IS THERE AN ASSOCIATION BETWEEN BODY MASS INDEX AND MIGRAINE HEADACHES WITHIN THE CANADIAN POPULATION?
Notice bibliographique
Résumé
Introduction Obesity (a body mass index ≥30 kg/m2) and migraine headaches are both chronic conditions that have become increasingly common within the Canadian population. Increasing body mass index (BMI) is associated with increased frequency and severity of migraine headaches, but not its prevalence, such that increasing BMI leads to greater disability by exacerbating migraine symptoms among migraneurs. The association between increasing BMI and the prevalence of migraine headaches, however, has provided inconsistent findings. There is uncertainty as to whether there is an association between increasing BMI and an individual's risk of developing and having this condition. Some studies have found that there is an association, whereas other studies have dismissed such a relationship. There has been little to no Canadian studies conducted to determine the association between increasing BMI and the prevalence of migraines, and the Canadian Community Health Survey (CCHS) dataset has not been used as a source population. Objective To investigate whether increasing BMI (underweight, normal, overweight, obese) was significantly associated with a linear dose-response trend in the prevalence of migraine headaches. It is hypothesized that compared with normal weight, increasing BMI would result in a larger prevalence. Methods A sample population of 113 235 subjects from the 2007–2008 cross-sectional CCHS, Cycle 4.1 was used. Subjects included those who had responded to questions regarding self-reported height, weight and migraine status. Subjects less than 18 years of age, and those who were pregnant, were excluded. Log binomial modelling was used to derive unadjusted and adjusted prevalence ratio (PR) estimates, with their corresponding 95% CI. Population weights and average design effects were incorporated to adjust for the effects of complex survey designs. Results When adjusting for covariates compared with normal weight, the PR for migraines was highest and significant only among the obese, 1.19 (95% CI 1.12 to 1.27), followed by underweight which was not significant, 1.09 (95% CI 0.97 to 1.23), and overweight which was marginally significant, 1.06 (95% CI 1.00 to 1.12). Conclusions Obese and overweight BMI were significantly associated with increased prevalence of migraine headaches. Although a U-shaped pattern was observed with obese and underweight at the extremes, when addressing the non-significant PR estimates for underweight, a resulting linear dose-response trend was present, thus, resulting in the obese having the highest PR followed by overweight and normal weight. Small samples of underweight subjects, various biases, and/or an actual plausible mechanism for underweight and migraine prevalence could have accounted for the high PR estimates for underweight. Additional studies to verify results are warranted.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,006 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».