Research Article

Effect of Beverage Consumption Frequency on DMFT Index among Iranian Adult Population: An AZAR Cohort Study

Table 3

Modeling DMFT based on negative binominal regression modela.

Model 1b
RR (95% CI)
-valueModel 2c
IRR (95% CI)
-value

Milk derivativesNever0.95 (0.90–1.01)0.140.99 (0.93–1.05)0.79
Occasionally0.98 (0.93–1.02)0.401.00 (0.95–1.04)0.99
Weekly0.95 (0.91–0.99)0.050.98 (0.94–1.03)0.58

DooghNever1.04 (0.97–1.12)0.201.03 (0.96–1.11)0.37
Occasionally0.99 (0.94–1.05)0.980.99 (0.93–1.04)0.77
Weekly0.98 (0.93–1.04)0.650.99 (0.93–1.04)0.72

Tea and coffee beveragesNever0.88 (0.73–1.04)0.150.87 (0.73–1.05)0.15
Occasionally0.85 (0.64–1.12)0.260.86 (0.65–1.14)0.30
Weekly0.86 (0.77–0.96)<0.010.87 (0.78–0.97)0.01

Natural fruit juice and nonalcoholic beerNever1.02 (0.87–1.20)0.760.97 (0.82–1.14)0.74
Occasionally0.97 (0.83–1.14)0.740.96 (0.82–1.13)0.66
Weekly0.97 (0.83–1.14)0.760.98 (0.83–1.15)0.85

Sugar-sweetened soft beveragesNever1.05 (0.96–1.16)0.230.92 (0.84–1.01)0.10
Occasionally0.99 (0.91–1.08)0.920.93 (0.85–1.01)0.10
Weekly1.02 (0.93–1.11)0.630.98 (0.90–1.07)0.69

a“Daily” consumption frequency was considered as the reference variable, bModel 1 was not adjusted, cModel 2 was adjusted for gender, age, brushing, and socioeconomic status, statistically significant.