Objective: To measure change in price of food groups over time (1995–2030) in Brazil, considering the Brazilian Dietary Guidelines’ recommendations.Design: Data from the Household Budget Survey (2008–2009 HBS) and the National System of Consumer Price Indexes (NSCPI) were used to create a data set containing monthly prices for the foods and beverages most consumed in the country (n 102), from January 1995 to December 2017. Data on price of foods and beverages from 2008–2009 HBS (referring to January 2009) were used to calculate real price over time using the monthly variation in prices from NSCPI. All prices were deflated to December 2017. Foods and beverages were classified following the Brazilian Dietary Guidelines’ recommendations. The monthly price for each food group and subgroup was used to analyse changes in prices from 1995 to 2017 and to forecast prices up to 2030 using fractional polynomial models.Setting: Brazil.Participants: National estimates of foods and beverages purchased for Brazil.Results: In 1995, ultra-processed foods were the most expensive group (R$ 6·51/kg), followed by processed foods (R$ 6·44/kg), then unprocessed or minimally processed foods and culinary ingredients (R$ 3·45/kg). Since the early 2000s, the price of ultra-processed foods underwent successive reductions, becoming cheaper than processed foods and reducing the distance between it and the price of the other group. Forecasts indicate that unhealthy foods will become cheaper than healthy foods in 2026.Conclusions: Food prices in Brazil have changed unfavourably considering the Brazilian Dietary Guidelines’ recommendations. This may imply a decrease in the quality of the population’s diet.

To estimate the relationship between the price of ultra-processed foods and prevalence of obesity in Brazil and examine whether the relationship differed according to socioeconomic status. Data from the national Household Budget Survey from 2008/09 (n = 55 570 households, divided in 550 strata) were used. Weight and height of all individuals were used. Weight was measured by using portable electronic scales (maximum capacity of 150 kg). Height (or length) was measured using portable stadiometers (maximum capacity: 200 cm long) or infant anthropometers (maximum capacity: 105 cm long). Multivariate regression models (log-log) were used to estimate price elasticity. An inverse association was found between the price of ultra-processed foods (per kg) and the prevalence of overweight (Body mass index (BMI) ≥25 kg/m²) and obesity (BMI ≥30 kg/m²) in Brazil. The price elasticity for ultra-processed foods was -0.33 (95% CI: -0.46; -0.20) for overweight and -0.59 (95% CI: -0.83; -0.36) for obesity. This indicated that a 1.00% increase in the price of ultra-processed foods would lead to a decrease in the prevalence of overweight and obesity of 0.33% and 0.59%, respectively. For the lower income group, the price elasticity for price of ultra-processed foods was -0.34 (95% CI: -0.50; -0.18) for overweight and -0.63 (95% CI: -0.91; -0.36) for obesity. The price of ultra-processed foods was inversely associated with the prevalence of overweight and obesity in Brazil, mainly in the lowest socioeconomic status population. Therefore, the taxation of ultra-processed foods emerges as a prominent tool in the control of obesity.

Estudo com objetivo de descrever o preço dos grupos de alimentos consumidos no Brasil considerando a natureza, a extensão e o propósito de seu processamento. Dados provenientes da Pesquisa de Orçamentos Familiares de 2008-2009 foram utilizados. O preço médio dos grupos (in natura, ingredientes culinários, processados e ultraprocessados) e seus respectivos subgrupos de alimentos foram estimados para o Brasil segundo renda, região e área. Os produtos in natura e ingredientes culinários apresentaram menor preço por caloria quando comparado aos demais grupos, sugerindo uma vantagem econômica no preparo de refeições no lar em comparação a sua substituição por ultraprocessados. As famílias de maior nível econômico pagaram preço mais elevado por suas aquisições, enquanto as regiões Nordeste, Norte e a área rural pagaram os menores preços. Enquanto alimentos frescos (como carnes, leite, frutas e hortaliças) tendem a custar mais caro que alimentos ultraprocessados, grãos secos (como o arroz e o feijão) despontam como uma alternativa mais econômica para adoção de práticas alimentares saudáveis.

RESUMO: Introdução: Padrões inadequados de alimentação na infância e na adolescência são um dos principais fatores de risco para o aparecimento precoce da obesidade e de outras doenças crônicas. Objetivos: Identificar e analisar os padrões alimentares entre os adolescentes brasileiros. Métodos: Foram utilizados dados da Pesquisa Nacional de Saúde do Escolar de 2015 (n = 10.926 adolescentes). A identificação e a análise dos padrões alimentares foram realizadas por meio da análise de componentes principais e pela regressão linear, respectivamente. Resultados: Dois padrões foram identificados: o primeiro, caracterizado por marcadores de uma alimentação não saudável; e o segundo, por marcadores de uma alimentação saudável. A adesão ao padrão não saudável esteve positivamente associada aos adolescentes do sexo feminino, que possuem mães com, ao menos, ensino fundamental completo, que residem em regiões mais desenvolvidas e em área urbana, bem como entre aqueles que possuem o hábito de não tomar café da manhã, não realizar as refeições com os pais/responsáveis, se alimentar enquanto estuda ou assiste TV e frequentar restaurantes fast-food. Discussão: Análises do consumo de grupos alimentares isolados, que não consideram a dieta em toda a sua complexidade, têm se mostrado insuficientes na explicação dos principais desfechos da área de nutrição em saúde pública. Conclusão: Os achados contribuíram para a identificação de grupos populacionais mais vulneráveis ao padrão alimentar não saudável e para a compreensão da coexistência de diferentes determinantes ao hábito alimentar entre os adolescentes.

Objective: To identify changes in traditional dietary behaviour through the evaluation of trends in bean consumption among adults in Brazil between 2007 and 2017 and to estimate its projections up to 2030.Design: Time-series analysis conducted with data from the Surveillance System for Protective and Risk Factors for Chronic Diseases by Telephone Survey (Vigitel) between 2007 and 2017. Weekly consumption of beans was analysed. Prais–Winsten regression evaluated trends for the entire period of study (2007–2017) and in two periods of analyses (2007–2011 and 2012–2017) for the complete set of the population and stratified by socio-demographic characteristics. Estimated prevalence projections were calculated up to the year 2030 using its tendency from 2012 to 2017.Setting: Brazil.Participants: A probabilistic sample of 572 675 Brazilian adults aged ≥ 18 years.Results: Changes in traditional dietary pattern were identified. Regular consumption of beans (≥ 5 d/week) presented a stable prevalence trend for the total population in the complete and the first analysed period, but a significant decrease in the second half (67·5 % to 59·5 %) among both genders, all age groups and educational levels (except for ≥12 years). The higher magnitude of regular consumption of beans will occur up to the year of 2025 for the total population (46·9 %), when it will be less frequent in the week.Conclusion: Reductions in the weekly consumption of beans may represent the weakness of a traditional food culture in a globalised food system. By 2025, regular consumption of beans will cease to be the predominant habit in the country.

Objectives. To analyze trends in cigarette smoking among Brazilian adults from 2006 to 2019.Methods. We performed a time-series analysis based on data from the Surveillance of Risk and Protective Factors for Chronic Diseases Telephone Survey (n = 730 309). We calculated the annual prevalence of current cigarette smokers, heavy smokers, and passive smokers in the workplace and investigated linear trends using Prais–Winsten regression, for the entire period and for the past 5 years. We performed the analyses for the total population and according to the sociodemographic characteristics.Results. The prevalence of cigarette smoking, heavy smoking, and passive smoking in the workplace declined, respectively, an average of 3.99% per year, 5.65% per year, and 6.55% per year from 2006 to 2019. We observed this reduction regardless of gender, age, educational level, and geographic region. The magnitude of reduction in the prevalence of current cigarette smoking decreased in the past 5 years, while the magnitude of the change in heavy smoking increased.Conclusions. The prevalence of cigarette smoking decreased in the time period studied. The smaller magnitude of reduction for current cigarette smoking in the most recent years might indicate a fatigue with the current policy scenario.