Univariate logistic regression: assessing the relation of the outcome (ankle injury or no injury) to independent variables separately
| Variable | Odds ratio | p Value | 95% CI |
|---|---|---|---|
| The following variables were all not significant with p>0.10: weight, sex, standard of competition, number of training sessions a week, games played a week, ankle tape, ankle brace, cut of shoe, age of shoes, condition of shoes, running in warm up, ball skills in warm up, and position played. Bold type indicates significantly related to occurrence of ankle injuries. | |||
| Age | |||
| (1) <25 years and 25–34 years | 0.78 | 0.48 | 0.37 to 1.65 |
| (2) <25 years and 35+ years | 0.19 | 0.02 | 0.04 to 0.80 |
| Height | |||
| (1) <169 cm and 170–180 cm | 0.50 | 0.09 | 0.22 to 1.13 |
| (2) <169 cm and 181+ cm | 0.92 | 0.84 | 0.43 to 1.97 |
| History of ankle injury | |||
| No=0, Yes=1 | 5.60 | <0.001 | 2.61 to 11.94 |
| Cost of shoes | |||
| (1) <$99 and $100–200 | 1.13 | 0.76 | 0.52 to 2.46 |
| (2) <$99 and $201+ | 4.89 | 0.003 | 1.70 to 14.15 |
| Warm up time | |||
| (1) None and <10 min | 0.58 | 0.16 | 0.27 to 1.23 |
| (2) None and 10+ min | 0.42 | 0.08 | 0.16 to 1.12 |
| Stretching (warm up) | |||
| (No=0, Yes=1) | 2.26 | 0.03 | 1.09 to 4.71 |