ArticleJournal of sports science & medicine2012
Effects of distance specialization on the backstroke swimming kinematics.
Article in Journal of sports science & medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Biomechanical, Physiological and Anthropometric Determinants of Backstroke Swimming Performance: A Systematic Review.Sports medicine - open · 2025Pooled it
- Analysis of the fastest backstroke age group swimmers competing in the World Masters Championships 1986-2024.Scientific reports · 2024Article
- Velocity Variability and Performance in Backstroke in Elite and Good-Level Swimmers.International journal of environmental research and public health · 2022Article
- Integrated Timing of Stroking, Breathing, and Kicking in Front-Crawl Swimming: A Novel Stroke-by-Stroke Approach Using Wearable Inertial Sensors.Sensors (Basel, Switzerland) · 2022Article
- Reliability of Measuring Leg Segments and Joint Angles Using Smartphones during Aquatic Exercise.Healthcare informatics research · 2022Article
- Arm-Stroke Descriptor Variability during 200-m Front Crawl Swimming.Sensors (Basel, Switzerland) · 2021Article
- Inertial Sensors in Swimming: Detection of Stroke Phases through 3D Wrist Trajectory.Journal of sports science & medicine · 2019Article
- The Use of IMMUs in a Water Environment: Instrument Validation and Application of 3D Multi-Body Kinematic Analysis in Medicine and Sport.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of the present study was to investigate different biomechanical variables of backstroke technique in swimmers specialized in different distance events, in order to investigate the capacity to modify the timing of the arm stroke when changing the swimming velocity from sub-maximal to maximal. Two 25-m backstroke trials respectively at 70% of maximum velocity (V70) and at 100% of maximum velocity (Vmax) were performed by 9 200-m distance swimmers and 9 50-m distance swimmers. Swimming velocity, stroke length, stroke rate, duration of different phases of the arm stroke and selected kinematic variables were assessed in both cases. In the 50-m distance swimmers, the duration of the propulsive phase at Vmax, expressed as a percentage of the duration of the total underwater arm stroke, increased significantly (p = 0.001) with increasing swimming velocity. Specifically, both the pull and push phases were fundamental in the increase of duration of the propulsive phase. When compared to 200-m specialists, 50-m distance swimmers seem to be more able to modify their arm stroke phases duration when increasing the swimming velocity in backstroke. Key pointsThe 50-m DS are able to find an optimal timing among the stroke phases increasing the duration of the propulsive phase.The 50-m DS, when increasing the swimming velocity, show a more efficient relationship between propulsive and non propulsive phases with respect to the 200-m DS.Both pull and push phases are key factors for increasing the duration of the propulsive phase for the 50-m DS.
Indexed as
Identifiers
24149363PMC3737928What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.