Anaerobic Speed Reserve: A Key Component of Elite Male 800-m Running

2019 ◽  
Vol 14 (4) ◽  
pp. 501-508 ◽  
Author(s):  
Gareth N. Sandford ◽  
Sian V. Allen ◽  
Andrew E. Kilding ◽  
Angus Ross ◽  
Paul B. Laursen
Keyword(s):  
Confidence Limits ◽  
Performance Time ◽  
Maximal Aerobic Speed ◽  
Practical Tool ◽  
Individualized Training ◽  
The Difference ◽  
Performance Times ◽  
Negative Relationships ◽  
Reserve Ratio ◽  
Race Performance

Purpose: In recent years (2011–2016), men’s 800-m championship running performances have required greater speed than previous eras (2000–2009). The “anaerobic speed reserve” (ASR) may be a key differentiator of this performance, but profiles of elite 800-m runners and their relationship to performance time have yet to be determined. Methods: The ASR—determined as the difference between maximal sprint speed (MSS) and predicted maximal aerobic speed (MAS)—of 19 elite 800- and 1500-m runners was assessed using 50-m sprint and 1500-m race performance times. Profiles of 3 athlete subgroups were examined using cluster analysis and the speed reserve ratio (SRR), defined as MSS/MAS. Results: For the same MAS, MSS and ASR showed very large negative (both r = −.74 ± .30, ±90% confidence limits; very likely) relationships with 800-m performance time. In contrast, for the same MSS, ASR and MAS had small negative relationships (both r = −.16 ± .54; possibly) with 800-m performance. ASR, 800-m personal best, and SRR best defined the 3 subgroups along a continuum of 800-m runners, with SRR values as follows: 400–800 m ≥ 1.58, 800 m ≤ 1.57 to ≥ 1.48, and 800–1500 m ≤ 1.47 to ≥ 1.36. Conclusion: MSS had the strongest relationship with 800-m performance, whereby for the same MSS, MAS and ASR showed only small relationships to differences in 800-m time. Furthermore, the findings support the coaching observation of three 800-m subgroups, with the SRR potentially representing a useful and practical tool for identifying an athlete’s 800-m profile. Future investigations should consider the SRR framework and its application for individualized training approaches in this event.

Breaking the Myth That Relay Swimming Is Faster Than Individual Swimming

2016 ◽  
Vol 11 (3) ◽  
pp. 410-413 ◽  
Author(s):  
Sabrina Skorski ◽  
Naroa Etxebarria ◽  
Kevin G. Thompson
Keyword(s):  
Olympic Games ◽  
Swimming Performance ◽  
Individual Performance ◽  
Link Type ◽  
The Difference ◽  
Performance Times ◽  
Race Performance ◽  
Split Time ◽  
Relay Race

Purpose:To investigate if swimming performance is better in a relay race than in the corresponding individual race.Methods:The authors analyzed 166 elite male swimmers from 15 nations in the same competition (downloaded from www.swimrankings.net). Of 778 observed races, 144 were Olympic Games performances (2000, 2004, 2012), with the remaining 634 performed in national or international competitions. The races were 100-m (n = 436) and 200-m (n = 342) freestyle events. Relay performance times for the 2nd–4th swimmers were adjusted (+ 0.73 s) to allow for the “flying start.”Results:Without any adjustment, mean individual relay performances were significantly faster for the first 50 m and overall time in the 100-m events. Furthermore, the first 100 m of the 200-m relay was significantly faster (P > .001). During relays, swimmers competing in 1st position did not show any difference compared with their corresponding individual performance (P > .16). However, swimmers competing in 2nd–4th relay-team positions demonstrated significantly faster times in the 100-m (P < .001) and first half of the 200-m relays than in their individual events (P < .001, ES: 0.28–1.77). However, when finishing times for 2nd–4th relay team positions were adjusted for the flying start no differences were detected between relay and individual race performance for any event or split time (P > .17).Conclusion:Highly trained swimmers do not swim (or turn) faster in relay events than in their individual races. Relay exchange times account for the difference observed in individual vs relay performance.

Responses to Different Intermittent Runs at Velocity Associated With

2003 ◽  
Vol 28 (3) ◽  
pp. 410-423 ◽  
Author(s):  
Gregoire P. Millet ◽  
Robin Candau ◽  
Philippe Fattori ◽  
Frank Bignet ◽  
Alain Varray
Keyword(s):  
Maximal Oxygen Consumption ◽  
Interval Training ◽  
The Other ◽  
Time To Exhaustion ◽  
Interval Duration ◽  
Peak Heart Rate ◽  
Incremental Test ◽  
Performance Time ◽  
The Difference

The purposes of this study were (1) to determine the time sustained above 90% of [Formula: see text] in different intermittent running sessions having the same overall time run at the velocity ([Formula: see text]) associated with [Formula: see text] and (2) to test whether the use of a fixed-fraction (50%) of the time to exhaustion at [Formula: see text] (Tlim) leads to longer time spent at a high percentage of [Formula: see text]. Subjects were 8 triathletes who, after determination of their track [Formula: see text] and Tlim, performed three intermittent running sessions alternating the velocity between 100% and 50% of [Formula: see text], termed 30s ∼ 30s, 60s ∼ 30s, and 1/2Tlim ∼ 1/2Tlim, where the overall time at [Formula: see text] was similar (= 3 × Tlim). [Formula: see text] achieved in the incremental test was 71.1 ± 3.9 mlùmin−1•kg−1 and Tlim was 236 ± 49 s. [Formula: see text] and peak heart rate were lower in 30s ∼ 30s than in the other intermittent runs. The time spent above 90% of [Formula: see text] was significantly (p < 0.001) longer either in 60s ∼ 30s (531 ± 187 s) or in 1/2Tlim ∼ 1/2Tlim (487 ± 176 s) than in 30s ∼ 30s (149 ± 33 s). Tlim was negatively correlated with the time (in % of Tlim) spent above 90% of [Formula: see text] in 30s ∼ 30s (r = -0.75, p < 0.05). Tlim was also correlated with the difference of time spent over 90% of [Formula: see text] between 60s ∼ 30s and 30s ∼ 30s (r = 0.77, p < 0.05), or between 1/2Tlim ∼ 1/2Tlim and 30s ∼ 30s (r = 0.97, p < 0.001). The results confirm that [Formula: see text] and Tlim are useful for setting interval-training sessions. However, the use of an individualized fixed-fraction of Tlim did not lead to longer time spent at a high percentage of [Formula: see text] compared to when using a fixed work-interval duration. Key words: interval-training, maximal oxygen consumption, performance, time to exhaustion

Do Large Shared Displays Facilitate Group Effort?

1965 ◽  
Vol 7 (3) ◽  
pp. 237-244 ◽  
Author(s):  
Sidney L. Smith ◽  
Benjamin C. Duggar
Keyword(s):  
Visual Angle ◽  
Group Performance ◽  
Group Interaction ◽  
Small Individual ◽  
Performance Time ◽  
Large Display ◽  
Error Frequency ◽  
Significant Difference ◽  
Group Members ◽  
The Difference

Twelve four-man groups searched and counted visually displayed items. In one session, they used a large display shared in common by the group members; in another session, separate smaller displays were viewed individually. Information was presented under conditions of equal visual angle, so that these two display modes were logically equivalent. Performance was 15 percent faster with the large group display than with the small individual displays. There was no significant difference in error frequency. Some subjects preferred the large display, some the small. In a supplementary study, running individual subjects rather than groups, there were no differences in speed or accuracy between the display modes. This suggests that the difference in group performance time resulted from some facilitating effect of the shared display on the process of group interaction.

THE VALUE OF TREADMILL EXERCISE TEST PARAMETERS TO PREDICT THE MARATHON PERFORMANCE OF YOUNG AND MIDDLE-AGED RECREATIONAL ATHLETES IN CHINA

2020 ◽  
Vol 20 (08) ◽  
pp. 2050057
Author(s):  
SONG-CUI SHEN ◽  
YING-JIA XU ◽  
WEN-XIA FU ◽  
YAN-JIE LI ◽  
JING-JUAN HUANG ◽  
...  
Keyword(s):  
Exercise Test ◽  
Treadmill Exercise ◽  
Treadmill Exercise Test ◽  
Exercise Time ◽  
Recreational Athletes ◽  
Performance Time ◽  
Total Exercise Time ◽  
And Performance ◽  
Performance Times ◽  
Marathon Performance

Objectives: This study will evaluate the results of parameters measured during a treadmill exercise test to predict marathon performances. Methods: We studied 171 Chinese recreational athletes who participated in marathons or half-marathons (42.2[Formula: see text]k or 21.1[Formula: see text]k, respectively) between October 2016 and December 2017. The participants completed a survey that included questions about demographics and training, and they underwent a treadmill exercise test according to the Bruce protocol. The number of years in training, mean weekly hours of training, mean weekly training volume, and performance time in subsequent marathon events were recorded and analyzed in this study. Results: The total exercise times achieved on the treadmill test were significantly longer for men compared to women ([Formula: see text]). The performance times in the half-marathons were significantly shorter for men compared to women ([Formula: see text]). Training volume was the only independent predictor of total exercise time on the treadmill and performance time in marathons and half-marathons (all [Formula: see text]). The value of the total exercise time on the treadmill to predict performance times in half-marathons ([Formula: see text]) was superior to full marathons ([Formula: see text]) and significantly better in study subjects aged 30–39 years ([Formula: see text], [Formula: see text]) and 40–49 years ([Formula: see text], [Formula: see text]) compared to study subjects aged 20–29 years and 50–59 years. The percentage of decrease in the maximal heart rate (MHR) at the end of one minute of recovery time was negatively correlated with performance times in marathons. Conclusions: The total exercise time achieved during an exhaustive treadmill exercise test and percentage of decrease in the MHR at the end of one minute of recovery time are accessible parameters that can help athletes manage their expectations and adjust their training plans. A large study that includes additional countries is needed to confirm the value of treadmill exercise test results for predicting marathon performance.

Is Initial (24 Hours) Lavage Necessary in Treatment of CAPD Peritonitis?

1991 ◽  
Vol 11 (1) ◽  
pp. 38-42 ◽  
Author(s):  
Ellen Ejlersen ◽  
Lisbet Brandi ◽  
Hans Løkkegaard ◽  
Jørgen Ladefoged ◽  
Rena Kopp ◽  
...  
Keyword(s):  
Randomized Trial ◽  
Cell Count ◽  
Success Rate ◽  
Clinical Benefit ◽  
White Cell Count ◽  
Treatment Success ◽  
Confidence Limits ◽  
Acute Peritonitis ◽  
Profound Hypotension ◽  
The Difference

A randomized trial was conducted to examine the influence of initiallavage on treatment of CAPD peritonitis. Patients with hypotension and shock were excluded from the trial. Thirty -six CAPD patients with acute peritonitis were randomized to treatment with intraperitoneal antibiotics including either initial24 hours lavage before resumption of routine CAPD schedule (prior standard approach) or continued prolonged exchanges as in routine CAPD schedule. Median time to solved infection (normalization of white cell count in dialysis effluent) was identical (3 days) in the two groups. Treatment success rate was found to be 72% in the group with initial lavage and 89% in the group with prolonged exchanges. The difference in treatment success (17%) in favour of continued CAPD schedule was not found significant (95% confidence limits −1% to 35%). The results suggest lavage to be of no clinical benefit in treatment of CAPD peritonitis in patients without profound hypotension and shock.

scholarly journals Competitive Performance, Training Load and Physiological Responses During Tapering in Young Swimmers

2013 ◽  
Vol 38 ◽  
pp. 125-134 ◽  
Author(s):  
Argyris G. Toubekis ◽  
Evgenia Drosou ◽  
Vassilios Gourgoulis ◽  
Savvas Thomaidis ◽  
Helen Douda ◽  
...  
Keyword(s):  
Effect Size ◽  
Training Load ◽  
Confidence Limits ◽  
Competitive Performance ◽  
Performance Training ◽  
Performance Improvements ◽  
Hand Grip ◽  
Baseline Test ◽  
The Difference ◽  
And Performance

Abstract The study examined the changes of training load and physiological parameters in relation to competitive performance during a period leading to a national championship. The training content of twelve swimmers (age: 14.2±1.3 yrs) was recorded four weeks before the national championship (two weeks of normal training and two weeks of the taper). The training load was calculated: i) by the swimmer’s session-RPE score (RPE-Load), ii) by the training intensity levels adjusted after a 7x200-m progressively increasing intensity test (LA-Load). Swimmers completed a 400- m submaximal intensity test, a 15 s tethered swimming and hand-grip strength measurements 34-35 (baseline: Test 1), 20-21 (before taper: Test 2) and 6-7 (Test 3) days before the national championship. Performance during the national championship was not significantly changed compared to season best (0.1±1.6%; 95% confidence limits: -0.9, 1.1%; Effect Size: 0.02, p=0.72) and compared to performance before the start of the two-week taper period (0.9±1.7%; 95% confidence limits: 0.3, 2.1%; Effect size: 0.12, p=0.09). No significant changes were observed in all measured physiological and performance related variables between Test 1, Test 2, and Test 3. Changes in RPE-Load (week-4 vs. week-1) were correlated with changes in performance (r=0.63, p=0.03) and the RPE-Load was correlated with the LALoad (r=0.80, p=0.01). The estimation of the session-RPE training load may be helpful for taper planning of young swimmers. Increasing the difference between the normal and last week of taper training load may facilitate performance improvements.

Fibrinogen In Liver Cirrhosis. Lack Of Correlation Between Soluble Fibrin Monomer Complexes And Fibrinopeptide A Levels

1981 ◽  
Author(s):  
S Coccheri ◽  
P M Mannucci ◽  
G Palareti ◽  
M Cattaneo ◽  
M Poggi ◽  
...  
Keyword(s):  
Liver Cirrhosis ◽  
Liver Biopsy ◽  
Half Life ◽  
Collaborative Study ◽  
Gel Filtration ◽  
Fibrinopeptide A ◽  
Confidence Limits ◽  
Parametric Test ◽  
Soluble Fibrin ◽  
The Difference

In this collaborative study we have investigated the coexistence of two different markers of fibrinogen to fibrin conversion in 19 patients with liver cirrhosis, confirmed with liver biopsy, and classified according to standardized criteria into 11 moderate and 8 severe cases. Sepharose gel filtration of plasma allowed separation of fibrinogen-like material (FLM) into high m.w. (HMWF), peak, and low m.w. (LMWF) fractions, quantitated as percent (w/w) of the total FLM eluted. FPA was assayed radioimmunologically.HMWF was markedly increased in the whole group of cirrhotics (av ± SD 10.4% ± 2.77) , and in both moderate and severe patients, vs controls (6.9% ± 1.39; n=16; p < 0.01 for each comparison). LMWF was moderately increased in patients (6.8% ± l.84) vs controls (5.3% ± 1.35; p < 0.05).FPA levels (controls: median (m) ng/ml 2.2; m confidence limits (mcl) 1.4-2.5; range (r) < 0.6 to 4.1) showed an increase in cirrhotics (m 2.8; mcl 2.64-3.35, r<0.6 to 94) but the difference was not statistically significant using a non-parametric test. However, in 6 out of 19 patients FPA values exceeded av ± 2 SD of controls (av ± SD 2.05 ± 1.15). No significant correlations were found between FPA and HMWF or LMWF levels.The lack of correlation between FPA and HMWF although possibly related to half-life differences, suggests that, besides thrombin effect, other mechanisms for excess formation and/or accumulation of HMWF, as dysproteinaemia, dys- fibrinogenaemia, or impaired clearance, should be considered.

Managerial Implications of Extended Breaks on Predicting Performance Times for Industrial Tasks

1992 ◽  
Vol 36 (11) ◽  
pp. 825-828
Author(s):  
Robert Yearout ◽  
Darlene Hewitt ◽  
Donald Lisnerski ◽  
Kelli Sprague
Keyword(s):  
Cognitive Task ◽  
Correlation Coefficients ◽  
Exponential Model ◽  
Multiple Correlation ◽  
Performance Time ◽  
Predicting Performance ◽  
Managerial Implications ◽  
Multiple Correlation Coefficients ◽  
Performance Times ◽  
Break Period

Production Managers and Industrial Engineers have relied upon learning (progress) curves for over fifty years. However, until recently only the impacts of extended breaks on performance time predictions were considered. This study examined the effect of breaks on two typical simulated industrial tasks. Fifty-eight subjects performed either the traditional peg-board, a low cognitive task, or a spreadsheet graphic, a moderately-high cognitive task, for 28 iterations. Upon completion of the assigned task, a break period that ranged from 2 to 83 days was randomly assigned to each subject. After the break, subjects replicated their assigned task. Regression analysis was used to select the best model to predict the performance time for the first iteration after a break. An exponential model was selected for the low cognitive task and a multiple linear model for the moderately-high cognitive task. Both models selected were no-intercept models and had multiple correlation coefficients of 0.729 and 0.897 respectively. The ability to accurately predict the first iteration time after a break is a key element in calculating time lost to forgetting and determining the forgetting function. These models may be useful in assisting production managers and industrial engineers in establishing more realistic progress curves and accurate standard times, thus reducing excessive idle time.

Accuracy of W′ Recovery Kinetics in High Performance Cyclists—Modeling Intermittent Work Capacity

2018 ◽  
Vol 13 (6) ◽  
pp. 724-728 ◽  
Author(s):  
Jason C. Bartram ◽  
Dominic Thewlis ◽  
David T. Martin ◽  
Kevin I. Norton
Keyword(s):  
Recovery Rate ◽  
High Performance ◽  
Critical Power ◽  
Intermittent Exercise ◽  
Work Capacity ◽  
Confidence Limits ◽  
Volitional Exhaustion ◽  
The Difference ◽  
Effective Use ◽  
Elite Cyclists

Purpose: With knowledge of an individual’s critical power and W′, the SKIBA 2 model provides a framework with which to track W′ balance during intermittent high-intensity work bouts. There are fears that the time constant controlling the recovery rate of W′ (τW′) may require refinement to enable effective use in an elite population. Methods: Four elite endurance cyclists completed an array of intermittent exercise protocols to volitional exhaustion. Each protocol lasted approximately 3.5–6 min and featured a range of recovery intensities, set in relation to the athlete’s critical power (DCP). Using the framework of the SKIBA 2 model, the τW′ values were modified for each protocol to achieve an accurate W′ at volitional exhaustion. Modified τW′ values were compared with equivalent SKIBA 2 τW′ values to assess the difference in recovery rates for this population. Plotting modified τW′ values against DCP showed the adjusted relationship between work rate and recovery rate. Results: Comparing modified τW′ values against the SKIBA 2 τW′ values showed a negative bias of 112 (46) s (mean ± 95% confidence limits), suggesting that athletes recovered W′ faster than predicted by SKIBA 2 (P = .0001). The modified τW′–DCP relationship was best described by a power function: τW′ = 2287.2 × DCP–0.688 (R2 = .433). Conclusions: The current SKIBA 2 model is not appropriate for use in elite cyclists, as it underpredicts the recovery rate of W′. The modified τW′ equation presented will require validation but appears more appropriate for high-performance athletes. Individual τW′ relationships may be necessary to maximize the model’s validity.

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