Topography of behavior problems among children with neurodevelopmental conditions: Profile differences and overlaps
Bibliographic record
Abstract
BACKGROUND: This exploratory proof of principle study examined the extent to which behavior problems represent a functional characteristic that crosses diagnostic boundaries. METHODS: This cross-sectional study pertains to 179 caregivers of children, aged 4-13 years (M = 8.27) with cerebral palsy (n = 77), autism spectrum disorder (n = 58), and global developmental delay/intellectual disability (n = 44). Caregivers completed the Strengths and Difficulties Questionnaire, which provides a measure of conduct problems, emotional symptoms, hyperactivity-inattention, peer problems, as well as total difficulties. RESULTS: Behavior problem severity differed across diagnostic groups (p < .001). Visual examination of box plots indicated substantial overlap within Strengths and Difficulties Questionnaire subscales across children with autism spectrum disorder, cerebral palsy, and global developmental delay/intellectual disability. Children within each condition demonstrated matching profile topographies, such that hyperactivity-inattention difficulties were most severe. Repeated measures analysis of variances confirmed that children within each group received significantly higher ratings on the hyperactivity-inattention subscale (all p < .001). CONCLUSIONS: The approach adopted to examine the data and findings have the potential to inform how we conceptualize and study behavior problems among children with neurodevelopmental conditions. Importantly, children with particular conditions did not demonstrate unique constellations of difficulties. Clinicians must therefore be attuned to the possibility of commonality in behavior problems across children with disparate diagnoses, irrespective of syndrome-specific expectations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".