The DOI matches its Crossref record.
Preventing overtraining in athletes in high‐intensity sports and stress/recovery monitoring
Abstract
In sports, the importance of optimizing the recovery–stress state is critical. Effective recovery from intense training loads often faced by elite athletes can often determine sporting success or failure. In recent decades, athletes, coaches, and sport scientists have been keen to find creative, new methods for improving the quality and quantity of training for athletes. These efforts have consistently faced barriers, including overtraining, fatigue, injury, illness, and burnout. Physiological and psychological limits dictate a need for research that addresses the avoidance of overtraining, maximizes recovery, and successfully negotiates the fine line between high and excessive training loads. Monitoring instruments like the Recovery–Stress Questionnaire for Athletes can assist with this research by providing a tool to assess their perceived state of recovery. This article will highlight the importance of recovery for elite athletes and provide an overview of monitoring instruments.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Mental health in elite athletes: International Olympic Committee consensus statement (2019)
Reardon, C. L., Hainline, B., Aron, C. M., Baron, D., Baum, A. L., Bindra, A., Budgett, R., Campriani, N., Castaldelli-Maia, J. M., Currie, A., et al. (2019) · British Journal of Sports Medicine · doi:10.1136/bjsports-2019-100715 · Cited by 1,277
Schwellnus, M., Soligard, T., Alonso, J.-M., Bahr, R., Clarsen, B., Dijkstra, H. P., Gabbett, T. J., Gleeson, M., Hägglund, M., Hutchinson, M. R., et al. (2016) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-096572 · Cited by 836
Monitoring Fatigue Status in Elite Team-Sport Athletes: Implications for Practice
Thorpe, R. T., Atkinson, G., Drust, B., & Gregson, W. (2017) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2016-0434 · Cited by 328
Fullagar, H. H. K., Duffield, R., Skorski, S., Coutts, A. J., Julian, R., & Meyer, T. (2015) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2014-0565 · Cited by 227
Naderi, A., Rothschild, J. A., Santos, H. O., Hamidvand, A., Koozehchian, M. S., Ghazzagh, A., Berjisian, E., & Podlogar, T. (2025) · Sports Medicine · doi:10.1007/s40279-025-02213-6 · Cited by 77
Relaxation techniques in sports: A systematic review on acute effects on performance
Pelka, M., Heidari, J., Ferrauti, A., Meyer, T., Pfeiffer, M., & Kellmann, M. (2016) · Performance Enhancement & Health · doi:10.1016/j.peh.2016.05.003 · Cited by 42
Self-citation
Metadata
- Authors
- Kellmann, M.
- Venue
- Scandinavian Journal of Medicine & Science in Sports
- Publisher
- Wiley
- Published
- 2010-09-14
- Volume
- 20
- Issue
- s2
- Pages
- 95-102
- ISSN
- 0905-7188 (ISSN-L)
- 1600-0838
- OpenAlex
- W1639382815
- Cited by
- 588
- References
- 0
- FWCI
- 10.64
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.