Title |
Brief Report: Best Discriminators for Identifying Children with Autism Spectrum Disorder at an 18-Month Health Check-Up in Japan
|
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Published in |
Journal of Autism and Developmental Disorders, July 2015
|
DOI | 10.1007/s10803-015-2527-1 |
Pubmed ID | |
Authors |
Yoko Kamio, Hideyuki Haraguchi, Andrew Stickley, Kazuo Ogino, Makoto Ishitobi, Hidetoshi Takahashi |
Abstract |
To determine the best discriminative items for identifying young children with autism spectrum disorders (ASD), we conducted a secondary analysis using longitudinal cohort data that included the Japanese version of the 23-item modified checklist for autism in toddlers (M-CHAT-JV). M-CHAT-JV data at 18 months of age and diagnostic information evaluated at age 3 or later from 1851 Japanese children was used to isolate six highly discriminative items. Using data from two different community samples (n = 1851, n = 665) these items were shown to have comparable psychometric values with those of the full version. Our results suggest that these items might work as a short form screener for early identification of ASD in primary care settings where there are time constraints on screening. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Singapore | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 103 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 15% |
Researcher | 15 | 14% |
Student > Bachelor | 15 | 14% |
Student > Master | 14 | 13% |
Student > Doctoral Student | 7 | 7% |
Other | 17 | 16% |
Unknown | 21 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 29 | 28% |
Medicine and Dentistry | 22 | 21% |
Social Sciences | 8 | 8% |
Nursing and Health Professions | 6 | 6% |
Neuroscience | 3 | 3% |
Other | 9 | 9% |
Unknown | 28 | 27% |