ArticleFrontiers in sports and active living2023
Associations between load-velocity profiling and race parameters of elite swimmers in the 100 and 200m freestyle events.
Article in Frontiers in sports and active living, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- From acute responses to long-term monitoring: a scoping review of the reliability and validity of biomechanical and physiological assessment tools in elite and highly trained swimmers.BMC sports science, medicine & rehabilitation · 2026Pooled it
- The methodology of resistance training is crucial for improving short-medium distance front crawl performance in competitive swimmers: a systematic review and meta-analysis.Frontiers in physiology · 2024Pooled it
- Are Dry-Land Force-Velocity Abilities Related to In-Water Load-Velocity Profiles in Sprint Swimming?European journal of sport science · 2026Article
- Distinctive Regulation Profiles of Stroke Mechanics Underlie Pacing and Discriminate 400 m Front-Crawl Performance.Journal of sports science & medicine · 2025Article
- Longitudinal monitoring of load-velocity variables in preferred-stroke and front-crawl with national and international swimmers.Frontiers in sports and active living · 2025Article
- Stroke rate-stroke length dynamics in elite freestyle swimming: application of kernel density estimation.Frontiers in sports and active living · 2025Article
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5 authors.
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Abstract
Introduction: Improving swimming performance involves assessments of biomechanical variables of the stroke, and it can be achieved using semi-tethered swimming tests. The aim of this study was thus to investigate the associations between load-velocity (L-V) profiles, from a semi-tethered swimming protocol and race variables in the 100 m and 200 m freestyle events. Methods: Eight swimmers completed a L-V profiling protocol consisting of four sprints (25 m, 25 m, 20 m, 15 m) against increasing loads (0.1, 2.0, 4.0, 6.0 kg respectively) with complete recovery between repetitions (>5 min). The L-V linear regression was used to estimate maximal velocity (V0) and body mass normalized load (rL0). Race variables such as clean swimming speed (V), stroke rate (SR), distance per cycle (SL) and stroke index (SI) were assessed from video analysis of 100 m and 200 m freestyle events taking place 3-4 days after the L-V protocol. Results: L-V results showed high levels of speed (mean ± SD: 1.87 ± 0.04 m/s) and heavy maximal relative loads (mean ± SD: 38.5 ± 6.51 as % of body mass). Swimmers also achieved high-level performances in the 100 m (mean ± SD time: 51.95 ± 0.75 s) and the 200 m (mean ± SD time: 113.85 ± 2.67 s). For the 100 m events, the maximal relative load showed strong correlation with performance ( Conclusion: The relationships between L-V variables and race variables depend on the distance of the event. However, L-V variables seem to be less related to SR and SL evolutions for the 100 m than in the 200 m event. Moreover, L-V profiles tend to be more related to the 100 m than 200 m freestyle performance. L-V profile should be interpreted taking into consideration the specific physiological and biomechanical constraints of the main events of the swimmer.
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