Prevalence of Reported Migraine Headaches in Canadian Adolescents
Bibliographic record
Abstract
OBJECTIVE: To examine self-reported prevalence data for migraine among adolescent Canadians and to explore how reported migraine treatment varies by age. METHODS: We analyzed the microdata files of the Canadian National Population Health Survey (1996-1997). Respondents reported whether they had "migraine headaches diagnosed by a health professional". They also reported whether they received "any treatment or medication for migraine headaches", with treatments subdivided into drug, diet or "other". RESULTS: 99.9% of 173,216 eligible respondents reported whether they had migraine headaches. Migraine was reported by 2.4% of Canadian youth aged 12-14 years and by 5.0% of 15-19 year-olds compared to 7.2% of adults aged > or = 20 years of age (p< 0.0001, chi-square). Active treatment was used by 51.0% - higher by females (53.1%) than males (44.7%) (p<0.0001 chi-square). Treatment was used by 45.1% of 12-14 year-olds, by 45.7% of 15-19 year-olds and by 51.5% of those > or = 20 years (p=0.0027). The nature of the active treatment choice (drug, diet or other) did not significantly vary within the age groups studied. CONCLUSIONS: We present robust estimates of self-report diagnosed migraine prevalence, derived from a large nationally representative population survey. Estimates of the prevalence of active treatment for migraine provide insight into the burden of migraine within this population.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".