Browsing by Author "Schwellnus, MP"

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    Epidemiology, clinical characteristics and severity of gradual onset injuries in recreational road cyclists: A cross-sectional study in 21,824 cyclists - SAFER XIII
    (Elsevier, 2020) Swanevelder, Sonja; Du Toit, François; Schwellnus, MP
    Objectives: Prevalence, clinical characteristics and severity of gradual onset injuries (GOIs) in cyclists are poorly documented. We determine the prevalence, anatomical regions/sites affected and severity of GOIs among entrants in a community-based mass participation event. Design: Cross-sectional study; Setting: Cape Town Cycle Tour; Participants: Race entrants. Main outcome measures: Of 35,914 entrants, 27,349 completed pre-race medical questionnaires. We studied 21,824 consenting cyclists (60.8% of entrants). Crude lifetime prevalence, retrospective annual incidence, anatomical region/sites, specific GOI, tissue type and GOI severity is reported. Results: The lifetime prevalence of GOIs was 2.8%, with an annual incidence of 2.5%. More common anatomical regions affected by GOIs were lower limb (43.4%), upper limb (19.8%), and lower back (11.5%). The knee (26.3%), shoulder (13%), and lower back (11.5%) regions were mostly affected. The most common GOI was anterior knee pain (14.2%). Of the GOIs, 55% were in soft tissue. 50% of cyclists reported symptom duration >12 months, and 37.3% of GOIs were severe enough to reduce/prevent cycling. Conclusion: 2.5% recreational cyclists report a GOI annually. >50% of GOIs affect the knee, lower back and shoulder. GOIs negatively affect cycling. Risk factors related to GOIs in cyclists need to be determined to develop and implement prevention programs.
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    History of chronic disease is a novel intrinsic risk factor associated with gradual onset injuries in recreational road cyclists: A cross-sectional study in 21,824 cyclists - SAFER XIV
    (Elsevier, 2020) Du Toit, François; Sonja, Swanevelder; Schwellnus, MP
    Objectives: Risk factors related to Gradual onset injuries (GOIs) in cyclists need to be identified to enable effective injury prevention strategies. We aim to determine risk factors related to GOIs in cyclists participating in mass community-based events. Design: Cross-sectional study. Setting: Cape Town Cycle Tour. Participants: Race entrants (n = 35,914) Main outcome measures: Completion of pre-race medical questionnaires. 21,824 consenting cyclists (60.8%) were studied. 617 cyclists reported GOIs. Selected risk factors associated with GOIs: demographics, training/racing history, chronic disease history, and medication use, were explored using multi-variate analyses. Results: Prevalence ratio (PR) of GOIs was similar in males and females, but higher in older age categories [>50 yrs vs. categories: ≤30yrs (PR = 1.6); 31 to ≤40yrs (PR = 1.5); 41 to <50yrs (PR = 1.4)] (p < 0.0001). Intrinsic risk factors associated with GOIs (adjusted for gender and age) were: 1) increased weekly training/racing frequency (PR = 1.1, p = 0.0003), 2) chronic disease history [cardiovascular disease symptoms (PR = 2.3, p = 0.0026), respiratory disease (PR = 1.6, p < 0.0001), nervous system/psychiatric disease (PR = 1.5, p = 0.0082)], and 3) history of analgesic/anti-inflammatory medication (AAIM) used before/during racing (PR = 5.1, p < 0.0001).
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    Pre-race screening and stratification predicts adverse events—A 4-year study in 29585 ultra-marathon entrants, SAFER X
    (Wiley-Blackwell, 2020) Jordaan, Esmé R.; Sewry, Nicola; Schwellnus, MP
    Pre-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).