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Development of the Social Motor Function Classification System for Children with Autism Spectrum Disorders: A Psychometric Study
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Pin, Tamis W.; So, Vincent K. K.; Siu, Cynthia S. H.; Yip, Sheila S. N.; Cheung, Stella See-wing; Kan, Jenny Yim-mui – Journal of Autism and Developmental Disorders, 2021
To examine reliability and validity of the new Social Motor Function Classification System for Children with Autism Spectrum Disorders (SMFCS-ASD). The SMFCS-ASD reliability was examined on 25 children (62.4 months SD 7.8) with ASD among six physical therapists. The validity study involved 1001 children (57.0 months, SD 9.9) with ASD using the…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Classification
Data-Driven Classification of Dysarthria Profiles in Children with Cerebral Palsy
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Allison, Kristen M.; Hustad, Katherine C. – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The objectives of this study were to examine different speech profiles among children with dysarthria secondary to cerebral palsy (CP) and to characterize the effect of different speech profiles on intelligibility. Method: Twenty 5-year-old children with dysarthria secondary to CP and 20 typically developing children were included in this…
Descriptors: Speech Impairments, Cerebral Palsy, Young Children, Mutual Intelligibility
Effects of an Early Intervention Program by the ICF Model on the Neuropsychomotor Development and Quality of Life in Babies in Daycare
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Mélo, Tainá Ribas; Araujo, Luize Bueno de; Ferreira, Manoela de Paula; Israel, Vera Lúcia – Early Child Development and Care, 2021
This study aims at checking the effects of an early intervention program (EIP) on the neuropsychomotor development (NPMD) and quality of life (QoL) of 4-18 months old babies attending daycare, following the biopsychosocial (BPS) model of health and the International Classification of Functioning Disability and Health (ICF). It was a…
Descriptors: Program Effectiveness, Infants, Psychomotor Skills, Motor Development
Prediction of Autism at 3 Years from Behavioural and Developmental Measures in High-Risk Infants: A Longitudinal Cross-Domain Classifier Analysis
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Bussu, G.; Jones, E. J. H.; Charman, T.; Johnson, M. H.; Buitelaar, J. K.; Baron-Cohen, S.; Bedford, R.; Bolton, P.; Blasi, A.; Chandler, S.; Cheung, C.; Davies, K.; Elsabbagh, M.; Fernandes, J.; Gammer, I.; Garwood, H.; Gliga, T.; Guiraud, J.; Hudry, K.; Liew, M.; Lloyd-Fox, S.; Maris, H.; O'Hara, L.; Pasco, G.; Pickles, A.; Ribeiro, H.; Salomone, E.; Tucker, L.; Volein, A. – Journal of Autism and Developmental Disorders, 2018
We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early Learning, Vineland Adaptive Behavior Scales, and early ASD symptoms between 8 and 36 months in high-risk siblings (HR; n…
Descriptors: Prediction, Autism, Symptoms (Individual Disorders), Classification
Health and Wellbeing in Childhood, 2nd Edition
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Garvis, Susanne, Ed.; Pendergast, Donna, Ed. – Cambridge University Press, 2017
The period from birth to twelve years is crucial in a child's development and can significantly impact future educational success, resilience and participation in society. "Health and Wellbeing in Childhood, 2nd Edition" provides readers with a comprehensive foundation in health and wellbeing education across key priority areas, covering…
Descriptors: Physical Health, Mental Health, Well Being, Children