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Choosing front-of-package food labelling nutritional criteria: how smart were ‘Smart Choices’?

机译:选择包装前食品标签的营养标准:“明智的选择”有多聪明?

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ObjectiveThe a€?Smart Choicesa€? programme was an industry-driven, front-of-package (FOP) nutritional labelling system introduced in the USA in August 2009, ostensibly to help consumers select healthier options during food shopping. Its nutritional criteria were developed by members of the food industry in collaboration with nutrition and public health experts and government officials. The aim of the present study was to test the extent to which products labelled as a€?Smart Choicesa€? could be classified as healthy choices on the basis of the Nutrient Profile Model (NPM), a non-industry-developed, validated nutritional standard.DesignA total of 100 packaged products that qualified for a a€?Smart Choicesa€? designation were sampled from eight food and beverage categories. All products were evaluated using the NPM method.ResultsIn all, 64 % of the products deemed a€?Smart Choicesa€? did not meet the NPM standard for a healthy product. Within each a€?Smart Choicesa€? category, 0 % of condiments, 8?·70 % of fats and oils, 15?·63 % of cereals and 31?·58 % of snacks and sweets met NPM thresholds. All sampled soups, beverages, desserts and grains deemed a€?Smart Choicesa€? were considered healthy according to the NPM standard.ConclusionsThe a€?Smart Choicesa€? programme is an example of industriesa€? attempts at self-regulation. More than 60 % of foods that received the a€?Smart Choicesa€? label did not meet standard nutritional criteria for a a€?healthya€? food choice, suggesting that industriesa€? involvement in designing labelling systems should be scrutinized. The NPM system may be a good option as the basis for establishing FOP labelling criteria, although more comparisons with other systems are needed.
机译:目标“明智选择”该计划是2009年8月在美国推出的一种行业驱动的包装前(FOP)营养标签系统,表面上可以帮助消费者在购物时选择更健康的选择。它的营养标准是由食品行业的成员与营养和公共卫生专家以及政府官员合作制定的。本研究的目的是测试标记为“智能选择”的产品的程度。可以根据非行业开发的经过验证的营养标准-营养特征模型(NPM)归类为健康选择。设计总共有100种包装产品符合“智能选择”标准。名称从八个食品和饮料类别中抽样。结果使用NPM方法对所有产品进行了评估。结果总共有64%的产品被认为是“智能选择”。不符合健康产品的NPM标准。在每个“智能选择”中类别中,调味品占0%,油脂占8-7.7%,谷物占15-63%,零食和甜食占31-58%,均达到NPM阈值。所有采样的汤,饮料,甜点和谷物均被视为“明智之选”。根据NPM标准被认为是健康的。结论程序是行业的一个例子?试图自我调节。超过60%的食物获得了“智能选择”食品标签不符合“健康”的标准营养标准食物的选择,表明该行业应仔细研究标签系统的设计。 NPM系统可能是建立FOP标签标准的基础的一个很好的选择,尽管需要与其他系统进行更多的比较。

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