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背景:以食品正面包装的营养标签、广告规范或粮食税为基础的营养素度量体系对于公共健康是一个很有用的工具。然而,它的能耐远超于对产品描述并能够充分地塑造个体膳食有必要更进一步的调查目的:本研究旨在(1)计算个体层面的分值基于英国FSA食物级别的每个食物消耗的营养素度量体系,(2)依据食物组消耗量、营养摄入量以及社会人口和生活方式的改变评估膳食状况评分的正确性。方法:从Nu1riNet-Sante研究(n=4225)中选定法国人群作为代表性样本。采用24小时膳食回顾记录收集膳食数据。社会人口和生活方式的数据采用自我报告形式记录。所有食物消耗量采用FSA营养素度量法描述,并且来自于每个食物消耗的能量摄入量用于计算个体层面的FSA导出的累积分值。遵循法国营养素推荐规范(PNNS-GS)的分数以膳食质量评分作为比较而计算。在食物消耗、营养指标、生活方式和社会人口的变化与累积分的四分位之间的关联性通过ANOVAs和线性回归模型调查。结果:得到有利分值的受试者消耗大量的水果(差异△=156g/d,P<0.001),蔬菜(△=85g/d,P<0.001),以及鱼和少量的零食(△=-72g/d,P<0.001);同时他们也有大量维生素和矿物质的摄入以及少量的饱和脂肪酸的摄入。得到有利分值的受试者很好的遵循了依据PNNS-GS衡量的营养素推荐标准(△=2.13 points,P<0.001)。女性年长的受试者以及高收入的群体更可能得到较高的分值。结论:研究结果表明FSA营养素度量体系对法国人群中个体膳食的概述更加全面可行。NutriNet-Sante研究已被登录于2013-000929-31欧洲临床试验数据库(EudraCT)。
Background: Nutrient metrics based on nutrition labeling, advertising codes or food taxes on the front of a food package are a useful tool for public health. However, its ability to go well beyond the product description and to adequately shape individual diets requires further investigation. The purpose of this study was to (1) calculate individual-level scores based on food consumption per FSA food grade in the UK (2) assessing the correctness of dietary status scores based on food group consumption, nutritional intake, and changes in social demographics and lifestyles. METHODS: The French population was selected as the representative sample from the Nu1riNet-Sante study (n = 4225). Dietary data was collected using a 24-hour meal review record. Socio-demographic and lifestyle data are recorded in a self-report format. All food consumption is described using the FSA Nutrient Metrics and the energy intake from each food consumed is used to calculate the individual-level FSA derived cumulative scores. The scores following the French Nutrient Recommendation (PNNS-GS) are calculated as meal quality scores. Correlations between food consumption, nutritional indicators, lifestyle and social demographic changes, and quartiles of cumulative points were investigated by ANOVAs and linear regression models. RESULTS: Subjects who received favorable scores consumed large amounts of fruit (Δ = 156g / d, P <0.001), vegetables (Δ = 85g / d, P <0.001), and fish and a small amount of snacks (Δ = 72g / d, P <0.001). At the same time, they also had a large amount of intake of vitamins and minerals and a small amount of saturated fatty acids. Subjects who received favorable scores met the recommended nutrient criteria (PN = 2.13 points, P <0.001) as measured by PNNS-GS. Older female subjects and high-income groups are more likely to get higher scores. CONCLUSIONS: The results show that the FSA nutrient metric system is more comprehensive and viable for an overview of individual diets in the French population. The NutriNet-Sante study has been posted on the 2013-000929-31 European Clinical Trial Database (EudraCT).