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10.3390/ijerph18010255

http://scihub22266oqcxt.onion/10.3390/ijerph18010255
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33396363!7795888!33396363
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suck abstract from ncbi


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pmid33396363      Int+J+Environ+Res+Public+Health 2020 ; 18 (1): ä
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  • Reduced Hedonic Tone and Emotion Dysregulation Predict Depressive Symptoms Severity during the COVID-19 Outbreak: An Observational Study on the Italian General Population #MMPMID33396363
  • Moccia L; Janiri D; Giuseppin G; Agrifoglio B; Monti L; Mazza M; Caroppo E; Fiorillo A; Sani G; Di Nicola M; Janiri L
  • Int J Environ Res Public Health 2020[Dec]; 18 (1): ä PMID33396363show ga
  • The COVID-19 pandemic has spiked stress-related symptoms worldwide. This study aims to assess depressive symptoms related to the early phase of the COVID-19 outbreak among the Italian general population and to analyze anhedonia and emotion dysregulation as potential predictors of depression severity. Through an online questionnaire, we collected sociodemographic and lockdown-related information; depressive symptoms, hedonic tone, and emotion dysregulation were assessed through the Beck Depression Inventory II, the Snaith-Hamilton Pleasure Scale, and the Difficulties in Emotion Regulation Scale, respectively. In our sample (n = 500), 122 individuals (24.4%) reported depressive symptoms during the COVID-19 outbreak. Individuals with and without depression differed in gender (X(2) = 4.77, df = 1, p = 0.02) and age (X(2) = 15.7, df = 4, p = 0.003). Among individuals presenting with depressive symptoms, those reporting close contact with confirmed cases of COVID-19 were at higher risk for severe depression (p = 0.026). Reduced hedonic tone (p = 0.014) and emotion dysregulation (p < 0.001) also predicted depression severity. To the best of our knowledge, these are among the earliest data that focus on the risk for depression among a sizeable sample of the Italian general population during the COVID-19 outbreak. Our results indicate emotion dysregulation and reduced hedonic tone as potential factors predicting COVID-19-related depression severity and provide insight into developing targeted intervention policies.
  • |*Depression/epidemiology[MESH]
  • |*Pandemics[MESH]
  • |Anhedonia[MESH]
  • |COVID-19/*psychology[MESH]
  • |Humans[MESH]
  • |Italy/epidemiology[MESH]
  • |Psychological Distress[MESH]


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