| Literature DB >> 27217933 |
Eiji Miyake1, Mitsunobu Yatsunami2, Jun Kurabayashi2, Koji Teruya3, Yasuhiro Sekine4, Tatsuaki Endo4, Ryuichiro Nishida5, Nao Takano6, Seiko Sato7, Han Jae Kyung8.
Abstract
BACKGROUND: Injury prevention programs have recently been created for various sports. However, a longitudinal study on badminton injuries, as assessed by a team's dedicated medical staff, at the gymnasium has not been performed.Entities:
Keywords: Athletic Injuries; Epidemiology; Incidence; Racquet Sports
Year: 2016 PMID: 27217933 PMCID: PMC4870827 DOI: 10.5812/asjsm.29637
Source DB: PubMed Journal: Asian J Sports Med ISSN: 2008-000X
Participant Characteristics [a]
| Gender | Number of Players | Age, Y | Height, cm | Weight, kg |
|---|---|---|---|---|
|
| ||||
| Junior high school | 18 | 13.4 ± 0.7 | 161.7 ± 7.9 | 49.5 ± 7.6 |
| High school | 26 | 16.2 ± 0.5 | 169.1 ± 5.2 | 58.0 ± 5.6 |
| University | 50 | 20.0 ± 1.2 | 172.5 ± 6.4 | 65.7 ± 6.6 |
|
| ||||
| Junior high school | 16 | 13.8 ± 0.8 | 159.4 ± 6.1 | 49.9 ± 6.8 |
| High school | 16 | 16.1 ± 0.7 | 162.3 ± 5.7 | 54.7 ± 5.0 |
| University | 7 | 20.7 ± 1.1 | 163.4 ± 3.1 | 59.6 ± 5.3 |
a Values are reported as number or mean ± standard deviation.
Number of Injuries, Total Practice Time, Athlete Exposure and Injury Rate
| Gender | Male | Female | ||||
|---|---|---|---|---|---|---|
| School age | Junior high school | High School | University | Junior high school | High school | University |
|
| ||||||
| Match | 3 | 8 | 11 | 1 | 7 | 5 |
| Practice | 19 | 54 | 68 | 26 | 47 | 21 |
|
| 20495.5 | 35678.5 | 35653.5 | 19263.5 | 19793 | 4133 |
|
| ||||||
| Match | 215 | 205 | 677 | 198 | 204 | 185 |
| Practice | 4849 | 6968 | 9621 | 4718 | 4323 | 1194 |
|
| ||||||
| Practice | 0.9 | 1.5 | 2.5 | 1.3 | 2.4 | 5.1 |
|
| ||||||
| Match | 14.0 | 39.0 | 16.1 | 5.1 | 34.3 | 27.0 |
| Practice | 3.9 | 8.0 | 8.9 | 5.5 | 10.9 | 17.6 |
a Total practice time = Σ (number of participants × hours of practice).
b Athlete exposure = Σ number of participants.
c Injury rate per 1000 hour = [∑(No. of injuries)/∑{(No. of participants) × (hours of practice)}] × 1,000
d Injury rate per 1000 athlete exposure = Σ (No. of injuries)/Σ (No. of participants) × 1,000.
Analysis of Variance Results for the Differences in Injury Rate (IR) 1000 Hours, IR 1000 Athlete Exposures (AE) or Proportions
| Factor | SS | DF | SS/δ2W | P Values |
|---|---|---|---|---|
|
| ||||
| Main effect | ||||
| Age | 1.89 | 2 | 30.7 | 0.000 |
| Gender | 1.05 | 1 | 17.1 | 0.000 |
| Interaction | ||||
| Age × Gender | 0.43 | 2 | 7.0 | 0.030 |
|
| ||||
| Main effect | ||||
| Age | 28.0 | 2 | 14.6 | 0.001 |
| Geder | 0.77 | 1 | 0.4 | 0.527 |
| Matches/practice | 27.9 | 1 | 14.5 | 0.000 |
| Interaction | ||||
| Age × Geder | 6.4 | 2 | 3.3 | 0.191 |
| Age × Matches/practice | 9.1 | 2 | 4.7 | 0.095 |
| Geder × Matches/practice | 2.6 | 1 | 1.4 | 0.242 |
|
| ||||
| Main effect | ||||
| Trauma/overuse | 1006.5 | 1 | 74.6 | 0.000 |
| Matches/practice | 0.0 | 1 | 0.0 | 1.000 |
| Interaction | ||||
| Trauma/overuse × Matches/practice | 1.3 | 1 | 0.1 | 0.754 |
Differences in Injury Severity, Based on Chi-Squared Tests [a]
| Severity | Slight Injuries | Other Injuries [ | Total | P Values |
|---|---|---|---|---|
|
| ||||
| Male | 131 (81.9) | 29 (18.1) | 160 (100) | 0.286 |
| Female | 92 (86.8) | 14 (13.2) | 106 (100) | |
|
| ||||
| Junior high school | 43 (87.8) | 6 (12.2) | 49 (100) | 0.019 |
| High school | 101 (89.4) | 12 (10.6) | 113 (100) | |
| University | 79 (76.0) | 25 (24.0) | 104 (100) | |
|
| ||||
| Trauma | 39 (59.1) | 27 (40.9) | 66 (100) | 0.000 |
| Overuse | 184 (92.0) | 16 (8.0) | 200 (100) | |
|
| ||||
| Match | 34 (85.0) | 6 (15.0) | 40 (100) | 0.811 |
| Practice | 187 (83.5) | 37 (16.5) | 224 (100) |
a Values are peresented as No. (%).
b Injuries that required rest from practice or matches.
Figure 1.Proportion of Injury Type by Match and Practice