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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.

Introduction: Consumption of ultraprocessed foods has been linked with higher intake of added sugars, sodium, and unhealthful fats, but the associations of ultraprocessed foods with overall diet quality and major food groups are not well known., Methods: Data were derived from the National Health and Nutrition Examination Survey (2015-2018), including 9,758 adults (aged ≥20 years) and 5,280 children (aged 2-19 years) with 24-hour dietary recalls (≥1), with analysis performed in 2020. Ultraprocessed foods were identified using the NOVA classification, with intake (% energy) assessed in quintiles. Diet quality was assessed using the validated American Heart Association 2020 continuous primary and secondary diet scores and Healthy Eating Index 2015. Poor diet was defined as <40% adherence to the American Heart Association secondary score. Generalized linear regressions estimated relationships between ultraprocessed food intake and diet quality., Results: Compared with the lowest quintile of ultraprocessed food consumption (<39.1% energy), the American Heart Association primary score in adults was progressively lower in Quintile 2 (-1.99, 95% CI= -2.73, -1.25), Quintile 3 (-3.60, 95% CI= -4.47, -2.72), Quintile 4 (-5.29, 95% CI= -6.28, -4.30), and Quintile 5 (-7.24, 95% CI= -8.13, -6.36; >70.7% energy). Corresponding values in children were -2.05 (95% CI= -3.01, -1.09), -2.97 (95% CI= -4.16, -1.79), -3.82 (95% CI= -5.20, -2.44), and -6.22 (95% CI= -7.20, -5.25; >79.0% energy). The estimated proportion of children having poor diet progressively increased from 31.3% (95% CI=26.2%, 36.5%) in Quintile 1 up to 71.6% (95% CI=68.1%, 75.1%) in Quintile 5. Corresponding proportions of adults having poor diet increased from 18.1% (95% CI=14.3%, 22.0%) in Quintile 1 up to 59.7% (95% CI=55.3%, 64.1%) in Quintile 5. Findings were similar using the American Heart Association secondary score and Healthy Eating Index 2015 score., Conclusions: Higher ultraprocessed food consumption is associated with substantially lower diet quality among children and adults., (Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Rapid simultaneous increases in ultra-processed food sales and obesity prevalence have been observed worldwide, including in Australia. Consumption of ultra-processed foods by the Australian population was previously shown to be systematically associated with increased risk of intakes of nutrients outside levels recommended for the prevention of obesity. This study aims to explore the association between ultra-processed food consumption and obesity among the Australian adult population and stratifying by age group, sex and physical activity level., Methods: A cross-sectional analysis of anthropometric and dietary data from 7411 Australians aged ≥20 years from the National Nutrition and Physical Activity Survey 2011-2012 was performed. Food consumption was evaluated through 24-h recall. The NOVA system was used to identify ultra-processed foods, i.e. industrial formulations manufactured from substances derived from foods and typically added of flavours, colours and other cosmetic additives, such as soft drinks, confectionery, sweet or savoury packaged snacks, microwaveable frozen meals and fast food dishes. Measured weight, height and waist circumference (WC) data were used to calculate the body mass index (BMI) and diagnosis of obesity and abdominal obesity. Regression models were used to evaluate the association of dietary share of ultra-processed foods (quintiles) and obesity indicators, adjusting for socio-demographic variables, physical activity and smoking., Results: Significant (P-trend ≤ 0.001) direct dose-response associations between the dietary share of ultra-processed foods and indicators of obesity were found after adjustment. In the multivariable regression analysis, those in the highest quintile of ultra-processed food consumption had significantly higher BMI (0.97 kg/m 2 ; 95% CI 0.42, 1.51) and WC (1.92 cm; 95% CI 0.57, 3.27) and higher odds of having obesity (OR = 1.61; 95% CI 1.27, 2.04) and abdominal obesity (OR = 1.38; 95% CI 1.10, 1.72) compared with those in the lowest quintile of consumption. Subgroup analyses showed that the trend towards positive associations for all obesity indicators remained in all age groups, sex and physical activity level., Conclusion: The findings add to the growing evidence that ultra-processed food consumption is associated with obesity and support the potential role of ultra-processed foods in contributing to obesity in Australia.

Objective: To analyze the contribution of ultra-processed foods to the intake of free sugars among different age groups in Australia., Methods: Dietary intakes of 12,153 participants from the National Nutrition and Physical Activity Survey (2011-12) aged 2+ years were evaluated. Food items collected through two 24-h recalls were classified according to the NOVA system. The contribution of each NOVA food group and their subgroups to total energy intake was determined by age group. Mean free sugar content in diet fractions made up exclusively of ultra-processed foods, or of processed foods, or of a combination of un/minimally processed foods and culinary ingredients (which includes table sugar and honey) were compared. Across quintiles of the energy contribution of ultra-processed foods, differences in the intake of free sugars, as well as in the prevalence of excessive free sugar intake (≥ 10% of total energy) were examined., Results: Ultra-processed foods had the highest energy contribution among children, adolescents and adults in Australia, with older children and adolescents the highest consumers (53.1% and 54.3% of total energy, respectively). The diet fraction restricted to ultra-processed items contained significantly more free sugars than the two other diet fractions. Among all age groups, a positive and statistically significant linear association was found between quintiles of ultra-processed food consumption and both the average intake of free sugars and the prevalence of excessive free sugar intake., Conclusion: Ultra-processed food consumption drives excessive free sugar intake among all age groups in Australia.

Objectives: 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., Methods: 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., Results: 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., Conclusion: Our findings support the role of ultra-processed foods in the obesity epidemic in Brazil., (Copyright © 2015 Elsevier Inc. All rights reserved.)