Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
Department of Ergonomics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
J Res Health Sci. 2020 Apr 21;20(2):e00475. doi: 10.34172/jrhs.2020.10.
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.
A cross sectional study.
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.
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.
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.
各种在线内容(包括网络游戏和社交网络)成瘾的高患病率和多种后果已成为一个主要挑战。从这种成瘾中预测肌肉骨骼疾病的能力可以帮助揭示学生在不久的将来的健康状况。本研究的目的是确定这种成瘾的患病率以及从这个问题预测学生颈痛的能力。
一项横断面研究。
这项研究在 665 名学生中进行。通过三个问卷收集有关网络游戏、社交网络成瘾和北欧肌肉骨骼疾病的问题使用数据。使用卡方和独立 T 检验进行数据比较,然后在显著水平为 0.05 时呈现逻辑回归模型。最后,进行接收者操作特征(ROC)曲线下的面积和判别分析,以明确关联。
互联网相关内容成瘾的患病率为 32.8%。结果表明,社交网络和网络游戏成瘾会增加颈部紊乱的风险。ROC 曲线下的 0.58 面积也描绘了从这种成瘾预测颈部疼痛的能力。
在有互联网相关内容成瘾的学生中,可以预测颈部疾病。鉴于学生中互联网成瘾的高患病率,必须立即采取适当的干预措施,以避免与颈部问题等相关的不良影响。