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. 2016 Dec;46(16):3359-3369.
doi: 10.1017/S0033291716002300. Epub 2016 Sep 14.

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

C Beard  1 , A J Millner  1 , M J C Forgeard  1 , E I Fried  2 , K J Hsu  1 , M T Treadway  1 , C V Leonard  3 , S J Kertz  4 , T Björgvinsson  1
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Network analysis of depression and anxiety symptom relationships in a psychiatric sample

C Beard et al. Psychol Med. 2016 Dec.

Abstract

Background: 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.

Method: 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: 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.

Conclusions: Examining depression and anxiety symptoms as dynamic systems may provide novel insights into the maintenance of these mental health problems.

Keywords: Anxiety; causal systems; co-morbidity; depression; network analysis.

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References

    1. Alvaro PK, Roberts RM, Harris JK. A systematic review assessing bidirectionality between sleep disturbances, anxiety, and depression. Sleep. 2013;36(7):1059–1068. - PMC - PubMed
    1. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5. Washington, DC: 2013.
    1. Andrews G, Slade T, Issakidis C. Deconstructing current comorbidity: data from the Australian National Survey of Mental Health and Well-Being. British Journal of Psychiatry. 2002;181(4):304–314. - PubMed
    1. Avenevoli S, Stolar M, Li J, Dierker L, Ries Merikangas K. Comorbidity of depression in children and adolescents: models and evidence from a prospective high-risk family study. Biol Psychiatry. 2001;49(12):1071–81. - PubMed
    1. Baglioni C, Battagliese G, Feige B, Spiegelhalder K, Nissen C, Voderholzer U, … Riemann D. Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies. Journal of affective disorders. 2011;135(1):10–19. - PubMed

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