Reproducibility of the Rotor 2INpower Crankset for Monitoring Cycling Power Output: A Comprehensive Analysis in Different Real-Context Situations

2021 ◽  
pp. 1-6
Author(s):  
Víctor Rodríguez-Rielves ◽  
Alejandro Martínez-Cava ◽  
Ángel Buendía-Romero ◽  
José Ramón Lillo-Beviá ◽  
Javier Courel-Ibáñez ◽  
...  
Keyword(s):  
Exercise Test ◽  
Standard Error ◽  
Power Output ◽  
Gold Standard ◽  
Graded Exercise Test ◽  
Wide Range ◽  
Graded Exercise ◽  
Standard Error Of Measurement ◽  
Acceptable Agreement ◽  
Error Of Measurement

Purpose: To examine the reproducibility (intradevice and interdevice agreement) of the Rotor 2INpower device under a wide range of cycling conditions. Methods: Twelve highly trained male cyclists and triathletes completed 5 cycling tests, including graded exercise tests at different cadences (70–100 rpm), workloads (100–650 W), pedaling positions (seated and standing), and vibration conditions (20–40 Hz) and an 8-second maximal sprint (>1000 W). An intradevice analysis included a comparison between the power output registered by 3 units of Rotor 2INpower, whereas the power output provided by each one of these units and the gold-standard SRM crankset were compared for the interdevice analysis. Among others, statistical calculations included the standard error of measurement, expressed in absolute (in watts) and relative terms as the coefficient of variation (CV). Results: Except for the graded exercise test seated at 100 rpm/100 W (CV = 10.2%), the intradevice analysis showed an acceptable magnitude of error (CV ≤ 6.9%, standard error of measurement ≤ 12.3 W) between the 3 Rotor 2INpower. Similarly, these 3 units showed an acceptable agreement with the gold standard in all graded exercise test situations (CV ≤ 4.0%, standard error of measurement ≤ 13.1 W). On the other hand, both the intradevice and interdevice agreements proved to be slightly reduced under high cadences (intradevice: CV ≤ 10.2%; interdevice: CV ≤ 4.0%) and vibration (intradevice: CV ≤ 4.0%; interdevice: CV ≤ 3.6%), as well as during standing pedaling (intradevice: CV ≤ 4.1%; interdevice: CV ≤ 2.5%). Although within the limits of an acceptable agreement, measurement errors increased during the sprint tests (CV ≤ 7.4%). Conclusions: Based on these results, the Rotor 2INpower could be considered a reproducible tool to monitor power output in most cycling situations.

Protein Supplementation Does Not Improve Aerobic and Anaerobic Fitness in Collegiate Dancers Performing Cycling Based High Intensity Interval Training

2021 ◽  
Author(s):  
Christopher J. Alfiero ◽  
Samantha J. Brooks ◽  
Hannah M. Bideganeta ◽  
Coby Contreras ◽  
Ann F. Brown
Keyword(s):  
Body Composition ◽  
Exercise Test ◽  
Power Output ◽  
Interval Training ◽  
Protein Supplementation ◽  
Peak Power Output ◽  
Graded Exercise Test ◽  
Graded Exercise ◽  
Appendicular Skeletal Muscle ◽  
High Intensity Interval

The effects of a 6-week cycling high-intensity interval training (HIIT) concurrently with protein supplementation on aerobic and anaerobic fitness and body composition in collegiate dancers was investigated. Eighteen participants enrolled in a collegiate dance program were matched into three groups: high-protein (HP; 90 g·d-1), moderate-protein (MP; 40 g·d-1), and control (C; 0 g·d-1). All participants performed a 6-week HIIT intervention. Participants completed a graded exercise test, Wingate anaerobic test (Wingate), and dual energy x-ray absorptiometry scan before and after the intervention. Peak heart rate (HRpeak), peak oxygen uptake (VOpeak), peak power output (PPO), lactate threshold (LT), and ventilatory thresholds 1 (VT1) and 2 (VT2) were assessed during the graded exercise test. Peak power output, mean power output (MPO), and fatigue index (FI) were assessed during the Wingate. Lean mass (LM), fat mass (FM), visceral adipose tissue, appendicular skeletal muscle mass, and appendicular skeletal muscle mass index were assessed during dual energy x-ray absorptiometry. Body composition index (BCI) was calculated from pre and post LM and FM. Habitual diet was recorded weekly. Significance was set at p ≤ 0.05. No significant differences in VO2peak and percent fat mass (%FM) were observed between groups prior to the intervention. Significant main effects for time were observed for HRpeak (p = 0.02), VO2peak (p < 0.001), PPO (p < 0.01), LT (p < 0.001), VT1 (p < 0.001), and VT2 (p < 0.001) during the graded exercise test, and PPO (p < 0.01) and FI (p < 0.01) during the Wingate. Significant main effects for time were observed for LM (kg; p = 0.01) and FM (kg; p < 0.01). Body composition index was improved for all groups, however, no significant differences by group were observed. No significant differences were observed between groups for the measured outcomes (p > 0.05). Therefore, there was no effect of protein supplementation in the short 6-week intervention. This cycling based HIIT routine increased physical fitness, optimized aesthetics, and was a simple addition to an existing collegiate dance curriculum.

Five-Minute Power-Based Test to Predict Maximal Oxygen Consumption in Road Cycling

2021 ◽  
pp. 1-7
Author(s):  
Sebastian Sitko ◽  
Rafel Cirer-Sastre ◽  
Francisco Corbi ◽  
Isaac López-Laval
Keyword(s):  
Oxygen Consumption ◽  
Exercise Test ◽  
Power Output ◽  
Maximal Oxygen Consumption ◽  
Relative Power ◽  
Credibility Interval ◽  
Graded Exercise Test ◽  
Road Cycling ◽  
Graded Exercise ◽  
Using Data

Purpose: To examine the ability of a multivariate model to predict maximal oxygen consumption (VO2max) using performance data from a 5-minute maximal test (5MT). Methods: Forty-six road cyclists (age 38 [9] y, height 177 [9] cm, weight 71.4 [8.6] kg, VO2max 61.13 [9.05] mL/kg/min) completed a graded exercise test to assess VO2max and power output. After a 72-hour rest, they performed a test that included a 5-minute maximal bout. Performance variables in each test were modeled in 2 independent equations, using Bayesian general linear regressions to predict VO2max. Stepwise selection was then used to identify the minimal subset of parameters with the best predictive power for each model. Results: Five-minute relative power output was the best explanatory variable to predict VO2max in the model from the graded exercise test (R2 95% credibility interval, .81–.88) and when using data from the 5MT (R2 95% credibility interval, .61–.77). Accordingly, VO2max could be predicted with a 5MT using the equation VO2max = 16.6 + (8.87 × 5-min relative power output). Conclusions: Road cycling VO2max can be predicted in cyclists through a single-variable equation that includes relative power obtained during a 5MT. Coaches, cyclists, and scientists may benefit from the reduction of laboratory assessments performed on athletes due to this finding.

scholarly journals Effect of four different forms of high intensity training on BDNF response to Wingate and Graded Exercise Test

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eugenia Murawska-Ciałowicz ◽  
Gilmara Gomes de Assis ◽  
Filipe Manuel Clemente ◽  
Yuri Feito ◽  
Petr Stastny ◽  
...  
Keyword(s):  
Exercise Test ◽  
High Intensity ◽  
Minute Ventilation ◽  
Interval Training ◽  
Wingate Anaerobic Test ◽  
High Intensity Training ◽  
Graded Exercise Test ◽  
Graded Exercise ◽  
Group 2 ◽  
Intensity Training

AbstractThis study examined the effects of a nine-week intervention of four different high-intensity training modalities [high-intensity functional training (HIFT), high-intensity interval training (HIIT), high-intensity power training (HIPT), and high-intensity endurance training (HIET)] on the resting concentration of brain-derived neurotropic factor (BDNF). In addition, we evaluated the BDNF responses to Graded Exercise Test (GXT) and Wingate Anaerobic Test (WAnT) in men. Thirty-five healthy individuals with body mass index 25.55 ± 2.35 kg/m2 voluntarily participated in this study and were randomly assigned into four training groups. During nine-weeks they completed three exercise sessions per week for one-hour. BDNF was analyzed before and after a GXT and WAnT in two stages: (stage 0—before training and stage 9—after nine weeks of training). At stage 0, an increase in BDNF concentration was observed in HIFT (33%; p < 0.05), HIPT (36%; p < 0.05) and HIIT (38%; p < 0.05) after GXT. Even though HIET showed an increase in BDNF (10%) this was not statistically significant (p > 0.05). At stage 9, higher BDNF levels after GXT were seen only for the HIFT (30%; p < 0.05) and HIIT (18%; p < 0.05) groups. Reduction in BDNF levels were noted after the WAnT in stage 0 for HIFT (− 47%; p < 0.01), HIPT (− 49%; p < 0.001), HIET (− 18%; p < 0.05)], with no changes in the HIIT group (− 2%). At stage 9, BDNF was also reduced after WAnT, although these changes were lower compared to stage 0. The reduced level of BDNF was noted in the HIFT (− 28%; p < 0.05), and HIPT (− 19%;p < 0.05) groups. Additionally, all groups saw an improvement in VO2max (8%; p < 0.001), while BDNF was also correlated with lactate and minute ventilation and selected WAnT parameters. Our research has shown that resting values of BDNF after nine weeks of different forms of high-intensity training (HIT) have not changed or were reduced. Resting BDNF measured at 3th (before GXT at stage 9) and 6th day after long lasting HITs (before WAnT at stage 9) did not differed (before GXT), but in comparison to the resting value before WAnT at the baseline state, was lower in three groups. It appears that BDNF levels after one bout of exercise is depended on duration time, intensity and type of test/exercise.

Comparative analysis of physiologic responses to three different maximal graded exercise test protocols in healthy women

1982 ◽  
Vol 103 (3) ◽  
pp. 363-373 ◽  
Author(s):  
Michael L. Pollock ◽  
Carl Foster ◽  
Donald Schmidt ◽  
Charles Hellman ◽  
A.C. Linnerud ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Exercise Test ◽  
Graded Exercise Test ◽  
Healthy Women ◽  
Graded Exercise ◽  
Physiologic Responses

Heart Rate Recovery in Healthy-Weight and Obese Children Following a Maximal Graded Exercise Test

2014 ◽  
Vol 46 ◽  
pp. 72
Author(s):  
Elizabeth A. Easley ◽  
W. Scott Black ◽  
Alison L. Bailey ◽  
Terry Lennie ◽  
Kelly D. Bradley ◽  
...  
Keyword(s):  
Heart Rate ◽  
Exercise Test ◽  
Heart Rate Recovery ◽  
Healthy Weight ◽  
Obese Children ◽  
Graded Exercise Test ◽  
Graded Exercise

Critical Speed as a Measure of Aerobic Fitness for Male Rugby Union Players

2019 ◽  
Vol 14 (4) ◽  
pp. 518-524 ◽  
Author(s):  
Mark Kramer ◽  
Mark Watson ◽  
Rosa Du Randt ◽  
Robert W. Pettitt
Keyword(s):  
Exercise Test ◽  
Critical Speed ◽  
Time Trial ◽  
Rugby Union ◽  
Graded Exercise Test ◽  
Graded Exercise ◽  
Level 1 ◽  
Rugby Players ◽  
Linear Correlations ◽  
Test Level

Purpose:To compare critical speed (CS) derived from all-out testing (AOT) for linear and shuttle running with metrics from a graded exercise test, the Yo-Yo Intermittent Recovery Test  Level 1 (YYIR1), and estimation of an 800-m-shuttle time trial.Methods:Twelve male rugby players completed a graded exercise test, the YYIR1, a linear AOT, shuttle AOTs of 25 and 50 m, and an 800-m-shuttle time trial consisting of 32 × 25-m shuttles.Results:Strong linear correlations were observed between maximum oxygen uptake () and CS (m·s−1) derived from the linear AOT (3.68 [0.62],r = .90,P < .01) and 50-m-shuttle AOT (3.19 [0.26],r = .83,P < .01). Conversely,showed lower correlations with speeds evoking CS from 25-m AOT (2.86 [0.18],r = .42,P = .18) and YYIR1 (4.36 [0.11],r = .55,P = .07). The 800-m time trial (213.58 [15.84] s) was best predicted using parameters from the 25-m AOT (r = .93, SEE = 6.60 s,P < .001).Conclusions:The AOT is a valuable method of assessing performance-specific fitness, with CS from linear and 50-m-shuttle AOTs being strong predictors of, rivaling metrics from the graded exercise test. The YYIR1 offered limited utility compared with the AOT method.

Interpretation of the Standard Error of Measurement when True Scores and Error Scores on Mental Tests are Not Independent

1966 ◽  
Vol 19 (2) ◽  
pp. 611-617 ◽  
Author(s):  
Donald W. Zimmerman ◽  
Richard H. Williams
Keyword(s):  
Standard Deviation ◽  
Standard Error ◽  
Test Score ◽  
Test Reliability ◽  
True Score ◽  
Observed Score ◽  
Standard Error Of Measurement ◽  
True Scores ◽  
Modified Equation ◽  
Error Of Measurement

It is shown that for the case of non-independence of true scores and error scores interpretation of the standard error of measurement is modified in two ways. First, the standard deviation of the distribution of error scores is given by a modified equation. Second, the confidence interval for true score varies with the individual's observed score. It is shown that the equation, so=√[(N−O/a]+[so2(roō−roo)/roō]̄, where N is the number of items, O is the individual's observed score, a is the number of choices per item, so2 is observed variance, roo is test reliability as empirically determined, and roō is reliability for the case where only non-independent error is present, provides a more accurate interpretation of the test score of an individual.

scholarly journals Autonomic cardiovascular response during and after a graded exercise test in concussed athletes and healthy controls

2021 ◽  
Vol 5 ◽  
pp. 205970022110448
Author(s):  
Alessandra Ventura ◽  
Fausto Romano ◽  
Mario Bizzini ◽  
Antonella Palla ◽  
Nina Feddermann
Keyword(s):  
Heart Rate ◽  
Cardiovascular System ◽  
Exercise Test ◽  
Cardiovascular Response ◽  
Heart Rate Recovery ◽  
Exercise Intolerance ◽  
Maximal Heart Rate ◽  
Healthy Controls ◽  
Graded Exercise Test ◽  
Graded Exercise

Objective Dysfunction of the autonomic cardiovascular system after a concussion is known to cause exercise intolerance due to symptoms exacerbation. The aim of this study was to compare athletes with symptoms of a sport-related concussion and healthy controls with regard to their heart rate during a graded exercise test and their heart rate recovery during the 5 min cool-down after the graded exercise test. Methods Sport-related concussion patients ( N = 61; 31% female) and controls ( N = 16; 50% female) participated in a graded exercise test on a cycle ergometer followed by 5 min active cool-down. Based on the results of graded exercise tests they were divided into four groups: (1) patients who reached the symptom threshold and had to stop the graded exercise test (symptom threshold; N = 39; 33.3% female), (2) patients with symptoms who finished the graded exercise test (S; N = 16; 25% female), (3) patients without symptoms (NS; N = 6; 33.3% female), (4) controls ( N = 16; 50% female). Main outcome measures Heart rate, severity of headache and dizziness during graded exercise test, heart rate recovery (median (heart rate recoveries/maximal heart rate) ± median absolute deviation (MAD)) 30, 60 and 300 s after the start of cool-down. Results Heart rate recovery at 30 s was significantly slower in symptom (0.95 ± 0.01) compared to all other groups ( p < 0.002; symptom threshold: 0.92 ± 0.02, NS: 0.91 ± 0.02, controls: 0.93 ± 0.02). Heart rate recovery at 60 s was significantly slower in symptom (0.90 ± 0.02) compared to the symptom threshold and controls ( p < 0.041; 0.86 ± 0.03, 0.85 ± 0.04). Heart rate recovery at 300 s was significantly slower in symptom threshold (0.72 ± 0.05) compared to controls ( p = 0.003; 0.66 ± 0.02). Conclusions Heart rate measurements in athletes with symptoms of sport-related concussion should be continued during cool-down after the graded exercise test, as dysfunction of the autonomic cardiovascular system might manifest also during cool-down.

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