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    Assessing Acute Responses to Exercises Performed Within and at the Upper Boundary of Severe Exercise Domain
    (Routledge Journals, Taylor & Francis Ltd, 2023) Norouzi, Mahdi; Cabuk, Refik; Balci, Gorkem Aybars; As, Hakan; Ozkaya, Ozgur
    Purpose: The highest work-rate that provides maximal oxygen uptake (<(V)over dot> O-2max) may be one of the best exercise stimuli to yield both <(V)over dot> O-2max and lactate accumulation. The aim of this study was to analyze physiological and metabolic acute responses of an exercise modality performed at the upper boundary of the severe exercise domain, and compare those responses with exercise modalities applied within the severe exercise domain. Method: Ten trained male cyclists participated in this study. The <(V)over dot> O-2max, corresponding power output (POVO2max), and the highest work-rate that provides the <(V)over dot> O-2max (IHIGH) were determined by constant work-rate exercises. Cyclists performed three high-intensity interval training (HIIT) strategies as follows; HIIT-1: 4-6 x 3-min at 95% of POVO2max with 1:1 (workout/rest ratio); HIIT-2: 16-18 x 1-min at 105% of POVO2max with 1:1; HIIT-3: 4-7 x 1-2-min at the IHIGH with 1:2. Capillary blood samples were analyzed before, immediately after HIIT sessions, and at the first, third, and fifth minutes of recovery periods. Lactate difference between the highest lactate response and resting status was considered as the peak lactate response for each HIIT modality. Results: Time spent at <(V)over dot> O-2max was greater at HIIT-1 and HIIT-3 (272 +/- 127 and 208 +/- 111 seconds, respectively; p = 0.155; effect size = 0.43) when compared to the HIIT-2 (similar to 26 seconds; p < 0.001), while there was a greater lactate accumulation at HIIT-3 (similar to 16 mmol.L- 1) when compared to HIIT-1 and HIIT-2 (12 and 14 mmol.L-1, respectively; p < 0.001). Conclusions: In conclusion, HIIT-3 performed at IHIGH was successful to provide time spent at <(V)over dot> O-2max with a greater lactate accumulation in a single session.
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    Grey Zone: A Gap Between Heavy and Severe Exercise Domain
    (Lippincott Williams & Wilkins, 2022) Ozkaya, Ozgur; Balci, Gorkem Aybars; As, Hakan; Cabuk, Refik; Norouzi, Mahdi
    Ozkaya, O, Balci, GA, As, H, Cabuk, R, and Norouzi, M. Grey zone: A gap between heavy and severe exercise domain. J Strength Cond Res 36(1): 113-120, 2022-The aim of this study was to determine a critical threshold (CT) interpreted as the highest exercise intensity where V?o(2) can be stabilized before reaching 95% of V?o(2)max (V?o(2)peak) and compare it with commonly used anaerobic threshold indices. Ten well-trained male cyclists volunteered for this study. Ventilatory threshold (VT) was determined from incremental tests. Multisession constant-load trials were performed to reveal V?o(2)max. Mathematically modeled critical power (CP) was estimated through the best individual fit parameter method. Maximal lactate steady state (MLSS) was detected by 30-minute constant-load exercises. The individual CT load of each cyclist was tested by constant-load exercises to exhaustion with +15 W intervals until minimal power output to elicit V?o(2)peak. The results showed that work rate corresponding to CT (329.5 +/- 41.5 W) was significantly greater than that of the MLSS (269.5 +/- 38.5 W; p = 0.000), VT (279.6 +/- 33 W; p = 0.000), and CP (306.3 +/- 39.4 W; p = 0.000), and CP overestimated both VT and MLSS (p = 0.000). There was no significant V?o(2) difference between the 10th and 30th minute of MLSS and MLSS + 15 W exercise (0.36-0.13 ml center dot min(-1)center dot kg(-1); p = 0.621). Exercising V?o(2) response of MLSS + 15 W could not exceed the level of 95% V?o(2)max (57.02 +/- 3.87 ml center dot min(-1)center dot kg(-1) and 87.2 +/- 3.1% of V?o(2)max; p = 0.000), whereas V?o(2) responses greater than 95% of V?o(2)max were always attained during exercises performed at CT + 15 W (64.52 +/- 4.37 ml center dot min(-1)center dot kg(-1) and 98.6 +/- 1% of V?o(2)max; p > 0.05). In conclusion, this study indicates that there is a grey zone between heavy and severe exercise domain. This information may play a key role in enhancing athletic performance by improving the quality of training programs.
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    High-Intensity Interval Training with Cycling and Calisthenics: Effects on Aerobic Endurance, Critical Power, Sprint and Maximal Strength Performance in Sedentary Males
    (Federacion Espanola de Docentes de Educacion Fisica, 2022) Kul, Murat; Turkmen, Mutlu; Yildirim, Umit; Ceylan, Ramazan; Sipal, Onur; Cabuk, Refik; Akova, Abdullah
    TABATA protocol is considered to be one of the most effective strategies among high-intensity interval training (HIIT) methods. A limited number of studies have compared the chronic effects of cycling-based and calistenic HIIT in TABATA-type. The aim of this study was to compare the chronic effects of a 8-week TABATA-type calisthenic high-intensity interval and high-intensity interval in cycling on aerobic endurance, sprint and maximal strength performance in sedentary men. 17 sedentary males participated in our study. Participants were randomly divided into calisthenic HIIT (n=9) and cycling HIIT (n=8) groups. Training groups were given 3-sessions of exercise per week on non-consecutive days for 8 weeks. Before and after the 8-week training, the body mass, body mass index, fat percentage, 30-m sprint, 1-repetition maximal strength, aerobic power and critical power levels of the participants were determined. No statistically significant different was observed in body mass (p=0.917), body mass index (p=0.928), and body fat ratio (p=0.980) in both training groups. However, both training groups achieved statistically significant improvements in peak power output (p=0.017), maximal oxygen consumption (p=0.040) and critical power (p=0.048), and there was no significant difference in the level of improvement between the groups (p>0.05). There was no statistically significant difference in 1 repetition maximal strength and sprint values of both training groups (p<0.05). TABATA type HIIT performed calistenic provides chronic effects similar to that of interval cycling form. © 2022 Federacion Espanola de Docentes de Educacion Fisica. All rights reserved.
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    High-Intensity IntervalTraining with Cycling and Calisthenics: Effects on Aerobic Endurance, Critical Power, Sprint and Maximal Strength Performance in Sedentary Males
    (Federacion Espanola Asoc Docentes Educacion Fisica-Feadef, 2022) Kul, Murat; Turkmen, Mutlu; Yildirim, Umit; Ceylan, Ramazan; Sipal, Onur; Cabuk, Refik; Akova, Abdullah
    TABATA protocol is considered to be one of the most effective strategies among high-intensity interval training (HIIT) methods. A limited number of studies have compared the chronic effects of cycling-based and calistenic HIIT in TABATA-type. The aim of this study was to compare the chronic effects of a 8-week TABATA-type calisthenic high-intensity interval and highintensity interval in cycling on aerobic endurance, sprint and maximal strength performance in sedentary men. 17 sedentary males participated in our study. Participants were randomly divided into calisthenic HIIT (n=9) and cycling HIIT (n=8) groups. Training groups were given 3-sessions of exercise per week on non-consecutive days for 8 weeks. Before and after the 8-week training, the body mass, body mass index, fat percentage, 30-m sprint, 1-repetition maximal strength, aerobic power and critical power levels of the participants were determined. No statistically significant different was observed in body mass (p=0.917), body mass index (p=0.928), and body fat ratio (p=0.980) in both training groups. However, both training groups achieved statistically significant improvements in peak power output (p=0.017), maximal oxygen consumption (p=0.040) and critical power (p=0.048), and there was no significant difference in the level of improvement between the groups (p 0.05). There was no statistically significant difference in 1 repetition maximal strength and sprint values of both training groups (p<0.05). TABATA type HIIT performed calistenic provides chronic effects similar to that of interval cycling form.
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    The success of critical velocity protocol on predicting 10000 meters running performance
    (Iermakov S S, 2023) Cabuk, Baris; Demirarar, Onur; Cin, Merve; Cabuk, Refik; Ozcaldiran, Bahtiyar
    Background and Study Aim The study aims to evaluate which of the critical velocity (CV) estimates of the three widely used models and the best-fit model successfully predict the running performance of 10000 meters. Material and Methods The group of participants in this study consisted of 11 British endurance athletes. The CV estimations were obtained from the models with the athletes' running velocity and exhaustion times of 1500, 3000, and 5000 meters (m). The information was taken from a website where the results of the British athletes are recorded. In terms of selecting endurance athletes, the data of the athletes who ran 1500 m, 3000 m, 5000 m, and 10000 m in the same two years were included in this study. By fitting the data into mathematical models, the CV estimates of the three mathematical models and the individual best-fit model were compared with the 10000 m running velocity. The CV estimates were obtained by fitting the relevant data on the running velocity, exhaustion time, and running distance of the three running distances of athletes to each of the three mathematical models. Results 10000 m running velocity and times of the athletes corresponded to 19.65 +/- 1.26 km/h and 30.4 +/- 1.94 minutes, respectively. The CV values obtained from the three mathematical models and 10000 m running velocity were similar (p > 0.05). Although the lowest total standard error levels were obtained with the best individual fit method, the 10000 m running velocity was overestimated (p < 0.05). Conclusions Three mathematical models predicted 10000 meters of race velocity when an exhaustion interval between 2-15 minutes was used. Even though the mathematically most valid CV value was obtained with the best individual fit method, it overestimated the 10000 m running velocity. When comparing the values of CV and the velocity of running 10,000 meters, our study suggests using the model. This is because the model has the smallest effect size, and there is no statistically significant difference in the total standard error level between the model and the best-fit model.