Evidence map›Paper›PMID 39350265›Full record

ArticleBMC sports science, medicine & rehabilitation2024

Assessing inter- and intra-rater reliability of movement scores and the effects of body-shape using a custom visualisation tool: an exploratory study.

Gwyneth B Ross, Xiong Zhao, Nikolaus F Troje, Steven L Fischer, Ryan B Graham

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Gwyneth B RossSchool of Human Kinetics, Faculty of Health Sciences, University of Ottawa, 200 Lees Avenue, Ottawa, ON, K1N 6N5, Canada.
Xiong ZhaoSchool of Human Kinetics, Faculty of Health Sciences, University of Ottawa, 200 Lees Avenue, Ottawa, ON, K1N 6N5, Canada.
Nikolaus F TrojeCentre of Vision Research & Department of Biology, York University, Toronto, ON, M3J 1P3, Canada.
Steven L FischerDepartment of Kinesiology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Ryan B GrahamSchool of Human Kinetics, Faculty of Health Sciences, University of Ottawa, 200 Lees Avenue, Ottawa, ON, K1N 6N5, Canada. rgraham@uottawa.ca.

Funding

China Scholarship Council 202007970003Natural Sciences and Engineering Research Council of Canada PGSD3 - 504132 - 2017Natural Sciences and Engineering Research Council of Canada RGPIN-2020-04748
6 · The paper itself

Abstract

backgroundThe literature shows conflicting results regarding inter- and intra-rater reliability, even for the same movement screen. The purpose of this study was to assess inter- and intra-rater reliability of movement scores within and between sessions of expert assessors and the effects of body-shape on reliability during a movement screen using a custom online visualisation software.

methodsKinematic data from 542 athletes performing seven movement tasks were used to create animations (i.e., avatar representations) using motion and shape capture from sparse markers (MoSh). For each task, assessors viewed a total of 90 animations. Using a custom developed visualisation tool, expert assessors completed two identical sessions where they rated each animation on a scale of 1-10. The arithmetic mean of weighted Cohen's kappa for each task and day were calculated to test reliability.

resultsAcross tasks, inter-rater reliability ranged from slight to fair agreement and intra-rater reliability had slightly better reliability with slight to moderate agreement. When looking at the average kappa values, intra-rater reliability within session with and without body manipulation and between sessions were 0.45, 0.37, and 0.35, respectively.

conclusionsBased on these results, supplementary or alternative methods should be explored and are likely required to increase scoring objectivity and reliability even within expert assessors. To help future research and practitioners, the custom visualisation software has been made available to the public.

Indexed as

Bodyweight biasCohen’s kappaMotion and shape capture from sparse markers (MoSh)Movement screens

Identifiers

PMID39350265
PMCPMC11441252

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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.