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Maximilian Pelka, Alexander Ferrauti, Tim Meyer, Mark Pfeiffer and Michael Kellmann

A recovery process with optimal prerequisites that is interrupted is termed disrupted recovery. Whether this process has an influence on performance-related factors needs to be investigated. Therefore, the aim of this study was to examine how a short disturbance of a recovery phase is assessed and whether subsequent repeated-sprint performance is affected by it. A quasi-experimental 2 × 2-factor crossover design with 34 sport-science undergraduate students (age 20.3 ± 2.1 y) was applied. Factors were the type of intervention (power nap vs systematic breathing; between-subjects) and the experimental condition (disturbed vs nondisturbed break; within-subject). Repeated-sprint performance was measured through 6 × 4-s sprint protocols (with 20-s breaks) before and after a 25-min recovery break on 2 test days. Subjective evaluation of the interventions was measured through the Short Recovery and Stress Scale and a manipulation check assessing whether participants experienced the recovery phase as efficacious and pleasant. Regarding the objective data, no significant difference between sprint performances in terms of average peak velocity (m/s) on the treadmill was found. The manipulation check revealed that disturbed conditions were rated significantly lower than regular conditions in terms of appreciation, t 31 = 3.09, P = .01. Short disturbances of recovery do not seem to affect subsequent performance; nevertheless, participants assessed disturbed conditions more negatively than regular conditions. In essence, the findings indicate a negligible role of short interruptions on an objective level. Subjectively, they affected the performance-related assessment of the participants and should be treated with caution.

Open access

Amelia J. Carr, Philo U. Saunders, Laura A. Garvican-Lewis and Brent S. Vallance

Physiological data and training summary for the 20 months from January 2007 to August 2008. (A) Hb mass (g), (B) body mass (kg), (C) treadmill speed (km·h −1 ) at 4 mmol·L −1 blood [La − ], (D) VO 2 max (mL·kg −1 ·min −1 ), (E) 20-km performance time (min), and (F) mean weekly training volume (km). Gray bars

Open access

. Methods.— Twenty five trail runners (mean age 31.2 ±5.1 years) completed a standard graded exercise test on the treadmill for determination of maximal oxygen uptake (VO 2 max 59.5±5.2 ml·kg -1. min -1 ) and LT. Values and velocities for aerobic LT (AET), individual anaerobic LT (IAT according to Dickhuth

Open access

Ching T. Lye, Swarup Mukherjee and Stephen F. Burns

Testing Peak oxygen consumption was determined using a modified continuous walking ramp protocol ( Balke & Ware, 1959 ) set at 6.0–6.5 km/hr. Initial treadmill gradient was 1% and increased by 1% per minute until voluntary exhaustion. Expired air was measured using a metabolic cart (Parvomedics MMS-2400

Open access

Louise M. Burke, Asker E. Jeukendrup, Andrew M. Jones and Martin Mooses

 al. ( 2018 ) • Moderately trained distance runners (6 M, 4F) • Crossover design with caffeine vs. placebo vs. control • 3 mg/kg or 6 mg/kg taken 60-min pretrial • 10-km treadmill TT in hot conditions (30°C and 50% rh) • No intake during run No benefit detected No difference in 10-km time (53.2 ± 8.2; 53

Open access

Peter Peeling, Martyn J. Binnie, Paul S.R. Goods, Marc Sim and Louise M. Burke

—for instance, during activities such as treadmill running to exhaustion ( French et al., 1991 ) and resistance training exercise repetitions to failure ( Duncan et al., 2013 ). Furthermore, ergogenic benefits are also widely reported during competitive situations, such as real or laboratory-simulated time

Open access

Trent Stellingwerff, Ingvill Måkestad Bovim and Jamie Whitfield

Shannon et al. ( 2017a ) n  = 8 Trained runners or triathletes/double-blind placebo-controlled crossover 140-ml BRJ (12.5 mmol·NO 3 − ) taken 3 hr prior to exercise 1,500-m TT (treadmill) NO 3 − : 319.6 ± 36.2 −1.87* PLA: 325.7 ± 38.8 s BA supplementation Ducker et al. ( 2013 ) n  = 18 Recreational club

Open access

Sergei Iljukov, Jukka-Pekka Kauppi, Arja L.T. Uusitalo, Juha E. Peltonen and Yorck O. Schumacher

.1249/00005768-198202000-00346 19. Williams MH , Wesseldine S , Somma T , Schuster R . The effects of induced erythrocythemia upon 5-mile treadmill run time . Med Sci Sports Exerc . 1981 ; 13 ( 3 ): 169 – 175 . PubMed ID: 7253868 doi: 10.1249/00005768-198103000-00004 20. Pandolf KB , Young AJ , Sawka MN

Open access

running bout on a treadmill. A total of 29 male (age:26.2±6.2 yrs) participated in this study. Participants were asked to wear the ActiGraph GT3X-BT accelerometers on their left and right wrists, waist, right ankle, and right upper arm. Participants walked or run for two minutes for each speed (2

Open access

Ricardo J.S. Costa, Beat Knechtle, Mark Tarnopolsky and Martin D. Hoffman

. , Mullen , A.B. , Boyd , M. , Spendiff , O. , & Watson , D.G. ( 2018 ). Untargeted metabolomics profiling of an 80.5 km simulated treadmill ultramarathon . Metabolites, 8 ( 1 ), 14 . doi:10.3390/metabo8010014 10.3390/metabo8010014 Impey , S.G. , Hammond , K.M. , Shepherd , S