Background: Internet addiction (IAD) is one of the most diffuse mental disorders among adolescents. Aims: The aim of our study was to evaluate the relationships between shame, self-efficacy and Internet addiction. Materials and Methods: We recruited a total of 670 college students (males = 164, 24.5%; females = 506, 75.5%). The subjects were aged between 18 and 36 years (M = 20.93, SD = 2.52; males: M = 21.43, SD = 2.95; females: M = 20.76, SD = 2.35). We administered the following instruments: Experience of Shame Scale; Perceived Social Self-Efficacy Scale - Adult Version; Perceived Self-Efficacy in Handling Negative Emotions Scales; Internet Addiction Test. Statistics Analysis: We applied multivariate analyses of variance (MANOVA), Pearson's correlation indices and linear regression analysis. Results and Conclusion: We found a significant inter-relation between Internet addiction and shame. Shame could be a good predictor of Internet addiction.

The relationships between self-efficacy, internet addiction and shame

CRAPARO, GIUSEPPE;MESSINA, ROBERTA MARIA RITA;SEVERINO, Sergio;CACIOPPO, MARCO;
2014

Abstract

Background: Internet addiction (IAD) is one of the most diffuse mental disorders among adolescents. Aims: The aim of our study was to evaluate the relationships between shame, self-efficacy and Internet addiction. Materials and Methods: We recruited a total of 670 college students (males = 164, 24.5%; females = 506, 75.5%). The subjects were aged between 18 and 36 years (M = 20.93, SD = 2.52; males: M = 21.43, SD = 2.95; females: M = 20.76, SD = 2.35). We administered the following instruments: Experience of Shame Scale; Perceived Social Self-Efficacy Scale - Adult Version; Perceived Self-Efficacy in Handling Negative Emotions Scales; Internet Addiction Test. Statistics Analysis: We applied multivariate analyses of variance (MANOVA), Pearson's correlation indices and linear regression analysis. Results and Conclusion: We found a significant inter-relation between Internet addiction and shame. Shame could be a good predictor of Internet addiction.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/70927
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