The relationship between internet addiction with eating disorders and musculoskeletal health among university students.
Aim: This study aimed to examine the relationship between internet addiction (IA) with eating disorders and musculoskeletal health problems among university students. Subject and methods: This study was cross-sectional. A total of 581 students (female 459; male 122) were included in the study. Data...
| Published in: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 31; no. 12; pp. 2115 - 2122 |
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| Main Authors: | , , |
| Format: | Article |
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Springer Nature
Dec2023
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=173722586&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 173722586 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 21981833 NENI jtl: Journal of Public Health: From Theory to Practice (2198-1833) issn: 21981833 maglogo: N pubinfo: dt: Dec2023 vid: 31 iid: 12 pid: 237 pub: Springer Nature artinfo: ui: 173722586 10.1007/s10389-022-01761-9 ppf: 2115 ppct: 7 formats: tig: atl: The relationship between internet addiction with eating disorders and musculoskeletal health among university students. aug: au: Güneş, Musa Demirer, Büşra Şimşek, Ayşe affil: https://ror.org/04wy7gp54 Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Karabuk University, Karabuk, Turkey https://ror.org/04wy7gp54 Department of Nutrition and Dietetics, Faculty of Health Sciences, Karabuk University, Karabuk, Turkey su: Türkiye Psychology of college students Cross-sectional method Quantitative research Qualitative research Internet addiction Eating disorders Disease risk factors Musculoskeletal system diseases Statistics Confidence intervals Backache Mann Whitney U Test Risk assessment Comparative studies Cronbach's alpha T-test (Statistics) Questionnaires Descriptive statistics Chi-squared test Odds ratio Data analysis software Data analysis Logistic regression analysis sug: subj: Psychology of college students Cross-sectional method Quantitative research Qualitative research Internet addiction Eating disorders Disease risk factors Türkiye Musculoskeletal system diseases Statistics Confidence intervals Backache Mann Whitney U Test Risk assessment Comparative studies Cronbach's alpha T-test (Statistics) Questionnaires Descriptive statistics Chi-squared test Odds ratio Data analysis software Data analysis Logistic regression analysis keyword: Musculoskeletal health Pain University students Musculoskeletal health Pain University students ab: Aim: This study aimed to examine the relationship between internet addiction (IA) with eating disorders and musculoskeletal health problems among university students. Subject and methods: This study was cross-sectional. A total of 581 students (female 459; male 122) were included in the study. Data were collected through an online survey system. The questionnaire form included some socio-demographic information, Young Internet Addiction Test (YIAT), Eating Attitude Test-26 Scale (EAT-26), and Musculoskeletal System Health Questionnaire Scale (MSK-HQ). The data were evaluated with IBM SPSS 25 statistical package program and the GraphPad program. Results: The prevalence of IA of the students participating in the study (mean age 21.24±2.03 years) is 8.4%. It was determined that individuals with IA had statistically significantly more back pain during their internet use compared to individuals who did not (p < 0.05). In addition, it was determined that individuals with IA had a higher risk of eating disorders and as the EAT-26 score increased, the risk of IA increased 1.02 times (OR 1.022; CI 1.001–1.044; p = 0.044). As the MSK-HQ score increases, the probability of being internet addicted also decreases (OR 0.747; CI 0.565–0.987; p = 0.040). Conclusion: This study shows that IA is associated with eating disorders and deterioration in musculoskeletal health problems among university students. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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