| Literature DB >> 34150321 |
Felix Croteau1,2, Harry Brown3, David Pearsall3, Shawn M Robbins1,4,5.
Abstract
OBJECTIVE: To summarise the information available in the literature on the prevalence of injuries in water polo and injury risk factors.Entities:
Keywords: athlete; epidemiology; review; risk factor; water polo
Year: 2021 PMID: 34150321 PMCID: PMC8183217 DOI: 10.1136/bmjsem-2021-001081
Source DB: PubMed Journal: BMJ Open Sport Exerc Med ISSN: 2055-7647
Figure 1Article selection flow diagram.
Epidemiological studies in water polo
| Reference | Design | Participants | Outcome | Key findings |
| Annett | Retrospective cohort | 77 males from national team, mean 20 years old | 13-year retrospective chart analysis of documented injuries | Incidence of injuries 1.16/1000 hours; |
| Black | Retrospective cohort | 28 males and 22 females from collegiate level | 3-year retrospective chart analysis of concussions | No injuries recorded |
| Blumenfeld | Cross-sectional | 895 males and 602 females (and 22 undefined sex) from high school to master’s club levels, mean 30 years old | Retrospective survey of life-long concussion injuries | 36% overall lifetime prevalence with average 2.14±0.07 episodes; |
| Cunningham and Cunningham | Prospective cohort | 382 males and females from collegiate level | Prospective injury surveillance during 1 week | Period prevalence 13.1% |
| De Castro-Maqueda and Amar-Cantos | Cross-sectional | 285 males and 202 females from club teams, mean 24±8 years old | Retrospective survey of injury over the last 10 years | 10-year prevalence 98.4% shoulder injury, 87% sunburn, 56% groin injury, 23.7% had fracture, 4.2% hypothermia, 2% no injury |
| Ellapen | Cross-sectional | 100 males of high school level, 15–17 years old | Retrospective survey of pain over the last | 72% prevalence; |
| Elliott | Cross-sectional | 13 males from national team, mean 28 years old (no injury data for 12 controls) | Retrospective survey of lifetime injuries | Lifetime prevalence 85%; |
| Engebretsen | Prospective cohort | 156 males and 104 females from national teams | Prospective injury surveillance during 17 days | Period prevalence 13.1% overall; |
| Forrester | Retrospective cohort | 256 males and 158 females, 73.5% age 13–18 from high school and college | Retrospective chart analysis of emergency department admissions 2000–2019 | Head and neck 53.6% of all injuries (56.9% male and 48.1% female), upper extremity 31.1% (29.7% male and 33.6% female), lower extremity 6.5% (6.1% male and 7.2% female); |
| Galic | Cross-sectional | 59 males, mean 12.9±3.2 years old | Retrospective survey of lifetime injuries | Of all respondents, 28.8% had had orofacial injuries, 18.6% dental injuries, only 5.1% wear mouth guards |
| Goes | Cross-sectional | 36 males and 26 females, mean 23.4±5.1 years old and 11.5±6.1 years water polo experience | Retrospective survey of lifetime injuries | Injury counts joint injury 51, muscle injury 43 and tendinopathy 38; shoulders were 65.8% of tendinopathies, 46.5% of muscle injuries and 31.4% of joint injuries |
| Gradidge | Cross-sectional | 36 males from high school level, mean 17±1 years old | Retrospective survey of lifetime injuries | Lifetime prevalence 55%; |
| Hame | Retrospective cohort | 5900 multisport males and females from collegiate level | 15-year retrospective chart analysis of fractures | Incidence rate of fractures 0.04–0.05/athlete×year for males versus 0.01–0.02/athlete×year for females; |
| Hams | Retrospective and prospective cohorts | 90 males and 128 females from professional league, mean 20.6±3.7 and 19.3±2.9 years old respectively | Retrospective chart review of self-report shoulder injuries in last 4 years AND 3-year prospective injury surveillance | Incidence 0.65/1000 athlete×exposure; |
| Hersberger | Cross-sectional | 355 males and 60 females from junior to national level, mean 30 years old | Retrospective survey of lifetime dental injuries | Lifetime prevalence 103 arm and fingers, 72 lip injuries; 87 tooth injuries |
| Jerolimov and Jagger | Cross-sectional | 102 males from professional league, mean 22±4 years old | Retrospective survey of injuries during professional career | Incidence 0.57/player×year; |
| Junge | Prospective cohort | Males and females from national teams | Prospective injury surveillance during 1 month | Period prevalence 9.7%; |
| Junge | Prospective cohort | 259 males and females from national teams | Prospective injury surveillance during 1 month | Incidence 21/1000 player×matches (95% CI, 11 to 31); |
| Kim and Park | Prospective cohort | 73 males from national team programme, mean 24.4±3.4 years old | Prospective injury surveillance during 8 years | Injury rates 2.06/1000 hours (95% CI 1.77 to 2.34); |
| MacIntosh | Retrospective cohort | Males from collegiate level | 17-year retrospective chart analysis | Proportion 11.9% of all injuries from 25 sports; |
| McLain and Reynolds | Prospective cohort | 36 males and 16 females from high school level | Prospective injury surveillance during 1 year | Period prevalence boys 5.6% versus girls 0%; |
| Mountjoy | Prospective cohort | 235 males and 226 females from national teams | Prospective injury surveillance during 14 days | Incidence 89.4/1000 male players and 101.82/1000 female players; |
| Mountjoy | Retrospective cross-sectional and prospective cohort | 208 males and 208 females from national teams, mean 25±5 years | 4-week retrospective survey and prospective injury surveillance during 14 days | 1-month prevalence 41.9% (36.6% male and 46.6% female); counts during event 65 injuries (33 males and 32 females); incidence 1.1/100 athlete×days |
| Mountjoy | Retrospective cohort | 1456 males and 1248 females from national teams | Repeated prospective injury surveillance | Period prevalence 14.1% |
| Prien | Retrospective cross-sectional and prospective cohort | 415 males and females from national teams, mean 22±5 years old | 4-week retrospective survey and prospective injury surveillance during 14 days | 1-month prevalence 19.9%; prevalence during event 23.1% |
| Rugg | Retrospective cohort | 40 males and 41 females from collegiate level | 7-year retrospective database analysis of upper extremity injuries | Period prevalence 35% upper extremity injuries for males versus 39% for female players; males 22.5% shoulder, 2.5% elbow and 10% wrist and hand; females 19.4% shoulder, 9.8% elbow and 9.8% wrist and hand |
| Sallis | Retrospective cohort | Males and females from collegiate level, age 18–22 years old | 9-year retrospective database analysis | Incidence 18.38/100 player×years (females) versus 7.10/100 player×years (males); |
| Soligard | Prospective cohort | 154 males and 104 females from national teams | Prospective injury surveillance during 17 days | Period prevalence 19% |
| Toohey | Prospective cohort | 6 males and 36 females from national team, mean male 19.9±3.4 and 20.8±4.1, respectively | Prospective injury surveillance over 8 months | Injury counts 74; |
| Youn | Retrospective cohort | Males and females from collegiate level, age 18–22 years old | Retrospective chart analysis of ocular injuries | Incidence 0.45/1000 male player×matches versus 0/1000 female player×matches |
| Zamora-Olave | Cross-sectional | 224 males and 123 females from club teams, 10 years old to senior | Retrospective survey of orofacial injuries over the last 12 months | Period prevalence 57.9% |
Publications on risk factors
| Reference | Participants | Design | Outcome | Key findings |
| Galluccio | 42 males from professional league | Cross-sectional | Pain questionnaire as part of cross-sectional study | Shoulder pain prevalence 31.0%; |
| Giombini | 7 males and 4 females from national team, mean 24 years old | Case series | MRI investigation of shoulder area | Postero-superior labral damage 11/11; increased signal intensity on the undersurface of the RC 11/11; postero-superior glenoid impingement of SST 11/11 |
| Hams | 28 males and 48 females from national team, mean 20±3 years old | Cohort | Shoulder range of motion measured with goniometry and shoulder rotation strength measured with hand-held dynamometer | Prospectively injured athletes showed significantly lower total ROM (p=0.05), lower strength of ER (p=0.03) and IR (p<0.03) |
| Hams | 9 males and 6 females from national team, mean 18±1 years old | Cohort | Shoulder internal (IR) and external rotation (ER) strength measured with hand-held dynamometer | Prospectively injured athletes showed significantly lower ER and IR strength (p≤0.01) but no differences in ER/IR ratios; healthy IR 14.57 kgF versus 9.26 kgF, healthy ER 10.97 kgF versus 7.35 kgF, healthy ratios ER/IR 0.77 versus 0.81 (at 90–90 position); healthy IR 19.62 versus 14.56 kgF, healthy ER 14.50 versus 10.29 kgF, ER/IR ratio 0.75 versus 0.72 (in neutral) |
| Klein | 28 males from national league, mean 24 years old | Cross-sectional | MRI investigation of shoulder area | Dominant strength SSP 12.2±2.9 kgF, ISP 9.9±2.5 kgF, SSC 11.6±2.3 kgF; MRI positive findings: SSP 15/28 shoulders, SSC 15/28, ISP 12/28, labrum cranial 10/28 versus posterior 15/28 versus anterior 6/28, cysts 6/28, LHB 17/28, cartilage 9/28, AC changes 7/28, bursitis 25/28 |
| Langner | 5 male and 8 female college level, age 18–23 | Cross-sectional | MRI investigation of the hips | Abnormal alpha 9/16 female versus 9/10 male; abnormal lateral edge-centre angle 5/16 female versus 3/10 female; labral tears 8/16 female versus 8/10 male |
| Melchiorri | 53 males from national team, mean 24±3 years old, 17 injured | Cross-sectional | Video analysis to estimate joint angles and ball throwing speed | Ball speed injured 23.9±1.7 m/s versus 24.6±2.2 m/s; elbow angle release injured 147±8° versus 148±6°; throw time injured 150.6±28.2 ms versus 149.4±29.6 ms; shoulder angle injured 144±6° versus 138±5°; head height injured 55.1±8.7 cm versus 37.4±13.1 cm; trunk rotation time injured 140±18 ms versus 110±17 ms |
| Mukhtyar | 30 participants from national league, 17–35 years old, 14 injured | Cross-sectional | Static scapular alignment measured in neural and end range shoulder elevation | Rotary index healthy at 0° position 0.3975 versus 0.1379 (p<0.01); healthy at 45° position 0.2781 versus 0.2064 (p=0.04); healthy at 90° position 0.3144 versus 0.2743 (p=0.13) |
| Wheeler | 7 females from national team, mean 23 years old | Cross-sectional | Video analysis of practices and daily questionnaire of shoulder soreness | 74% of shoulder soreness was explained by shooting volume and significant association also with decreased rest between reps; volume of shots per day 29±5 for squad selection versus 55±21 for team practices; more soreness in squad selection VAS (3.8±1) versus team practices VAS 2.9±0.4, p<0.05); rest between shots in squad selection 274±183 s versus team practice 148±50 s |
| Whiting | 13 males from national team, mean 27±3 years old, 7 injured | Cross-sectional | Three-dimensional video analysis with orthogonal views to estimate joint angles and ball release speed | Throw duration healthy 227±9 ms versus 241±11 ms; peak angular velocity healthy 1182±45°/s versus 1104±72°/s; elbow angle at release healthy 155±2° versus 155±3°; ball velocity healthy 19.3±0.5 m/s versus 19.9±0.7 m/s |
AC, acromioclavicular; ER, external rotation; IR, internal rotation; ISP, infraspinatus; LHB, long head of biceps; RC, rotator cuff; ROM, range of motion; SSC, subscapularis; SST, supraspinatus; SLAP tear, superior longitudinal anteroposterior tear; VAS, Visual Analogue Scale.
Reported period prevalence of water polo injuries per body area in national team athletes
| Body part | Period prevalence | |||
| Surveys | Chart review | Cohort | Cross-sectional | |
| Head and neck | 0% | 20.2% | 20.5%–53% | n/a |
| Shoulders | 65% | 24.1% | 6%–13.6% | n/a |
| Elbows | 0% | 11.5% | 6%–18.2% | n/a |
| Wrist/hands/fingers | 50% | 19.7% | 13.6%–23.1% | n/a |
| Lumbar spine | 0% | 2.9% | 0%–11.4% | n/a |
| Hips/groin | 18% | 7.1% | 0%–9.1% | n/a |
| Knees | 24% | 3.6% | 0%–3.1% | n/a |
| Ankles/feet | 0% | 1.7% | 4.5%–10.8% | n/a |