Behavioral and psychosocial factors associated with COVID-19 skepticism in the United States
COVID-19 skepticism can be conceptualized as the denial of the seriousness of the illness and the perception that the pandemic is overblown or a hoax. In the current study, we examined the association between COVID-19 skepticism and frequency of engaging in COVID-19 prevention behaviors, political i...
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Published in | Current psychology (New Brunswick, N.J.) Vol. 41; no. 11; pp. 7918 - 7926 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Springer US
01.11.2022
Springer Springer Nature B.V |
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Abstract | COVID-19 skepticism can be conceptualized as the denial of the seriousness of the illness and the perception that the pandemic is overblown or a hoax. In the current study, we examined the association between COVID-19 skepticism and frequency of engaging in COVID-19 prevention behaviors, political ideology, social norms about distancing, COVID-19 information-seeking behaviors, and COVID-19 conspiracy theories. A survey was administered from May 5th–14th. At that time, there were over 1 million COVID-19 cases in the US. Participants were recruited online through MTurk. The three outcome variables were handwashing, mask wearing, and social distancing. Injunctive and descriptive norms were assessed as well as measures of perceived risk to self and others. There were 683 participants in the analyses. In the multiple logistic regression model, those who were of younger age (aOR = 0.97,
p
< 0.05), better health (aOR = 0.56,
p
< 0.01), and more politically conservative (aOR = 1.32, p < 0.01) were more likely to endorse COVID-19 skepticism statements. People who reported higher Skepticism were also less likely to that believe people close to them would die from COVID-19 (aOR = 4.2,
p
< 0.01), engage in COVID-19 prevention behaviors, including spending time inside to prevent coronavirus (aOR = 0.33,
p
< 0.01) and frequently wear a mask outside (aOR = 0.44, p < 0.01). Those who were more skeptical about COVID-19 were also more likely to believe the conspiracy theory that China purposefully spread the virus (aOR = 6.38
p
< 0.01). COVID-19 Skepticism was strongly associated with reduced engagement in COVID-19 prevention behaviors. These findings bolster the arguments for making these public health recommendations mandatory. |
---|---|
AbstractList | COVID-19 skepticism can be conceptualized as the denial of the seriousness of the illness and the perception that the pandemic is overblown or a hoax. In the current study, we examined the association between COVID-19 skepticism and frequency of engaging in COVID-19 prevention behaviors, political ideology, social norms about distancing, COVID-19 information-seeking behaviors, and COVID-19 conspiracy theories. A survey was administered from May 5th–14th. At that time, there were over 1 million COVID-19 cases in the US. Participants were recruited online through MTurk. The three outcome variables were handwashing, mask wearing, and social distancing. Injunctive and descriptive norms were assessed as well as measures of perceived risk to self and others. There were 683 participants in the analyses. In the multiple logistic regression model, those who were of younger age (aOR = 0.97,
p
< 0.05), better health (aOR = 0.56,
p
< 0.01), and more politically conservative (aOR = 1.32, p < 0.01) were more likely to endorse COVID-19 skepticism statements. People who reported higher Skepticism were also less likely to that believe people close to them would die from COVID-19 (aOR = 4.2,
p
< 0.01), engage in COVID-19 prevention behaviors, including spending time inside to prevent coronavirus (aOR = 0.33,
p
< 0.01) and frequently wear a mask outside (aOR = 0.44, p < 0.01). Those who were more skeptical about COVID-19 were also more likely to believe the conspiracy theory that China purposefully spread the virus (aOR = 6.38
p
< 0.01). COVID-19 Skepticism was strongly associated with reduced engagement in COVID-19 prevention behaviors. These findings bolster the arguments for making these public health recommendations mandatory. COVID-19 skepticism can be conceptualized as the denial of the seriousness of the illness and the perception that the pandemic is overblown or a hoax. In the current study, we examined the association between COVID-19 skepticism and frequency of engaging in COVID-19 prevention behaviors, political ideology, social norms about distancing, COVID-19 information-seeking behaviors, and COVID-19 conspiracy theories. A survey was administered from May 5th-14th. At that time, there were over 1 million COVID-19 cases in the US. Participants were recruited online through MTurk. The three outcome variables were handwashing, mask wearing, and social distancing. Injunctive and descriptive norms were assessed as well as measures of perceived risk to self and others. There were 683 participants in the analyses. In the multiple logistic regression model, those who were of younger age (aOR = 0.97, p < 0.05), better health (aOR = 0.56, p < 0.01), and more politically conservative (aOR = 1.32, p < 0.01) were more likely to endorse COVID-19 skepticism statements. People who reported higher Skepticism were also less likely to that believe people close to them would die from COVID-19 (aOR = 4.2, p < 0.01), engage in COVID-19 prevention behaviors, including spending time inside to prevent coronavirus (aOR = 0.33, p < 0.01) and frequently wear a mask outside (aOR = 0.44, p < 0.01). Those who were more skeptical about COVID-19 were also more likely to believe the conspiracy theory that China purposefully spread the virus (aOR = 6.38 p < 0.01). COVID-19 Skepticism was strongly associated with reduced engagement in COVID-19 prevention behaviors. These findings bolster the arguments for making these public health recommendations mandatory. COVID-19 skepticism can be conceptualized as the denial of the seriousness of the illness and the perception that the pandemic is overblown or a hoax. In the current study, we examined the association between COVID-19 skepticism and frequency of engaging in COVID-19 prevention behaviors, political ideology, social norms about distancing, COVID-19 information-seeking behaviors, and COVID-19 conspiracy theories. A survey was administered from May 5th-14th. At that time, there were over 1 million COVID-19 cases in the US. Participants were recruited online through MTurk. The three outcome variables were handwashing, mask wearing, and social distancing. Injunctive and descriptive norms were assessed as well as measures of perceived risk to self and others. There were 683 participants in the analyses. In the multiple logistic regression model, those who were of younger age (aOR = 0.97, < 0.05), better health (aOR = 0.56, < 0.01), and more politically conservative (aOR = 1.32, p < 0.01) were more likely to endorse COVID-19 skepticism statements. People who reported higher Skepticism were also less likely to that believe people close to them would die from COVID-19 (aOR = 4.2, < 0.01), engage in COVID-19 prevention behaviors, including spending time inside to prevent coronavirus (aOR = 0.33, < 0.01) and frequently wear a mask outside (aOR = 0.44, p < 0.01). Those who were more skeptical about COVID-19 were also more likely to believe the conspiracy theory that China purposefully spread the virus (aOR = 6.38 < 0.01). COVID-19 Skepticism was strongly associated with reduced engagement in COVID-19 prevention behaviors. These findings bolster the arguments for making these public health recommendations mandatory. |
Audience | Academic |
Author | Latkin, Carl A. Collins, Karina Moran, Meghan Dayton, Lauren Strickland, Justin C. |
Author_xml | – sequence: 1 givenname: Carl A. orcidid: 0000-0002-7931-2116 surname: Latkin fullname: Latkin, Carl A. email: carl.latkin@jhu.edu organization: Department of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University – sequence: 2 givenname: Lauren surname: Dayton fullname: Dayton, Lauren organization: Department of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University – sequence: 3 givenname: Meghan surname: Moran fullname: Moran, Meghan organization: Department of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University – sequence: 4 givenname: Justin C. surname: Strickland fullname: Strickland, Justin C. organization: Behavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine – sequence: 5 givenname: Karina surname: Collins fullname: Collins, Karina organization: Department of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33424206$$D View this record in MEDLINE/PubMed |
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Keywords | Prevention Social distance SARS-CoV-2 Covid-19 Conspiracy theory Skepticism Social norms |
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License | Springer Science+Business Media, LLC, part of Springer Nature 2021. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
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SubjectTerms | Behavioral Science and Psychology Conspiracy Coronaviruses COVID-19 Disease prevention Epidemics Psychological aspects Psychological research Psychology Public opinion Skepticism Social aspects Social Sciences |
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Title | Behavioral and psychosocial factors associated with COVID-19 skepticism in the United States |
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