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Factorial invariance in hierarchical factor models of mental disorders in African American and European American youths / Quanfa HE in Journal of Child Psychology and Psychiatry, 62-3 (March 2021)
[article]
Titre : Factorial invariance in hierarchical factor models of mental disorders in African American and European American youths Type de document : Texte imprimé et/ou numérique Auteurs : Quanfa HE, Auteur ; James J. LI, Auteur Article en page(s) : p.289-298 Langues : Anglais (eng) Mots-clés : HiTOP externalizing general factor internalizing psychopathology racial-ethnic differences Index. décimale : PER Périodiques Résumé : BACKGROUND: There is converging evidence that mental disorders are more optimally conceptualized in a hierarchical framework (i.e., the Hierarchical Taxonomy of Psychopathology, HiTOP) that transcends the categorical boundaries of the Diagnostic and Statistical Manual of Mental Disorders (DSM). However, the majority of this evidence comes from studies that draw upon predominantly European American or Caucasian populations. Whether a hierarchical conceptualization of mental disorders generalizes across racial-ethnic groups, including for African American (AA) populations, is unclear. METHODS: We tested multidimensional and bifactor models of 15 DSM diagnoses and psychiatric traits in two groups, including AA (n = 3,088) and European American (EA; n = 5,147) youths aged 8-21 from the Philadelphia Neurodevelopmental Cohort (PNC). We also conducted multigroup confirmatory factor analyses to test for factorial invariance between the best fitting AA and EA multidimensional and bifactor models. RESULTS: In the multidimensional model tests, a three-factor model, specifying internalizing, externalizing, and thought dimensions, emerged as the best fitting model for AAs and EAs. In the bifactor model tests, a three-factor model (i.e., internalizing, externalizing, and thought dimensions) that also specified a general factor emerged as the optimal for both AAs and EAs. The general factor accounted for a significant proportion of the covariation between the secondary factors and the individual disorders and traits. Furthermore, both models were factorially invariant, indicating no significant difference in the factor structure of mental disorders between AAs and EAs in PNC. CONCLUSIONS: Results suggest that the hierarchical factor structure of mental disorders may be racial-ethnically robust. This finding has implications for etiological and epidemiological studies focused on racial-ethnic subgroup comparisons, particularly with respect to identifying similarities and differences in prevalence rates or sociodemographic risk factors for mental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.13243 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443
in Journal of Child Psychology and Psychiatry > 62-3 (March 2021) . - p.289-298[article] Factorial invariance in hierarchical factor models of mental disorders in African American and European American youths [Texte imprimé et/ou numérique] / Quanfa HE, Auteur ; James J. LI, Auteur . - p.289-298.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-3 (March 2021) . - p.289-298
Mots-clés : HiTOP externalizing general factor internalizing psychopathology racial-ethnic differences Index. décimale : PER Périodiques Résumé : BACKGROUND: There is converging evidence that mental disorders are more optimally conceptualized in a hierarchical framework (i.e., the Hierarchical Taxonomy of Psychopathology, HiTOP) that transcends the categorical boundaries of the Diagnostic and Statistical Manual of Mental Disorders (DSM). However, the majority of this evidence comes from studies that draw upon predominantly European American or Caucasian populations. Whether a hierarchical conceptualization of mental disorders generalizes across racial-ethnic groups, including for African American (AA) populations, is unclear. METHODS: We tested multidimensional and bifactor models of 15 DSM diagnoses and psychiatric traits in two groups, including AA (n = 3,088) and European American (EA; n = 5,147) youths aged 8-21 from the Philadelphia Neurodevelopmental Cohort (PNC). We also conducted multigroup confirmatory factor analyses to test for factorial invariance between the best fitting AA and EA multidimensional and bifactor models. RESULTS: In the multidimensional model tests, a three-factor model, specifying internalizing, externalizing, and thought dimensions, emerged as the best fitting model for AAs and EAs. In the bifactor model tests, a three-factor model (i.e., internalizing, externalizing, and thought dimensions) that also specified a general factor emerged as the optimal for both AAs and EAs. The general factor accounted for a significant proportion of the covariation between the secondary factors and the individual disorders and traits. Furthermore, both models were factorially invariant, indicating no significant difference in the factor structure of mental disorders between AAs and EAs in PNC. CONCLUSIONS: Results suggest that the hierarchical factor structure of mental disorders may be racial-ethnically robust. This finding has implications for etiological and epidemiological studies focused on racial-ethnic subgroup comparisons, particularly with respect to identifying similarities and differences in prevalence rates or sociodemographic risk factors for mental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.13243 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443 The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology / R. KNOTT in Molecular Autism, 12 (2021)
[article]
Titre : The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology Type de document : Texte imprimé et/ou numérique Auteurs : R. KNOTT, Auteur ; Beth P. JOHNSON, Auteur ; J. TIEGO, Auteur ; O. MELLAHN, Auteur ; A. FINLAY, Auteur ; K. KALLADY, Auteur ; M. KOUSPOS, Auteur ; V. P. MOHANAKUMAR SINDHU, Auteur ; Z. HAWI, Auteur ; A. ARNATKEVICIUTE, Auteur ; T. CHAU, Auteur ; D. MARON, Auteur ; E. C. MERCIECA, Auteur ; K. FURLEY, Auteur ; K. HARRIS, Auteur ; K. WILLIAMS, Auteur ; A. URE, Auteur ; A. FORNITO, Auteur ; K. GRAY, Auteur ; D. COGHILL, Auteur ; A. NICHOLSON, Auteur ; D. PHUNG, Auteur ; E. LOTH, Auteur ; L. MASON, Auteur ; D. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Mark A. BELLGROVE, Auteur Article en page(s) : 55 p. Langues : Anglais (eng) Mots-clés : Adhd Asd Cognition Eye-tracking Genetics HiTOP Neuroimaging RDoC Index. décimale : PER Périodiques Résumé : BACKGROUND: ASD and ADHD are prevalent neurodevelopmental disorders that frequently co-occur and have strong evidence for a degree of shared genetic aetiology. Behavioural and neurocognitive heterogeneity in ASD and ADHD has hampered attempts to map the underlying genetics and neurobiology, predict intervention response, and improve diagnostic accuracy. Moving away from categorical conceptualisations of psychopathology to a dimensional approach is anticipated to facilitate discovery of data-driven clusters and enhance our understanding of the neurobiological and genetic aetiology of these conditions. The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project is one of the first large-scale, family-based studies to take a truly transdiagnostic approach to ASD and ADHD. Using a comprehensive phenotyping protocol capturing dimensional traits central to ASD and ADHD, the MAGNET project aims to identify data-driven clusters across ADHD-ASD spectra using deep phenotyping of symptoms and behaviours; investigate the degree of familiality for different dimensional ASD-ADHD phenotypes and clusters; and map the neurocognitive, brain imaging, and genetic correlates of these data-driven symptom-based clusters. METHODS: The MAGNET project will recruit 1,200 families with children who are either typically developing, or who display elevated ASD, ADHD, or ASD-ADHD traits, in addition to affected and unaffected biological siblings of probands, and parents. All children will be comprehensively phenotyped for behavioural symptoms, comorbidities, neurocognitive and neuroimaging traits and genetics. CONCLUSION: The MAGNET project will be the first large-scale family study to take a transdiagnostic approach to ASD-ADHD, utilising deep phenotyping across behavioural, neurocognitive, brain imaging and genetic measures. En ligne : http://dx.doi.org/10.1186/s13229-021-00457-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459
in Molecular Autism > 12 (2021) . - 55 p.[article] The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology [Texte imprimé et/ou numérique] / R. KNOTT, Auteur ; Beth P. JOHNSON, Auteur ; J. TIEGO, Auteur ; O. MELLAHN, Auteur ; A. FINLAY, Auteur ; K. KALLADY, Auteur ; M. KOUSPOS, Auteur ; V. P. MOHANAKUMAR SINDHU, Auteur ; Z. HAWI, Auteur ; A. ARNATKEVICIUTE, Auteur ; T. CHAU, Auteur ; D. MARON, Auteur ; E. C. MERCIECA, Auteur ; K. FURLEY, Auteur ; K. HARRIS, Auteur ; K. WILLIAMS, Auteur ; A. URE, Auteur ; A. FORNITO, Auteur ; K. GRAY, Auteur ; D. COGHILL, Auteur ; A. NICHOLSON, Auteur ; D. PHUNG, Auteur ; E. LOTH, Auteur ; L. MASON, Auteur ; D. MURPHY, Auteur ; Jan K. BUITELAAR, Auteur ; Mark A. BELLGROVE, Auteur . - 55 p.
Langues : Anglais (eng)
in Molecular Autism > 12 (2021) . - 55 p.
Mots-clés : Adhd Asd Cognition Eye-tracking Genetics HiTOP Neuroimaging RDoC Index. décimale : PER Périodiques Résumé : BACKGROUND: ASD and ADHD are prevalent neurodevelopmental disorders that frequently co-occur and have strong evidence for a degree of shared genetic aetiology. Behavioural and neurocognitive heterogeneity in ASD and ADHD has hampered attempts to map the underlying genetics and neurobiology, predict intervention response, and improve diagnostic accuracy. Moving away from categorical conceptualisations of psychopathology to a dimensional approach is anticipated to facilitate discovery of data-driven clusters and enhance our understanding of the neurobiological and genetic aetiology of these conditions. The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project is one of the first large-scale, family-based studies to take a truly transdiagnostic approach to ASD and ADHD. Using a comprehensive phenotyping protocol capturing dimensional traits central to ASD and ADHD, the MAGNET project aims to identify data-driven clusters across ADHD-ASD spectra using deep phenotyping of symptoms and behaviours; investigate the degree of familiality for different dimensional ASD-ADHD phenotypes and clusters; and map the neurocognitive, brain imaging, and genetic correlates of these data-driven symptom-based clusters. METHODS: The MAGNET project will recruit 1,200 families with children who are either typically developing, or who display elevated ASD, ADHD, or ASD-ADHD traits, in addition to affected and unaffected biological siblings of probands, and parents. All children will be comprehensively phenotyped for behavioural symptoms, comorbidities, neurocognitive and neuroimaging traits and genetics. CONCLUSION: The MAGNET project will be the first large-scale family study to take a transdiagnostic approach to ASD-ADHD, utilising deep phenotyping across behavioural, neurocognitive, brain imaging and genetic measures. En ligne : http://dx.doi.org/10.1186/s13229-021-00457-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459