Haile R W, Hunt I F, Buckley J, Browdy B L, Murphy N J, Alpers D
J Am Diet Assoc. 1986 May;86(5):611-6.
Three methods were developed to identify a limited number of foods that are important dietary contributors of fat, dietary fiber, and vitamins A, C, and E. In the first method, foods were ranked by the amount of each nutrient supplied per person per day and the effect each food had on the relative ranking of individuals with respect to the intake of those nutrients. Foods scoring high on both scales for a given nutrient were selected as important dietary contributors of that nutrient. In the second method, foods were selected according to the mean nutrient contribution per consumer (nonconsumers of a food were eliminated from this estimation procedure). In the third method, foods were selected that contributed a relatively large percentage of the total dietary intake of a given nutrient. The three methods were applied to data from an extensive dietary questionnaire. The authors then compared the limited lists of foods identified by each method. Generally, the methods yielded similar food lists. Regression analysis was then employed to test the ability of the selected foods to predict the nutrient totals calculated from the original, more extensive dietary questionnaire. The results suggest that a limited number of foods may have strong predictive ability, but that has not been tested in any other population.
开发了三种方法来确定数量有限的食物，这些食物是脂肪、膳食纤维以及维生素A、C和E的重要膳食来源。在第一种方法中，根据每人每天提供的每种营养素的量以及每种食物对个人在这些营养素摄入量方面相对排名的影响对食物进行排名。在给定营养素的两个量表上得分都高的食物被选为该营养素的重要膳食来源。在第二种方法中，根据每个消费者的平均营养素贡献来选择食物（在这个估计过程中排除了某种食物的非消费者）。在第三种方法中，选择的食物在给定营养素的总膳食摄入量中占比较大。这三种方法被应用于一份广泛的饮食调查问卷的数据。作者随后比较了每种方法确定的有限食物清单。一般来说，这些方法得出的食物清单相似。然后采用回归分析来测试所选食物预测根据原始的、更广泛的饮食调查问卷计算出的营养素总量的能力。结果表明，数量有限的食物可能具有很强的预测能力，但这尚未在任何其他人群中得到检验。
