Evidence map›Paper›PMID 38544125›Full record

ArticleSensors (Basel, Switzerland)2024

An Ergonomics Analysis of Archers through Motion Tracking to Prevent Injuries and Improve Performance.

Xiaoxu Ji, Jenna Miller, Xin Gao, Zainab Al Tamimi, Irati Arzalluz, Davide Piovesan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Xiaoxu JiBiomedical Engineering, Gannon University, Erie, PA 16541, USA.
Jenna MillerBiomedical Engineering, Gannon University, Erie, PA 16541, USA.
Xin GaoElectrical and Computer Engineering, Gannon University, Erie, PA 16541, USA.
Zainab Al TamimiBiomedical Engineering, Gannon University, Erie, PA 16541, USA.
Irati ArzalluzBiomedical Engineering, Gannon University, Erie, PA 16541, USA.
Davide PiovesanBiomedical Engineering, Gannon University, Erie, PA 16541, USA.ORCID 0000-0002-9258-8985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Archery ranks among the sports with a high incidence of upper extremity injuries, particularly affecting the drawing shoulder and elbow, as well as inducing stress on the lower back. This study seeks to bridge the gap by integrating real-time human motion with biomechanical software to enhance the ergonomics of archers. Thirteen participants were involved in four tasks, using different bows with varied draw weights and shooting distances. Through the application of advanced integrative technology, this study highlights the distinct postures adopted by both males and females, which indicate the biomechanical differences between genders. Additionally, an analysis of the correlation between exposed spinal forces and these adopted postures provides insights into injury risk assessment during the key archery movements. The findings of this study have the potential to significantly enhance the application of training methodologies and the design of assistive devices. These improvements are geared towards mitigating injury risks and enhancing the overall performance of archers.

Indexed as

Muscle, SkeletalSportsErgonomicsFemaleHumansMaleMovementShoulderUpper ExtremityarcheryergonomicsinjuryJACK Siemenslower backmotion trackingXsens

Identifiers

PMID38544125
PMCPMC10974659

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.