We described the contribution of ultra-processed foods in the U.K. diet and its association with the overall dietary content of nutrients known to affect the risk of chronic non-communicable diseases (NCDs). Cross-sectional data from the U.K. National Diet and Nutrition Survey (2008–2014) were analysed. Food items collected using a four-day food diary were classified according to the NOVA system. The average energy intake was 1764 kcal/day, with 30.1% of calories coming from unprocessed or minimally processed foods, 4.2% from culinary ingredients, 8.8% from processed foods, and 56.8% from ultra-processed foods. As the ultra-processed food consumption increased, the dietary content of carbohydrates, free sugars, total fats, saturated fats, and sodium increased significantly while the content of protein, fibre, and potassium decreased. Increased ultra-processed food consumption had a remarkable effect on average content of free sugars, which increased from 9.9% to 15.4% of total energy from the first to the last quintile. The prevalence of people exceeding the upper limits recommended for free sugars and sodium increased by 85% and 55%, respectively, from the lowest to the highest ultra-processed food quintile. Decreasing the dietary share of ultra-processed foods may substantially improve the nutritional quality of diets and contribute to the prevention of diet-related NCDs.

The aim of this study was to evaluate the relationship between the consumption of ultra-processed foods and obesity indicators among Brazilian adults and adolescents. We used cross-sectional data on 30,243 individuals aged ≥10 years from the 2008-2009 Brazilian Dietary Survey. Food consumption data were collected through 24-h food records. We classified food items according to characteristics of food processing. Ultra-processed foods were defined as formulations made by the food industry mostly from substances extracted from foods or obtained with the further processing of constituents of foods or through chemical synthesis, with little if any whole food. Examples included candies, cookies, sugar-sweetened beverages, and ready-to-eat dishes. Regression models were fitted to evaluate the association of the consumption of ultra-processed foods (% of energy intake) with body-mass-index, excess weight, and obesity status, controlling for socio-demographic characteristics, smoking, and physical activity. Ultra-processed foods represented 30% of the total energy intake. Those in the highest quintile of consumption of ultra-processed foods had significantly higher body-mass-index (0.94 kg/m(2); 95% CI: 0.42,1.47) and higher odds of being obese (OR=1.98; 95% CI: 1.26,3.12) and excess weight (OR=1.26; 95% CI: 0.95,1.69) compared with those in the lowest quintile of consumption. Our findings support the role of ultra-processed foods in the obesity epidemic in Brazil.

Recent population dietary studies indicate that diets rich in ultra-processed foods, increasingly frequent worldwide, are grossly nutritionally unbalanced, suggesting that the dietary contribution of these foods largely determines the overall nutritional quality of contemporaneous diets. Yet, these studies have focused on individual nutrients (one at a time) rather than the overall nutritional quality of the diets. Here we investigate the relationship between the energy contribution of ultra-processed foods in the US diet and its content of critical nutrients, individually and overall. We evaluated dietary intakes of 9,317 participants from 2009 to 2010 NHANES aged 1+ years. Food items were classified into unprocessed or minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods. First, we examined the average dietary content of macronutrients, micronutrients, and fiber across quintiles of the energy contribution of ultra-processed foods. Then, we used Principal Component Analysis (PCA) to identify a nutrient-balanced dietary pattern to enable the assessment of the overall nutritional quality of the diet. Linear regression was used to explore the association between the dietary share of ultra-processed foods and the balanced-pattern PCA factor score. The scores were thereafter categorized into tertiles, and their distribution was examined across ultra-processed food quintiles. All models incorporated survey sample weights and were adjusted for age, sex, race/ethnicity, family income, and educational attainment. The average content of protein, fiber, vitamins A, C, D, and E, zinc, potassium, phosphorus, magnesium, and calcium in the US diet decreased significantly across quintiles of the energy contribution of ultra-processed foods, while carbohydrate, added sugar, and saturated fat contents increased. An inverse dose–response association was found between ultra-processed food quintiles and overall dietary quality measured through a nutrient-balanced-pattern PCA-derived factor score characterized by being richer in fiber, potassium, magnesium and vitamin C, and having less saturated fat and added sugars. This study suggests that decreasing the dietary share of ultra-processed foods is a rational and effective way to improve the nutritional quality of US diets.

OBJETIVO Descrever características da alimentação dos participantes da coorte NutriNet Brasil imediatamente antes e na vigência da pandemia de covid-19. MÉTODOS Os dados deste estudo provêm de coorte de adultos criada para investigar prospectivamente a relação entre alimentação e morbimortalidade por doenças crônicas não transmissíveis no Brasil. Para este estudo, foram selecionados os primeiros participantes (n = 10.116) que responderam por duas vezes a questionário simplificado sobre sua alimentação no dia anterior, a primeira vez ao ingressar no estudo, entre 26 de janeiro e 15 de fevereiro de 2020, e a segunda entre 10 e 19 de maio de 2020. O questionário indaga sobre o consumo de marcadores de alimentação saudável (hortaliças, frutas e leguminosas) e não saudável (alimentos ultraprocessados). Comparações de indicadores baseados no consumo desses marcadores antes e na vigência da pandemia são apresentadas para o conjunto da população estudada e segundo sexo, faixa etária, macrorregião de residência e escolaridade. Testes qui-quadrado e testes t foram utilizados para comparar proporções e médias, respectivamente, adotando-se p < 0,05 para identificar diferenças significantes. RESULTADOS Para o conjunto dos participantes, identificou-se aumento modesto, porém estatisticamente significante, no consumo de marcadores de alimentação saudável e estabilidade no consumo de marcadores de alimentação não saudável. Esse padrão favorável de mudanças na alimentação com a pandemia se repetiu na maior parte dos estratos sociodemográficos. Padrão menos favorável de mudanças, com tendência de aumento no consumo de marcadores de alimentação saudável e não saudável, foi observado nas macrorregiões Nordeste e Norte e entre pessoas com menor escolaridade, sugerindo desigualdades sociais na resposta à pandemia. CONCLUSÕES Caso confirmada, a tendência de aumento no consumo de alimentos ultraprocessados nas regiões economicamente menos desenvolvidas e por pessoas com menor escolaridade preocupa, pois a ingestão desses alimentos eleva o risco de obesidade, hipertensão e diabetes, cuja presença aumenta a gravidade e a letalidade da covid-19.