The relationship between social media addiction, insomnia, and depression in adolescents.
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| Title: | The relationship between social media addiction, insomnia, and depression in adolescents. |
|---|---|
| Authors: | Çiftci, Necmettin (AUTHOR), Sarman, Abdullah (AUTHOR), Çoban, Mahmut (AUTHOR) |
| Source: | Psychology, Health & Medicine. Feb2026, Vol. 31 Issue 2, p437-452. 16p. |
| Subjects: | Mental depression risk factors, Social media, Risk assessment, Cross-sectional method, Statistical correlation, High schools, Statistical power analysis, Pediatric nurses, Nurses, Habit, Compulsive behavior, T-test (Statistics), Data analysis, Insomnia, Public sector, Kruskal-Wallis Test, Descriptive statistics, Mann Whitney U Test, Internet, Teenagers' conduct of life, Research, Research methodology, Cluster sampling, Statistics, School nursing, Data analysis software, Factor analysis, Time, Disease risk factors, Adolescence |
| Geographic Terms: | Turkey |
| Abstract: | This study aims to investigate the relationship between social media addiction, insomnia, and depression in adolescents. This correlational-cross-sectional-descriptive study involved 780 adolescents (mean age: 15.11 ± 1.20; 50.5% female) from high schools in a city center in Eastern Turkey. Data were gathered using a personal information form and validated scales, including the Bergen Social Media Addiction Scale, Bergen Insomnia Scale, and 6-item Kutcher Depression Scale. Data analysis was performed using SPSS 25.0, AMOS V 24.0, and G*Power 3.1 statistical package programs. It was determined that the mean score of adolescents' social media addiction was 15.81 ± 5.50, the mean score of insomnia was 16.98 ± 10.84 and the mean score of depression was 7.30 ± 4.47. A significant positive relationship was observed between social media addiction and both insomnia and depression. Additionally, insomnia and depression were significantly correlated. Social media usage time was positively associated with higher levels of social media addiction, insomnia, and depression. Depression was found to mediate the relationship between social media addiction and insomnia. Pediatric and school health nurses are encouraged to assess adolescents' social media usage habits, including time spent online, and develop monitoring and intervention programs. These programs can provide immediate support to address social media-related psychological and behavioral issues effectively. [ABSTRACT FROM AUTHOR] |
| Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd 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: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 191136543 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The relationship between social media addiction, insomnia, and depression in adolescents. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Çiftci%2C+Necmettin%22">Çiftci, Necmettin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sarman%2C+Abdullah%22">Sarman, Abdullah</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Çoban%2C+Mahmut%22">Çoban, Mahmut</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Psychology%2C+Health+%26+Medicine%22">Psychology, Health & Medicine</searchLink>. Feb2026, Vol. 31 Issue 2, p437-452. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mental+depression+risk+factors%22">Mental depression risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22High+schools%22">High schools</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+power+analysis%22">Statistical power analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Pediatric+nurses%22">Pediatric nurses</searchLink><br /><searchLink fieldCode="DE" term="%22Nurses%22">Nurses</searchLink><br /><searchLink fieldCode="DE" term="%22Habit%22">Habit</searchLink><br /><searchLink fieldCode="DE" term="%22Compulsive+behavior%22">Compulsive behavior</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Insomnia%22">Insomnia</searchLink><br /><searchLink fieldCode="DE" term="%22Public+sector%22">Public sector</searchLink><br /><searchLink fieldCode="DE" term="%22Kruskal-Wallis+Test%22">Kruskal-Wallis Test</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Mann+Whitney+U+Test%22">Mann Whitney U Test</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Teenagers'+conduct+of+life%22">Teenagers' conduct of life</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+sampling%22">Cluster sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22School+nursing%22">School nursing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Time%22">Time</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+risk+factors%22">Disease risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescence%22">Adolescence</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Turkey%22">Turkey</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study aims to investigate the relationship between social media addiction, insomnia, and depression in adolescents. This correlational-cross-sectional-descriptive study involved 780 adolescents (mean age: 15.11 ± 1.20; 50.5% female) from high schools in a city center in Eastern Turkey. Data were gathered using a personal information form and validated scales, including the Bergen Social Media Addiction Scale, Bergen Insomnia Scale, and 6-item Kutcher Depression Scale. Data analysis was performed using SPSS 25.0, AMOS V 24.0, and G*Power 3.1 statistical package programs. It was determined that the mean score of adolescents' social media addiction was 15.81 ± 5.50, the mean score of insomnia was 16.98 ± 10.84 and the mean score of depression was 7.30 ± 4.47. A significant positive relationship was observed between social media addiction and both insomnia and depression. Additionally, insomnia and depression were significantly correlated. Social media usage time was positively associated with higher levels of social media addiction, insomnia, and depression. Depression was found to mediate the relationship between social media addiction and insomnia. Pediatric and school health nurses are encouraged to assess adolescents' social media usage habits, including time spent online, and develop monitoring and intervention programs. These programs can provide immediate support to address social media-related psychological and behavioral issues effectively. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=191136543 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/13548506.2025.2465659 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 437 Subjects: – SubjectFull: Mental depression risk factors Type: general – SubjectFull: Social media Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Statistical correlation Type: general – SubjectFull: High schools Type: general – SubjectFull: Statistical power analysis Type: general – SubjectFull: Pediatric nurses Type: general – SubjectFull: Nurses Type: general – SubjectFull: Habit Type: general – SubjectFull: Compulsive behavior Type: general – SubjectFull: T-test (Statistics) Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Insomnia Type: general – SubjectFull: Public sector Type: general – SubjectFull: Kruskal-Wallis Test Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Mann Whitney U Test Type: general – SubjectFull: Internet Type: general – SubjectFull: Teenagers' conduct of life Type: general – SubjectFull: Research Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Cluster sampling Type: general – SubjectFull: Statistics Type: general – SubjectFull: School nursing Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Factor analysis Type: general – SubjectFull: Time Type: general – SubjectFull: Disease risk factors Type: general – SubjectFull: Adolescence Type: general – SubjectFull: Turkey Type: general Titles: – TitleFull: The relationship between social media addiction, insomnia, and depression in adolescents. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Çiftci, Necmettin – PersonEntity: Name: NameFull: Sarman, Abdullah – PersonEntity: Name: NameFull: Çoban, Mahmut IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13548506 Numbering: – Type: volume Value: 31 – Type: issue Value: 2 Titles: – TitleFull: Psychology, Health & Medicine Type: main |
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