Overview of Cardiovascular Disease Risk Factors in Adults in São Paulo, Brazil: Prevalence and Associated Factors in 2008 and 2015

Abstract Background Cardiovascular diseases (CVDs) are the main cause of morbidity and mortality in Brazil. Objective To provide population-based data on prevalence and factors associated with CVD risk factors. Methods Individuals aged ≥20 years from two editions of the cross-sectional Health Survey of São Paulo focusing on Nutrition (ISA-Nutrition), performed in Sao Paulo city in 2008 (n=590) and 2015 (n=610), were evaluated for: obesity, central obesity, waist/height ratio, high blood pressure (HBP), dyslipidemia, diabetes, and number of CVD risk factors ≥3. Prevalence was estimated according to complex survey procedures. Factors associated with cardiovascular risk factors were assessed using logistic regression, with statistical significance of p<0.05. Results Obesity and older age were associated with higher odds of all cardiovascular risk factors investigated, except for dyslipidemia. HBP was positively associated with being Black/Brown and negatively associated with being physicaly active in leisure time. Women were more likely to have increased adiposity indicators and three or more cardiovascular risk factors than men. Those with higher education had lower chances of having diabetes, HBP and dyslipidemia, and those with higher income had higher chances of having three or more risk factors. Former smokers had higher odds of diabetes, obesity, and high waist/height ratio, and smokers had higher odds of high non-HDL cholesterol levels. From 2008 to 2015, there was an increase (p<0.001) in the prevalence of diabetes (6.9% to 17.3%), HBP (31.9% to 41.8%), dyslipidemia (51.3% to 67.6%), and number of CVD risk factors ≥3 (18.9% to 34.1%). Conclusion This study shows increasing prevalence of CVD risk factors in adult population in Sao Paulo and may support the definition of target groups and priority actions on CVD prevention and treatment.

Comparing Methods from the National Cancer Institute vs Multiple Source Method for Estimating Usual Intake of Nutrients in the Hispanic Community Health Study/Study of Latino Youth.

BACKGROUND: The Multiple Source Method (MSM) and the National Cancer Institute (NCI) method estimate usual dietary intake from short-term dietary assessment instruments, such as 24-hour recalls. Their performance varies according to sample size and nutrients distribution. A comparison of these methods among a multiethnic youth population, for which nutrient composition and dietary variability may differ from adults, is a gap in the literature. OBJECTIVE: To compare the performance of the NCI method relative to MSM in estimating usual dietary intakes in Hispanic/Latino adolescents. DESIGN: Data derived from the cross-sectional population-based Hispanic Community Health Study/Study of Latino Youth, an ancillary study of offspring of participants in the adult Hispanic Community Health Study/Study of Latino Youth cohort. Dietary data were obtained by two 24-hour recalls. PARTICIPANTS/SETTING: One thousand four hundred fifty-three Hispanic/Latino youth (aged 8 to 16 years) living in four urban US communities (Bronx, NY; Chicago, IL; Miami, FL; and San Diego, CA) during 2012 through 2014. MAIN OUTCOME MEASURES: The NCI method and the MSM were applied to estimate usual intake of total energy, macronutrients, minerals and vitamins, added sugar, and caffeine. STATISTICAL ANALYSES: Mean, standard deviation, minimum and maximum values, coefficient of variation, variance ratio, and differences between NCI and MSM methods and the 2-day mean were estimated in several percentiles of the distribution, as well as concordance correlation coefficients and Bland-Altman plot analysis. RESULTS: The distributions of all nutrients studied were very similar between NCI and MSM. The correlation between NCI and MSM was >0.80 for all nutrients (P<0.001), except dietary cholesterol, vitamin C, and n-3 fatty acids. In individual estimations, NCI method predicted higher estimates and lower variance than the MSM. The lowest level of agreement was observed in the values at the tails of the distribution, and for nutrients with high variance ratio. CONCLUSIONS: Overall, both MSM and NCI method provided acceptable estimates of the usual intake distribution using 24-hour recall, and they better represented the usual intake compared with 2-day mean, correcting for intraindividual variability.

Children's nutrient intake variability is affected by age and body weight status according to results from a Brazilian multicenter study.

A major challenge in nutritional studies focusing on children is estimating "true" intake because the type and amount of foods eaten change throughout growth and development, thereby affecting the variability of intake. The present study investigated the hypothesis that age and body weight status affect the ratio of the within- and between-subject variation of intakes (VR) as well as the number of days of dietary assessment (D) of energy and nutrients. A total of 2,981 Brazilian preschoolers aged 1-6 years were evaluated in a cross-sectional study. Weighed food records and estimated food records were used to assess dietary intake inside and outside of school. Within- and between-subject variations of intakes were estimated by multilevel regression models. VR and D were calculated according to age group and body weight status. VR ranged from 1.17 (calcium) to 8.70 (fat) in the 1- to 2-year-old group, and from 1.47 (calcium) to 8.95 (fat) in the 3- to 6-year-old group. Fat, fiber, riboflavin, folate, calcium, phosphorus, and iron exhibited greater VR and D in the 3- to 6-year-old group. For energy, carbohydrates, and protein, both within- and between-subject variation increased with increasing age. In both body weight groups, calcium showed the lowest VR. Fat showed the highest VR in nonoverweight/obese children (9.47), and fiber showed the highest VR in overweight/obese children (8.74). For most nutrients, D = 7 was sufficient to correctly rank preschoolers into tertiles of intake. In conclusion, age and body weight status affected the within- and between-subject variation and the VR of energy and nutrient intakes among Brazilian preschool children.