Influence of an Intensified Competition on Fatigue and Match Performance in Junior Rugby League Players
Initiatives
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The aim of this study was to assess the physiological responses to an intensified rugby league competition and explore the relationships between fatigue and match performance.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2013
- End Year
- 2013
- Funding
- No financial support was obtained to carry out this research.
Design
- Study design
- Population cohort
Marker Paper
Johnston RD, Gabbett TJ, Jenkins DG. Influence of an intensified competition on fatigue and match performance in junior rugby league players. J Sci Med Sport. 2013;16(5):460‐465. doi:10.1016/j.jsams.2012.10.009
PUBMED 23245879
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 15
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
junior rugby league players
Fifteen junior rugby league players (n = 8 forwards, 7 backs; mean ± SE, age 16.6 ± 0.2 years; body mass 81.6 ± 3.0 kg; and height 178.9 ± 1.8 cm) competed in five 40 min games over 5 days (two games each on days 1 and 2, one game on day 4, and no games on days 3 and 5). Over the competition, players performed a countermovement jump to assess neuromuscular fatigue, provided a fingertip blood sample to measure blood creatine kinase, and completed a questionnaire to monitor perceived wellbeing; ratings of perceived effort were recorded following each game.
Selection Criteria
- Gender
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men
- Newborns
- Twins
- Countries
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- Australia
- Ethnic Origin
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- Health Status
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Recruitment
- Sources of recruitment
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- General population
Number of participants
- Number of participants
- 15
- Number of participants with biosamples
Data Collection Event
Global positioning system and video analysis of each game were used to assess match performance.
- Start Date
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2015
- End Date
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2015
- Data sources
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Geospatial technology
- Global navigation satellite systems (GNSS) (e.g. GPS, GLONASS, Galileo, etc.)
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Geospatial technology