Ultra-processed foods (UPF), per the NOVA Classification, provide a major source of calories within modern food systems and are associated with poor health outcomes related to chronic inflammation. Dietary antioxidants play a key role in preventing disease, however, the relationship between the NOVA Classification and the total antioxidant content (TAC) of foods is not well-characterized. We hypothesized that TAC would be highest in Minimally Processed (MPF), lower in Processed (PRF), and lowest in UPF. TAC data for 3,137 animal-based, mixed, and plant-based food items were obtained from a published data set. After data cleaning, 1,946 food items and their TAC values were analyzed using two hierarchal linear models (alpha: p<0.05). MPF had the highest mean TAC (10.79 ± 0.87 mmol/100g) and were 11.31-fold and 10.72-fold higher than PRF and UPF, respectively (p=0.023). Plant-based and Mixed foods had a higher mean TAC (8.55 ± 0.68 and 1.12 ± 0.11 mmol/100g, respectively) and were 22.67-fold and 2.98-fold higher compared to animal-based foods (p<0.001). Food processing did not change mean TAC in Mixed and Animal-based foods; however, plant-based MPF had a higher mean TAC (11.49 ± 0.93 mmol/100g) and were 9.88-fold and 15.12-fold higher compared to plant-based PRF and UPF, respectively (p<0.001). Mean TAC differed between NOVA processing groups for three categories of food: Vegetables, Beverages, and Beans, Nuts & Seeds (p<0.001). Across all food items, and especially plant-based foods, mean TAC decreased with food processing. The lower TAC of UPFs may at least partially explain why their consumption promotes inflammatory chronic disease.

The aim of this study was to describe the dietary intake of British vegetarians according to the Nova classification and to evaluate the association between the consumption of ultra-processed foods and the nutritional quality of the diet. We used data from the UK national survey (2008/2019). Food collected through a 4-d record were classified according to the Nova system. In all tertiles of the energy contribution of ultra-processed foods, differences in the average nutrient intake, as well as in the prevalence of inadequate intake, were analysed, considering the values recommended by international authorities. Ultra-processed foods had the highest dietary contribution (56·3 % of energy intake), followed by fresh or minimally processed foods (29·2 %), processed foods (9·4 %) and culinary ingredients (5 %). A positive linear trend was found between the contribution tertiles of ultra-processed foods and the content of free sugars (β 0·25, P < 0·001), while an inverse relationship was observed for dietary fibre (β –0·26, P = 0·002), potassium (β –0·38, P < 0·001), Mg (β –0·31, P < 0·001), Cu (β –0·22, P < 0·003), vitamin A (β –0·37, P < 0·001) and vitamin C (β –0·22, P < 0·001). As the contribution of ultra-processed foods to total energy intake increased (from the first to the last tertile of consumption), the prevalence of inadequate intake of free sugars increased (from 32·9 % to 60·7 %, respectively), as well as the prevalence of inadequate fibre intake (from 26·1 % to 47·5 %). The influence of ultra-processed foods on the vegetarian diet in the UK is of considerable magnitude, and the consumption of this food was associated with poorer diet quality.

The study evaluated the association between ultra-processed foods (UPF) and nutrient intake and identified the socio-demographic characteristics associated with UPF consumption among a nationally representative sample of middle-older adults. Dietary assessment was collected in 2013 using a validated FFQ. The Nova system was used to classify food and drinks into UPF. The percentage of dietary energy from UPF was calculated and used throughout the analyses, and average nutrient intake across quintiles of UPF was evaluated. The determinants associated with the dietary caloric contribution of UPF intake were investigated using linear regression models. A cross-sectional analysis of a nationally representative study of Americans over the age of 50, the Health and Retirement Study, was conducted. The analysis included 6220 participants. The mean age was 65 (se 0·28) years, with 55 % being female. UPF intake accounted for 51 % (se 0·25) of total intake. An increase in the percentage of (%UPF) consumption was correlated with an increase in calories, carbohydrates, saturated fat and sugar, and a decrease in fibre, vitamins and minerals. %UPF intake was inversely associated with being Hispanic, higher income, physical activity, vegetarian diet and Mediterranean diet but positively associated with very low food insecurity. UPF represented half of the calories consumed. A higher %UPF intake was associated with a lower nutrient profile, suggesting decreasing %UPF intake as a strategy to improve the nutritional quality of middle-older adults. A few socio-demographic factors were associated with %UPF, which would help in planning strategies to reduce UPF consumption.

Broad variations in dietary and physical activity patterns are part of nutritional transition concept. An additional nutritional transition has as main characteristic the change of consumption of processed foods for ultra-processed foods (UPF). This study aims to evaluate trends of UPF availability in Portuguese population and its association with diet-related non-communicable diseases (NCD) health indicators. This ecological study used data from the Household Budget Surveys conducted by the National Statistics Institute each 5 years within a national representative sample of households. The percentage of UPF was calculated based on the total daily amount of food and beverages available per capita (in grams). Data from the years 1990, 1995, 2000 and 2005 were used, which were retrieved from DAFNE-Anemos Software. NCD age-standardised mortality, prevalence and incidence were obtained from the Global Burden of Disease database, for the years 2000, 2005, 2010 and 2015. Between 1990 and 2005, the UPF availability increased from 3·9 % to 13·8 %. Over the years, almost all food and beverages categories increased the UPF availability contribution, mainly noticeable for milk, sugar, cereal and meat products. Positive correlations were observed between UPF availability and digestive diseases both in prevalence (r = 0·062; P = 0·037) and incidence (r = 0·005; P = 0·010) measures. Neoplasms incidence also showed positive correlation with UPF availability (r = 0·002; P = 0·012). Trends in UPF availability in Portugal increased exponentially. At the same time, there is a trend towards a decrease in unprocessed and processed food availability. The Portuguese population should be made aware of the health risks resulting from excessive consumption of UPF.

The analysis of food using a perspective centred on nutrients seems inadequate for understanding the dietary transition and its impact on the growth of obesity and chronic diseases. Industrial food processing is now proposed as the key to explain the relationship between food and health. The NOVA food classification considers the degree and the purpose of food processing, which includes physical, biological and chemical processes used after foods are separated from nature, and before being consumed or prepared as dishes and meals. NOVA has four food groups: (1) unprocessed and minimally processed foods; (2) processed culinary ingredients; (3) processed foods and (4) ultra-processed foods, which are formulations made mostly or entirely from substances derived from group 1 foods and additives, with little if any intact group 1 food. Many investigations linking high ultra-processed food consumption with deterioration of diets and adverse health outcomes are reinforced by prospective studies, systematic reviews and meta-analyses. There are various plausible explanations of why diets high in ultra-processed foods are harmful. Their production and consumption continue to rise worldwide. Efficient and effective public policies and actions that reduce production and consumption of ultra-processed products are needed, to protect human health now and in future.

The rates of dietary protein digestion and absorption can be significantly increased or decreased by food processing treatments such as heating, gelling and enzymatic hydrolysis, with subsequent metabolic impacts, e.g. on muscle synthesis and glucose homeostasis.

This review examines in vivo evidence that industrial and domestic food processing modify the kinetics of amino acid release and absorption following a protein-rich meal. It focuses on studies that used compositionally-matched test meals processed in different ways.

Food processing at extremely high temperature at alkaline pH and/or in the presence of reducing sugars can modify amino acid sidechains, leading to loss of bioavailability. Some protein-rich food ingredients are deliberately aggregated, gelled or hydrolysed during manufacture. Hydrolysis accelerates protein digestion/absorption and increases splanchnic utilisation. Aggregation and gelation may slow or accelerate proteolysis in the gut, depending on the aggregate/gel microstructure.

Milk, beef and eggs are heat processed prior to consumption to eliminate pathogens and improve palatability. The temperature and time of heating affect protein digestion and absorption rates, and effects are sometimes non-linear. In light of a dietary transition away from animal proteins, more research is needed on how food processing affects digestion and absorption of non-animal proteins.

Food processing modifies the microstructure of protein-rich foods, and thereby alters protein digestion and absorption kinetics in the stomach and small intestine. Exploiting this principle to optimise metabolic outcomes requires more human clinical trials in which amino acid absorption rates are measured and food microstructure is explicitly considered, measured and manipulated.

Although ultra-processed foods represent more than half of the total energy consumed by the UK population, little is known about the trend in food consumption considering the degree of food processing. We evaluated the trends of the dietary share of foods categorised according to the NOVA classification in a historical series (2018–2019) among the UK population. Data were acquired from the NDNS, a survey that collects diet information through a 4-d food record. We used adjusted linear regression to estimate the dietary participation of NOVA groups and evaluated the linear trends over the years. From 2008 to 2019, we observed a significant increase in the energy share of culinary ingredients (from 3·7 to 4·9 % of the total energy consumed; P-trend = 0·001), especially for butter and oils; and reduction of processed foods (from 9·6 to 8·6 %; P-trend = 0·002), especially for beer and wine. Unprocessed or minimally processed foods (≅30 %, P-trend = 0·505) and ultra-processed foods (≅56 %, P-trend = 0·580) presented no significant change. However, changes in the consumption of some subgroups are noteworthy, such as the reduction in the energy share of red meat, sausages and other reconstituted meat products as well as the increase of fruits, ready meals, breakfast cereals, cookies, pastries, buns and cakes. Regarding the socio-demographic characteristics, no interaction was observed with the trend of the four NOVA groups. From 2008 to 2019 was observed a significant increase in culinary ingredients and a reduction in processed food. Furthermore, it sheds light on the high share of ultra-processed foods in the contemporary British diet.

The NOVA classification of food items has become increasingly popular and is being used in several observational studies as well as in nutritional guidelines and recommendations. We propose that there is a need for this classification and its use in the formulation of public health policies to be critically discussed and re-appraised. The terms ‘processing’ and ‘ultra-processing’, which are crucial to the NOVA classification, are ill-defined, as no scientific, measurable or precise reference parameters exist for them. Likewise, the theoretical grounds of the NOVA classification are unclear and inaccurate. Overall, the NOVA classification conflicts with the classic, evidence-based evaluation of foods based on composition and portion size because NOVA postulates that the food itself (or how much of it is eaten) is unimportant, but rather that dietary effects are due to how the food is produced. We contend that the NOVA system suffers from a lack of biological plausibility so the assertion that ultra-processed foods are intrinsically unhealthful is largely unproven, and needs further examination and elaboration.

This study aimed to investigate the association of ultra-processed food consumption at 4 and 7 years of age with appetitive traits at 7 years and BMI at 10 years of age. Participants were 1175 children of the population-based birth cohort Generation XXI, who provided food diaries and complete data on socio-demographic variables, anthropometric measures and the Portuguese Children’s Eating Behaviour Questionnaire (P-CEBQ). Foods were grouped according to NOVA classification into: ‘unprocessed, minimally or moderately processed, and culinary preparations’; ‘processed’ and ‘ultra-processed’. To assess tracking of groups’ consumption, Pearson’s correlation coefficient (r) and the intraclass correlation coefficient (ICC) were calculated. Generalised linear models were fitted to test main associations, mediators and interactions among the variables. Ultra-processed consumption exhibited a fair level of stability between ages 4 and 7 years (r 0·34; ICC = 0·32; 95 % CI 0·25, 0·39), corresponding, respectively, to 27·3 % (1881·9 (SD 908·8) kJ/d) and 29·3 % (2204·5 (SD 961·1) kJ/d) of total energy intake. After adjusting for maternal and child characteristics, higher ultra-processed consumption at 4 years was associated directly with ‘Food Responsiveness’ (β = 0·019; 95 % CI 0·007, 0·037) and indirectly through energy intake with avoidant traits: ‘Food Fussiness’ (β = –0·007; 95 % CI 0·002, 0·012) and ‘Satiety Responsiveness’ (β = –0·007; 95 % CI 0·003, 0·012). Ultra-processed consumption at 4 years old was associated with BMI at 10 years old, but appetitive behaviours were not powerful mediators of this association. The results suggest a path by which ultra-processed products may impact on later appetitive traits and higher BMI in children.

This study aims to investigate the dietary share of ultra-processed foods and its association with the non-communicable disease (NCD)-related nutrient profile of adult and elderly populations in Portugal. Cross-sectional data from the National Food, Nutrition and Physical Activity Survey (2015–2016) of the Portuguese population were analysed. Dietary intake was assessed by two non-consecutive 24-h recalls, and food items were classified according to the NOVA system. We estimated the percentage of dietary energy provided by each of the NOVA food groups and assessed the NCD-related nutrient profile of the overall diet across quintiles of ultra-processed food consumption. Weighted t tests, besides crude and adjusted linear and Poisson regressions, were performed. Ultra-processed foods contributed to around 24 and 16 % of daily energy intake for adults and elderly, respectively. In both groups, as the consumption of ultra-processed foods increased, the dietary content of free sugars, total fats and saturated fats increased, while the dietary content of protein decreased. In adults, total energy intake, dietary energy density and content of carbohydrates also increased as the consumption of ultra-processed foods increased, while the dietary content of fibre, Na and K decreased. The prevalence of those exceeding the upper limits recommended for free sugars and saturated fats increased by 544 and 153 % in adults and 619 and 60 % in elderly, when comparing the lowest with the highest quintile of ultra-processed food consumption. Such a scenario demands for effective strategies addressing food processing in the Portuguese population to improve their diet quality and prevention against diet-related NCD.

Street food is popular in Eastern Europe, but its diversity and nutritional value are unknown. This study aimed to characterise the street food environment in Chişinău, Moldova, including the vending sites and vendors, food availability and nutritional composition of foods and beverages. All street food vending sites (single point of sale) located in a 1-km buffer centred on the main public market were systematically selected (n 439; n 328 participants). Data on vending sites’ characteristics (mobility, type of physical set-up and access to electricity), operating periods and food availability were collected. Samples of the most commonly available foods of unknown composition were collected (twenty-eight home-made and twenty-four industrial). Macronutrients, Na and K were quantified through chemical analysis. Fruits, beverages and food other than fruits were available in 2·5, 74·3 and 80·8 % of the vending sites, respectively. Among the latter, 66·4 % sold only industrial foods (e.g. pretzels, biscuits, wafers, chocolate and ice cream), 21·5 % only home-made (e.g. savoury and sweet pastries) and 12·1 % both. Home-made foods presented larger serving sizes and energy/serving (median kJ/serving: 1312·5 v. 670·3, P = 0·022); industrial foods were more energy-dense (median kJ/100 g: 1797·0 v. 1269·8, P = 0·002). High SFA, trans-fat and Na contents were found, reaching 10·9 g/serving, 1·4 g/serving and 773·7 mg/serving, respectively. Soft drinks and alcoholic beverages were available in 80·7 and 42·0 % of the vending sites selling beverages, respectively. Concluding, industrial snacks and home-made pastries high in Na and unhealthy fat were frequent in Chişinău. Prevention of diet-related diseases in Moldova may benefit from the improvement of the nutritional profile of street food.