Abstract
The screening power of the CBCL/1½–5’s Withdrawn and Diagnostic and Statistical Manual of Mental Disorders-Pervasive Developmental Problems (DSM-PDP) scales to identify children diagnosed with autism spectrum disorder at 24 months was tested in a longitudinal, familial high-risk study. Participants were 56 children at high risk for autism spectrum disorder due to an affected older sibling (high-risk group) and 26 low-risk children with a typically developing older sibling (low-risk group). At 24 months, 13 of the 56 high-risk children were diagnosed with autism spectrum disorder, whereas the other 43 were not. The high-risk children diagnosed with autism spectrum disorder group had significantly higher scores on the CBCL/1½–5’s Diagnostic and Statistical Manual of Mental Disorders-Pervasive Developmental Problems and Withdrawn scales than children in the low-risk and high-risk children not diagnosed with autism spectrum disorder groups (n2 p > 0.50). Receiver operating characteristic analyses yielded very high area under the curve values (0.91 and 0.89), and a cut point of T ⩾ 60 yielded sensitivity of 77% and specificity of 97% to 99% between the high-risk children diagnosed with autism spectrum disorder and the combination of low-risk and high-risk children not diagnosed with autism spectrum disorder. Consistent with several previous studies, the CBCL/1½–5’s Diagnostic and Statistical Manual of Mental Disorders-Pervasive Developmental Problems scale and the Withdrawn syndrome differentiated well between children diagnosed with autism spectrum disorder and those not diagnosed.
Original language | English (US) |
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Pages (from-to) | 29-38 |
Number of pages | 10 |
Journal | Autism |
Volume | 23 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2019 |
Bibliographical note
Publisher Copyright:© The Author(s) 2017.
Keywords
- CBCL/1½–5
- Diagnostic and Statistical Manual of Mental Disorders-Pervasive Developmental Problems scale
- autism spectrum disorder screening
- baby sibling paradigm
- familial high-risk
PubMed: MeSH publication types
- Journal Article
- Research Support, N.I.H., Extramural