Comorbid anxiety and depression psychopathology in university students: a network approach

Abstract

Depression in university students is known to commonly co-occur with other mental disorders, especially anxiety. It is, however, not known how this comorbidity affects the psychopathology of depression in university students. Compared to commonly used methods, the clinical network approach provides a better framework for understanding comorbidity. Accordingly, regularized partial correlation network models were used in this study to (1) examine the severity structure of individual depressive symptoms by the level of comorbid anxiety, and (2) explore the gender differences among these symptoms in university students (N = 919; M_age = 21 years., SD = 2.99; 72% = Female). Anhedonia, hopelessness, worthlessness, self-blame, and loneliness were the most central symptoms of depression in this study. The Network Comparison Test revealed no statistically significant global structure and strength of the depressive symptom network by comorbid anxiety level and gender. Implications of the results and network framework with regard to developing alternative treatment options, and the optimization of clinical care and assessment of depression are discussed.

Keywords

Anxiety comorbidity depression network structure students

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