Prevalence of pathological internet use among adolescents in Europe: demographic and social factors
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) fund...
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Veröffentlicht in: | Addiction (Abingdon, England) England), 2012-12, Vol.107 (12), p.2210-2222 |
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creator | Durkee, Tony Kaess, Michael Carli, Vladimir Parzer, Peter Wasserman, Camilla Floderus, Birgitta Apter, Alan Balazs, Judit Barzilay, Shira Bobes, Julio Brunner, Romuald Corcoran, Paul Cosman, Doina Cotter, Padraig Despalins, Romain Graber, Nadja Guillemin, Francis Haring, Christian Kahn, Jean-Pierre Mandelli, Laura Marusic, Dragan Mészáros, Gergely Musa, George J. Postuvan, Vita Resch, Franz Saiz, Pilar A. Sisask, Merike Varnik, Airi Sarchiapone, Marco Hoven, Christina W. Wasserman, Danuta |
description | 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 |
doi_str_mv | 10.1111/j.1360-0443.2012.03946.x |
format | Article |
fullrecord | <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_swepub_ki_se_536940</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1283641432</sourcerecordid><originalsourceid>FETCH-LOGICAL-i6476-93cbaedf21936ef803c18f5baa9cf0891107970cf60e6ffbfd880911a44746f43</originalsourceid><addsrcrecordid>eNqNkk1vEzEQhi0EoiHwF5AlhMRlg7_WayNxqJLSIkXAgY-j5Xjt1OlmvbV3afrv6yUhlbgQXzyaefxqZvwCADGa4Xzeb2aYclQgxuiMIExmiErGZ7snYHIsPAUTJHlZEMzQGXiR0gYhVAnJnoMzQviYJhNgvkX7Wze2NRYGBzvdX4cmrL3RDfRtb2NrezgkC_U2tGuo69DYZGzbp1yGF0MMnf0Aa7sN66i7a2-gbmuYgvFZwGnTh5hegmdON8m-OtxT8OPTxff5VbH8evl5fr4sPGcVLyQ1K21rR7Ck3DqBqMHClSutpXFISIxRJStkHEeWO7dytRAoZzVjFeOO0Sko9rrpznbDSnXRb3W8V0F7dUjd5MiqknLJUObf7fkuhtvBpl5tfZ6taXRrw5AUJoKNG-PsFJRyRigtT0Qxo-QElFeI5A7k_1EsuMSlFKPqm3_QTRhimzefBZEoERG5hSl4faCG1dbWx2X9tUYG3h4AnbIbXNSt8emR4xxzIkfu45678429P9YxUqNV1UaNjlSjI9VoVfXHqmqnzheLMXr8NZ96uzu-1_FG8YpWpfr15VIt6M9qKauFmtMHusbopw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1208502828</pqid></control><display><type>article</type><title>Prevalence of pathological internet use among adolescents in Europe: demographic and social factors</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>PAIS Index</source><source>SWEPUB Freely available online</source><source>Sociological Abstracts</source><creator>Durkee, Tony ; Kaess, Michael ; Carli, Vladimir ; Parzer, Peter ; Wasserman, Camilla ; Floderus, Birgitta ; Apter, Alan ; Balazs, Judit ; Barzilay, Shira ; Bobes, Julio ; Brunner, Romuald ; Corcoran, Paul ; Cosman, Doina ; Cotter, Padraig ; Despalins, Romain ; Graber, Nadja ; Guillemin, Francis ; Haring, Christian ; Kahn, Jean-Pierre ; Mandelli, Laura ; Marusic, Dragan ; Mészáros, Gergely ; Musa, George J. ; Postuvan, Vita ; Resch, Franz ; Saiz, Pilar A. ; Sisask, Merike ; Varnik, Airi ; Sarchiapone, Marco ; Hoven, Christina W. ; Wasserman, Danuta</creator><creatorcontrib>Durkee, Tony ; Kaess, Michael ; Carli, Vladimir ; Parzer, Peter ; Wasserman, Camilla ; Floderus, Birgitta ; Apter, Alan ; Balazs, Judit ; Barzilay, Shira ; Bobes, Julio ; Brunner, Romuald ; Corcoran, Paul ; Cosman, Doina ; Cotter, Padraig ; Despalins, Romain ; Graber, Nadja ; Guillemin, Francis ; Haring, Christian ; Kahn, Jean-Pierre ; Mandelli, Laura ; Marusic, Dragan ; Mészáros, Gergely ; Musa, George J. ; Postuvan, Vita ; Resch, Franz ; Saiz, Pilar A. ; Sisask, Merike ; Varnik, Airi ; Sarchiapone, Marco ; Hoven, Christina W. ; Wasserman, Danuta</creatorcontrib><description>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.</description><identifier>ISSN: 0965-2140</identifier><identifier>EISSN: 1360-0443</identifier><identifier>DOI: 10.1111/j.1360-0443.2012.03946.x</identifier><identifier>PMID: 22621402</identifier><identifier>CODEN: ADICE5</identifier><language>eng</language><publisher>Oxford: Blackwell Publishing Ltd</publisher><subject>Addiction ; Addictive behaviors ; Adolescent ; Adolescents ; Adult and adolescent clinical studies ; Behavior, Addictive - epidemiology ; Biological and medical sciences ; Cross-sectional analysis ; Cross-Sectional Studies ; Demographics ; Drug addiction ; Drug addicts ; Europe ; Europe - epidemiology ; European Union ; Female ; Females ; France ; Humans ; Internet ; Internet - utilization ; internet addiction ; Italy ; Male ; Males ; Medical sciences ; mental health ; Metropolitan areas ; Miscellaneous ; Parents ; pathological internet use ; Pathology ; Prevalence ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Questionnaires ; Residence Characteristics - statistics & numerical data ; Risk ; Risk factors ; risk-behaviors ; Saving ; school-based prevention ; Schools ; Sex ; Sex Distribution ; SEYLE ; Social psychology ; Socioeconomic Factors ; Students ; Surveys and Questionnaires ; Teenagers ; Time Factors ; Unemployment</subject><ispartof>Addiction (Abingdon, England), 2012-12, Vol.107 (12), p.2210-2222</ispartof><rights>2012 The Authors, Addiction © 2012 Society for the Study of Addiction</rights><rights>2015 INIST-CNRS</rights><rights>2012 The Authors, Addiction © 2012 Society for the Study of Addiction.</rights><rights>2012 Society for the Study of Addiction</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1360-0443.2012.03946.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1360-0443.2012.03946.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,551,777,781,882,1412,27846,27905,27906,33756,45555,45556</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26616292$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22621402$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:125624978$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Durkee, Tony</creatorcontrib><creatorcontrib>Kaess, Michael</creatorcontrib><creatorcontrib>Carli, Vladimir</creatorcontrib><creatorcontrib>Parzer, Peter</creatorcontrib><creatorcontrib>Wasserman, Camilla</creatorcontrib><creatorcontrib>Floderus, Birgitta</creatorcontrib><creatorcontrib>Apter, Alan</creatorcontrib><creatorcontrib>Balazs, Judit</creatorcontrib><creatorcontrib>Barzilay, Shira</creatorcontrib><creatorcontrib>Bobes, Julio</creatorcontrib><creatorcontrib>Brunner, Romuald</creatorcontrib><creatorcontrib>Corcoran, Paul</creatorcontrib><creatorcontrib>Cosman, Doina</creatorcontrib><creatorcontrib>Cotter, Padraig</creatorcontrib><creatorcontrib>Despalins, Romain</creatorcontrib><creatorcontrib>Graber, Nadja</creatorcontrib><creatorcontrib>Guillemin, Francis</creatorcontrib><creatorcontrib>Haring, Christian</creatorcontrib><creatorcontrib>Kahn, Jean-Pierre</creatorcontrib><creatorcontrib>Mandelli, Laura</creatorcontrib><creatorcontrib>Marusic, Dragan</creatorcontrib><creatorcontrib>Mészáros, Gergely</creatorcontrib><creatorcontrib>Musa, George J.</creatorcontrib><creatorcontrib>Postuvan, Vita</creatorcontrib><creatorcontrib>Resch, Franz</creatorcontrib><creatorcontrib>Saiz, Pilar A.</creatorcontrib><creatorcontrib>Sisask, Merike</creatorcontrib><creatorcontrib>Varnik, Airi</creatorcontrib><creatorcontrib>Sarchiapone, Marco</creatorcontrib><creatorcontrib>Hoven, Christina W.</creatorcontrib><creatorcontrib>Wasserman, Danuta</creatorcontrib><title>Prevalence of pathological internet use among adolescents in Europe: demographic and social factors</title><title>Addiction (Abingdon, England)</title><addtitle>Addiction</addtitle><description>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.</description><subject>Addiction</subject><subject>Addictive behaviors</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult and adolescent clinical studies</subject><subject>Behavior, Addictive - epidemiology</subject><subject>Biological and medical sciences</subject><subject>Cross-sectional analysis</subject><subject>Cross-Sectional Studies</subject><subject>Demographics</subject><subject>Drug addiction</subject><subject>Drug addicts</subject><subject>Europe</subject><subject>Europe - epidemiology</subject><subject>European Union</subject><subject>Female</subject><subject>Females</subject><subject>France</subject><subject>Humans</subject><subject>Internet</subject><subject>Internet - utilization</subject><subject>internet addiction</subject><subject>Italy</subject><subject>Male</subject><subject>Males</subject><subject>Medical sciences</subject><subject>mental health</subject><subject>Metropolitan areas</subject><subject>Miscellaneous</subject><subject>Parents</subject><subject>pathological internet use</subject><subject>Pathology</subject><subject>Prevalence</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Questionnaires</subject><subject>Residence Characteristics - statistics & numerical data</subject><subject>Risk</subject><subject>Risk factors</subject><subject>risk-behaviors</subject><subject>Saving</subject><subject>school-based prevention</subject><subject>Schools</subject><subject>Sex</subject><subject>Sex Distribution</subject><subject>SEYLE</subject><subject>Social psychology</subject><subject>Socioeconomic Factors</subject><subject>Students</subject><subject>Surveys and Questionnaires</subject><subject>Teenagers</subject><subject>Time Factors</subject><subject>Unemployment</subject><issn>0965-2140</issn><issn>1360-0443</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BHHNA</sourceid><sourceid>7TQ</sourceid><sourceid>D8T</sourceid><recordid>eNqNkk1vEzEQhi0EoiHwF5AlhMRlg7_WayNxqJLSIkXAgY-j5Xjt1OlmvbV3afrv6yUhlbgQXzyaefxqZvwCADGa4Xzeb2aYclQgxuiMIExmiErGZ7snYHIsPAUTJHlZEMzQGXiR0gYhVAnJnoMzQviYJhNgvkX7Wze2NRYGBzvdX4cmrL3RDfRtb2NrezgkC_U2tGuo69DYZGzbp1yGF0MMnf0Aa7sN66i7a2-gbmuYgvFZwGnTh5hegmdON8m-OtxT8OPTxff5VbH8evl5fr4sPGcVLyQ1K21rR7Ck3DqBqMHClSutpXFISIxRJStkHEeWO7dytRAoZzVjFeOO0Sko9rrpznbDSnXRb3W8V0F7dUjd5MiqknLJUObf7fkuhtvBpl5tfZ6taXRrw5AUJoKNG-PsFJRyRigtT0Qxo-QElFeI5A7k_1EsuMSlFKPqm3_QTRhimzefBZEoERG5hSl4faCG1dbWx2X9tUYG3h4AnbIbXNSt8emR4xxzIkfu45678429P9YxUqNV1UaNjlSjI9VoVfXHqmqnzheLMXr8NZ96uzu-1_FG8YpWpfr15VIt6M9qKauFmtMHusbopw</recordid><startdate>201212</startdate><enddate>201212</enddate><creator>Durkee, Tony</creator><creator>Kaess, Michael</creator><creator>Carli, Vladimir</creator><creator>Parzer, Peter</creator><creator>Wasserman, Camilla</creator><creator>Floderus, Birgitta</creator><creator>Apter, Alan</creator><creator>Balazs, Judit</creator><creator>Barzilay, Shira</creator><creator>Bobes, Julio</creator><creator>Brunner, Romuald</creator><creator>Corcoran, Paul</creator><creator>Cosman, Doina</creator><creator>Cotter, Padraig</creator><creator>Despalins, Romain</creator><creator>Graber, Nadja</creator><creator>Guillemin, Francis</creator><creator>Haring, Christian</creator><creator>Kahn, Jean-Pierre</creator><creator>Mandelli, Laura</creator><creator>Marusic, Dragan</creator><creator>Mészáros, Gergely</creator><creator>Musa, George J.</creator><creator>Postuvan, Vita</creator><creator>Resch, Franz</creator><creator>Saiz, Pilar A.</creator><creator>Sisask, Merike</creator><creator>Varnik, Airi</creator><creator>Sarchiapone, Marco</creator><creator>Hoven, Christina W.</creator><creator>Wasserman, Danuta</creator><general>Blackwell Publishing Ltd</general><general>Blackwell</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QG</scope><scope>7TK</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>7U3</scope><scope>BHHNA</scope><scope>7U4</scope><scope>DWI</scope><scope>WZK</scope><scope>7TQ</scope><scope>DHY</scope><scope>DON</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope></search><sort><creationdate>201212</creationdate><title>Prevalence of pathological internet use among adolescents in Europe: demographic and social factors</title><author>Durkee, Tony ; Kaess, Michael ; Carli, Vladimir ; Parzer, Peter ; Wasserman, Camilla ; Floderus, Birgitta ; Apter, Alan ; Balazs, Judit ; Barzilay, Shira ; Bobes, Julio ; Brunner, Romuald ; Corcoran, Paul ; Cosman, Doina ; Cotter, Padraig ; Despalins, Romain ; Graber, Nadja ; Guillemin, Francis ; Haring, Christian ; Kahn, Jean-Pierre ; Mandelli, Laura ; Marusic, Dragan ; Mészáros, Gergely ; Musa, George J. ; Postuvan, Vita ; Resch, Franz ; Saiz, Pilar A. ; Sisask, Merike ; Varnik, Airi ; Sarchiapone, Marco ; Hoven, Christina W. ; Wasserman, Danuta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i6476-93cbaedf21936ef803c18f5baa9cf0891107970cf60e6ffbfd880911a44746f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Addiction</topic><topic>Addictive behaviors</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adult and adolescent clinical studies</topic><topic>Behavior, Addictive - epidemiology</topic><topic>Biological and medical sciences</topic><topic>Cross-sectional analysis</topic><topic>Cross-Sectional Studies</topic><topic>Demographics</topic><topic>Drug addiction</topic><topic>Drug addicts</topic><topic>Europe</topic><topic>Europe - epidemiology</topic><topic>European Union</topic><topic>Female</topic><topic>Females</topic><topic>France</topic><topic>Humans</topic><topic>Internet</topic><topic>Internet - utilization</topic><topic>internet addiction</topic><topic>Italy</topic><topic>Male</topic><topic>Males</topic><topic>Medical sciences</topic><topic>mental health</topic><topic>Metropolitan areas</topic><topic>Miscellaneous</topic><topic>Parents</topic><topic>pathological internet use</topic><topic>Pathology</topic><topic>Prevalence</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Questionnaires</topic><topic>Residence Characteristics - statistics & numerical data</topic><topic>Risk</topic><topic>Risk factors</topic><topic>risk-behaviors</topic><topic>Saving</topic><topic>school-based prevention</topic><topic>Schools</topic><topic>Sex</topic><topic>Sex Distribution</topic><topic>SEYLE</topic><topic>Social psychology</topic><topic>Socioeconomic Factors</topic><topic>Students</topic><topic>Surveys and Questionnaires</topic><topic>Teenagers</topic><topic>Time Factors</topic><topic>Unemployment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Durkee, Tony</creatorcontrib><creatorcontrib>Kaess, Michael</creatorcontrib><creatorcontrib>Carli, Vladimir</creatorcontrib><creatorcontrib>Parzer, Peter</creatorcontrib><creatorcontrib>Wasserman, Camilla</creatorcontrib><creatorcontrib>Floderus, Birgitta</creatorcontrib><creatorcontrib>Apter, Alan</creatorcontrib><creatorcontrib>Balazs, Judit</creatorcontrib><creatorcontrib>Barzilay, Shira</creatorcontrib><creatorcontrib>Bobes, Julio</creatorcontrib><creatorcontrib>Brunner, Romuald</creatorcontrib><creatorcontrib>Corcoran, Paul</creatorcontrib><creatorcontrib>Cosman, Doina</creatorcontrib><creatorcontrib>Cotter, Padraig</creatorcontrib><creatorcontrib>Despalins, Romain</creatorcontrib><creatorcontrib>Graber, Nadja</creatorcontrib><creatorcontrib>Guillemin, Francis</creatorcontrib><creatorcontrib>Haring, Christian</creatorcontrib><creatorcontrib>Kahn, Jean-Pierre</creatorcontrib><creatorcontrib>Mandelli, Laura</creatorcontrib><creatorcontrib>Marusic, Dragan</creatorcontrib><creatorcontrib>Mészáros, Gergely</creatorcontrib><creatorcontrib>Musa, George J.</creatorcontrib><creatorcontrib>Postuvan, Vita</creatorcontrib><creatorcontrib>Resch, Franz</creatorcontrib><creatorcontrib>Saiz, Pilar A.</creatorcontrib><creatorcontrib>Sisask, Merike</creatorcontrib><creatorcontrib>Varnik, Airi</creatorcontrib><creatorcontrib>Sarchiapone, Marco</creatorcontrib><creatorcontrib>Hoven, Christina W.</creatorcontrib><creatorcontrib>Wasserman, Danuta</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Animal Behavior Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><collection>PAIS Index</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Addiction (Abingdon, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Durkee, Tony</au><au>Kaess, Michael</au><au>Carli, Vladimir</au><au>Parzer, Peter</au><au>Wasserman, Camilla</au><au>Floderus, Birgitta</au><au>Apter, Alan</au><au>Balazs, Judit</au><au>Barzilay, Shira</au><au>Bobes, Julio</au><au>Brunner, Romuald</au><au>Corcoran, Paul</au><au>Cosman, Doina</au><au>Cotter, Padraig</au><au>Despalins, Romain</au><au>Graber, Nadja</au><au>Guillemin, Francis</au><au>Haring, Christian</au><au>Kahn, Jean-Pierre</au><au>Mandelli, Laura</au><au>Marusic, Dragan</au><au>Mészáros, Gergely</au><au>Musa, George J.</au><au>Postuvan, Vita</au><au>Resch, Franz</au><au>Saiz, Pilar A.</au><au>Sisask, Merike</au><au>Varnik, Airi</au><au>Sarchiapone, Marco</au><au>Hoven, Christina W.</au><au>Wasserman, Danuta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence of pathological internet use among adolescents in Europe: demographic and social factors</atitle><jtitle>Addiction (Abingdon, England)</jtitle><addtitle>Addiction</addtitle><date>2012-12</date><risdate>2012</risdate><volume>107</volume><issue>12</issue><spage>2210</spage><epage>2222</epage><pages>2210-2222</pages><issn>0965-2140</issn><eissn>1360-0443</eissn><coden>ADICE5</coden><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><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><pmid>22621402</pmid><doi>10.1111/j.1360-0443.2012.03946.x</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0965-2140 |
ispartof | Addiction (Abingdon, England), 2012-12, Vol.107 (12), p.2210-2222 |
issn | 0965-2140 1360-0443 |
language | eng |
recordid | cdi_swepub_primary_oai_swepub_ki_se_536940 |
source | MEDLINE; Wiley Online Library Journals Frontfile Complete; PAIS Index; SWEPUB Freely available online; Sociological Abstracts |
subjects | Addiction Addictive behaviors Adolescent Adolescents Adult and adolescent clinical studies Behavior, Addictive - epidemiology Biological and medical sciences Cross-sectional analysis Cross-Sectional Studies Demographics Drug addiction Drug addicts Europe Europe - epidemiology European Union Female Females France Humans Internet Internet - utilization internet addiction Italy Male Males Medical sciences mental health Metropolitan areas Miscellaneous Parents pathological internet use Pathology Prevalence Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Public health. Hygiene Public health. Hygiene-occupational medicine Questionnaires Residence Characteristics - statistics & numerical data Risk Risk factors risk-behaviors Saving school-based prevention Schools Sex Sex Distribution SEYLE Social psychology Socioeconomic Factors Students Surveys and Questionnaires Teenagers Time Factors Unemployment |
title | Prevalence of pathological internet use among adolescents in Europe: demographic and social factors |
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