Evidence map›Paper›PMID 40017951›Full record

ArticleBMJ public health2025

Not all quad bikers are the same: unsupervised cluster analysis identifying injury risk groups among quad bike riders in Dubai, UAE.

Preetha Menon, Mohamed El Sadig, Ibrahim Abdalla Alfaki, Ahmed Mohammed, Omar Ahmed Zain Alsakaf, Rashad Gamar, Saeeda Buti Saeed, Michal Grivna

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Preetha MenonInstitute of Public Health, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0001-5999-1249
Mohamed El SadigInstitute of Public Health, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0001-5795-8189
Ibrahim Abdalla AlfakiDepartment of Analytics in the Digital Era, United Arab Emirates University, Al Ain, UAE.
Ahmed MohammedMedical and Technical Affairs Department, Dubai Corporation for Ambulance Services, Dubai, UAE.
Omar Ahmed Zain AlsakafMedical and Technical Affairs Department, Dubai Corporation for Ambulance Services, Dubai, UAE.
Rashad GamarMedical and Technical Affairs Department, Dubai Corporation for Ambulance Services, Dubai, UAE.
Saeeda Buti SaeedMedical and Technical Affairs Department, Dubai Corporation for Ambulance Services, Dubai, UAE.
Michal GrivnaInstitute of Public Health, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0003-2349-0922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Quad bike riders in Dubai (UAE) constitute a highly diverse group with varying driving skills and familiarity with the desert environment. In the absence of evidence on the quad bike riders in the region, we attempted to describe the most vulnerable risk groups using routinely collected injury data. This may hopefully inform the most effective injury prevention strategies for the region. Methods: Four-year injury incident reports of 226 patients rescued by Dubai ambulance were grouped into three clusters using two-step cluster analysis in SPSS. Result: The three clusters that emerged were 'Older Tourist-Expatriates' (n=86), 'Prompt Young Emiratis' (n=76) and 'Tightlipped Young Colliders' (n=60). Older tourists were more likely to ride during the daytime and sustained milder injuries due to rollover. Prompt Young Emirati riders who experienced severe head, neck and spine injuries from nighttime rollovers were more likely to call for an ambulance without delay. Tightlipped Young Colliders were very young riders who experienced quad bike collisions or did not report their crash history. One in five riders in Clusters 1 and 3 delayed calling the ambulance by more than 6 hours. Conclusion: Young nationals with severe injuries due to night collisions and rollovers during winter would benefit from increased guardianship, vehicle modification and crowd control interventions. In addition, emergency first aid services for tourists and nationals should be allocated to the major quad biking desert locations in Dubai to relieve the burden on emergency ambulatory care services.

Indexed as

Accident PreventionPublic HealthSociodemographic Factorsstatistics and numerical data

Identifiers

PMID40017951
PMCPMC11812856

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LicenceCC BY-NC
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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.