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共患重性抑郁障碍和社交恐惧症青少年的症状网络连通性。

Symptom network connectivity in adolescents with comorbid major depressive disorder and social phobia.

机构信息

Centre for Biomedical Research in Mental Health (CIBERSAM). Universidad Autónoma de Madrid, Spain.

Department of Psychology, University of Roehampton, Whitelands College, Holybourne Avenue, London SW15 4JD, UK.

出版信息

J Affect Disord. 2019 Aug 1;255:60-68. doi: 10.1016/j.jad.2019.05.015. Epub 2019 May 9.

Abstract

PURPOSE

Major depressive disorder (MDD) and social phobia (SP) are both common and highly co-occurring psychiatric disorders. This study used symptom network analysis approach to examine comorbidity structure and the complex symptom dynamics which may play a role in the co-occurrence of MDD and SP.

METHOD

Data comes from the National Comorbidity Survey - Adolescent Supplement, a nationally representative survey of adolescents ages 13 to 18 years. This study examined data of adolescents with a lifetime diagnosis of MDD (n = 597), SP (n = 708), and adolescents with comorbid MDD and SP (n = 189). Networks were estimated by means of 26 symptoms from both disorders.

RESULTS

All MDD and SP symptoms were involved in the network of both pure disorders (MDD; SP) and comorbid condition (MDD + SP). Network structure was different between the pure disorders (p = 0.014), but not when comparing each of these disorders that have comorbid condition. Depressive symptoms of poor self-esteem and suicidal symptoms were central (i.e., showed a higher influence) in the symptom network for the pure disorders and for the comorbid condition. Other key symptoms in the comorbid condition network were two depressive symptoms: feelings of worthlessness and anhedonia. SP and MDD networks showed two common key SP symptoms: feeling uncomfortable when meeting new people and feeling uncomfortable talking to people do not know well.

CONCLUSION

The study of symptom dynamics will provide useful targets for preventing the development of comorbid disorders as well as new lines of intervention to deal with key symptoms of psychiatric disorders.

摘要

目的

重度抑郁症(MDD)和社交恐惧症(SP)都是常见的、高度共患的精神障碍。本研究采用症状网络分析方法,考察了 MDD 和 SP 共病的结构和复杂症状动态,这些可能在 MDD 和 SP 的共病中发挥作用。

方法

数据来自全国共病调查-青少年补充调查,这是一项针对 13 至 18 岁青少年的全国代表性调查。本研究检查了一生中患有 MDD(n=597)、SP(n=708)和共病 MDD 和 SP(n=189)的青少年的数据。网络通过来自两种疾病的 26 种症状进行估计。

结果

所有 MDD 和 SP 症状均参与了纯障碍(MDD;SP)和共病状态(MDD+SP)的网络。网络结构在纯障碍之间存在差异(p=0.014),但在比较每种具有共病状态的障碍时则没有差异。自尊低落和自杀症状等抑郁症状在纯障碍和共病状态的症状网络中处于中心位置(即具有更高的影响力)。共病状态网络中的其他关键症状是两种抑郁症状:无价值感和快感缺失。SP 和 MDD 网络显示了两个共同的关键 SP 症状:与不熟悉的人见面时感到不适和与不熟悉的人交谈时感到不适。

结论

症状动态的研究将为预防共病障碍的发展以及处理精神障碍关键症状提供有用的目标,并为新的干预措施提供思路。

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