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The National Cancer Institute Diet History Questionnaire: Validation of Pyramid Food Servings

机译:美国国家癌症研究所饮食史调查表:金字塔食品的验证

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The performance of the National Cancer Institute's food frequency questionnaire, the Diet History Questionnaire (DHQ), in estimating servings of 30 US Department of Agriculture Food Guide Pyramid food groups was evaluated in the Eating at America's Table Study (1997–1998), a nationally representative sample of men and women aged 20–79 years. Participants who completed four nonconsecutive, telephone-administered 24-hour dietary recalls (n = 1,301) were mailed a DHQ; 965 respondents completed both the 24-hour dietary recalls and the DHQ. The US Department of Agriculture's Pyramid Servings Database was used to estimate intakes of pyramid servings for both diet assessment tools. The correlation (ρ) between DHQ-reported intake and true intake and the attenuation factor (λ) were estimated using a measurement error model with repeat 24-hour dietary recalls as the reference instrument. Correlations for energy-adjusted pyramid servings of foods ranged from 0.43 (other starchy vegetables) to 0.84 (milk) among women and from 0.42 (eggs) to 0.80 (total dairy food) among men. The mean ρ and λ after energy adjustment were 0.62 and 0.60 for women and 0.63 and 0.66 for men, respectively. This food frequency questionnaire validation study of foods measured in pyramid servings allowed for a measure of food intake consistent with national dietary guidance.
机译:美国全国饮食研究(1997-1998)对美国国家饮食研究所(National Cancer Institute)的食物频率问卷《饮食史问卷》(DHQ)在估计30种美国农业部食物指南金字塔食物组的食用量方面的表现进行了评估。年龄在20-79岁之间的男女代表性样本。将完成了四个非连续的,电话管理的24小时饮食召回(n = 1,301)的参与者邮寄了DHQ; 965位受访者完成了24小时饮食召回和DHQ。美国农业部的金字塔食品数据库被用于估计两种饮食评估工具的金字塔食品的摄入量。 DHQ报告的摄入量与真实摄入量之间的相关性(ρ)和衰减因子(λ)使用重复24小时饮食召回的测量误差模型作为参考工具进行估算。妇女进行能量调整的金字塔形食物的相关性范围从0.43(其他含淀粉蔬菜)到0.84(牛奶),而男性之间从0.42(鸡蛋)到0.80(乳制品总量)。能量调整后,女性的平均ρ和λ分别为0.62和0.60,男性为0.63和0.66。这项对食物进行金字塔式测量的食物频率调查问卷验证研究可以测量与国家饮食指南相一致的食物摄入量。

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  • 来源
    《American Journal of Epidemiology 》 |2006年第3期| 279-288| 共10页
  • 作者单位

    Department of Social and Preventive Medicine School of Public Health and Health Professions State University of New York at Buffalo Buffalo NY;

    Biometry Research Group Division of Cancer Prevention National Cancer Institute Bethesda MD;

    Risk Factor Monitoring and Methods Branch Applied Research Program Division of Cancer Control and Population Sciences National Cancer Institute Bethesda MD;

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