View in EDS PDF Full Text

A 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents.

Saved in:
Bibliographic Details
Title: A 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents.
Authors: Strittmatter, Esther, Parzer, Peter, Brunner, Romuald, Fischer, Gloria, Durkee, Tony, Carli, Vladimir, Hoven, Christina, Wasserman, Camilla, Sarchiapone, Marco, Wasserman, Danuta, Resch, Franz, Kaess, Michael
Source: European Child & Adolescent Psychiatry. Jul2016, Vol. 25 Issue 7, p725-734. 10p. 2 Diagrams, 3 Charts.
Subjects: Anxiety testing, Statistical correlation, Internet, Longitudinal method, Classification of mental disorders, Questionnaires, Statistical sampling, Scale analysis (Psychology), Self-evaluation, Self-report inventories, Students, Suicidal behavior, Mathematical variables, Logistic regression analysis, Multiple regression analysis, Relative medical risk, Suicidal ideation, Cross-sectional method, Internet addiction in adolescence, Data analysis software, Descriptive statistics, Odds ratio, Adolescence
Geographic Terms: Germany
Abstract: Longitudinal studies of prospective predictors for pathological Internet use (PIU) in adolescents as well as its course are lacking. This three-wave longitudinal study was conducted within the framework of the European Union-funded project 'Saving and Empowering Young Lives in Europe' over a 2-year period. The sample consisted of 1444 students at the baseline investigation (T0); 1202 students after 1 year (T1); and 515 students after 2 years (T2). Structured self-report questionnaires were administered at all three time points. PIU was assessed using the Young Diagnostic Questionnaire (YDQ). In addition, demographic (i.e., gender), social (i.e., parental involvement), psychological (i.e., emotional problems), and Internet use-related factors (i.e., online activities) were assessed as prospective predictors. The prevalence of PIU was 4.3 % at T0, 2.7 % at T1 and 3.1 % at T2. However, only 3 students (0.58 %) had persistent categorical PIU (YDQ score of ≥5) over the 2-year period. In univariate models, a variety of variables that have been previously identified in cross-sectional investigations predicted PIU at T2. However, multivariate regression demonstrated that only previous PIU symptoms and emotional problems were significant predictors of PIU 2 years later (adjusted R 0.23). The stability of categorical PIU in adolescents over 2 years was lower than previously reported. However, current PIU symptoms were the best predictor of later PIU; emotional symptoms also predicted PIU over and above the influence of previous problematic Internet use. Both PIU symptoms and emotional problems may contribute to the vicious cycle that supports the perpetuation of PIU. [ABSTRACT FROM AUTHOR]
Copyright of European Child & Adolescent Psychiatry 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: Psychology and Behavioral Sciences Collection
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 116621857
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Strittmatter%2C+Esther%22">Strittmatter, Esther</searchLink><br /><searchLink fieldCode="AR" term="%22Parzer%2C+Peter%22">Parzer, Peter</searchLink><br /><searchLink fieldCode="AR" term="%22Brunner%2C+Romuald%22">Brunner, Romuald</searchLink><br /><searchLink fieldCode="AR" term="%22Fischer%2C+Gloria%22">Fischer, Gloria</searchLink><br /><searchLink fieldCode="AR" term="%22Durkee%2C+Tony%22">Durkee, Tony</searchLink><br /><searchLink fieldCode="AR" term="%22Carli%2C+Vladimir%22">Carli, Vladimir</searchLink><br /><searchLink fieldCode="AR" term="%22Hoven%2C+Christina%22">Hoven, Christina</searchLink><br /><searchLink fieldCode="AR" term="%22Wasserman%2C+Camilla%22">Wasserman, Camilla</searchLink><br /><searchLink fieldCode="AR" term="%22Sarchiapone%2C+Marco%22">Sarchiapone, Marco</searchLink><br /><searchLink fieldCode="AR" term="%22Wasserman%2C+Danuta%22">Wasserman, Danuta</searchLink><br /><searchLink fieldCode="AR" term="%22Resch%2C+Franz%22">Resch, Franz</searchLink><br /><searchLink fieldCode="AR" term="%22Kaess%2C+Michael%22">Kaess, Michael</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22European+Child+%26+Adolescent+Psychiatry%22">European Child & Adolescent Psychiatry</searchLink>. Jul2016, Vol. 25 Issue 7, p725-734. 10p. 2 Diagrams, 3 Charts.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Anxiety+testing%22">Anxiety testing</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+of+mental+disorders%22">Classification of mental disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Scale+analysis+%28Psychology%29%22">Scale analysis (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Self-evaluation%22">Self-evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Self-report+inventories%22">Self-report inventories</searchLink><br /><searchLink fieldCode="DE" term="%22Students%22">Students</searchLink><br /><searchLink fieldCode="DE" term="%22Suicidal+behavior%22">Suicidal behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+variables%22">Mathematical variables</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Relative+medical+risk%22">Relative medical risk</searchLink><br /><searchLink fieldCode="DE" term="%22Suicidal+ideation%22">Suicidal ideation</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+addiction+in+adolescence%22">Internet addiction in adolescence</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescence%22">Adolescence</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Germany%22">Germany</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Longitudinal studies of prospective predictors for pathological Internet use (PIU) in adolescents as well as its course are lacking. This three-wave longitudinal study was conducted within the framework of the European Union-funded project 'Saving and Empowering Young Lives in Europe' over a 2-year period. The sample consisted of 1444 students at the baseline investigation (T0); 1202 students after 1 year (T1); and 515 students after 2 years (T2). Structured self-report questionnaires were administered at all three time points. PIU was assessed using the Young Diagnostic Questionnaire (YDQ). In addition, demographic (i.e., gender), social (i.e., parental involvement), psychological (i.e., emotional problems), and Internet use-related factors (i.e., online activities) were assessed as prospective predictors. The prevalence of PIU was 4.3 % at T0, 2.7 % at T1 and 3.1 % at T2. However, only 3 students (0.58 %) had persistent categorical PIU (YDQ score of ≥5) over the 2-year period. In univariate models, a variety of variables that have been previously identified in cross-sectional investigations predicted PIU at T2. However, multivariate regression demonstrated that only previous PIU symptoms and emotional problems were significant predictors of PIU 2 years later (adjusted R 0.23). The stability of categorical PIU in adolescents over 2 years was lower than previously reported. However, current PIU symptoms were the best predictor of later PIU; emotional symptoms also predicted PIU over and above the influence of previous problematic Internet use. Both PIU symptoms and emotional problems may contribute to the vicious cycle that supports the perpetuation of PIU. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Child & Adolescent Psychiatry 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=116621857
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00787-015-0779-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 725
    Subjects:
      – SubjectFull: Anxiety testing
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Internet
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Classification of mental disorders
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Statistical sampling
        Type: general
      – SubjectFull: Scale analysis (Psychology)
        Type: general
      – SubjectFull: Self-evaluation
        Type: general
      – SubjectFull: Self-report inventories
        Type: general
      – SubjectFull: Students
        Type: general
      – SubjectFull: Suicidal behavior
        Type: general
      – SubjectFull: Mathematical variables
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Multiple regression analysis
        Type: general
      – SubjectFull: Relative medical risk
        Type: general
      – SubjectFull: Suicidal ideation
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Internet addiction in adolescence
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Odds ratio
        Type: general
      – SubjectFull: Adolescence
        Type: general
      – SubjectFull: Germany
        Type: general
    Titles:
      – TitleFull: A 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Strittmatter, Esther
      – PersonEntity:
          Name:
            NameFull: Parzer, Peter
      – PersonEntity:
          Name:
            NameFull: Brunner, Romuald
      – PersonEntity:
          Name:
            NameFull: Fischer, Gloria
      – PersonEntity:
          Name:
            NameFull: Durkee, Tony
      – PersonEntity:
          Name:
            NameFull: Carli, Vladimir
      – PersonEntity:
          Name:
            NameFull: Hoven, Christina
      – PersonEntity:
          Name:
            NameFull: Wasserman, Camilla
      – PersonEntity:
          Name:
            NameFull: Sarchiapone, Marco
      – PersonEntity:
          Name:
            NameFull: Wasserman, Danuta
      – PersonEntity:
          Name:
            NameFull: Resch, Franz
      – PersonEntity:
          Name:
            NameFull: Kaess, Michael
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2016
              Type: published
              Y: 2016
          Identifiers:
            – Type: issn-print
              Value: 10188827
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: European Child & Adolescent Psychiatry
              Type: main
ResultId 1