Autistic traits as a potential confounding factor in the relationship between schizotypy and conspiracy beliefs

Delusion-proneness predicts COVID-19 vaccination behavior

Introduction

Vaccination-related conspiracy ideation is related to reduced compliance with public health advice globally. Such beliefs have previously been linked to the delusion-proneness trait. However, it is not known how this extends to getting vaccinated.

Methods

Here, we examined how delusion-proneness, as assessed by Peters et al. Delusions Inventory (PDI), is associated with COVID-19 vaccination in a sample of 273 subjects. We also examined whether delusion-proneness predicted the time to get vaccinated, after the vaccine became available.

Results

Unvaccinated subjects were more delusion-prone than vaccinated subjects (W=2225.5, p<0.001, effect-size=0.27). Among vaccinated subjects, higher delusion-proneness was related to longer time to get vaccinated (r s =0.27, p<0.001). These effects remained after adjusting for anxiety, ADHD, and ASD (Autism Spectrum Disorder) traits as well as for psychiatric diagnoses and sex. Path analyses indicated that the effect of delusion-proneness on vaccination rate was strongly mediated through COVID-19 conspiracy ideation, suggesting that delusion prone individuals first develop specific delusion-like ideas regarding vaccination, which then delays vaccination. An exploratory analysis of written text by subjects instructed to explain why they had vaccinated or not, revealed a difference in reasoning between the groups. Unvaccinated individuals were primarily motivated by concerns about personal safety and potential side effects, while vaccinated individuals stated a desire to protect themselves and others as the primary reasons to get vaccinated.

Discussion

Our results suggest that delusion-proneness is a key factor for attaining conspiracy beliefs, at least in relation to COVID-19 pandemic, and associated with lower vaccination rates as well as longer time to get vaccinated.

Insight in the Conspiracist's Mind

Academic AbstractThe motto of the conspiracist, "Do your own research," may seem ludicrous to scientists. Indeed, it is often dismissed as a mere rhetorical device that conspiracists use to give themselves the semblance of science. In this perspective paper, we explore the information-seeking activities ("research") that conspiracists do engage in. Drawing on the experimental psychology of aha experiences, we explain how these activities, as well as the epistemic experiences that precede (curiosity) or follow (insight or "aha" experiences) them, may play a crucial role in the appeal and development of conspiracy beliefs. Aha moments have properties that can be exploited by conspiracy theories, such as the potential for false but seemingly grounded conclusions. Finally, we hypothesize that the need for autonomous epistemic agency and discovery is universal but increases as people experience more uncertainty and/or feel epistemically excluded in society, hence linking it to existing literature on explaining conspiracy theories.

People with autistic traits are more likely to engage with misinformation and conspiracy theories in a simulated social media context

BACKGROUND

People with higher levels of autistic traits are shown to be more likely to endorse conspiracy theories and misinformation on traditional methods of measurement (e.g., self-report). However, such research has been limited by the lack of a naturalistic measure of misinformation and conspiracy theory endorsement that resembles social media platforms.

METHOD

This study included measures of autistic traits, performance measures of critical reasoning and other notable covariates, to assess how participants performed in a simulated social media environment via the Misinformation Game, and whether they actively engaged with misinformation content.

RESULTS

The results confirmed via a multiple mediation model (i.e., path analysis) that particular autistic traits, such as a lower ability to engage with imagination and higher attention to detail, were directly associated with false post engagement on the Misinformation Game and conspiracy theories. The relationship between autistic traits, conspiracy theories and misinformation was also partially mediated by scientific reasoning skills.

LIMITATIONS

This study was partially based on self-report methodology and did not use an entirely clinical sample.

CONCLUSION

There are particular autistic traits associated with the endorsement of misinformation and conspiracy theories which illustrate tendencies that could be focussed upon in future research to how best avoid misbeliefs.

Conspiracy mentality in autistic and non-autistic individuals

BACKGROUND

Belief in conspiracy theories has emerged across times and cultures. While previous accounts attributed conspiracy beliefs to mental health conditions, accumulating research suggests that conspiracy theories are common among the general population. In the present study we examined whether conspiracy mentality - that is, a general predisposition to believe conspiracy theories - differed between a group of autistic adults and a general population sample.

METHODS

This study included an autistic sample (n = 682) and a general population sample (n = 4358). Participants' conspiracy mentality was measured using the Conspiracy Mentality Questionnaire (CMQ).

RESULTS

A one-way ANCOVA (controlling for participants' age, gender, educational level, and ethnicity) revealed no difference in conspiracy mentality between an autism and a community sample.

CONCLUSIONS

The current study suggests that being autistic, or having more autistic traits, does not predict conspiracy mentality. These findings underscore that autism does not predispose people to conspiracy theories and suggest that autism is neither a risk factor for, nor a protective factor against, conspiracy mentality.

Approaching differential diagnosis and decisional capacity assessment in the context of COVID-19 conspiracy beliefs: A narrative review and clinical discussion

OBJECTIVE

COVID-19 conspiracy theories have become widespread since the onset of the pandemic and compound the existing challenges of decisional capacity assessment. This paper aims to review the literature pertaining to decisional capacity assessment in the context of COVID-19 conspiracy beliefs and synthesize a practical approach with an emphasis on differential diagnosis and clinical pearls for the practicing physician.

METHODS

We reviewed papers on decisional capacity assessment and differential diagnosis in the context of COVID-19 conspiracy beliefs. A literature search was conducted using the US National Library of Medicine's PubMed.gov resource and Google Scholar.

RESULTS

The resulting article content was utilized to synthesize a practical approach to decisional capacity assessment in the context of COVID-19 conspiracy beliefs. Specifically, aspects related to the history, taxonomy, evaluation, and management are reviewed.

CONCLUSIONS

Appreciating the nuanced differences between delusions, overvalued ideas, and obsessions while with integrating the non-cognitive domains of capacity into the assessment are crucial to navigating the wide differential diagnosis of COVID-19 conspiracy beliefs. It is important to attempt to clarify and optimize patient decision-making abilities by addressing circumstances, attitudes, and cognitive styles specific to patients with seemingly irrational beliefs about COVID-19.

Antivax attitude in the general population along the autism-schizophrenia continuum and the impact of socio-demographic factors

Introduction

One of the most important inventions in human history is vaccines. However, to date a consistent amount of people exhibit a hesitant approach toward them and mixed results have emerged in the attempt to characterize which factors may play a role in predicting such negative attitude. Here, we aimed at investigating how the individual scoring along the autism-schizophrenic continuum component and socio-cultural factors contribute toward vaccination attitudes in the general population.

Methods

To test whether individual position along the autism-schizophrenic continuum could predict vaccine attitude, we used principal component analysis (PCA) to extract the component showing diametric loading between the Schizotypal Personality Questionnaire (SPQ) and Autistic Quotient (AQ) subscales. Then, we performed a series of multiple linear regression analyses to understand the relation between the ASD-SSD continuum component and Vax scores. We also included socio-demographic factors (i.e., gender, education level, and age) as predictors.

Results

Multiple regression analysis revealed that the closer the individual lied on the positive schizotypal pole, the higher was their negative attitude toward vaccines. A diametric, more favorable disposition was found for individuals closer to the autistic end of the continuum. Furthermore, we reported that among the socio-cultural factors, only age can be considered a significant predictor of vaccination attitudes, with younger participants showing a more positive attitudes toward vaccination, while the level of education is an important protective factor in mitigating the negative impact that the proximity to the SSD pole and age play against vaccination disposition.

Discussion

These findings are relevant to improve targeted public health interventions, highlighting the crucial role of demographic, psychological, and social correlates in predicting anti-vax beliefs, which have the devasting potential to increase the spread of infectious disease.

Reflective thinking predicts lower conspiracy beliefs: A meta-analysis

One of the many established predictors of conspiracy beliefs is reflective thinking, but no meta-analysis so far has examined this relationship. In the current meta-analysis of published and unpublished correlational data (145 samples, 181 effect sizes), we found a significant negative association between reflective thinking and conspiracy beliefs with a medium-level effect size (r = –.189) . Similar levels of correlations were found across different types of measures (self-report vs. performance-based) and conspiracy beliefs (generic vs. specific). Further, no evidence suggested publication bias in this body of work. Suggestions for future research are discussed.