Madole James W, Rhemtulla Mijke, Grotzinger Andrew D, Tucker-Drob Elliot M, Harden Paige K
The University of Texas at Austin.
Department of Psychology, The University of Texas at Austin, SEA 3.314, 108 E Dean Keeton Street, Austin, TX 78712-1043, United States.
Clin Psychol Sci. 2019 Jul;7(4):701-718. doi: 10.1177/2167702619842466. Epub 2019 May 6.
Comorbidity is pervasive across psychopathological symptoms, diagnoses, and domains. Network analysis is a method for investigating symptom-level associations that underlie comorbidity, particularly through connecting diagnostic syndromes. We applied network analyses of comorbidity to data from a population-based sample of adolescents ( = 849). We implemented a method for assessing nonparametric moderation of psychopathology networks to evaluate differences in network structure across levels of intelligence and emotional control. Symptoms generally clustered by clinical diagnoses, but specific between-cluster bridge connections emerged. Internalizing symptoms demonstrated unique connections with aggression symptoms of interpersonal irritability, whereas externalizing symptoms showed more diffuse interconnections. Aggression symptoms identified as bridge nodes in the cross-sectional network were enriched for longitudinal associations with internalizing symptoms. Cross-domain connections did not significantly vary across intelligence but were weaker at lower emotional control. Our findings highlight transdiagnostic symptom relationships that may underlie co-occurrence of clinical diagnoses or higher-order factors of psychopathology.
共病现象在心理病理症状、诊断及领域中普遍存在。网络分析是一种用于探究共病现象背后症状层面关联的方法，特别是通过连接诊断综合征来实现。我们将共病的网络分析应用于来自青少年人群样本（N = 849）的数据。我们实施了一种评估心理病理网络非参数调节的方法，以评估不同智力和情绪控制水平下网络结构的差异。症状通常按临床诊断聚类，但出现了特定的簇间桥接连接。内化症状与人际易怒的攻击症状表现出独特的联系，而外化症状则显示出更广泛的相互联系。在横断面网络中被确定为桥接节点的攻击症状，在与内化症状的纵向关联方面更为丰富。跨领域连接在不同智力水平上没有显著差异，但在情绪控制较低时较弱。我们的研究结果突出了可能是临床诊断共现或心理病理学高阶因素基础的跨诊断症状关系。
