Association between anaerobic components of the maximal accumulated oxygen deficit and 30-second Wingate test

Bertuzzi, Rômulo Cássio de Moraes; Kiss, Maria Augusta P. D.; Damasceno, Marcelo Loquette; Oliveira, Rodrigo S. F.; Lima‐Silva, Adriano Eduardo

doi:10.1590/1414-431x20144043

Cited by 31 publications

(52 citation statements)

References 30 publications

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“…Therefore, the energy metabolism required to resynthesize lactic acid *Correspondence: fumiya.tanji@jpnsport.go.jp is significant during an 800m run. It is therefore considered that middle-distance runners have a high anaerobic energy metabolism and lactic acid resynthesis capacity, and AOD per 1 mM of ΔbLa in such runners would be different from data obtained using the values in previous studies [6][7][8][9] .…”

Section: Introductionmentioning

confidence: 83%

“…The AOD per 1 mM of ΔbLa has been considered to be 3.0 mLO2 · kg −1 · mM −1 by many researchers [6][7][8][9] . However, our study showed that the value was 19% higher, which suggested that use of the conventional coefficient underestimates research results obtained during supramaximal running of competitive athletes.…”

Section: Discussionmentioning

confidence: 99%

“…di Prampero & Ferretti 5) observed a relationship between accumulated blood lactate concentration (ΔbLa) and accumulated oxygen deficit (AOD), and demonstrated that AOD could be estimated from ΔbLa; the coefficient for AOD is 3.0 mLO2 · kg −1 · mM −1 . Many researchers [6][7][8][9] use this value to estimate the anaerobic energy metabolism from ΔbLa. However, this coefficient was calculated by having subjects perform arm or leg crank exercises at submaximal intensity (80% V ・ O2max) 10) .…”

Section: Introductionmentioning

confidence: 99%

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Estimation of accumulated oxygen deficit from accumulated blood lactate concentration during supramaximal running in middle-distance runners

Tanji

Tsuji

Shimazu

et al. 2017

JPFSM

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The maximal accumulated oxygen deficit (MAOD), which is the gold standard for anaerobic energy metabolism capacity, requires multiple tests for evaluation that impose a heavy load on subjects. The maximal accumulated blood lactate (ΔbLa) concentration is also a measure of anaerobic energy metabolism capacity, and is related to the accumulated oxygen deficit (AOD). Thus, AOD has been estimated by using ΔbLa (3.0 mLO 2 · kg −1 · mM −1 ), but it is unclear if this coefficient is suitable for measurement of supramaximal running of athletes. The purpose of this study was to clarify the estimated expression of AOD by using ΔbLa from the relationship between MAOD and ΔbLa during supramaximal running in middle-distance runners. Eleven male middle-distance runners (800m running velocity: 425.3 ± 7.3 m·min −1 ) took part in this study. They performed three running tests (maximal, submaximal and supramaximal running test) to evaluate MAOD and ΔbLa. MAOD and ΔbLa were 56.6 ± 6.0 mLO 2 · kg −1 and 9.9 ± 1.1 mmol · L −1 , respectively. We observed a significant positive relationship between MAOD and ΔbLa (r = 0.73); the regression line equation was y = 3.58x + 18.6. Results showed that the AOD per mM of the ΔbLa of athletes was 3.58 mLO 2 · kg −1 , which was 19% higher than the conventional coefficient value.

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Section: Introductionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of accumulated oxygen deficit from accumulated blood lactate concentration during supramaximal running in middle-distance runners

Tanji

Tsuji

Shimazu

et al. 2017

JPFSM

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“…The relation between bLa and anaerobic energy metabolism can be observed since bLa is increased when an anaerobic energy metabolism is recruited. 34) di Prampero et al 22) and other researchers 20,23,35,36) have calculated anaerobic energy production as 3.0 mLO2·kg −1 per 1 mmol·L −1 blood lactate accumulation; this method of calculation was used in the present study. Table 4.…”

Section: Discussionmentioning

confidence: 99%

Relation between 1,500-m running performance and running economy during high-intensity running in well-trained distance runners

Tanji

Shirai

Tsuji

et al. 2017

JPFSM

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Running economy (RE), which is evaluated at an exercise intensity below the lactate threshold (LT), is recognized as the most important physiological variable for estimating running performance. However, middle-and long-distance athletes run above LT intensity during their competitive events. This study elucidates the relation between 1,500-m running performance and physiological variables, including RE measured at intensities below and above the LT. The study included 34 male distance runners (1,500-m velocity: 22.2 ± 0.8 km·h −1 , equivalent to race times of 4′03″2 ± 8″5). RE was calculated at four running velocities selected to provide intensities of 90%LT and 95%LT below LT (REbLT) and 105%LT and 110%LT above LT (REaLT). RE was determined from aerobic energy metabolism, calculated from oxygen uptake and the respiratory exchange ratio, combined with anaerobic energy metabolism, calculated from the change in blood lactate concentration. Results show that the 1,500-m velocity was not related to maximal oxygen uptake (V ・ O 2 max) or LT intensity (r = 0.19 and 0.10, respectively). This velocity correlated with both REaLT and REbLT, with the correlation coefficient being higher for REaLT (r = −0.65 and −0.71 vs −0.56 and −0.58). Furthermore, the coefficient of determination for 1,500-m velocity determined from V ・ O 2 max, LT intensity and REaLT was higher than that determined from V ・ O 2 max, LT intensity and REbLT (R 2 = 0.603 and 0.640 vs 0.415 and 0.543). These results suggest that RE measured at an intensity above LT intensity may be better than other physiological variables for estimating 1,500-m running performance.

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“…26,27 Resting and peak blood lactate were recorded. Lactic anaerobic contribution was calculated by multiplying the ΔBL Peak-Resting by 3 as previously described using this estimation method in human subjects, 26,[28][29][30][31] and horses. 32 Calculated contributions (mL) were then converted into kJ (1 L O 2 = 20.92 kJ)…”

Section: Peak Exercise Testmentioning

confidence: 99%

Efficacy of dexamethasone, salbutamol, and reduced respirable particulate concentration on aerobic capacity in horses with smoke‐induced mild asthma

Bond

Greco‐Otto

MacLeod

et al. 2020

Veterinary Internal Medicne

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Background Mild asthma in horses decreases racing performance and impairs gas exchange. The efficacy of treatment on performance is unknown. Hypothesis Treatment targeting lung inflammation improves V˙O2peak in horses with mild asthma. Animals Thoroughbred polo horses (n = 12) with smoke‐induced mild asthma. Horses were exposed to increased ambient particulate matter (35.51 μg/m3 [PM2.5]; day mean, centrally measured) from day −33 to 0, from bushfire smoke (natural model). Methods Prospective, randomized, placebo‐controlled, double‐blinded clinical trial. All horses completed 3 V˙O2peak tests, measuring aerobic and anaerobic variables: day 0 ‐baseline; day 16 ‐after dexamethasone (20 mg IM q24h; DEX, n = 6) or saline treatment (SALINE, n = 6), under improved ambient PM2.5 concentrations (7.04 μg/m3); day 17‐15‐30mins after inhaled salbutamol (1500 μg). Bronchoalveolar lavage and mucus scoring were performed on day −8 and day 20. Linear mixed effects models were used to examine the effects of timepoint and treatment group on BAL differential cell counts, mucus scores, aerobic and anaerobic variables. Results Horses’ mucus scores improved significantly from day −8 to 20 by 1.27 ± .38 (P = .01). There was a significant increase in V˙O2peak of 15.5 ± 4.0 mL(min.kg)−1 from day 0 to 17 (P = .002), representing an average (mean) increase in V˙O2peak of 13.2%. There was no difference in V˙O2peak between treatment groups (SALINE versus DEX) at any timepoint. Conclusions and Clinical Importance This study highlighted the key role of improved air quality on functionally important airway inflammation. Evidence provided is central to increasing owner compliance regarding improved air quality for the treatment and prevention of mild asthma.

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Association between anaerobic components of the maximal accumulated oxygen deficit and 30-second Wingate test

Cited by 31 publications

References 30 publications

Estimation of accumulated oxygen deficit from accumulated blood lactate concentration during supramaximal running in middle-distance runners

Estimation of accumulated oxygen deficit from accumulated blood lactate concentration during supramaximal running in middle-distance runners

Relation between 1,500-m running performance and running economy during high-intensity running in well-trained distance runners

Efficacy of dexamethasone, salbutamol, and reduced respirable particulate concentration on aerobic capacity in horses with smoke‐induced mild asthma

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