Literature DB >> 24971281

Health-Related Quality of Life of Young Addict Women in Mashhad, IR Iran.

Mohammad Khajedaluee1, Reza Assadi1, Maliheh Dadgar Moghadam1.   

Abstract

BACKGROUND: Quality of life (QoL) stands for to the general well-being of the populations in the societies. Quality of life should not be confused with the concept of standard of living, which is based primarily on income. Instead, standard indicators of the QOL include not only wealth and employment, but also built environment, physical and mental health, education, recreation and leisure time and social belonging.
OBJECTIVES: This study attempted to evaluate the QoL of the young addicted women compared to non-addict controls.
MATERIALS AND METHODS: This case-control study was conducted on young addict women aged between 16-25 years old using with BREF-WHOQOL questionnaire. The subgroups included vulnerable addicts, non-vulnerable addicts and healthy controls.
RESULTS: The findings of the current study demonstrated that drug abuse led to reduce health-related QoL in all aspects of health compared with control group.
CONCLUSIONS: Health-related QoL was lower in all aspects of health compared with control group.

Entities:  

Keywords:  Quality of Life; Substance-Related disorders; Vulnerability; Young adult

Year:  2013        PMID: 24971281      PMCID: PMC4070145          DOI: 10.5812/ijhrba.10296

Source DB:  PubMed          Journal:  Int J High Risk Behav Addict        ISSN: 2251-8711


1. Background

In some societies, including our country, addiction is thought to be a masculine phenomenon. Nevertheless, according to the research results, women comprise approximately 10% of addicts in the country. Based on statistics, 50% female prisoners are in prisons in relation to drug abuse (1). Although there is a significant gender difference in drug and alcohol abuse, but now a days alcohol and drug abuse is increasing in women. Compared to men, women are less likely to use illegal drugs, but when they start to being addicted, they tend to show addiction faster and would experience negative outcomes sooner than men (2). Compared to other women, addict women suffer more from serious illnesses and non-communicable diseases, such as hepatitis and AIDS. Negative attitudes about addict women are a major obstacle in the course of treatment. However, women are less likely to receive support from families and friends to quit addiction. Treatment programs often lead to unexpected obstacles in women treatment procedure (3). Drug abuse has a negative impact on the physical, psychological, social, economic and familial aspects of life. Results of research conducted by Karow to evaluate the role of the social and clinical variables in QoL of addicts, showed that personality disorders, interpersonal conflicts within a family and with spouse, and the need for physical and mental disorders treatment was significantly associated with lower QoL (4). In a study conducted by Tracy and colleagues that have been performed with WHOQOLBREF questionnaire, findings revealed that the QoL of the addicts is less than normal subjects in various domains. The history of injuries/traumas significantly predicted the level of QoL in mental and physical domains (5). The term Quality of life (QoL) is used to describe the general well-being of the populations. This term is used in vast domains of international development, health and politics. Quality of life should not be confused with the concept of standard of living, which is based primarily on income. Instead, standard indicators of the QOL include not only wealth and employment, but also built environment, physical and mental health, education, recreation and leisure time, and social belonging (6).

2. Objectives

The current study attempted to evaluate the QOL of young addict women and comparing it with the non-addict peers, based on aforementioned tool.

3. Materials and Methods

This case-control study conducted on young addict aged 16 to 25 in 2011-2012, Mashhad, Iran. The study groups including vulnerable addicts (those who were jailed to any reason), non-vulnerable addicts (without history of being in prison) and healthy women (those attended regional health centers for reasons other than addiction and had no history of addiction and jail). Sample size is calculated based on the mean difference between two groups (based on previous data studies) and (α = 0.05, β = 0.2) which is equivalent to 80 person in each group. Sampling method was randomized stratified in two age subgroups of 16-20 and 21-25 (to ensure including subjects below 20 years old) and in this age subgroups considered in all three groups of the study. All of the subjects signed an informed consent form for the participation in the study. All the information concerning their demographic, familial background, smoking, alcohol and pattern of smoking, and alcohol consumption habits were collected.

3.1. Inclusion and Exclusion Criteria

Vulnerable addict group included addicted women aged between 16 to 25 years in prison. No vulnerable addict group included addicted women aged between 16 to 25 years without history of being in prison. Control group included women aged between 16 to 25 years without a history of addiction and being in prison. In this study the QoL of the individuals was evaluated by WHOQOL-BREF questionnaire. This questionnaire assesses the health related QoL in four domains: •Physical Health Domain •Psychological Domain •Social relationship Domain •Environmental Domain This questionnaire contains 26 questions, the first two questions assess the QoL and health statuses in general, respectively, and the rest of questions ask about QoL particularly in the four mentioned domains. This tool is very popular and accepted worldwide. It has been translated to Persian and adjusted for this language in several studies, Yousefi et al. (7) and Nejat et al. (8). Data collection was conducted by trained inquirers participated in a training session to obtain the desired skill and be calibrated in their practice.

3. 2. Statistical Analysis

After filling the questionnaires for all subjects, the obtained data was coded based on the answer key and for further statistical analysis all information entered to SPSS software version 11.5. The demographic characteristics of the subjects were presented in descriptive statistics. ANOVA test was used for the analysis of the quantitative variables between groups, when the normal distribution was confirmed; otherwise the Kruskall-Wallis test was implemented. In all of the statistical work the significant level was considered less than 0.05.

4. Results

The demographic findings of these subjects are presented in Table 1. The evaluation of this data demonstrated that there is significant difference between groups in case of literacy level, occupation, personal and family income, place of living, smoking and alcohol consumption.
Table 1.

Demographic Information of the Subjects

Vulnerable Addict, N = 80Addict, N = 80Control, N = 76P Valu
Age 21.1 (3.33)[a]21.21 (2.39)20.90 (2.72)0.75
Literacy 0.001
Illiterate13 (16.25)3 (3.75)0
Primary School26 (32.5)18 (22.5)0
High School30 (37.5)19 (23.75)12 (15.8)
High School Diploma9 (11.25)36 (45)30 (39.5)
Associate Degree2 (2.5)4 (5)11 (14.5)
Bachelor0023 (30.3)
Occupation 0.001
Housewife33 (41.25)31 (38.75)13 (17.1)
Unemployed24 (30)20 (25)10 (13.2)
Employed23 (28.75)29 (36.25)53 (69.7)
Personal Income[b]209.11 (163.73)67.69 (82.85)147.04 (189.90)
Family Income340.15 (214.03)616.66 (177.76)668.37 (457.19)
Place of Living 0.001
Inside the City65 (81.3)55 (68.8)71 (93.4)
City Suburb3 (3.8)20 (25)0
County11 (13.8)4 (5)1 (1.3)
Village1 (1.3)1 (1.3)4 (5.3)
Religion 0.16
Shia77 (96.3)76 (95.3)76 (100)
Sonni3 (3.8)4 (5)0
Marital Status 0.001
Single19 (23.8)38 (47.5)75 (98.68)
Married28 (35)31 (38.8)0
Divorced31 (38.8)9 (11.3)1 (1.31)
Widow2 (2.5)2 (2.5)0
Smoking 61 (76.3)68 (86.1)1 (1.3) 0.001
Alcohol 34 (42.5)13 (16.9)0 0.001

aBased on type of variable, mean and standard deviation or frequency

bIncome presented based on Tomans (Iran)

aBased on type of variable, mean and standard deviation or frequency bIncome presented based on Tomans (Iran) Physical health, mental health, interpersonal communication and environmental safety scores of the studied groups are shown in Diagram 1, 2, 3 and 4, given that the percent of physical health, mental health, interpersonal communication and environmental safety scores were higher in the controls comparing with the other two groups. The mentioned variables in two addict groups were not significantly different. ANOVA test showed a significant difference between three groups in case of physical health, mental health, interpersonal communication and environmental safety scores (P < 0.001).
Diagram 1.

Percent of Physical Health Score

Diagram 2.

Percent of Mental Health Score

Diagram 3.

Percent of Social Communication Score Safety

Diagram 4.

Percent of Environment Health Score

The mean score of total QoL is presented in Diagram 5. The mean score of total QOL in vulnerable addict, addict and healthy subjects was (67.76 ± 15.60), (74.100 ± 11.21) and (95.05 ± 10.69) respectively. Hence the health status of the healthy group is significantly higher than both addict groups, and the addict group higher than the vulnerable ones (P < 0.001).
Diagram 5.

Mean of Total QOL Score in Three Groups

5. Discussion

In the present study the overall score of QoL in general and in four sub-domains was significantly higher in controls compared with addict groups. Further studies showed low quality of life in addict person (9, 10). In Samad Zadeh and colleagues study which was conducted to evaluate QoL of addict and healthy individuals in City of Tabriz, findings revealed that the addicts had an overall lower QoL compared with healthy individuals. They reported that healthy individuals had a better physical function, general health status, vitality, proper social function and mental health while less physical restriction, emotional conflict and physical pain were reported (11). In another study conducted by Hojati et al. with the objective of evaluating the QoL of those referred to drug abuse treatment. The findings showed that fifty three percent of the addicts had “to some extent” desirable QoL and just eight percent reported high QoL (12). Other studies have shown that drug abuse treatment has a positive impact on improving the quality of life for these individuals. In Lua et al. study, the findings demonstrated that treatment has led to an improvement in the QoL and dramatic changes were observed in QoL of the individuals after treatment (13). Vang and colleagues studied QoL of Heroin addicts who were under methadone maintenance therapy. Findings showed improvement of QoL in the course of treatment, and further therapy course was predicting for better QoL (14). This study showed significant differences in factors such as education, employment, household income, personal income and parental educational as a social determinant of health between two addicts and control groups. Addiction affects all aspects of health of women, increases risk of infectious, sexually transmitted and cardiovascular diseases, and induces mental disorders such as depression and anxiety. Deterioration of socioeconomic condition and social dysfunction deepen the mood disorders. These disorders lead to poverty, family breakdown and family rejection that particularly influence psychological and social communication statuses and subsequently QoL of the sufferer. The subjects of this study has been women aged between 16-25 years old, which is in active duration of life and the deterioration of QoL will affect their personal and social development as well as roles. All of the questionnaires in this study were filled anonymously and the subjects were ensured that their confidentiality will be protected and will not be disclosed in any circumstance. All subjects signed and informed consent form for participation in this study.
  6 in total

1.  A 12-month evaluation of health-related quality of life outcomes of methadone maintenance program in a rural Malaysian sample.

Authors:  Pei Lin Lua; Nor Samira Talib
Journal:  Subst Use Misuse       Date:  2012-05-01       Impact factor: 2.164

2.  Change in quality of life and its predictors in heroin users receiving methadone maintenance treatment in Taiwan: an 18-month follow-up study.

Authors:  Peng-Wei Wang; Hung-Chi Wu; Chia-Nan Yen; Yi-Chun Yeh; Kuan-Sheng Chung; Hsun-Cheng Chang; Cheng-Fang Yen
Journal:  Am J Drug Alcohol Abuse       Date:  2012-02-22       Impact factor: 3.829

3.  Differential substance abuse patterns distribute according to gender in heroin addicts.

Authors:  Icro Maremmani; Canoniero Stefania; Matteo Pacini; Angelo G I Maremmani; Marina Carlini; Francesca Golia; Joseph Deltito; Liliana Dell'Osso
Journal:  J Psychoactive Drugs       Date:  2010-03

4.  Prospective patterns and correlates of quality of life among women in substance abuse treatment.

Authors:  Elizabeth M Tracy; Alexandre B Laudet; Meeyoung O Min; Hyunsoo Kim; Suzanne Brown; Min Kyoung Jun; Lynn Singer
Journal:  Drug Alcohol Depend       Date:  2012-02-12       Impact factor: 4.492

5.  Psychometric properties of the WHOQOL-BREF in an Iranian adult sample.

Authors:  A R Yousefy; A R Usefy; Gh R Ghassemi; N Sarrafzadegan; S Mallik; A M Baghaei; K Rabiei
Journal:  Community Ment Health J       Date:  2010-01-09

6.  Association of personality disorders, family conflicts and treatment with quality of life in opiate addiction.

Authors:  A Karow; U Verthein; M Krausz; I Schafer
Journal:  Eur Addict Res       Date:  2008-01-07       Impact factor: 3.015

  6 in total
  7 in total

1.  The impact of living arrangements on quality of life among Korean elderly: findings from the Korean Longitudinal Study of Aging (2006-2012).

Authors:  Juyeong Kim; Young Choi; Sohee Park; Kyoung Hee Cho; Yeong Jun Ju; Eun-Cheol Park
Journal:  Qual Life Res       Date:  2016-11-05       Impact factor: 4.147

2.  Health-related quality of life and influencing factors in drug addicts based on the scale QLICD-DA: a cross-sectional study.

Authors:  Zilin Ma; Yuxi Liu; Chonghua Wan; Jianming Jiang; Xiaomei Li; Ying Zhang
Journal:  Health Qual Life Outcomes       Date:  2022-07-14       Impact factor: 3.077

3.  Effects of number and gender of offspring on quality of life among older adults: evidence from the Korean Longitudinal Study of Aging, 2006-2012.

Authors:  Jae-Hyun Kim; Sang Gyu Lee; Jaeyong Shin; Kyung-Hee Cho; Jae-Woo Choi; Eun-Cheol Park
Journal:  BMJ Open       Date:  2015-06-10       Impact factor: 2.692

4.  Effectiveness of mindfulness-based stress reduction intervention for health-related quality of life in drug-dependent males.

Authors:  Navid Reza Hosseinzadeh Asl; Fattaneh Hosseinalipour
Journal:  Iran Red Crescent Med J       Date:  2014-09-05       Impact factor: 0.611

5.  The Effect of Paternal Addiction on Adolescent Suicide Attempts: A Qualitative Study.

Authors:  Mohammad Rafi Bazrafshan; Farkhondeh Sharif; Zahra Molazem; Arash Mani
Journal:  Int J High Risk Behav Addict       Date:  2016-07-17

6.  Quality of life and its related factors in women with substance use disorders referring to substance abuse treatment centers.

Authors:  Majid Barati; Khadijeh Bandehelahi; Tahereh Nopasandasil; Hanieh Jormand; Amir Keshavarzi
Journal:  BMC Womens Health       Date:  2021-01-06       Impact factor: 2.809

7.  The Burden and Quality of life of Caregivers of Stroke Survivors with Cognitive Impairment in Selected Healthcare Facilities in Anambra State, Nigeria.

Authors:  Uchenna Prosper Okonkwo; Chukwuebuka Fortune Agbo; Sam Chidi Ibeneme; Emeka Sylvester Igwe; Christopher Olusegun Akosile; Ifeoma Uchenna Onwuakagba; Okoye Chiebuka Emmanuel; Stanley Monday Maduagwu; Elochukwu Fortune Ezenwankwo; Echezona Nelson Ekechukwu
Journal:  Gerontol Geriatr Med       Date:  2022-09-27
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.