Research article Topical Sections

Protection motivation unmasked: Applying protection motivation theory to skepticism toward COVID-19 mask and vaccine mandates

  • Received: 13 March 2022 Revised: 26 May 2022 Accepted: 30 May 2022 Published: 10 June 2022
  • Variants of COVID-19 have sparked controversy regarding mask and/or vaccine mandates in some sectors of the country. Many people hold polarized opinions about such mandates, and it is uncertain what predicts attitudes towards these protective behavior mandates. Through a snow-ball sampling procedure of respondents on social media platforms, this study examined skepticism of 774 respondents toward these mandates as a function of the Protection Motivation Theory (PMT) of health. Hierarchical linear regressions examined Protection Motivation (PM) as a predictor of mask and vaccine mandate skepticism independently and with political party affiliation as a control. PM alone accounted for 76% of the variance in mask mandate skepticism, p < 0.001 and 65% in vaccine mandate skepticism, p < 0.001. When political affiliation was entered (accounting for 28% of the variance in mask mandate skepticism, p < 0.001, and 26% in vaccine mandate skepticism, p < 0.001), PM still accounted for significant percentages of variance in both mask (50%) and vaccine (43%) mandate skepticism, ps < 0.001. Across regressions, perceived severity, outcome efficaciousness, and self-efficacy each directly accounted for unique variance in mask and vaccine mandate skepticism, ps < 0.001; only perceived vulnerability failed to account for unique variance in the regressions, ps > 0.05. Specifically, the more severe participants perceived COVID-19 to be and the greater the perceived efficacy of masks and vaccines preventing the spread of COVID-19, the lower participants' skepticism toward mask and vaccine mandates. Similarly, the higher participants' self-efficacy in wearing masks or receiving the vaccine, the lower their skepticism toward mask and vaccine mandates.

    Citation: Robin M. Kowalski, Kenzie Hurley, Nicholas Deas, Sophie Finnell, Kelly Evans, Chelsea Robbins, Andrew Cook, Emily Radovic, Hailey Carroll, Lyndsey Brewer, Gabriela Mochizuki. Protection motivation unmasked: Applying protection motivation theory to skepticism toward COVID-19 mask and vaccine mandates[J]. AIMS Public Health, 2022, 9(3): 506-520. doi: 10.3934/publichealth.2022035

    Related Papers:

  • Variants of COVID-19 have sparked controversy regarding mask and/or vaccine mandates in some sectors of the country. Many people hold polarized opinions about such mandates, and it is uncertain what predicts attitudes towards these protective behavior mandates. Through a snow-ball sampling procedure of respondents on social media platforms, this study examined skepticism of 774 respondents toward these mandates as a function of the Protection Motivation Theory (PMT) of health. Hierarchical linear regressions examined Protection Motivation (PM) as a predictor of mask and vaccine mandate skepticism independently and with political party affiliation as a control. PM alone accounted for 76% of the variance in mask mandate skepticism, p < 0.001 and 65% in vaccine mandate skepticism, p < 0.001. When political affiliation was entered (accounting for 28% of the variance in mask mandate skepticism, p < 0.001, and 26% in vaccine mandate skepticism, p < 0.001), PM still accounted for significant percentages of variance in both mask (50%) and vaccine (43%) mandate skepticism, ps < 0.001. Across regressions, perceived severity, outcome efficaciousness, and self-efficacy each directly accounted for unique variance in mask and vaccine mandate skepticism, ps < 0.001; only perceived vulnerability failed to account for unique variance in the regressions, ps > 0.05. Specifically, the more severe participants perceived COVID-19 to be and the greater the perceived efficacy of masks and vaccines preventing the spread of COVID-19, the lower participants' skepticism toward mask and vaccine mandates. Similarly, the higher participants' self-efficacy in wearing masks or receiving the vaccine, the lower their skepticism toward mask and vaccine mandates.



    加载中


    1 It is important to note that mandate skepticism is not subsumed within the outcome expectancy component of the PMT. The extent to which we perceive that a behavior may be efficacious in warding off a health threat is not the same thing as thinking that a preventive health behavior infringes upon one's rights.

    Conflict of interest



    All authors declare no conflicts of interest in this paper.

    [1] Center for Disease ControlGuidance for COVID-19 (2021). Available from: https://cdc.gov/coronavirus/2019-ncov/communication/guidance.html
    [2] Centers for Disease ControlCovid-19 data tracker (2021). Available from: https://covid.cdc.gov/covid-data-tracker/#datatracker-home
    [3] Liu Y, Rocklöv J (2021) The reproductive number of the Delta variant of SARS-CoV-2 is far higher compared to the ancestral SARS-CoV-2 virus. J Travel Med 28: taab124. https://doi.org/10.1093/jtm/taab124
    [4] Boarman A Omicron in the US' dominant COVID variant for two reasons, 2021 December 28 (2021). Available from: https://vitals.sutterhealth.omg/omicron-is-the-us-dominant-covid-variant-for-two-reasons/
    [5] Ramos E Map: See how many adults in the U.S. have not been vaccinated, by state (2021). Available from: https://www.nbcnews.com/news/us-news/map-see-how-many-unvaccinated-adults-united
    [6] The White HouseNational COVID-19 Preparedness Plan (2022). Available from: https://www.whitehouse.gov/covidplan/#testing-masking
    [7] Associated PressThe August 2021 AP-NORC center poll (2021). Available from: https://apnorc.org/wp-content/uploads/2021/08/Afghanistan-topline.pdf
    [8] Binkley C, Fingerhut H School mask, vaccine mandates supported in US: AP-NORC poll (2021). Available from: https://apnews.com/article/lifestyle-health-education-coronavirus-pandemic-only-on-ap-0440d83602da918c571d506a3de9f44b
    [9] Floyd DL, Prentice-Dunn S, Rogers RW (2000) A meta-analysis of research on protection motivation theory. J Appl Soc Psychol 30: 407-429. https://doi.org/10.1111/j.1559-1816.2000.tb02323.x
    [10] Rogers RW (1975) A protection motivation theory of fear appeals and attitude change. J Psychol 91: 93-114. https://doi.org/10.1080/00223980.1975.9915803
    [11] Rogers RW, Prentice-Dunn S (1997) Protection motivation theory. Handbook of health and behavior research: Personal and social determinants.Plenum Press 113-132.
    [12] Shillair R (2020) Protection motivation theory. International encyclopedia of media psychology.John Wiley & Sons Limited. https://doi.org/10.1002/9781119011071.iemp0188
    [13] Vance A, Siponen M, Pahnila S (2012) Motivating IS security compliance: insights from habit and protection motivation theory. Inform Manag 49: 190-198. https://doi.org/10.1016/j.im.2012.04.002
    [14] Ling M, Kothe EJ, Mullan BA (2019) Predicting intention to receive a seasonal influenza vaccination using Protection Motivation Theory. Soc Sci Med 233: 87-92. https://doi.org/10.1016/j.socscimed.2019.06.002
    [15] Williams NL, Nguyen THH, Del Chiappa G, et al. (2022) COVID-19 vaccine confidence and tourism at the early stage of a voluntary mass vaccination campaign: A PMT segmentation analysis. Curr Issues Tour 25: 475-489. https://doi.org/10.1080/13683500.2021.1963216
    [16] Hovland CI, Janis IL, Kelley HH (1953) Communication and persuasion.Yale University Press.
    [17] Prentice-Dunn S, Rogers RW (1986) Protection motivation theory and preventive health: Beyond the health belief model. Health Educ Res 1: 153-161. https://doi.org/10.1093/her/1.3.153
    [18] Maddux JE, Rogers RW (1983) Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. J Exp Soc Psychol 19: 469-479. https://doi.org/10.1016/0022-1031(83)90023-9
    [19] Kowalski RM, Black KJ (2021) Protection motivation and the COVID-19 virus. Health Commun 36: 15-22. https://doi.org/10.1080/10410236.2020.1847448
    [20] Rad RE, Mohseni S, Takhti HK, et al. (2021) Application of the protection motivation theory for predicting COVID-19 preventive behaviors in Hormozgan, Iran: a cross-sectional study. BMC Public Health 21: 466. https://doi.org/10.1186/s12889-021-10500-w
    [21] Jennings W, Stoker G, Bunting H, et al. (2021) Lack of trust, conspiracy beliefs, and social media use predict COVID-19 vaccine hesitancy. Vaccines 9: 593. https://doi.org/10.3390/vaccines9060593
    [22] Newport F The partisan gap in views of the coronavirus (2020). Available from: https://news.gallup.com/opinion/polling-matters/311087/partisan-gap-views-coronavirus.aspx
    [23] Newman DA (2014) Missing data: Five practical guidelines. Organ Res Methods 17: 372-411. https://doi.org/10.1177/1094428114548590
    [24] Becker TE (2005) Potential problems in the statistical control of variables in organizational research: A qualitative analysis with recommendations. Organ Res Methods 8: 274-289. https://doi.org/10.1177/1094428105278021
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2323) PDF downloads(161) Cited by(3)

Article outline

Figures and Tables

Tables(9)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog