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10.1037/tra0000930

http://scihub22266oqcxt.onion/10.1037/tra0000930
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32551764!ä!32551764

suck abstract from ncbi


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pmid32551764      Psychol+Trauma 2020 ; 12 (S1): S6-S14
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  • The effect of the 2019 novel coronavirus pandemic on college students in Wuhan #MMPMID32551764
  • Yang D; Tu CC; Dai X
  • Psychol Trauma 2020[Aug]; 12 (S1): S6-S14 PMID32551764show ga
  • OBJECTIVE: This study explored a multiple mediation model in Wuhan's college students. Positive thinking and resilience were identified as mediators between 2019 novel coronavirus (2019-nCoV) victimization experiences and mental health. METHOD: The sample included 384 from 4 universities in Wuhan, China. Four structured instruments were applied to the college students, including scale of the 2019-nCoV coronavirus victimization experience, scale of the positive thinking, scale of the resilience, and scale of the mental health. The responses were scored using a 5-point Likert scale. Structural equation models were used to construct measurement and structural models. RESULTS: The findings confirmed that the 2019-nCoV victimization experience was a negative predictor of mental health; positive thinking and resilience were strong mediators between 2019-nCoV victimization experience and mental health. CONCLUSIONS: The results indicated that a complete model was significant because positive thinking compensated for resilience. Notably, these 2 strong mediators will vastly resist the negative influences of 2019-nCoV victimization experience on mental health in Wuhan's college students until the end of the pandemic. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
  • |*Resilience, Psychological[MESH]
  • |*Thinking[MESH]
  • |Adult[MESH]
  • |Behavioral Symptoms/*psychology[MESH]
  • |COVID-19[MESH]
  • |China[MESH]
  • |Coronavirus Infections/*psychology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Models, Psychological[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*psychology[MESH]
  • |Students/*psychology[MESH]
  • |Universities[MESH]


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