Validation of equations to estimate the peak oxygen uptake in adolescents from 20 metres shuttle run test

2020 ◽  
Vol 38 (22) ◽  
pp. 2588-2596
Author(s):  
Francisco José de Menezes-Junior ◽  
Íncare Correa de Jesus ◽  
Jorge Mota ◽  
Maria de Fatima Aguiar Lopes ◽  
Patricia Ribeiro Paes Corazza ◽  
...  
Keyword(s):  
Oxygen Uptake ◽  
Peak Oxygen Uptake ◽  
Run Test ◽  
Shuttle Run

Prediction of VO2peak from the 20-m Shuttle-Run Test in Youth With Down Syndrome

2011 ◽  
Vol 28 (2) ◽  
pp. 146-156 ◽  
Author(s):  
Stamatis Agiovlasitis ◽  
Kenneth H. Pitetti ◽  
Myriam Guerra ◽  
Bo Fernhall
Keyword(s):  
Body Mass Index ◽  
Down Syndrome ◽  
Oxygen Uptake ◽  
Regression Model ◽  
Body Mass ◽  
Prediction Equation ◽  
Peak Oxygen Uptake ◽  
Run Test ◽  
Shuttle Run

This study examined whether 20-m shuttle-run performance, sex, body mass index (BMI), age, height, and weight are associated with peak oxygen uptake (VO2peak) in youth with Down syndrome (DS; n = 53; 25 women, age 8–20 years) and whether these variables can be used to develop an equation to predict VO2peak. BMI, 20-m shuttle-run performance, and sex were significantly associated with VO2peak in youth with DS, whereas age, height, and weight were not. A regression model included only shuttle-run performance as a significant predictor of VO2peak; however, the developed prediction equation had low individual predictability. Therefore, 20-m shuttle-run performance alone does not provide valid prediction of VO2peak in youth with DS. Sex, BMI, age, height, and weight do not improve the prediction of VO2peak.

scholarly journals Use of the 6-minute walk/run test to predict peak oxygen uptake in adolescents

2014 ◽  
Vol 19 (1) ◽  
Author(s):  
Gabriel Bergmann ◽  
Mauren Bergmann ◽  
Antônio De Castro ◽  
Thiago Lorenzi ◽  
Eraldo Pinheiro ◽  
...  
Keyword(s):  
Oxygen Uptake ◽  
Peak Oxygen Uptake ◽  
Run Test ◽  
Minute Walk

scholarly journals A progressive shuttle run test to estimate maximal oxygen uptake.

1988 ◽  
Vol 22 (4) ◽  
pp. 141-144 ◽  
Author(s):  
R Ramsbottom ◽  
J Brewer ◽  
C Williams
Keyword(s):  
Oxygen Uptake ◽  
Maximal Oxygen Uptake ◽  
Run Test ◽  
Shuttle Run

Commentary on the Assessment and Interpretation of Pediatric Aerobic Fitness—The Year That Was 2017

2018 ◽  
Vol 30 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Neil Armstrong
Keyword(s):  
Exercise Testing ◽  
Aerobic Fitness ◽  
Test Performance ◽  
Temporal Trends ◽  
Well Being ◽  
Peak Oxygen Uptake ◽  
Current Debate ◽  
Link Type ◽  
Run Test ◽  
Shuttle Run

Three papers, which between them contribute to the current debate on the assessment and interpretation of pediatric aerobic fitness, were selected for commentary. The first paper (Children. 2017; 4:6; doi:10.3390/children4010006) highlights the merits of clinical exercise testing and advocates the advancement of pediatric exercise testing through a rationale founded on demonstrated prognostic value of data obtained. It notes the lack of well-accepted definitions of exercise outcome variables in children and promotes the case for data harmonization across laboratories. The second paper (J Appl Physiol. 2017; 122: 997–1002) argues persuasively that the acceptance of peak oxygen uptake (peak ) at the termination of an exercise test to voluntary exhaustion as a surrogate for a “true” maximal value (ie, ) is no longer tolerable. The authors present a compelling case for the adoption of a follow-up verification test to unambiguously validate the achievement of . The third paper (Br J Sports Med. 2017; 1–10, doi:10.1136/bjsports-2017-097982) compiles large, previously published datasets to provide a review of temporal trends in 20-m shuttle run test scores. The authors assert that temporal trends in 20-m shuttle run test performance provide meaningful insight into trends in population health. The commentary stresses the importance of scientific rigor in pediatric exercise testing, emphasizes the use of precise definitions when describing health-related variables, and cautions against the misuse of exercise outcome measures in recommendations relating to or impacting on young people’s health and well-being.

scholarly journals Relationships Between Walk/Run Performance and Cardiorespiratory Fitness in Adolescents Who Are Overweight

2001 ◽  
Vol 81 (12) ◽  
pp. 1889-1896 ◽  
Author(s):  
Bart Drinkard ◽  
Jennifer McDuffie ◽  
Serena McCann ◽  
Gabriel I Uwaifo ◽  
Jennifer Nicholson ◽  
...  
Keyword(s):  
Body Composition ◽  
Oxygen Uptake ◽  
Cardiorespiratory Fitness ◽  
Body Fat ◽  
Peak Oxygen Uptake ◽  
Cycle Ergometry ◽  
Percentage Of Body Fat ◽  
Run Test ◽  
Ergometry Test ◽  
Minute Walk

Abstract Background and Purpose. Little is known about the methods used to assess the physical fitness of adolescents who are overweight. We investigated the relationship between walk/run performance and cardiorespiratory fitness in adolescents who are overweight. Subjects. Eight African-American adolescents (5 female, 3 male) and 10 Caucasian adolescents (5 female, 5 male) who were overweight (mean age=14.5 years, SD=2.0, range=12–17; mean body mass index [BMI]=42.9 kg/m2, SD=11.5) participated in this study. Methods. Subjects performed a 12-minute walk/run test. The distances traveled at both 9 minutes (D9) and 12 minutes (D12) were recorded, and the distance traveled between 9 and 12 minutes (D9–12) was calculated. Subjects also completed a maximal cycle ergometry test, during which peak oxygen uptake (V̇o2peak), anaerobic threshold (AT), peak power (Wpeak), and power at the anaerobic threshold (Wat) were determined. Body composition was determined by air displacement plethysmography. Results. The mean percentage of body fat was 48.6% (SD=5.3%, range=40.3%–60.4%). Percentage of body fat and BMI were each inversely related to D9, D12, and V̇o2peak (all P<.005). Peak oxygen uptake (r=.72, P=.0001), V̇o2peak/kg lean body mass (r=.60, P<.005), Wpeak (r=.88, P<.0001), and Wat (r=.72, P=.0007) were all related to D12, with greater r values than for D9. If D9–12was included in regression analyses, D9 did not account for additional variance in any of the cycle ergometry variables. Discussion and Conclusion. These results suggest that an easily obtained measurement of physical performance (distance traveled during a 12-minute walk/run test) is related to cardiorespiratory fitness and to body composition in adolescents who are overweight. The 12-minute walk/run distance is more predictive of cycle ergometry test results than the 9-minute distance.

scholarly journals Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults

2021 ◽  
Vol 18 (16) ◽  
pp. 8510
Author(s):  
Hun-Young Park ◽  
Hoeryoung Jung ◽  
Seunghun Lee ◽  
Jeong-Weon Kim ◽  
Hong-Lae Cho ◽  
...  
Keyword(s):  
Neural Network ◽  
Blood Pressure ◽  
Artificial Neural Network ◽  
Waist Circumference ◽  
Oxygen Uptake ◽  
Healthy Adults ◽  
Hip Circumference ◽  
Run Test ◽  
Final Speed ◽  
Shuttle Run

We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (VO2max) based on a multistage 10 m shuttle run test (SRT) in healthy adults. For ANN-based VO2max estimation, 118 healthy Korean adults (59 men and 59 women) in their twenties and fifties (38.3 ± 11.8 years, men aged 37.8 ± 12.1 years, and women aged 38.8 ± 11.6 years) participated in this study; data included age, sex, blood pressure (systolic blood pressure (SBP), diastolic blood pressure (DBP)), waist circumference, hip circumference, waist-to-hip ratio (WHR), body composition (weight, height, body mass index (BMI), percent skeletal muscle, and percent body), 10 m SRT parameters (number of round trips and final speed), and VO2max by graded exercise test (GXT) using a treadmill. The best estimation results (R2 = 0.8206, adjusted R2 = 0.7010, root mean square error; RMSE = 3.1301) were obtained in case 3 (using age, sex, height, weight, BMI, waist circumference, hip circumference, WHR, SBP, DBP, number of round trips in 10 m SRT, and final speed in 10 m SRT), while the worst results (R2 = 0.7765, adjusted R2 = 0.7206, RMSE = 3.494) were obtained for case 1 (using age, sex, height, weight, BMI, number of round trips in 10 m SRT, and final speed in 10 m SRT). The estimation results of case 2 (using age, sex, height, weight, BMI, waist circumference, hip circumference, WHR, number of round trips in 10 m SRT, and final speed in 10 m SRT) were lower (R2 = 0.7909, adjusted R2 = 0.7072, RMSE = 3.3798) than those of case 3 and higher than those of case 1. However, all cases showed high performance (R2) in the estimation results. This brief report developed an ANN-based estimation model to predict the VO2max of healthy adults, and the model’s performance was confirmed to be excellent.

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