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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