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首页> 外文期刊>Public Health Nutrition >Validity of carbohydrate, glycaemic index and glycaemic load data obtained using a semi-quantitative food-frequency questionnaire.
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Validity of carbohydrate, glycaemic index and glycaemic load data obtained using a semi-quantitative food-frequency questionnaire.

机译:使用半定量食物频率问卷获得的碳水化合物,血糖指数和血糖负荷数据的有效性。

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摘要

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 GL 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 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 (<10%).ConclusionThis FFQ was able to rank individuals according to their intakes of total carbohydrate, sugar, starch, fibre and GI, but not as well for GL.
机译:目的:评估食物频率问卷(FFQ)的能力,以根据其摄入的总碳水化合物,糖,淀粉,纤维,血糖指数(GI)和血糖负荷(GL)来对澳大利亚人进行排名。设计:来自人群队列的横截面样本。地点:澳大利亚悉尼以西的两个邮政编码区域。对象:从1992年到1994年,共有2868名澳大利亚老年人使用145个项目的Willett来源的FFQ提供了饮食数据。有代表性的78位受试者的子样本完成了3个为期4天的称量食物记录(WFR)。计算了皮尔森和斯皮尔曼相关性,布兰德-奥特曼图和加权κ值。结果:与WFR相比,FFQ提供了除淀粉和GI以外的所有营养素的较高平均估计值。除GL外,所有Pearson和/或Spearman相关系数均大于0.5。对于GI,糖,淀粉和纤维,来自Bland-Altman分析的回归线显示出不显着的线性趋势(分别为P = 0.07,P = 0.36,P = 0.28和P = 0.10)。但是,对于GL和总碳水化合物,存在显着的线性趋势(分别为P = 0.006和P <0.0001),这表明随着个体的GL和碳水化合物摄入量增加,FFQ和WFR之间的误差幅度也增加了。加权kappa值均表示中等至良好的一致性,但GL除外,后者仅是公平的。正确分类为所有营养素的五分之一受试者的比例超过50%,总分类错误率低(<10%)。结论FFQ能够根据其摄入的碳水化合物,糖,淀粉,淀粉,纤维和GI,但对于GL则不如。

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