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10.1002/cpp.2477

http://scihub22266oqcxt.onion/10.1002/cpp.2477
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32415733!7276761!32415733
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suck abstract from ncbi


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pmid32415733      Clin+Psychol+Psychother 2020 ; 27 (3): 384-395
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  • Posttraumatic stress symptoms of health care workers during the corona virus disease 2019 #MMPMID32415733
  • Yin Q; Sun Z; Liu T; Ni X; Deng X; Jia Y; Shang Z; Zhou Y; Liu W
  • Clin Psychol Psychother 2020[May]; 27 (3): 384-395 PMID32415733show ga
  • Corona virus disease 2019 (COVID-19) outbreak has attracted worldwide attention. The COVID-19 outbreak is unique in its rapid transmission and results in heavy stress for the front-line health care workers (HCWs). The current study aimed to exam posttraumatic stress symptoms (PTSSs) of HCWs fighting for the COVID-19 and to evaluate their sleep quality after 1-month stressful suffering. Three hundred seventy-seven HCWs working in different provinces of China participated in the survey between February 1 and 5. The demographic information was collected first. Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) and the Pittsburgh Sleep Quality Index (PSQI) were selected to measure PTSSs and sleep quality. Results showed that 1 month after the outbreak, the prevalence of PTSSs was 3.8% in HCWs. Female HCWs were more vulnerable to PTSSs with hazard ratio of 2.136 (95% CI = 1.388-3.286). HCWs with higher exposure level also significantly rated more hyperarousal symptoms (hazard ratio = 4.026, 95% CI = 1.233-13.140). There was a significant difference of sleep quality between participants with and without PTSSs (z value = 6.014, p < .001) and among different groups with various contact frequencies (chi-square = 7.307, p = .026). Path analysis showed that there was a significant indirect effect from exposure level to PTSSs through sleep quality (coefficient = 1.750, 95% CI of Boostroop test = 0.543-2.998). In summary, targeted interventions on sleep contribute to the mental recovery during the outbreak of COVID-19. Understanding the mental health response after a public health emergency might help HCWs and communities prepare for a population's response to disaster.
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*psychology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Health Personnel/*psychology/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*psychology[MESH]
  • |SARS-CoV-2[MESH]
  • |Stress Disorders, Post-Traumatic/*epidemiology/*prevention & control[MESH]


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