TY - JOUR
T1 - Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
AU - Ramírez-Vélez, Robinson
AU - Correa-Bautista, Jorge Enrique
AU - Mota, Jorge
AU - Garcia-Hermoso, Antonio
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Objective: To determine the ability of 8 different maximal oxygen uptake (VO2max) 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. Study design: 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. Results: 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). Conclusions: We propose that the Barnett et al (b) equation for boys and girls, VO2max = 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.
AB - Objective: To determine the ability of 8 different maximal oxygen uptake (VO2max) 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. Study design: 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. Results: 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). Conclusions: We propose that the Barnett et al (b) equation for boys and girls, VO2max = 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.
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U2 - 10.1016/j.jpeds.2017.11.007
DO - 10.1016/j.jpeds.2017.11.007
M3 - Article
C2 - 29305232
AN - SCOPUS:85039862104
SN - 0022-3476
VL - 194
SP - 152
EP - 157
JO - Journal of Pediatrics
JF - Journal of Pediatrics
IS - 2018
ER -