Table 5 Logistic regression analysis
Variable | Self-medication (n = 232) | No self-medication (n = 61) | COR[95% CI] | AOR[95% CI] |
|---|---|---|---|---|
Sex (n = 291) | ||||
Male | 108(72.5%) | 41(27.5%) | ||
Female | 122 (85.9%) | 20 (14.1%) | 2.31 [1.27–4.19]** | 2.84[1.33–6.05]** |
Residence (n = 289) | ||||
Rural | 42 (62.7%) | 25 (37.3%) | ||
Urban | 186 (83.8%) | 36 (16.2%) | 3.07 [1.67–5.66]*** | |
Monthly income/ allowance(n = 287) | ||||
Don’t have income | 160 (76.2%) | 50 (23.8%) | ||
Have income | 69 (95.8%) | 8 (4.2%) | 2.69 [1.21–5.98]* | 5.53[1.96–15.63]** |
Year of study | ||||
First year | 78 (73.8%) | 28 (26.4%) | ||
Second year | 56 (73.7%) | 20 (26.3%) | ||
Third year | 61 (88.4%) | 8 (11.6%) | 2.73[1.16–6.43]* | |
Fourth year | 37 (88.1%) | 5 (11.9%) | ||
School | ||||
Public Health | 15 (62.5%) | 9 (37.5%) | ||
Allied Health Professions | 72 (80.0%) | 18 (20.0%) | 7.82[2.08–29.44]** | |
Nursing | 84 (75.0%) | 28 (25.0%) | 6.19 [1.77–21.59]** | |
Pharmacy | 61 (91.0%) | 6 (19.0%) | 6.1[1.87–19.79]** | 25.75 [4.85–136.70]*** |
Mother’s education(n = 290) | ||||
Illiterate | 26 (68.4%) | 12 (31.6%) | ||
Can read and write – Elementary | 73 (76.0%) | 23 (24.0%) | 1.465 [.639–3.357] | |
Middle - Secondary | 91 (82.7%) | 19 (17.3%) | 2.211 [.951–5.141] | |
Tertiary | 36 (90.0%) | 4 (10.0%) | 4.154 [1.203–14.339]* | |
Mother’s work(n = 290) | ||||
Don’t have work | 65 (89.0%) | 8 (11.0%) | ||
Have work | 165 (76.0%) | 52 (24.0%) | 2.56 [1.15–5.68]* | |
Father’s work(n = 284) | ||||
Group 1 | 78 (70.9%) | 32 (29.1%) | ||
Group 2 | 146 (83.9%) | 28 (16.1%) | 2.14[1.20–3.81]* | |
N.B. p ≤ 0.05(*), p ≤ 0.01(**), p ≤ 0.001(***) | ||||