Cintura e índice de masa corporal : Los mejores predictores antropométricos en la reducción y progresión de la agregación de factores de riesgo cardiometabólicos

Abstract

The objective of this study was to determine the impact of variation of dierent anthropometric parameters at follow-up in the evolution of the metabolic syndrome (MetS). Prospective study in 178 subjects who attended a cardiovascular health program between 2013 and 2016. Demographical data, medical history and cardiovascular (CV) risk factors (RFs) were collected. In addition, fasting lipid prole, blood glucose, blood pressure and anthropometrical parameters (BMI, WC, hip, and fat percentage) were measured. To determine the evolution of MetS, the clustering of 2 or more of the MetS components were considered, excluding WC. Odds proportional models adjusted by age, sex and time of follow-up were built to determine the probability of reverting the MetS. MetS reversion was considered as the reduction to 1 or 0 components in subjects with 2 or more. Mean follow-up time was 2 years. Mean age was 40 years old and 37% were women. According to the odds proportional models, subjects tripled their chance of reverting MetS for each 1 kg/m2 of BMI reduction (ORBMI=3.03; 1.74-5.28; p<0.001). For WC, the chance of reverting MetS increased 52% for each reduction of 1 cm of waist (ORwaist =1.52; 1.28-1.81; p<0.001). A reduction of 0.01 in the waist to hip ratio increased in 26% the chance of reverting MetS (ORwaist/hip=1.26; 1.06-1.491; p<0.01); however, fat percentage did not have a signicant eect on the evolution of the MetS. BMI and WC are the most reliable anthropometrical parameters for monitoring the evolution of MetS aggregation in the out-patient clinical setting.