Musculoskeletal Consequences in Cyber-Addicted Students - Is It Really AMatter of Health? A ROC Curve Analysis for Prioritizing Risk Factors

Background: the high prevalence and also multiple consequences of addiction to various online content, including online games and social networks, have become a major challenge. the ability to predict musculoskeletal disorders from this addiction can help reveal in students' health statusin the near future. the aim of this study was to determine the prevalence of this addiction and theability to predict neck pain from this matter in students.study design: a cross sectional study.methods: this study was carried out among 665 students. data collection was performed throughthree questionnaires on problematic use of online games, social networking addiction, and nordicmusculoskeletal disorders. data were compared with chi-square and independent t-test, and thelogistic regression model was then presented at a significant level of 0.05. finally, the area under the receiver operating characteristic (roc) curve and discriminant analysis were conducted toclarify associations.results: the prevalence of internet-related content addiction was 32.8%. the results showed thataddiction to social networks and online games can increase the risk of neck disorder. also 0.58area under roc curve depicted the ability to predict neck pain from this addiction.conclusions: in students with internet - related content addiction, neck disorder can be predicted.given the high prevalence of internet addiction in students, it is essential to take immediate andappropriate interventions to avoid the associated adverse effects such as neck problems.