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Predictors of age at diagnosis in autism spectrum disorders: the use of multiple regression analyses and a classification tree on a clinical sample
- 1.0570644 - PSÚ 2024 DE eng J - Journal Article
Hrdlička, M. - Urbánek, Tomáš - Rotreklová, A. - Kultová, A. - Válek, O. - Dudová, I.
Predictors of age at diagnosis in autism spectrum disorders: the use of multiple regression analyses and a classification tree on a clinical sample.
European Child & Adolescent Psychiatry. Roč. 32, č. 3 (2023), s. 1-7. ISSN 1018-8827. E-ISSN 1435-165X
Institutional support: RVO:68081740
Keywords : autism spectrum disorders * age at diagnosis * shared household * ADOS * paternal age * maternal education
OECD category: Psychology (including human - machine relations)
Impact factor: 6.4, year: 2022
Method of publishing: Open access
https://link.springer.com/article/10.1007/s00787-023-02189-6
The increasing prevalence of autism spectrum disorders (ASD) has led to worldwide interest in factors influencing the age of ASD diagnosis. Parents or caregivers of 237 ASD children (193 boys, 44 girls) diagnosed using the Autism Diagnostic Observation Schedule (ADOS) completed a simple descriptive questionnaire. The data were analyzed using the variablecentered multiple regression analysis and the person-centered classification tree method. We believed that the concurrent use of these two methods could produce robust results. The mean age at diagnosis was 5.8 ± 2.2 years (median 5.3 years). Younger ages for ASD diagnosis were predicted (using multiple regression analysis) by higher scores in the ADOS social domain, higher scores in ADOS restrictive and repetitive behaviors and interest domain, higher maternal education, and the shared household of parents. Using the classification tree method, the subgroup with the lowest mean age at diagnosis were children, in whom the summation of ADOS communication and social domain scores was ≥ 17, and paternal age at the delivery was ≥ 29 years. In contrast, the subgroup with the oldest mean age at diagnosis included children with summed ADOS communication and social domain scores < 17 and maternal education at the elementary school level. The severity of autism and maternal education played a significant role in both types of data analysis focused on age at diagnosis.
Permanent Link: https://hdl.handle.net/11104/0341963
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