Associação de padrões alimentares com obesidade

Abstract

The objective of this study was to study the association between dietary patterns and obesity. A cross sectional population based study was carried out in 1026 adult women from Southern Brazil. Waist circumference (WC), height and weight were measured with a standardized protocol and Body Mass Index (BMI) calculated. Obesity was defined as a BMI≥30Kg/m2 and WC≥88cm. Principal component analysis was used to identify the dietary patterns. The multivariable analysis used a Poisson Regression model to estimate the prevalence ratios and their respective confidence intervals. The prevalence of obesity was 18,0% (CI95% 15,66–20,53) and abdominal obesity, 23,3% (CI95% 20,72–26,06). After controlling for possible confounders, low consumption of the “fruits” pattern was a risk factor for high BMI (PR=2,18; CI95% 1,35–3,53; p=0,001). Low consumption of the “vegetables” pattern protected against increased BMI (PR = 0,64; CI95% 0,47–0,86; p=0,004) while low consumption of “nuts” pattern protected against incre