The aim of this study was to analyze trends and factors associated with food insecurity in Brazil in 2004, 2009, and 2013, using microdata from the National Household Sample Survey (PNAD). Food insecurity was assessed using the Brazilian Food Insecurity Scale. Independent variables were selected from a conceptual model of determination of food insecurity, which was also used in the elaboration of multiple generalized linear models. The results show a downward trend in food insecurity prevalence from 2004 to 2013, especially for moderate and severe food insecurity, from 17% in 2004 (95%CI: 15.7-18.4) to 7.9% in 2013 (95%CI: 7.2-8.7). Despite important decreases in the prevalence of moderate and severe food insecurity, regardless of the level of determination, the population strata with the lowest prevalence in 2004 showed the largest relative reduction. As for factors associated with moderate and severe food insecurity, they remained the same in the ten years covered by the PNAD survey, namely: the North and Northeast regions, urban areas with inadequate sanitation, household density > 2 persons per bedroom, ≤ 4 household durable consumer goods, and households headed by females, individuals < 60 years, and non-whites, ≤ 4 years of schooling, and being unemployed. From 2004 to 2013, the prevalence of Brazilian households with moderate and severe food insecurity dropped by half, but from the perspective of equity the advances occurred unequally and were lower in strata with greater social, economic, and demographic vulnerability.
All the determinants studied improved over the study period though not consistently. Despite significant reduction of child malnutrition in Pernambuco there remain differences regarding stunting, and children with better socioeconomic conditions have more favorable outcomes.
BackgroundIn Brazil, population-based researches analyzing prevalence and factors associated with metabolic syndrome (MS), a recognized predictor of cardiovascular diseases (CVD), and an important cause of disability and death in the country are scarce.ObjectiveTo evaluate prevalence of MS and its associated factors in Brazilian population.MethodsSecondary analysis of the 2013 National Health Survey, a cross-sectional survey with national representativeness of Brazilian adult population (n = 59,402). MS was the outcome variable, defined from harmonization of cardiology international consensus as load ≥ 3 of the following components: self-reported diabetes and hypercholesterolemia, high blood pressure and high waist circumference. Analysis were stratified by sex and prevalence ratios, with their respective 99% confidence intervals (PR [CI 99%]) calculated by simple and multiple Poisson regression models.ResultsMS prevalence was 8.9%, being significantly higher among women compared to men; in general, this pattern was maintained in relation to exposure variables studied. Additionally, less than 25% of population did not present any MS component. In final multiple models, sociodemographic, behavioral and comorbidity variables were associated with MS, however, while low schooling (1.46 [1.23-1.74], cerebrovascular accident (1.36 [1], 00] (1.28 [1.03-1.62]) were associated among women, chronic renal failure (1.85 [2.23-2.76]) was associated exclusively among men.ConclusionWe identified MS high prevalence in Brazilian population; on the other hand, factors associated with this condition were different depending on sex.
OBJECTIVE:To analyze the evolution of stunting among children and adolescents and identify their associated factors. METHODS:This was a cross-sectional study using data from the state health and nutrition surveys that were conducted in Pernambuco (Northeastern Brazil) in 1997 and 2006. The sample was probabilistic (random and stratifi ed) and was representative of urban and rural strata of the state. Questionnaires containing precoded questions relating to information on socioeconomic, demographic and anthropometric variables (of the mothers, children and adolescents) were used for data gathering. The population studied comprised 1853 children and 1484 adolescents between the ages of fi ve and 19 years. Multiple regression analysis with hierarchical selection was used to evaluate associations between explanatory variables relating to stunting. RESULTS:The prevalence of stunting presented a signifi cant reduction of 43% (from 16.9% in 1997 to 9.6% in 2006). Socioeconomic variables and maternal height were associated with this decline. The reductions ranged from 39% to 60% among the strata analyzed. Analysis on determinants of stunting showed that in 2006, the following remained signifi cant: per capita family income (< 0.25 minimum salary), possession of domestic goods (≤ three), greater number of people per household, lower schooling level and lower maternal height. CONCLUSIONS:The reduction in stunting refl ected improvements in social and economic conditions. However, it remains necessary to maintain and improve public policies, in order to increase the purchasing power of the poorest people and to achieve universal access to health and education services for the population.
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