Table 2 Characteristics of older participants stratified by engaging in nonmedical prescription opioid use over the study period, 2013–2015 (n = 757)
Characteristica | Total (%) (n = 757) | Nonmedical Prescription Opioid Use | p - value | |
|---|---|---|---|---|
Yes (%) (n = 262) | No (%) (n = 495) | |||
Age (M [IQR]) | 48 (40–55) | 47 (38–53) | 49 (41–56) | < 0.001 |
Any cocaine useb, c | 205 (27.1) | 98 (37.4) | 107 (21.6) | < 0.001 |
Any crack cocaine useb, c | 332 (43.9) | 135 (51.5) | 197 (39.8) | 0.002 |
Any crystal meth useb, c | 223 (29.5) | 124 (47.3) | 99 (20.0) | < 0.001 |
Any heroin useb, c | 362 (47.8) | 200 (76.3) | 162 (32.7) | < 0.001 |
Any non-fatal overdoseb, c | 60 (7.9) | 43 (16.4) | 17 (3.4) | < 0.001 |
Binge drug useb, c | 235 (31.0) | 118 (45.0) | 117 (23.6) | < 0.001 |
Caucasian ancestry | 452 (59.7) | 164 (62.6) | 288 (58.2) | 0.239 |
Difficulty accessing servicesb, d | 149 (19.7) | 78 (29.8) | 71 (14.3) | < 0.001 |
Drug dealingb | 171 (22.6) | 95 (36.3) | 76 (15.4) | < 0.001 |
Female | 257 (33.9) | 92 (35.1) | 165 (33.3) | 0.622 |
Homelessb | 149 (19.7) | 76 (29.0) | 73 (14.7) | < 0.001 |
Incarcerationb | 51 (6.7) | 28 (10.7) | 23 (4.6) | 0.002 |
Regular employmentb | 202 (26.7) | 59 (22.5) | 143 (28.9) | 0.059 |
Sex workb | 72 (9.5) | 36 (13.7) | 36 (7.3) | 0.004 |