Table 2. Multivariable logistic regression model assessing odds of perception of high overdose risk (n=172).
Covariates | aOR* | (95% CI) | P-Value |
---|---|---|---|
Age | 0.96 | (0.93-1.00) | 0.026 |
Gender | |||
Male | Reference | ||
Female | 0.94 | (0.44-2.03) | 0.880 |
Overdosed in last 5 years | 2.90 | (1.29-6.52) | 0.010 |
Ever Witnessed an Overdose | 0.59 | (0.19-1.90) | 0.380 |
Days of Heroin Use per Month | 1.10 | (1.03-1.16) | 0.002 |
Days of Opioid Analgesic Use per Month | 1.03 | (0.99-1.07) | 0.132 |
Days of Concurrent Use of Opioids and Benzodiazepines per Month | 1.04 | (0.99-1.09) | 0.129 |
Days of Concurrent Use of Opioids and Alcohol per Month | 1.05 | (1.01-1.09) | 0.011 |
Days of Concurrent Use of Opioids and Cocaine per Month | 1.01 | (0.98-1.05) | 0.501 |
Injection Days per Month | 0.91 | (0.86-0.97) | 0.004 |
HIV Status | |||
Negative | Reference | ||
Positive | 1.11 | (0.36-3.38) | 0.855 |
HCV Status | |||
Negative | Reference | ||
Positive | 2.38 | (1.04-5.44) | 0.040 |
Received Naloxone in Last 5 Years | 0.69 | (0.21-2.25) | 0.540 |
Adjusted odds ratio