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The long-term impact of weight cycling on health status, eating habits, physical activity and the lifestyle of former combat sports athletes is still insufficiently explored. Therefore, a novel questionnaire in English, Portuguese, Spanish and Croatian language was constructed. To determine the reliability and the content/face validity, a total of 110 participants filled the questionnaire on two occasions. With the majority of intra-class correlation coefficient values above 0·75, the questionnaire items were shown to be very stable. Additionally, according to κ values, the questionnaire has fair test-retest reliability, with only one coefficient being labelled as poor (Q40 in ESP). All questionnaire sub-scales showed moderate to very good internal consistency when the overall sample was observed ( α ranging from 0·605 to 0·802). Poor α values were found only in Godin-Shephard Leisure-Time Physical Activity Questionnaire for CRO and ESP samples. Wilcoxon's signed rank test showed significant differences only in the Mindful Eating Questionnaire sub-scale scores (overall: P = 0·002, effect size = -0·208 [moderate]; CRO: P = 0·005, effect size = 0·303 [moderate]). It can be concluded that the newly developed questionnaire had strong test-retest reliability. Further validity research in a larger sample of former combat sports athletes should be considered.

The present systematic review examined the effect of exercise intensity (high-intensity interval exercise [HIIE] vs. moderate-intensity continuous exercise [MICE] vs. sprint interval exercise [SIE]) on excess post-exercise oxygen consumption (EPOC). Twenty-two studies were included in the final evaluation. The retrieved investigations were split into studies that analysed short-duration (until 3 h) and long-duration (more than 3 h) EPOC. Studies that subtracted the baseline energy expenditure (EE) were analysed separately from those that did not. Most short-duration evaluations that subtracted baseline EE reported higher EPOC for HIIE (average of ~136 kJ) compared with MICE (average of ~101 kJ) and higher values for SIE (average of ~241 kJ) compared with MICE (average of ~151 kJ). The long-duration evaluations resulted in greater EPOC for HIIE (average of ~289 kJ) compared with MICE (average of ~159 kJ), while no studies comparing SIE versus MICE provided appropriate values. EE from EPOC seems to be greater following HIIE and SIE compared with MICE, and long-duration evaluations seem to present higher values than short-duration evaluations. Additionally, more standardized methodologies are needed in order to determine the effective EPOC time following these protocols., (© 2020 World Obesity Federation.)

This study investigated the relationship between well-being indices and the session rating of perceived exertion (session-RPE), recovery (TQR), and physical enjoyment (PE) during intensified, tapering phases of judo training. Sixty-one judo athletes (37 males, ranges 14-17 years, 159-172 cm, 51-67 kg) were randomly assigned to three experimental (i.e., randori, uchi-komi, running) and control groups (regular training). Experimental groups trained four times per week for 4 weeks of intensified training followed by 12 days of tapering. Session-RPE, well-being indices (i.e., sleep, stress, fatigue, delayed onset of muscle soreness (DOMS), Hooper index (HI)), and TQR were measured every session, whereas PE was recorded after intensified, tapering periods. Recovery (TQR) was negatively correlated with sleep, stress, fatigue, DOMS, HI, session-RPE in intensified period and was negatively correlated with sleep, stress, fatigue, DOMS, HI in tapering. Session-RPE was positively correlated with sleep, fatigue, DOMS, HI in intensified period and positively correlated with fatigue, DOMS in tapering. PE was negatively correlated with stress in intensified training. Enjoyment could be partially predicted by sleep only in intensified periods. Session-RPE could be partially predicted by TQR, fatigue during intensified periods and by sleep, and HI during tapering. Sleep, recovery state, pre-fatigue states, and HI are signals contributing to the enjoyment and internal intensity variability during training. Coaches can use these simple tools to monitor judo training.

The aim of this study was to analyze the metabolic and molecular profile according to physical fitness status (Low or High VO 2max ) and its impacts on peripheral and cellular inflammatory responses in healthy men. First (Phase I), inflammatory profile (TNF-α, IL-6, IL-10) was analyzed at baseline and post-acute exercise sessions performed at low (< 60% VO 2max ) and high (> 90% VO 2max ) intensities considering the individual endotoxin concentrations. Next (Phase II), monocyte cell cultures were treated with LPS alone or associated with Rosiglitazone (PPAR-γ agonist drug) to analyze cytokine production and gene expression. Monocyte subsets were also evaluated by flow cytometry. A positive relationship was observed between LPS concentrations and oxygen uptake (VO 2max ) (r = 0.368; p = 0.007); however, in the post-exercise an inverse correlation was found between LPS variation (Δ%) and VO 2max  (r = -0.385; p = 0.004). With the low-intensity exercise session, there was inverse correlation between LPS and IL-6 concentrations post-exercise (r = -0.505; p = 0.046) and a positive correlation with IL-10 in the recovery (1 h post) (r = 0.567; p = 0.011), whereas with the high-intensity exercise an inverse correlation was observed with IL-6 at pre-exercise (r = -0.621; p = 0.013) and recovery (r = -0.574; p = 0.016). When monocyte cells were treated with LPS, High VO 2max individuals showed higher PPAR-γ gene expression whereas Low VO 2max individuals displayed higher IL-10 production. Additionally, higher TLR-4, IKK1, and PGC-1α gene expression were observed in the High VO 2max group than Low VO 2max individuals. In conclusion, even with elevated endotoxemia, individuals with High VO 2max exhibited higher IL-6 concentration in peripheral blood post-acute aerobic exercise and lower IL-10 concentration during recovery (1 h post-exercise). The anti-inflammatory effects linked with exercise training and physical fitness status may be explained by a greater gene expression of IKK1, TLR-4, and PGC-1α, displaying an extremely efficient cellular framework for the PPAR-γ responses.

Several variables can be manipulated to compose high-intensity interval exercise (HIIE) protocols, and these different combinations may evoke different psychological responses (affect, enjoyment, mood, and perceived exertion). This study investigated psychological responses during four HIIE protocols. Following anthropometric measurements and two maximal exercise tests, 23 physically inactive adults (11 males [ M age  = 25.6, SD  =   4.8 years; M body mass  = 68.5, SD  =   12.2 kg; M height  = 1.72, SD  =   0.08 m] and 12 females [ M age  = 25.0, SD =  3.5 years; M body mass  = 57.2, SD  -2 blocks of 10 × 30 seconds:30 seconds with 120 seconds between blocks), (c) Repeated Sprint Training (19 × 6 seconds all out:40 seconds), and (d) Sprint Interval Training (4 × 30 seconds all-out efforts: 240 seconds). We used a final session to assess participants' HIIE preference. We recorded participant reports of affect, mood, and perceived exertion throughout protocols, and we recorded enjoyment after exercise session. Perceived exertion significantly increased across all HIIE protocols (   8.7 kg; M height  = 1.59, SD  = 0.06 m]) performed four different types of HIIE on different days: (a) Long-interval HIIE (HIIE L .033). Affective response presented higher values pre-exercise and at the first quartile compared with all other moments ( S -2 blocks of 10 × 30 seconds:30 seconds with 120 seconds between blocks), (c) Repeated Sprint Training (19 × 6 seconds all out:40 seconds), and (d) Sprint Interval Training (4 × 30 seconds all-out efforts: 240 seconds). We used a final session to assess participants' HIIE preference. We recorded participant reports of affect, mood, and perceived exertion throughout protocols, and we recorded enjoyment after exercise session. Perceived exertion significantly increased across all HIIE protocols ( p  <   .001), with higher values in the first quartile during Sprint Interval Training versus HIIE L ( p  =   .013) decreased from pre- to post-exercise in all experimental conditions. At pre-exercise, female participants were tenser than males ( p  <   .018), though males presented higher pre-exercise vigor scores than females ( p  <   .001) and depression ( p  =   .022). Enjoyment did not vary between sexes or protocols. Participants expressed a higher preference for Repeated Sprint Training. HIIE protocols promoted positive psychological responses for physically inactive young adults, and exercise designs may modulate psychological responses.p  =   .018), though males presented higher pre-exercise vigor scores than females ( p  =   .023). Vigor increased over time for females ( p  =   .022). Enjoyment did not vary between sexes or protocols. Participants expressed a higher preference for Repeated Sprint Training. HIIE protocols promoted positive psychological responses for physically inactive young adults, and exercise designs may modulate psychological responses.

Background: The purpose of this study was to investigate if a post-activation potentiation (PAP) protocol may attenuate the acute interference induced by high-intensity intermittent exercise (HIIE) and on subsequent strength exercise performance in recreationally trained men., Methods: Eleven resistance-trained men (age: 25.7±3.7 y) randomly completed three experimental trials: strength exercise (SE) only (4 sets of maximal number of repetitions at 70% on the 45º leg press); concurrent exercise (CE) comprised 5000-m of HIIE at maximal aerobic speed (1:1 effort and pause ratio) followed by SE protocol; CE with post-activation potentiation (CE-PAP), comprised the same CE protocol preceded by one set of 2 repetitions at 90% of 1RM on the 45° leg-press before strength exercise. The number of repetitions performed was recorded for each set and total weight lifted was calculated., Results: The CE condition induced a greater decrement in volume for the leg press compared to SE and CE-PAP in sets 1 (24±21%; 18±25%), 2 (20±21%; 22±22%), and 3 (19±20%; 25±15%), respectively. Total weight lifted was greater after SE (8,795±2,581 kg) and CE-PAP (8.809±2.655 kg) conditions compared to CE (7.049±2.822 kg) (SE vs. CE: P=0.020) and (CE-PAP vs. CE: P=0.010) but there was no significant difference between SE and CE-PAP (P=1.00)., Conclusions: PAP using a heavy load attenuated acute interference (total volume during lower-body strength) generated by HIIE protocol, but did not enhance volume compared to SE alone.

Purpose: The relationship between inflammatory markers and energetic metabolism has been explored. However, the relationship between exercise intensity and fitness status is unclear, and it is necessary to understand this relationship to apply specific exercise guidance. The purpose of the study was to analyze metabolic and inflammatory responses imposed by acute exercise sessions performed at moderate, heavy, and severe intensities and their relationship with the physical fitness status., Methods: Nineteen healthy male volunteers performed three acute exercise sessions until exhaustion or up to 60 minutes on a cycle ergometer at moderate (90% of first ventilatory threshold [VT1]), heavy (midpoint between VT1 and second ventilatory threshold [VT2]), and severe (midpoint between VT2 and maximal aerobic power) intensities. Blood lactate, glucose, NEFA, endotoxin, and cytokines were determined for each exercise session. Peripheral and lipopolysaccharide (LPS)-stimulated release of tumor necrosis factor alpha (TNF-α), interleukin (IL)-6, and IL-10 was analyzed before, after, and 60 minutes after sessions., Results: In peripheral blood, severe intensity increased lactate, endotoxin, and TNF-α immediately after exercise and glucose at 60 min after exercise. There was a trend for IL-10 increase at 60 minutes after exercise in peripheral blood. Immediately after exercise, LPS-stimulated TNF-α, IL-6, IL-6/IL-10 ratio, and lactate levels were higher in the severe intensity while nonester fatty acid levels decreased at this time. At 60 minute after exercise, higher concentrations of glucose and a trend for increased IL-10 were observed in severe intensity. A positive correlation was observed between maximal aerobic power and IL-10 ( r = 0.513; P = 0.042), and negative correlations between maximal aerobic power and endotoxin ( r = -0.531; P = 0.034) and lactate ( r = -0.538; P = 0.031) in heavy intensity., Conclusion: Our data show a novel finding that higher cytokine responses occur at higher intensities, mainly in severe intensity. However, the anti-inflammatory (IL-10) response was physical fitness-dependent., (© 2018 Wiley Periodicals, Inc.)

Background and Objective: Inadequate sleep patterns may be considered a trigger to development of several metabolic diseases. Additionally, sleep deprivation and poor sleep quality can negatively impact performance in exercise training. However, the impact of sleep duration and sleep quality on performance during incremental maximal test performed by healthy men is unclear. Therefore, the purpose of the study was to analyze the association between sleep pattern (duration and quality) and performance during maximal incremental test in healthy male individuals., Methods: A total of 28 healthy males volunteered to take part in the study. Sleep quality, sleep duration and physical activity were subjectively assessed by questionnaires. Sleep pattern was classified by sleep duration (>7h or <7h of sleep per night) and sleep quality according to the sum of measured points and/or scores by the Pittsburgh Sleep Quality Index (PSQI). Incremental exercise test was performed at 35 watts for untrained subjects, 70 watts for physically active subjects and 105 watts for well-trained subjects., Results: HR max was correlated with sleep quality (r=0.411, p=0.030) and sleep duration (r=-0.430, p=0.022). Participants reporting good sleep quality presented higher values of W max , VO 2max and lower values of HR max when compared to participants with altered sleep. Regarding sleep duration, only W max was influenced by the amount of sleeping hours per night and this association remained significant even after adjustment by VO 2max ., Conclusion: Sleep duration and quality are associated, at least in part, with performance during maximal incremental test among healthy men, with losses in W max and HR max . In addition, our results suggest that the relationship between sleep patterns and performance, mainly in W max , is independent of fitness condition., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: This study aimed to analyze the acute effects of a judo training session on muscle strength, delayed-onset muscle soreness (DOMS), and serum creatine kinase (CK) activity., Methods: Ten male judo athletes participated in this study and performed a 90-min traditional judo training session. The following measurements were performed before and 48 hours after the training: shoulder external/internal rotation isokinetic torque, countermovement jump (CMJ), DOMS, and blood draw for serum CK analysis. Student's t-test with significance level set at 5% and, effect size analysis were used., Results: Significant reduction was found in jump height in the CMJ after the training session (2.9%; moderate effect; P=0.02). No significant differences were observed in any of the measures of shoulder external/internal rotation isokinetic torque (P>0.05). An increase of the serum CK (49.4%; moderate effect; P=0.01) and DOMS (20.6%; large effect; P=0.003) were noted after the training session when compared to baseline., Conclusions: Judo training session resulted in increased serum CK activity, and muscle soreness. The decrease of CMJ performance indicates impairment in the lower-limbs muscle power production. However, the lack of difference of shoulder external/internal rotation torque before and 48 hours after the training session may indicate that the interval was enough to recover the upper-limbs strength in judokas of this study. These markers of muscle damage can be used to control muscle adaptation progress and to avoid sports-related disorders of athletes with similar characteristics to those evaluated in this study.

Inoue, DS, Panissa, VLG, Monteiro, PA, Gerosa-Neto, J, Rossi, FE, Antunes, BMM, Franchini, E, Cholewa, JM, Gobbo, LA, and Lira, FS. Immunometabolic responses to concurrent training: the effects of exercise order in recreational weightlifters. J Strength Cond Res 30(7): 1960-1967, 2016-The relationship between immunometabolic response and performance is not well understood. This study evaluated the influence of concurrent strength and high-intensity aerobic sequence of exercise order between sessions on strength performance, metabolic, and inflammatory response. Eleven recreational weightlifters underwent the following 2 randomized sessions: (a) strength-aerobic exercise order (SA) and (b) aerobic-strength exercise order (AS). Blood samples were collected before (Pre) and immediately after the first exercise (Post-1) and the second exercise (Post-2) of each session. The SA condition presented a higher number of repetitions (SA: 54 ± 15 vs. AS: 43 ± 12) and total volume (SA: 7,265 ± 2,323 vs. AS: 5,794 ± 1846 kg) than the AS condition (both p = 0.001). Glucose was higher in Pre when compared with post-1 in both orders (p ≤ 0.05); changes in lactate were time-dependent in the different orders (p ≤ 0.05); however, AS post-2 lactate was lower when compared with SA post-2 (p ≤ 0.05). Interleukin-6 levels showed time-dependent changes for both exercise orders (p ≤ 0.05). Tumor necrosis factor alpha (TNF-α) level was increased only in AS post-1 (AS: pre = 21.91 ± 35.47, post-1 = 26.99 ± 47.69 pg·ml vs. SA: pre = 25.74 ± 43.64, post-1 = 29.74 ± 46.05 pg·ml, p ≤ 0.05). These results suggest that concurrent training order exhibits different immunometabolic responses and, at least in part, can be associated with the acute decline in strength performance induced by concurrent exercise. Our results point to a possible role of TNF-α (post-1 AS condition) as a trigger to restore the energy demand by providing substrates to help maintain contractile activity in skeletal muscle.

Purpose: The purpose of this study was to compare the effect of upper and lower body high-intensity intermittent exercise (HIIE) on immunometabolism profile., Methods: Seven male judo athletes completed two experimental sessions separated by at least 48 h. The athletes completed four bouts of the upper and lower body Wingate tests separated by 3-min recovery periods. The blood samples were collected at rest and immediately after the fourth bout of lower and upper body Wingate tests. Serum was analysed for IL-1ra (Interleukin-1 Receptor Antagonist), interleukins (IL-1) IL-2, IL-4, IL-6, IL-10, TNF-α (tumor necrosis factor alpha), cortisol, glucose, and NEFA (non-ester fatty acid). Peak power (maximum power attained during the 30 s test), mean power were calculated. In addition, after 1 and 2.5-min of each Wingate bout, blood samples from the ear lobe were collected for lactate analysis., Results: Our data demonstrated that lower body HIIE promoted a greater metabolic rate (values pre- vs. post-Wingate, for lactate: 1.02 ± 0.16 vs. 14.44 ± 1.08 mmol/L; for glucose: 112.5 ± 16.7 vs. 147.9 ± 23.5 mg/dL) and resulted in higher mechanical (mean power: 621 ± 46 vs. 427 ± 40 W, peak power: 794 ± 61 vs. 602 ± 109 W) performance compared to the upper body HIIE (lactate: 0.85 ± 0.18 vs. 12.69 ± 0.74 mmol/L; for glucose: 115.3 ± 20.4 vs. 123.7 ± 28.6 mg/dL; mean power: 480 ± 46 vs. 341 ± 45 W; and peak power: 672 ± 83 vs. 501 ± 120 W), but NEFA showed a similar response to both conditions, with increased IL-10 levels., Conclusions: In conclusion, our results demonstrated that despite the higher performance in lower body HIIE, the inflammatory response did not differ between exercise modalities.

This study aimed to evaluate absolute and relative (%V.O2max) oxygen uptake (total, during effort and pause), and time spent above 90% of V.O2max during high-intensity intermittent running in subjects with different training status. Fourteen males were evaluated and divided (moderate and high aerobic power) according to their V.O2max obtained in an incremental treadmill test to volitional exhaustion. They were then submitted to high-intensity intermittent aerobic exercise (1 min:1 min at maximum velocity attained during the treadmill test, totalling 4 km). A Student's t test for independent data was conducted to identify differences between groups. The moderate aerobic power group spent more time above 90% V.O2max compared to the high aerobic power group (30.2 ±9.1%; 7.3±6%, respectively, P=0.001). Moreover, the moderate aerobic power group presented lower V.O2total (P=0.011), V.O2effort (P=0.007), higher V.O2total (%V.O2), V.O2effort (P<0.001), V.O2pause (V.O2max%) (P=0.006) compared with the high aerobic power group. There was no difference in V.O2pause between groups (P=0.091), the difference between V.O2 effort and pause was greater for the high aerobic power group compared with the moderate group (4.4±2.1; 7.8±2 mL.kg-1.min-1; P=0.009) and the difference between V.O2 effort and pause (%V.O2max) was not different between groups. To conclude, these results demonstrated that individuals with better aerobic fitness spent less time above 90% of the V.O2max and that this response can be due to better capacity to recover during the pause.

The objective of this study was to compare the physiological and performance responses with different judo techniques and time structure uchi-komi (technique entrance) protocols. Ten judo athletes (25 ± 6 years old, 73 ± 9 kg, 173 ± 5 cm, and 15 ± 6 years of judo experience) were submitted to 9 all-out uchi-komi sessions. Three techniques (o-uchi-gari, seoi-nage, and harai-goshi) and 3 different time structures (18 × 10 seconds/10 seconds, 9 × 20 seconds/20 seconds, and 6 × 30 seconds/30 seconds) were randomly assigned. Two-way and 3-way analyses of variance with repeated measurements and the Bonferroni test were used. The significance level was fixed at 5%. There was no effect of the time structure or the technique on the absolute energy expenditure (p > 0.05), which can be attributed to the all-out characteristic of the exercise. However, more repetitions were executed during the o-uchi-gari protocol (F = 19; p < 0.001; η = 0.32) compared with harai-goshi and seoi-nage (p < 0.001 for both comparisons). Oxygen consumption differed over time during the activity (F = 767; p < 0.001; η = 0.904), with lower values during the first minute (32.51 ± 3.21 ml·kg·min) compared with the second (41.47 ± 4.20 ml·kg·min) and third minutes (42.96 ± 4.29 ml·kg·min), and lower values were recorded in the second minute compared with the third minute (p < 0.001 for all comparisons). There was also an effect of technique on the total energy expenditure per repetition (F = 6; p = 0.001; η = 0.128), with o-uchi-gari resulting in lower values compared to seoi-nage (p = 0.003), as the former technique does not involve torso rotation and knee flexion, while the latter technique does. These training protocols resulted in similar oxygen uptake and heart rate responses compared to match simulations, and they can be used to simulate the match demand.

One of the most important aspects of the metabolic demand is the relative contribution of the energy systems to the total energy required for a given physical activity. Although some sports are relatively easy to be reproduced in a laboratory (e.g., running and cycling), a number of sports are much more difficult to be reproduced and studied in controlled situations. This method presents how to assess the differential contribution of the energy systems in sports that are difficult to mimic in controlled laboratory conditions. The concepts shown here can be adapted to virtually any sport. The following physiologic variables will be needed: rest oxygen consumption, exercise oxygen consumption, post-exercise oxygen consumption, rest plasma lactate concentration and post-exercise plasma peak lactate. To calculate the contribution of the aerobic metabolism, you will need the oxygen consumption at rest and during the exercise. By using the trapezoidal method, calculate the area under the curve of oxygen consumption during exercise, subtracting the area corresponding to the rest oxygen consumption. To calculate the contribution of the alactic anaerobic metabolism, the post-exercise oxygen consumption curve has to be adjusted to a mono or a bi-exponential model (chosen by the one that best fits). Then, use the terms of the fitted equation to calculate anaerobic alactic metabolism, as follows: ATP-CP metabolism = A(1;) (mL . s(-1)) x t(1;) (s). Finally, to calculate the contribution of the lactic anaerobic system, multiply peak plasma lactate by 3 and by the athlete's body mass (the result in mL is then converted to L and into kJ). The method can be used for both continuous and intermittent exercise. This is a very interesting approach as it can be adapted to exercises and sports that are difficult to be mimicked in controlled environments. Also, this is the only available method capable of distinguishing the contribution of three different energy systems. Thus, the method allows the study of sports with great similarity to real situations, providing desirable ecological validity to the study.

The purpose of this study was to evaluate the effects of 2 modes of aerobic exercise (continuous or intermittent) on maximum strength (1 repetition maximum, 1RM) and strength endurance (maximum repetitions at 80% of 1RM) for lower- and upper-body exercises to test the acute hypothesis in concurrent training (CT) interference. Eight physically active men (age: 26.9 +/- 4.2 years; body mass: 82.1 +/- 7.5 kg; height: 178.9 +/- 6.0 cm) were submitted to: (a) a graded exercise test to determine V(.-)O2max (39.26 +/- 6.95 ml x kg(-1) x min(-1)) and anaerobic threshold velocity (3.5 mmol x L(-1)) (9.3 +/- 1.27 km x h(-1)); (b) strength tests in a rested state (control); and (c) 4 experimental sessions, at least 7 days apart. The experimental sessions consisted of a 5-kilometer run on a treadmill continuously (90% of the anaerobic threshold velocity) or intermittently (1:1 minute at V(.-)O2max). Ten minutes after the aerobic exercise, either a maximum strength or a strength endurance test was performed (leg press and bench press exercises). The order of aerobic and strength exercises followed a William's square distribution to avoid carryover effects. Results showed that only the intermittent aerobic exercise produced an acute interference effect on leg strength endurance, decreasing significantly (p < 0.05) the number of repetitions from 10.8 +/- 2.5 to 8.1 +/- 2.2. Maximum strength was not affected by the aerobic exercise mode. In conclusion, the acute interference hypothesis in concurrent training seems to occur when both aerobic and strength exercises produce significant peripheral fatigue in the same muscle group.

Study aim: Martial arts and combat sports have been an alternative for individuals seeking the health benefits of physical activity and exercise, but little is known about its practitioners’ quality of life. Therefore, this study aimed to investigate the quality of life of practitioners of five of the most common modalities in Brazil.

Summary Objectives The aim of this critical review was to discuss performance analysis characteristics and particular physiological demands related to karate kata and kumite . News The intermittent nature of karate has been revealed via kumite 's time-motion analysis, with a 1:1.5 effort-pause ratio during official competition. Karate combat is mainly dependent on the aerobic metabolism. However, decisive actions’ energy is provided by the anaerobic system. Concerning kata , it seems that the fraction of the energy supply is mainly a function of kata 's duration. The high-energy phosphate seems to be the major contributors while the aerobic energy system’ participation rises with the increased kata 's duration. Prospects and projects Future investigations in an ecologically valid environment are needed to support the findings presented in the current review. Conclusion Irrespective of karate's discipline, the aerobic system represents the main energy system, especially in longer kata . Kumite appears to demand much higher metabolic power than kata , regardless of gender, while kata appears to require more ATP-PCr energy system contribution than kumite . [ABSTRACT FROM AUTHOR]