Pacing Strategy During 24-Hour Ultramarathon-Distance Running

2017 ◽  
Vol 12 (5) ◽  
pp. 590-596 ◽  
Author(s):  
Arthur H. Bossi ◽  
Guilherme G. Matta ◽  
Guillaume Y. Millet ◽  
Pedro Lima ◽  
Leonardo C. Pertence ◽  
...  
Keyword(s):  
Herd Behavior ◽  
Age Group ◽  
Distance Running ◽  
Running Speed ◽  
Running Time ◽  
Pacing Strategy ◽  
Performance Group ◽  
General Behavior ◽  
Overall Performance ◽  
Shaped Pattern

Purpose:To describe pacing strategy in a 24-h running race and its interaction with sex, age group, athletes’ performance group, and race edition.Methods:Data from 398 male and 103 female participants of 5 editions were obtained based on a minimum 19.2-h effective-running cutoff. Mean running speed from each hour was normalized to the 24-h mean speed for analyses.Results:Mean overall performance was 135.6 ± 33.0 km with a mean effective-running time of 22.4 ± 1.3 h. Overall data showed a reverse J-shaped pacing strategy, with a significant reduction in speed from the second-to-last to the last hour. Two-way mixed ANOVAs showed significant interactions between racing time and both athlete performance group (F = 7.01, P < .001, ηp2 = .04) and race edition (F = 3.01, P < .001, ηp2 = .02) but not between racing time and either sex (F = 1.57, P = .058, ηp 2 < .01) or age group (F = 1.25, P = .053, ηp2 = .01). Pearson product–moment correlations showed an inverse moderate association between performance and normalized mean running speed in the first 2 h (r = –.58, P < .001) but not in the last 2 h (r = .03, P = .480).Conclusions:While the general behavior represents a rough reverse J-shaped pattern, the fastest runners start at lower relative intensities and display a more even pacing strategy than slower runners. The “herd behavior” seems to interfere with pacing strategy across editions, but not sex or age group of runners.

Assessing Maximal Sprinting Speed in Highly Trained Young Soccer Players

2012 ◽  
Vol 7 (1) ◽  
pp. 76-78 ◽  
Author(s):  
Martin Buchheit ◽  
Ben M. Simpson ◽  
Esa Peltola ◽  
Alberto Mendez-Villanueva
Keyword(s):  
Soccer Players ◽  
Football Players ◽  
Age Group ◽  
Running Speed ◽  
Main Determinant ◽  
Accurate Evaluation ◽  
Sprint Speed ◽  
Sprinting Speed ◽  
Split Time

The aim of the present study was to locate the fastest 10-m split time (Splitbest) over a 40-m sprint in relation to age and maximal sprint speed in highly trained young soccer players. Analyses were performed on 967 independent player sprints collected in 223 highly trained young football players (Under 12 to Under 18). The maximal sprint speed was defined as the average running speed during Splitbest. The distribution of the distance associated with Splitbest was affected by age (X23 = 158.7, P < .001), with the older the players, the greater the proportion of 30-to-40-m Splitbest. There was, however, no between-group difference when data were adjusted for maximal sprint speed. Maximal sprint speed is the main determinant of the distance associated with Splitbest. Given the important disparity in Splitbest location within each age group, three (U12-U13) to two (U14-U18) 10-m intervals are still required to guarantee an accurate evaluation of maximal sprint speed in young players when using timing gates.

scholarly journals VO2 Attained During Treadmill Running: The Influence of a Specialist (400-m or 800-m) Event

2007 ◽  
Vol 2 (2) ◽  
pp. 128-136 ◽  
Author(s):  
David V.B. James ◽  
Leigh E. Sandals ◽  
Stephen B. Draper ◽  
Sara Maldonado-Martín ◽  
Dan M. Wood
Keyword(s):  
Treadmill Running ◽  
Lower Percentage ◽  
Distance Running ◽  
Pacing Strategy

Purpose:Previously it has been observed that, in well-trained 800-m athletes, VO2max is not attained during middle-distance running events on a treadmill, even when a race-type pacing strategy is adopted. Therefore, the authors investigated whether specialization in a particular running distance (400-m or 800-m) influences the VO2 attained during running on a treadmill.Methods:Six 400-m and six 800-m running specialists participated in the study. A 400-m trial and a progressive test to determine VO2max were completed in a counterbalanced order. Oxygen uptakes attained during the 400-m trial were compared to examine the influence of specialist event.Results:A VO2 plateau was observed in all participants for the progressive test, demonstrating the attainment of VO2max. The VO2max values were 56.2 ± 4.7 and 69.3 ± 4.5 mL · kg−1 · min−1 for the 400-m- and 800-m-event specialists, respectively (P = .0003). Durations for the 400-m trial were 55.1 ± 4.2 s and 55.8 ± 2.3 s for the 400-m- and 800-m-event specialists, respectively. The VO2 responses achieved were 93.1% ± 2.0% and 85.7% ± 3.0% VO2max for the 400-m- and 800-m-event specialists, respectively (P = .001).Conclusions:These results demonstrate that specialist running events do appear to influence the percentage of VO2max achieved in the 400-m trial, with the 800-m specialists attaining a lower percentage of VO2max than the 400-m specialists. The 400-m specialists appear to compensate for a lower VO2max by attaining a higher percentage VO2max during a 400-m trial.

Effects of Conducting Instruction on the Musical Performance of Beginning Band Students

1997 ◽  
Vol 45 (2) ◽  
pp. 295-305 ◽  
Author(s):  
Steven N. Kelly
Keyword(s):  
Group Performance ◽  
Dynamic Performance ◽  
Control Group ◽  
Beginning Band ◽  
Performance Group ◽  
Rhythm Reading ◽  
Band Students ◽  
Overall Performance ◽  
Rhythmic Performance ◽  
And Control

The purpose of this study was to investigate the effects of conducting instruction on 151 beginning band students' individual rhythmic performance, group rhythmic performance, group performance of legato and staccato, and group performance of phrasing and dynamics. Eight beginning band ensembles, representing diverse cultural and ethnic backgrounds, were randomly selected for the study. Beginning band students and their ensembles were randomly assigned to experimental and control groups. After all subjects were pretested, the experimental bands received 10 minutes of basic conducting instruction per class during a 10-week period. Posttest results demonstrated that individuals in the experimental bands improved significantly more than did individuals in the control bands (p < .001) in their rhythmic performance. Bands in the experimental group improved their rhythm-reading and phrasing abilities (p < .01) more than bands in the control group. No differences were found with regard to legato and staccato, dynamic performance, or overall performance. It was concluded that conducting was a useful tool in teaching rhythm and phrasing in an ensemble setting.

scholarly journals The Effect of a Second Runner on Pacing Strategy and RPE During a Running Time Trial

2012 ◽  
Vol 7 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Deryn Bath ◽  
Louise A. Turner ◽  
Andrew N. Bosch ◽  
Ross Tucker ◽  
Estelle V. Lambert ◽  
...  
Keyword(s):  
Heart Rate ◽  
Time Trial ◽  
Subjective Assessment ◽  
Running Speed ◽  
Male Athletes ◽  
Pacing Strategy ◽  
Significant Difference ◽  
The Subject ◽  
Performance Times ◽  
Subject Performance

Purpose:The aim of this study was to examine performance, pacing strategy and perception of effort during a 5 km time trial while running with or without the presence of another athlete.Methods:Eleven nonelite male athletes participated in five 5 km time trials: two self-paced, maximal effort trials performed at the start and end of the study, and three trials performed in the presence of a second runner. In the three trials, the second runner ran either in front of the subject, behind the subject, or next to the subject. Performance times, heart rate, RPE, and a subjective assessment of the effect of the second runner on the athlete’s performance were recorded during each of the trials.Results:There was no significant difference in performance times, heart rate or RPE between any of the five trials. Running speed declined from the 1st to the 4th kilometer and then increased for the last kilometer in all five trials. Following the completion of all trials, 9 of the 11 subjects perceived it to be easier to complete the 5 km time trial with another runner in comparison with running alone.Conclusions:While the athletes perceived their performance to be improved by the presence of another runner, their pacing strategy, running speed, heart rate and RPE were not significantly altered. These findings indicate that an athlete’s subconscious pacing strategy is robust and is not altered by the presence of another runner.

scholarly journals Pacing strategy during cross-country short track mountain bike event

2021 ◽  
Author(s):  
Rhaí André Arriel ◽  
Moacir Marocolo
Keyword(s):  
Mountain Biking ◽  
Mountain Bike ◽  
Pacing Strategy ◽  
Performance Group ◽  
Technical Ability ◽  
Group 4 ◽  
Cross Country ◽  
Main Determinants ◽  
Race Performance ◽  
Group 1

Abstract Although in recent years, cross-country short track (XCC) mountain biking became more popular among athletes and coaches, no study has analyzed the main determinants of performance in this modality. Thus, this study investigates performance and pacing profile of professional cross-country cyclists on different technical sections during a XCC competition. Twenty male professional cross-country cyclists (25.9 ± 5.4 years; eight under 23 and twelve elite), performed 6 laps of a XCC 2020 UCI International Mountain Bike Cup. Average speed (lap by lap and in five different technical sections of the track) were analyzed according to athletes, categories and race performance group. For race performance analyses, cyclists were divided into 4 groups (1-4; n=5 each), according to total race time, presenting group 1 the better performance. In general, XCC athletes adopted a positive pacing profile during competition but no differences in speed over the race or in each circuit section were found between categories (p > 0.05). Race performance groups adopted different pacing profiles: group 1 maintained a more even pacing profile, groups 2 and 3 adopted a positive pacing profile and group 4 adopted a reverse J-shaped pacing profile. No difference in speed was found between categories across track sections. Group 1 was 17.9% and 8.3% faster than the group 4 (p < 0.05) on the non-technical uphill section and more technical uphill/downhill section, respectively. A general positive pacing profile during XCC is adopted by the mainly of athletes and this choice of pacing profile is influenced by race performance, regardless of cyclist category. Furthermore, physical fitness is more relevant than technical ability in this competition.

scholarly journals Pacing Profiles of Middle-Distance Running World Records in Men and Women

2021 ◽  
Vol 18 (23) ◽  
pp. 12589
Author(s):  
Arturo Casado ◽  
Fernando González-Mohíno ◽  
José María González-Ravé ◽  
Daniel Boullosa
Keyword(s):  
Distance Running ◽  
Men And Women ◽  
The Third ◽  
Pacing Strategy ◽  
World Records

The aims of the current study were to compare the pacing patterns of all-time 800 m, 1500 m and mile running world records (WRs) and to determine whether differences exist between sexes, and if 800 m and 1500 m WRs were broken during championship or meet races. Overall and lap times for men and women’s 800 m, 1500 m, and mile WRs from World Athletics were collected when available and subsequently compared. A fast initial 200 m segment and a decrease in speed throughout was found during 800 m WRs. Accordingly, the first 200 m and 400 m were faster than the last 200 m and 400 m, respectively (p < 0.001, 0.77 ≤ ES ≤ 1.86). The first 400 m and 409 m for 1500 m and mile WRs, respectively, were faster than the second lap (p < 0.001, 0.74 ≤ ES ≤ 1.46). The third 400 m lap was slower than the last 300 m lap and 400 m lap for 1500 m and mile WRs, respectively (p < 0.001, 0.48 ≤ ES ≤ 1.09). No relevant sex-based differences in pacing strategy were found in any event. However, the first 409 m lap was faster than the last 400 m lap for men but not for women during mile WRs. Women achieved a greater % of WRs than men during championships (80% vs. 45.83% in the 800 m, and 63.63% vs. 31.58% in the 1500 m, respectively). In conclusion, positive, reverse J-shaped and U-shaped pacing profiles were used to break 800 m, men’s mile and 1500 m, and women’s mile WRs, respectively. WRs are more prone to be broken during championships by women than men.

scholarly journals The Impact of Wrist Percooling on Physiological and Perceptual Responses during a Running Time Trial Performance in the Heat

2020 ◽  
Vol 17 (20) ◽  
pp. 7559
Author(s):  
Kelsey Denby ◽  
Ronald Caruso ◽  
Emily Schlicht ◽  
Stephen J. Ives
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Thermal Sensation ◽  
Maximal Oxygen Consumption ◽  
Time Trial ◽  
Rating Of Perceived Exertion ◽  
Running Speed ◽  
Running Time ◽  
The Impact ◽  
Trial Performance

Environmental heat stress poses significant physiological challenge and impairs exercise performance. We investigated the impact of wrist percooling on running performance and physiological and perceptual responses in the heat. In a counterbalanced design, 13 trained males (33 ± 9 years, 15 ± 7% body fat, and maximal oxygen consumption, VO2max 59 ± 5 mL/kg/min) completed three 10 km running time trials (27 °C, 60% relative humidity) while wearing two cooling bands: (1) both bands were off (off/off), (2) one band on (off/on), (3) both bands on (on/on). Heart rate (HR), HR variability (HRV), mean arterial pressure (MAP), core temperature (TCO), thermal sensation (TS), and fatigue (VAS) were recorded at baseline and recovery, while running speed (RS) and rating of perceived exertion (RPE) were collected during the 10 km. Wrist cooling had no effect (p > 0.05) at rest, except modestly increased HR (3–5 ∆beats/min, p < 0.05). Wrist percooling increased (p < 0.05) RS (0.25 ∆mi/h) and HR (5 ∆beats/min), but not TCO (∆ 0.3 °C), RPE, or TS. Given incomplete trials, the distance achieved at 16 min was not different between conditions (off/off 1.96 ± 0.16 vs. off/on 1.98 ± 0.19 vs. on/on 1.99 ± 0.24 miles, p = 0.490). During recovery HRV, MAP, or fatigue were unaffected (p > 0.05). We demonstrate that wrist percooling elicited a faster running speed, though this coincides with increased HR; although, interestingly, sensations of effort and thermal comfort were unaffected, despite the faster speed and higher HR.

scholarly journals Listening to Preferred Music Improved Running Performance without Changing the Pacing Pattern during a 6 Minute Run Test with Young Male Adults

Sports ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 61
Author(s):  
Nidhal Jebabli ◽  
Urs Granacher ◽  
Mohamed Amin Selmi ◽  
Badriya Al-Haddabi ◽  
David G. Behm ◽  
...  
Keyword(s):  
Blood Lactate ◽  
Exercise Performance ◽  
Perceived Exertion ◽  
Young Male ◽  
Running Speed ◽  
Positive Effects ◽  
Pacing Strategy ◽  
Constant Work Rate ◽  
Lactate Levels ◽  
Run Test

Several studies have investigated the effects of music on both submaximal and maximal exercise performance at a constant work-rate. However, there is a lack of research that has examined the effects of music on the pacing strategy during self-paced exercise. The aim of this study was to examine the effects of preferred music on performance and pacing during a 6 min run test (6-MSPRT) in young male adults. Twenty healthy male participants volunteered for this study. They performed two randomly assigned trials (with or without music) of a 6-MSPRT three days apart. Mean running speed, the adopted pacing strategy, total distance covered (TDC), peak and mean heart rate (HRpeak, HRmean), blood lactate (3 min after the test), and rate of perceived exertion (RPE) were measured. Listening to preferred music during the 6-MSPRT resulted in significant TDC improvement (Δ10%; p = 0.016; effect size (ES) = 0.80). A significantly faster mean running speed was observed when listening to music compared with no music. The improvement of TDC in the present study is explained by a significant overall increase in speed (main effect for conditions) during the music trial. Music failed to modify pacing patterns as suggested by the similar reversed “J-shaped” profile during the two conditions. Blood-lactate concentrations were significantly reduced by 9% (p = 0.006, ES = 1.09) after the 6-MSPRT with music compared to those in the control condition. No statistically significant differences were found between the test conditions for HRpeak, HRmean, and RPE. Therefore, listening to preferred music can have positive effects on exercise performance during the 6-MSPRT, such as greater TDC, faster running speeds, and reduced blood lactate levels but has no effect on the pacing strategy.

scholarly journals Number of finishers and performance of age group women and men in long-distance running: comparison among 10km, half-marathon and marathon races in Oslo

2020 ◽  
Vol 29 (1) ◽  
pp. 56-66 ◽  
Author(s):  
Pantelis Theodoros Nikolaidis ◽  
Ivan Cuk ◽  
Vicente Javier Clemente-Suárez ◽  
Elias Villiger ◽  
Beat Knechtle
Keyword(s):  
Age Group ◽  
Distance Running ◽  
Long Distance ◽  
Long Distance Running ◽  
And Performance
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