Author/Authors :
Heidarimoghadam, Rashid Research Center for Health Sciences - Hamadan University of Medical Sciences, Hamadan, Iran , Mortezapour, Alireza Department of Ergonomics - School of Public Health - Hamadan University of Medical Sciences, Hamadan, Iran , Ghasemi, Fakhradin Department of Ergonomics - School of Public Health - Hamadan University of Medical Sciences, Hamadan, Iran , Ghaffari, Mohammad Ebrahim Dental Sciences Research Center - School of Dentistry - Guilan University of Medical Sciences, Rasht, Iran , Babamiri, Mohammad Department of Ergonomics - School of Public Health - Hamadan University of Medical Sciences, Hamadan, Iran , Razie, Mahdi Department of Ergonomics - School of Public Health - Hamadan University of Medical Sciences, Hamadan, Iran , Bandehelahi, Khadijeh Department of Public Health - Asadabad School of Medical Sciences, Asadabad, Iran
Abstract :
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 status
in the near future. The aim of this study was to determine the prevalence of this addiction and the
ability 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 through
three questionnaires on problematic use of online games, social networking addiction, and Nordic
musculoskeletal disorders. Data were compared with Chi-square and independent T-test, and the
logistic 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 to
clarify associations.
Results: The prevalence of Internet-related content addiction was 32.8%. The results showed that
addiction to social networks and online games can increase the risk of neck disorder. Also 0.58
area 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 and
appropriate interventions to avoid the associated adverse effects such as neck problems.
Keywords :
Addiction Medicine , Video Games , Social media , Addictive , Behavior , Neck Pain