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

Table 4.

Bivariate and multivariate GEE analyses of factors associated with engaging in nonmedical prescription opioid use among older participants (n = 757)

Characteristica Unadjusted Adjusted
Odds Ratio
(95% CI)
p - value Odds Ratio
(95% CI)
p - value
Age (per year younger) 1.03 (1.10–1.04) < 0.001 0.99 (0.97–1.00) 0.120
Any cocaine useb, c 1.53 (1.18–1.99) 0.001
Any crack useb, c 1.42 (1.12–1.81) 0.004
Any crystal meth useb, c 2.95 (2.25–3.88) < 0.001 1.97 (1.46–2.66) < 0.001
Any heroin useb, c 3.81 (2.90–4.99) < 0.001 2.79 (2.08–3.74) < 0.001
Any non-fatal overdoseb, c 3.09 (2.12–4.48) < 0.001 1.76 (1.20–2.60) 0.004
Binge drug useb, c 1.71 (1.37–2.14) < 0.001
Caucasian ancestry 1.20 (0.90–1.60) 0.225
Difficulty accessing servicesb, d 2.11 (1.65–2.69) < 0.001 1.74 (1.32–2.29) < 0.001
Drug dealingb 2.75 (2.10–3.58) < 0.001 1.87 (1.40–2.49) < 0.001
Female 0.97 (0.73–1.31) 0.864
Homelessb 2.05 (1.50–2.79) < 0.001
Incarcerationb 2.28 (1.47–3.54) < 0.001 1.55 (0.98–2.44) 0.061
Regular employmentb 0.78 (0.60–1.00) 0.055
Sex workb 2.05 (1.41–2.98) < 0.001 1.49 (1.00–2.22) 0.049

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