Table 2 Primary logistic regression comparing sociodemographic outcomes between participants without children and participants with children on MMT
| aOR | 95% CI | P value | ||
|---|---|---|---|---|
| Lower bounds | Upper bounds | |||
| Sex (male) | 2.417 | 1.775 | 3.292 | < 0.0001 |
| Age (years) | 1.060 | 1.040 | 1.079 | < 0.0001 |
| Highest level of education | ||||
| Grade 8 and below | 1.865 | 1.209 | 2.877 | 0.005 |
| Grades 9–12 | 1.171 | 0.837 | 1.638 | 0.358 |
| College/university, trade school, or masters/PhD | 0.878 | 0.618 | 1.246 | 0.465 |
| Employment status | 0.817 | 0.597 | 1.118 | 0.207 |
| Marital status | ||||
| Married/common law/living with partner | 1.766 | 1.288 | 2.422 | < 0.0001 |
| Source of first opioid exposure | ||||
| Physician prescribed | 1.517 | 1.129 | 2.038 | 0.006 |
| Smoking status | ||||
| Current smoker | 0.962 | 0.637 | 1.452 | 0.853 |
| Self-reported substance use in the past 30 days | ||||
| Alcohol | 0.935 | 0.695 | 1.259 | 0.658 |
| Benzodiazepine | 0.771 | 0.470 | 1.263 | 0.301 |
| Heroin | 0.935 | 0.695 | 1.527 | 0.789 |
| Cocaine | 0.858 | 0.574 | 1.281 | 0.453 |
| Amphetamine | 0.935 | 0.458 | 1.910 | 0.854 |
| Crack cocaine | 1.370 | 0.791 | 2.373 | 0.262 |
| Cannabis | 0.872 | 0.650 | 1.170 | 0.361 |
| Illicit methadone | 3.662 | 0.753 | 17.819 | 0.108 |
| Other drug* | 0.982 | 0.733 | 1.315 | 0.902 |
| Methadone dose (mg/day) | 1.000 | 0.999 | 1.003 | 0.941 |
| Length of current treatment (months) | 1.000 | 0.997 | 1.004 | 0.999 |
| Age of first opioid use | 1.020 | 0.999 | 1.043 | 0.068 |
|
Illicit opioid use by urine screen At least 1 positive urine screen during 3-month study period | 1.111 | 0.814 | 1.514 | 0.508 |