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.

Základní údaje

Originální název

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

Název česky

Prediktory věku při stanovení diagnózy u porucha autistického spektra : užití mnohočetné regresní analýzy a klasifikačního stromu u klinického souboru

Autoři

HRDLIČKA, Michal (203 Česká republika, garant, domácí), Tomáš URBÁNEK (203 Česká republika, domácí), Adéla ROTREKLOVÁ (203 Česká republika), Aneta KULTOVÁ (203 Česká republika), Ondřej VÁLEK (203 Česká republika) a Iva DUDOVÁ (203 Česká republika)

Vydání

EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, NEW YORK, SPRINGER, 2024, 1018-8827

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50101 Psychology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

link k full-textu Open Access na stránkách časopisu

Impakt faktor

Impact factor: 6.400 v roce 2022

Organizační jednotka

Filozofická fakulta

DOI

http://dx.doi.org/10.1007/s00787-023-02189-6

UT WoS

000953074700001

Klíčová slova česky

Poruchy autistického spektra; věk diagnózy; společná domácnost, ADOS; věk otce; vzdělání matky

Klíčová slova anglicky

Autism spectrum disorders; Age at diagnosis; Shared household; ADOS; Paternal age; Maternal education

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 26. 6. 2024 11:15, Mgr. et Mgr. Stanislav Hasil

Anotace

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 a 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, roč. 33, č. 4, s. 1171-1177. ISSN 1018-8827. Dostupné z: 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 a 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, roč.~33, č.~4, s.~1171-1177. ISSN~1018-8827. Dostupné z: https://dx.doi.org/10.1007/s00787-023-02189-6.

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