Internet Addiction and Social Media Addiction in Medical Faculty Students: Prevalence, Related Factors, and Association with Life Satisfaction.
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| Title: | Internet Addiction and Social Media Addiction in Medical Faculty Students: Prevalence, Related Factors, and Association with Life Satisfaction. |
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| Authors: | Sayili, Ugurcan1,2 ugurcan.sayili@iuc.edu.tr, Pirdal, Betul Zehra1, Kara, Busra1, Acar, Nurefsan3, Camcioglu, Emirhan3, Yilmaz, Erkin3, Can, Gunay1, Erginoz, Ethem1 |
| Source: | Journal of Community Health. Apr2023, Vol. 48 Issue 2, p189-198. 10p. 4 Charts, 1 Graph. |
| Subject Terms: | *Psychology of medical students, *Health education, *Social media, *Self-evaluation, *Exercise, Addictions -- Risk factors, Compulsive behavior -- Risk factors, Lifestyles, Cluster sampling, Confidence intervals, Cross-sectional method, Multiple regression analysis, Satisfaction, Fisher exact test, Mann Whitney U Test, Questionnaires, Disease prevalence, Descriptive statistics, Chi-squared test, Internet addiction, Sociodemographic factors, Data analysis software, Odds ratio, Compulsive behavior |
| Geographic Terms: | Türkiye |
| Abstract: | Internet addiction is a growing behavioral health problem in modern societies. In this study, we aimed to determine the prevalence of internet addiction (IA) and social media addiction (SMA) and their relationship with sociodemographic factors, lifestyle habits, and internet usage patterns among medical students. This cross-sectional study was conducted among 280 medical students in a medical faculty, in Istanbul. Self-report questionnaires comprised sociodemographic status, lifestyle habits, internet and social media usage behavior, the Young Internet Addiction Test-short form (s-IAT), and the Bergen Social media addiction scale. The total prevalence of IA was 16.1% (11.8–20.4%), 17.2% (12.8–21.7%) in males and 14.8% (10.7–19.0%) in females. The total prevalence of SMA was 6.1% (3.3–8.9%), 4.8% (2.3–7.3%) in males and 7.4% (4.3–10.5%) in females. No significant difference was found between the sexes in terms of IA and SMA. IA was higher in grade 3 students than in grade 6 students. Multivariate logistic regression analyses showed that reading books at least once per month, high life satisfaction, performing physical activity at least twice per week, and using the internet for communication purposes were independent preventive factors for IA. The current study shows that IA and SMA are common in medical school students. Moreover, IA is associated with socioeconomic characteristics and lifestyle habits such as reading books, life satisfaction, and physical activity. To protect medical school students from IA and develop healthy behaviors, it is necessary to develop prevention strategies and design and implement awareness and education programs. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Community Health is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 162756042 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Internet Addiction and Social Media Addiction in Medical Faculty Students: Prevalence, Related Factors, and Association with Life Satisfaction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sayili%2C+Ugurcan%22">Sayili, Ugurcan</searchLink><relatesTo>1,2</relatesTo><i> ugurcan.sayili@iuc.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Pirdal%2C+Betul+Zehra%22">Pirdal, Betul Zehra</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kara%2C+Busra%22">Kara, Busra</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Acar%2C+Nurefsan%22">Acar, Nurefsan</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Camcioglu%2C+Emirhan%22">Camcioglu, Emirhan</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yilmaz%2C+Erkin%22">Yilmaz, Erkin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Can%2C+Gunay%22">Can, Gunay</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Erginoz%2C+Ethem%22">Erginoz, Ethem</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Community+Health%22">Journal of Community Health</searchLink>. Apr2023, Vol. 48 Issue 2, p189-198. 10p. 4 Charts, 1 Graph. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Psychology+of+medical+students%22">Psychology of medical students</searchLink><br />*<searchLink fieldCode="DE" term="%22Health+education%22">Health education</searchLink><br />*<searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br />*<searchLink fieldCode="DE" term="%22Self-evaluation%22">Self-evaluation</searchLink><br />*<searchLink fieldCode="DE" term="%22Exercise%22">Exercise</searchLink><br /><searchLink fieldCode="DE" term="%22Addictions+--+Risk+factors%22">Addictions -- Risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Compulsive+behavior+--+Risk+factors%22">Compulsive behavior -- Risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Lifestyles%22">Lifestyles</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+sampling%22">Cluster sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Fisher+exact+test%22">Fisher exact test</searchLink><br /><searchLink fieldCode="DE" term="%22Mann+Whitney+U+Test%22">Mann Whitney U Test</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+prevalence%22">Disease prevalence</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+addiction%22">Internet addiction</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Compulsive+behavior%22">Compulsive behavior</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Türkiye%22">Türkiye</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Internet addiction is a growing behavioral health problem in modern societies. In this study, we aimed to determine the prevalence of internet addiction (IA) and social media addiction (SMA) and their relationship with sociodemographic factors, lifestyle habits, and internet usage patterns among medical students. This cross-sectional study was conducted among 280 medical students in a medical faculty, in Istanbul. Self-report questionnaires comprised sociodemographic status, lifestyle habits, internet and social media usage behavior, the Young Internet Addiction Test-short form (s-IAT), and the Bergen Social media addiction scale. The total prevalence of IA was 16.1% (11.8–20.4%), 17.2% (12.8–21.7%) in males and 14.8% (10.7–19.0%) in females. The total prevalence of SMA was 6.1% (3.3–8.9%), 4.8% (2.3–7.3%) in males and 7.4% (4.3–10.5%) in females. No significant difference was found between the sexes in terms of IA and SMA. IA was higher in grade 3 students than in grade 6 students. Multivariate logistic regression analyses showed that reading books at least once per month, high life satisfaction, performing physical activity at least twice per week, and using the internet for communication purposes were independent preventive factors for IA. The current study shows that IA and SMA are common in medical school students. Moreover, IA is associated with socioeconomic characteristics and lifestyle habits such as reading books, life satisfaction, and physical activity. To protect medical school students from IA and develop healthy behaviors, it is necessary to develop prevention strategies and design and implement awareness and education programs. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Community Health is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10900-022-01153-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 189 Subjects: – SubjectFull: Psychology of medical students Type: general – SubjectFull: Health education Type: general – SubjectFull: Social media Type: general – SubjectFull: Self-evaluation Type: general – SubjectFull: Exercise Type: general – SubjectFull: Addictions -- Risk factors Type: general – SubjectFull: Compulsive behavior -- Risk factors Type: general – SubjectFull: Lifestyles Type: general – SubjectFull: Cluster sampling Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Satisfaction Type: general – SubjectFull: Fisher exact test Type: general – SubjectFull: Mann Whitney U Test Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Disease prevalence Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Chi-squared test Type: general – SubjectFull: Internet addiction Type: general – SubjectFull: Sociodemographic factors Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Compulsive behavior Type: general – SubjectFull: Türkiye Type: general Titles: – TitleFull: Internet Addiction and Social Media Addiction in Medical Faculty Students: Prevalence, Related Factors, and Association with Life Satisfaction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sayili, Ugurcan – PersonEntity: Name: NameFull: Pirdal, Betul Zehra – PersonEntity: Name: NameFull: Kara, Busra – PersonEntity: Name: NameFull: Acar, Nurefsan – PersonEntity: Name: NameFull: Camcioglu, Emirhan – PersonEntity: Name: NameFull: Yilmaz, Erkin – PersonEntity: Name: NameFull: Can, Gunay – PersonEntity: Name: NameFull: Erginoz, Ethem IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00945145 Numbering: – Type: volume Value: 48 – Type: issue Value: 2 Titles: – TitleFull: Journal of Community Health Type: main |
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