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. 2019 Nov 26;14(11):e0225499. doi: 10.1371/journal.pone.0225499

Table 5. Association between respondents’ characteristics and obtaining antibiotics from pharmacies without prescription.

Total
N = 581
Obtained antibiotic from pharmacy without prescription^
N = 133
p-value^^ OR [95% CI] ^^^
Participant type* 0.22 1.00
 Student 377 80 (21.2%) 1.29 [0.86,1.93]
 Family member 198 51 (25.8%)
Sex* 0.67 1.00
 Male 67 17 (25.4%) 0.88 [0.49,1.58]
 Female 504 116 (23.0%)
Age in years 0.28 1.00
 <21 224 55 (24.6%) 0.74 [0.47,1.16]
 21–25 226 44 (19.5%) 1.08 [0.66,1.77]
 26+ 131 34 (26.0%)
Marital status* 0.51 1.00
 Single 430 104 (24.2%) 0.85 [0.52,1.38]
 Married 122 26 (21.3%)
Nationality** 0.84 1.00
 Qatari 236 52 (22.0%) 1.18 [0.56,2.49]
 Other GCC 44 11 (25.0%) 1.04 [0.68,1.61]
 Other Arab 237 54 (22.8%) 0.62 [0.18,2.21]
 Non-Arab 20 3 (15.0%)
Highest level of education* 0.28 1.00
 Secondary 308 76 (24.7%) 0.81 [0.55,1.19]
 University+ 273 57 (20.9%)
Employment* 0.52 1.00
 Yes 139 34 (24.5%) 0.86 [0.55,1.35]
 No 426 93 (21.8%)
Municipality* 0.36 1.00
 Doha 277 70 (25.3%) 0.71 [0.44,1.14]
 Al-Rayan 160 31 (19.4%) 0.95 [0.57,1.58]
 Elsewhere 115 28 (24.3%)
Household income** 0.34 1.00
 1 88 18 (20.5%) 1.06 [0.56,2.01]
 2 163 35 (21.5%) 1.65 [0.85,3.22]
 3 104 31 (29.8%) 1.10 [0.59,2.05]
 4 182 40 (22.0%) 1.00

^Data are presented as n (row %),

^^Chi-square test,

^^^Crude logistic regression,

*1.0–5.3% missing,

**8.2% missing