Player Sex and Playing Surface Are Individual Predictors of Injuries in Professional Soccer Players
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection
2.2. Injury Definition
2.3. Independent Measures
2.4. Statistical Analysis
3. Results
3.1. Soccer Injury Prevalence
3.2. Types and Locations of Soccer Injuries
3.3. Univariate Logistic Regression
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Injured (n = 68) | Non-Injured (n = 84) | p-Value | |
---|---|---|---|
Sex (male/female) | (56/12) | (35/49) | <0.001 |
Age (years) | 23.13 (3.89) | 20.68 (4.62) | 0.001 |
BMI (kg/m2) | 22.94 (2.58 | 21.62 (2.73) | 0.003 |
Time between injury and study participation (months) | 18.49 (11.4) | _______ | ______ |
Exposure (hour) | 1207.55 (388.72) | 1114 (368.18) | 0.834 |
Sex (Male (n)) | Team Division (Premier League (n)) | Playing Surface (Natural Grass (n)) | Player’s Positions | ||||||
---|---|---|---|---|---|---|---|---|---|
Striker (n) | Defense (n) | Goalkeeper (n) | Midfield (n) | Side (n) | |||||
Partial or complete ligament injury | Partial tear (total = 31) | ||||||||
Wrist ligament (n = 1) | (1) | (0) | (1) | (0) | (0) | (1) | (0) | (0) | |
Lateral ankle ligament (n = 9) | (5) | (4) | (7) | (2) | (3) | (0) | (2) | (2) | |
Medial and lateral ankle ligaments (n = 7) | (5) | (4) | (6) | (0) | (1) | (2) | (3) | (1) | |
Medial ankle ligaments (n = 6) | (4) | (1) | (3) | (1) | (1) | (1) | (3) | (0) | |
Medial collateral ligament (n = 2) | (1) | (1) | (1) | (1) | (0) | (0) | (0) | (1) | |
Lateral collateral ligament (n = 2) | (2) | (1) | (2) | (0) | (2) | (0) | (0) | (0) | |
Anterior cruciate ligament (n = 4) | (3) | (4) | (4) | (0) | (2) | (1) | (1) | (0) | |
Complete tear (total = 10) | |||||||||
Lateral ankle ligament (n = 1) | (1) | (1) | (1) | (0) | (1) | (0) | (0) | (0) | |
Medial ankle ligament (n = 1) | (1) | (0) | (1) | (0) | (0) | (0) | (1) | (0) | |
Anterior cruciate ligament (n = 8) | (7) | (4) | (8) | (0) | (4) | (0) | (3) | (1) | |
Muscle injury status (partial or complete rupture) | Partial muscle injury (total = 32) | ||||||||
Arm and shoulder muscles (n = 6) | (4) | (4) | (4) | (1) | (1) | (1) | (2) | (1) | |
Lower back muscles (n = 2) | (2) | (2) | (2) | (0) | (1) | (1) | (0) | (0) | |
Hand and wrist muscle (n = 2) | (1) | (1) | (1) | (0) | (1) | (0) | (0) | (1) | |
Hip Adductor muscle (n = 5) | (4) | (3) | (5) | (1) | (2) | (0) | (2) | (0) | |
Anterior thigh muscle (Quadriceps) (n = 3) | (2) | (2) | (1) | (0) | (2) | (0) | (0) | (1) | |
Hamstring muscle (n = 11) | (9) | (7) | (10) | (2) | (4) | (0) | (3) | (2) | |
Leg muscle (n = 3) | (1) | (2) | (1) | (1) | (1) | (0) | (0) | (1) | |
Complete muscle injury (total = 3) | |||||||||
Hip Adductor muscle (n = 1) | (1) | (0) | (1) | (0) | (0) | (0) | (0) | (1) | |
Hamstring muscle (n = 2) | (1) | (0) | (1) | (0) | (0) | (0) | (1) | (1) | |
Meniscus injury | Medial meniscus (n = 3) | (2) | (1) | (2) | (1) | (1) | (0) | (1) | (0) |
Lateral meniscus (n = 5) | (4) | (3) | (3) | (2) | (1) | (0) | (1) | (1) | |
Head injury (n = 3) | (2) | (1) | (1) | (1) | (1) | (0) | (1) | (0) | |
Other injuries (fracture, contusion) | Fractures (total = 13) | ||||||||
Big toe fracture (n = 1) | (1) | (0) | (0) | (0) | (1) | (0) | (0) | (0) | |
Thumb fracture (n = 2) | (2) | (2) | (2) | (0) | (1) | (1) | (0) | (0) | |
Humorous fracture (n = 1) | (0) | (1) | (1) | (1) | (0) | (0) | (0) | (0) | |
Ankle fracture (n = 4) | (2) | (4) | (4) | (1) | (1) | (0) | (2) | (0) | |
Fibula fracture (n = 4) | (3) | (2) | (3) | (0) | (2) | (0) | (1) | (1) | |
Tibia fracture (n = 1) | (1) | (1) | (0) | (0) | (1) | (0) | (0) | (0) | |
Contusion (total = 3) | |||||||||
Shoulder (n = 1) | (1) | (1) | (1) | (0) | (1) | (0) | (0) | (0) | |
Leg (n = 2) | (1) | (0) | (2) | (0) | (1) | (0) | (1) | (0) |
Injury Rate | β Coefficients | Nagelkerke R Square (R2) | OR | 95%CI | p-Value | |
---|---|---|---|---|---|---|
Age | 0.137 | 10.2% | 1.15 | 1.05–1.25 | 0.002 | |
BMI | 1.19 | 7.8% | 1.21 | 1.06–1.38 | 0.003 | |
Sex Male (n = 91) Females (n = 61) * | 61.50% (n = 56) 19.70% (n = 12) | 1.68 | 25.3% | 5.39 | 2.11–13.75 | <0.001 |
Dominant side Right (n = 116) Lift (n = 36) * | 42.20% (n = 49) 52.80% (n = 19) | −0.58 | 15.7% | 0.56 | 0.24–1.30 | 0.18 |
Team division Premier League (n = 74) Division I (n = 78) * | 54.10% (n = 40) 35.90% (n = 28) | 0.68 | 17.1% | 1.98 | 0.96–4.09 | 0.065 |
Previous soccer injury Yes* (n = 19) No (n = 133) | 84.2% (n = 16) 39.1% (n = 52) | 2.12 | 20.1% | 3.308 | 2.307–29.920 | 0.001 |
Playing surface Natural grass Synthetic surface * | 56.88% (n = 62) 13.95% (n = 6) | 2.40 | 34.6% | 11.07 | 4.53–27.04 | <0.001 |
Position Striker (n = 18) Defense (43) Goalkeeper (n = 13) Midfield (41) Side (25) * | 50% (n = 9) 51.2% (n = 22) 61.5% (n = 8) 39% (n = 16) 48% (n = 12) | −0.295 −0.252 0.431 −0.714 | 16.77% | 0.74 0.78 1.54 0.49 | 0.19–2.84 0.27–2.26 0.27–8.81 0.16–1.47 | 0.67 0.64 0.63 0.20 |
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Nawasreh, Z.H.; Yabroudi, M.A.; Darwish, A.A.; Debes, W.A.; Bashaireh, K.M. Player Sex and Playing Surface Are Individual Predictors of Injuries in Professional Soccer Players. Pathophysiology 2022, 29, 619-630. https://doi.org/10.3390/pathophysiology29040048
Nawasreh ZH, Yabroudi MA, Darwish AA, Debes WA, Bashaireh KM. Player Sex and Playing Surface Are Individual Predictors of Injuries in Professional Soccer Players. Pathophysiology. 2022; 29(4):619-630. https://doi.org/10.3390/pathophysiology29040048
Chicago/Turabian StyleNawasreh, Zakariya H., Mohammad A. Yabroudi, Ahmad A. Darwish, Wesam A. Debes, and Khaldoon M. Bashaireh. 2022. "Player Sex and Playing Surface Are Individual Predictors of Injuries in Professional Soccer Players" Pathophysiology 29, no. 4: 619-630. https://doi.org/10.3390/pathophysiology29040048
APA StyleNawasreh, Z. H., Yabroudi, M. A., Darwish, A. A., Debes, W. A., & Bashaireh, K. M. (2022). Player Sex and Playing Surface Are Individual Predictors of Injuries in Professional Soccer Players. Pathophysiology, 29(4), 619-630. https://doi.org/10.3390/pathophysiology29040048