Displaying publications 1 - 20 of 53 in total

Abstract:
Sort:
  1. Yildirim O, Baloglu UB, Acharya UR
    PMID: 30791379 DOI: 10.3390/ijerph16040599
    Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG) signals obtained in a laboratory environment. However, the automated monitoring of sleep stages can help detect neurological disorders accurately as well. In this study, a flexible deep learning model is proposed using raw PSG signals. A one-dimensional convolutional neural network (1D-CNN) is developed using electroencephalogram (EEG) and electrooculogram (EOG) signals for the classification of sleep stages. The performance of the system is evaluated using two public databases (sleep-edf and sleep-edfx). The developed model yielded the highest accuracies of 98.06%, 94.64%, 92.36%, 91.22%, and 91.00% for two to six sleep classes, respectively, using the sleep-edf database. Further, the proposed model obtained the highest accuracies of 97.62%, 94.34%, 92.33%, 90.98%, and 89.54%, respectively for the same two to six sleep classes using the sleep-edfx dataset. The developed deep learning model is ready for clinical usage, and can be tested with big PSG data.
    Matched MeSH terms: Sleep Wake Disorders/physiopathology*
  2. Mousavi S, Afghah F, Acharya UR
    PLoS One, 2019;14(5):e0216456.
    PMID: 31063501 DOI: 10.1371/journal.pone.0216456
    Electroencephalogram (EEG) is a common base signal used to monitor brain activities and diagnose sleep disorders. Manual sleep stage scoring is a time-consuming task for sleep experts and is limited by inter-rater reliability. In this paper, we propose an automatic sleep stage annotation method called SleepEEGNet using a single-channel EEG signal. The SleepEEGNet is composed of deep convolutional neural networks (CNNs) to extract time-invariant features, frequency information, and a sequence to sequence model to capture the complex and long short-term context dependencies between sleep epochs and scores. In addition, to reduce the effect of the class imbalance problem presented in the available sleep datasets, we applied novel loss functions to have an equal misclassified error for each sleep stage while training the network. We evaluated the performance of the proposed method on different single-EEG channels (i.e., Fpz-Cz and Pz-Oz EEG channels) from the Physionet Sleep-EDF datasets published in 2013 and 2018. The evaluation results demonstrate that the proposed method achieved the best annotation performance compared to current literature, with an overall accuracy of 84.26%, a macro F1-score of 79.66% and κ = 0.79. Our developed model can be applied to other sleep EEG signals and aid the sleep specialists to arrive at an accurate diagnosis. The source code is available at https://github.com/SajadMo/SleepEEGNet.
    Matched MeSH terms: Sleep Wake Disorders/physiopathology*
  3. Bhat S, Acharya UR, Hagiwara Y, Dadmehr N, Adeli H
    Comput Biol Med, 2018 11 01;102:234-241.
    PMID: 30253869 DOI: 10.1016/j.compbiomed.2018.09.008
    Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system caused due to the loss of dopaminergic neurons. It is classified under movement disorder as patients with PD present with tremor, rigidity, postural changes, and a decrease in spontaneous movements. Comorbidities including anxiety, depression, fatigue, and sleep disorders are observed prior to the diagnosis of PD. Gene mutations, exposure to toxic substances, and aging are considered as the causative factors of PD even though its genesis is unknown. This paper reviews PD etiologies, progression, and in particular measurable indicators of PD such as neuroimaging and electrophysiology modalities. In addition to gene therapy, neuroprotective, pharmacological, and neural transplantation treatments, researchers are actively aiming at identifying biological markers of PD with the goal of early diagnosis. Neuroimaging modalities used together with advanced machine learning techniques offer a promising path for the early detection and intervention in PD patients.
    Matched MeSH terms: Sleep Wake Disorders
  4. Al Maghaireh DF, Abdullah KL, Chong MC, Chua YP, Al Kawafha MM
    J Pediatr Nurs, 2017 06 19;36:132-140.
    PMID: 28888494 DOI: 10.1016/j.pedn.2017.06.007
    PURPOSE: To investigate the stressors and stress levels among Jordanian parents of infants in the NICU and their relationship to three factors: anxiety, depression and sleep disturbance.

    DESIGN AND METHODS: A cross-sectional survey was conducted in two hospitals in Jordan among 310 parents of infants in the NICU by using PSS: NICU and PROMIS.

    RESULTS: Both parents experienced high levels of stress, anxiety, depression and sleep disturbance. There was a significant difference in stress level between mothers and fathers [t (308)=3.471, p=0.001], with the mothers experiencing higher stress than the fathers [mean: mothers=108.58; fathers=101.68]. The highest and lowest sources of stress were infant behavior and appearance (M=4.09) and sights and sounds in the NICU (M=3.54), respectively. The correlation between stress levels with anxiety (r=0.79) and depression (r=0.75) was strong and positive while sleep disturbance was significant and moderate (r=0.43).

    CONCLUSIONS: The mothers experienced higher levels of stress compared to fathers, with positive correlations between stress and anxiety, depression and sleep disturbance.

    PRACTICAL IMPLICATIONS: The findings of this study create nursing awareness of parent stress and its impact, which will help them to improve nursing care for parents.

    Matched MeSH terms: Sleep Wake Disorders/etiology; Sleep Wake Disorders/epidemiology*
  5. Ariff KM
    Med J Malaysia, 2001 Sep;56(3):386-94.
    PMID: 11732089
    Matched MeSH terms: Sleep Wake Disorders/complications
  6. Aazami S, Shamsuddin K, Akmal S, Azami G
    Malays J Med Sci, 2015 Jul-Aug;22(4):40-6.
    PMID: 26715907 MyJurnal
    The workplace environment has a great influence on employees' health. Job dissatisfaction has been widely recognised as a workplace stressor that can influence employees' psychological and physical health statuses. However, job satisfaction is a multi-dimensional concept, and it is necessary to investigate its different facets and their unique consequences. Therefore, the aim of this study was to assess the relationship between the nine facets of job satisfaction and psychological health and somatic complaints (i.e., sleep disorders, headache, gastro-intestinal and respiratory problems).
    Matched MeSH terms: Sleep Wake Disorders
  7. Leow M.Y., Russell V., Bharathy A.
    MyJurnal
    Objective: A case of caffeine-induced sleep disorder is reported to illustrate the clinical benefits of assessing culturally determined health beliefs in such presentations. Method: A middle-aged Malaysian Chinese male presented with caffeine-induced sleep disturbance arising from dietary modifications. Result: Assessing the contribution of cultural beliefs regarding hot and cold drinks led to successful management of the patient’s sleep disturbance. Conclusion: It is important for clinicians to explore health beliefs and associated dietary and lifestyle behaviours in caffeine-related sleep disorders.
    Matched MeSH terms: Sleep Wake Disorders
  8. Srinivasan V, Pandi-Perumal SR, Trakht I, Spence DW, Hardeland R, Poeggeler B, et al.
    Psychiatry Res, 2009 Feb 28;165(3):201-14.
    PMID: 19181389 DOI: 10.1016/j.psychres.2007.11.020
    Profound disturbances in sleep architecture occur in major depressive disorders (MDD) and in bipolar affective disorders. Reduction in slow wave sleep, decreased latency of rapid eye movement (REM) sleep and abnormalities in the timing of REM/non-REM sleep cycles have all been documented in patients with MDD. It is thus evident that an understanding of the basic mechanisms of sleep regulation is essential for an analysis of the pathophysiology of depressive disorders. The suprachiasmatic nucleus (SCN), which functions as the body's master circadian clock, plays a major role in the regulation of the sleep/wakefulness rhythm and interacts actively with the homeostatic processes that regulate sleep. The control of melatonin secretion by the SCN, the occurrence of high concentrations of melatonin receptors in the SCN, and the suppression of electrical activity in the SCN by melatonin all underscore the major influence which this neurohormone has in regulating the sleep/wake cycle. The transition from wakefulness to high sleep propensity is associated with the nocturnal rise of endogenous melatonin secretion. Various lines of evidence show that depressed patients exhibit disturbances in both the amplitude and shape of the melatonin secretion rhythm and that melatonin can improve the quality of sleep in these patients. The choice of a suitable antidepressant that improves sleep quality is thus important while treating a depressive disorder. The novel antidepressant agomelatine, which combines the properties of a 5-HT(2C) antagonist and a melatonergic MT(1)/MT(2) receptor agonist, has been found very effective for resetting the disturbed sleep/wake cycle and in improving the clinical status of MDD. Agomelatine has also been found useful in treating sleep problems and improving the clinical status of patients suffering from seasonal affective disorder.
    Matched MeSH terms: Sleep Wake Disorders/metabolism*; Sleep Wake Disorders/epidemiology*
  9. Asha'ari ZA, Yusof S, Ismail R, Che Hussin CM
    Ann Acad Med Singap, 2010 Aug;39(8):619-24.
    PMID: 20838703
    INTRODUCTION: Allergic rhinitis (AR) is a prevalent disease worldwide but is still underdiagnosed in many parts of Asia. We studied the clinical profiles of AR patients in our community based on the new ARIA classification and investigated the aetiological allergens using a skin prick test.

    MATERIALS AND METHODS: In 2008, 142 newly diagnosed patients with AR were seen and underwent skin prick testing with 90 patients completing the study.

    RESULTS: Intermittent mild and moderate/severe AR were evident in 10% and 21.1% of the patients, while persistent mild and moderate/severe were seen in 20% and 48.9%, respectively. Rhinitis and asthma co-morbidity occurred in 28.8% with asthma incidence significantly higher in persistent AR (P = 0.002). There was no significant association between AR severity, city living and asthma co-morbidity. Nasal itchiness and sneezing were the main presenting complaints and were more common in intermittent AR (P <0.05). Sleep disturbance was associated with moderate-severe AR (P <0.05). Polypoidal mucosa was associated with asthma co-morbidity (P <0.05). Monosensitivity reaction occurred in 12.2% of patients and was associated with fungi sensitivity (P <0.05). Majority of patients were oligosensitive (52.8%) and polysensitive (34.4%) and were significantly associated with moderate-severe persistent AR (P <0.01). The highest positive skin prick reaction and the largest average wheal diameter were for the house dust mites and cat allergen (P <0.05).

    CONCLUSION: Our results reflected the AR profiles in our country, which was comparable with typical profiles of the neighbouring country and other Mediterranean countries with a similar temperate climate.

    Matched MeSH terms: Sleep Wake Disorders
  10. Chen PC
    Ann Acad Med Singap, 1987 Jan;16(1):110-4.
    PMID: 3592576
    Consequent to rapidly declining mortality and birth rates, developing countries, including Malaysia, can expect a rapid increase in the population aged 60 years and above. The health of the elderly is intimately tied up with both biophysical as well as psychosocial factors which include status loss, loneliness, fear of illness and death, poverty, harmful life-styles and deterioration of the quality of life. The effects of these psychosocial factors can manifest as sleep difficulties, worry and anxiety, depression, loss of interest, and a feeling of tiredness. In extreme cases, there may be auditory or visual hallucinations or paranoia. In the present paper, which is based upon a WHO sponsored study of 1001 elderly Malaysians, it is noted that 36% of the elderly have sleep difficulties, 47% "feel tired", 31% have a "loss of interest" and 22% are "worried tense". However 71% of the elderly are able to correctly perform at least 12 of 15 cognitive tests. 20% of elderly men smoke 15 or more cigarettes a day while 44% smoke at least one cigarette a day. 40% of elderly men indicate that their families complain about the amount of alcohol they drink. Undoubtedly primary health care programmes need to be re-oriented to the problems and needs of the elderly in countries such as Malaysia.
    Matched MeSH terms: Sleep Wake Disorders/psychology
  11. Lee SWH, Ng KY, Chin WK
    Sleep Med Rev, 2017 02;31:91-101.
    PMID: 26944909 DOI: 10.1016/j.smrv.2016.02.001
    Recent epidemiological studies have suggested that there is an association between glycemic control and sleep disturbances in patients with type 2 diabetes, but the extent is unclear. A systematic literature search was performed in nine electronic databases from inception until August 2015 without any language restriction. The search identified 20 studies (eight studies reporting duration of sleep and 15 studies evaluating sleep quality), and 15 were included in the meta-analysis. Short and long sleep durations were associated with an increased hemoglobin A1c (HbA1c) (weighted mean difference (WMD): 0.23% [0.10-0.36], short sleep; WMD: 0.13% [0.02-0.25], long sleep) compared to normal sleep, suggesting a U-shaped dose-response relationship. Similarly, poor sleep quality was associated with an increased HbA1c (WMD: 0.35% [0.12-0.58]). Results of this study suggest that amount of sleep as well as quality of sleep is important in the metabolic function of type 2 diabetes patients. Further studies are needed to identify for the potential causal role between sleep and altered glucose metabolism.
    Matched MeSH terms: Sleep Wake Disorders/complications*
  12. Len Xen Mei, ThavamalarParamasivam, Ng Siow Fam, Lim Pek Hong, Fong Ka Ling, Mohammed Abdul Razzaq Jabbar, et al.
    MyJurnal
    Introduction: Studies found that low sleep quality (SQ) is associated with many factors such as health, quality of life (QOL), work or academic performance and co-curriculum activities. Hence, improvement to maintain SQ to en- hance students’ QOL is important. Approximately 43% of Malaysian were unaware of their sleep problem and how it affects their physical and mental health, especially among the younger generation. The study aims to investigate the association between SQ and QOL among undergraduate students in UTAR Sungai Long Campus. Method: A cross-sectional study among 256 undergraduate students recruited by purposive sampling was conducted. The Pitts- burgh Sleep Quality Index (PSQI) and the World Health Organization Quality of Life Instruments (WHOQOL-BREF) were administered to evaluate SQ and QOL, respectively. Self-reported demographic data were collected with a structured sociodemographic profile. Associations were evaluated using Spearman’s correlation coefficient, Chi- square test and independence t-test. The level of significance was p< 0.05. Result: Results showed more than one half of students had poor SQ (F=137, 53.5%) and poor QOL (F= 159, 62.1%). All seven PSQI components were significantly associated with at least one QOL domain. Sleep disturbances, sleep latency and daytime dysfunction were correlated with all four QOL domains which are physical health, psychological, social relationships, and envi- ronment. Among the sociodemographic variables, only time travelled from place of stay to campus was associated to SQ (p = 0.04). However, there was no significant association between SQ and the selected sociodemographic vari- ables such as gender, working part-time job, and travel distance from place of stay to campus. Conclusion: Overall, the results from this study showed one half of students suffered from poor SQ and QOL. SQ among undergraduate students is vital in developing good QOL.
    Matched MeSH terms: Sleep Wake Disorders
  13. Giussani G, Westenberg E, Garcia-Azorin D, Bianchi E, Yusof Khan AHK, Allegri RF, et al.
    Neuroepidemiology, 2024;58(2):120-133.
    PMID: 38272015 DOI: 10.1159/000536352
    INTRODUCTION: The aim of this systematic review and meta-analysis was to evaluate the prevalence of thirteen neurological manifestations in people affected by COVID-19 during the acute phase and at 3, 6, 9 and 12-month follow-up time points.

    METHODS: The study protocol was registered with PROSPERO (CRD42022325505). MEDLINE (PubMed), Embase, and the Cochrane Library were used as information sources. Eligible studies included original articles of cohort studies, case-control studies, cross-sectional studies, and case series with ≥5 subjects that reported the prevalence and type of neurological manifestations, with a minimum follow-up of 3 months after the acute phase of COVID-19 disease. Two independent reviewers screened studies from January 1, 2020, to June 16, 2022. The following manifestations were assessed: neuromuscular disorders, encephalopathy/altered mental status/delirium, movement disorders, dysautonomia, cerebrovascular disorders, cognitive impairment/dementia, sleep disorders, seizures, syncope/transient loss of consciousness, fatigue, gait disturbances, anosmia/hyposmia, and headache. The pooled prevalence and their 95% confidence intervals were calculated at the six pre-specified times.

    RESULTS: 126 of 6,565 screened studies fulfilled the eligibility criteria, accounting for 1,542,300 subjects with COVID-19 disease. Of these, four studies only reported data on neurological conditions other than the 13 selected. The neurological disorders with the highest pooled prevalence estimates (per 100 subjects) during the acute phase of COVID-19 were anosmia/hyposmia, fatigue, headache, encephalopathy, cognitive impairment, and cerebrovascular disease. At 3-month follow-up, the pooled prevalence of fatigue, cognitive impairment, and sleep disorders was still 20% and higher. At six- and 9-month follow-up, there was a tendency for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia, and headache to further increase in prevalence. At 12-month follow-up, prevalence estimates decreased but remained high for some disorders, such as fatigue and anosmia/hyposmia. Other neurological disorders had a more fluctuating occurrence.

    DISCUSSION: Neurological manifestations were prevalent during the acute phase of COVID-19 and over the 1-year follow-up period, with the highest overall prevalence estimates for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia, and headache. There was a downward trend over time, suggesting that neurological manifestations in the early post-COVID-19 phase may be long-lasting but not permanent. However, especially for the 12-month follow-up time point, more robust data are needed to confirm this trend.

    Matched MeSH terms: Sleep Wake Disorders*
  14. Mindell JA, Sadeh A, Kwon R, Goh DY
    Sleep Med, 2013 Dec;14(12):1283-9.
    PMID: 24269649 DOI: 10.1016/j.sleep.2013.09.002
    The aim of our study was to characterize cross-cultural sleep patterns and sleep problems in a large sample of preschool children ages 3-6years in multiple predominantly Asian (P-A) and predominantly Caucasian (P-C) countries/regions.
    Matched MeSH terms: Sleep Wake Disorders/ethnology*
  15. Mindell JA, Bartle A, Wahab NA, Ahn Y, Ramamurthy MB, Huong HT, et al.
    Sleep Med, 2011 Oct;12(9):928-31.
    PMID: 21924951 DOI: 10.1016/j.sleep.2011.07.001
    The objective of this study was to assess the prevalence of education about sleep and sleep disorders in medical school education and to identify barriers to providing such education.
    Matched MeSH terms: Sleep Wake Disorders/ethnology; Sleep Wake Disorders/therapy*
  16. Mindell JA, Sadeh A, Wiegand B, How TH, Goh DY
    Sleep Med, 2010 Mar;11(3):274-80.
    PMID: 20138578 DOI: 10.1016/j.sleep.2009.04.012
    BACKGROUND:
    To characterize cross-cultural sleep patterns and sleep problems in a large sample of children ages birth to 36 months in multiple predominantly-Asian (P-A) and predominantly-Caucasian (P-C) countries.

    METHODS:
    Parents of 29,287 infants and toddlers (predominantly-Asian countries/regions: China, Hong Kong, India, Indonesia, Korea, Japan, Malaysia, Philippines, Singapore, Taiwan, Thailand, Vietnam; predominantly-Caucasian countries: Australia, Canada, New Zealand, United Kingdom, United States) completed an internet-based expanded version of the Brief Infant Sleep Questionnaire.

    RESULTS:
    Overall, children from P-A countries had significantly later bedtimes, shorter total sleep times, increased parental perception of sleep problems, and were more likely to both bed-share and room-share than children from P-C countries, psleep time from 11.6 (Japan) to 13.3 (New Zealand) hours, psleep. Bed-sharing with parents ranged from 5.8% in New Zealand to 83.2% in Vietnam. There was also a wide range in the percentage of parents who perceived that their child had a sleep problem (11% in Thailand to 76% in China).

    CONCLUSIONS:
    Overall, children from predominantly-Asian countries had significantly later bedtimes, shorter total sleep times, increased parental perception of sleep problems, and were more likely to room-share than children from predominantly-Caucasian countries/regions. These results indicate substantial differences in sleep patterns in young children across culturally diverse countries/regions. Further studies are needed to understand the basis for and impact of these interesting differences.
    Matched MeSH terms: Sleep Wake Disorders/ethnology
  17. Singh D, Narayanan S, Vicknasingam BK, Prozialeck WC, Ramanathan S, Zainal H, et al.
    J Psychoactive Drugs, 2018 03 20;50(3):266-274.
    PMID: 29558272 DOI: 10.1080/02791072.2018.1443234
    Kratom (Mitragyna speciosa Korth.) is traditionally used in Southeast Asia for its medicinal value and psychoactive properties. Nonetheless, cessation from regular kratom use is reported to cause unpleasant dose-dependent withdrawal symptoms. This study aims to evaluate the severity of pain and sleep problems following the cessation of kratom tea/juice consumption among regular kratom users. A total of 170 regular users were recruited through snowball sampling for this cross-sectional study. The Brief Pain Inventory (BPI) and Pittsburgh Sleep Quality Index (PSQI) scales were administered to assess the severity of pain and sleep problems. Most participants experienced moderate pain intensity (84%) and moderate pain interference (70%) during kratom cessation; 46% experienced more sleep problems during kratom cessation. Individuals who consumed ≥4 glasses of kratom tea/juice (about 76-115 mg of mitragynine) daily had higher odds of reporting some pain interference (OR: 2.0; CI: 1.04-3.93: p sleep problems during kratom cessation (OR: 2.0; CI: 1.08-3.68: p sleep problems, as compared to those reported for opioid analgesics.
    Matched MeSH terms: Sleep Wake Disorders/epidemiology
  18. Nowyannie Willie D. Tamsin, Norah Tuah, Mazalan Sarahintu, Herniza Roxanne Marcus
    Borneo Akademika, 2019;3(1):20-29.
    MyJurnal
    University students are known to have different sleeping schedules. Students’ sleep difficulties will affect their health and their performances in studies. Sleep hygiene is a collection of healthy sleep habits that can improve one’s ability to fall asleep and stay asleep. It is considered to be imperative to treat sleep disturbance especially among university students. The aim of this study is to examine the sleep beliefs among the students of UiTM Sabah based on gender and academic performance. This study was conducted on Diploma students between March and July 2018. The respondents were randomly selected from Diploma students of all faculties in UiTM Sabah: Accounting, Business Management, Public Administration, Science, Planting Industry Management, Hotel Management, and Tourism Management. This paper is based on the Sleep Belief Scale questionnaire to assess the sleep hygiene awareness. Questionnaires were distributed using online survey. Findings of this study were analyzed using SPSS statistical software. The result of findings showed that the Sleep Incompatible Behaviours (drinking coffee, taking sleep medication, smoking before sleep) is the highest contributor of the students’ sleep hygiene and therefore it affects the sleep quality. While the Sleep Wake Cycle Behaviours (going to bed & waking up always at the same hour, going to bed two hours earlier than the habitual hour) and Thoughts and Attitude to Sleep (over thinking before sleep, trying to fall asleep without having a sleep sensation)also contributed to the sleep hygiene of the students but not as high as the Sleep Incompatible Behaviours. Based on the results of the findings, the counseling department of UiTM Sabah may organise an education program to create awareness among students about the intervention and prevention strategies as well as the incorrect beliefs about sleep.
    Matched MeSH terms: Sleep Wake Disorders
  19. Salari N, Khazaie H, Hosseinian-Far A, Ghasemi H, Mohammadi M, Shohaimi S, et al.
    Global Health, 2020 09 29;16(1):92.
    PMID: 32993696 DOI: 10.1186/s12992-020-00620-0
    BACKGROUND: In all epidemics, healthcare staff are at the centre of risks and damages caused by pathogens. Today, nurses and physicians are faced with unprecedented work pressures in the face of the COVID-19 pandemic, resulting in several psychological disorders such as stress, anxiety and sleep disturbances. The aim of this study is to investigate the prevalence of sleep disturbances in hospital nurses and physicians facing the COVID-19 patients.

    METHOD: A systematic review and metanalysis was conducted in accordance with the PRISMA criteria. The PubMed, Scopus, Science direct, Web of science, CINHAL, Medline, and Google Scholar databases were searched with no lower time-limt and until 24 June 2020. The heterogeneity of the studies was measured using I2 test and the publication bias was assessed by the Egger's test at the significance level of 0.05.

    RESULTS: The I2 test was used to evaluate the heterogeneity of the selected studies, based on the results of I2 test, the prevalence of sleep disturbances in nurses and physicians is I2: 97.4% and I2: 97.3% respectively. After following the systematic review processes, 7 cross-sectional studies were selected for meta-analysis. Six studies with the sample size of 3745 nurses were examined in and the prevalence of sleep disturbances was approximated to be 34.8% (95% CI: 24.8-46.4%). The prevalence of sleep disturbances in physicians was also measured in 5 studies with the sample size of 2123 physicians. According to the results, the prevalence of sleep disturbances in physicians caring for the COVID-19 patients was reported to be 41.6% (95% CI: 27.7-57%).

    CONCLUSION: Healthcare workers, as the front line of the fight against COVID-19, are more vulnerable to the harmful effects of this disease than other groups in society. Increasing workplace stress increases sleep disturbances in the medical staff, especially nurses and physicians. In other words, increased stress due to the exposure to COVID-19 increases the prevalence of sleep disturbances in nurses and physicians. Therefore, it is important for health policymakers to provide solutions and interventions to reduce the workplace stress and pressures on medical staff.

    Matched MeSH terms: Sleep Wake Disorders/epidemiology*
  20. Prodhan AHMSU, Cavestro C, Kamal MA, Islam MA
    CNS Neurol Disord Drug Targets, 2021;20(8):736-754.
    PMID: 34348635 DOI: 10.2174/1871527320666210804155617
    Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by sleep, behavioral, memory, and cognitive deteriorations. Sleep disturbance (SD) is a major disease burden in AD, which has a reciprocal relationship with AD pathophysiology. It aggravates memory, behavioral, and cognitive complications in AD. Different studies have found that melatonin hormone levels reduce even in the pre-clinical stages of AD. Melatonin is the primary sleep-regulating hormone and a potent antioxidant with neuroprotective roles. The decrease in melatonin levels can thus promote SD and AD neuropathology. Exogenous melatonin has the potential to alleviate neuropathology and SD in AD by different mechanisms. Various studies have been conducted to assess the efficacy of exogenous melatonin to treat SD in AD. Though most of the studies suggest that melatonin is useful to ameliorate SD in AD, the remaining studies show opposite results. The timing, dosage, and duration of melatonin administration along with disease condition, genetic, environmental, and some other factors can be responsible for the discrepancies between the studies. More extensive trials with longer durations and higher dosage forms and studies including bright light therapy and melatonin agonists (ramelteon, agomelatine, and tasimelteon) should be performed to determine the efficacy of melatonin to treat SD in AD.
    Matched MeSH terms: Sleep Wake Disorders/drug therapy*
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links