What Predicts Early Math in Autism? A Study of Cognitive and Linguistic Factors.

This study aimed to examine early mathematical abilities in young children with autism aged four to seven without intellectual disabilities and their connection with autism severity, non-verbal intelligence, and linguistic abilities (receptive vocabulary and grammar). The study involved 42 children...

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Publicado en:Journal of Autism & Developmental Disorders Vol. 56; no. 6; pp. 2136 - 2148
Autores principales: Fernández-Cobos, Raúl, Polo-Blanco, Irene, Castroviejo, Elena, Juncal-Ruiz, Maria, Vicente, Agustín
Formato: research tables/charts Journal Article
Publicado: Springer Nature Jun2026
Acceso en línea:Ver este registro en EBSCOhost
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          Fernández-Cobos, Raúl
          Polo-Blanco, Irene
          Castroviejo, Elena
          Juncal-Ruiz, Maria
          Vicente, Agustín
        affil: https://ror.org/046ffzj20 Department of Mathematics, Statistics and Computer Science, Universidad de Cantabria, Avda. de los Castros 48, 39005, Santander, Spain
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          Autism Spectrum Disorder
          Linguistics Evaluation
          Cognition
          Mathematics In Infancy and Childhood
          Learning Disorders In Infancy and Childhood
          Human
          Descriptive Statistics
          Child Development
          Severity of Disability
          Analysis of Variance
          Post Hoc Analysis
          Pearson's Correlation Coefficient
          Cross Sectional Studies
          Male
          Female
          Child
          Regression
          Correlation Coefficient
          Grammar
          Children with Disabilities
          Child: 6-12 years
          Male
          Female
      ab: This study aimed to examine early mathematical abilities in young children with autism aged four to seven without intellectual disabilities and their connection with autism severity, non-verbal intelligence, and linguistic abilities (receptive vocabulary and grammar). The study involved 42 children with autism. We assessed participants' cognitive, mathematical, and linguistic abilities. Their mathematical performance was compared with that of typically developing children using standardized measures. Statistical analyses were conducted to identify potential cognitive or linguistic differences across groups based on mathematical performance, and to determine predictive factors for mathematical abilities in children with autism. The findings indicated a higher prevalence of mathematical difficulties among the participants compared to typically developing children. A classification based on mathematical performance revealed statistically significant differences in cognitive and linguistic variables across groups, particularly in the low-performance group. However, no significant differences were found according to autism severity between the groups. The analysis further identified that a combination of visuo-spatial and linguistic abilities was the most predictive factor for mathematical performance. The study suggests that young children with autism without intellectual disabilities may be more likely to experience mathematical difficulties compared to typically developing children. Assessing cognitive and linguistic abilities could serve as a predictive measure for mathematical difficulties of children with autism, even without a formal diagnosis. Future research, with larger samples or longitudinal approaches, could validate these findings or explore which specific mathematical abilities are more related to non-verbal intelligence and which ones to structural language.
      pubtype: Academic Journal
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    language: English
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