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DOI 10.1038/s41598-019-52951-7

Медицинская библиотека · Scientific reports · 2019

Association of dietary patterns and endoscopic gastric mucosal atrophy in an adult Chinese population.

Lin Song, Gao Tao, Sun Chongxiu, Jia Mengru, Liu Chengxia, Ma Xingbin, Ma Aiguo

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

Atrophy gastritis harbor a high risk for the development of dysplasia and gastric cancer. The study investigated the relationships of specific dietary patterns and endoscopic gastric mucosal atrophy. In this cross-sectional study, we enrolled 574 consecutive outpatients who were diagnosed as chronic gastritis according to endoscopic examination. Dietary intakes of study individuals was assessed using the semi-quantitative food group frequency questionnaire. Logistic regression analyses were used to evaluate the relationship between dietary patterns and endoscopic gastric mucosal atrophy adjusted for potential confounders. A total of 574 participants were included, 286 with endoscopic gastric mucosal atrophy. Three dietary patterns were identified by factor analysis. "Alcohol and fish" (tertile 1 vs. tertile 3: adjusted odds ratio = 1.85, 95% confidence interval: 1.06-3.22) and "coarse cereals" (tertile 1 vs. tertile 3: adjusted odds ratio = 2.05, 95% confidence interval: 1.24-3.39) were associated with an increased risk for endoscopic gastric mucosal atrophy but a "traditional" pattern was not. Dietary pattern was not associated with gastric mucosal atrophy in women or in participants with H. pylori infection. A high adherence to both "Alcohol and Fish" and "Coarse cereals" dietary patterns seem to be associated with higher odds of endoscopic gastric mucosal atrophy in men and in patients without H. pylori infection. Further prospective cohort studies needed to confirm these findings.

Для цитирования: Lin Song, Gao Tao, Sun Chongxiu, Jia Mengru, Liu Chengxia, Ma Xingbin, Ma Aiguo. Association of dietary patterns and endoscopic gastric mucosal atrophy in an adult Chinese population.. Scientific reports. 2019. DOI: 10.1038/s41598-019-52951-7.

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