| Literature DB >> 32832711 |
Gabriella Acquaye1, Jonathan Quartey2, Samuel Kwakye3.
Abstract
BACKGROUND: Tennis is a popular global sport characterised by repeated, explosive motions and the involvement of several muscle groups during different strokes, which fluctuates randomly from brief periods of maximal or near maximal work to longer periods of moderate and low intensity activity.Entities:
Keywords: injury prevention; overuse injury; pattern of injury; tennis; tennis injury; tennis player
Year: 2020 PMID: 32832711 PMCID: PMC7433294 DOI: 10.4102/sajp.v76i1.1429
Source DB: PubMed Journal: S Afr J Physiother ISSN: 0379-6175
Demographics and characteristics (n = 142).
| Variable | Frequency | % |
|---|---|---|
| Male | 119 | 83.8 |
| Female | 23 | 16.2 |
| Right | 132 | 93.0 |
| Left | 10 | 7.0 |
| Small | 21 | 14.8 |
| Medium | 76 | 53.5 |
| Large | 45 | 31.7 |
| Eastern | 33 | 23.2 |
| Semi-western | 19 | 13.4 |
| Continental | 62 | 43.7 |
| Western | 28 | 19.7 |
Pattern of injuries amongst the players (n = 142).
| Injury | Frequency | % |
|---|---|---|
| 89 | 52.35 | |
| Shoulder | 31 | 18.24 |
| Arm | 5 | 2.94 |
| Elbow | 26 | 15.29 |
| Wrist/hand | 27 | 15.88 |
| 76 | 44.71 | |
| Hip/thigh | 17 | 10 |
| Knee | 39 | 22.94 |
| Ankle | 20 | 11.76 |
| 5 | 2.94 | |
| Neck | 1 | 0.59 |
| Back | 1 | 0.59 |
| Spine | 3 | 1.76 |
| Total injuries | 170 | 100 |
Reason for referral and use of protective equipment (n = 142).
| Reason for referral | Frequency | % |
|---|---|---|
| New injury | 51 | 35.9 |
| Aggravated injury (symptoms worsened after tennis play) | 58 | 40.8 |
| Recurrent (symptoms occur without any known factor) | 27 | 19.0 |
| Others | 5 | 3.5 |
| Yes | 35 | 24.6 |
| No | 107 | 75.4 |
FIGURE 1Mechanism of injury.
FIGURE 2Personnel managing injury.
Level of skill, warm-up, court surface and shoe type (n = 142).
| Variable | Frequency | % |
|---|---|---|
| Yes | 78 | 54.9 |
| No | 25 | 17.6 |
| Sometimes | 39 | 27.6 |
| Beginner | 5 | 3.5 |
| Intermediate | 105 | 73.9 |
| Professional | 32 | 22.5 |
| Hard | 113 | 79.6 |
| Clay | 7 | 4.9 |
| Grass | 2 | 1.4 |
| Carpet | 1 | 0.7 |
| More than one surface | 19 | - |
| Tennis shoe | 120 | 84.5 |
| Cleated | 4 | 2.8 |
| Running shoe | 14 | 9.9 |
| Walking shoe | 1 | 0.7 |
| More than one shoe type | 3 | 2.1 |
FIGURE 3Initial treatment given.
Association between warm-up before play and cause of injury.
| Test | Value | df | Asym. sig. (2-sided) |
|---|---|---|---|
| Pearson chi square | 10.779† | 10 | 0.375 |
| Likelihood ratio | 14.940 | 10 | 0.134 |
| 142 | - | - |
df, degrees of freedom.
Association between shoe type and cause of injury.
| Test | Value | df | Asym. sig (2-sided) |
|---|---|---|---|
| Pearson chi square | 56.244† | 50 | 0.253 |
| Likelihood ratio | 38.213 | 50 | 0.888 |
| 142 | - | - |
df, degrees of freedom.