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10.1016/j.ajp.2020.102111

http://scihub22266oqcxt.onion/10.1016/j.ajp.2020.102111
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32361388!7194661!32361388
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suck abstract from ncbi


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pmid32361388      Asian+J+Psychiatr 2020 ; 51 (ä): 102111
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  • A cross-sectional study on mental health among health care workers during the outbreak of Corona Virus Disease 2019 #MMPMID32361388
  • Cai W; Lian B; Song X; Hou T; Deng G; Li H
  • Asian J Psychiatr 2020[Jun]; 51 (ä): 102111 PMID32361388show ga
  • The spread of Corona Virus Disease 2019 (COVID-19) has become a global major public health event, threatening people's physical and mental health and even life safety. This study is to investigate the psychological abnormality in health care workers battling the COVID-19 epidemic and to explore the associations among social support, resilience and mental health. A total of 1521 health care workers, of whom 147 had public health emergency experience while 1374 showed no experience, completed the Symptom Check-List-90 (SCL-90), Chinese version of Connor-Davidson resilience scale (CD-RISC) and Social Support Rating Scale (SSRS). chi(2) test, t test and multiple regression analyses were used in statistical analysis. The results showed that people without public health emergency treatment experience showed worse performance in mental health, resilience and social support, and tended to suffer from psychological abnormality on interpersonal sensitivity and photic anxiety. This finding suggested that high levels of training and professional experience, resilience and social support were necessary to health care workers who are first taking part in public health emergence.
  • |*Professional Competence[MESH]
  • |*Resilience, Psychological[MESH]
  • |*Social Support[MESH]
  • |Adult[MESH]
  • |Behavioral Symptoms/*epidemiology[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*therapy[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Health Personnel/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]


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