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This study delves into the intricate details of Mixed Martial Arts (MMA) by examining key variables such as maximal oxygen uptake (VO2 peak), aerobic energy (EAER), anaerobic energy (EAN), and accumulated O2 deficit (DOA). By investigating associations and comparing athletes in the −61 kg bantamweight and −66 kg featherweight weight divisions, we aim to shed light on their physiological characteristics. The sample consisted of 20 male volunteers separated into two paired groups: ten athletes in the category up to 61 kg (age: 27.7 ± 5.9 years old, height: 170.9 ± 3.4 cm, body mass: 72.8 ± 1.4 kg, fat percentage: 9.5% ± 3.0%, professional experience: 7.5 ± 7.1 years) and ten athletes up to 66 kg (age: 27.6 ± 2.9 years old, height: 176.0 ± 5.5 cm, body mass: 77.0 ± 1.5 kg, fat percentage: 7.85% ± 0.3%, professional experience: 5.5 ± 1.5 years). Remarkably, our findings revealed striking similarities between the two weight divisions. Furthermore, we discovered a negative correlation between VO2 peak and the number of MMA fights, indicating a potential impact of professional experience on aerobic capacity (r = −0.65, p < 0.01). Additionally, the number of fights exhibited negative correlations with anaerobic energy (r =−0.53, p < 0.05) and total energy cost (r =−0.54, p < 0.05). These results provide valuable insights for designing training programs in the context of MMA. While training both weight divisions together can be beneficial, it is equally crucial to incorporate specific weight-class-focused training to address each division’s unique physical demands and requirements. [ABSTRACT FROM AUTHOR]

This study delves into the intricate details of MixedMartial Arts (MMA) by examining key variables such asmaximal oxygen uptake (VO2 peak), aerobic energy (EAER), anaerobic energy (EAN), and accumulated O2 deficit (DOA). By investigating associations and comparing athletes in the -61 kg bantamweight and -66 kg featherweight weight divisions, we aim to shed light on their physiological characteristics. The sample consisted of 20 male volunteers separated into two paired groups: ten athletes in the category up to 61 kg (age: 27.7 ± 5.9 years old, height: 170.9 ±3.4cm, bodymass: 72.8 ± 1.4 kg, fat percentage: 9.5% ± 3.0%, professional experience: 7.5 ± 7.1 years) and ten athletes up to 66 kg (age: 27.6 ± 2.9 years old, height: 176.0 ± 5.5 cm, body mass: 77.0 ± 1.5 kg, fat percentage: 7.85% ± 0.3%, professional experience: 5.5 ± 1.5 years). Remarkably, our findings revealed striking similarities between the twoweight divisions. Furthermore, we discovered a negative correlation between VO2 peak and the number of MMA fights, indicating a potential impact of professional experience on aerobic capacity (r = -0.65, p < 0.01). Additionally, the number of fights exhibited negative correlationswith anaerobic energy (r=-0.53, p < 0.05) and total energy cost (r =-0.54, p < 0.05). These results provide valuable insights for designing training programs in the context of MMA. While training both weight divisions together can be beneficial, it is equally crucial to incorporate specific weight-class-focused training to address each division's unique physical demands and requirements. [ABSTRACT FROM AUTHOR]

Coaches and psychologists can use time-motion analysis to elaborate specific interventions for female BJJ athletes, increasing specific training context and reducing unnecessary psychological and physical demands and injuries. Therefore, the present study aimed to analyze high-level BJJ female athletes in the 2020 Pan-American Games by comparing the weight categories on the time-motion analysis. The time-motion analysis (i.e., approach, gripping, attack, defensive actions, transition, mounting, guard, side control, and submissions) of 422 high-level female BJJ combats was divided and compared by weight category as follows: Rooster (n = 8), Light Feather (n = 18), Feather (n = 122), Light (n = 84), Middle (n = 74), Medium Heavy (n = 44), Heavy (n = 36), Super Heavy (n = 36), using p ≤ 0.05. The main results indicated that the Super heavyweight category [3.1 (5.8;119.9) s] had a shorter gripping time than other weight categories, p ≤ 0.05. In contrast, roosters [7.2 (3.5;64.6) s] had longer gripping, transition [14.0 (4.8;29.6) s], and attack time [76.2 (27.7, 93.2)] than the light feather, middlers, and heavier weight categories, p ≤ 0.05. These findings should be considered for the psychological interventions and training prescription. [ABSTRACT FROM AUTHOR]

A correction notice for the article "Effects of Acute Long-Versus Short-Interval High-Intensity Interval Training on Attention and Psychological States in a Sample of Male and Female Adolescents" in the journal Life (2075-1729) was issued to add Mahdi Issaoui as an author. The updated affiliation for Issaoui is the Higher Institute of Sport and Physical Education of Gafsa, University of Gafsa, Tunisia. The correction does not impact the scientific conclusions of the study, and all authors have agreed to the updated version of the manuscript. [Extracted from the article]

This document is a corrigendum, or correction, for an article titled "Enhancing performance: unveiling the physiological impact of submaximal and supramaximal tests on mixed martial arts athletes in the −61 kg and −66 kg weight divisions." The correction addresses errors in the funding and acknowledgments statements of the original article. The authors apologize for the errors and state that they do not affect the scientific conclusions of the article. The original article has been updated. [Extracted from the article]

Purpose: To determine the performance aspects (time--motion and technical-tactical analysis) of top-level low-kick kickboxers according to gender, weight category, combat round, and match outcome. Methods: Seventy-two kickboxers (44 male, 28 female) were studied. Thirty-six bouts (male = 61, female = 41 rounds) were analyzed using a time--motion system. Time structure was classified into 3 phases: preparatory-activity time (PT), fighting time (FT), and stoppage time (ST). Results: Referee decisions caused an overall effort:pause ratio (E:P) of ~1:1.5, with a significant difference between weight categories (light and middleweights = 1:1.5, heavyweight = 1:1). This ratio was ~1:6 when high-intensity actions--to-pause activities were considered. Significant differences were also observed between rounds (all P < .001), with 1st-, 2nd-, and 3rd-round E:Ps of 1:1, 1:1.5, and ~1:2, respectively. The relative times of FT and PT, total attacking actions, upper-limb actions, number of technical actions performed on the head, and the number of high-intensity actions were higher in males than females (all P = .05). Males performed more jab-cross actions and fewer low kicks than females (P < .001). Males used upper-limb (63.4%) more than lower-limb techniques (36.6%), targeting the head (56.9%) more than the body/leg (43.1%), with no significant difference from females (P > .05). E:P was similar between winners and losers. However, the numbers of technical actions performed on the head, counterattack actions, jab-cross technique, and total punches were higher in winners than losers (all P < .05). Conclusion: Training programs need to be adapted to the specific requirements of kickboxers' weight categories and gender to develop the technical-tactical abilities that improve athletes' chances of winning. [ABSTRACT FROM AUTHOR]

The present study aimed to report different level games in terms of their external game loads, using data collected from GPS performance indicators in Brazilian soccer teams. We used measures of 464 performances of professional soccer athletes during the National Tournament (NT=265), State Tournament (ST=89), National Cup (NC=44), and the International Tournament (IT=66). The performance analysis included the assessment of Total (meters) and Relative (meters/minutes) distances; running (>14km/h), and sprinting (>18km/h) distance; the number of sprints (>18km/h and >24km/h); accelerations (above three m/s2), deceleration (less than three m/s2) and jumps (>30 cm); Total and Relative load - per minute. There were differences (p<0.05) in terms of relative distance between NT and ST (102.2 ±9.5 vs. 98.1± 10.3) and between ST and NC (98.1± 10.3 vs. 103.4 ±9.6). In sprints >18km/h NT differed from ST (60.4 ±5.9 vs 52.7 ±19.9). In sprints >24km/h differences could be found between NT and ST (10.7 ±5.9 vs 8.7 ±5.4). In Total Load NT differed with respect to ST (908.6 ±141.5 vs. 852.7 ±138.5) In Relative Load differences were reported between NT and ST (10 ±1.2 vs. 9.3 ±1.4) and IT (10 ±1.2 vs. 9.4 ±1.4), and between ST and NC (9.3 ±1.4 vs. 10.0 ±1.4). Finally, concerning deceleration, NT differed when compared to ST (36.1 ±9.9 vs. 32 ±11) as well as ST differed from IT (32 ±11 vs. 37.5 ±9.7). The present results make it possible to create specific training games according to tournament level associated with the predominant activities performed during the competition. [ABSTRACT FROM AUTHOR]