Skip to main content

Table 3 Logistic regression model

From: Application of data mining techniques and logistic regression to model drug use transition to injection: a case study in drug use treatment centers in Kermanshah Province, Iran

Variables

Odds ratio (OR)

95% confidence interval for OR

Wald

P-value

Occupational status

 Unemployed

 Self-employed

0.548

0.134

2.232

0.705

0.401

 Employed

0.303

0.075

1.218

2.831

0.092

Housewife

0.090

0.017

0.477

8.006

0.005

Education

 Illiterate

 Elementary

0.202

0.044

0.926

4.239

0.040

 Leadership

0.438

0.183

1.050

3.421

0.064

 High School

0.919

0.459

1.838

0.057

0.811

 College education

0.905

0.467

1.754

0.087

0.767

The first used drug

 Opioids

 Others

0.417

0.275

0.633

16.909

< 0.001

Number of years of drug use

1.047

1.021

1.075

12.390

< 0.001

Motivation for starting the drug use

 Pleasure

 Drug use of friends

0.592

0.271

1.293

1.729

.0.188

 Curiosity

1.592

0.725

3.498

1.341

0.247

 Use as a pain reliever

2.207

0.929

5.244

3.215

0.073

 Emotional distress and mental

0.000

0.00

 

0.000

0.996

 Others

0.760

0.287

2.014

0.304

0.581

 Unemployment

0.492

0.167

1.454

1.647

0.199

Family history of drug use

 yes

1. 403

0.938

2.099

2.712

0.100

History of taking hashish

 yes

0.446

0.299

0.665

15.694

<  0.001

History of taking heroin

 yes

0.107

0.070

0.164

106.375

<  0.001

History of taking cocaine

 yes

0.165

0.101

0.270

51.905

<  0.001

History of taking hallucinogens

 yes

0.059

0.024

0.146

37.579

<  0.001

History of taking crystal

 yes

0.674

0.451

1.008

3.684

0.055

History of taking methadone

 yes

0.487

0.252

0.941

4.591

0.032

History of suicide

 yes

0.353

0.220

0.566

18.650

<  0.001

History of prison

 yes

0.594

0.394

0.897

6.143

0.013

Number of referrals to drug treatment centers

 1

 2

0.291

0.101

0.835

5.271

0.022

0.032

0.001

 3

0.556

0.326

0.950

4.608

 

 4

0.381

0.217

0.670

11.235

 

  > 5

0.604

0.384

0.949

4.780

0.029