What Predicts Early Math in Autism? A Study of Cognitive and Linguistic Factors.
Raúl Fernández-Cobos, Irene Polo-Blanco, Elena Castroviejo and 2 others
PMID 39888554WHAT IT FOUND
Children with autism scored lower on early math tests than age-matched peers, but autism severity did not predict these scores.
Instead, non-verbal intelligence and grammatical comprehension were the strongest predictors of mathematical ability.
Key findings
0113 of the 42 children with autism fell into the low mathematical performance group, a frequency significantly higher than expected in typically developing children.
02Autism severity showed no significant correlation with mathematical performance scores.
03Non-verbal intelligence and grammatical comprehension (CEG scores) were the primary predictors of mathematical performance, explaining 54% of the variability.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The study lacked a concurrent control group, comparing participants instead to normative data. The sample size (42) may not capture the full heterogeneity of profiles in children with autism. Statistical analysis for specific sub-skills (informal vs. formal math) was limited by the small number of items for younger children.
Declared interests
Funded by Universidad de Cantabria; no conflicts of interest declared.
The easy way to misread this
Do not assume that children with more severe autism will struggle more with early math. The study found no significant correlation between autism severity and mathematical performance, suggesting that cognitive and linguistic factors are more predictive than diagnostic severity.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →