Table 2.
Logistic regression analyses predicting increased disruption to harm reduction services during COVID-19 (N = 133).
| Predictors | Naloxone |
Sterile syringes |
Recovery support |
|||
|---|---|---|---|---|---|---|
| AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | |
| Racial/ethnic status | 9.89 | 1.95–49.95⁎⁎ | 7.87 | 1.87-33.02⁎⁎ | 1.32 | 0.49-3.54 |
| Past 30-day opioid use | 1.04 | 0.99–1.08 | 1.00 | 0.95–1.03 | 1.01 | 0.98–1.03 |
| Count of opioid problems | 1.14 | 0.90–1.43 | 1.16 | 0.95–1.42 | 1.10 | 0.98–1.23 |
| College attainment | 0.47 | 0.08–2.62 | 2.43 | 0.60–9.72 | 0.81 | 0.33–1.97 |
| Biological sex | 0.93 | 0.20–4.23 | 1.32 | 0.30–5.65 | 0.60 | 0.26–1.38 |
| Age | 0.99 | 0.90–1.08 | 0.95 | 0.86–1.03 | 0.98 | 0.93–1.02 |
Note. AOR = adjusted odds ratios; 95% CI = 95% confidence intervals.
⁎⁎
p < .01.