Widespread misinformation about the COVID-19 pandemic has presented challenges for communicating public health recommendations. Should campaigns to promote protective behaviors focus on debunking misinformation or targeting behavior-specific beliefs? To address this question, we examine whether belief in COVID-19 misinformation is directly associated with two behaviors (face mask wearing and social distancing), and whether behavior-specific beliefs can account for this association and better predict behavior, consistent with behavior-change theory. We conducted a nationally representative two-wave survey of U.S. adults from 5/26/20-6/12/20 (n = 1074) and 7/15/20-7/21//20 (n = 889; follow-up response 83%). Scales were developed and validated for COVID-19 related misinformation beliefs, social distancing and face mask wearing, and beliefs about the consequences of both behaviors. Cross-lagged panel linear regression models assessed relationships among the variables. While belief in misinformation was negatively associated with both face mask wearing (B = −.27, SE =.06) and social-distancing behaviors (B = −.46, SE =.08) measured at the same time, misinformation did not predict concurrent or lagged behavior when the behavior-specific beliefs were incorporated in the models. Beliefs about behavioral outcomes accounted for face mask wearing and social distancing, both cross-sectionally (B =.43, SE =.05; B =.63, SE =.09) and lagged over time (B =.20, SE = 04; B =.30, SE =.08). In conclusion, belief in COVID-19related misinformation is less relevant to protective behaviors, but beliefs about the consequences of these behaviors are important predictors. With regard to misinformation, we recommend health campaigns aimed at promoting protective behaviors emphasize the benefits of these behaviors, rather than debunking unrelated false claims. Past studies Concern about misinformation predates the COVID-19 pandemic. Much attention has been paid to the proliferation of political misinformation, particularly in the wake of the 2016 U.S. presidential election (Guess et al., 2020), and how to effectively counter it (Cook et al., 2015). Misinformation is comparatively understudied in the health domain (Kreps & Kriner, 2020; Southwell et al., 2019). There is some evidence that belief in specific false health information is associated with undesirable outcomes, including lowered vaccination rates (Jolley & Douglas, 2014; Oliver & Wood, 2014), reduced contraceptive use (Thorburn & Bogart, 2005), and nonadherence to antiretroviral treatment (Bogart et al., 2010), although overall, the research is limited and the findings mixed (Nan et al., in press).
Wide-spread misinformation about the COVID-19 pandemic has presented challenges for communicating public health recommendations. Should campaigns to promote protective behaviors focus on debunking misinformation or targeting behavior-specific beliefs? To address this question, we examine whether belief in COVID-19 misinformation is directly associated with two behaviors (face mask wearing and social distancing), and whether behavior-specific beliefs can account for this association and better predict behavior, consistent with behavior-change theory. We conducted a nationally representative two-wave survey of U.S. adults from 5/26/20-6/12/20 (n=1074) and 7/15/20-7/21//20 (n=889; follow up response 83%). Scales were developed and validated for COVID-19 related misinformation beliefs, social distancing and face mask wearing, and beliefs about the consequences of both behaviors. Cross-lagged panel linear regression models assessed relationships among the variables. While belief in misinformation was negatively associated with both face mask wearing (B= -.27, SE=.06) and social distancing behaviors (B= -.46, SE=.08) measured at the same time, misinformation did not predict concurrent or lagged behavior when the behavior-specific beliefs were incorporated in the models. Beliefs about behavioral outcomes accounted for face mask wearing and social distancing, both cross-sectionally (B= .43, SE=.05; B= .63, SE=.09) and lagged over time (B= .20, SE=04; B= .30, SE=.08). In conclusion, belief in COVID-19-related misinformation is less relevant to protective behaviors, but beliefs about the consequences of these behaviors are important predictors. With regard to misinformation, we recommend health campaigns aimed at promoting protective behaviors emphasize the benefits of these behaviors, rather than debunking unrelated false claims
COVID vaccination intentions vary among the US population. We report the results of a nationally representative survey undertaken in July 2020 (N=889) that examined the association of six vaccine-specific beliefs with intentions to vaccinate. We find that four of the six beliefs have substantial associations with intention (Gammas between .60 and .77), that the associations mostly do not vary with gender, age, race/ethnicity, or misinformation (even though intentions do vary with each of those variables). Also, once adjusted for the vaccine-specific beliefs, level of misinformation is not related to intentions. We consider the implications of these results and argue both that persuasive campaigns can be informed by these specific results, and given rapid changes in vaccine availability, that there is a substantial need for elaborated and repeated follow-up studies.
The development of a COVID-19 vaccine is a critical strategy for combatting the pandemic. However, in order for vaccination efforts to succeed, there must be widespread willingness to vaccinate. Prior research has found that Black Americans, who have already been disproportionately impacted by the pandemic, report lower intentions to get a vaccine than do other populations. In this study, we investigate potential causes of this disparity, focusing on vaccine-related behavioral beliefs and trust in four COVID-19 information sources (mainstream media, social media, President Trump, and public health officials and agencies). Using a nationally-representative survey (n=889), we demonstrate that differences in vaccine beliefs explain the lower vaccine intentions reported by Black participants compared to non-Black participants. However, while we find associations between trust in information sources and vaccine beliefs, we do not find evidence that differences in trust accounted for the observed differences in vaccine beliefs by race. Furthermore, we found evidence of moderation; the association of trust in two sources, Trump and public health officials and agencies, with beliefs were smaller among Black participants. Overall, our results suggest that trust in information sources alone does not explain the observed relationship between race and vaccine beliefs. This relationship warrants further investigation.
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