Risk factors associated with a history of iliotibial band syndrome (hITBS) in distance runners: a cross-sectional study in 76 654 race entrants - a SAFER XXXIII study.

BACKGROUND: Despite the numerous health benefits of distance running, it is also associated with the development of 'gradual onset running-related injuries' (GORRIs) one of which is Iliotibial Band Syndrome (ITBS). Novel risk factors associated with a history of ITBS (hITBS) have not been described in a large cohort of distance runners. OBJECTIVE: To identify risk factors associated with hITBS in distance runners. DESIGN: Descriptive cross-sectional study. SETTING: 21.1 km and 56 km Two Oceans Marathon races (2012-2015). PARTICIPANTS: 106 743 race entrants completed the online pre-race medical screening questionnaire. A total of 1 314 runners confirmed an accurate hITBS diagnosis. METHODS: Selected risk factors associated with hITBS explored included: demographics (race distance, sex, age groups), training/running variables, history of existing chronic diseases (including a composite chronic disease score) and history of any allergy. Prevalence (%) and prevalence ratios (PR; 95% CI) are reported (uni- & multiple regression analyzes). RESULTS: 1.63% entrants reported hITBS in a 12-month period. There was a higher (p < 0.0001) prevalence of hITBS in the longer race distance entrants (56 km), females, younger entrants, fewer years of recreational running (PR = 1.07; p = 0.0009) and faster average running speed (PR = 1.02; p = 0.0066). When adjusted for race distance, sex, age groups, a higher chronic disease composite score (PR = 2.38 times increased risk for every two additional chronic diseases; p < 0.0001) and a history of allergies (PR = 1.9; p < 0.0001) were independent risk factors associated with hITBS. CONCLUSION: Apart from female sex, younger age, fewer years of running and slower running speed, two novel independent risk factors associated with hITBS in distance runners are an increased number of chronic diseases and a history of allergies. Identifying athletes at higher risk for ITBS can guide healthcare professionals in their prevention and rehabilitation efforts.

Effects of no mask, a surgical mask and a fabric buff on peripheral oxygenation saturation during moderate intensity exercise: a randomised cross-over study.

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.

Training for shorter ultra-trail races results in a higher injury rate, a more diverse injury profile, and more severe injuries: 2022 Mac ultra races.

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.

Patellofemoral Pain Syndrome Is Associated With Chronic Disease and Allergies in 60 997 Distance Runner Race Entrants: SAFER XXX Study.

OBJECTIVE: Patellofemoral pain syndrome (PFPS) is a common running-related injury. Independent risk factors associated with PFPS have not been described in a large cohort of distance runners. DESIGN: Descriptive, cross-sectional study. SETTING: 21.1 and 56 km Two Oceans Marathon races (2012-2015). PARTICIPANTS: 60 997 race entrants. ASSESSMENT OF RISK FACTORS: Participants completed a compulsory prerace medical screening questionnaire (history of PFPS in the past 12 months, n = 362; no injury history, n = 60 635). Selected risk factors associated with a history of PFPS were explored using univariate & multivariate analyses: demographics, training/running variables, history of chronic diseases (composite chronic disease score), and any allergy. MAIN OUTCOME MEASURES: Prevalence ratios (PRs, 95% confidence intervals). RESULTS: Risk factors associated with PFPS (univariate analysis) were increased years of recreational running (PR = 1.09; P = 0.0107), older age (>50 years), and chronic diseases (PR > 2): gastrointestinal disease (PR = 5.06; P < 0.0001), cardiovascular disease (CVD) (PR = 3.28; P < 0.0001), nervous system/psychiatric disease (PR = 3.04; P < 0.0001), cancer (PR = 2.83; P = 0.0005), risk factors for CVD (PR = 2.42; P < 0.0001), symptoms of CVD (PR = 2.38; P = 0.0397), and respiratory disease (PR = 2.00; P < 0.0001). Independent risk factors (multivariate analysis) associated with PFPS (adjusted for age, sex, and race distance) were a higher chronic disease composite score (PR = 2.68 increased risk for every 2 additional chronic diseases; P < 0.0001) and a history of allergies (PR = 2.33; P < 0.0001). CONCLUSIONS: Novel independent risk factors associated with PFPS in distance runners are a history of multiple chronic diseases and a history of allergies. Identification of chronic diseases and allergies should be considered as part of the clinical assessment of a runner presenting with a history of PFPS.

Management of proximal rectus femoris injuries - do we know what we're doing?: A systematic review.

Rectus femoris (RF) injury is a concern in sports. The management RF strains/tears and avulsion injuries need to be clearly outlined. A systematic review of literature on current management strategies for RF injuries, and to ascertain the efficacy thereof by the return to sport (RTS) time and re-injury rates. Literature search using Medline via PubMed, WorldCat, EMBASE, SPORTDiscus. Eligible studies were reviewed. Thirty-eight studies involving hundred and fifty-two participants were included. Majority (n = 138; 91%) were males, 80% (n = 121) sustained RF injury from kicking and 20% (n = 31) during sprinting. The myotendinous (MT), (n = 27); free tendon (FT), (n = 34), and anterior-inferior iliac spine (AIIS), (n = 91) were involved. Treatment was conservative (n = 115) or surgical (n = 37) across the subgroups. 73% (n = 27) of surgical treatments followed failed conservative treatment. The mean RTS was shorter with successful conservative treatment (MT: 1, FT: 4, AIIS avulsion: 2.9 months). Surgical RTS ranged from 2-9 months and 18 months with labral involvement. With either group, there was no re-injury within 24 months follow-up. With low certainty of evidence RF injury occurs mostly from kicking, resulting in a tear or avulsion at the FT and AIIS regions with or without a labral tear. With low certainty, findings suggest that successful conservative treatment provides a shortened RTS. Surgical treatment remains an option for failed conservative treatment of RF injuries across all subgroups. High-level studies are recommended to improve the evidence base for the treatment of this significant injury.

The illness burden of gastrointestinal illness is two times higher if it is associated with systemic symptoms and signs: a cross-sectional study of the super rugby tournament over 5 seasons (102,738 player-days).

BACKGROUND: Gastrointestinal tract illness (GITill) in rugby players is underreported. The incidence, severity (% time loss illness, days lost per illness) and burden of GITill with/without systemic symptoms and signs in professional South African male rugby players during the Super Rugby tournament (2013-2017) are reported. METHODS: Team physicians completed daily illness logs of players (N.=537; 1141 player-seasons, 102738 player-days). The incidence (illnesses/1000 player-days, 95% CI), severity (% ≥1-day time-loss; days until return-to-play [DRTP]/single illness [mean: 95% CI]) and illness burden (IB: days lost to illness/1000 player-days) for the subcategories of GITill with/without systemic symptoms and signs (GITill+ss; GITill-ss), and gastroenteritis with/without systemic symptoms and signs (GE+ss; GE-ss) are reported. RESULTS: The incidence of all GITill was 1.0 (0.8-1.2). Incidence was similar for GITill+ss 0.6 (0.4-0.8) and GITill-ss 0.4 (0.3-0.5; P=0.0603). Incidence of GE+ss 0.6 (0.4-0.7) was higher than GE-ss 0.3 (0.2-0.4; P=0.0045). GITill caused ≥1-day time-loss in 62% of cases (GE+ss 66.7%; GE-ss 53.6%). GITill caused an average of 1.1 DRTP/single GITill, which was similar for subcategories. IB of GITill+ss was higher than GITill-ss (IB Ratio: 2.1 [1.1-3.9; P=0.0253]). IB for GITill+ss is 2 times higher than GITill-ss (IB Ratio: 2.1 [1.1-3.9]; P=0.0253); and GE+ss >3 times higher than GE-ss (IB Ratio: 3.0 [1.6-5.8]; P=0.0007). CONCLUSIONS: GITill accounted for 21.9% of all illnesses during the Super Rugby tournament, with >60% of GITill resulting in time-loss. The average DRTP/single illness was 1.1. GITill+ss and GE+ss resulted in higher IB. Targeted interventions to reduce the incidence and severity of GITill+ss and GE+ss should be developed.

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.

Trail running injury risk factors: a living systematic review.

OBJECTIVE: To review and frequently update the available evidence on injury risk factors and epidemiology of injury in trail running. DESIGN: Living systematic review. Updated searches will be done every 6 months for a minimum period of 5 years. DATA SOURCES: Eight electronic databases were searched from inception to 18 March 2021. ELIGIBILITY CRITERIA: Studies that investigated injury risk factors and/or reported the epidemiology of injury in trail running. RESULTS: Nineteen eligible studies were included, of which 10 studies investigated injury risk factors among 2 785 participants. Significant intrinsic factors associated with injury are: more running experience, level A runner and higher total propensity to sports accident questionnaire (PAD-22) score. Previous history of cramping and postrace biomarkers of muscle damage is associated with cramping. Younger age and low skin phototypes are associated with sunburn. Significant extrinsic factors associated with injury are neglecting warm-up, no specialised running plan, training on asphalt, double training sessions per day and physical labour occupations. A slower race finishing time is associated with cramping, while more than 3 hours of training per day, shade as the primary mode of sun protection and being single are associated with sunburn. An injury incidence range 0.7-61.2 injuries/1000 hours of running and prevalence range 1.3% to 90% were reported. The lower limb was the most reported region of injury, specifically involving blisters of the foot/toe. CONCLUSION: Limited studies investigated injury risk factors in trail running. Our review found eight intrinsic and nine extrinsic injury risk factors. This review highlighted areas for future research that may aid in designing injury risk management strategies for safer trail running participation.PROSPERO registration numberCRD42021240832.

Subjective Sleep Patterns and Jet Lag Symptoms of Junior Netball Players Prior to and During an International Tournament: A Case Study.

PURPOSE: To assess the impact of long-haul transmeridian travel on subjective sleep patterns and jet lag symptoms in youth athletes around an international tournament. METHODS: An observational descriptive design was used. Subjective sleep diaries and perceived responses to jet lag were collected and analyzed for a national junior netball team competing in an international tournament. Sleep diaries and questionnaires were completed daily prior to and during travel, and throughout the tournament. Results were categorized into pretravel, travel, training, and match nights. Means were compared performing a paired Student t test with significance set at P < .05. Data are presented as mean (SD) and median (minimum, maximum). RESULTS: Athletes reported significantly greater time in bed on match days compared with training (P < .001) and travel (P = .002) days, and on pretravel days compared with travel (P < .001) and training (P = .028) days. Sleep ratings were significantly better on pretravel days compared with match (P = .013) days. Perceived jet lag was worse on match (P = .043) days compared with pretravel days. Significant differences were also observed between a number of conditions for meals, mood, bowel activity, and fatigue. CONCLUSION: Youth athletes experience significantly less opportunity for sleep during long-haul transmeridian travel and face disruptions to daily routines during travel which impact food intake. Young athletes also experience disturbed sleep prior to and during competition. These results highlight the need for practices to alleviate jet lag symptoms and improve the sleep of young athletes traveling for tournaments in an effort to optimize recovery and performance.

The epidemiology of injury and illness at the Vitality Netball World Cup 2019: an observational study.

BACKGROUND: Netball is a physical game with sudden direction changes, decelerations, jumping and landing, stop/start maneuvers and restrictive footwork rules exposing players to injury. Close contact play and shared facilities during tournaments, increase illness risk.Objective: To describe incidence, period prevalence, types and severity of injuries and illnesses during the 10-day Vitality Netball World Cup 2019 (NWC).Methods: All players from 16 teams consented (n = 192). Medical staff recorded injuries (840 exposure hours), illnesses (1440 player-days) and time-loss. Main outcome measures included incidence (I) calculated as injury/1000 player-hours and illness/1000 player-days, period prevalence (PP) and severity (time-loss) of all match injuries and illnesses. RESULTS: 39 players sustained 46 match injuries (I = 54.76; PP = 20.31%). Lower limb injuries (I = 29.76), specifically the ankle (I = 13.10) were most common with lateral ankle ligament sprains the highest (I = 17.39). Contact injuries (I = 40.48) significantly exceeded non-contact injuries (I = 14.29; p = 0.0124). Center players sustained most injuries (n = 12; 26%; I = 14.29), followed by goalkeepers (n = 10; 22%; I = 11.90) and goal defenders (n = 8; 17%; I = 9.52). Injuries occurred in almost 50% of matches, and 67% did not result in time-loss. Time-loss injuries (n = 14; 33%) were most frequent in the lower limb (n = 10; 71%) specifically involved lateral ankle ligaments (n = 4; 29%), attributable to contact (n = 11; 79%) and mostly implicated center players and goal defenders (n = 4 each; 29% each). 11 players contracted 11 illnesses (I = 7.64; PP = 5.72%) with respiratory tract illness contributing 36%. Most illnesses did not result in time-loss (91%). CONCLUSION: This is the first study reporting injury and illness during an NWC. Contact was the main mechanism of injury, and 2/3 of injuries did not result in time-loss. The ankle is most commonly injured and center players sustain most injuries. Non-respiratory system disease was most frequent, but upper respiratory tract infection remains the most common diagnosis. Targeted surveillance studies using similar methodology are required to develop injury and illness preventative strategies in elite netball.

Longer race distance predicts gastrointestinal illness-related medical encounters in 153,208 endurance runner race starters - SAFER XVI.

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.

Managing Travel Fatigue and Jet Lag in Athletes: A Review and Consensus Statement.

Athletes are increasingly required to travel domestically and internationally, often resulting in travel fatigue and jet lag. Despite considerable agreement that travel fatigue and jet lag can be a real and impactful issue for athletes regarding performance and risk of illness and injury, evidence on optimal assessment and management is lacking. Therefore 26 researchers and/or clinicians with knowledge in travel fatigue, jet lag and sleep in the sports setting, formed an expert panel to formalise a review and consensus document. This manuscript includes definitions of terminology commonly used in the field of circadian physiology, outlines basic information on the human circadian system and how it is affected by time-givers, discusses the causes and consequences of travel fatigue and jet lag, and provides consensus on recommendations for managing travel fatigue and jet lag in athletes. The lack of evidence restricts the strength of recommendations that are possible but the consensus group identified the fundamental principles and interventions to consider for both the assessment and management of travel fatigue and jet lag. These are summarised in travel toolboxes including strategies for pre-flight, during flight and post-flight. The consensus group also outlined specific steps to advance theory and practice in these areas.

Days until return-to-play differ for sub-categories of acute respiratory tract illness in Super Rugby players: A cross-sectional study over 5 seasons (102,738 player-days).

OBJECTIVES: To document incidence rate and severity of specific sub-categories of respiratory tract illness (RTill) in rugby players during the Super Rugby tournament. DESIGN: Cross-sectional study. METHODS: Team physicians completed daily illness logs in 537 professional male rugby players from South African teams participating in the Super Rugby Union tournaments (2013-2017) (1141 player-seasons, 102,738 player-days). The incidence rate (IR: illness episodes/1000 player-days) and severity [%RTill resulting in time-loss, illness burden (IB: days lost to illness/1000 player-days) and days until return-to-play (DRTP)/single illness (mean: 95% Confidence Intervals)] are reported for the following specific sub-categories of RTill: non-infective respiratory tract illness (RTnon-inf), respiratory tract infections (RTinf), influenza-like illness, infective sinusitis, upper respiratory tract infections (URTinf), lower respiratory tract infections (LRTinf). RESULTS: The overall IR of RTill was 2.9 (2.6-3.3). IR was higher for RTinf (2.5; 2.2-2.9) vs. RTnon-inf (0.4; 0.3-0.6) (p < 0.001). For sub-categories the highest IR was in URTinf (1.9; 1.7-2.2), while the % illness causing time-loss was influenza-like illness (100%), LRTinf (91.7%), infective sinusitis (55.6%), and URTinf (49.0%). IB was highest for URTinf (2.0; 1.6-2.5), and the DRTP/single illness was highest for LRTinf (3.2; 2.3-4.4), and influenza-like illness (2.1; 1.6-2.8). CONCLUSIONS: RTinf accounted for >57% of all illness during the Super Rugby tournament, and mostly URTinf. Influenza-like illness. LRTinf caused time-loss in >90% cases. URTinf, LRTinf and influenza-like illness resulted in the highest burden of illness and LRTinf caused the highest DRTP. Prevention strategies should focus on mitigating the risk of RTinf, specifically URTinf, LRTinf and influenza-like illness.

One in four trail running race entrants sustained an injury in the 12 months training preceding the 2019 SkyRun race.

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.

Nowhere to hide: The significant impact of coronavirus disease 2019 (COVID-19) measures on elite and semi-elite South African athletes.

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.

How to manage travel fatigue and jet lag in athletes? A systematic review of interventions.

OBJECTIVES: We investigated the management of travel fatigue and jet lag in athlete populations by evaluating studies that have applied non-pharmacological interventions (exercise, sleep, light and nutrition), and pharmacological interventions (melatonin, sedatives, stimulants, melatonin analogues, glucocorticoids and antihistamines) following long-haul transmeridian travel-based, or laboratory-based circadian system phase-shifts. DESIGN: Systematic review Eligibility criteria Randomised controlled trials (RCTs), and non-RCTs including experimental studies and observational studies, exploring interventions to manage travel fatigue and jet lag involving actual travel-based or laboratory-based phase-shifts. Studies included participants who were athletes, except for interventions rendering no athlete studies, then the search was expanded to include studies on healthy populations. DATA SOURCES: Electronic searches in PubMed, MEDLINE, CINAHL, Google Scholar and SPORTDiscus from inception to March 2019. We assessed included articles for risk of bias, methodological quality, level of evidence and quality of evidence. RESULTS: Twenty-two articles were included: 8 non-RCTs and 14 RCTs. No relevant travel fatigue papers were found. For jet lag, only 12 athlete-specific studies were available (six non-RCTs, six RCTs). In total (athletes and healthy populations), 11 non-pharmacological studies (participants 600; intervention group 290; four non-RCTs, seven RCTs) and 11 pharmacological studies (participants 1202; intervention group 870; four non-RCTs, seven RCTs) were included. For non-pharmacological interventions, seven studies across interventions related to actual travel and four to simulated travel. For pharmacological interventions, eight studies were based on actual travel and three on simulated travel. CONCLUSIONS: We found no literature pertaining to the management of travel fatigue. Evidence for the successful management of jet lag in athletes was of low quality. More field-based studies specifically on athlete populations are required with a multifaceted approach, better design and implementation to draw valid conclusions. PROSPERO registration number The protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO: CRD42019126852).