The Nutri-Score: A Balancing Act of Nutrients
The Nutri-Score is a voluntary front-of-pack nutritional labeling system developed in France and recommended in several European countries. Its core purpose is to provide consumers with simplified, color-coded information on a food product's overall nutritional quality, making it easier to compare similar items and make more informed choices. The entire system is rooted in an algorithm that assigns and subtracts points based on a product's composition per 100 grams or 100 milliliters.
How the Nutri-Score Calculation Works
The scoring process is fundamentally a balancing act between "less favorable" and "favorable" nutritional components. The algorithm assigns points based on a product's composition per 100 grams or 100 milliliters. Points are given for elements that should be limited (negative points) and subtracted for those that should be encouraged (positive points). The final score places the product on a five-color scale, from dark green 'A' (best) to dark orange 'E' (worst). This encourages manufacturers to reformulate products to improve their score.
Steps for Calculating the Nutri-Score:
- Gather Nutrient Data: Collect nutritional information per 100g or 100ml, including energy (kJ), sugar, saturated fats, sodium, protein, and fiber.
- Calculate Negative Points (N): Assign points for energy density, sugar, saturated fat, and sodium content. Higher amounts result in more negative points.
- Calculate Positive Points (P): Award points for protein, dietary fiber, and the percentage of fruits, vegetables, legumes, and certain vegetable oils.
- Determine the Final Score: Subtract positive points (P) from negative points (N) (Nutri-Score = N - P). Specific rules may apply to certain food categories.
- Assign the Letter Grade: Convert the total score into an A-E grade based on defined thresholds. Lower scores indicate better nutritional quality.
Special Rules for Specific Food Categories
Specific algorithms are used for categories like beverages, cheese, fats/oils/nuts, and red meat to provide a more representative score. More details can be found on {Link: NCBI PMC https://pmc.ncbi.nlm.nih.gov/articles/PMC9694186/}.
Components that Define a Nutri-Score
The Nutri-Score considers nutritional components like energy density, simple sugars, saturated fatty acids, and sodium as negative factors. Positive factors include fiber, protein, fruits, vegetables, nuts, and healthy oils. For further details on these components, see {Link: NCBI PMC https://pmc.ncbi.nlm.nih.gov/articles/PMC9694186/}.
2023 Algorithm Updates
Updates in 2023 aimed to better align with nutritional guidelines, improving the scoring of fiber-rich products and adjusting the evaluation of beverages with sweeteners. For a comprehensive list of these updates, please consult {Link: NCBI PMC https://pmc.ncbi.nlm.nih.gov/articles/PMC9694186/}.
Conclusion
The French Nutri-Score uses a scientific algorithm to balance negative (energy, sugar, saturated fats, sodium) and positive (fiber, protein, fruits, vegetables, nuts) nutritional components. This results in a simple color-coded letter grade for consumer comparison. Regular updates, like those in 2023, ensure the system aligns with current science and dietary advice. More information on Nutri-Score's limitations, such as not accounting for processing degree or micronutrients, can be found on {Link: NCBI PMC https://pmc.ncbi.nlm.nih.gov/articles/PMC9694186/}.