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Quan Y, Zhao Y, Wang X, Xu Q. Higher final speed in 30-15 intermittent fitness tests correlates with soccer's locomotor demands, not heart rate responses in small-sided soccer games. Sci Rep 2024; 14:10970. [PMID: 38745037 PMCID: PMC11094125 DOI: 10.1038/s41598-024-61468-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
This study aimed to achieve two objectives: firstly, to analyze the relationships between aerobic fitness, as represented by the VIFT, and the heart rate and locomotor responses of youth male soccer players across various teams; and secondly, to compare players with lower and higher VIFT in terms of performance outcomes extracted during small-sided games (SSGs). A total of twenty-six youth male soccer players, aged 16.5 ± 0.32 years, with 3.4 ± 1.1 years of experience, voluntarily participated in the study. These players belonged to two regional-level tier 2 teams (trained/developmental). In the initial week of observation, the 30-15 Intermittent Fitness Test was implemented to measure the final velocity (VIFT) achieved by the players. Subsequently, the 5v5 format of play was conducted twice a week over two consecutive weeks, during which heart rate responses and locomotor demands were measured. The Pearson product-moment correlation test revealed a significant correlation between VIFT and the total distance covered during the 5v5 format (r = 0.471 [95% CI: 0.093; 0.721], p = 0.015). Conversely, small and non-significant correlations were identified between VIFT and mean heart rate (r = 0.280 [95% CI: - 0.126; 0.598]; p = 0.166), VIFT and peak heart rate (r = 0.237 [95% CI: - 0.170; 0.569]; p = 0.243), as well as VIFT and high-speed running (r = 0.254 [95% CI: - 0.153; 0.580]; p = 0.211). Players with higher VIFT demonstrated a significantly greater total distance, with a large effect size (+ 6.64%; p = 0.015; d = 1.033), compared to those with lower VIFT. Our findings suggest that improved performance in VIFT may lead to covering more distance in 5v5 matches. However, the lack of significant associations between VIFT and heart rate levels during SSGs suggests that they are not strongly correlated, possibly because VIFT is more closely linked to locomotor profile. As a practical implication, coaches may consider organizing players during SSGs based on their VIFT if the goal is to standardize locomotor demands.
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Affiliation(s)
- YanXiu Quan
- College of Physical Education, China West Normal University, Nanchong, 637009, Sichuan, China
| | - YongXing Zhao
- College of Physical Education, Chizhou University, Chizhou, 247000, Anhui, China.
| | - XiaoShuang Wang
- College of Physical Education, Chizhou University, Chizhou, 247000, Anhui, China
| | - Qi Xu
- Gdansk University of Physical Education and Sport, 80-336, Gdańsk, Poland
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Chiu YW, Silva RM, Ceylan HI, Clemente FM, González-Fernández FT, Chen YS. Relationships among Physical Fitness, External Loads, and Heart Rate Recovery: A Study on Futsal Players during an Overseas Congested-Weeks Training Camp. J Hum Kinet 2024; 92:73-85. [PMID: 38736601 PMCID: PMC11079921 DOI: 10.5114/jhk/176299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 12/04/2023] [Indexed: 05/14/2024] Open
Abstract
This study examined relationships among players' physical characteristics, match external loads, and heart rate recovery (HRR) during match substitutions in a congested fixture of an overseas futsal training camp. Eleven under-20 national futsal players' anthropometric characteristics (age, body height, body mass, % fat, and % muscle) and physical fitness [HRmax, VO2max, maximal aerobic speed (MAS) during the 30-15 intermittent fitness test (IFT)] were determined. Additionally, locomotion profiles during field play and HRR sitting on the bench were recorded during five matches. A repeated-measures analysis of variance and Pearson's correlation coefficient were used for statistical analysis. The results revealed that the overall observed correlations among anthropometry, body composition, physical fitness, and HRR were inconsistent across all the matches and substitutions. However, the numbers of moderate (1.00-1.99 m/s2), moderate-to-high (2.00-2.99 m/s2), and high (3.00-50.00 m/s2) intensities of acceleration presented negative correlations in the last match (r < -0.76; p < 0.05). HRR during match substitutions may have been influenced by uncontrolled factors across all the match play and recovery. HRR measures may be affected mainly by fatigue caused by the accumulation of accelerations throughout a congested fixture during a congested-schedule of a futsal training camp.
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Affiliation(s)
- Yi-Wen Chiu
- Department of Physical Education, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Rui Miguel Silva
- Escola Superior Desporto e Lazer (School of Sport and Leisure), Instituto Politécnico de Viana do Castelo (Polytechnic Institute of Viana do Castelo), Viana do Castelo, Portugal
- Sport Physical Activity and Health Research & Innovation Center (SPRINT), Viana do Castelo, Portugal
| | - Halil Ibrahim Ceylan
- Physical Education and Sports Teaching Department, Kazim Karabekir Faculty of Education, Atatürk University, Erzurum, Turkey
| | - Filipe Manuel Clemente
- Escola Superior Desporto e Lazer (School of Sport and Leisure), Instituto Politécnico de Viana do Castelo (Polytechnic Institute of Viana do Castelo), Viana do Castelo, Portugal
- Sport Physical Activity and Health Research & Innovation Center (SPRINT), Viana do Castelo, Portugal
- Department of Biomechanics and Sport Engineering, Gdansk University of Physical Education and Sport, Gdańsk, Poland
| | | | - Yung-Sheng Chen
- Department of Exercise and Health Sciences, University of Taipei, Taipei, Taiwan
- Exercise and Health Promotion Association, New Taipei City, Taiwan
- Tanyu Research Laboratory, Taipei, Taiwan
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Hu X, Boisbluche S, Philippe K, Maurelli O, Ren X, Li S, Xu B, Prioux J. Position-specific workload of professional rugby union players during tactical periodization training. PLoS One 2024; 19:e0288345. [PMID: 38551898 PMCID: PMC10980212 DOI: 10.1371/journal.pone.0288345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/20/2023] [Indexed: 04/01/2024] Open
Abstract
The positional workload characteristics in rugby union on three acquisition days (i.e. strength, endurance, and speed days) of tactical periodization are still relatively unknown. Therefore, the primary aim of this study was to shed light on the positional external workload variables (10 Hz Global Positioning System and accelerometer microtechnology) and internal workload indicators (the session rating of perceived exertion) of players in a professional rugby union team by utilizing and comparing two tactical periodization models. Twenty-six male players (15 forwards and 11 backs) were recruited from a French second-division rugby club. Data were obtained over 10 weeks of in-season home games: a total of 780 observations were analyzed. Student's t-test observed different external workload profiles between positions among acquisition days. Mean external workload values, except PlayerLoadslow, were significantly higher (p≤0.01; effect size: 0.41-1.93) for backs than forwards for all acquisition days. Moreover, forwards perceived a higher internal workload than backs on the strength day of both models. The findings demonstrate that applying these two tactical periodization models could result in effective rugby union training. Validating external and internal workload characteristics on tactical periodization acquisition days enables extensive analysis of training load monitoring data; these data can be utilized to discover the unique characteristics of each position and design position-specific acquisition days to improve performance.
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Affiliation(s)
- Xiaopan Hu
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
- Movement, Sport, and Health Sciences Laboratory, Rennes 2 University, Bruz, France
- Department of Sport Sciences and Physical Education, École Normale Supérieure de Rennes, Bruz, France
| | | | - Kilian Philippe
- Department of Sport Sciences and Physical Education, École Normale Supérieure de Rennes, Bruz, France
- Movement, Balance, Performance, and Health Laboratory, University of Pau and Pays de l’Adour, Tarbes, France
| | - Olivier Maurelli
- Muscle Dynamics and Metabolism Laboratory, University of Montpellier, Montpellier, France
| | - Xiangyu Ren
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
- Movement, Sport, and Health Sciences Laboratory, Rennes 2 University, Bruz, France
- Department of Sport Sciences and Physical Education, École Normale Supérieure de Rennes, Bruz, France
| | - Shichang Li
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Bo Xu
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Jacques Prioux
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
- Movement, Sport, and Health Sciences Laboratory, Rennes 2 University, Bruz, France
- Department of Sport Sciences and Physical Education, École Normale Supérieure de Rennes, Bruz, France
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Quantifying Exposure and Intra-Individual Reliability of High-Speed and Sprint Running During Sided-Games Training in Soccer Players: A Systematic Review and Meta-analysis. Sports Med 2023; 53:371-413. [PMID: 36331702 PMCID: PMC9877094 DOI: 10.1007/s40279-022-01773-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/28/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Sided games (i.e., small sided, medium sided, large sided) involve tactical, technical, physical, and psychological elements and are commonly implemented in soccer training. Although soccer sided-games research is plentiful, a meta-analytical synthesis of external load exposure during sided games is lacking. OBJECTIVE The objective of this systematic review and meta-analysis was to: (1) synthesize the evidence on high-speed and sprint running exposure induced by sided games in adult soccer players, (2) establish pooled estimates and intra-individual reliability for high-speed and sprint running exposure, and (3) explore the moderating effects of game format and playing constraints. METHODS A literature search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Four databases (PubMed/MEDLINE, Scopus, SPORTDiscus, Web of Science Core Collection) were systematically searched up to 25 January, 2022. Eligibility criteria were adult soccer players (population); training programs incorporating sided games (intervention); game manipulations including number of players, pitch dimension, and game orientation (comparator); and high-speed, very high-speed, and sprint relative (m[Formula: see text]min-1) running distances and associated intra-individual reliability (outcome). Eligible study risk of bias was evaluated using RoBANS. Pooled estimates for high-speed and sprint running exposure, and their intra-individual reliability, along with the moderating effect of tracking device running velocity thresholds, pitch dimension (i.e., area per player), and game orientation (i.e. score or possession), were determined via a multi-level mixed-effects meta-analysis. Estimate uncertainty is presented as 95% compatibility intervals (CIs) with the likely range of relative distances in similar future studies determined via 95% prediction intervals. RESULTS A total of 104 and 7 studies met our eligibility criteria for the main and reliability analyses, respectively. The range of relative distances covered across small-sided games, medium-sided games, and large-sided games was 14.8 m[Formula: see text]min-1 (95% CI 12.3-17.4) to 17.2 m[Formula: see text]min-1 (95% CI 13.5-20.8) for high-speed running, 2.7 m[Formula: see text]min-1 (95% CI 1.8-3.5) to 3.6 m[Formula: see text]min-1 (95% CI 2.3-4.8) for very high-speed running, and 0.2 m[Formula: see text]min-1 (95% CI 0.1-0.4) to 0.7 m[Formula: see text]min-1 (95% CI 0.5-0.9) for sprinting. Across different game formats, 95% prediction intervals showed future exposure for high-speed, very high-speed running, and sprinting to be 0-46.5 m[Formula: see text]min-1, 0-14.2 m[Formula: see text]min-1, and 0-2.6 m[Formula: see text]min-1, respectively. High-speed, very high-speed running, and sprinting showed poor reliability with a pooled coefficient of variation of 22.8% with distances being moderated by device speed thresholds, pitch dimension, and game orientation. CONCLUSIONS This review is the first to provide a detailed synthesis of exposure and intra-individual reliability of high-speed and sprint running during soccer sided games. Our estimates, along with the moderating influence of common programming variables such as velocity thresholds, area per player, and game orientation should be considered for informed planning of small-sided games, medium-sided games, and large-sided games soccer training. CLINICAL TRIAL REGISTRATION Open Science Framework available through https://osf.io/a4xr2/ .
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Ellens S, Middleton K, Gastin PB, Varley MC. Techniques to derive and clean acceleration and deceleration data of athlete tracking technologies in team sports: A scoping review. J Sports Sci 2022; 40:1772-1800. [PMID: 35446231 DOI: 10.1080/02640414.2022.2054535] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The application of acceleration and deceleration data as a measure of an athlete's physical performance is common practice in team sports. Acceleration and deceleration are monitored with athlete tracking technologies during training and games to quantify training load, prevent injury and enhance performance. However, inconsistencies exist throughout the literature in the reported methodological procedures used to quantify acceleration and deceleration. The object of this review was to systematically map and provide a summary of the methodological procedures being used on acceleration and deceleration data obtained from athlete tracking technologies in team sports and describe the applications of the data. Systematic searches of multiple databases were undertaken. To be included, studies must have investigated full body acceleration and/or deceleration data of athlete tracking technologies. The search identified 276 eligible studies. Most studies (60%) did not provide information on how the data was derived and what sequence of steps were taken to clean the data. Acceleration and deceleration data were commonly applied to quantify and describe movement demands using effort metrics. This scoping review identified research gaps in the methodological procedures and deriving and cleaning techniques that warrant future research focussing on their effect on acceleration and deceleration data.
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Affiliation(s)
- Susanne Ellens
- Sport and Exercise Science, School of Allied Health, Human Services & Sport, La Trobe University, Melbourne, VIC, Australia.,La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne, VIC, Australia
| | - Kane Middleton
- Sport and Exercise Science, School of Allied Health, Human Services & Sport, La Trobe University, Melbourne, VIC, Australia.,La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne, VIC, Australia
| | - Paul B Gastin
- Sport and Exercise Science, School of Allied Health, Human Services & Sport, La Trobe University, Melbourne, VIC, Australia.,La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne, VIC, Australia
| | - Matthew C Varley
- Sport and Exercise Science, School of Allied Health, Human Services & Sport, La Trobe University, Melbourne, VIC, Australia.,La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne, VIC, Australia
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Shushan T, McLaren SJ, Buchheit M, Scott TJ, Barrett S, Lovell R. Submaximal Fitness Tests in Team Sports: A Theoretical Framework for Evaluating Physiological State. Sports Med 2022; 52:2605-2626. [PMID: 35817993 PMCID: PMC9584880 DOI: 10.1007/s40279-022-01712-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/22/2022] [Indexed: 02/01/2023]
Abstract
Team-sports staff often administer non-exhaustive exercise assessments with a view to evaluating physiological state, to inform decision making on athlete management (e.g., future training or recovery). Submaximal fitness tests have become prominent in team-sports settings for observing responses to a standardized physical stimulus, likely because of their time-efficient nature, relative ease of administration, and physiological rationale. It is evident, however, that many variations of submaximal fitness test characteristics, response measures, and monitoring purposes exist. The aim of this scoping review is to provide a theoretical framework of submaximal fitness tests and a detailed summary of their use as proxy indicators of training effects in team sports. Using a review of the literature stemming from a systematic search strategy, we identified five distinct submaximal fitness test protocols characterized in their combinations of exercise regimen (continuous or intermittent) and the progression of exercise intensity (fixed, incremental, or variable). Heart rate-derived indices were the most studied outcome measures in submaximal fitness tests and included exercise (exercise heart rate) and recovery (heart rate recovery and vagal-related heart rate variability) responses. Despite the disparity between studies, these measures appear more relevant to detect positive chronic endurance-oriented training effects, whereas their role in detecting negative transient effects associated with variations in autonomic nervous system function is not yet clear. Subjective outcome measures such as ratings of perceived exertion were less common in team sports, but their potential utility when collected alongside objective measures (e.g., exercise heart rate) has been advocated. Mechanical outcome measures either included global positioning system-derived locomotor outputs such as distance covered, primarily during standardized training drills (e.g., small-sided games) to monitor exercise performance, or responses derived from inertial measurement units to make inferences about lower limb neuromuscular function. Whilst there is an emerging interest regarding the utility of these mechanical measures, their measurement properties and underpinning mechanisms are yet to be fully established. Here, we provide a deeper synthesis of the available literature, culminating with evidence-based practical recommendations and directions for future research.
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Affiliation(s)
- Tzlil Shushan
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
| | - Shaun J. McLaren
- Newcastle Falcons Rugby Club, Newcastle upon Tyne, UK ,grid.8250.f0000 0000 8700 0572Department of Sport and Exercise Sciences, Durham University, Durham, UK
| | - Martin Buchheit
- HIIT Science, Revelstoke, BC Canada ,grid.418501.90000 0001 2163 2398French National Institute of Sport (INSEP), Laboratory of Sport, Expertise and Performance (EA 7370), Paris, France ,Kitman Labs, Performance Research Intelligence Initiative, Dublin, Ireland ,grid.1019.90000 0001 0396 9544Institute for Health and Sport, Victoria University, Melbourne, VIC Australia
| | - Tannath J. Scott
- Netball Australia, Melbourne, VIC Australia ,grid.10346.300000 0001 0745 8880Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Steve Barrett
- Department of Sport Science Innovation, Playermaker, London, UK
| | - Ric Lovell
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
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