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This study aimed to explore the correlation between cyberchondria levels, depression risk, and the quality of life among female students amidst the COVID-19 pandemic. The research was conducted with 534 female students enrolled in a public university. Participants were asked to complete a Personal Information Form, Cyberchondria Severity Scale (CSS), Beck Depression Inventory (BDI), and “Short Form-36 (SF-36)” questionnaire. The findings from the multiple linear regression analysis revealed that the level of cyberchondria increased the depression risk by 0.06 times among students. Additionally, nonsmokers were found to have a depression risk that was 4.06 times lower than smokers. A negative and weak correlation was observed between the total score of the CSS and the SF-36 survey. Based on the study’s results, it can be concluded that the participants exhibited a moderate level of cyberchondria. Moreover, the study revealed a decreased quality of life and an increased risk of depression in participants as their level of cyberchondria increased. In order to mitigate the adverse impact of current and future health crises, it is imperative to prioritize organizing educational programs aimed at enhancing the e-health literacy level among female students, along with interventions to manage cyberchondria behaviors.

Investigation of the relationship between depression, cyberchondria levels and the quality of life of female students during the COVID-19 pandemic