Beáta Bőthe1,2, István Tóth-Király1,2, Gábor Orosz1,3. 1. 1 Institute of Psychology, University of Eötvös Loránd , Budapest, Hungary . 2. 2 Institute of Psychology, University of Szeged , Szeged, Hungary . 3. 3 MTA Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology , Budapest, Hungary .
Abstract
OBJECTIVE: This study was aimed at investigating the links between online gaming and online pornography use by considering gender, problematic Internet use, and different motives for alcohol drinking. MATERIALS AND METHODS: University students (n=512; mean age=22.11 years; standard deviation=2.43 years; 64.06 percent women) filled in the Cyber Pornography Use Inventory, Hungarian version, the Problematic Online Gaming Questionnaire, Hungarian version (POGQ-HU), the Problematic Internet Use Questionnaire, Hungarian version (PIUQ-HU), and the Drinking Motive Questionnaire Revised Short Form, Hungarian version (DMQ-R-HU SF) questionnaires. RESULTS: According to hierarchical multiple regression analyses, the neglect factor of PIUQ-HU, the conformity factor of DMQ-R-HU SF, and the immersion and preoccupation factors of POGQ-HU have a significant predictive value on one's online pornography use, but gender does not. CONCLUSIONS: This research shows that independently from the effect of Internet and alcohol use dimensions, immersion and preoccupation factors of online gaming have significant effects on online pornography use. However, preoccupation has a negative effect on pornography use. Players scoring high on this subscale may think about gaming as the only interesting activity that rates higher than even pornography.
OBJECTIVE: This study was aimed at investigating the links between online gaming and online pornography use by considering gender, problematic Internet use, and different motives for alcohol drinking. MATERIALS AND METHODS: University students (n=512; mean age=22.11 years; standard deviation=2.43 years; 64.06 percent women) filled in the Cyber Pornography Use Inventory, Hungarian version, the Problematic Online Gaming Questionnaire, Hungarian version (POGQ-HU), the Problematic Internet Use Questionnaire, Hungarian version (PIUQ-HU), and the Drinking Motive Questionnaire Revised Short Form, Hungarian version (DMQ-R-HU SF) questionnaires. RESULTS: According to hierarchical multiple regression analyses, the neglect factor of PIUQ-HU, the conformity factor of DMQ-R-HU SF, and the immersion and preoccupation factors of POGQ-HU have a significant predictive value on one's online pornography use, but gender does not. CONCLUSIONS: This research shows that independently from the effect of Internet and alcohol use dimensions, immersion and preoccupation factors of online gaming have significant effects on online pornography use. However, preoccupation has a negative effect on pornography use. Players scoring high on this subscale may think about gaming as the only interesting activity that rates higher than even pornography.
Authors: Li Chen; Ruiyi Liu; Huan Zeng; Xianglong Xu; Rui Zhu; Manoj Sharma; Yong Zhao Journal: Int J Environ Res Public Health Date: 2018-08-06 Impact factor: 3.390