Sports injuries patterns in children and adolescents according to their sports participation level, age and maturation

Table 2 Multinomial logistic regression models adjusted for the dependent variable injury type for each sex

Dependent variable	Predictor	B (Std error)	p	odds ratio	95% CI odds ratio
Type of injury¹		Boys³
Sprain	Intercept	− 0.793 (0.276)	.004
	SP level (0)	0.100 (0.672)	.882	1.105	(0.296, 4.125)
	SP level (1)	2.180 (0.838)	.009	8.842	(1.713, 45.651)
Fracture	Intercept	− 0.480 (0.250)	.055
	SP level (0)	− 1.600 (1.090)	.142	0.202	(0.024, 1.709)
	SP level (1)	1.984 (0.821)	.016	7.269	(1.455, 36.306)
Type of injury²		Girls⁴
Strain	Intercept	2.272 (0.810)	.005
	Maturity offset	− 0.538 (0.224)	.016	0.584	(0.376, 0.906)
	SP level(0)	− 1.249 (0.756)	.098	0.287	(0.065, 1.262)
	SP level(1)	− 2.012 (0.824)	.015	0.134	(0.027, 0.673)
	SP level(2)	− 3.029 (1.239)	.015	0.048	(0.004, 0.549)
Fracture	Intercept	2.050 (0.895)	.022
	Maturity offset	− 0.842 (0.253)	< .001	0.431	(0.262, 0.707)
	SP level(o)	− 1.869 (0.974)	.055	0.154	(0.023, 1.041)
	SP level(1)	− 1.541 (0.932)	.098	0.214	(0.034, 1.330)
	SP level(2)	− 0.572 (0.945)	.545	0.564	(0.089, 3.596)

¹The reference category is strain
²The reference category is sprain
³Model X²(4) = 15.165, p = .004; Cox & Snell R² = .120; Nagelkerke R² = .135; McFadden R² = .059
⁴Model X²(8) = 28.770, p < .001; Cox & Snell R² = .290; Nagelkerke R² = .328; McFadden R² = .158

ISSN: 2052-1847