Literature DB >> 22522588

Determination of future prevention strategies in elite track and field: analysis of Daegu 2011 IAAF Championships injuries and illnesses surveillance.

Juan-Manuel Alonso1, Pascal Edouard, Giuseppe Fischetto, Bob Adams, Frédéric Depiesse, Margo Mountjoy.   

Abstract

OBJECTIVE: To determine the incidence and characteristics of newly incurred injuries and illnesses during international Athletics Championships, by improving the medical surveillance coverage, in order to determine future prevention strategies.
DESIGN: Prospective recording of newly occurred injuries and illnesses.
SETTING: 13th International Association of Athletics Federations World Championships in Athletics 2011 in Daegu, Korea. PARTICIPANTS: National team and Local Organising Committee physicians; and 1851 registered athletes. MAIN OUTCOME MEASURES: Incidence and characteristics of newly incurred injuries and illnesses.
RESULTS: 82% of athletes were covered by medical teams participating with a response rate of 94%. A total of 249 injuries were reported, representing an incidence of 134.5 injuries per 1000 registered athletes, and 119 (48%) resulted in time loss from sport. A total of 185 injuries affected the lower limb (74%). Hamstring strain was the main diagnosis and 67% resulted in absence from sport. Overuse (n=148; 59%) was the predominant cause. A total of 126 illnesses were reported, signifying an incidence of 68.1 per 1000 registered athletes. Upper respiratory tract infection was the most common reported diagnosis (18%), followed by exercise-induced dehydration (12%), and gastroenteritis/diarrhoea (10%). The highest incidences of injuries were found in combined events and middle and long-distance events, and of illness in race walking events.
CONCLUSION: During elite Athletics World Championships, 135 injuries, 60 time-loss injuries and 68 illnesses per 1000 registered athletes were reported. Higher risks of injuries were found in combined events and long-distance runs. Preventive interventions should focus on overuse injuries and hamstring strains, decreasing the risk of transmission of infectious diseases, appropriate event scheduling and heat acclimatisation.

Entities:  

Mesh:

Year:  2012        PMID: 22522588      PMCID: PMC3371221          DOI: 10.1136/bjsports-2012-091008

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


Introduction

Track and field (athletics) is both a popular and global sport. Competition in top-level athletics poses risk of suffering from injuries and illnesses as our research group has already published.1–3 The protection of the athletes' health is an important task for the International Olympic Committee (IOC) and the International Association of Athletics Federations (IAAF)1–5 and systematic injury and illness surveillance has been developed during track and field events,1 2 in order to determine direction for injury and illness prevention following the four-stage model of van Mechelen et al.6 Injury incidence during international athletics competitions is high: 10%–14% of athletes incurred an injury during the Championships, and half of these were expected to result in time loss from sport.1–3 Therefore, introducing prevention strategies focused on the most relevant injuries (high frequency and/or severity), adapted to their mechanisms and risk factors, is of interest.6 7 In addition, approximately 7% of athletes incurred an illness during the 2009 IAAF Championships; 50% lead to time loss from sport.2 This rate was comparable to those reported in similar top-level competitions.5 8 9 Since reduced illness rates have been reported to be associated with higher team performance during the Winter Olympic Games 2010 for the Norwegian team,10 illness-prevention strategies should be an objective for athletes, National Federations and National Olympic Committees, and is congruent with the IOC and IAAF's objective to protect athlete's health. Therefore, in keeping with this context, the aim of this study was to improve the medical surveillance system through the identification of the incidence and characteristics of newly incurred injuries and illnesses during track and field international Championships, in order to determine future prevention strategies.

Methods

Implementation

The present study used the methodology of injury and illness surveillance validated by the IOC,4 and implemented by the IAAF during international track and field competitions,1 2 during the period of the Daegu 2011 IAAF World Championships (27 August to 4 September). The research group repeated the implementation stages taken at previous surveillances and described elsewhere.1 2 In addition, three volunteers from the local Organising Medical Staff participated in the data collection and helped the authors (JMA, GF, FD and BA) with daily interviews of participating team physicians, quality review of the daily reports, and data input. The issue of duplicate reporting was solved by the consensus of two authors (PE and JMA); information from the national team physician's report was preferred over the Local Organising Committee (LOC) physician's report.

Definitions of Injury and Illness

The study followed the injury and illness definition criteria published previously.1 2 4 9

Injury and illness report form

The injury and illness report form was used in previous studies and has already been published.1–5 The injury location classification has been improved in order to distinguish anterior and posterior and/or medial and lateral location for upper and lower extremity injuries. Although this form was available in several languages, English reporting was encouraged.

Confidentiality and ethical approval

The athletes' accreditation number was used only to avoid duplicate reporting from team and LOC physicians and to provide information on age, gender and national federation of the athlete from the IAAF database. All injury and illness reports were stored in a locked filing cabinet and were made anonymous after the Championships. Confidentiality of all information was ensured so that no individual athlete or team could be identified. Ethical approval was obtained from the Oslo University School of Medicine Ethical Committee.

Data analysis

The response rate and coverage, the number of registered athletes (population at risk), competing athletes (athletes exposed to the competition) and participations (athletes' exposure in competition) were calculated using a list of athletes registered for the Championships provided by the IAAF and the competition schedule published on the internet (http://daegu2011.iaaf.org/index.html). The incidence of injury and illness were calculated in accordance with the IOC approach4 and previous track and field studies.1 2 The gender, age (≤20 years of age, 21–25 years, 26–30 years, ≥31 years), severity (time-loss, no time-loss), circumstance (training, competition) and type of event were analysed for risk evaluation. Statistical methods applied were means with SD and t-test for age values, and frequencies, cross-tabulations, and χ2-test for injury and illness data. All data were processed using excel. Significance was accepted at p≤0.05.

Results

Coverage and response rate of the injury and illness surveillance system

All countries with more than 15 registered athletes (n=61; 30.3% of 201 national teams) participated in this study covering 1512 athletes (81.7% of 1851 registered). Coverage and response rate are reported in table 1. The number of injuries reported by the national medical teams was significantly higher than those reported by the LOC physicians (148/116, respectively; χ2=8.3; p=0.004), and the number of illnesses was similar (64/76, respectively; χ2=2.7; p=0.1). Fifteen injuries and 14 illnesses were reported from both sources. Among athletes covered by national medical teams participating in this study, 27% of injuries and 24% of time-loss injuries and 26% of illnesses and 4% of time-loss illnesses were reported only by the LOC physicians and not reported by national medical teams.
Table 1

Coverage and response rate of the injury and illness surveillance system during IAAF World Athletics Championships.

Daegu 2011Berlin 20092Osaka 20071
Total number of countries201200200
Total number of registered athletes185119791980
Number of medical teams participating in the injury and illness surveillance (%)61(30.3)47(23.5)49(24.5)
Number of athletes covered (%)1512(81.7)1486(75.1)1660(84.0)
Comparisons with Daegu 2011 surveillanceχ2=24.5; p<0.001χ2=3.1; p=0.08
Number of report forms returned (response rate in %)515(93.8)382(90.3)333(76.0)
Comparisons with Daegu 2011 surveillanceχ2=4.1; p=0.04χ2=66.6; p<0.001
Coverage and response rate of the injury and illness surveillance system during IAAF World Athletics Championships.

Frequency and characteristics of injury

A total of 249 injuries were reported, representing an incidence of 134.5 injuries per 1000 registered athletes (95% CI 119.0 to 150.1), and 78.1 injuries per 1000 athlete participations (95% CI 68.7 to 87.4) (table 2). A total of 237 injury incidents with 246 injured body parts (three cases missing location) and 248 injury types (one case missing injury type) were reported.
Table 2

Athletes, exposure, injury and illness in different event groups

SprintsHurdlesMiddle distancesLong distancesRace walkingJumpsThrowsCombined eventsTotal
Population
 Registered athletes820143142229143251240591851
 Competing athletes737143141225141263239581947
 Athletes participations11342632452561413643364513190
Injuries
 Number of injuries6918254318352417249
 Training12474074240
 Competition288153116181014140
 NA2963821010169
 Injuries per 1000 registered athletes84.1125.9176.1187.8125.9139.4100288.1134.5
 Injuries per 1000 athlete participations60.868.4102168127.796.271.437.778.1
 Injuries during competition per 1000 competing athletes38.055.9106.4137.8113.568.441.8241.471.9
 Injuries during competition per 1000 athlete participations24.730.461.2121.1113.549.529.831.043.9
Time-loss injuries*
 0 days207181281011894
 1–7 days205322596474
 8–28 days82254102437
 >4 weeks320101007
 Time-loss injuries per 1000 registered athletes37.862.935.2122.362.979.733.3135.664.2
 Time-loss injuries per 1000 athlete participations27.334.220.4109.463.854.923.817.737.3
 Time-loss injuries during competition1631208142771
 Time-loss injuries during competition per 1000 competing athletes21.721.07.188.956.753.28.4120.736.5
 Time-loss injuries during competition per 1000 athlete participations14.111.44.178.156.738.56.015.522.3
Illnesses
 Number of illnesses43117201713141126
 Illnesses per 1000 registered athletes52.476.949.387.3118.951.858.316.968.1
 Illnesses per 1000 competing athletes58.376.949.688.9120.649.458.617.29.2
 Illnesses per 1000 athlete participations37.941.828.678.1120.635.741.72.239.5
 Number of time-loss illnesses7332404023

Information on time-loss is missing for 36 injuries, for one time-loss injury the time of absence in sport was not reported.

Since some athletes competed in more than one discipline, this is not the sum of registered athletes in each different event groups but the total number of registered athletes.

Athletes, exposure, injury and illness in different event groups Information on time-loss is missing for 36 injuries, for one time-loss injury the time of absence in sport was not reported. Since some athletes competed in more than one discipline, this is not the sum of registered athletes in each different event groups but the total number of registered athletes. Affected body parts, types and injury diagnoses are reported in table 3. The lower limb was affected in 74.3% of injuries (n=185). The thigh was the most frequently injured (n=67; 26.9%) with posterior thigh (hamstring) involved in 58 cases (23.3% of all injuries). The most frequent types of injury were strains (n=77; 30.9%), followed by sprains (n=54; 21.7%), muscle cramps (n=43; 17.3%) and skin laceration (n=23; 9.2%). The most common diagnosis was hamstring strain (n=39; 15.7%).
Table 3

Number (%) and diagnosis of all injuries and time-loss injuries in male and female athletes

InjuriesTime-loss injuries
Total% of injuriesMale% of injuriesFemale% of injuriesTotal%Male%Female%
All (injury events)2481001461001001001191007210046100
Head-neck (1–3)31.221.411.010.811.400.0
 Concussion00.00.00.00.00.00.0
 Strain20.810.711.010.811.40.0
 Contusion10.410.70.00.00.00.0
Trunk (4–8)3413.72013.71313.01411.8912.548.7
 Sprain41.610.733.021.711.412.2
 Strain62.442.722.00.00.00.0
 Contusion20.821.40.021.722.80.0
 Arthritis31.210.722.00.00.00.0
 Impingement10.410.70.00.00.00.0
 Laceration10.40.011.00.00.00.0
 Nerve injury10.410.70.010.811.40.0
 Muscle cramps*145.685.555.097.656.936.5
 Others20.821.40.00.00.00.0
Upper extremity (11–18)249.6128.21212.097.656.948.7
 Fracture10.40.011.010.80.012.2
 Other bone injury10.410.70.010.811.40.0
 Dislocation10.410.70.00.00.00.0
 Sprain104.064.144.043.434.212.2
 Strain20.810.711.010.811.40.0
 Contusion31.210.722.010.80.012.2
 Tendinosis10.40.011.00.00.00.0
 Laceration52.021.433.010.80.012.2
Hip (21)41.621.422.021.711.412.2
 Strain20.80.022.010.80.012.2
 Tendinosis10.410.70.010.811.40.0
 Laceration10.410.70.00.00.00.0
 Groin (22)124.8106.822.097.6912.500.0
 Strain93.685.511.075.979.70.0
 Tendinosis20.821.40.021.722.80.0
 Fasciitis10.40.011.00.00.00.0
Thigh (23)6726.94832.91919.02722.71825.0919.6
 Sprain62.432.133.00.00.00.0
 Strain4116.53221.999.01815.11419.448.7
 Tendinosis10.40.011.010.80.012.2
 Laceration31.221.411.00.00.00.0
 Muscle cramps156.0117.544.075.945.636.5
 Others10.40.011.010.80.012.2
Knee (24)2911.6149.61515.086.757.036.5
 Tendon rupture10.410.70.010.811.40.0
 Sprain124.864.166.021.722.80.0
 Lesion of meniscus or cartilage20.821.40.00.00.00.0
 Strain10.410.70.010.811.40.0
 Contusion41.610.733.021.711.412.2
 Tendinosis31.210.722.00.00.00.0
 Arthritis10.40.011.010.80.012.2
 Laceration20.80.022.00.00.00.0
 Muscle cramps20.821.40.00.00.00.0
 Others10.40.011.010.80.012.2
Lower leg (25)3012.01711.61313.01916.01013.9919.6
 Stress fracture10.40.011.010.80.012.2
 Sprain10.40.011.010.80.012.2
 Strain114.464.155.075.956.924.3
 Contusion20.821.40.00.00.00.0
 Sprain41.632.111.032.534.20.0
 Strain10.40.011.010.80.012.2
 Tendinosis31.210.722.010.80.012.2
 Laceration*20.80.00.00.00.00.0
 Muscle cramps10.410.70.010.811.40.0
Ankle (27)187.285.51010.01411.856.9919.6
 Sprain156.064.299.01210.145.6817.4
 Strain10.40.011.010.80.012.2
 Contusion10.410.70.00.00.00.0
 Muscle cramps10.410.70.010.811.40.0
Foot (28)156.074.888.097.645.6510.9
 Fracture10.40.011.00.00.00.0
 Stress fracture10.40.011.00.00.00.0
 Sprain10.40.011.010.80.012.2
 Contusion52.032.122.043.422.824.3
 Tendinosis10.40.011.010.80.012.2
 Fasciitis10.410.70.00.00.00.0
 Laceration31.221.411.010.811.40.0
 Muscle cramps10.410.70.010.811.40.0
 Other10.40.011.010.80.012.2
NA20.810.711.010.811.400.0
 Sprain10.410.70.00.00.00.0
 Strain10.40.011.00.00.00.0
 Muscle cramps10.410.70.010.811.40.0

Information on gender is missing for two injuries and for one time-loss injury; and on location is missing for two injuries.

Information on time-loss is missing for 36 injuries, for one time-loss injury the time of absence in sport was not reported

Number (%) and diagnosis of all injuries and time-loss injuries in male and female athletes Information on gender is missing for two injuries and for one time-loss injury; and on location is missing for two injuries. Information on time-loss is missing for 36 injuries, for one time-loss injury the time of absence in sport was not reported

Circumstance, causes and severity of injury

Most of the injuries occurred during competition (n=140; 56.2%); almost half during finals (n=69) and 40 injuries occurred during training (16.1%). This information, however, was missing for 69 injuries (27.7%). Injuries in competition and during training were similar with respect to injury location and proportion of time loss but significant differences were observed for injury type (χ2=21.7; p=0.001) and cause (χ2=24.5; p=0.001), especially for overuse injuries with sudden onset (32.4±8.1 vs 3.8±2.8 injuries per 1000 registered athletes, respectively). Injury risk during finals was significantly higher than during qualifying rounds (χ2=5.9; p=0.02). Overuse injuries were dominant (n=148; 59.4%), with both gradual (n=57; 22.9%) and sudden onset (n=91; 36.5%), followed by non-contact trauma (n=31; 12.4%) and recurrence of previous injury (n=23; 9.2%). Almost three-quarters (n=17) of recurrent injuries reported required time loss from sport; up to 4 weeks for one athlete. Information in relation to time loss after injury was available for 213 out of 249 injuries (85.5%; missing for 36 cases). One hundred and nineteen injuries (47.6% of all injuries) were expected to result in time loss, representing an incidence of 64.2 injuries per 1000 registered athletes (95% CI 53.1 to 75.5), and 37.3 injuries per 1000 athlete participations (95% CI 30.7 to 43.9) (table 2). The most common time-loss injury diagnosis was hamstring strain (n=18; 15.3%) (table 3). Injuries with and without subsequent time loss differed significantly in location (χ2=23.1; p=0.01), but not in type and cause of injury. Physician's estimations of absence from sport were reported in table 2. The seven injuries with more than 4 weeks absence were as follows: two Achilles tendon sprains, an ankle sprain, a groin strain, a lower leg strain, a lower leg stress fracture and a thoracic spine muscle cramp. In addition, a knee anterior tendon rupture was reported, but information on duration of absence was missing for this injury.

Age, sex and sport of the injured athletes

The age of the injured athletes ranged between 17 and 42 years (mean, 26.9±4.7; missing: 4) without significant difference between males and females (p=0.07). Male athletes suffered more injuries (59.0%) than female athletes (40.2%) (χ2=4.17; p=0.04; 148.5±22.2 vs 116.1±21.4 per 1000 registered athletes, respectively; missing: 2), but no differences in time-loss injury and recurrence of previous injury incidences were reported. The injuries of males and females were similar regarding location, cause, severity and circumstances but differed significantly for type of injury (χ2=91.5; p<0.001); specifically for strains (28.6±7.6 vs 13.0±5.2, respectively) and muscles cramps (17.3±5.9 vs 5.4±3.3, respectively). Male athletes suffered more hamstring strain than female athletes (χ2=7.7; p=0.006; 16.7±5.8 vs 4.3±3, respectively). Most injuries occurred in athletes older than 30 years of age (χ2=12.0; p=0.008; 198.4±48.8 vs 120.7±48.4, 115.5±22.3 and 130.2±26.3 injuries per 1000 registered athletes, for younger than 20 years, 21 years to 25 years and 26 years to 30 years, respectively). The injuries differed significantly by age for location (χ2=46.5; p=0.03) and cause (χ2=21.1; p=0.05), but were similar regarding injury type and severity. The incidence of injuries (χ2=40.9; p<0.001) and time-loss injuries (χ2=36.1; p<0.001) differed significantly between disciplines (tables 2 and 4). Athletes performing in combined events (288.1±115.5), in middle- and long-distance events (183.3±39.4) had the highest propensity to incur an injury, while athletes performing in combined events (135.6±87.4), and in long-distance events (122.3±42.4) were more likely to incur a time-loss injury.
Table 4

Number of registered athletes, injuries and injury risk of different events

No. of registered athletes per disciplineNo. of injuries per disciplineNo. of time-loss injuries per disciplineInjury per 1000 registered athletesTime-loss injuries per 1000 registered athletes
MenWomenMenWomenMenWomenMenWomenMenWomen
Discipline
100 m757411340146.740.553.30
200 m55417221127.348.836.424.4
400 m4138442397.6105.348.878.9
800 m4436351268.2138.922.755.6
4×100 m relay1181114103333.990.125.427.0
4×400 m relay87100884692.280.046.660.0
110 m/100 m hurdles32394825125.0205.162.5128.2
400 m hurdles*3438231158.878.929.426.3
1500 m393512632307.7171.476.957.1
3000 m steeplechase35334300114.390.900
5000 m41248453195.1166.7122.0125.0
10 000 m2119211195.252.647.652.6
Marathon68561612153235.3214.3220.653.6
20 km walk47509312191.560.021.340.0
50 km walk46660130.4130.4
Discus throw33244111121.241.730.341.7
Hammer throw35304120114.333.357.10
Javelin throw*37287530189.2178.681.10
Shot put28250100040.000
High jump19292413105.3137.952.6103.4
Pole vault29358533275.9142.9103.485.7
Long jump37368252216.255.6135.155.6
Triple jump32344212125.058.831.358.8
Decathlon30106333.3200.0
Heptathlon2973241.4103.4
Total10639641471007246138.3103.767.747.7

Information on gender is missing for two injuries (one in 400 m hurdles and one in javelin throw).

Since some athletes competed in more than one discipline, this is not the sum of individual athletes.

Number of registered athletes, injuries and injury risk of different events Information on gender is missing for two injuries (one in 400 m hurdles and one in javelin throw). Since some athletes competed in more than one discipline, this is not the sum of individual athletes.

Frequency and characteristics of illness

A total of 126 illnesses were reported, equivalent to an incidence of 68.1 illnesses per 1000 registered athletes (95% CI 56.6 to 79.5), 39.5 illnesses per 1000 athlete participations (95% CI 32.7 to 46.3) and 7.6 illnesses per 1000 athlete days (95% CI 6.2 to 8.9) (table 2). Affected systems, main symptoms and main diagnoses are reported in table 5. More than a third of the illnesses affected the respiratory and ear, nose, throat tract (n=49; 38.9%). In 19.0% of the cases, the affected system of illness was classified as ‘other’; information was missing in one case. The most commonly reported symptom was pain (n=39; 28.5%); eight symptoms were missing and 19% were reported as ‘other’. No episodes of cardiovascular-related collapses and syncope were recorded; only two illnesses affected the cardiovascular system as heat exhaustion. The most commonly reported cause was infection (n=12; 27.8%), followed by exercise induced (n=22; 17.5%) and environmental (n=17; 13.5%); 10 causes of illnesses were missing and 27.0% were reported as ‘other’. Upper respiratory tract infection was the most commonly reported diagnosis (n=23; 18.4%), followed by exercise-induced dehydration (n=15; 12%), and gastroenteritis/diarrhoea (n=13; 9.5%).
Table 5

Number (%) and diagnosis of all illnesses and time-loss illnesses in male and female athletes

IllnessesTime-loss illnesses
Total% of illnessesMale%Female%NATotal%Male%Female%
All illnesses13710069100681000271001310014100
Gastrointestinal (1)*2115.3811.61319.10829.6215.4642.9
 Pain53.611.445.927.400.0214.3
 Diarrhoea/Vomiting139.568.7710.3622.2215.4428.6
 Other32.211.422.90.00.00.0
Uro-genital (2)32.200.034.4000.000.000.0
 Pain21.50.022.90.00.00.0
 NA10.70.011.50.00.00.0
Respiratory/ear, Nose, throat (3)*5540.13043.52536.80933.3646.2321.4
 Fever107.368.745.9311.1215.417.1
 Pain1510.9913.068.827.417.717.1
 Dyspnoea/cough128.8710.157.4311.1215.417.1
 Hyperthermia21.511.411.513.717.70.0
 Lethargy10.70.011.50.00.00.0
 Other107.345.868.80.00.00.0
 NA53.634.322.90.00.00.0
Cardiovascular (4)21.522.900.0027.4215.400.0
 Dehydratation/exsiccosis10.711.40.013.717.70.0
 Collapse/(near) syncope10.711.40.013.717.70.0
Neurological (5)*128.868.768.80311.1215.417.1
 Pain53.645.811.513.717.70.0
 Hyperthermia10.70.011.50.00.00.0
 Dehydration10.70.011.50.00.00.0
 Syncope10.70.011.50.00.00.0
 Lethargy10.70.011.50.00.00.0
 Other32.222.911.527.417.717.1
Dermatological (6)85.845.845.9013.700.017.1
 Pain10.711.40.00.00.00.0
 Other75.134.345.913.70.017.1
Musculoskeletal (7)32.211.422.9000.000.000.0
 Pain32.211.422.90.00.00.0
Dental (8)75.157.222.9000.000.000.0
 Pain53.645.811.50.00.00.0
 Other10.711.40.00.00.00.0
 NA10.70.011.50.00.00.0
Other (9)*2518.21217.41319.10414.817.7321.4
 Fever21.511.411.50.00.00.0
 Pain32.222.911.50.00.00.0
 Hyperthermia21.50.022.90.00.00.0
 Dehydration139.5710.168.8311.117.7214.3
 Syncope10.70.011.50.00.00.0
 Lethargy21.50.022.913.70.017.1
 Other21.522.90.00.00.00.0
 NA10.711.40.00.00.00.0

Since some illnesses presented more than one symptom, the sum of illness and time-loss illnesses is higher than actually reported.

Number (%) and diagnosis of all illnesses and time-loss illnesses in male and female athletes Since some illnesses presented more than one symptom, the sum of illness and time-loss illnesses is higher than actually reported. Twenty-three illnesses (18.3%) were expected to result in time loss, equivalent to an incidence of 12.4 illnesses per 1000 registered athletes (95% CI 7.4 to 17.5) and 7.2 illnesses per 1000 athlete participations (95% CI 4.3 to 10.1). Gastroenteritis/diarrhoea was the most commonly reported diagnosis (n=6; 26.1%), followed by upper respiratory tract infection (n=5; 21.7%) and exercise-induced dehydration (n=4; 17.4%) (table 5). Illnesses with and without subsequent time loss differed significantly in affected system (χ2=18.5; p=0.02) and in main symptoms (χ2=111.3; p<0.001), but not in cause of illness. No differences in illness and time-loss illness incidence were reported between male and female athletes. The illnesses of males and females were similar regarding affected system, cause, and severity of injury, but differed significantly for main symptoms (χ2=21.9; p=0.001). The illnesses were similar between different categories of age regarding the incidence, affected systems, main symptoms, causes and severity of illnesses. Illness incidence differed significantly between disciplines (χ2=15.2; p=0.03), but not the incidence of time-loss illnesses (χ2=10.8; p=0.15) (tables 2 and 6). Athletes performing in race walking (118.9±53.0) had the highest propensity to incur an illness.
Table 6

Number of registered athletes, illnesses and illness risk of different events

No. of registered athletes per disciplineNo. of illnesses per disciplineNo. of time-loss illnesses per disciplineIllnesses per 1000 registered athletesTime-loss illnesses per 1000 registered athletes
MenWomenMenWomenMenWomenMenWomenMenWomen
Discipline
100 m7574450153.367.6013.5
200 m55417110127.324.418.20
400 m4138431197.678.924.426.3
800 m443603010.083.3027.8
4×100 m relay118111232016.927.016.90
4×400 m relay8710010100114.910.000
110 m/100 m hurdles3239140131.3102.6025.6
400 m hurdles3438241158.8105.329.426.3
1500 m39354121102.628.651.328.6
3000 m3533110028.630.300
5000 m4124300073.2000
10 000 m2119120047.6105.300
Marathon6856680288.2142.9035.7
20 km walk4750280242.6160.0040.0
50 km walk46-720152.2-43.5
Discus throw3324110030.341.700
Hammer throw3530220157.166.7033.3
Javelin throw37284221108.171.454.135.7
Shot put28250200080.000
High jump19292300105.3103.400
Pole vault29350200057.100
Long jump3736230054.183.300
Triple jump3234100031.3000
Decathlon300000
Heptathlon291053.334.567.60
Total*106396466601112127.324.410.312.4

Since some athletes competed in more than one discipline, this is not the sum of individual athletes.

Number of registered athletes, illnesses and illness risk of different events Since some athletes competed in more than one discipline, this is not the sum of individual athletes.

Discussion

This study aimed, by improving the medical surveillance coverage, to improve the medical surveillance system through the identification of the incidence and characteristics of newly incurred injuries and illnesses during track and field international Championships in order to prioritise strategies for injury and illness prevention. This was the third injury and the second illness survey during IAAF World track and field Championships.

Data-collection procedures

Medical team participation during Daegu 2011 Championships was similar to Osaka 20071 and higher than during Berlin 2009;2 the response rate was higher than during Osaka 20071 and Berlin 20092 (table 1). These results are consistent with our aim to improve medical surveillance coverage, which can be further improved in future studies to achieve higher compliance rates similar to those from other international events.3 8 Moreover, the report form was completed with few missing values, suggesting that the injury surveillance system is comprehensive and convenient. However, despite the encouraging response rate from the team physicians, the quality and completeness of the reported data still remains unknown. Indeed, Florenes et al11 and Bjorneboe et al12 reported that prospective surveillance medical staff underestimated 39% and 19% of injuries and time-loss injuries, respectively. In our study, 27% of injuries, 24% of time-loss injuries and 26% of illnesses were underestimated by the national medical teams. Thus, other tools should be used to improve the completeness of data (retrospective interview of athletes, media monitoring or web-based system).12 Further studies are needed to determine the accuracy of this system in track and field events.

Incidence and diagnosis of injuries

The injury incidence during the Daegu 2011 Championships was almost equal to that reported during the Berlin 2009 Championships2 (134.5 and 135.4 injuries per 1000 registered athletes, respectively). These results suggest that the injury incidence during Osaka 2007, which was the first experience of surveillance, was probably underestimated.1 Using data from the last four international Athletics events,1–3 the estimated injury incidence during elite Athletics Championships is 119.6 injuries per 1000 registered athletes (95% CI 112.5 to 126.8), although 135 injuries per 1000 registered athletes appeared to be a realistic injury incidence. The time-loss injury incidence during Daegu 2011 (64.3% of registered athletes) was higher than during Berlin 2009 (46.5% of registered athletes; χ2=5.8; p=0.02)2 and similar to during Osaka 2007 (53%).1 Using data from the last four international Athletics events,1–3 estimated time-loss injury incidence during elite Athletics Championships is 59.3 injuries per 1000 registered athletes (95% CI 54.1 to 64.5) and represents half of all injuries. During elite Athletics Championships, male athletes suffered more injuries than female athletes.1 2 The influence of age on injury risk remains unclear; during Berlin 2009, most injuries occurred to athletes between 26 and 30 years of age,2 and during Daegu 2011 to athletes more than 30 years of age. The circumstances of injury during elite Athletics Championships revealed that most injuries occurred during competition (56.2% to 85.9%).1 2 These findings are consistent with the fact that during Championships, most of the time is spent in competition compared with the entire track and field season during which, most of the time is spent in training.13 14 The risk of injury varied substantially between the disciplines with athletes competing in combined events, steeplechase and middle- and long-distance runs having the highest risk.1 2 In these events, although the intensity of exercise is lower than during other events, the time spent in training and/or in competition is longer. Overuse also might have a facilitating influence in these events more than in others. This higher injury and time-loss injury risk in combined events is consistent with results of previous studies.1 2 15 16 This finding may be explained by the number and intensity of the events and the high demand from both physical and psychological standpoints.15–17 Therefore, the biomechanical and/or metabolic demands of these events need to be better understood to direct strategies for injury prevention. During elite Athletics Championships, the most common diagnosis was thigh strain (14–17%), and especially hamstring strain (16%); 46% of them leading to time loss from sport. Changes in the reporting system allowed us to distinguish between anterior and posterior thigh injuries. Specific studies have suggested that hamstring mechanics during sprint,18 strength imbalances,19 flexibility, fatigue, age, ethnicity (particular racial or anatomical predisposition) and severity of previous injury20 play a role in occurrence of track and field hamstring strain.21 However, the exact biomechanics and contribution of hamstring during sprint remain unknown and is debated.21 Indeed, a recent publication advocates that hamstring peak force occurs in the stride cycle during terminal swing which suggests a focus on hamstring strengthening exercises, especially involving eccentric contractions performed with high loads at long muscle-tendon lengths.18 However, since hamstring and opposing forces are higher in early stance than in late swing, concentric contractions in close chain with high loads could also be of interest.22 The quick change in the contraction mode (eccentric to concentric) with a concomitant significant increase in hamstring applied forces may represent a stage of fragility during the sprinting cycle. Further studies on hamstring strains, such as in team sports,23–25 should be a priority of track and field injury-prevention research to better understanding the mechanisms and risk factors in order to determine and evaluate the efficacy of adapted prevention measures. Other main injuries were lower leg strain (5–9%), ankle sprain (3–6%) and trunk muscle cramps (6%),1 2 and in agreement with previous studies, the majority of injuries were caused by overuse.1 2 13 26 Thus, appropriate prevention strategies for overuse injuries should also be implemented including the recording of overuse injuries throughout the season to better determine the overuse injury prevalence,27 precociously treating acute injuries, eliminating periods of overtraining and improving preventive strengthening and recovery programs. No concussion or anterior cruciate ligament ruptures were reported in contrast with other sports where these major time-loss injuries are frequent.3 5

Incidence and diagnosis of illnesses

The incidence of illnesses during the Daegu 2011 Championships was equal to that reported during the Berlin 2009 Championships2 (7.6 injuries per 1000 athlete days). This rate is also similar to those reported in other international sport events.5 8 9 The distribution of affected systems, main symptoms and causes was similar between the Daegu 2011 and Berlin 2009 Championships.2 Athletes performing in race walking presented a higher incidence of illness, as was reported during the Berlin 2009 Championships.2 During elite Athletics Championships, around 35%–38% of illnesses affected the upper respiratory tract and 15% the gastrointestinal system. Around 30% of illnesses lead to pain, 10% to diarrhoea/vomiting and 10% to fever and around 30% of illnesses were caused by infection, while 20%–30% were exercise induced. Surprisingly, our results reported only 1.5% of illnesses from cardiovascular system illnesses compared with 22.2% during Berlin 2009.2 This difference could be explained by the difficulty of physicians to record systemic pathologies (dehydration, for example), and by the fact that 19% of illness affected system were classified as ‘other’ in the present study. However, only one cardiovascular-related collapse was reported during Daegu 2011 versus seven during Berlin 2009,2 possibly due to the implementation of prevention strategies. Dehydration was higher during Daegu 2011 (10% of symptoms) most likely related to weather conditions. Preventive measures should be implemented in further Championships with similar climatic circumstances. The most common diagnosis was upper respiratory tract infection, in agreement with the Berlin 2009 results, but with a lower rate (18.4% vs 30.4%, respectively).2 These findings are consistent with data from other elite sporting events.2 5 8 9 Indeed, upper respiratory tract infections are more common in elite athletes than in non-competitive athletes.28 29 The addition of stress and the intensity of competition could explain this high rate of upper respiratory tract infections. Temperature and humidity changes between athletes' accommodation, outdoor, warm-up area, call room or stadium could also play a role. Gastroenteritis and dehydration were also commonly reported during elite Athletics Championships (around 10% and 12%–17%, respectively).2 Climatic conditions, nutritional changes, overcrowding and high intensity of activity could be predisposing factors.

Limitations and perspectives

Methodological limitations have been previously discussed,3 4 however, some limitations of our study should be mentioned. First, concerning the cause of injury, potential difficulties or mistakes could have been reported by physicians between acute and chronic injuries. Indeed, in the present study, 77% of hamstring strains were caused by overuse (20.5% by gradual and 56.5% by sudden onset). This rate is unexpectedly high for this pathology which is most often reported as acute.19 30 ‘Sudden onset’ could have been interpreted as ‘acute’ by physicians, or athletes could have presented previous symptoms. Second, new injuries, recurrence of previous injury (or reinjury) or injury aggravation (or exacerbation) are difficult to distinguish.31 In this context, to improve the collection data system by adding items such as ‘acute or overuse injury’, ‘new injury, reinjury or exacerbation’12 and ‘right or left side’11 could be relevant. A third observation is that 20% to 30% of affected systems, main symptoms and causes of illnesses were reported as ‘other’, which highlights the collection data system limitations in describing illnesses. The coding system could be improved to allow physicians to report illnesses more accurately. Finally, since almost 20%–30% of injuries and illnesses were not reported by the team physicians, the daily report from team physicians could be not complete. Thus, other tools (retrospective interview of athletes, media monitoring or web-based system) should be used to improve the accuracy of the data.11 12

Injury- and illness-prevention strategies in elite track and field athletes

Since overuse is the main cause of elite track and field injuries, future studies during IAAF World Championships should also include pre-existing (chronic) injuries and a history of injuries in order to better determine the part of newly occurred, aggravation, recurrence of previous or chronic injuries, and also to help determine risk factors. A periodic health examination and an appropriate methodology for recording overuse symptoms would also help physicians to determine the potential deficiency, risk factors and/or chronic injuries or illnesses in order to introduce prevention strategies before world events and before injury or illness incurred.27 32 Further studies should focus on the main common injuries in order to better understand the mechanisms and risk factors before introducing prevention measures,6 7 especially regarding hamstring strains.18–21 In order to prevent respiratory tract infections, gastroenteritis and dehydration, education of athletes and their entourage on infectious disease and dehydration prevention strategies is necessary.5 Athletes should be advised to seek shade and to hydrate regularly, to drink only bottled water, to eat safe food and to employ regular hand washing with alcohol gel. The use of plastic to cover carpeted hotel rooms, and special indoor air cleaning systems, along with discouraging hand shaking and close contact with people outside the team, including fans and the media, should also decrease illness transmission.5 10 33 Screening tests on airway problems and adapted strategies for athletes with a heavy competition load should be offered to all athletes at risk.10

Conclusion

The injury and illness surveillance system proved again to be accepted by the team physicians and feasible in individual sport competition. However, further efforts should be implemented in the future to improve data completeness and quality. During elite Athletics World Championships, 135 injuries, 60 time-loss injuries and 68 illnesses per 1000 registered athletes were reported. Athletes competing in combined events and long-distance runs have the highest injury risk. Preventive interventions should focus on overuse injuries, hamstring strains and adequate rehabilitation of previous injuries, and decreasing the risk of transmission of infectious diseases, appropriate event scheduling and heat acclimatisation. The incidence of injuries was 97 and 135.4 per 1000 registered athletes during the 2007 and 2009 IAAF World Championships, respectively; and the incidence of illnesses was 68.2 per 1000 registered athletes during the 2009 IAAF World Championships. Most injuries were caused by overuse. The most common injury was thigh strain and the most common illness was upper respiratory tract infection. During elite track and field world Championships, incidences are 135 injuries, 60 time-loss injuries and 68 illnesses per 1000 registered athletes. Most frequent diagnoses of injury and time-loss injury are thigh strain (and especially hamstring strain), followed by ankle sprain, trunk muscle cramps and lower leg strain. The most common diagnoses were upper respiratory tract infection, gastroenteritis and dehydration.
  32 in total

1.  Prevalence of musculoskeletal injuries in Swedish elite track and field athletes.

Authors:  Jenny Jacobsson; Toomas Timpka; Jan Kowalski; Sverker Nilsson; Joakim Ekberg; Per Renström
Journal:  Am J Sports Med       Date:  2011-11-03       Impact factor: 6.202

2.  Sports injuries and illnesses during the Winter Olympic Games 2010.

Authors:  Lars Engebretsen; Kathrin Steffen; Juan Manuel Alonso; Mark Aubry; Jiri Dvorak; Astrid Junge; Willem Meeuwisse; Margo Mountjoy; Per Renström; Mike Wilkinson
Journal:  Br J Sports Med       Date:  2010-09       Impact factor: 13.800

3.  Injury surveillance in male professional football; is medical staff reporting complete and accurate?

Authors:  J Bjørneboe; T W Flørenes; R Bahr; T E Andersen
Journal:  Scand J Med Sci Sports       Date:  2010-03-10       Impact factor: 4.221

4.  Reinjury after acute posterior thigh muscle injuries in elite track and field athletes.

Authors:  Nikolaos Malliaropoulos; Tomide Isinkaye; Kostas Tsitas; Nicola Maffulli
Journal:  Am J Sports Med       Date:  2010-11-03       Impact factor: 6.202

5.  Recording injuries among World Cup skiers and snowboarders: a methodological study.

Authors:  T W Flørenes; L Nordsletten; S Heir; R Bahr
Journal:  Scand J Med Sci Sports       Date:  2011-04       Impact factor: 4.221

6.  Fit for the fight? Illnesses in the Norwegian team in the Vancouver Olympic Games.

Authors:  Dag Vidar Hanstad; Ola Rønsen; Svein S Andersen; Kathrin Steffen; Lars Engebretsen
Journal:  Br J Sports Med       Date:  2011-03-09       Impact factor: 13.800

7.  Posterior thigh muscle injuries in elite track and field athletes.

Authors:  Nikolaos Malliaropoulos; Emmanuel Papacostas; Olga Kiritsi; Agapi Papalada; Nikolaos Gougoulias; Nicola Maffulli
Journal:  Am J Sports Med       Date:  2010-06-03       Impact factor: 6.202

8.  Occurrence of injuries and illnesses during the 2009 IAAF World Athletics Championships.

Authors:  Juan-Manuel Alonso; Philippe M Tscholl; Lars Engebretsen; Margo Mountjoy; Jiri Dvorak; Astrid Junge
Journal:  Br J Sports Med       Date:  2010-12       Impact factor: 13.800

9.  Epidemiology of muscle injuries in professional football (soccer).

Authors:  Jan Ekstrand; Martin Hägglund; Markus Waldén
Journal:  Am J Sports Med       Date:  2011-02-18       Impact factor: 6.202

10.  Injuries and illnesses of football players during the 2010 FIFA World Cup.

Authors:  Jiri Dvorak; Astrid Junge; Wayne Derman; Martin Schwellnus
Journal:  Br J Sports Med       Date:  2011-01-21       Impact factor: 13.800

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  40 in total

1.  Effects of High Velocity Elastic Band versus Heavy Resistance Training on Hamstring Strength, Activation, and Sprint Running Performance.

Authors:  Donatas Janusevicius; Audrius Snieckus; Albertas Skurvydas; Viktoras Silinskas; Eugenijus Trinkunas; Joan Aureli Cadefau; Sigitas Kamandulis
Journal:  J Sports Sci Med       Date:  2017-06-01       Impact factor: 2.988

2.  The effect of Nordic hamstring strength training on muscle architecture, stiffness, and strength.

Authors:  Kayla D Seymore; Zachary J Domire; Paul DeVita; Patrick M Rider; Anthony S Kulas
Journal:  Eur J Appl Physiol       Date:  2017-03-09       Impact factor: 3.078

3.  Anatomy of proximal attachment, course, and innervation of hamstring muscles: a pictorial essay.

Authors:  Karolina Stępień; Robert Śmigielski; Caroline Mouton; Bogdan Ciszek; Martin Engelhardt; Romain Seil
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2018-10-29       Impact factor: 4.342

Review 4.  Magnetic resonance imaging in acute hamstring injury: can we provide a return to play prognosis?

Authors:  Gustaaf Reurink; Elisabeth G Brilman; Robert-Jan de Vos; Mario Maas; Maarten H Moen; Adam Weir; Gert Jan Goudswaard; Johannes L Tol
Journal:  Sports Med       Date:  2015-01       Impact factor: 11.136

5.  Musculotendon variability influences tissue strains experienced by the biceps femoris long head muscle during high-speed running.

Authors:  Niccolo M Fiorentino; Silvia S Blemker
Journal:  J Biomech       Date:  2014-08-16       Impact factor: 2.712

6.  Diffusion tensor imaging combined with T2 mapping to quantify changes in the skeletal muscle associated with training and endurance exercise in competitive triathletes.

Authors:  S Keller; J Yamamura; J Sedlacik; Z J Wang; P Gebert; J Starekova; E Tahir
Journal:  Eur Radiol       Date:  2020-01-17       Impact factor: 5.315

7.  Clinical Practice Patterns and Beliefs in the Management of Hamstrings Strain Injuries.

Authors:  Andrea Di Trani Lobacz; Joseph Glutting; Thomas W Kaminski
Journal:  J Athl Train       Date:  2016-03-04       Impact factor: 2.860

8.  High final energy of gallium arsenide laser increases MyoD gene expression during the intermediate phase of muscle regeneration after cryoinjury in rats.

Authors:  Caroline Pereira Santos; Andreo Fernando Aguiar; Ines Cristina Giometti; Thaoan Bruno Mariano; Carlos Eduardo Assumpção de Freitas; Gisele Alborghetti Nai; Selma Zambelli de Freitas; Maeli Dal Pai-Silva; Francis Lopes Pacagnelli
Journal:  Lasers Med Sci       Date:  2018-01-15       Impact factor: 3.161

9.  The Effects of Eccentric Training on Biceps Femoris Architecture and Strength: A Systematic Review With Meta-Analysis.

Authors:  Rémy Gérard; Léo Gojon; Philippe Decleve; Joachim Van Cant
Journal:  J Athl Train       Date:  2020-03-27       Impact factor: 2.860

10.  INJURY PATTERNS IN ADOLESCENT ELITE ENDURANCE ATHLETES PARTICIPATING IN RUNNING, ORIENTEERING, AND CROSS-COUNTRY SKIING.

Authors:  Philip von Rosen; Frida Floström; Anna Frohm; Annette Heijne
Journal:  Int J Sports Phys Ther       Date:  2017-10
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