Department of Psychology, Whitelands College, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK.
Centre for Biomedical Research in Mental Health (CIBERSAM), Universidad Autónoma de Madrid, Spain.
Psychiatry Res. 2019 Aug;278:228-234. doi: 10.1016/j.psychres.2019.06.007. Epub 2019 Jun 6.
The aim of this study was to identify the number of comorbidity profiles among adolescents. Sociodemographic factors associated with the comorbidity profiles were also examined. Latent class analysis was conducted using data from the National Comorbidity Survey Adolescent Supplement (NCS-A), a representative sample of adolescents (N = 10,123) in the United States. Latent classes were derived from 26 lifetime mental disorders which were assessed using the World Health Organization Composite International Diagnostic Instrument (CIDI). A three-class solution provided the best fit for the data, with classes labelled as comorbid emotional disorders (Class I), comorbid behavioural disorders (Class II), and normative (Class III). Class I (15.62% of the participants) included adolescents with a high probability of having anxiety, depressive, and intermittent explosive disorder. Class II (6.97%) was characterised by adolescents with a high probability of having substance use, behavioural disorders, and major depression. Class III (77.41%) was characterised by adolescents with a low probability of having any mental disorders. Characterising comorbid profile of mental disorders using person-based approach yields a higher-order classification that could have important clinical implications.
本研究旨在确定青少年共病模式的数量,并探讨与共病模式相关的社会人口学因素。采用美国全国共病调查青少年附加调查(NCS-A)的数据,通过潜在类别分析对 26 种终生精神障碍进行了评估,该调查采用了世界卫生组织复合国际诊断工具(CIDI)。三类别解决方案为数据提供了最佳拟合,类别分别标记为共患情绪障碍(类别 I)、共患行为障碍(类别 II)和正常(类别 III)。类别 I(占参与者的 15.62%)包括患有焦虑、抑郁和间歇性爆发障碍的青少年。类别 II(6.97%)的特点是青少年有很高的可能性患有物质使用障碍、行为障碍和重度抑郁症。类别 III(77.41%)的特点是青少年患有任何精神障碍的可能性较低。使用基于个体的方法对精神障碍的共病模式进行特征描述,可以得到一种更高级别的分类,这可能具有重要的临床意义。