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Table 3 The association between severe erosive wear and independent variables. Unadjusted and adjusted logistic regression models

From: Association of erosive tooth wear and dental caries in Northern Finland Birth Cohort 1966 – an epidemiological cross-sectional study

Variable

Severe erosive wear (BEWE sum score ≥9)

 

No n (%)

Yes n (%)

p-value*

Unadjusted OR (95 % CI)

Adjusted ORa(95 % CI)

Adjusted ORb(95 % CI)

Gender

Female

991 (95.2)

50 (4.8)

<0.001

1

1

1

 

Male

817 (90.5)

86 (9.5)

 

2.1 (1.46–2.99)

1.8 (1.26–2.68)

1.8 (1.25–2.65)

Education

High

827 (94.3)

50 (5.7)

0.037

1

1

1

 

Basic

911 (91.8)

81 (8.2)

 

1.5 (1.02–2.12)

1.1 (0.77–1.65)

1.1 (0.75–1.62)

Marital status

Married/cohabiting

1372 (93.1)

101 (6.9)

0.709

1

Not included

Not included

 

Single

376 (92.6)

30 (7.4)

 

1.1 (0.71–1.66)

  

Restorative treatment need

No

1113 (95.1)

57 (4.9)

<0.001

1

1

Not included

 

Yes

695 (89.8)

79 (10.2)

 

2.2 (1.56–3.16)

2.1 (1.47–3.08)

 

Restorative treatment need

No

1113 (95.1)

57 (4.9)

<0.001

1

Not included

1

 

Moderatec

551 (90.3)

59 (9.7)

 

2.1 (1.43–3.05)

 

2.0 (1.34–2.94)

 

Highd

144 (87.8)

20 (12.2)

 

2.7 (1.58–4.64)

 

2.7 (1.56–4.75)

DMFT

≤14

885 (93.6)

61 (6.4)

0.357

1

Not included

Not included

 

>14

923 (92.5)

75 (7.5)

 

1.2 (0.83–1.67)

  
  1. *p-values, chi-square test
  2. alogistic regression model computed using dichotomized restorative treatment need
  3. blogistic regression model computed using trichotomized restorative treatment need
  4. cD = 1–3
  5. dD ≥ 4