The effect of social media use on eating behaviors and physical activity among university students.
Aim: This cross-sectional study aimed to evaluate the relationship between the duration of social media use time, eating disorders, and physical activity level in university students. Subjects and methods: A total of 562 university students between the ages of 18–29 were included in the study. Study...
| Published in: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 33; no. 2; pp. 281 - 289 |
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| Main Authors: | , |
| Format: | Article |
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Springer Nature
Feb2025
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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=183974121&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 183974121 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: Feb2025 vid: 33 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 183974121 10.1007/s10389-023-02025-w ppf: 281 ppct: 8 formats: tig: atl: The effect of social media use on eating behaviors and physical activity among university students. aug: au: Güneş, Musa Demirer, Büşra 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 Social media Cross-sectional method Universities & colleges Eating disorders Psychology of college students Risk assessment Scientific observation Statistical sampling Questionnaires Sedentary lifestyles Screen time Physical activity sug: subj: Social media Cross-sectional method Universities & colleges Eating disorders Psychology of college students Türkiye Marketing Research and Public Opinion Polling Colleges, Universities, and Professional Schools Risk assessment Scientific observation Statistical sampling Questionnaires Sedentary lifestyles Screen time Physical activity keyword: Eating disorder Medical and Health Sciences Public Health and Health Services University students Eating disorder Medical and Health Sciences Public Health and Health Services University students ab: Aim: This cross-sectional study aimed to evaluate the relationship between the duration of social media use time, eating disorders, and physical activity level in university students. Subjects and methods: A total of 562 university students between the ages of 18–29 were included in the study. Study data were collected through an online survey system, including the survey form, some sociodemographic information, social media use information, Eating Attitude Test-26 (EAT-26) scale, and International Physical Activity Questionnaire-Short Form. The data were analyzed with the SPSS 27.0 statistical package program. Results: The mean duration of social media use of individuals (mean age 21.18 (2.04) years) participating in the study was 4.76 (3.34) hours/day. The participants' mean EAT-26 scale scores were 18.20 (13.73), and 37.5% of the individuals were at risk of eating disorders according to the cut-off score. At the same time, the physical activity levels of the individuals were low at 44.8%, moderate at 35.8%, and high at 19.4%. A very weak positive correlation was found between the duration of social media use and sedentariness (r = 0.174; p < 0.001). Conclusion: The study data shows that as the duration of social media use increases, the sedentary behaviors of individuals increase, and using social media accounts with visual content is associated with the risk of eating disorders. Considering these results, it is thought that to prevent unconscious social media use, education/seminars should be given to different age groups, including appropriate body image, healthy nutrition, and physical activity recommendations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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