Skip to main content
. 2018 Nov 27;13:41. doi: 10.1186/s13011-018-0180-3

Table 3.

Bivariate and multivariate GEE analyses of factors associated with engaging in nonmedical prescription opioid use among younger participants (n = 405)

Characteristica Unadjusted Adjusted
Odds Ratio
(95% CI)
p - value Odds Ratio
(95% CI)
p - value
Age (per year younger) 1.18 (1.12–1.25) < 0.001 1.12 (1.05–1.19) < 0.001
Any cocaine useb, c 1.68 (1.18–2.39) 0.004 1.31 (0.88–1.95) 0.181
Any crack useb, c 2.16 (1.53–3.05) < 0.001 1.56 (1.06–2.30) 0.023
Any crystal meth useb, c 2.06 (1.42–2.98) < 0.001
Any heroin useb, c 4.82 (3.34–6.96) < 0.001 3.12 (2.08–4.68) < 0.001
Any non-fatal overdoseb, c 2.24 (1.61–3.12) < 0.001 1.43 (0.97–2.10) 0.070
Binge drug useb, c 2.36 (1.76–3.15) < 0.001 1.41 (1.00–1.97) 0.049
Caucasian ancestry 1.24 (0.85–1.80) 0.269
Difficulty accessing servicesb, d 1.70 (1.27–2.27) < 0.001 1.47 (1.04–2.09) 0.030
Drug dealingb 2.76 (2.03–3.75) < 0.001 2.22 (1.58–3.13) < 0.001
Female 0.91 (0.61–1.36) 0.662
Homelessb 1.59 (1.16–2.17) 0.004
Incarcerationb 1.32 (0.88–1.99) 0.177
Regular employmentb 1.23 (0.92–1.64) 0.168
Sex workb 2.11 (1.35–3.29) < 0.001

a. Comparison is yes vs. no unless otherwise specified

b. Refers to behaviours, activities, and experiences in the last six months

c. Includes injection and non-injection use

d. Includes health and social services