HRDLIČKA, Michal, Tomáš URBÁNEK, Adéla ROTREKLOVÁ, Aneta KULTOVÁ, Ondřej VÁLEK and Iva DUDOVÁ. 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. NEW YORK: SPRINGER, 2024, vol. 33, No 4, p. 1171-1177. ISSN 1018-8827. Available from: https://dx.doi.org/10.1007/s00787-023-02189-6.
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Basic information
Original name Predictors of age at diagnosis in autism spectrum disorders : the use of multiple regression analyses and a classification tree on a clinical sample
Name in Czech Prediktory věku při stanovení diagnózy u porucha autistického spektra : užití mnohočetné regresní analýzy a klasifikačního stromu u klinického souboru
Authors HRDLIČKA, Michal (203 Czech Republic, guarantor, belonging to the institution), Tomáš URBÁNEK (203 Czech Republic, belonging to the institution), Adéla ROTREKLOVÁ (203 Czech Republic), Aneta KULTOVÁ (203 Czech Republic), Ondřej VÁLEK (203 Czech Republic) and Iva DUDOVÁ (203 Czech Republic).
Edition EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, NEW YORK, SPRINGER, 2024, 1018-8827.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50101 Psychology
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW link k full-textu Open Access na stránkách časopisu
Impact factor Impact factor: 6.400 in 2022
Organization unit Faculty of Arts
Doi http://dx.doi.org/10.1007/s00787-023-02189-6
UT WoS 000953074700001
Keywords (in Czech) Poruchy autistického spektra; věk diagnózy; společná domácnost, ADOS; věk otce; vzdělání matky
Keywords in English Autism spectrum disorders; Age at diagnosis; Shared household; ADOS; Paternal age; Maternal education
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. et Mgr. Stanislav Hasil, učo 415267. Changed: 26/6/2024 11:15.
Abstract
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 variable-centered 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.
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