Table 2.

Logistic regression -Denture related stomatitis.

	Model 1 (Simple logistic regression)			Model 2 (Adjusted multiple logistic regression)			Model 2 (Final adjusted multiple logistic regression)
	Unadjusted OR	95% CI	P-value	Adjusted OR	95% CI	P-value	Final adjusted OR	95% CI	P-value
Gender = f	1.000			1.000
Gender = m	1.116	0.663 1.878	0.681	1.115	0.5534 2.4109	0.701
Category = H0	1.000			1.000
Category = Other	1.175	0.687 2.012	0.556	1.267	0.5359 2.997	0.590
Hypertension = n	1.000			1.000
Hypertension = y	1.168	0.730 1.866	0.517	1.295	0.6362 2.6376	0.475
Diabetes = n	1.000			1.000
Diabetes = y	1.110	0.667 1.846	0.688	1.457	0.6908 3.0721	0.323
Smoker = n	1.022	0.618 1.692	0.932	1.396	0.6715 2.9007
Smoker = y	1.000			1.000		0.372
Clean = does not clean denture	1.000			1.000
Clean = cleans denture	1.423	0.884 2.292	0.147	1.493	0.7643 2.9164	0.241
Sleeps with denture = n	1.000			1.000
Sleeps with denture = y	8.286	4.467 15.370	<0.001*	10.342	5.229 20.4517	<0.0001*	8.56	4.565 16.015	<0.0001*
Denture age (years)	1.025	1.003 1.048	<0.026*	1.030	0.997 1.064	0.078	1.027	0.996 1.059	0.085
Age	1.007	0.980 1.035	0.630	1.027	0.982 1.074	0.239
Intercept				0.008	0.000 0.168	0.002*	0.112	0.057 0.220	<0.001*

OR, Odds ratio; 95% C.I., 95% confidence interval;

^*Statistically significant.