Comparison Of Running Energy Reserve Index Of Sprint, Endurance And Untrained Participants

Gupta, Nidhi; Balasekaran, Govindasamy; Govindaswamy, Victor; Thor, Dianna

doi:10.1249/01.mss.0000479299.96008.b4

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“… Source of data: International Association of Athletics Federations (IAAF); %error: error in prediction of running performance; Spd pred /Spd act , ratio of predicted and actual speed. Table adapted from Gupta 32 . …”

Section: Resultsmentioning

confidence: 99%

“…b spd (m·s −2 ) and c spd (s −1 ) and b E (ml·kg −1 ·s −2 ) and c E (s −1 ) represent the curvature constants describing the decrement of running speed (m·s −1 ) and E (ml·kg −1 ·s −1 ) respectively with increasing duration ( t in seconds). b E /c E and b spd /c spd were calculated using equations which were previously developed 32 .…”

Section: Methodsmentioning

confidence: 99%

“…Time to attain (TA ) during T lim v and T lim Vsub%95 was calculated according to the primary criteria of achieving ≥ 95% 47 . If the athletes did not achieve the primary criteria of TA at T lim v , the secondary criteria to determine TA were employed 32 . Subsequently, time at maximal aerobic energy ( ) and T lim during T lim v were computed using Eqs.…”

Section: Methodsmentioning

confidence: 99%

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Running Energy Reserve Index (RERI) as a new model for assessment and prediction of world, elite, sub-elite, and collegiate running performances

Balasekaran

Loh

Boey

et al. 2023

Sci Rep

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The purpose of this study was to utilize the Running Energy Reserve Index (RERI) model and two-trial procedure to predict all-out athletic performances. Twenty-nine trained athletes tested for differences between RERIE and RERIspd (hypothesis 1). Six sprint trained (ST), six middle distance (MD), and six endurance trained (ET) athletes were selected to test for differences in the value of the constant. The prediction of all-out run performances using the RERI model (hypothesis 2) and two treadmill trials procedure (hypothesis 3) were tested on eighteen trained athletes. Lastly, three trained athletes were utilized to predict all-out running performances utilizing two track trials equation (hypothesis 3). RERIE and RERIspd were significantly different between ST, MD, and ET athletes. The RERIE model with a fixed cE value of 0.0185 s−1 predicted all-out running performances to within an average of 2.39 ± 2.04% (R2 = 0.99, nT = 252) for all athletes, with treadmill trials to within an average of 2.26 ± 1.89% (R2 = 0.99, nT = 203) and track trials to within an average of 2.95 ± 2.51% (R2 = 0.99, nT = 49). The two trials equations predicted all-out track performances to within errors of 2.43%. The RERI model may be accurate in determining running performances of 200 m and 5000 m, and treadmill performances ranging between 5 and 1340 s with a high level of accuracy. In addition, the two-trial procedure can be used to determine short and middle distance running performances of athletes and world-class runners.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%