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1.
Phys Sportsmed ; 2024 Jun 14.
Article in English | MEDLINE | ID: mdl-38872606

ABSTRACT

OBJECTIVES: Trail running is a popular off-road sport involving running in natural environments over various terrains, often in remote locations. This study aims to investigate the epidemiology and risk factors of injuries and illnesses, i.e. medical encounters, on race day among trail runners in a high-altitude ultra trail race. METHODS: This descriptive cross-sectional study on an ultra trail race (38 km, 65 km and 100 km) in South Africa, included participants 18 years or older. Of the 331 race participants, 285(86.1%) consented to participate in the study. Data collection included demographic details, injuries (body region, specific body area, tissue type, pathology) and illnesses (organ system, symptom cluster, etiology). Risk factor analysis includes sex, age, weight, height, race distance, illness and injury history, training and running experience. Frequency (n, %), prevalence (%) and odds ratios (OR; 95%CI) are reported. RESULTS: Eighty-nine (31.2%) individuals reported 131 medical encounters [49 injuries (37.4%); 82 illnesses (62.6%)]. Injuries were sustained by 14.7% of athletes, and 22.5% reported illnesses. For injuries, the lower limb was mainly involved (n = 41; 83.7%). Most injuries affected the foot (n = 18; 36.7%), ankle (n = 10; 20.4%) and knee (n = 7; 14.3%). Tissue types mainly involved skin (n = 21; 42.8%), ligament (n = 7; 14.3%) and muscle (n = 7; 14.3%). Multiple (n = 45; 54.9%) and gastrointestinal (n = 17; 20.7%) organ systems were mainly involved in illnesses. Only 100 km runners reported dehydration (n = 28; 31.5%), and one in every six of these runners (n = 5; 17.9%) did not finish. Runners reporting fatigue (n = 21; 23.6%) had a high (n = 8; 38.1%) did not finish rate. Two in every five participants (n = 36; 40.4%) with a medical encounter, did not finish. No medical encounter-associated risk factors were identified. CONCLUSIONS: Illnesses were more common than injuries during the mountainous ultra trail race. Sustaining a medical encounter increased the chance of not completing the race. Further research on the epidemiology of race day medical encounters in trail running is required.

2.
J Thorac Dis ; 16(3): 1854-1865, 2024 Mar 29.
Article in English | MEDLINE | ID: mdl-38617788

ABSTRACT

Background: Mask-wearing caused significant reductions in coronavirus disease 2019 (COVID-19) transmission. We aimed to determine whether face mask-wearing during exercise caused reductions in peripheral oxygen saturation (SpO2) and whether it affected secondary physiological measures [end-tidal carbon dioxide (EtCO2), respiratory rate (RR), heart rate (HR), expired breath temperature (EBT)]. Subjective measurements included ratings of perceived exertion (RPE), ratings of perceived breathlessness (RPB), and symptomology. Methods: A randomised cross-over trial examined no mask (NM), surgical mask (SM) and a buff mask (BM). Thirty participants (30-45 years) cycled at 60% power output for 30 min in three exercise sessions, 24 h apart, within 6 days. Each session recorded all measures at resting baseline (T0), 9 min (T1), 18 min (T2), and 27 min (T3). Dependent statistical tests determined significant differences between masks and time-points. Results: SpO2 decreased for SM and BM between T0 compared to T1, T2 and T3 (all P<0.005). BM caused significant reductions at T1 and T2 compared to NM (P<0.001 and P=0.018). Significant changes in EtCO2 and EBT occurred throughout exercise and between exercise stages for all mask conditions (P<0.001). As expected for moderate intensity exercise, RR and HR were significantly higher during exercise compared to T0 (P<0.001). RPB significantly increased for each condition at each time point (P<0.001). RPE was not significant between mask conditions at any exercise stage. Conclusions: SM and BM caused a mild but sustained reduction in SpO2 at commencement of exercise, which did not worsen throughout short (<30 min) moderate intensity exercise. Level of perception was similar, suggesting healthy people can wear masks during moderate exercise and activities of daily living.

3.
Phys Ther Sport ; 65: 7-13, 2024 Jan.
Article in English | MEDLINE | ID: mdl-37976906

ABSTRACT

OBJECTIVES: Determine and compare the epidemiology, clinical characteristics, and injury severity among race entrants training towards different ultra-trail race distances. DESIGN: Retrospective cross-sectional study. SETTING: The six months training period before the 2022 Mac Ultra races (46 km, 80 km, 161 km and 322 km). PARTICIPANTS: Of the 245 race entrants, 162 (66% of Mac ultra-trail runners) consented to analyse their data. OUTCOME MEASURES: Injury rate (injuries per 1000 h of running), point prevalence (% of currently injured participants), injury severity (time loss), and the frequency (n, %) of injuries reported during pre-race medical screening in the six months before the race. Using inferential statistics, we compared the injury rates between the different race distance categories (46 km, 80 km, 161 km, 322 km). All tests were performed at a 5% level of significance. RESULTS: We reported a statistically significantly higher injury rate among 46 km study participants (3.09 injuries per 1000 h) compared to the injury rates reported among 80 km (0.68 injuries per 1000 h; p = 0.001) and 161 km (1.09 injuries per 1000 h; p = 0.028) participants. The lower limb (89%) was the most injured anatomical region, with only 46 km study participants reporting upper limb, trunk, and head injuries (11%). Muscle/tendon was the most reported injured tissue type (56%), with muscle injuries (31%) the most reported pathology type. Shorter distance ultra-trail runners reported the highest injury severity. CONCLUSION: Ultra-trail runners training towards shorter ultra-trail distance races presented with a higher injury rate, more diverse injury profile, and a higher injury severity.


Subject(s)
Craniocerebral Trauma , Running , Humans , Cross-Sectional Studies , Retrospective Studies , Lower Extremity/injuries , Running/physiology
4.
J Sports Med Phys Fitness ; 63(8): 934-940, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37158796

ABSTRACT

BACKGROUND: There is limited evidence available on contributing factors for gradual onset running-related injuries (GORRIs) in ultramarathon runners. The aim was to determine if selected risk factors were associated with a history of GORRIs in 90-km ultramarathon race entrants. METHODS: Descriptive cross-sectional study. GORRI and medical data using an online pre-race medical screening tool was collected from 5770 consenting race entrants from the 2018 90-km Comrades Marathon. Selected risk factors associated with 12-months history of GORRIs (age, sex, training, chronic diseases and allergies) were analyzed using a multiple model (Poisson regression). Prevalence and prevalence ratios (PR, 95% CIs) are reported. RESULTS: The overall 12-month prevalence of GORRIs was 11.6% (95% CI: 10.8-12.5) and this was higher in females versus males (PR=1.6; 1.4-1.9) (P<0.0001). Novel independent risk factors associated with a history of GORRIs were: history of chronic disease (PR=1.3; P=0.0063); history of allergies (PR=1.7 increased risk for every disease; P<0.0001); fewer training sessions/week (PR=0.8 decreased risk for every two additional training sessions per week; P=0.0005); and increased number of years as a recreational runner (PR=1.1 increased risk per 5 years of running; P=0.0158). CONCLUSIONS: There is a complex interaction between the internal and external risk factors associated with GORRIs in 90-km distance runners. These data can inform injury prevention programs targeted at subgroups of ultradistance runners.


Subject(s)
Hypersensitivity , Running , Male , Female , Humans , Cross-Sectional Studies , Running/injuries , Risk Factors , Chronic Disease
5.
Br J Sports Med ; 57(8): 441-449, 2023 Apr.
Article in English | MEDLINE | ID: mdl-36754590

ABSTRACT

Using an expert consensus-based approach, a netball video analysis consensus (NVAC) group of researchers and practitioners was formed to develop a video analysis framework of descriptors and definitions of physical, technical and contextual aspects for netball research. The framework aims to improve the consistency of language used within netball investigations. It also aims to guide injury mechanism reporting and identification of injury risk factors. The development of the framework involved a systematic review of the literature and a Delphi process. In conjunction with commercially used descriptors and definitions, 19 studies were used to create the initial framework of key descriptors and definitions in netball. In a two round Delphi method consensus, each expert rated their level of agreement with each of the descriptors and associated definition on a 5-point Likert scale (1-strongly disagree; 2-somewhat disagree; 3-neither agree nor disagree; 4-somewhat agree; 5-strongly agree). The median (IQR) rating of agreement was 5.0 (0.0), 5.0 (0.0) and 5.0 (0.0) for physical, technical and contextual aspects, respectively. The NVAC group recommends usage of the framework when conducting video analysis research in netball. The use of descriptors and definitions will be determined by the nature of the work and can be combined to incorporate further movements and actions used in netball. The framework can be linked with additional data, such as injury surveillance and microtechnology data.


Subject(s)
Basketball , Humans , Consensus , Movement , Delphi Technique
6.
Clin J Sport Med ; 32(4): e422-e429, 2022 07 01.
Article in English | MEDLINE | ID: mdl-34117154

ABSTRACT

OBJECTIVES: To identify risk factors that predict gradual onset running-related injuries (GORRIs) in ultramarathon runners entering a mass community-based event. DESIGN: Descriptive cross-sectional study. SETTING: Two Oceans 56 km ultramarathon 2012 to 2015. PARTICIPANTS: Race entrants (n = 42 003) completed a compulsory pre-race medical history questionnaire; 29 585 (70.4%) of entrants consented. DEPENDENT/OUTCOME VARIABLE: A history of GORRIs in the past 12 months among race entrants. MAIN OUTCOME MEASURES: In a multi-variate model, runner demographics, training variables (years of recreational running, weekly running distance, training running speed), history of chronic disease (composite score), and history of allergies were included as factors predicting GORRIs. Prevalence (%) and prevalence ratios (PR, 95% CIs) are reported. RESULTS: The lifetime prevalence of GORRIs in ultramarathon runners was 24.4%. Independent factors predicting GORRIs were: higher chronic disease composite score (PR = 2.05 times increase risk for every 2 additional chronic diseases; P < 0.0001), history of allergies (PR = 1.66; P < 0.0001), increased years of recreational running (PR = 1.07 times increased risk for every 5 year increase in running; P < 0.0001), lower average weekly running distance (PR = 0.98 times decreased risk for every 15 km increase weekly running distance; P < 0.0001), and slower average training running speed (PR = 0.96 times decreased risk for every km/h increase in training running speed; P < 0.0001). CONCLUSIONS: Novel risk factors predicting GORRIs are increased number of chronic diseases and a history of allergies. These factors, together with training variables (years of recreational running, weekly running distance, and training running speed) can be targeted to develop and implement injury prevention, treatment, and rehabilitation interventions in ultramarathon runners.


Subject(s)
Hypersensitivity , Running , Chronic Disease , Cross-Sectional Studies , Humans , Risk Factors , Running/injuries
7.
Phys Sportsmed ; 50(2): 147-156, 2022 04.
Article in English | MEDLINE | ID: mdl-33535862

ABSTRACT

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.


Subject(s)
Prescription Drugs , Running , Adult , Chronic Disease , Cross-Sectional Studies , Female , Humans , Male , Prescriptions
8.
Sports Med ; 51(11): 2237-2250, 2021 11.
Article in English | MEDLINE | ID: mdl-34468950

ABSTRACT

Millions of consumer sport and fitness wearables (CSFWs) are used worldwide, and millions of datapoints are generated by each device. Moreover, these numbers are rapidly growing, and they contain a heterogeneity of devices, data types, and contexts for data collection. Companies and consumers would benefit from guiding standards on device quality and data formats. To address this growing need, we convened a virtual panel of industry and academic stakeholders, and this manuscript summarizes the outcomes of the discussion. Our objectives were to identify (1) key facilitators of and barriers to participation by CSFW manufacturers in guiding standards and (2) stakeholder priorities. The venues were the Yale Center for Biomedical Data Science Digital Health Monthly Seminar Series (62 participants) and the New England Chapter of the American College of Sports Medicine Annual Meeting (59 participants). In the discussion, stakeholders outlined both facilitators of (e.g., commercial return on investment in device quality, lucrative research partnerships, and transparent and multilevel evaluation of device quality) and barriers (e.g., competitive advantage conflict, lack of flexibility in previously developed devices) to participation in guiding standards. There was general agreement to adopt Keadle et al.'s standard pathway for testing devices (i.e., benchtop, laboratory, field-based, implementation) without consensus on the prioritization of these steps. Overall, there was enthusiasm not to add prescriptive or regulatory steps, but instead create a networking hub that connects companies to consumers and researchers for flexible guidance navigating the heterogeneity, multi-tiered development, dynamicity, and nebulousness of the CSFW field.


Subject(s)
Sports Medicine , Sports , Wearable Electronic Devices , Consensus , Exercise , Humans
10.
Sports Med ; 51(7): 1401-1415, 2021 Jul.
Article in English | MEDLINE | ID: mdl-33761127

ABSTRACT

Sport is historically designated by the binary categorization of male and female that conflicts with modern society. Sport's governing bodies should consider reviewing rules determining the eligibility of athletes in the female category as there may be lasting advantages of previously high testosterone concentrations for transwomen athletes and currently high testosterone concentrations in differences in sex development (DSD) athletes. The use of serum testosterone concentrations to regulate the inclusion of such athletes into the elite female category is currently the objective biomarker that is supported by most available scientific literature, but it has limitations due to the lack of sports performance data before, during or after testosterone suppression. Innovative research studies are needed to identify other biomarkers of testosterone sensitivity/responsiveness, including molecular tools to determine the functional status of androgen receptors. The scientific community also needs to conduct longitudinal studies with specific control groups to generate the biological and sports performance data for individual sports to inform the fair inclusion or exclusion of these athletes. Eligibility of each athlete to a sport-specific policy needs to be based on peer-reviewed scientific evidence made available to policymakers from all scientific communities. However, even the most evidence-based regulations are unlikely to eliminate all differences in performance between cisgender women with and without DSD and transwomen athletes. Any remaining advantage held by transwomen or DSD women could be considered as part of the athlete's unique makeup.


Subject(s)
Athletes , Athletic Performance , Consensus , Female , Humans , Male , Sexual Development , Testosterone
11.
Phys Ther Sport ; 47: 120-126, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33254101

ABSTRACT

OBJECTIVE: To determine the epidemiology and clinical characteristics of RRIs among trail runners who entered the 2019 SkyRun races. DESIGN: Descriptive cross-sectional study. SETTING: 2019 SkyRun races. PARTICIPANTS: Consent for data analysis was given by 305 of 412 (74%) race entrants. MAIN OUTCOME MEASURES: Retrospective annual incidence (RRIs/1000 h), point prevalence (%), frequency (%), characteristics (anatomical region, body area, tissue type, pathology type) and injury severity (mean severity score; 95% CI) of RRIs. RESULTS: 28.2% of participants reported at least one RRI. The retrospective annual incidence was 49.5 RRIs per 1000h and the point prevalence was 1.3%. Most injuries occurred in the lower limb (87.3%), with the knee (26.5%), ankle (21.6%), and foot (16.7%) reported as the most frequently injured body areas. Muscle/tendon accounted for 44.1% of tissue type injuries. Tendinopathy (27.5%), joint sprain (19.6%), and muscle injury (15.7%) were the most common pathology types reported. The mean injury severity score was 31.6. CONCLUSIONS: One in 4 trail runners reported at least one RRI in the 12 months leading up to a race. RRIs mostly affected the lower limb specifically the knee, ankle and foot. Future research should establish injury risk factors to ultimately develop specific injury prevention strategies.


Subject(s)
Athletic Injuries/epidemiology , Lower Extremity/injuries , Running/injuries , Adult , Athletic Injuries/prevention & control , Competitive Behavior , Cross-Sectional Studies , Female , Humans , Incidence , Male , Physical Conditioning, Human/adverse effects , Prevalence , Retrospective Studies , Risk Factors , Sprains and Strains/epidemiology , Sprains and Strains/prevention & control , Tendon Injuries/epidemiology , Tendon Injuries/prevention & control
12.
J Sci Med Sport ; 23(7): 670-679, 2020 Jul.
Article in English | MEDLINE | ID: mdl-32448749

ABSTRACT

OBJECTIVES: To describe the perceptions of South African elite and semi-elite athletes on return to sport (RTS); maintenance of physical conditioning and other activities; sleep; nutrition; mental health; healthcare access; and knowledge of coronavirus disease 2019 (COVID-19). DESIGN: Cross- sectional study. METHODS: A Google Forms survey was distributed to athletes from 15 sports in the final phase (last week of April 2020) of the level 5 lockdown period. Descriptive statistics were used to describe player demographic data. Chi-squared tests investigated significance (p<0.05) between observed and expected values and explored sex differences. Post hoc tests with a Bonferroni adjustment were included where applicable. RESULTS: 67% of the 692 respondents were males. The majority (56%) expected RTS after 1-6 months. Most athletes trained alone (61%; p<0.0001), daily (61%; p<0.0001) at moderate intensity (58%; p<0.0001) and for 30-60min (72%). During leisure time athletes preferred sedentary above active behaviour (p<0.0001). Sleep patterns changed significantly (79%; p<0.0001). A significant number of athletes consumed excessive amounts of carbohydrates (76%; p<0.0001; males 73%; females 80%). Many athletes felt depressed (52%), and required motivation to keep active (55%). Most had access to healthcare during lockdown (80%) and knew proceedings when suspecting COVID-19 (92%). CONCLUSIONS: COVID-19 had physical, nutritional and psychological consequences that may impact on the safe RTS and general health of athletes. Lost opportunities and uncertain financial and sporting futures may have significant effects on athletes and the sports industry. Government and sporting federations must support athletes and develop and implement guidelines to reduce the risk in a COVID-19 environment.


Subject(s)
Athletes , Coronavirus Infections , Pandemics , Pneumonia, Viral , Return to Sport , Betacoronavirus , COVID-19 , Cross-Sectional Studies , Depression , Dietary Carbohydrates , Exercise , Female , Humans , Male , SARS-CoV-2 , Sedentary Behavior , Sleep , Surveys and Questionnaires
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