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首页> 外文期刊>Diabetes care >Food intake patterns associated with incident type 2 diabetes: the Insulin Resistance Atherosclerosis Study.
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Food intake patterns associated with incident type 2 diabetes: the Insulin Resistance Atherosclerosis Study.

机译:与2型糖尿病相关的食物摄入方式:胰岛素抵抗动脉粥样硬化研究。

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OBJECTIVE: Markers of hemostasis and inflammation such as plasminogen activator inhibitor-1 (PAI-1) and fibrinogen have been associated with risk of type 2 diabetes. We aimed to identify food intake patterns influencing this pathway and evaluate their association with incident diabetes. RESEARCH DESIGN AND METHODS: The Insulin Resistance Atherosclerosis Study cohort included 880 middle-aged adults initially free of diabetes. At the 5-year follow-up, 144 individuals had developed diabetes. Usual dietary intake was ascertained with a 114-item food frequency questionnaire. Using reduced rank regression, we identified a food pattern maximizing the explained variation in PAI-1 and fibrinogen. Subsequently, the food pattern-diabetes association was evaluated using logistic regression. RESULTS: High intake of the food groups red meat, low-fiber bread and cereal, dried beans, fried potatoes, tomato vegetables, eggs, cheese, and cottage cheese and low intake of wine characterized the pattern, which was positively associated with both biomarkers. With increasing pattern score, the odds of diabetes increased significantly (Ptrend < 0.01). After multivariate adjustment, the odds ratio comparing extreme quartiles was 4.3 (95% CI 1.7-10.8). Adjustment for insulin sensitivity and secretion and other metabolic factors had little impact (4.9, 1.8-13.7). CONCLUSIONS: Our findings provide support for potential behavioral prevention strategies, as we identified a food intake pattern that was strongly related to PAI-1 and fibrinogen and independently predicted type 2 diabetes.
机译:目的:止血和炎症标志物,如纤溶酶原激活物抑制剂-1(PAI-1)和纤维蛋白原与2型糖尿病的风险有关。我们旨在确定影响该途径的食物摄入方式,并评估其与糖尿病的关联。研究设计和方法:胰岛素抵抗动脉粥样硬化研究队列包括880名最初没有糖尿病的中年成年人。在5年的随访中,有144人患有糖尿病。通过114项食物频率问卷调查确定日常饮食摄入量。使用降低的秩次回归,我们确定了一种食物模式,该模式最大程度地提高了PAI-1和纤维蛋白原的解释变异。随后,使用逻辑回归评估食物模式与糖尿病的关系。结果:高摄入量的食物包括红肉,低纤维面包和谷物,干豆,炸土豆,番茄蔬菜,鸡蛋,奶酪和农家干酪,而低摄入量的葡萄酒则是这种模式,与两种生物标志物均呈正相关。随着模式得分的增加,糖尿病的几率显着增加(Ptrend <0.01)。经过多变量调整后,比较极端四分位数的优势比为4.3(95%CI 1.7-10.8)。胰岛素敏感性和分泌及其他代谢因子的调整影响不大(4.9,1.8-13.7)。结论:我们的发现为潜在的行为预防策略提供了支持,因为我们确定了一种与PAI-1和纤维蛋白原密切相关的食物摄入模式,并独立预测了2型糖尿病。

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