Literature DB >> 33925611

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

Jialin Fan1, Andrew P Smith2.   

Abstract

(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.

Entities:  

Keywords:  COVID-19; China; information overload; wellbeing

Year:  2021        PMID: 33925611     DOI: 10.3390/bs11050062

Source DB:  PubMed          Journal:  Behav Sci (Basel)        ISSN: 2076-328X


  30 in total

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2.  Occupational stress, job characteristics, coping, and the mental health of nurses.

Authors:  G Mark; A P Smith
Journal:  Br J Health Psychol       Date:  2011-09-14

3.  The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility.

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4.  Online Mental Health Survey in a Medical College in China During the COVID-19 Outbreak.

Authors:  Jia Liu; Qing Zhu; Wenliang Fan; Joyman Makamure; Chuansheng Zheng; Jing Wang
Journal:  Front Psychiatry       Date:  2020-05-13       Impact factor: 4.157

5.  Emotional distress in young adults during the COVID-19 pandemic: evidence of risk and resilience from a longitudinal cohort study.

Authors:  Lilly Shanahan; Annekatrin Steinhoff; Laura Bechtiger; Aja L Murray; Amy Nivette; Urs Hepp; Denis Ribeaud; Manuel Eisner
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6.  Diagnostic validity of the anxiety and depression questions from the Well-Being Process Questionnaire.

Authors:  Gary Williams; Andrew P Smith
Journal:  J Clin Transl Res       Date:  2018-06-29

7.  Misinformation of COVID-19 on the Internet: Infodemiology Study.

Authors:  Jose Yunam Cuan-Baltazar; Maria José Muñoz-Perez; Carolina Robledo-Vega; Maria Fernanda Pérez-Zepeda; Elena Soto-Vega
Journal:  JMIR Public Health Surveill       Date:  2020-04-09

Review 8.  Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science.

Authors:  Emily A Holmes; Rory C O'Connor; V Hugh Perry; Irene Tracey; Simon Wessely; Louise Arseneault; Clive Ballard; Helen Christensen; Roxane Cohen Silver; Ian Everall; Tamsin Ford; Ann John; Thomas Kabir; Kate King; Ira Madan; Susan Michie; Andrew K Przybylski; Roz Shafran; Angela Sweeney; Carol M Worthman; Lucy Yardley; Katherine Cowan; Claire Cope; Matthew Hotopf; Ed Bullmore
Journal:  Lancet Psychiatry       Date:  2020-04-15       Impact factor: 27.083

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  8 in total

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2.  Machine Learning-Based Prediction Models for Depression Symptoms Among Chinese Healthcare Workers During the Early COVID-19 Outbreak in 2020: A Cross-Sectional Study.

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3.  The relationship between information overload and state of anxiety in the period of regular epidemic prevention and control in China: a moderated multiple mediation model.

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4.  COVID-19 Information Overload, Negative Emotions and Posttraumatic Stress Disorder: A Cross-Sectional Study.

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5.  We shall endure: Exploring the impact of government information quality and partisanship on citizens' well-being during the COVID-19 pandemic.

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6.  Pathway linking health information behaviors to mental health condition during the COVID-19 infodemic: A moderated mediation analysis.

Authors:  Thomas Hongjie Zhang; Jen Sern Tham; Moniza Waheed; Jeong-Nam Kim; Jae-Seon Jeong; Peng Kee Chang; Abdul Mua'ti Zamri Ahmad
Journal:  Front Public Health       Date:  2022-08-29

7.  New Insights on the Mediating Role of Emotional Intelligence and Social Support on University Students' Mental Health during COVID-19 Pandemic: Gender Matters.

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8.  Stratified Impacts of the Infodemic During the COVID-19 Pandemic: Cross-sectional Survey in 6 Asian Jurisdictions.

Authors:  Xi Chen; Fen Lin; Edmund W Cheng
Journal:  J Med Internet Res       Date:  2022-03-22       Impact factor: 7.076

  8 in total

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