Cognitive and motor abilities of young children and risk of injuries in the home
Bibliographic record
Abstract
OBJECTIVE: Residential injury is a leading cause of morbidity and mortality in US children. Rates and types of injury vary by child age but little is known about injury risk based on child cognitive and motor abilities. The objective of this study was to determine whether cognitive or motor development in young children is associated with residential injury. METHODS: We employed data from Health Outcomes and Measures of the Environment (HOME) Study. Parent report of medically attended injury was obtained at regular intervals from 0 to 42 months. Child development was assessed at 12, 24 and 36 months using Bayley Scales of Infant and Toddler Development, 2nd edition, which generates both mental developmental index (MDI) and a psychomotor developmental index (PDI). Injury risk was modelled using multivariable logistic regression as function of child's MDI or PDI. Effects of MDI and PDI on injury risk were examined separately and jointly, adjusting for important covariates. RESULTS: Children with cognitive delay (MDI <77) were at significantly higher risk of injury than children without cognitive delay (OR=3.7, 95% CI 1.4 to 10.5, p=0.012). There was no significant association of PDI with injury. There was, however, significant interaction of MDI and PDI (p=0.02); children with cognitive delay but normal motor development were at significantly higher risk of injury than children with normal cognitive and motor development (OR=9.6, 95% CI 2.6 to 35.8, p=0.001). CONCLUSIONS: Children with cognitive delays, especially those with normal motor development, are at elevated risk for residential injuries. Injury prevention efforts should target children with developmental delays. CLINICAL TRIALS NUMBER: NCT00129324; post-results.
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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 | 0.001 | 0.001 |
| 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".