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

Table 3

Relative risk of dying after a cerebral infarction (𝑛=7,143).

	Stroke-specific mortality			Other causes of death than stroke
	Model 1	2	3	1	2	3
		RR			RR
		(P value)			(P value)
Education	𝑃=𝟎.𝟎𝟎𝟕		𝑃=0.198	𝑃=𝟎.𝟎𝟎𝟔		𝑃=0.102
Compulsory	1 (ref)		1 (ref)	1 (ref)		1 (ref)
Upper secondary	0.78; (0.109)		0.86; (0.345)	1.08; (0.448)		1.18; (0.101)
University	0.45; (0.002)		0.63; (0.083)	0.67; (0.009)		0.90; (0.486)
Income (quartiles)		𝑃<𝟎.𝟎𝟎𝟏	𝑃<𝟎.𝟎𝟎𝟏		𝑃<𝟎.𝟎𝟎𝟏	𝑃<𝟎.𝟎𝟎𝟏
1 (lowest)		1 (ref)	1 (ref)		1 (ref)	1 (ref)
2		0.43; (<0.001)	0.44; (<0.001)		0.57; (<0.001)	0.56; (<0.001)
3		0.35; (<0.001)	0.36; (<0.001)		0.27; (<0.001)	0.27; (<0.001)
4		0.20; (<0.001)	0.22; (<0.001)		0.30; (<0.001)	0.31; (<0.001)

Controlling for sex, age, age square, days of inpatient care, and days square. “Ref” is the reference category. The 𝑃 value to the right of the variable name shows whether the variables have made a significant contribution to the model. Results in bold have 𝑃<0.05.
RR: relative risk. RR > 1.0 means higher likelihood of dying.