Robinson Ramírez-Vélez1, Jorge Enrique Correa-Bautista1, Jorge Mota2, Antonio Garcia-Hermoso3. 1. School of Medicine and Health Sciences, Center for the Study of Physical Activity Measurement (CEMA), Universidad del Rosario, Bogotá, Colombia. 2. Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Porto, Portugal. 3. Physical Activity, Sport and Health Sciences Laboratory, Faculty of Medical Sciences, Universidad de Santiago de Chile, USACH, Santiago, Chile. Electronic address: antonio.garcia.h@usach.cl.
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.
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.
Authors: Scott Rollo; Brooklyn J Fraser; Nick Seguin; Margaret Sampson; Justin J Lang; Grant R Tomkinson; Mark S Tremblay Journal: Sports Med Date: 2021-09-01 Impact factor: 11.928
Authors: Diego Augusto Santos Silva; Justin J Lang; Joel D Barnes; Grant R Tomkinson; Mark S Tremblay Journal: PLoS One Date: 2018-08-01 Impact factor: 3.240
Authors: Robinson Ramírez-Vélez; Antonio García-Hermoso; Alicia María Alonso-Martínez; César Agostinis-Sobrinho; Jorge Enrique Correa-Bautista; Héctor Reynaldo Triana-Reina; Mikel Izquierdo Journal: Int J Environ Res Public Health Date: 2019-10-14 Impact factor: 3.390