Changes in performance markers and wellbeing in elite senior professional rugby union players during a pre-season period: Analysis of the differences across training phases |
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| Affiliation: | 1. School of Public Health, Physiotherapy and Population Science, University College Dublin, Ireland;2. School of Health & Society, University of Salford, United Kingdom;1. Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia;2. School of Biological Sciences, University of Canterbury, Christchurch 8140, New Zealand;3. Department of Radiology, University of Otago Christchurch, PO Box 4345, Christchurch 8011, New Zealand;1. School of Allied Health/Pharmacy, University of Western Australia, Australia;2. Western Australian Institute of Sport, Australia;3. School of Human Sciences (Exercise and Sport Science), University of Western Australia, Australia;1. Applied Sports Technology Exercise and Medicine Research Centre (A-STEM), Health and Sport Portfolio, Swansea University, UK;2. London Sports Institute, Science and Technology, Middlesex University, UK;3. Department of Psychology, Sport and Exercise, School of Social Sciences, Humanities and Law, Teesside University, UK;4. School of Social and Health Sciences, Leeds Trinity University, UK;5. British Athletics, University of Loughborough, UK;1. Athlete Availability Program, Australian Institute of Sport, Australia;2. Research Institute for Sport and Exercise, University of Canberra, Australia;3. Netball Australia, Australia;4. Australian Collaboration for Research into Injury in Sport and its Prevention (ACRISP), Australia;5. Faculty of Health, University of Canberra, Australia;6. Sport Development Group, New South Wales Office of Sport, Australia;1. Sports Performance Research Institute New Zealand (SPRINZ) at AUT Millennium, Auckland University of Technology, New Zealand;2. School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Australia |
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| Abstract: | ObjectivesTo assess the magnitude of change and association with variation in training load of two performance markers and wellbeing, over three pre-season training blocks, in elite rugby union athletes.DesignObservational.MethodsTwenty-two professional players (age 25 ± 5 years; training age 6 ± 5 years; body mass, 99 ± 13 kg; stature 186 ± 6 cm) participated in this study, with changes in lower (CMJ height) and upper body (bench press mean speed) neuromuscular function and self-reported wellbeing (WB) assessed during an 11-week period.ResultsThere was a small increase in CMJ height (0.27, ±0.17 – likely substantial; standardised effect size, ±95% confidence limits – magnitude-based inference) (p = 0.003), bench press speed (0.26, ±0.15 – likely substantial) (p = 0.001) and WB (0.26, ±0.12 – possibly substantial) (p < 0.0001) across the pre-season period. There was a substantial interaction in the effect of training load on these three variables across the three training phases. A two-standard deviation (2SD) change in training load was associated with: a small decrease in CMJ height during the power phase (−0.32, ±0.19 – likely substantial) (p = 0.001); a small reduction in bench press speed during the hypertrophy phase (−0.40, ±0.32 – likely substantial) (p = 0.02); and a small reduction in WB during the strength phase (−0.40, ±0.24 – very likely substantial) (p < 0.0001). The effects of changes in training load across other phases were either likely trivial, only possibly substantial, or unclear.ConclusionsThe effect of training load on performance can vary both according to the type of training stimulus being administered and based on whether upper- or lower-body outcomes are being measured. |
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| Keywords: | Bench press Countermovement jump Self-reports Periodisation Training load |
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