Methods for estimating the maximal lactate steady state in trained cyclists

Harnish, Chris; Swensen, T; Pate, Russell R.

doi:10.1097/00005768-200106000-00027

Cited by 54 publications

(60 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Such testing procedures require the presence of an athlete in the laboratory for several days, which can have a detrimental effect on the training program. To eliminate this problem, some researches try to determine the MLSS indirectly, based on a single incremental test (Heck et al, 1985;Jones et al, 1988;Poole, 1988;Beneke, 1996;McLellan, 1992;Laplaud et al, 2005;Figueira et al, 2008) and on filed tests (Hoogeveen et al, 1997;Harnish et al, 2001). …”

Section: Introductionmentioning

confidence: 99%

Lactate Threshold (D-Max Method) and Maximal Lactate Steady State in Cyclists

Czuba¹,

Zając²,

Cholewa³

et al. 2009

Journal of Human Kinetics

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Lactate Threshold (D-Max Method) and Maximal Lactate Steady State in Cyclists

Czuba¹,

Zając²,

Cholewa³

et al. 2009

Journal of Human Kinetics

View full text Add to dashboard Cite

“…However, similarly to the findings of others, there was a significant increase in workload Although a number of research groups have attempted to reduce the number of tests used to establish MLSS [103,125,129,[139][140][141] , further questions relating to the MLSS Harnish, Swensen and Pate [127] Female (n = 3) and male (n = 6) cyclists …”

Section: Changes In Mlss With Trainingmentioning

confidence: 66%

“…For example, running velocity at MLSS has been shown to correlate strongly with 8 km running performance (r = 0.92; p < 0.05) in well-trained men (n = 13) [125] , and with sprint triathlon performance time (750 m swim, 20 km cycle, 5 km run; r = 0.83; p < 0.05) in moderately-trained male triathletes (n = 10) [126] . Furthermore, cycling velocity at MLSS correlated with 40 km cycling time trial velocity (r = 0.84; p < 0.05) in competitive cyclists (n = 3 women and 6 men) [127] . Additionally, an agreement between MLSS intensity and the intensity sustained during performance trials has been reported whereby there was no significant difference between mean 8 km running velocity (16.01 ± 0.32 km·h ; p > 0.05) [125] , nor between the velocity (36. , respectively; all p > 0.05) [127] .…”

Section: Relationship Between Mlss and Endurance Performancementioning

confidence: 89%

“…Furthermore, cycling velocity at MLSS correlated with 40 km cycling time trial velocity (r = 0.84; p < 0.05) in competitive cyclists (n = 3 women and 6 men) [127] . Additionally, an agreement between MLSS intensity and the intensity sustained during performance trials has been reported whereby there was no significant difference between mean 8 km running velocity (16.01 ± 0.32 km·h ; p > 0.05) [125] , nor between the velocity (36. , respectively; all p > 0.05) [127] . These findings suggest that MLSS is capable of establishing performance status as well as an exercise intensity that is not different from the intensity sustained during performance trials of at least ~30-65 min.…”

Section: Relationship Between Mlss and Endurance Performancementioning

confidence: 89%

“…Avoids subjective data interpretation and lack of methodological standardisation [135] Minimum of two (but often requires 3-4) testing sessions performed on different days [135] Continuous training at MLSS intensity appears to be an effective tool for improving MLSS intensity [136] Labour intensive and requires a high number of sampling time-points for the collection of blood [103,129] Numerous viable options available to predict MLSS in single test [115,125,127,132,133,135,142] Not a complete physiological steady state [130] No effect of exercise mode on MLSS workload as % of maximum [121,143] Large inter-individual differences in time to fatigue and [La -] at MLSS [113,128] , making it hard to use it to set maintainable workloads for endurance events MLSS defined in different ways by different authors and measured using different numbers and/or different durations of constant-load exercise bouts [125] MLSS: maximal lactate steady state.…”

Section: Pros Consmentioning

confidence: 99%

See 2 more Smart Citations

Sex differences and training adaptations in relation to the lactate threshold and endurance exercise performance

Fisher¹

View full text Add to dashboard Cite

The second lactate threshold (LT2) has long been associated with endurance performance in trained endurance athletes. In Australia, the state institutes and academies of sport utilise the modified maximum deviation (D-max) method to determine LT2 in endurance athletes for the purpose of establishing training intensities and indicating whether athletes are appropriately adapting to training loads. For LT2 methods to be considered valid, it had been suggested that strong associations with simulated endurance performance and the maximal lactate steady-state (MLSS) are required. Although research has established a strong relationship between the modified D-max and endurance performance, there are gaps in the literature which this thesis aims to investigate. iii appropriate measurement of ovarian hormones. Therefore, the second study extended study one, to explore the same experimental aims, in endurance-trained women (n = 12) whilst controlling for ovarian hormone concentrations through the use of hormonal contraceptives. When comparing to the men's results from study one, power output and V O2 at LT2 were also found to be significantly correlated with 40 km cycling performance in endurance-trained women. Additionally, combining maximal (peak power output and V O2max) and fractional utilisation (V O2 and power output at LT2) variables produced the strongest prediction of performance in women (r 2 = 0.87) and men (r 2 = 0.95). In women, VT2 was significantly higher than LT2 for all variables measured, despite no differences observed for the men. More women (73%) than men (50%) completed 30 min of cycling and elicited a steady-state [La -] at their LT2 power output, despite LT2 being significantly higher than the self-selected power output during a 40 km cycling time trial in women.The final study examined the sensitivity of the modified D-max LT2 to adapt to a brief highintensity interval training (HIIT) intervention in already-endurance trained men (n = 9) and women (n = 8). Although not significant, women (but not men) showed a trend towards LT2 power output improvement (2.2%; p = 0.08) post-HIIT. Mean 40 km time trial performance significantly improved in both men (-1.7%) and women (-2.6%), with no difference in the magnitude of change between sexes. Furthermore, although LT2 power output explained 77% of the improvement in 40 km cycling performance in women, none of the measured variables explained the performance improvement in men, suggesting that mechanisms other than those responsible for the LT2 were involved. The LT2-performance relationship was intensity-dependent in both men and women, shown by significant correlations at post-HIIT but not baseline. Some of the sex-related differences may, at least in part, be explained by the influence of oestradiol, perhaps by the exacerbation of the sex-based differences in substrate metabolism and subsequent effects on [La -] and fatigue, and/or greater cardiovascular stress in men than women.Collectively, these studies improve understanding of the modifie...

show abstract