Research Article

Income and Education as Predictors of Stroke Mortality after the Survival of a First Stroke

Table 2

Relative risk of dying after a stroke ( ).

Stroke-specific mortalityOther causes of death than stroke

Model 123123
RRRR
(P value)(P value)

Education
 Compulsory1 (ref)1 (ref)1 (ref)1 (ref)
 Upper secondary0.81
(0.098)
0.89
(0.384)
1.04
(0.651)
1.14
(0.129)
 University0.54
(0.002)
0.77
(0.203)
0.80
(0.055)
1.06
(0.652)
Income (quartiles)
 1 (lowest)1 (ref)1 (ref)1 (ref)1 (ref)
 20.53
(<0.001)
0.53
(<0.001)
0.58
(<0.001)
0.60
(<0.001)
 30.42
(<0.001)
0.43
(<0.001)
0.31
(<0.001)
0.30
(<0.001)
 40.21
(<0.001)
0.22
(<0.001)
0.32
(<0.001)
0.31
(<0.001)
Stroke category
 Cerebral infarction1 (ref)1 (ref)1 (ref)1 (ref)1 (ref) 1 (ref)
 Subarachnoid haemorrhage0.53
(0.008)
0.60
(0.031)
0.60
(0.033)
0.56
(<0.001)
0.63
(0.003)
0.63
(0.003)
 Intracerebral haemorrhage1.07
(0.699)
1.11
(0.534)
1.11
(0.517)
1.15
(0.209)
1.18
(0.145)
1.18
(0.143)
Stroke, not specified (I64)1.24
(0.385)
1.17
(0.518)
1.17
(0.530)
1.10
(0.523)
1.03
(0.853)
1.03
(0.843)

Controlling for sex, age, age square, stroke category, days of inpatient care, and days square. “Ref” is the reference category. The value to the right of the variable name shows whether the variables have made a significant contribution to the model. Results in bold have .
RR: relative risk. RR > 1.0 means higher likelihood of dying.