Table 3.
Antibiotic knowledge score of Lebanese consumers in Mount Lebanon based on sociodemographic characteristics*.
| Sociodemographic characteristic | n | Antibiotic knowledge score1 n (%) | p-value | ||
|---|---|---|---|---|---|
| Poor | Moderate | Good | |||
| Total population | 400 | 173 (34.6) | 141 (28.2) | 186 (37.2) | |
| Gender | |||||
| Male | 206 | 84 (40.8) | 59 (28.6) | 63 (30.6) | 0.018 |
| Female | 294 | 89 (30.8) | 82 (27.9) | 123 (41.8) | |
| Age, years | |||||
| <25 | 59 | 15 (25.4) | 17 (28.8) | 27 (45.8) | 0.024 |
| 25-34 | 122 | 28 (23.0) | 41 (33.6) | 53 (43.4) | |
| 35-44 | 140 | 53 (37.9) | 35 (25.0) | 52 (37.1) | |
| 45-54 | 96 | 39 (40.6) | 26 (27.1) | 31 (32.3) | |
| >54 | 83 | 38 (45.8) | 22 (26.5) | 23 (27.7) | |
| Education | |||||
| <Brevet | 37 | 26 (70.3) | 8 (21.6) | 3 (8.1) | 0.000 |
| Brevet | 68 | 41 (60.3) | 19 (27.9) | 8 (11.8) | |
| High school | 128 | 57 (44.5) | 37 (28.9) | 34 (26.6) | |
| Bachelor’s degree | 197 | 36 (18.3) | 56 (28.4) | 105 (53.3) | |
| Master’s degree and beyond | 70 | 13 (18.6) | 21 (30) | 36 (51.4) | |
| Current monthly income in LBP2 | |||||
| <999,000 | 65 | 35 (53.8) | 22 (33.8) | 8 (12.3) | 0.000 |
| 1,000,000-1,999,000 | 162 | 77 (47.5) | 49 (30.2) | 36 (22.2) | |
| 2,000,000-2,999,000 | 104 | 24 (23.1) | 29 (27.9) | 51 (49.0) | |
| 3,000,000-3,999,000 | 80 | 15 (18.8) | 19 (23.8) | 46 (57.5) | |
| 4,000,000-4,999,000 | 25 | 11 (44.0) | 7 (28.0) | 7 (28.0) | |
| ≥5,000,000 | 64 | 11 (17.2) | 15 (23.4) | 38 (59.4) | |
| Marital status | |||||
| Single | 188 | 63 (33.5) | 52 (27.7) | 73 (28.8) | 0.960 |
| Married | 240 | 83 (34.6) | 69 (28.8) | 88 (36.7) | |
| Divorced | 47 | 16 (34.0) | 13 (27.7) | 18 (38.3) | |
| Widowed | 25 | 11 (44.0) | 7 (28.0) | 7 (28.0) | |
| Allergies on consumption of antibiotics | |||||
| Yes | 39 | 8 (20.5) | 8 (20.5) | 23 (59.0) | 0.013 |
| No | 461 | 165 (35.8) | 133 (28.9) | 163 (35.4) | |
1
=A poor score of 0-2/7, moderate score of 3-5/7, and good score of 6-7/7.
2
LBP=Lebanese pound.
*
Chi-square was used to compare antibiotic knowledge among the different sociodemographic groups