4.5 Article

Network analysis of the association between Dark Triad traits and depression symptoms in university students

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.paid.2023.112495

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Dark triad traits; Depression; Network analysis; Bridge centrality

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University students often experience symptoms of depression. The Dark Triad traits, including Machiavellianism, psychopathy, and narcissism, are associated with depression. A network analysis revealed significant positive correlations between these traits and specific depression symptoms. Psychopathy emerged as a central influence in the network, suggesting that targeting this trait may be effective in mitigating depression.
University students frequently experience symptoms of depression. The Dark Triad (DT) traits, which include Machiavellianism, psychopathy, and narcissism, represent the darker aspects of personality and have been linked to depression. Although connections between these traits and depression are recognized, the specific processes linking traits to symptoms remain unclear. In our study with 1287 participants, we measured DT traits and depression using the 12-item Dirty Dozen and the Patient Health Questionnaire-9, respectively. A network analysis was conducted to dissect the differential relationships between individual DT traits and various depression symptoms, as well as to pinpoint influential nodes through bridge expected influence. The analysis revealed significant positive correlations: Machiavellianism with feelings of worthlessness, narcissism with depressed or sad mood, and both Machiavellianism and psychopathy with thoughts of death. Notably, psychopathy emerged as a central influence in the network, suggesting that interventions targeting this trait may be effective in mitigating depression. These findings not only contribute to the current literature by clarifying distinct pathways but also advocate for the implementation of brief reappraisal interventions tailored for university students displaying DT traits, especially in the context of global health emergencies.

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