University Grenoble Alpes, INRAE, CNRS, Grenoble INP, GAEL, 38000 Grenoble, France.
Nutrients. 2020 Sep 19;12(9):2870. doi: 10.3390/nu12092870.
The relative impacts on food purchases of many alternative front-of-pack nutritional labelling systems were tested, with various methods-from opinion pool to nationwide experiments. Clearly, some systems induce better purchasing responses, having better nutritional impacts on food baskets. Nonetheless, we still ignore what the ingredients of an efficient label are. Here, we propose guidance for label designers. To do so, we first propose a typology that breaks down established labelling systems into four elementary components: , , and . On this basis, we then build seven alternative generic labelling systems that we test in a framed-field experiment enabling us to measure the effect of each component on food purchases in isolation. Our results show that an effective front-of-pack labelling system should be Food-Directive (instead of Diet-Directive) and be displayed on both healthy and unhealthy food. The reference set, which is across categories or within categories, produces the same average nutrition score but generates contrasting behavioural responses.
多种替代的食品包装正面标签营养标识系统对食品购买的相对影响进行了测试,采用了多种方法,从意见池到全国性实验。显然,一些系统能更好地引导购买行为,对食品篮产生更好的营养影响。尽管如此,我们仍然不知道一个有效的标签的成分是什么。在这里,我们为标签设计师提供了一些指导。为此,我们首先提出了一种分类法,将现有的标签系统分解为四个基本组成部分:强制性、非强制性、激励性和信息性。在此基础上,我们构建了七个替代的通用标签系统,并在一个有框定的现场实验中进行了测试,使我们能够单独测量每个组成部分对食品购买的影响。我们的结果表明,一个有效的食品包装正面标签系统应该是食品导向(而不是饮食导向),并同时应用于健康食品和不健康食品。跨类别或类别内的参考集产生相同的平均营养得分,但产生了相反的行为反应。