Network analysis of depression and anxiety symptom relationships in a psychiatric sample.
Network analysis of depression and anxiety symptom relationships in a psychiatric sample.
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DOI：
10.1017/s0033291716002300
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发表时间：
2016-12
影响因子：
6.9
通讯作者：
Björgvinsson T
中科院分区：
文献类型：
--
作者：
Beard C;Millner AJ;Forgeard MJ;Fried EI;Hsu KJ;Treadway MT;Leonard CV;Kertz SJ;Björgvinsson T
研究人员从共同原因的角度对心理障碍进行了广泛的研究，其中症状被视为潜在疾病的独立指标。相反，因果系统的观点试图理解个体症状和症状间关系的重要性。在本研究中，我们从因果系统的角度，使用网络分析来检验抑郁和焦虑症状之间的关系。我们使用了来自部分医院项目（N = 1029，平均治疗时间= 8天）入院和出院时的大量精神病学样本的数据。我们研究了抑郁/焦虑网络的特征，包括拓扑结构、网络中心性、网络在入院和出院时的稳定性以及网络在治疗过程中的变化。结果显示，抑郁和焦虑的个体症状与每一种障碍内的其他症状的相关性大于与障碍之间的症状的相关性。悲伤情绪和担忧是网络中最主要的症状。网络结构在入院时和入院与出院之间都是稳定的，尽管症状关系的总体强度随着治疗过程中症状严重程度的降低而增加。将抑郁和焦虑症状作为动态系统进行检查，可能会为这些心理健康问题的维持提供新的见解。
Researchers have studied psychological disorders extensively from a common cause perspective, in which symptoms are treated as independent indicators of an underlying disease. In contrast, the causal systems perspective seeks to understand the importance of individual symptoms and symptom-to-symptom relations. In the current study, we used network analysis to examine the relationships between and among depression and anxiety symptoms from the causal systems perspective. We utilized data from a large psychiatric sample at admission and discharge from a partial hospital program (N = 1029, mean treatment duration = 8 days). We investigated features of the depression/anxiety network including topology, network centrality, stability of the network at admission and discharge as well as change in the network over the course of treatment. Results revealed that individual symptoms of depression and anxiety were more related to other symptoms within each disorder than to symptoms between disorders. Sad mood and worry were among the most central symptoms in the network. The network structure was stable both at admission and between admission and discharge, although the overall strength of symptom relationships increased as symptom severity decreased over the course of treatment. Examining depression and anxiety symptoms as dynamic systems may provide novel insights into the maintenance of these mental health problems.