Studies suggest that haem, non-haem iron and total iron intake may be related to non-communicable diseases, especially metabolic syndrome. This study was undertaken to investigate the association of haem, non-haem iron and total iron intake with metabolic syndrome and its components. A cross-sectional population-based survey was performed in 2008, enrolling 591 adults and elderly adults living in São Paulo, Brazil. Dietary intake was measured by two 24 h dietary recalls. Metabolic syndrome was defined as the presence of at least three of the following: hypertension, hyperglycaemia, dyslipidaemia and central obesity. The association between different types of dietary iron and metabolic syndrome was evaluated using multiple logistic regression. After adjustment for potential confounders, a higher haem iron intake was positively associated with metabolic syndrome and with elevated triglyceride levels. A higher total iron intake was positively associated with hyperglycaemia. Non-haem iron intake was positively associated with hyperglycaemia in the fourth quintile. In conclusion, this study suggests that the different types of dietary iron are associated with metabolic syndrome, elevated triglyceride levels and hyperglycaemia. In addition, it emphasises the importance of investigating the roles of dietary iron in health outcomes, since its consumption may have different impacts on health.

Intervenção nutricional educativa como ferramenta eficaz para mudança de hábitos alimentares e peso corporal entre praticantes de atividade física Educational nutritional intervention as an effective tool for changing eating habits and body weight among those who practice physical activities

Background Acute coronary syndrome (ACS) is responsible for high rates of hospital admission and readmission, which are associated with increased costs for the patient and the health system, and increased in-hospital mortality rates. Objective To evaluate readmission in patients with ACS and its determinants. Methods This was a retrospective cohort study of adult and elderly patients with ACS, readmitted to public and private referral cardiology hospitals within one year after the first hospitalization for ACS. The occurrence of readmissions, the time elapsed from the first to the second admission, and the use of medications at admission were collected from the medical records. Associations between categorical variables were evaluated by the chi-square test or the Fisher's exact test. Multiple logistic regression was used to evaluate predictors for readmissions. A p < 0.05 was set as statistically significant. Results Readmission rate was 21.5% (n = 115) and mean time between admissions was 122.7 ± 112.1 days. The patients were mostly men (64.0%), mean age of 63.15 ± 12.3 years. Among readmitted patients, 7% had a prognosis of "death", and 68.7% were readmitted more than once within a one-year period. The main reasons of readmission were cardiovascular diseases including ACS. Private health care and the diagnosis of congestive heart failure were associated with multiple logistic regression. Conclusion ACS was the main cause of readmission, with higher prevalence among users of supplemental health care. Readmissions were associated with previous diagnosis of congestive heart failure and the type of health care provided.

BackgroundThe association of obesity and dietary patterns has been well documented in scientific literature; however, information on the impact of meal patterns on obesity is scarce. The objective of this study was to investigate the association of adherence to lunch patterns and body mass index (BMI) in a representative sample of individuals aged 20 years or older in Sao Paulo.MethodsData for 933 participants were retrieved from the Health Survey of São Paulo (ISA-Capital 2008), a cross-sectional population-based survey. The usual dietary intake of individuals with at least one 24-h recall was estimated by the Multiple Source Method. The definition of lunch was self-reported by the participant. Five lunch patterns were derived from twenty-two food groups by exploratory factor analysis: Traditional, Western, Sweetened juice, Salad, and Meats. To estimate the effect of lunch patterns on BMI, we used a generalized linear model with link identity and inverse Gaussian distribution. Analyses were adjusted by age, gender, household income per capita, physical activity levels, smoking status, alcohol consumption, total energy intake, and misreporting status.ResultsThe greater adherence to the traditional pattern at the lunch meal was associated with lower BMI, only in insufficiently active individuals (ß = −0.78; 95% CI -1.57; −0.02).ConclusionsThe traditional Brazilian lunch pattern might protect the insufficiently active individuals against obesity.

Introduction: The intake of sugar-sweetened beverages (SSB) varies according to the characteristics of the population. Objective: To investigate the SSB intake and demographic, socioeconomic and lifestyle factors associated with its consumption in adolescents, adults, and older adults in São Paulo. Methods: Data were drawn from the Health Survey of São Paulo, a cross-sectional population-based study including 1,662 individuals aged 12 years or more. SSB were classified into six groups: sugar-sweetened sodas, sweetened coffee and tea, sweetened milk and dairy products, sweetened fruit juice, sweetened fruit drink, and total SSB. The association of each group with demographic, socioeconomic and lifestyle variables was assessed using linear regression models. Results: The mean SSB intake was 668.4 mL in adolescents, 502.6 mL in adults, and 358.2 mL in elderly adults. Sodas and sweetened coffee and tea represented had the greatest contribution to energy intake. SSB consumption was lower among female sex and higher among overweight adolescents, among sufficiently active adults, and among lower household per capita income older adults. Consumption of SSB was high, particularly among adolescents. Public policies are required in order to decrease the consumption of these beverages. Conclusion: Age group, sex, household per capita income, and body mass index status were associated with SSB intake.