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

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 su

SUBMITTER: Menon P 

PROVIDER: S-EPMC11812856 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature