Table 3 Results of logistic regression analysis for factors influencing the purchase of ISHI

Deprivation of the provinces

REF: Low

Medium

0.77

− 4.69

(0.68–0.85)

 < 0.01

0.75

− 3.87

(0.65–0.87)

 < 0.001

High

0.62

− 5.26

(0.51–0.74)

 < 0.01

0.47

− 6.46

(0.37–0.59)

 < 0.001

Sex

REF: female

Mail

0.75

− 5.82

(0.68–0.82)

 < 0.01

–

–

–

–

Age

REF: 0–16

25–17

1.54

3.93

(1.24–1.92)

 < 0.01

1.8

4.08

(1.35–2.38)

 < 0.001

49–26

1.63

5.72

(1.38–1.94)

 < 0.01

1.91

5.47

(1.51–2.42)

 < 0.001

69–50

1.18

1.66

(0.96–1.45)

0.09

1.17

1.14

(0.88–1.56)

0.25

health insurance

REF: NO

Yes

3.20

7.11

(2.32–4.42)

 < 0.01

3.08

5.34

(2.03–4.66)

 < 0,001

lifestyle

1

0.83

− 0.83

(0.54–1.28)

0.4

1.01

0.02

(0.29–3.47)

0.98

2

1.2

0.63

(0.67–2.13)

0.52

2.13

1.04

(0.5–8.98)

0.3

Family health history

REF: NO

Yes

0.86

− 1.55

(0.71–1.04)

0.12

0.89

− 0.95

(0.7–1.12)

0.34

Health status

REF: Good

medium

1.28

2.75

(1.07–1.53)

 < 0.01

–

–

–

–

Bad

0.89

− 0.28

(0.4–1.96)

0.78

–

–

–

–

Health expectations

REF: NO

Yes

0.56

− 3.01

(0.38–0.81)

 < 0.01

0.52

− 2.92

(0.34–0.81)

 < 0.001

Women’s health problems

REF: NO

Yes

–

–

–

–

1.34

1.92

(0.99–1.82)

0.05

Log likelihood

− 7742.29

− 4747.75

LR

LR chi2 = 215.25

Prob > chi2 = 0.0000

LR chi2(8) = 153.78

Prob > chi2 = 0.0000