پیش بینی سایبرکندوریا بر اساس مولفه های حساسیت اضطرابی و عدم تحمل بلاتکلیفی بین دانشجویان دانشگاه های تبریز در سال 1394

Prediction of cyberchondria based on components of anxiety sensitivity and intolerance of uncertainty among students of Tabriz universities in 2015.

Background and aims: Online medical information seeking is one of the common activities. Researchers have recently begun to investigate a disturbing cycle of concerns related to physical health and online medical information seeking as “cyberchondria”. The aim of this study was to introduce anxiety sensitivity and intolerance of uncertainty as two important predictors for cyberchondria. Methods: In this descriptive- analytic study that was conducted among students of Tabriz universities (University of Tabriz, Payame Noor) 228 volunteers (154 males and 74 females) selected by convenience sampling and responded to the cyberchondria severity scale, Anxiety Sensitivity Index and Intolerance of Uncertainty Scale. For data analysis, Pearson correlation and regression analysis were used. Results: The results showed that anxiety sensitivity and intolerance of uncertainty relatively have high correlation with cyberchondria. Among the components of anxiety sensitivity, physical concern and cognitive concerns were able to predict cyberchondria. Also, both components of intolerance of uncertainty, the IU Inhibitory and IU Prospective are well able to predict cyberchondria symptoms. Conclusion: The results of the current study endorsed on the importance of anxiety sensitivity and intolerance of uncertainty in the development and maintenance of cyberchondria. Sothese 2 factors can be proposed as important risk factors for cyberchondria. [ABSTRACT FROM AUTHOR]

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