To compare ultra-processing markers and nutrient composition in plant-based meat products (PBMP) with equivalent meat-based products (MBP).

A total of 282 PBMP and 149 MBP within 18 product categories were assessed. Based on the NOVA classification, 33 ultra-processing markers were identified and six ultra-processing bullet categories were defined, that is flavour, flavour enhancer, sweetener, colour, other cosmetic additives and non-culinary ingredients. The ingredient lists were analysed concerning these ultra-processing markers and ultra-processing bullet categories, as well as nutrient composition, for all PBMP and MBP. Differences between PBMP and MBP were assessed using chi-square and Mann-Whitney U tests, respectively.

Cross-sectional analysis.

282 PBMP and 149 MBP.

The percentage of ultra-processed food (UPF) items was significantly higher in PBMP (88 %) as compared to MBP (52 %) (P < 0·0001). The proportion of UPF items was numerically higher in 15 out of 18 product categories with differences in six categories reaching statistical significance (P < 0·05). Flavour, flavour enhancer, colour, other cosmetic additives and non-culinary ingredients were significantly more prevalent in PBMP as compared to MBP (P < 0·0001). Concerning nutrient composition, median energy, total fat, saturated fat and protein content were significantly lower, whereas the amounts of carbohydrate, sugar, fibre and salt were significantly higher in PBMP (P < 0·05).

Ultra-processing markers are significantly more prevalent in PBMP as compared to MBP. Since UPF intake has been convincingly linked to metabolic and CVD, substituting MBP with PBMP might have negative net health effects.

To elucidate which markers of ultra-processing (MUP) and their combinations are best suited to detect ultra-processed food (UPF).

The study was based on the 206 food and 32 beverage items of the Oxford WebQ which encompass all major foods consumed in the UK. For each Oxford WebQ question, ingredient lists of up to ten matching different commercial products (n 2146) were researched online using data from the two market leaders of groceries in the UK sorted by relevance (Tesco) and by top sellers (Sainsbury’s), respectively. According to the NOVA classification, sixty-five MUP were defined, and if the ingredient list of a food product was positive for at least one MUP, it was regarded as UPF. The percentage of UPF items containing specific MUP was calculated. In addition, all combinations of two to six different MUP were assessed concerning the percentage of identified UPF items.

Cross-sectional analysis.

None.

A total of 990 products contained at least one MUP and were, therefore, regarded as UPF. The most frequent MUP were flavour (578 items, 58·4 % of all UPF), emulsifiers (353 items, 35·7 % of all UPF) and colour (262 items, 26·5 % of all UPF). Combined, these three MUP detected 79·2 % of all UPF products. Detection rate increased to 88·4 % of all UPF if ingredient lists were analysed concerning three additional MUP, that is, fibre, dextrose and firming agent.

Almost 90 % of all UPF items can be detected by six MUP.

A dietary pattern dominated by ultra-processed foods has been associated with non-communicable diseases in several studies. A previous study from 2013 found a high share of ultra-processed foods in Norwegian food sales. This study aimed to investigate the current share of ultra-processed foods in Norway and the development in expenditure on ultra-processed foods from 2013.

A repeated cross-sectional analysis of scanner data from the Consumer Price Index from September 2013 and 2019 and an investigation of the processing degree according to the NOVA classification system.

Food sales in Norway.

Norwegian grocery stores (n 180, for both time periods).

The share of expenditure in 2019 was highest for ultra-processed foods (46·5 %) and minimally or unprocessed foods (36·3 %), followed by processed foods (8·5 %) and processed culinary ingredients (1·3 %). An increasing degree of processing was found for several of the food groups between 2013 and 2019; however, most effect sizes were weak. In 2019, soft drinks became the most frequently purchased food item, surpassing milk and cheese, with the highest expenditure in Norwegian grocery stores. Increases in expenditure on ultra-processed foods were mainly due to increased expenditures on soft drinks, sweets and potato products.

A high share of expenditure on ultra-processed food was found in Norway, which may imply a high consumption of these foods. The change in expenditure of NOVA groups between 2013 and 2019 was small. Carbonated and non-carbonated soft drinks were the most frequently purchased products in Norwegian grocery stores and contributed to most of the expenditures.

To investigate whether the combined consumption of fresh/minimally processed and ultra-processed food is associated with food insecurity (FI) during the COVID-19 pandemic.

Cross-sectional observational study was derived from a survey using a population-based search of a complex sample. FI was assessed using the validated Brazilian Food Insecurity Scale. Food consumption was assessed using a qualitative FFQ and the NOVA classification for fresh/minimally processed food and ultra-processed food. A scoring system was used to evaluate combined food consumption according to the extent and purpose of processing, considering the weekly consumption of the two groups (according to the NOVA classification). Higher punctuation reflects worse diet quality (higher consumption of ultra-processed foods and lower consumption of fresh/minimally processed foods). A theoretical causality model was constructed using a directed acyclic graph, and multivariate analysis was performed using Poisson regression to test the association between FI and food consumption.

Ouro Preto and Mariana, Brazil, between October and December 2020.

An epidemiological household survey was conducted with 1753 individuals selected through a stratified and clustered sampling design in three stages.

Those with food consumption scores in the fourth quartile had a 60 % higher prevalence ratio (PR) for FI (PR: 1·60 and 95 % CI: 1·06 - 2·40). Also, the increased consumption of fresh/minimally processed foods and low consumption of ultra-processed foods presented a 45 % lower prevalence ratio of FI (PR: 0·55 and 95 % CI: 0·40 – 0·80).

These results indicate an inverse association between FI and diet quality.

To explore the relationship between ultra-processed foods (UPF) consumption and dietary, lifestyle and social determinants using pathway analysis in the baseline of the Cohort of Universities of Minas Gerais (CUME project).

Cross-sectional study, in which path analysis was used to estimate direct and indirect effects of dietary practices, sleep, time on the computer and professional status on UPF consumption.

Data were collected in 2016, through an online questionnaire composed of sociodemographic, anthropometric, lifestyle and dietary practices questions, and a FFQ.

Baseline participants from the CUME Project (n 2826), adults who graduated from Universidade Federal de Viçosa or Universidade Federal de Minas Gerais, Brazil.

Being employed (P = 0·024), the time spent on the computer (P = 0·031) and the frequency of fried food intake (P < 0·001) were positively and directly associated with UPF consumption, whereas the sleep duration (P = 0·007) and the number of meals per d (P < 0·001) were negatively and directly associated with UPF consumption. Indirect effects were observed between being employed, mediated by the sleep duration (P = 0·032) and fried food intake (P = 0·005), whereas being a student is mediated by the time on the computer (P = 0·048).

The time spent on the computer, sleep duration and fried food consumption showed direct effects on UPF consumption. They also acted as mediators on the relationship between professional status and UPF consumption. Besides, the number of meals eaten each day also was directly associated with UPF consumption.

To determine the association between ultra-processed food (UPF) intake and all-cause mortality in a representative sample of Spanish population.

Prospective cohort design in which follow-up lasted from baseline (1991) to mortality date or 31 December 2017, whichever was first. Dietary information was collected using a validated frequency questionnaire and categorised following the NOVA classification according to the extent of food processing. The association between consumption of UPF and mortality was analysed using Cox models. Isoenergetic substitution models were constructed to compare the health effects of the NOVA groups.

Cohort from the Diet and Risk of Cardiovascular Diseases (CVD) in Spain (DRECE) study, representative of the Spanish population

Totally, 4679 subjects between 5 and 59 years old.

Average consumption of UPF was 370·8 g/d (24·4 % of energy intake). After a median follow-up of 27 years, 450 deaths occurred. Those who consumed the highest amount of UPF had higher risk of mortality. For every 10 % of the energy intake from UPF consumption, an increase of 15 % in the hazard of all-cause mortality was observed (HR 1·15; (95 % CI 1·03, 1·27); P-value = 0·012). Substitution of UPF with minimally processed foods was significantly associated with a decreased risk of mortality.

An increase in UPF consumption was associated with higher risk of all-cause mortality in a representative sample of the Spanish population. Moreover, the theoretical substitution of UPF with unprocessed or minimally processed foods leads to a decrease in mortality. These results support the need to promote diets based on unprocessed or minimally processed foods.

To evaluate the complementary food consumption according to the extent and purpose of food processing based on NOVA classification among children aged 6–24 months of Federal District, Brazil.

We performed a cross-sectional study using a 24-h recall to estimate the daily energy intake and nutrients according to NOVA classification. We conducted a linear regression to assess the association between the processed and ultra-processed foods (UPF) energy intake and the daily energy intake from saturated fat, daily energy intake from total sugars and daily intake of sodium.

Federal District, Brazil.

Five hundred and thirty-eight children aged between 6 and 24 months attended at Primary Health Care Units from March 2017 to March 2018.

On average, children aged from 6 to 12 and from 12 to 24 months consumed 2393 and 4054 kJ/d, respectively, and processed and UPF represented one-third of dietary energy intake. Group 2 (processed and UPF) was higher carbohydrate contributors, and lower protein, fibre and most micronutrient contributors, when compared with Group 1 (unprocessed, minimally processed foods and processed culinary ingredients). In addition, the higher the energy intake from processed and UPF, the higher was the daily energy intake from saturated fat, daily energy intake from total sugar and daily intake of sodium.

Children are being exposed early to processed and UPF and their share affect the diet’s nutritional quality.

To evaluate the association of dietary inflammatory index (DII®) with the occurrence of cardiovascular events, cardiometabolic risk factors and with the consumption of processed, ultra-processed, unprocessed or minimally processed foods and culinary ingredients.

This was a cross-sectional study that analysed the baseline data from 2359 cardiac patients. Data on socio-demographic, anthropometric, clinical and food consumption were collected. Energy-adjusted food intake data were used to calculate DII, and the foods were classified according to the NOVA classification. Furthermore, the patients were grouped according to the number (1, 2 or ≥ 3) of manifested cardiovascular events. The data were analysed using linear and multinomial logistic regression.

Multicentre study from Brazil.

Patients with established cardiovascular events from the Brazilian Cardioprotective Nutritional Program Trial evaluated at baseline.

Most of the patients were male (58·8 %), older adults (64·2 %) and were overweight (68·8 %). Patients in the third tertile of DII (DII > 0·91) had were more likely to have 2 (OR 1·27, 95 % CI: 1·01–1·61) and ≥ 3 (OR 1·39, 95 % CI: 1·07–1·79) cardiovascular events, with poor cardiometabolic profile. They also were more likely to consume a higher percentage of processed, ultra-processed and culinary ingredients foods consumption compared with the patients in the first DII tertile (DII ≤ 0·91).

A more pro-inflammatory diet is associated with a greater chance of having 2 and ≥ 3 cardiovascular events and cardiometabolic risk factors and were more likely to consume processed, ultra-processed and culinary ingredients compared to those with a more anti-inflammatory diet.

To evaluate the association between ultra-processed food intake and all-cause mortality and CVD mortality in a nationally representative sample of US adults.

Prospective analyses of reported frequency of ultra-processed food intake in 1988–1994 and all-cause mortality and CVD mortality through 2011.

The Third National Health and Nutrition Examination Survey (NHANES III, 1988–1994).

Adults aged ≥20 years (n 11898).

Over a median follow-up of 19 years, individuals in the highest quartile of frequency of ultra-processed food intake (e.g. sugar-sweetened or artificially sweetened beverages, sweetened milk, sausage or other reconstructed meats, sweetened cereals, confectionery, desserts) had a 31% higher risk of all-cause mortality, after adjusting for demographic and socio-economic confounders and health behaviours (adjusted hazard ratio=1·31; 95% CI 1·09, 1·58; P-trend = 0·001). No association with CVD mortality was observed (P-trend=0·86).

Higher frequency of ultra-processed food intake was associated with higher risk of all-cause mortality in a representative sample of US adults. More longitudinal studies with dietary data reflecting the modern food supply are needed to confirm our results.