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Rebecca McNally Keehn; Noha F. Minshawi; Qing Tang; Brett Enneking; Tybytha Ryan; Ann Marie Martin; Angela Paxton; Patrick O. Monahan; Mary Ciccarelli; Brandon Keehn – Autism: The International Journal of Research and Practice, 2025
Feasible and accurate assessment tools developed for non-specialists are needed to scale community-based models of autism evaluation. The purpose of this study was to evaluate use of the Screening Tool for Autism in Toddlers and Young Children (STAT) when used by primary care practitioners (n = 10) across a statewide system of early diagnosis set…
Descriptors: Screening Tests, Accuracy, Autism Spectrum Disorders, Toddlers
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Kamara, Dana; Walton, Katherine; Witwer, Andrea N. – Journal of Early Intervention, 2020
Identification of problems with socioemotional functioning is an important task in early childhood, particularly for children in early intervention (EI). However, socioemotional concerns raised by families may be under-identified in practice. In accordance with Division for Early Childhood (DEC) recommended practices, Part C providers could…
Descriptors: Toddlers, Screening Tests, Social Development, Emotional Development
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Thurm, Audrey; Manwaring, Stacy S.; Swineford, Lauren; Farmer, Cristan – Journal of Child Psychology and Psychiatry, 2015
Background: A significant minority of children with autism spectrum disorder (ASD) are considered "minimally verbal" due to language development stagnating at a few words. Recent developments allow for the severity of ASD symptoms to be examined using Autism Diagnostic Observation Schedule (ADOS) Social Affect (SA) and Restricted and…
Descriptors: Symptoms (Individual Disorders), Severity (of Disability), Verbal Ability, Autism
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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
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Turner-Brown, Lauren M.; Baranek, Grace T.; Reznick, J Steven; Watson, Linda R.; Crais, Elizabeth R. – Autism: The International Journal of Research and Practice, 2013
The First Year Inventory is a parent-report measure designed to identify 12-month-old infants at risk for autism spectrum disorder. First Year Inventory taps behaviors that indicate risk in the developmental domains of sensory--regulatory and social--communication functioning. This longitudinal study is a follow-up of 699 children at 3 years of…
Descriptors: Autism, Pervasive Developmental Disorders, Risk, Disability Identification
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Soke, Gnakub Norbert; Philofsky, Amy; Diguiseppi, Carolyn; Lezotte, Dennis; Rogers, Sally; Hepburn, Susan – Autism: The International Journal of Research and Practice, 2011
We prospectively examined mean changes in Autism Diagnostic Interview-Revised (ADI-R) Total and Domains scores and stability of the ADI-R diagnostic classification in 28 children with autism initially assessed at age 2-4 years and reassessed 2 years later. Mean Total, Social Interaction, and Communication scores decreased significantly from Time 1…
Descriptors: Autism, Preschool Children, Measures (Individuals), Interviews
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Guthrie, Whitney; Swineford, Lauren B.; Nottke, Charly; Wetherby, Amy M. – Journal of Child Psychology and Psychiatry, 2013
Background: Although a diagnosis of autism spectrum disorder (ASD) appears to be stable in children as young as age three, few studies have explored stability of a diagnosis in younger children. Predictive value of diagnostic tools for toddlers and patterns of symptom change are important considerations for clinicians making early diagnoses. Most…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Toddlers
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Wan, Ming Wai; Green, Jonathan; Elsabbagh, Mayada; Johnson, Mark; Charman, Tony; Plummer, Faye – Journal of Child Psychology and Psychiatry, 2013
Background: Recent models of the early emergence of autism spectrum disorder (ASD) propose that infant intrinsic risk susceptibilities in behaviour may be amplified by interaction within the early social environment into an increasingly atypical developmental trajectory. This study examines whether 6- and 12-month parent-infant interactions in…
Descriptors: Correlation, Infants, Autism, Pervasive Developmental Disorders
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Angkustsiri, Kathleen; Krakowiak, Paula; Moghaddam, Billur; Wardinsky, Terrance; Gardner, Jerald; Kalamkarian, Nareg; Hertz-Picciotto, Irva; Hansen, Robin L. – Autism: The International Journal of Research and Practice, 2011
Objective: There is clinical heterogeneity among the autism spectrum disorders (ASD). The presence of dysmorphology (minor physical anomalies; MPAs) is one possible tool for defining a clinically relevant subset in ASD. This study employs an adaptation of Miles and Hillman's (2000) classifications by using photographs to identify a subgroup with…
Descriptors: Genetic Disorders, Autism, Seizures, Genetics
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Rao, Patricia A.; Landa, Rebecca J. – Autism: The International Journal of Research and Practice, 2014
Autism spectrum disorder and attention deficit hyperactivity disorder are neurodevelopmental disorders that cannot be codiagnosed under existing diagnostic guidelines ("Diagnostic and Statistical Manual of the American Psychiatric Association," 4th ed., text rev.). However, reports are emerging that attention deficit hyperactivity…
Descriptors: Pervasive Developmental Disorders, Autism, Attention Deficit Hyperactivity Disorder, Comorbidity
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Landa, Rebecca; Garrett-Mayer, Elizabeth – Journal of Child Psychology and Psychiatry, 2006
Background: Autism is rarely diagnosed before three years of age despite evidence suggesting prenatal abnormalities in neurobiological processes. Little is known about when or how development becomes disrupted in the first two years of life in autism. Such information is needed to facilitate early detection and early intervention. Methods: This…
Descriptors: Siblings, Early Intervention, Medical Evaluation, Autism