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. 2012 Nov 16;12:989. doi: 10.1186/1471-2458-12-989

Table 4.

Bivariate and Multivariate logistic regression model for independent variables' effect on caries increment at baseline and after five years

Independent Variable   n(%) Caries free after 5 years n(%) Caries free pValue Crude
Adjusted
OR 95% CI†† P OR 95% CI†† P
Gender
 
 
 
0.153
 
 
0.088
 
 
0.143
 
Male
950 (51.1)
679 (71.4)
 
1.19
0.97-1.46
 
1.16*
0.95-1.41
 
 
Female
850 (48.1)
602 (68.4)
 
1
 
 
1
 
 
Ethnicity
 
 
 
0.558
 
 
0.122
 
 
0.958
 
Malay
808 (44.2)
561 (69.4)
 
1.04
0.82-1.32
 
0.99**
0.78-1.25
 
 
Chinese
570 (31.1)
395 (69.3)
 
1.22
0.94-1.58
 
1.12**
0.87-1.45
 
 
Indian
449 (24.5)
323 (71.9)
 
1
 
 
1
 
 
Urban/Rural
 
 
 
<0.001
 
 
<0.001
 
 
<0.001
 
Urban
1200 (65.6)
890 (74.2)
 
1.80
1.46-2.22
 
1.75***
1.42-2.1
 
  Rural 630 (34.4) 391 (62.1)   1     1    

Odds ratio adjusted for ethnicity and urban/rural (*), gender and urban/rural (**), gender and ethnicity (***).

Two tailed statistical significance set at 5% level.

†† Confidence Interval.