Lifestyle, Cognition, and Psychological Health Factors in Middle-Aged and Older Adult Migraineurs: A Population-Based Cross-Sectional Study Examining Findings from the Canadian Longitudinal Study on Aging (CLSA)
Bibliographic record
Abstract
Background: Migraine is a debilitating neurological disorder, affecting 8.3% of the Canadian population and 14% of the global population. Previous research focused on the range of 18 to 40 years of age, thus the middle-aged and older adult population affected by migraine has been understudied. \nObjective: The primary purpose of this study was to investigate the differences between middle and older-aged Canadian migraineurs compared to non-migraineurs with respect to their lifestyle choices, cognitive abilities, psychological well-being, and general health factors.\nMethods: This population-based cross-sectional study uses secondary data collected by the Canadian Longitudinal Study on Aging (CLSA) during the first follow-up evaluation, encompassing two cohorts: Comprehensive cohort (nmigraine=3,736, nnon-migraine=22,974 with 14.0% migraineurs) and Tracking cohort (nmigraine=2,270, nnon-migraine=14,759 with 13.3% migraineurs).\nResults: Comparisons were made between participants with a migraine diagnosis and those without. Females were more than twice as likely to report having a migraine diagnosis. Our results indicated minimal differences between migraineurs and non-migraineurs in terms of the frequency of daily physical activity; however, migraineurs tended to report a shorter duration of daily physical activity regardless of the intensity level. Migraineurs exhibited higher nutritional risk, and tended to avoid foods that were deemed ‘migraine triggers’. Also, migraineurs perceived their memory as declining and worried about that decline, yet results displayed only trivial differences between migraineurs’ and non-migraineurs’ memory. Psychologically, migraineurs demonstrated a higher incidence of psychological distress and lower levels of satisfaction with life. Additionally, migraineurs rated their physical, mental, and oral health lower than non-migraineurs, and reported a higher intensity of pain and discomfort resulting in a higher frequency of missed activities with higher functional impairment scores. Aligning with migraine comorbidities, migraineurs had an increased prevalence of depression, mood disorders, anxiety, and epilepsy.\nConclusion: Understanding the inherent differences between middle and older-aged migraineurs as compared to non-migraineurs is essential for a complete depiction of this neurological disorder over the lifespan. These findings will allow future researchers and clinicians to target their exploration and treatments on improving the quality of migraineurs’ lives and the further promotion of healthy aging.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".