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Table 5.

Linear modeling results for the association between urinary mutagenicity levels in Salmonella YG1041 +S9 and urinary metabolites (2-NAP, 1-OHP) or wood smoke exposure categories adjusted for smoking (cigarettes/day)

ModelVariableβ (SE)*95% CI
2-NAP and smoking 2-NAP 0.1417 (0.0479) 0.0470-0.2356 
 Smoking 0.0637 (0.0145) 0.0353-0.0922 
1-OHP and smoking 1-OHP 0.0856 (0.0383) 0.0105-0.1607 
 Smoking 0.0639 (0.0147) 0.0350-0.0928 
2-NAP, 1-OHP, and smoking 2-NAP 0.1163 (0.0425) 0.0106-0.2221 
 1-OHP 0.0428 (0.0540) −0.0406-0.1262 
 Smoking 0.0632 (0.0145) 0.0348-0.0916 
Wood smoke and smoking Wood smoke (WS) low 0.5415 (0.2531) 0.0455-1.0376 
 WS high 1.1912 (0.2505) 0.7002- 1.6822 
 Smoking 0.1437 (0.0393) 0.0667- 0.2206 
 WS low* smoking −0.0705 (0.0452) −0.1591- 0.0180 
 WS high* smoking −0.1144 (0.0440) −0.2005- −0.0282 
ModelVariableβ (SE)*95% CI
2-NAP and smoking 2-NAP 0.1417 (0.0479) 0.0470-0.2356 
 Smoking 0.0637 (0.0145) 0.0353-0.0922 
1-OHP and smoking 1-OHP 0.0856 (0.0383) 0.0105-0.1607 
 Smoking 0.0639 (0.0147) 0.0350-0.0928 
2-NAP, 1-OHP, and smoking 2-NAP 0.1163 (0.0425) 0.0106-0.2221 
 1-OHP 0.0428 (0.0540) −0.0406-0.1262 
 Smoking 0.0632 (0.0145) 0.0348-0.0916 
Wood smoke and smoking Wood smoke (WS) low 0.5415 (0.2531) 0.0455-1.0376 
 WS high 1.1912 (0.2505) 0.7002- 1.6822 
 Smoking 0.1437 (0.0393) 0.0667- 0.2206 
 WS low* smoking −0.0705 (0.0452) −0.1591- 0.0180 
 WS high* smoking −0.1144 (0.0440) −0.2005- −0.0282 
*

Regression coefficient β and SE with 95% CI; n = 121.

Interaction factor between wood smoke and smoking.

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