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简化营养素谱系统(SENS)能够充分评估食物与饮食整体营养质量的相关性:验证研究。

The simplified nutrient profiling system (SENS) adequately ranks foods in relation to the overall nutritional quality of diets: a validation study.

机构信息

MS-Nutrition, Marseille, France.

VAB-Nutrition, Clermont-Ferrand, France.

出版信息

Eur J Clin Nutr. 2018 Apr;72(4):593-602. doi: 10.1038/s41430-018-0104-3. Epub 2018 Feb 19.

Abstract

BACKGROUND/OBJECTIVES: We aimed to validate the simplified nutrient profiling system (SENS) algorithm based on its ability to rank foods across the four SENS classes in relation to overall nutritional quality of both observed diets and nutritionally optimized diets.

SUBJECTS/METHODS: Foods and beverages from the French nutritional composition database were classified according to SENS. Diets consumed by French adults in the latest national dietary survey (>19 years, n = 1719) were divided into four nutritional quality levels, and average daily frequencies (number of portions per day) of foods from the four SENS classes were compared between the four levels. Then, for each individual observed diet, one iso-caloric and nutritionally adequate diet was optimized, and variations in daily frequencies of foods from each SENS class between observed and optimized diets were estimated.

RESULTS

In observed diets, as overall nutritional quality level of diet increased, daily frequency increased for Class-1 foods (3.5 to 8.7 portions/d) and decreased for Class-4 foods (6.8 to 3.0 portions/day). From observed to optimized diets, daily frequency increased for Class-1 foods for 98.4% of individuals and decreased for Class-4 foods for 94.2% of individuals. Class-2 and Class-3 foods also followed patterns that fit the expected ranking.

CONCLUSIONS

Results from two WHO-recommended validation approaches showed that the SENS algorithm adequately ranks foods according to their contribution to overall nutritional quality of diets, which is a pre-requisite to use for simplified nutritional labeling in Europe.

摘要

背景/目的:我们旨在验证简化营养素分析系统(SENS)算法,根据其将食物按 SENS 的四个类别进行排序的能力,来评估观察到的饮食和营养优化饮食的整体营养质量。

受试者/方法:根据 SENS 对法国营养成分数据库中的食物和饮料进行分类。对最近一次全国饮食调查中(>19 岁,n=1719)法国成年人所消耗的饮食进行了分类,将饮食分为四个营养质量水平,并比较了 SENS 四个类别的食物在四个水平之间的平均每日频率(每天份)。然后,对于每个观察到的个体饮食,都优化了一个等热量和营养充足的饮食,并估计了观察和优化饮食之间每个 SENS 类别食物的每日频率变化。

结果

在观察到的饮食中,随着饮食整体营养质量水平的提高,Class-1 类食物的每日频率增加(从 3.5 份/天增加到 8.7 份/天),Class-4 类食物的每日频率降低(从 6.8 份/天减少到 3.0 份/天)。从观察到的饮食到优化的饮食,98.4%的个体的 Class-1 类食物的每日频率增加,94.2%的个体的 Class-4 类食物的每日频率降低。Class-2 和 Class-3 类食物也遵循了与预期排名相符的模式。

结论

两种世卫组织推荐的验证方法的结果表明,SENS 算法能够根据食物对饮食整体营养质量的贡献对食物进行适当排序,这是欧洲简化营养标签使用的前提。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6eb1/5882494/e34a99a63bf1/41430_2018_104_Fig1_HTML.jpg

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