Search Results

You are looking at 21 - 30 of 58 items for :

  • "load monitoring" x
Clear All
Restricted access

Callum J. McCaskie, Warren B. Young, Brendan B. Fahrner and Marc Sim

was believed that the influence of preseason training on in-season performance would diminish as the season progressed. Round 1 selection was also used as a performance indicator. Table 1 Preseason Training Variables Analyzed Preseason training variable Description External-load-monitoring variables

Restricted access

Fergus O’Connor, Heidi R. Thornton, Dean Ritchie, Jay Anderson, Lindsay Bull, Alex Rigby, Zane Leonard, Steven Stern and Jonathan D. Bartlett

to Very High) for a Range of Absolute and Relative Running Load Monitoring Parameters Across a 4-Week Period Load thresholds PPV, % IRR (95% CI) Absolute risk AUC (95% CI) Total distance covered  Very low (<50 km) 2.05 1.59 (0.86–2.94) 0.05% 0.555 (0.488–0.622)  Low (50–65 km) 1.36 1.06 (0

Restricted access

Craig A. Williams

. Making evidence-based decisions is emphasized, while the appropriate monitoring techniques are determined by both the sporting context and individual situation. Ultimately, a systematic approach to training-load monitoring is recommended for adolescent athletes to both maximize their athletic development

Restricted access

Miranda J. Menaspà, Paolo Menaspà, Sally A. Clark and Maurizio Fanchini

The session rating of perceived exertion (s-RPE) 1 has been validated in individual and team sports 2 – 4 and has been used in training load monitoring 5 and injury prevention. 6 , 7 Different perceptual scales have been proposed, validated, and used in several sports to measure exercise

Restricted access

Pedro Figueiredo, George P. Nassis and João Brito

explored as an additional tool. Practical Applications The sIgA could be used as an additional objective tool in the workload quantification and training load monitoring. 9 Although sIgA concentration in the present study did not fall to any great extent, sIgA could be used to identify players at risk of

Restricted access

Kristof Kipp, John Krzyszkowski and Daniel Kant-Hull

performance outcomes. 6 , 7 Traditionally, work in the field of load monitoring has used a systems-model approach, which aims to facilitate our understanding of how information about the training process can be used to predict an athlete’s readiness and potential for performance. 6 , 7 More recently

Restricted access

Lindsay T. Starling and Michael I. Lambert

load of the players. The most popular methods respondents used to monitor the training load were those that are relatively easy to record and do not require expensive equipment. In contrast, a large portion of professional teams incorporated microtechnologies in their training load monitoring. A study

Restricted access

Henrikas Paulauskas, Rasa Kreivyte, Aaron T. Scanlan, Alexandre Moreira, Laimonas Siupsinskas and Daniele Conte

endurance training . Int J Sports Physiol Perform . 2018 ; 13 : 1042 – 1049 . PubMed ID: 29543071 doi:10.1123/ijspp.2017-0707 10.1123/ijspp.2017-0707 29543071 15. Haddad M , Stylianides G , Djaoui L , Dellal A , Chamari K . Session-RPE method for training load monitoring: validity

Restricted access

Simon J. MacLeod, Chris Hagan, Mikel Egaña, Jonny Davis and David Drake

load monitoring models need to be prescriptive in nature by linking the training dose with the athlete’s response and performance. Microtechnology has allowed the monitoring and evaluation of external work performed by athletes. However, previous work 4 , 5 has shown variability in the accuracy of

Restricted access

Billy T. Hulin, Tim J. Gabbett, Rich D. Johnston and David G. Jenkins

fatigue management . Int J Sports Physiol Perform . 2015 ; 10 : 135 – 140 . 14. Burgess DJ . The research doesn’t always apply: practical solutions to evidence-based training-load monitoring in elite team sports . Int J Sports Physiol Perform . 2017 ; 12 ( suppl 2 ): 2136 – 2141 . doi:10.1123/ijspp