Canadian Adolescents With Migraine: Impaired Health-Related Quality of Life
Bibliographic record
Abstract
The objective of this study was to determine the impact of migraine headaches on health-related quality of life among Canadian adolescents. The Canadian Community Health Survey (CCHS) collects information related to health status, health care utilization, and health determinants for the Canadian population. Analysis was limited to those adolescents 12-19 years of age residing in Manitoba. Respondents reported whether they had migraine and mood/anxiety disorders. Health-related quality of life was measured using the Short Form-36 survey, which covers 8 health concepts related to functional status, well-being, and overall health. Multivariate linear regression analysis was used to model each Short Form-36 scale against age (12-14 years vs 15-19 years), gender, migraine, and the presence of a mood or anxiety disorder. The CCHS was completed by 994 respondents; 9.3% (95% confidence interval, 7.3%-11.5%) reported a diagnosis of migraine. Reported migraine predicted both statistically (P < .0001) and clinically significantly lower health-related quality of life in all Short Form-36 domains except vitality and general health perceptions. Adolescents reporting a mood disorder (2.1%) scored significantly lower in 6 of 8 health-related quality of life domains, most pronounced for emotional role, general mental health, and social functioning. Canadian adolescents with migraine report clinically and statistically significant impairment in health-related quality of life compared to their peers, independent of psychiatric comorbidities.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".