The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The anticipatory regulation of performance: the physiological basis for pacing strategies and the development of a perception-based model for exercise performance
Open accessAbstract
During self-paced exercise, the exercise work rate is regulated by the brain based on the integration of numerous signals from various physiological systems. It has been proposed that the brain regulates the degree of muscle activation and thus exercise intensity specifically to prevent harmful physiological disturbances. It is presently proposed how the rating of perceived exertion (RPE) is generated as a result of the numerous afferent signals during exercise and serves as a mediator of any subsequent alterations in skeletal muscle activation levels and exercise intensity. A conceptual model for how the RPE mediates feedforward, anticipatory regulation of exercise performance is proposed, and this model is applied to previously described research studies of exercise in various conditions, including heat, hypoxia and reduced energy substrate availability. Finally, the application of this model to recent novel studies that altered pacing strategies and performance is described utilising an RPE clamp design, central nervous system drugs and the provision of inaccurate duration or distance feedback to exercising athletes.
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Citations
Cites
Not what, but how one feels: the measurement of affect during exercise
Hardy, C. J., & Rejeski, W. J. (1989) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.11.3.304 · Cited by 1,607
Cited by
Human behavioral thermoregulation during exercise in the heat
Flouris, A. D., & Schlader, Z. J. (2015) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/sms.12349 · Cited by 249
Thinking and Action: A Cognitive Perspective on Self-Regulation during Endurance Performance
Brick, N. E., MacIntyre, T. E., & Campbell, M. J. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2016.00159 · Cited by 131
“…as a key modulator of exercise intensity (e.g., de Koning et al., 2011; Eston, 2012; Smits et al., 2014) and is central to prominent models of self-paced endurance performance such as the psychobiological model (e.g., Marcora, 2010; Pageaux, 2014), and the perception-based model (Tucker, 2009).”
BackgroundAn interoceptive illusion of effort induced by false heart-rate feedback
Iodice, P., Porciello, G., Bufalari, I., Barca, L., & Pezzulo, G. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821032116 · Cited by 100
Paulus, M. P., Flagan, T., Simmons, A. N., Gillis, K., Kotturi, S., Thom, N., Johnson, D. C., Van Orden, K. F., Davenport, P. W., & Swain, J. L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029394 · Cited by 100
“Recently this model has been extended by Tucker and colleagues [11] based on prior formulations by Hampson [12].”
BackgroundMethodThe Positive Consequences of Pain: A Biopsychosocial Approach
Bastian, B., Jetten, J., Hornsey, M. J., & Leknes, S. (2014) · Personality and Social Psychology Review · doi:10.1177/1088868314527831 · Cited by 91
Metadata
- Authors
- Tucker, R.
- Venue
- British Journal of Sports Medicine
- Publisher
- BMJ
- Published
- 2009-02-17
- Volume
- 43
- Issue
- 6
- Pages
- 392-400
- ISSN
- 0306-3674 (ISSN-L)
- 1473-0480
- OpenAlex
- W2135094302
- Cited by
- 542
- References
- 1
- FWCI
- 60.63
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
