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Table 4 Correlation of different sociodemographic and oral health behavior factors with oral hygiene status in all autistic children and their subgroups according to brushing frequency as an effect modifier in relation to OHI-S

From: Oral health and dental caries experience among students aged 7–15 years old with autism spectrum disorders in Tehran, Iran

 

Students who brush once or more daily (n = 142)

Students who brush less than once daily (n = 75)

Total students (N = 217)

Unadjusted OR

(95%CI)

p-Valuea

Unadjusted OR

(95%CI)

p-Valuea

Unadjusted OR

(95%CI)

p-Valuea

Age

 7–11 years

2.73

(1.37, 5.41)

0.001

1.05

(0.41, 2.66)

0.92

2.07

(1.21, 3.56)

0.008

 12–15 years

1

 

1

 

1

 

Gender

 Boy

0.64

(0.26, 1.57)

0.33

0.41

(0.08, 2.19)

0.30

0.62

(0.29, 1.34)

0.23

 Girl

1

 

1

 

1

 

Family income

 $360 or more

1

 

1

 

1

 

 Less than $360

0.55 (0.26,1.16)

0.12

0.81 (0.28, 2.40)

0.71

0.64 (0.34, 1.18)

0.15

Level of ASD

 1(mild)

1.12 (0.57, 2.20)

0.75

1.08 (0.43, 2.72)

0.87

1.09 (0.64, 1.87)

0.76

 2(moderate)

1

 

1

 

1

 

Father’s education level

 Associate degree or lower

1.10 (0.56, 2.13)

0.79

1.15 (0.46, 2.88)

0.77

1.14 (0.67, 1.94)

0.64

 Above associate degree

1

 

1

 

1

 

Mother’s education level

 Associate degree or less

0.76 (0.39, 1.49)

0.42

0.73 (0.28, 1.88)

0.51

0.82 (0.48, 1.40)

0.47

 More than Associate degree

1

 

1

 

1

 

Daily brushing frequency

 Once or more

-

-

-

-

1

 

 Less than once

-

-

-

-

1.78 (1.01, 3.14)

0.045

Tooth brushing routine

 Alone Without help

1

 

1

 

1

 

 With help

7.83 (1.74, 35.37)

0.01

0.51 (0.10, 2.80)

0.44

2.8 (1.13, 6.97)

0.03

Using fluoride containing tooth paste

 Most of the time

1

 

1

 

1

 

 Seldom

0.86 (0.35, 2.08)

0.74

1.16 (0.46, 2.93)

0.76

1.17 (0.64, 2.15)

0.60

Frequency of sugary snack consumption per day

 Once or twice

1

 

1

 

1

 

 More than twice

2.86 (1.07, 7.70)

0.04

1.36 (0.36, 5.12)

0.65

2.21 (1.00, 4.87)

0.049

  1. aSimple Logistic Regression analysis