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Journal of Autism and Developmental Disorders

Gepubliceerd in:

03-06-2019 | Original Paper

Developing a Diagnostic Algorithm for the Music-Based Scale for Autism Diagnostics (MUSAD) Assessing Adults with Intellectual Disability

Auteurs: Thomas Bergmann, Manuel Heinrich, Matthias Ziegler, Isabel Dziobek, Albert Diefenbacher, Tanja Sappok

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 9/2019

Abstract

Initial studies have presented the Music-based Scale for Autism Diagnostics (MUSAD) as a promising DSM-5-based observational tool to identify autism spectrum disorder (ASD) in adults with intellectual disability (ID). The current study is the first to address its clinical utility in a new sample of 124 adults with ID (60.5% diagnosed with ASD). The derived diagnostic algorithm differentiated well between individuals with and without ASD (sensitivity 79%, specificity 74%, area under the curve = 0.81). Inter-rater reliability, assessed by the scorings of four independent experts in 22 consensus cases, was excellent (ICC = 0.92). Substantial correlations with scores from other ASD-specific measures indicated convergent validity. The MUSAD yields accurate and reliable scores, supporting comprehensive ASD diagnostics in adults with ID.

vorige artikel Use of GFCF Diets in Children with ASD. An Investigation into Parents’ Beliefs Using the Theory of Planned Behaviour

volgende artikel Social Avoidance Emerges in Infancy and Persists into Adulthood in Fragile X Syndrome

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Titel: Developing a Diagnostic Algorithm for the Music-Based Scale for Autism Diagnostics (MUSAD) Assessing Adults with Intellectual Disability
Auteurs: Thomas Bergmann
Manuel Heinrich
Matthias Ziegler
Isabel Dziobek
Albert Diefenbacher
Tanja Sappok
Publicatiedatum: 03-06-2019
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 9/2019
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-019-04069-y

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