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Risk factors associated with medical encounters in ultramarathon race starters - Data from 103,131 race starters over 90 km: SAFER XLI.
Sewry, Nicola; Boulter, Jeremy; Seocharan, Ishen; Dyer, Marlise; Jordaan, Esme; Schwellnus, Martin.
Affiliation
  • Sewry N; Sport, Exercise Medicine and Lifestyle Institute (SEMLI), Faculty of Health Sciences, University of Pretoria, South Africa; International Olympic Committee (IOC) Research Centre, South Africa. Electronic address: nicola.sewry@up.ac.za.
  • Boulter J; Comrades Marathon, South Africa.
  • Seocharan I; Biostatistics Research Unit, South African Medical Research Council, South Africa.
  • Dyer M; Sport, Exercise Medicine and Lifestyle Institute (SEMLI), Faculty of Health Sciences, University of Pretoria, South Africa.
  • Jordaan E; Biostatistics Research Unit, South African Medical Research Council, South Africa; Statistics and Population Studies Department, University of the Western Cape, South Africa.
  • Schwellnus M; Sport, Exercise Medicine and Lifestyle Institute (SEMLI), Faculty of Health Sciences, University of Pretoria, South Africa; International Olympic Committee (IOC) Research Centre, South Africa.
J Sci Med Sport ; 2024 Jul 16.
Article in En | MEDLINE | ID: mdl-39079882
ABSTRACT

OBJECTIVES:

To identify the risk factors associated with all medical encounters (MEs) and serious/life-threatening MEs (SLMEs) during the Comrades Marathon.

DESIGN:

Prospective cohort study, with cross-sectional analyses.

METHODS:

During the 2014-2019 Comrades Marathon, all MEs (including SLMEs) were recorded in 103,131 starters. For both all MEs and SLMEs, the following risk factors were explored sex, age, route ("up" vs. "down" race), previous Comrades experience (yes/no), wet-blub globe temperature (WBGT) and race pace. Incidence (per 1000 starters; 95%CI), and the incidence ratio (IR; 95%CI) are presented.

RESULTS:

For all MEs, being female was a significant risk factor (females vs. males IR = 1.47, p < 0.0001), and age was only marginally significant (p = 0.0167). Therefore factors for all MEs were adjusted for sex. Other factors significantly associated with all MEs were higher WBGT (highest WBGT compared to lowest, IR = 1.33, p = 0.0003), race pace (highest risk for those who finish either among the first quarter [IR = 1.49] or last quarter [IR = 1.46] compared to middle pace; p < 0.0001) and the route ("down" vs. "up" IR = 1.11; p = 0.0181). Factors associated with higher risk for SLMEs were females (IR = 1.9; p = 0.0003), "down" vs. "up" route (IR = 1.37; p = 0.0306) and race pace (slower and faster runners vs. mid (6.4-7.1 min/km) race pace category (IR > 2.1, p < 0.0001)).

CONCLUSIONS:

Intrinsic (female, faster and slower race pace) and extrinsic (higher WBGT and the "down" route) are novel risk factors associated with all MEs at this event. These can be considered by the race organizers and the medical team to develop and implement prevention strategies.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Sci Med Sport Journal subject: MEDICINA ESPORTIVA Year: 2024 Document type: Article Country of publication: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Sci Med Sport Journal subject: MEDICINA ESPORTIVA Year: 2024 Document type: Article Country of publication: Australia