21 recherche sur le mot-clé 'Latent class analysis'

Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training / V. DEKKER in Journal of Autism and Developmental Disorders, 51-6 (June 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-6 (June 2021) . - p.2004-2018 Titre : Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training Type de document : Texte imprimé et/ou numérique Auteurs : V. DEKKER, Auteur ; M. H. NAUTA, Auteur ; M. E. TIMMERMAN, Auteur ; E. J. MULDER, Auteur ; P. J. HOEKSTRA, Auteur ; Annelies A. DE BILDT, Auteur Article en page(s) : p.2004-2018 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/therapy  Child  Communication  Female  Humans  Latent Class Analysis  Male  Parents  Social Skills  Autism spectrum disorder  Participant and intervention characteristics  Randomized controlled trial  Social skills training  for Health Research and Development  ZonMw, nr 157003005). The agency had no role in  data analyses, the decision to publish, or the preparation of the manuscript. She  also is first author on the Dutch ADOS manual for which Accare receives enumeration.  The other authors declare that they have no conflict of interest. Index. décimale : PER Périodiques Résumé : With Latent Class Analysis applied on data of 98 children with autism spectrum disorder (ASD) (9-12 years; 17 girls) participating in social skills training (SST) in a randomized controlled trial (Dekker et al. 2019), four subgroups were detected, based on social-communicative skills before, and response patterns to training. Two subgroups improved after SST. Characterizing the subgroups based on participant and intervention characteristics showed that improvement was related to lower parent-reported perceived difficulty of social-communicative skills at start, higher verbal ability, younger age and milder symptoms of ASD and anxiety. The lowest performing non-improving subgroup participated more often in SST without parent/teacher involvement, compared to all other subgroups. Response to SST in ASD seems to vary depending on participant characteristics. En ligne : http://dx.doi.org/10.1007/s10803-020-04678-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452 [article] Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training [Texte imprimé et/ou numérique] / V. DEKKER, Auteur ; M. H. NAUTA, Auteur ; M. E. TIMMERMAN, Auteur ; E. J. MULDER, Auteur ; P. J. HOEKSTRA, Auteur ; Annelies A. DE BILDT, Auteur . - p.2004-2018. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-6 (June 2021) . - p.2004-2018 Mots-clés : Autism Spectrum Disorder/therapy  Child  Communication  Female  Humans  Latent Class Analysis  Male  Parents  Social Skills  Autism spectrum disorder  Participant and intervention characteristics  Randomized controlled trial  Social skills training  for Health Research and Development  ZonMw, nr 157003005). The agency had no role in  data analyses, the decision to publish, or the preparation of the manuscript. She  also is first author on the Dutch ADOS manual for which Accare receives enumeration.  The other authors declare that they have no conflict of interest. Index. décimale : PER Périodiques Résumé : With Latent Class Analysis applied on data of 98 children with autism spectrum disorder (ASD) (9-12 years; 17 girls) participating in social skills training (SST) in a randomized controlled trial (Dekker et al. 2019), four subgroups were detected, based on social-communicative skills before, and response patterns to training. Two subgroups improved after SST. Characterizing the subgroups based on participant and intervention characteristics showed that improvement was related to lower parent-reported perceived difficulty of social-communicative skills at start, higher verbal ability, younger age and milder symptoms of ASD and anxiety. The lowest performing non-improving subgroup participated more often in SST without parent/teacher involvement, compared to all other subgroups. Response to SST in ASD seems to vary depending on participant characteristics. En ligne : http://dx.doi.org/10.1007/s10803-020-04678-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452

Community participation patterns among autistic adults and associated characteristics: A latent class analysis / Wei SONG in Research in Autism Spectrum Disorders, 89 (November 2021)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 89 (November 2021) . - 101884 Titre : Community participation patterns among autistic adults and associated characteristics: A latent class analysis Type de document : Texte imprimé et/ou numérique Auteurs : Wei SONG, Auteur ; Mark S. SALZER, Auteur ; Stacy L. NONNEMACHER, Auteur ; Lindsay L. SHEA, Auteur Article en page(s) : 101884 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Adults  Community participation  Latent class analysis Index. décimale : PER Périodiques Résumé : Background Community participation can buffer stress and anxiety and improve quality of life for autistic adults. While the participation of autistic adults is known to be lower than the general population, it is not known if subgroups exist based on the degree of interest in participation or amounts of participation among those who are interested. Method This study uses Latent Class Analysis to identify subgroups based on the number of important areas and engagement in important activities, and the demographic, clinical, social, and environmental features of these subgroups. Cross-sectional data from 816 autistic adults aged 18–72 from a large, statewide survey were used. Results Latent Class Analysis resulted in a good-fitting four class solution: Low Importance of Participation (33%); High Importance-Low Participation (16%); High Importance-Moderate Participation (22%); High Importance-High Participation (29%). Autistic adults in the Low Importance group were more likely to have fewer years of education, live with family members, and less likely to have an intellectual disability. Among the classes where participation was important, compared to adults in the Moderate Participation class, those in the Low Participation class were more likely to live in an isolated environment, such as rural areas or supported living facilities, and those in the High Participation class had more satisfying relationships and fewer unmet service needs. Conclusions Study findings have implications for more efficient and effective service planning and delivery that enhances participation interests and amount of community participation to align with interests. En ligne : https://doi.org/10.1016/j.rasd.2021.101884 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=458 [article] Community participation patterns among autistic adults and associated characteristics: A latent class analysis [Texte imprimé et/ou numérique] / Wei SONG, Auteur ; Mark S. SALZER, Auteur ; Stacy L. NONNEMACHER, Auteur ; Lindsay L. SHEA, Auteur . - 101884. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 89 (November 2021) . - 101884 Mots-clés : Autism spectrum disorder  Adults  Community participation  Latent class analysis Index. décimale : PER Périodiques Résumé : Background Community participation can buffer stress and anxiety and improve quality of life for autistic adults. While the participation of autistic adults is known to be lower than the general population, it is not known if subgroups exist based on the degree of interest in participation or amounts of participation among those who are interested. Method This study uses Latent Class Analysis to identify subgroups based on the number of important areas and engagement in important activities, and the demographic, clinical, social, and environmental features of these subgroups. Cross-sectional data from 816 autistic adults aged 18–72 from a large, statewide survey were used. Results Latent Class Analysis resulted in a good-fitting four class solution: Low Importance of Participation (33%); High Importance-Low Participation (16%); High Importance-Moderate Participation (22%); High Importance-High Participation (29%). Autistic adults in the Low Importance group were more likely to have fewer years of education, live with family members, and less likely to have an intellectual disability. Among the classes where participation was important, compared to adults in the Moderate Participation class, those in the Low Participation class were more likely to live in an isolated environment, such as rural areas or supported living facilities, and those in the High Participation class had more satisfying relationships and fewer unmet service needs. Conclusions Study findings have implications for more efficient and effective service planning and delivery that enhances participation interests and amount of community participation to align with interests. En ligne : https://doi.org/10.1016/j.rasd.2021.101884 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=458

Health Factors, Sociability, and Academic Outcomes of Typically Developing Youth and Youth with Autism Spectrum Disorder: A Latent Class Analysis Approach / Jeanette M. GARCIA in Journal of Autism and Developmental Disorders, 51-4 (April 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-4 (April 2021) . - p.1346-1352 Titre : Health Factors, Sociability, and Academic Outcomes of Typically Developing Youth and Youth with Autism Spectrum Disorder: A Latent Class Analysis Approach Type de document : Texte imprimé et/ou numérique Auteurs : Jeanette M. GARCIA, Auteur ; Debbie L. HAHS-VAUGHN, Auteur Article en page(s) : p.1346-1352 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Children  Health behaviors  Latent class analysis Index. décimale : PER Périodiques Résumé : To identify profiles of both typically developing (TD) children and children with autism spectrum disorder (ASD) based on health indicators, and academic/social engagement. Latent class analysis was conducted to identify profiles of children from the 2016 National Survey of Children's Health, based on physical activity, screen time, sleep, and academic/social engagement. A three-profile solution was the best fitting model, with children in profile 3 characterized as having excellent health, and academic/social outcomes, compared to profiles 1 and 2. Compared to TD youth, a greater percentage of youth with ASD fit into the poorer health profiles. Studies should examine whether health interventions for youth with ASD can improve factors, such as academic engagement and social interaction. En ligne : http://dx.doi.org/10.1007/s10803-020-04572-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=445 [article] Health Factors, Sociability, and Academic Outcomes of Typically Developing Youth and Youth with Autism Spectrum Disorder: A Latent Class Analysis Approach [Texte imprimé et/ou numérique] / Jeanette M. GARCIA, Auteur ; Debbie L. HAHS-VAUGHN, Auteur . - p.1346-1352. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-4 (April 2021) . - p.1346-1352 Mots-clés : Autism spectrum disorder  Children  Health behaviors  Latent class analysis Index. décimale : PER Périodiques Résumé : To identify profiles of both typically developing (TD) children and children with autism spectrum disorder (ASD) based on health indicators, and academic/social engagement. Latent class analysis was conducted to identify profiles of children from the 2016 National Survey of Children's Health, based on physical activity, screen time, sleep, and academic/social engagement. A three-profile solution was the best fitting model, with children in profile 3 characterized as having excellent health, and academic/social outcomes, compared to profiles 1 and 2. Compared to TD youth, a greater percentage of youth with ASD fit into the poorer health profiles. Studies should examine whether health interventions for youth with ASD can improve factors, such as academic engagement and social interaction. En ligne : http://dx.doi.org/10.1007/s10803-020-04572-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=445

Interaction of dopamine transporter (DAT1) genotype and maltreatment for ADHD: a latent class analysis / James J. LI in Journal of Child Psychology and Psychiatry, 53-9 (September 2012)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 53-9 (September 2012) . - p.997-1005 Titre : Interaction of dopamine transporter (DAT1) genotype and maltreatment for ADHD: a latent class analysis Type de document : Texte imprimé et/ou numérique Auteurs : James J. LI, Auteur ; Steve S. LEE, Auteur Année de publication : 2012 Article en page(s) : p.997-1005 Langues : Anglais (eng) Mots-clés : ADHD  latent class analysis  gene-environment interaction  DAT1  maltreatment Index. décimale : PER Périodiques Résumé : Background:  Although the association of the dopamine transporter (DAT1) gene and attention-deficit/hyperactivity disorder (ADHD) has been widely studied, far less is known about its potential interaction with environmental risk factors. Given that maltreatment is a replicated risk factor for ADHD, we explored the interaction between DAT1 and maltreatment with ADHD symptoms defined dimensionally and using latent class analysis (LCA). Method:  We tested the association of the 40 base-pair variable number of tandem repeats polymorphism in DAT1, maltreatment, and their interaction in 2,488 boys and girls from the National Longitudinal Study of Adolescent Health. Results:  In boys, ADHD symptoms were optimally defined by four classes (Combined, Hyperactive/Impulsive, Inattentive, and Normal), whereas in girls, ADHD symptoms were defined by three classes (Combined, Combined-Mild, Normal). A significant DAT1 × maltreatment interaction revealed that maltreated girls homozygous for the 10-repeat allele had more symptoms of ADHD, and were also 2.5 times more likely to be classified in the Combined ADHD group than in the Normal Group. Conclusions:  The underlying structure of ADHD symptoms differed between boys and girls and DAT1 interacted with maltreatment to predict ADHD symptoms and ADHD status derived from LCA. Interactive exchanges between maltreatment and DAT1 for ADHD symptoms, and their implications for intervention, are discussed. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02563.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=179 [article] Interaction of dopamine transporter (DAT1) genotype and maltreatment for ADHD: a latent class analysis [Texte imprimé et/ou numérique] / James J. LI, Auteur ; Steve S. LEE, Auteur . - 2012 . - p.997-1005. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 53-9 (September 2012) . - p.997-1005 Mots-clés : ADHD  latent class analysis  gene-environment interaction  DAT1  maltreatment Index. décimale : PER Périodiques Résumé : Background:  Although the association of the dopamine transporter (DAT1) gene and attention-deficit/hyperactivity disorder (ADHD) has been widely studied, far less is known about its potential interaction with environmental risk factors. Given that maltreatment is a replicated risk factor for ADHD, we explored the interaction between DAT1 and maltreatment with ADHD symptoms defined dimensionally and using latent class analysis (LCA). Method:  We tested the association of the 40 base-pair variable number of tandem repeats polymorphism in DAT1, maltreatment, and their interaction in 2,488 boys and girls from the National Longitudinal Study of Adolescent Health. Results:  In boys, ADHD symptoms were optimally defined by four classes (Combined, Hyperactive/Impulsive, Inattentive, and Normal), whereas in girls, ADHD symptoms were defined by three classes (Combined, Combined-Mild, Normal). A significant DAT1 × maltreatment interaction revealed that maltreated girls homozygous for the 10-repeat allele had more symptoms of ADHD, and were also 2.5 times more likely to be classified in the Combined ADHD group than in the Normal Group. Conclusions:  The underlying structure of ADHD symptoms differed between boys and girls and DAT1 interacted with maltreatment to predict ADHD symptoms and ADHD status derived from LCA. Interactive exchanges between maltreatment and DAT1 for ADHD symptoms, and their implications for intervention, are discussed. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02563.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=179

The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient / Richard J. E. JAMES in Journal of Autism and Developmental Disorders, 46-12 (December 2016)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 46-12 (December 2016) . - p.3712-3728 Titre : The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient Type de document : Texte imprimé et/ou numérique Auteurs : Richard J. E. JAMES, Auteur ; Indu DUBEY, Auteur ; Danielle SMITH, Auteur ; Danielle ROPAR, Auteur ; Richard J. TUNNEY, Auteur Article en page(s) : p.3712-3728 Langues : Anglais (eng) Mots-clés : Autism quotient  Autistic traits  Taxometric analysis  Latent class analysis  Latent structure analysis  Nosology Index. décimale : PER Périodiques Résumé : Autistic traits are widely thought to operate along a continuum. A taxometric analysis of Adult Autism Spectrum Quotient data was conducted to test this assumption, finding little support but identifying a high severity taxon. To understand this further, latent class and latent profile models were estimated that indicated the presence of six distinct subtypes: one with little probability of endorsing any autistic traits, one engaging in ‘systemising’ behaviours, three groups endorsing multiple components of Wing and Gould’s autistic triad, and a group similar in size and profile to the taxon previously identified. These analyses suggest the AQ (and potentially by extension autistic traits) have a categorical structure. These findings have important implications for the analysis and interpretation of AQ data. En ligne : http://dx.doi.org/10.1007/s10803-016-2897-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 [article] The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient [Texte imprimé et/ou numérique] / Richard J. E. JAMES, Auteur ; Indu DUBEY, Auteur ; Danielle SMITH, Auteur ; Danielle ROPAR, Auteur ; Richard J. TUNNEY, Auteur . - p.3712-3728. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 46-12 (December 2016) . - p.3712-3728 Mots-clés : Autism quotient  Autistic traits  Taxometric analysis  Latent class analysis  Latent structure analysis  Nosology Index. décimale : PER Périodiques Résumé : Autistic traits are widely thought to operate along a continuum. A taxometric analysis of Adult Autism Spectrum Quotient data was conducted to test this assumption, finding little support but identifying a high severity taxon. To understand this further, latent class and latent profile models were estimated that indicated the presence of six distinct subtypes: one with little probability of endorsing any autistic traits, one engaging in ‘systemising’ behaviours, three groups endorsing multiple components of Wing and Gould’s autistic triad, and a group similar in size and profile to the taxon previously identified. These analyses suggest the AQ (and potentially by extension autistic traits) have a categorical structure. These findings have important implications for the analysis and interpretation of AQ data. En ligne : http://dx.doi.org/10.1007/s10803-016-2897-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297

Two-year predictive validity of conduct disorder subtypes in early adolescence: a latent class analysis of a Canadian longitudinal sample / Eric LACOURSE in Journal of Child Psychology and Psychiatry, 51-12 (December 2010)  

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Using latent class analysis to identify treatment-use subgroups among parents of children with autism spectrum disorder / S. S. MIRE in Autism Research, 12-5 (May 2019)  

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A latent class approach to understanding patterns of emotional and behavioral problems among early adolescents across four low- and middle-income countries / Robert W. BLUM ; Judith K. BASS ; Aimée M. LULEBO ; Anggriyani W. PINANDARI ; William STONES ; Siswanto A. WILOPO ; Xiayun ZUO ; Rashelle J. MUSCI in Development and Psychopathology, 35-4 (October 2023)  

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Subfactors of oppositional defiant disorder: converging evidence from structural and latent class analyses / Kathrin HERZHOFF in Journal of Child Psychology and Psychiatry, 57-1 (January 2016)  

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Latent classes of oppositional defiant disorder in adolescence and prediction to later psychopathology / Sarah J. RACZ in Development and Psychopathology, 35-2 (May 2023)  

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