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

J 2024

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

HRDLIČKA, Michal, Tomáš URBÁNEK, Adéla ROTREKLOVÁ, Aneta KULTOVÁ, Ondřej VÁLEK et. al.

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50101 Psychology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

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

Abstract

V originále

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.

Citovat

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.

@article{2298968,
   author = {Hrdlička, Michal and Urbánek, Tomáš and Rotreklová, Adéla and Kultová, Aneta and Válek, Ondřej and Dudová, Iva},
   article_location = {NEW YORK},
   article_number = {4},
   doi = {http://dx.doi.org/10.1007/s00787-023-02189-6},
   keywords = {Autism spectrum disorders; Age at diagnosis; Shared household; ADOS; Paternal age; Maternal education},
   language = {eng},
   issn = {1018-8827},
   journal = {EUROPEAN CHILD & ADOLESCENT PSYCHIATRY},
   title = {Predictors of age at diagnosis in autism spectrum disorders : the use of multiple regression analyses and a classification tree on a clinical sample},
   url = {https://link.springer.com/article/10.1007/s00787-023-02189-6},
   volume = {33},
   year = {2024}
}

TY  - JOUR
ID  - 2298968
AU  - Hrdlička, Michal - Urbánek, Tomáš - Rotreklová, Adéla - Kultová, Aneta - Válek, Ondřej - Dudová, Iva
PY  - 2024
TI  - Predictors of age at diagnosis in autism spectrum disorders : the use of multiple regression analyses and a classification tree on a clinical sample
JF  - EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
VL  - 33
IS  - 4
SP  - 1171-1177
EP  - 1171-1177
PB  - SPRINGER
SN  - 10188827
KW  - Autism spectrum disorders
KW  - Age at diagnosis
KW  - Shared household
KW  - ADOS
KW  - Paternal age
KW  - Maternal education
UR  - https://link.springer.com/article/10.1007/s00787-023-02189-6
N2  - 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.
ER  -

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. \textit{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.

Detailed Information on Publication Record