Evidence map›Paper›PMID 40293632›Full record

ArticleAnnals of biomedical engineering2025

Equestrian STAR: Development of an Experimental Methodology for Assessing the Biomechanical Performance of Equestrian Helmets.

Lauren A Duma, Mark T Begonia, Barry Miller, Caitlyn Jung, Matthew Wood, Brock G Duma, Steve Rowson

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 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

7 authors.

Lauren A DumaVirginia Tech Helmet Lab, Blacksburg, VA, 24061, USA. laurenduma@vt.edu.ORCID http://orcid.org/0000-0003-3626-035X
Mark T BegoniaVirginia Tech Helmet Lab, Blacksburg, VA, 24061, USA.ORCID http://orcid.org/0000-0003-4361-2704
Barry MillerVirginia Tech Helmet Lab, Blacksburg, VA, 24061, USA.
Caitlyn JungVirginia Tech Helmet Lab, Blacksburg, VA, 24061, USA.ORCID http://orcid.org/0009-0009-3341-8837
Matthew WoodVirginia Tech Helmet Lab, Blacksburg, VA, 24061, USA.
Brock G DumaVirginia Tech Helmet Lab, Blacksburg, VA, 24061, USA.ORCID http://orcid.org/0000-0001-7971-3705
Steve RowsonVirginia Tech Helmet Lab, Blacksburg, VA, 24061, USA.ORCID http://orcid.org/0000-0002-3227-0596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe current equestrian helmet standards set minimal requirements for passing helmets, highlighting the need for a rating system that differentiates helmets based on their impact performance. This study's objectives were to compare equestrian helmet impact response kinematics between linear-driven and oblique impact conditions and then to evaluate the effect of incorporating oblique drop tests into a previously established equestrian helmet rating system, Equestrian STAR.

methodsOblique drop tests were conducted with 45 equestrian helmet models at two impact locations, front boss and rear boss, at an impact velocity of 6.56 m/s. The resulting peak linear and rotational head accelerations were compared to those measured during linear-driven pendulum impacts on the same helmet models. A total of 720 impact tests were performed, making this the largest published study on equestrian helmets to date. Equestrian STAR was modified to include both pendulum and oblique impacts by computing and summing weighted concussion risks for each test condition.

resultsOblique impacts had peak linear accelerations ranging from 105.8 to 204.5 g and peak rotational accelerations ranging from 3304 to 13854 rad/s

conclusionPendulum and oblique impacts have different methods of generating head rotation, which can highlight different modes of helmet performance. The updated Equestrian STAR helmet rating system differentiates between high-performing and low-performing helmets, enabling equestrians to purchase helmets best at reducing concussion risk and providing companies with a process to compare their helmet designs.

Indexed as

Head Protective DevicesSports EquipmentAccelerationAnimalsBiomechanical PhenomenaHorsesHumansConcussionEquestrianFallHelmetInjuryRating

Identifiers

PMID40293632
PMCPMC12391214

What OpenQuestion holds

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Registered trials

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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.