Language Abilities of Russian Primary-School-Aged Children with Autism Spectrum Disorder: Evidence from Comprehensive Assessment.
Non-verbal IQ, not autism severity, best predicts how well Russian-speaking autistic kids will score across all language levels.
01Research in Context
What this study did
Arutiunian et al. (2022) gave a full language check-up to Russian-speaking elementary kids with autism. They tested every level: sounds, words, sentences, stories, and conversation rules.
The team wanted to know which child traits best forecast these scores. They looked at age, autism severity, and non-verbal IQ.
What they found
Language skills swung widely from child to child. One kid might master grammar yet stumble telling a story, while the next showed the opposite pattern.
Non-verbal IQ was the clear winner at predicting these scores. Age and autism severity added almost no clues.
How this fits with other research
Mayes et al. (2003) saw the same IQ split years earlier: young autistic students often score higher on non-verbal than verbal IQ subtests. Vardan’s finding that non-verbal IQ predicts language lifts that old snapshot into a practical rule.
Foldager et al. (2023) found that kids who produced fewer category words had more autism symptoms. Vardan shows the same wide scatter but adds that the scatter ties more to IQ than to symptom count, refining where we should look first.
Diehl et al. (2012) reported longer, clumsier prosody imitation in autistic speakers. Vardan’s phonology data line up with that motor-planning hiccup, confirming the sound level needs its own check even when vocabulary looks okay.
Why it matters
When you test a Russian-speaking child with ASD, run a quick non-verbal IQ task early. If the score is low, plan for broad language support across sounds, words, and stories. If the score is high, still probe every level—strength in one area can hide weakness in another. This approach prevents both over-targeting autism behaviors and under-serving hidden language gaps.
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02At a glance
03Original abstract
The purpose of the present research was to comprehensively assess the language abilities of Russian primary-school-aged children with Autism Spectrum Disorder (ASD), varying in non-verbal IQ, at all linguistic levels (phonology, lexicon, morphosyntax, and discourse) in production and comprehension. Yet, the influence of such non-language factors as children's age, the severity of autistic traits, and non-verbal IQ on language functioning was studied. Our results indicate a high variability of language skills in children with ASD (from normal to impaired) which is in line with the previous studies. Interestingly, the number of children with normal language abilities was related to the linguistic levels: according to more complex morphosyntax and discourse tests, fewer children with ASD were within the normal range unlike the results in simpler phonological and lexical tests. Importantly, we found that language abilities were best predicted by non-verbal IQ but were independent from age and the severity of autistic traits. The findings support the claim that formal language assessment of children with ASD needs to include all linguistic levels, from phonology to discourse, for helping speech-language therapists to choose an appropriate therapy target.
Journal of autism and developmental disorders, 2022 · doi:10.1080/2050571X.2015.1133488