It is evident from research conducted by UCLL and KU Leuven that when assessing how (un)healthy a food product is, they attach more importance to the Nutri-Score than the nutritional value table on the packaging.
It is evident from research conducted by UCLL and KU Leuven that when assessing how (un)healthy a food product is, they attach more importance to the Nutri-Score than the nutritional value table on the packaging.
The researchers asked 398 adult participants to estimate how (un)healthy 20 Delhaize own brand products are in four categories: drinks, ice cream, dairy products and ready meals. The retailer provided product visuals for the project. 52% of the participants were women and the average age of the participants was 31.
Eye-tracking
The researchers used so-called eye-tracking technology for the nutritional value assessment of the 20 products. A special device detects the participants’ eye movements. “The data shows that the longer the participants looked at the Nutri-Score, the better they could assess the nutritional quality of the products. Visual attention to the nutritional value table had absolutely no impact on the assessment of the products” says researcher Saar Bossuyt of UCLL.
It was also evident that the age of the participants and familiarity with the Nutri-Score has a clear impact. “Older participants were less accurate in their assessment of the nutritional quality than younger participants. Consumers who are already familiar with the Nutri-Score were also more successful in correctly estimating the nutritional value of the products”, explains Bossuyt.
More difficult to assess products
The research also revealed that the significance of the Nutri-Score is greater for products for which it is more difficult to estimate the nutritional value: rice pudding, scampi in garlic butter or lemonade. “There are no straightforward characteristics for these”, says Bossuyt. “We suspect that these are primarily products in which the presence or absence of sugars or fats and the presence or absence of fruit/vegetables are not clearly visible. “For the scampi, it was underestimated how unhealthy the presence of garlic butter and the absence of fruit and vegetables makes this product. Possibly, many participants reasoned: “OK. scampi, not unhealthy”, without thinking any further about the overall features of this product.”
The large image of a lemon on the packaging of the lemonade also led many participants to forget that it is a lemonade that contains a lot of sugar: “it’s like you are drinking a piece of fruit”, thinks Bossuyt. Participants estimated rice pudding to be unhealthier than it is, perhaps because they forgot that it is by nature low in fat. This is an example of a lack of product knowledge.
Collagen peptides are becoming ever more popular for beauty treatments. “However, there is still much need for consumer awareness and information from health care professionals”, says Tess Plaquet of Rousselot.
Artificial Intelligence and machine learning are taking giant strides. For his doctorate, Michiel Schreurs at KU Leuven researched how we can use AI to predict and understand the flavour of foodstuffs; where better to start than with Belgian beer. He starts off first of all with general conclusions on Artificial Intelligence and machine learning...
The chocolate industry is facing an unprecedented challenge. Climate change and years of underinvestment in cocoa plantations have led to a drastic rise in cocoa prices in the last year.
The Intrafood:24 seminar programme covers two current topics: ‘Applying AI in product development’ and ‘Contemporary, healthy nutritional concepts with sustainable natural ingredients’, explains Professor Koen Dewettinck (Ghent University) at this edition of the Intrafood fair to be held on 25 and 26 September 2024.