ArticleJournal of sports science & medicine2018
Modelling the HRV Response to Training Loads in Elite Rugby Sevens Players.
Article in Journal of sports science & medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Wearable-Derived Heart Rate Variability Across the Menstrual Cycle, Hormonal Contraceptive Use, and Reproductive Life Stages in Females: A Living Systematic Review.Sports medicine (Auckland, N.Z.) · 2026Pooled it
- Differentiating acute fatigue and overreaching during intensified training using a recursive least squares algorithm combined with the variable dose-response model.European journal of applied physiology · 2025Article
- The Potential of Heart Rate Variability Monitoring for Mental Health Assessment in Top Wheel Gymnastics Athletes: A Single Case Design.Applied psychophysiology and biofeedback · 2023Article
- Psychophysiological Stress Status of Soldiers Prior to an Operative Deployment.International journal of environmental research and public health · 2022Article
- The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-Learning.Sports medicine - open · 2022Article
- Investigation of readiness and perceived workload in junior female basketball players during a congested match schedule.Biology of sport · 2021Article
- Applying Heart Rate Variability to Monitor Health and Performance in Tactical Personnel: A Narrative Review.International journal of environmental research and public health · 2021Review
- Effect of Physiotherapy Treatment in the Autonomic Activation and Pain Perception in Male Patients with Non-Specific Subacute Low Back Pain.Journal of clinical medicine · 2021Article
- Daily Resting Heart Rate Variability in Adolescent Swimmers during 11 Weeks of Training.International journal of environmental research and public health · 2020Article
- The Effects of Whole-Body Photobiomodulation Light-Bed Therapy on Creatine Kinase and Salivary Interleukin-6 in a Sample of Trained Males: A Randomized, Crossover Study.Frontiers in sports and active living · 2020Article
- The Current State of Subjective Training Load Monitoring-a Practical Perspective and Call to Action.Sports medicine - open · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A systems modelling approach can be used to describe and optimise responses to training stimuli within individuals. However, the requirement for regular maximal performance testing has precluded the widespread implementation of such modelling approaches in team-sport settings. Heart rate variability (HRV) can be used to measure an athlete's adaptation to training load, without disrupting the training process. As such, the aim of the current study was to assess whether chronic HRV responses, as a representative marker of training adaptation, could be predicted from the training loads undertaken by elite Rugby Sevens players. Eight international male players were followed prospectively throughout an eight-week pre-season period, with HRV and training loads (session-RPE [sRPE] and high-speed distance [HSD]) recorded daily. The Banister model was used to estimate vagally-mediated chronic HRV responses to training loads over the first four weeks (tuning dataset); these estimates were then used to predict chronic HRV responses in the subsequent four-week period (validation dataset). Across the tuning dataset, high correlations were observed between modelled and recorded HRV for both sRPE (r = 0.66 ± 0.32) and HSD measures (r = 0.69 ± 0.12). Across the sRPE validation dataset, seven of the eight athletes met the criterion for validity (typical error <3% and Pearson
Indexed as
Identifiers
30116113PMC6090397W2805279209What OpenQuestion holds
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.