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Information Overload, Wellbeing and COVID-19: A Survey in China.

Jialin FanAndrew Paul Smith
Published in: Behavioral sciences (Basel, Switzerland) (2021)
(1) Psychology must play an important role in the prevention and management of the COVID-19 pandemic. The aim of the present study was to examine associations between the perceptions of information overload and wellbeing in China during the initial phase of COVID-19. (2) Methods: The present research involved a cross-sectional online survey, which controlled for established predictors of wellbeing and the perception of general (not COVID-19-specific) information overload. The setting of the research was China, February 2020. A total of 1349 participants completed an online survey, and the results from 1240 members of the general public who stated that they were uninfected are reported here (55.6% female; 49.4% single; age distribution: 17-25 years: 26%; 26-30 years: 24.3%; 31-40 years: 23.9%; 41-50 years: 16.2%; 51 years+: 9.6%; the most frequent occupations were: 21.5% students; 19.5% teachers; 25.9% office workers; 10.8% managers, plus a few in a wide range of jobs). The outcomes were positive wellbeing (positive affect and life satisfaction) and negative wellbeing (stress, negative affect, anxiety and depression). (3) Results: Regressions were carried out, controlling for established predictors of wellbeing (psychological capital, general information overload, positive and negative coping). Spending time getting information about COVID-19 was associated with more positive wellbeing. In contrast, perceptions of COVID-19 information overload and feeling panic due to COVID-19 were associated with more negative wellbeing. (4) Conclusions: These results have implications for the communication of information about COVID-19 to the general public and form the basis for further research on the topic.
Keyphrases
  • coronavirus disease
  • sars cov
  • health information
  • healthcare
  • magnetic resonance
  • magnetic resonance imaging
  • cross sectional
  • adipose tissue
  • physical activity
  • computed tomography
  • metabolic syndrome
  • insulin resistance