| Title |
Effects of Child Characteristics on the Autism Diagnostic Interview-Revised: Implications for Use of Scores as a Measure of ASD Severity
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, June 2012
|
| DOI | 10.1007/s10803-012-1576-y |
| Pubmed ID | |
| Authors | |
| Abstract |
The Autism Diagnostic Interview-Revised (ADI-R) is commonly used to inform diagnoses of autism spectrum disorders (ASD). Considering the time dedicated to using the ADI-R, it is of interest to expand the ways in which information obtained from this interview is used. The current study examines how algorithm totals reflecting past (ADI-Diagnostic) and current (ADI-Current) behaviors are influenced by child characteristics, such as demographics, behavioral problems and developmental level. Children with less language at the time of the interview had higher ADI-Diagnostic and ADI-Current. ADI-Diagnostic totals were also associated with age; parents of older children reported more severe past behaviors. Recommendations are provided regarding the use of the ADI-R as a measure of ASD severity, taking language and age into account. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 50% |
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Italy | 1 | <1% |
| France | 1 | <1% |
| Unknown | 130 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 18% |
| Student > Ph. D. Student | 15 | 11% |
| Researcher | 13 | 10% |
| Student > Doctoral Student | 12 | 9% |
| Student > Bachelor | 11 | 8% |
| Other | 31 | 23% |
| Unknown | 27 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 53 | 40% |
| Medicine and Dentistry | 17 | 13% |
| Social Sciences | 8 | 6% |
| Neuroscience | 7 | 5% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 10 | 8% |
| Unknown | 34 | 26% |