Validity of carbohydrate, glycaemic index and glycaemic load data obtained using a semi-quantitative food-frequency questionnaire
Validity of carbohydrate, glycaemic index and glycaemic load data obtained using a semi-quantitative food-frequency questionnaire
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DOI：
10.1017/s1368980007001103
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发表时间：
2008-06-01
影响因子：
3.2
通讯作者：
Mitchell, Paul
中科院分区：
文献类型：
--
作者：
Barclay, Alan Winston;Flood, Victoria Mary;Mitchell, Paul
目的：为了评估食物频率问卷（FFQ）根据总碳水化合物、糖、淀粉、纤维、血糖指数（GI）和血糖负荷（GL）的摄入量对澳大利亚人进行排名的能力。设计：来自人群队列的横断面样本。设置：澳大利亚悉尼西部的两个邮政编码区。受试者：从1992年至1994年，共有2868名老年澳大利亚人提供的饮食数据，使用145项Wilcox-derived FFQ。78例受试者的代表性子样本完成了3次4天称重食物记录（WFR）。Pearson和斯皮尔曼相关，Bland-Altman图和加权kappa value.Results：与WFR相比，FFQ提供了更高的平均估计的所有营养素，除了淀粉和GI。除GL外，所有Pearson和/或斯皮尔曼相关性均大于0.5。对于GI、糖、淀粉和纤维，Bland-Altman分析的回归线显示非显著线性趋势（分别为P= 0.07、P=0.36、P=0.28和P=0.10）。然而，对于GL和总碳水化合物，存在显著性差异。线性趋势（分别为P= 0.006和P< 0.0001），表明随着个体GI和碳水化合物摄入量的增加，FFQ和WFR之间的误差幅度也增加。加权Kappa值均显示中度至良好一致性，但GL除外，我认为其仅为一般。所有营养素正确分类在五分位数以内的受试者比例超过50%，总体错误分类率较低（
Objective: To assess the ability of a food-frequency questionnaire (FFQ) to rank Australians according to their intake of total carbohydrate, sugar, starch, fibre, glycaemic index (GI) and glycaemic load (GL).Design: Cross-sectional sample from a population cohort.Setting: Two postcode areas west of Sydney, Australia.Subjects: From 1992 to 1994, a total of 2868 older Australians provided dietary data using a 145-item Willett-derived FFQ. A representative sub-sample of 78 subjects completed three 4-day weighed food records (WFRs). Pearson and Spearman correlations, Bland-Altman plots and weighted kappa values were calculated.Results: Compared with the WFR, the FFQ provided higher mean estimates of all nutrients except starch and GI. All Pearson and/or Spearman correlations were greater than 0.5, except for GL For GI, sugar, starch and fibre, the regression lines from the Bland-Altman analysis indicated a non-significant linear trend (P= 0.07, P=0.36, P=0.28 and P=0.10, respectively). For GL and total Carbohydrate, however, there was a significant. linear trend (P= 0.006 and P< 0.0001, respectively), indicating that as the GI, and carbohydrate intake of individuals increased, so did the magnitude of the error between the FFQ and WFR. Weighted kappa values all indicated moderate to good agreement, with the exception of GL which I was only fair. The proportions of subjects correctly classified within one quintile for all of the nutrients were over 50% and gross misclassification was low (