SOURCE OF VARIANCE IN 24-HOUR DIETARY RECALL DATA - IMPLICATIONS FOR NUTRITION STUDY DESIGN AND INTERPRETATION - CARBOHYDRATE SOURCES, VITAMINS, AND MINERALS
SOURCE OF VARIANCE IN 24-HOUR DIETARY RECALL DATA - IMPLICATIONS FOR NUTRITION STUDY DESIGN AND INTERPRETATION - CARBOHYDRATE SOURCES, VITAMINS, AND MINERALS
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DOI：
10.1093/ajcn/37.6.986
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发表时间：
1983-01-01
影响因子：
7.1
通讯作者：
LITTLE, JA
中科院分区：
文献类型：
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作者：
BEATON, GH;MILNER, J;LITTLE, JA
Beaton等人（1979）报告了1天膳食数据中能量、蛋白质、总碳水化合物、总脂肪、脂肪酸类别、胆固醇和酒精摄入量的方差划分。使用相同的食物摄入量数据和扩大的国家心脏，肺和血液研究所的食物成分数据库，这些分析的方差来源进行了扩展，包括类碳水化合物，维生素A，维生素C，硫胺素，核黄素，烟酸，钙，铁，总灰分，咖啡因和粗纤维。分析涉及到观察到的摄入量（重复6次）的30名成年男性和30名成年女性获得配对的希腊-拉丁方设计的面试顺序，面试官和一周的一天作为决定因素。无论是序列还是访谈者对方差的贡献都不一致。在女性中，一周中的几天对几种营养素有显著影响。方差的主要划分是个体间变异（受试者之间）和个体内变异（受试者内），包括摄入量的真实日间变异和方法学变异。除咖啡因外，1天数据的个体内变异性大于个体间变异性。对于维生素A，几乎所有的方差都与日常变化有关。一天的数据提供了一个非常不充分的估计通常摄入量的个人。在营养研究的设计中，饮食数据的预期用途是决定方法的主要考虑因素，这一点至关重要。没有理想的饮食方法。可能存在用于特定目的的优选方法。
Beaton et al (1979) reported on the partitioning of variance in 1-day dietary data for the intake of energy, protein, total carbohydrate, total fat, classes of fatty acids, cholesterol and alcohol. Using the same food intake data and the expanded National Heart, Lung and Blood Institute food composition data base, these analyses of sources of variance were expanded to include classes of carbohydrate, vitamin A, vitamin C, thiamin, riboflavin, niacin, Ca, Fe, total ash, caffeine and crude fiber. The analyses relate to observed intakes (replicated 6 times) of 30 adult males and 30 adult females obtained under a paired Graeco-Latin square design with sequence of interview, interviewer and day of the week as determinants. Neither sequence nor interviewer made consistent contribution to variance. In females, day of the week had a significant effect for several nutrients. The major partitioning of variance was between interindividual variation (between subjects) and intraindividual variation (within subjects) which included both true day-to-day variation in intake and methodological variation. For all except caffeine, the intraindividual variability of 1-day data was larger than the interindividual variability. For vitamin A, almost all of the variance was associated with day-to-day variability. One-day data provide a very inadequate estimate of usual intake of individuals. In the design of nutrition studies it is critical that the intended use of dietary data be a major consideration in deciding on methodology. There is no ideal dietary method. There may be preferred methods for particular purposes.