Blood Lactate Steady State during Interval Training: New Perspectives on Something Already Known.

The purpose of this study was to confirm that blood lactate concentrations can be maintained at moderate to high steady state values during an entire interval training (IT) session (repetitions + rest). Forty-eight trained swimmers and track athletes performed four IT protocols consisting of 6-10 bouts between 1 and 3-min at ~5-10 mmol/L blood lactate concentrations with a passive recovery of 60 to 180-sec. Performance times were measured at every bout, while blood lactate concentrations and heart rate during recovery every other bout. One-way ANOVA was performed for comparisons and r-squared for the effect size (ES). Performance times were stable throughout each IT protocol (75 ± 8 and 77 ± 5-sec [swimmers and track athletes]; 67 ± 3-sec [swimmers]; 64 ± 3-sec [swimmers]; and 135 ± 6-sec [swimmers]). Despite some minor differences (p<0.05; ES, 0.28 to 0.37, large), blood lactate concentrations were maintained stable at moderate to high values during each IT protocol (5.85 ± 1.47 mmol/L; 5.64 ± 1.03 mmol/L; 9.29 ± 1.07 mmol/L; and 9.44 ± 1.12 mmol/L). HR decreased significantly from the beginning to the end of recovery (p<0.05; ES, 0.93 to 0.96, large). In conclusion, moderate to high blood lactate steady state concentrations can be sustained for ~20 to 60-min during an entire IT session (repetitions + rest) at a stable performance. This approach can optimize performance by stimulating the metabolic demands and the pace strategy during the middle section of endurance competitive events.

Non-exhaustive double effort test is reliable and estimates the first ventilatory threshold intensity in running exercise.

PURPOSE: The present study aimed to investigate the reliability of the non-exhaustive double effort (NEDE) test in running exercise and its associations with the ventilatory thresholds (VT1 and VT2) and the maximal lactate steady state (MLSS). METHODS: Ten healthy male adults (age: 23 ± 4 years, height: 176.6 ± 6.4 cm, body mass: 76.6 ± 10.7 kg) performed 4 procedures: (1) a ramp test for VT1 and VT2 determinations measured by ratio of expired ventilation to O2 uptake (VE/VO2) and expired ventilation to CO2 output (VE/VCO2) equivalents, respectively; (2) the NEDE test measured by blood lactate concentration (NEDELAC) and heart rate responses (NEDEHR); (3) a retest of NEDE for reliability analysis; and (4) continuous efforts to determine the MLSS intensity. The NEDE test consisted of 4 sessions at different running intensities. Each session was characterized by double efforts at the same running velocity (E1 and E2, 180 s), separated by a passive recovery period (90 s rest). LAC and HR values after E1 and E2 (in 4 sessions) were used to estimate the intensity equivalent to "null delta" by linear fit. This parameter represents, theoretically, the intensity equivalent to maximal aerobic capacity. RESULTS: The intraclass correlation coefficient indicated significant reliability for NEDELAC (0.93) and NEDEHR (0.79) (both p < 0.05). There were significant correlations, no differences, and strong agreement with the intensities predicted by NEDELAC (10.1 ± 1.9 km/h) and NEDEHR (9.8 ± 2.0 km/h) to VT1 (10.2 ± 1.1 km/h). In addition, despite significantly lower MLSS intensity (12.2 ± 1.2 km/h), NEDELAC and NEDEHR intensities were highly correlated with this parameter (0.90 and 0.88, respectively). CONCLUSION: The NEDE test applied to running exercise is reliable and estimates the VT1 intensity. Additionally, NEDE intensities were lower but still correlated with VT2 and MLSS.

Evaluation of maximal lactate steady state in middle-aged hypertensive women

Abstract AIM The aim of this study was to investigate the lactate response in physically inactive hypertensive women submitted to the treadmill maximal lactate steady state (MLSS) protocol. METHODS Twenty-two hypertensive women (40 - 64 years) performed a familiarization period of walking on the treadmill following by one incremental test for estimating the initial workload for exercise testing. MLSS protocol was composed by walking in a treadmill during thirty minutes with fixed velocity in 5.5 km/h. Incline was used for determination of the intensity of each volunteer. Blood samples were collected from the ear lobe in the rest period, minute 10th and at the end of the test (minute 30th or at exhaustion time point) for lactate analysis. RESULTS Hypertensive women showed a lower lactate concentration at MLSS (3.25 ± 0.81 mmol/L) as compared with data obtained in the literature (4 mmol/L), approximately 18.8%. Neither inclines nor age affected MLSS parameters in the population. A positive and strong correlation was found between incline and MLSS, as well as incline and lactate level at minute 30th, even when adjusted by age factor. CONCLUSION Physically inactive hypertensive women show a lower MLSS than the average established in the literature but within the range of variations previously reported. Furthermore, a higher MLSS incline correlates positive and directly with higher lactate concentrations for the same aerobic capacity regardless of age.

The Lactate Minimum Test: Concept, Methodological Aspects and Insights for Future Investigations in Human and Animal Models.

In 1993, Uwe Tegtbur proposed a useful physiological protocol named the lactate minimum test (LMT). This test consists of three distinct phases. Firstly, subjects must perform high intensity efforts to induce hyperlactatemia (phase 1). Subsequently, 8 min of recovery are allowed for transposition of lactate from myocytes (for instance) to the bloodstream (phase 2). Right after the recovery, subjects are submitted to an incremental test until exhaustion (phase 3). The blood lactate concentration is expected to fall during the first stages of the incremental test and as the intensity increases in subsequent stages, to rise again forming a "U" shaped blood lactate kinetic. The minimum point of this curve, named the lactate minimum intensity (LMI), provides an estimation of the intensity that represents the balance between the appearance and clearance of arterial blood lactate, known as the maximal lactate steady state intensity (iMLSS). Furthermore, in addition to the iMLSS estimation, studies have also determined anaerobic parameters (e.g., peak, mean, and minimum force/power) during phase 1 and also the maximum oxygen consumption in phase 3; therefore, the LMT is considered a robust physiological protocol. Although, encouraging reports have been published in both human and animal models, there are still some controversies regarding three main factors: (1) the influence of methodological aspects on the LMT parameters; (2) LMT effectiveness for monitoring training effects; and (3) the LMI as a valid iMLSS estimator. Therefore, the aim of this review is to provide a balanced discussion between scientific evidence of the aforementioned issues, and insights for future investigations are suggested. In summary, further analyses is necessary to determine whether these factors are worthy, since the LMT is relevant in several contexts of health sciences.

Aerobic Evaluation in Elite Slalom Kayakers Using a Tethered Canoe System: A New Proposal.

BACKGROUND: Among other aspects, aerobic fitness is indispensable for performance in slalom canoe. PURPOSE: To propose the maximal-lactate steady-state (MLSS) and critical-force (CF) tests using a tethered canoe system as new strategies for aerobic evaluation in elite slalom kayakers. In addition, the relationship between the aerobic parameters from these tests and the kayakers' performances was studied. METHODS: Twelve male elite slalom kayakers from the Brazilian national team participated in this study. All tests were conducted using a tethered canoe system to obtain the force records. The CF test was applied on 4 d and analyzed by hyperbolic (CFhyper) and linear (CFlin) mathematical models. The MLSS intensity (MLSSint) was obtained by three 30-min continuous tests. The time of a simulated race was considered the performance index. RESULTS: No difference (P < .05) between CFhyper (65.9 ± 1.6 N) and MLSSint (60.3 ± 2.5 N) was observed; however, CFlin (71.1 ± 1.7 N) was higher than MLSSint. An inverse and significant correlation was obtained between MLSSint and performance (r = -.67, P < .05). CONCLUSION: In summary, MLSS and CF tests on a tethered canoe system may be used for aerobic assessment of elite slalom kayakers. In addition, CFhyper may be used as an alternative low-cost and noninvasive method to estimate MLSSint, which is related with slalom kayakers' performance.

Lactate minimum underestimates the maximal lactate steady-state in swimming mice.

The intensity of lactate minimum (LM) has presented a good estimate of the intensity of maximal lactate steady-state (MLSS); however, this relationship has not yet been verified in the mouse model. We proposed validating the LM protocol for swimming mice by investigating the relationship among intensities of LM and MLSS as well as differences between sexes, in terms of aerobic capacity. Nineteen mice (male: 10, female: 9) were submitted to the evaluation protocols for LM and MLSS. The LM protocol consisted of hyperlactatemia induction (30 s exercise (13% body mass (bm)), 30 s resting pause and exhaustive exercise (13% bm), 9 min resting pause and incremental test). The LM underestimated MLSS (mice: 17.6%; male: 13.5%; female: 21.6%). Pearson's analysis showed a strong correlation among intensities of MLSS and LM (male (r = 0.67, p = 0.033); female (r = 0.86, p = 0.003)), but without agreement between protocols. The Bland-Altman analysis showed that bias was higher for females (1.5 (0.98) % bm; mean (MLSS and LM): 4.4%-6.4% bm) as compared with males (0.84 (1.24) % bm; mean (MLSS and LM): 4.5%-7.5% bm). The error associated with the estimated of intensity for males was lower when compared with the range of means for MLSS and LM. Therefore, the LM test could be used to determine individual aerobic intensity for males (considering the bias) but not females. Furthermore, the females supported higher intensities than the males. The differences in body mass between sexes could not explain the higher intensities supported by the females.

Severe Obesity Shifts Metabolic Thresholds but Does Not Attenuate Aerobic Training Adaptations in Zucker Rats.

Severe obesity affects metabolism with potential to influence the lactate and glycemic response to different exercise intensities in untrained and trained rats. Here we evaluated metabolic thresholds and maximal aerobic capacity in rats with severe obesity and lean counterparts at pre- and post-training. Zucker rats (obese: n = 10, lean: n = 10) were submitted to constant treadmill bouts, to determine the maximal lactate steady state, and an incremental treadmill test, to determine the lactate threshold, glycemic threshold and maximal velocity at pre and post 8 weeks of treadmill training. Velocities of the lactate threshold and glycemic threshold agreed with the maximal lactate steady state velocity on most comparisons. The maximal lactate steady state velocity occurred at higher percentage of the maximal velocity in Zucker rats at pre-training than the percentage commonly reported and used for training prescription for other rat strains (i.e., 60%) (obese = 78 ± 9% and lean = 68 ± 5%, P < 0.05 vs. 60%). The maximal lactate steady state velocity and maximal velocity were lower in the obese group at pre-training (P < 0.05 vs. lean), increased in both groups at post-training (P < 0.05 vs. pre), but were still lower in the obese group at post-training (P < 0.05 vs. lean). Training-induced increase in maximal lactate steady state, lactate threshold and glycemic threshold velocities was similar between groups (P > 0.05), whereas increase in maximal velocity was greater in the obese group (P < 0.05 vs. lean). In conclusion, lactate threshold, glycemic threshold and maximal lactate steady state occurred at similar exercise intensity in Zucker rats at pre- and post-training. Severe obesity shifted metabolic thresholds to higher exercise intensity at pre-training, but did not attenuate submaximal and maximal aerobic training adaptations.

Comparison of maximal lactate steady state with V2, V4, individual anaerobic threshold and lactate minimum speed in horses / Comparação da máxima fase estável do lactato com a V2, V4, o limiar anaeróbio individual e lactato mínimo em equinos

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.(AU)

O limiar anaeróbio é um evento fisiológico estudado em várias espécies. Sua mensuração possui vários métodos reconhecidos na literatura da fisiologia do exercício humano e equino, muitos deles envolvendo a relação entre a concentração sanguínea de lactato (LAC) e a carga de exercício. O objetivo do presente estudo foi comparar quatro desses métodos: V2 , V4 , limiar anaeróbio individual (LAI) e o teste do lactato mínino (LM) com o método reconhecido na literatura como o padrão ouro para a mensuração do limiar anaeróbio, a máxima fase estável do lactato (MFEL). Os cinco testes foram realizados em treze equinos árabes treinados, nos quais as velocidades e suas respectivas LAC puderam ser quantificadas. As velocidades médias e LAC associadas ao limiar anaeróbio aferido pelos cinco métodos foram respectivamente: V2 = 9,67±0,54; V4 = 10,98±0,47; V LAI = 9.81±0.72; V LM = 7,50±0,57 e V MFEL = 6,14±0,45m.s-1 ; e LAC LAI = 2,17±0,93; LAC LM = 1,17±0,62 e LAC MFEL = 0,84±0,21mmol.L-1. Nenhuma dessas velocidades foi estatisticamente igual à V MFEL (P<0,05). A V2 , a V4 e a V LM mostraram uma boa correlação com a V MFEL , respectivamente r = 0,74; r = 0,78 e r = 0,83, e a V LAI não se correlacionou significativamente com a V MFEL. A concordância entre os protocolos foi relativamente fraca, sendo 3,28±1,00; 4,84±0,30 e 1,43±0,32m.s-1 em termos de viés e limites de concordância a 95% para os métodos V2 , V4 e LM comparados à MFEL. Muitos autores relataram a possibilidade da mensuração do limiar anaeróbio pelo uso de protocolos rápidos, como a V4 e o LM, para humanos e equinos. O presente estudo corrobora a utilização desses testes, mas revela que ajustes nos protocolos são necessários para se obter uma melhor concordância entre os mesmos e a MFEL.(AU)

Comparison of maximal lactate steady state with V2, V4, individual anaerobic threshold and lactate minimum speed in horses / Comparação da máxima fase estável do lactato com a V2, V4, o limiar anaeróbio individual e lactato mínimo em equinos

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.

O limiar anaeróbio é um evento fisiológico estudado em várias espécies. Sua mensuração possui vários métodos reconhecidos na literatura da fisiologia do exercício humano e equino, muitos deles envolvendo a relação entre a concentração sanguínea de lactato (LAC) e a carga de exercício. O objetivo do presente estudo foi comparar quatro desses métodos: V2 , V4 , limiar anaeróbio individual (LAI) e o teste do lactato mínino (LM) com o método reconhecido na literatura como o padrão ouro para a mensuração do limiar anaeróbio, a máxima fase estável do lactato (MFEL). Os cinco testes foram realizados em treze equinos árabes treinados, nos quais as velocidades e suas respectivas LAC puderam ser quantificadas. As velocidades médias e LAC associadas ao limiar anaeróbio aferido pelos cinco métodos foram respectivamente: V2 = 9,67±0,54; V4 = 10,98±0,47; V LAI = 9.81±0.72; V LM = 7,50±0,57 e V MFEL = 6,14±0,45m.s-1 ; e LAC LAI = 2,17±0,93; LAC LM = 1,17±0,62 e LAC MFEL = 0,84±0,21mmol.L-1. Nenhuma dessas velocidades foi estatisticamente igual à V MFEL (P<0,05). A V2 , a V4 e a V LM mostraram uma boa correlação com a V MFEL , respectivamente r = 0,74; r = 0,78 e r = 0,83, e a V LAI não se correlacionou significativamente com a V MFEL. A concordância entre os protocolos foi relativamente fraca, sendo 3,28±1,00; 4,84±0,30 e 1,43±0,32m.s-1 em termos de viés e limites de concordância a 95% para os métodos V2 , V4 e LM comparados à MFEL. Muitos autores relataram a possibilidade da mensuração do limiar anaeróbio pelo uso de protocolos rápidos, como a V4 e o LM, para humanos e equinos. O presente estudo corrobora a utilização desses testes, mas revela que ajustes nos protocolos são necessários para se obter uma melhor concordância entre os mesmos e a MFEL.

Is the critical running speed related to the intermittent maximal lactate steady state?

The purpose of the present study was to compare the critical speed (CS) with the speed at the maximal lactate steady state (vMLSS) determined by a continuous and an intermittent model in trained runners. Eight male endurance runners (30.3 ± 10.6 years; 65.0 ± 8.5 kg; 1.73 ± 0.6 m; 11.3 ± 4.0% body fat) volunteered for this investigation and performed an incremental treadmill test, as well as 2-5 30-min constant speed tests to determine the MLSS continuous and MLSS intermittent (5 min of running, interspaced by 1 min of passive rest). The CS was determined by 2 maximal running efforts of 1500 and 3000 m performed on a 400 m running track. The CS was calculated as the slope of the linear regression of distance versus time. Statistical analysis revealed no significant difference between CS and MLSS determined by intermittent running (15.2 ± 1.0 km·h(-1) vs. 15.3 ± 0.7 km·h(-1), respectively), however, both were significantly higher than continuous MLSS (14.4 ± 0.6 km·h(-1)). There was also a significant correlation between CS and MLSS intermittent (r = 0.84, p = 0.008). On the basis of the present results, we conclude that for practical reasons (low cost, non-invasive) the CS is an interesting and alternative method to prescribe endurance interval training at maximal lactate steady state intensity, in preference to a continuous protocol.

Modelo de equilíbrio dinâmico: breve revisão da sua origem, implicações e novas perspectivas / Dynamic equilibrium model: review of its origin, approach and new projections

O Modelo de Equilíbrio Dinâmico (MED) assume a existência de uma intensidade máxima de exercício na qual seja possível observar um estado de equilíbrio fisiológico, o qual assegura o prolongamento do exercício. Até esta intensidade limite o exercício seria limitado pelos estoques de glicogênio muscular, mas acima desta, o acúmulo de metabólitos causaria a falha dos sistemas corporais e o término do exercício seria coincidente com o alcance de valores máximos em variáveis fisiológicas. Entretanto, o MED não se ajusta inteiramente aos resultados experimentais, pois estudos falharam em demonstrar um completo equilíbrio fisiológico em cargas iguais ou inferiores a esta intensidade limite. Adicionalmente, evidências mostram que nesta mesma faixa de intensidade, o término do exercício ocorre sem haver completa depleção nos estoques de glicogênio muscular. Inicialmente, o desalinhamento entre teoria e dados experimentais poderia ser devido, ao menos em parte, a um aspecto metodológico comum entre estudos anteriores: a ausência do término do exercício identificado na incapacidade da manutenção de uma potência mecânica requerida. A ausência do ponto de exaustão como critério do término do exercício pode ter gerado um artefato temporal nas medidas realizadas, não garantindo que cada medida temporal representasse a mesma fase de ajuste fisiológico ao exercício. Contudo estudos recentes do nosso grupo sugerem outra perspectiva para interpretação dos dados experimentais; a existência de equilíbrio fisiológico regulado pelos sistemas nervoso central e periférico, numa ampla faixa de intensidade de exercício.

The Dynamic Equilibrium Model (DEM) assumes the presence of a maximal exercise intensity at which a complete physiological steady state occurs, allowing the exercise to be prolonged. Up to this limit of intensity, the exercise would be limited by muscle glycogen storages, but above this the metabolic accumulation would lead to a bodily systems failure that would match with maximal values in physiological variables. However, the DEM does not agree with experimental results, because studies have failed to demonstrate a full physiological steady state during exercise at or below this limit of intensity. Additionally, evidences have shown that exercise terminates without complete muscle glycogen depletion within this intensity range. Initially, the disagreement between theory and experimental data could be due partially to a methodological aspect: the absence of exercise termination determined by the incapacity for maintaining a required power output. Such absence of an exhaustion point as criteria to establish the exercise termination could have caused a temporal artifact, not allowing that each temporal measure has indicated the same phase of physiological adjustment to the effort. Yet, recent findings of our group have suggested another perspective to interpret the experimental data; the existence of physiological steady state regulated by the central and peripheral nervous system within a broad exercise intensity range.

Determinação da potência mecânica no limite entre os domínios pesado/severo do crawl-atado / Measurement of mechanical power on the boundary of heavy/severe domain in the tethered-crawl

O objetivo deste estudo foi ajustar o modelo P-tLim à natação com o recurso do nado atado. Seu significado fisiológico para a descrição dos domínios pesado/severo foi obtido pelas relações com a velocidade crítica (VC), potência crítica (PC) e com máxima fase estável do lactato (MFEL). A velocidade correspondente a MFEL (vMFEL =1,17 ± 0,11 m/s) e a VC (1,19 ± 0,12 m/s) obtidas durante o nado desimpedido foram significantemente diferentes. Similarmente, a potência correspondente a MFEL (pMFEL = 89,2 ± 15,1 W) e a PC (99,4 ± 22,9 W) foram diferentes durante o nado atado. Não houve diferença da concentração de lactato na vMFEL (3,54 ± 0,9 mM) e pMFEL (3,76 ± 0,6 mM). Coeficientes de Pearson significativos (r > 0,70) foram observados entre os parâmetros vMFEL e pMFEL com seus respectivos pares do modelo tempo-limite. Assim, o nado atado parece ser válido para determinar os limites do domínio pesado/severo, podendo também ser utilizado para avaliar a capacidade aeróbia de nadadores.

The aim of this study was to access the P-tLim model in swimming, applying the load control available in full tethered swim condition. Its physiological meaning for the determination of boundary of heavy/severe domains was assessed from the relationships with critical velocity (CV), critical power (CP) and maximal lactate steady state (MLSS). The velocity at MLSS (vMLSS = 1.17 ± 0.11 m/s) and CV (1.19 ± 0.12 m/s) were significantly different. Similarly, the power at MLSS (pMFEL = 89.2 ± 15.1 W) and CP (99.4 ± 22.9 W) were significantly different. There was no difference between lactate concentration at vMLSS (3.54 ± 0.9 mM) and pMLSS (3.76 ± 0.6 mM). Significant Pearson’s coefficients (r > 0.70) were observed among vMLSS and PMLSS with their respective values on time-limited model. Thus, the tethered-crawl condition seems to be valid to determine the boundary of heavy/severe domains, and to access the aerobic capacity of swimmers.

Métodos de quantificação de carga de treinamento em exercício realizado no máximo estado estável de lactato / Methods of quantification of training load in exercise performed at maximal lactate steady state

O objetivo do presente estudo foi comparar e correlacionar as estimativas de impulso de treinamento (TRIMP) propostos por Banister (TRIMPBanister), Stagno (TRIMPStagno) e Manzi (TRIMPManzi). Os participantes foram submetidos a um teste progressivo em cicloergômetro, com registro da frequência cardíaca e da concentração de lactato sanguíneo. Em uma segunda ocasião, realizaram 30 min. de exercício na intensidade correspondente ao máximo estado estável de lactato, a partir do qual foram calculados o TRIMPBanister, TRIMPStagno e TRIMPManzi. Os valores médios de TRIMPBanister (56,5 ± 8,2 u.a.) e TRIMPStagno (51,2 ± 12,4 u.a.) não diferiram entre si (P > 0,05) e foram altamente correlacionados (r = 0,90), com boa concordância, ou seja, viés reduzido e limites de concordância relativamente estreitos. O TRIMPStagno e TRIMPManzi (73,4 ± 17,6 u.a.) apresentarem alta correlação (r = 0,93), mas com diferença significantes entre eles; ainda, se mostraram pouco concordantes. As estimativas de TRIMPBanister e TRIMPManzi não foram diferentes (P = 0,06) e apresentaram alta correlação (r = 0,82), com baixa concordância. Assim, conclui-se que os métodos de TRIMP não são equivalentes. Na prática, parece ser prudente monitorar o processo de treinamento assumindo apenas uma das estimativas.

The aim of the present study was to compare and correlate training impulse (TRIMP) estimates proposed by Banister (TRIMPBanister), Stagno (TRIMPStagno) and Manzi (TRIMPManzi). The subjects were submitted to an incremental test on cycle ergometer with heart rate and blood lactate concentration measurements. In the second occasion, they performed 30 min. of exercise at the intensity corresponding to maximal lactate steady state, and TRIMPBanister, TRIMPStagno and TRIMPManzi were calculated. The mean values of TRIMPBanister (56.5 ± 8.2 u.a.) and TRIMPStagno (51.2 ± 12.4 u.a.) were not different (P > 0.05) and were highly correlated (r = 0.90). Besides this, they presented a good agreement level, which means low bias and relatively narrow limits of agreement. On the other hand, despite highly correlated (r = 0.93), TRIMPStagno and TRIMPManzi (73.4 ± 17.6 u.a.) were different (P < 0.05), with low agreement level. The TRIMPBanister e TRIMPManzi estimates were not different (P = 0.06) and were highly correlated (r = 0.82), but showed low agreement level. Thus, we concluded that the investigated TRIMP methods are not equivalent. In practical terms, it seems prudent monitor the training process assuming only one of the estimates.