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Trajectories of Symptom Severity in Children with Autism: Variability and Turning Points through the Transition to School / S. GEORGIADES in Journal of Autism and Developmental Disorders, 52-1 (January 2022)
[article]
Titre : Trajectories of Symptom Severity in Children with Autism: Variability and Turning Points through the Transition to School Type de document : Texte imprimé et/ou numérique Auteurs : S. GEORGIADES, Auteur ; P. A. TAIT, Auteur ; P. D. MCNICHOLAS, Auteur ; E. DUKU, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; I. M. SMITH, Auteur ; Teresa BENNETT, Auteur ; M. ELSABBAGH, Auteur ; Connor M. KERNS, Auteur ; P. MIRENDA, Auteur ; W. J. UNGAR, Auteur ; T. VAILLANCOURT, Auteur ; J. VOLDEN, Auteur ; C. WADDELL, Auteur ; A. ZAIDMAN-ZAIT, Auteur ; S. GENTLES, Auteur ; P. SZATMARI, Auteur Article en page(s) : p.392-401 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis Autistic Disorder/diagnosis Child Humans Language Multivariate Analysis Schools Autism spectrum disorder Chronogeneity Trajectories Turning points Index. décimale : PER Périodiques Résumé : This study examined the trajectories of autistic symptom severity in an inception cohort of 187 children with ASD assessed across four time points from diagnosis to age 10. Trajectory groups were derived using multivariate cluster analysis. A two trajectory/cluster solution was selected. Change in trajectory slopes revealed a turning point marked by plateauing in symptom reduction during the period of transition to school (age 6) for one of the two trajectories. Trajectories were labelled: Continuously Improving (27%) and Improving then Plateauing (73% of sample). Children in the two trajectories differed in levels of symptom severity, language, cognitive, and adaptive functioning skills. Study findings can inform the development of more personalized services for children with ASD transitioning into the school system. En ligne : http://dx.doi.org/10.1007/s10803-021-04949-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455
in Journal of Autism and Developmental Disorders > 52-1 (January 2022) . - p.392-401[article] Trajectories of Symptom Severity in Children with Autism: Variability and Turning Points through the Transition to School [Texte imprimé et/ou numérique] / S. GEORGIADES, Auteur ; P. A. TAIT, Auteur ; P. D. MCNICHOLAS, Auteur ; E. DUKU, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; I. M. SMITH, Auteur ; Teresa BENNETT, Auteur ; M. ELSABBAGH, Auteur ; Connor M. KERNS, Auteur ; P. MIRENDA, Auteur ; W. J. UNGAR, Auteur ; T. VAILLANCOURT, Auteur ; J. VOLDEN, Auteur ; C. WADDELL, Auteur ; A. ZAIDMAN-ZAIT, Auteur ; S. GENTLES, Auteur ; P. SZATMARI, Auteur . - p.392-401.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-1 (January 2022) . - p.392-401
Mots-clés : Autism Spectrum Disorder/diagnosis Autistic Disorder/diagnosis Child Humans Language Multivariate Analysis Schools Autism spectrum disorder Chronogeneity Trajectories Turning points Index. décimale : PER Périodiques Résumé : This study examined the trajectories of autistic symptom severity in an inception cohort of 187 children with ASD assessed across four time points from diagnosis to age 10. Trajectory groups were derived using multivariate cluster analysis. A two trajectory/cluster solution was selected. Change in trajectory slopes revealed a turning point marked by plateauing in symptom reduction during the period of transition to school (age 6) for one of the two trajectories. Trajectories were labelled: Continuously Improving (27%) and Improving then Plateauing (73% of sample). Children in the two trajectories differed in levels of symptom severity, language, cognitive, and adaptive functioning skills. Study findings can inform the development of more personalized services for children with ASD transitioning into the school system. En ligne : http://dx.doi.org/10.1007/s10803-021-04949-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455 Assessing Exposure to Violence Using Multiple Informants: Application of Hierarchical Linear Model / Meichun KUO in Journal of Child Psychology and Psychiatry, 41-8 (November 2000)
[article]
Titre : Assessing Exposure to Violence Using Multiple Informants: Application of Hierarchical Linear Model Type de document : Texte imprimé et/ou numérique Auteurs : Meichun KUO, Auteur ; Beat MOHLER, Auteur ; Stephen L. RAUDENBUSH, Auteur ; Felton EARLS, Auteur Année de publication : 2000 Article en page(s) : 1049-1056 Langues : Anglais (eng) Mots-clés : Assessment multivariate analysis exposure to violence multiple informant Index. décimale : PER Périodiques Résumé : The present study assesses the effects of demographic risk factors on children's exposure to violence (ETV) and how these effects vary by informants. Data on exposure to violence of 9-, 12-, and 15-year-olds were collected from both child participants (NO= 1880) and parents (NO= 1776), as part of the assessment of the Project on Human Development in Chicago Neighborhoods (PHDCN). A two-level hierarchical linear model (HLM) with multivariate outcomes was employed to analyze information obtained from these two different groups of informants. The findings indicate that parents generally report less ETV than do their children and that associations of age, gender, and parent education with ETV are stronger in the self-reports than in the parent reports. The findings support a multivariate approach when information obtained from different sources is being integrated. The application of HLM allows an assessment of interactions between risk factors and informants and uses all available data, including data from one informant when data from the other informant is missing. Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=125
in Journal of Child Psychology and Psychiatry > 41-8 (November 2000) . - 1049-1056[article] Assessing Exposure to Violence Using Multiple Informants: Application of Hierarchical Linear Model [Texte imprimé et/ou numérique] / Meichun KUO, Auteur ; Beat MOHLER, Auteur ; Stephen L. RAUDENBUSH, Auteur ; Felton EARLS, Auteur . - 2000 . - 1049-1056.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 41-8 (November 2000) . - 1049-1056
Mots-clés : Assessment multivariate analysis exposure to violence multiple informant Index. décimale : PER Périodiques Résumé : The present study assesses the effects of demographic risk factors on children's exposure to violence (ETV) and how these effects vary by informants. Data on exposure to violence of 9-, 12-, and 15-year-olds were collected from both child participants (NO= 1880) and parents (NO= 1776), as part of the assessment of the Project on Human Development in Chicago Neighborhoods (PHDCN). A two-level hierarchical linear model (HLM) with multivariate outcomes was employed to analyze information obtained from these two different groups of informants. The findings indicate that parents generally report less ETV than do their children and that associations of age, gender, and parent education with ETV are stronger in the self-reports than in the parent reports. The findings support a multivariate approach when information obtained from different sources is being integrated. The application of HLM allows an assessment of interactions between risk factors and informants and uses all available data, including data from one informant when data from the other informant is missing. Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=125 Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions / Troy VARGASON in Research in Autism Spectrum Disorders, 77 (September 2020)
[article]
Titre : Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions Type de document : Texte imprimé et/ou numérique Auteurs : Troy VARGASON, Auteur ; Emily ROTH, Auteur ; Genevieve GRIVAS, Auteur ; Jennifer FERINA, Auteur ; Richard E. FRYE, Auteur ; Juergen HAHN, Auteur Article en page(s) : 101644 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Co-occurring conditions Folate-dependent one-carbon metabolism Transsulfuration Multivariate analysis Classification Index. décimale : PER Périodiques Résumé : Background Previous studies have found plasma measurements of metabolites from the folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathways to be useful for differentiating individuals with autism spectrum disorder (ASD) from their typically developing peers. However, ASD is heterogeneous due to wide variation in the presence of co-occurring behavioral and medical conditions, and it is unknown how these conditions influence the ability to identify ASD based on FOCM/TS metabolites. Method This study employs a previously developed multivariate model that makes use of five FOCM/TS measurements (S-adenosylmethionine/S-adenosylhomocysteine, glutamylcysteine, glutathione disulfide, free cystine/free cysteine, and percent oxidized glutathione) to distinguish children with ASD from typically developing children. The model is used here to evaluate an independent cohort of individuals having ASD with diagnosed co-occurring conditions (age range 2–17 years old) and assess classifier performance in the presence/absence of these conditions. The four categories of co-occurring conditions considered were allergic disorders, gastrointestinal disorders, immune/metabolic disorders, and neurological disorders. All data were collected and retrospectively analyzed from previous clinical studies. Results The model was able to identify 124 of 131 participants with ASD (94.7 %) correctly regardless of co-occurring condition status. Model performance was generally not sensitive to the absence or presence of most co-occurring conditions, with the exceptions of ever/never having allergies or gastrointestinal symptoms, or currently (not) having any condition, all of which had minor impacts on model prediction accuracy. Conclusion The results of this exploratory study suggest that a FOCM/TS-based classifier for diagnosing ASD may potentially be robust to variations in co-occurring conditions and potentially applicable across ASD subtypes. Larger, more comprehensive follow-up studies with typically developing and/or developmentally delayed control groups are required to provide a more conclusive assessment of classifier robustness to co-occurring conditions. En ligne : https://doi.org/10.1016/j.rasd.2020.101644 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432
in Research in Autism Spectrum Disorders > 77 (September 2020) . - 101644[article] Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions [Texte imprimé et/ou numérique] / Troy VARGASON, Auteur ; Emily ROTH, Auteur ; Genevieve GRIVAS, Auteur ; Jennifer FERINA, Auteur ; Richard E. FRYE, Auteur ; Juergen HAHN, Auteur . - 101644.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 77 (September 2020) . - 101644
Mots-clés : Autism spectrum disorder Co-occurring conditions Folate-dependent one-carbon metabolism Transsulfuration Multivariate analysis Classification Index. décimale : PER Périodiques Résumé : Background Previous studies have found plasma measurements of metabolites from the folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathways to be useful for differentiating individuals with autism spectrum disorder (ASD) from their typically developing peers. However, ASD is heterogeneous due to wide variation in the presence of co-occurring behavioral and medical conditions, and it is unknown how these conditions influence the ability to identify ASD based on FOCM/TS metabolites. Method This study employs a previously developed multivariate model that makes use of five FOCM/TS measurements (S-adenosylmethionine/S-adenosylhomocysteine, glutamylcysteine, glutathione disulfide, free cystine/free cysteine, and percent oxidized glutathione) to distinguish children with ASD from typically developing children. The model is used here to evaluate an independent cohort of individuals having ASD with diagnosed co-occurring conditions (age range 2–17 years old) and assess classifier performance in the presence/absence of these conditions. The four categories of co-occurring conditions considered were allergic disorders, gastrointestinal disorders, immune/metabolic disorders, and neurological disorders. All data were collected and retrospectively analyzed from previous clinical studies. Results The model was able to identify 124 of 131 participants with ASD (94.7 %) correctly regardless of co-occurring condition status. Model performance was generally not sensitive to the absence or presence of most co-occurring conditions, with the exceptions of ever/never having allergies or gastrointestinal symptoms, or currently (not) having any condition, all of which had minor impacts on model prediction accuracy. Conclusion The results of this exploratory study suggest that a FOCM/TS-based classifier for diagnosing ASD may potentially be robust to variations in co-occurring conditions and potentially applicable across ASD subtypes. Larger, more comprehensive follow-up studies with typically developing and/or developmentally delayed control groups are required to provide a more conclusive assessment of classifier robustness to co-occurring conditions. En ligne : https://doi.org/10.1016/j.rasd.2020.101644 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432