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. Author manuscript; available in PMC: 2013 Mar 1.
Published in final edited form as: Nutr Metab Cardiovasc Dis. 2010 Nov 25;22(3):223–230. doi: 10.1016/j.numecd.2010.07.007

Table 4.

Logistic regression analysis with high CRP+ as the dependent variable and smoking, alcohol intake and tea intake as the independent variables

OR1 (95% CI) OR2 (95% CI)
Smoking
Never smoker 1.00 1.00
Ex smoker 1.43 0.89-2.32 1.31 0.81-2.15
>0-10 cig/day 1.05 0.71-1.55 1.19 0.80-1.78
>10-20 1.36 0.96-1.91 1.61 1.13-2.28
>20 1.51 0.98-2.33 1.69 1.08-2.63
Alcohol intake
Never drinkers 1.00 1.00
Occasional/light 0.93 0.57-1.53 0.95 0.58-1.58
Moderate 1.33 1.00-1.77 1.34 1.00-1.79
Heavy 1.40 1.00-1.95 1.37 0.97-1.92
Tea intake
Never 1.00 1.00
<250 g/month 0.74 0.53-1.04 0.69 0.49-0.98
250 g/month 0.95 0.70-1.30 0.92 0.67-1.28
>250 g/month 1.12 0.83-1.51 1.05 0.78-1.43
+

The reference category is <=3mg/L

OR1 Adjusted for age, kcal/day, occupation, education, income, physical activity, CVD, and assay batch; In addition the smoking analysis was adjusted for alcohol and tea consumption, the alcohol analysis was adjusted for smoking and tea consumption, and the tea consumption analysis was adjusted for smoking and alcohol consumption.

OR2 As above plus BMI