Chronic physical health conditions and disability among Canadian school-aged children: a national profile
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to provide a national health and disability profile of Canadian school-aged children based on the World Health Organization's definitions of health condition and disability that would facilitate international comparisons of child health data. METHODS: Data were used from the National Longitudinal Survey of Children and Youth, a 1994 - 95 population-based sample of 22 831 children. FINDINGS: An estimated total of 30.3% of Canadian children aged 6 to 11 had one or more chronic physical health conditions/impairments, while 3.6% had activity-limiting conditions/impairments. Children living with one parent were significantly more likely to have activity-limiting conditions/impairments than those living with two parents. Children with conditions/impairments, particularly those with activity limitations, were significantly more likely than children without health problems to have experienced mental health conditions and learning disabilities, missed school days, received special education, visited health professionals, been hospitalized, and used prescription medication. CONCLUSION: Important differences were found among children in a number of areas as a function of overall physical health status. The findings emphasize the importance of measuring activity limitations distinctly from chronic conditions and impairments, and, perhaps, of measuring impairments distinctly from chronic conditions, and of comparing children with such health problems to children without health problems in order to obtain a more accurate picture of the impact of health on children's lives. The World Health Organization's distinct definitions of health condition and disability facilitate a dimensional approach for describing child health that can serve to clarify this field of study and improve comparability of data across countries.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".