TABLE 2.

Summary of logistic regression analyses for sexual assault as a predictor of the medical and nonmedical use of four classes of prescription drugs

	Medical Prescription Use			Non-medical Prescription Use
	% (n)	OR	95% CI	%(n)	OR	95% CI
Anxiolytics
No Assault	1.4%(4)	–	–	1.0%(3)	–	–
Non-penetrating Assault	4.7%(8)	2.6	.7–9.3	0.6%(1)	0.2	.01–2.6
Penetrating Assault	6.3%(1)	2.5	0.2–25.5	6.3%(1)	2.0	.13–30.8
Stimulants
No Assault	2.4%(7)	–	–	1.0%(3)	–	–
Non-penetrating Assault	2.4%(4)	0.9	.3–3.4	1.2%(2)	.4	.1–4.1
Penetrating Assault	0	0	0	0	0	0
Opioid Analgesics
No Assault	35.2%(103)	–	–	9.8%(29)	–	–
Non-penetrating Assault	47.6%(81)	1.7**	1.1–2.5	18.7%(32)	1.8*	1.0–3.2
Penetrating Assault	56.3%(9)	2.3	0.8–6.5	43.8%(7)	5.4**	1.8–16.1
Sedatives
No Assault	7.7%(23)	–	–	1.7%(5)	–	–
Non-penetrating Assault	9.4%(16)	1.1	0.5–2.1	3.5%(6)	2.1	0.6–7.1
Penetrating Assault	18.8%(3)	2.7	0.5–9.0	12.5%(2)	5.7*	.9–37.6
Any Use
No Assault	38.6%(115)	–	–	11.1%(33)	–	–
Non-penetrating Assault	53.2%(91)	1.8**	1.2–2.7	20.5%(35)	2.1*	.9–2.8
Penetrating Assault	56.3%(9)	2.0	0.7–5.6	43.8%(7)	4.2**	1.4–13.0

^†Note: Contrast group for assault groups was the “no assault” group. Binge drinking and illicit drug use were entered into all equations as a control variable prior to the sexual assault variable.

^*p< .05,

^**p< .01,

^***p< .001.