Comparison of dietary assessment methods in a Southern French population: Use of weighed records, estimated-diet records and a food-frequency questionnaire
Comparison of dietary assessment methods in a Southern French population: Use of weighed records, estimated-diet records and a food-frequency questionnaire
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DOI：
10.1038/sj.ejcn.1600387
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发表时间：
1997-04-01
影响因子：
4.7
通讯作者：
Daures, JP
中科院分区：
文献类型：
--
作者：
Bonifacj, C;Gerber, M;Daures, JP
目的：本研究的主要目的是开发适用于法国地中海地区的膳食评估工具，并验证其提供的测量方法。对象和方法：对150名男性和女性志愿者进行了三种不同的评估方法。98人完成了方案，其中包括基于核对清单和一组照片的4d加权饮食记录(Petra)和7d估计饮食记录(S7)，这两个记录在一年中的每个季节填写一次，以及半定量(标准部分)食物频率问卷(FFQ)，其中包括引出社会人口学和人体测量学数据的问题，只填写一次。PETRA用于评估食物摄入量的天数与S7的前4天(S4)重合。结果：验证是基于营养和食物。S4和Petra之间的能量调整皮尔逊相关系数从维生素E的0.32到维生素C的0.81(平均：21种营养素的0.65)。在相反的极端四分位数中，几乎没有错误的分类。斯皮尔曼相关系数从鱼和海产品的0.63到葡萄酒的0.90(平均：16种食物类别的0.76)。在相反的极端四分位数中，几乎没有错误的分类。FFQ和S7之间的去衰减能量调整的皮尔逊相关系数从蛋白质和单不饱和脂肪酸的0.22到铁的0.80(平均值：0.45)。10%或更少的受试者被错误地归入相反的极端四分位数(除了维生素C，12%)。Spearman相关系数从绿色-黄色-红色生菜的0.25到葡萄酒的0.76(平均：0.42)。8%或更少的受试者被错误地归入相反的极端四分位数(柑橘类水果除外，11%)。结论：S4和Petra在营养和食物方面的相关性验证了使用这组照片进行部分估计的有效性。与文献中的数据相比，FFQ提供了一个相当可靠的大量营养素摄入量的衡量标准和一个很好的微量营养素摄入量的衡量标准。它在食物摄入量方面的表现就不那么好了。FFQ可以获得更好的结果：(1)使用一组照片而不是标准部分，以及(2)通过添加关于未充分覆盖的食品的更多问题。
Objective: The main objective of the study was to develop appropriate dietary assessment instruments for the French Mediterranean region and to validate the measurements they provide.Subjects and Methods: Three different assessment methods were submitted to a sample of 150 male and female volunteers. 98 completed the protocol, which consisted of a 4 d weighed dietary record (PETRA) and a 7 d estimated-diet record (S7) based on a check list and a set of photographs, both these records being completed once in each season of the year, and a semi-quantitative (standard portion) food-frequency questionnaire (FFQ) including questions eliciting socio-demographic and anthropometric data, which was completed once only. The days when PETRA was used to evaluate food consumption coincided with the first 4 d of S7 (S4).Results: Validation was based on nutrients and foods. Energy-adjusted Pearson correlation coefficients between S4 and PETRA ranged from 0.32 for vitamin E to 0.81 for vitamin C (mean: 0.65 for 21 nutrients). There was practically no misclassification in opposite extreme quartiles. Spearman correlation coefficients ranged from 0.63 for fish and sea-food to 0.90 for wine (mean: 0.76 for 16 food groups). There was practically no misclassification in opposite extreme quartiles. De-attenuated energy-adjusted Pearson correlation coefficients between FFQ and S7 ranged from 0.22 for proteins and monounsaturated fatty acids to 0.80 for iron (mean: 0.45). 10% or less of subjects were misclassified in opposite extreme quartiles (except for vitamin C, 12%). Spearman correlation coefficients ranged from 0.25 for green-yellow-red raw vegetables to 0.76 for wine (mean: 0.42). 8% or less of subjects were misclassified in opposite extreme quartiles (except for citrus fruit, 11%).Conclusions: Portion estimation using the set of photographs was validated by the correlation between S4 and PETRA for both nutrients and foods. The FFQ provides a reasonably reliable measure of macronutrient intake and a good measure of micronutrient intake when compared with the data in the literature. It performs less well for food intake. Better results can be achieved for FFQ: (i) by using the set of photographs instead of standard portions and (ii) by adding further questions on foods which are insufficiently covered.