dc.contributor.author | Hunter, Ben | |
dc.contributor.author | Meyler, Samuel | |
dc.contributor.author | Maunder, Ed | |
dc.contributor.author | Cox, Tobias H | |
dc.contributor.author | Muniz, Daniel | |
dc.date.accessioned | 2024-09-18T08:00:03Z | |
dc.date.available | 2024-09-18T08:00:03Z | |
dc.date.issued | 2024-07-24 | |
dc.identifier.citation | Hunter , B , Meyler , S , Maunder , E , Cox , T H & Muniz , D 2024 , ' The Relationship Between the Moderate–Heavy Boundary and Critical Speed in Running ' , International Journal of Sports Physiology and Performance (IJSPP) , vol. 19 , no. 9 , pp. 963-972 . https://doi.org/10.1123/ijspp.2024-0101 | |
dc.identifier.issn | 1555-0265 | |
dc.identifier.uri | http://hdl.handle.net/2299/28184 | |
dc.description | © 2024 Human Kinetics, Inc. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1123/ijspp.2024-0101 | |
dc.description.abstract | Purpose: Training characteristics such as duration, frequency, and intensity can be manipulated to optimize endurance performance, with an enduring interest in the role of training-intensity distribution to enhance training adaptations. Training intensity is typically separated into 3 zones, which align with the moderate-, heavy-, and severe-intensity domains. While estimates of the heavy- and severe-intensity boundary, that is, the critical speed (CS), can be derived from habitual training, determining the moderate–heavy boundary or first threshold (T1) requires testing, which can be costly and time-consuming. Therefore, the aim of this review was to examine the percentage at which T1 occurs relative to CS. Results: A systematic literature search yielded 26 studies with 527 participants, grouped by mean CS into low (11.5 km·h −1; 95% CI, 11.2–11.8), medium (13.4 km·h −1; 95% CI, 11.2–11.8), and high (16.0 km·h −1; 95% CI, 15.7–16.3) groups. Across all studies, T1 occurred at 82.3% of CS (95% CI, 81.1–83.6). In the medium- and high-CS groups, T1 occurred at a higher fraction of CS (83.2% CS, 95% CI, 81.3–85.1, and 84.2% CS, 95% CI, 82.3–86.1, respectively) relative to the low-CS group (80.6% CS, 95% CI, 78.0–83.2). Conclusions: The study highlights some uncertainty in the fraction of T1 relative to CS, influenced by inconsistent approaches in determining both boundaries. However, our findings serve as a foundation for remote analysis and prescription of exercise intensity, although testing is recommended for more precise applications. | en |
dc.format.extent | 10 | |
dc.format.extent | 884264 | |
dc.language.iso | eng | |
dc.relation.ispartof | International Journal of Sports Physiology and Performance (IJSPP) | |
dc.subject | endurance training | |
dc.subject | exercise prescription | |
dc.subject | intensity domains | |
dc.subject | monitoring | |
dc.subject | testing | |
dc.subject | Physical Therapy, Sports Therapy and Rehabilitation | |
dc.subject | Orthopedics and Sports Medicine | |
dc.title | The Relationship Between the Moderate–Heavy Boundary and Critical Speed in Running | en |
dc.contributor.institution | Centre for Research in Psychology and Sports | |
dc.contributor.institution | Department of Psychology, Sport and Geography | |
dc.contributor.institution | School of Life and Medical Sciences | |
dc.contributor.institution | High Performance Sport Research Group | |
dc.contributor.institution | Exercise, Health and Wellbeing Research Group | |
dc.description.status | Peer reviewed | |
dc.date.embargoedUntil | 2024-07-24 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85201259938&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1123/ijspp.2024-0101 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |