The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.
Training Load and Fatigue Marker Associations with Injury and Illness: A Systematic Review of Longitudinal Studies
Open accessAbstract
BACKGROUND: Coaches, sport scientists, clinicians and medical personnel face a constant challenge to prescribe sufficient training load to produce training adaption while minimising fatigue, performance inhibition and risk of injury/illness. OBJECTIVE: The aim of this review was to investigate the relationship between injury and illness and longitudinal training load and fatigue markers in sporting populations. METHODS: Systematic searches of the Web of Science and PubMed online databases to August 2015 were conducted for articles reporting relationships between training load/fatigue measures and injury/illness in athlete populations. RESULTS: From the initial 5943 articles identified, 2863 duplicates were removed, followed by a further 2833 articles from title and abstract selection. Manual searching of the reference lists of the remaining 247 articles, together with use of the Google Scholar 'cited by' tool, yielded 205 extra articles deemed worthy of assessment. Sixty-eight studies were subsequently selected for inclusion in this study, of which 45 investigated injury only, 17 investigated illness only, and 6 investigated both injury and illness. This systematic review highlighted a number of key findings, including disparity within the literature regarding the use of various terminologies such as training load, fatigue, injury and illness. Athletes are at an increased risk of injury/illness at key stages in their training and competition, including periods of training load intensification and periods of accumulated training loads. CONCLUSIONS: Further investigation of individual athlete characteristics is required due to their impact on internal training load and, therefore, susceptibility to injury/illness.
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Cited by
Maximizing Cellular Adaptation to Endurance Exercise in Skeletal Muscle
Hawley, J. A., Lundby, C., Cotter, J. D., & Burke, L. M. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.04.014 · Cited by 182
Zhang, X., Feng, S., Peng, R., & Li, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19159252 · Cited by 42
Metadata
- Authors
- Jones, C. M., Griffiths, P. C., & Mellalieu, S. D.
- Venue
- Sports Medicine
- Published
- 2016-09-28
- Volume
- 47
- Issue
- 5
- Pages
- 943-974
- ISSN
- 0112-1642 (ISSN-L)
- 1179-2035
- OpenAlex
- W2524762463
- Cited by
- 389
- References
- 138
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.