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根据标准化食物记录预测人体膳食δN摄入量:单餐和24小时饮食数据的有效性和准确性

Prediction of human dietary δN intake from standardised food records: validity and precision of single meal and 24-h diet data.

作者信息

Hülsemann Frank, Koehler Karsten, Wittsiepe Jürgen, Wilhelm Michael, Hilbig Annett, Kersting Mathilde, Braun Hans, Flenker Ulrich, Schänzer Wilhelm

机构信息

a Institute of Biochemistry , German Sport University Cologne , Cologne , Germany.

b Department of Nutrition and Health Sciences , University of Nebraska-Lincoln , Lincoln , NE , USA.

出版信息

Isotopes Environ Health Stud. 2017 Aug;53(4):356-367. doi: 10.1080/10256016.2017.1302447. Epub 2017 Mar 15.

DOI:10.1080/10256016.2017.1302447
PMID:28292192
Abstract

Natural stable isotope ratios (δN) of humans can be used for nutritional analyses and dietary reconstruction of modern and historic individuals and populations. Information about an individual's metabolic state can be obtained by comparison of tissue and dietary δN. Different methods have been used to estimate dietary δN in the past; however, the validity of such predictions has not been compared to experimental values. For a total of 56 meals and 21 samples of 24-h diets, predicted and experimental δN values were compared. The δN values were predicted from self-recorded food intake and compared with experimental δN values. Predicted and experimental δN values were in good agreement for meals and preparations (r = 0.89, p < .001) as well as for the 24-h diets (r = 0.76, p < .001). Dietary δN was mainly determined by the amount of fish, whereas the contribution of meat to dietary δN values was less pronounced. Prediction of human dietary δN values using standardised food records and representative δN data sets yields reliable data for dietary δN intake. A differentiated analysis of the primary protein sources is necessary when relating the proportion of animal-derived protein in the diet by δN analysis.

摘要

人类的天然稳定同位素比率(δN)可用于现代及历史时期个体和人群的营养分析与饮食重建。通过比较组织和饮食中的δN,可获取个体代谢状态的信息。过去曾采用不同方法估算饮食中的δN;然而,此类预测的有效性尚未与实验值进行比较。对总共56份餐食和21份24小时饮食样本的预测δN值与实验δN值进行了比较。δN值根据自我记录的食物摄入量进行预测,并与实验δN值进行比较。餐食和食物制备的预测δN值与实验δN值高度一致(r = 0.89,p < 0.001),24小时饮食的情况也是如此(r = 0.76,p < 0.001)。饮食中的δN主要由鱼类摄入量决定,而肉类对饮食δN值的贡献则不太显著。使用标准化食物记录和代表性δN数据集预测人类饮食δN值,可为饮食δN摄入量提供可靠数据。通过δN分析确定饮食中动物源性蛋白质比例时,有必要对主要蛋白质来源进行差异化分析。

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