DIGITAL ANXIETY AND SLEEP DISORDERS: THE PREDICTIVE ROLE OF CYBERCHONDRIA AMONG UNIVERSITY STUDENTS IN JORDAN

Abstract

This study aimed to identify the relative contribution of Cyberchondria (digital anxiety) to Sleep Disorders among students of Jordanian universities. The descriptive, predictive approach was used; the study sample consisted of (506) male and female students. The results showed that Cyberchondria level among the sample was high, with a mean of (3.86), and that the level of Sleep Disorders among the sample was low, with a mean of (2.53). The results of the multiple linear regression model also showed that the correlation coefficient value between the independent variables (Cyberchondria (digital anxiety), faculty) and the dependent variable (Sleep Disorders) together reached (R=25.70), which indicates a negative and statistically significant correlation at the level of (α=0.05) between the variables.