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Table 2 Primary logistic regression comparing sociodemographic outcomes between participants without children and participants with children on MMT

From: Sociodemographic characteristics of patients with children in a methadone maintenance program: a cross-sectional study

  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
  1. aOR adjusted odds ratio, CI confidence intervals, parental status having one or more children, reference group is being a parent, substance use is not an indication of substance use disorder
  2. *Other drugs used by participants include ketamine, Percocet, diluadid, oxycontin, fentanyl, oxycodeine, hydromorphone, morphine, acetaminophen, crystal meth, gabapentin, MDMA, OxyNeo, Ritalin, poppy seed opium, hashish, illicit Suboxone, and codeine