| Title |
How to Use the ADI-R for Classifying Autism Spectrum Disorders? Psychometric Properties of Criteria from the Literature in 1,204 Dutch Children
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, February 2013
|
| DOI | 10.1007/s10803-013-1783-1 |
| Pubmed ID | |
| Authors |
Annelies de Bildt, Iris J. Oosterling, Natasja D. J. van Lang, Sanne Kuijper, Vera Dekker, Sjoerd Sytema, Anoek M. Oerlemans, Daphne J. van Steijn, Janne C. Visser, Nanda N. Rommelse, Ruud B. Minderaa, Herman van Engeland, Rutger-Jan van der Gaag, Jan K. Buitelaar, Maretha V. de Jonge |
| Abstract |
The algorithm of the Autism Diagnostic Interview-Revised provides criteria for autism versus non-autism according to DSM-IV. Criteria for the broader autism spectrum disorders are needed. This study investigated the validity of seven sets of criteria from the literature, in 1,204 Dutch children (aged 3-18 years) with and without mental retardation. The original criteria (Rutter et al. in ADI-R Autism Diagnostic Interview Revised. Manual. Western Psychological Services, Los Angeles, 2003) well discriminated ASD from non-ASD in MR. All other criteria (IMGSAC in Am Soc Hum Genet 69:570-581 2001; Sung et al. in Am J Hum Genet 76: 68-81, 2005; Risi et al. in J Am Acad Child Adolesc Psychiatry 45: 1094-1103, 2006) were sensitive at the cost of specificity, bearing the risk of overinclusiveness. In the group without MR, clinicians should decide whether sensitivity or specificity is aimed for, to choose the appropriate criteria. Including the Autism Diagnostic Observation Schedule revised algorithms in the classification, the specificity increases, at the cost of sensitivity. This study adds to a more valid judgment on which criteria to use for specific objectives. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 85 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 19% |
| Researcher | 12 | 14% |
| Student > Bachelor | 12 | 14% |
| Student > Master | 10 | 12% |
| Student > Doctoral Student | 9 | 10% |
| Other | 13 | 15% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 33 | 38% |
| Medicine and Dentistry | 15 | 17% |
| Social Sciences | 5 | 6% |
| Agricultural and Biological Sciences | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 12 | 14% |
| Unknown | 15 | 17% |
Attention Score in Context
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#23,010,126
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Outputs from Journal of Autism and Developmental Disorders
#4,921
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#263,348
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Outputs of similar age from Journal of Autism and Developmental Disorders
#46
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