Network analysis of depression and anxiety symptom relationships in a psychiatric sample

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...

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Bibliographic Details
Published in:	Psychological medicine Vol. 46; no. 16; p. 3359
Main Authors:	Beard, C, Millner, A J, Forgeard, M J C, Fried, E I, Hsu, K J, Treadway, M T, Leonard, C V, Kertz, S J, Björgvinsson, T
Format:	Journal Article
Language:	English
Published:	England 01-12-2016
Subjects:	Adult Anxiety - psychology Anxiety Disorders - psychology Bipolar Disorder - psychology Day Care, Medical Depression - psychology Depressive Disorder, Major - psychology Female Humans Male Middle Aged Mood Disorders - psychology Obsessive-Compulsive Disorder - psychology Psychotic Disorders - psychology Schizophrenic Psychology Young Adult Anxiety causal systems network analysis co-morbidity depression
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Summary:	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 relationships. 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. 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.
ISSN:	1469-8978
DOI:	10.1017/S0033291716002300