PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2018 | 25 | 4 |
Tytuł artykułu

Lessons learned from low-cost athlete monitoring in lacrosse during a 12-week training cycle

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Introduction. Monitoring athlete load is important for performance, but often includes expensive equipment. Aim of Study. The purpose of this study was to determine the feasibility of using heart rate (HR) monitors and session rating of perceived exertion (sRPE) to track training load for lacrosse athletes in practices and games and develop a load estimation during games. Material and Methods. Twelve Division I female lacrosse players wore chest straps and watches throughout 12-weeks of training sessions to measure cardiovascular load (CVL), and sRPE was collected after each session. Acute:chronic (A:C) training ratio was calculated using CVL and sRPE. Since athletes could not wear the HR monitor in regulated games, a multiplier was developed using HR data to estimate the CVL. Estimated CVL was compared to the actual CVL obtained during an exhibition game. Both sRPE and CVL were measured in arbitrary units (AU). Results. There was a moderate relationship between the CVL and sRPE load assessments (r = 0.445, p = 0.147). The mean A:C over the 12-week assessment period was 0.93 ± 0.17 AU and 1.13 ± 0.40 AU for CVL and sRPE load respectively, which is in the ideal range of A:C workload. The actual CVL (416.9 ± 100.6 AU) of an exhibition game compared poorly with CVL estimations using the game clock (227.2 ± 117.3 AU, r = 0.223, p = 0.565), running stopwatch (354.4 ± 145.7 AU, r = 0.195, p = 0.616), and running stopwatch excluding halftime (287.8 ± 147.0 AU, r = 0.195, p = 0.615). Conclusions. CVL and sRPE are feasible and cost-effective methods for monitoring training and A:C workload. CVL estimations for games were inaccurate, so sRPE should be used for low-cost game load assessment.
Słowa kluczowe
EN
Wydawca
-
Rocznik
Tom
25
Numer
4
Opis fizyczny
p.181-186,fig.,ref.
Twórcy
autor
  • Department of Physical Therapy, Campbell University, Buies Creek, North Carolina, USA
autor
  • Department of Physical Therapy, Campbell University, Buies Creek, North Carolina, USA
autor
  • Department of Physical Therapy, Campbell University, Buies Creek, North Carolina, USA
autor
  • Department of Physical Therapy, Campbell University, Buies Creek, North Carolina, USA
Bibliografia
  • 1. Ahrber K, Dresler M, Niedermaier S, Steiger A, Genzel L. The interaction between sleep quality and academic performance. J Psychiatr Res. 2012; 46(12): 1618-1622.
  • 2. Banister EW, Calvert TW, Savage MV, Bach T. A systems model of training for athletic perofmrance. Austr J Sports Med Exer Sci. 1975; 7: 57-61.
  • 3. Borg G. Borg’s Perceived Exertion and Pain Scales. Champaign, IL: Human Kinetics; 1998.
  • 4. Bourdon PC, Cardinale M, Murray A, Gastin P, Kellmann M, Varley MC, et al. Monitoring athlete training loads: Consensus statement. Int J Sports Physiol Perform. 2017; 12(2): S2161-S2170.
  • 5. Cardinale M, Varley MC. Wearble training-monitoring technology: Applications, challenges, and opportunities. Int J Sports Physiol Perform. 2017; 12(2): S255-S262.
  • 6. Edwards S. The Heart Rate Monitor Book. Sacramento, CA: Feet Fleet Press; 1993.
  • 7. Foster C. Monitoring training in athletes with reference to overtraining syndrome. Med Sci Sports Exerc. 1998; 30(7): 1164-1168.
  • 8. Foster C, Florhaug JA, Franklin J, Gottschall L, Hrovatin LA, Parker S, et al. A new approach to monitoring exercise training. J Strength Cond Res. 2007; 15(1): 109-115.
  • 9. Gabbett TJ. The training-injury prevention paradox: Should athletes be training smarter or harder? Br J Sports Med. 2016; 50(5): 273-280.
  • 10. Herman L, Foster C, Maher MA, Mikat RP, Porcari JP. Validity and reliability of the session RPE method for monitoring exercise training intensity. South African J Sports Med. 2006; 18: 14-17.
  • 11. Hulin BT, Gabbett TJ, Lawson DW, Caputi P, Sampson JA. The acute:chronic workload ratio predicts injury: High chronic workload may decrease injury risk in elite rugby league players. Br J Sports Med. 2016; 50(4): 231-236.
  • 12. Impellizzeri FM, Rampinini E, Coutts AJ, Sassi A, Marcora SM. Use of RPE-based training load in soccer. Med Sci Sports Exerc. 2004; 36(6): 1042-1047.
  • 13. Malone S, Collins K. Relationship between individualized training impulse and aerobic fitness measures in hurling players across a training period. J Strength Cond Res. 2016; 30(11): 3140-3145.
  • 14. Manzi V, Iellamo F, Impellizzeri F, D’Ottavio S, Castagna C. Relation between individualized training impulses and performance in distance runners. Med Sci Sports Exerc. 2009; 41(11): 2090-2096.
  • 15. Murray NB, Gabbett TJ, Townshend AD, Hulin BT, McLellan CP. Individual and combined effects of acute and chronic running loads on injury risk in elite Australian footballers. Scand J Med Sci Sports. 2017; 27(9): 990-998.
  • 16. Scott BR, Lockie RG, Knight TJ, Clkark AC, Janse de Jonge XA. A comparison of methods to quantify the inseason training load of professional soccer players. Int J Sports Physiol Perform. 2013; 8(2): 195-202.
  • 17. Scott TJ, Black CR, Quinn J, Coutts AJ. Validity and reliability of the session-RPE method for quantifying training in Australian football: a comparison of the CR10 and CR100 scales. J Strength Cond Res. 2013; 27(1): 270-276.
  • 18. Sullivan A. Exponentially weighted moving average calculator. 2018; available from: https://adam-sullivan.com/.
  • 19. Thornton HR, Delaney JA, Duthie GM, Scott BR, Chives WJ, Sanctuary CE, et al. Predicting self-reported illness for professional team-sport athletes. Int J Sports Physiol Perform. 2016; 11(4): 543-550.
  • 20. Wallace LK, Slattery KM, Coutts AJ. The ecological validity and application of the session-RPE method for quantifying training loads in swimming. J Strength Cond Res. 2009; 23(1): 33-38.
  • 21. Weaving D, Jones B, Marshall P, Till K, Abt G. Multiple measures are needed to quantify training loads in professional rugby league. Int J Sports Med. 2017; 38(1): 735-740.
  • 22. Weaving D, Marshall P, Earle K, Nevill A, Abt G. Combining internal- and external-training-load measures in professional rugby league. Int J Sports Physiol Perform. 2014; 9(6): 905-912.
  • 23. Wing C. Monitoring athlete load: Data collection methods and practical recommendations. Strength Cond J. 2018; 40(4): 26-39.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-0cb21c8e-d5b1-4b81-8236-f129570bf870
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.