Pryer J, Brunner E, Marmot M
Department of Epidemiology and Public Health, University College, London.
J Epidemiol Community Health. 1994 Dec;48(6):543-8. doi: 10.1136/jech.48.6.543.
To examine (a) changes in the shape of the distribution of dietary fat intake as the mean dietary fat intake of the population shifts and (b) implications for setting national dietary goals.
Data on the percentage of energy from total fat, saturates, monounsaturates, polyunsaturates, and the P:S ratio were analysed for two dietary intervention trials and six cross sectional dietary surveys. The nutrient distributions from each study were described in terms of the mean, standard deviation (SD), coefficient of variation (CV), and skewness statistic. For the intervention trials statistical parameters were compared for groups who received and did not receive dietary advice. For the cross sectional studies, statistical parameters were compared across groups with different levels of mean fat intake. The implications of the results for setting dietary goals were considered using statistical models.
For most fat fractions there was a positive association between the mean and the SD, and an inverse association between the mean and the CV, indicating that as the mean shifts upwards the SD increases but not in proportion to the mean. This is intermediate between a constant SD and a constant CV model. For a population nutrient goal of a maximum of 15% saturates, the estimated population mean for British women would be 8.4% using the constant SD model and 10.8% using the constant CV model. For saturates and the P:S ratio, a lower mean intake was associated with a greater positive skew in the distribution of reported intakes. For saturates, this is consistent with a group of high fat consumers who fail to reduce their intake as the population mean shifts downwards: a "rearguard effect". Findings for the P:S ratio are consistent with a group of consumers who produced a strong positive skew at low mean intakes, which reduced in size as the mean population intake increases: a "vanguard effect".
These findings provide evidence that the distribution of fat intake may change with the mean to a degree that the setting and monitoring of nutritional goals may need to take account of changes in variance and shape of the intake distribution.
研究(a)随着人群膳食脂肪摄入量均值的变化,膳食脂肪摄入分布形状的改变;(b)对设定国家膳食目标的影响。
对两项膳食干预试验和六项横断面膳食调查中总脂肪、饱和脂肪、单不饱和脂肪、多不饱和脂肪的能量百分比以及P:S比值的数据进行分析。每项研究的营养素分布通过均值、标准差(SD)、变异系数(CV)和偏度统计量来描述。对于干预试验,比较接受和未接受膳食建议的组的统计参数。对于横断面研究,比较不同平均脂肪摄入量水平组的统计参数。使用统计模型考虑结果对设定膳食目标的影响。
对于大多数脂肪组分,均值与标准差呈正相关,均值与变异系数呈负相关,这表明随着均值上升,标准差增加,但与均值不成比例。这介于恒定标准差模型和恒定变异系数模型之间。对于饱和脂肪最大摄入量为15%的人群营养目标,使用恒定标准差模型,英国女性的估计人群均值为8.4%,使用恒定变异系数模型为10.8%。对于饱和脂肪和P:S比值,较低的平均摄入量与报告摄入量分布中更大的正偏度相关。对于饱和脂肪,这与一组高脂肪消费者一致,他们在人群均值下降时未能减少摄入量:一种“后卫效应”。P:S比值的结果与一组消费者一致,他们在低平均摄入量时产生强烈的正偏度,随着人群平均摄入量增加,这种偏度的程度减小:一种“先锋效应”。
这些发现提供了证据,表明脂肪摄入量分布可能随均值变化,以至于营养目标的设定和监测可能需要考虑摄入量分布的方差和形状变化。