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Attention-deficit/hyperactivity disorder dimensionality: the reliable ‘g’ and the elusive ‘s’ dimensions
The best structural model for attention-deficit/hyperactivity disorder (ADHD) symptoms remains a matter of debate. The objective of this study is to test the fit and factor reliability of competing models of the dimensional structure of ADHD symptoms in a sample of randomly selected and high-risk ch...
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Published in: | European child & adolescent psychiatry 2016-01, Vol.25 (1), p.83-90 |
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description | The best structural model for attention-deficit/hyperactivity disorder (ADHD) symptoms remains a matter of debate. The objective of this study is to test the fit and factor reliability of competing models of the dimensional structure of ADHD symptoms in a sample of randomly selected and high-risk children and pre-adolescents from Brazil. Our sample comprised 2512 children aged 6–12 years from 57 schools in Brazil. The ADHD symptoms were assessed using parent report on the development and well-being assessment (DAWBA). Fit indexes from confirmatory factor analysis were used to test unidimensional, correlated, and bifactor models of ADHD, the latter including “g” ADHD and “s” symptom domain factors. Reliability of all models was measured with omega coefficients. A bifactor model with one general factor and three specific factors (inattention, hyperactivity, impulsivity) exhibited the best fit to the data, according to fit indices, as well as the most consistent factor loadings. However, based on omega reliability statistics, the specific inattention, hyperactivity, and impulsivity dimensions provided very little reliable information after accounting for the reliable general ADHD factor. Our study presents some psychometric evidence that ADHD specific (“s”) factors might be unreliable after taking common (“g” factor) variance into account. These results are in accordance with the lack of longitudinal stability among subtypes, the absence of dimension-specific molecular genetic findings and non-specific effects of treatment strategies. Therefore, researchers and clinicians might most effectively rely on the “g” ADHD to characterize ADHD dimensional phenotype, based on currently available symptom items. |
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The objective of this study is to test the fit and factor reliability of competing models of the dimensional structure of ADHD symptoms in a sample of randomly selected and high-risk children and pre-adolescents from Brazil. Our sample comprised 2512 children aged 6–12 years from 57 schools in Brazil. The ADHD symptoms were assessed using parent report on the development and well-being assessment (DAWBA). Fit indexes from confirmatory factor analysis were used to test unidimensional, correlated, and bifactor models of ADHD, the latter including “g” ADHD and “s” symptom domain factors. Reliability of all models was measured with omega coefficients. A bifactor model with one general factor and three specific factors (inattention, hyperactivity, impulsivity) exhibited the best fit to the data, according to fit indices, as well as the most consistent factor loadings. However, based on omega reliability statistics, the specific inattention, hyperactivity, and impulsivity dimensions provided very little reliable information after accounting for the reliable general ADHD factor. Our study presents some psychometric evidence that ADHD specific (“s”) factors might be unreliable after taking common (“g” factor) variance into account. These results are in accordance with the lack of longitudinal stability among subtypes, the absence of dimension-specific molecular genetic findings and non-specific effects of treatment strategies. Therefore, researchers and clinicians might most effectively rely on the “g” ADHD to characterize ADHD dimensional phenotype, based on currently available symptom items.</description><identifier>ISSN: 1018-8827</identifier><identifier>EISSN: 1435-165X</identifier><identifier>DOI: 10.1007/s00787-015-0709-1</identifier><identifier>PMID: 25877403</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accounting ; Adolescent ; Adolescents ; Attention ; Attention Deficit Disorder with Hyperactivity - diagnosis ; Attention Deficit Disorder with Hyperactivity - epidemiology ; Attention deficit hyperactivity disorder ; Brazil - epidemiology ; Child ; Child and Adolescent Psychiatry ; Children ; Children & youth ; Confirmatory factor analysis ; Etiology ; Factor analysis ; Female ; General factor ; High risk ; Humans ; Hyperactivity ; Impulsive Behavior ; Impulsivity ; Male ; Medicine ; Medicine & Public Health ; Original Contribution ; Phenotypes ; Psychiatry ; Psychometrics ; Reliability ; Reproducibility of Results ; Risk assessment ; Risk groups ; Schools - trends ; Social Behavior ; Statistical analysis ; Studies ; Subtypes ; Teenagers ; Well being</subject><ispartof>European child & adolescent psychiatry, 2016-01, Vol.25 (1), p.83-90</ispartof><rights>Springer-Verlag Berlin Heidelberg 2015</rights><rights>Springer-Verlag Berlin Heidelberg 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-b746a3287266b9d1e9342f8591cebcb6017c9cbdb4435f40da130eaa5b11bf453</citedby><cites>FETCH-LOGICAL-c442t-b746a3287266b9d1e9342f8591cebcb6017c9cbdb4435f40da130eaa5b11bf453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1752872377/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1752872377?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,12846,21394,21395,27924,27925,30999,33611,33612,34530,34531,43733,44115,74221,74639</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25877403$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wagner, Flávia</creatorcontrib><creatorcontrib>Martel, Michelle M.</creatorcontrib><creatorcontrib>Cogo-Moreira, Hugo</creatorcontrib><creatorcontrib>Maia, Carlos Renato Moreira</creatorcontrib><creatorcontrib>Pan, Pedro Mario</creatorcontrib><creatorcontrib>Rohde, Luis Augusto</creatorcontrib><creatorcontrib>Salum, Giovanni Abrahão</creatorcontrib><title>Attention-deficit/hyperactivity disorder dimensionality: the reliable ‘g’ and the elusive ‘s’ dimensions</title><title>European child & adolescent psychiatry</title><addtitle>Eur Child Adolesc Psychiatry</addtitle><addtitle>Eur Child Adolesc Psychiatry</addtitle><description>The best structural model for attention-deficit/hyperactivity disorder (ADHD) symptoms remains a matter of debate. The objective of this study is to test the fit and factor reliability of competing models of the dimensional structure of ADHD symptoms in a sample of randomly selected and high-risk children and pre-adolescents from Brazil. Our sample comprised 2512 children aged 6–12 years from 57 schools in Brazil. The ADHD symptoms were assessed using parent report on the development and well-being assessment (DAWBA). Fit indexes from confirmatory factor analysis were used to test unidimensional, correlated, and bifactor models of ADHD, the latter including “g” ADHD and “s” symptom domain factors. Reliability of all models was measured with omega coefficients. A bifactor model with one general factor and three specific factors (inattention, hyperactivity, impulsivity) exhibited the best fit to the data, according to fit indices, as well as the most consistent factor loadings. However, based on omega reliability statistics, the specific inattention, hyperactivity, and impulsivity dimensions provided very little reliable information after accounting for the reliable general ADHD factor. Our study presents some psychometric evidence that ADHD specific (“s”) factors might be unreliable after taking common (“g” factor) variance into account. These results are in accordance with the lack of longitudinal stability among subtypes, the absence of dimension-specific molecular genetic findings and non-specific effects of treatment strategies. Therefore, researchers and clinicians might most effectively rely on the “g” ADHD to characterize ADHD dimensional phenotype, based on currently available symptom items.</description><subject>Accounting</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Attention</subject><subject>Attention Deficit Disorder with Hyperactivity - diagnosis</subject><subject>Attention Deficit Disorder with Hyperactivity - epidemiology</subject><subject>Attention deficit hyperactivity disorder</subject><subject>Brazil - epidemiology</subject><subject>Child</subject><subject>Child and Adolescent Psychiatry</subject><subject>Children</subject><subject>Children & youth</subject><subject>Confirmatory factor analysis</subject><subject>Etiology</subject><subject>Factor analysis</subject><subject>Female</subject><subject>General factor</subject><subject>High risk</subject><subject>Humans</subject><subject>Hyperactivity</subject><subject>Impulsive Behavior</subject><subject>Impulsivity</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Original Contribution</subject><subject>Phenotypes</subject><subject>Psychiatry</subject><subject>Psychometrics</subject><subject>Reliability</subject><subject>Reproducibility of Results</subject><subject>Risk assessment</subject><subject>Risk groups</subject><subject>Schools - 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diagnosis</topic><topic>Attention Deficit Disorder with Hyperactivity - epidemiology</topic><topic>Attention deficit hyperactivity disorder</topic><topic>Brazil - epidemiology</topic><topic>Child</topic><topic>Child and Adolescent Psychiatry</topic><topic>Children</topic><topic>Children & youth</topic><topic>Confirmatory factor analysis</topic><topic>Etiology</topic><topic>Factor analysis</topic><topic>Female</topic><topic>General factor</topic><topic>High risk</topic><topic>Humans</topic><topic>Hyperactivity</topic><topic>Impulsive Behavior</topic><topic>Impulsivity</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Original Contribution</topic><topic>Phenotypes</topic><topic>Psychiatry</topic><topic>Psychometrics</topic><topic>Reliability</topic><topic>Reproducibility of Results</topic><topic>Risk assessment</topic><topic>Risk groups</topic><topic>Schools - trends</topic><topic>Social Behavior</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Subtypes</topic><topic>Teenagers</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wagner, Flávia</creatorcontrib><creatorcontrib>Martel, Michelle M.</creatorcontrib><creatorcontrib>Cogo-Moreira, Hugo</creatorcontrib><creatorcontrib>Maia, Carlos Renato Moreira</creatorcontrib><creatorcontrib>Pan, Pedro Mario</creatorcontrib><creatorcontrib>Rohde, Luis Augusto</creatorcontrib><creatorcontrib>Salum, Giovanni Abrahão</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>ProQuest research library</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>European child & adolescent psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wagner, Flávia</au><au>Martel, Michelle M.</au><au>Cogo-Moreira, Hugo</au><au>Maia, Carlos Renato Moreira</au><au>Pan, Pedro Mario</au><au>Rohde, Luis Augusto</au><au>Salum, Giovanni Abrahão</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Attention-deficit/hyperactivity disorder dimensionality: the reliable ‘g’ and the elusive ‘s’ dimensions</atitle><jtitle>European child & adolescent psychiatry</jtitle><stitle>Eur Child Adolesc Psychiatry</stitle><addtitle>Eur Child Adolesc Psychiatry</addtitle><date>2016-01-01</date><risdate>2016</risdate><volume>25</volume><issue>1</issue><spage>83</spage><epage>90</epage><pages>83-90</pages><issn>1018-8827</issn><eissn>1435-165X</eissn><abstract>The best structural model for attention-deficit/hyperactivity disorder (ADHD) symptoms remains a matter of debate. The objective of this study is to test the fit and factor reliability of competing models of the dimensional structure of ADHD symptoms in a sample of randomly selected and high-risk children and pre-adolescents from Brazil. Our sample comprised 2512 children aged 6–12 years from 57 schools in Brazil. The ADHD symptoms were assessed using parent report on the development and well-being assessment (DAWBA). Fit indexes from confirmatory factor analysis were used to test unidimensional, correlated, and bifactor models of ADHD, the latter including “g” ADHD and “s” symptom domain factors. Reliability of all models was measured with omega coefficients. A bifactor model with one general factor and three specific factors (inattention, hyperactivity, impulsivity) exhibited the best fit to the data, according to fit indices, as well as the most consistent factor loadings. However, based on omega reliability statistics, the specific inattention, hyperactivity, and impulsivity dimensions provided very little reliable information after accounting for the reliable general ADHD factor. Our study presents some psychometric evidence that ADHD specific (“s”) factors might be unreliable after taking common (“g” factor) variance into account. These results are in accordance with the lack of longitudinal stability among subtypes, the absence of dimension-specific molecular genetic findings and non-specific effects of treatment strategies. Therefore, researchers and clinicians might most effectively rely on the “g” ADHD to characterize ADHD dimensional phenotype, based on currently available symptom items.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25877403</pmid><doi>10.1007/s00787-015-0709-1</doi><tpages>8</tpages></addata></record> |
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subjects | Accounting Adolescent Adolescents Attention Attention Deficit Disorder with Hyperactivity - diagnosis Attention Deficit Disorder with Hyperactivity - epidemiology Attention deficit hyperactivity disorder Brazil - epidemiology Child Child and Adolescent Psychiatry Children Children & youth Confirmatory factor analysis Etiology Factor analysis Female General factor High risk Humans Hyperactivity Impulsive Behavior Impulsivity Male Medicine Medicine & Public Health Original Contribution Phenotypes Psychiatry Psychometrics Reliability Reproducibility of Results Risk assessment Risk groups Schools - trends Social Behavior Statistical analysis Studies Subtypes Teenagers Well being |
title | Attention-deficit/hyperactivity disorder dimensionality: the reliable ‘g’ and the elusive ‘s’ dimensions |
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