Table 9 Association between knowledge and some socio-demographic characteristics of consumers (n = 509)
Demographic factors | Variables | Poor knowledge (score < 70%) n (%) | Good knowledge (score ≥ 70%) n (%) | |
|---|---|---|---|---|
1 | Gender | Male | 218 (84.5) | 40 (15.5) |
Female | 216 (86.1) | 35 (13.9) | ||
X2 = 0.620, p-value = 0.246 | ||||
2 | Age group | 18–30 | 315 (84.2) | 59 (15.8) |
31–40 | 80 (90.9) | 8 (9.1) | ||
41–50 | 26 (86.7) | 4 (13.3) | ||
≥ 51 | 13 (76.5) | 4 (23.5) | ||
X2 = 3.647, p-value = 0.302 | ||||
3 | Educational level | No formal education | 1 (50) | 1 (50) |
Primary education | 6 (100) | 0 (0) | ||
Secondary education | 68 (88.3) | 9 (11.7) | ||
Tertiary Education | 359 (84.7) | 65 (15.3) | ||
X2 = 3.705, p-value = 0.295 | ||||
4 | Occupation | Professional | 75 (78.1) | 21 (21.9) |
Public/civil servant | 28 (82.4) | |||
Artisan | 39 (97.5) | 1 (2.5) | ||
Business Personnel | 89 (89.9) | 10 (10.1) | ||
Farmer | 7 (100) | 0 (0) | ||
Student | 137 (81.1) | 32 (18.9) | ||
Unemployed | 59 (92.2) | 5 (7.8) | ||
X2 = 16.607, p-value = 0.011* | ||||
5 | Proximity of residence to the pharmacy | Very near | 67 (77.9) | 19 (22.1) |
Relatively near | 102 (82.9) | 21 (17.1) | ||
Not too far | 154 (88) | 21 (12) | ||
Far | 111 (88.8) | 14 (11.2) | ||
X2 = 6.526, p-value = 0.089 | ||||