Table 3 Logistic regression models predicting PIDAQ and its various components by demographical variables (N = 2637)

Gender

Males (ref)

–

–

–

–

–

–

–

–

–

–

Females

1.68

(1.42–1.97)^a

1.74

(1.45–2.10)^a

0.71

(0.61–0.84)

0.69

(0.58–0.83)^a

1.12

(0.95–1.3)

1.12

(0.94–1.34)

1.58

(1.34–1.86)

1.70

(1.41–2.1)^a

1.94

(1.65–2.27)^a

1.93

(1.61–2.31)^a

Grade

Intermediate School (ref)

–

–

–

–

–

–

–

–

–

–

High School

0.97

(0.83–1.14)

1.1

(0.81–1.48)

1.1

(0.94–1.3)

0.95

(0.71–1.28)

0.87

(0.74–1.02)

0.97

(0.72–1.31)

0.91

(0.77–10.7)

1.07

(0.79–1.45)

1.33

(1.1–1.5)^a

1.10

(0.81–1.48)

Age (years)

1.03

(0.99–1.03)

1.06

(0.97–1.15)

0.95

(0.91–0.99)

0.94

(0.87–1.02)

1.04

(0.99–10.9)

1.04

(0.96–1.12)

1.05

(1.01–1.10)

1.1

(0.99–1.17)

0.94

(0.90–0.99)^a

0.98

(0.91–1.07)

Father’s education level

No/School (ref)

–

–

–

–

–

–

–

–

–

–

University

1.39

(1.18–1.64)^a

1.34

(1.11–1.61)^a

0.78

(0.66–0.92)

0.88

(0.73–1.05)

1.14

(0.97–1.35)

1.1

(0.88–1.26)

1.31

(1.11–1.55)

1.22

(1.01–1.47)^a

1.2

(0.99–1.39)

1.25

(1.04–1.60)^a

Mother’s education level

No/School (ref)

–

–

–

–

–

–

–

–

–

–

University

1.27

(1.08–1.50)*

1.13

(0.94–1.36)

0.72

(0.61–0.85)

0.76

(0.63–0.91)^a

1.24

(1.05–1.45)^a

1.18

(0.98–1.41)

1.26

(1.07–1.49)

1.14

(0.94–1.37)

1.08

(0.91–1.27)

1.08

(0.90–1.30)