The environmental impact of beef and ultra-processed food consumption in Brazil.

OBJECTIVE: This study evaluated the independent and combined environmental impacts of the consumption of beef and ultra-processed foods in Brazil. DESIGN: Cross-sectional study. SETTING: Brazil. PARTICIPANTS: We used food purchases data from a national household budget survey conducted between July 2017 and July 2018, representing all Brazilian households. Food purchases were converted into energy, carbon footprints and water footprints. Multiple linear regression models were used to assess the association between quintiles of beef and ultra-processed foods in total energy purchases and the environmental footprints, controlling for sociodemographic variables. RESULTS: Both beef and ultra-processed foods had a significant linear association with carbon and water footprints (P < 0·01) in crude and adjusted models. In the crude upper quintile of beef purchases, carbon and water footprints were 47·7 % and 30·8 % higher, respectively, compared to the lower quintile. The upper quintile of ultra-processed food purchases showed carbon and water footprints 14·4 % and 22·8 % higher, respectively, than the lower quintile. The greatest reduction in environmental footprints would occur when both beef and ultra-processed food purchases are decreased, resulting in a 21·1 % reduction in carbon footprint and a 20·0 % reduction in water footprint. CONCLUSIONS: Although the environmental footprints associated with beef consumption are higher, dietary patterns with lower consumption of beef and ultra-processed foods combined showed the greatest reduction in carbon and water footprints in Brazil. The high consumption of beef and ultra-processed foods is harmful to human health, as well as to the environment; thus, their reduction is beneficial to both.

A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation.

OBJECTIVE: This paper describes the first web-based self-completed 24-h recall designed to categorise food intake according to Nova groups - Nova24h - and its agreement with a reference tool in estimating the dietary relative contribution of the four Nova food groups (% of total energy intake). DESIGN: Comparisons of estimates of dietary relative contributions of Nova groups obtained by Nova24h and one standard interviewer-led 24-h recall. SETTING: Nationwide adult cohort study in Brazil. PARTICIPANTS: The subjects were 186 participants of the NutriNet Brasil Cohort Study (n 186). RESULTS: No statistically significant differences were observed between the Nova24h and the reference tool mean contributions of unprocessed or minimally processed foods (52·3 % v. 52·6 %), processed culinary ingredients (11·6 % v. 11·9 %), processed foods (17·1 % v. 14·7 %) and ultra-processed foods (19·0 % v. 20·9 %). Intraclass correlation coefficients between individual estimates obtained for each Nova group showed moderate to good agreement (0·54-0·78). Substantial or almost perfect agreement between the tools was seen regarding the ability to rank participants according to quintiles of contribution of each Nova group (PABAK 0·69-0·81). CONCLUSIONS: Nova24h is a suitable tool for estimating the dietary relative energy contribution of Nova food groups in the NutriNet Brasil cohort. New studies are necessary to verify its adequacy in other populations.

Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study.

OBJECTIVE: To assess the prospective association of two diet quality scores based on the Nova food classification with BMI gain. DESIGN: The NutriNet-Brasil cohort is an ongoing web-based prospective study with continuous recruitment of participants aged ≥ 18 years since January 2020. A short 24-h dietary recall screener including 'yes/no' questions about the consumption of whole plant foods (WPF) and ultra-processed foods (UPF) was completed by participants at baseline. The Nova-WPF and the Nova-UPF scores were computed by adding up positive responses regarding the consumption of thirty-three varieties of WPF and twenty-three varieties of UPF, respectively. Participants reported their height at baseline and their weight at both baseline and after approximately 15 months of follow-up. A 15-month BMI (kg/m2) increase of ≥5 % was coded as BMI gain. SETTING: Brazil. PARTICIPANTS: 9551 participants from the NutriNet-Brasil cohort. RESULTS: Increasing quintiles of the Nova-UPF score were linearly associated with higher risk of BMI gain (relative risk Q5/Q1 = 1·34; 95 % CI 1·15, 1·56), whereas increasing quintiles of the Nova-WPF score were linearly associated with lower risk (relative risk Q5/Q1 = 0·80; 95 % CI 0·69, 0·94). We identified a moderate inverse correlation between the two scores (-0·33) and a partial mediating effect of the alternative score: 15 % for the total effect of the Nova-UPF score and 25 % for the total effect of the Nova-WPF score. CONCLUSIONS: The Nova-UPF and Nova-WPF scores are independently associated with mid-term BMI gain further justifying their use in diet quality monitoring systems.

Projected impact of change in the percentage of energy from each NOVA group intake on cardiovascular disease mortality in Brazil: a modelling study.

OBJECTIVE: Estimate reductions in cardiovascular mortality achievable through improvement in nutrient intakes according to processing level (NOVA classification), that is, reducing consumption of culinary ingredients (G2), processed (G3) and ultra-processed foods (G4) while encouraging consumption of unprocessed and minimally processed foods (G1). DESIGN: Modelling study. SETTING: General adult population of Brazil. PARTICIPANTS: Men and women aged 25 or more years (34 003) investigated in the Household Budget Survey 2017-2018, in the consumption data module. MAIN OUTCOME MEASURES: We used the IMPACT Food Policy Model to estimate the reduction in deaths from cardiovascular diseases (CVD) up to 2048 in five scenarios with reductions in saturated fat, trans fat, salt and added sugar intakes resulting from changes in NOVA groups. (1) The optimistic scenario modelised an increase in the energy intake provided by G1 and a reduction in the energy intake from G2, G3 and G4, return to previous levels. (2) The minimal scenario modelised a 3.7% increase in the energy intake from G1, and a reduction in the energy intake from G4 to the 2008-2009 level. (3) The modest scenario only modelised a 25.0% reduction of the energy intake from G2 and G3. (4) The intermediary scenario modelised the minimal scenario plus a 25.0% reduction in the energy intake from G2. (5) Finally, the advanced scenario modelised the minimal scenario plus a 25.0% reduction in the energy intake from G2 and G3. RESULTS: Proposed changes in the optimistic scenario could prevent or delay 52.8% CVD-related deaths by 2048. Changes modelled in the minimal, modest, intermediary and advanced scenarios may result in a 10.1%, 28.4%, 31.4% and 38.6% reduction in 2048 CVD mortality, respectively. CONCLUSIONS: Substantial health gains can be achieved by improving the diet, through plausible modifications aimed at the level of processing as a tool for Brazilian food policies.

Consumption of ultra-processed foods and the eating location: can they be associated?

Studies indicate that eating locations can influence food choices. However, the relationship with ultra-processed foods has been little explored. The objective was to assess the association between eating locations and ultra-processed foods consumption in the UK in 2014-2016. Data from 2,449 individuals aged 4 years or older from the NDNS were analysed cross-sectionally. Food consumption information was collected through 4-day food diaries. Recorded foods were classified into NOVA system. The eating locations were grouped into nine categories (home, institutional places, sit-down restaurants, on the go, coffee shops, leisure and sports clubs, fast food, friends and relatives' house, and other places). Linear regression models were carried out. The coefficients represent the increment in the contribution of ultra-processed foods to total energy intake for each percentage point increase in the contribution of each eating location to total energy intake. Among children, consumption at home was inversely associated with ultra-processed foods consumption (ß: -0.10; 95% CI -0.17, -0.03), while in leisure and sports places (0.47; 0.20, 0.73) directly associated. For adolescents, eating at home (-0.12; -0.19, -0.05) was inversely associated with the consumption of ultra-processed foods, as well as sit-down restaurants (-0.21; -0.38, -0.03). Fast food (0.29; 0.12, 0.47) were directly associated with the consumption of ultra-processed foods for adolescents. Finally, for adults, sit-down restaurants (-0.13; -0.22, -0.03) showed to be inversely associated with the consumption of ultra-processed foods while in fast food restaurants (0.77; 0.38, 1.17) it was directly associated. Our results showed that the eating locations have different impacts on diet quality.

Ultraprocessed food consumption and dietary nutrient profiles associated with obesity: A multicountry study of children and adolescents.

This study assessed associations between ultraprocessed food consumption and dietary nutrient profile linked to obesity in children and adolescents in Argentina, Australia, Brazil, Chile, Colombia, Mexico, the United Kingdom, and the United States using nationally representative data collected between 2004 and 2014. Linear regression models were used to evaluate associations between dietary share of ultraprocessed foods (country and age group-specific quintiles and a 10% share increase) and the energy density of diets and their content of free sugars and fiber. Ultraprocessed foods, defined by the NOVA system, ranged from 18% of total energy intake among preschool children in Colombia to 68% among adolescents in the United Kingdom. In almost all countries and age groups, increases in the dietary share of ultraprocessed foods were associated with increases in energy density and free sugars and decreases in fiber, suggesting that ultraprocessed food consumption is a potential determinant of obesity in children and adolescents. Effective global policy action to address growing ultraprocessed food consumption and childhood obesity is urgently needed.

Greenhouse gas emissions, water footprint, and ecological footprint of food purchases according to their degree of processing in Brazilian metropolitan areas: a time-series study from 1987 to 2018.

BACKGROUND: The consumption of ultra-processed foods has increased worldwide and has been related to the occurrence of obesity and other non-communicable diseases. However, little is known about the environmental effects of ultra-processed foods. We aimed to assess the temporal trends in greenhouse gas emissions (GHGE), water footprint, and ecological footprint of food purchases in Brazilian metropolitan areas, and how these are affected by the amount of food processing. METHODS: In this time-series study, we used data from five Brazilian Household Budget Surveys (1987-88, 1995-96, 2002-03, 2008-09, 2017-18) to calculate GHGE, water footprint, and ecological footprint per 1000 kcal of food and beverages purchased. Food items were classified into NOVA food groups: unprocessed or minimally processed foods (G1); processed culinary ingredients (G2); processed foods (G3); and ultra-processed foods (G4). We calculated the proportion each NOVA food group contributes to daily kcal per person. Linear regression was performed to evaluate trends of the environmental impacts across the years. FINDINGS: Between 1987-88 and 2017-18, diet-related GHGE increased by 21% (from 1538·6 g CO2 equivalent [CO2e] per 1000 kcal [95% CI 1473·3-1604·0] to 1866·0 g CO2e per 1000 kcal [1788·0-1944·0]; ptrend<0·0001), diet-related water footprint increased by 22% (from 1447·2 L/1000 kcal [95% CI 1400·7-1493·8] to 1769·1 L/1000 kcal [1714·5-1823·7]; ptrend<0·0001), and diet-related ecological footprint increased by 17% (from 9·69 m2/1000 kcal [95% CI 9·33-10·05] to 11·36 m2/1000 kcal [10·91-11·81]; ptrend<0·0001). We found that the change in the environmental indicators over time varied between NOVA food groups. We did not find evidence of a change in the environmental indicators for G1 foods over time. GHGE from G2 foods decreased by 18% (ptrend<0·0001), whereas GHGE from G4 foods increased by 245% (ptrend<0·0001). The water footprint from G2 foods decreased by 17% (ptrend<0·0001) whereas the water footprint from G4 foods increased by 233% (ptrend<0·0001). The ecological footprint from G2 foods decreased by 13% (ptrend<0·0001), whereas the ecological footprint from G3 foods increased by 49% (ptrend<0·0001) and from G4 foods increased by 183% (ptrend<0·0001). We found no significant change in contribution by any other NOVA food groups to any of the three environmental indicators over the study period. INTERPRETATION: The environmental effects of the Brazilian diet have increased over the past three decades along with increased effects from ultra-processed foods. This means that dietary patterns in Brazil are becoming potentially more harmful to human and planetary health. Therefore, a shift in the current trend would be needed to enhance sustainable healthy food systems. FUNDING: Science and Technologies Facilities Council-Global Challenges Research Fund.

Ultra-processed food consumption and risk of obesity: a prospective cohort study of UK Biobank.

OBJECTIVE: The objective of this study was to examine the associations between ultra-processed food consumption and risk of obesity among UK adults. METHODS: Participants aged 40-69 years at recruitment in the UK Biobank (2006-2019) with dietary intakes collected using 24-h recall and repeated measures of adiposity--body mass index (BMI), waist circumference (WC) and percentage of body fat (% BF)--were included (N = 22,659; median follow-up: 5 years). Ultra-processed foods were identified using the NOVA classification and their consumption was expressed as a percentage of total energy intake. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HR) of several indicators of obesity according to ultra-processed food consumption. Models were adjusted for sociodemographic and lifestyle characteristics. RESULTS: 947 incident cases of overall obesity (BMI ≥ 30 kg/m2) and 1900 incident cases of abdominal obesity (men: WC ≥ 102 cm, women: WC ≥ 88 cm) were identified during follow-up. Participants in the highest quartile of ultra-processed food consumption had significantly higher risk of developing overall obesity (HR 1.79; 95% CI 1.06─3.03) and abdominal obesity (HR 1.30; 95% CI 1.14─1.48). They had higher risk of experiencing a ≥ 5% increase in BMI (HR 1.31; 95% CI 1.20─1.43), WC (HR 1.35; 95% CI 1.25─1.45) and %BF (HR 1.14; 95% CI 1.03─1.25), than those in the lowest quartile of consumption. CONCLUSIONS: Our findings provide evidence that higher consumption of ultra-processed food is strongly associated with a higher risk of multiple indicators of obesity in the UK adult population. Policy makers should consider actions that promote consumption of fresh or minimally processed foods and reduce consumption of ultra-processed foods.

Ultra-processed food consumption and obesity in the Australian adult population.

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/m2; 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.

Association between dietary contribution of ultra-processed foods and urinary concentrations of phthalates and bisphenol in a nationally representative sample of the US population aged 6 years and older.

Ultra-processed food consumption has been associated with several health outcomes such as obesity, hypertension, cardiovascular disease and cancer. The deleterious nutrient profile of these products, and the presence of food additives, neoformed contaminants and contact materials such as phthalates and bisphenol may be some of the potential pathways through which ultra-processed food influences disease outcomes. The aim of this study was to examine the association between dietary contribution of ultra-processed foods and urinary biomarker concentrations of parent compounds or their metabolites including Di(2-ethylhexyl) phthalate (ΣDEHP), Di-isononyl phthalate (ΣDiNP), Monocarboxynonyl phthalate (mCNP), Mono (3-carboxypropyl) phthalate (mCPP), Monobenzyl phthalate (mBzP), Bisphenol A (BPA), Bisphenol F (BPF) and Bisphenol S (BPS), in the US. Participants from the cross-sectional 2009-2016 National Health and Nutrition Examination Survey, aged 6+ years, with urinary measures and with one 24-hour dietary recall were included in the study. Ultra-processed foods were identified based on the NOVA classification system, a four-group food classification based on the extent and purpose of industrial food processing. Linear regression was used to compare average urinary creatinine-standardized concentrations across quintiles of energy contribution of ultra-processed foods. Models incorporated survey sample weights and were adjusted for different sociodemographic and life-style variables. Adjusted geometric means of ΣDiNP, mCNP, mCPP, mBzP and BPF increased monotonically from the lowest to the highest quintile of ultra-processed food consumption. As both phthalates/bisphenol and ultra-processed foods have been previously associated with insulin resistance, diabetes, general/abdominal obesity and hypertension, our results suggest the possibility of contact materials in ultra-processed foods as one link between ultra-processed food and these health outcomes. Future studies could confirm findings and further explore these mechanisms of action.

Association between ultra-processed food consumption and the nutrient profile of the Colombian diet in 2005.

OBJECTIVE: To evaluate the consumption of ultra-processed food and drink products and its association with the nutrient profile of the Colombian diet in 2005. MATERIALS AND METHODS: Food consumption based on 24-hour dietary records from 38 643 men and women was classified into four NOVA groups according to the extent and purpose of food processing. RESULTS: Ultra-processed food and drink products represented 15.9% of the total energy daily intake, compared to 63.3% from minimally processed food, 15.8% from processed culinary ingredients, and 4.9% from processed food. Non-ultra-processed food items had a healthier nutritional profile compared to ultra-processed items in terms of contribution to total calories from protein, carbohydrates, total fat, saturated fat, free sugar, fiber and energy density. CONCLUSIONS: Ultra-processed food products have a less healthy nutrient profile than non-ultra-processed ones. An increase in the consumption of these foods must be prevented within Colombia.

OBJETIVO: Evaluar el consumo de alimentos y bebidas ultraprocesadas y su asociación con el perfil nutricional dentro de la Encuesta Nacional de Nutrición de 2005 en Colombia. MATERIAL Y MÉTODOS: El consumo de alimentos basados en registros alimentarios de 24 horas de 38 643 individuos se clasificó en cuatro grupos de NOVA. RESULTADOS: Los productos de alimentos y bebidas ultraprocesados representaron 15.9% de la ingesta diaria total de energía, en comparación con 63.3% de los alimentos mínimamente procesados, 15.8% de los ingredientes culinarios procesados y 4.9% de los procesados. Los alimentos mínimamente procesados tenían un perfil nutricional más saludable en comparación con los artículos ultraprocesados en términos de contribución a las calorías totales, de proteínas, carbohidratos, grasa total, grasa saturada, azúcar libre, densidad de fibra y densidad de energía. CONCLUSIONES: Los alimentos ultraprocesados tienen un perfil nutricional menos saludable que los alimentos no procesados.

Ultra-Processed Food Consumption and Chronic Non-Communicable Diseases-Related Dietary Nutrient Profile in the UK (2008⁻2014).

We described the contribution of ultra-processed foods in the U.K. diet and its association with the overall dietary content of nutrients known to affect the risk of chronic non-communicable diseases (NCDs). Cross-sectional data from the U.K. National Diet and Nutrition Survey (2008⁻2014) were analysed. Food items collected using a four-day food diary were classified according to the NOVA system. The average energy intake was 1764 kcal/day, with 30.1% of calories coming from unprocessed or minimally processed foods, 4.2% from culinary ingredients, 8.8% from processed foods, and 56.8% from ultra-processed foods. As the ultra-processed food consumption increased, the dietary content of carbohydrates, free sugars, total fats, saturated fats, and sodium increased significantly while the content of protein, fibre, and potassium decreased. Increased ultra-processed food consumption had a remarkable effect on average content of free sugars, which increased from 9.9% to 15.4% of total energy from the first to the last quintile. The prevalence of people exceeding the upper limits recommended for free sugars and sodium increased by 85% and 55%, respectively, from the lowest to the highest ultra-processed food quintile. Decreasing the dietary share of ultra-processed foods may substantially improve the nutritional quality of diets and contribute to the prevention of diet-related NCDs.

Out-of-Home Food Consumers in Brazil: What do They Eat?

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.

Ultra-processed foods and added sugars in the Chilean diet (2010).

OBJECTIVE: To assess the consumption of ultra-processed foods and analyse its association with the content of added sugars in the Chilean diet. DESIGN: Cross-sectional study of national dietary data obtained through 24 h recalls and classified into food groups according to the extent and purpose of food processing (NOVA classification). SETTING: Chile. SUBJECTS: A probabilistic sample of 4920 individuals (aged 2 years or above) studied in 2010 by a national dietary survey (Encuesta Nacional de Consumo Alimentario). RESULTS: Ultra-processed foods represented 28·6 (se 0·5) % of total energy intake and 58·6 (se 0·9) % of added sugars intake. The mean percentage of energy from added sugars increased from 7·7 (se 0·3) to 19·7 (se 0·5) % across quintiles of the dietary share of ultra-processed foods. After adjusting for several potential sociodemographic confounders, a 5 percentage point increase in the dietary share of ultra-processed foods determined a 1 percentage point increase in the dietary content of added sugars. Individuals in the highest quintile were three times more likely (OR=2·9; 95 % CI 2·4, 3·4) to exceed the 10 % upper limit for added sugars recommended by the WHO compared with those in the lowest quintile, after adjusting for sociodemographic variables. This association was strongest among individuals aged 2-19 years (OR=3·9; 95 % CI 2·7, 5·9). CONCLUSIONS: In Chile, ultra-processed foods are important contributors to total energy intake and to the consumption of added sugars. Actions aimed at limiting consumption of ultra-processed foods are being implemented as effective ways to achieve WHO dietary recommendations to limit added sugars and processed foods, especially for children and adolescents.

Healthy eating index measures diet quality of Brazilian children of low socioeconomic status.

OBJECTIVE: This study aimed to assess the adaptation of the Healthy Eating Index (HEI) to Brazilian dietary recommendations for children aged 3 to 4 years (n = 345) and 7 to 8 years (n = 307). METHODS: Dietary data were collected using two 24-hour recalls and diet quality was evaluated according to the adapted HEI. RESULTS: The mean HEI score was 65.7 ± 11.2 at 3 to 4 years and 65.0 ± 8.8 at 7 to 8 years. The HEI correlated positively with dietary variety and food groups (grains, vegetables, fruits, and meat/beans), except for milk at 3 to 4 years, and negatively with sodium, total fat, and saturated fat intake. HEI score was moderately to strongly associated with dietary fiber and several micronutrients. CONCLUSIONS: The HEI as adapted to Brazilian dietary guidelines can be used to determine diet quality in preschool- and school-aged children in Brazil.

Risk factors for high blood pressure in low income children aged 3-4 years.

UNLABELLED: This study aimed to evaluate the effect of dietary sodium intake on blood pressure among low income children aged 3-4 years. Data were collected during a randomized trial conducted in São Leopoldo, Brazil, with 500 mother-child pairs recruited from the maternity ward of a local hospital. Breastfeeding data were obtained during the children's first year of life. At 3 to 4 years of age, children's anthropometric, dietary, and blood pressure assessments were obtained. Sodium intake was estimated from two multiple-pass 24-h dietary recalls. Systolic blood pressure > 90th percentile for age, sex, and height was classified as high systolic blood pressure, according to the population-based percentiles provided by the Task Force on Hypertension Control in Children and Adolescents. Blood pressure data were obtained from 331 children at 3 to 4 years. The mean value of systolic blood pressure was 91.31 mmHg (SD = 8.30 mmHg) and 5.2% (n = 17) presented high systolic blood pressure. The results of the multivariable analyses showed that children who consumed more than 1,200 mg of sodium/day and with waist-to-height ratio higher than 0.5 presented, respectively, 3.32 (95%CI 0.98-11.22) and 8.81 (95%CI 2.13-36.31) greater risk of having high systolic blood pressure. Exclusive breastfeeding, child overweight and change in body mass index z score during the first year of life were not associated with the outcome. CONCLUSIONS: The results of this study suggest that at preschool age sodium intake and high waist-to-height ratio are risk factors for high systolic blood pressure.