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An Observational Study in Manipur State, India on Preventive Behavior Influenced by Social Media During the COVID-19 Pandemic Mediated by Cyberchondria and Information Overload

  • Received : 2020.09.21
  • Accepted : 2020.11.23
  • Published : 2021.01.31

Abstract

Objectives: The coronavirus disease 2019 (COVID-19) pandemic is a public health emergency posing unprecedented challenges for health authorities. Social media may serve as an effective platform to disseminate health-related information. This study aimed to assess the extent of social media use, its impact on preventive behavior, and negative health effects such as cyberchondria and information overload. Methods: A cross-sectional observational study was conducted between June 10, 2020 and August 9, 2020 among people visiting the outpatient department of the authors' institution, and participants were also recruited during field visits for an awareness drive. Questions were developed on preventive behavior, and the Short Cyberchondria Scale and instruments dealing with information overload and perceived vulnerability were used. Results: The study recruited 767 participants with a mean age of about 45 years. Most of the participants (>90%) engaged in preventive behaviors, which were influenced by the extent of information received through social media platforms (β=3.297; p<0.001) and awareness of infection when a family member tested positive (β=29.082; p<0.001) or a neighbor tested positive (β=27.964; p<0.001). The majority (63.0%) of individuals often searched for COVID-19 related news on social media platforms. The mean±standard deviation scores for cyberchondria and information overload were 9.09±4.05 and 8.69±2.56, respectively. Significant and moderately strong correlations were found between cyberchondria, information overload, and perceived vulnerability to COVID-19. Conclusions: This study provides evidence that the use of social media as an information- seeking platform altered preventive behavior. However, excessive and misleading information resulted in cyberchondria and information overload.

Keywords

References

  1. World Heath Organization. Coronavirus disease (COVID-19) pandemic [cited 2020 Sep 18]. Available from: https://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/novel-coronavirus-2019-ncov.
  2. World Health Organization. WHO coronavirus disease (COVID19) dashboard [cited 2020 Sep 18]. Available from: https://covid19.who.int/.
  3. Snyder LB, Rouse RA. The media can have more than an impersonal impact: the case of AIDS risk perceptions and behavior. Health Commun 1995;7(2):125-145. https://doi.org/10.1207/s15327027hc0702_3
  4. Sahni H, Sharma H. Role of social media during the COVID-19 pandemic: beneficial, destructive, or reconstructive? Int J Acad Med 2020;6(2):70-75.
  5. Hickok K. Husband and wife poison themselves trying to selfmedicate with chloroquine. Live Science; 2020 Mar 24 [cited 2020 Sep 18]. Available from: https://www.livescience.com/coronavirus-chloroquine-self-medication-kills-man.html.
  6. Lep Z, Babnik K, Hacin Beyazoglu K. Emotional responses and self-protective behavior within days of the COVID-19 outbreak: the promoting role of information credibility. Front Psychol 2020;11:1846. https://doi.org/10.3389/fpsyg.2020.01846
  7. Menon V, Kar SK, Tripathi A, Nebhinani N, Varadharajan N. Cyberchondria: conceptual relation with health anxiety, assessment, management and prevention. Asian J Psychiatr 2020; 53:102225. https://doi.org/10.1016/j.ajp.2020.102225
  8. Mathes BM, Norr AM, Allan NP, Albanese BJ, Schmidt NB. Cyberchondria: overlap with health anxiety and unique relations with impairment, quality of life, and service utilization. Psychiatry Res 2018;261:204-211. https://doi.org/10.1016/j.psychres.2018.01.002
  9. Beaudoin CE. Explaining the relationship between internet use and interpersonal trust: taking into account motivation and information overload. J Comput Mediat Commun 2008; 13(3):550-568. https://doi.org/10.1111/j.1083-6101.2008.00410.x
  10. Government of Karnataka. Detail question and answers on COVID-19 for public [cited 2020 Sep 17]. Available from: https://www.mohfw.gov.in/pdf/FAQ.pdf.
  11. Li S, Feng B, Liao W, Pan W. Internet use, risk awareness, and demographic characteristics associated with engagement in preventive behaviors and testing: cross-sectional survey on COVID-19 in the United States. J Med Internet Res 2020;22(6): e19782. https://doi.org/10.2196/19782
  12. Jokic-Begic N, Mikac U, Curzik D, Jokic CS. The development and validation of the short cyberchondria scale (SCS). J Psychopathol Behav Assess 2019;41(4):662-676. https://doi.org/10.1007/s10862-019-09744-z
  13. Karr-Wisniewski P, Lu Y. When more is too much: operationalizing technology overload and exploring its impact on knowledge worker productivity. Comput Human Behav 2010;26(5): 1061-1072. https://doi.org/10.1016/j.chb.2010.03.008
  14. Farooq A, Laato S, Islam AN. Impact of online information on self-isolation intention during the COVID-19 pandemic: cross-sectional study. J Med Internet Res 2020;22(5):e19128. https://doi.org/10.2196/19128
  15. Parmer J, Baur C, Eroglu D, Lubell K, Prue C, Reynolds B, et al. Crisis and emergency risk messaging in mass media news stories: is the public getting the information they need to protect their health? Health Commun 2016;31(10):1215-1222. https://doi.org/10.1080/10410236.2015.1049728
  16. Wurz A, Nurm ÜK, Ekdahl K. Enhancing the role of health communication in the prevention of infectious diseases. J Health Commun 2013;18(12):1566-1571. https://doi.org/10.1080/10810730.2013.840698
  17. Lin L, McCloud RF, Bigman CA, Viswanath K. Tuning in and catching on? Examining the relationship between pandemic communication and awareness and knowledge of MERS in the USA. J Public Health 2017;39(2):282-289.
  18. Psylla I, Sapiezynski P, Mones E, Lehmann S. The role of gender in social network organization. PLoS One 2017;12(12):e0189873. https://doi.org/10.1371/journal.pone.0189873
  19. Jang K, Baek YM. When information from public health officials is untrustworthy: the use of online news, interpersonal networks, and social media during the MERS outbreak in South Korea. Health Commun 2019;34(9):991-998. https://doi.org/10.1080/10410236.2018.1449552
  20. Dunlop S, Wakefield M, Kashima Y. Can you feel it? Negative emotion, risk, and narrative in health communication. Media Psychol 2008;11(1):52-75. https://doi.org/10.1080/15213260701853112
  21. Paek HJ, Oh SH, Hove T. How fear-arousing news messages affect risk perceptions and intention to talk about risk. Health Commun 2016;31(9):1051-1062. https://doi.org/10.1080/10410236.2015.1037419
  22. Ahmad AR, Murad HR. The impact of social media on panic during the COVID-19 pandemic in Iraqi Kurdistan: online questionnaire study. J Med Internet Res 2020;22(5):e19556. https://doi.org/10.2196/19556
  23. Cuan-Baltazar JY, Munoz-Perez MJ, Robledo-Vega C, Perez-Zepeda MF, Soto-Vega E. Misinformation of COVID-19 on the internet: infodemiology study. JMIR Public Health Surveill 2020;6(2):e18444. https://doi.org/10.2196/18444
  24. Tian Y, Robinson JD. Incidental health information use on the internet. Health Commun 2009;24(1):41-49. https://doi.org/10.1080/10410230802606984
  25. Wise T, Zbozinek TD, Michelini G, Hagan CC, Mobbs D. Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States. R Soc Open Sci 2020;7(9):200742. https://doi.org/10.1098/rsos.200742
  26. Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, et al. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci 2020;16(10):1745-1752. https://doi.org/10.7150/ijbs.45221
  27. Kwok KO, Li KK, Chan HH, Yi YY, Tang A, Wei WI, et al. Community responses during early phase of COVID-19 epidemic, Hong Kong. Emerg Infect Dis 2020;26(7):1575-1579. https://doi.org/10.3201/eid2607.200500
  28. Jungmann SM, Witthoft M. Health anxiety, cyberchondria, and coping in the current COVID-19 pandemic: which factors are related to coronavirus anxiety? J Anxiety Disord 2020;73:102239. https://doi.org/10.1016/j.janxdis.2020.102239
  29. Lerner JS, Keltner D. Beyond valence: toward a model of emotion-specific influences on judgement and choice. Cogn Emot 2000;14(4):473-493. https://doi.org/10.1080/026999300402763
  30. Lerner JS, Gonzalez RM, Small DA, Fischhoff B. Effects of fear and anger on perceived risks of terrorism: a national field experiment. Psychol Sci 2003;14(2):144-150. https://doi.org/10.1111/1467-9280.01433
  31. Rosenstock IM. Historical origins of the health belief model. Health Educ Monogr 1974;2(4):328-335. https://doi.org/10.1177/109019817400200403
  32. Rogers RW. A protection motivation theory of fear appeals and attitude change1. J Psychol 1975;91(1):93-114. https://doi.org/10.1080/00223980.1975.9915803
  33. Weinstein ND. Unrealistic optimism about susceptibility to health problems: conclusions from a community-wide sample. J Behav Med 1987;10(5):481-500. https://doi.org/10.1007/BF00846146
  34. Janis IL. Effects of fear arousal on attitude change: recent developments in theory and experimental research. In: Berkowitz L, editor. Advances in experimental social psychology: Vol.3. New York: Academic Press; 1967, p. 166-224.

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