Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents.

Abstract

To determine the ability of 8 different maximal oxygen uptake (VO_2max) equations to discriminate between low and high cardiometabolic risk, and to determine cardiorespiratory fitness (CRF) cutoffs associated with a more favorable cardiometabolic risk profile in Colombian children and adolescents. In a cross-sectional study, CRF was estimated using the 20-m shuttle run test in 2870 schoolchildren (54.5% girls) from Bogota, Colombia. We computed a metabolic syndrome score (MetScore) as the sum of the age- and sex-standardized scores of waist circumference, triglycerides, high-density lipoprotein cholesterol, glucose, and systolic and diastolic blood pressure. Linear regression analyses showed that the Barnett et al (b) and Mahar equations were negatively associated with MetScore, showing the highest discriminatory accuracy for identifying the low/high cardiometabolic risk in both sexes and both age groups (9-12 years and 13-17 years). We propose that the Barnett et al (b) equation for boys and girls, VO_2max = 25.8 × (6.6 × G × 0.2 × (body mass + 3.2 × (final speed))), where G is gender (male = 0; female = 1), be used to classify youths at metabolic risk. The CRF cutoffs can serve as a quantitative marker of a healthier cardiovascular profile in Colombian children and adolescents.