Skip to main content

Table 3 Multiple logistic regression of imputed data comparing individual parental characteristics (6-month and 12-monthly dental visits)

From: Predictors of dental visits among primary school children in the rural Australian community of Lithgow

Variables

Model 5 (N = 665)

Model 6 (N = 665)

Adjusted OR with 95% CIa

Adjusted OR with 95% CIa

Age of the subject

0.91 (0.85, 0.99)*

0.87 (0.80, 0.96)*

Decayed, missing and filled teeth status

NS2

 

 No dmft/DMFT scores

 

1.00

 One or more dmft/DMFT scores

 

0.60 (0.42, 0.88)*

Serves of chocolate per day

1.25 (1.03, 1.52)*

NS2

Education level of the Mother

NS2

 

 University or College

1.00

 High school or vocational training

2.02 (1.23, 3.32)*

Extraction history of Mother

1.04 (1.00, 1.08)*

NS2

Private health insurance coverage

 Yes

1.00

1.00

 No

0.46 (0.34, 0.64)*

0.54 (0.36, 0.80)*

  1. Model 5 - Imputed data with outcome variable as 6-month visit and individual parental characteristics
  2. Model 6 - Imputed data with outcome variable as yearly visit and individual parental characteristics
  3. OR Odds ratio
  4. aConfidence interval
  5. *Statistically significant (p-value < 0.05)
  6. NS2 Non-significant (p-value > 0.05)