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Table 3 Bivariate and multivariate GEE analyses of factors associated with engaging in nonmedical prescription opioid use among younger participants (n = 405)

From: An age-based analysis of nonmedical prescription opioid use among people who use illegal drugs in Vancouver, Canada

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

–

 
  1. a. Comparison is yes vs. no unless otherwise specified
  2. b. Refers to behaviours, activities, and experiences in the last six months
  3. c. Includes injection and non-injection use
  4. d. Includes health and social services