27952
Sub-Dimensions of Impairments in ASD, Referring to Age, IQ and Gender – a Factor Analytical Analysis of the ASD-Net Database
Poster Presentation
Saturday, May 12, 2018: 11:30 AM-1:30 PM
Hall Grote Zaal (de Doelen ICC Rotterdam)
N. Wolff1, I. Kamp-Becker2, S. Köhne3, L. Poustka4, S. Roepke5, S. Stroth6, A. Langmann7 and V. Roessner8, (1)Department of Child and Adolescent Psychiatry, University Hospital Carl Gustav Carus Dresden, Dresden, Germany, (2)Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Philipps University Marburg, Schutzenstr 49, Germany, (3)Berlin School of Mind and Brain, Humboldt University Berlin, Berlin, Germany, (4)Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany, (5)Department of Psychiatry, Charite Berlin, Berlin, Germany, (6)Philipps University Marburg, Marburg, Germany, (7)Department of Child and Adolescent Psychiatry, , Psychosomatics and Psychotherapy, Medical Clinic, Philipps-University Marburg,, Marburg, IA, Germany, (8)Department of Child and Adolescent Psychiatry, University Hospital Carl Gustav Carus, Dresden, Germany
Background: Developmental Disorders, like Autism Spectrum Disorders (ASD) have their onset in early childhood and are characterized by a delay and a deviation in the development. It is further assumed that different autistic disorders (F84.0, F84.5, F84.1) cannot be categorially distinguished from one another, but should rather be arranged on one dimension. Therefore the question is raised how dimensions of different symptoms of ASD differ from each other depending on the applied Autism Diagnostic Observation Schedule (ADOS) module, age, gender, intelligence quotient (IQ) and the concrete ASD diagnose of the patient.
Objectives: Aim of the present talk is to specify separable dimensions of ASD by examining scores of the ADOS.
Methods: Using one of the largest internationally available samples, which is uniformly diagnosed according to gold standard (www.asd-net.de), data from N= 2613 patients (age 13.3± 10.4, IQ 97.4 ± 20.02) were analyzed. We applied factor-analytical analyses for each ADOS module and associate the observed factors with age, gender, IQ and diagnose of the patient. Further logistic regression analyses were applied to specify the forecasting power of the observed dimensions (factors).
Results: We observed that the numbers of factors vary depending on the applied module. In addition factors were very specifically associated with age, gender or IQ of the patients: while module 1 and 4 are for example multi-dimensionally dependent on different factors, we observed no association between age, gender or IQ for modules 2 and 3. In addition gender seems to influence factors of module 4 solely, while no influence was observed for module 1-3.
Conclusions: Based on the ASD-net database module-dependent sub-dimensions of the ASD symptomology could be identified which seem to have huge influence on the diagnostic process.
