Table 1.
Year of Publication | Country | Authors Affiliated w Nutri-Score | Study Description | Results | Notes | Effect on FSA-NPS | Reference |
---|---|---|---|---|---|---|---|
2019 | CO | no | Randomised field trial in a university cafeteria, with randomly provided information on the Nutri-Score. n= 484 participants. | Using the Nutri-Score led to more protein, more calories and more expenditures (on healthy items only) in purchases. Purchases of ‘unhealthy’ products did not decrease. | Customers were 10% more likely to buy a healthier item than controls. Information on the Nutri-Score system increased the store’s sales. | Not investigated | Mora-Garcia et al., 2019 [16] |
2019 | SG | no | RCT investigating the effect of the Nutri-Score compared to the UK’s multiple traffic light system (MTL) and no label in online grocery store. n = 154 participants in a 3 × 3 crossover (within-person) design. | The Nutri-Score and MTL performed significantly better vs. no-label controls. NS performed statistically better than MTL and control-based on average Nutri-Score. MTL (but not the Nutri-Score) statistically reduced calories or sugar from beverages. | Thorough study with crossover design. | Not investigated | Finkelstein et al., 2019 [17] |
2021 | BE | no | A difference-in-difference analysis of a natural experiment in 43 supermarkets of a major retailer in Belgium versus 14 control stores, studying the impact of shelf tags with the Nutri-Score on consumer purchases. | The proportion of Nutri-Score B and C product sales was more favourable in intervention than control stores and less favourable for Nutri-Score D product sales. A positive impact was found for 17/58 food categories (vegetable, fruit and dairy products, and confectionery), a negative impact for 16/58 categories (bread and bakery products). |
The impact on consumer purchases was mixed as difference–in-differences found were favourable for Nutri-Score B and C products and unfavourable for Nutri-Score D products. Shelf labelling on its own is unlikely to significantly influence consumer behaviour. |
Not investigated | Vandevijvere and Berger 2021 [10] |
2020 | FR | no | RCT investigating four FOPLs (SENS, Nutri-Score, Nutri Repère, Nutri-Couleurs) to improve the nutritional quality of food purchases in real-life grocery shopping settings. |
The Nutri-Score increased purchases of foods in the top-third of their category by 14% nutrition-wise, but had no impact on purchases of foods with medium, low or unlabelled nutritional quality. |
The Nutri-Score improved the nutritional quality of labelled foods purchased by only 2.5% in the FSA-NPS score. Effect sizes were 17 times smaller on average than those found in comparable laboratory studies. | Yes, but based on four product groups only | Dubois et al., 2020 [18] |
2019 | FR | yes | Three RTCs in students (n = 1866), low-income individuals (n = 336), and cardiovascular patients (n = 1180) investigating the effect of the Nutri-Score on overall nutritional quality of purchases in an online supermarket compared to the RIs and no label. | Shopping cart contents were lower in calories and saturated fatty acids and higher in fruits and vegetables in the Nutri-Score arm than in the other arms. | No significant difference between the Nutri-Score and no-label groups or between RIs and no-label groups. | Yes, but no significant effect of Nutri-score versus no label | Egnell et al., 2019 [19] |
2021 | FR | yes | Three RTCs in students (n = 1866), low-income individuals (n = 336), and cardiovascular patients (n = 1180) investigating the effect of the Nutri-Score on purchasing intentions in an online supermarket compared to RIs and no label. | Shopping carts of participants simulating purchases with the Nutri-Score affixed to pre-packaged foods contained a higher proportion of unpacked products—especially raw fruits and meats, i.e., with no FoPL—comparedto participants purchasing with no label or withRIs. | This is a sequel paper to the one above (#17). It is a post-hoc analysis, viz. analyses that were not originally planned.“The Nutri-Score appears to decrease purchases in processed products resulting in higher proportions of unprocessed and unpacked foods, in line with public health recommendations.” | Not investigated | Egnell et al., 2021 [20] |
2021 | FR | yes | RCT investigating the effect of the Nutri-Scorecompared to RIs and no label. Participants (n = 336) went on a simulated grocery shopping at an experimental online supermarket. | The Nutri-Score performed significantly better versus RIs (overall nutritional quality of the shopping cart, and lower caloric and saturated fatty acids content), but not versus no label. | This is one of the three arms in the study mentioned above published as a separate paper. | Yes, but no significant effect of Nutri-score versus no label | Egnell et al., 2021 [21] |
2021 | NL | no | Investigate the effect of the Nutri-Score on (n = 192) consumer attitudes, taste perception, and purchase intention in an online environment by comparing the Nutri-Score’s efficacy on three different snacks labelled with Nutri-Score A, B, and C. | No effects of the Nutri-Score were observed on attitudes, taste perception, or purchase intention. | This study is similar to those conducted by the Nutri-Score’s developers. | Not investigated | Folkvord and Pabian 2021 [22] |
BE = Belgium; FR = France; CO = Colombia; NL = the Netherlands; SG = Singapore; FSA-NPS = Food Standard Agency Nutrient Profile Score; RIs = reference intakes.