Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), U1153 Inserm, U1125, Inra, Cnam, Paris 13 University, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Santé publique France, the national public health agency, Saint-Maurice, France.
PLoS One. 2018 Aug 23;13(8):e0202095. doi: 10.1371/journal.pone.0202095. eCollection 2018.
To improve nutritional status and prevent chronic nutrition-related diseases, international organizations have recommended the use of multiple strategies, including front-of-package nutrition labelling (FOPL). In France, the Nutri-Score has been selected by health authorities in March 2017. However, to be effective in purchasing situations, the label needs to be well understood, which may be influenced by label format and sociodemographic characteristics. This study aimed at investigating the objective understanding of the Nutri-Score compared to other label formats, and more particularly among specific at-risk populations.
The objective understanding of four FOPLs-namely Nutri-Score, Multiple Traffic Lights (MTL), the simplified nutrition labelling system (SENS), and modified Reference Intakes (mRIs)-was investigated in a sample from the NutriNet-Santé French cohort (n = 3,751). Logistic regression mixed models were computed to assess the association of the four FOPLs, compared to a "no label" situation, on the consumers' ability to rank products according to their overall nutritional quality. Objective understanding was also investigated according to sociodemographic and lifestyle characteristics.
Compared to a "no label" situation, all FOPLs were significantly associated to an increase in consumers' ability to classify the products correctly, with wide disparities in results according to formats. The best performance was observed for the Nutri-Score (OR = 20.33(17.68-23.37)), followed by SENS (OR = 9.57(8.50-10.77)), MTL (OR = 3.55(3.20-3.93)) and mRIs (OR = 1.53(1.39-1.69)). This ranking was similar among all sub-populations and the ORs associated to the Nutri-Score were over 10, whichever the sub-group considered. Women, younger people, non-smokers, individuals with higher educational level and those with children had a higher capacity to identify healthier products (all P≤0.05).
Nutri-Score, with a summarized graded and color-coded format, using semantic colours, is associated to a higher objective understanding than monochrome and nutrient-specific labels. Furthermore, though objective understanding may differ according to individual characteristics of subjects, the magnitude of effect of the Nutri-Score largely outweighed this effect, even in the at-risk populations.
为了改善营养状况和预防与营养相关的慢性疾病,国际组织建议采用多种策略,包括包装正面营养标签(FOPL)。2017 年 3 月,法国卫生当局选择了 Nutri-Score。然而,为了在购买情况下有效,标签需要被很好地理解,这可能受到标签格式和社会人口特征的影响。本研究旨在调查 Nutri-Score 与其他标签格式相比的客观理解情况,特别是在特定高危人群中。
在 NutriNet-Santé 法国队列(n=3751)的样本中,调查了四种 FOPL(即 Nutri-Score、多色信号灯(MTL)、简化营养标签系统(SENS)和改良参考摄入量(mRIs))的客观理解情况。使用逻辑回归混合模型来评估与“无标签”情况相比,四种 FOPL 对消费者根据产品整体营养质量对产品进行分类的能力的关联。还根据社会人口统计学和生活方式特征调查了客观理解情况。
与“无标签”情况相比,所有 FOPL 都与消费者正确分类产品的能力增加显著相关,结果根据格式有很大差异。Nutri-Score 的表现最好(OR=20.33(17.68-23.37)),其次是 SENS(OR=9.57(8.50-10.77))、MTL(OR=3.55(3.20-3.93))和 mRIs(OR=1.53(1.39-1.69))。这种排名在所有亚组中都相似,无论考虑哪个亚组,与 Nutri-Score 相关的 OR 都超过 10。女性、年轻人、不吸烟者、教育程度较高和有孩子的人有更高的能力识别更健康的产品(所有 P≤0.05)。
Nutri-Score 采用总结性分级和彩色编码格式,使用语义颜色,与单色和营养素特定标签相比,具有更高的客观理解能力。此外,尽管个体特征可能会影响主观理解,但 Nutri-Score 的影响程度大大超过了这种影响,即使在高危人群中也是如此。