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Nguyen CT, Dam VAT, Nguyen LH, Phung D, Vu TS, Do HP, Vu TMT, Latkin C, Ho RCM, Ho CSH. Factors associated with sleep quality among medical students in Vietnam: a national cross-sectional study. BMJ Open 2025; 15:e083168. [PMID: 40037674 PMCID: PMC11881190 DOI: 10.1136/bmjopen-2023-083168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/17/2025] [Indexed: 03/06/2025] Open
Abstract
OBJECTIVE This study explored factors associated with sleep quality among medical students in Vietnam. DESIGN Cross-sectional study. SETTING The study was conducted from December 2019 to February 2020 among medical students in Vietnam. PARTICIPANTS Medical students were defined as those enrolled in undergraduate medical programmes. 1284 medical students who met the inclusion criteria participated in this study. OUTCOME MEASURES The Pittsburgh Sleep Quality Index (PSQI) was used to measure participants' sleep quality, with a score of 5 or higher indicating poor sleep quality. Multivariable logistic and linear regression models were employed to identify the factors associated with poor sleep quality. RESULTS 36.6% of the study participants had poor sleep quality. There were statistically significant differences in the percentage of poor sleep quality across genders, health-related quality of life, morbidity status and depression (p<0.05). Depression (Coef.=0.54, 95% CI 0.17, 0.91 and OR=1.50, 95% CI 1.13, 1.99) and any morbidity (Coef.=0.64, 95% CI 0.28, 0.99 and OR=1.44, 95% CI 1.09, 1.88) were factors associated with higher PSQI Score and increased risk of poor sleep quality. In contrast, higher health-related quality of life scores (EuroQOL-5 dimensions-5 Levels Index: OR=0.01; 95% CI 0.002, 0.03 and Coef.=-7.11; 95% CI -8.65, -5.56; and EuroQOL-Visual Analogue Scale: OR=0.99; 95% CI 0.98, 1.00 and Coef.=-0.03; 95% CI -0.04, -0.01) were related to lower PSQI Score and reduced risk of poor sleep quality. CONCLUSIONS This study reveals that health conditions and psychological well-being were associated with sleep quality among medical students. Reducing stress, improving quality of life and improving morbidity have the potential to improve the sleep quality of medical students.
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Affiliation(s)
- Cuong Tat Nguyen
- Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam
- Faculty of Medicine, Duy Tan University, Da Nang, Vietnam
| | - Vu Anh Trong Dam
- Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam
- Faculty of Medicine, Duy Tan University, Da Nang, Vietnam
| | - Long Hoang Nguyen
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Dung Phung
- School of Public Health,The University of Queensland, Brisbane, Queensland, Australia
| | - Tung Son Vu
- Institute of Health Economics and Technology, Hanoi, Vietnam
| | - Huyen Phuc Do
- Institute of Health Economics and Technology, Hanoi, Vietnam
| | | | - Carl Latkin
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Roger C M Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore
| | - Cyrus S H Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Bahadori Z, Safaie N, Mirmohammadkhani M. Comparison of psychiatric disorders in addicted patients treated with buprenorphine, methadone, and opium tincture in Iran. MIDDLE EAST CURRENT PSYCHIATRY 2022. [DOI: 10.1186/s43045-022-00224-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The aim of this study was to comparing the complications (depression, anxiety, sleep disorders and sexual dysfunction) of buprenorphine, methadone and opium tincture as an alternative drug treatment in patients referred to the National Center for Addiction Studies of Tehran during 2020–2021. This cross-sectional study was concocted on 197 patients referred to the National Center for Addiction Studies of Tehran who were treated with one of the alternative treatments of opioids buprenorphine (n = 24), methadone (n = 116), and opium tincture (n = 57) during 2020–2021. Three questionnaires were used to assess the side effects of drugs including Anxiety and Depression Hospital Scales (HADS), AIS (Athens insomnia scale) and the International Index of Erectile Function (IIEF). Data were analyzed using Stata 14.0. The multinomial logistic regression model was used in order to compare complications in the three groups and adjusted odds ratio (OR) with 95% confidence interval (CI) were estimated.
Results
The mean age in the buprenorphine, methadone and opium tincture groups were 46.80 ± 9.90, 48.31 ± 13.33 and 55.30 ± 10.34 years, respectively. The numbers of men were 17 (70.80), 90 (77.60), and 50 (78.70); respectively. Multinomial logistic regression model showed OR = 0.73 (95% CI 0.61–0.88) for anxiety in the methadone group in compared to buprenorphine. Likewise, OR = 1.22 (95% CI 1.001–1.48) and OR = 1.34 (95% CI 1.10–1.63) was observed for sleep disorder in the methadone and opium tincture groups in compared to buprenorphine; respectively.
Conclusions
Sleep disturbance in buprenorphine group is less than opium tincture and methadone. Also, anxiety in the methadone group was lower than the buprenorphine, however, there was no significant difference between the three groups in term of sexual function and depression. In addition to control measures for sleep disorders in receiving methadone and buprenorphine, the cohort studies with a higher sample size are recommended.
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Factors Associated with Sleep Disorders among Methadone-Maintained Drug Users in Vietnam. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16224315. [PMID: 31698771 PMCID: PMC6887969 DOI: 10.3390/ijerph16224315] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 10/29/2019] [Accepted: 10/29/2019] [Indexed: 12/18/2022]
Abstract
Sleep quality among heroin-dependent patients receiving methadone maintenance treatment (MMT) is not fully investigated in Vietnam. This study explored the prevalence of poor sleep quality in methadone-maintained patients and associated factors. This cross-sectional included 395 MMT patients at three clinics in Nam Dinh province, Vietnam. The Pittsburgh Sleep Quality Index (PSQI) was employed to measure patients’ sleep quality. Sociodemographic, clinical, behavioral, psychological, and social support characteristics were collected. Multivariate Logistic and Generalized Linear Regression models were applied to identify associated factors. Among 395 patients, 26.6% had poor sleep quality according to the PSQI scale. People having jobs were less likely to have poor sleep quality and lower PSQI scores compared to unemployed patients. Those having spouses had lower PSQI scores than single patients. High depression, anxiety, and stress scores were associated with poor sleep quality and high PSQI scores. A longer duration of MMT increased the likelihood of experiencing poor sleep quality. Patients smoking tobacco daily or concurrently using drugs had lower PSQI scores than those that did not. This study highlights a moderate prevalence of poor sleep quality among Vietnamese MMT patients. Regular evaluation, appropriate psychological management, and social support, as well as the provision of employment opportunities, potentially improve the sleep quality of methadone-maintained patients.
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Zhang HS, Xu YM, Zhu JH, Zhong BL. Poor sleep quality is significantly associated with low sexual satisfaction in Chinese methadone-maintained patients. Medicine (Baltimore) 2017; 96:e8214. [PMID: 28953686 PMCID: PMC5626329 DOI: 10.1097/md.0000000000008214] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 08/06/2017] [Accepted: 08/25/2017] [Indexed: 12/19/2022] Open
Abstract
Sleep disturbance negatively affects sexual function. Sleep problem and sexual dysfunction are common in methadone-maintained patients; however, their association is understudied in this patient population.This study examined the association between sleep quality and sexual satisfaction in Chinese patients receiving methadone maintenance treatment (MMT).This was a cross-sectional study. A total of 480 MMT patients who had sex with their sex partners within 1 month before the survey were recruited from 3 MMT clinics in Wuhan, China. Sexual satisfaction was assessed with a single question, and sociodemographic and clinical data were collected with a standardized questionnaire. Sleep quality was assessed with the Pittsburgh Sleep Quality Index. Multiple ordinary logistic regression was used to control for potential confounders that may bias the sleep-sexual satisfaction relationship.Sexual satisfaction scores were significantly higher in poor sleepers than normal sleepers (3.2 ± 0.9 vs. 2.8 ± 1.0, t = 4.297, P < .001). After controlling for potential confounders, results of the multiple regression analysis reveal that poor sleep quality was still significantly and independently associated with low sexual satisfaction (odd ratio = 1.58, P = .009).Poor sleep quality is significantly associated with low sexual satisfaction of methadone-maintained patients. Improving sleep quality might improve sexual satisfaction of patients receiving MMT.
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Selim BJ, Surani SR, Ramar K. Role of preoperative screening for adult patients for obstructive sleep apnea. Hosp Pract (1995) 2014; 42:100-107. [PMID: 25485922 DOI: 10.3810/hp.2014.12.1163] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Obstructive sleep apnea (OSA) is a chronic disease with increasing prevalence. Underdiagnosed in the surgical population, OSA can reach a prevalence of up to 70% in bariatric surgery, and be associated with difficult airways and postoperative cardiopulmonary adverse events. Despite its association with escalation of care, increased health care resource utilization, and length of hospital stay, < 25% of health care institutions in the United States have OSA perioperative protocols to improve patient safety. This is explained in part by a lack of studies that support a widely accepted systematic approach to preoperative screening and risk stratification. This review evaluates the role of preoperative screening tools for adult patients with suspected OSA.
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Affiliation(s)
- Bernardo J Selim
- Assistant Professor in Medicine, Mayo Clinic Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic, MN
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Vandrey R, Babson KA, Herrmann ES, Bonn-Miller MO. Interactions between disordered sleep, post-traumatic stress disorder, and substance use disorders. Int Rev Psychiatry 2014; 26:237-47. [PMID: 24892898 PMCID: PMC4052373 DOI: 10.3109/09540261.2014.901300] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Disordered sleep is associated with a number of adverse health consequences and is an integral component of many psychiatric disorders. Rates of substance use disorders (SUDs) are markedly higher among individuals with post-traumatic stress disorder (PTSD), and this relationship may be partly mediated by disturbed sleep. Sleep disturbances (e.g. insomnia, daytime sleepiness, vivid nightmares) are hallmark features of PTSD and there is evidence that individuals with PTSD engage in substance use as a means of coping with these symptoms. However, prolonged substance use can lead to more severe sleep disturbances due to the development of tolerance and withdrawal. Behavioural or pharmacological treatment of disordered sleep is associated with improved daytime symptoms and psychosocial functioning among individuals who have developed PTSD. Initial research also suggests that improving sleep could be similarly beneficial in reducing coping oriented substance use and preventing relapse among those seeking treatment for SUDs. Together, these findings suggest that ameliorating sleep disturbance among at-risk individuals would be a viable target for the prevention and treatment of PTSD and associated SUDs, but prospective research is needed to examine this hypothesis. Enhanced understanding of the interrelation between sleep, PTSD, and SUDs may yield novel prevention and intervention approaches for these costly, prevalent and frequently co-occurring disorders.
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Affiliation(s)
- Ryan Vandrey
- Johns Hopkins University School of Medicine, University of Pennsylvania
| | - Kimberly A. Babson
- Center for Innovation to Implementation, VA Palo Alto Health Care System, University of Pennsylvania
- Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine, University of Pennsylvania
| | - Evan S. Herrmann
- Johns Hopkins University School of Medicine, University of Pennsylvania
| | - Marcel O. Bonn-Miller
- Center for Innovation to Implementation, VA Palo Alto Health Care System, University of Pennsylvania
- Center of Excellence in Substance Abuse Treatment and Education, Philadelphia VAMC; Department of Psychiatry, University of Pennsylvania
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Karp JF, Lee CW, McGovern J, Stoehr G, Chang CCH, Ganguli M. Clinical and demographic covariates of chronic opioid and non-opioid analgesic use in rural-dwelling older adults: the MoVIES project. Int Psychogeriatr 2013; 25:1801-10. [PMID: 23883528 PMCID: PMC4020176 DOI: 10.1017/s104161021300121x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND To describe covariates and patterns of late-life analgesic use in the rural, population-based MoVIES cohort from 1989 to 2002. METHODS Secondary analysis of epidemiologic survey of elderly people conducted over six biennial assessment waves. Potential covariates of analgesic use included age, gender, depression, sleep, arthritis, smoking, alcohol, and general health status. Of the original cohort of 1,681, this sample comprised 1,109 individuals with complete data on all assessments. Using trajectory analysis, participants were characterized as chronic or non-chronic users of opioid and non-opioid analgesics. Multivariable regression was used to model predictors of chronic analgesic use. RESULTS The cohort was followed for mean (SD) 7.3 (2.7) years. Chronic use of opioid analgesics was reported by 7.2%, while non-opioid use was reported by 46.1%. In the multivariable model, predictors of chronic use of both opioid and non-opioid analgesics included female sex, taking ≥2 prescription medications, and "arthritis" diagnoses. Chronic opioid use was also associated with age 75-84 years; chronic non-opioid use was also associated with sleep continuity disturbance. CONCLUSIONS These epidemiological data confirm clinical observations and generate hypotheses for further testing. Future studies should investigate whether addressing sleep problems might lead to decreased use of non-opioid analgesics and possibly enhanced pain management.
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Affiliation(s)
- Jordan F. Karp
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ching-Wen Lee
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jonathan McGovern
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Gary Stoehr
- School of Pharmacy, D’Youville College, Buffalo, NY, USA
| | - Chung-Chou H. Chang
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary Ganguli
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
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