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. Author manuscript; available in PMC: 2020 Mar 3.
Published in final edited form as: J Subst Abuse Treat. 2018 Jun 5;92:40–45. doi: 10.1016/j.jsat.2018.06.002

Table 3.

Logistic regression results to predict metabolic conditions and mental health diagnoses by age and time in Methadone Maintenance Treatment (MMT).

Independent variables Metabolic condition Mental health diagnosis
Odds ratio 95% CI Odds ratio 95% CI
Main predictors (continuous)
 Age 1.032*** 1.017, 1.047 0.992 0.978, 1.005
 Time in MMT 1.268*** 1.116, 1.442 0.970 0.861, 1.093
 Interaction term 0.996*** 0.993, 0.998 1.000 0.998, 1.002
Covariates (dichotomous)
 Female 0.710* 0.534, 0.944 2.061*** 1.574, 2.698
 Black 1.888* 1.015, 3.514 0.778 0.399, 1.515
 Hispanic 1.058 0.680, 1.648 0.949 0.618, 1.458
 Not housed 0.576 0.321, 1.035 1.410 0.817, 2.434
 Graduated HS 0.864 0.647, 1.153 0.984 0.746, 1.296
 Employed 0.760 0.555, 1.041 0.861 0.654, 1.133
 Married 1.167 0.823, 1.655 0.821 0.592, 1.137
 Psychosocial problems 0.844 0.582, 1.226 2.612*** 1.887, 3.614
 Smoke tobacco 1.147 0.810, 1.624 1.440* 1.066, 1.946
 Chronic respiratory condition 2.081*** 1.454, 2.978 0.991 0.667, 1.473
 Hepatitis C 1.062 0.790, 1.427 1.859*** 1.380, 2.505
 Co-occurring mental health diagnosis 2.138*** 1.512, 3.021 N/A -
 Metabolic Condition N/A - 2.107*** 1.492, 2.976
*

p < 0.05.

**

p < 0.01.

***

p < 0.001.