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Dataset for "Prevalence, Burden and Risk Markers of Health Problems in HYROX Athletes: A 12-Week Prospective Cohort Study"

  • Sean Williams (Creator)
  • Emilia Chittenden (Data Collector)
  • Amy Bell (Data Collector)
  • Georgina Forbes (Data Collector)
  • Phoebe Tooth (Data Collector)
  • Ruby Porter (Data Collector)
  • Rosie Van Der Vliet (Data Collector)
  • Kareem Shouman (Data Collector)

Dataset

Description

This dataset comprises weekly health-problem surveillance data from 89 HYROX athletes, collected prospectively over a 12-week period (December 2025 to March 2026). HYROX is a standardised fitness competition combining running intervals with functional fitness stations. The subject of the data is the occurrence, type, severity, anatomical location and training impact of injuries and illnesses in this population, together with each participant's training and competition exposure.

Health problems were recorded weekly using the Oslo Sports Trauma Research Center Questionnaire on Health Problems (OSTRC-H2), a validated self-report instrument that captures both time-loss and non-time-loss complaints. The dataset contains: participant-level baseline data (age band, sex, HYROX training experience, previous time-loss injury history, and competition history); weekly exposure hours disaggregated by activity (running, resistance training, HYROX-specific conditioning, prehabilitation, and competition); and 663 weekly surveillance records carrying the four OSTRC-H2 item responses, a derived severity score (0–100), problem classification (acute injury, overuse injury, or illness), the activity to which each problem was attributed, injured body region, injury mechanism, onset type, days of training lost, and substantial- and time-loss-problem flags.

Data are supplied as a Microsoft Excel workbook with separate participant-level, weekly, and variable-dictionary sheets. All records are anonymised and identified only by an arbitrary participant code. Age is provided in bands rather than exact values.

The dataset suits secondary analyses of injury and illness epidemiology in mixed-modality endurance-strength training, OSTRC-H2-based prevalence and burden work, and comparison with surveillance data from running, CrossFit, and other high-intensity functional training populations. It is cross-sectional in breadth but longitudinal in structure, supporting both prevalence and incidence approaches. Reuse limits worth noting: the sample is a single self-selected cohort weighted toward UK-based athletes, exposure and health data are self-reported, the 12-week window constrains analysis of long-developing conditions, and four participants have no recorded sex.
Date made available26 Aug 2026
PublisherUniversity of Bath

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