芬兰、荷兰、意大利、菲律宾和加纳男孩每日饮食摄入量的个体差异。

Human nutrition. Applied nutrition Pub Date : 1987-08-01
J O De Boer, J T Knuiman, C E West, J Burema, L Räsänen, C Scaccini, G M Villavieja, P Lokko
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引用次数: 0

摘要

我们研究了来自5个国家的8- 9岁男孩在日常饮食中摄入能量、蛋白质、脂肪、碳水化合物、胆固醇、饱和和多不饱和脂肪酸的个体差异,采用记录和回忆法进行饮食评估。平均个人变异系数为能量、蛋白质和碳水化合物平均摄入量的19%至31%;胆固醇平均摄入量的43%至77%,饱和脂肪酸平均摄入量的28%至50%,多不饱和脂肪酸平均摄入量的37%至105%。其中一些差异可能是由于评估饮食摄入量的方法不同。估计食物摄入量的星期几也会影响精确估计个人能量或特定营养素摄入量所需的测量次数。从这项研究的结果可以看出,假设一个群体中的每个人都有相同的个人内部方差并不总是合理的。这可能导致低估估计个人摄入量所需的测量次数。这项研究的结果在制定数据收集方法、样本量和研究时间的决定时,对饮食调查的计划,以及对饮食调查结果的分析和解释都很有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Within-person variation in daily dietary intake of boys from Finland, the Netherlands, Italy, the Philippines and Ghana.

We have studied the within-person variation in daily dietary intake of energy, protein, fat, carbohydrate, cholesterol, saturated and polyunsaturated fatty acids in 8- and 9-year-old boys from five countries, using record and recall methods of dietary assessment. The average within-person coefficients of variation ranged from 19 to 31 per cent of the mean intake of energy, protein and carbohydrate; from 43 to 77 per cent of the mean intake of cholesterol, from 28 to 50 per cent of the mean intake of saturated fatty acids, and from 37 to 105 per cent of the mean intake of polyunsaturated fatty acids. Some of this variation may have been due to differences in the methods used to assess dietary intake. The day of the week on which food intake is estimated can also influence the number of measurements required to estimate precisely an individual's intake of energy or specific nutrients. From the results of this study it can be shown that it is not always justified to assume that every person in a population has the same within-person variance. This may lead to an underestimation of the number of measurements needed to estimate individual intakes. The results of this study are useful in the planning of dietary surveys when decisions are to be made about methods of data collection, sample size and length of the study, and also in the analysis and interpretation of the results of dietary surveys.

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