Predictors of age at diagnosis in autism spectrum disorders: the use of multiple regression analyses and a classification tree on a clinical sample

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081740%3A_____%2F24%3A00570644" target="_blank" >RIV/68081740:_____/24:00570644 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14210/24:00135156 RIV/00216208:11130/24:10458066 RIV/00064203:_____/24:10458066

Result on the web

<a href="https://link.springer.com/article/10.1007/s00787-023-02189-6" target="_blank" >https://link.springer.com/article/10.1007/s00787-023-02189-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00787-023-02189-6" target="_blank" >10.1007/s00787-023-02189-6</a>

Result language

angličtina

Original language name

Predictors of age at diagnosis in autism spectrum disorders: the use of multiple regression analyses and a classification tree on a clinical sample

Original language description

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.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

50101 - Psychology (including human - machine relations)

Project

<a href="/en/project/NV18-04-00085" target="_blank" >NV18-04-00085: The role of maternal autoantibodies in pathogenesis of autism spectrum disorders</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

European Child & Adolescent Psychiatry

ISSN

1018-8827

e-ISSN

1435-165X

Volume of the periodical

33

Issue of the periodical within the volume

4

Country of publishing house

DE - GERMANY

Number of pages

7

Pages from-to

1171-1177

UT code for WoS article

000953074700001

EID of the result in the Scopus database

2-s2.0-85150275489