Prevalence of pathological internet use among adolescents in Europe: demographic and social factors.

Saved in:
Bibliographic Details
Title: Prevalence of pathological internet use among adolescents in Europe: demographic and social factors.
Authors: Durkee, Tony (AUTHOR), Kaess, Michael (AUTHOR), Carli, Vladimir (AUTHOR), Parzer, Peter (AUTHOR), Wasserman, Camilla (AUTHOR), Floderus, Birgitta (AUTHOR), Apter, Alan (AUTHOR), Balazs, Judit (AUTHOR), Barzilay, Shira (AUTHOR), Bobes, Julio (AUTHOR), Brunner, Romuald (AUTHOR), Corcoran, Paul (AUTHOR), Cosman, Doina (AUTHOR), Cotter, Padraig (AUTHOR), Despalins, Romain (AUTHOR), Graber, Nadja (AUTHOR), Guillemin, Francis (AUTHOR), Haring, Christian (AUTHOR), Kahn, Jean‐Pierre (AUTHOR), Mandelli, Laura (AUTHOR)
Source: Addiction. Dec2012, Vol. 107 Issue 12, p2210-2222. 13p. 8 Charts, 1 Graph.
Subjects: Compulsive behavior, Questionnaires, Regression analysis, Statistics, World Wide Web, Data analysis, Multiple regression analysis, Randomized controlled trials, Cross-sectional method, Descriptive statistics, Adolescence
Geographic Terms: Europe
Abstract: Aims To investigate the prevalence of pathological internet use ( PIU) and maladaptive internet use ( MIU) among adolescents in 11 European countries in relation to demographic, social factors and internet accessibility. Design Cross-sectional survey. Setting The 7th Framework European Union ( EU) funded project, Saving and Empowering Young Lives in Europe ( SEYLE), is a randomized controlled trial ( RCT) evaluating interventions for risk behaviours among adolescents in Austria, Estonia, France, Germany, Hungary, Ireland, Israel, Italy, Romania, Slovenia and Spain, with Sweden serving as the coordinating centre. Participants A total of 11 956 adolescents (female/male: 6731/5225; mean age: 14.9 ± 0.89) recruited from randomly selected schools within the 11 study sites. Measurements Internet users were classified by gender into three categories: adaptive, maladaptive and pathological, based on their score in the Young Diagnostic Questionnaire for Internet Addiction ( YDQ). Findings The overall prevalence of PIU was 4.4%; it was higher among males than females (5.2% versus 3.8%) and differed between countries (χ2 = 309.98; d.f. = 20; P < 0.001). PIU correlated significantly with mean hours online and male gender. The highest-ranked online activities were watching videos, frequenting chatrooms and social networking; significantly higher rates of playing single-user games were found in males and social networking in females. Living in metropolitan areas was associated with PIU. Students not living with a biological parent, low parental involvement and parental unemployment showed the highest relative risks of both MIU and PIU. Conclusions Across a range of countries in Europe, using the Young Diagnostic Questionnaire for Internet Addiction yields a prevalence of 'pathological internet use' of 4.4% among adolescents, but varies by country and gender; adolescents lacking emotional and psychological support are at highest risk. [ABSTRACT FROM AUTHOR]
Copyright of Addiction is the property of Wiley-Blackwell 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 83485231
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Prevalence of pathological internet use among adolescents in Europe: demographic and social factors.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Durkee%2C+Tony%22&quot;&gt;Durkee, Tony&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kaess%2C+Michael%22&quot;&gt;Kaess, Michael&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Carli%2C+Vladimir%22&quot;&gt;Carli, Vladimir&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Parzer%2C+Peter%22&quot;&gt;Parzer, Peter&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wasserman%2C+Camilla%22&quot;&gt;Wasserman, Camilla&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Floderus%2C+Birgitta%22&quot;&gt;Floderus, Birgitta&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Apter%2C+Alan%22&quot;&gt;Apter, Alan&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Balazs%2C+Judit%22&quot;&gt;Balazs, Judit&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Barzilay%2C+Shira%22&quot;&gt;Barzilay, Shira&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Bobes%2C+Julio%22&quot;&gt;Bobes, Julio&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Brunner%2C+Romuald%22&quot;&gt;Brunner, Romuald&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Corcoran%2C+Paul%22&quot;&gt;Corcoran, Paul&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Cosman%2C+Doina%22&quot;&gt;Cosman, Doina&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Cotter%2C+Padraig%22&quot;&gt;Cotter, Padraig&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Despalins%2C+Romain%22&quot;&gt;Despalins, Romain&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Graber%2C+Nadja%22&quot;&gt;Graber, Nadja&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Guillemin%2C+Francis%22&quot;&gt;Guillemin, Francis&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Haring%2C+Christian%22&quot;&gt;Haring, Christian&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kahn%2C+Jean‐Pierre%22&quot;&gt;Kahn, Jean‐Pierre&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Mandelli%2C+Laura%22&quot;&gt;Mandelli, Laura&lt;/searchLink&gt; (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Addiction%22&quot;&gt;Addiction&lt;/searchLink&gt;. Dec2012, Vol. 107 Issue 12, p2210-2222. 13p. 8 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Compulsive+behavior%22&quot;&gt;Compulsive behavior&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Questionnaires%22&quot;&gt;Questionnaires&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Regression+analysis%22&quot;&gt;Regression analysis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Statistics%22&quot;&gt;Statistics&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22World+Wide+Web%22&quot;&gt;World Wide Web&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Data+analysis%22&quot;&gt;Data analysis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Multiple+regression+analysis%22&quot;&gt;Multiple regression analysis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Randomized+controlled+trials%22&quot;&gt;Randomized controlled trials&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Cross-sectional+method%22&quot;&gt;Cross-sectional method&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Descriptive+statistics%22&quot;&gt;Descriptive statistics&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Adolescence%22&quot;&gt;Adolescence&lt;/searchLink&gt;
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Europe%22&quot;&gt;Europe&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Aims To investigate the prevalence of pathological internet use ( PIU) and maladaptive internet use ( MIU) among adolescents in 11 European countries in relation to demographic, social factors and internet accessibility. Design Cross-sectional survey. Setting The 7th Framework European Union ( EU) funded project, Saving and Empowering Young Lives in Europe ( SEYLE), is a randomized controlled trial ( RCT) evaluating interventions for risk behaviours among adolescents in Austria, Estonia, France, Germany, Hungary, Ireland, Israel, Italy, Romania, Slovenia and Spain, with Sweden serving as the coordinating centre. Participants A total of 11 956 adolescents (female/male: 6731/5225; mean age: 14.9 &#177; 0.89) recruited from randomly selected schools within the 11 study sites. Measurements Internet users were classified by gender into three categories: adaptive, maladaptive and pathological, based on their score in the Young Diagnostic Questionnaire for Internet Addiction ( YDQ). Findings The overall prevalence of PIU was 4.4%; it was higher among males than females (5.2% versus 3.8%) and differed between countries (χ2 = 309.98; d.f. = 20; P &lt; 0.001). PIU correlated significantly with mean hours online and male gender. The highest-ranked online activities were watching videos, frequenting chatrooms and social networking; significantly higher rates of playing single-user games were found in males and social networking in females. Living in metropolitan areas was associated with PIU. Students not living with a biological parent, low parental involvement and parental unemployment showed the highest relative risks of both MIU and PIU. Conclusions Across a range of countries in Europe, using the Young Diagnostic Questionnaire for Internet Addiction yields a prevalence of &#39;pathological internet use&#39; of 4.4% among adolescents, but varies by country and gender; adolescents lacking emotional and psychological support are at highest risk. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=83485231
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/j.1360-0443.2012.03946.x
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 2210
    Subjects:
      – SubjectFull: Compulsive behavior
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: World Wide Web
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Multiple regression analysis
        Type: general
      – SubjectFull: Randomized controlled trials
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Adolescence
        Type: general
      – SubjectFull: Europe
        Type: general
    Titles:
      – TitleFull: Prevalence of pathological internet use among adolescents in Europe: demographic and social factors.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Durkee, Tony
      – PersonEntity:
          Name:
            NameFull: Kaess, Michael
      – PersonEntity:
          Name:
            NameFull: Carli, Vladimir
      – PersonEntity:
          Name:
            NameFull: Parzer, Peter
      – PersonEntity:
          Name:
            NameFull: Wasserman, Camilla
      – PersonEntity:
          Name:
            NameFull: Floderus, Birgitta
      – PersonEntity:
          Name:
            NameFull: Apter, Alan
      – PersonEntity:
          Name:
            NameFull: Balazs, Judit
      – PersonEntity:
          Name:
            NameFull: Barzilay, Shira
      – PersonEntity:
          Name:
            NameFull: Bobes, Julio
      – PersonEntity:
          Name:
            NameFull: Brunner, Romuald
      – PersonEntity:
          Name:
            NameFull: Corcoran, Paul
      – PersonEntity:
          Name:
            NameFull: Cosman, Doina
      – PersonEntity:
          Name:
            NameFull: Cotter, Padraig
      – PersonEntity:
          Name:
            NameFull: Despalins, Romain
      – PersonEntity:
          Name:
            NameFull: Graber, Nadja
      – PersonEntity:
          Name:
            NameFull: Guillemin, Francis
      – PersonEntity:
          Name:
            NameFull: Haring, Christian
      – PersonEntity:
          Name:
            NameFull: Kahn, Jean‐Pierre
      – PersonEntity:
          Name:
            NameFull: Mandelli, Laura
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2012
              Type: published
              Y: 2012
          Identifiers:
            – Type: issn-print
              Value: 09652140
          Numbering:
            – Type: volume
              Value: 107
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Addiction
              Type: main
ResultId 1