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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)