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10.1016/j.ypmed.2020.106385

http://scihub22266oqcxt.onion/10.1016/j.ypmed.2020.106385
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33359017!7774485!33359017
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suck abstract from ncbi


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pmid33359017      Prev+Med 2021 ; 143 (ä): 106385
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  • Factors influencing social distancing to prevent the community spread of COVID-19 among Chinese adults #MMPMID33359017
  • Guo Y; Qin W; Wang Z; Yang F
  • Prev Med 2021[Feb]; 143 (ä): 106385 PMID33359017show ga
  • The global outbreak of the coronavirus disease 2019 (COVID-19) in 2020 has been an international public health threat. Early strong social distancing efforts is needed to stop transmission of the virus. The purpose of the present study is to identify individual and environmental factors related to individuals' compliance with the recommended social distancing, as well as the moderating role of social media in influencing individuals' implementation of social distancing. A total of 2130 Chinese adults were surveyed in March 2020 during the COVID-19 pandemic. Logistic regression analyses were performed to ascertain the predictors of social distancing. Overall, the majority of respondents (95.6%) reported compliance with social distancing. Women were more likely to practice social distancing compared to men (odds ratio [OR] = 3.12, 95% confidence interval [CI] = 1.93-5.02). Psychological distress, depressive symptoms, and social media were significant predictors of social distancing after controlling for other individual and environmental factors. Social media moderated the effects of psychological distress on social distancing (OR = 0.96, 95% CI = 0.94-0.99). Findings from the study indicates that mental health status and social media are influential factors of social distancing, which have significant implications in enhancing the effectiveness of prevention strategies to contain the spread of COVID-19.
  • |*Physical Distancing[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Asian People/*psychology/statistics & numerical data[MESH]
  • |COVID-19/*epidemiology/*prevention & control[MESH]
  • |China/epidemiology[MESH]
  • |Disease Outbreaks/*prevention & control/statistics & numerical data[MESH]
  • |Disease Transmission, Infectious/*prevention & control/statistics & numerical data[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Pandemics/*prevention & control/statistics & numerical data[MESH]
  • |SARS-CoV-2[MESH]
  • |Surveys and Questionnaires[MESH]


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