Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
Add more filters











Database
Language
Publication year range
1.
J Funct Morphol Kinesiol ; 8(2)2023 Mar 31.
Article in English | MEDLINE | ID: mdl-37092373

ABSTRACT

Rugby sevens has established itself on the world stage since its inclusion in the 2016 Olympics. Participation among New Zealand (NZ) youth has surged. Sevens games have specific high demands, but little is known about these competitive demands in regards to youth. Two NZ male youth squads (U15, n = 13; U19, n = 14) were monitored during a national sevens tournament. Microsensor technology captured heart rate (HR) and kinematic performance. The rating of perceived exertion (RPE) was collected for U15 matches only. U19 and U15 players ran 108 ± 11 and 116 ± 13 m·min-1 at an average speed (VAVG) of 6.5 ± 0.6 and 6.9 ± 0.8 km·h-1. Peak speeds (VPEAK) reached 33.7 km·h-1, and high-intensity running distance (HIRD) averaged 252 ± 102 m. U15 (44.3 ± 9.2 game-1) and U19 (39.4 ± 6.1 game-1) showed different sprint rates. U15 covered more moderate-velocity distance (20-80% VMAX) and less low-velocity distance (<20% VMAX). RPE was 13 ± 1 (U15). An average HR of 90.0 ± 3.9% HRMAX was recorded. Upwards of 57% of game time was played at >95% HRMAX. Youth sevens competition is specifically demanding. U15 can experience greater loads than older peers in rugby. Coaches can use this information to optimize players' physical development.

2.
Biol Sport ; 39(2): 237-244, 2022 Mar.
Article in English | MEDLINE | ID: mdl-35309543

ABSTRACT

The purpose of this study was to compare physical demands during the most demanding scenarios (MDS) of different training sessions and official matches in professional basketball players across playing positions. Thirteen professional basketball players were monitored over a 9-week competitive season using a local positioning system. Peak physical demands included total distance, distance covered at > 18 km·h-1, distance and number of accelerations (≥ 2 m∙s-2) and decelerations (≤ -2 m∙s-2) over a 60-second epoch. Analysis of variance for repeated measures, Bonferroni post-hoc tests and standardised Cohen's effect size (ES) were calculated. Overall, almost all physical demands during the MDS of training were lower (-6.2% to -35.4%) compared to official matches. The only variable that surpassed competition demands was distance covered at > 18 km·h-1, which presented moderate (ES = 0.61, p = 0.01) and small (ES = 0.48, p > 0.05) increases during training sessions four and three days before a competition, respectively. Conversely, the two previous practices before match day presented trivial to very large decreases (ES = 0.09-2.66) in all physical demands. Furthermore, centres achieved the lowest peak value in total distance covered during matches, forwards completed the greatest peak distance at > 18 km·h-1, and guards performed the greatest distance and number of high-intensity accelerations and decelerations. In conclusion, physical demands during the MDS of different training sessions across the microcycle failed to match or surpass peak values during official matches, which should be considered when prescribing a training process intended to optimise the MDS of match play.

3.
J Sport Health Sci ; 11(3): 403-414, 2022 05.
Article in English | MEDLINE | ID: mdl-32445903

ABSTRACT

OBJECTIVE: Soccer match-play is typically contested over 90 min; however, in some cup and tournament scenarios, when matches are tied, they proceed to an additional 30 min, which is termed "extra-time" (ET). This systematic review sought to appraise the literature available on 120-min of soccer-specific exercise, with a view to identifying practical recommendations and future research opportunities. METHODS: The review was conducted according to the PRISMA guidelines. Independent researchers performed a systematic search of PubMed, CINAHL, and PsycINFO in May 2019, with the following keywords entered in various combinations: "soccer", "football", "extra-time", "extra time", "extratime", "120 minutes", "120 min", "additional 30 minutes", and "additional 30 min". RESULTS: The search yielded an initial 73 articles. Following the screening process, 11 articles were accepted for analyses. Articles were subsequently organized into the following 5 categories: movement demands of ET, performance responses to ET, physiological and neuromuscular response during ET, nutritional interventions, and recovery and ET. The results highlighted that during competitive match-play, players cover 5%-12% less distance relative to match duration (i.e., meters per minute) during ET compared to the preceding 90 min. Reductions in technical performance (i.e., shot speed, number of passes and dribbles) were also observed during ET. Additionally, carbohydrate provision may attenuate and improve dribbling performance during ET. Moreover, objective and subjective measures of recovery may be further compromised following ET when compared to 90 min. CONCLUSION: Additional investigations are warranted to further substantiate these findings and identify interventions to improve performance during ET.


Subject(s)
Athletic Performance , Soccer , Athletic Performance/physiology , Movement , Soccer/physiology , Humans
4.
Eur J Sport Sci ; 21(11): 1551-1558, 2021 Nov.
Article in English | MEDLINE | ID: mdl-33070715

ABSTRACT

Understanding the most demanding scenarios of basketball match-play can optimise training prescription. We established physical demand differences in total distance covered, distance covered at high-speed running, distance covered at high-intensity accelerations and decelerations, number of high-speed running actions and number of high-intensity accelerations comparing the traditional average method with the most demanding scenarios based on 1-minute rolling averages. Physical demand parameters were analysed from 21 elite basketball players according to playing position during a friendly game via local positioning system microtechnology. The results showed that players covered a total distance of 141.3 m·min-1 (p < 0.001; ES = 7.80) and 25.4 m·min-1 (p < 0.001; ES = 4.52) at high-speed running using rolling averages, compared to 66.3 and 3.2 m min-1, respectively, using the traditional average approach. These data represent a very large increase of 113.1% for total distance per minute and 686.4% for high-speed running distance per minute, 252% for the number of high-intensity accelerations and 290.5% for the number of high-intensity decelerations, respectively, demonstrating the relevance of this novel approach. In conclusion, this investigation indicated that the traditional average method underestimates peak physical demands over a 1-minute period during a basketball game. Thus, the average approach should be complemented by analysing the most demanding scenarios in order to have a better understanding of physical demands during basketball competition.


Subject(s)
Athletic Performance/physiology , Basketball/physiology , Running/physiology , Acceleration , Adult , Geographic Information Systems , Humans , Male , Young Adult
5.
Front Psychol ; 11: 552, 2020.
Article in English | MEDLINE | ID: mdl-32373001

ABSTRACT

The main purpose of this study was to describe the most demanding scenarios of match play in basketball through a number of physical demand measures (high-intensity accelerations and decelerations, relative distance covered, and relative distance covered in established speed zones) for four different rolling average time epochs (30, 60, 180, and 300 s) during an official international tournament. A secondary purpose was to identify whether there were significant differences in physical demand measures among playing positions (centers, guards, and forwards) and levels (two best classified teams in the tournament and remaining teams), match scoring (winning, losing, and drawing), and playing periods (match quarter) at the moment of the most demanding scenarios. Data were collected from 94 male under 18 (U18) elite basketball players (age: 17.4 ± 0.7 years; stature: 199.0 ± 11.9 cm; body mass: 87.1 ± 13.1 kg) competing in a Euroleague Basketball Tournament. Measures were compared via a Bayesian inference analysis. The results revealed the presence of position-related differences [Bayesian factor (BF) > 10 (at least strong evidence) and standardized effect size (δ) > 0.6 (at least moderate)] so that centers covered a lower relative distance at speed zone 1 and had lower high-intensity accelerations and decelerations than guards. However, the Bayesian analysis did not demonstrate the existence of significant differences in any physical demand measure in relation to the playing level, match scoring, and playing periods at the moment of the most demanding scenarios. Therefore, this study provides coaches and strength and conditioning specialists with a most demanding scenario reference on physical demands that can be used as an upper limit threshold in the training and rehabilitation monitoring processes.

6.
Int J Sports Physiol Perform ; 11(6): 816-823, 2016 Sep.
Article in English | MEDLINE | ID: mdl-26693968

ABSTRACT

PURPOSE: To investigate activity profiles of Australian rugby league players during match play by competition, position, and match outcome in the New South Wales (NSW) second-tier competitions. METHODS: Eighteen NSW Cup (NSWC) and 22 National Youth Competition (NYC) players, participating in this prospective cohort study, were categorized into 3 positional groups: forwards, adjustables, and outside backs. Global positioning system devices were used to examine activity profiles (distance and relative distance covered in walking, jogging, moderate, high, very high, and sprinting speed zones and quantification of high-speed movement) during match play in 21 NSWC and 22 NYC matches (N = 339 files). RESULTS: NSWC players performed more sprints (36.5 ± 9.3 vs 28.4 ± 9.2) and greater relative distance in moderate speed zones (18.4 ± 3.2 vs 15.8 ± 3.1 m/min) than NYC. NSWC outside backs covered greater relative distance in jogging (29.4 ± 2.9 vs 24.8 ± 2.7 m/min) and moderate speed zones (17.0 ± 2.6 vs 12.8 ± 2.8 m/min) than their NYC counterparts. Adjustables performed more sprints (39.4 ± 10.1 vs 27.0 ± 9.2), high-intensity accelerations (3.7 ± 1.4 vs 1.9 ± 1.4), and relative distance (84.8 ± 4.3 vs 88.6 ± 4.8 m/min) than forwards and greater relative distance (81.5 ± 3.8 m/min) and sprints (31.0 ± 8.0) than outside backs. Adjustables recorded greater relative distance (19.8 m/min) in moderate speed zones than forwards (16.7 ± 3.1 m/min) and outside backs (14.9 ± 2.7 m/min). Adjustables covered ~685 m more than outside backs during a win. CONCLUSIONS: This is the first study to document the activity profiles of the NSW second-tier rugby league competition. The findings underscore the elevated match demands of adjustables and indicate higher intensity of play in NSWC than NYC that may more closely resemble the demands of National Rugby League match play.


Subject(s)
Athletic Performance/physiology , Competitive Behavior , Exercise/physiology , Football/physiology , Physical Exertion , Acceleration , Athletes , Athletic Performance/psychology , Australia , Biomechanical Phenomena , Cohort Studies , Exercise/psychology , Football/psychology , Geographic Information Systems , Humans , Male , Running/physiology , Young Adult
SELECTION OF CITATIONS
SEARCH DETAIL