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Auteur Annarita CONTALDO
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Documents disponibles écrits par cet auteur (2)
Faire une suggestion Affiner la rechercheOutcomes and moderators of Early Start Denver Model intervention in young children with autism spectrum disorder delivered in a mixed individual and group setting / Annarita CONTALDO in Autism, 24-3 (April 2020)
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Titre : Outcomes and moderators of Early Start Denver Model intervention in young children with autism spectrum disorder delivered in a mixed individual and group setting Type de document : texte imprimé Auteurs : Annarita CONTALDO, Auteur ; Costanza COLOMBI, Auteur ; Caterina PIEROTTI, Auteur ; Patrizia MASONI, Auteur ; Filippo MURATORI, Auteur Article en page(s) : p.718-729 Langues : Anglais (eng) Mots-clés : Early Start Denver Model autism spectrum disorder early intervention predictors Index. décimale : PER Périodiques Résumé : Several studies have shown the efficacy and effectiveness of the Early Start Denver Model, both in university and in community-based settings. However, a limited number of studies have investigated predictors of outcomes. In this study, we examined outcomes in 32 children diagnosed with autism spectrum disorder after 1 year of community-based Early Start Denver Model intervention, with the aim to identify predictors of treatment objectives acquisition, as measured by the Early Start Denver Model Curriculum Checklist. At a group level, the participants demonstrated improvement in their communication as well as adaptive functioning skills, while they showed a decrease in symptom severity. The large heterogeneity in outcomes identified was related to the pre-treatment non-verbal abilities, symptom severity, action and gesture repertoire, and lexical comprehension. We discussed our results in terms of implications for developing "personalized" interventions for children with autism spectrum disorder. En ligne : http://dx.doi.org/10.1177/1362361319888344 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=422
in Autism > 24-3 (April 2020) . - p.718-729[article] Outcomes and moderators of Early Start Denver Model intervention in young children with autism spectrum disorder delivered in a mixed individual and group setting [texte imprimé] / Annarita CONTALDO, Auteur ; Costanza COLOMBI, Auteur ; Caterina PIEROTTI, Auteur ; Patrizia MASONI, Auteur ; Filippo MURATORI, Auteur . - p.718-729.
Langues : Anglais (eng)
in Autism > 24-3 (April 2020) . - p.718-729
Mots-clés : Early Start Denver Model autism spectrum disorder early intervention predictors Index. décimale : PER Périodiques Résumé : Several studies have shown the efficacy and effectiveness of the Early Start Denver Model, both in university and in community-based settings. However, a limited number of studies have investigated predictors of outcomes. In this study, we examined outcomes in 32 children diagnosed with autism spectrum disorder after 1 year of community-based Early Start Denver Model intervention, with the aim to identify predictors of treatment objectives acquisition, as measured by the Early Start Denver Model Curriculum Checklist. At a group level, the participants demonstrated improvement in their communication as well as adaptive functioning skills, while they showed a decrease in symptom severity. The large heterogeneity in outcomes identified was related to the pre-treatment non-verbal abilities, symptom severity, action and gesture repertoire, and lexical comprehension. We discussed our results in terms of implications for developing "personalized" interventions for children with autism spectrum disorder. En ligne : http://dx.doi.org/10.1177/1362361319888344 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=422 Predicting early intervention outcomes in autism via individual participant data mega-analysis / Veronica MANDELLI in Molecular Autism, 17 (2026)
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[article]
Titre : Predicting early intervention outcomes in autism via individual participant data mega-analysis Type de document : texte imprimé Auteurs : Veronica MANDELLI, Auteur ; Elena Maria BUSUOLI, Auteur ; Michel GODEL, Auteur ; Nada KOJOVIC, Auteur ; Yana SINAI-GAVRILOV, Auteur ; Tali GEV, Auteur ; Annarita CONTALDO, Auteur ; Eric COURCHESNE, Auteur ; Karen PIERCE, Auteur ; Ofer GOLAN, Auteur ; Antonio NARZISI, Auteur ; Filippo MURATORI, Auteur ; Costanza COLOMBI, Auteur ; Sally J. ROGERS, Auteur ; Giacomo VIVANTI, Auteur ; Marie SCHAER, Auteur ; Liliana RUTA, Auteur ; Michael V. LOMBARDO, Auteur Article en page(s) : 33 p. Langues : Anglais (eng) Résumé : Autism early intervention meta-analyses have yielded important insights into questions such as ‘what works’ and ‘for what’ outcomes. However, because these studies primarily rely on study-level summary statistics, they may be limited with regard to more individualized insights. Mega-analyses utilizing individual participant data (IPD-MA) may be useful for these more individualized questions. En ligne : https://doi.org/10.1186/s13229-026-00736-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=594
in Molecular Autism > 17 (2026) . - 33 p.[article] Predicting early intervention outcomes in autism via individual participant data mega-analysis [texte imprimé] / Veronica MANDELLI, Auteur ; Elena Maria BUSUOLI, Auteur ; Michel GODEL, Auteur ; Nada KOJOVIC, Auteur ; Yana SINAI-GAVRILOV, Auteur ; Tali GEV, Auteur ; Annarita CONTALDO, Auteur ; Eric COURCHESNE, Auteur ; Karen PIERCE, Auteur ; Ofer GOLAN, Auteur ; Antonio NARZISI, Auteur ; Filippo MURATORI, Auteur ; Costanza COLOMBI, Auteur ; Sally J. ROGERS, Auteur ; Giacomo VIVANTI, Auteur ; Marie SCHAER, Auteur ; Liliana RUTA, Auteur ; Michael V. LOMBARDO, Auteur . - 33 p.
Langues : Anglais (eng)
in Molecular Autism > 17 (2026) . - 33 p.
Résumé : Autism early intervention meta-analyses have yielded important insights into questions such as ‘what works’ and ‘for what’ outcomes. However, because these studies primarily rely on study-level summary statistics, they may be limited with regard to more individualized insights. Mega-analyses utilizing individual participant data (IPD-MA) may be useful for these more individualized questions. En ligne : https://doi.org/10.1186/s13229-026-00736-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=594

