Frequent search for health-related data on the internet that escalates anxiety experience is called cyberchondria. The aim of this study was to determine the role of anxiety sensitivity, intolerance of uncertainty and obsessive-compulsive symptoms in the prediction of cyberchondria. The study was performed on 177 students of Tabriz University, Tabriz, Iran. The samples were recruited using clustering sampling method. Data were collected using Cyberchondria Sensitivity Scale (CSS), Anxiety Sensitivity Index-Revised (ASIR), Maudsley Obsessive-Compulsive Inventory (MOCI), and Intolerance of Uncertainty Scale (IUS). According to the regression analysis, anxiety sensitivity, intolerance of uncertainty and obsessive-compulsive symptoms positively and significantly predicted cyberchondria. According to the results, the interpretation of physical sensations as dangers, uncertainty about the origin of these senses, and the feeling of responsibility and coercion to be sure about the health leads the individual to frequently search medical information through the Internet.