Table 3.

Covariate relationships to ERP

A. Univariate relationships between subject characteristics and ERP status
	All sports pooled (univariable model)
	ERP		Inferior ERP subtype
	OR	p*	OR	p*
Demographics
Young age, per year increase	0.80 (0.67-0.96)	0.019	---	---
Sex, male vs. female	4.47 (3.03-6.61)	<0.001	---	---
Black race, vs. non-black	5.83 (3.72-9.15)	<0.001	18.32 (8.60-39.04)	<0.001
Anthropometrics
Height, per inches	1.12 (1.06-1.18)	<0.001	---	---
ECG data (on post season ECG)
Heart rate, per 10bpm decrease	1.52 (1.28-1.81)	<0.001	2.32 (1.51-3.56)	<0.001
QRS, per 10 msec	1.26 (1.10-1.44)	0.001	---	---
Sokolow-Lyon index, per mV	2.36 (1.98-2.82)	<0.001	1.92 (1.38-2.67)	<0.001
Sokolow-Lyon index, >3.5mV	3.82 (2.77-5.26)	<0.001	3.45 (1.70-6.97)	0.001
Training characteristics
Endurance training, per hour	1.07 (1.00-1.13)	0.034	---	---
Total training, per hour	1.05 (1.01-1.09)	0.01	---	---
Medical history
Medication use	0.64 (0.41-1.00)	0.049	---	---
B. Multivariable model describing associations with ERP status.
	All sports pooled (multi-variable model)
	ERP		Inferior ERP subtype
	OR	p*	OR	p*
Demographics
Sex, male vs. female	2.21 (1.40-3.47)	0.001	---	---
Black race, vs. non-black	5.84 (3.54-9.61)	<0.001	21.09 (9.07-49.08)	<0.001
ECG data (on post season ECG)
Heart rate, per 10bpm decrease	1.54 (1.26-1.87)	<0.001	2.41 (1.48-3.93)	<0.001
Sokolow-Lyon index, per mV	2.08 (1.71-2.52)	<0.001	2.44 (1.33-4.46)	0.004

^*compared to ERP negative subjects