Prediction of Cyberchondria Based on Chronic Stress, Rumination, and Internet Addiction
Keywords:
cyberchondria , chronic stress, internet addiction, ruminationAbstract
Objective: The present study aimed to predict cyberchondria based on chronic stress, rumination, and internet addiction. This research, in terms of its aim, is applied, and in terms of its method, it is a descriptive correlational study. Methodology: The statistical population consisted of married women in the city of Tehran. A total of 400 married women were determined and selected as the statistical sample using convenience sampling, following Loehlin's (2004) guideline. Data collection instruments included the Cyberchondria Scale (McElroy, 2014), the Chronic Stress Scale (Cohen, 1983), the Rumination-Reflection Questionnaire (Trapnell & Campbell, 1999), and the Internet Addiction Scale (Kimberly). The data were analyzed using Pearson correlation coefficient, univariate and multivariate regression methods with SPSS 22 software, and structural equation modeling using LISREL 8.5. The findings indicated that cyberchondria had a strong correlation with chronic stress, rumination, and internet addiction. Findings: The regression equation's coefficient of determination was 0.425, suggesting that approximately 42.5% of the variance in cyberchondria is explained by the variables of chronic stress, rumination, and internet addiction, which is a significant amount. There was a negative correlation (−0.189) between cyberchondria and positive chronic stress, a positive correlation (0.318) between cyberchondria and negative chronic stress, a positive correlation (0.135) between cyberchondria and rumination, and a positive correlation (0.55) between cyberchondria and internet addiction. Conclusion: Therefore, rumination, chronic stress, and internet addiction are predictors of cyberchondria
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