Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore.
NUS Graduate School for Integrative Sciences and Engineering, NUS, Singapore.
J Nutr. 2019 Nov 1;149(11):2001-2010. doi: 10.1093/jn/nxz164.
Combinations of circulating fatty acids may affect the risk of type 2 diabetes (T2D) and coronary artery disease (CAD). No previous studies have identified a dietary pattern predicting fatty acid profiles using reduced rank regression (RRR) and evaluated its associations with the risk of T2D and CAD.
The aim of this study was to derive a dietary pattern to explain variation in plasma fatty acid concentrations using RRR and evaluate these in relation to risk of T2D and CAD.
We derived a dietary pattern using fatty acid concentrations from 711 controls of a nested case-control study in the Singapore Chinese Health Study using RRR with 36 food and beverages as predictors and 19 fatty acid biomarkers as responses. Dietary pattern scores were then calculated for the full cohort of men and women (mean age: 56 y). We followed up 45,411 and 58,065 participants for incident T2D and CAD mortality, respectively. Multivariable Cox regression models were used to estimate HRs and 95% CIs.
We identified a dietary pattern high in soy, vegetables, fruits, tea, tomato products, bread, fish, margarine and dairy, and low in rice, red meat, coffee, alcohol, sugar-sweetened beverages, and eggs. This pattern predicted higher circulating n-3 (ω-3) PUFAs (18:3n-3, 20:3n-3, 20:5n-3), odd-chain fatty acids (15:0, 17:0), 18:2n-6 and 20:1, and lower 20:4n-6 and 16:1. During a mean follow-up of 11 y and 19 y, 5207 T2D and 3016 CAD mortality events, respectively, were identified. Higher dietary pattern scores were associated with a lower risk of T2D [multivariable-adjusted HR comparing extreme quintiles, 0.86 (95% CI: 0.79, 0.95); P-trend <0.001] and CAD mortality [HR, 0.76 (95% CI: 0.68, 0.86); P-trend <0.001].
Dietary patterns reflecting higher circulating n-3 PUFAs, odd-chain fatty acids, and linoleic acid may be associated with lower T2D and CAD risk in Chinese adults. This trial was registered at www.clinicaltrials.gov as NCT03356340.
循环脂肪酸的组合可能会影响 2 型糖尿病(T2D)和冠心病(CAD)的风险。以前没有研究使用降秩回归(RRR)确定预测脂肪酸谱的饮食模式,并评估其与 T2D 和 CAD 风险的关系。
本研究旨在使用 RRR 从嵌套病例对照研究的 711 名对照中得出一种饮食模式,以解释血浆脂肪酸浓度的变化,并评估其与 T2D 和 CAD 风险的关系。
我们使用 RRR 从新加坡华人健康研究中的嵌套病例对照研究的 711 名对照中得出一种饮食模式,该模式使用 36 种食物和饮料作为预测因子,19 种脂肪酸生物标志物作为响应。然后为男性和女性的全部队列计算饮食模式得分(平均年龄:56 岁)。我们分别对 45411 名和 58065 名参与者进行了 T2D 和 CAD 死亡率的随访。使用多变量 Cox 回归模型来估计 HRs 和 95%CI。
我们确定了一种饮食模式,其特点是富含大豆、蔬菜、水果、茶、番茄制品、面包、鱼、人造黄油和乳制品,同时低稻米、红肉、咖啡、酒精、含糖饮料和鸡蛋。这种模式预测了更高的循环 n-3(ω-3)PUFAs(18:3n-3、20:3n-3、20:5n-3)、奇数链脂肪酸(15:0、17:0)、18:2n-6 和 20:1,以及更低的 20:4n-6 和 16:1。在平均 11 年和 19 年的随访期间,分别确定了 5207 例 T2D 和 3016 例 CAD 死亡率事件。更高的饮食模式评分与较低的 T2D 风险相关[极端五分位数比较的多变量调整 HR,0.86(95%CI:0.79,0.95);P 趋势<0.001]和 CAD 死亡率[HR,0.76(95%CI:0.68,0.86);P 趋势<0.001]。
反映更高循环 n-3 PUFAs、奇数链脂肪酸和亚油酸的饮食模式可能与中国成年人较低的 T2D 和 CAD 风险相关。本试验在 www.clinicaltrials.gov 上注册为 NCT03356340。