Department of Psychiatry, Michigan State University, 909 Fee Rd. A322, East Lansing, MI, USA.
Departments of Psychiatry and Statistics, Michigan State University, East Lansing, MI, USA.
AIDS Behav. 2019 Dec;23(12):3411-3418. doi: 10.1007/s10461-019-02465-0.
The aim was to identify latent class trajectories of depression symptoms among HIV+ women in Uganda. Depression was assessed at four time points using the Hopkins Symptom Checklist among 288 women caring for a child 2-5 years old. Mixture modeling was used to estimate the number and nature of classes defined by trajectories of depressive symptoms over time. Maternal and child characteristics were explored as predictors of class. Three trajectories of symptoms of depression were identified; (1) stable-low, (2) moderate-subclinical, and (3) chronic-high. About 8% of women reported moderately or highly elevated symptoms at the first assessment and consistently onward (i.e. chronically). Higher anxiety levels, less social support, more functionality problems, and more executive behavior problems in children predicted membership in the moderate-subclinical and chronic-high classes. Identifying patterns of depression trajectories can help target intervention efforts for women who are likely to experience the most chronic and impairing symptomatology.
目的是确定乌干达 HIV+ 女性的抑郁症状潜在类别轨迹。在 288 名照顾 2-5 岁儿童的女性中,使用 Hopkins 症状清单在四个时间点评估抑郁情况。混合模型用于估计通过随时间变化的抑郁症状轨迹定义的类别的数量和性质。探讨了母婴特征作为类别预测因素。确定了三种抑郁症状轨迹:(1)稳定-低,(2)中度-亚临床,和(3)慢性-高。约 8%的女性在第一次评估时报告了中度或高度升高的症状,并一直持续(即慢性)。较高的焦虑水平、较少的社会支持、更多的功能问题和儿童更多的执行行为问题预测了中度亚临床和慢性高类别。确定抑郁轨迹的模式可以帮助针对那些最有可能经历最慢性和最具损伤性症状的女性进行干预。