ArticleEuropean journal of applied physiology2014
The interplay between arms-only propelling efficiency, power output and speed in master swimmers.
Article in European journal of applied physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Are Dry-Land Force-Velocity Abilities Related to In-Water Load-Velocity Profiles in Sprint Swimming?European journal of sport science · 2026Article
- Froude Efficiency and Velocity Fluctuation in Forearm-Amputee Front Crawl: Implications for Para Swimming Classification.Medicine and science in sports and exercise · 2023Article
- Sprint Performance in Arms-Only Front Crawl Swimming Is Strongly Associated With the Power-To-Drag Ratio.Frontiers in sports and active living · 2022Article
- Applicability of Maximal Ergometer Testing and Sprint Performance in Adolescent Endurance and Sprint Trained Swimmers.Sports (Basel, Switzerland) · 2021Article
- The energy cost of swimming and its determinants.European journal of applied physiology · 2020Review
- A Biophysical Analysis on the Arm Stroke Efficiency in Front Crawl Swimming: Comparing Methods and Determining the Main Performance Predictors.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo explore the interplay between arms-only propelling efficiency (η(p)), mechanical power output (W(tot)) and swimming speed (V); these three parameters are indeed related through the following equation V(3) = 1/kη(p)W(tot) (where k is the speed-specific drag; k = F/V(2)); thus, the larger are η(p) and W(tot) the larger is V. We furthermore wanted to test the hypothesis that a multiple linear regression between W(tot), η(p) and V would have a stronger correlation coefficient than a linear regression between W(tot) and V alone.
methodsTo this aim we recruited 29 master swimmers (21 M/8F) who were asked to perform (1) an incremental protocol at the arm-ergometer (dry-land test) to determine W(tot) at VO(2max) (e.g. V(max)); (2) a maximal 200 m swim trial (with a pull buoy: arms only) during which V and η(p) were determined.
resultsNo relationship was found between W(max) and η(p) (not necessarily the swimmers with the largest W(max) are those with the largest η(p) and vice versa) whereas significant correlations were found between W(max) and V (R = 0.419, P = 0.024) and η(p) and V (R = 0.741, P = 0.001); a multiple linear regression indicates that about 75% of the variability of V can be explained by the variability of W(max) and η(p) (R = 0.865, P < 0.001).
conclusionsThese findings indicate that η(p) should be taken into consideration when the relationship between W(max) and V is investigated and that this allows to better explain the inter-subject variability in performance (swimming speed).
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