Cyberchondria and Questionable Health Practices: The Mediation Role of Conspiracy Mentality

Vujić, Aleksandar; Dinić, Bojana M.; Jokić‐Begić, Nataša

doi:10.31577/sp.2022.01.842

Cited by 3 publications

(2 citation statements)

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“…The respondents answer on a 5-point scale (1 = I totally disagree , 5 = I totally agree ). The reliability of the scale in this study was α = 0.86 (ω = 0.86), similar to another study, where it was α = 0.82 (Vujić et al, 2022 ).…”

Section: Methodssupporting

confidence: 89%

“…This brief scale is constructed to measure the core features of cyberchondria. Sample items include “After searching for health information, I feel frightened,” and “Once I start searching for health information, I find it difficult to stop.” It was previously adapted from the Croatian language and validated into Serbian (Vujić et al, 2022 ) but was also used in English (Farooq et al, 2020 ). It is a reliable scale with good psychometric characteristics.…”

Section: Methodsmentioning

confidence: 99%

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Are Cyberchondria and Intolerance of Uncertainty Related to Smartphone Addiction?

Vujić

Volarov

Latas

et al. 2023

Int J Ment Health Addiction

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Smartphones are a medium for performing online activities, and one such activity could be the compulsive online health information search — cyberchondria. This study aimed to test whether cyberchondria and intolerance of uncertainty (IU) positively predict smartphone addiction (SA), adjusted for age, gender, daily use duration, the reason for using smartphones, and symptoms of anxiety and depression. The sample consisted of 471 adults (55.2% women) from the general population without chronic diseases (Mage = 38.67). Regression analysis showed that IU was a positive predictor of SA (β = .17, p < .001), as well as cyberchondria (β = .14, p < .001), which had a unique contribution to the explanation of SA, relative to IU. Other significant predictors were average daily smartphone use and entertainment use, the latter being the strongest predictor in the model. These results revealed cyberchondria as a unique predictor of SA.

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Section: Methodssupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%