scholarly journals Relevance of a Sprint Interval Swim Training Set to the 100‐Meter Freestyle Event Based on Blood Lactate and Kinematic Variables

2021 ◽  
Vol 80 (1) ◽  
pp. 153-161
Author(s):  
Elissavet Terzi ◽  
Ariadni Skari ◽  
Stefanos Nikolaidis ◽  
Konstantinos Papadimitriou ◽  
Athanasios Kabasakalis ◽  
...  
Keyword(s):  
Blood Lactate ◽  
Interval Training ◽  
Stroke Index ◽  
Training Set ◽  
Improve Performance ◽  
Training Experience ◽  
Performance Variables ◽  
Measured Speed ◽  
Event Based ◽  
Competitive Swimmers

Abstract Sprint interval training (SIT) sets are commonly used by coaches in the training routine of swimmers competing in short-distance events; however, data regarding their relevance to competitive events are scarce. The aim of this study was to examine whether performance variables differed or correlated between a 4 × 50-m maximal swimming set (with a work-to-rest ratio of 1:4) and the 100-m freestyle event. Eleven male and 16 female competitive swimmers aged 16.1 ± 1.1 years participated in the study. All swimmers trained at least six times a week and had training experience of more than 4 years. They completed the two freestyle tests on different days, in random and counterbalanced order. In each test, speed, blood lactate, stroke rate (SR), and stroke index (SI) were measured. Speed, blood lactate, and SR were higher at the 4 × 50 m compared to the 100 m and were positively correlated between tests (p < 0.001). The SI did not differ significantly, but was positively correlated between tests. Males were faster and had a higher SI than females, but genders did not differ in lactate. Since performance variables were better in the SIT set and correlated with those in the 100-m bout, we suggest that the 4 × 50-m set can be used to improve performance in the 100-m freestyle event. Moreover, this set can help coaches identify which swimmers will swim fastest in the event.

scholarly journals Do Performance Parameters Compare Between an Anaerobic Set and the 100-M Event in Swimming?

Proceedings ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 34
Author(s):  
Terzi ◽  
Skari ◽  
Nikolaidis ◽  
Papadimitriou ◽  
Kabasakalis ◽  
...  
Keyword(s):  
Blood Lactate ◽  
Short Distance ◽  
Statistical Significance ◽  
Stroke Index ◽  
Performance Parameters ◽  
Training Set ◽  
Time Test ◽  
Competitive Swimmers ◽  
Peak Blood ◽  
Peak Blood Lactate

AIM: Anaerobic interval sets are commonly used in the training program of swimmers competing in short-distance events. However, data regarding the way that these sets compare to the competitive events are lacking. The aim of this study was to examine if there are differences in speed, blood lactate, stroke rate (SR), and stroke index (SI) between an anaerobic set of 4 × 50 m maximal swimming with work-to-rest ratio of approximately 1:4 and the 100-m event in freestyle stroke. MATERIAL & METHOD: Twenty-seven competitive swimmers (11 males, 16 females), aged 16.1 ± 1.1 years, completed the two tests on different days, in a random counterbalanced order. In each test, blood lactate was measured before and repeatedly after exercise through a portable lactate analyzer. Time and SR were recorded for each 50 m of the tests, and speed and SI were subsequently calculated. Three-way analysis of variance (time × test × gender) and Pearson’s correlation analysis were used. The level of statistical significance was set at α = 0.05. RESULTS: Average speed was higher at 4 × 50 m compared to 100 m (1.62 ± 0.10 and 1.56 ± 0.10, respectively, p < 0.001) and was correlated between tests (r = 0.930, p < 0.001). Peak blood lactate after 4 × 50 m was higher compared to 100 m (14.8 ± 3.1 and 10.9 ± 3.3 mmol/L, respectively, p < 0.001) and was correlated between tests (r = 0.640, p < 0.001). Average SR was higher in 4 × 50 m compared to 100 m (47.0 ± 3.6 and 44.5 ± 3.2 cycles/min, respectively, p < 0.001) and was correlated between tests (r = 0.836, p < 0.001). Average SI did not differ but was correlated between tests (r = 0.937, p < 0.001). Males had higher SR and SI and were faster than females (p < 0.05) but did not differ from females regarding lactate. CONCLUSIONS: Based on the aforementioned differences and correlations, the 4 × 50 m training set could be used to improve the parameters that have impact on performance in the 100-m event.

scholarly journals Does Warm-Up Have a Beneficial Effect on 100-m Freestyle?

2014 ◽  
Vol 9 (1) ◽  
pp. 145-150 ◽  
Author(s):  
Henrique P. Neiva ◽  
Mario C. Marques ◽  
Ricardo J. Fernandes ◽  
João L. Viana ◽  
Tiago M. Barbosa ◽  
...  
Keyword(s):  
Blood Lactate ◽  
Perceived Exertion ◽  
Swimming Performance ◽  
Stroke Index ◽  
Warm Up ◽  
Randomized Design ◽  
Training Frequency ◽  
Swimming Efficiency ◽  
Strategy Performance ◽  
Competitive Swimmers

Purpose:To investigate the effect of warm-up on 100-m swimming performance.Methods:Twenty competitive swimmers (with a training frequency of 8.0 ± 1.0 sessions/wk) performed 2 maximal 100-m freestyle trials on separate days, with and without prior warm-up, in a counterbalanced and randomized design. The warm-up distance totaled 1000 m and replicated the swimmers’ usual precompetition warm-up strategy. Performance (time), physiological (capillary blood lactate concentrations), psychophysiological (perceived exertion), and biomechanical variables (distance per stroke, stroke frequency, and stroke index) were assessed on both trials.Results:Performance in the 100-m was fastest in the warm-up condition (67.15 ± 5.60 vs 68.10 ± 5.14 s; P = .01), although 3 swimmers swam faster without warm-up. Critical to this was the 1st 50-m lap (32.10 ± 2.59 vs 32.78 ± 2.33 s; P < .01), where the swimmers presented higher distance per stroke (2.06 ± 0.19 vs. 1.98 ± 0.16 m; P = .04) and swimming efficiency compared with the no-warm-up condition (stroke index 3.46 ± 0.53 vs 3.14 ± 0.44 m2 · c−1 · s−1; P < .01). Notwithstanding this better stroke-kinematic pattern, blood lactate concentrations and perceived exertion were similar between trials.Conclusions:These results suggest that swimmers’ usual warm-up routines lead to faster 100-m freestyle swimming performance, a factor that appears to be related to better swimming efficiency in the 1st lap of the race. This study highlights the importance of performing swimming drills (for higher distance per stroke) before a maximal 100-m freestyle effort in similar groups of swimmers.

scholarly journals Physiological aspects and energetic contribution in 20s:10s high-intensity interval exercise at different intensities

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9791
Author(s):  
Gabriel V. Protzen ◽  
Charles Bartel ◽  
Victor S. Coswig ◽  
Paulo Gentil ◽  
Fabricio B. Del Vecchio
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Power Output ◽  
High Intensity ◽  
Interval Training ◽  
Random Order ◽  
Peak Power Output ◽  
Maximal Heart Rate ◽  
Work Intensity ◽  
High Intensity Interval

Background One of the most popular high-intensity interval exercises is the called “Tabata Protocol”. However, most investigations have limitations in describing the work intensity, and this fact appears to be due to the protocol unfeasibility. Furthermore, the physiological demands and energetic contribution during this kind of exercise remain unclear. Methods Eight physically active students (21.8 ± 3.7 years) and eight well-trained cycling athletes (27.8 ± 6.4 years) were enrolled. In the first visit, we collected descriptive data and the peak power output (PPO). On the next three visits, in random order, participants performed interval training with the same time structure (effort:rest 20s:10s) but using different intensities (115%, 130%, and 170% of PPO). We collected the number of sprints, power output, oxygen consumption, blood lactate, and heart rate. Results The analysis of variance for multivariate test (number of sprints, power output, blood lactate, peak heart rate and percentage of maximal heart rate) showed significant differences between groups (F = 9.62; p = 0.001) and intensities (F = 384.05; p < 0.001), with no interactions (F = 0.94; p = 0.57). All three energetic contributions and intensities were different between protocols. The higher contribution was aerobic, followed by alactic and lactic. The aerobic contribution was higher at 115%PPO, while the alactic system showed higher contribution at 130%PPO. In conclusion, the aerobic system was predominant in the three exercise protocols, and we observed a higher contribution at lower intensities.

Determining the Optimal Interval Exercise Intensity Dose for Improving Exercise Performance

2016 ◽  
Author(s):  
Norah MacMillan
Keyword(s):  
Interval Training ◽  
Active Recovery ◽  
Performance Variables ◽  
Interval Exercise ◽  
Optimal Interval ◽  
Positive Effects ◽  
Long Duration ◽  
Before And After ◽  
And Performance ◽  
Type Of Exercise

Short duration interval training is a time-efficient exercise strategy that can improve fitness through changes in metabolic, cardiovascular and performance related variables. Studies have examined the positive effects of maximal intensity exercise (≥100% VO2max) on metabolic and performance variables in recreationally active individuals and trained athletes. The intensity of interval training required to cause improvements in aerobic fitness is unknown. This study will look at the performance related adaptations that occur with three different exercise intensities of interval training matched in terms of duration, frequency and type of exercise. Sixteen recreationally active individuals, both males (n=9, age = 23.3±3.3, VO2max = 44.2±6.5) and females (n=6, age = 21.5±0.7, VO2max = 39.7±5.4) were randomly assigned to one of three groups who trained using intervals at 120% VO2max (n=5), 90% VO2max (n=4) or 65% VO2max (n=7). The participants performed 14 days of training spread over 4 weeks that consisted of 8-12 repeats of 1-minute cycling at the prescribed intensity with 1-minute active recovery between intervals. Training increased time to fatigue in the 90% VO2max and 120% VO2max group however not in the 65% VO2max group. The changes in VO2max before and after training were significant in the 90% VO2max group and the 120% VO2max group, however not between the 120% VO2max and 90% VO2max group (p≤0.05). Interval training at 90% and 120% VO2max stimulates analogous improvements in fitness. These results may be important for diseased or sedentary populations where very high-intensity and long duration exercise may not be well tolerated.

Individualizing Training in Swimming: Evidence for Utilizing the Critical Speed and Critical Stroke Rate Concepts

2020 ◽  
Vol 15 (5) ◽  
pp. 617-624
Author(s):  
Eva Piatrikova ◽  
Nicholas J. Willsmer ◽  
Ana C. Sousa ◽  
Javier T. Gonzalez ◽  
Sean Williams
Keyword(s):  
Critical Speed ◽  
Interval Training ◽  
Stroke Index ◽  
Stroke Rate ◽  
Training Volume ◽  
High Intensity Interval Training ◽  
Stroke Length ◽  
And Performance ◽  
High Intensity Interval ◽  
Peak Speed

Purpose: To monitor physiological, technical, and performance responses to individualized high-intensity interval training (HIIT) prescribed using the critical speed (CS) and critical stroke rate (CSR) concepts in swimmers completing a reduced training volume program (≤30 km·wk−1) for 15 weeks. Methods: Over the 15-week period, 12 highly trained swimmers (age 16 [1] y, height 179 [8] cm, weight 66 [8] kg) completed four 3-minute all-out tests to determine CS and the finite capacity to work above CS (D′), and four 200-m tests at CS to establish a CSR estimate. Combining CS and D′, 2 HIIT sessions designed as 5 × 3-minute intervals depleting 60% of D′ and 3 × 3.5-minute intervals depleting 80% of D′ were prescribed once per week, respectively. An additional HIIT session was prescribed using CS and CSR as 10 × 150 m or 200 m at CS with 2 cycles per minute lower stroke rate than the CSR estimate. Additional monitored variables included peak speed, average speed for 150 seconds (speed150s) and 180 seconds (speed180s), competition performance and stroke length (SL), stroke count (SC), and stroke index (SI) adopted at CS. Results: At the end of the intervention, swimmers demonstrated faster CS (mean change ± 90% confidence limits: +5.4 ± 1.6%), speed150s (+2.5 ± 0.9%), speed180s (+3.0 ± 0.9%), and higher stroke rate (+6.4 ± 3.0%) and stroke index (+4.2 ± 3.6%). D′ was reduced (−25.2 ± 7.5%), whereas peak speed, SL, and SC changed only trivially. The change in the swimmers’ personal best times in the first and second main event was −1.2 ± 1.3% and −1.6 ± 0.9%, respectively. Conclusion: HIIT prescribed based on the CS and CSR concepts was associated with improvements in several physiological, technical, and performance parameters in highly trained swimmers while utilizing time- and resource-efficient approach. This was achieved despite a ≥25% reduction in training volume.

scholarly journals Validating Physiological and Biomechanical Parameters during Intermittent Swimming at Speed Corresponding to Lactate Concentration of 4 mmol·L−1

Sports ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 23
Author(s):  
Gavriil G. Arsoniadis ◽  
Ioannis S. Nikitakis ◽  
Petros G. Botonis ◽  
Ioannis Malliaros ◽  
Argyris G. Toubekis
Keyword(s):  
Blood Lactate ◽  
Perceived Exertion ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Constant Speed ◽  
Rating Of Perceived Exertion ◽  
Training Set ◽  
Front Crawl ◽  
Stroke Length ◽  
Biomechanical Parameters

Background: Physiological and biomechanical parameters obtained during testing need validation in a training setting. The purpose of this study was to compare parameters calculated by a 5 × 200-m test with those measured during an intermittent swimming training set performed at constant speed corresponding to blood lactate concentration of 4 mmol∙L−1 (V4). Methods: Twelve competitive swimmers performed a 5 × 200-m progressively increasing speed front crawl test. Blood lactate concentration (BL) was measured after each 200 m and V4 was calculated by interpolation. Heart rate (HR), rating of perceived exertion (RPE), stroke rate (SR) and stroke length (SL) were determined during each 200 m. Subsequently, BL, HR, SR and SL corresponding to V4 were calculated. A week later, swimmers performed a 5 × 400-m training set at constant speed corresponding to V4 and BL-5×400, HR-5×400, RPE-5×400, SR-5×400, SL-5×400 were measured. Results: BL-5×400 and RPE-5×400 were similar (p > 0.05), while HR-5×400 and SR-5×400 were increased and SL-5×400 was decreased compared to values calculated by the 5 × 200-m test (p < 0.05). Conclusion: An intermittent progressively increasing speed swimming test provides physiological information with large interindividual variability. It seems that swimmers adjust their biomechanical parameters to maintain constant speed in an aerobic endurance training set of 5 × 400-m at intensity corresponding to 4 mmol∙L−1.

scholarly journals Blood Lactate Concentration Is Not Related to the Increase in Cardiorespiratory Fitness Induced by High Intensity Interval Training

2019 ◽  
Vol 16 (16) ◽  
pp. 2845 ◽  
Author(s):  
Todd A. Astorino ◽  
Jamie L. DeRevere ◽  
Theodore Anderson ◽  
Erin Kellogg ◽  
Patrick Holstrom ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Blood Lactate ◽  
Energy Intake ◽  
Sleep Duration ◽  
High Intensity ◽  
Lactate Concentration ◽  
Threshold Energy ◽  
Interval Training ◽  
High Intensity Interval Training ◽  
High Intensity Interval

Background: There is individual responsiveness to exercise training as not all individuals experience increases in maximal oxygen uptake (VO2max), which does not benefit health status considering the association between VO2max and mortality. Approximately 50% of the training response is genetic, with the other 50% accounted for by variations in dietary intake, sleep, recovery, and the metabolic stress of training. This study examined if the blood lactate (BLa) response to high intensity interval training (HIIT) as well as habitual dietary intake and sleep duration are associated with the resultant change in VO2max (ΔVO2max). Methods: Fourteen individuals (age and VO2max = 27 ± 8 years and 38 ± 4 mL/kg/min, respectively) performed nine sessions of HIIT at 130% ventilatory threshold. BLa was measured during the first and last session of training. In addition, sleep duration and energy intake were assessed. Results: Data showed that VO2max increased with HIIT (p = 0.007). No associations occurred between ΔVO2max and BLa (r = 0.44, p = 0.10), energy intake (r = 0.38, p = 0.18), or sleep duration (r = 0.14, p = 0.62). However, there was a significant association between training heart rate (HR) and ΔVO2max (r = 0.62, p = 0.02). Conclusions: When HIIT is prescribed according to a metabolic threshold, energy intake, sleep status, and BLa do not predict ΔVO2max, yet the HR response to training is associated with the ΔVO2max.

Blood Lactate Concentration and Clearance in Elite Swimmers During Competition

2011 ◽  
Vol 6 (1) ◽  
pp. 106-117 ◽  
Author(s):  
Jason D. Vescovi ◽  
Olesya Falenchuk ◽  
Greg D. Wells
Keyword(s):  
Blood Lactate ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Active Recovery ◽  
Competitive Swimming ◽  
Elite Swimmers ◽  
Lactate Removal ◽  
The Relationship ◽  
Competitive Swimmers ◽  
Effect Of Age

Purpose:Blood lactate concentration, [BLa], after swimming events might be influenced by demographic features and characteristics of the swim race, whereas active recovery enhances blood lactate removal. Our aims were to (1) examine how sex, age, race distance, and swim stroke influenced [BLa] after competitive swimming events and (2) develop a practical model based on recovery swim distance to optimize blood lactate removal.Methods:We retrospectively analyzed postrace [BLa] from 100 swimmers who competed in the finals at the Canadian Swim Championships. [BLa] was also assessed repeatedly during the active recovery. Generalized estimating equations were used to evaluate the relationship between postrace [BLa] with independent variables.Results:Postrace [BLa] was highest following 100–200 m events and lowest after 50 and 1500 m races. A sex effect for postrace [BLa] was observed only for freestyle events. There was a negligible effect of age on postrace [BLa]. A model was developed to estimate an expected change in [BLa] during active recovery (male = 0; female = 1): [BLa] change after active recovery = –3.374 + (1.162 × sex) + (0.789 × postrace [BLa]) + (0.003 × active recovery distance).Conclusions:These findings indicate that swimmers competing at an elite standard display similar postrace [BLa] and that there is little effect of age on postrace [BLa] in competitive swimmers aged 14 to 29 y.

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