Table 3:
Multivariable logistic regression models predicting recent gabapentin misuse (N=324)
| p | aOR | 95% CI | |
|---|---|---|---|
| Demographics and background | |||
| Female | .140 | .645 | .360, 1.155 |
| Age | .442 | .987 | .956, 1.019 |
| Non-white race/ethnicity | .994 | .996 | .341, 2.909 |
| SSP utilizer | .334 | 1.347 | .736, 2.468 |
| County (ref = Owsley) | |||
| Clark County | .208 | .503 | .173, 1.465 |
| Knox County | .844 | 1.106 | .404, 3.029 |
| Substance Usea | |||
| Alcohol | .416 | 1.302 | .690, 2.459 |
| Marijuana | .858 | 1.058 | .569, 1.966 |
| Cocaine | .094 | 2.253 | .870, 5.831 |
| Crack cocaine | .150 | .434 | .139, 1.354 |
| Heroin | .838 | 1.088 | .483, 2.451 |
| Ecstasy | .328 | .392 | .060, 2.560 |
| Methamphetamine | .158 | 1.881 | .782, 4.525 |
| Benzodiazepines | .754 | 1.120 | .553, 2.268 |
| Rx stimulants | .389 | 1.962 | .423, 9.102 |
| Rx opioids | .000 | 3.584 | 1.769, 7.260 |
| Buprenorphine | .038 | 1.880 | 1.034, 3.418 |
| Fentanyl | .080 | 2.431 | .900, 6.567 |
| Drug injection frequencyb | .747 | 1.000 | .998, 1.003 |
| Health Problems | |||
| Severe mental distressa | .846 | 1.081 | .493, 2.368 |
| Severe substance use disordera | .022 | 2.185 | 1.120, 4.263 |
| Ever overdosed | .164 | .633 | .333, 1.205 |
| A lot of physical pain or discomforta | .016 | 2.148 | 1.154, 3.997 |
| Healthcare Service Utilization | |||
| Ever substance use treatment | .748 | 1.121 | .560, 2.245 |
| Unsuccessful treatment attempta | .871 | 1.068 | .483, 2.361 |
| Have a regular physician or clinic | .079 | .553 | .286, 1.071 |
| Received care from a doctor (past year) | .600 | .833 | .422, 1.647 |
| Currently prescribed buprenorphine | .428 | 1.439 | .585, 3.539 |
| Currently prescribed pain medication(s) | .876 | .923 | .338, 2.521 |