Table 3.

Logistic Regression Analysis of Characteristics Associated with Past Year Non-Medical Prescription Opioid Use, Stratified by Gender

	Men n = 26,746		Women n = 28,533
Characteristic	AOR	95% CL	AOR	95% CL
Age Group
18–25	2.20	1.75–2.76	2.32	1.78–3.02
26–34	1.62	1.20–2.19	1.60	1.13–2.28
35+	Ref	Ref	Ref	Ref
Employment
Employed	1.35	1.04–1.75	1.31	1.03–1.67
Unemployed	1.22	0.69–2.15	0.91	0.50–1.65
Not in Labor Forcea	Ref	Ref	Ref	Ref
Education a
High School Grad	0.75	0.54–1.03	0.83	0.57–1.21
College	0.68	0.48–0.97	0.70	0.48–1.03
< High School	Ref	Ref	Ref	Ref
Serious Psychological Distress
Yes	1.26	0.85–1.85	1.65	1.24–2.18
No	Ref	Ref	Ref	Ref
Past Year
Cigarette Use	1.24	0.95–1.60	1.29	1.03–1.61
Alcohol Use	1.70	1.22–2.36	1.86	1.26–2.75
Cocaine Use*	2.20	1.58–3.06	1.63	0.89–2.99
Marijuana Use	2.43	1.90–3.10	2.87	2.14–3.73
Heroin Use*	8.87	3.05–25.74	0.62	0.17–2.25
Hallucinogen Use*	2.09	1.55–2.82	0.97	0.59–1.60
Non-Medical Stimulant Use	2.12	1.30–3.44	3.93	2.51–6.17
Non-Medical Tranquilizer or Sedative Use	16.38	10.30–26.05	16.49	11.09–24.52
Illicit Drug or Alcohol Abuse or Dependence	1.71	1.26–2.32	1.35	0.89–2.04

^a12–17 year olds were not asked these questions.

Note: Non-significance is indicated if the confidence limit covers 1. AOR = Adjusted Odds Ratio. 95% CL = 95% Confidence Limits around the adjusted odds ratios.

^*Interactions tested in the overall parsimonious model were found to be statistically different (p<.05) by gender.