دورية أكاديمية

Autism Spectrum Disorder Decision Tree Subgroups Predict Adaptive Behavior and Autism Severity Trajectories in Children with ASD

التفاصيل البيبلوغرافية
العنوان: Autism Spectrum Disorder Decision Tree Subgroups Predict Adaptive Behavior and Autism Severity Trajectories in Children with ASD
اللغة: English
المؤلفون: Cohen, Ira L. (ORCID 0000-0001-6688-0141), Flory, Michael J.
المصدر: Journal of Autism and Developmental Disorders. Apr 2019 49(4):1423-1437.
الإتاحة: Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 15
تاريخ النشر: 2019
نوع الوثيقة: Journal Articles
Reports - Research
Descriptors: Autism, Pervasive Developmental Disorders, Predictor Variables, Adjustment (to Environment), Severity (of Disability), Children, Measures (Individuals), Decision Making
DOI: 10.1007/s10803-018-3830-4
تدمد: 0162-3257
مستخلص: A recent cross-sectional analysis of PDD Behavior Inventory (PDDBI) data, analyzed with a classification and regression tree algorithm, yielded a decision tree (the Autism Spectrum Disorder-Decision Tree or ASD-DT) that detected three behaviorally distinct ASD subgroups: minimally verbal, verbal, and atypical. These subgroups differed in PDDBI profiles and in factors previously reported to be predictors of autism severity and adaptive behavior trajectories. We retrospectively analyzed trajectories of adaptive skills and autism severity in these subgroups, defined by ASD-DTs calculated from initial evaluation PDDBIs. Results confirmed predictions that each subgroup had distinct trajectories that varied with the type of adaptive behavior assessed suggesting that the ASD-DT has prognostic value that could be helpful for both clinical and research applications.
Abstractor: As Provided
Entry Date: 2019
رقم الأكسشن: EJ1212095
قاعدة البيانات: ERIC
الوصف
تدمد:0162-3257
DOI:10.1007/s10803-018-3830-4