Table 4.

Linear regression models of urinary biomarkers

	Overall R2	Predictor variables	Estimates	95% CI	p Value
Ln (8-OHdG)*
Post-shift	0.868	Intercept	1.34	−1.11 to 3.78	0.261
		Ln (post-shift 1-OHPyr)	0.440	0.091 to 0.788	0.017
		Gloves	−1.09	−1.57 to −0.61	0.0002
Ln (1-OHPyr)
Pre-shift	0.569	Intercept	4.91	4.30 to 5.52	<0.0001
		Ln (pre-shift creatinine)	1.10	0.333 to 1.87	0.008
		Smoker	1.09	0.309 to 1.87	0.009
Post-shift	0.920	Intercept	3.04	2.34 to 3.74	<0.0001
		Ln (pre-shift 1-OHPyr)	0.416	0.295 to 0.537	<0.0001
		Ln (post-shift creatinine)	0.712	0.459 to 0.964	<0.0001
		Skin burn history	0.528	0.262 to 0.794	0.001
Ln (1-OHNap)
Pre-shift	0.300	Intercept	6.30	5.56 to 7.03	<0.0001
		Ln (pre-shift creatinine)	1.35	0.256 to 2.44	0.019
Post-shift	0.742	Intercept	4.25	3.07 to 5.44	<0.0001
		Ln (pre-shift 1-OHNap)	0.519	0.351 to 0.688	<0.0001
Ln (2-OHNap)
Pre-shift	0.629	Intercept	7.15	6.74 to 7.55	<0.0001
		Ln (pre-shift creatinine)	0.853	0.340 to 1.37	0.003
		Smoker	0.802	0.282 to 1.32	0.005
Post-shift	0.618	Intercept	2.19	−0.672 to 5.05	0.123
		Ln (pre-shift 2-OHNap)	0.730	0.378 to 1.08	0.0006
		Skin burn history	0.590	0.042 to 1.14	0.037
Ln (2-OHFlu)
Pre-shift	0.669	Intercept	5.33	4.74 to 5.93	<0.0001
		Ln (pre-shift creatinine)	1.32	0.570 to 2.07	0.002
		Smoker	1.32	0.562 to 2.08	0.002
Post-shift	0.775	Intercept	2.76	1.38 to 4.14	0.0007
		Ln (pre-shift 2-OHFlu)	0.700	0.493 to 0.908	<0.0001
Ln (9-Phe)
Pre-shift	0.591	Intercept	4.90	4.18 to 5.63	<0.0001
		Ln (pre-shift creatinine)	1.64	0.725 to 2.56	0.002
		Smoker	1.02	0.094 to 1.96	0.033
Post-shift	0.650	Intercept	4.02	2.56 to 5.48	<0.0001
		Ln (pre-shift 9-OHPhe)	0.355	0.103 to 0.607	0.009
		Ln (post-shift creatinine)	0.707	0.123 to 1.29	0.021

^*No significant predictors identified for pre-shift levels.