| Literature DB >> 27006672 |
Ramin Mehrdad1, Benafsheh Zarbafi2, Gholamreza Pouryaghoub1, Maryam Saraeei1.
Abstract
BACKGROUND: Addiction to narcotics can cause serious problems and monetary losses. Therapeutic success can be predicted through identifying lapse risk factors.Entities:
Keywords: Lapse; Methadone Maintenance Therapy; Predictors; work
Year: 2015 PMID: 27006672 PMCID: PMC4801497
Source DB: PubMed Journal: Iran J Psychiatry ISSN: 1735-4587
Frequency of the Variables that may lead to Lapse on practitioner
|
|
| |||
|---|---|---|---|---|
|
|
| |||
| Drug testing at workplace | % | N | % | N |
| Drug abuse by coworkers | 39.6 | 103 | 60.4 | 157 |
| Shift work | 13 | 34 | 87 | 226 |
| Working with Job stress | 49.6 | 128 | 50.4 | 132 |
| Speaking with employer about work problem | 42 | 84 | 58 | 116 |
| Work alone | 30.5 | 79 | 69.5 | 180 |
| Employer fired the worker( if found out about the addiction of the worker) | 56.4 | 110 | 43.6 | 85 |
| Have a work problem | 31.3 | 79 | 68.9 | 175 |
| Work ambiguity | 32.3 | 83 | 67.7 | 174 |
| Availability of substance in workplace | 35 | 73 | 65 | 179 |
| Working far from family | 20.3 | 53 | 79.7 | 207 |
Demographic Information of the Participant who under treatment of methadone maintenance therapy
|
|
|
| |
|---|---|---|---|
| Marriage Status | |||
| Single | 91 | 25.9 | |
| Married | 260 | 74.1 | |
| Education | |||
| Primary school | 151 | 43.0 | |
| Secondary school | 155 | 44.2 | |
| Diploma & more | 45 | 12.8 | |
| Type of drug abuse | |||
| Opium | 173 | 62.9 | |
| Heroin and combination | 53 | 19.3 | |
| Amphetamine | 49 | 17.8 | |
| Employment status | |||
| Employed | 260 | 74.1 | |
| Unemployed | 91 | 25.9 | |
| Type of job | |||
| Driving | 42 | 14.6 | |
| Physical works | 122 | 42.7 | |
| Sedentary works | 122 | 42.7 |
Linear Regression Analyses Model for Variables that effect Lapse in the First Month of the Treatment
|
|
|
| |
|---|---|---|---|
| Opium abuse | .269 | .814 | .407 |
| Have sexual dysfunction/don’t have | .628 | .564 | .761 |
| Necessity of preventive program at workplace | .482 | .623 | 1.549 |
| Employment status/unemployed | .353 | .641 | 1.814 |
| Being away from family | .049 | .836 | 5.187 |
| Have sleep problems/don’t have | .039 | .536 | .330 |
| Knowledge about addiction | .905 | .729 | .916 |
| age | .961 | .027 | .999 |
R² = 0.24