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CC BY-NC-ND 4.0 · Sports Med Int Open 2017; 1(06): E195-E199
DOI: 10.1055/s-0043-118650
Training & Testing
Eigentümer und Copyright ©Georg Thieme Verlag KG 2017

The within-participant Correlation between s-RPE and Heart Rate in Youth Sport

Sean Scantlebury
1   Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, UK
2   Queen Ethelburgas Collegiate, York, UK
,
Kevin Till
1   Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, UK
,
Greg Atkinson
3   Health and Social Care Institute, Teeside University, Middlesbrough, UK
,
Tom Sawczuk
1   Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, UK
2   Queen Ethelburgas Collegiate, York, UK
,
Ben Jones
1   Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, UK
2   Queen Ethelburgas Collegiate, York, UK
4   The Rugby Football League, Leeds, UK
› Author Affiliations
Further Information

Publication History

received 21 July 2017
revised 06 August 2017

accepted 08 August 2017

Publication Date:
29 September 2017 (online)

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Abstract

The monitoring of training load is important to ensure athletes are adapting optimally to a training stimulus. Before quantification of training load can take place, coaches must be confident that the tools available are accurate. We aimed to quantify the within-participant correlation between the session rating of perceived exertion (s-RPE) and summated heart rate zone (sHRz) methods of monitoring internal training load. Training load (s-RPE and heart rate) data were collected for rugby, soccer and field hockey field-based training sessions over a 14-week in-season period. A total of 397 sessions were monitored (rugby n=170, soccer n=114 and field hockey n=113). Within-subject correlations between s-RPE and sHRz were quantified for each sport using a general linear model. Large correlations between s-RPE and the sHRz method were found for rugby (r=0.68; 95% CI 0.59–0.75) and field hockey (r=0.60; 95% CI 0.47–0.71) with a very large correlation found for soccer (r=0.72; 95% CI 0.62–0.80). No significant differences were found between the correlations for each sport. The very large and large correlations found between s-RPE and the sHRz methods support the use of s-RPE in quantifying internal training load in youth sport.

Key word

training load - periodisation - soccer - rugby - hockey
 

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