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.

Masood et al.

Masood et al. BMC Public Health 2012 12:989   doi:10.1186/1471-2458-12-989

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