ArticleEuropean journal of applied physiology2014
A comparison of methods for quantifying training load: relationships between modelled and actual training responses.
Article in European journal of applied physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 7 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Incidence and Risk Factors for the Development of Stress Fractures in Military Recruits and Qualified Personnel: A Systematic Review.International journal of environmental research and public health · 2025Pooled it
- Rating of perceived exertion in continuous sports: a scoping review with evidence gap map.Frontiers in sports and active living · 2025Pooled it
- Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices.Sports medicine (Auckland, N.Z.) · 2021Pooled it
- Swim-Training Volume and Shoulder Pain Across the Life Span of the Competitive Swimmer: A Systematic Review.Journal of athletic training · 2020Pooled it
- Relationships Between Training Load Indicators and Training Outcomes in Professional Soccer.Sports medicine (Auckland, N.Z.) · 2017Pooled it
- Monitoring Athletic Training Status Through Autonomic Heart Rate Regulation: A Systematic Review and Meta-Analysis.Sports medicine (Auckland, N.Z.) · 2016Pooled it
- Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review.British journal of sports medicine · 2016Pooled it
- Collegiate Male Soccer Players Reporting Their Perceived Exertion: Differences in Internal and External Intensity between Different RPE Values and Zones.Journal of human kinetics · 2026Article
- Standardizing moderate- and vigorous-intensity exercise doses by physiological strain: an exploratory randomized cross-over study.European journal of applied physiology · 2026Article
- Do Training Load Metrics Agree? A Comparison of Session Rate of Perceived Exertion, Physiological and Biomechanical Load in Outdoor Running.Sports medicine - open · 2026Article
- Prediction of athlete performance based on a gradient regression model.Scientific reports · 2026Article
- Training load and intensity in triathlon: objective differences between sex, age, race distance preference and training phase across a cohort of 95 age-group triathletes over six months.Frontiers in sports and active living · 2026Article
- The three-dimensional impulse-response model: Modeling the training process in accordance with energy system-specific adaptation.PloS one · 2026Article
- [Optimization and validation of a mathematical model for precise assessment of personalized exercise load based on wearable devices].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
- Article
- Validity of smartwatch-derived estimates of lactate threshold heart rate and pace compared to graded exercise testing.Frontiers in physiology · 2025Article
- Which training load indicators are greater correlated with maturation and wellness variables in elite U14 soccer players?BMC pediatrics · 2024Article
- Article
- Research application of session-RPE in monitoring the training load of elite endurance athletes.Frontiers in neuroscience · 2024Article
- Case study of IMU loads and self-reported fatigue monitoring of water polo goalkeepers preparing for the Olympic games.Frontiers in sports and active living · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess the validity of methods for quantifying training load, fitness and fatigue in endurance athletes using a mathematical model.
methodsSeven trained runners (VO2max: 51.7 ± 4.5 mL kg(-1) min(-1), age: 38.6 ± 9.4 years, mean ± SD) completed 15 weeks of endurance running training. Training sessions were assessed using a heart rate (HR), running pace and rating of perceived exertion (RPE). Training dose was calculated using the session-RPE method, Banisters TRIMP and the running training stress score (rTSS). Weekly running performance (1,500-m time trial), fitness (submaximal HR, resting HR) and fatigue [profile of mood states, heart rate variability (HRV)] were measured. A mathematical model was applied to the training data from each runner to provide individual estimates of performance, fitness and fatigue. Correlations assessed the relationships between the modelled and actual weekly performance, fitness and fatigue measures within each runner.
resultsTraining resulted in 5.4 ± 2.6 % improvement in 1,500-m performance. Modelled performance was correlated with actual performance in each subject, with relationships being r = 0.70 ± 0.11, 0.60 ± 0.10 and 0.65 ± 0.13 for the rTSS, session-RPE and TRIMP input methods, respectively. There were moderate correlations between modelled and actual fitness (submaximal HR) for the session-RPE (-0.43 ± 0.37) and TRIMP (-0.48 ± 0.39) methods and moderate-to-large correlations between modelled and actual fatigue measured through HRV indices for both session-RPE (-0.48 ± 0.39) and TRIMP (-0.59 ± 0.31) methods.
conclusionsThese findings showed that each of the training load methods investigated are appropriate for quantifying endurance training dose and that submaximal HR and HRV may be useful for monitoring fitness and fatigue, respectively.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.