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. 2015 Aug;122(8):1187-96.
doi: 10.1007/s00702-014-1361-5. Epub 2015 Jan 10.

Internet gaming disorder, social network disorder and laterality: handedness relates to pathological use of social networks

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Internet gaming disorder, social network disorder and laterality: handedness relates to pathological use of social networks

Polyxeni Bouna-Pyrrou et al. J Neural Transm (Vienna). 2015 Aug.

Abstract

The internet age bears new challenges that include health risks. It is agreed that excessive internet use may reach pathological levels. However, the concept of internet addiction lacks specificity and, therefore, warrants studies on its diagnostic and etiologic classification. This study was conducted to characterize the novel DSM-5 criteria for internet gaming disorder and the adapted criteria for the "social network disorder". Based on the established association of handedness and substance use disorders, we also explored whether internet use related to laterality. For this study, 3,287 volunteers participated in the online survey and gave particulars concerning their internet use in general, internet gaming and use of social networks, laterality markers (hand, foot, eye, ear, rotational preference in gymnastics, and head turning asymmetry) and health status. Of the participants, 1.1 % fulfilled the criteria for internet gaming disorder, and 1.8 % fulfilled the criteria for social network disorder. The applied criteria were highly correlated with the time spent on the respective internet activities (p < 4 × 10(-56)). The analyses of comorbidity and working hours support the thresholds of 5/9 criteria and ≥30 h/week spent on the internet for the classification as pathological (p < 5 × 10(-2)). Moreover, we found that left-handedness related to more affirmed criteria and longer times spent on social networks (p ≤ 4 × 10(-2)). The provided criteria proved to be user-friendly, comprehensible and well accepted. The results contribute to a better understanding of pathological internet gaming and social network use and provide evidence that biological markers of substance use disorders are involved in internet addiction.

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Figures

Fig. 1
Fig. 1
Relationship between the DSM-5 and the adapted criteria for IGD and SND and the time invested on internet gaming or social networks The subgroups based on the number of affirmed IGD or SND criteria differed in the time spent on internet games [a, b average, Kruskal–Wallis test: χ 2 = 972, p < 10−99; maximum, Kruskal–Wallis test: χ 2 = 963, p < 10−99; significant post hoc results (Dunn’s tests) for “0” vs. “1–4” and “0” vs. “5–9”] and social networks [c, d average, Kruskal–Wallis test: χ 2 = 525, p < 10−99; maximum, Kruskal–Wallis test: χ 2 = 559, p < 10−99; significant post hoc results (Dunn’s tests) for “0” vs. “1–4”, “0” vs. “5–9” and “1–4” vs. “5–9”]. The graphs show the medians and the 25/75 percentiles
Fig. 2
Fig. 2
Difference in handedness between the healthy and excessive users of social networks. The participants who reported spending ≥30 h/week (h/week) on social networks scored lower on the waterloo handedness questionnaire-revised (WHQ-R) and were thus more strongly left-handed than participants who stated using social networks <30 h/week (Mann–Whitney U test, U = 337,810, p = 3 × 10−3). The graph shows the medians and the 25/75 percentiles

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