Table 3.
OR (95% CI) from multivariable logistic regression predicting wanting to stop or cut down opioid use.
| Variable | Odds Ratio (95% CI) | Overall p-value |
|---|---|---|
| PHQ-8 0–4 (reference) 5–9 10+ |
1.0 1.4 (0.9, 2.2) 1.98 (1.3, 3.1) |
0.009 |
| Sex Male (reference) Female |
1.01 (0.7, 1.4) | 0.93 |
| Age | 0.98 (0.97, 0.99) | 0.003 |
| BMI | 0.99 (0.98, 1.01 | 0.39 |
| Education 8th grade or less Some HS HS Grad or GED Some voc/trade Some college College grad Post 4-yr college (reference) |
0.55 (0.12, 2.6) 0.78 (0.38, 1.63) 0.65 (0.36, 1.2) 0.9 (0.43, 1.9) 0.64 (0.37, 1.09) 0.61 (0.33, 1.12) 1.0 |
0.61 |
| Mean days with pain in prior 6 months | 1.0 (0.995, 1.002) | 0.43 |
| Average pain intensity | 0.99 (0.92, 1.08) | 0.86 |
| Survey site KPNC GH (reference) |
1.6 (1.2, 2.1) 1.0 |
0.003 |
| Pain Impact score | 1.0 (0.96, 1.08) | 0.64 |
| Self-report Drug or Alcohol Problem No (reference) Yes |
1.0 0.96 (0.68, 1.37) |
0.83 |
| Charlson score | 0.99 (0.91, 1.1) | 0.79 |
| Opioid type Predominantly SA Predominantly LA (reference) |
1.14 (0.78, 1.7) 1.0 |
0.50 |
| Dose 120+ 50–< 120 20–< 50 < 20 (reference) |
1.35 (0.8, 2.27) 1.47 (0.92, 2.3) 1.34 (0.85, 2.1) 1.0 |
0.42 |