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The incidence of acute respiratory infections (ARinf), including SARS-CoV-2, in unvaccinated student rugby players during phases from complete lockdown during the COVID-19 pandemic to returning to competition is unknown. The aim of the study was to determine the incidence of ARinf (including SARS-CoV-2) during non-contact and contact phases during the COVID-19 pandemic to evaluate risk mitigation strategies. In this retrospective cohort study, 319 top tier rugby players from 17 universities completed an online questionnaire. ARinf was reported during 4 phases over 14 months (April 2020-May 2021): phase 1 (individual training), phase 2 (non-contact team training), phase 3 (contact team training) and phase 4 (competition). Incidence (per 1 000 player days) and Incidence Ratio (IR) for 'All ARinf', and subgroups (SARS-CoV-2; 'Other ARinf') are reported. Selected factors associated with ARinf were also explored. The incidence of 'All ARinf' (0.31) was significantly higher for SARS-CoV-2 (0.23) vs. 'Other ARinf' (0.08) (p â€‹< â€‹0.01). The incidence of 'All ARinf' (IR â€‹= â€‹3.6; p â€‹< â€‹0.01) and SARS-CoV-2 (IR â€‹= â€‹4.2; p â€‹< â€‹0.01) infection was significantly higher during contact (phases 3 â€‹+ â€‹4) compared with non-contact (phases 1 â€‹+ â€‹2). Demographics, level of sport, co-morbidities, allergies, influenza vaccination, injuries and lifestyle habits were not associated with ARinf incidence. In student rugby, contact phases are associated with a 3-4 times higher incidence of ARinf/SARS-CoV-2 compared to non-contact phases. Infection risk mitigation strategies in the contact sport setting are important. Data from this study serve as a platform to which future research on incidence of ARinf in athletes within contact team sports, can be compared.

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OBJECTIVE: To determine if any gradual onset running-related injury (GORRI) was associated with any allergies, multiple allergies (allergies to animals, plants, medication), and allergy medication use. DESIGN: Cross-sectional descriptive study. SETTING: Two Oceans Marathons (56 km, 21.1 km), South Africa. PARTICIPANTS: A total of 76 654 race entrants (2012-2015). INDEPENDENT VARIABLES: The prevalence (%) and prevalence ratios (PR; 95% confidence intervals) for history of (1) any allergies, (2) multiple allergies to broad categories of allergens (animal material, plant material, allergies to medication, and other allergies), and (3) allergy medication use. MAIN OUTCOME MEASURES: Using a compulsory online screening questionnaire, the outcome was a history of any GORRIs, and subcategories of GORRIs (muscle, tendon) in the past 12 months and history of GORRIs (and subtypes of GORRIs) were reported. RESULTS: In 68 258 records with injury and allergy data, the following were significantly associated with reporting any GORRIs: a history of any allergy (PR = 2.2; P < 0.0001), a history of allergies to broad categories of allergens (animal, plant, medication allergy, other) (P < 0.0001), and the use of allergy medication (P < 0.0001). A history of any allergies (PR = 2.4; P < 0.0001), all broad categories of allergies, and allergy medication use were significantly associated with muscle (P < 0.0001) and tendon injuries (P < 0.0001). The risk of reporting a GORRI increased as the number of reported categories of allergies increased (P < 0.0001). CONCLUSIONS: A novel finding was the cumulative risk effect with a history of multiple allergies. Further studies should aim to determine the underlying mechanism relating allergies and GORRIs.

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BACKGROUND: Gradual-onset Achilles tendon injuries (GoATIs) in runners are common. Data show that chronic diseases are associated with GoATI. OBJECTIVE: To determine risk factors associated with a history of GoATIs among long-distance runners (21.1 and 56 km) entering a mass community-based running event. METHODS: Online pre-race medical screening questionnaire data from 76,654 consenting Two Ocean Marathon race entrants (71.8% entrants) were collected prospectively over 4 years (2012-2015); this cross-sectional study is a retrospective analysis of these data. A total of 617 entrants (0.8%) reported a GoATI in the last 12 months; 60,635 entrants reported no history of any running injury (controls). Categories of factors associated with GoATI were explored (univariate and multiple regression analyses): demographics (age group, sex, race, distance), training/racing history, and history of allergy, history of chronic disease, and Composite Chronic Disease Score. Prevalence and prevalence ratios (PRs; 95% CI) are reported. RESULTS: Factors associated with a higher prevalence of a history of GoATI (univariate analysis vs. controls) were older age (>31 years) (p < .001), male sex (PR = 1.76; p < .001), and longer race distance (56 km vs. 21.1 km) (PR = 2.06; p < .001). Independent factors associated with a history of GoATI (multiple regression) were increased years of recreational running (PR = 1.17 for every 5-year increase, p < .001), higher Composite Chronic Disease Score (PR = 2.07 for every 2-unit increase, p < .001), and allergy history (PR = 1.98 p < .001). CONCLUSION: Novel independent factors associated with a history of GoATI in distance runners were increased years of recreational running, chronic disease history, and allergy history. Runners at risk for GoATI could be targeted for injury prevention interventions. Future studies should focus on establishing a causal relationship.

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Fumonisin B1 (FB1), a food-borne mycotoxin, is a cancer promoter in rodent liver and augments proliferation of initiated cells while inhibiting the growth of normal hepatocytes by disrupting lipid biosynthesis at various levels. HepG2 cancer cells exhibited resistance to FB1-induced toxic effects presumably due to their low content of polyunsaturated fatty acids (PUFA) even though FB1-typical lipid changes were observed, e.g. significantly increased phosphatidylethanolamine (PE), decreased sphingomyelin and cholesterol content, increased sphinganine (Sa) and sphinganine/sphingosine ratio, increased C18:1ω-9, decreased C20:4ω-6 content in PE and decreased C20:4ω-6_PC/PE ratio. Increasing PUFA content of HepG2 cells with phosphatidylcholine (PC) vesicles containing C20:4ω-6 (SAPC) or C22:6ω-3 (SDPC) disrupted cell survival, cellular redox status and induced oxidative stress and apoptosis. A partially protective effect of FB1 was evident in PUFA-enriched HepG2 cells which may be related to the FB1-induced reduction in oxidative stress and the disruption of key cell membrane constituents indicative of a resistant lipid phenotype. Interactions between different ω-6 and ω-3 PUFA, membrane constituents including cholesterol, and the glycerophospho- and sphingolipids and FB1 in this cell model provide further support for the resistant lipid phenotype and its role in the complex cellular effects underlying the cancer promoting potential of the fumonisins.

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Although alcohol use is associated with depression, it is unclear if brief alcohol reduction interventions can ameliorate depression and psychological distress among people with HIV (PWH). We use data from a two-arm randomised controlled trial to examine this question. PWH on antiretroviral treatment (ART) were randomly assigned to receive a brief intervention or treatment as usual (n = 622). Screening was done with the Alcohol Use Disorders Identification Test (AUDIT), AUDIT-C, Centre for Epidemiological Studies Depression inventory and Kessler Psychological Distress Scale, at baseline and at 3- and 6-months post-baseline. Changes in depression and psychological distress was assessed using analysis of covariance models with baseline measures of alcohol consumption, sex and age included as covariates and adjusting for baseline symptom severity. Changes in alcohol consumption between baseline and follow-up were included in the analysis to establish if this affected outcomes. For both the intervention and control groups, there were significant reductions in symptom severity at 3-months and 6-months for depression and psychological distress, but no significant between group differences were observed. Reductions in alcohol consumption were significantly associated with reductions in depression and psychological distress, supporting the hypothesis that alcohol use is linked to depression among PWH.Trial Registration Pan African Clinical Trials Register, PACTR201405000815100.nh.

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OBJECTIVES: Currently, there are five international screening tools that are recommended to identify individuals who require pre-exercise medical clearance to reduce the risk of medical encounters during exercise. Therefore, the aim was to determine the percentage of race entrants who are advised to obtain pre-exercise medical clearance and the observed agreement between these five different international pre-exercise medical screening tools. METHODS: In all, 76,654 race entrants from the Two Oceans Marathon (2012-2015) that completed an online pre-race screening questionnaire. Five pre-exercise medical screening tools (American Heart Association (AHA), pre-2015 American College of Sport Medicine (ACSM), post-2015 ACSM, Physical Activity Readiness Questionnaire (PAR-Q), and the European Association of Cardiovascular Prevention and Rehabilitation (EACPR)) were retrospectively applied to all participants. The % (95%CI) race entrants requiring medical clearance identified by each tool and the observed agreement between tools (%) was determined. RESULTS: The % entrants requiring medical clearance varied from 6.7% to 33.9% between the five tools: EACPR (33.9%; 33.5-34.3); pre-2015 ACSM (33.9%; 33.5-34.3); PAR-Q (23.2%; 22.9-23.6); AHA (10.0%; 9.7-10.2); post-2015 ACSM (6.7%; 6.5-6.9). The observed agreement was highest between the pre-2015 ACSM and EACPR (35.4%), for pre-2015 ACSM and PAR-Q (24.8%), PAR-Q and EACPR (24.8%), and lowest between the post-2015 ACSM and AHA (4.1%). CONCLUSION: The percentage of race entrants identified to seek medical clearance (and observed agreement) varied considerably between pre-exercise medical screening tools. Further research should determine which tool has the best predictive ability in identifying those at higher risk of medical encounters during exercise.

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OBJECTIVE: Gradual onset injuries (GOIs) in recreational cyclists are common but not well described. The aim of this study is to describe the clinical characteristics of GOIs (main anatomical regions, specific anatomical sites, specific GOIs, tissue type, severity of GOIs, and treatment modalities) of GOIs among entrants participating in a community-based mass participation-cycling event over 5 years. METHODS: During the 2016-2020 Cape Town Cycle Tour, 62,758 consenting race entrants completed an online pre-race medical screening questionnaire. 1879 reported GOIs in the previous 12 months. In this descriptive epidemiological study, we report frequency (% entrants) of GOIs by anatomical region/sites, specific GOI, tissue type, GOI severity, and treatment modalities used. RESULTS: The main anatomical regions affected by GOIs were lower limb (47.4%), upper limb (20.1%), hip/groin/pelvis (10.0%), and lower back (7.8%). Specifically, GOI were common in the knee (32.1%), shoulder (10.6%), lower back (7.8%) and the hip/buttock muscles (5.2%). The most common specific GOI was anterior knee pain (17.2%). 57.0% of GOIs were in soft tissue. Almost half (43.9%) of cyclists with a GOI reported symptom duration >12 months, and 40.3% of GOIs were severe enough to reduce/prevent cycling. Main treatment modalities used for GOIs were rest (45.9%), physiotherapy (43.0%), stretches (33.2%), and strength exercises (33.1%). CONCLUSION: In recreational cyclists, >50% of GOIs affect the knees, shoulders, hip/buttock muscles and lower back, and 40% are severe enough to reduce/prevent cycling. Almost 45% of cyclists with GOIs in the lower back; or hip/groin/pelvis; or lower limbs; or upper limb reported a symptom duration of >12 months. Risk factors associated with GOIs need to be determined and preventative programs for GOIs need to be designed, implemented, and evaluated.

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OBJECTIVE: Patellofemoral pain (PFP) is a common cycling-related injury, and independent factors need to be identified to enable effective injury prevention strategies. We aim to determine factors associated with PFP in cyclists entering mass community-based events. DESIGN: Cross-sectional study. SETTING: 2016-2020 Cape Town Cycle Tour. PARTICIPANTS: Consenting race entrants. MAIN OUTCOME MEASURES: 62758 consenting race entrants completed a pre-race medical questionnaire, and 323 reported PFP. Selected factors associated with PFP (demographics, cycling experience and training, chronic disease history) were explored using multivariate analyses. RESULTS: Prevalence ratio (PR) of PFP was similar for sex and age groups. Independent factors associated with PFP (adjusted for sex and age) were history of chronic disease [Composite Chronic Disease Score (0-10)(PR = 2.0, p < 0.0001) and any allergies (PR = 2.0, p < 0.0001)]. CONCLUSION: A history of chronic diseases and allergies is associated with PFP in cyclists. Practical clinical recommendations are: 1) that prevention programs for PFP be considered when cycling is prescribed as a physical activity intervention for patients with chronic disease, and 2) that older cyclists presenting with PFP be assessed for the presence of risk factors or existing chronic disease.

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OBJECTIVE: To determine independent risk factors associated with a history of exercise-associated muscle cramps (hEAMCs) in distance runner race entrants in a community-based mass participation event. DESIGN: Cross-sectional study. SETTING: 2012 to 2015, Two Oceans marathon races (21.1 and 56 km), South Africa. PARTICIPANTS: Seventy six thousand six hundred fifty-four consenting race entrants. ASSESSMENT OF RISK FACTORS: Entrants completed an online prerace medical screening questionnaire as part of the entry process. In a multiple model, sex, age, training variables, history of chronic disease, allergies, and running injuries were included as potential factors associated with hEAMC in 21.1 and 56 km entrants. MAIN OUTCOME MEASURES: Prevalence (%) and prevalence ratios (PRs, 95% confidence intervals) are reported. RESULTS: Men ( P < 0.0001) and older age (>40 years, P < 0.0001) were significantly associated with hEAMC. Therefore, the model was adjusted for sex and age group and run separately for 21.1- and 56-km entrants. Specific independent risk factors associated with hEAMC in 21.1- and 56-km entrants were: a history of chronic diseases (21.1 km: PR = 1.9; 56 km: PR = 1.6; P < 0.0001), running injury in the last 12 months (21.1 km: PR = 1.7; 56 km: PR = 1.4; P < 0.0001), history of allergies (21.1 km: PR = 1.4; 56 km: PR = 1.2; P < 0.0001), and various training variables (PR = 1.0-1.1). CONCLUSION: In 21.1- and 56-km race entrants, independent risk factors associated with hEAMC were men, older age, longer race distances, training variables, chronic diseases, history of allergies, and history of a running injury in the past 12 months.

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OBJECTIVES: To describe the incidence and transmission of SARS-CoV-2 infections in South African professional rugby union players in different phases of return-to-competition during a pandemic. DESIGN: Prospective cohort study. METHODS: Players reported their history of SARS-CoV-2 infection before/during a national competition, using an online questionnaire (physician verified). Three periods of return to training/competition after a nation-wide complete lockdown during a pandemic were studied: 1) non-contact training, 2) contact training, 3) competition. The total period was 184 days (20/07/2020-20/01/2021) including 45 matches. Outcomes were: 1) incidence of SARS-CoV-2 infection (I: per 1000 player days; 95%CI) in each period (calculated using a Poisson distribution), 2) player symptoms, 3) median days to return-to-training following SARS-CoV-2 infection, 4) method of transmission, and 5) percentage matches cancelled due to SARS-CoV-2 infections. RESULTS: 185 players had 42 physician verified positive SARS-CoV-2 infections (I = 1.23; 95%CI: 0.86-1.61). Incidences during the three periods were: non-contact training = 0, contact training (I = 1.04; 0.36-1.71; mostly forwards), and competition (I = 1.54; 1.00-2.10). 83 % of the infected players were symptomatic and 52 % of the 42 positive players had systemic symptoms. Median return-to-training was 14 days. 22 (52 %) SARS-CoV-2 infections were rugby-related: 13 off-field (31 %), 9 on-field (21 %). 11 % of matches were cancelled due to SARS-CoV-2 infections. CONCLUSIONS: As contact in rugby was introduced back into the game following lockdowns there was an increasing incidence of SARS-CoV-2 infection. On-field rugby activities were responsible for 21 % of SARS-CoV-2 infections and 11 % of matches had to be cancelled, indicating the need for risk mitigation strategies.

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BACKGROUND: Limited data support prerace medical screening to identify risk factors for not finishing an endurance running race. The aim of the study was to determine risk factors associated with not finishing an ultramarathon. METHODS: A prospective, cross-sectional study of Two Oceans ultramarathon (56 km) race starters who completed a prerace medical screening questionnaire. Race day environmental conditions were recorded on race day. Univariate analyses of risk factors associated with the did-not-finish (DNF) included race day factors and prerace medical screening history. RESULTS: Risk factors for DNF amongst 23,996 starters during the 56 km race included older age and females (P<0.0001). After adjusting for age and sex, the following were significant univariate risk factors: fewer years of running (P<0.0001), less previous race experience (P<0.0001), less training/racing per week (P=0.0002), lower average weekly training distance (P=0.0016), slower race vs. training speed (P<0.0001), lack of allergies (P=0.0100) and average wet-bulb globe temperature (P<0.0001). CONCLUSIONS: Females, older age, training-related factors (less training/racing, average weekly training distance, race vs. training speed) and average wet-bulb temperature, were risk factors for not finishing an ultramarathon. The results may not only assist runners and coaches in race preparation, but also have clinical implications for the medical planning prior to races.

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BACKGROUND: There are limited data on factors that predict an increased risk of multiple injuries among distance runners. The objective of this study was to determine risk factors that are predictive of individual runners with a high annual multiple injury risk (MIR). METHODS: A retrospective, cross-sectional study at 4 annual (2012-2015) Two Oceans 21.1 km and 56.0 km races in South Africa with 75,401 consenting race entrants. Running-related injury data were collected retrospectively through an online pre-race medical screening questionnaire. The average number of injuries for each runner every year was calculated by taking a runner's race entry history and injury history into account and categorizing entrants into 4 MIR categories (high, intermediate, low, and very low (reference)). Multiple logistic regression modeling (odds ratios) was used to determine whether the following factors were predictive of a high MIR (average > 1 injury/year): demographics, training and racing, chronic-disease history (composite chronic disease score (CCDS)), and history of allergies. RESULTS: Of all entrants, 9.2% reported at least 1 injury, and 0.4% of entrants were in the high MIR category; the incidence rate was 2.5 injuries per 10 runner-years (95% confidence interval (95%CI): 2.4-2.7). Significant factors predictive of runners in the high MIR category were: running for > 20 years: OR = 2.0 (95%CI: 1.3-3.1; p = 0.0010); a higher CCDS: OR = 2.2 (95%CI: 2.0-2.4; p < 0.0001); and a history of allergies: OR = 2.8 (95%CI: 2.0-3.8; p < 0.0001). CONCLUSION: Runners who have been running recreationally for > 20 years and those with multiple chronic diseases or a history of allergies were at higher risk of multiple running-related injuries. This high-risk group can be targeted for further study and possible injury-prevention interventions.

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OBJECTIVE: To determine whether the lifetime prevalence and clinical characteristics of exercise-associated muscle cramping (EAMC) differ between runners entering a 21.1- versus 56-km road race. DESIGN: Cross-sectional study. SETTING: The 2012 to 2015 Two Oceans Marathon races (21.1 and 56 km), South Africa. PARTICIPANTS: Participants were consenting race entrants (21.1 km = 44 458; 56 km = 26 962) who completed an online prerace medical screening questionnaire. INDEPENDENT VARIABLE: A history of EAMC. MAIN OUTCOME MEASURES: The main outcome variables were lifetime prevalence (%) and clinical characteristics (muscle groups affected, timing of occurrence, severity, frequency of serious EAMC, and self-reported treatment) of a history of EAMC. Differences between 56- and 21.1-km race entrants were explored (relative risk [RR]). RESULTS: The lifetime prevalence of EAMC was 12.8%, which was higher in 56- (20.0%; 95% CI 19.5-20.6) versus 21.1-km race entrants (8.5%; 8.2-8.8) ( P = 0.0001). In all entrants, the fourth quarter was the most common onset (46.4%), calf muscles were the most commonly affected (53.1%), and most EAMCs were of mild-to-moderate severity (95%). In 56- versus 21.1-km entrants, hamstring (RR = 1.7; 1.5-1.9) and quadriceps muscle groups (RR = 1.5; 1.3-1.7) were more frequently affected ( P = 0.0001), the onset of EAMC during racing was less common in the first quarter (RR = 0.3; 0.2-0.4) ( P = 0.0001), and serious EAMC was more frequent (RR = 1.6; 1.4-1.9) ( P = 0.0001). CONCLUSIONS: In 56- versus 21.1-km runners, a history of EAMC is 2 times more frequent and muscle groups affected, onset in a race, and severity of EAMC differed. The lifetime prevalence was lower than previously reported in other events. Risk factors associated with EAMC may differ between entrants for different race distances.

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OBJECTIVE: To determine the prevalence of chronic prescription medication (CPM) use in distant runners (by age and sex) and to compare CPM use in 21.1 km vs. 56 km race entrants. METHODS: A cross-sectional study of 76,654 race entrants who completed a pre-race medical screening questionnaire during race registration, which included questions on the use of CPM and CPM use in eight main categories of CPM. Prevalence (%, 95%CIs) and prevalence ratios (PR) are reported. RESULTS: The prevalence of any CPM use was 12.5% (12.2-12.8). CPM use was higher in older age categories vs. the youngest age category (31-40 yrs vs. ≤30 yrs: PR = 1.4; 41-50 yrs vs. ≤30 yrs: PR = 2.1; >50 yrs vs. ≤30 yrs: PR = 3.4) (p < 0.0001) and females vs. males (PR = 1.1; p < 0.0001). The use of any CPM was significantly higher in 21.1 km vs. 56 km race entrants (PR = 1.2; p < 0.0001). Prevalence of CPM use in main categories was: blood pressure lowering medication (3.7%), cholesterol lowering medication (3.6%), asthma medication (3.1%), and medication to treat anxiety/depression (2.6%). The pattern of CPM in the main categories differed between 21.1 km and 56 km race entrants. CONCLUSIONS: One in eight race entrants use CPM, with a higher prevalence of use among older race entrants, female vs. males, and 21.1 km vs. 56 km race entrants. Frequent CPMs used are blood pressure lowering medication, cholesterol lowering medication, asthma medication, and medication to treat anxiety/depression. The use of CPM medications may increase the risk of medical complications during exercise, and these data help identify subgroups of entrants that may be at higher risk for race medical encounters.

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BACKGROUND: Gastrointestinal illness-related (GITill) medical encounters during distance running range from mild to debilitating. The objective of this study was to identify factors that may predict GITill among 21.1 km and 56 km race starters. METHODS: This is a cross-sectional analysis of data collected prospectively over 8 years at the Two Oceans 56 km and 21.1 km races with 153,208 race starters. GITill encounters requiring medical attention on race day were recorded by medical staff. Risk factors associated with GITill explored in univariate models included: race distance (21.1 km; 56 km), sex, age group, running experience, running speed, and environmental factors (wet-bulb temperature, wind speed and humidity). Incidence (per 100,000 race starters; 95% CI) and incidence ratios (IR) (with 95% CI) are reported. RESULTS: The incidence of GITill encounters was 60 (95%CI: 50-80) (1/1667 race starters). A longer race distance (56 km vs. 21.1 km) was the strongest predictor of GITill (IR=4.3; 95% CI: 2.7-6.7) (P<0.0001). Among the 56 km race starters, slower running speed (km/h) was a predictor of GITill (IR=1.63; 95%CI:1.2-2.3) (P=0.0024). Neither age group, nor running experience or any environmental factors (wet-bulb temperature, wind speed, humidity) were associated with a higher risk of GITill. CONCLUSIONS: Medical teams, responsible for care at longer race distances, can expect a higher incidence of GITill that require medical attention compared with shorter race distances. Slower runners competing in ultramarathons are a subgroup at higher risk of GITill. These data can assist medical teams at events to improve and plan medical care, target runner education and establish prevention strategies to reduce GITill in runners.

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INTRODUCTION: Trail running is characterized by elevation changes, with uneven and varying running surfaces. Risk factors that may predict gradual-onset running-related injuries (GORRIs) in short-distance trail running have not been explored. The objective was to determine risk factors that predict GORRIs in trail running race entrants who entered mass community-based trail running events. METHODS: In this descriptive cross-sectional study, data were collected prospectively from a prerace medical screening questionnaire over 4 trail run events held annually. Using a Poisson regression model, runner demographics, race distance, running training/racing variables, history of chronic diseases (number of chronic diseases reported as a cumulative "chronic disease composite score"), and allergies were investigated to determine factors predicting self-reported GORRI history in the previous 12 mo. RESULTS: This study included 2824 race entrants (80% of entrants). The retrospective annual incidence for GORRIs was 13%. Independent risk factors predicting GORRIs were longer race distance (P<0.0001), increasing chronic disease composite score (P=0.0012), and a history of allergies (P=0.0056). The lower limb (94%) was the main anatomic region of GORRIs, and soft tissue injuries accounted for most (83%) GORRIs. Common specific GORRIs were iliotibial band syndrome (22%), Achilles tendon injury (10%), and hamstring injury (9%). CONCLUSIONS: Independent risk factors predicting GORRIs among trail running entrants included longer race distance, a higher chronic disease composite score, and a history of allergies. This study has highlighted trail running race entrants at risk for sustaining GORRIs who could be targeted for future injury prevention interventions.

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BACKGROUND: There are limited data on acute injury-related medical encounters (injuries) in endurance cycling events. OBJECTIVE: To determine the risk factors for injuries during a mass community-based endurance cycling event. DESIGN: Retrospective, cross-sectional study. SETTING: Cape Town Cycle Tour (109 km), South Africa. PARTICIPANTS: 102 251 race starters. METHODS: All injuries for 3 years were recorded by race medical doctors and nurses. Injuries were grouped into main anatomical area of injury, and a Poisson regression model was used to determine the risk factors associated with injuries. RESULTS: The four injury risk factors associated with all injuries during an endurance cycling event were sex (women vs men, p<0.0001), older age (p=0.0005), faster cycling speed (p<0.0001) and higher average individualised Wind Speed (aiWindSpeed, p<0.0001). The only risk factor for serious/life-threatening injuries was women (p=0.0413). For specific main anatomical areas: head/neck (women), upper limb (women, older age, faster cyclists), trunk (women, higher aiWindSpeed), and lower limb (higher aiWindSpeed). CONCLUSION: Women, older age, faster cycling speed and higher aiWindSpeed were all risk factors for acute injuries during a mass community-based endurance cycling event. These risk factors should help inform race organisers and medical teams on race day to ensure the best medical care is given, and effective acute injury prevention programmes are disseminated.

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Differential anti-proliferative and pro-apoptotic effects of aqueous extracts of green rooibos (Rg; Aspalathus linearis) and green tea (GT; Camellia sinensis) and an aspalathin-enriched extract of green rooibos (GRE), were investigated in primary rat hepatocytes (PH) and human liver (HepG2) and colon (HT-29) cancer cells. Rooibos flavonoids, aspalathin and luteolin, and the green tea flavanol, epigallocatechin gallate (EGCG), were included to assess their contribution relative to their extract concentrations. GRE was the most effective in reducing cell growth parameters which was associated with a high total polyphenol content and high ferric reducing potential. Differential cell responses were noticed with HepG2 cells more sensitive than PH toward the induction of apoptosis by GRE. Luteolin induced apoptosis in PH and HepG2 cells while aspalathin lacked any effect. EGCG induced apoptosis in HepG2 cells while PH were resistant. HT-29 cells were resistant to apoptosis induction by the tea and pure flavonoids. Differences existed in the individual effects of the major rooibos and GT flavonoids against cell growth parameters compared to their equivalent concentrations in the extract mixtures. Diversity of the flavonoid constituents, physicochemical properties and cellular redox status governing cell survival are likely to explain the differential cell responses.

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PURPOSE: There are limited data on risk factors associated with illness-related medical encounters (illME) in cycling events. The aim of this study was to determine risk factors associated with illME in mass community-based endurance cycling events. METHODS: This is a retrospective cross-sectional study in the Cape Town Cycle Tour (109 km), South Africa, with 102,251 race starters. All medical encounters for 3 yr were recorded by race medical doctors and nurses. illME were grouped into common illnesses by final diagnosis. A Poisson regression model was used to determine whether specific risk factors (age, sex, cycling speed, and average individual cyclist wet-bulb globe temperature [aiWBGT]) are associated with illME, serious and life-threatening or death ME, and specific common illME. RESULTS: Independent risk factors associated with all illME during an endurance cycling event were slow cycling speed (P = 0.009) and higher aiWBGT (P < 0.001). Risk factors associated with serious and life-threatening or death ME were older age (P = 0.007) and slower cycling speed (P = 0.016). Risk factors associated with specific common illME were fluid and electrolyte disorders (females, older age, and higher aiWBGT) and cardiovascular illness (older age). CONCLUSION: Females, older age, slower cycling speed, and higher aiWBGT were associated with illME in endurance cycling. These data could be used to design and implement future prevention programs for illME in mass community-based endurance cycling events.

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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). CONCLUSION: Increased training frequency, chronic disease and AAIM use are risk factors associated with GOIs in cyclists. A novel finding is that in recreational cyclists, chronic disease history could be considered when managing GOIs and implementing prevention programs.

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