A193 PERCEIVED BARRIERS TO GLUTEN-FREE FOOD ACCESS ON-CAMPUS EXPERIENCED BY STUDENTS FROM DIFFERENT CANADIAN UNIVERSITIES AND COLLEGES
Notice bibliographique
Résumé
Abstract Background Students with gluten-related disorders (GRD), a spectrum of conditions including celiac disease (CeD) and non-celiac wheat sensitivity (NCWS), often experience challenges when accessing gluten-free (GF) foods. Aims To identify barriers perceived by students with GRD to access GF products on-campus of universities and colleges across Canada. Methods We conducted a cross sectional survey using the RedCap platform and distributed it to the Canadian Celiac Association community. We included students who reported adopting a GFD for various reasons including CeD and other GRD. We collected data on adherence to the GFD using a validated questionnaire (CDAT), presence of perceived barriers to follow a GFD while dining on campus, persistent symptoms, and altered quality of life. Continuous data are expressed as median (IQR), and categorical data as proportions of patients. Mann-Whitney U and Chi2 with Fisher correction were used to assess differences between groups. Results Seventy nine students responded to the survey (5% male and median age = 25 yrs) and 78 had complete data for analysis. Of the 78 students, 52 (66.6%) reported a diagnosis of CeD, while 26 were adopting a GFD for other reasons (non-CeD). The majority were enrolled in university programs (72/78) and 18% were living on-campus. Almost 90% reported difficulties maintaining a GFD while dining on-campus. Similar proportion of CeD and non-CeD reported eating gluten accidentally (75% vs 80%), while 15% reported eating gluten intentionally on-campus at least a few times per week. This was observed more frequently in non-CeD compared with students with CeD (61% vs 17%; p=0.04). Barriers identified in CeD versus non-CeD groups were related to a reduced GF-food variety (48% vs 69%), lack of availability of GF food (21% vs 46%) and increased cost (46% vs 81%) compared with gluten-containing counterparts. The majority of participants were concerned whether the food available on-campus was truly GF (80% vs 54%) as they reported foods not properly labelled. The majority of participants considered their overall health (79%) and quality of life (65%) was fair to terrible while dining on campus. During the pandemic, 76% of them perceived that it was easier to stick to a GF diet. Conclusions Students from various universities and colleges across Canada experience barriers to access GF food on-campus. This has a significant impact on their overall health and quality of life. Proper food labeling, GF certification and improving the variety of GF food on-campus are options for improvement. Funding Agencies None
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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 | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».