Table 2 Frequency of responses and multinomial logistic regression values (with odds ratio) for predicting the footwear type and brand based on sex, while controlling for competition level
Total (n = 2925) | Male (n = 279) | Female (n = 2646) | Odds ratio (95% CI) | p value | |
|---|---|---|---|---|---|
n (%) | n (%) | n (%) | |||
Shoe type | |||||
Netball | 2278 (78.9) | 83 (30.0) | 2195 (84.1) | – | – |
Running | 354 (12.3) | 50 (18.1) | 304 (11.6) | 4.70 (3.20–6.92) | < 0.001** |
Basketball | 97 (3.4) | 90 (32.5) | 7 (0.3) | 287.57 (125.53–658.78) | < 0.001** |
Cross-trainer | 89 (3.1) | 29 (10.5) | 60 (2.3) | 16.27 (9.48–27.92) | < 0.001** |
Tennis | 34 (1.2) | 17 (6.1) | 17 (0.7) | 17.77 (8.53–37.04) | < 0.001** |
Other | 29 (1.0) | 3 (1.1) | 26 (1.0) | – | – |
Volleyball | 7 (0.2) | 5 (1.8) | 2 (0.1) | 48.45 (8.43–278.65) | < 0.001** |
Not specified | 37 (0.0) | 2 (0.0) | 35 (0.0) | – | – |
Shoe brand | |||||
ASICS | 2444 (84.0) | 143 (51.8) | 2301 (87.4) | – | – |
Mizuno | 171 (5.9) | 8 (2.9) | 163 (6.2) | 0.67 (0.32–1.40) | 0.283 |
Nike | 160 (5.5) | 87 (31.5) | 73 (2.8) | 21.22 (14.21–31.69) | < 0.001** |
Other | 62 (2.1) | 22 (8.0) | 40 (1.5) | – | – |
Adidas | 45 (1.5) | 12 (4.3) | 33 (1.3) | 5.86 (2.81–12.24) | < 0.001** |
Brooks | 22 (0.8) | 4 (1.4) | 18 (0.7) | 4.96 (1.51–16.30) | 0.008* |
Reebok | 5 (0.2) | 0 (0.0) | 5 (0.2) | – | – |
Puma | 0 (0.0) | 0 (0.0) | 0 (0.0) | – | – |
Not specified | 16 (0.0) | 3 (0.0) | 13 (0.0) | – | – |