ArticleJournal of physical therapy science2016
Fatigue and pain related to internet usage among university students.
Article in Journal of physical therapy science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of Internet addiction disorder in Chinese university students: A comprehensive meta-analysis of observational studies.Journal of behavioral addictions · 2018Pooled it
- School connectedness and adolescents' problematic smartphone use: a cross-lagged model mediated by depressive symptoms.BMC public health · 2026Article
- Physiotherapy in Text Neck Syndrome: A Scoping Review of Current Evidence and Future Directions.Journal of clinical medicine · 2025Review
- The relationship between problematic mobile phone use and meaning in life among adolescents: a latent profile analyses.BMC psychology · 2025Article
- Parenting styles and internet addiction in college students: self-esteem and self-control as mediators.Frontiers in psychology · 2025Article
- The influence of adolescents essential and non-essential use of technology and Internet addiction on their physical and mental fatigues.Scientific reports · 2024Article
- Comorbidity, Eating Behaviors and Smartphone Addiction in Italian Nurses' Characteristics.Endocrine, metabolic & immune disorders drug targets · 2024Article
- Mild internet use is associated with epigenetic alterations of key neurotransmission genes in salivary DNA of young university students.Scientific reports · 2023Article
- The association between childhood maltreatment and internet addiction among Chinese junior middle school students: prospective cohort study.BJPsych open · 2023Article
- An Explainable Student Fatigue Monitoring Module with Joint Facial Representation.Sensors (Basel, Switzerland) · 2023Article
- Exercise intervention to reduce mobile phone addiction in adolescents: a systematic review and meta-analysis of randomized controlled trials.Frontiers in psychology · 2023Review
- Internet addiction and suicidal ideation among Chinese college students: the mediating role of psychotic-like experiences.Frontiers in public health · 2023Article
- Analysis of Improving Effect of Running APP on College Students' Physique by Using Student Data Mining Technology.Computational intelligence and neuroscience · 2022Article
- A Preliminary Validation of the Polish Version of the Social Media Fatigue Scale.Psychology research and behavior management · 2021Article
- Pain Prevalence, Management and Interference Among University Students in South Korea: An Exploratory Cross-Sectional Study.Journal of pain research · 2021Article
- Article
- Impulsivity, Social Support and Depression Are Associated With Latent Profiles of Internet Addiction Among Male College Freshmen.Frontiers in psychiatry · 2021Article
- Association Between Internet Addiction and the Risk of Musculoskeletal Pain in Chinese College Freshmen - A Cross-Sectional Study.Frontiers in psychology · 2019Article
- Recommendations of Lifestyle Modification According to a Survey of First-Year University Students.Journal of clinical medicine research · 2018Article
- Prevalence and Predictors of Internet Addiction among College Students in Sousse, Tunisia.Journal of research in health sciences · 2018Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
[Purpose] This study was performed to assess fatigue and pain levels related to internet usage among university students. The dominant regions of fatigue and pain in the body were examined, as well as differences in fatigue and pain levels among students. [Subjects and Methods] The study used a descriptive survey and a convenience sample of 378 students from a single university. The data were collected from January 1 to June 31, 2015. Fatigue and pain levels were measured using a visual analog scale. [Results] The average reported by the participants 4.7 and 3.7 levels of fatigue and pain, respectively. The regions with the highest fatigue scores were the eyes, followed by the neck, and shoulders. The regions with the highest pain scores were the neck, followed by the shoulders, and the waist. The results show that participants' fatigue and pain levels depended on the duration of their internet use per day. [Conclusion] These findings indicate that control of internet usage time is needed to maintain the well-being of university students who use the internet.
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