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dc.contributor.authorJordaan, Esmé R.
dc.contributor.authorSewry, Nicola
dc.contributor.authorSchwellnus, MP
dc.date.accessioned2021-01-07T09:10:56Z
dc.date.available2021-01-07T09:10:56Z
dc.date.issued2020
dc.identifier.citationJordaan, E. R. et al. (2020). Pre-race screening and stratification predicts adverse events—A 4-year study in 29585 ultra-marathon entrants, SAFER X. Scandinavian Journal of Medicine and Science in Sports ,30(7), 1205-1211en_US
dc.identifier.issn1600-0838
dc.identifier.uri10.1111/sms.13659
dc.identifier.urihttp://hdl.handle.net/10566/5595
dc.description.abstractPre-race screening and risk stratification in recreational endurance runners may predict adverse events (AEs) during a race. Aim: To determine if pre-race screening and risk stratification predict AEs during a race. Methods: A total of 29 585 participants (Male 71.1%, average age = 42.1 years; Female 28.9%, average age = 40.2 years) at the Two Oceans ultra-marathon races (56 km) completed a pre-race medical screening questionnaire and were risk stratified into four pre-specified groups [very high risk (VHR; existing cardiovascular disease–CVD:3.2%), high risk (HR; risk factors for CVD:10.5%), intermediate risk (IR; existing other chronic disease, medication use or injury:53.3%), and low risk (LR:33.0%)]. Race starters, finishers, and medical encounters (ME) were recorded. Did-not-start (DNS) rate (per 1000 entrants that did-not-start), did-not-finish (DNF) rate (per 1000 starters that did-not-finish), AE rate [per 1000 starters that either DNF or had an ME], and ME rate (per 1000 starters with an ME) were compared across risk categories. Results: Adverse events were significantly higher (per 1000 starters; 95%CI) in the VHR (68.9; 52.4-89.9:P =.0407) compared with the LR (51.3; 46.5-56.7).en_US
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.subjectEpidemiologyen_US
dc.subjectMedical screeningen_US
dc.subjectPre-race screeningen_US
dc.subjectRisk stratificationen_US
dc.subjectRunningen_US
dc.titlePre-race screening and stratification predicts adverse events—A 4-year study in 29585 ultra-marathon entrants, SAFER Xen_US
dc.typeArticleen_US


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