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
Hauptverfasser: 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
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container_issue 12
container_start_page 2210
container_title Addiction (Abingdon, England)
container_volume 107
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
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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 &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 ‘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 &amp; 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&amp;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 &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 ‘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 &amp; 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. 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Hygiene-occupational medicine</topic><topic>Questionnaires</topic><topic>Residence Characteristics - statistics &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; 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 &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 ‘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>
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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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