Estimation of the Maximal Lactate Steady State in Endurance Runners

Llodio, Iñaki; Gorostiaga, Esteban M.; Garcia‐Tabar, Ibai; Granados, Cristina; Sánchez‐Medina, Luis

doi:10.1055/s-0042-102653

Cited by 14 publications

(17 citation statements)

References 36 publications

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“…Several 30 min constant workloads on a treadmill were performed to identify the highest workload (km·h –1 ) at which CBL increased >1 mMol·L –1 between the 10th and 30th min of exercise (Beneke, 2003 ). After 7 days from the second GXT EXP , all participants performed the first MLSS trial at the individual workload associated to their 85% of VT 2 , based on previous studies (Llodio et al, 2016 ; Pallarés et al, 2016 ). Depending on the results of the first MLSS - test, successive trials with a 48-h rest between sessions were increased or decreased 0.5 km·h –1 until MLSS criteria was fulfilled (Pallarés et al, 2016 ).…”

Section: Methodsmentioning

confidence: 99%

The Relationship Between Lactate and Ventilatory Thresholds in Runners: Validity and Reliability of Exercise Test Performance Parameters

et al. 2018

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The aims of this study were (1) to establish the best fit between ventilatory and lactate exercise performance parameters in running and (2) to explore novel alternatives to estimate the maximal aerobic speed (MAS) in well-trained runners. Twenty-two trained male athletes (trueV˙O2max 60.2 ± 4.3 ml·kg·min−1) completed three maximal graded exercise tests (GXT): (1) a preliminary GXT to determine individuals' MAS; (2) two experimental GXT individually adjusted by MAS to record the speed associated to the main aerobic–anaerobic transition events measured by indirect calorimetry and capillary blood lactate (CBL). Athletes also performed several 30 min constant running tests to determine the maximal lactate steady state (MLSS). Reliability analysis revealed low CV (<3.1%), low bias (<0.5 km·h−1), and high correlation (ICC > 0.91) for all determinations except V-Slope (ICC = 0.84). Validity analysis showed that LT, LT+1.0, and LT+3.0 mMol·L−1 were solid predictors of VT1 (−0.3 km·h−1; bias = 1.2; ICC = 0.90; p = 0.57), MLSS (−0.2 km·h−1; bias = 1.2; ICC = 0.84; p = 0.74), and VT2 (<0.1 km·h−1; bias = 1.3; ICC = 0.82; p = 0.9l9), respectively. MLSS was identified as a different physiological event and a midpoint between VT1 (bias = −2.0 km·h−1) and VT2 (bias = 2.3 km·h−1). MAS was accurately estimated (SEM ± 0.3 km·h−1) from peak velocity (Vpeak) attained during GXT with the equation: MASEST (km·h−1) = Vpeak (km·h−1) * 0.8348 + 2.308. Current individualized GXT protocol based on individuals' MAS was solid to determine both maximal and submaximal physiological parameters. Lactate threshold tests can be a valid and reliable alternative to VT and MLSS to identify the workloads at the transition from aerobic to anaerobic metabolism in well-trained runners. In contrast with traditional assumption, the MLSS constituted a midpoint physiological event between VT1 and VT2 in runners. The Vpeak stands out as a powerful predictor of MAS.

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Section: Methodsmentioning

confidence: 99%

The Relationship Between Lactate and Ventilatory Thresholds in Runners: Validity and Reliability of Exercise Test Performance Parameters

et al. 2018

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“…In contrast, methods identifying the relationship between submaximal constant velocity bouts and HR responses could be a simple and valid alternative [60] when controlling factors affecting HR monitoring, such as dehydration [61]. In addition, the combination of constant velocity and incremental tests in the field was also suggested to be valid in identifying the anaerobic threshold along with the MAS [62]. Of note, field running testing could be more difficult to apply due to the constraints associated with field and weather conditions.…”

Section: Training Monitoringmentioning

confidence: 99%

Factors Affecting Training and Physical Performance in Recreational Endurance Runners

Boullosa

Esteve-Lanao²,

Casado

et al. 2020

Sports

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Endurance running has become an immensely popular sporting activity, with millions of recreational runners around the world. Despite the great popularity of endurance running as a recreational activity during leisure time, there is no consensus on the best practice for recreational runners to effectively train to reach their individual objectives and improve physical performance in a healthy manner. Moreover, there are lots of anecdotal data without scientific support, while most scientific evidence on endurance running was developed from studies observing both recreational and professional athletes of different levels. Further, the transference of all this information to only recreational runners is difficult due to differences in the genetic predisposition for endurance running, the time available for training, and physical, psychological, and physiological characteristics. Therefore, the aim of this review is to present a selection of scientific evidence regarding endurance running to provide training guidelines to be used by recreational runners and their coaches. The review will focus on some key aspects of the training process, such as periodization, training methods and monitoring, performance prediction, running technique, and prevention and management of injuries associated with endurance running.

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“…Analyzing the results, we can see that along with the study in question, there are studies in the literature with high correlations between the different methods of anaerobic threshold evaluation (de Lucas, Dittrich, Junior, de Souza, & Guglielmo, 2012;Fraga et al, 2014;Llodio, Gorostiaga, Garcia-Tabar, Granados, & Sánchez-Medina, 2016). In the recent study published by Guimaraes et al (Guimarães, Campos, de Souza, & da Silva, 2017), the authors found agreement between the methods of determination of anaerobic threshold velocity using blood lactate through the Dmax method and anaerobic threshold velocity using the heart rate deflection point.…”

Section: Discussionmentioning

confidence: 89%

Untitled

2017

JPES

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Abstract:Approach: In recent years, the increase in the number of distance runners in various events worldwide has been evident. Evaluation and control of training with precise variables and easy applicability of the same variables are necessary. Objective: The objective of this study was to compare the critical velocity and velocity at the anaerobic threshold of moderately trained runners at 5-km. Materials and Methods: A total of 19 male runners with a moderate level of performance participated in the study. The participants performed two procedures to determine the speed of the anaerobic treadmill threshold and the runway critical velocity (maximum performance test of 3000 m and 5000 m). To determine the velocity at the anaerobic threshold, individual blood lactate level assessment was used. For comparison, the t-test was used to determine the Cohen effect size, Pearson linear correlation, and Bland-Altman concordance. Results: The average values found in the treadmill anaerobic threshold velocity and the critical velocity were 13.75 ± 1.37 km/h and 13.70 ± 1.33 km/h, respectively. Identification of positive correlations between the blood lactate methods and the critical velocity was possible. Conclusion: The study found that the estimated threshold velocities in methods using blood lactate and indirect methods (critical velocity) are in agreement with each other. Therefore, the methods presented are safe for the training prescription.

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Estimation of the Maximal Lactate Steady State in Endurance Runners

Cited by 14 publications

References 36 publications

The Relationship Between Lactate and Ventilatory Thresholds in Runners: Validity and Reliability of Exercise Test Performance Parameters

The Relationship Between Lactate and Ventilatory Thresholds in Runners: Validity and Reliability of Exercise Test Performance Parameters

Factors Affecting Training and Physical Performance in Recreational Endurance Runners

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