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Table 1 Demographic characteristics of stroke patients and possible predictors (n = 35,730)

From: Analysing and quantifying the effect of predictors of stroke direct costs in South Africa using quantile regression

Categorical variables

n (%)

Gender

 Male

17,585 (49.2)

 Female

18,145 (50.8)

Age (in years)

 18–54

19,474 (54.5)

 55–75

10,446 (29.2)

 76–98

5810 (16.3)

Race

 Black

10,560 (29.6)

 White

12,243 (34.3)

 Indian/Asian

7724 (21.6)

 Coloured

5203 (14.6))

Hypertension

 Yes

19,756 (55.3)

 No

15,974 (44.7)

Cholesterol

 Yes

16,923 (47.4)

 No

18,807 (52.07)

Heart problems

 Yes

19,453 (54.4)

 No

16,277 (45.6)

Diabetes

 Yes

22,183 (62.1)

 No

1354 (37.9)

Continuous variables

Mean

 Age

54.3 years

 Length of stay in hospital (LOS)

19.78 days