Category: Comorbidity - Anxiety and Other

PS15- #B63 - Longitudinal Network Stability of Anxiety and Depression

Sunday, Nov 19
9:00 AM – 10:00 AM
Location: Indigo Ballroom CDGH, Level 2, Indigo Level

Keywords: Adult Anxiety | Adult Depression | Longitudinal

Few studies have examined the temporal relationship between anxiety and depression. Available evidence suggests that comorbid presentations of anxiety and depression are relatively stable over time (Moffitt et al., 2007). The current study is the first to investigate the temporal stability of anxiety and depression from a network perspective. Specifically, the main objective of this study was to determine which network symptom cluster (i.e., anxiety or depression) would evidence greater node centrality across time. A clinical sample (n=1667) of individuals from Japan completed a battery of self-report instruments twice over a three-month time interval. In the current study, the Overall Depression Impairment and Severity Scale and the Overall Anxiety Impairment and Severity Scale were used to model depression and anxiety symptoms, respectively. For the Time 1 network, it was revealed that the node strength of depressive symptoms significantly differed from the node strength of anxiety symptoms (p < 0.05). This pattern of results was replicated for the Time 2 network, with the node strength of depressive symptoms being significantly greater than that of anxiety symptoms (p < 0.05). Furthermore, results of the network structure invariance test and the global strength invariance test revealed no significant differences across time in network strength (p’s> 0.05). Overall, the current study supports the notion that the network structure of anxiety and depression is relatively stable across time, and that the nodes of the depression network are more central than those of the anxiety network.

Joshua Curtiss

Graduate Student
University of Delaware
Boston, Massachusetts

Masaya Ito

National Center of Neurology and Psychiatry

Stefan G. Hofmann

Professor of Psychology
Boston University