The Clinical Spectrum of Developmental Language Impairment in School-Aged Children: Language, Cognitive, and Motor Findings
Bibliographic record
Abstract
OBJECTIVE: Our goal was to evaluate detailed school-age language, nonverbal cognitive, and motor development in children with developmental language impairment compared with age-matched controls. METHODS: Children with developmental language impairment or normal language development (controls) aged 7 to 13 years were recruited. Children underwent language assessment (Clinical Evaluation of Language Fundamentals-4, Peabody Picture Vocabulary-3, Goldman-Fristoe Test of Articulation-2), nonverbal cognitive assessment (Wechsler Intelligence Scale for Children-IV), and motor assessment (Movement Assessment Battery for Children). Exclusion criteria were nonverbal IQ below the 5th percentile or an acquired language, hearing, autistic spectrum, or neurologic disorder. RESULTS: Eleven children with developmental language impairment (7:4 boys/girls; mean age: 10.1 +/- 0.8 years) and 12 controls (5:7 boys/girls; mean age: 9.5 +/- 1.8 years) were recruited. Children with developmental language impairment showed lower mean scores on language (Clinical Evaluation of Language Fundamentals-4--developmental language impairment: 79.7 +/- 16.5; controls: 109.2 +/- 9.6; Goldman-Fristoe Test of Articulation-2--developmental language impairment: 94.1 +/- 10.6; controls: 104.0 +/- 2.8; Peabody Picture Vocabulary-3--developmental language impairment: 90.5 +/- 13.8; controls: 100.1 +/- 11.6), cognitive (Wechsler Intelligence Scale for Children-IV--developmental language impairment: 99.5 +/- 15.5; controls: 113.5 +/- 11.9), and motor measures (Movement Assessment Battery for Children percentile--developmental language impairment: 12.7 +/- 16.7; controls: 66.1 +/- 30.6) and greater discrepancies between cognitive and language scores (Wechsler Intelligence Scale for Children-IV/Clinical Evaluation of Language Fundamentals-4--developmental language impairment: 17.8 +/- 17.8; controls: 1.2 +/- 12.7). Motor impairment was more common in children with developmental language impairment (70%) than controls (8%). CONCLUSIONS: Developmental language impairment is characterized by a broad spectrum of developmental impairments. Children identified on the basis of language impairment show significant motor comorbidity. Motor assessment should form part of the evaluation and follow-up of children with developmental language impairment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".