Evidence map›Paper›PMID 40410218›Full record

ArticleScientific data2025

A lower-back focused motion capture and electromyography dataset of Australian sheep shearers at work.

Mark Robinson, Tomislav Baček, Ying Tan, Denny Oetomo, Chris Manzie

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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.

Mark RobinsonThe University of Melbourne, Department of Mechanical Engineering, Melbourne, 3010, Australia.
Tomislav BačekThe University of Melbourne, Department of Mechanical Engineering, Melbourne, 3010, Australia. tomislav.bacek@unimelb.edu.au.ORCID http://orcid.org/0000-0001-9875-6997
Ying TanThe University of Melbourne, Department of Mechanical Engineering, Melbourne, 3010, Australia.
Denny OetomoThe University of Melbourne, Department of Mechanical Engineering, Melbourne, 3010, Australia.
Chris ManzieThe University of Melbourne, Department of Electrical and Electronic Engineering, Melbourne, 3010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower back pain, the predominant cause of years lived with disability, is widespread among various occupations characterised by prolonged and repetitive movements, including healthcare, agriculture, and construction. Despite this prevalence, evidence on the time-dependent changes in muscular function and corresponding motor control systems that contribute to pain remains limited, largely due to the lack of experimental data collected in real-world environments over extended periods. This paper addresses this gap by introducing an open dataset from an intensely physical and repetitive activity-sheep shearing-collected from eleven shearers in Australia. Data on participants' movement, muscle activity, and self-reported fatigue were recorded in their natural work environment throughout an entire day, divided into four 2-hour sessions. The dataset encompasses a wide range of experiences, including shearers with prior back injuries and those using back support harnesses. This unique dataset enables the exploration of time-dependent factors in pain-inducing repetitive movements, providing insights applicable to similar occupational activities where task demands can lead to chronic pain and injuries.

Indexed as

Low Back PainAdultAnimalsAustraliaElectromyographyHumansMotion CaptureMovement

Identifiers

PMID40410218
PMCPMC12102280

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.