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Relationships between fear of COVID-19, cyberchondria, intolerance of uncertainty, and obsessional probabilistic inferences: A structural equation modelBoysan, MuratEşkisu, MustafaÇam, Zekeriyafear of infectionhealth behaviorshealth psychologyonline addictionprobabilistic thinkingAnxietyCOVID-19FearHumansUncertaintyetiologyhumanThe study was set out to explore the structural relationships between fear of COVID-19, cyberchondria, intolerance of uncertainty, and obsessional probabilistic inferences. The data were recruited online from a community population (n = 1,049) subjected to a confirmatory factor analytic procedure. The structural model specified according to the previous findings in the literature showed that a general tendency to negative expectations in terms of probabilistic thinking was significantly associated with both COVID-19-related-fear and intolerance of uncertainty. Fear of COVID-19 was significantly associated with cyberchondria. Probabilistic thinking style and intolerance of uncertainty contributed to cyberchondria through fear of COVID-19 as well. We concluded that a tendency to engage in a probabilistic thinking style and intolerance of uncertainty seems to play role in the etiology of fear of infection and cyberchondria. © 2022 Scandinavian Psychological Associations and John Wiley & Sons Ltd.John Wiley and Sons Inc2022Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/12751https://doi.org/10.1111/sjop.128220036-5564enScandinavian Journal of Psychologyinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/12751