Selected article for: "health status and logistic regression"

Author: Feng, Lin-Sen; Dong, Zheng-Jiao; Wu, Xiao-Qian; Zhang, Li; Yan, Ruo-Yu; Ma, Jun; Zeng, Yong
Title: COVID-19-related post-traumatic growth in the general public: a cross-sectional study from Yunnan, China
  • Cord-id: 5mqqhysa
  • Document date: 2021_1_1
  • ID: 5mqqhysa
    Snippet: To investigate post-traumatic growth induced by COVID-19 pandemic in certain Yunnan residents and to analyze its influencing factors. A total of 581 permanent residents of Yunnan province completed the electronic questionnaire from 18 April 2020 to 26 April 2020. Logistic regression analysis showed that the educational levels, self-perceived health status, family history of infectious diseases, family history of infectious diseases, personality and frequency of going through COVID-19 related new
    Document: To investigate post-traumatic growth induced by COVID-19 pandemic in certain Yunnan residents and to analyze its influencing factors. A total of 581 permanent residents of Yunnan province completed the electronic questionnaire from 18 April 2020 to 26 April 2020. Logistic regression analysis showed that the educational levels, self-perceived health status, family history of infectious diseases, family history of infectious diseases, personality and frequency of going through COVID-19 related news were influencing factors of PTG (P < 0.05). As a traumatic event, the threat of COVID-19 may enable some people to gain positive psychological development in adversity. This will provide reference for public psychological crisis intervention following the COVID-19 pandemic.

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