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Table 3 Summary of binary logistic regression models for (i) Joint Soreness/Pain and AT, (ii) Ligament Damage and AT and (iii) Muscle Strain and NT

From: Perceived Links Between Playing Surfaces and Injury: a Worldwide Study of Elite Association Football Players

Outcome Predictors β S.E. p OR χ 2 p Nagelkere R2
Joint Soreness/Pain on AT Age 0.26 0.08 0.00** 1.32 269.81 < 0.001 0.29
AT Var. 0.18 0.08 0.02* 1.19
Hard 1.11 0.18 0.00** 3.04
Bumpy 0.36 0.17 0.03* 1.43
High Grip 0.50 0.18 0.02* 1.65
Soft 0.82 0.24 0.00** 2.80
Inconsistent 0.55 0.18 0.00** 1.73
Low Grip 0.58 0.20 0.00** 1.79
Ligament Damage on AT AT Var. 0.17 0.07 0.02* 1.19 220.46 < 0.001 0.24
Hard 1.34 0.17 0.00** 3.84
Bumpy 0.69 0.16 0.00** 1.99
High Grip 0.81 0.18 0.00** 2.25
Muscle Strain on NT Hard 0.86 0.18 0.00** 2.35 229.34 0.01 0.25
Soft 0.68 0.18 0.00** 1.98
  1. OR odds ratio
  2. **p < 0.01; *p < 0.05
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