Table 3 Multivariate logistic regression analysis of risk factors associated with health literacy in participants stratified by different socio-demographic characteristics

 Rural

ref

 Urban

0.27

1

(1.08, 1.60)

 15–24

ref

 25–34

0.06

1

(0.67, 1.70)

 35–44

0.29

1

(0.83, 2.14)

 45–54

0.01

1

(0.63, 1.63)

 55–64

− 0.37

1

(0.42, 1.12)

 65–69

− 0.01

1

(0.59, 1.66)

 Illiterate

ref

 Primary school

0.02

1

(0.43, 2.41)

 Junior school

0.03

1

(0.45, 2.32)

 High school

0.82

1

(1.00, 5.13)

 College

1.68

1

(2.35, 12.23)

 Master’s degree or higher

1.90

1

(2.70, 16.46)

 Civil servant

ref

 Teacher

0.60

1

(1.09, 3.07)

 Medical staff

0.88

1

(1.36, 4.32)

 Staff at other public institutions

0.12

1

(0.70, 1.81)

 Student

0.31

1

(0.67, 2.80)

 Farmer

−0.28

1

(0.41, 1.38)

 Worker

−0.79

1

(0.27, 0.78)

 Staff of other enterprises

−0.72

1

(0.30, 0.79)

 Other

−0.45

1

(0.40, 1.02)

 1–3

ref

 4–6

−0.04

1

(0.81, 1.15)

 ≥ 7

0.37

1

(0.73, 2.86)

 < 30,000

ref

 30,000–50,000

0.51

1

(1.01, 2.76)

 50,000–100,000

1.21

1

(2.11, 5.37)

 100,000–300,000

1.41

1

(2.57, 6.57)

 ≥ 300,000

0.65

1

(1.09, 3.35)

 No

ref

 Yes

−0.18

1

(0.70, 0.99)

 Excellent

ref

 Good

0.05

1

(0.86, 1.29)

 General

0.05

1

(0.84, 1.31)

 Relatively poor

0.20

1

(0.76, 1.96)

 Poor

−0.11

1

(0.25, 3.23)

Constant

−3.34

1

–