PMC:7795888 / 14282-15796 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7795888","sourcedb":"PMC","sourceid":"7795888","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7795888","text":"3. Results\nA total of 500 individuals were included in the study. One hundred and twenty-two individuals (24.4%) reported relevant depressive symptoms during the COVID-19 outbreak. Individuals with and without depression differed in gender (χ2 = 4.77, df = 1, p = 0.02) and age (χ2 = 15.7, df = 4, p = 0.003). Specifically, among individuals displaying depressive symptoms, most participants were female (n = 83, 68%) and were aged 18–27 (n = 39, 32%). Subjects presenting with depressive symptoms reported reduced hedonic tone (F = 36, df = 1, p \u003c 0.001) and higher levels of emotion dysregulation (F = 161, df = 1, p \u003c 0.001). The two groups did not differ for medical variables and information on lockdown conditions, including lifetime history of chronic diseases, family history of psychiatric disorders, living alone, change in working activities, working on the frontline, and having had close contact with confirmed cases of COVID-19 (Table 1).\nAmong subjects with depressive features, those reporting close contacts with confirmed cases of COVID-19were at higher risk for severe depression. Reduced hedonic tone and emotional dysregulation also specifically predicted depression severity (Table 2). There was no significance of multicollinearity in the model, as indicated by the fact that the VIF of all variables of interest was \u003c2. Regression lines of estimated marginal means depicting the relationship between depression and anhedonia, adjusted for emotional dysregulation, are reported in Figure 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