Skip to main content

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

From: Education and income-based inequality in tooth loss among Brazilian adults: does the place you live make a difference?

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

  1. 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