Abstract

Introduction: The use of online health resources and self-diagnosis intensified during the COVID-19 pandemic, often resulting in symptoms of cyberchondria. However, little is still known about this phenomenon's real scale and determinants. The aim of the study was to examine the prevalence of cyberchondria among adult internet users in Poland. Furthermore, the study was focused on analyzing the determinants of cyberchondria, with special regard to health literacy (HL) and e-health literacy (eHL). Methods: The analysis was based on data from a computer-assisted web-based interviewing survey performed with a sample of 1,613 internet users. Uni- and multivariable linear regression models were developed for potential determinants of cyberchondria. Results: Younger respondents were more likely to have higher cyberchondria scores than older respondents. Men were more likely to have lower cyberchondria scores than women. Higher health anxiety was significantly associated with cyberchondria severity. In the multivariable regression model, the severity of cyberchondria was significantly higher among respondents with inadequate rather than sufficient HL (B = 6.24, p < 0.001). In turn, greater eHL was significantly correlated with more severe cyberchondria (B = 0.92, p < 0.001). Conclusions: Our study confirmed that HL may be perceived as a protecting factor against cyberchondria. Unexpectedly, higher eHL predicts more severe cyberchondria.

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