Derr J, Kris-Etherton P M, Pearson T A, Seligson F H
Department of Statistics, Pennsylvania State University, University Park 16802.
Metabolism. 1993 Jan;42(1):130-4. doi: 10.1016/0026-0495(93)90183-o.
Regression analyses were performed on individual data from our two previous clinical investigations to establish the cholesterolemic effects of individual fatty acids. Our principal objective was to determine the effects of stearic acid on plasma total cholesterol (TC) and low-density lipoprotein (LDL) cholesterol levels. Our second objective was to determine the variation in the cholesterolemic response of individuals to changes (delta) in the major dietary fatty acids. The best-fitting linear regression equations relating delta TC and delta LDL (mg/dL) were as follows: delta TC = 2.3 delta C14:0 + 3.0 delta C16:0 - 0.8 delta C18:0 - 1.0 delta polyunsaturated fatty acids (PUFA) and delta LDL = 2.6 delta C14:0 + 2.9 delta C16:0 - 0.5 delta C18:0 - 0.7 delta PUFA, where delta fatty acid = change in intake expressed as percent of calories. Based on these equations, in which stearic acid has a significant, negative regression coefficient, and the other regression models analyzed, it appears that stearic acid has an independent cholesterol-lowering effect. Using the equation we developed, 75% of the actual cholesterolemic responses were within +/- 10 mg/dL of the predicted response. In summary, we have developed a predictive equation (similar to those developed by both Keys and Hegsted) to estimate changes in plasma TC and LDL cholesterol levels of young men in response to changes in dietary fatty acids. However, our predictive equation separates stearic acid from the other long-chain saturated fatty acids (SFA) and indicates that it has an independent cholesterol-lowering effect. Thus, stearic acid is a unique long-chain SFA because of its effect on plasma cholesterol level.
对我们之前两项临床研究的个体数据进行回归分析,以确定单个脂肪酸的胆固醇血症效应。我们的主要目标是确定硬脂酸对血浆总胆固醇(TC)和低密度脂蛋白(LDL)胆固醇水平的影响。我们的第二个目标是确定个体对主要膳食脂肪酸变化(增量)的胆固醇血症反应的变化情况。将TC增量和LDL增量(mg/dL)关联起来的最佳拟合线性回归方程如下:TC增量 = 2.3×C14:0增量 + 3.0×C16:0增量 - 0.8×C18:0增量 - 1.0×多不饱和脂肪酸(PUFA)增量,LDL增量 = 2.6×C14:0增量 + 2.9×C16:0增量 - 0.5×C18:0增量 - 0.7×PUFA增量,其中脂肪酸增量 = 以卡路里百分比表示的摄入量变化。基于这些方程(其中硬脂酸具有显著的负回归系数)以及所分析的其他回归模型,似乎硬脂酸具有独立的降胆固醇作用。使用我们推导的方程,75%的实际胆固醇血症反应在预测反应的±10 mg/dL范围内。总之,我们推导了一个预测方程(类似于Keys和Hegsted所推导的方程),以估计年轻男性血浆TC和LDL胆固醇水平随膳食脂肪酸变化的情况。然而,我们的预测方程将硬脂酸与其他长链饱和脂肪酸(SFA)区分开来,并表明它具有独立的降胆固醇作用。因此,硬脂酸因其对血浆胆固醇水平的影响而成为一种独特的长链SFA。