Objective To examine the trajectory of depressive symptoms over time and to identify depressive symptom profiles that predict different trajectories and analyze the factors influencing different trajectories. Methods Using data from 2011, 2013, 2015, and 2018 China Health and Retirement Longitudinal Study, a group-based trajectory model was used to identify trajectories of depressive symptoms in 5 585 older adults over 60 years old, and multi-class logistic regression was used to analyze the factors influencing the depressive symptom trajectories. Results Four trajectories of depressive symptoms in older adults were identified: “stable low-depressed” (58.58%), “remitting depressive symptoms” (15.02%), “emerging depressive symptoms” (17.45%), and “persisting depressive symptoms” (8.95%). Using the stable low-depressed group as a reference, multi-class logistic regression analysis revealed that gender (male, RRR=0.571, 95%CI: 0.476-0.684), marital status (with spouse, RRR=0.738, 95%CI: 0.612-0.889), educational level (junior high school, RRR=0.631, 95%CI: 0.485-0.822; high school, RRR=0.573, 95%CI: 0.361-0.910; university and above, RRR=0.331, 95%CI: 0.131-0.836), and household registration (agricultural household, RRR=1.934, 95%CI: 1.514-2.470) influenced the older adults’ likelihood of being in the remitting depressive symptoms group; gender (male, RRR=0.573, 95%CI: 0.480-0.685), education level (junior high school, RRR=0.534, 95%CI: 0.408-0.699; high school, RRR=0.635, 95%CI: 0.419-0.962; university and above, RRR=0.429, 95%CI: 0.202-0.908), household registration (agricultural household, RRR=1.618, 95%CI: 1.285-2.038) influenced the likelihood of older adults being in the emerging depressive symptoms group; gender (male, RRR=0.339, 95%CI: 0.265-0.433), marital status (having a spouse, RRR=0.689, 95%CI: 0.549-0.864), educational attainment (junior high school, RRR=0.534, 95%CI: 0.360-0.791; senior high school, RRR=0.371, 95%CI: 0.159-0.865), and household registration (agricultural household, RRR=2.824, 95%CI: 1.969-4.052) influenced the likelihood of older adults being in the persisting depressive symptoms group. Conclusion There is heterogeneity in the trajectories of depressive symptoms in older adults in China. In the study and prevention of depressive symptoms in older adults, attention needs to be paid to the characteristics of the trajectories of different subgroups.