Predição da performance de corredores de endurance por meio de testes de laboratório e pista

Souza, Kristopher Mendes de; Lucas, Ricardo Dantas de; Grossl, Talita; Costa, Vitor Pereira; Guglielmo, Luiz Guilherme Antonacci; Denadai, Benedito Sérgio

doi:10.5007/1980-0037.2014v16n4p465

Cited by 9 publications

(10 citation statements)

References 25 publications

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“…However, CV TRACK was strongly associated (~99%) to the v3000m variation, and also CV TREADMILL and vVȮ 2 max, but with lower explanatory potentials (~94% and ~89%, respectively). This result can be explained by the environmental specificity, which tends to provide aerobic evaluation parameters with greater associative potential with time, or performance velocity, as the highest vVȮ 2 max associations in track (78% and 66%, respectively), compared to vVȮ 2 max associations in treadmill (62% and 35%, respectively) with performance at 1500 m (t Lim : 4.8 ± 0.2 min) and 5000 m (t Lim : 18.2 ± 0.8 min) 27 . However, for Busso and Chatagnon 28, an aerobic capacity indicator becomes relevant to estimate the performance in medium distances as the performance time is close to 10 minutes.…”

Section: Discussionmentioning

confidence: 99%

Avaliação da velocidade crítica de corrida em pista e esteira: perfis fisiológicos e relações com o desempenho em 3000 metros

Massini

Caritá

Siqueira

et al. 2018

Rev. Bras. Cineantropom. Desempenho Hum.

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The present study aiming to verify the interference of different conditions (treadmill vs. track) on critical velocity (CV) values, as well as on the correlation to the 3000-meter performance (v3000m), and thus infer about the specificity of each values as training parameter for this distance. Seven runners (15.3±1.4 years) were submitted to a maximal progressive test (1.0 km×h -1 increments per minute until exhaustion) to assess VȮ 2 max and maximal aerobic velocity (vVȮ 2 max). Subsequently, CV was estimated from three running performances at each test condition, with exercise intensities adjusted for different time limits (t Lim ) at 900, 2100 and 3300 meters in track or at 90, 95 and 115% of vVȮ 2 max in treadmill. From linear adjustments, using stepwise method, CV was assessed on treadmill (CV TREADMILL ) and track (CV TRACK ), and both compared by the Mann-Whitney test. The sample-adjusted dispersion coefficient (R 2 adj ) analyzed the variance of v3000m with CV TRACK , CV TREADMILL and vVȮ 2 max. In all analyses, significance was set at P≤0.05. In progressive test, VȮ 2 max reached 54.2±5.2 mLO 2 ×kg -1 ×min -1 and vVȮ 2 max reached 16.8±1.9 km×h -1 . No differences were observed between CV TREADMILL and CV TRACK (14.0±1.8 vs. 12.3±3.2 km×h -1 , P=0.46). Correlations were observed for v3000m with CV TREADMILL (R 2 adj ~0.94), CV TRACK (R 2 adj ~0.99) and vVȮ 2 max (R 2 adj ~0.90), all showing P=0.001. It could be concluded that no influence was observe on the ability to achieve identical CV values from different assessment conditions. The correlation to the v3000 meters suggested better specificity of CV TRACK than CV TREADMILL for training prescription and performance control.

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Section: Discussionmentioning

confidence: 99%

Avaliação da velocidade crítica de corrida em pista e esteira: perfis fisiológicos e relações com o desempenho em 3000 metros

Massini

Caritá

Siqueira

et al. 2018

Rev. Bras. Cineantropom. Desempenho Hum.

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“…This UMTT presents reliable measures for evaluating vV̇O 2 max and estimating V̇O 2 max , as verified by another study ( Leger and Boucher, 1980 ), which showed positive correlations values r = 0.97 and a difference of 0.03 ± 0.05 m between the two measurements and was used to study recreational runners ( Jiménez-Pavón et al, 2015 ). The test was started at a speed of 7 km⋅h –1 with increments of 1 km⋅h –1 every two min of running, as previously described ( Souza et al, 2014 ). The evaluation ended when the individual was unable to reach the sound signal three times in a row, with its passage through the respective cone.…”

Section: Methodsmentioning

confidence: 99%

“…The estimation of maximum oxygen consumption (V̇O 2 max ) was calculated from the equation below ( Souza et al, 2014 ):…”

Section: Methodsmentioning

confidence: 99%

Physiological and Performance Impacts After Field Supramaximal High-Intensity Interval Training With Different Work-Recovery Duration

et al. 2020

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High-intensity interval training (HIIT) has numerous external load control variables. The management of these variables makes the physiological responses and performance presented by athletes also modify. The present study aimed to assess the activity of CK and LDH enzymes, performance and metabolic responses caused by two HIIT protocols above the maximum in male recreational runners. Fifteen recreational male runners performed two HIIT protocols in randomized order with multiple conditions: 1) H15 ( n = 15), with a HIIT protocol of 15:15 work-recovery duration, and 2) H30 ( n = 15) with a HIIT protocol of 30:30 work-recovery duration. Both protocols were performed at similar intensity (130% vV̇O 2 max ), one set until voluntary exhaustion. Blood samples were collected and used to capture the levels and activities of blood lactate (BLac: mmol⋅L –1 ), glucose (GLU: mg⋅dL –1 ), creatine kinase (CK: U⋅L –1 ), and lactate dehydrogenase (LDH: U⋅L –1 ). BLac and GLU were collected at pre, five, and ten minutes after the H15 and H30 protocols were performed. Blood samples were used to measure the activities of CK and LDH enzymes, which were verified 24 h before and 48 h after the protocols. The distance traveled (m), total time (s), and bouts performed (rep) were also registered. Significant differences between conditions H15 and H30 were observed in the bouts performed ( p = 0.001; ES = 1.19). Several statistical differences were found over time for BLac [pre vs. post 5 (both conditions: p = 0.001), pre vs. post 10 (both conditions: p = 0.001), and post 5 vs. post 10 (H30: p = 0.004)], CK [pre vs. post 24 (H15: p < 0.001; ES = 0.97 and H30: p = 0.001; ES = 0.74) post 24 vs. post 48 (H30: p = 0.03; ES = 0.56)], and LDH [pre vs. post24 (H15: p = 0.008; ES = 1.07 and H30: p = 0.022; ES = 0.85). No statistical differences between conditions were observed for any blood parameter. Thus, the volunteers exhibited equal performance in both protocols, which resulted in a similar physiological response. Despite this similarity, in comparison to H15, the H30 protocol presented lower CK activity post 48 and lactate levels after 10 min post protocol.

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“…Some authors have so far presented a series of potential physiological variables traditionally investigated as predictors or determinants of performance in long-distance races, such as maximum oxygen uptake (VO 2MAX ), anaerobic threshold (AT), critical velocity (CV), running economy, maximum aerobic velocity, velocity associated with VO 2MAX and AT, among others (da Silva, Sotero, Simões, & Machado, 2015;Denadai, Ortiz, Stella, & Mello, 2003;Ogueta-Alday & Gácia-López, 2015;T. M. Santos, et al, 2012;Smith & Jones, 2001;Souza et al, 2014). However, due to the detriment of distance and duration of a race, performance seems to be influenced not only by the physiological variables, but also by anthropometric parameters, race strategy, age, gender, and supplementation strategy and they should also be considered (Santos, et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Studies analyzed running speed during a 10-km race and identified an association between physiological parameters and running speed (Bertuzzi, et al, 2014;Lima-Silva, et al, 2010), by both field methods and laboratory tests. Among the laboratory methods, the anaerobic threshold (AT) seems to be a good predictor of running speed because it represents the moment of transition from the predominance of aerobic energy production to the anaerobic energy production (Faude, Kindermann, & Meyer, 2009) and has been described in some studies with runners (da Silva, et al, 2015;Souza, et al, 2014Souza, et al, , 2011 since AT corresponds to an intensity of effort that can be maintained with a stable state of oxygen and lactate consumption .…”

Section: Introductionmentioning

confidence: 99%

Agreement and reproducibility of field and laboratory tests in the prediction of running speed in a 10-km race in amateur runners

Ribeiro

Corrêa

Lima

et al. 2020

Kinesiology (Zagreb, Online)

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Knowing running speed, particularly by means of easy-to-apply tests and low cost, is important for the definition of the race strategy and the most appropriate training throughout the preparation period. The aim was to compare the agreement and reproducibility of critical velocity (CV), anaerobic threshold (AT), and the simulated time trial on the track for the determination of the running speed in a 10-km race in amateur runners. A cross-sectional study was conducted with 34 runners of both genders aged 42.4±11.0 years. We measured their CV, assessed their body composition and AT. Participants performed also a simulated time trial on a 10-km running track and an official 10-km race. The delta of the comparisons and the standard error of estimate between the running velocities determined by the CV, AT, and the simulated time trial on the track ranged from 0.55 to -0.79 km/h and 0.14 to 0.59 km/h, respectively. Furthermore, CV and AT were compared to the 10-km running speed. Good agreement and reproducibility were observed between the velocities determined by the CV, AT, and the simulated time trial on the track with the real-time of a 10-km official race.

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Predição da performance de corredores de endurance por meio de testes de laboratório e pista

Cited by 9 publications

References 25 publications

Avaliação da velocidade crítica de corrida em pista e esteira: perfis fisiológicos e relações com o desempenho em 3000 metros

Avaliação da velocidade crítica de corrida em pista e esteira: perfis fisiológicos e relações com o desempenho em 3000 metros

Physiological and Performance Impacts After Field Supramaximal High-Intensity Interval Training With Different Work-Recovery Duration

Agreement and reproducibility of field and laboratory tests in the prediction of running speed in a 10-km race in amateur runners

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