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

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

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
*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

ISSN: 1477-7517