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Dietary Patterns and Their Association With Symptoms Activity in Inflammatory Bowel Diseases

溃疡性结肠炎 医学 炎症性肠病 内科学 炎症性肠病 联想(心理学) 疾病 胃肠病学 心理学 心理治疗师
作者
Berkeley N. Limketkai,Mohamed Hamideh,Rishabh Shah,Jenny Sauk,Nancee Jaffe
出处
期刊:Inflammatory Bowel Diseases [Oxford University Press]
卷期号:28 (11): 1627-1636 被引量:34
标识
DOI:10.1093/ibd/izab335
摘要

Existing studies on diet and inflammatory bowel disease (IBD) have largely focused on evaluating the effects of single nutrients or whole predesigned diets but not on evaluating the effects of diverse dietary patterns. This study applied unsupervised methods to identify dietary patterns of individuals with IBD and evaluated their association with symptoms activity.This retrospective study of adults with IBD collected current clinical data and typical diet recalled from the time when in clinical remission. Discrete dietary structures were defined by k-means clustering. Multivariable logistic regression evaluated the relationship between diet clusters and the presence of active symptoms, while adjusting for age, sex, disease duration, disease behavior, and medication use.Of 691 participants, 36% had Crohn's disease (CD) and 64% had ulcerative colitis (UC) or IBD-unclassified. Five major dietary clusters were identified: 2 resembled a Western diet (WD) (WD1, WD2), 1 resembled a balanced diet, and 2 resembled a plant-based diet (PB) (PB1, PB2). Compared with WD1, PB2 was associated with lower odds of active symptoms for CD (odds ratio [OR], 0.32; 95% confidence interval [CI], 0.12-0.83) and UC (OR, 0.31; 95% CI, 0.15-0.62). PB1 was associated with lower odds of active symptoms for participants with UC (OR, 0.45; 95% CI, 0.23-0.90) but not for participants with CD (OR, 0.95; 95% CI, 0.36-2.51).Diets with increased intake of fruits and vegetables, reduction of processed meats and refined carbohydrates, and preference of water for hydration were associated with lower risk of active symptoms with IBD, although increased intake of fruits and vegetables alone did not reduce risk of symptoms with CD.The study used machine learning methods to provide minimally biased classifications of dietary patterns among individuals with inflammatory bowel diseases, followed by an evaluation of the association between the different diet clusters and symptoms activity.
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