Precision Food Composition Data as a Tool to Decipher the Riddle of Ultra-Processed Foods and Nutritional Quality.

BACKGROUND: Epidemiology supports a link between ultra-processed foods (UPFs) and health, mediated mainly through the clustering of foods with suboptimal nutrient profiles within UPFs. However, successful NOVA categorization requires access to a food's ingredient list, which we hypothesized can impact both UPF identification and the link between processing and composition. METHODS: Foods (n = 4851) in the HelTH branded food composition database were classified as NOVA1-4, with or without using the ingredient lists (generic and branded approach, respectively), to identify differences in NOVA classification (chi-square test) and the estimated average nutritional composition of each NOVA group (Kruskal-Willis U test). RESULTS: Using the ingredients list increased UPF identification by 30%. More than 30% of foods commonly assumed to be minimally processed (NOVA1-plain dairy, frozen vegetables, etc.) were reclassified as UPFs when using ingredient lists. These reclassified foods, however, had nutritional compositions comparable to NOVA1 foods and better than UPFs for energy, fat, sugars, and sodium (p < 0.001). In fact, UPFs did not show a uniform nutritional composition covering foods from Nutri-Score A (~10%) to Nutri-Score E (~20%). CONCLUSIONS: The assumption that all UPFs have the same unfavorable nutritional composition is challenged when NOVA is applied using the appropriate branded food composition database.

Food Allergens in Ultra-Processed Foods According to the NOVA Classification System: A Greek Branded Food Level Analysis.

Ultra-processed foods' (UPFs') consumption has been positively linked to the presence of allergic symptoms, but it is yet unknown whether this is linked to their nutritional composition or allergen load. This study used the ingredient lists available in the Greek Branded Food Composition Database, HelTH, to classify foods (n = 4587) into four grades of food processing (NOVA1-4) according to the NOVA System. Associations between NOVA grades and the presence of allergens (as an ingredient or trace) were studied. Overall, UPFs (NOVA4) were more likely to contain allergens than unprocessed foods, NOVA1 (76.1% vs. 58.0%). However, nested analyses among similar foods showed that in >90% of cases, processing degree was not linked to allergens' presence. Recipe/matrix complexity was more strongly linked to allergens' presence with NOVA4 foods declaring 1.3 allergenic ingredients vs. 0.4 allergenic ingredients in NOVA1 foods (p < 0.01). Exposure to trace allergens was more common for NOVA4 than NOVA1 foods (45.4% vs. 28.7%), but the extent of contamination was similar (2.3 vs. 2.8 trace allergens). Overall, UPFs are more complex mixtures with higher numbers of allergens per food and are more prone to cross-contamination. However, indicating a food's degree of processing is not sufficient to help identify allergen-free choices within the same subcategory.

Ultra-Processed Foods in the Mediterranean Diet according to the NOVA Classification System; A Food Level Analysis of Branded Foods in Greece.

While the Mediterranean diet (MD) is championed as a healthy and sustainable dietary pattern, the NOVA classification is discussed as a tool to identify ultra-processed foods and further specify healthy food choices. We tested whether the NOVA System aligns with the MD recommendations as presented in the MD pyramids. Foods from the Greek branded food composition database, HelTH, (n = 4581) were scored according to NOVA and assigned to the tiers of the traditional and/or sustainable MD pyramids. Nutritional quality was measured as nutrient content and Nutri-Score grades. NOVA identified 70.2% of all foods as UPFs, and 58.7% or 41.0% of foods included in the sustainable and the traditional MD, respectively. Although foods at the top of the pyramids were mostly (>80%) UPFs, NOVA identified > 50% of foods in the MD base as UPFs. Only 22-39% of foods in the MD base were not UPFs and of high nutritional quality (Nutri-Score A-B). NOVA has low discriminatory capacity across the MD tiers, and it restricts food choices to <30% of foods currently available in supermarkets and <60% within the recommended MD tiers. Therefore, the NOVA classification cannot always identify suitable food choices under the MD pyramid in the modern packaged food environment.