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.)
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  Data: The relationship between social media addiction, insomnia, and depression in adolescents.
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  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)
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  Data: <searchLink fieldCode="JN" term="%22Psychology%2C+Health+%26+Medicine%22">Psychology, Health & Medicine</searchLink>. Feb2026, Vol. 31 Issue 2, p437-452. 16p.
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– Name: Abstract
  Label: Abstract
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  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]
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  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.)
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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
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            NameFull: Çiftci, Necmettin
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            NameFull: Sarman, Abdullah
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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