Time trends in hypertension and diabetes prevalence by body mass index categories in Brazilian adults from 2006 to 2023.

AIM: The prevalence of diabetes and hypertension according to body mass index (BMI) status in Brazilian adults has not been described yet. Herein, we aimed to identify the time trends in hypertension and diabetes, individually and combined (multimorbidity), by BMI in Brazilian adults. METHODS: In this time series cross-sectional study, we retrieved self-reported data from 806 169 adults between 2006 and 2023, using the Surveillance System of Risk and Protective Factors from Chronic Diseases by Telephone Survey (Vigitel). Weight and height were used to classify participants into normal/underweight (<25 kg/m2), pre-obesity (25 to 29.9 kg/m2), and obesity (≥ 30 kg/m2). We calculated the prevalence of medical diagnoses of hypertension and diabetes, individually and combined, by BMI categories, and by sociodemographic characteristics (sex, age group, educational attainment) for participants with obesity. We performed Prais-Winsten linear regression models to identify temporal trends. RESULTS: The prevalence of hypertension and diabetes increased between 2006 and 2023. Among adults with obesity, we observed a slight decrease in the prevalence of hypertension (from 44.5% in 2006 to 41.7% in 2023) and the prevalence of either hypertension or diabetes (47.1% to 45.5%); an increase in the prevalence of diabetes (12.8% to 15.13) and both conditions combined (10.2% to 11.2%). Participants with obesity had more than twice the prevalence of hypertension and diabetes compared with those who were normal/underweight. We observed a differential time trend by sex, age group, and educational attainment. CONCLUSION: Our findings indicate the need for differentiated approaches for interventions for hypertension and diabetes, considering variations over time by sociodemographic characteristics.

Differences in the cost and environmental impact between the current diet in Brazil and healthy and sustainable diets: a modeling study.

BACKGROUND: While healthy and sustainable diets benefit human and planetary health, their monetary cost has a direct impact on consumer food choices. This study aimed to identify the cost and environmental impact of the current Brazilian diet (CBD) and compare it with healthy and sustainable diets. METHODS: Data from the Brazilian Household Budget Survey 2017/18 and the Footprints of Foods and Culinary Preparations Consumed in Brazil database were used for a modeling study comparing the cost of healthy and sustainable diets (based on the Brazilian Dietary Guidelines (BDG) diet and the EAT-Lancet diet) versus the CBD. The DIETCOST program generated multiple food baskets for each scenario (Montecarlo simulations). Nutritional quality, cost, and environmental impact measures (carbon footprint (CF) and water footprint (WF)) were estimated for all diets and compared by ANOVA. Simple linear regressions used standardized environmental impacts measures to estimate differentials in costs and environmental impacts among diets scenarios. RESULTS: We observed significant differences in costs/1000 kcal. The BDG diet was cheaper (BRL$4.9 (95%IC:4.8;4.9) ≈ USD$1.5) than the CBD (BRL$5.6 (95%IC:5.6;5.7) ≈ USD$1.8) and the EAT-Lancet diet (BRL$6.1 (95%IC:6.0;6.1) ≈ USD$1.9). Ultra-processed foods (UPF) and red meat contributed the most to the CBD cost/1000 kcal, while fruits and vegetables made the lowest contribution to CBD. Red meat, sugary drinks, and UPF were the main contributors to the environmental impacts of the CBD. The environmental impact/1000 kcal of the CBD was nearly double (CF:3.1 kg(95%IC: 3.0;3.1); WF:2,705 L 95%IC:2,671;2,739)) the cost of the BDG diet (CF:1.4 kg (95%IC:1.4;1.4); WF:1,542 L (95%IC:1,524;1,561)) and EAT-Lancet diet (CF:1.1 kg (95%IC:1.0;1.1); WF:1,448 L (95%IC:1,428;1,469)). A one standard deviation increase in standardized CF corresponded to an increase of BRL$0.48 in the cost of the CBD, similar to standardized WF (BRL$0.56). A similar relationship between the environmental impact and the cost of the BDG (CF: BRL$0.20; WF: BRL$0.33) and EAT-Lancet (CF: BRL$0.04; WF: BRL$0.18) was found, but with a less pronounced effect. CONCLUSIONS: The BDG diet was cost-effective, while the EAT-Lancet diet was slightly pricier than the CBD. The CBD presented almost double the CF and WF compared to the BDG and EAT-Lancet diets. The lower cost in each diet was associated with lower environmental impact, particularly for the BDG and EAT-Lancet diets. Multisectoral public policies must be applied to guide individuals and societies towards healthier and more sustainable eating patterns.

Which government policies to create sustainable food systems have the potential to simultaneously address undernutrition, obesity and environmental sustainability?

INTRODUCTION: A transformation of food systems is urgently needed, given their contribution to three ongoing and interlinked global health pandemics: (1) undernutrition and food insecurity, (2) obesity and non-communicable diseases (NCDs), and (3) climate change and biodiversity loss. As policymakers make decisions that shape food systems, this study aimed to identify and prioritise policies with double- or triple-duty potential to achieve healthier and more environmentally sustainable food systems. METHODS: This study undertook a 4-step methodological approach, including (i) a compilation of international policy recommendations, (ii) an online survey, (iii) four regional workshops with international experts and (iv) a ranking for prioritisation. Policies were identified and prioritised based on their double- or triple-duty potential, synergies and trade-offs. Using participatory and transdisciplinary approaches, policies were identified to have double- or triple-duty potential if they were deemed effective in tackling two or three of the primary outcomes of interest: (1) undernutrition, (2) obesity/NCDs and (3) environmental degradation. RESULTS: The desk review identified 291 recommendations for governments, which were merged and classified into 46 initially proposed policies. Based on the results from the online survey, 61% of those policies were perceived to have double- or triple-duty potential. During the workshops, 4 potential synergies and 31 trade-offs of these policies were identified. The final list of 44 proposed policies for healthier and more environmentally sustainable food systems created was divided into two main policy domains: 'food supply chains' and 'food environments'. The outcome with the most trade-offs identified was 'undernutrition', followed by 'environmental sustainability', and 'obesity/NCDs'. Of the top five expert-ranked food supply chain policies, two were perceived to have triple-duty potential: (a) incentives for crop diversification; (b) support for start-ups, and small- and medium-sized enterprises. For food environments, three of the top five ranked policies had perceived triple-duty potential: (a) affordability of healthier and more sustainable diets; (b) subsidies for healthier and more sustainable foods; (c) restrictions on children's exposure to marketing through all media. CONCLUSION: This study identified and prioritised a comprehensive list of double- and triple-duty government policies for creating healthier and more environmentally sustainable food systems. As some proposed policies may have trade-offs across outcomes, they should be carefully contextualised, designed, implemented and monitored.

Exposure and power of TV food advertising during the COVID-19 pandemic in Brazil: a content analysis.

BACKGROUND: With the COVID-19 pandemic and the restrictions imposed to contain the spread of SARS-CoV-2, the Brazilian population has increased the time spent at home and watching television (TV). Since food advertising exposure is a key driver of food choices, this study described the content of food advertisements (ads) on Brazilian TV during the COVID-19 pandemic. METHODS: This is an exploratory study. A total of 684 h of TV programming comprised of three free-to-air channels and two pay-per-view channels was recorded from 06 a.m. to 12 a.m. for eight non-consecutive days in June 2020. A content analysis of all the food-related ads was carried out. The data collection process followed INFORMAS Protocol for TV food advertising monitoring. RESULTS: The sample was composed of 7,083 ads, 752 (10.6%) of which were food-related and 487 (6.9%) were promoting ultra-processed foods. The content analysis indicated seven thematic categories, all of them with reference to the COVID-19 pandemic: brand and product differentials (79.8%); visual and sound effects (70.2%); thematic campaigns (56.0%); digitization (22.9%); convenience (16.5%); economic benefits (11.9%); and commensality and social interaction (6.1%). Ads content varied according to the day of the week, the time of the day, the length of the ad, and the channel type. CONCLUSIONS: The thematic of food advertising on Brazilian TV during the COVID-19 pandemic is aligned with the country's health crisis context and varied during the programming.

Revolutionising food advertising monitoring: a machine learning-based method for automated classification of food videos.

OBJECTIVE: Food advertising is an important determinant of unhealthy eating. However, analysing a large number of advertisements (ads) to distinguish between food and non-food content is a challenging task. This study aims to develop a machine learning-based method to automatically identify and classify food and non-food ad videos. DESIGN: Methodological study to develop an algorithm model that prioritises both accuracy and efficiency in monitoring and classifying advertising videos. SETTING: From a collection of Brazilian television (TV) ads data, we created a database and split it into three sub-databases (i.e. training, validation and test) by extracting frames from ads. Subsequently, the training database was classified using the EfficientNet neural network. The best models and data-balancing strategies were investigated using the validation database. Finally, the test database was used to apply the best model and strategy, and results were verified with field experts. PARTICIPANTS: The study used 2124 recorded Brazilian TV programming hours from 2018 to 2020. It included 703 food ads and over 20 000 non-food ads, following the protocol developed by the INFORMAS network for monitoring food marketing on TV. RESULTS: The results showed that the EfficientNet neural network associated with the balanced batches strategy achieved an overall accuracy of 90·5 % on the test database, which represents a reduction of 99·9 % of the time spent on identifying and classifying ads. CONCLUSIONS: The method studied represents a promising approach for differentiating food and non-food-related video within monitoring food marketing, which has significant practical implications for researchers, public health policymakers, and regulatory bodies.

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.

Temporal Trend in the Coexistence of Risk Behaviors for Noncommunicable Diseases in Brazil: 2009-2019.

INTRODUCTION: Individuals can accumulate multiple risk factors for noncommunicable diseases, increasing the chance of adverse health outcomes. We aimed to analyze the temporal trend in the coexistence of risk behaviors for noncommunicable diseases and their association with sociodemographic characteristics among adults in Brazil from 2009 through 2019. METHODS: This cross-sectional study and time-series analysis was based on data collected by the Surveillance System for Risk Factors and Protection for Chronic Diseases by Telephone Survey (Vigitel) from 2009 through 2019 (N = 567,336). We used item response theory to identify the coexistence of risk behaviors (infrequent consumption of fruits and vegetables, regular consumption of sugar-sweetened beverages, smoking, abusive alcohol consumption, insufficient leisure-time physical activity). We used Poisson regression models to assess the temporal trend in the prevalence of the coexistence of noncommunicable disease-related risk behaviors and associated sociodemographic characteristics. RESULTS: Risk behaviors that most contributed to the occurrence of coexistence were smoking, consumption of sugar-sweetened beverages, and alcohol abuse. Coexistence was more frequent among men and was inversely associated with age and education level. During the study period, we found a significant decrease in coexistence (adjusted prevalence ratio decreased from 0.99 in 2012 to 0.94 in 2019; P = .001), especially before 2015 (adjusted prevalence ratio = 0.94; P = .001). CONCLUSION: We found a reduction in the frequency of the coexistence of noncommunicable disease-related risk behaviors and their association with sociodemographic characteristics. It is necessary to implement effective actions to reduce risk behaviors, especially behaviors that lead to a greater coexistence of those behaviors.

End-to-End Detection of a Landing Platform for Offshore UAVs Based on a Multimodal Early Fusion Approach.

A perception module is a vital component of a modern robotic system. Vision, radar, thermal, and LiDAR are the most common choices of sensors for environmental awareness. Relying on singular sources of information is prone to be affected by specific environmental conditions (e.g., visual cameras are affected by glary or dark environments). Thus, relying on different sensors is an essential step to introduce robustness against various environmental conditions. Hence, a perception system with sensor fusion capabilities produces the desired redundant and reliable awareness critical for real-world systems. This paper proposes a novel early fusion module that is reliable against individual cases of sensor failure when detecting an offshore maritime platform for UAV landing. The model explores the early fusion of a still unexplored combination of visual, infrared, and LiDAR modalities. The contribution is described by suggesting a simple methodology that intends to facilitate the training and inference of a lightweight state-of-the-art object detector. The early fusion based detector achieves solid detection recalls up to 99% for all cases of sensor failure and extreme weather conditions such as glary, dark, and foggy scenarios in fair real-time inference duration below 6 ms.

Consumption of carbonated soft drinks, fruits and vegetables and association with macroeconomic indicators: the analysis of students from seventy-four countries (2003-2015).

This study aimed to compare fruits and vegetables (FV), and carbonated soft drink (CSD) consumption among adolescents from seventy-four countries, according to macroeconomic indicators. This is an ecological study, developed with countries evaluated through the Global School-based Student Health Survey (2003-2014) and the National School Health Survey (PeNSE-Brazil, 2015). The percentages of students in each country who consumed CSD and FV daily and their association with the Human Development Index (HDI) and the Gross National Income per capita (GNIpc) were assessed. Scatter plots were constructed for each marker, and a multilevel model was tested to consider the effects of region in the associations. The overall prevalence of daily CSD consumption was 54·1 %. CSD consumption was positively associated with HDI and GNIpc through multilevel models, and Central and South America showed a considerable higher consumption compared with other regions. Overall, FV daily consumption was 67·9 % and 74·6 %, respectively, and no associations with macroeconomic indicators were found. The study shows concerning rates of CSD consumption among adolescents, and a trend of increased consumption with the improvement of the country's development and GNIpc. This points for the importance of public policies that regulate food and beverage industries to reduce CSD consumption and related co-morbidities among adolescents.

Global case study of digital marketing on social media by a top soda brand.

The Big Soda segment is central in modern food systems, and they invest heavily in digital marketing, but little is known about it. We aimed to analyze the digital marketing on Facebook of the soda brand with a major worldwide reach. Countries were described in terms of soda brand presence and popularity on Facebook according to countries' socio-demographic index (SDI) and the market share of soda brand (%MS). From 149 countries, 57.0% had soda brand's Facebook page among the top five in the number of followers within the beverage segment. Among them, digital marketing was described by the number of the page followers, the number of posts, and the number of interactions (likes, comments and shares) that each post received by Facebook users. Also, we analyzed the characteristics, and the use of marketing strategies on posts in a random sample of 10% (n = 1217) of all posts. We found that soda brand's popularity on Facebook was higher among countries with higher SDI and higher %MS. Also, the number of users that engaged with soda brand's posts was higher among countries with lower SDI and higher brand's %MS. The brand's posts focus on young adults, display of brand's products and glorification of its attributes. Other identified features include sport-related thematic and appeals to socialization and healthy eating. In addition, posts' characteristics differed with countries' characteristics. Soda brand digital marketing varies according to countries' characterization and maintains the brand position on the global marketing of beverages.

The concentration of power of transnationals food and beverage corporations across the entire food system chain has contributed to unfavorable outcomes in the health and diets of the population. The reasons may be due to the low-nutritional value of the foods and beverages produced by these transnationals and the wide promotion of these products through marketing strategies. These two points are important stages of modern food systems. The marketing practices of these companies influence the food choices of individuals. They are attracted by the high level of persuasion employed through different strategies, especially in the digital environment. Strategies in the digital environment are widely available and accessed by individuals in every country in the world. For this reason, we focus on understanding the digital marketing of an important soda brand with a major worldwide reach to understand its particulars. We show that this top big soda brand uses digital marketing to promote its products globally and presenting particularities aligned with the socio-demographic conditions of the countries and regarding its market share. These results show that monitoring the behavior, especially on digital media, of large food and beverage companies is essential to advance policies that regulate market practices to protect individuals from their externalities in the field of global public health.

Abusive advertising of food and drink products on Brazilian television.

In Brazil, any advertising strategies that take advantage of the child's judgment or induce consumers to make harmful health choices are considered abusive. However, the efficacy of restrictions on their use on television (TV) food advertising remains poorly understood. This study analysed the extent and nature of abusive techniques according to national regulations and patterns in their use in food-related ads. Cross-sectional studyrecorded the programming of the three most popular TV channels (6 am-12 am), during eight non-consecutive days, in April 2018. Data collection was based on the INFORMAS protocol and two national regulations. Descriptive analyses were used to describe the types of food ads and abusive techniques used in ultra-processed products (UPP) ads. Principal component analysis was applied to identify patterns of abusive marketing techniques and to relate them to specific food groups. More than 90% of food ads included at least one UPP. Overall, 10.1% of UPP ads targeted children and 57.7% used some kind of abusive technique directed to children and adolescents. Most ads contained messages inducing harmful health choices did not present adequate and clear information about the product and contained more than one type of abusive technique. Four out of five patterns in the use of abusive techniques in UPP ads were specifically directed to children, and fast-food meals were associated with three out of five patterns. The high abusiveness of food advertising in UPP ads should be considered a public health concern given their impact on children's food choices and health.

Behavioral Patterns with the Coexistence of Risk and Protective Factors for Cancer in Brazil.

About one third of the most common cancers could be prevented by the reduction of modifiable behavioral risk factors. We aimed to identify behavioral patterns of risk and protective factors for cancer in Brazil, between 2014 and 2015. Data from Vigitel Survey (n = 95,027 adults aged ≥ 18 years) from all Brazilian capitals and Federal District were used. Thirteen risk (RBF) and protective behavioral factors (PBF) for cancer were investigated. RBF included the consumption of red meat, meat with high-fat content, soft drinks, sweets and abusive alcohol, replacement of lunch/dinner for snacks, television viewing, obesity, and smoking. PBF included the consumption of beans, fruits and vegetables, and physical activity practice. Patterns were identified by principal component analysis and linear regressions models assessed its association with sociodemographic characteristics. Four behavioral patterns for cancer were identified. The 'healthy behavior pattern' and the 'unhealthy food consumption pattern' were positively associated to females and schooling. The 'unhealthy behavior pattern' and the 'mixed behavior pattern' were both negatively associated to females, age and schooling. Our data revealed different vulnerable population groups for cancer. Actions for reduction of modifiable behavioral risk factors aiming at cancer prevention should consider distinct approaches by sex, age, and schooling.

Trends in Prevalence of Cigarette Smoking in Brazil: 2006-2019.

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.

Socioeconomic inequalities in physical activity in Brazil: a pooled cross-sectional analysis from 2013 to 2019.

BACKGROUND: Information on socioeconomic inequalities in physical activity over time is sparse in low- to middle-income countries. In this study, we examined trends in physical activity educational inequalities in adults from Brazil between 2013 and 2019. METHODS: We analyzed data from seven cross-sectional studies including 359,038 adults (≥ 18 years) from the VIGITEL study conducted annually from 2013 to 2019. Participants responded to a questionnaire about physical activity (total, leisure, and commuting). Educational inequalities by sex and skin color were assessed through absolute (slope index of inequality - SII) and relative measures of inequality (concentration index - CIX). RESULTS: We found large absolute and relative inequalities for leisure-time physical activity, favoring those with higher educational attainment (SII2019 = 35.4; CIX2019 = 11.82). Active commuting was more prevalent in intermediate education groups, with a slight inequality toward the less educated group (SII2019 = -2.8; CIX2019 = -0.4). From 2013 to 2019, the absolute educational inequality in physical activity (total, leisure, and commuting) remained unchanged; however, the relative inequality gap narrowed for total physical activity (CIX: 8.4 in 2013 to 5.5 in 2019) and leisure-time physical activity (CIX: 18.3 in 2013 to 11.8 in 2019). Educational inequality increased in leisure-time physical activity among women and non-white individuals, while it reduced among men and white individuals; for active commuting, inequality decreased among women, and increased among men and white individuals. CONCLUSIONS: Inequality in total physical activity and leisure-time physical activity favors the most educated groups in Brazil. Over time, relative educational inequality decreased for total and leisure-time physical activity, while no progress was found for absolute inequality.

Reduction of traditional food consumption in Brazilian diet: trends and forecasting of bean consumption (2007-2030).

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.

Advertising patterns of a fast-food chain on social media in Brazil.

OBJECTIVE: To investigate the advertising patterns on the posts of a fast-food chain in Brazil on three social media platforms in 2019. DESIGN: An exploratory cross-sectional study. SETTING: Advertising strategies on the posts of a major fast-food chain on their official Facebook, Instagram and YouTube accounts. The strategies were investigated according to the INFORMAS protocol for food promotion monitoring. Principal component analysis (PCA) was employed to identify advertising patterns in each platform. PARTICIPANTS: 305 advertisements. RESULTS: Four advertising patterns were identified in the PCA of Facebook and Instagram. In both platforms, the components for kids and product exaltation were similar. On Facebook, a pattern corresponding to economic appeal was identified as price and discount, while on Instagram, this pattern also included a practical approach. On Facebook, the fourth component was named celebrity, while on Instagram it was celebrity/innovation since on this second social media the component also included the 'new brand development' variable. On YouTube, three advertising patterns were identified in PCA. Similar to the other platforms, the first and the second patterns were called for kids and price and discount, and the third component referred to both celebrity and commemorative dates. CONCLUSIONS: The advertising patterns of the fast-food chain on three social media platforms were commonly directed to children and addressed price, discounts and the celebrities' universe. The findings of this study corroborate other data in the literature regarding unhealthy food advertising on social media. This study discusses the urgency of regulating food advertising content on this medium.

Trends in access to female cancer screening in Brazil, 2007-16.

BACKGROUND: This study aims to analyse changes in the prevalence of cervical cancer (CCa) and breast cancer (BCa) screening among women in the Brazilian capitals and Federal District in the last decade (2007-16). METHODS: Data from the surveillance system of risk and protective factors for chronic diseases through telephone interviews (n = 267 949) were used. Adequate screening consisted of, at least, one Pap test triennially, for women aged between 25 and 64 years, and mammography exam biannually, for women aged between 50 and 69 years. The prevalence of adequate screening was investigated for each type of cancer isolated and combined (women aged between 50 and 64 years). The prevalence of adequate screening was estimated for the total population and according to socioeconomic variables. Linear regression models were used. RESULTS: The prevalence of adequate screening test for CCa remained stable, around 82%, while the screening test for BCa increased from 71 to 78% between 2007 and 2016. Higher increases were observed among women with low schooling and from less developed regions. The percentage of adequate screening (considering both types), for women aged between 25 and 69 years, remained stable, close to 78%. CONCLUSIONS: Screening for BCa increased significantly. Smaller coverage rates are verified among women with low schooling and from less developed regions.

Association between the price of ultra-processed foods and obesity in Brazil.

BACKGROUND AND AIMS: 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. METHODS AND RESULTS: 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. CONCLUSION: 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.

Malnutrition in all its forms and social inequalities in Brazil.

OBJECTIVE: To describe malnutrition (undernutrition and excess weight) by income, education and race/ethnicity in the Brazilian population. DESIGN: Cross-sectional study. SETTING: Brazil. PARTICIPANTS: Children aged <5 years (n 14 580), adolescents aged 11-19 years (n 31 892) and adults aged 20-49 years (n 84 660). RESULTS: Among children, prevalence of excess weight, wasting and stunting was 16·9, 2·8 and 6·0 %, respectively. Differences related to income, education and race/ethnicity were verified, except for prevalence of wasting by education level. Girls and boys presented 18·4 and 20·5 % of excess weight, 2·8 and 3·7 % of underweight and 5·5 and 7·3 % of stunting, respectively. Prevalence of excess weight was lower among poorer, lower-educated (only for boys) and white adolescents, while stunting was lower among higher-income, higher-educated and white adolescents. Over three-quarters of women and almost half of men presented excess weight. Among adults, 3·9 % of women and 1·7 % of men were underweight, and 5·7 % of women and 0·2 % of men presented short stature. Prevalence of excess weight for women was higher among lower education and black, while for men it was higher among higher income and education and white. Short stature was more prevalent among black and mixed-race, low-educated and low-income women. Underweight prevalence was higher among low-educated, black and mixed-race women. CONCLUSIONS: In Brazil, the prevalence of excess weight was at least threefold higher than that of undernutrition for children and adolescents and at least sevenfold higher for adults. Social inequalities were observed in the distribution of malnutrition across the lifespan and by gender.

What to expect from the price of healthy and unhealthy foods over time? The case from Brazil.

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.