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Does providing feedback and guidance on sleep perceptions using sleep wearables improve insomnia? Findings from "Novel Insomnia Treatment Experiment": a randomized controlled trial.
Spina, MA, Andrillon, T, Quin, N, Wiley, JF, Rajaratnam, SMW, Bei, B
Sleep. 2023;46(9)
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Insomnia involves difficulties with initiating sleep, maintaining sleep and early morning awakenings. Sleep–wake state discrepancy is a common phenomenon observed in 9%–50% of individuals with insomnia. In fact, sleep–wake state discrepancy is important to explore as it is linked to daytime functioning, self-reported happiness, social support and self-reported sleep. The primary aim of this study was to examine whether providing individuals with insomnia feedback about sleep using wearable devices, along with support for appropriate interpretation of sleep–wake state discrepancy, improves symptoms of insomnia as the primary outcome. This study was a two-arm, parallel-group, single-blind, superiority randomised controlled trial. Eligible participants were randomised 1:1 to intervention or control groups. Results showed that the intervention group had lower insomnia symptom severity and sleep disturbance and lower rates of insomnia disorder. However, the two groups did not meaningfully differ on all other secondary and exploratory outcomes at post-intervention. Authors conclude that addressing sleep–wake state discrepancy by providing education and guidance on wearable measured sleep data could reduce symptoms of insomnia. Additionally, future studies need to examine how sleep–wake state discrepancy guidance using wearable devices could supplement cognitive behavioural therapy for insomnia (CBT-I), and whether this addition could enhance the benefits of CBT-I.
Abstract
STUDY OBJECTIVES Insomnia is a disorder diagnosed based on self-reported sleep complaints. Differences between self-reported and sensor-based sleep parameters (sleep-wake state discrepancy) are common but not well-understood in individuals with insomnia. This two-arm, parallel-group, single-blind, superiority randomized-controlled trial examined whether monitoring sleep using wearable devices and providing support for interpretation of sensor-based sleep data improved insomnia symptoms or impacted sleep-wake state discrepancy. METHODS A total of 113 (age M = 47.53; SD = 14.37, 64.9% female) individuals with significant insomnia symptoms (Insomnia Severity Index(ISI) ≥10) from the community were randomized 1:1 (permuted block randomization) to receive 5 weeks (1) Intervention (n = 57): feedback about sensor-based sleep (Fitbit and EEG headband) with guidance for data interpretation and ongoing monitoring, and (2) Control (n = 56): sleep education and hygiene. Both groups received one individual session and two check-in calls. The ISI (primary outcome), sleep disturbance (SDis), sleep-related impairment (SRI), depression, and anxiety were assessed at baseline and post-intervention. RESULTS In total, 103 (91.2%) participants completed the study. Intention-to-treat multiple regression with multiple imputations showed that after controlling for baseline values, compared to the Control group (n = 51), the Intervention group (n = 52) had lower ISI (p = .011, d = 0.51) and SDis (p = .036, d = 0.42) post-intervention, but differences in SRI, depression, anxiety, and sleep-wake state discrepancy parameters (total sleep time, sleep onset latency, and wake after sleep onset) were not meaningful (P-values >.40). CONCLUSIONS Providing feedback and guidance about sensor-based sleep parameters reduced insomnia severity and sleep disturbance but did not alter sleep-wake state discrepancy in individuals with insomnia more than sleep hygiene and education. The role of sleep wearable devices among individuals with insomnia requires further research. CLINICAL TRIAL REGISTRATION The Novel Insomnia Treatment Experiment (NITE): the effectiveness of incorporating appropriate guidance for sleep wearables in users with insomnia. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378452, Australia New Zealand Clinical Trials Registry: ACTRN12619001636145.
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Effect of Docosahexaenoic Acid and Eicosapentaenoic Acid Supplementation on Sleep Quality in Healthy Subjects: A Randomized, Double-Blinded, Placebo-Controlled Trial.
Yokoi-Shimizu, K, Yanagimoto, K, Hayamizu, K
Nutrients. 2022;14(19)
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Docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) are unsaturated Omega-3 fatty acids, primarily found in fish and seafood. The fatty acids fulfil many vital roles in the body, such as creating cell membranes, supporting brain functions and being associated with many disease-protective benefits. These fatty acids also influence sleep in children and young adults, but less is known about their effect in older people. Hence, this Japanese study investigated the impact of EPA and DHA on sleep quality in people above the age of ≥ 45. 66 males and females with poor sleep participated in this randomized, placebo-controlled, double-blinded, parallel-grouped study. They either received 860 mg of combined DHA/EPA per day (576 mg DHA/284 mg EPA) or a placebo of corn oil for 12 weeks. The outcome was assessed subjectively via sleep quality and mood questionnaires, as well as objectively with a sleep scanner and blood samples. Blood samples and blood pressure where also monitored as a safety measure. Upon completion of the study there was a subjective improvement, which was backed-up by the results of the sleep scanner. This study confirmed that DHA/EPA improves sleep quality in the middle aged and older population and does so at doses lower than those administered in previous studies. The authors had set the daily minimum intake of DHA/EPA at 860 mg/day for this trial, as previous research showed no effects at lower doses. They also noted that poor responders tended to be people with pre-existing conditions or those who were pregnant. This population may require higher dosages of DHA/EPA than healthy patients. Overall, the intervention was well tolerated. Ensuring adequate DHA and EPA levels and intake could be part of nutritional strategies for sleep support.
Abstract
Docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA)-omega-3 fatty acids with various functions-influence sleep in children and young adults. However, only limited studies on their effects on sleep in middle- and old-aged adults have been reported. Therefore, we investigated the effects of DHA and EPA on sleep quality in subjects aged ≥ 45 years. We performed a randomized, placebo-controlled, double-blinded, parallel-grouped study, in which we randomly assigned 66 healthy Japanese males and females. Each individual received six 480 mg capsules containing 576 mg DHA and 284 mg EPA per day (DHA/EPA group, n = 33), or corn oil (placebo group, n = 33), for 12 weeks. Before and after the intervention, the Oguri-Shirakawa-Azumi sleep inventory MA version (OSA-MA) and the sleep state test were conducted. In the DHA/EPA group, factor III (frequent dreaming) scores among the OSA-MA scores were significantly improved compared to the placebo group. Additionally, sleep state tests revealed that sleep efficiency improved in the DHA/EPA group. To our knowledge, this study is the first to report that DHA/EPA improves sleep quality in middle- and old-aged individuals, even at doses lower than those administered in previous studies.
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Long COVID: An overview.
Raveendran, AV, Jayadevan, R, Sashidharan, S
Diabetes & metabolic syndrome. 2021;15(3):869-875
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SARS-CoV-2 infection (COVID-19) is a major pandemic resulting in considerable mortality and morbidity worldwide. For some people who recover from COVID-19, symptoms persist or new ones develop for weeks or months after infection despite testing PCR negative. This is termed long-COVID or post-COVID syndrome and divided into two stages: post-acute-COVID with symptoms extending beyond three weeks, and chronic-COVID with symptoms extending beyond 12 weeks. Factors that increase the risk for long-COVID include being female, age, having more than five symptoms in the acute stage of infection and pre-existing health conditions. A mild disease course is not exclusive to long-COVID. Typically affected by long-COVID are the pulmonary or cardiovascular system, with neuropsychiatric presentations also being reported. Common symptoms are one or more of the following such as fatigue, breathlessness, cough, chest pain, heart racing, headache, joint pain, muscle pain and weakness, insomnia, pins and needles, diarrhoea, rash, hair loss, impaired balance, neurocognitive issues. Due to the novelty of the virus, the underline pathophysiology of long-COVID still requires further investigation. Contributing factors mentioned include: compromised body functions after illness and inactivity, organ damage, persistent inflammation, altered immune response and auto-antibody generation and viral persistence. The impact of medication, treatments, hospitalisation or associated post-traumatic stress is also urged to be accounted for. Diagnosis of long-COVID is made by thorough history taking, clinical examination and the exclusion of other conditions. For the management of long-COVID, the authors in this review suggest the sub-categorisation depending on the body system most affected to optimize treatment options. Furthermore, it is encouraged that medical treatment should also consider the monitoring for worsening of any pre-existing health conditions post-infection. This review yields a informative summary of the definition, symptom presentations, risk factors, diagnosis and medical treatment options relating to long-COVID.
Abstract
BACKGROUND AND AIMS Long COVID is the collective term to denote persistence of symptoms in those who have recovered from SARS-CoV-2 infection. METHODS WE searched the pubmed and scopus databases for original articles and reviews. Based on the search result, in this review article we are analyzing various aspects of Long COVID. RESULTS Fatigue, cough, chest tightness, breathlessness, palpitations, myalgia and difficulty to focus are symptoms reported in long COVID. It could be related to organ damage, post viral syndrome, post-critical care syndrome and others. Clinical evaluation should focus on identifying the pathophysiology, followed by appropriate remedial measures. In people with symptoms suggestive of long COVID but without known history of previous SARS-CoV-2 infection, serology may help confirm the diagnosis. CONCLUSIONS This review will helps the clinicians to manage various aspects of Long COVID.
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Effects of Probiotic NVP-1704 on Mental Health and Sleep in Healthy Adults: An 8-Week Randomized, Double-Blind, Placebo-Controlled Trial.
Lee, HJ, Hong, JK, Kim, JK, Kim, DH, Jang, SW, Han, SW, Yoon, IY
Nutrients. 2021;13(8)
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Dietary changes directly alter the gut microbiome composition. A diversified gut microbiome may have therapeutic implications for mental health, and specific strains of probiotics have shown the potential to treat depression and anxiety. Several preclinical trials have found the probiotic mixture NVP-1704 to alleviate depression and anxiety in mice through modulating the gut-brain-microbiome axis. The aim of this randomised, double-blind, placebo-controlled, parallel study was to examine the efficacy and safety of NVP-1704 for the management of depression, anxiety and insomnia in healthy adults. A total of 156 healthy adults with subclinical depression, anxiety and insomnia were randomised to receive either NVP-1704 or placebo for eight weeks. Participants completed various questionnaires and biomarkers of stress and inflammation were assessed. After eight weeks, this study found that NVP-1704 to be a safe and well-tolerated probiotic with beneficial effects on depression, sleep quality, inflammation and gut microbiome composition in healthy adults. Based on this study, the authors conclude the therapeutic effects of NVP-1704 previously found in preclinical mice trials may now be translated to clinical trials. The authors suggest large, highly controlled, longitudinal human studies be conducted in the future to further confirm the benefits of probiotics on mental health and sleep.
Abstract
The human gut microbiome is closely linked to mental health and sleep. We aimed to verify the efficacy and safety of probiotic NVP-1704, a mixture of Lactobacillus reuteri NK33 and Bifidobacterium adolescentis NK98, in improving stress, depression, anxiety, and sleep disturbances, along with the measurement of some blood biomarkers. A total of 156 healthy adults with subclinical symptoms of depression, anxiety, and insomnia were retrospectively registered and randomly assigned to receive either NVP-1704 (n = 78) or a placebo (n = 78) for eight weeks. Participants completed the Stress Response Inventory, Beck's Depression and Anxiety Inventory, Pittsburg Sleep Quality Index, and Insomnia Severity Index at baseline, at four and eight weeks of treatment. Pre- and post-treatment blood tests for biomarkers were conducted. After intervention, gut microbiota composition was quantified by pyrosequencing the bacterial 16S rRNA gene. The NVP-1704 group had a more significant reduction in depressive symptoms at four and eight weeks of treatment, and anxiety symptoms at four weeks compared to the placebo group. Those receiving NVP-1704 also experienced an improvement in sleep quality. NVP-1704 treatment led to a decrease in serum interleukin-6 levels. Furthermore, NVP-1704 increased Bifidobacteriaceae and Lactobacillacea, whereas it decreased Enterobacteriaceae in the gut microbiota composition. Our findings suggest that probiotic NVP-1704 could be beneficial for mental health and sleep.
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Digital cognitive behavioral therapy for insomnia promotes later health resilience during the coronavirus disease 19 (COVID-19) pandemic.
Cheng, P, Casement, MD, Kalmbach, DA, Castelan, AC, Drake, CL
Sleep. 2021;44(4)
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The 2019 coronavirus disease (COVID-19) pandemic has had health consequences that extend well-beyond symptoms of the virus. Mental health problems are already being observed in the context of COVID-19 and have also been documented during previous epidemics. The aim of this study was to evaluate the effect of prior digital cognitive-behavioural therapy for insomnia (dCBT-I) versus sleep education on health resilience during the COVID-19 pandemic. This study is a follow up study based on a previous randomised controlled trial [SPREAD trial] for which the enrolled participants were divided into two groups: 358 in the dCBT-I condition and 300 in the control condition. For this follow-up study 208 participants (dCBT-I: n = 102; control: n = 106) out of the total 658 participants were enrolled. Results indicate that 67.3% of the sample reported direct impact from the coronavirus, and 26.4% reported living alone during the shelter-in-place orders. Furthermore, those who received dCBT-I reported less insomnia, stress, depression, and better global physical health compared to those who received a sleep education control. Authors conclude that future research should examine the mechanisms by which insomnia treatment may enhance resilience, and the role of dCBT-I in mitigating the adverse health consequences of the COVID-19 pandemic.
Abstract
STUDY OBJECTIVES Stressful life events contribute to insomnia, psychosocial functioning, and illness. Though individuals with a history of insomnia may be especially vulnerable during stressful life events, risk may be mitigated by prior intervention. This study evaluated the effect of prior digital cognitive-behavioral therapy for insomnia (dCBT-I) versus sleep education on health resilience during the COVID-19 pandemic. METHODS COVID impact, insomnia, general- and COVID-related stress, depression, and global health were assessed in April 2020 in adults with a history of insomnia who completed a randomized controlled trial of dCBT-I (n = 102) versus sleep education control (n = 106) in 2016-2017. Regression analyses were used to evaluate the effect of intervention conditions on subsequent stress and health during the pandemic. RESULTS Insomnia symptoms were significantly associated with COVID-19 related disruptions, and those who previously received dCBT-I reported less insomnia symptoms, less general stress and COVID-related cognitive intrusions, less depression, and better global health than those who received sleep education. Moreover, the odds for resurgent insomnia was 51% lower in the dCBT-I versus control condition. Similarly, odds of moderate to severe depression during COVID-19 was 57% lower in the dCBT-I condition. CONCLUSIONS Those who received dCBT-I had increased health resilience during the COVID-19 pandemic in adults with a history of insomnia and ongoing mild to moderate mental health symptoms. These data provide evidence that dCBT-I is a powerful tool to promote mental and physical health during stressors, including the COVID-19 pandemic. CLINICAL TRIAL REGISTRATION NCT02988375.