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Translating Fatigue to Human Performance
Open accessAbstract
Despite flourishing interest in the topic of fatigue-as indicated by the many presentations on fatigue at the 2015 Annual Meeting of the American College of Sports Medicine-surprisingly little is known about its effect on human performance. There are two main reasons for this dilemma: 1) the inability of current terminology to accommodate the scope of the conditions ascribed to fatigue, and 2) a paucity of validated experimental models. In contrast to current practice, a case is made for a unified definition of fatigue to facilitate its management in health and disease. On the basis of the classic two-domain concept of Mosso, fatigue is defined as a disabling symptom in which physical and cognitive function is limited by interactions between performance fatigability and perceived fatigability. As a symptom, fatigue can only be measured by self-report, quantified as either a trait characteristic or a state variable. One consequence of such a definition is that the word fatigue should not be preceded by an adjective (e.g., central, mental, muscle, peripheral, and supraspinal) to suggest the locus of the changes responsible for an observed level of fatigue. Rather, mechanistic studies should be performed with validated experimental models to identify the changes responsible for the reported fatigue. As indicated by three examples (walking endurance in old adults, time trials by endurance athletes, and fatigue in persons with multiple sclerosis) discussed in the review, however, it has proven challenging to develop valid experimental models of fatigue. The proposed framework provides a foundation to address the many gaps in knowledge of how laboratory measures of fatigue and fatigability affect real-world performance.
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Metadata
- Authors
- ENOKA, R. M., & DUCHATEAU, J.
- Affiliations
- Université Libre de Bruxelles (BE)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2016-11
- Volume
- 48
- Issue
- 11
- Pages
- 2228-2238
- ISSN
- 0195-9131 (ISSN-L)
- PMC
- PMC5035715
- OpenAlex
- W2312572125
- Cited by
- 948
- References
- 76
- Citations by year
- 2026: 144 · 2025: 114 · 2024: 111 · 2023: 102 · 2022: 135 · 2021: 111 · 2020: 76 · 2019: 54 · 2018: 51 · 2017: 32 · 2016: 15
- FWCI
- 8.05
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- Funders
- National Institutes of Health
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R03HD079508)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Keywords
- fatigue, human performance, performance fatigability, perceived fatigability, endurance athletes, multiple sclerosis, fatigue management
- MeSH terms
- Aging, Fatigue, Humans, Multiple Sclerosis, Terminology as Topic, Perception, Physical Endurance, Sports, Walking, Muscle Fatigue
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.
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