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. 2024 Apr 25:11:20551029241248757.
doi: 10.1177/20551029241248757. eCollection 2024 Jan-Dec.

Alike but not the same: Psychological profiles of COVID-19 vaccine skeptics

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Alike but not the same: Psychological profiles of COVID-19 vaccine skeptics

Ursula Voss et al. Health Psychol Open. .

Abstract

One of the challenges of the SARS-CoV-2 pandemic was a widespread skepticism about vaccination. To elucidate the underlying mental and emotional predispositions, we examined a sample of 1428 participants using latent profile analysis (LPA) on selected personality trait variables, mental health status, and measures of irrational beliefs. LPA revealed five distinct profiles: two classes of non-skeptics and three of skeptics. The smaller non-skeptic class reported the highest rates of mental health problems, along with high levels of neuroticism, hostility, interpersonal sensitivity, and external locus of control. The larger non-skeptic class was psychologically well-balanced. Conversely, the skeptic groups shared strong distrust of COVID-19 vaccination but differed in emotional and mental profiles, leading to graded differences in endorsing extreme conspiracy beliefs. This suggests that vaccine skepticism is not solely a result of mental illness or emotional instability; rather extreme skepticism manifests as a nuanced, graded phenomenon contingent on personality traits and conspirational beliefs.

Keywords: COVID-19; conspiracy; latent profile analysis; pandemic; psychological profiles; scale construction; vaccine skepticism.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Latent profiles of vaccine non-skeptics and skeptics characterized by their patterns (estimated mean scores, individual scores ranging from 1 to 7) of personality traits, COVID-19-specific attitudes, and conspirational beliefs. Note: N = 1144. Final class proportions are based on the most likely latent class membership.
Figure 2.
Figure 2.
Percentage of vaccinated participants in two classes comprising vaccine non-skeptics (class 1 and 2) and three classes comprising vaccine skeptics (class 3, 4, 5). Note: N = 1144, **p < .01.
Figure 3.
Figure 3.
Percentage of participants in classes 1 to 5 who reported a diagnosed mental health condition. Note: N = 1144, **p < .01.
Figure 4.
Figure 4.
Reasons of vaccinated individuals that led to vaccination. Multiple answers were allowed (N = 915).
Figure 5.
Figure 5.
Reasons of unvaccinated individuals that led to vaccination refusal. Multiple answers were allowed (N = 259).

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References

    1. Akaike H. (1987) Factor analysis and AIC. Psychometrika 52(3): 317–332.
    1. Aw J, Seng JJB, Seah SSY, et al. (2021) COVID-19 vaccine hesitancy—a scoping review of literature in high-income countries. Vaccines 9(8): 900. Multidisciplinary Digital Publishing Institute. - PMC - PubMed
    1. Böhning D, Rocchetti I, Maruotti A, et al. (2020) Estimating the undetected infections in the Covid-19 outbreak by harnessing capture–recapture methods. International Journal of Infectious Diseases 97: 197–201. - PMC - PubMed
    1. Bonab BG, Koohsar AAH. (2011) Relation among quality of attachment, hostility and interpersonal sensitivity in college students. Procedia - Social and Behavioral Sciences 30: 192–196. Elsevier BV.
    1. Celeux G, Soromenho G. (1996) An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification 13: 195–212.

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