Table 3.
Sociodemographic characteristics of subjects who would call “118” for more than 10 stroke symptoms (>50% of 21) compared with those of the remaining respondents
>50%items (%) N = 82 | ≤50%items (%) N = 120 | Prevalence Ratio | CI (95%) | Pr > Chisq | |
---|---|---|---|---|---|
Gender (1 missing value) | |||||
Male | 35(43%) | 56 (47%) | 1 | ||
Female | 47 (57%) | 63 (53%) | 0,93 | 0.74-1.17 | 0,539 |
Age Class | |||||
20-39 | 15 (18%) | 41 (34%) | 1 | ||
40-64 | 45 (55%) | 52 (43%) | 0,73 | 0.56-0.93 | 0,011 |
> = 65 | 22 (27%) | 27 (23%) | 0,75 | 0.56-1.01 | 0,062 |
Education (4 missing value) | |||||
Primary school (1-5 years) or no education | 14 (18%) | 17 (14%) | 1 | ||
Secondary school (6-8 years) | 22 (28%) | 21 (18%) | 0,90 | 0.58-1.38 | 0,631 |
High school (9-13 years) | 36 (45%) | 59(50%) | 1,14 | 0.81-1.61 | 0,441 |
University and over | 8 (10%) | 21 (18%) | 0,90 | 0.90-1.93 | 0,161 |
Area | |||||
Urban | 22 (27%) | 48 (40%) | 1,25 | 1.00-1.56 | 0,052 |
Rural | 50 (61%) | 55 (46%) | 0,79 | 0.65-0.99 | 0,041 |
Mountain | 10 (12%) | 17 (14%) | 1,07 | 0.78-1.47 | 0,657 |