Appendix Table A8.

Logistic regression results for the model where age, sex, Post-Concussion Symptom Inventory (PCSI) total score, self-reported prior history of concussion, and the first four principal components of the eye tracking metrics are predictor variables and concussion status is the outcome variable.

Outcome measure	β coefficient	Standard error	95% Confidence Interval	P value	Odds Ratio (95% CI)
Age	0.20	0.10	1.00, 1.49	.04	1.22 (1.00, 1.49)
Sex	0.47	0.30	0.88, 2.89	.12	1.60 (0.88, 2.90)
PCSI total score	0.09	0.01	1.07, 1.12	< .001	1.10 (1.07, 1.12)
Prior history of concussion	0.59	0.31	0.99, 3.35	.05	1.82 (0.99, 3.36)
PC1	−0.38	0.07	0.59, 0.78	< .001	0.68 (0.60, 0.78)
PC2	−0.03	0.12	0.76, 1.23	.79	0.97 (0.76, 1.23)
PC3	−0.24	0.21	0.53, 1.18	.24	0.79 (0.53, 1.18)
PC4	0.28	0.19	0.91, 1.92	.14	1.32 (0.91, 1.92)

Bold values are significant.