Development of a Short Leyton Obsessional Inventory for Children and Adolescents
To develop a short, cost-effective screening measure for adolescent obsessive-compulsive disorder (OCD). The 20-item Leyton Obsessional Inventory-Child Version and the Mood and Feelings Questionnaire were completed by five groups of adolescents: those with a predominant DSM-IV diagnosis of OCD (n =...
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Veröffentlicht in: | Journal of the American Academy of Child and Adolescent Psychiatry 2002-10, Vol.41 (10), p.1246-1252 |
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container_title | Journal of the American Academy of Child and Adolescent Psychiatry |
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creator | BAMBER, DIANE TAMPLIN, ALISON PARK, REBECCA J. KYTE, ZOË A. GOODYER, IAN M. |
description | To develop a short, cost-effective screening measure for adolescent obsessive-compulsive disorder (OCD).
The 20-item Leyton Obsessional Inventory-Child Version and the Mood and Feelings Questionnaire were completed by five groups of adolescents: those with a predominant DSM-IV diagnosis of OCD (n = 9), major depressive disorder with comorbid OCD (n = 14), major depressive disorder without comorbid OCD (n = 65), a community sample including subjects at high risk for psychopathology (n = 253), and well controls (n = 50). Leyton Obsessional Inventory scores for the community sample (n = 253) were factor analyzed, whereas the remaining groups’ scores served as validation.
Factor analysis yielded a robust 11-item solution with three distinct components accounting for 47.6% of total variance. Internal reliability was high for the short scale total (Cronbach α = .86) and three subscales: Compulsions (α = .73), Obsessions/Incompleteness (α = .79), and Cleanliness (α = .75). Logistic regression found the Compulsions subscale discriminated OCD cases from community controls and discriminated major depressive disorder with and without comorbid OCD. The Obsessions subscale discriminated OCD cases from community, well control, and depressed nonobsessional groups.
The Short Leyton Obsessional Inventory-Child Version is a psychometrically sound, quick, economical screen that discriminates OCD cases from noncases irrespective of comorbid major depressive disorder. |
doi_str_mv | 10.1097/00004583-200210000-00015 |
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The 20-item Leyton Obsessional Inventory-Child Version and the Mood and Feelings Questionnaire were completed by five groups of adolescents: those with a predominant DSM-IV diagnosis of OCD (n = 9), major depressive disorder with comorbid OCD (n = 14), major depressive disorder without comorbid OCD (n = 65), a community sample including subjects at high risk for psychopathology (n = 253), and well controls (n = 50). Leyton Obsessional Inventory scores for the community sample (n = 253) were factor analyzed, whereas the remaining groups’ scores served as validation.
Factor analysis yielded a robust 11-item solution with three distinct components accounting for 47.6% of total variance. Internal reliability was high for the short scale total (Cronbach α = .86) and three subscales: Compulsions (α = .73), Obsessions/Incompleteness (α = .79), and Cleanliness (α = .75). Logistic regression found the Compulsions subscale discriminated OCD cases from community controls and discriminated major depressive disorder with and without comorbid OCD. The Obsessions subscale discriminated OCD cases from community, well control, and depressed nonobsessional groups.
The Short Leyton Obsessional Inventory-Child Version is a psychometrically sound, quick, economical screen that discriminates OCD cases from noncases irrespective of comorbid major depressive disorder.</description><identifier>ISSN: 0890-8567</identifier><identifier>EISSN: 1527-5418</identifier><identifier>DOI: 10.1097/00004583-200210000-00015</identifier><identifier>PMID: 12364847</identifier><identifier>CODEN: JAAPEE</identifier><language>eng</language><publisher>Hagerstown, MD: Elsevier Inc</publisher><subject>Adolescent ; Adolescents ; Anxiety Disorders ; Biological and medical sciences ; Case-Control Studies ; Child ; Child psychology ; Community Relations ; Comorbidity ; depression ; Depressive Disorder - diagnosis ; Depressive Disorder - epidemiology ; Diagnosis, Differential ; England - epidemiology ; Factor Analysis ; Factor Analysis, Statistical ; Humans ; Leyton Obsessional Inventory ; Logistic Models ; Medical diagnosis ; Medical sciences ; Mental depression ; Neuroses ; obsessive-compulsive disorder ; Obsessive-Compulsive Disorder - diagnosis ; Obsessive-Compulsive Disorder - epidemiology ; Psychological Tests ; Psychology. Psychoanalysis. Psychiatry ; Psychometrics. Diagnostic aid systems ; Psychopathology ; Psychopathology. Psychiatry ; Reproducibility of Results ; Techniques and methods ; Teenagers</subject><ispartof>Journal of the American Academy of Child and Adolescent Psychiatry, 2002-10, Vol.41 (10), p.1246-1252</ispartof><rights>2002 The American Academy of Child and Adolescent Psychiatry</rights><rights>2002 INIST-CNRS</rights><rights>Copyright Lippincott Williams & Wilkins Oct 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-69411c6698e08e53c8f05d063b49df9416f26482da24dfe2ee5eaffcbdd976143</citedby><cites>FETCH-LOGICAL-c427t-69411c6698e08e53c8f05d063b49df9416f26482da24dfe2ee5eaffcbdd976143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1097/00004583-200210000-00015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,30980,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13942060$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12364847$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>BAMBER, DIANE</creatorcontrib><creatorcontrib>TAMPLIN, ALISON</creatorcontrib><creatorcontrib>PARK, REBECCA J.</creatorcontrib><creatorcontrib>KYTE, ZOË A.</creatorcontrib><creatorcontrib>GOODYER, IAN M.</creatorcontrib><title>Development of a Short Leyton Obsessional Inventory for Children and Adolescents</title><title>Journal of the American Academy of Child and Adolescent Psychiatry</title><addtitle>J Am Acad Child Adolesc Psychiatry</addtitle><description>To develop a short, cost-effective screening measure for adolescent obsessive-compulsive disorder (OCD).
The 20-item Leyton Obsessional Inventory-Child Version and the Mood and Feelings Questionnaire were completed by five groups of adolescents: those with a predominant DSM-IV diagnosis of OCD (n = 9), major depressive disorder with comorbid OCD (n = 14), major depressive disorder without comorbid OCD (n = 65), a community sample including subjects at high risk for psychopathology (n = 253), and well controls (n = 50). Leyton Obsessional Inventory scores for the community sample (n = 253) were factor analyzed, whereas the remaining groups’ scores served as validation.
Factor analysis yielded a robust 11-item solution with three distinct components accounting for 47.6% of total variance. Internal reliability was high for the short scale total (Cronbach α = .86) and three subscales: Compulsions (α = .73), Obsessions/Incompleteness (α = .79), and Cleanliness (α = .75). Logistic regression found the Compulsions subscale discriminated OCD cases from community controls and discriminated major depressive disorder with and without comorbid OCD. The Obsessions subscale discriminated OCD cases from community, well control, and depressed nonobsessional groups.
The Short Leyton Obsessional Inventory-Child Version is a psychometrically sound, quick, economical screen that discriminates OCD cases from noncases irrespective of comorbid major depressive disorder.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Anxiety Disorders</subject><subject>Biological and medical sciences</subject><subject>Case-Control Studies</subject><subject>Child</subject><subject>Child psychology</subject><subject>Community Relations</subject><subject>Comorbidity</subject><subject>depression</subject><subject>Depressive Disorder - diagnosis</subject><subject>Depressive Disorder - epidemiology</subject><subject>Diagnosis, Differential</subject><subject>England - epidemiology</subject><subject>Factor Analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Humans</subject><subject>Leyton Obsessional Inventory</subject><subject>Logistic Models</subject><subject>Medical diagnosis</subject><subject>Medical sciences</subject><subject>Mental depression</subject><subject>Neuroses</subject><subject>obsessive-compulsive disorder</subject><subject>Obsessive-Compulsive Disorder - diagnosis</subject><subject>Obsessive-Compulsive Disorder - epidemiology</subject><subject>Psychological Tests</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychometrics. Diagnostic aid systems</subject><subject>Psychopathology</subject><subject>Psychopathology. Psychiatry</subject><subject>Reproducibility of Results</subject><subject>Techniques and methods</subject><subject>Teenagers</subject><issn>0890-8567</issn><issn>1527-5418</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkF1rHCEUhiW0JJuPvxAk0N5Nqo46zmWybT5gIYUm1-LqkRhmdaOzC_vv43Y3CfSmgsjhPOfw-iCEKbmkpO9-kHq4UG3DCGF0WzX1UnGAJlSwrhGcqi9oQlRPGiVkd4SOS3nZIp1Sh-iIslZyxbsJ-v0T1jCk5QLiiJPHBv95TnnEM9iMKeKHeYFSQopmwPdxXaGUN9injKfPYXAZIjbR4SuXBii2tssp-urNUOBs_56gp5tfj9O7ZvZwez-9mjWWs25sZM8ptVL2CogC0VrliXBEtnPeO1-b0rMakTnDuPPAAAQY7-3cub6TlLcn6Ptu7zKn1xWUUS9CTTAMJkJaFd0xWseFqODFP-BLWuX6oaIZZVIIydsKqR1kcyolg9fLHBYmbzQleqtcvyvXH8r1X-V19Hy_fzVfgPsc3DuuwLc9YIo1g88m2lA-ubbnjEhSuesdB1XbOkDWxQaIFlzIYEftUvh_mjd0SpxG</recordid><startdate>20021001</startdate><enddate>20021001</enddate><creator>BAMBER, DIANE</creator><creator>TAMPLIN, ALISON</creator><creator>PARK, REBECCA J.</creator><creator>KYTE, ZOË A.</creator><creator>GOODYER, IAN M.</creator><general>Elsevier Inc</general><general>Lippincott</general><general>Elsevier BV</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20021001</creationdate><title>Development of a Short Leyton Obsessional Inventory for Children and Adolescents</title><author>BAMBER, DIANE ; TAMPLIN, ALISON ; PARK, REBECCA J. ; KYTE, ZOË A. ; GOODYER, IAN M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-69411c6698e08e53c8f05d063b49df9416f26482da24dfe2ee5eaffcbdd976143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Anxiety Disorders</topic><topic>Biological and medical sciences</topic><topic>Case-Control Studies</topic><topic>Child</topic><topic>Child psychology</topic><topic>Community Relations</topic><topic>Comorbidity</topic><topic>depression</topic><topic>Depressive Disorder - diagnosis</topic><topic>Depressive Disorder - epidemiology</topic><topic>Diagnosis, Differential</topic><topic>England - epidemiology</topic><topic>Factor Analysis</topic><topic>Factor Analysis, Statistical</topic><topic>Humans</topic><topic>Leyton Obsessional Inventory</topic><topic>Logistic Models</topic><topic>Medical diagnosis</topic><topic>Medical sciences</topic><topic>Mental depression</topic><topic>Neuroses</topic><topic>obsessive-compulsive disorder</topic><topic>Obsessive-Compulsive Disorder - diagnosis</topic><topic>Obsessive-Compulsive Disorder - epidemiology</topic><topic>Psychological Tests</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychometrics. Diagnostic aid systems</topic><topic>Psychopathology</topic><topic>Psychopathology. Psychiatry</topic><topic>Reproducibility of Results</topic><topic>Techniques and methods</topic><topic>Teenagers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>BAMBER, DIANE</creatorcontrib><creatorcontrib>TAMPLIN, ALISON</creatorcontrib><creatorcontrib>PARK, REBECCA J.</creatorcontrib><creatorcontrib>KYTE, ZOË A.</creatorcontrib><creatorcontrib>GOODYER, IAN M.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Academy of Child and Adolescent Psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>BAMBER, DIANE</au><au>TAMPLIN, ALISON</au><au>PARK, REBECCA J.</au><au>KYTE, ZOË A.</au><au>GOODYER, IAN M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a Short Leyton Obsessional Inventory for Children and Adolescents</atitle><jtitle>Journal of the American Academy of Child and Adolescent Psychiatry</jtitle><addtitle>J Am Acad Child Adolesc Psychiatry</addtitle><date>2002-10-01</date><risdate>2002</risdate><volume>41</volume><issue>10</issue><spage>1246</spage><epage>1252</epage><pages>1246-1252</pages><issn>0890-8567</issn><eissn>1527-5418</eissn><coden>JAAPEE</coden><abstract>To develop a short, cost-effective screening measure for adolescent obsessive-compulsive disorder (OCD).
The 20-item Leyton Obsessional Inventory-Child Version and the Mood and Feelings Questionnaire were completed by five groups of adolescents: those with a predominant DSM-IV diagnosis of OCD (n = 9), major depressive disorder with comorbid OCD (n = 14), major depressive disorder without comorbid OCD (n = 65), a community sample including subjects at high risk for psychopathology (n = 253), and well controls (n = 50). Leyton Obsessional Inventory scores for the community sample (n = 253) were factor analyzed, whereas the remaining groups’ scores served as validation.
Factor analysis yielded a robust 11-item solution with three distinct components accounting for 47.6% of total variance. Internal reliability was high for the short scale total (Cronbach α = .86) and three subscales: Compulsions (α = .73), Obsessions/Incompleteness (α = .79), and Cleanliness (α = .75). Logistic regression found the Compulsions subscale discriminated OCD cases from community controls and discriminated major depressive disorder with and without comorbid OCD. The Obsessions subscale discriminated OCD cases from community, well control, and depressed nonobsessional groups.
The Short Leyton Obsessional Inventory-Child Version is a psychometrically sound, quick, economical screen that discriminates OCD cases from noncases irrespective of comorbid major depressive disorder.</abstract><cop>Hagerstown, MD</cop><pub>Elsevier Inc</pub><pmid>12364847</pmid><doi>10.1097/00004583-200210000-00015</doi><tpages>7</tpages></addata></record> |
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subjects | Adolescent Adolescents Anxiety Disorders Biological and medical sciences Case-Control Studies Child Child psychology Community Relations Comorbidity depression Depressive Disorder - diagnosis Depressive Disorder - epidemiology Diagnosis, Differential England - epidemiology Factor Analysis Factor Analysis, Statistical Humans Leyton Obsessional Inventory Logistic Models Medical diagnosis Medical sciences Mental depression Neuroses obsessive-compulsive disorder Obsessive-Compulsive Disorder - diagnosis Obsessive-Compulsive Disorder - epidemiology Psychological Tests Psychology. Psychoanalysis. Psychiatry Psychometrics. Diagnostic aid systems Psychopathology Psychopathology. Psychiatry Reproducibility of Results Techniques and methods Teenagers |
title | Development of a Short Leyton Obsessional Inventory for Children and Adolescents |
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