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Table 3 Modeling DMFT based on Negative Binomial regression modelb

From: The association between beverage consumption pattern and dental problems in Iranian adolescents: a cross sectional study

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

  1. aStatistically significant
  2. bDaily consumption was used as reference variable
  3. cModel 1 was adjusted for plaque index
  4. dModel 2 was adjusted for plaque index and 7 groups of beverage
  5. eModel 3 was adjusted for plaque index, tooth brushing status and gender
  6. fModel 4 was adjusted for all variables