| Literature DB >> 35932361 |
Maddison M Kirk1, Joshua P M Mattock2, Celeste E Coltman3, Julie R Steele2.
Abstract
INTRODUCTION: We explored the footwear profiles and foot-related problems reported by netball players and whether these differed between males and females.Entities:
Keywords: Footwear; Injury; Netball; Performance; Shoes
Year: 2022 PMID: 35932361 PMCID: PMC9357246 DOI: 10.1186/s40798-022-00495-y
Source DB: PubMed Journal: Sports Med Open ISSN: 2198-9761
Fig. 1Flowchart representing the exclusion criteria and the total number of participants included in the study
Characteristics of the male and female netball players who completed the survey and associations between each characteristic variable and sex
| Total | Male | Female | |||
|---|---|---|---|---|---|
| 16–24 | 1574 (53.8) | 96 (34.4) | 1478 (55.9) | 46.72 | < 0.001* |
| 25–34 | 763 (26.1) | 115 (41.2) | 648 (24.5) | 36.63 | < 0.001* |
| 35–44 | 395 (13.5) | 51 (18.3) | 344 (13.0) | 6.02 | 0.014 |
| 45–54 | 150 (5.1) | 13 (4.7) | 137 (5.2) | 0.14 | 0.709 |
| 55–64 | 36 (1.2) | 4 (1.4) | 32 (1.2) | 0.1 | 0.747 |
| 65+ | 7 (0.2) | 0 (0) | 7 (0.3) | 0.74 | 0.39 |
| Australia | 2327 (79.6) | 240 (86.0) | 2087 (78.9) | 7.93 | 0.005* |
| United Kingdom | 415 (14.2) | 3 (1.1) | 412 (15.6) | 43.56 | < 0.001* |
| New Zealand | 99 (3.4) | 20 (7.2) | 79 (3.0) | 13.5 | < 0.001* |
| Other | 51 (1.7) | 13 (4.7) | 38 (1.4) | 15.31 | < 0.001* |
| South Africa | 33 (1.1) | 3 (1.1) | 30 (1.1) | 0.01 | 0.93 |
| Amateur | 1529 (52.3) | 44 (15.8) | 1485 (56.1) | 165.64 | < 0.001* |
| Sub-elite | 1052 (36.0) | 48 (17.2) | 1004 (37.9) | 47.32 | < 0.001* |
| Elite | 332 (11.4) | 186 (66.7) | 146 (5.5) | 937.76 | < 0.001* |
| Not specified | 12 (0.4) | 1 (0.4) | 11 (0.4) | – | – |
| Attack | 860 (29.4) | 91 (32.6) | 769 (29.1) | 1.54 | 0.215 |
| Defence | 807 (27.6) | 81 (29.0) | 726 (27.4) | 0.32 | 0.571 |
| Mid-court | 746 (25.5) | 68 (24.4) | 678 (25.6) | 0.21 | 0.648 |
| Other | 512 (17.5) | 39 (14.0) | 473 (17.9) | 2.66 | 0.103 |
Bonferroni adjusted alpha level = p < 0.05 ÷ number of comparisons
Age = p < 0.0083
Country of competition = p < 0.01
Competition level and playing position = p < 0.0125
*Indicates a significant difference
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 | Male | Female | Odds ratio | ||
|---|---|---|---|---|---|
| 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) | – | – |
| 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) | – | – |
The most frequent category of each independent variable “Netball” and “ASICS” were set as the reference category
*Indicates a significant difference at p < 0.05
**Indicates a significant difference at p < 0.001
Frequency of responses and binary logistic regression values (with odds ratio) for predicting the likelihood of players wearing netball-specific shoes and their footwear for other activities, experiencing foot-related problems and foot pain and whether their foot pain was caused by the shoes they wore during netball and/or had any impact on their sporting performance, based on sex while controlling for competition level
| Total | Male | Female | Odds ratio | ||
|---|---|---|---|---|---|
| Yes | 1065 (36.4) | 124 (44.4) | 941 (35.6) | 0.57a | < 0.001** |
| No | 1860 (63.6) | 155 (55.6) | 1705 (64.4) | (0.44–0.74) | |
| Yes | 2325 (80.4) | 89 (32.6) | 2236 (85.4) | 13.22 | < 0.001** |
| No | 566 (19.6) | 184 (67.4) | 382 (14.6) | (9.87–17.7) | |
| Not specified | 34 (0.0) | 6 (0.0) | 28 (0.0) | ||
| Yes | 2081 (84.3) | 204 (81.6) | 1877 (84.5) | 1.5 | 0.028* |
| No | 389 (15.7) | 46 (18.4) | 343 (15.5) | (1.05–2.14) | |
| Not specified | 455 (0.0) | 29 (0.0) | 426 (0.0) | ||
| Yes | 1185 (56.8) | 114 (54.3) | 1071 (57.0) | 1.08 | 0.612 |
| No | 903 (43.2) | 96 (45.7) | 807 (43.0) | (0.80–1.45) | |
| Yes | 740 (57.7) | 98 (67.6) | 642 (56.4) | 0.61a | 0.010* |
| No | 543 (42.3) | 47 (32.4) | 496 (43.6) | (0.42–0.89) | |
| Yes | 466 (63.4) | 64 (65.3) | 402 (63.1) | 0.87a | 0.567 |
| No | 269 (36.6) | 34 (34.7) | 235 (36.9) | (0.55–1.39) | |
The first category of each independent variable “Yes” and “Males” (for “Sex”) was set as the reference category
*Indicates a significant difference at p < 0.05
**Indicates a significant difference at p < 0.001
aOdds ratio values that were < 1.00, 1.00 was subtracted from the value and expressed as a percentage i.e. (0.57–1.00) * 100 = 42.9%; (0.61–1.00) * 100 = 39.3% and (0.87–1.00) * 100 = 13%
Fig. 2Foot-related problems that male and female respondents (male n = 250; female n = 2220) reported were caused by netball activity during the last 12 months