Incidence of respiratory infections and SARS-CoV-2 is higher during contact phases in student rugby players - Lessons learnt from COVID-19 risk mitigation strategies-AWARE V.

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.

A high incidence of serious life-threatening cardiovascular medical encounters during a marathon (2014-2019) calls for prevention strategies: SAFER XL.

OBJECTIVE: The aim of this study was to determine the incidence and nature (severity and type by organ system and specific diagnosis) of all medical encounters (MEs), including serious/life-threatening MEs (SLMEs) during a South African road marathon. METHODS: This descriptive study was a retrospective analysis of data collected over 6 years at the Cape Town Marathon from 2014 to 2019, which included 40 446 starters. All MEs were collected and described as per the consensus statement for mass community-based sporting events. Incidences (I; per 1000 starters; 95% CI) are described for all MEs, SLMEs, and by organ system and specific diagnosis. RESULTS: The incidence of all MEs was 8.7 (95% CI: 7.8-9.6) per 1000 starters. The largest contributor to all MEs, by organ system affected, was cardiovascular-related, with an incidence of 1.8 (95% CI: 1.4-2.2), where exercise-associated postural hypotension was the most common specific diagnosis (I = 1.3; 95% CI: 1.0-1.7). The incidence of all SLMEs was 1.0 (95% CI: 0.7-1.4) making up 11.7% (41/350) of all MEs. The incidence of SLMEs by organ system was highest in the cardiovascular system (I = 0.4; 95% CI: 0.3-0.7), with acute coronary syndrome (ACS) (I = 0.2; 95% CI: 0.1-0.4) the most common specific diagnosis. There were no sudden cardiac deaths (SCD) nor sudden cardiac arrests (SCA). CONCLUSION: There was a high proportion of cardiovascular-related medical encounters, as well as SLMEs. We recommend that event organizers and race medical directors investigate prevention strategies to mitigate against risk of SLMEs, specifically acute cardiovascular SLMEs.

Ankle, knee and concussion concerns: Unveiling injury patterns in highly trained South African netball players.

OBJECTIVES: To describe the rate and type of netball injuries sustained during women's university-level tournament matches in South Africa. DESIGN: Descriptive epidemiological study. SETTING: Three editions of the women's Varsity Netball tournament (2021-23). PARTICIPANTS: Student-athletes representing nine university women's teams. MAIN OUTCOME MEASURES: Medical attention match injuries prospectively recorded by team medical staff. Injuries were classified according to the 2020 consensus statement, with the addition of "concussion" as a separate pathology type. The main outcomes are reported as incidence (injuries per 1000h; 95% confidence intervals - CIs), burden (days lost per 1000h; 95%CIs), and frequency (% of all injuries). RESULTS: Sixty-three injuries were recorded from 48 different players (58.8 per 1000h; 45.2-75.3) and the overall injury burden was 401 days per 1000h (364-440). Injury incidence by pathology type was highest for joint sprains (28.9 per 1000h), tendinopathies (7.5 per 1000h), and concussions (4.7 per 1000h). Joint sprains to the ankle accounted for 49% of the overall estimated days lost. CONCLUSIONS: Ankle joint sprains should be the primary target of injury risk reduction programmes in highly trained netball players. Concussions were reported and efforts should be made to increase awareness among players, coaches and medical staff.

The Association Between Menstrual Cycle Phase, Menstrual Irregularities, Contraceptive Use and Musculoskeletal Injury Among Female Athletes: A Scoping Review.

BACKGROUND: The influence of menstrual cycle phases (MCPs), menstrual irregularities (MI) and hormonal contraceptive (HC) use on injury among female athletes has been scrutinised. Existing systematic reviews investigating the effect of exposures affecting the endogenous reproductive hormone status on sporting injuries are limited in terms of the types of studies included and injuries investigated. OBJECTIVE: This scoping review aims to summarise the coverage of the literature related to the extent, nature and characteristics of the influence of MCP, MI and HC use on musculoskeletal injuries among athletes. It also aims to summarise key concepts and definitions in the relevant literature. Observational and experimental studies investigating the effect of MCP, MI, and HC on musculoskeletal injuries among female individuals of reproductive age were included. Studies specifically stating pregnant women, perimenopausal/postmenopausal athletes, or those using medication (other than HC) that affects reproductive hormone profiles or the musculoskeletal system were excluded. METHODS: This scoping review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping reviews and JBI scoping review guidelines. Published and unpublished studies were sourced from several databases and resources. Initial keywords used included terms related to "menstrual cycle", "hormonal contraception" and "injury." Titles and abstracts of identified citations were screened independently and assessed for eligibility by two independent reviewers. Data from the included studies were extracted using a standard data extraction form. RESULTS: The search yielded 10,696 articles, of which 96 met the eligibility criteria. Most studies investigated MI (77%), and 49% included MCP as a contributing injury risk factor. Publications have increased over the last two decades. Collectively, only 16% of research has been conducted in Africa, Asia and Oceania. There were no studies from South America. Seventy-five percent of the studies investigated individual versus team (25%) sport athletes. Most studies only investigated elite or professional (n = 24; 25%) level athletes. The definitions of injury, eumenorrhea and MI differ vastly among studies. Regarding MI, most studies (69%) investigated secondary amenorrhea, followed by oligomenorrhea (51%) and primary amenorrhea (43%). Concerning HC, the influence of oral contraceptive pills was mainly investigated. CONCLUSIONS: Research related to MCP, MI and HC as contributing musculoskeletal injury risk factors is increasing; however, several gaps have been identified, including research from countries other than North America and Europe, the study population being non-professional/elite level athletes, athletes participating in team sports and specific injuries related to MCP, MI and HC, respectively. Differences in methodology and terminology of injury, MCP and MI hinder comparative summative research, and future research should consider current published guidelines during the study design. Identifying barriers to following standard guidelines or research investigating the most practical yet accurate methods to investigate the influence of MCP on musculoskeletal health might yield valuable insights for future research designs. CLINICAL TRIAL REGISTRATION: Scoping review registration number: Open Science Framework ( https://doi.org/10.17605/OSF.IO/5GWBV ).

Risk factors associated with medical encounters in ultramarathon race starters - Data from 103,131 race starters over 90 km: SAFER XLI.

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.

History of Multiple Allergies and Gradual Onset Running-Related Injuries in Distance Runners: SAFER XXXV.

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.

Sex, training variables, history of chronic disease, and chronic injury are risk factors associated with a history of exercise-associated muscle cramping in 10,973 ultramarathon race entrants: a safer XXXVIII study.

BACKGROUND: The prevalence of a history of exercise-associated muscle cramping (hEAMC) among ultramarathon runners is high. While the Comrades is one of the most popular mass community-based participation ultramarathons (90 km) globally, research on the epidemiology, clinical characteristics, and risk factors of entrants' lifetime hEAMC are scarce. This research aimed to describe the epidemiology, clinical characteristics, and risk factors of hEAMC among Comrades Marathon entrants. METHODS: This was a retrospective, cross-sectional study in which 10973 race entrants of the 2022 Comrades Marathon participated. Entrants completed a prerace medical screening questionnaire that included questions related to the lifetime prevalence (%; 95% CI), severity, treatment and risk factors (demographics, training/racing variables, chronic disease/allergies, injury) for EAMC. RESULTS: One thousand five hundred eighty-two entrants reported hEAMC in their lifetime (14.4%; 95% CI: 13.77-15.09). There was a significantly (P<0.01) higher prevalence of male (16.10%; 95% CI:15.34-16.90) than female (8.31%; 95% CI: 7.27-9.50) entrants with hEAMC (PR=1.94; 95% CI:1.68-2.23). The prevalence of hEAMC was highest in entrants with a: 1) 1 disease increase in composite disease score (PR=1.31; 95% CI:1.25-1.39); 2) history of collapse (PR=1.87; 95% CI 1.47-2.38); 3) past chronic musculoskeletal (MSK) injury (PR=1.71; 95% CI 1.50-1.94); and 4) MSK injury in the previous 12 months (PR=2.38;95% CI: 2.05-2.77). Training-related risk factors included an increase of 10 km weekly running distance (PR=0.97; 95% CI:0.95-0.99) and a training pace increase of 1min/ km (slower) (PR=1.07; 95% CI:1.03-1.12). CONCLUSIONS: Future research should investigate the causal relationship between risk factors identified and hEAMC in ultramarathon runners. Findings from this study could assist in effective anticipation and adequate planning for treating EAMC encounters during community-based mass participation events.

Injury in Starting and Replacement Players from Five Professional Men's Rugby Unions.

OBJECTIVES: The aim of this study was to compare the incidence, severity, and burden of injury in starting and replacement players from professional men's teams of five rugby unions. METHODS: Match injuries of greater than 24 h time-loss (including data on the severity, match quarter, event, body region) and player minutes of match exposure data were collated for all starting and replacement players in the men's English Premiership, Welsh Pro14 (both 2016/17-2018/19 seasons), and Australian, New Zealand, and South African Super Rugby (all 2016-2018 seasons) teams. Injury incidences and mean injury burden (incidence × days missed) were calculated, and rate ratios (RRs) (95% confidence intervals [CIs]) were used to compare injury incidence and burden between starting (reference group) and replacement players. RESULTS: Overall injury incidence was not different between starters and replacements for all injuries (RR = 0.98, 95% CI 0.88-1.10), nor for concussions (RR = 0.85; 95% CI 0.66-1.11). Mean injury burden was higher for replacement players (RR = 1.31, 95% CI 1.17-1.46). Replacement injury incidence was lower than the starters in the third (RR = 0.68, 95% CI 0.51-0.92) and fourth (RR = 0.78, 95% CI 0.67-0.92) match quarters. Injury incidence was not different between starters and replacements for any match event or body region, but compared with starters, replacements' injury burden was higher in lower limbs (RR = 1.24, 95% CI 1.05-1.46) and in the tackled player (RR = 1.30, 95% CI 1.01-1.66). CONCLUSION: This study demonstrated a lower injury incidence in replacement players compared with starters in the second half of matches, with a higher injury burden for replacement players due to higher mean injury severity.

Do five screening tools identify the same number of runners who require pre-exercise medical clearance? SAFER XXXIV.

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.

Rating of Perceived Exertion Associated With Acute Symptoms in Athletes With Recent SARS-CoV-2 Infection: Athletes With Acute Respiratory InfEction (AWARE) VI Study.

CONTEXT: SARS-CoV-2 infection can affect the exercise response in athletes. Factors associated with the exercise response have not been reported. OBJECTIVE: To (1) describe heart rate (HR), systolic blood pressure (SBP), and rating of perceived exertion (RPE) responses to exercise in athletes with a recent SARS-CoV-2 infection and (2) identify factors affecting exercise responses. DESIGN: Cross-sectional, experimental study. PATIENTS OR OTHER PARTICIPANTS: Male and female athletes (age = 24.2 ± 6.3 years) with a recent (<28 days) SARS-CoV-2 infection (n = 72). SETTING: A COVID-19 Recovery Clinic for athletes. MAIN OUTCOME MEASURE(S): Heart rate, SBP, and RPE were measured during submaximal exercise (modified Bruce protocol) at 10 to 28 days after SARS-CoV-2 symptom onset. Selected factors (demographics, sport, comorbidities, preinfection training variables, and symptoms during the acute phase of the infection) affecting the exercise response were analyzed using random coefficient (linear mixed) models. RESULTS: Heart rate, SBP, and RPE increased progressively from rest to stage 5 of the exercise test (P = .0001). At stage 5 (10.1 metabolic equivalents), a higher HR and a higher SBP during exercise were associated with younger age (P = .0007) and increased body mass index (BMI; P = .009), respectively. Higher RPE during exercise was significantly associated with a greater number of whole-body (P = .006) and total number (P = .004) of symptoms during the acute phase of infection. CONCLUSIONS: A greater number of symptoms during the acute infection was associated with a higher RPE during exercise in athletes at 10 to 28 days after SARS-CoV-2 infection. We recommend measuring RPE during the first exercise challenge after infection, as this may indicate disease severity and be valuable for tracking progress, recovery, and return to sport.

Increased number of symptoms during the acute phase of SARS-CoV-2 infection in athletes is associated with prolonged time to return to full sports performance-AWARE VIII.

PURPOSE: The aim of the study was to identify factors associated with prolonged time to return to full performance (RTFP) in athletes with recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS: Prospective cohort study with cross sectional analysis. A total of 84 athletes with confirmed SARS-CoV-2 infection assessed at a coronavirus disease 2019 recovery clinic gave a history of: age, sex, type/level of sport, co-morbidities, pre-infection training hours, and 26 acute SARS-CoV-2 symptoms from 3 categories ("nose and throat", "chest and neck", and "whole body"/systemic). Data on days to RTFP were obtained by structured interviews. Factors associated with RTFP were: demographics, sport participation, history of co-morbidities, pre-infection training history, acute symptoms (type, number). Outcomes were: (a) days to RTFP (median, interquartile range (IQR)) in asymptomatic (n = 7) and symptomatic athletes (n = 77), and (b) hazard ratios (HRs; 95% confidence interval) for symptomatic athletes with vs. without a factor (univariate, multiple models). HR < 1 was predictive of higher percentage chance of prolonged RTFP. Significance was p < 0.05. RESULTS: Days to RTFP were 30 days (IQR: 23-40) for asymptomatic and 64 days (IQR: 42-91) for symptomatic participants (p > 0.05). Factors associated with prolonged RTFP (univariate models) were: females (HR = 0.57; p = 0.014), endurance athletes (HR = 0.41; p < 0.0001), co-morbidity number (HR = 0.75; p = 0.001), respiratory disease history (HR = 0.54; p = 0.026). In symptomatic athletes, prolonged RTFP (multiple models) was significantly associated with increased "chest and neck" (HR = 0.85; p = 0.017) and "nose and throat" (HR = 0.84; p = 0.013) symptoms, but the association was more profound between prolonged RFTP and increased total number of "all symptoms" (HR = 0.91; p = 0.001) and "whole body"/systemic (HR = 0.82; p = 0.007) symptoms. CONCLUSION: A larger number of total symptoms and specifically "whole body"/systemic symptoms during the acute phase of SARS-CoV-2 infection in athletes is associated with prolonged RTFP.

A comparison of two pre-race medical screening tools in 5771 running race entrants-SAFER XXVIII.

OBJECTIVE: To determine if two pre-race screening tools (abbreviated tool of two open-ended pre-race medical screening questions [ABBR] vs. a full pre-race medical screening tool [FULL]) identify running race entrants at higher risk for medical encounters (MEs) on race day. METHODS: 5771 consenting race entrants completed both an ABBR and a FULL pre-race screening questionnaire for the 2018 Comrades Marathon (90 km). ABBR tool questions were (1) allergies, and (2) known medical conditions and/or prescription medication use. The FULL tool included multiple domains of questions for chronic diseases including cardiovascular disease (CVD), symptoms, risk factors, allergies and medication use. ABBR responses were manually coded and compared to the FULL tool. The prevalence (%: 95%CI), and the test for equality of prevalence of entrants identified by the ABBR vs. FULL tool is reported. RESULTS: The ABBR identified fewer entrants with allergies (ABBR = 7.9%; FULL = 10.4%: p = 0.0001) and medical conditions/medication use (ABBR = 8.9%; FULL = 27.4%: p = 0.0001). The ABBR tool significantly under-reported entrants with history of cardiovascular disease (CVD), CVD risk factors, other chronic diseases and prescription medication vs. the FULL tool (p = 0.0001). The ABBR tool identified fewer entrants in the "high" (ABBR = 3.4%; FULL = 12.4%) and "very high" risk (ABBR = 0.5%; FULL = 3.4%) categories for race day MEs (p = 0.0001). CONCLUSIONS: An abbreviated pre-race screening tool significantly under-estimates chronic medical conditions, allergies, and race entrants at higher risk for MEs on race day, compared with a full comprehensive screening tool. We recommend that a full pre-race medical screening tool be used to identify race entrants at risk for MEs.

Risk factors associated with gradual onset running-related injuries in 5770 ultramarathon race entrants - SAFER XXXII.

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.

Diagnostic approach to lower airway dysfunction in athletes: a systematic review and meta-analysis by a subgroup of the IOC consensus on 'acute respiratory illness in the athlete'.

OBJECTIVES: To compare the performance of various diagnostic bronchoprovocation tests (BPT) in the assessment of lower airway dysfunction (LAD) in athletes and inform best clinical practice. DESIGN: Systematic review with sensitivity and specificity meta-analyses. DATA SOURCES: PubMed, EBSCOhost and Web of Science (1 January 1990-31 December 2021). ELIGIBILITY CRITERIA: Original full-text studies, including athletes/physically active individuals (15-65 years) who underwent assessment for LAD by symptom-based questionnaires/history and/or direct and/or indirect BPTs. RESULTS: In 26 studies containing data for quantitative meta-analyses on BPT diagnostic performance (n=2624 participants; 33% female); 22% had physician diagnosed asthma and 51% reported LAD symptoms. In athletes with symptoms of LAD, eucapnic voluntary hyperpnoea (EVH) and exercise challenge tests (ECTs) confirmed the diagnosis with a 46% sensitivity and 74% specificity, and 51% sensitivity and 84% specificity, respectively, while methacholine BPTs were 55% sensitive and 56% specific. If EVH was the reference standard, the presence of LAD symptoms was 78% sensitive and 45% specific for a positive EVH, while ECTs were 42% sensitive and 82% specific. If ECTs were the reference standard, the presence of LAD symptoms was 80% sensitive and 56% specific for a positive ECT, while EVH demonstrated 65% sensitivity and 65% specificity for a positive ECT. CONCLUSION: In the assessment of LAD in athletes, EVH and field-based ECTs offer similar and moderate diagnostic test performance. In contrast, methacholine BPTs have lower overall test performance. PROSPERO REGISTRATION NUMBER: CRD42020170915.

The effects of acute respiratory illness on exercise and sports performance outcomes in athletes - A systematic review by a subgroup of the IOC consensus group on "Acute respiratory illness in the athlete".

Acute respiratory infections (ARinf) are common in athletes, but their effects on exercise and sports performance remain unclear. This systematic review aimed to determine the acute (short-term) and longer-term effects of ARinf, including SARS-CoV-2 infection, on exercise and sports performance outcomes in athletes. Data sources searched included PubMed, Web of Science and EBSCOhost, from January 1990 to 31 December 2021. Eligibility criteria included original research studies published in English, measuring exercise and/or sports performance outcomes in athletes/physically active/military aged 15-65 years with ARinf. Information regarding the study cohort, diagnostic criteria, illness classification and quantitative data on the effect on exercise/sports performance were extracted. Database searches identified 1707 studies. After full-text screening, 17 studies were included (n = 7793). Outcomes were acute or longer-term effects on exercise (cardiovascular or pulmonary responses), or sports performance (training modifications, change in standardised point scoring systems, running biomechanics, match performance or ability to start/finish an event). There was substantial methodological heterogeneity between studies. ARinf was associated with acute decrements in sports performance outcomes (four studies) and pulmonary function (three studies), but minimal effects on cardiorespiratory endurance (seven studies in mild ARinf). Longer-term detrimental effects of ARinf on sports performance (six studies) were divided. Training mileage, overall training load, standardised sports performance-dependent points and match play can be affected over time. Despite few studies, there is a trend towards impairment in acute and longer-term exercise and sports outcomes after ARinf in athletes. Future research should consider a uniform approach to explore relationships between ARinf and exercise/sports performance.PROSPERO (CRD42020159259)HighlightsCardiorespiratory endurance is largely unaffected by recent mild SARS-CoV-2 infection and upper ARinf (rhinovirus) infection, however more severe ARinf is associated with a negative impact on exercise and sports performance.An upper ARinf (rhinovirus) and SARS-CoV-2 infection caused marked reductions in pulmonary function tests (FEV1.0/FVC), with greater reductions observed in more severe ARinf. However, the results remained within normal ranges.Self-reported training ability and training capacity can be reduced during an upper ARinf, and an ARinf with fever could alter running kinematics.Training mileage and overall training load can be impaired over time post-ARinf. Analysis of initial studies indicates a trend for a reduction in standardised sports performance-dependent points in athletes with respiratory infection.

Pre-race self-reported medical conditions and allergies in 133 641 Comrades ultramarathon (90km) runners - SAFER XXIII.

OBJECTIVES: To determine the prevalence of self-reported pre-race chronic medical conditions and allergies in ultramarathon race entrants and to explore if these are associated with an increased risk of race-day medical encounters (MEs). METHODS: Data from two voluntary open-ended pre-race medical screening questions (Q1 - history of allergies; Q2 - history of chronic medical conditions/prescription medication use) were collected in 133641 Comrades Marathon race entrants (2014-2019). Race-day ME data collected prospectively over 6 years are reported as incidence (per 1000 starters) and incidence ratios (IR: 95%CI's). RESULTS: Pre-race medical screening questions identified race entrants with a history of chronic medical conditions and/or prescription medication use (6.9%) and allergies (7.4%). The % entrants with risk factors for cardiovascular disease (CVD) was 30% and being older (>45 years) or male (27.5%) were the most frequent CVD risk factors. 0.3% of entrants reported existing CVD. The overall incidence of MEs was 20/1000 race starters. MEs were significantly higher in race entrants reporting a 'yes' to Q1 (allergies) (IR = 1.3; 1.1-1.5) (p = 0.014) or Q2 (chronic medical conditions and/or prescription medication use) (IR = 1.3; 1.1-1.5) (p = 0.0006). CONCLUSIONS: Voluntary completion of two open-ended questions identified chronic medical conditions and/or prescription medication use in 6.9% and allergies in 7.4% of ultramarathon race entrants. This is lower than that reported for other races that implemented compulsory completion of a more comprehensive pre-screening questionnaire. Despite potential under-reporting, a pre-race self-reported history of chronic medical conditions and allergies was associated with a higher risk of race-day MEs.

Medical Encounters Among 94,033 Race Starters During a 16.1-km Running Event Over 3 Years in the Netherlands: SAFER XXVI.

BACKGROUND: There are limited data on the medical encounters (MEs) occurring during mass community-based running events of shorter distances (10-21.1 km). The aim of this study was to determine the incidence and nature of MEs during the largest mass participation running event in the Netherlands. HYPOTHESIS: We hypothesize that the incidence and nature of MEs will be similar to other running events. STUDY DESIGN: Descriptive epidemiological study over 3 years of a 16.1-km (10-mile) running event. LEVEL OF EVIDENCE: Level 4. METHODS: We investigated a total of 94,033 race starters at the 2017-2019 Dam tot Damloop (16.1 km), a point-to-point road race from Amsterdam to Zaandam, the Netherlands. All MEs were recorded by race medical staff on race day each year. MEs were retrospectively coded by severity, organ system, and final specific diagnosis (2019 consensus statement definition on mass community-based events). Incidence (I) per 1000 starters (95% CIs) were calculated for all MEs and serious/life-threatening MEs. RESULTS: The overall incidence (per 1000 starters) of all MEs was 2.75 (95% CI, 2.44-3.11), the overall incidence of serious/life-threatening MEs was 1.20 (95% CI, 1.00-1.45; 44% of MEs). Heat illnesses accounted for most MEs: hypothermia I = 0.54 (95% CI, 0.41-0.71) and hyperthermia I = 0.46 (95% CI, 0.34-0.62). Central nervous system MEs were also common (dizziness/nausea, I = 0.79; 95% CI 0.63-0.99), followed by the cardiovascular system MEs (exercise-associated postural hypotension, I = 0.36; 95% CI, 0.26-0.51). CONCLUSION: The overall incidence of MEs was low compared with longer-distance races (21.1-90 km), but the incidence and relative frequency of serious/life-threatening MEs (44% of all MEs) was much higher. Heat illness (hypothermia and exertional heat stroke) accounted for most serious/life-threatening MEs. CLINICAL RELEVANCE: There is a need to implement prevention strategies and interventions by specialized medical practitioners in this and similar events.

Males, Older Age, Increased Training, Chronic Diseases, Allergies, and History of Injury Are Independent Risk Factors Associated With a History of Exercise-Associated Muscle Cramping in Distance Runners in 76 654 Race Entrants - SAFER XXIX.

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.

Symptom Number and Reduced Preinfection Training Predict Prolonged Return to Training after SARS-CoV-2 in Athletes: AWARE IV.

PURPOSE: This study aimed to determine factors predictive of prolonged return to training (RTT) in athletes with recent SARS-CoV-2 infection. METHODS: This is a cross-sectional descriptive study. Athletes not vaccinated against COVID-19 ( n = 207) with confirmed SARS-CoV-2 infection (predominantly ancestral virus and beta-variant) completed an online survey detailing the following factors: demographics (age and sex), level of sport participation, type of sport, comorbidity history and preinfection training (training hours 7 d preinfection), SARS-CoV-2 symptoms (26 in 3 categories; "nose and throat," "chest and neck," and "whole body"), and days to RTT. Main outcomes were hazard ratios (HR, 95% confidence interval) for athletes with versus without a factor, explored in univariate and multiple models. HR < 1 was predictive of prolonged RTT (reduced % chance of RTT after symptom onset). Significance was P < 0.05. RESULTS: Age, level of sport participation, type of sport, and history of comorbidities were not predictors of prolonged RTT. Significant predictors of prolonged RTT (univariate model) were as follows (HR, 95% confidence interval): female (0.6, 0.4-0.9; P = 0.01), reduced training in the 7 d preinfection (1.03, 1.01-1.06; P = 0.003), presence of symptoms by anatomical region (any "chest and neck" [0.6, 0.4-0.8; P = 0.004] and any "whole body" [0.6, 0.4-0.9; P = 0.025]), and several specific symptoms. Multiple models show that the greater number of symptoms in each anatomical region (adjusted for training hours in the 7 d preinfection) was associated with prolonged RTT ( P < 0.05). CONCLUSIONS: Reduced preinfection training hours and the number of acute infection symptoms may predict prolonged RTT in athletes with recent SARS-CoV-2. These data can assist physicians as well as athletes/coaches in planning and guiding RTT. Future studies can explore whether these variables can be used to predict time to return to full performance and classify severity of acute respiratory infection in athletes.