COVID-19 information seeking and individuals' protective behaviors: examining the role of information sources and information content.

Xuefeng Zhang, Lin Du, Yelin Huang, Xiao Luo, Fenglian Wang
Author Information
  1. Xuefeng Zhang: School of Economics and Management, Anhui Polytechnic University, Wuhu, China.
  2. Lin Du: School of Economics and Management, Anhui Polytechnic University, Wuhu, China.
  3. Yelin Huang: School of Economics and Management, Anhui Polytechnic University, Wuhu, China.
  4. Xiao Luo: School of Humanities, Anhui Polytechnic University, Wuhu, China.
  5. Fenglian Wang: School of Economics and Management, Anhui Polytechnic University, Wuhu, China. fenglian@ahpu.edu.cn.

Abstract

BACKGROUND: Seeking COVID-19 information promotes individuals to adopt preventive behaviors, including wearing a mask, social distancing, staying away from risky places, and washing hands. This study aims to investigate which information and sources individuals relied on in seeking COVID-19 information and further examine their roles in individuals' adoption of preventive behaviors.
METHODS: Through a statistical analysis of 1027 valid responses from citizens in different Chinese cities in 2022 to the self-designed items in an online survey, this study identified individuals' preferred information sources and content on COVID-19. Regarding the information sources and content, the study used multiple regression analysis to examine their associations with individuals' preventive behaviors, and further applied fuzzy-set qualitative comparative analysis (fsQCA) to explore their configurations that increase the likelihood of individuals adopting preventive behaviors.
RESULTS: Individuals preferred information about the newest prevention and control policies, precautions and treatment, and symptoms from the sources of workplace and community, social media, and social live streaming services. Additionally, individuals' preventive behaviors were positively related to the workplace and community (�����=���0.202, p���<.001), social live streaming services (�����=���0.089, p���<.01), government department websites (�����=���0.079, p���<.05), television (�����=���0.073, p���<.05), and online news media (�����=���0.069, p���<.05), but were negatively associated with newspapers (��=-0.087, p���<.05). Regarding information content, precautions and treatments (�����=���0.211, p���<.001), the newest prevention and control policies (�����=���0.173, p���<.001), symptoms (�����=���0.152, p���<.001), and official rumor-dispelling information (�����=���0.082, p���<.05) had a positive relationship with individuals' preventive behaviors. In addition, fsQCA results presented eight configurations that promote individuals to adopt preventive behaviors. The total coverage and solution consistency values were 0.869 and 0.987, respectively. Furthermore, COVID-19 information content, the sources of social media and interpersonal sources, and official news media played an essential role in increasing the likelihood of individuals adopting preventive behaviors.
CONCLUSIONS: Our findings demonstrated that individuals seek various COVID-19 information from multiple sources. The direct and degree of association of information sources and content with individuals' preventive behaviors vary from source to source and from content to content. Information sources and content could combinatorially promote individuals to adopt preventive behaviors through several configurations.

Keywords

References

  1. Int J Environ Res Public Health. 2022 Nov 04;19(21): [PMID: 36361391]
  2. Patient Educ Couns. 2020 May;103(5):873-876 [PMID: 32336348]
  3. Adv Clin Exp Med. 2023 Dec;32(12):1357-1368 [PMID: 37166014]
  4. Health Commun. 2022 Dec;37(14):1707-1714 [PMID: 33890517]
  5. Health Commun. 2021 Apr;36(4):476-486 [PMID: 31818134]
  6. Cyberpsychol Behav Soc Netw. 2020 Oct;23(10):677-682 [PMID: 32498549]
  7. Gov Inf Q. 2021 Apr;38(2):101572 [PMID: 35719729]
  8. Health Info Libr J. 2023 Dec;40(4):359-370 [PMID: 34490716]
  9. Curr Psychol. 2023 Feb 6;:1-16 [PMID: 36776146]
  10. BMC Public Health. 2022 Jul 20;22(1):1394 [PMID: 35858862]
  11. Pers Individ Dif. 2021 Aug;178:110868 [PMID: 36540786]
  12. JMIR Public Health Surveill. 2021 Jan 25;7(1):e22273 [PMID: 33428580]
  13. Int J Environ Res Public Health. 2020 May 20;17(10): [PMID: 32443712]
  14. Cities. 2022 Jan;120:103490 [PMID: 34642529]
  15. J Med Internet Res. 2023 Feb 10;25:e40057 [PMID: 36649235]
  16. Arch Med Res. 2020 Jul;51(5):363-374 [PMID: 32409144]
  17. BMC Med Inform Decis Mak. 2021 Aug 30;21(1):255 [PMID: 34461885]
  18. Health Policy Technol. 2021 Mar;10(1):165-173 [PMID: 33723502]
  19. Psychol Res Behav Manag. 2022 Jul 11;15:1707-1719 [PMID: 35844830]
  20. Health Commun. 2022 Nov;37(13):1640-1649 [PMID: 33876657]
  21. Libr Inf Sci Res. 2021 Oct;43(4):101122 [PMID: 34642543]
  22. J Med Internet Res. 2022 Jul 22;24(7):e38332 [PMID: 35839380]
  23. PLoS One. 2021 May 12;16(5):e0251095 [PMID: 33979370]
  24. Soc Sci Med. 2021 May;277:113928 [PMID: 33865093]
  25. Patient Educ Couns. 2023 Jun;111:107686 [PMID: 36857804]
  26. Technol Soc. 2021 May;65:101573 [PMID: 36540654]
  27. Public Health. 2021 Aug;197:28-35 [PMID: 34284218]
  28. Int J Environ Res Public Health. 2021 Apr 28;18(9): [PMID: 33924796]
  29. J Health Commun. 2022 Apr 3;27(4):241-249 [PMID: 35793310]
  30. J Med Internet Res. 2020 Nov 12;22(11):e23922 [PMID: 33151897]
  31. PLoS One. 2021 Aug 6;16(8):e0255592 [PMID: 34358256]
  32. Int J Environ Res Public Health. 2020 Dec 26;18(1): [PMID: 33375307]
  33. J Med Internet Res. 2023 Feb 17;25:e44225 [PMID: 36719823]
  34. BMC Public Health. 2022 Mar 3;22(1):428 [PMID: 35241057]
  35. J Community Health. 2022 Jun;47(3):530-538 [PMID: 35325337]
  36. J Med Internet Res. 2020 Aug 27;22(8):e19572 [PMID: 32790640]
  37. J Med Internet Res. 2021 Jul 16;23(7):e28563 [PMID: 34129515]
  38. Health Policy Technol. 2020 Dec;9(4):639-648 [PMID: 32874851]
  39. Medicine (Baltimore). 2022 Feb 4;101(5):e28625 [PMID: 35119007]
  40. J Appl Psychol. 2003 Oct;88(5):879-903 [PMID: 14516251]
  41. Front Public Health. 2020 Sep 18;8:494 [PMID: 33042941]
  42. JMIR Public Health Surveill. 2021 Jul 30;7(7):e28888 [PMID: 34081610]
  43. J Med Internet Res. 2021 Feb 25;23(2):e24165 [PMID: 33544691]
  44. J Med Internet Res. 2020 Aug 11;22(8):e20634 [PMID: 32716896]
  45. J Gerontol B Psychol Sci Soc Sci. 2022 Jul 5;77(7):e191-e198 [PMID: 33963746]

Grants

  1. gxyqZD2022045/Anhui Provincial Department of Education
  2. None/Excellent Young Scholars funded by Anhui Polytechnic University

MeSH Term

Humans
COVID-19
SARS-CoV-2
Information Seeking Behavior
Surveys and Questionnaires
Mass Media

Word Cloud

Created with Highcharts 10.0.0informationpreventivebehaviorssourcescontentp���<�����=���0COVID-19individualsindividuals'social05analysismedia001adoptstudyconfigurationsInformationseekingexamineonlinepreferredRegardingmultipleregressionfsQCAlikelihoodadoptingnewestpreventioncontrolpoliciesprecautionssymptomsworkplacecommunitylivestreamingservicesnewsofficialpromote0rolesourceBACKGROUND:SeekingpromotesincludingwearingmaskdistancingstayingawayriskyplaceswashinghandsaimsinvestigatereliedrolesadoptionMETHODS:statistical1027validresponsescitizensdifferentChinesecities2022self-designeditemssurveyidentifiedusedassociationsappliedfuzzy-setqualitativecomparativeexploreincreaseRESULTS:IndividualstreatmentAdditionallypositivelyrelated20208901governmentdepartmentwebsites079television073069negativelyassociatednewspapers��=-0087treatments211173152rumor-dispelling082positiverelationshipadditionresultspresentedeighttotalcoveragesolutionconsistencyvalues869987respectivelyFurthermoreinterpersonalplayedessentialincreasingCONCLUSIONS:findingsdemonstratedseekvariousdirectdegreeassociationvarycombinatoriallyseveralprotectivebehaviors:examiningFsQCAIndividualMultiple

Similar Articles

Cited By