Key points
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The key factors influencing an elite athlete’s occupational safety and health (OSH) awareness have been neither evaluated nor adequately identified in research studies to date.
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Occupational risk communication should be improved by establishing a proactive injury prevention culture and identifying clear-cut responsibilities for key stakeholders within sport organisations.
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Future research could develop an instrument focused specifically on the unique sport setting, which would elicit the factors hindering the improvement of elite athletes’ OSH awareness.
Background
Literature search and evaluation methodology
Study | Participants | Sample size | Player type | Methods | Awareness measured | Methods validity | Associations |
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Case-control study | |||||||
Barnard [23] | 77 student athletes and 50 student non-athletes | 127 Case group (athletes): 32 M 45F Control group (non-athletes): 13 M 37F | Student-athletes | Questionnaire | Mental illness | *** | Athletes and non-athletes did not significantly differ in willingness to seek mental health treatment. Discrimination to mental illness: non-athletes > athletes. Willingness to seek psychological help: F > M. |
Fedor and Gunstad [24] | 382 college athletes and 230 college non-athletes | 612 Case group (athletes): 228 M 154F Control group (non-athletes): 77 M 153F | Student-athletes | Questionnaire | Concussion | *** | Concussion symptoms identification: athletes > non-athletes (p < 0.01) |
Cohort study | |||||||
Kroshus et al. [25] | 146 ice hockey players | 146 M 6 teams | Elite | Questionnaire | Concussion | **** | No statistically significant changes were observed in knowledge (p = 0.38), attitudes (p = 0.78) or perceived norms (p = 0.11). Inclination to play while concussed: before education > after education (lecture education: p = 0.02; email education p = 0.02). |
Cluster-randomised controlled trial | |||||||
Cusimano et al. [26] | 267 minor league hockey players | 267; 10-year olds competitive, 106; 10-year olds recreational, 60; 14-year olds competitive, 54; 14-year olds recreational, 47. | Elite | Questionnaire | Brain injuries | ** | Concussion knowledge: before video education < immediately after video education (p < 0.01). Concussion knowledge at 2 months: no significance between video and no-video groups (controlling for prior knowledge level, age and competitive level) (p = 0.52). Attitudes and behaviour scores at 2 months did not differ between groups p = 0.51. |
McKay et al. [27] | 31 female soccer teams, 29 coaches,258 players | Baseline: 47 coaches, 385 players Post-season: 29 coaches, 258 players | Elite | Questionnaire | Extremity injuries | **** | Postseason: players > coaches considered “inadequate warm-up” as a risk factor for injury (p < 0.01). The belief that injuries are preventable: coaches > players answer “yes” (p = 0.00). |
Grounded theory study | |||||||
Hachfeld et al. [28] | 23 student-athletes | 23 M | Student athletes | Focus group | Testicular cancer | *** | Student athletes were more likely to perform testicular self-examination than the general student population and physical awareness is the core structural process that influenced the action. |
Cross-sectional study | |||||||
Azodo et al. [29] | 156 basketball players | 156 124 M 32 F | Mixed | Questionnaire | Orofacial injuries | *** | The prevalence of injury was not significantly associated with demography, category, competition and duration of participation (p = 0.26). |
Berry et al. [30] | 158 players at 10 institutions of the Central Collegiate Hockey Association | 158 68 defensive, 90 offensive. Sex not indicated | Elite | Questionnaire | Orofacial injuries | *** | No one specific factor affecting attitudes was identified. Negative attitudes towards mouthguard usage: defensive players > offensive players (p < 0.05). |
Bhambhani et al. [31] | 99 Paralympians with spinal cord injuries | 99 85 M, 11 F 3 not indicated sex | Elite | Questionnaire | Autonomic dysreflexia | *** | The awareness of the signs/symptoms and consequences of boosting was not associated with their education level (p = 0.58) or injury duration (p = 0.22). |
Blank et al. [32] | 883 junior athletes’ parents | 883 409 M 474 F | Student-athletes | Questionnaire | Medicine use | *** | Knowledge: Male parents > female parents; Parental sex did not demonstrate a significant influence on attitudes towards doping (p < 0.01). |
Bloodgood et al. [33] | 252 youth athletes and 300 parents | Parents: 90 M 210F Youth: 207 M 45F | Student-athletes | Questionnaire | Brain Injury | *** | Agreed concussions are “a critical issue”: 13–15 years > 16–18 years (p < 0.05). Concussions are “a critical issue”: mothers> fathers (p < 0.05). Disagree “dumb for caring about concussions”: girls> boys (p < 0.05). |
Broglio et al. [34] | 727 soccer professionals | 727 650 athletes 43 coaches 34 medical staff Sex not indicated | Professional | Questionnaire | Concussion | *** | The following are reasons for not reporting concussions: Believe the injury was not serious (72.7%); not knowing it was a concussion (18.2%); not want the team down (4.5%); Believe concussions are part of the game (4.5%). |
Brown et al. [35] | 240 high school athletes (cross-country, volleyball, soccer, tennis, drill, cheer, colour guard, band, and swimming) and their 10 coaches | 240 F athletes, 10 coaches | Student-athletes | Questionnaire | Female triad risk | *** | Average triad knowledge score differed among teams (p = 0.01); triad awareness among athletes (average knowledge score was 2.79 ± 1.61 out of 8). |
Chan et al. [36] | 410 athletes from individual sports (athletics-track, athletics-field, badminton, gymnastics, swimming, and triathlon) and team sports (cricket, soccer, field hockey, basketball, rugby and water polo) | 410 227 M 183 F | Elite | Questionnaire | Medicine use | **** | When controlled motivation is low: autonomous motivation ↓ → doping intention ↑ (p < 0.01). When controlled motivation is high: no significant between autonomous motivation and doping intention (p = 0.57). When autonomous motivation was low: controlled motivation↓ → doping intention ↑ (p < 0.01); when autonomous motivation was low: no significant between controlled motivation and doping intention (p = 0.50). |
Coffey et al. [37] | 149 professional and semi-professional soccer players | 149 M | Professional | Questionnaire | Concussion | *** | Concussion report odds: defenders > other playing positions (p = 0.05). |
Cournoyer and Tripp [38] | 334 varsity high school soccer players | 334 Sex not indicated | Student-athletes | Questionnaire | Concussion | ** | No correlations were found between the method of education and the knowledge of symptoms or consequences of concussion (1 − β = 0.82). |
Kerr et al. [39] | 214 former NCAA collegiate athletes | 214 140 M 74 F | Mixed | Questionnaire | Concussion | *** | In low/noncontact sports: self-identified sports-related concussions non-disclosure: M > F (PR = 2.88). |
Kuhl et al. [40] | 94 equestrian riders | 94 27 M, 67 F 64 amateurs 30 professionals | Mixed | Questionnaire | Concussion | ** | Experience level did not influence the rates of concussion (p value not reported). |
Kurowski et al. [41] | 496 high school athletes | 496 384 M 112F 212 American football 123 soccer 89 basketball 72 wrestling | Student-athletes | Questionnaire | Concussion | *** | No association found between improved concussion knowledge and improved self-reported behaviours (p = 0.63); Age (p = 0.01) ↑ & female sex (p = 0.03) → concussion knowledge↑; Age (p = 0.01) ↓ & female sex (p = 0.00) & soccer participation (p = 0.02) → self-reported behaviours ↑. |
Ma [42] | 236 basketball players | 236 M 77 professionals 159 semi-professionals | Mixed | Questionnaire | Orofacial injuries | ** | The incidence of dental and oral injuries was related to the length of training time (p value not reported). |
McCrea et al. [43] | 1532 varsity soccer players from 20 high schools | 1532 Sex not indicated | Student-athletes | Questionnaire | Concussion | *** | No significant relationship found between a player’s prior concussion history and the likelihood of concussion reporting during the season. |
Meyers et al. [44] | 298 athletes in non-traditional non-NCAA sports (downhill skiing, martial arts, rock climbing, rodeo, skydiving and telemark skiing) and traditional NCAA sports (equestrian, golf, swimming/diving, tennis and track) | 298 F 152 non-NCAA athletes 146 traditional NCAA athletes | Mixed | Questionnaire | Pain-coping | *** | Women athletes pain-coping traits: non-traditional individual-sport activity < coach-structured traditional NCAA sports (Wilks’ λ F6,291 = 12.92; p = 0.00). |
Miyashita et al. [45] | 454 high school athletes | 454 242 M 212 F | Student-athletes | Questionnaire | Concussion | ** | Participants were asked if the importance of a game/event should dictate when they are allowed to return to play, and 50.9% stated “yes” with no difference between sexes (p = 0.10) or age (p = 0.19). |
Muwonge et al. [46] | 360 professional athletes (basketball, soccer, handball, rugby, athletics and cycling) | 360 218 M 142 F | Professional | Questionnaire | Medicine use | **** | Female athletes mean PEAS scores: with a prior doping history > without doping history (p = 0.10) |
Norcross et al. [47] | 66 soccer and basketball coaches from 15 high schools | 66 coaches: 16 boys soccer 17 girls soccer 18 boys basketball 15 girls basketball | Student-athletes | Questionnaire | Lower extremity injury | *** | Coaches’ injury prevention programs awareness: girls’ team > boys’ team (p = 0.00); Soccer > basketball (p = 0.05). |
Onyeaso and Adegbesan [48] | 42 coaches of secondary school athletes | 42 25 M 17 F | Student-athletes | Questionnaire | Orofacial injuries | ** | Statistically significant association (p < 0.05) was found between the sports and usage of mouthguards by the athletes as claimed by the coaches. |
Overbye [49] | 775 elite athletes from 40 sports | 775 465 M 310 F | Elite | Questionnaire | Medicine use | *** | Interests in anabolic-androgenic steroids use: M > F (p = 0.00); Speed and power sports athletes> motor-skill sport athletes (p = 0.02); Team sports athletes >motor-skill sport athlete (p = 0.08); Endurance sport athletes > motor-skill sport athletes (p = 0.15). |
Register-Mihalik [50] | 167 high school athletes | 167 97 M 55 F | Student-athletes | Questionnaire | Concussion | *** | No association found between increased athlete knowledge and attitude and prevalence of playing while experiencing concussion symptoms (p = 0.84). |
Reuter and Short [51] | 154 noncontact/limited-contact sports athletes | 154 Swimming 27 M 18 FTrack 26 M 28 FBaseball 25 M | Elite | Questionnaire | Perceived risk of injury | ** | Uncontrollable injury scores showed a significant difference between 3 sports (all about p = 0.00) with baseball players fearing the most risk and swimmers fearing the least. Risk of controllable injuries showed a significant difference between swimming and baseball (p = 0.01) with baseball players fearing the most risk and swimmers the least. Risk of upper body injury scores indicated a significant difference between track and swimming (p = 0.00) and track and baseball (p = 0.00). Swimmers reported the most fear of upper body injury while track athletes scored the lowest. Risk of re-injury scores indicated a significant difference between track and baseball (p = 0.00), and baseball and swimming (p = 0.00). |
Shendell et al. [52] | 1138 endurance athletes (full marathon, half marathon, and wheelchair athletes) | 1138 499 M 639 F | Mixed | Questionnaire | Asthma | **** | About 12.10% participants reported physician-diagnosed asthma; 84.6% correctly knew an asthma action plan can prevent hospitalizations; 18.0% reported they had an asthma action plan;24.8% had ever been asked to demonstrate medication use (controller and/or rescue inhaler) but only 2 people performed daily peak flow measurements. |
Short et al. [53] | 434 contact sports athletes | 434 Hockey, 86 M 76 F Soccer. 32 M 32 F American football, 208 M | Elite | Questionnaire | Perceived risk of injury | ** | Worry/concern↑ → probability of injury↑ (p < 0.01). Worry/concern ↑ → confidence in avoiding injury↓ (p < 0.01). Perceived probability of injury↑ → confidence in avoiding injury↓ (p < 0.01). Confidence in avoiding injury: M soccer previous injured< M hockey Previous injured (ES = 0.52). Confidence in avoiding injury: M soccer uninjured > M hockey uninjured (ES = 0.68). Confidence in avoiding injury: F uninjured > F previous injured (ES = 0.38. Perceived probability of injury: F previous injured > M previous injured (ES = 0.72). Confidence in avoiding injury: F soccer >F hockey (ES = 0.86). Worry/concern about injury: F hockey >F soccer (ES = 0.85). Worry/concern: M soccer> M hockey (ES = 0.25). |
Shroyer and Stewart [54] | 53 rural high school coaches | 53 17 M 36 F | Student-athletes | Questionnaire | Concussion | ** | 13% of coaches knew and 48% did not know high school athletes take longer to recover from a concussion than do older athletes. |
Sorkkila, Aunola and Ryba [55] | 391 student-athletes from 6 upper secondary sport schools and their parents | 391 student-athletes: 49% M 51% F 448 parents: 188 M 260 F | Student-athletes | Questionnaire | Burnout | *** | The higher success expectations in sport: school burnout group > mild sport burnout group (p < 0.01); The higher success expectations in school: mild sport burnout group > school burnout group (p < 0.05). |
Strotmeyer and Lystad [56] | 175 amateur Muay Thai fighters | 175 114 M 61 F | High-performance amateur | Questionnaire | General injuries | *** | Muay Thai fighters perceived the risk of injury in their own sport to be average and significantly lower than that in other collision and contact sports (p < 0.01). |
Tiwari et al. [57] | 320 national and international level players (wrestling, karate judo, boxing, Wushu, fencing, taekwondo, hockey, canoeing and kayaking, rowing, sailing, horse riding, and shooting) | 320 213 M 2017 F | Professional | Questionnaire | Orofacial injuries | ** | Awareness and use of mouthguards: contact sports athletes > noncontact sports athletes (p = 0.00). |
Tulunoglu and Oezbek [58] | 274 semi-professional or amateur boxers and taekwondo players | 274 174 M 100 F | Mixed | Questionnaire | Orofacial injuries | ** | Mouthguard awareness: players with a dental trauma experience > players without a dental trauma experience (p = 0.00); Players with a facial trauma experience > players without a facial trauma experience (p = 0.01). |
Therkorn and Shendell [59] | 120 participants including college athletes, coaches and athlete parents/guardians | 120 26 coaches 37 college athletes 57 athlete parents/guardians | Student-athletes | Questionnaire | Asthma | ** | The percentage of correct responses by coaches to 5 asthma knowledge questions ranged from 12% to 88%. |
Williams et al. [60] | 26 professional soccer players | 26 M | Professional | Questionnaire, interview | Concussion | **** | The mean score on concussion knowledge was 16.4 ± 2.9 (range 11–22) and the attitude score was 59.6 ± 8.5 (range 41–71); The interview responses identified inconsistencies between the concussion knowledge/attitude and the intended behaviours, endorsing multiple concussion misconceptions, and revealed barriers to concussion reporting. |
Zech and Wellmann [61] | 139 professional and youth players | 139 24 First Team players 18 U23 players 25 U19 players 17 U17 players 20 U16 players 35 U15 players Sex not indicated | Mixed | Questionnaire | General injuries | *** | Perceptions on risk factors for injuries: athletes with previous injuries > athletes without previous injuries (fatigue: p = 0.04; previous injuries: p = 0.01; environment p = 0.00). |
Results
Sporting injury- concussion reporting awareness
Study | Awareness measured | Participants | Sex | Mean age (years) | Findings |
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Broglio et al. [34] | Concussion | 650 soccer players, 43 coaches, 34 medical staff | Not indicated | 16.8 | 10.0% athletes sustained a concussion in the past year and 62.0% of these injuries were not reported. Medical staff reported a heavy reliance on the clinical exam (92.0%) and athlete symptom reports (92.0%) to make the concussion diagnosis and return to play decision, with little use of neurocognitive (16.7%) or balance (0.0%) testing. |
Cournoyer and Tripp [38] | Concussion | 334 high school soccer players | Not indicated | 16.3 | Concussion symptom identified: headache (97.0%); dizziness (93.0%); confusion (90.0%); Loss of consciousness (81.0%); nausea or vomiting (53.0%); behaviour and personality change (40.0%); trouble falling asleep (36.0%); being more emotional (30.0%); being nervous or anxious (27.0%). |
Fedor and Gunstad [24] | Concussion | 382 college athletes and 230 college non-athletes | M/F | Case group: 19.6 Control group: 19.6 | Student-athletes expected significantly more distractor (1.19 ± 1.05 vs. 0.84 ± 0.89), somatic (6.05 ± 1.76 vs. 5.30 ± 2.12), and cognitive (2.31 ± 0.90 vs. 2.01 ± 1.10) symptoms compared with controls. No significant differences emerged for emotional or sleep symptoms. |
Kerr et al. [39] | Concussion | 214 former collegiate athletes in NCAA | M/F | Not indicated | 70.4% did not know when they had suffered a concussion. |
McCrea et al. [43] | Concussion | 1532 high-school soccer players | Not indicated | Not indicated | 36.1% lacked awareness of probable concussion. |
Miyashita et al. [45] | Concussion | 454 high-school athletes | M/F | 15.7 | The number of athletes who reported at least 1 concussion history: before study session < after study session (p = 0.00). |
Williams et al, [60] | Concussion | 26 professional soccer players | M | 59.6 | 80.8% athletes who were knocked unconscious would be taken to the emergency room. 80.8% managers would keep players with concussions out of games; 69.3% physiotherapists making return to play decisions regarding concussions. 38.5% athletes would play with a concussion during semi-final playoff games. 57.7% athletes would play through a headache resulting from a concussion. |
Study | Awareness measured | Participants | Sex | Mean age (years) | Findings |
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Broglio et al. [34] | Concussion | 650 soccer players, 43 coaches, 34 medical staff | Not indicated | 16.8 | Most soccer players did not feel that the injury was serious enough to report; 72.0% coaches understood that having a single concussion increases the risk of a second injury concussion risk |
Cournoyer and Tripp [38] | Concussion | 334 high-school soccer players | Not indicated | 16.3 | Possible concussion consequences correctly identified: Brain haemorrhage, coma, and death (60.0% to 70.0%); Early-onset dementia (64.0%); Early-onset Alzheimer disease (47.0%); Early-onset Parkinson disease (28.0%). Improperly identified: increased risk of blindness with age (50.0%) and increased risk of stroke (38.0%) |
Kuhl et al. [40] | Concussion | 94 equestrian riders | M/F | Not indicated | 88.0% agreed or strongly agreed repeated head injuries could result in lasting impairments; 76.0% believed that concussions can increase brain injury; 27.0% believed that work or academics was likely to worsen concussion symptoms; 47.0% disagreed or strongly disagreed that concussion management should be more conservative for a child. |
Ma [42] | Orofacial injuries | 236 basketball players (77 professionals and 159 semi-professionals) | M | Not indicated | 59% ranked the risk of orofacial and dental injury in basketball as medium. |
McCrea et al. [43] | Concussion | 1532 high-school soccer players | Not indicated | Not indicated | 66.4% of the players would not report concussion because they did not think it was serious enough for medical attention. |
Williams et al. [60] | Concussion | 26 professional soccer players | M | 59.6 | 96.0% indicated playing with a concussion may increase later life risk of “serious stuff” or “cognitive problems”, but 64.0% would continue to play when suffered a concussion. |
Awareness of the health risks of inappropriate medicine usage
Personal protective equipment (PPE) usage awareness
Study | Awareness measured | Sports | Sex | Mean age (years) | Findings |
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Ma [42] | Mouthguard | Basketball | M | Not indicated | Awareness was high (80.1%), but the usage rate was low. |
Azodo et al. [29] | Mouthguard | Basketball | M/F | 23.1 | There was a high prevalence of orofacial injuries and a low awareness of mouthguard use. |
Berry et al. [30] | Mouthguard | Hockey | Not indicated | 21.0 | 13.3% of players wore mouthguards most of the time during games; 3.8% wore mouthguards most of the time during practices. |
Onyeaso and Adegbesan [48] | Mouthguard | Soccer, judo, boxing, hockey | M/F | 38.1 | 81.0% coaches believed mouthguard should be worn at all times – during practice sessions and competitions; 19.0% coaches would prefer the use only during competitions. |
Kuhl et al. [40] | ASTM/SEI-approved helmet | Equestrian | M/F | Not indicated | 58.0% of riders strongly agreed on the use of helmets when jumping. |
Tiwari et al. [57] | Mouthguard | Wrestling, karate judo, boxing, Wushu, fencing, taekwondo, hockey, canoeing and kayaking, rowing, sailing, horse riding, shooting | M/F | Not indicated | 51.5% athletes were aware of mouthguards, but only 21.0% wore them. |
Tulunoglu and Oezbek [58] | Mouthguard | Boxing, taekwondo | M/F | Not indicated | 83.2% of participants knew the importance of using mouthguards. |