Health-related quality of life among Canadians with migraine
Bibliographic record
Abstract
The objective was to determine the impact of migraine on health-related quality of life (HRQOL) among Canadians. Analysis was based on the public use microdata set of the Canadian Community Health Survey (CCHS), limited to those aged > or = 15 residing in Manitoba. HRQOL was measured using the SF-36 survey, which covers 8 health concepts. Multivariate linear regression was used to model each SF-36 scale against age, gender, education, income, migraine status and presence of mood or anxiety disorders. Of the 7236 CCHS respondents, 9.7% reported a diagnosis of migraine. Reported migraine predicted statistically significant (p<0.0001) lower HRQOL in all SF-36 domains with profound impairment of physical role, bodily pain and general health. Those reporting a mood disorder scored significantly lower in all domains with pronounced effects on emotional role, social functioning and general health. Reported anxiety disorder was associated with lower HRQOL in 6/8 domains. Canadians with migraine report significant impairment in HRQOL compared to the general population, independent of psychiatric morbidity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".