Tung Esther S, Brown Timothy A
Boston University.
Clin Psychol Sci. 2020 May 1;8(3):477-490. doi: 10.1177/2167702620901536. Epub 2020 Apr 28.
Using a factor mixture model (FMM) approach, this study examined if SAD could be subtyped by distinct risk profiles, and whether these subtypes predicted different manifestations of the disorder. We derived risk profiles from neurotic temperament (NT), positive temperament (PT), and autonomic arousability (AA), which are hypothesized to be important in the maintenance of anxiety disorders such as SAD. In our sample of 758 SAD outpatients, a two-class FMM solution fit the data best. Class 1 was characterized by very low PT whereas PT in Class 2 was substantially higher. The two classes differed to a lesser extent on NT, but were virtually equivalent on AA. Class 1 had significantly more males, individuals with depressive disorders, generalized SAD, and higher SAD severity. Class 2 had more individuals with performance subtype SAD. These findings provide initial support for distinct risk profiles within SAD that may be predictive of its clinical expression.
本研究采用因子混合模型（FMM）方法，检验社交焦虑障碍（SAD）是否可根据不同的风险特征进行亚型划分，以及这些亚型是否预示着该障碍的不同表现。我们从神经质气质（NT）、积极气质（PT）和自主唤醒性（AA）中得出风险特征，据推测这些因素在诸如社交焦虑障碍等焦虑症的维持中起着重要作用。在我们758名社交焦虑障碍门诊患者的样本中，两类因子混合模型的解决方案最适合该数据。第1类的特征是PT非常低，而第2类的PT则显著更高。这两类在NT上的差异较小，但在AA上几乎相当。第1类中有更多的男性、患有抑郁症的个体、广泛性社交焦虑障碍患者以及社交焦虑障碍严重程度更高的个体。第2类中有更多表演型社交焦虑障碍患者。这些发现为社交焦虑障碍中不同的风险特征提供了初步支持，这些特征可能预示着其临床症状表现。
