Dietary patterns and cardiometabolic and endocrine plasma biomarkers in US women
Dietary patterns and cardiometabolic and endocrine plasma biomarkers in US women
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DOI：
10.3945/ajcn.116.143016
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发表时间：
2017-02-01
影响因子：
7.1
通讯作者：
Tobias, Deirdre K.
中科院分区：
文献类型：
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作者：
AlEssa, Hala B.;Malik, Vasanti S.;Tobias, Deirdre K.
背景：健康饮食模式与较低的 2 型糖尿病和冠状动脉疾病风险相关，但它们与心脏代谢和内分泌健康中间标志物的关系尚不明确。目的：我们利用美国女性的心脏代谢和内分泌血浆生物标志物评估了控制高血压的饮食方法 (DASH)、替代地中海饮食 (aMED) 和替代健康饮食指数 (aHEI) 饮食质量评分。设计：该试验是一项横断面试验在 NHS（护士健康研究）和 NHS II 纵向队列中进行的女性生活方式验证研究中，对 775 名健康女性进行了分析。使用针对潜在混杂因素进行调整的多元线性回归模型来估计源自食物频率调查问卷的饮食模式依从性评分的四分位数与同时收集的血浆生物标志物浓度之间的关联。 结果：在比较饮食模式评分的最高和最低四分位数的多变量模型中，1) DASH 与较高浓度的高密度脂蛋白 (9%) 和性激素结合球蛋白 (SHBG) (21%) 显着相关，而较低浓度则显着相关。瘦素 (28%)、甘油三酯 (19%) 和 C 肽 (4%) 的浓度（所有 P 趋势
Background: Healthful dietary patterns have been associated with lower risks of type 2 diabetes and coronary artery disease, but their relations with intermediate markers of cardiometabolic and endocrine health are less established.Objective: We evaluated the Dietary Approaches to Stop Hypertension (DASH), the alternate Mediterranean diet (aMED), and the Alternate Healthy Eating Index (aHEI) diet-quality scores with cardiometabolic and endocrine plasma biomarkers in US women.Design: The trial was a cross-sectional analysis of 775 healthy women in the Women's Lifestyle Validation Study that was conducted within the NHS (Nurses' Health Study) and NHS II longitudinal cohorts. Multiple linear regression models adjusted for potential confounders were used to estimate associations between quartiles of dietary pattern-adherence scores that were derived from a food-frequency questionnaire and plasma biomarker concentrations that were collected simultaneously.Results: In multivariable models in which highest and lowest quartiles of dietary pattern scores were compared, 1) DASH was significantly associated with higher concentrations of high-density lipoprotein (9%) and sex-hormone binding globulin (SHBG) (21%), and lower concentrations of leptin (28%), triglycerides (19%), and C-peptide (4%) (all P-trend