Head Acceleration Events During Tackle, Ball-Carry, and Ruck Events in Professional Southern Hemisphere Men's Rugby Union Matches: A Study Using Instrumented Mouthguards.

OBJECTIVES: Describe head acceleration events (HAEs) experienced by professional male rugby union players during tackle, ball-carry, and ruck events using instrumented mouthguards (iMGs). DESIGN: Prospective observational cohort. METHODS: Players competing in the 2023 Currie Cup (141 players) and Super Rugby (66 players) seasons wore iMGs. The iMG-recorded peak linear acceleration (PLA) and peak angular acceleration (PAA) were used as in vivo HAE approximations and linked to contact-event data captured using video analysis. Using the maximum PLA and PAA per contact event (HAEmax), ordinal mixed-effects regression models estimated the probabilities of HAEmax magnitude ranges occurring, while accounting for the multilevel data structure. RESULTS: As HAEmax magnitude increased the probability of occurrence decreased. The probability of a HAEmax ≥15g was 0.461 (0.435-0.488) (approximately 1 in every 2) and ≥45g was 0.031 (0.025-0.037) (1 in every 32) during ball carries. The probability of a HAEmax >15g was 0.381 (0.360-0.404) (1 in every 3) and >45g 0.019 (0.015-0.023) (1 in every 53) during tackles. The probability of higher magnitude HAEmax occurring was greatest during ball carries, followed by tackles, defensive rucks and attacking rucks, with some ruck types having similar profiles to tackles and ball carries. No clear differences between positions were observed. CONCLUSION: Higher magnitude HAEmax were relatively infrequent in professional men's rugby union players. Contact events appear different, but no differences were found between positions. The occurrence of HAEmax was associated with roles players performed within contact events, not their actual playing position. Defending rucks may warrant greater consideration in injury prevention research.

The Frequency and Severity of Gastrointestinal Symptoms in Rugby Players.

This study aimed to assess the self-reported frequency and severity of gastrointestinal symptoms (GIS) at rest and around rugby training and match play in male and female rugby union players. An online questionnaire was sent to registered rugby union players (sevens or fifteens). Thirteen GIS were assessed alongside perceptions of appetite around rugby and rest using Likert and visual analog scales. Questions investigating a range of medical and dietary factors were included. Three hundred and twenty-five players (male n=271, female n=54) participated in the study. More frequent GIS (at least one GIS experienced weekly/more often) was reported by players at rest (n=203; 62%) compared to around rugby (n=154; 47%). The overall severity of GIS was low (mild discomfort), but a portion of players (33%) did report symptoms of moderate severity around rugby. Female players reported more frequent and severe symptoms compared to male counterparts (p<0.001). Self-reported appetite was significantly lower after matches compared to training. There were no dietary or medical factors associated with GIS severity scores. This study describes GIS characteristics in male and female rugby union players. Half of the players assessed experienced some form of GIS that may affect nutrition, training, or performance, and should thus be a consideration for practitioners supporting this cohort.

Medical care and first aid: an interassociation consensus framework for organised non-elite sport during the COVID-19 pandemic.

The cessation of amateur and recreational sport has had significant implications globally, impacting economic, social and health facets of population well-being. As a result, there is pressure to resume sport at all levels. The ongoing prevalence of SARS-CoV-2 and subsequent 'second waves' require urgent best practice guidelines to be developed to return recreational (non-elite) sports as quickly as possible while prioritising the well-being of the participants and support staff.This guidance document describes the need for such advice and the process of collating available evidence. Expert opinion is integrated into this document to provide uniform and pragmatic recommendations, thereby optimising on-field and field-side safety for all involved persons, including coaches, first responders and participants.The nature of SARS-CoV-2 transmission means that the use of some procedures performed during emergency care and resuscitation could potentially be hazardous, necessitating the need for guidance on the use of personal protective equipment, the allocation of predetermined areas to manage potentially infective cases and the governance and audit of the process.

Tackler and ball-carrier technique during moderate and severe injuries (≥8 days lost) compared with player-matched and team-matched injury-free controls in Elite Rugby Union.

OBJECTIVE: To analyse tackler and ball-carrier technical proficiency during moderate and severe contact injuries (≥8 days lost) in professional rugby union, and compare it with injury-free event-matched controls from the same player and from the same team. METHODS: Technical proficiency for 74 (n=74) (moderate and severe; ≥8 days lost) tackler and ball-carrier injuries during The Currie Cup (2014-2018) and 623 matched non-injury events (253 own controls, 370 team controls) were examined through video analysis using a standardised list of technical criteria. RESULTS: Mean technical proficiency score for injured tacklers during front-on tackles was 6.19/16 (arbitrary units (AU) 95% CI 4.89 to 7.48), which was significantly different to their own controls (8.90/16 AU, 95% CI 8.37 to 9.43, p<0.001, effect size (ES)=1.21, large) and team controls (9.93/16 AU, 95% CI 9.50 to 10.40, p<0.001, ES=1.71, large). Mean technical proficiency score for injured ball-carriers during front-on tackles was 5.60/14 AU (95% CI 4.65 to 6.55), which was significantly different to their own controls (8.08/14 AU, 95% CI 7.56 to 8.60, p<0.001, ES=1.16, moderate) and team controls (8.16/14 AU, 95% CI 7.75 to 8.57, p<0.001, ES=1.25, large). CONCLUSION: For the tackler and ball-carrier, for both front-on and side-on/behind tackles, overall technical proficiency scores were significantly lower for the injury-causing event, when compared with the player's own injury-free tackles and the team's injury-free tackles. Through analysing player and team controls, player technique deficiencies for the injured player and player technique deficiencies that expose all players to injury were highlighted, which may inform injury prevention strategies and policies, and assist coaches in optimising training to reduce tackle injury risk.

Team illness prevention strategy (TIPS) is associated with a 59% reduction in acute illness during the Super Rugby tournament: a control-intervention study over 7 seasons involving 126 850 player days.

OBJECTIVES: To determine whether a team illness prevention strategy (TIPS) would reduce the incidence of acute illness during the Super Rugby tournament. METHODS: We studied 1340 male professional rugby union player seasons from six South African teams that participated in the Super Rugby tournament (2010-2016). Medical staff recorded all illnesses daily (126 850 player days) in a 3-year control (C: 2010-2012; 47 553 player days) and a 4-year intervention (I: 2013-2016; 79 297 player days) period. A five-element TIPS was implemented in the I period, following agreement by consensus. Incidence rate (IR: per 1000 player days; 95% CI) of all acute illnesses, illness by main organ system, infectious illness and illness burden (days lost due to illness per 1000 player days) were compared between C and I period. RESULTS: The IR of acute illness was significantly lower in the I (5.5: 4.7 to 6.4) versus the C period (13.2: 9.7 to 18.0) (p<0.001). The IR of respiratory (C=8.6: 6.3 to 11.7; I=3.8: 3.3 to 4.3) (p<0.0001), digestive (C=2.5: 1.8 to 3.6; I=1.1: 0.8 to 1.4) (p<0.001), skin and subcutaneous tissue illness (C=0.7: 0.4 to 1.4; I=0.3: 0.2 to 0.5) (p=0.0238), all infections (C=8.4: 5.9 to 11.9; I=4.3: 3.7 to 4.9) (p<0.001) and illness burden (C=9.2: 6.8 to 12.5; I=5.7: 4.1 to 7.8) (p=0.0314) were significantly lower in the I versus the C period. CONCLUSION: A TIPS during the Super Rugby tournament was associated with a lower incidence of all acute illnesses (59%), infectious illness (49%) and illness burden (39%). Our findings may have important clinical implications for other travelling team sport settings.

Consensus on a video analysis framework of descriptors and definitions by the Rugby Union Video Analysis Consensus group.

Using an expert consensus-based approach, a rugby union Video Analysis Consensus (RUVAC) group was formed to develop a framework for video analysis research in rugby union. The aim of the framework is to improve the consistency of video analysis work in rugby union and help enhance the overall quality of future research in the sport. To reach consensus, a systematic review and Delphi method study design was used. After a systematic search of the literature, 17 articles were used to develop the final framework that described and defined key actions and events in rugby union (rugby). Thereafter, a group of researchers and practitioners with experience and expertise in rugby video analysis formed the RUVAC group. Each member of the group examined the framework of descriptors and definitions and rated their level of agreement on a 5-point agreement Likert scale (1: strongly disagree; 2: disagree; 3: neither agree or disagree; 4: agree; 5: strongly agree). The mean rating of agreement on the five-point scale (1: strongly disagree; 5: strongly agree) was 4.6 (4.3-4.9), 4.6 (4.4-4.9), 4.7 (4.5-4.9), 4.8 (4.6-5.0) and 4.8 (4.6-5.0) for the tackle, ruck, scrum, line-out and maul, respectively. The RUVAC group recommends using this consensus as the starting framework when conducting rugby video analysis research. Which variables to use (if not all) depends on the objectives of the study. Furthermore, the intention of this consensus is to help integrate video data with other data (eg, injury surveillance).

Match injury incidence during the Super Rugby tournament is high: a prospective cohort study over five seasons involving 93 641 player-hours.

OBJECTIVES: To determine the incidence and nature of injuries in the Super Rugby tournament over a 5-year period. METHODS: 482 male professional rugby union players from six South African teams participating in the Super Rugby tournament were studied (1020 player-seasons). Medical staff of participating teams (2012-2016 tournaments) recorded all time loss injuries (total injuries and match injuries) and exposure hours (93 641 total playing hours; 8032 match hours). Injury incidence, injured player proportion, severity (time lost), anatomical location, tissue type and activity/phase during which injury occurred are reported. RESULTS: The overall incidence of match injuries (per 1000 player-hours; 95% CI) for each year was as follows: 2012 (83.3; 69.4-99.2); 2013 (115.1; 98.7-133.5); 2014 (95.9; 80.8-113.1), 2015 (112.3; 96.6-129.9) and 2016 (93.2; 79.9-107.9). The injured player proportion for each year was as follows: 2012 (54.6%); 2013 (49.4%); 2014 (52.0%); 2015 (50.0%); and 2016 (39.8%). The thigh, knee, head/face and shoulder/clavicle are the most frequently injured locations, and muscle/tendon and joint/ligament injuries account for the majority of injuries. Most injuries (79%) occur in contact situations, in particular during a tackle (54%). CONCLUSION: The incidence of match injuries and the injured player proportion in South African teams competing in the Super Rugby tournament is high. Match injury incidence is consistently higher than previously reported for senior male rugby players at elite/professional level. Targeted risk management strategies are therefore needed in the Super Rugby tournament to manage risk of injury.

Tackle technique and tackle-related injuries in high-level South African Rugby Union under-18 players: real-match video analysis.

BACKGROUND: The high injury rate associated with rugby union is primarily due to the tackle, and poor contact technique has been identified as a risk factor for injury. We aimed to determine whether the tackle technique proficiency scores were different in injurious tackles versus tackles that did not result in injury using real-match scenarios in high-level youth rugby union. METHODS: Injury surveillance was conducted at the under-18 Craven Week tournaments (2011-2013). Tackle-related injury information was used to identify injury events in the match video footage and non-injury events were identified for the injured player cohort. Injury and non-injury events were scored for technique proficiency and Cohen's effect sizes were calculated and the Student t test (p<0.05) was performed to compare injury versus non-injury scores. RESULTS: The overall mean score for front-on ball-carrier proficiency was 7.17±1.90 and 9.02±2.15 for injury and non-injury tackle events, respectively (effect size=moderate; p<0.05). The overall mean score for side/behind ball-carrier proficiency was 4.09±2.12 and 7.68±1.72 for injury and non-injury tackle events, respectively (effect size=large; p<0.01). The overall mean score for front-on tackler proficiency was 7.00±1.95 and 9.35±2.56 for injury and non-injury tackle events, respectively (effect size=moderate; p<0.05). The overall mean score for side/behind tackler proficiency was 5.47±1.60 and 8.14±1.75 for injury and non-injury tackle events, respectively (effect size=large; p<0.01). SUMMARY: Higher overall mean and criterion-specific tackle-related technique scores were associated with a non-injury outcome. The ability to perform well during tackle events may decrease the risk of injury and may manifest in superior performance.

Incidence and Factors Associated With Concussion Injuries at the 2011 to 2014 South African Rugby Union Youth Week Tournaments.

OBJECTIVE: To determine the concussion incidence and to identify factors associated with concussion in South African youth rugby union players. DESIGN: Prospective cohort study. SETTING: Injury surveillance was completed at the South African Rugby Union Youth Week tournaments (under-13, under-16, and under-18 age groups). PARTICIPANTS: South African youth rugby union players. A total of 7216 players participated in 531 matches between 2011 and 2014. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Concussion incidence was calculated per 1000 player-match-hours with 95% CIs. Poisson regression was used to calculate the incidence rate ratio (IRR) between factors (age, time period, playing position, and activity at the time of concussion) potentially associated with concussions. RESULTS: The concussion incidence was 6.8/1000 player-match-hours (95% CI, 5.5-8.1) across all age groups. Under-13s (IRR, 1.5; P = 0.09) and under-16s (IRR, 1.7; P = 0.03) had higher concussion incidence rates than the under-18 age group. The incidence was higher in the third (IRR, 2.1; P = 0.04) and fourth (IRR, 2.5; P = 0.01) quarters of matches compared with the first quarter. Sixty-two percent of concussions occurred in the tackle situation. The tackler had a 4-fold greater concussion rate (IRR, 4.3; P < 0.001) compared with the ball carrier. The hooker and loose forwards had higher incidence rates than several other player positions (P < 0.05). CONCLUSIONS: The reported concussion incidence falls within the broad range previously reported in youth rugby. The evidence highlighted in this study may contribute to targeted concussion prevention strategies and provide a baseline against which the effectiveness of future interventions can be measured.

An evidence-driven approach to scrum law modifications in amateur rugby played in South Africa.

BACKGROUND: In 2012, the South African Rugby Union (SARU) approved a new set of scrum laws for amateur rugby played in the country, to be implemented at the start of the 2013 rugby season. These law changes were primarily based on the relatively high proportion of scrum-related catastrophic injury data collected as part of the BokSmart National Rugby Safety Programme (BokSmart) over the preceding 4 years (2008-2011). AIM: To describe the scrum-related catastrophic injury data in South Africa over the past 5 years (2008-2012), and to discuss how this evidence justifies the change in the Amateur Scrum Laws to make this aspect of the game safer in South Africa. METHODS: Catastrophic injury data were collected through BokSmart at amateur and professional levels, during training and matches over 5 years (2008-2012). RESULTS: The scrum phase accounted for 33% (n=20 of 60) of all catastrophic injuries between 2008 and 2012. Eighteen of the 20 scrum injuries (90%) were confirmed as acute spinal cord injuries, with 13 of these being permanent injuries. For the scrum injury mechanisms that were provided (n=19), 'impact on the engagement' was the most frequently reported (n=11 of 19, 58%), followed by 'collapsed scrum' (n=7 of 19, 37%) and 'popping out' (n=1 of 19, 5%). CONCLUSIONS: Based on these scrum-related catastrophic injury data, a change in the Amateur Scrum Laws of South African Rugby was justified. The main purpose of these scrum law changes is to reduce the number of scrum-related catastrophic injuries in the country, by minimising the opportunity for impact injury and subsequent scrum collapse in amateur rugby in South Africa, thereby making this aspect of the game of rugby safer.

More than 50% of players sustained a time-loss injury (>1†day of lost training or playing time) during the 2012 Super Rugby Union Tournament: a prospective cohort study of 17,340 player-hours.

BACKGROUND: Professional Rugby Union is a contact sport with a high risk of injury. OBJECTIVE: To document the incidence and nature of time-loss injuries during the 2012 Super Rugby tournament. DESIGN: Prospective cohort study. SETTING: 2012 Super Rugby tournament (Australia, New Zealand, South Africa). PARTICIPANTS: 152 players from 5 South African teams. METHODS: Team physicians collected daily injury data through a secure, web-based electronic platform. Data included size of the squad, type of day, main player position, training or match injury, hours of play (training and matches), time of the match injury, mechanism of injury, main anatomical location of the injury, specific anatomical structure of the injury, the type of injury, the severity of the injury (days lost). RESULTS: The proportion (%) of players sustaining a time-loss injury during the tournament was 55%, and 25% of all players sustained >1 injury. The overall incidence rate (IR/1000 player-hours) of injuries was 9.2. The IR for matches (83.3) was significantly higher than for training (2.1) and the IR was similar for forwards and backs. Muscle/tendon (50%) and joint/ligament (32.7%) injuries accounted for >80% of injuries. Most injuries occurred in the lower (48.1%) and upper limb (25.6%). 42% of all injuries were moderate (27.5%) or severe (14.8%), and tackling (26.3%) and being tackled (23.1%) were the most common mechanisms of injury. The IR of injuries was unrelated to playing at home compared with away (locations ≥6 h time difference). CONCLUSIONS: 55% of all players were injured during the 4-month Super Rugby tournament (1.67 injuries/match). Most injuries occurred in the lower (knee, thigh) or upper limb (shoulder, clavicle). 42% of injuries were severe enough for players to not play for >1 week.

Embracing the impact from instrumented mouthguards (iMGs): A survey of iMG managers' perceptions of staff and player interest into the technology, data and barriers to use.

Instrumented mouthguards (iMGs) are a novel technology being used within rugby to quantify head acceleration events. Understanding practitioners' perceptions of the barriers and facilitators to their use is important to support implementation and adoption. This study assessed men's and women's rugby union and league iMG managers' perceptions of staff and player interest in the technology, data and barriers to use. Forty-six iMG managers (men's rugby union and league n = 20 and n = 9 and women's rugby union and league n = 7 and n = 10) completed an 18-question survey. Perceived interest in data varied across staff roles with medical staff being reported as having the most interest. The iMG devices were perceived as easy to use but uncomfortable. Several uses of data were identified, including medical applications, player monitoring and player welfare. The comfort, size and fit of the iMG were reported as the major barriers to player use. Time constraints and a lack of understanding of data were barriers to engagement with the data. Continued education on how iMG data can be used is required to increase player and staff buy-in, alongside improving comfort of the devices. Studies undertaken with iMGs investigating player performance and welfare outcomes will make data more useful and increase engagement.

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.

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.

Elite athletes travelling to international destinations >5 time zone differences from their home country have a 2-3-fold increased risk of illness.

BACKGROUND: Illness accounts for a significant proportion of consultations with a team physician travelling with elite athletes. OBJECTIVE: To determine if international travel increases the incidence of illness in rugby union players participating in a 16-week tournament. SETTING: 2010 Super 14 Rugby Union tournament. PARTICIPANTS: 259 elite rugby players from eight teams were followed daily over the 16-week competition period (22 676 player-days). ASSESSMENT: Team physicians completed a logbook detailing the daily squad size and illness in any player (system affected, final diagnosis, type and onset of symptoms, training/match days lost and suspected cause) with 100% compliance. Time periods during the tournament were divided as follows: located and playing in the home country before travelling (baseline), located and playing abroad in countries >5 h time zone difference (travel) and located back in the home country following international travel (return). MAIN OUTCOME MEASUREMENT: Incidence of illness (illness per 1000 player-days) during baseline, travel and return. RESULTS: The overall incidence of illness in the cohort was 20.7 (95% CI 18.5 to 23.1). For all teams, the incidence of illness according to location and travelling was significantly higher in the time period following international travel (32.6; 95% CI 19.6 to 53.5) compared with the baseline (15.4; 95% CI 8.7 to 27.0) or after returning to their home country (10.6; 95% CI 6.1 to 18.2). CONCLUSIONS: There is a higher incidence of illness in athletes following international travel to a foreign country that is >5 h time difference and this returns to baseline on return to the home country.

Illness during the 2010 Super 14 Rugby Union tournament - a prospective study involving 22 676 player days.

BACKGROUND: Illness accounts for a significant proportion of consultations with a team physician travelling with elite athletes. OBJECTIVE: To determine the incidence, type, cause and consequences of illness in Rugby Union players participating in a 16-week tournament. SETTING: 8 teams participating in the 2010 Super 14 Rugby tournament Participants A cohort of 259 elite rugby players from eight teams was recruited. ASSESSMENT: All players were followed daily over the 16-week competition period (22 676 player days). Each day, team physicians completed an illness log with 100% compliance. Information included the daily squad size and illness details including system affected, final diagnosis, type and onset of symptoms, training/match days lost and suspected cause. MAIN OUTCOME MEASUREMENT: Incidence of illness (illness per 1000 player days). RESULTS: The incidence of illness in the cohort was 20.7/1000 player days (95% CI 18.5 to 23.1) with the highest incidence of illness in the respiratory system (6.4: 95% CI 5.5 to 7.3), gastrointestinal system (5.6: 95% CI 4.9 to 6.6) and the skin and subcutaneous tissue (4.6; 95% CI 4.0 to 5.4). Infections accounted for 54.5% of all illness and 26.1% of illness resulted in time loss of ≥1 day. In over 50% of illnesses, symptoms were present for ≥1 day before being reported to the team physician. CONCLUSION: Infective illness involving the respiratory tract and gastrointestinal tract together with dermatological illness was common in elite rugby players participating in this international tournament. A delay in reporting of symptoms >24 h could have important clinical implications in player medical care.

The incidence and transmission of SARS-CoV-2 infection in South African professional rugby players - AWARE II.

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.