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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