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

From: Profile of stroke patients treated at a rehabilitation centre in Bangladesh

Variables Hypertension
AOR
(95% CI); p
High blood cholesterol
AOR
(95% CI); p
Diabetes
AOR
(95% CI); p
Added salt
AOR
(95% CI); p
Smoking
AOR
(95% CI); p
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
  1. OR adjusted odds ratio, CI confidence interval
  2. * p < 0.05
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