. Author manuscript; available in PMC: 2018 Dec 1.

Published in final edited form as: J Transp Health. 2017 Nov 3;7(Pt B):202–208. doi: 10.1016/j.jth.2017.10.003

Table 2.

Cox Regression Models for the Prediction of Driving Cessation

Models	Variables	HR	95% CI	p	Δ χ²
1.	Heart Failure	3.19	1.27–8.02	.014
					4.84^*
2.	Heart Failure	1.70	0.67–4.30	.262
	UFOV	2.90	1.91–4.40	<.001
	DSS	0.94	0.64–1.39	.759
					40.18^***
3.	Heart Failure	2.12	0.78–5.76	.142
	UFOV	2.33	1.40–3.55	.001
	DSS	0.88	0.71–1.50	.884
	Turn 360	1.14	0.80–1.62	.482
	Age	1.05	0.99–1.12	.110
	Far Visual Acuity	0.99	0.96–1.02	.373
	Days Driven Per Week	0.80	0.65–0.98	.030
	Stroke	1.69	0.57–4.96	.340
					16.28^**

Note. HR = Hazard ratio; 95% CI = 95% confidence interval; UFOV = Useful Field of View;DSS = Digit Symbol Substitution;

p < .05,

^**

= p < .01;

^***

= p < .001;

Δ χ² = Chi-square change from previous step; For Turn 360 and UFOV tests, smaller scores indicate better performance; Heart Failure is coded as 1, No Heart Failure is coded as 0; Driving Cessation is coded as 1, No Driving Cessation is coded as 0.