Table 3 Binary logistic regression presenting the relationship of selected socio-demographic factors on various risk factors of stroke

Gender

 Male

2.78

(.87–8.88); .08

2.57

(.98–6.71); .053

.42

(.11–1.56); .19

1.52

(.51–4.53); .444

45.50

(9.60–215.50); .000*

 Female

Age

 Below 60 years

8.30

(2.04–33.74); .003*

11.50

(2.28–57.97); .003*

3.89

(1.02–14.84); .046*

1.78

(.42–7.59); .43

9.28

(1.85–46.52); .007*

 Above 60 years

Education

 Below third level education

.09

(.021–.45); .003*

.07

(.02–.21); .000*

.19

(.06–.54); .002*

.09

(.02–.33); .000*

.024

(.00–.09); .000*

 Above third level education

Occupation

 Employed

5.14

(1.62–16.24); .005*

4.74

(1.80–12.47); .002*

1.50

(.53–4.21); .439

6.81

(2.35–19.78); .000*

35.65

(10.09–92.47); .000*

 Unemployed

Residence

 Rural and semi urban

.19

(.06–.61); .005*

.087

(.032–.237); .000*

.09

(.03–.27); .000*

.55

(.20–1.53); .260

.24

(.09–.60); .002*

 Urban