PURPOSE: Criterion-referenced cut-points for health-related fitness measures are lacking. This study aimed to determine the associations between aerobic fitness and high blood pressure levels (HBP) to determine the cut-points that best predict HBP among adolescents. METHOD: This cross-sectional school-based study with sample of 875 adolescents aged 14-19 years was conducted in southern Brazil. Aerobic fitness was assessed using the modified Canadian Aerobic Fitness Test (mCAFT). Systolic and diastolic blood pressure were measured by the oscillometric method with a digital sphygmomanometer. Analyses controlled for sociodemographic variables, physical activity, body mass and biological maturation. RESULTS: Receiver Operating Characteristic (ROC) curves demonstrated that mCAFT measures could discriminate HBP in both sexes (female: AUC = 0.70; male: AUC = 0.63). The cut-points with the best discriminatory power for HBP were 32 mL·kg-1·min-1 for females and 40 mL·kg-1·min-1 for males. Females (OR = 8.4; 95% CI: 2.1, 33.7) and males (OR: 2.5; CI 95%: 1.2, 5.2) with low aerobic fitness levels were more likely to have HBP. CONCLUSION: mCAFT measures are inversely associated with BP and cut-points from ROC analyses have good discriminatory power for HBP.
PURPOSE: Criterion-referenced cut-points for health-related fitness measures are lacking. This study aimed to determine the associations between aerobic fitness and high blood pressure levels (HBP) to determine the cut-points that best predict HBP among adolescents. METHOD: This cross-sectional school-based study with sample of 875 adolescents aged 14-19 years was conducted in southern Brazil. Aerobic fitness was assessed using the modified Canadian Aerobic Fitness Test (mCAFT). Systolic and diastolic blood pressure were measured by the oscillometric method with a digital sphygmomanometer. Analyses controlled for sociodemographic variables, physical activity, body mass and biological maturation. RESULTS: Receiver Operating Characteristic (ROC) curves demonstrated that mCAFT measures could discriminate HBP in both sexes (female: AUC = 0.70; male: AUC = 0.63). The cut-points with the best discriminatory power for HBP were 32 mL·kg-1·min-1 for females and 40 mL·kg-1·min-1 for males. Females (OR = 8.4; 95% CI: 2.1, 33.7) and males (OR: 2.5; CI 95%: 1.2, 5.2) with low aerobic fitness levels were more likely to have HBP. CONCLUSION: mCAFT measures are inversely associated with BP and cut-points from ROC analyses have good discriminatory power for HBP.
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: Diego Augusto Santos Silva; Justin J Lang; Edio L Petroski; Júlio B Mello; Adroaldo C A Gaya; Mark S Tremblay Journal: PeerJ Date: 2020-02-18 Impact factor: 2.984