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Enregistrement W2177128987 · doi:10.1177/0333102415617416

Food insecurity and migraine

2015· editorial· en· W2177128987 sur OpenAlexaboutno aff
Pamela M. Rist, Tobias Kurth

Notice bibliographique

RevueCephalalgia · 2015
Typeeditorial
Langueen
DomaineMedicine
ThématiqueMaternal Mental Health During Pregnancy and Postpartum
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMigraineMedicineFood insecurityEnvironmental healthPsychiatryFood securityEcologyBiology

Résumé

récupéré en direct d'OpenAlex

Food security describes the concept of having access to food under the aspect of nutritional well-being (1). In contrast, food insecurity occurs when individuals do not have adequate physical, social, or economic access to sufficient, safe, and nutritious food which meets their dietary needs and food preferences for an active and healthy life (2). A large body of research has identified risk factors for food insecurity, including income, socioeconomic status, race and ethnicity, and has suggested that the association between health and food insecurity may be bidirectional (3). Although the association between food insecurity and some chronic health conditions has been previously examined, little is known about the association between migraine and food insecurity. Previous studies have suggested that specific food items may be triggering factors for migraine (4,5) and individuals with migraine have or develop a specific food utilization pattern (6) suggesting an interplay between migraine and food intake. Additionally, migraine and food insecurity both share associations with factors like socioeconomic status, body weight, and depression. In this issue of Cephalalgia, Dooley and colleagues evaluate the cross-sectional association between food insecurity and migraine in a Canadian community health survey (7). Among those who reported a physician-diagnosed migraine, 14.8% experienced food insecurity while only 6.8% of those not reporting migraine experienced food insecurity (odds ratio 2.4, 95% confidence interval 2.0–2.8). The authors also explored whether variables previously associated with food insecurity in other populations were associated with food insecurity among those who reported migraine. Age, gender, total household income, family size, owning one’s dwelling, self-perceived health, and reported mood disorder were all associated with food insecurity among migraineurs. After adjusting for these factors, the association between migraine and food insecurity persisted. The authors also explored whether food insecurity was unique to migraine or if other conditions were also associated with food insecurity. They observed that asthma and arthritis were also associated with food insecurity but bowel disorders and diabetes were not associated with it. The results of this study lead to the following conclusions. First, the factors affecting food insecurity among migraineurs are similar to those seen in previous studies of other populations. Second, previously identified factors for food insecurity cannot account for the association between migraine and food insecurity. Third, although migraine was associated with food insecurity, the association between other chronic health conditions and food insecurity suggests that this association is not unique and may be due to the chronic nature and functional consequences of migraine rather than the specific biological mechanisms which cause it. While this study helps to highlight the higher prevalence of food insecurity among migraineurs compared to those without migraine, several questions remain. First, due to its cross-sectional nature, the authors are not able to determine whether food insecurity precedes migraine or occurs after migraine. Second, food insecurity was measured at the household level while migraine was measured at the individual level. We do not know if the health conditions of other members of the household may be the underlying cause of the food insecurity. Third, the authors only examined previously identified risk factors for food insecurity and did not examine whether migraineurs may have additional risk factors for food insecurity compared to the general population. Another unanswered question is if some migraineurs are at higher risk for food insecurity than other migraineurs. For example, are those who experience higher migraine frequency or a higher morbidity burden at increased risk for food insecurity? Better understanding of the underlying causes of food insecurity among migraineurs and the role that

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil0,064

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

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.

Tête enseignante Opus0,019
Tête enseignante GPT0,299
Écart entre enseignants0,280 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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