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Table 4 Relationship between demographic factors and plaque index by multiple linear regressions*

From: Association of caries experience and dental plaque with sociodemographic characteristics in elementary school-aged children: a cross-sectional study

Predictor Variables

B

Std. Error

P value

Age

2.44

0.50

<0.001

Gender

−1.31

1.56

0.40

District

−0.91

1.67

0.58

Never experienced dental paina

−1.24

1.87

0.50

Often experienced dental painb

0.25

2.15

0.90

Father’s education

  ≤ High schoolc

0.81

4.51

0.85

  > High Schoold

3.14

5.41

0.56

Mother’s education

  ≤ High schoole

−4.88

4.43

0.27

  > High schoolf

−7.79

5.68

0.17

Father’s Occupation

 Self-employmentg

−4.16

2.42

0.08

 Government serviceh

−3.69

2.90

0.20

Mother’s Occupation

 Self-employment

−1.84

2.52

0.46

 Government servicej

2.77

3.61

0.44

 Parent Supervision

−1.83

1.77

0.30

  1. aDental pain experience is a dummy variable taking the value 1 if the respondent is never and zero otherwise
  2. bDental pain experience is a dummy variable taking the value 1 if the respondent is very and little and zero otherwise
  3. cFather education is a dummy variable taking the value 1 if the respondent is ≤high school and zero otherwise
  4. dFather education is a dummy variable taking the value 1 if the respondent is >high School and zero otherwise
  5. eMother education is a dummy variable taking the value 1 if the respondent is ≤high school and zero otherwise
  6. fMother education is a dummy variable taking the value 1 if the respondent is >high School and zero otherwise
  7. gFather occupation is a dummy variable taking the value 1 if the respondent is self-employment and zero otherwise
  8. hFather occupation is a dummy variable taking the value 1 if the respondent is government service and zero otherwise
  9. iMother occupation is a dummy variable taking the value 1 if the respondent is self-employment and zero otherwise
  10. jMother occupation is a dummy variable taking the value 1 if the respondent is government service and zero otherwise
  11. *The regression was adjusted for sex &age