ArticleFrontiers in physiology2019
Match and Training Load Exposure and Time-Loss Incidence in Elite Rugby Union Players.
Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Injuries in Elite Men's Rugby Union: An Updated (2012-2020) Meta-Analysis of 11,620 Match and Training Injuries.Sports medicine (Auckland, N.Z.) · 2022Pooled it
- The Use of Global Positioning and Accelerometer Systems in Age-Grade and Senior Rugby Union: A Systematic Review.Sports medicine - open · 2021Pooled it
- Is the Acute: Chronic Workload Ratio (ACWR) Associated with Risk of Time-Loss Injury in Professional Team Sports? A Systematic Review of Methodology, Variables and Injury Risk in Practical Situations.Sports medicine (Auckland, N.Z.) · 2020Pooled it
- A Retrospective Weekly Rating of Perceived Exertion Measure May Assist Training Load Monitoring in Professional Tennis Players.Sports (Basel, Switzerland) · 2026Article
- Analyzing Workload-Monitoring Consistency and Same-Week Injury-Classification Performance in Female Adolescent Swimmers: An Exploratory Session-RPE and Neural Network Study.Life (Basel, Switzerland) · 2026Article
- Contributors to negative biopsychosocial outcomes in rugby players (CoNBO): part 1 the systematic review.BMJ open sport & exercise medicine · 2026Article
- Epidemiology of rugby injuries: a systematic review and meta-analysis.BMJ open sport & exercise medicine · 2026Article
- Injury Incidences related to Acute-to-Chronic Workload Ratios in Taekwondo: A Prospective Study with a 3-Year Follow-Up.Journal of athletic training · 2025Article
- Session-RPE for quantifying workload in olympic curling athletes.Frontiers in sports and active living · 2025Article
- Contact load is associated with both contact and non-contact injuries in rugby union.Frontiers in physiology · 2025Article
- Article
- Analyzing activity and injury risk in elite curling athletes: seven workload monitoring metrics from session-RPE.Frontiers in public health · 2024Article
- Relationship between the contact load and time-loss injuries in rugby union.Frontiers in sports and active living · 2024Article
- Training Load and Injury Among Middle School-Aged Athletes.Journal of athletic training · 2020Article
- Does an Optimal Relationship Between Injury Risk and Workload Represented by the "Sweet Spot" Really Exist? An Example From Elite French Soccer Players and Pentathletes.Frontiers in physiology · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the impact of match and training load on time-loss incidence in elite, professional Rugby Union players. MATERIALS AND
methodsEighty-nine Rugby Union players were monitored over two seasons of training and competition. Load was measured for all training sessions and matches using subjective [session ratings of perceived exertion (sRPE) load; RPE × session duration] and objective [global positioning systems (GPS); distance and high-speed running distance] methods and quantified using multiple approaches; absolute match and training load, acute:chronic workload ratio (ACWR), exponentially weighted moving average (EWMA) and cumulative 7, 14, 21, and 28 d sums. Mixed effect models were used to assess the effect of each variable on time-loss incidence.
resultsOf the 474 time-loss incidences that occurred across the two seasons, 50.0% were contact injuries (86.5% occurred during matches and 13.5% during training), 34.8% were non-contact injuries (31.5% occurred during matches and 68.5% during training) and 15.2% were cases of illness. The absolute match and training load variables provided the best explanation of the variance in time-loss incidence occurrence [sRPE load:
conclusionOverall, the absolute sRPE load variable best explained the variance in time-loss incidence, followed by absolute distance and absolute high-speed running distance. Whilst the model fit using the EWMA approach was not as good as the absolute load variables, it was better than when the same variables were calculated using the ACWR method. Overall, these findings suggest that the absolute match and training load variables provide the best predictors of time-loss incidence rates, with sRPE load likely to be the optimal variant of those examined here.
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