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Détail de l'auteur
Auteur M. K. J. PIJL |
Documents disponibles écrits par cet auteur (1)
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Temperament as an Early Risk Marker for Autism Spectrum Disorders? A Longitudinal Study of High-Risk and Low-Risk Infants / M. K. J. PIJL in Journal of Autism and Developmental Disorders, 49-5 (May 2019)
[article]
Titre : Temperament as an Early Risk Marker for Autism Spectrum Disorders? A Longitudinal Study of High-Risk and Low-Risk Infants Type de document : Texte imprimé et/ou numérique Auteurs : M. K. J. PIJL, Auteur ; G. BUSSU, Auteur ; Tony CHARMAN, Auteur ; M. H. JOHNSON, Auteur ; E. J. H. JONES, Auteur ; G. PASCO, Auteur ; I. J. OOSTERLING, Auteur ; Nanda N. ROMMELSE, Auteur ; Jan K. BUITELAAR, Auteur Article en page(s) : p.1825-1836 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder High-risk Longitudinal Machine learning Temperament Index. décimale : PER Périodiques Résumé : To investigate temperament as an early risk marker for autism spectrum disorder (ASD), we examined parent-reported temperament for high-risk (HR, n = 170) and low-risk (LR, n = 77) siblings at 8, 14, and 24 months. Diagnostic assessment was performed at 36 months. Group-based analyses showed linear risk gradients, with more atypical temperament for HR-ASD, followed by HR-Atypical, HR-Typical, and LR siblings. Temperament differed significantly between outcome groups (0.03 = etap(2) = 0.34). Machine learning analyses showed that, at an individual level, HR-ASD siblings could not be identified accurately, whereas HR infants without ASD could. Our results emphasize the discrepancy between group-based and individual-based predictions and suggest that while temperament does not facilitate early identification of ASD individually, it may help identify HR infants who do not develop ASD. En ligne : http://dx.doi.org/10.1007/s10803-018-3855-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=393
in Journal of Autism and Developmental Disorders > 49-5 (May 2019) . - p.1825-1836[article] Temperament as an Early Risk Marker for Autism Spectrum Disorders? A Longitudinal Study of High-Risk and Low-Risk Infants [Texte imprimé et/ou numérique] / M. K. J. PIJL, Auteur ; G. BUSSU, Auteur ; Tony CHARMAN, Auteur ; M. H. JOHNSON, Auteur ; E. J. H. JONES, Auteur ; G. PASCO, Auteur ; I. J. OOSTERLING, Auteur ; Nanda N. ROMMELSE, Auteur ; Jan K. BUITELAAR, Auteur . - p.1825-1836.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 49-5 (May 2019) . - p.1825-1836
Mots-clés : Autism spectrum disorder High-risk Longitudinal Machine learning Temperament Index. décimale : PER Périodiques Résumé : To investigate temperament as an early risk marker for autism spectrum disorder (ASD), we examined parent-reported temperament for high-risk (HR, n = 170) and low-risk (LR, n = 77) siblings at 8, 14, and 24 months. Diagnostic assessment was performed at 36 months. Group-based analyses showed linear risk gradients, with more atypical temperament for HR-ASD, followed by HR-Atypical, HR-Typical, and LR siblings. Temperament differed significantly between outcome groups (0.03 = etap(2) = 0.34). Machine learning analyses showed that, at an individual level, HR-ASD siblings could not be identified accurately, whereas HR infants without ASD could. Our results emphasize the discrepancy between group-based and individual-based predictions and suggest that while temperament does not facilitate early identification of ASD individually, it may help identify HR infants who do not develop ASD. En ligne : http://dx.doi.org/10.1007/s10803-018-3855-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=393