Back

Correlates of COVID-19 conspiracy theory beliefs in Japan: A nationally-representative cross-sectional survey

Sato, Y.; Kawachi, I.; Saijo, Y.; Yoshioka, E.; Osaka, K.; Tabuchi, T.

2024-09-07 epidemiology
10.1101/2024.09.06.24313228 medRxiv
Show abstract

BackgroundThe COVID-19 pandemic was associated with an increase in conspiracy theories worldwide. However, the prevalence of COVID-19 conspiracy beliefs among Japanese has remained unclear. This study aimed to estimate the prevalence and correlates of COVID-19 conspiracy beliefs in Japan using a nationwide survey of 28,175 residents aged 16-81 years old. MethodsA nationally representative, cross-sectional self-administered survey was conducted from September to October 2021. To assess the number of COVID-19 conspiracy beliefs, we used three questions from the Oxford Coronavirus Explanations, Attitudes, and Narratives Survey. Independent variables included general vaccine conspiracy beliefs, sociodemographic variables, information sources for COVID-19, trust in authorities, and fear of COVID-19. ResultsAfter applying sampling weights and imputation, the estimated prevalence of holding at least one COVID-19 conspiracy belief was 24.4%. From a linear regression model, several factors were independently associated with conspiracy beliefs. Notably, people with the lowest level of education (lower secondary school) endorsed fewer COVID-19 conspiracy beliefs (B -0.089, vs. upper secondary school). Furthermore, higher socioeconomic backgrounds-such as higher income, higher wealth, and regular employment-were associated with endorsing conspiracy beliefs. Additionally, only 37.3% of respondents trusted the government of Japan, but paradoxically, trust in the government was positively associated with conspiracy beliefs (B 0.175, vs. distrust). ConclusionsConspiracy beliefs about COVID-19 were prevalent in about a quarter of the Japanese population. Certain groups are more likely to endorse conspiracy beliefs, and targeting interventions towards these groups might be efficient in stemming the spread of conspiracy beliefs.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.