4.7 Article

Coronavirus conspiracy suspicions, general vaccine attitudes, trust and coronavirus information source as predictors of vaccine hesitancy among UK residents during the COVID-19 pandemic

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PSYCHOLOGICAL MEDICINE
卷 53, 期 1, 页码 236-247

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CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0033291721001434

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Coronavirus; COVID-19; Vaccine hesitancy; Conspiracy beliefs; Conspiracy theories

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Vaccine hesitancy in the context of COVID-19 is associated with various factors such as age, gender, income, education, reliance on social media, perceived risk, trust in scientists and medics, trust in government, conspiracy suspicions, and vaccine attitudes. These factors collectively explain 35% of the variance. However, the effects associated with trust, ethnicity, and social media reliance largely disappear after controlling for conspiracy suspicions and vaccine attitudes, while the effect associated with education is reversed.
Background Vaccine hesitancy presents an obstacle to the campaign to control COVID-19. It has previously been found to be associated with youth, female gender, low income, low education, low medical trust, minority ethnic group membership, low perceived risk from COVID-19, use of certain social media platforms and conspiracy beliefs. However, it is unclear which of these predictors might explain variance associated with others. Methods An online survey was conducted with a representative sample of 4343 UK residents, aged 18-75, between 21 November and 21 December 2020. Predictors of vaccine hesitancy were assessed using linear rank-order models. Results Coronavirus vaccine hesitancy is associated with youth, female gender, low income, low education, high informational reliance on social media, low informational reliance on print and broadcast media, membership of other than white ethnic groups, low perceived risk from COVID-19 and low trust in scientists and medics, as well as (to a much lesser extent) low trust in government. Coronavirus conspiracy suspicions and general vaccine attitudes appear uniquely predictive, jointly explaining 35% of variance. Following controls for these variables, effects associated with trust, ethnicity and social media reliance largely or completely disappear, whereas the effect associated with education is reversed. Conclusions Strengthening positive attitudes to vaccination and reducing conspiracy suspicions with regards to the coronavirus may have a positive effect on vaccine uptake, especially among ethnic groups with heightened vaccine hesitancy. However, vaccine hesitancy associated with age and gender does not appear to be explained by other predictor variables tested here.

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