The Quantification of Within-Week Session Intensity, Duration, and Intensity Distribution Across a Season in Australian Football Using the Session Rating of Perceived Exertion Method

被引:11
作者
Juhari, Farhan [1 ]
Ritchie, Dean [3 ]
O'Connor, Fergus [3 ]
Pitchford, Nathan [1 ]
Weston, Matthew [4 ]
Thornton, Heidi R. [5 ]
Bartlett, Jonathan D. [1 ,2 ]
机构
[1] Victoria Univ, Inst Hlth & Sport IHES, Melbourne, Vic, Australia
[2] Victoria Univ, Coll Sport & Exercise Sci, Melbourne, Vic, Australia
[3] Bond Univ, Fac Hlth Sci & Med, Bond Inst Hlth & Sport, Gold Coast, Qld, Australia
[4] Teesside Univ, Sch Social Sci Humanities & Law, Dept Psychol Sport & Exercise, Middlesbrough, Cleveland, England
[5] La Trobe Univ, La Trobe Sport & Exercise Med Res Ctr, Melbourne, Vic, Australia
关键词
training load; periodization; team sports; SOCCER PLAYERS; TRAINING-LOAD; INJURY RISK; ELITE; EXERCISE; VALIDITY;
D O I
10.1123/ijspp.2017-0626
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Context: Team-sport training requires the daily manipulation of intensity, duration, and frequency, with preseason training focusing on meeting the demands of in-season competition and training on maintaining fitness. Purpose: To provide information about daily training in Australian football (AF), this study aimed to quantify session intensity, duration, and intensity distribution across different stages of an entire season. Methods: Intensity (session ratings of perceived exertion; CR-10 scale) and duration were collected from 45 professional male AF players for every training session and game. Each session's rating of perceived exertion was categorized into a corresponding intensity zone, low (<4.0 arbitrary units), moderate (>= 4.0 and <7.0), and high (>= 7.0), to categorize session intensity. Linear mixed models were constructed to estimate session duration, intensity, and distribution between the 3 preseason and 4 in-season periods. Effects were assessed using linear mixed models and magnitude-based inferences. Results: The distribution of the mean session intensity across the season was 29% low intensity, 57% moderate intensity, and 14% high intensity. While 96% of games were high intensity, 44% and 49% of skills training sessions were low intensity and moderate intensity, respectively. Running had the highest proportion of high-intensity training sessions (27%). Preseason displayed higher training-session intensity (effect size [ES] = 0.29-0.91) and duration (ES = 0.33-1.44), while in-season game intensity (ES = 0.31-0.51) and duration (ES = 0.51-0.82) were higher. Conclusions: By using a cost-effective monitoring tool, this study provides information about the intensity, duration, and intensity distribution of all training types across different phases of a season, thus allowing a greater understanding of the training and competition demands of Australian footballers.
引用
收藏
页码:940 / 946
页数:7
相关论文
共 24 条
[1]   Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions [J].
Akenhead, Richard ;
Nassis, George P. .
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 2016, 11 (05) :587-593
[2]   Quantifying Training Intensity Distribution in a Group of Norwegian Professional Soccer Players [J].
Algroy, Erling A. ;
Hetlelid, Ken J. ;
Seiler, Stephen ;
Pedersen, Jorg I. Stray .
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 2011, 6 (01) :70-81
[3]   Quantification of training load during one-, two- and three-game week schedules in professional soccer players from the English Premier League: implications for carbohydrate periodisation [J].
Anderson, Liam ;
Orme, Patrick ;
Di Michele, Rocco ;
Close, Graeme L. ;
Morgans, Ryland ;
Drust, Barry ;
Morton, James P. .
JOURNAL OF SPORTS SCIENCES, 2016, 34 (13) :1250-1259
[4]   Increased High-Intensity Activity in Elite Australian Football Finals Matches [J].
Aughey, Robert J. .
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 2011, 6 (03) :367-379
[5]   Making Meaningful Inferences About Magnitudes [J].
Batterham, Alan M. ;
Hopkins, William G. .
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 2006, 1 (01) :50-57
[6]   THE INCREASE OF PERCEIVED EXERTION, ACHES AND PAIN IN THE LEGS, HEART-RATE AND BLOOD LACTATE DURING EXERCISE ON A BICYCLE ERGOMETER [J].
BORG, G ;
LJUNGGREN, G ;
CECI, R .
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY AND OCCUPATIONAL PHYSIOLOGY, 1985, 54 (04) :343-349
[7]   PSYCHOPHYSICAL BASES OF PERCEIVED EXERTION [J].
BORG, GAV .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 1982, 14 (05) :377-381
[8]   Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis [J].
Chen, MJ ;
Fan, XT ;
Moe, ST .
JOURNAL OF SPORTS SCIENCES, 2002, 20 (11) :873-899
[9]   Temporal Robustness of the Session Rating of Perceived Exertion [J].
Christen, Joshua ;
Foster, Carl ;
Porcari, John P. ;
Mikat, Richard P. .
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 2016, 11 (08) :1088-1093
[10]   ACCELEROMETER AND GPS-DERIVED RUNNING LOADS AND INJURY RISK IN ELITE AUSTRALIAN FOOTBALLERS [J].
Colby, Marcus J. ;
Dawson, Brian ;
Heasman, Jarryd ;
Rogalski, Brent ;
Gabbett, Tim J. .
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2014, 28 (08) :2244-2252