Evidence map›Paper›PMID 39628942›Full record

ArticleFrontiers in physiology2024

K2 crew performance: a preliminary investigation of kinetic parameters in preferred and inverted positions among sub-elite kayakers.

Cristian Romagnoli, Saeid Edriss, Lucio Caprioli, Luca Ghelardini, Ida Cariati, Anas Alashram, Nunzio Lanotte, Paolo Boatto, Elvira Padua, Vincenzo Bonaiuto and 1 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Cristian RomagnoliDepartment of Human Science and Promotion of Quality of Life, San Raffaele Open University, Rome, Italy.
Saeid EdrissSports Engineering Laboratory, Department of Industrial Engineering, University of Rome Tor Vergata, Rome, Italy.
Lucio CaprioliSports Engineering Laboratory, Department of Industrial Engineering, University of Rome Tor Vergata, Rome, Italy.
Luca GhelardiniCoach of Italian Canoe/Kayak Federation (FICK), Rome, Italy.
Ida CariatiDepartment of Medicine Systems, University of Rome Tor Vergata, Rome, Italy.
Anas AlashramDepartment of Physiotherapy, Faculty of Allied Medical Science, Middle East University, Amman, Jordan.
Nunzio LanotteAPLAB, Roma, Italy.
Paolo BoattoAPLAB, Roma, Italy.
Elvira PaduaDepartment of Human Science and Promotion of Quality of Life, San Raffaele Open University, Rome, Italy.
Vincenzo BonaiutoSports Engineering Laboratory, Department of Industrial Engineering, University of Rome Tor Vergata, Rome, Italy.
Giuseppe AnninoSports Engineering Laboratory, Department of Industrial Engineering, University of Rome Tor Vergata, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

K2 performance depends on different kinematic and kinetic variables. Due to the lack of related studies in this area, we have tried to explain these features to better understand the best positioning of paddlers and how their synchronization affects performance. This study uses the DAQ system comprising two instrumented paddles-an IMU and a GPS ("E-kayak" system)-to investigate paddle synchronization and the specific positioning of paddlers' in preferred and inverted configurations. In this study, 10 sub-elite paddlers participated, divided into five crews. The test included two trials of 500 m performed in preferred and inverted seating positions. The synchronization analysis highlighted that the rear paddler contributed efficiently to the propulsion of the boat while performing 30-40 ms earlier than the front paddler during the entry and exit phases. Despite the time results for 500 m, there is no evidence indicating a dominant indication of the preferred or inverted position among the athletes. The results show a significant correlation (p < 0.05) between the force of the front paddler (r = -0.88), the stroke frequency of the crew (r = -0.66), and the total force applied by the crew with the time for 500 m and between stroke frequency and the force of the front paddler (r = 0.64). Based on these indications, for only those crews who completed the 500 m test in the shortest time, the equation determining the time over 500 m was calculated using multiple regression analysis, considering the stroke frequency and the force of the front and rear paddler. The data showed a good estimation with CV% = 0.22, ICC = 0.99, and ES = -0.005. In conclusion, these findings can serve as a beneficial tool for assessing or monitoring K2 crew performance in sub-elite paddlers.

Indexed as

crewE-kayak systemflatwater kayakpaddlingperformance analysiswater sports

Identifiers

PMID39628942
PMCPMC11611838

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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.