Gender-based discrimination and its influence on mental health symptoms among people living with and without migraine: A case-control study
Bibliographic record
Abstract
Women are more likely than men to experience migraine and to endorse worse symptoms. Migraine is associated with anxiety, depressive and posttraumatic stress disorders. Women who experience migraine are also more likely to report a history of discriminatory experiences. This study investigated migraine characteristics, mental health outcomes and gender-based discrimination among women using a case-control study with a migraine and non-migraine sample. Two hundred ninety-two women completed an online survey with measures of migraine characteristics (as applicable), mental health symptoms, and gender-based discrimination. Women living with migraine experienced worse mental health symptoms and more gender-based discrimination than the non-migraine group. Migraine frequency and lifetime day-to-day discrimination significantly predicted anxiety, depression, and trauma symptoms, while anticipated discrimination significantly predicted trauma symptoms; lifetime day-to-day discrimination significantly predicted migraine-related reduction in productivity; and gender-based discrimination significantly predicted migraine-related social absences. These findings may be used to improve management of migraine among women.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".