Prediction of Drafted-Triathlon Race Time From Submaximal Laboratory Testing in Elite Triathletes

2003 ◽  
Vol 28 (4) ◽  
pp. 547-560 ◽  
Author(s):  
Olivier Hue
Keyword(s):  
Laboratory Testing ◽  
Lactate Concentration ◽  
Stepwise Multiple Regression ◽  
Treadmill Test ◽  
Race Time ◽  
Physiological Variables ◽  
Swim Test ◽  
Predicting Performance ◽  
Key Words Swimming ◽  
Laboratory Measures

Purpose and methods: To determine which physiological variables accurately predict the race time of an Olympic-distance International Triathlon undertaken in drafted conditions, 8 elite triathletes underwent both maximal and submaximal laboratory and field physiological testing: a 400-m maximal swim test; an incremental treadmill test; an incremental cycling test; 30 min of cycling followed by 20 min of running (C-R); and 20 min of control running (R) at the exact same speed variations as in running in C-R. Blood samples were drawn to measure venous lactate concentration after the 400-m swim and the cycle and run segments of C-R. During the maximal cycling and running exercises, data were collected using an automated breath-by-breath system. Results: The only parameters correlated with the overall drafted-triathlon time were lactate concentration noted at the end of the cycle segment (r = 0.83, p < 0. 05) and the distance covered during the running part of the submaximal C-R test (r = -0.92, p < 0.01). Stepwise multiple regression analysis revealed a highly significant (r = 0.96, p < 0.02) relationship between predicted race time (from laboratory measures) and actual race time, using the following calculation: Predicted Triathlon Time (s) = -1.128 (distance covered during R of C-R [m]) + 38.8 ([lactate] at the end of C in C-R) + 13,338. The high R2 value of 0.93 indicated that, taken together, these two laboratory measures could account for 93% of the variance in race times during a drafted triathlon. Conclusion: Complementing previous studies, this study demonstrates that different parameters seem to be reliable for predicting performance in drafted vs. nondrafted Olympic-triathlon races. It also demonstrates that, for elite triathletes competing in a drafted Olympic-distance triathlon, performance is accurately predicted from the results of submaximal laboratory measures. Key words: swimming, cycling, running, lactate, oxygen uptake

Predicting Performance in Army Aviation Flight Training

1992 ◽  
Vol 36 (12) ◽  
pp. 907-910
Author(s):  
Gabriel P. Intano ◽  
William R. Howse
Keyword(s):  
Student Performance ◽  
Flight Training ◽  
Stepwise Multiple Regression ◽  
Multiple Discriminant Analysis ◽  
Development Activity ◽  
Training Performance ◽  
Predicting Performance ◽  
Flight Students ◽  
Forward Stepwise ◽  
Track Test

The Army Research Institute Aviation Research and Development Activity successfully implemented the Multi-Track Test Battery (MTTB) and associated classification functions in 1988. The battery and functions have been used to assign flight students to their combat skills aircraft. The present program determined the applicability of the battery to prediction of student performance in flight training. Performance evaluation in training consists of flight phase grades and academic phase grades. In addition to these grades, Overall Average Grade and Overall Flight Grade were also predicted using Forward Stepwise Multiple Regression procedures. Stepwise Multiple Discriminant Analysis was used to investigate two additional measures, flight deficiency training setback and flight deficiency attrition.

Behaviuoral changes associated with the population cycle of Antechinus stuartii (Marsupialia)

1974 ◽  
Vol 22 (1) ◽  
pp. 45 ◽  
Author(s):  
RW Braithwaite
Keyword(s):  
Laboratory Testing ◽  
Stepwise Multiple Regression ◽  
Population Cycle ◽  
Physical Deterioration ◽  
Observation Cage ◽  
Antechinus Stuartii ◽  
Two Measures ◽  
Males And Females ◽  
Time Of Year ◽  
General Appearance

The behaviour of field populations of A. stuartii was monitored in relation to their demography by diad testing. Marked and unmarked pairs were tested in a field observation cage. Two measures of activity and the frequency of 10 behaviour categories were recorded for each test. Stepwise multiple regression analysis showed the sex of the animal and time of year to be the best predictors of aggression parameters. The frequencies of behaviour categories suggest that males and females behave quite differently. Males show a trend of increasing aggressiveness over the annual cycle whereas females do not. Repeated laboratory testing of males in 'mating condition' exacerbates aggression as their weight and general appearance deteriorate. It is suggested that the externally synchronized life cycle programs the aggression increase, and this causes physical deterioration, rather than the reverse.

The Relationship of Lactate to 1-Mile Walk Performance in Women Aged 60 to 70 Years

1998 ◽  
Vol 6 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Carmelo Bazzano ◽  
Lee N. Cunningham ◽  
Giovanni Cama ◽  
Tony Falconio
Keyword(s):  
Older Women ◽  
Blood Lactate ◽  
Field Testing ◽  
Testing Procedure ◽  
Physiological Data ◽  
Walk Test ◽  
Treadmill Test ◽  
Physiological Variables ◽  
Before And After ◽  
The Relationship

The purpose of this study was to examine the relationship between selected physiological variables and lactate accumulation at the end of a l-mile walk test (MWT) in older women (mean ± SD: 64.6 ± 3.1 years). Seventeen women with a peak (ml · kg-1 · min-1) of 21.1 ± 4.2 volunteered to participate. Physiological data were obtained via a COSMED K2 miniaturized O2 analyzer with telemetric capabilities during a maximal treadmill (TM) test and MWT. Blood samples were obtained from the ear lobe for lactale analysis immediately before and after the treadmill test and MWT. Subjects performed the MWT in 15.4 ± 1.4 min at an intensity of 76% of peak and 86% of HRmax. The blood lactate accumulated at the end of the MWT was 2.61 ± 1.47 mmol/L. Peak lactate following the maximal treadmill test was 3.8 ± 1.42 mmol/L. HR during the test was significantly related with blood lactate (r= .65, p< .01). The lactate values observed during the lest suggest that the I-mile walk test is a suitable field testing procedure for older women.

Prediction of triathlon race time from laboratory testing in national triathletes

2000 ◽  
Vol 32 (4) ◽  
pp. 844-849 ◽  
Author(s):  
ELSKE J. SCHABORT ◽  
SELWYN C. KILLIAN ◽  
ALAN ST CLAIR GIBSON ◽  
JOHN A. HAWLEY ◽  
TIMOTHY D. NOAKES
Keyword(s):  
Laboratory Testing ◽  
Race Time

Comparison of the 45-Second/15-Second Intermittent Running Field Test and the Continuous Treadmill Test

2012 ◽  
Vol 7 (3) ◽  
pp. 277-284 ◽  
Author(s):  
Hervé Assadi ◽  
Romuald Lepers
Keyword(s):  
Heart Rate ◽  
Oxygen Uptake ◽  
Field Test ◽  
Recovery Time ◽  
Physiological Responses ◽  
Lactate Concentration ◽  
Training Session ◽  
Treadmill Test ◽  
Active Recovery ◽  
Intermittent Training

Purposes:To compare the physiological responses and maximal aerobic running velocity (MAV) during an incremental intermittent (45-s run/15-s rest) field test (45-15FIT) vs an incremental continuous treadmill test (TR) and to demonstrate that the MAV obtained during 45-15FIT (MAV45-15) was relevant to elicit a high percentage of maximal oxygen uptake (VO2max) during a 30-s/30-s intermittent training session.Methods:Oxygen uptake (VO2), heart rate (HR), and lactate concentration ([La]) were measured in 20 subjects during 2 maximal incremental tests and four 15-min intermittent tests. The time spent above 90% and 95% VO2max (t90% and t95% VO2max, respectively) was determined.Results:Maximal physiological parameters were similar during the 45-15FIT and TR tests (VO2max 58.6 ± 5.9 mL · kg−1 · min−1 for TR vs 58.5 ± 7.0 mL · kg−1 · min−1 for 45-15FIT; HRmax 200 ± 8 beats/min for TR vs 201 ± 7 beats/min for 45-15FIT). MAV45-15 was significantly (P < .001) greater than MAVTR (17.7 ± 1.1 vs 15.6 ± 1.4 km/h). t90% and t95% VO2max during the 30-s/30-s performed at MAVTR were significantly (P < .01) lower than during the 30-s/30-s performed at MAV45-15. Similar VO2 during intermittent tests performed at MAV45-15 and at MAVTR can be obtained by reducing the recovery time or using active recovery.Conclusions:The results suggested that the 45-15FIT is an accurate field test to determine VO2max and that MAV45-15 can be used during high-intensity intermittent training such as 30-s runs interspersed with 30-s rests (30-s/30-s) to elicit a high percentage of VO2max.

scholarly journals High-Intensity Warm-Up Increases Anaerobic Energy Contribution during 100-m Sprint

Biology ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 198
Author(s):  
Seung-Bo Park ◽  
Da-Sol Park ◽  
Minjun Kim ◽  
Eunseok Lee ◽  
Doowon Lee ◽  
...  
Keyword(s):  
High Intensity ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Young Male ◽  
Time Trial ◽  
Energy System ◽  
Warm Up ◽  
Sprint Time ◽  
Physiological Variables ◽  
And Performance

This study aimed to evaluate the effects of warm-up intensity on energetic contribution and performance during a 100-m sprint. Ten young male sprinters performed 100-m sprints following both a high-intensity warm-up (HIW) and a low-intensity warm-up (LIW). Both the HIW and LIW were included in common baseline warm-ups and interventional warm-ups (eight 60-m runs, HIW; 60 to 95%, LIW; 40% alone). Blood lactate concentration [La−], time trial, and oxygen uptake (VO2) were measured. The different energy system contribution was calculated by using physiological variables. [La−1]Max following HIW was significantly higher than in LIW (11.86 ± 2.52 vs. 9.24 ± 1.61 mmol·L−1; p < 0.01, respectively). The 100-m sprint time trial was not significantly different between HIW and LIW (11.83 ± 0.57 vs. 12.10 ± 0.63 s; p > 0.05, respectively). The relative (%) phosphagen system contribution was higher in the HIW compared to the LIW (70 vs. 61%; p < 0.01, respectively). These results indicate that an HIW increases phosphagen and glycolytic system contributions as compared to an LIW for the 100-m sprint. Furthermore, an HIW prior to short-term intense exercise has no effect on a 100-m sprint time trial; however, it tends to improve times (decreased 100-m time trial; −0.27 s in HIW vs. LIW).

scholarly journals The Acute Effect of Hyperoxia on Onset of Blood Lactate Accumulation (OBLA) and Performance in Female Runners during the Maximal Treadmill Test

2021 ◽  
Vol 18 (9) ◽  
pp. 4546
Author(s):  
Thays C. Silva ◽  
Felipe J. Aidar ◽  
Aristela de Freitas Zanona ◽  
Dihogo Gama Matos ◽  
Danielle D. Pereira ◽  
...  
Keyword(s):  
Blood Lactate ◽  
Lactate Concentration ◽  
Acute Effect ◽  
Treadmill Test ◽  
Borg Scale ◽  
Lactate Accumulation ◽  
Cohen’S D ◽  
Oxygen Inhalation ◽  
Blood Lactate Accumulation ◽  
Cohen's D

The objective of this study was to analyze the acute effect of hyperoxia during the maximal treadmill test (MTT) of runners. Participants included 10 female street runners who performed the MTT under two different conditions: hyperoxia (HYPX), inhaling oxygen (60% O2) every 3 min; and normoxia (NORM), without additional oxygen inhalation. Both groups performed the MTT with increases in the slope of the run every 3 min until voluntary exhaustion. The variables of lactate concentration, the onset of blood lactate accumulation (OBLA), peripheral oxygen saturation (SpO2), heart rate (HR), and Borg scale were evaluated. It was verified after the comparison (HYPX vs. NORM) that stage 3 (p = 0.012, Cohen’s d = 1.76) and stage 4 (p < 0.001; Cohen’s d = 5.69) showed a reduction in lactate under the HYPX condition. OBLA under the HYPX condition was identified at a later stage than NORM. There were no differences in Borg scale, SpO2, and HR between the different conditions. It was concluded that the HYPX condition contributed to a reduction in lactate concentration and delayed OBLA in runners.

scholarly journals Diferencias en el OBLA en jugadoras de fútbol en relación a su posición en el campo de juego (Differences in OBLA in football players based on their field position)

Retos ◽  
2016 ◽  
pp. 58-61
Author(s):  
Jose E. Del Río Valdivia ◽  
Ciria Margarita Salazar ◽  
Julio Cuevas Romo ◽  
Adriana Isabel Andrade Sánchez ◽  
Pedro Julian Flores Moreno ◽  
...  
Keyword(s):  
Blood Lactate ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
P Value ◽  
Significance Level ◽  
Speed Test ◽  
Physiological Variables ◽  
Significant Difference ◽  
Speed Level ◽  
Field Position

La posición en el campo de juego en el fútbol, no obedece solo a un interés personal, sino que podría depender de variables fisiológicas individuales. El presente estudio determina el OBLA en las diferentes posiciones. La población del estudio fue integrada por 16 jugadoras universitarias de la modalidad soccer (4 por cada posición) evaluadas en una banda sin fin, con una prueba de velocidades crecientes. En cada velocidad utilizada se midió la concentración de lactato sanguíneo con un analizador portátil Accuntrend Lactate Plus. Para el análisis de los datos se propuso una fórmula matemática de interpolación entre las variables velocidad y concentración de lactato. Se encontró, una variación significativa del OBLA, en la muestra estudiada, dependiendo de la posición de juego (porteras, defensas, medio-campistas y delanteras). Utilizando la prueba de Kruskal-Wallis, con un nivel de significancia (α) del 5 %, en búsqueda de la relación entre el OBLA y la posición de las jugadoras, se obtuvo un p-valor de 0.004, por lo que no es posible aceptar la igualdad entre las poblaciones, por lo tanto, se puede afirmar que existe una diferencia estadística significativa cuando se compara el comienzo de acumulación de lactato en sangre (OBLA) con la posición en la que juegan las futbolistas. Los resultados demuestran que existen diferencias estadísticamente significativas entre los grupos de jugadoras de acuerdo a la posición que desempeñan en el campo de juego y a la concentración de lactato en sangre.Abstract. Choosing a field position in football may not depend only on personal interest, but also on individual physiological variables. The aim of the study is to determine the Onset of Blood Lactate Accumulation (OBLA) in the different field positions of football. The study sample was composed by 16 female players (four per position) evaluated using an increased speed test carried out on treadmill. At each speed level, blood lactate concentrations were measured with the portable analyzer Accuntrend Lactate Plus. A mathematical formula interpolating speed and lactate concentration was proposed for the analysis of the data obtained. A significant variation of OBLA was found in the participants, associated with playing position (goalkeepers, defenders, midfielders, and strikers). Setting the significance level (α) at 5%, a p-value of 0.004 was obtained using the Kruskal-Wallis test in order to study the relation between OBLA and players’ field position. This demonstrates that there is no equivalence among positions, at the same time as a statistically significant difference is shown when comparing OBLA with players’ field position. Results show that there are statistically significant differences between the groups of players based on their field position and on blood lactate concentration.

Physiological correlates of 2-mile run performance as determined using a novel on-demand treadmill

2009 ◽  
Vol 34 (4) ◽  
pp. 763-772 ◽  
Author(s):  
Keith Tolfrey ◽  
Simon A. Hansen ◽  
Katie Dutton ◽  
Tom McKee ◽  
Andrew M. Jones
Keyword(s):  
Standard Error ◽  
Intraclass Correlation ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Running Economy ◽  
Small Individual ◽  
Running Performance ◽  
Physiological Variables ◽  
On Demand ◽  
Free Running

The purpose of this study was to assess the reproducibility of an on-demand motorised treadmill to measure 2-mile (3.2 km) race performance and to examine the physiological variables that best predict this free-running performance in active men. Twelve men (mean (SD): age, 28 (9) years; stature, 1.79 (0.05) m; body mass, 72 (9) kg) completed the study in which maximum oxygen uptake (VO2 max), running economy, and running speed at VO2 max (vVO2 max), lactate threshold (vLT), and 4 mmol·L–1 fixed blood lactate concentration (v4) were measured. Subsequently, the maximal lactate steady state (MLSS) was identified using a series of 30-min treadmill runs. Finally, each participant completed a 2-mile running performance trial on 2 separate occasions, using an on-demand treadmill that adjusts belt speed according to the participant’s position on the moving belt. The average 2-mile run speed was 15.7 (SD, 1.9) km·h–1, with small individual differences between repeat-performance trials (intraclass correlation coefficient = 0.99, 95% CI 0.953 to 0.996; standard error of measurement as coefficient of variation = 1.5%, 95% CI 1.0% to 2.5%). Bivariate regression analyses identified VO2 max, vVO2 max, VO2 (mL·kg–1·min–1) at MLSS, vLT, v4, and velocity at MLSS (vMLSS) as the strongest individual predictor variables (r2 = 0.69 to 0.87; standard error of the estimate = 1.08 to 0.72 km·h–1) for 2-mile running performance. The vLT and vMLSS explained 85% and 87% of the variance in running performance, respectively, suggesting that there is considerable shared variance between these parameters. In conclusion, the on-demand treadmill system provided a reliable measure of distance running performance. Both vLT and vMLSS were strong predictors of 2-mile running performance, with vMLSS explaining marginally more of the variance.

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