Evidence map›Paper›PMID 40534393›Full record

ArticleEuropean journal of sport science2025

Injury Mechanisms in Mountain Biking: A Systematic Video Analysis of 534 Cases.

S Bonte, C Hartweg, A Thouzé, E Marcaggi, M Dupuis, N Graillon, P-J Arnoux, L Thollon, N Bailly

Abstract read
In one paragraph

Article in European journal of sport science, 2025. 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

9 authors.

S BonteLBA, Université Gustave Eiffel, Aix Marseille University, Marseille, France.ORCID https://orcid.org/0009-0003-5444-1688
C HartwegLBA, Université Gustave Eiffel, Aix Marseille University, Marseille, France.
A ThouzéDecathlon SportsLab, Lille, France.
E MarcaggiGrenoble Alpes University, CHU Grenoble Alpes, Grenoble, France.
M DupuisGrenoble Alpes University, CHU Grenoble Alpes, Grenoble, France.
N GraillonLBA, Université Gustave Eiffel, Aix Marseille University, Marseille, France.
P-J ArnouxLBA, Université Gustave Eiffel, Aix Marseille University, Marseille, France.
L ThollonLBA, Université Gustave Eiffel, Aix Marseille University, Marseille, France.
N BaillyLBA, Université Gustave Eiffel, Aix Marseille University, Marseille, France.

Funding

Association Nationale de la Recherche et de la Technologie 2022/1791Innovation Committee of Decathlon
6 · The paper itself

Abstract

The growing popularity of mountain biking is associated with a rapid rise in injuries. Understanding the main crash scenarios is essential for improving preventive and protective measures. This study aimed to describe crash scenarios, fall kinematics, and injury mechanisms using a large video database of traumatic mountain bike crashes. A qualitative analysis was performed on 534 traumatic crash videos from a mountain biking social network. Data recorded included rider information, terrain description, cause of crashes, crash scenario, rider kinematics upon ground impact and injury. When possible, the rider's speed before the crash was measured. Among the 534 videos analysed, six specific crash scenarios were identified: forward over-the-bars (55.2%), forward on-the-bars (9.2%), sideways ejection (12.2%), sideways sliding (10.9%), collision (9.4%) and backward fall (3.2%). In the main scenario, 'over-the-bars', riders are thrown over the handlebars due to sudden deceleration, often occurring on moderate descents (53.2%) and following poor jump landings (64.4%) at speeds exceeding 30 km/h (75.3%). Tumbles were the most common impact type on the ground (64.7%), with shoulder girdle (39.7%) and upper limbs (35.6%) injuries predominating. An association between impact type on the ground and injury location was found. The mean recorded speed before the crash was 33.7 km/h, which is higher than previously reported MTB speeds. This study is the first to systematically analyse MTB accident videos, providing crucial insights to better understand full crash kinematics and help design effective protective equipment, optimize trail design, and enhance prevention campaigns on MTB slopes.

Indexed as

Athletic InjuriesBicyclingAdultBiomechanical PhenomenaFemaleHumansMaleVideo Recordingcrash scenarioimpact conditionsinjury mechanismsmountain bikingvideo analysis

Identifiers

PMID40534393
PMCPMC12177224

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.