Table 3.
Modeling DMFT based on Negative Binomial regression modelb
| Parameter and confounders | Model 1c IRR (95% CI) |
Model 2d IRR (95% CI) |
Model 3e IRR (95% CI) |
Model 4f IRR (95% CI) |
P-value |
|---|---|---|---|---|---|
| Plaque index | 1.23 (1.13, 1.34)a | 1.23 (1.13, 1.34)a | 1.27 (1.15, 1.39)a | 1.25 (1.14, 1.37)a | < 0.001 |
| Milk beverages | 0.006 | ||||
| Occasionally | 1.10 (0.94, 1.30) | 1.11 (0.95, 1.31) | |||
| Weekly | 1.38 (1.09, 1.74)a | 1.38 (1.09, 1.74)a | |||
| Never | 1.31 (1.03, 1.67)a | 1.34 (1.05, 1.71)a | |||
| Milk derivatives | 0.760 | ||||
| Occasionally | 0.93 (0.74, 1.18) | 0.93 (0.73, 1.17) | |||
| Weekly | 0.92 (0.70, 1.20) | 0.92 (0.70, 1.20) | |||
| Never | 0.94 (0.71, 1.23) | 0.94 (0.72, 1.24) | |||
| Yogurt drinks | 0.121 | ||||
| Occasionally | 1.08 (0.90, 1.30) | 1.08 (0.90, 1.30) | |||
| Weekly | 1.14 (0.91, 1.42) | 1.13 (0.91, 1.41) | |||
| Never | 1.15 (0.91, 1.45) | 1.15 (0.91, 1.45) | |||
| Tea beverages | 0.759 | ||||
| Occasionally | 1.04 (0.90, 1.20) | 1.03 (0.90, 1.19) | |||
| Weekly | 1.14 (0.87, 1.50) | 1.12 (0.85, 1.48) | |||
| Never | 0.96 (0.80, 1.14) | 0.97 (0.81, 1.16) | |||
| Sweetened soft beverages | 0.127 | ||||
| Occasionally | 0.85 (0.73, 0.99)a | 0. 85 (0.74, 1.0) | |||
| Weekly | 0.90 (0.71,1.15) | 0.91 (0.71, 1.15) | |||
| Never | 0.61 (0.37,0.99)a | 0.64 (0.39, 1.06) | |||
| Natural fruit juice | 0.505 | ||||
| Occasionally | 1.21 (0.96, 1.53) | 1.21 (0.96, 1.53) | |||
| Weekly | 1.27 (0.97, 1.67) | 1.27 (0.97, 1.66) | |||
| Never | 1.01 (0.77, 1.31) | 1.00 (0.76, 1.31) | |||
| Other hot beverages | 0.882 | ||||
| Occasionally | 1.03 (0.80, 1.33) | 1.02 (0.79, 1.32) | |||
| Weekly | 0.95 (0.72, 1.25) | 0.95 (0.72, 1.25) | |||
| Never | 1.04 (0.81, 1.33) | 1.03 (0.80, 1.32) | |||
| Gender | 0.99 (0.86, 1.14) | 0.96 (0.83, 1.10) | 0.727 | ||
| Tooth brush | 1.11 (0.96, 1.28) | 1.10 (0.95, 1.28) | 0.094 |
aStatistically significant
bDaily consumption was used as reference variable
cModel 1 was adjusted for plaque index
dModel 2 was adjusted for plaque index and 7 groups of beverage
eModel 3 was adjusted for plaque index, tooth brushing status and gender
fModel 4 was adjusted for all variables