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Table 4 Binary logistic regression analysis for distinguishing the sample groups

From: Evaluation of functional status among patients undergoing maintenance treatments for opioid use disorders

Variables

Odd ratio

95% CI

p value

Lower

Upper

Understanding and communication domain (UAC)

0.990

0.974

1.007

0.242

Getting around domain (GAR)

0.999

0.982

1.017

0.935

Self-care domain (SCA)

1.009

0.990

1.030

0.353

Getting along with people domain (GAP)

1.006

0.993

1.019

0.369

Life activities domain (LA)

1.010

0.996

1.024

0.159

Participation in society domain (PAR)

0.987

0.975

0.999

0.034

Sexual dysfunction

1.915

1.247

2.940

0.003

Age

0.984

0.959

1.009

0.209

I.v. opioid

1.126

0.542

2.339

0.750

HBV

1.316

0.704

2.462

0.390

HCV

2.056

1.268

3.332

0.003

VIH

3.359

1.405

8.033

0.006

Previous maintenance program

0.366

0.237

0.565

< 0.001

Daily opioid dosage

0.438

0.220

0.872

0.019

Heroin + Cocaine use every day

6.670

0.742

59.958

0.090

Alcohol use every day

1.682

1.004

2.819

0.048

Benzodiazepines use every day

1.298

0.743

2.265

0.359

Constant

0.034

  

0.019

  1. Variables introduced in the model: UAC domain, GAR domain, SCA domain, GAP domain, LAC domain, PSO domain, sexual dysfunction, age, i.v. opioid, HBV, HCV, VIH, previous maintenance program, daily opioid dosage, heroin + cocaine use everyday, alcohol use everyday and benzodiazepines use everyday
  2. i.v. = intravenous administration of opioid; CI = confidence interval