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

Limketkai, Berkeley N; Hamideh, Mohamed; Shah, Rishabh; Sauk, Jenny S; Jaffe, Nancee

Limketkai, Berkeley N; Hamideh, Mohamed; Shah, Rishabh; Sauk, Jenny S; Jaffe, Nancee.

Afiliação

Limketkai BN; Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Hamideh M; Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Shah R; Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Sauk JS; Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Jaffe N; Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Inflamm Bowel Dis ; 28(11): 1627-1636, 2022 11 02.

Article em En | MEDLINE | ID: mdl-35092268

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.

Assuntos

Colite Ulcerativa; Doença de Crohn; Doenças Inflamatórias Intestinais; Adulto; Humanos; Estudos Retrospectivos; Dieta

Palavras-chave

Crohn's disease; diet; inflammatory bowel disease; machine learning; nutrition; plant-based diet; ulcerative colitis

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Inflamatórias Intestinais / Colite Ulcerativa / Doença de Crohn Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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