Comorbidity among depression, anxiety and stress symptoms in naturalistic clinical samples: A cross‐cultural network analysis

Author:

Mihić Ljiljana1ORCID,Janičić Bojan1ORCID,Marchetti Igor2ORCID,Novović Zdenka1,Sica Claudio3,Bottesi Gioia4,Belopavlović Radomir1,Jakšić Nenad5

Affiliation:

1. Department of Psychology, Faculty of Philosophy University of Novi Sad Novi Sad Serbia

2. Department of Life Sciences University of Trieste Trieste Italy

3. Department of Health Sciences University of Florence Florence Italy

4. Department of General Psychology University of Padova Padova Italy

5. Department of Psychiatry and Psychological Medicine University Hospital Centre Zagreb Zagreb Croatia

Abstract

AbstractComorbidity between depression and anxiety is well‐established across various settings and cultures. We approached comorbidity from the network psychopathology perspective and examined the depression, anxiety/autonomic arousal and stress/tension symptoms in naturalistic clinical samples from Serbia, Italy and Croatia. This was a multisite study in which regularized partial correlation networks of the symptoms, obtained via self‐reports on the Depression Anxiety and Stress Scales‐21 (DASS‐21) in three cross‐cultural, clinical samples (total N = 874), were compared with respect to centrality, edge weights, community structure and bridge centrality. A moderate degree of similarity in a number of network indices across the three networks was observed. While negative mood emerged to be the most central node, stress/tension nodes were the most likely bridge symptoms between depressive and anxiety/autonomic arousal symptoms. We demonstrated that the network structure and features in mixed clinical samples were similar across three different languages and cultures. The symptoms such as agitation, restlessness and inability to relax functioned as bridges across the three symptom communities explored in this study. Important theoretical and clinical implications were derived.

Publisher

Wiley

Subject

Clinical Psychology

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