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 mortality
Other causes of death than stroke
Model 1
2
3
1
2
3
RR
RR
(P value)
(P value)
Education
Compulsory
1 (ref)
1 (ref)
1 (ref)
1 (ref)
Upper secondary
0.81 (0.098)
0.89 (0.384)
1.04 (0.651)
1.14 (0.129)
University
0.54 (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)
2
0.53 (<0.001)
0.53 (<0.001)
0.58 (<0.001)
0.60 (<0.001)
3
0.42 (<0.001)
0.43 (<0.001)
0.31 (<0.001)
0.30 (<0.001)
4
0.21 (<0.001)
0.22 (<0.001)
0.32 (<0.001)
0.31 (<0.001)
Stroke category
Cerebral infarction
1 (ref)
1 (ref)
1 (ref)
1 (ref)
1 (ref)
1 (ref)
Subarachnoid haemorrhage
0.53 (0.008)
0.60 (0.031)
0.60 (0.033)
0.56 (<0.001)
0.63 (0.003)
0.63 (0.003)
Intracerebral haemorrhage
1.07 (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.