Evidence map›Paper›PMID 36850788›Full record

ArticleSensors (Basel, Switzerland)2023

Validity and Reliability of Inertial Measurement System for Linear Movement Velocity in Flywheel Squat Exercise.

Sergio Maroto-Izquierdo, Kazunori Nosaka, Jesús Alarcón-Gómez, Fernando Martín-Rivera

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Sergio Maroto-Izquierdoi+HeALTH, European University Miguel de Cervantes, 47012 Valladolid, Spain.ORCID 0000-0002-6696-5636
Kazunori NosakaSchool of Medical and Health Sciences, Centre for Human Performance, Edith Cowan University, Joondalup, WA 6027, Australia.
Jesús Alarcón-GómezResearch Group in Prevention and Health in Exercise and Sport, University of Valencia, 46010 Valencia, Spain.ORCID 0000-0003-0903-1295
Fernando Martín-RiveraResearch Group in Prevention and Health in Exercise and Sport, University of Valencia, 46010 Valencia, Spain.ORCID 0000-0003-1996-8276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to examine the validity and reliability of an Inertial Measurement System integrated into a secondary pulley (IMS) for determining linear velocity during flywheel squat exercises. Thirty-one male participants who were highly experienced in a flywheel resistance exercise training performed flywheel squat exercises with three incremental loads, and mean velocity (MV), mean propulsive velocity (MPV) and max velocity (Vmax) of the exercises were simultaneously recorded with a validated linear encoder and the IMS, in two different sessions. Validity was analyzed using ordinary least products regression (OLP), Lin's concordance correlation coefficient (CCC), and Hedge's g for the values from the linear encoder and the IMS. Test-retest reliability was determined by coefficient of variation (CV), Intraclass correlation coefficient (ICC), and standard error of measurement (SEM). Results showed a high degree of validity (OLP intercept = -0.09-0.00, OLP slope = 0.95-1.04, CCC = 0.96-0.99, Hedge's g < 0.192, SEM = 0.04-0.08) and reliability (CV < 0.21%, ICC > 0.88, SEM < 0.08). These results confirm that the IMS provides valid and reliable measures of movement velocity during flywheel squat exercises.

Indexed as

PostureResistance TrainingExerciseExercise TherapyHumansMaleReproducibility of Resultsencoderisoinertialreliabilityvalidityvelocity-based training

Identifiers

PMID36850788
PMCPMC9958668

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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.