Blood lactate concentration at the maximal lactate steady state is not dependent on endurance capacity in healthy recreationally trained individuals

2011 ◽  
Vol 112 (8) ◽  
pp. 3079-3086 ◽  
Author(s):  
Gerhard Smekal ◽  
Serge P. von Duvillard ◽  
Rochus Pokan ◽  
Peter Hofmann ◽  
William A. Braun ◽  
...  
Keyword(s):  
Steady State ◽  
Blood Lactate ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Endurance Capacity ◽  
Maximal Lactate Steady State

Predicting Maximal Lactate Steady State in Children and Adults

2009 ◽  
Vol 21 (4) ◽  
pp. 493-505 ◽  
Author(s):  
Ralph Beneke ◽  
Hermann Heck ◽  
Helge Hebestreit ◽  
Renate M Leithäuser
Keyword(s):  
Steady State ◽  
Blood Lactate ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Load Test ◽  
Maximal Lactate Steady State ◽  
Test Power ◽  
Load Tests

The value of blood lactate concentration (BLC) measured during incremental load tests in predicting maximal lactate-steady-state (MLSS) workload has rarely been investigated in children. In 17 children and 18 adults MLSS was 4.1 ± 0.9mmol 1.1. Workload at BLC of 3.0mmol 1.1 determined during an incremental load test explained about 80% of the variance (p < .001) and best predicted MLSS workload independent of age. This was despite the increase in power per time related to maximum incremental load test power being higher (p < .001) in children than in adults. The BLC response to given exercise intensities is faster in children without affecting MLSS.

scholarly journals The Maximal Lactate Steady State Workload Determines Individual Swimming Performance

2021 ◽  
Vol 12 ◽  
Author(s):  
Gernot O. Hering ◽  
Jens Stepan
Keyword(s):  
Steady State ◽  
Blood Lactate ◽  
Swimming Speed ◽  
Lactate Threshold ◽  
Swimming Performance ◽  
Endurance Capacity ◽  
Sudden Increase ◽  
Maximal Lactate Steady State ◽  
Custom Made ◽  
Major Interest

The lactate threshold (LT) and the strongly related maximal lactate steady state workload (MLSSW) are critical for physical endurance capacity and therefore of major interest in numerous sports. However, their relevance to individual swimming performance is not well understood. We used a custom-made visual light pacer for real-time speed modulation during front crawl to determine the LT and MLSSW in a single-exercise test. When approaching the LT, we found that minute variations in swimming speed had considerable effects on blood lactate concentration ([La−]). The LT was characterized by a sudden increase in [La−], while the MLSSW occurred after a subsequent workload reduction, as indicated by a rapid cessation of blood lactate accumulation. Determination of the MLSSW by this so-called “individual lactate threshold” (ILT)-test was highly reproducible and valid in a constant speed test. Mean swimming speed in 800 and 1,500 m competition (S-Comp) was 3.4% above MLSSW level and S-Comp, and the difference between S-Comp and the MLSSW (Δ S-Comp/MLSSW) were higher for long-distance swimmers (800–1,500 m) than for short- and middle-distance swimmers (50–400 m). Moreover, Δ S-Comp/MLSSW varied significantly between subjects and had a strong influence on overall swimming performance. Our results demonstrate that the MLSSW determines individual swimming performance, reflects endurance capacity in the sub- to supra-threshold range, and is therefore appropriate to adjust training intensity in moderate to severe domains of exercise.

scholarly journals Comparison of maximal lactate steady state with V2, V4, individual anaerobic threshold and lactate minimum speed in horses

2014 ◽  
Vol 66 (1) ◽  
pp. 39-46 ◽  
Author(s):  
O.A.B. Soares ◽  
G.C. Ferraz ◽  
C.B. Martins ◽  
D.P.M. Dias ◽  
J.C. Lacerda-Neto ◽  
...  
Keyword(s):  
Steady State ◽  
Anaerobic Threshold ◽  
Exercise Physiology ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Maximal Lactate Steady State ◽  
Exercise Load ◽  
Individual Anaerobic Threshold ◽  
Minimum Speed ◽  
Lactate Minimum

The anaerobic threshold is a physiologic event studied in various species. There are various methods for its assessment, recognized in the human and equine exercise physiology literature, several of these involving the relationship between blood lactate concentration (LAC) and exercise load, measured in a standardized exercise test. The aim of this study was to compare four of these methods: V2, V4, individual anaerobic threshold (IAT) and lactate minimum speed (LMS) with the method recognized as the gold standard for the assessment of anaerobic threshold, maximal lactate steady-state (MLSS). The five tests were carried out in thirteen trained Arabian horses, in which velocities and associated LAC could be measured. The mean velocities and the LAC associated with the anaerobic threshold for the five methods were respectively: V2 = 9.67±0.54; V4 = 10.98±0.47; V IAT = 9.81±0.72; V LMS = 7.50±0.57 and V MLSS = 6.14±0.45m.s-1 and LAC IAT = 2.17±0.93; LAC LMS = 1.17±0.62 and LAC MLSS = 0.84±0.21mmol.L-1. None of the velocities were statistically equivalent to V MLSS (P<0.05). V2, V4 and V LMS showed a good correlation with V MLSS , respectively: r = 0.74; r = 0.78 and r = 0.83, and V IAT did not significantly correlate with V MLSS. Concordance between the protocols was relatively poor, i.e., 3.28±1.00, 4.84±0.30 and 1.43±0.32m.s-1 in terms of bias and 95% agreement limits for V2, V4 and LMS methods when compared to MLSS. Only LAC LMS did not differ statistically from LAC MLSS. Various authors have reported the possibility of the assessment of anaerobic threshold using rapid protocols such as V4 and LMS for humans and horses. This study corroborates the use of these tests, but reveals that adjustments in the protocols are necessary to obtain a better concordance between the tests and the MLSS.

Maximal Lactate Steady State in Children

1996 ◽  
Vol 8 (4) ◽  
pp. 328-336 ◽  
Author(s):  
Ralph Beneke ◽  
Volker Schwarz ◽  
Renate Leithäuser ◽  
Matthias Hütler ◽  
Serge P. von Duvillard
Keyword(s):  
Steady State ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Peak Heart Rate ◽  
Maximal Lactate Steady State ◽  
Specific Test ◽  
Testing Procedures ◽  
Time Courses ◽  
Kinetics Of ◽  
Submaximal Workload

Maximal lactate steady state (MLSS) corresponds to the prolonged constant workload whereby the kinetics of blood lactate concentration clearly increases from steady state. Different results of MLSS in children may reflect specific test protocols or definitions. Three methods corresponding to lactate time courses during 20 min (MLSS I), 16 min (MLSS II), and 8 min (MLSS III) of constant submaximal workload were intraindividually compared in 10 boys. At MLSS I, lactate, V̇O2peak, heart rate, and workload were higher (p < .05) than at MLSS II and at MLSS III. The differences between MLSS I, MLSS II, and MLSS III reflect insufficient contribution to lactate kinetics by testing procedures, strongly depending on the lactate time courses during the initial 10 min of constant workload. Previously published divergent results of MLSS in children seem to reflect a methodological effect more than a metabolic change.

Can measures of critical power precisely estimate the maximal metabolic steady-state?

2016 ◽  
Vol 41 (11) ◽  
pp. 1197-1203 ◽  
Author(s):  
Felipe Mattioni Maturana ◽  
Daniel A. Keir ◽  
Kaitlin M. McLay ◽  
Juan M. Murias
Keyword(s):  
Steady State ◽  
Oxygen Uptake ◽  
Blood Lactate ◽  
Critical Power ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Time To Exhaustion ◽  
Stable Oxygen ◽  
Young Subjects ◽  
Relationship Of

Critical power (CP) conceptually represents the highest power output (PO) at physiological steady-state. In cycling exercise, CP is traditionally derived from the hyperbolic relationship of ∼5 time-to-exhaustion trials (TTE) (CPHYP). Recently, a 3-min all-out test (CP3MIN) has been proposed for estimation of CP as well the maximal lactate steady-state (MLSS). The aim of this study was to compare the POs derived from CPHYP, CP3MIN, and MLSS, and the oxygen uptake and blood lactate concentrations at MLSS. Thirteen healthy young subjects (age, 26 ± 3years; mass, 69.0 ± 9.2 kg; height, 174 ± 10 cm; maximal oxygen uptake, 60.4 ± 5.9 mL·kg−1·min−1) were tested. CPHYP was estimated from 5 TTE. CP3MIN was calculated as the mean PO during the last 30 s of a 3-min all-out test. MLSS was the highest PO during a 30-min ride where the variation in blood lactate concentration was ≤ 1.0 mmol·L−1 during the last 20 min. PO at MLSS (233 ± 41 W; coefficient of variation (CoV), 18%) was lower than CPHYP (253 ± 44 W; CoV, 17%) and CP3MIN (250 ± 51 W; CoV, 20%) (p < 0.05). Limits of agreement (LOA) from Bland–Altman plots between CPHYP and CP3MIN (–39 to 31 W), and CP3MIN and MLSS (–29 to 62 W) were wide, whereas CPHYP and MLSS presented the narrowest LOA (–7 to 48 W). MLSS yielded not only the maximum PO of stable blood lactate concentration, but also stable oxygen uptake. In conclusion, POs associated to CPHYP and CP3MIN were larger than those observed during MLSS rides. Although CPHYP and CP3MIN were not different, the wide LOA between these 2 tests and the discrepancy with PO at MLSS questions the ability of CP measures to determine the maximal physiological steady-state.

scholarly journals Performance Diagnostic in Cross-Country Skiing

2015 ◽  
Vol 16 (2) ◽  
Author(s):  
Benedikt A. Gasser ◽  
Hans H. Hoppeler
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Endurance Capacity ◽  
Maximum Heart Rate ◽  
Running Speed ◽  
Cross Country Skiing ◽  
Cross Country ◽  
The Relationship

AbstractPurpose. Recreational cross-country skiers can benefit from a performance diagnostic when planning a training program. The aim of this study was to establish a simple test protocol to measure endurance capacity and provide training recommendations. Methods. The relationship between endurance performance and cross-country skiing technique was assessed using two tests. First, a lactate threshold test whereby running speed was determined on a treadmill at 4 mmol/l blood lactate concentration. Second, participants completed a variation of the Cooper test using skating technique on flat terrain to determine the distance covered in 12 min and maximum heart rate. Results. There was a correlative (r = 0.18 respectivelly R2 = 0.43) relationship of between the distance covered in the Cooper test and treadmill running speed at 4 mmol/l blood lactate concentration. Conclusions. The two tests allow recreational athletes to rank themselves with regards to their endurance capacity within a population. The relationship between distance covered and maximum heart rate can indicate whether future training should focus on technical or physical improvement.

scholarly journals A 1-day maximal lactate steady-state assessment protocol for trained cyclists

2018 ◽  
Vol 7 (1) ◽  
pp. 9-16
Author(s):  
Jose Ramon Lillo-Bevia ◽  
Ricardo Moran-Navarro ◽  
Alejandro Martinez-Cava ◽  
Victor Cerezuela ◽  
Jesus G. Pallares
Keyword(s):  
Steady State ◽  
Data Analysis ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Constant Load ◽  
Load Test ◽  
Validity And Reliability ◽  
Maximal Lactate Steady State ◽  
Exercise Tests ◽  
Assessment Protocol

The main aim of this study is to assess the validity of a new cycling protocol to estimate the Maximal Lactate Steady-State workload (MLSS) through a one-day incremental protocol (1day_MLSS). Eleven well-trained male cyclists performed 3 to 4 trials of 30-min constant load test (48-72h in between) to determine their respective MLSS workload. Then, on separate days, each cyclist carried out two identical graded exercise tests, comprised of four 10-minute long stages, with the initial load at 63% of their respective maximal aerobic power, 0.2 W·Kg-1 increments, and blood lactate concentration (BLC) determinations each 5 min. The results of the 1day_MLSS tests were analysed through three different constructs: i) BLC difference between 5th and 10th min of each stage (DIF_5to10), ii) BLC difference between the 10th min of two consecutive stages (DIF_10to10), and iii) difference in the mean BLC between the 5th and 10th min of two consecutive stages (DIF_mean). For all constructs, the physiological steady state was determined as the highest workload that could be maintained with a BLC rise lower than 1mmol·L-1.  No significant differences were detected between the MLSS workload (247 ± 22W) and any of the 1day_MLSS data analysis (250 ± 24W, 245 ± 23W and 243 ± 21W, respectively; p>0.05). When compared to the MLSS workload, strong ICCs and low bias values were found for these three constructs, especially for the DIF_10to10 workload (r=0.960; Bias=2.2 W). High within-subject reliability data were found for the DIF10_10 construct (ICC=0.846; CV=0.4%; Bias=2.2 ± 6.4W). The 1day_MLSS test and DIF_10to10 data analysis is a valid assessment to predict the MLSS workload in cycling, that considerably reduces the dedicated time, effort and human resources that requires the original test. The validity and reliability values reported in this project are higher than those achieved by other previous MLSS estimation tests.

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