The Validity and Accuracy of Blood Lactate Measurements for Prediction of Maximal Endurance Running Capacity

Foxdal, P; Sjödin, B.; Sjödin, Anders; Östman, Bengt

doi:10.1055/s-2007-1021026

Cited by 42 publications

(12 citation statements)

References 20 publications

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“…Other authors investigated the influence of step duration on the ªOnset of Blood Lactate Accumulationº [26] and could not prove any influence [32]. On the other hand Foxdal et al [9] reported the most reliable results in determining a physiological threshold when using long step durations connected with low increments because of the better applicability of the absolute lactate concentrations from the step test to the endurance training (independent of the reference to the maximal lactate steady state). In order to evalu- ate the quality of the different test procedures, the difficulties concerning the intensity recommendations on the basis of fixed lactate values have to be considered.…”

Section: Preliminary Exercisementioning

confidence: 99%

Individual Anaerobic Threshold: Methodological Aspects of its Assessment in Running

Coen¹,

Urhausen²,

Kindermann³

2001

Int J Sports Med

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The present study was designed in order to examine the objectivity and reliability of the individual anaerobic threshold (IAT) as well as its resistance against several interfering factors: missing exhaustion, preliminary exercise, longer step duration, and lower speed increment. 87 male and 24 female runners and triathletes were examined. They performed both the original test procedure (IAT(3/2); 3 min step duration, 2 km x h(-1) increment until volitional exhaustion) and either a retest or one of several alternative test procedures (submaximal, preliminary exercise, 5 min step duration, 1 km x h(-1) increment) to be compared with IAT(3/2). The graphic determination of the IAT is characterized by a low inter-observer-variability without significant differences between 4 independent blinded examiners. Both the lactate performance curve (p = 0.07) as well as the heart rate performance curve (p = 0.05) show a slight shift to higher velocities during the retest. The IAT shows an identical running velocity during the retest, the heart rate tends to be lower, and the lactate concentration is significantly (by 0.26 mmol x l(-1); p < 0.05) lower than during the first test. Both a low degree of exhaustion (3-6 mmol x l(-1) lactate; IAT(3/2) shortened by 180 s) and an extension of the step duration from 3 to 5 min do not lead to significantly different velocities at the IAT. Moderate preliminary exercises (approximately 4 mmol x l(-1) lactate) do not influence the velocity at the IAT, the heart rate is significantly higher. A reduction of the speed increment from 2 to 1 km x h(-1) significantly increases the velocity at the IAT by 6%. It is concluded that the determination of the IAT is highly objective, reliable and insensitive to changes of the incremental graded testing protocol, such as a previous warm-up, an extension of the step duration from 3 to 5 min as well as a lower degree of exhaustion. Significant differences may only arise from changes in the speed increment.

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Section: Preliminary Exercisementioning

confidence: 99%

Individual Anaerobic Threshold: Methodological Aspects of its Assessment in Running

Coen¹,

Urhausen²,

Kindermann³

2001

Int J Sports Med

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“…Incremental intensity blood lactate exercise tests are accepted as valid and reliable estimators of endurance performance [1, 2, 7,11,12,18,19,28]. Moreover, lactate parameters derived from these tests are used to assign training intensities [6, 9,14 ± 16, 26, 32, 35].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Accusport® Lactate Analyser

Bishop¹

2001

Int J Sports Med

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It has been suggested that lactate concentrations may provide a guide to an optimal training intensity. However, lactate concentrations established during incremental exercise in the laboratory are not always indicative of what is occurring during constant-load exercise at the same intensity. Ideally, lactate concentrations should be measured during a training session and immediately reported to the athlete to ensure that the athlete is working at the desired intensity. The purpose of this investigation was, therefore, to determine the reliability and validity of a compact, portable lactate analyser (ACCUSPORT; Boeringer Mannheim, Castle Hill, Australia). A total of 224 capillary blood samples were taken from athletes who took part in routine laboratory testing. Seventy-three of these capillary blood samples were analysed in duplicate with the Accusport for determination of intraclass, single-trial reliability. Day-to-day intraclass reliability of the Accusport was assessed by analyzing known concentrations of aqueous lactate solutions on seven consecutive days. The validity of the Accusport analyser was assessed by comparing the 224 capillary blood lactate concentrations determined on the Accusport with the lactate concentration obtained using a MICRO STAT LM3 (Analox Instruments Ltd., London, UK). In addition, lactate parameters derived from the lactate concentrations obtained with the two analysers were compared. The Accusport showed high single-trial intraclass reliability (R = 0.992; Standard Error of Measurement [SE(M)] = 0.3 mmol x l(-1); n = 73) and high day-to-day intraclass reliability (R = 0.993; SE(M) = 0.4 mmol x l(-1); n = 42). Despite a strong correlation between blood lactate concentrations obtained on the two analysers (r = 0.96; n = 224) the limits of agreement were + 1.9 to - 2.2 mmol x l(-1). Although the mean values for power output, HR and lactate concentration associated with the lactate parameters were not significantly different when determined on the Accusport or Micro Stat, some individuals did record large differences between analysis methods. In summary, the results of this investigation have shown that lactate concentrations can be reliably determined within a single trial and from day-to-day using the Accusport analyser. However, for some athletes, it is not valid to compare lactate concentrations or lactate parameters determined on the Accusport with those determined using the Micro Stat LM3 lactate analyser.

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“…A field-based and submaximal test would be more advantageous for soccer players in terms of applicability and acceptability. Such a test, however, is likely to elicit a different HR-[La] relationship [3,8,30], which would not support an interchangeable use of the present method. Although the sample size was not limited, more training and testing cases from heterogeneous groups are needed in the future for better generalizability.…”

Section: Discussionmentioning

confidence: 94%

Non-invasive detection of the anaerobic threshold by a neural network model of the heart rate—work rate relationship

Erdoğan

Çetin

Göksu

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part P:

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The heart rates (HRs) indicating the anaerobic threshold, which corresponds to a fixed blood lactate concentration of 4 mmol/l (heart rate at the onset of blood lactate accumulation (HR-OBLA)); are predicted on the basis of the heart rate-work rate relationship during exercise performance. The predictor is a multi-layer perceptron (MLP). For training and testing, 225 male soccer players (mean age, 21.6 -4.5 years) performed an incremental running test on a treadmill with 3-min runs and 30-s blood sampling sessions for lactate assessment. In addition to the treadmill test data, the ages, masses, heights, body mass indices, and playing positions of half of the subjects (n ¼ 113) were used to train the MLP and the remaining 112 were used for external validation. The results showed that the HR values recorded in the last stages before exhaustion were strong predictors of HR-OBLA (r ¼ 0.875; standard error of estimates, 4.17). Inclusion of other parameters did not improve the prediction rate. Although additional work is needed to generalize the method to training prescription, results suggest that a neural network is a promising non-invasive tool for accurately estimating the HR-OBLA from exercise test data.

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The Validity and Accuracy of Blood Lactate Measurements for Prediction of Maximal Endurance Running Capacity

Cited by 42 publications

References 20 publications

Individual Anaerobic Threshold: Methodological Aspects of its Assessment in Running

Individual Anaerobic Threshold: Methodological Aspects of its Assessment in Running

Evaluation of the Accusport® Lactate Analyser

Non-invasive detection of the anaerobic threshold by a neural network model of the heart rate—work rate relationship

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