OP05 Association of ultra-processed food intake with risk of Inflammatory Bowel Disease from the prospective urban rural epidemiology (PURE) study: A prospective cohort study
Notice bibliographique
Résumé
Abstract Background Dietary factors may influence the risk of developing inflammatory bowel disease (IBD), but evidence from large, prospective studies is scarce. This study aimed to evaluate the relationship between ultra-processed food intake and the risk of developing IBD in the Prospective Urban Rural Epidemiology (PURE) cohort study. Methods This was a prospective cohort study among 21 low, middle, and high income countries across seven geographic regions of 116,087 individuals between the ages of 35–70 with at least one cycle of follow-up and complete baseline food frequency questionnaire (FFQ) data. Country-specific validated FFQs were used to document baseline dietary intake. Participants were followed prospectively at least every 3 years. The main clinical outcome for this study was development of IBD, including Crohn’s disease (CD) or ulcerative colitis (UC). Cox proportional hazard multivariable models were used to assess associations between ultra-processed food intake and risk of IBD. Results are presented as hazard ratios (HR) with 95% confidence intervals (CI). Results Participants were enrolled in the study between 2003 and 2016. During the median follow-up of 9.7 years (IQR 8.9–11.2), we recorded 467 incident cases of IBD (90 with CD and 377 with UC). Higher ultra-processed food intake was associated with a higher risk of incident IBD (HR 1.82, 95% CI 1.22 to 2.72 for ≥5 servings/day and HR 1.67, 95% CI 1.18 to 2.37, for 1–4 servings/day as compared to <1 serving/day, ptrend=0.006), after adjustment for potential confounding factors. Different subgroups of ultra-processed food including soft drinks, sweets, salty snacks, and processed meat each were associated with higher HR for IBD. Results were consistent in UC and CD with low heterogeneity. White meat, red meat, dairy, starch, fruits, vegetables, and legumes intake were not associated with incident IBD. Conclusion Higher ultra-processed food consumption was positively associated with development of IBD. Further studies are needed to identify the potential culprits within ultra-processed foods.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».