University of Pittsburgh, Pittsburgh, PA, USA.
J Affect Disord. 2013 Jun;148(2-3):391-9. doi: 10.1016/j.jad.2012.06.028. Epub 2012 Sep 8.
Depressive symptoms display heterogeneous trajectories across adolescence and early adulthood. Identifying risk and protective factors for distinct trajectory groups, and their respective outcomes, may provide insight into the etiological underpinnings of different symptom courses and inform the targets and timing of intervention.
A school-based sample of 719 adolescents completed four diagnostic evaluations and up to 7 annually mailed questionnaires assessing psychiatric symptoms and psychosocial risk and protective factors. Parental history of psychiatric disorder was assessed. Growth mixture modeling (GMM) was used to identify latent depressive symptom trajectories from mid-adolescence through age 30, as well as their predictors in mid-adolescence and adult outcomes.
A three class model consisting of high stable (32%), moderate decreasing (44%), and low decreasing (24%) depressive symptom trajectories emerged as the preferred solution. Demographic, psychosocial, and psychiatric characteristics differentiated the low and high symptom classes, and provided support for interpersonal models of depression chronicity. Members of the moderate and high symptom classes evidenced the worst psychosocial and psychiatric outcomes by age 30, with members of the high symptom class showing the greatest levels of impairment.
Cross-sectional measurement and floor effects of several predictor variables may have obscured the relations between those predictors and trajectory class membership.
These findings suggest that prevention and intervention strategies may specifically target young women and those who experience poor interpersonal functioning in an effort to alter the course of depressive symptoms through early adulthood.
抑郁症状在青少年和成年早期表现出异质轨迹。确定不同轨迹组的风险和保护因素及其各自的结果,可能有助于深入了解不同症状过程的病因基础,并为干预的目标和时机提供信息。
一项基于学校的 719 名青少年样本完成了四次诊断评估和多达 7 次每年邮寄的问卷,评估精神症状和心理社会风险和保护因素。评估了父母精神病史。使用增长混合模型(GMM)从青少年中期到 30 岁识别潜在的抑郁症状轨迹,以及青少年中期和成年结果的预测因素。
一个由高稳定(32%)、中降低(44%)和低降低(24%)抑郁症状轨迹组成的三类别模型作为首选解决方案出现。人口统计学、心理社会和精神科特征区分了低和高症状类别,并为抑郁持续性的人际模型提供了支持。中度和高度症状类别的成员在 30 岁时表现出最糟糕的心理社会和精神科结果,高度症状类别的成员表现出最大的损害程度。
几个预测变量的横断面测量和下限效应可能掩盖了这些预测变量与轨迹类别成员之间的关系。
这些发现表明,预防和干预策略可能专门针对年轻女性和那些经历不良人际功能的人,努力通过成年早期改变抑郁症状的进程。