alexa Addiction Relapse and Its Predictors: A Prospective Study
ISSN: 2155-6105

Journal of Addiction Research & Therapy
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Research Article

Addiction Relapse and Its Predictors: A Prospective Study

Asghar Mohammadpoorasl1*, Ali Fakhari2, Hossein Akbari3, Fattaneh Karimi4, Mohammad Arshadi Bostanabad5, Fatemeh Rostami6 and Mohammad Hajizadeh7

1Asghar Mohammadpoorasl, PhD student of Epidemiology, National Public Health Management Center (NPMC), Tabriz University of Medical Sciences, Tabriz, Iran

2Student of Epidemiology, National Public Health Management Center (NPMC), Tabriz University of Medical Sciences, Tabriz, Iran

3Associate Professor of psychiatry, Clinical Psychiatry Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

4Student of Epidemiology, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

5Nusing School of Maragheh, Tabriz University of Medical Sciences, Tabriz, Iran

6Student of Nursing, Tabriz University of Medical Sciences, Tabriz, Iran

7Department of Epidemiology & Biostatistics, University of Western Ontario, Ontario, Canada

*Corresponding Author:
Asghar Mohammadpoorasl
, PhD, Student of Epidemiology
National Public Health Management Center (NPMC)
Tabriz University of Medical Sciences, Tabriz, Iran
E-mail: [email protected]

Received February 14, 2012; Accepted March 16, 2012; Published March 20, 2012

Citation: Mohammadpoorasl A, Fakhari A, Akbari H, Karimi F, Arshadi Bostanabad M, et al.(2012) Addiction Relapse and Its Predictors: A Prospective Study. J Addict Res Ther 3:122. doi:10.4172/2155-6105.1000122

Copyright: © 2012 Mohammadpoorasl A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Drug addiction has been recognized as a chronic, relapsing illness for several years. This study aims to estimate relapse rate and determine its predictors in Iran. In this prospective study, we studied 436 patients referring voluntarily to an addiction treatment center in Maragheh, Iran. We completed two questionnaires at the beginning of study and six months after cessation by conducting interviews with patients by trained interviewers. Logistic regression model was used in order to identify the predictors of relapse in our sample. After six months follow-up, we found that the relapse rate was 64.0% (CI 95%: 59.3-68.4). The results of logistic model indicate that smoking (OR=12.15), having a drug user in the family (OR=2.54), having lower hope to quit (OR=2.61), unemployment (OR=2.78) and stay connected with drug user friends after quitting (OR=46.7) were factors associated with relapse. This study similar to other studies showed a high relapse rate and determined some of its risk factors among addicts.

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