Mazidi M, Pennathur S, Afshinnia F
Key State Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
Institute of Genetics and Developmental Biology, International College, University of Chinese Academy of Science, Beijing, China.
Nutr Diabetes. 2017 Mar 20;7(3):e255. doi: 10.1038/nutd.2017.11.
Population-based interventions aimed at halting the increasing prevalence of metabolic syndrome (MetS) require thorough understanding of dietary interplays. Objective is to identify the independent dietary nutrients associated with MetS and its components using dietary pattern identification and the single-nutrient approaches in The United States.
This is a cross-sectional observation. Participants are selected from the National Health and Nutrition Examination Survey (NHANES) with available dietary intake, biochemical and anthropometrical data from 2001 to 2012. Exposure is diet obtained from 24-h dietary recall. Main outcome measure is MetS and its components.
Overall, 23 157 eligible individuals including 6561 with MetS were included in the final analysis. Using principle component analysis, we identified three food patterns that explained 50.8% of the variance of the dietary nutrient consumption. The highest quartile of the factor score representative of saturated/monounsaturated fatty acids or the first dietary pattern was associated with 1.27-fold (95% confidence interval (CI): 1.10-1.46, P=0.001) higher odds of association with MetS when compared with the first quartile. The second pattern representative of vitamins and trace elements had an odds ratio of 0.79 (95% CI: 0.70-0.89, P<0.001) for association with MetS, and the third pattern representative of polyunsaturated fatty acids did not have any association with MetS. The nutrient-by-nutrient approach showed that mild alcohol intake and lower consumption of total saturated fatty acids and sodium were associated with lower risk of MetS.
Application of multiple complementary analytic approaches reveals more comprehensive dietary determinants of MetS and its components as potential intervening targets.
旨在遏制代谢综合征(MetS)患病率上升的基于人群的干预措施需要深入了解饮食之间的相互作用。目的是在美国使用饮食模式识别和单营养素方法来确定与代谢综合征及其组成成分相关的独立饮食营养素。
这是一项横断面观察研究。参与者选自2001年至2012年具有可用饮食摄入量、生化和人体测量数据的国家健康与营养检查调查(NHANES)。暴露因素是通过24小时饮食回顾获得的饮食。主要结局指标是代谢综合征及其组成成分。
最终分析纳入了23157名符合条件的个体,其中6561名患有代谢综合征。使用主成分分析,我们确定了三种饮食模式,它们解释了饮食营养素消耗差异的50.8%。代表饱和/单不饱和脂肪酸的因子得分最高四分位数或第一种饮食模式与代谢综合征的关联几率比第一四分位数高1.27倍(95%置信区间(CI):1.10 - 1.46,P = 0.001)。代表维生素和微量元素的第二种模式与代谢综合征的关联比值比为0.79(95% CI:0.70 - 0.89,P < 0.001),代表多不饱和脂肪酸的第三种模式与代谢综合征无关联。逐个营养素分析方法表明,轻度饮酒以及总饱和脂肪酸和钠的摄入量较低与代谢综合征风险较低相关。
应用多种互补分析方法揭示了代谢综合征及其组成成分更全面的饮食决定因素,作为潜在的干预靶点。