Nettleton Jennifer A, Polak Joseph F, Tracy Russell, Burke Gregory L, Jacobs David R
University of Texas Health Sciences Center School of Public Health, Houston, 77030, USA.
Am J Clin Nutr. 2009 Sep;90(3):647-54. doi: 10.3945/ajcn.2009.27597. Epub 2009 Jul 22.
Empirically derived dietary patterns show strong cross-sectional associations with cardiovascular disease (CVD) risk factors in the Multi-Ethnic Study of Atherosclerosis (MESA).
We investigated associations between dietary patterns and risk of incident CVD in 5316 men and women.
White, black, Hispanic, and Chinese adults aged 45-84 y and free of CVD and diabetes completed food-frequency questionnaires at baseline. Dietary patterns were derived by using principal components analysis. Incident CVD events (n = 207) identified over a median of 4.6 y were verified by death certificates and medical records.
The Fats and Processed Meat dietary pattern was associated with a greater risk (hazard ratio quintile 5 compared with quintile 1: 1.82; 95% CI: 0.99, 3.35), and the Whole Grains and Fruit dietary pattern was associated with a lower risk (0.54; 0.33, 0.91) of CVD after adjustment for demographic and lifestyle confounders. Associations between CVD and the Whole Grains and Fruit dietary pattern remained strong after adjustment for waist circumference, blood pressure, lipids, or inflammatory markers.
Data from this multiethnic cohort reinforce findings from predominantly white cohorts, ie, that "healthy" and "unhealthy" dietary patterns empirically exist and that these patterns are important lifestyle predictors of CVD incidence.
在动脉粥样硬化多民族研究(MESA)中,基于经验得出的饮食模式与心血管疾病(CVD)风险因素之间存在很强的横断面关联。
我们调查了5316名男性和女性的饮食模式与CVD发病风险之间的关联。
年龄在45 - 84岁、无CVD和糖尿病的白人、黑人、西班牙裔和华裔成年人在基线时完成了食物频率问卷调查。通过主成分分析得出饮食模式。在中位时间4.6年期间确定的207例CVD发病事件通过死亡证明和医疗记录进行核实。
在对人口统计学和生活方式混杂因素进行调整后,脂肪和加工肉类饮食模式与更高的风险相关(与第1五分位数相比,第5五分位数的风险比:1.82;95%置信区间:0.99,3.35),而全谷物和水果饮食模式与较低的CVD风险相关(0.54;0.33,0.91)。在对腰围、血压、血脂或炎症标志物进行调整后,CVD与全谷物和水果饮食模式之间的关联仍然很强。
这个多民族队列的数据强化了主要来自白人队列的研究结果,即基于经验确实存在“健康”和“不健康”的饮食模式,并且这些模式是CVD发病率的重要生活方式预测因素。