Next Article in Journal
Parents’ Experiences after Their Child’s Autism Diagnosis: A Reflexive Thematic Analysis
Previous Article in Journal
Presence of Emotions in Network Discourse on Mental Health: Thematic Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Positive Emotions and Quality of Life among Malaysian Patients on Methadone Maintenance Therapy and Their Psychosocial Correlates

1
Hospital Permai, Johor Bahru 81200, Malaysia
2
Department of Psychological Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 59100, Malaysia
3
Hospital Tuanku Jaafar, Seremban 70300, Malaysia
4
Klinik Pakar A N & K, C-G-01, JALAN SS 20/27, Damansara Intan, Petaling Jaya 47400, Malaysia
5
Hospital Selayang, Batu Caves 68100, Malaysia
6
Clinical Psychology and Behavioral Health Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia
7
Centre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia
*
Authors to whom correspondence should be addressed.
Psychiatry Int. 2024, 5(3), 360-369; https://doi.org/10.3390/psychiatryint5030025
Submission received: 7 March 2024 / Revised: 16 July 2024 / Accepted: 17 July 2024 / Published: 24 July 2024

Abstract

:
The main objective of this study was to assess the positive emotions and the quality of life among patients on methadone maintenance therapy (MMT) as well as their associated factors. This is a cross-sectional survey study. Participants undergoing MMT in two major Malaysian hospitals responded to the sociodemographic and clinical information sheet, the Positive Emotion Rating Scale (PERS), and the World Health Organization Quality of Life (WHOQOL)-BREF. Most of the participants (N = 154; mean age = 43.8 ± 9.0 years) were male (97.4%) and Malays (75.3%). Slightly more than half (50.6%) scored above 30 on the Positive Emotion Rating Scale. There was a significant association between being ethnically Malay, married, and employed and positive emotions. After adjusting for potential confounding factors, having positive emotions predicted a better overall, physical, and psychological quality of life. Being non-diabetic also significantly predicted a better quality of life in the overall domain, whilst not being married and family history of mental illness significantly predicted a lower overall and psychological quality of life. Positive emotions significantly improve patients’ quality of life in the MMT program, suggesting the inclusion of positive emotions in a holistic treatment approach.

1. Introduction

Worldwide, 5.3% of the global population between the ages of 15 and 64 years, or an equivalent of about 269 million people, used drugs at least once in 2018. Among them, about 58 million people used opioids, according to the World Drug Report [1]. In Malaysia, there is concern about the growing use of opioids in the country. The Malaysian antidrug agency, Agensi Antidadah Kebangsaan [2], identified 17,474 new cases and 7793 relapse cases of drug abuse in 2018 alone. Of these, 7746 were dependent on opiates. A nationally representative study in 2021 showed that the lifetime prevalence of opiate use was 1% with an estimated population of 109,502 persons, while the current use of opiates was estimated to be 91,889 persons at a 0.8% prevalence [3].
The Ministry of Health initiated the Methadone Maintenance Treatment (MMT), a national harm reduction program in 2005 involving 18 centers. Methadone is an effective treatment to reduce opiate use through opiate substitution therapy globally [1] and in Malaysia [4]. Undergoing MMT has also been consistently found to improve the quality of life (QoL) of patients in Malaysia [5,6]. Another Malaysia study assessing the long-term outcome of MMT treatment on QoL showed that even though the patients’ QoL improved significantly between baseline and a two-year follow-up, the QoL of these participants did not continue to improve significantly beyond follow-up [7]. Factors associated with a poorer improvement in QoL were being above 50 years old, having an HIV-positive status, and the manifestation of physical symptoms [7]. A recent study suggested that not being married and having poorer health status was associated with lower QoL among Malaysian MMT patients [8]. The inclusion of QoL as an outcome assessment for MMT effectiveness is important because drug use affects an individual’s life systemically, i.e., in all important areas of life such as physically, psychologically, environmentally, and socially. Therefore, a meaningful impact assessment of treatment success should include a patient’s QoL as well [5,6].
There are several factors that could affect the effectiveness of MMT, including comorbid psychiatric disorders such as depression and anxiety [9,10]. A study among Canadian MMT patients revealed that 80% had a comorbid psychiatric disorder and that the usage of tranquilizers (which are commonly prescribed for anxiety disorders) predicted higher rates of continued illicit opioid use [11]. Another study found that about 45% of opiate-dependent patients had lifetime mood disorders, with 19% having a current major depressive episode and 24% of them having at least one episode in the past [12]. This may be due to an effort to avoid negative emotions through the use of opioids, which developed into a pattern of ineffective coping and an increasingly pessimistic view of life [13]. As comorbidity of opioid use disorders and other psychiatric disorders is highly prevalent, treatment of opioid use disorder through MMT is increasingly taking into account mental health treatment or psychotherapy as an adjuvant care component to methadone treatment [14].
There has been a dearth of studies that employed positive emotions in the treatment of addictive disorders [15]. Individuals with lower positive emotions are more likely to be involved in drug abuse [16]. Similarly, a study among women who had experienced domestic violence in the US revealed that difficulty regulating positive emotions was associated with greater drug use [17]. Therefore, emotion regulation strategies and positive emotions play an important role in preventing substance abuse recurrence [16]. Over the past decades, research in positive emotions has grown exponentially with the advancement of positive psychology in the prevention and recovery of depression [15,18,19]. In Malaysia, even though the Positive Emotion Rating Scale was translated and validated in the Malay language [19], there is a scarcity of studies measuring positive emotions in both the general population and among MMT patients.
However, the focus of most studies on MMT in the past was to examine its outcomes in terms of drug-related behavior, criminal behaviors, HIV-risk-related behaviors, transmissions of infections, sexual dysfunction, quality of life, and mortality [5,19,20,21,22]. Therefore, this study aims to examine the level of positive emotions among patients on MMT and its association with patients’ quality of life, as well as the associated factors of both positive emotions and QoL.

2. Materials and Methods

2.1. Study Design and Settings

This was a cross-sectional study. The study was conducted among patients receiving methadone maintenance therapy (MMT) at Universiti Malaya Medical Centre (UMMC), Kuala Lumpur and Tuanku Ja’afar Seremban Hospital (HTJS), Seremban, Malaysia.

2.2. Participants

The sample size was determined using the following formula (t2 × p (1 − p))/m2; assuming the confidence interval of 95% (standard value of 1.96), an estimated prevalence from a study of 11.2% [23], and a margin of error at 5% (standard value of 0.05), the required sample size was 153 subjects. A non-duplicated sample of participants from the two hospitals was recruited via convenience sampling. The inclusion criteria for this study included MMT patients who were aged 18 or above, who fulfilled the diagnosis of opioid dependence based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) [24], had received MMT for at least one month, and were literate in the Malay or English language. Individuals diagnosed with intellectual disabilities, cognitive impairments, psychotic symptoms, and behavior disturbances were excluded.

2.3. Data Collection Tools and Procedures

A brief questionnaire was developed to obtain relevant socio-demographic data and clinical information from the participants. The demographic variables obtained were age, ethnicity, marital status, employment status, and family history of substance use or mental illness. Clinical data included the duration and dosage of MMT, any comorbid medical illnesses, and a history of other substance use in the last month.
The Malay version of the Positive Emotion Rating Scale (PERS-M) was used to measure positive emotions among the MMT patients. The questionnaire consists of eight items and covers six domains of positive emotions, which include contentment, interest, love, gratification, activity, and pride. PERS-M showed good internal consistency (Cronbach’s α = 0.89), parallel reliability, and concurrent validity with the Dispositional Positive Emotional Scale (DPES) and the Malay version of the Snaith–Hamilton Pleasure Scale (SHAPS-M). The optimal cut-off value for PERS-M was 32, with a sensitivity of 0.68, a specificity of 0.63, a positive predictive value of 0.49, and a negative predictive value of 0.79 [19].
The Malay version of the World Health Organization Quality of Life (WHOQOL)-BREF was used to assess the quality of life among the patients on MMT. The domains of quality of life measured included physical health, psychological health, social relationships, environment, overall quality of life, and general health. Compared to WHOQOL-100, the abbreviated, 26-question WHOQOL-BREF is less time-consuming and more practical in daily clinical practice. The Malay version of WHOQOL-BREF showed good internal consistency estimates (ranging from 0.64 to 0.80 for all domains), test–test reliability, and both discriminant and construct validity [25].
Ethical committee approval was obtained from the Malaysian Medical Research and Ethics Committee (Approval No.: NMRR-17-2700-33530) before the data collection commenced. Each potential participant was approached separately. Informed consent for study participation was obtained from all participants. Before obtaining consent, the patients were provided with the Patient Information Sheet, and important information about the study was included. The data collection was conducted between August and October 2020. As the investigator on site (SG) was involved in the treatment of the patients in the unit, she was not involved in the data collection to prevent bias. Hence, prior to the administration of the questionnaire, an assistant medical officer was briefed about the study and trained regarding the questionnaire contents. He was present with the participants throughout the self-administration of the questionnaire to guide the participants if required. The participants took about 15 to 20 min to complete the questionnaire. Participants were referred to the appropriate services for further management if there was a need.

2.4. Data Management and Statistical Analysis

The data were entered into and analyzed using IBM SPSS Statistics for Windows, version 23.0. Descriptive statistics were used to summarize the data. The scores of the PERS-M and each domain of the WHOQOL-BREF were tabulated. The association between demographic factors, clinical variables, and positive emotions was assessed via bivariate analyses, using an independent samples t-test for categorical predictor variables and Pearson’s correlation for normally distributed predictor variables. The bivariate analyses were then followed up with multiple linear regression analyses to further explore the association between the significant variables and positive emotions. Subsequently, similar analyses were repeated to determine the association between PERS, demographic/clinical variables, and QoL. Statistical significance was set at p < 0.05 for two-tailed tests.

3. Results

3.1. Demographic and Clinical Background of Participants

A total of 154 patients on MMT participated in this study and their sociodemographic and clinical information were summarized in Table 1. The participants (mean age = 44.1 years, SD ± 9.04) were mainly males (96.1%, n = 148), Malays (75.3%, n = 116), married (55.8%, n = 86), employed (85.1%, n =131), and without a family history of substance use or mental illness (87.7%, n = 135). The mean duration of MMT was 71.6 months (SD ± 40.1), and the mean daily MMT dose was 63.6 mg (SD ± 31.1). Almost all participants were smokers (97.4%, n = 150). Despite being on MMT, about one-tenth of the patients were still using at least one other substance concurrently, which included alcohol (12.3%, n = 19), heroin (8.4%, n = 13), stimulants (7.8%, n = 12), benzodiazepine (6.5%, n = 10), and cannabis (4.5%, n = 7). Nearly half of the patients (48.1%, n = 74) tested positive for hepatitis C and 7.8% (n = 12) were HIV positive. Hypertension was the most prevalent comorbid medical illness among the participants (9.7%, n = 15), followed by diabetes mellitus (6.5%, n = 10), bronchial asthma (5.8%, n = 9), other medical conditions (5.8%, n = 9), and hyperlipidemia (0.6%, n = 1) (Table 1).

3.2. Positive Emotions among MMT Patients and Its Associated Factors

The mean PERS-M score among the MMT patients was 29.10 ± 6.16 (Table 2). Only about one-third (36.4%, n = 56) of the participants scored 32 or above, indicating a good range of positive emotion, while the remaining majority (63.6%, n = 98) had lower positive emotion scores. Bivariate analyses showed that Malays (p = 0.029) and those married (p = 0.016) were significantly associated with a higher PERS-M score, while alcohol use (p = 0.046) was significantly associated with a lower PERS-M score. Interestingly, neither the dosage nor duration of MMT was found to have any significant relationship with positive emotions. Following multiple linear regression, being married (p = 0.045) was the only factor that remained significant in predicting a higher PERS-M score among the MMT patients (Table 3).

3.3. Quality of Life and Its Relationship with Positive Emotions and Other Factors

The mean WHOQOL-BREF score among the participants was 14.55 (SD ± 2.01), 14.43 (SD ± 2.36), 13.88 (SD ± 2.86), 14.19 (SD ± 2.16), 3.73 (SD ± 0.80), and 3.54 (SD ± 0.74) for physical health, psychological health, social relationships, environment, overall quality of life, and general health (Table 2). Even after adjusting for all confounders, positive emotions were significantly associated with a higher quality of life in all WHOQOL-BREF domains. All other significant factors (Malay, employed, family history of mental illness, duration of MMT, and type of drug use) associated with each QoL domain of WHOQOL-BREF were summarized in Table 4.

4. Discussion

One of the most prescribed and effective treatments for opioid dependence is MMT. However, studies on positive emotions among MMT patients are rare. Opioid-dependent patients are a vulnerable group with high relapse rates, and the risk of mortality is especially high after a period of abstinence due to loss of tolerance to the drug. As positive emotions are protective factors against substance use, assessing MMT patients’ positive emotions and their association with QoL were indeed areas of importance. The main finding of this study was that positive emotions significantly predicted overall and all QoL subdomains among MMT patients after adjusting for potential confounding factors. It has been previously established that high levels of positive emotions can promote well-being and are of paramount importance when it comes to human flourishing, which includes psychological and physical health [26]. Therefore, positive emotions are an integral aspect to be considered and incorporated as a treatment modality in the improvement of the quality of life of MMT patients. A past study on Malaysian working adults has shown that positive emotions were improved through a virtual reality intervention [27]. Unfortunately, when applied to MMT patients in China, a clinical trial showed that a positive psychological intervention among MMT patients was not effective in improving their mental health status [28]. However, the relatively simple treatment of asking the patients to record three good things that happened every day for a fortnight may not be adequate to address the complex life issues that MMT patients faced, and therefore a longer and more innovative treatment was recommended by the authors [28].
This study found that about half of the study participants recorded good positive emotions whilst the remaining half had reduced positive emotions. Eliciting positive emotions as part of the treatment of depression has been shown to reduce the signs and symptoms of depression, as well as prevent substance use relapse [29]. In this study, we did not collect data regarding the patients’ depression and anxiety status. However, as 50% of the study participants reported reduced positive emotions, they were highly likely to have a mood disorder or be predisposed to a mood disorder [30]. It must be remembered that being in the MMT program does not systemically resolve other problematic aspects of the patients’ lives. They may still face many other underlying problems that were not addressed in MMT. These problems and the lack of resilience were probably the contributing factors to lower positive emotions [31]. Low positive emotions are a concern, as individuals who failed to regulate positive emotions were found to have a greater risk of drug use [17]. Therefore, there is a need to reinforce positive emotions among opioid-dependent individuals [29].
The significant predictors for good positive emotions were being Malay, married, and a non-alcoholic user. With regard to ethnicity, Malays had higher PERS and social QoL mean scores. The higher prevalence of positive emotions and QoL in this ethnic group could be due to a number of factors. First of all, Malays may have enjoyed a higher social relationship QoL due to larger average family sizes, which provided social support. On the other hand, as most Malays are religiously affiliated with Islam, it may be worth investigating whether religiosity among the Malays contributed to greater positive emotions and QoL. Religion has been widely used as a way to attempt to deal with sickness and a study found that the greater the religious commitment, the better an individual’s well-being. The protectiveness of religion against psychological distress and other health-related outcomes has been attributed to religious practices that increase the inclusion of an individual in society and widen their social support network [32]. However, the association between Islam and positive emotions and social QoL remains to be further investigated.
Another significant association was between positive emotions and being married, and it was the only factor that remained significant after adjusting for other confounders. The results are consistent with another study among Malaysian MMT in which lower QoL was reported among those not married [8]. Past studies have found that individuals who were married had better health [33] and men who were living with their spouses had lower incidences of psychiatric illness [34]. Marriage could be a factor influencing positive emotions as it has a “buffering” effect against negative events through the social support provided by a spouse [30]. This improves one’s self-esteem and provides them with a strong positive sense of identity and self-worth, which could contribute to positive emotions.
As for comorbid substance use, there was a significant association between alcohol use and reduced positive emotions. There have been studies that indicated alcohol use was associated with symptoms of depression and negative emotions. A study among MMT patients in China noted that 29.0% of the patients reported current drinking, whilst another 10.4% reported hazardous drinking, and that alcohol abuse/dependence was associated with worse depression and anxiety [35]. This may lead to negative MMT outcomes, as past studies have shown that alcohol abuse among MMT patients increased the risk of nonadherence to MMT, opioid relapse, and negative psychological outcomes [36,37]. On the other hand, current stimulant and heroin use among MMT patients contributed to poorer QoL. The increasing prevalence of methamphetamine-type stimulant use among MMT patients may be attributed to a lack of knowledge regarding its dangers and believing that it is a safe drug to be used with methadone [38,39]. MMT patients need to be educated regarding the dangers of concurrent substance use with MMT treatment, especially as it may contribute negatively to a patient’s QoL.
Other significant predictors for higher overall QoL and its subdomains were being Malay, employed, and a longer duration of MMT. The findings were consistent with a number of past studies conducted among other populations. For example, being employed was associated with a higher health-related QoL [40]. Unemployment may have a negative association with physical health QoL as it is a stressful condition related to depression and anxiety and predicts lower healthcare utilization [40]. On the other hand, unemployed individuals may have lost or left their jobs due to ill health in the first place [40]. Considering the importance of employment to MMT patients’ QoL, the treatment of MMT patients may need to incorporate occupational skills that equip MMT patients to become socially incorporated into the working force after MMT is completed. On the other hand, a longer duration of MMT may have allowed the participant to be less opioid dependent, thus improving their psychological QoL.
There are several limitations to this study. A large majority (96.1%) of the participants were male. In addition, the Chinese population and other ethnic groups in Malaysia were underrepresented in comparison to Malays. Future studies could use sex and ethnic stratification during data collection to achieve better representativeness in the sample. Next, we did not investigate associations between positive emotion and religious affiliation. While the Islamic worldview may be supportive of positive emotions, it may possibly increase the stigma of being a methadone user and receiving MMT. The nuanced impact of religiosity on the QoL of MMT patients would be worth investigating in future studies. Based on preliminary findings on the significance of demographic and clinical background on positive emotions and the QoL of MMT patients (such as sex, ethnicity, marital status, and the presence of comorbidities), following up with a qualitative study may be fruitful in providing contextual data on how the participants’ antecedent characteristics could influence these outcomes.
In conclusion, this study revealed a strong association between positive emotions and quality of life in patients receiving methadone treatment. Positive emotions are important as they contribute to a reduction of psychological distress and improve psychological well-being and overall health [19], which ultimately leads to a better quality of life. The findings should inform mental health providers that it is important to include positive emotions assessment and interventions into the MMT program for a more holistic and comprehensive approach to treatment.

Author Contributions

Conceptualization, N.S.G. and M.K.; methodology, N.S.G. and M.K.; software, C.S.S.; formal analysis, N.S.G. and M.K.; investigation, N.S.G. and M.K.; resources, M.K.; data curation, N.S.G.; writing—original draft preparation, N.S.G., M.K. and C.S.S.; writing—review and editing, N.S.G., M.K., R.A.R., R.P., A.H.H., C.S.S., N.A., C.H.M. and C.G.N.; supervision, M.K.; project administration, M.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical approval was obtained from the Malaysian Medical Research and Ethics Committee (Approval No.: NMRR-17-2700-33530).

Informed Consent Statement

Informed consent was obtained from all participants involved in the study.

Data Availability Statement

Data are available from the corresponding author upon reasonable request.

Acknowledgments

We would like to thank all study participants.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. UNODC (United Nations Office on Drugs and Crime). World Drug Report 2015; United Nations Office on Drugs and Crime: Vienna, Austria, 2015. [Google Scholar]
  2. AADK (Agensi Anti Dadah Kebangsaan). Statistik Dadah; Agensi Anti Dadah Kebangsaan: Kajang, Malaysia, 2018. [Google Scholar]
  3. Ismail, R.; Abdul Manaf, M.R.; Hassan, M.R.; Mohammed Nawi, A.; Ibrahim, N.; Lyndon, N.; Amit, N.; Zakaria, E.; Abd Razak, M.A.; Zaiedy Nor, N.I.; et al. Prevalence of Drug and Substance Use among Malaysian Youth: A Nationwide Survey. Int. J. Environ. Res. Public Health 2022, 19, 4684. [Google Scholar] [CrossRef] [PubMed]
  4. Ali, N.; Aziz, S.A.; Nordin, S.; Mi, N.C.; Abdullah, N.; Paranthaman, V.; Mahmud, M.; Yee, A.; Danaee, M. Evaluation of methadone treatment in Malaysia: Findings from the Malaysian methadone treatment outcome study (MyTOS). Subst. Use Misuse 2018, 53, 239–248. [Google Scholar] [CrossRef] [PubMed]
  5. Baharom, N.; Hassan, M.R.; Ali, N.; Shah, S.A. Improvement of quality of life following 6 months of methadone maintenance therapy in Malaysia. Subst. Abus. Treat. Prev. Pol. 2012, 7, 32. [Google Scholar] [CrossRef] [PubMed]
  6. Huong, A.G.W.; Guan, N.C.; Nordin, A.S.A.; Adlan, A.S.A.; Habil, H. Quality of life assessment of opioid substance abusers on methadone maintenance therapy (MMT) in University Malaya Medical Centre. ASEAN J. Psychiatr. 2009, 10, 1–11. [Google Scholar]
  7. Fei, J.T.B.; Yee, A.; Habil, M.H.B.; Danaee, M. Effectiveness of methadone maintenance therapy and improvement in quality of life following a decade of implementation. J. Subst. Abus. Treat. 2016, 69, 50–56. [Google Scholar]
  8. Moey, C.H.; Yee, A.; Muhamud@ Kayat, S.B. Tobacco use disorder: Prevalence, associated factors and its influence on quality of life among patients on methadone assisted treatment. J. Addict. Dis. 2020, 38, 263–270. [Google Scholar] [CrossRef] [PubMed]
  9. Le, T.A.; Le, M.Q.T.; Dang, A.D.; Dang, A.K.; Nguyen, C.T.; Pham, H.Q.; Vu, G.T.; Hoang, C.L.; Tran, T.T.; Vuong, Q.H.; et al. Multi-level predictors of psychological problems among methadone maintenance treatment patients in difference types of settings in Vietnam. Subst. Abus. Treat. Prev. Pol. 2019, 14, 39. [Google Scholar] [CrossRef]
  10. Peles, E.; Schreiber, S.; Naumovsky, Y.; Adelson, M. Depression in methadone maintenance treatment patients: Rate and risk factors. J. Affect. Disord. 2007, 99, 213–220. [Google Scholar] [CrossRef]
  11. Rosic, T.; Naji, L.; Bawor, M.; Dennis, B.B.; Plater, C.; Marsh, D.C.; Thabane, L.; Samaan, Z. The impact of comorbid psychiatric disorders on methadone maintenance treatment in opioid use disorder: A prospective cohort study. Neuropsychiatr. Dis. Treat. 2017, 13, 1399–1408. [Google Scholar] [CrossRef]
  12. Savant, J.D.; Barry, D.T.; Cutter, C.J.; Joy, M.T.; Dinh, A.; Schottenfeld, R.S.; Fiellin, D.A. Prevalence of mood and substance use disorders among patients seeking primary care office-based buprenorphine/naloxone treatment. Drug Alcohol Depend. 2013, 127, 243–247. [Google Scholar] [CrossRef]
  13. Alim, T.N.; Lawson, W.B.; Feder, A.; Iacoviello, B.M.; Saxena, S.; Bailey, C.R.; Greene, A.M.; Neumeister, A. Resilience to meet the challenge of addiction: Psychobiology and clinical considerations. Alcohol Res.-Curr. Rev. 2012, 4, 506. [Google Scholar]
  14. Alim, T.; Kumari, S.; Adams, L.; Saint-Cyr, A.; Tulin, S.; Carpenter-Song, E.; Hipolito, M.; Peterson, L.; Lawson, W.B. Craving and depression in opiate-dependent mentally ill African Americans receiving Buprenorphine/Naloxone and Group CBT (Cognitive Behavioral Therapy). Clin. Psychiatry 2017, 3, 11. [Google Scholar] [CrossRef]
  15. Krentzman, A.R.; Barker, S.L. Counselors’ perspectives of positive psychology for the treatment of addiction: A mixed methods pilot study. Alcohol. Treat. Q. 2016, 34, 370–385. [Google Scholar] [CrossRef] [PubMed]
  16. Hoseiny, H.; Jadidi, M.; Nataj, L.H.; Saberi-Zafarghandi, M.B. The effect of methadone-maintenance therapy with and without interactive treatment on improving emotion-regulation strategies and resilience among opiate-dependent clients. Int. J. High. Risk. Behav. Addict. 2015, 4, e23526. [Google Scholar] [CrossRef]
  17. Weiss, N.H.; Dixon-Gordon, K.L.; Peasant, C.; Sullivan, T.P. An examination of the role of difficulties regulating positive emotions in posttraumatic stress disorder. J. Trauma Stress 2018, 31, 775–780. [Google Scholar] [CrossRef]
  18. Sin, N.L.; Lyubomirsky, S. Enhancing well-being and alleviating depressive symptoms with positive psychology interventions: A practice-friendly meta-analysis. J. Clin. Psychol. 2009, 65, 467–487. [Google Scholar] [CrossRef]
  19. Mohamed, F.A.; Ng, C.G.; Ong, L.Y. The psychometric properties of the Malay version Positive Emotion Rating Scale (PERS-M). Malays. J. Psychiatr. 2017, 25, 36–46. [Google Scholar]
  20. Fullerton, C.A.; Kim, M.; Thomas, C.P.; Lyman, D.R.; Montejano, L.B.; Dougherty, R.H.; Daniels, A.S.; Ghose, S.S.; Delphin-Rittmon, M.E. Medication-assisted treatment with methadone: Assessing the evidence. Psychiatr. Serv. 2014, 65, 146–157. [Google Scholar] [CrossRef]
  21. MacArthur, G.J.; Minozzi, S.; Martin, N.; Vickerman, P.; Deren, S.; Bruneau, J.; Degenhardt, L.; Hickman, M. Opiate substitution treatment and HIV transmission in people who inject drugs: Systematic review and meta-analysis. BMJ 2012, 345, e5945. [Google Scholar] [CrossRef]
  22. Ruzyanei NJ, N.; Noormazita, M.; Azlin, B.; Normala, I.; Hazli, Z.; Aziz, S.A.; Hatta, S. Clinical correlates of erectile dysfunction among male patients on methadone maintenance therapy (MMT) in Kuala Lumpur. Malays. J. Med. Health Sci. 2012, 8, 27–35. [Google Scholar]
  23. Shion, L.D.; Ying, D.L.S.; Aznal, S.S.S. Assessment effects of maintenance therapy on quality of life of opiate abusers. ASEAN J. Psychiatr. 2014, 15, 131–139. [Google Scholar]
  24. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed.; American Psychiatric Publishing: Washington, DC, USA, 2013. [Google Scholar]
  25. Hasanah, C.I.; Naing, L.; Rahman, A.R.A. World Health Organization quality of life assessment: Brief version in Bahasa Malaysia. Med. J. Malays. 2003, 58, 79–88. [Google Scholar]
  26. Gruber, J.; Kogan, A.; Quoidbach, J.; Mauss, I.B. Happiness is best kept stable: Positive emotion variability is associated with poorer psychological health. Emotion 2013, 13, 1. [Google Scholar] [CrossRef] [PubMed]
  27. Mahmud, A.A.E.; Zakaria, H.; Yusoff, M.Z.M.; Jaafar, N.R.N.; Baharudin, A.; Tamil, A.M. Brief Virtual Reality Exposure Therapy and Its Effects on Negative and Positive Emotions Among Healthy Working Adults: A Feasibility Study. Alpha Psychiatry 2022, 23, 223. [Google Scholar] [CrossRef] [PubMed]
  28. Jiao, M.; Chen, W.; Gu, J.; Li, J.; Liu, D.; Lau, J.T.; Mo, P.; Zhang, X.; Du, X.; Hao, Y. Efficacy of a positive psychological intervention in improving mental health status among methadone maintenance treatment users in Guangzhou, China—A randomized controlled trial. Int. J. Mental Health Addict. 2021, 19, 971–985. [Google Scholar] [CrossRef]
  29. Santos, V.; Paes, F.; Pereira, V.; Arias-Carrión, O.; Silva, A.C.; Carta, M.G.; Nardi, A.E.; Machado, S. The role of positive emotion and contributions of positive psychology in depression treatment: Systematic review. Clin. Pract. Epidemiol. Ment. Health 2013, 9, 221. [Google Scholar] [CrossRef] [PubMed]
  30. Vanderlind, W.M.; Everaert, J.; Joormann, J. Positive emotion in daily life: Emotion regulation and depression. Emotion 2022, 22, 1614–1624. [Google Scholar] [CrossRef] [PubMed]
  31. Fredrickson, B.L.; Joiner, T. Reflections on positive emotions and upward spirals. Perspect. Psychol. Sci. 2018, 13, 194–199. [Google Scholar] [CrossRef] [PubMed]
  32. Holt, C.L.; Roth, D.L.; Huang, J.; Clark, E.M. Role of religious social support in longitudinal relationships between religiosity and health-related outcomes in African Americans. J. Behav. Med. 2018, 41, 62–73. [Google Scholar] [CrossRef]
  33. Dupre, M.E.; Beck, A.N.; Meadows, S.O. Marital trajectories and mortality among US adults. Am. J. Epidemiol. 2009, 170, 546–555. [Google Scholar] [CrossRef]
  34. Kim, A.; Lee, J.A.; Park, H.S. Health behaviors and illness according to marital status in middle-aged Koreans. J. Public Health 2018, 40, e99–e106. [Google Scholar] [CrossRef]
  35. Zhong, B.L.; Xu, Y.M.; Xie, W.X.; Lu, J.; Yu, W.B.; Yan, J. Alcohol drinking in Chinese methadone-maintained clients: A self-medication for depression and anxiety? J. Addict. Med. 2019, 13, 314. [Google Scholar] [CrossRef] [PubMed]
  36. Nolan, S.; Klimas, J.; Wood, E. Alcohol use in opioid agonist treatment. Addict. Sci. Clin. Pract. 2016, 11, 17. [Google Scholar] [CrossRef]
  37. Soyka, M. Alcohol use disorders in opioid maintenance therapy: Prevalence, clinical correlates and treatment. Eur. Addict. Res. 2015, 21, 78–87. [Google Scholar] [CrossRef] [PubMed]
  38. Singh, D.; Kamal, W.M.; Narayanan, S.; Vicknasingam, B. Methamphetamine use and misconceptions among primary and private Methadone Maintenance Treatment (MMT) program attendees in Klang Valley, Malaysia. J. Subst. Use 2020, 25, 528–534. [Google Scholar] [CrossRef]
  39. Singh, D.; Mamat, R.B.; Narayanan, S.; Vicknasingam, B. Prevalence of Amphetamine-Type Stimulants (ATS) use among clients in primary and private Methadone Maintenance Treatment (MMT) program in Kuantan, Malaysia. J. Subst. Use 2019, 24, 666–671. [Google Scholar] [CrossRef]
  40. Norström, F.; Waenerlund, A.K.; Lindholm, L.; Nygren, R.; Sahlén, K.G.; Brydsten, A. Does unemployment contribute to poorer health-related quality of life among Swedish adults? BMC Public Health 2019, 19, 457. [Google Scholar] [CrossRef]
Table 1. Sociodemographic and clinical variables of the participants.
Table 1. Sociodemographic and clinical variables of the participants.
VariableFrequency (n) or Mean ± SDPercent
Mean age ± SD (years)44.10 ± 9.04
Gender
Male
Female

148
6

96.1
3.9
Ethnicity
Malay
Other ethnic groups

116
38

75.3
24.7
Marital status
Married
Unmarried

86
68

55.8
44.2
Employment
Employed
Not employed

131
23

(85.1)
(14.9)
Family history of substance use/mental illness
Yes
No


19
135


12.3
87.7
Mean MMT daily dosage ± SD (mg)63.6 ± 31.3
Mean MMT duration ± SD (months)71.6 ± 40.1
Concurrent substance use (answered “Yes”)
Tobacco
Alcohol
Benzodiazepine
Cannabis
Stimulant
Heroin

150
19
10
7
12
13

97.4
12.3
6.5
4.5
7.8
8.4
Comorbid medical illness (answered “Yes”)
Diabetes mellitus
Hypertension
Hyperlipidaemia
Bronchial asthma
Hepatitis
HIV status
Others

10
15
1
9
74
12
9

6.5
9.7
0.6
5.8
48.1
7.8
5.8
Table 2. PERS-M and WHOQOL-BREF Scores.
Table 2. PERS-M and WHOQOL-BREF Scores.
Mean ± SDn (%)
Positive emotions
Mean
Score < 32
Score ≥ 32
29.10 ± 6.16

98 (63.6)
56 (36.4)
WHOQOL-BREF domains
Physical health
Psychological
Social relationship
Environment
Overall quality of life
Overall general health

14.55 ± 2.01
14.43 ± 2.36
13.88 ± 2.86
14.19 ± 2.16
3.73 ± 0.80
3.54 ± 0.74
Note: PERS-M = Positive Emotion Rating Scale-Malay. WHOQOL-BREF = World Health Organization Quality of Life-Brief Version.
Table 3. Multiple linear regression of factors associated with positive emotions.
Table 3. Multiple linear regression of factors associated with positive emotions.
VariableUnstandardized CoefficientsStandardized Coefficientstp Value
BStandard Errorβ
Malay1.7631.2170.1241.4490.150
Other ethnic groups 0.000
Married2.0120.9940.163 *2.0250.045
Unmarried 0.000
Alcohol use—“Yes”−1.5641.609−0.084−0.9720.333
Alcohol use—“No” 0.000
Note. * p < 0.05;. Reference group.
Table 4. Multiple linear regression of factors significantly associated with WHOQOL-BREF domains.
Table 4. Multiple linear regression of factors significantly associated with WHOQOL-BREF domains.
VariableStandardized Coefficient (β)
Domain 1: PhysicalDomain 2:
Psychological
Domain 3:
Social
Domain 4:
Environment
Overall QOLGeneral Health
PERS-M0.500 **0.665 **0.473 **0.713 **0.539 **0.398 **
Malay 0.193 **
Other ethnic groups
Employed0.144 *
Unemployed
Family history of mental illness—“Yes” 0.183 **
Family history of mental illness—“No”
Duration of MMT 0.189 **
Stimulant use—“Yes”−0.188 * −0.156 *
Stimulant use—“No”
Heroin use—“Yes” −0.115 *
Heroin use—“No”
Note. * p < 0.05; ** p < 0.01/MMT = Methadone Maintenance Therapy. PERS-M = Positive Emotion Rating Scale-Malay. WHOQOL-BREF = World Health Organization Quality of Life-Brief Version. Reference group.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ganesh, N.S.; Kaur, M.; Abd Rashid, R.; Parameswaran, R.; Hashim, A.H.; Moey, C.H.; Amit, N.; Siau, C.S.; Ng, C.G. Positive Emotions and Quality of Life among Malaysian Patients on Methadone Maintenance Therapy and Their Psychosocial Correlates. Psychiatry Int. 2024, 5, 360-369. https://doi.org/10.3390/psychiatryint5030025

AMA Style

Ganesh NS, Kaur M, Abd Rashid R, Parameswaran R, Hashim AH, Moey CH, Amit N, Siau CS, Ng CG. Positive Emotions and Quality of Life among Malaysian Patients on Methadone Maintenance Therapy and Their Psychosocial Correlates. Psychiatry International. 2024; 5(3):360-369. https://doi.org/10.3390/psychiatryint5030025

Chicago/Turabian Style

Ganesh, N. Sankari, Manveen Kaur, Rusdi Abd Rashid, R. Parameswaran, Aili Hanim Hashim, Chee Hoong Moey, Noh Amit, Ching Sin Siau, and Chong Guan Ng. 2024. "Positive Emotions and Quality of Life among Malaysian Patients on Methadone Maintenance Therapy and Their Psychosocial Correlates" Psychiatry International 5, no. 3: 360-369. https://doi.org/10.3390/psychiatryint5030025

APA Style

Ganesh, N. S., Kaur, M., Abd Rashid, R., Parameswaran, R., Hashim, A. H., Moey, C. H., Amit, N., Siau, C. S., & Ng, C. G. (2024). Positive Emotions and Quality of Life among Malaysian Patients on Methadone Maintenance Therapy and Their Psychosocial Correlates. Psychiatry International, 5(3), 360-369. https://doi.org/10.3390/psychiatryint5030025

Article Metrics

Back to TopTop