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September 10, 2026BMC NutritionOpen Access

A hybrid nutrient profiling–processing framework to better inform healthy food choices

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Authors

MRMadina RazbekovaASAkkumis SalkhanovaASAlmaz Sharman

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Overview

Comparative database analysis demonstrates systematic reductions in front-of-pack health scores across 5,503 food products, suggesting hybrid models better capture the impact of ultra-processing.

Key Points

  • Evaluate whether integrating the Brazilian NOVA food processing classification into the Health Star Rating (HSR) model prevents overestimating the healthfulness of highly processed foods.
  • Evaluated N=5,503 food products and dishes across 13 food categories compiled from four international databases: German BLS, USDA FoodData Central, UK CoFID, and Skurikhin.
  • Applied NOVA processing-based penalties to baseline HSR algorithms and compared baseline versus modified score distributions using Wilcoxon signed-rank tests.
  • Incorporating processing deductions led to statistically significant decreases in HSR scores across most food categories compared to baseline (p ≤ 0.0001).
  • Significant score reductions were observed across meat products, sauces and spreads, bakery items, convenience foods, dairy, cereals, and snacks.

Cite This Study

Razbekova et al. (2026) studied this question.

synapsesocial.com/papers/6aa27bbd58559d80afc75361https://doi.org/10.1186/s40795-026-01479-x
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