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Table 2 Logistic regression model for risk factors associated with prehypertension

From: Risk factors for prehypertension and their interactive effect: a cross- sectional survey in China

Variables

Univariate analysis

Multivariate analysis

OR

95%CI

OR

95%CI

Gender

 Female

1.00(ref.)

–

1.00(ref.)

–

 Male

1.65

1.32–2.06

1.16

0.85–1.58

Age (years)

1.01

1.00–1.02

1.01

1.00–1.02

Educational level

 Elementary level or lower

1.00(ref.)

–

1.00(ref.)

–

 Middle school graduate

0.99

0.76–1.28

0.99

0.74–1.33

 High school graduate or higher

1.03

0.78–1.34

1.24

0.90–1.69

Marital status

 Currently married

1.00(ref.)

–

  

 Currently not married

0.99

0.74–1.33

0.99

0.72–1.37

Income (yuan)

 0–2000

1.00(ref.)

–

1.00(ref.)

–

 2000–4000

1.18

0.95–1.48

0.98

0.76–1.27

  > 4000

1.25

0.76–2.07

0.87

0.49–1.53

 Smoking

1.81

1.42–2.30

1.67

1.22–2.29

 Family history of cardiovascular diseases

1.45

1.11–1.89

1.52

1.14–2.02

 General obesity

1.58

1.15–2.17

1.51

1.15–1.97

 Abdominal obesity

2.08

1.67–2.60

1.94

0.89–1.60

LAP

 Q1

1.00(ref.)

–

1.00(ref.)

–

 Q2

1.10

0.88–1.51

0.96

0.68–1.34

 Q3

1.69

1.24–2.31

1.32

0.93–1.87

 Q4

3.70

2.69–5.08

2.58

1.76–3.80