Table 4.
Count ratios (95% confidence intervals in brackets) of tooth loss in multilevel models with random intercept and fixed effect between individual and municipalities level variables among 35–44-year old in Brazil, 2010
Parameters | Empty model (Model 1) | Model 2b | Model 3c |
---|---|---|---|
Fixed part | Crude Count Ratio (95% CI) | Adjusted Count Ratio (95% CI) | Adjusted Count Ratio (95% CI) |
Individual level variables | |||
Constant | 8.62 (8.02, 9.26) | 8.83 (8.22, 9.48) | 10.29 (9.09,11.65) |
Education (in years of study) | |||
0 to 4 | 1 | 1 | |
5 to 8 | 0.92 (0.90,0.94) | 0.92 (0.90,0.94) | |
9 to 11 | 0.72 (0.70,0.74) | 0.72 (0.70,0.74) | |
> 12 | 0.50 (0.49,0.52) | 0.50 (0.49,0.52) | |
Income (in minimum wages) | |||
Up to 1 | 1 | 1 | |
1 to 2.9 | 0.96 (0.94,0.98) | 0.96 (0.94,0.98) | |
3 to 4.9 | 0.84 (0.82,0.86) | 0.85 (0.82,0.86) | |
> 5 | 0.65 (0.63,0.67) | 0.65 (0.63,0.68) | |
Municipalities level variables | |||
Municipal Human Development Index | |||
Low + Medium | 1 | ||
High | 0.86 (0.76,0.98) | ||
Random part | |||
Area level variance (Random intercept) | 20.09 (15.88,25.41) | 14.17 (11.15,18.02) | 12.37 (9.71,15.76) |
PCVa | −29.46% | −12.7% | |
Median Rate Ratio | MRR = 1.53 | MRR = 1.43 | MRR = 1.39 |
Results of Multilevel Poisson Regression Model assuming random intercept and fixed effect. Exponentiated coefficients; aPCV: Proportional change in variance. bModel 2: Adjusted for individual-level variables: sex, age group, skin color, and time since the last dental visit. cModel 3: Adjusted for individual and municipalities level variables: sex, age group, skin color, time since the last dental visit, presence of fluoridated water supply, and coverage of public oral health service above the Brazilian goal