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Table 4 Modeling Tooth Wear Index based on logistic 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

1.20 (0.80, 1.80)

1.13 (0.72, 1.77)

1.15 (0.74, 1.81)

1.06 (0.65, 1.73)

0.810

Milk beverages

    

0.707

 Occasionally

 

0.86 (0.37, 2.02)

 

0.86 (0.36, 2.04)

 

 Weekly

 

1.59 (0.52, 4.87)

 

1.66 (0.54, 5.12)

 

 Never

 

0.50 (0.12, 2.06)

 

0.47 (0.11, 2.01)

 

Milk derivatives

    

0.302

 Occasionally

 

0.86 (0.28, 2.63)

 

0.88 (0.28, 2.71)

 

 Weekly

 

1.01 (0.28, 2.63)

 

1.03 (0.28, 2.71)

 

 never

 

1..43 (0.38, 5.37)

 

1.49 (0.39, 5.65)

 

Yogurt drinks

    

0.428

 Occasionally

 

0.94 (0.36, 2.46)

 

0.93 (0.35, 2.45)

 

 Weekly

 

1.76 (0.22, 2.57)

 

0.76 (0.22, 2.59)

 

 never

 

1.61 (0.55, 4.67)

 

1.58 (0.53, 4.72)

 

Tea beverages

    

0.147

 Occasionally

 

1.21 (0.54, 2.70)

 

1.22 (0.54, 2.75)

 

 Weekly

 

2.43 (0.67, 8.21)

 

2.46 (0.69, 8.75)

 

 never

 

1.91 (0.80, 4.57)

 

1.80 (0.74, 4.40)

 

Sweetened soft beverages

    

< 0.0001

 Occasionally

 

0.27 (0.13, 0.55)a

 

0.27 (0.13, 0.55)a

 

 Weekly

 

0.06 (0.01, 0.51)

 

0.06 (0.01, 0.50)a

 

 never

 

Empty

 

Empty

 

Natural fruit juice

    

0.73

 Occasionally

 

1.75 (0.46, 6.67)

 

1.77 (0.47, 6.90)

 

 Weekly

 

2.99 (0.69, 12.98)

 

3.02 (0.69, 13.22)

 

 never

 

3.58 (0.86, 14.97)

 

3.58 (0.85, 15.16)

 

Other hot beverages

    

0.730

 Occasionally

 

1.29 (0.37, 4.49)

 

1.26 (0.36, 4.43)

 

 Weekly

 

1.17 (0.30, 4.55)

 

1.15 (0.29,4.47)

 

 never

 

0.98 (0.29, 3.32)

 

0.96 (0.28,3.29)

 

Gender

  

0.98 (0.49, 1.97)

0.97 (0.46, 2.06)

0.878

Tooth brush

  

0.87 (0.43, 1.75)

0.81 (0.37, 1.76)

0.806

  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