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Bratu ML, Sandesc D, Anghel T, Tudor R, Shaaban L, Ali A, Toma AO, Bratosin F, Turcu I, Gantsa A, Fericean RM, Bondrescu M, Barata PI. Evaluating the Aspects of Quality of Life in Individuals with Substance Use Disorder: A Systematic Review Based on the WHOQOL Questionnaire. J Multidiscip Healthc 2023; 16:4265-4278. [PMID: 38164463 PMCID: PMC10758186 DOI: 10.2147/jmdh.s440764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/17/2023] [Indexed: 01/03/2024] Open
Abstract
Substance Use Disorder (SUD) has become a significant public health concern and it profoundly impacts an individual's quality of life (QOL). This systematic review aimed to assess the QOL among patients with SUD, and to understand the differential impact of SUD on physical, mental, social, and environmental QOL domains, considering a variety of substances and identifying key factors that influence these outcomes. A comprehensive search was conducted in PubMed, Web of Science, Cochrane, and Scopus in January 2023, covering literature published until December 2022. The QOL was assessed using the World Health Organization Quality of Life (WHOQOL) instrument and the brief version of the WHOQOL, identifying the same four domains of QOL (physical, mental, social, and environmental). A total of 19 studies were selected for inclusion in the systematic review, based on individuals' polysubstance use, and excluding those using only nicotine or alcohol. The analysis included 6079 patients, with only 40.3% women, and a mean age of 36.6 years. The substances most commonly involved in SUD were cocaine (47.1%), alcohol (46.3%), and amphetamine (43.6%), considering most individuals being polysubstance users. The highest variability in QOL scores was observed in the physical domain. Mental disorders were reported in 68.3% of the patients, while long-term use of drugs, criminal history, unemployment, and low levels of education were identified as significant predictors for lower QOL by some of the studies. Similarly, sleep problems and teeth decay were also identified as significant worsening factors for QOL. This systematic review highlights that the WHOQOL survey is widely accepted and applicable for individuals with SUD worldwide. The results suggest a substantial negative impact of SUD on the QOL of affected individuals. The findings underscore the need for comprehensive interventions to address the physical, psychological, social, and environmental dimensions of QOL among individuals with SUD.
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Affiliation(s)
- Melania Lavinia Bratu
- Center for Neuropsychology and Behavioral Medicine, Department of Psychology, Faculty of General Medicine, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
- Center for Cognitive Research in Neuropsychiatric Pathology, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Dorel Sandesc
- Department of Anesthesia and Intensive Care, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Teodora Anghel
- Center for Neuropsychology and Behavioral Medicine, Department of Psychology, Faculty of General Medicine, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Raluca Tudor
- Second Discipline of Neurology, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Luai Shaaban
- Faculty of General Medicine, Baskent University, Ankara, Turkey
| | - Ayesha Ali
- Bhaskar Medical College, Hyderabad, Telangana State, India
| | - Ana-Olivia Toma
- Discipline of Dermatology, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Felix Bratosin
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
- Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Izabela Turcu
- Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Andrei Gantsa
- Volgograd State Medical University, Volgograd, Russia
| | - Roxana Manuela Fericean
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
- Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Mariana Bondrescu
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
- Department of Psychiatry, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Paula Irina Barata
- Department of Physiology, Faculty of Medicine, “Vasile Goldis” Western University, Arad, Romania
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
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Armoon B, Fleury MJ, Bayat AH, Bayani A, Mohammadi R, Griffiths MD. Quality of life and its correlated factors among patients with substance use disorders: a systematic review and meta-analysis. Arch Public Health 2022; 80:179. [PMID: 35927697 PMCID: PMC9351239 DOI: 10.1186/s13690-022-00940-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 07/25/2022] [Indexed: 11/23/2022] Open
Abstract
Background Patients with substance use disorder (SUD) usually report lower quality of life (QoL) than other patients and as much as patients with other mental disorders. The present study investigated variables associated with QoL domains among patients with SUD. Methods Studies in English published before December 1st 2021, were searched for on PubMed, Scopus, Cochrane, and Web of Science to identify primary studies on factors associated with QoL domains among patients with SUD. After reviewing for study duplicates, the full-texts of selected papers were assessed for eligibility using PECO (Participants, Exposures, Comparison and Outcome) criteria: (a) participants: patients with SUD; (b) exposures: sociodemographic factors, clinical, and service use variables; (c) comparison: patient groups without SUD; and (d) outcomes: four domains of QoL (physical, mental, social, and environmental domains). Three researchers recorded the data independently using predefined Excel spreadsheets. The Newcastle–Ottawa Scale (NOS) was used for assessing risk of bias and rated each study in terms of exposure, outcome, and comparability. Pooled odds ratios (ORs) and β coefficient were utilized at a 95% confidence level, and because sampling methods differed between studies’ pooled estimates, a random effects model was utilized. Results After the assessment of over 10,230 papers, a total of 17 studies met the eligibility criteria. Five studies (1260 participants) found that patients with SUD who were older were less likely to have a good physical Qol (OR = 0.86, 95% CI = 0.78, 0.95). Two studies (1171 participants) indicated that patients with SUD who were homeless were less likely to have a good environmental Qol (β = -0.47, p = 0.003). However, a better mental QoL was observed in four studies (1126 participants) among those receiving support from their family or friends (social networks) (OR = 1.05, 95% CI = 1.04, 1.07). Two studies (588 participants) showed that those using cocaine were less likely to have a good mental QoL (OR = 0.83, 95% CI = 0.75, 0.93). Two studies (22,534 participants) showed that those using alcohol were less likely to have a good physical QoL (β = -2.21, p = 0.001). Two studies (956 participants) showed that those having severe substance use disorders were less likely to have a good mental (β = -5.44, p = 0.002) and environmental (β = -0.59, p = 0.006) QoL respectively. Four studies (3515 participants) showed that those having mental disorders were less likely to have a good physical QoL (β = -1.05, p = 0.001), and another three studies (1211 participants) that those having mental disorders were less likely to have a good mental QoL (β = -0.33, p = 0.001). Finally, two studies (609 and 682 participants) showed that individuals who experienced trauma symptoms or mental disorders were less likely to have good social and environmental QoL, respectively (OR = 0.78, 95% CI = 0.61, 1.00) and (OR = 0.92, 95% CI = 0.9, 0.94). Conclusions The findings suggest the need for mental health services to improve the QOL among patients with SUD but further study is needed. Cocaine may cause behavioral changes which can increase the possibility of reckless and suicidal behaviors. Therefore, identifying cocaine user access, adherence, and satisfaction with treatment is recommended as an important component of adaptive functioning. Interventions that help patients with SUD get support from people within their social networks who support their recovery are also essential to their QoL. Supplementary Information The online version contains supplementary material available at 10.1186/s13690-022-00940-0.
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Rhee TG, Peltier MR, Sofuoglu M, Rosenheck RA. Do Sex Differences Among Adults With Opioid Use Disorder Reflect Sex-specific Vulnerabilities? A Study of Behavioral Health Comorbidities, Pain, and Quality of Life. J Addict Med 2020; 14:502-509. [PMID: 32371659 PMCID: PMC8962823 DOI: 10.1097/adm.0000000000000662] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Studies suggest that men and women have different vulnerabilities to a number of substance use disorders (SUDs). We examined whether differences between women and men with opioid use disorder (OUD) are significantly different from those without OUD for selected sociodemographic and health outcomes. METHODS We used a cross-sectional survey design using data from 2012 to 2013 National Epidemiological Survey on Alcohol and Related Conditions Wave III, which surveyed nationally representative samples of non-institutionalized adults (n = 36,309 unweighted). Past-year OUD and other behavioral co-morbidities were defined using DSM-5 criteria. In bivariate analyses, we investigated sex differences in socio-demographic factors, behavioral co-morbidities, pain, and health-related quality of life (HRQOL) between women and men with past-year OUD, and then those without past-year OUD. We further used logistic regression analyses to evaluate interactions between effect of sex and past-year OUD status on behavioral co-morbidities, pain, and HRQOL. RESULTS When extrapolated, about 2.1 million US adults met diagnostic criteria for past-year OUD. Women with OUD had a higher likelihood of having several past-year psychiatric disorders, and a lower likelihood of having any past-year SUDs compared to male counterparts. However, similar relationships were observed among those without OUD and significant interaction effects were not found on behavioral co-morbidities, pain, and HRQOL, indicating that general sex differences are not specific to OUD. CONCLUSIONS Although sex differences are not specific to OUD, concurrent disorders are not uncommon among women, as well as men, with OUD. There is a need to treat concurrent behavioral health conditions from a multimorbidity perspective in the treatment of OUD in both sexes.
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Affiliation(s)
- Taeho Greg Rhee
- VA New England Mental Illness, Research, Education and Clinical Center (MIRECC), VA Connecticut Healthcare System, West Haven, CT (TGR, MKRP, MS, RAR); Department of Psychiatry, School of Medicine, Yale University, New Haven, CT (TGR, MKRP, MS, RAR); Department of Public Health Sciences, School of Medicine, University of Connecticut Health Care, Farmington, CT (TGR); Psychology Service, VA Connecticut Healthcare System, West Haven, CT (MKRP)
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Alexander K, Kronk R, Sekula K, Short V, Abatemarco D. Implementation of a Mindfulness Intervention for Women in Treatment for Opioid Use Disorder and Its Effects on Depression Symptoms. Issues Ment Health Nurs 2019; 40:690-696. [PMID: 31100036 DOI: 10.1080/01612840.2019.1585499] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Background: Many women in treatment for opioid use disorder (OUD) also experience mental health co-morbidities. Mindfulness intervention has demonstrated effectiveness for improving mental health in the general population, but has not been tested with female populations in OUD treatment. The purpose of this study was to describe characteristics associated with participation in a mindfulness intervention provided to women in treatment for OUD, and also to evaluate the effectiveness of a mindfulness intervention on depression symptoms. Aims: To evaluate participation characteristics associated with a mindfulness intervention and to assess the impact of a mindfulness intervention on depression symptoms for women with OUD. Methods: A secondary data analysis of a mindfulness intervention with women in treatment for OUD was accomplished. Bivariate analysis was conducted to determine any sociodemographic variables associated with intervention participation. Depression scores were assessed pre and post intervention using paired samples t tests for the intervention group (n = 65) and the control group (n = 8). Results: A 45% of women in the study reported moderate to severe depression symptoms at baseline, and 63% reported high levels of childhood trauma. There was a significant decrease in depression scores (M = 3.6 [1.2,6.1]) following the mindfulness intervention for the intervention group (t(64) = 3.1, p = .003). Participants entering the intervention group with moderate to severe depression scores experienced the most significant decrease in depression symptoms (M = 6.6, SD = 13.5), (t(64) = -2.1, p < .05). Conclusions: Women in treatment for OUD experience high levels of depression symptoms and past trauma, and mindfulness is a feasible intervention for OUD populations which may improve depression symptoms.
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Affiliation(s)
- Karen Alexander
- a Jefferson College of Nursing , Thomas Jefferson University , Philadelphia , PA , USA
| | - Rebecca Kronk
- b School of Nursing , Duquesne University , Pittsburgh , PA , USA
| | - Kathleen Sekula
- b School of Nursing , Duquesne University , Pittsburgh , PA , USA
| | - Vanessa Short
- c Sidney Kimmel Medical College , Thomas Jefferson University , Philadelphia , PA , USA
| | - Diane Abatemarco
- c Sidney Kimmel Medical College , Thomas Jefferson University , Philadelphia , PA , USA
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Zhou K, Li H, Wei X, Yin J, Liang P, Zhang H, Kou L, Hao M, You L, Li X, Zhuang G. Relationships between received and perceived social support and health-related quality of life among patients receiving methadone maintenance treatment in Mainland China. Subst Abuse Treat Prev Policy 2017; 12:33. [PMID: 28651618 PMCID: PMC5485611 DOI: 10.1186/s13011-017-0116-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Accepted: 06/21/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Social support has been considered one of the most important factors of health-related quality of life (HRQoL) evaluations among different populations; however, few studies have explored the relationships of both received and perceived social support to HRQoL among patients undergoing methadone maintenance treatment (MMT). Thus, the purpose of this cross-sectional study was to clarify these relationships. METHODS Participants were patients admitted at the two largest privately and publicly funded MMT clinics in Xi'an. The main explanatory variable was social support, both received (i.e., social network support and professional support services) and perceived (Multidimensional Scale of Perceived Social Support). The outcome was HRQoL, which was evaluated using the Short-Form 36 Health Survey version 2 (SF-36v2) and the Quality of Life Scale for Drug Addicts (QOL-DAv2.0). We carried out independent samples t-tests and multiple linear regression analysis to examine the relationships between received and perceived social support and HRQoL. RESULTS The study findings revealed that patients with good social support had significantly higher scores on the SF-36v2 and QOL-DAv2.0 (p < 0.05). After controlling for individual characteristics, the significant factors predicting HRQoL were good family relationships, usually communicating with others, a convenient service time, appropriate treatment charges, and good perceived social support (p < 0.05). CONCLUSIONS Our results suggest that received and perceived social support influences HRQoL among individuals receiving MMT. Thus, these variables should be considered during health management efforts and interventions directed at this patient population.
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Affiliation(s)
- Kaina Zhou
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
| | - Hengxin Li
- Xi’an Center for Disease Control and Prevention, No. 599 Xiying Road, Xi’an, Shaanxi 710054 China
| | - Xiaoli Wei
- Xi’an Center for Disease Control and Prevention, No. 599 Xiying Road, Xi’an, Shaanxi 710054 China
| | - Juan Yin
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
| | - Peifeng Liang
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
| | - Hongmei Zhang
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
| | - Lingling Kou
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
| | - Mengmeng Hao
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
| | - Lijuan You
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
| | - Xiaomei Li
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
| | - Guihua Zhuang
- Xi’an Jiaotong University Health Science Center, No. 76 Yanta West Road, Xi’an, Shaanxi 710061 China
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