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ABSTRACT OBJECTIVE To study the association between ultra-processed food consumption and carbon and water footprints of the Brazilian diet. METHODS Cross-sectional analysis on data collected in 2008–2009 on a probabilistic sample of the Brazilian population aged ≥ 10 years (n = 32,886). Individual food intake was assessed using two 24-hour food records, on non-consecutive days. The environmental impact of individual diets was calculated by multiplying the amount of each food by coefficients that quantify the atmospheric emissions of greenhouse gases in grams of carbon dioxide equivalent (carbon footprint) and freshwater use in liters (water footprint), both per gram or milliliter of food. The two coefficients consider the food life cycle ‘from farm to fork.’ Crude and adjusted linear regression models and tests for linear trends assessed the association between the ultra-processed food contribution to total energy intake (quintiles) and the diet carbon and water footprints. Potential confounders included age, sex, education, income, and region. Total energy intake was assessed as a potential mediation variable. RESULTS In the crude models, the dietary contribution of ultra-processed foods was linearly associated with the carbon and water footprints of the Brazilian diet. After adjustment for potential confounders, the association remained significant only regarding the diet water footprint, which increased by 10.1% between the lowest and highest quintile of the contribution of ultra-processed foods. Additional adjustment for total energy intake eliminated this association indicating that the dietary contribution of ultra-processed foods increases the diet water footprint by increasing energy intake. CONCLUSIONS The negative impact of ultra-processed foods on the diet water footprint, shown for the first time in this study, adds to the negative impacts of these foods, already demonstrated regarding dietary nutrient profiles and the risk for several chronic non-communicable diseases. This reinforces the recommendation to avoid ultra-processed foods made in the official Brazilian Dietary Guidelines and increasingly in dietary guidelines of other countries.

Cross-sectional nutritional survey data collected in eight countries were used to estimate saturated fatty acid intakes. Our objective was to estimate the proportion of excessive saturated fatty acid intakes (>10 % of total energy intake) that could be avoided if ultra-processed food consumption was reduced to levels observed in the first quintile of each country. Secondary analysis was performed of 24 h dietary recall or food diary/record data collected by the most recently available nationally representative cross-sectional surveys carried out in Brazil (2008–9), Chile (2010), Colombia (2005), Mexico (2012), Australia (2011–12), the UK (2008–16), Canada (2015) and the US (2015–16). Population attributable fractions estimated the impact of reducing ultra-processed food consumption on excessive saturated fatty acid intakes (above 10 % of total energy intake) in each country. Significant relative reductions in the percentage of excessive saturated fatty acid intakes would be observed in all countries if ultra-processed food consumption was reduced to levels observed in the first quintile's consumption. The reductions in excessive intakes ranged from 10⋅0 % (95 % CI 6⋅2–13⋅6 %) in Canada to 35⋅0 % (95 % CI 28⋅7–48⋅0 %) in Mexico. In all eight studied countries, all presenting more than 30 % of intakes with excessive saturated fatty acids, lowering the dietary contribution of ultra-processed foods to attainable, context-specific levels was shown to be a potentially effective way to reduce the percentage of intakes with excessive saturated fatty acids, which may play an important role in the prevention of non-communicable diseases, particularly cardiovascular diseases.

ABSTRACT OBJECTIVE To describe the magnitude of consumption of ultra-processed foods in the adult population (≥ 18 years old) in the capitals of the 27 federative units of Brazil, as well as its association with sociodemographic variables. METHODS Data used in this study stem from participants (n = 52,443) of the 2019 wave of the annual survey of the “National surveillance system for risk and protective factors for chronic diseases by telephone survey” (Vigitel). The consumption of ultra-processed foods was described based on a score, corresponding to the sum of positive responses to questions about consumption on the previous day of thirteen subgroups of ultra-processed foods frequently consumed in Brazil. Poisson regression models were used to describe the crude and adjusted associations between high consumption of ultra-processed foods (scores ≥ 5) and sex, age group, and level of education. RESULTS The frequency of high consumption of ultra-processed foods was 18.2% (95% CI 17.4–19.0). With or without adjustment for other sociodemographic variables, this frequency was significantly lower in females and decreased linearly with age. In the crude analysis, there was an increase in the frequency of high consumption from the lower level to the intermediate level of education and a decrease in this consumption from the intermediate level to the upper level. In the analysis adjusted for sex and age, the frequency of high consumption of ultra-processed foods was significantly lower at the higher level of education (12 or more years of study), with no differences between the other levels. CONCLUSION Ultra-processed foods are consumed with high frequency in the adult Brazilian population in the 27 capitals of the federation. Being male, younger and having less education than university are conditions that increase, independently, the consumption of these foods.