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

R. Ramírez-Vélez, J.E. Correa-Bautista, J. Mota, A. Garcia-Hermoso

Research output: Contribution to journalArticle

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Abstract

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. © 2017 Elsevier Inc.
LanguageEnglish
JournalJournal of Pediatrics
DOIs
Publication statusPublished - 2018

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Oxygen
Blood Pressure
Colombia
Waist Circumference
HDL Cholesterol
Linear Models
Triglycerides
Age Groups
Cross-Sectional Studies
Regression Analysis
Glucose
Cardiorespiratory Fitness

Keywords

  • Cardiorespiratory fitness
  • Exercise field test
  • Metabolic risk
  • Shuttle run

Cite this

Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents. / Ramírez-Vélez, R.; Correa-Bautista, J.E.; Mota, J.; Garcia-Hermoso, A.

In: Journal of Pediatrics, 2018.

Research output: Contribution to journalArticle

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AU - Mota, J.

AU - Garcia-Hermoso, A.

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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. © 2017 Elsevier Inc.

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. © 2017 Elsevier Inc.

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