Cited by 17COVID-19 Prevention and ImpactCommunication and COVID-19 ImpactCOVID-19 epidemiological studies

Predictors of COVID-19 Preventive Perceptions and Behaviors Among Millennials: Two Cross-sectional Survey Studies

Open access
Beaudoin, Christopher E, Hong, Traci·2021·Journal of Medical Internet Research

Published version of a preprint

Abstract

BACKGROUND: COVID-19 preventive perceptions and behaviors, especially among US millennials, are an important means by which the pandemic can be slowed and negative health outcomes can be averted. OBJECTIVE: This manuscript aims to advance knowledge on COVID-19 preventive perceptions and behaviors and their main predictors, including digital health information-seeking behavior (HISB), political party identification, and COVID-19 testing status. METHODS: Two cross-sectional online surveys of US millennials were conducted from April 10 to 14, 2020 (N=274) (ie, Study 1), and from April 27 to May 7, 2020 (N=1037) (ie, Study 2). In the regression models, dependent variables included preventive behaviors (eg, wearing a face mask and social distancing) as well as four preventive perceptions: severity (ie, a person's conception of the seriousness of COVID-19), susceptibility (ie, a person's conception of the likelihood of being infected with COVID-19), self-efficacy (ie, a person's perception that he or she can wear a face mask and perform social distancing to prevent COVID-19 infection), and response efficacy (ie, a person's perception of whether wearing a face mask and social distancing can prevent COVID-19 infection). Key independent variables included digital HISB for self, digital HISB for another person, political party identification, and COVID-19 testing status. RESULTS: Millennials reported lower levels of perceived susceptibility than the other three preventive perceptions (ie, severity, self-efficacy, and response efficacy), as well as fairly high levels of preventive behaviors. Unlike HISB for another person, digital HISB for self was positively associated with preventive perceptions and behaviors. In Study 1, respondents with higher levels of digital HISB for self had significantly higher perceptions of severity (β=.22, P<.001), self-efficacy (β=.15, P=.02), and response efficacy (β=.25, P<.001) as well as, at nearing significance, higher perceptions of susceptibility (β=.11, P=.07). In Study 2, respondents with higher levels of digital HISB for self had significantly higher perceptions of severity (β=.25, P<.001), susceptibility (β=.14, P<.001), and preventive behaviors (β=.24, P<.001). Preventive behaviors did not vary significantly according to political party identification, but preventive perceptions did. In Study 1, respondents who identified as being more Republican had significantly lower perceptions of self-efficacy (β=-.14, P=.02) and response efficacy (β=-.13, P=.03) and, at nearing significance, lower perceptions of severity (β=-.10, P=.08) and susceptibility (β=-.12, P=.06). In Study 2, respondents who identified as being more Republican had significantly lower perceptions of severity (β=-.08, P=.009). There were mixed effects of COVID-19 testing status on preventive perceptions, with respondents who had tested positive for COVID-19 having significantly higher perceptions of susceptibility in Study 1 (β=.17, P=.006) and significantly lower perceptions of severity in Study 2 (β=-.012, P<.001). CONCLUSIONS: As the largest and most digitally savvy generation, US millennials saw COVID-19 as a severe threat, but one that they were less susceptible to. For millennials, digital HISB for self, but not for another person, was critical to the development of preventive perceptions and behaviors.

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  • Millennials were under social pressure as they were considered as the core group that will importantly contribute to the cessation of the virus' spreading.

    “Thirdly, Millennials were under social pressure as they were considered as the core group that will importantly contribute to the cessation of the virus’ spreading [50].”

    From At the Peak of the Second Wave of COVID-19, Did Millennials Show Different Emotional Responses from Older Adults? (2022) · cites this paper as [50]

    The Introduction (Background; page not provided) calls US millennials especially important to COVID-19 prevention and quotes Dr Deborah Birx describing them as “the core group that will stop this virus.” It does not say millennials were under social pressure because of that expectation. (LLM, conf=0.88)

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References 33 · Cited by 17

Research works printed but not linked: 1

  1. [12]Skinner C Tiro J Champion V Glanz K Rimer BK Viswanath K The Health Belief Model Health Behaivor: Theory, Research, and Practice. 5th edition 2015 San Francisco, CA Jossey-Bass 75 94

Authors
Beaudoin, C. E., & Hong, T.
Affiliations
Boston University (US)
Corresponding author
Beaudoin, Christopher E
Venue
Journal of Medical Internet Research
Published
2021-08-12
Volume
23
Issue
8
Pages
e30612
ISSN
1438-8871 (ISSN-L)
OpenAlex
W3173230898
Cited by
17
References
33
Citations by year
2025: 5 · 2024: 2 · 2023: 7 · 2022: 2 · 2021: 1
FWCI
4.16
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Medical Internet Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
  • Social Sciences › Communication › Communication and COVID-19 Impact
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
Keywords
COVID-19 pandemic, preventive behavior, millennials, health information seeking, party identification, perceived susceptibility, perceived severity, self-efficacy, response efficacy, masking, social distancing, digital health data, health risk perception, pandemic preparedness, United States adults, 2024 US presidential election
MeSH terms
Physical Distancing, COVID-19, SARS-CoV-2, COVID-19 Testing, Adult, Cross-Sectional Studies, Female, Humans, Male, Masks, Perception, Politics, Surveys and Questionnaires, Health Behavior, Internet

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