Recent studies have explored the influence of socioeconomic inequalities on the diet quality. However, there is lack of evidence regarding the level of inequalities in dietary quality and its main contributing factors from population-based follow-up studies. The primary objective of this study was to investigate the level and the determinants of inequalities in diet quality in a representative sample of adolescents, adults and older adults resident in São Paulo, Brazil. Data from the Health Survey of São Paulo (ISA-Capital) were analyzed for 2003 (n = 2398), 2008 (n = 1662) and 2015 (n = 1742) surveys. Information on food consumption was obtained through 24-h dietary recall, and diet quality was assessed based on the Revised Brazilian Healthy Eating Index (BHEI-R). The descriptive variables were compared using 95% confidence interval. The scores of BHEI-R and its components were compared across age groups and year. The association between socioeconomic inequalities and diet quality was based on the estimation of concentration index. We observed that the BHEI-R scores gradually improved over 12-years, with older adults showing the greatest improvement. The increase in overall population score was observed for total fruits, whole fruits, whole grains, oils and sodium. The main contributor to socioeconomic inequality in diet quality in 2003 was ethnic group, and in 2008 and 2015, it was per capita household income; age was a persistent factor of inequality in the population over the years. Concentration indices indicated that lower income individuals had higher BHEI-R scores in 2003; however, there was a shift in favor of higher income individuals in 2008 and 2015. Changes in the patterns of determination of inequalities according to age, ethnic group or income during the period analyzed show the existence of ongoing process of contribution of demographic and socioeconomic factors in the diet quality of individuals in a large urban center.

Objective: To investigate the association among social determinants, lifestyle variables and diet quality in São Paulo, Brazil.Design: Cross-sectional study, 2015 Health Survey of São Paulo (Inquérito de Saúde de São Paulo (2015 ISA-Capital)) with Focus on Nutrition Study (2015 ISA-Nutrition).Setting: Population-based study, with a representative sample of adults living in São Paulo, Brazil.Participants: Adults (aged 20–59 years, n 643) and older adults (aged ≥60 years, n 545).Results: We observed differences in the Brazilian Healthy Eating Index-Revised (BHEI-R) by education, income, occupation, sex and race. Whole grains (0·63 points, 12·6 % of the maximum score), sodium (2·50 points, 25·0 %) and solid fat, alcohol and added sugars (9·28 points, 46·4 %) components had the lowest BHEI-R scores. Factors positively associated with diet quality included the presence of one disease or more (e.g. diabetes mellitus, hypertension, cancer, hypercholesterolaemia: β = 0·636, P < 0·001), income (middle income: β = 0·478, P < 0·001; high income: β = 0·966, P < 0·001) and occupation (other: β = 1·418, P < 0·001). Energy (β = –0·001, P < 0·001), alcohol consumption (β = –0·207, P = 0·027), education level (middle education: β = –0·975, P < 0·001; high education: β = –1·376, P < 0·001), races other than white (β = –0·366, P < 0·001) and being unemployed (β = –0·369, P < 0·046) were negatively associated with diet quality.Conclusions: Groups affected by socio-economic inequalities need better diet quality. Governmental actions should be implemented to reduce the consumption of energy-dense and sodium-rich foods, facilitate access and information on healthy eating, and conduct nutritional education.

Increased consumption of energy-dense, nutrient-poor foods can lead to inadequate intakes of shortfall nutrients, including vitamin A, D, C, and E, dietary folate, calcium, iron, magnesium, potassium, and fiber. The objective was to examine the prevalence of inadequate intake of shortfall nutrients and identify food sources of shortfall nutrients in eight Latin American countries. Data from ELANS, a multi-country, population-based study of 9218 adolescents and adults were used. Dietary intake was collected through two 24 h Recalls from participants living in urban areas of Argentina, Brazil, Chile, Colombia, Ecuador, Peru, and Venezuela. Foods and beverages were classified using the adapted version of the NHANES “What We Eat in America” system. Nutrients inadequacy was estimated using the Institute of Medicine recommendations and descriptive statistics were calculated. Prevalence of inadequacy was above 50% for most of the nutrients, which the exception of vitamin C with a prevalence of inadequacy of 39%. Milk, cheese, seafoods, breads, and fruit juices/drinks were among the top 5 sources for each of the 10 shortfall nutrients examined. Many food categories were top contributors to more than one dietary component examined. Understanding the nutrient intake and food sources can help inform dietary guidance and intervention approaches.

SUMMARY OBJECTIVE We investigated the associations between objectively assessed sedentary behavior (SB) and moderate-to-vigorous physical activity (MVPA) and body composition variables among a representative sample of Brazilian adults. METHODS Using an accelerometer, SB and MVPA were monitored for at least 5 days in 524 participants (261 men; age, 18-65 years). Each minute epoch was classified as sedentary or spent in light, moderate, or vigorous physical activity (LPA, MPA, and VPA, respectively). The measured body composition variables included abdominal perimeter (AP) and neck circumference (NC). RESULTS Men accumulated significantly more min/day of MPA (37.82 versus 27.28), VPA (1.10 versus 0.31), MVPA (39.02 versus 27.61), and steps/day (14,978 versus 13,443) than women (p<.001). In men, MPA, VPA, MVPA, and steps/day were negatively associated with AP (p<.05) independently of SB. Only VPA was significantly associated with NC (β= 0.113; p=.002). In women, only SB was significantly associated with AP (β= 0.003; p=.031). There were no significant associations between physical activity intensities and body composition in women. CONCLUSIONS Our findings on the unequal association of physical activity with body composition variables between sexes can help inform future intervention strategies in Brasil.

Objective: To evaluate associations between snacking and energy, nutrients and food source, and to identify the contribution of snacking across age, sex, weight status and lifestyle behaviors among adolescents and young adults. Methods: A sub-sample was calculated from the population-based cross-sectional study 2015-Health Survey of São Paulo (ISA-Capital). The survey “ISA-Nutrição” used a sample of non-institutionalized individuals aged >15 years. For this study, only adolescents (12-18 years old; n=418) and young adults (19-29 years old; n=218) were included. Snacks were identified, and their contribution to energy, nutrients, and food sources were calculated. Descriptive statistics and logistic regressions were used. Results: Participants experienced an average of 2.9±0.6 snacking occasions per day. Young adults consumed more energy from morning and night snacks, and adolescents, from afternoon snacks. The top three food sources on snacking contributed to 30.5% of energy: cookies (11.8%), sugar sweetened beverages (9.4%), sweets and other desserts (9.3%). Although results were non-significant, being a female (Odds Ratio [OR] 0.93; 95% confidence interval [95%CI] 0.36-1.49), meeting the physical activity recommendations (OR 0.75; 95%CI 0.25-1.25), and scoring higher for the healthy eating index (OR 0.88; 95%C 0.24-1.52) were all factors related to increased intake of snacks. Alternatively, overweight individuals (OR -0.54; 95%CI -1.00 to -0.08) consumed less snacks. Conclusions: Improving the quality of snacks should be considered in behavior-change strategies.

Health and nutrition surveys usually comprise detailed information on health characteristics and food consumption of certain population groups; however, the lack of data collection on the food prices may pose challenges for the estimation of the diet costs for the comprehensive analysis of food demand. The Household Budget Survey (HBS) represents an opportunity to obtain the data on the food prices for the nutrition surveys in the diverse countries worldwide. Although the HBS and the health and nutrition surveys may correspond to different periods, the application of the appropriate Consumer Price Index (CPI) allows to address the changes in the relative prices to perform the linkage between the data of food consumption with information on the food prices. Therefore, the aim of this study was to present the methods for the extraction and linkage of the food prices data from the Brazilian HBS (2002–2003 and 2008–2009) by using the pairing features related to the household characteristics to match the Health Survey of São Paulo [Inquérito de Saúde de São Paulo (ISA-Capital)] conducted in 2003, 2008, and 2015. Data referring to the household characteristics and food prices acquired by the household members living in São Paulo municipality were selected from the HBS datasets for integration with the ISA-Capital dataset. Specific deflators referring to the food items surveyed in São Paulo were obtained from the datasets of the Brazilian Broad Consumer Price Index (BCPI). Therefore, the pairing criteria referring to time, location, and household characteristics were adopted to allow linking foods consumed by the individuals in the ISA-Capital with the prices from the foods acquired by household members interviewed in the HBS. Matching data on the key pairing criteria (location/year/household income per capita/number of residents/family profile) resulted in the linkage of 94.4% (2003), 92.6% (2008), and 81.2% of the cases (2015). Following the data linkage, it was possible to estimate diet costs per gram and per calorie including application of cooking and conversion factors. Data were presented in the International Monetary Unit under the purchasing power parity (PPP) to allow the comparison at the international level. The mean diet costs identified in the population of São Paulo municipality were $8.45 (dp = 0.38) per capita per day in 2003, $8.72 (dp = 0.24) per capita per day in 2008, and $9.62 (dp = 0.23) per capita per day in 2015. Thus, it was possible to estimate the diet costs based on the prices of food items through pairing linkage of information from the household surveys, such as the Brazilian HBS, with the health and nutrition surveys lacking information on the expenditures or prices such as the ISA-Capital. Similar procedures may be used in the diverse countries with availability of the datasets of the household expenditures and health and nutrition surveys, allowing the researchers worldwide to associate the diet quality with food demand.