Ultra-processed food (UPF) consumption has increased drastically worldwide and already represents 50%–60% of total daily energy intake in several high-income countries. In the meantime, the prevalence of overweight and obesity has risen continuously during the last century. The objective of this study was to investigate the associations between UPF consumption and the risk of overweight and obesity, as well as change in body mass index (BMI), in a large French cohort. A total of 110,260 adult participants (≥18 years old, mean baseline age = 43.1 [SD 14.6] years; 78.2% women) from the French prospective population-based NutriNet-Santé cohort (2009–2019) were included. Dietary intakes were collected at baseline using repeated and validated 24-hour dietary records linked to a food composition database that included >3,500 different food items, each categorized according to their degree of processing by the NOVA classification. Associations between the proportion of UPF in the diet and BMI change during follow-up were assessed using linear mixed models. Associations with risk of overweight and obesity were assessed using Cox proportional hazard models. After adjusting for age, sex, educational level, marital status, physical activity, smoking status, alcohol intake, number of 24-hour dietary records, and energy intake, we observed a positive association between UPF intake and gain in BMI (β Time × UPF = 0.02 for an absolute increment of 10 in the percentage of UPF in the diet, P < 0.001). UPF intake was associated with a higher risk of overweight (n = 7,063 overweight participants; hazard ratio (HR) for an absolute increase of 10% of UPFs in the diet = 1.11, 95% CI: 1.08–1.14; P < 0.001) and obesity (n = 3,066 incident obese participants; HR_10% = 1.09 (1.05–1.13); P < 0.001). These results remained statistically significant after adjustment for the nutritional quality of the diet and energy intake. Study limitations include possible selection bias, potential residual confounding due to the observational design, and a possible item misclassification according to the level of processing. Nonetheless, robustness was tested and verified using a large panel of sensitivity analyses. In this large observational prospective study, higher consumption of UPF was associated with gain in BMI and higher risks of overweight and obesity. Public health authorities in several countries recently started to recommend privileging unprocessed/minimally processed foods and limiting UPF consumption. ClinicalTrials.gov NCT03335644 (https://clinicaltrials.gov/ct2/show/NCT03335644)

Few low-burden indicators of diet quality exist to track trends over time at low cost and with low technical expertise requirements. The aim was to develop and validate a suite of low-burden indicators to reflect adherence to global dietary recommendations. Using nationally representative, cross-sectional, quantitative dietary intake datasets from Brazil and the United States, we tested the association of food-group scores with quantitative consumption aligned with 11 global dietary recommendations. We updated the Healthy Diet Indicator (HDI) to include current quantifiable recommendations of the WHO (HDI-2020). We developed 3 food-group–based scores—an overall Global Dietary Recommendations (GDR) score as an indicator of all 11 recommendations composed of 2 subcomponents: GDR-Healthy, an indicator of the recommendations on “healthy” foods, and GDR-Limit, an indicator of the recommendations on dietary components to limit. We tested associations between these scores and the HDI-2020 and its respective subcomponents. We developed 9 dichotomous food-group–based indicators to reflect adherence to the global recommendations for fruits and vegetables, dietary fiber, free sugars, saturated fat, total fat, legumes, nuts and seeds, whole grains, and processed meats. We conducted receiver operating characteristic and sensitivity-specificity analyses to determine whether the dichotomous indicators were valid to predict adherence to the recommendations in both countries. The GDR score and its subcomponents were moderately to strongly associated with the HDI-2020 and its respective subcomponents (absolute values of rank correlation coefficients ranged from 0.55 to 0.66). Of the 9 dichotomous indicators, 8 largely met the criteria for predicting individual global dietary recommendations in both countries; 1 indicator (total fat) did not perform satisfactorily. Food-group consumption data can be used to indicate adherence to quantitative global dietary recommendations at population level. These indicators may be used to track progress of countries and populations toward meeting WHO guidance on healthy diets.

The present study aims to describe ultra-processed food (UPF) consumption in a representative sample of French adults and to evaluate the association between UPF consumption and socioeconomic characteristics and nutritional profile of the diet. This is a cross-sectional study using food consumption data from the Étude Nationale Nutrition Santé (ENNS), conducted with 2642 participants (18–74 years old), between February 2006 and March 2007 in France. Dietary data were collected through three 24-h dietary recalls. All food and beverages were classified according to the NOVA classification. The energy contribution of NOVA food groups to total energy intake was presented by categories of sociodemographic characteristics. Linear and logistic regression models were used to estimate the association between the percentage of UPF in the diet with nutritional indicators. The mean daily energy consumption of the adult French population was 2111 kcal, of which 31.1% came from UPF. This percentage was higher among younger individuals, and in the urban area, and lower among individuals with incomplete high school and individuals who were retired. The consumption of UPF was positively associated with the dietary energy density and the dietary contents of total carbohydrates, free sugar, and total and saturated fat, as well as with inadequate dietary energy density, saturated fat, free sugar, and fiber intakes.

OBJETIVO Avaliar a tendência da aquisição domiciliar de alimentos de acordo com a classificação NOVA no Brasil entre 1987–1988 e 2017–2018. MÉTODOS Foram utilizados dados de aquisição domiciliar de alimentos provenientes de cinco edições da Pesquisas de Orçamentos Familiares, realizada pelo Instituto Brasileiro de Geografia e Estatística, nos anos 1987–1988, 1995–1996, 2002–2003, 2008–2009 e 2017–2018. Todos os alimentos reportados foram categorizados segundo a classificação NOVA. A disponibilidade domiciliar dos grupos e subgrupos de alimentos foi expressa por meio de sua participação (%) nas calorias totais, para o conjunto das famílias brasileiras, por situação do domicílio (urbana ou rural), para cada uma das cinco regiões geográficas do país, por quintos da distribuição de renda domiciliar per capita (inquéritos de 2002–2003, 2008–2009 e 2017–2018); e para as 11 principais regiões urbanas do país (inquéritos de 1987–1988, 1995–1996, 2002–2003, 2008–2009 e 2017–2018). Modelos de regressão linear foram utilizados para avaliar a tendência de aumento ou diminuição na aquisição dos alimentos. RESULTADOS A dieta da população brasileira ainda é composta predominantemente por alimentos in natura e minimamente processados e ingredientes culinários processados. No entanto, nossos achados apontam tendências de aumento da participação de alimentos ultraprocessados na dieta. Esse aumento que foi de 0,4 pontos percentuais ao ano na primeira porção do período estudado, entre 2002 e 2009, e desacelerou para 0,2 pontos percentuais entre 2008 e 2018. O consumo de alimentos ultraprocessados foi maior entres os domicílios de maior renda, nas regiões Sul e Sudeste, na área urbana, e nas regiões metropolitanas. CONCLUSÃO Os resultados do presente estudo apontam um aumento na participação de alimentos ultraprocessados na dieta dos brasileiros. Cenário preocupante, uma vez que o consumo de tais alimentos está associado ao desenvolvimento de doenças e à perda da qualidade nutricional da dieta.

Objective: To describe out-of-home consumption according to the purpose and extent of industrial processing and also evaluate the association between eating out and ultra-processed food consumption, taking account of variance within and between individuals.Design: Cross-sectional study.Setting: Brazil.Participants: The study was based on the Individual Food Intake of the Brazilian Household Budget Survey, carried out with 34 003 individuals aged 10 years or more, between May 2008 and May 2009. All food items were classified according to food processing level. The habit of eating out was evaluated through the frequency of days each individual reported eating out, described according to sociodemographic characteristics. The contribution of food energy per group and subgroup was estimated according to the frequency of eating out. In addition, multilevel modelling was employed to evaluate the association between eating out and ultra-processed food consumption.Results: In Brazil, culinary preparations accounted for most of the energy eaten out. However, it was possible to observe a higher contribution of ultra-processed foods, especially sugary beverages and ready-to-eat meals, as the frequency of out-of-home consumption increased. Compared with food consumption exclusively at home, eating out increased the consumption of ultra-processed foods by 0·41 percentage points within and between individuals.Conclusion: In Brazil, the same individual and different individuals had greater consumption of ultra-processed foods when they ate out of home compared with when they ate at home. So, it is necessary to implement public policies which discourage the out-of-home consumption of ultra-processed foods and that provide affordable and accessible less-processed food options.

Considering the increased contribution of foods consumed outside home and their potential impact on diet, this study aims to identify eating out patterns and their association with nutritional dietary quality in Brazil. We used the Individual Food Intake Survey 2008–2009, conducted with 34,003 individuals aged 10 and up. We used factor analysis by principal component to identify out-of-home eating patterns and linear regression to explore the association between patterns scores and dietary quality. We identified three food patterns. The “Traditional meal” pattern carried more rice, beans, meat, roots and tubers, pasta, vegetables and eggs. The “typical Brazilian breakfast/tea” pattern carried more fresh bread, margarine, milk, cheese and butter. The “Ultra-processed food” pattern carried more ready-to-eat meals and soft drinks. The “traditional meal” pattern was positively associated with calories from proteins, fiber, iron, potassium and sodium densities, whereas “typical Brazilian breakfast/tea” and “ultra-processed food” patterns were positively associated with energy density, the percentage of calories from lipids or carbohydrates, trans fat and free sugar. Out-of-home eating may have a negative impact on nutritional dietary quality when based on ultra-processed food. However, it is possible to maintain a healthy out-of-home diet with adherence to traditional Brazilian cuisine.