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Table 4 Bivariate and multivariate GEE analyses of factors associated with engaging in nonmedical prescription opioid use among older participants (n = 757)

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)

1.03 (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

  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