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. 2014 Mar;75(2):259–268. doi: 10.15288/jsad.2014.75.259

Table 1.

Bivariate associations of demographics, alcohol use, and prescription drug use with sexual risk behaviors among patients who were sexually active in the past yeara

Inconsist. condom use
Full sample, past-year sex (n = 2,127) Always (n = 827) None/inconsist. (n = 1,298) Multiple partners
Substance use before sex
Variable 1 partner (n = 1,001) >1 partner (n = 1,126) No (n = 1,072) Yes (n = 1,053)
Female 1,291 (60.7%) 439 (53.1%)*** 850 (65.5%) 645 (64.4%)** 646 (57.4%) 688 (64.2%)** 601 (57.1%)
Age 18.34 (1.58) 18.07 (1.68)*** 18.51 (1.49) 18.32 (1.63) 18.36 (1.53) 18.02 (1.71)*** 18.67 (1.36)
European American 1,468 (69.0%) 620 (75.0%)*** 846 (65.2%) 685 (68.4%) 783 (69.5%) 673 (62.8%)*** 793 (75.3%)
Stimulant PDM 268 (12.6%) 68 (8.2%)*** 199 (15.3%) 83 (8.3%)*** 185 (16.4%) 44 (4.1%)*** 223 (21.2%)
Sedative PDM 174 (8.2%) 32 (3.9%)*** 142 (10.9%) 31 (3.1%)*** 143 (12.7%) 28 (2.6%)*** 146 (13.9%)
Opioid PDM 232 (10.9%) 51 (6.2%)*** 181(13.9%) 63 (6.3%)*** 169 (15.0%) 51 (4.8%)*** 181 (17.2%)
No PDM 1,705 (80.2%) 717 (86.7%)*** 987 (76.0%) 873 (87.2%)*** 832 (73.9%) 971 (90.6%)*** 733 (69.6%)
One class 251 (11.8%) 81 (9.8%) 169 (13.0%) 94 (9.4%) 157 (13.9%) 82 (7.6%) 168 (16.0%)
Two classes 90 (4.2%) 17 (2.1%) 73 (5.6%) 19 (1.9%) 71 (6.3%) 16 (1.5%) 74 (7.0%)
Three classes 81 (3.8%) 12 (1.4%) 69 (5.3%) 15 (1.5%) 66 (5.9%) 3 (0.3%) 78 (7.4%)
AUDIT-C score 3.03 (2.93) 2.58 (2.75)*** 3.32 (3.01) 2.19 (2.54)*** 3.79 (3.06) 1.40 (1.99)*** 4.70 (2.80)
Cannabis use 1,129 (53.1%) 376 (45.5%)*** 752 (57.9%) 402 (40.2%)*** 727 (64.6%) 330 (30.8%)*** 798 (75.8%)

Notes: Data are n (%) or M (SD). Inconsist. = inconsistent; PDM = prescription drug misuse; AUDIT-C = Alcohol Use Disorders Identification Test–Consumption.

a

Reference groups for gender = male, for race = African American/other, for PDM and cannabis variables = no PDM or cannabis use.

**

p < .01;

***

p < .001.