Access the full text.
Sign up today, get DeepDyve free for 14 days.
Few instruments screen for autism spectrum disorder (ASD) among kindergarteners and older children. The Autism Screen for Kids and Youth (ASKY) is a 30-item parental questionnaire for 4- to 18-year-old children and adolescents available in Arabic, English, and Hebrew. We examined the sensitivity, specificity, and temporal stability of the Hebrew ASKY’s categorizations (“probable ASD” versus “probable non-ASD”) of 167 autistic and non-autistic 4- to 18-year olds. Algorithm-based categorization following The Diagnostic and Statistical Manual of Mental Disorders: Fifth Edition (DSM-5) rules demonstrated 91.8% sensitivity, 71.7% specificity, and excellent test–retest reliability (κ = 0.783, 95% confidence interval (CI) = 0.583–0.983, p < 0.001). Total score-based categorization using a cutoff of 9 demonstrated high receiver operating characteristics area under the curve (AUC = 0.874) and high sensitivity (93.4%), specificity (78.3%), internal consistency (Cronbach’s α = 0.954), and test–retest reliability (κscores = 0.674, κinstrument = 0.783). Discussing both categorization approaches, we show that the ASKY is a promising instrument for ASD screening of older children.Lay AbstractIt is important that autistic children be diagnosed as early as possible so their needs can be met and their families can gain important insights into their behavior and interact with them appropriately. However, very few autism screening instruments are appropriate for children who have outgrown early childhood. The Autism Screen for Kids and Youth (ASKY) presents parents of children aged 4–18 years with 30 items that relate to autistic behaviors as defined by the current clinical diagnostic criteria for autism spectrum disorder (DSM-5 ASD). We evaluated the Hebrew instrument’s performance on 167 autistic and non-autistic children and adolescents. We found that the ASKY algorithm correctly identified 92% of the autistic individuals as “probable ASD” and correctly identified 72% of the non-autistic individuals as “probable non-ASD,” with these classifications showing excellent stability over time. Using total questionnaire score instead of the algorithm improved the ASKY’s ability to correctly identify autistic individuals as “probable ASD” and non-autistic individuals as “probable non-ASD” to 93% and 78%, respectively. Overall, the ASKY is a promising instrument for ASD screening of older children.
Autism: The International Journal of Research and Practice – SAGE
Published: Jan 1, 2023
Keywords: adolescents; autism; autism spectrum disorder; pre-school children; school-age children; screening
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.