scholarly journals The Impact of Tryptophan Supplementation on Sleep Quality: A Systematic Review, Meta-Analysis and Meta-Regression

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 373-373
Author(s):  
Clarinda Sutanto ◽  
Wen Wei Loh ◽  
Jung Eun Kim
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Random Effect ◽  
Sleep Onset ◽  
Sleep Time ◽  
P Value ◽  
Post Intervention ◽  
Meta Regression ◽  
The Impact

Abstract Objectives Sleep disturbances have been associated with higher risk of developing a range of health conditions such as impaired cognition, type 2 diabetes mellitus and cardiovascular disease. L-tryptophan (Trp) has been documented to aid sleep, but a systematic compilation of its effect on sleep quality is still limited. This study aimed to assess the effect of Trp supplementation on sleep quality via meta-analysis and meta-regression. The effects of Trp dose (<1 g and ≥ 1 g) was also assessed. Methods A database search was done in PubMed, Medline (Ovid), CINAHL and COCHRANE and a total of 18 articles were collected. Sleep outcomes that were observed include total sleep time (TST), sleep latency (SL), wake after sleep onset (WASO) and sleep efficiency (SE). Extracted data from four articles were also analyzed using random-effect meta-analysis and meta-regression. Standardized mean difference (SMD) was used in meta-analysis. To investigate the dose-dependent efficacy of Trp, the post-intervention sleep outcomes from 18 articles were extracted and categorized into two Trp dose groups: <1g and ≥1g. This was then followed by an independent t-test comparison. Results Results from the study suggested that Trp supplementation can shorten WASO [SMD − 1.08 min, 95%CI (−1.89, −0.28); −81.03 min/g, P-value = 0.017]. In addition, the group with ≥ 1g Trp supplementation displayed a shorter WASO than the group with Trp < 1g supplementation (Trp < 1g vs. Trp ≥ 1g: 56.55 mins vs. 29.91 mins; P-value: 0.001). However, Trp supplementation did not affect other sleep components. Conclusions Trp supplementation, especially at ≥ 1g, can aid in improving sleep. Funding Sources National University of Singapore, NUS iHealthtech Microbiome in Health, Disease and Ageing.

Measure of Atopic Dermatitis Disease Severity Using Actigraphy

2014 ◽  
Vol 18 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Laura F. Sandoval ◽  
Karen Huang ◽  
Jenna L. O'Neill ◽  
Cheryl J. Gustafson ◽  
Emily Hix ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Sleep Quality ◽  
Disease Severity ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Sleep Time ◽  
Random Effects Models ◽  
Short Course ◽  
Wrist Actigraphy ◽  
The Impact

Background: Analyzing adherence to treatment and outcomes in atopic dermatitis is limited by methods to assess continual disease severity. Atopic dermatitis significantly impacts sleep quality, and monitoring sleep through actigraphy may capture disease burden. Purpose: To assess if actigraphy monitors provide continuous measures of atopic dermatitis disease severity and to preliminarily evaluate the impact of a short-course, high-potency topical corticosteroid regimen on sleep quality. Methods: Ten patients with mild to moderate atopic dermatitis applied topical fluocinonide 0.1% cream twice daily for 5 days. Sleep data were captured over 14 days using wrist actigraphy monitors. Investigator Global Assessment (IGA) and secondary measures of disease severity were recorded. Changes in quantity of in-bed time sleep were estimated with random effects models. Results: The mean daily in-bed time, total sleep time, and wake after sleep onset (WASO) were 543.7 minutes (SEM 9.4), 466.0 minutes (SEM 7.7), and 75.0 minutes (SEM 3.4), respectively. WASO, a marker of disrupted sleep, correlated with baseline (ρ = .75) and end of treatment IGA (ρ = .70). Most patients did not have marked changes in sleep. IGA scores declined by a median change of 1 point at days 7 ( p = .02) and 14 ( p = .008). Conclusions: Using actigraphy, atopic dermatitis disease severity positively correlated with sleep disturbances. Actigraphy monitors were well tolerated by this cohort of atopic dermatitis subjects.

scholarly journals Impact of Pruritus on Sleep Quality of Hemodialysis Patients: A Systematic Review and Meta-Analysis

Medicina ◽  
2019 ◽  
Vol 55 (10) ◽  
pp. 699
Author(s):  
Rehman ◽  
Chohan ◽  
Bukhsh ◽  
Khan
Keyword(s):  
Systematic Review ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Negative Impact ◽  
Meta Analysis ◽  
Random Effect ◽  
Published Data ◽  
Disturbed Sleep ◽  
The Impact

: Chronic kidney disease (CKD)-associated pruritus is a common and disturbing condition which has a negative impact on sleep quality, as well as overall health-related quality of life of patients receiving hemodialysis. To date, no systematic review has been undertaken, and there is a lack of concise evidence that statistically quantifies the impact of pruritus based on published data. A systematic search was done for original articles published in peer-reviewed English journals from database inception on 20 December, 2018, in the following databases: PubMed, MEDLINE, EMBASE, Ovid, CINHAL, ProQuest, and Scopus. A total of 9217 research articles were identified. After removal of duplicates and screening for titles and abstracts, 28 articles were selected. The prevalence of disturbed sleep was 4–94%, while the pooled proportion on random effect in the study was 40% (95% CI = 0.30 to 0.49); I2 = 99.8%. However, the prevalence of disturbed sleep quality and quantity due to pruritus was 9–76%, and the pooled proportion on random effect in the study was 50% (95% CI = 0.37 to 0.64); I2 = 99.8%. Patients undergoing hemodialysis who are affected by CKD-associated pruritus have a higher chance of experiencing sleep disturbances. The prevalence of disturbed sleep due to CKD-associated pruritus was found to be 9–76% in the included studies for patients receiving hemodialysis therapy.

Poor sleep quality is associated with perinatal depression. A systematic review of last decade scientific literature and meta-analysis

2019 ◽  
Vol 47 (7) ◽  
pp. 689-703 ◽  
Author(s):  
Ernesto González-Mesa ◽  
Celia Cuenca-Marín ◽  
María Suarez-Arana ◽  
Beatriz Tripiana-Serrano ◽  
Nadia Ibrahim-Díez ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Perinatal Depression ◽  
Meta Analysis ◽  
Well Being ◽  
Mental States ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Impact

Abstract Background Although pregnancy is frequently associated with mental states of happiness, hope and well-being, some physical and psychological changes can contribute to increased sleep disturbances and worsened sleep quality. Sleep quality has been linked to negative emotions, anxiety and depression. The main objective of this paper was to systematically review the impact of sleep during pregnancy on maternal mood, studying the association between objective and subjective measures of sleep quality and perinatal depression. Methods We performed a systematic review according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, which included studies published between January 2008 and April 2019, and met the following criteria: (i) studies on pregnant women assessing the effects of sleep quality variables on perinatal mood disorders, (ii) studies published in English and (iii) full paper published in a peer-reviewed scientific journal with full-text format available. Results A total of 36 studies published in the last decade met the inclusion criteria for qualitative review and eight of them were suitable for meta-analysis. Both confirmed the negative effects of poor sleep on perinatal mood. However, qualitative analysis showed that unrepresentative samples and low participation rates falling below 80% biased some of the studies. The standard random-effects meta-analysis showed a pooled size effect [ln odds ratio (OR) 1.49 (95% confidence interval [CI] 1.19, 1.79)] for perinatal depression in cases of poor prenatal sleep quality, although heterogeneity was moderate to high [Q 16.05, P ≤ 0.025, H2 2.45 (95% CI 1.01, 13.70)]. Conclusion Poor sleep quality was associated with perinatal mood disturbances. The assessment of sleep quality along the pregnancy could be advisable with a view to offering preventative or therapeutic interventions when necessary.

scholarly journals What type of mattress should be chosen to avoid back pain and improve sleep quality? Review of the literature

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Gianfilippo Caggiari ◽  
Giuseppe Rocco Talesa ◽  
Giuseppe Toro ◽  
Eugenio Jannelli ◽  
Gaetano Monteleone ◽  
...  
Keyword(s):  
Systematic Review ◽  
Low Back Pain ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Low Back

AbstractEnergy spent during daily activities is recuperated by humans through sleep, ensuring optimal performance on the following day. Sleep disturbances are common: a meta-analysis on sleep quality showed that 15–30% of adults report sleep disorders, such as sleep onset latency (SOL), insufficient duration of sleep and frequently waking up at night. Low back pain (LBP) has been identified as one of the main causes of poor sleep quality. Literature findings are discordant on the type of mattress that might prevent onset of back pain, resulting in an improved quality of sleep. We conducted a systematic literature review of articles published until 2019, investigating the association of different mattresses with sleep quality and low back pain. Based on examined studies, mattresses were classified according to the European Committee for Standardization (2000) as: soft, medium-firm, extra-firm or mattresses customized for patients affected by supine decubitus. A total of 39 qualified articles have been included in the current systematic review. Results of this systematic review show that a medium-firm mattress promotes comfort, sleep quality and rachis alignment.

scholarly journals Characteristics of sleep-conducive music: A narrative evidence review

2020 ◽  
Vol 7 (3) ◽  
pp. 430-437
Author(s):  
Yuluan Wang ◽  
Annette Rivard ◽  
Christine Guptill ◽  
Carol Boliek ◽  
Cary Brown
Keyword(s):  
Sleep Disturbances ◽  
Meta Analysis ◽  
Sleep Onset ◽  
Well Being ◽  
Future Research ◽  
Evidence Based ◽  
Negative Consequences ◽  
Evidence Review ◽  
Evidence Based Guidelines ◽  
The Impact

Objectives: Sleep deficiency (SD) is a prevalent problem and has serious negative consequences for physical, cognitive, and psychological well-being. The use of music as a non-pharmacological sleep intervention has been proposed in several studies. A 2014 meta-analysis of 10 randomized trials evaluating the impact of music on sleep concluded that it can decrease sleep onset delay (latency) and sleep disturbances, increases sleep duration, and improves daytime dysfunction.  It appears that, to-date, evidence-based guidelines for the selection and/or production of sleep-promoting music do not exist.  This review addresses that gap and synthesizes available literature towards the goal of developing guidelines grounded in the evidence-based characteristics of sleep conducive music. Design and Results: A narrative review of research papers relevant to the topic identified evidence-based characteristics of sleep-conducive music related to tempo, rhythm, pitch, volume, and duration. Conclusion: This identification and compilation of evidence-based characteristics of sleep-conducive music can underpin future research that targets development and testing of specific music to promote sleep.  

scholarly journals 1071 Subjective Measures Of Hyperarousal Predict Subjective Longitudinal And Retrospective Measures Of Sleep Quality In Individuals Exposed To Trauma

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A408-A408
Author(s):  
A Kram Mendelsohn ◽  
C Daffre ◽  
K I Oliver ◽  
J Seo ◽  
N B Lasko ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Traumatic Event ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Wake Time ◽  
Sleep Diaries ◽  
Dsm 5

Abstract Introduction Hyperarousal and disturbed sleep are intrinsic symptoms of posttraumatic stress disorder (PTSD). We explored whether self-reported indices of hyperarousal predict longitudinally measured objective, subjective, and retrospective evaluations of sleep quality in trauma-exposed individuals. Methods Individuals exposed to a DSM-5 PTSD Criterion-A traumatic event within the past two years (N=130, 91 females), aged 18-40 (mean 24.43, SD 5.30), 51.54% of whom met DSM-5 criteria for PTSD, completed 14 days of actigraphy and sleep diaries. Participants also completed the PTSD Checklist for DSM-5 (PCL-5), the Clinician-Administered PTSD Scale (CAPS-5), published Hyperarousal (HAS) and Hypervigilance (HVQ) scales, and the Pittsburgh Sleep Quality Index (PSQI) (N=108-125 for different scales). Mean total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE) and sleep midpoint were calculated from actigraphy and subjective SOL, SE, number of awakenings, and time spent awake from diaries. Simple regressions were used to predict associations of the PCL-5, HAS, and HVQ scores with measures of sleep quality. Results Hyperarousal indices predicted diary but not actigraphy measures of sleep quality. Longer diary-reported SOL was predicted by higher scores for: PCL-5 total score (R=0.290, p=0.001), PCL-5 hyperarousal items without the sleep item (R=0.261, p=0.004), and HAS without sleep items (R=0.220, p=0.016). Diary-reported number of awakenings and wake time after sleep onset were predicted by higher HAS scores without the sleep question: (R=0.373, p<0.001; r=0.352, p<0.001). Similarly, all hyperarousal indices significantly predicted PSQI global score (PCL-5: R=0.482, p<0.001; PCL-5 hyperarousal: R=0.389, p<0.001; HVQ: R=0.214, p=0.017; HAS without sleep question: R=0.415, p<0.001). Conclusion Self-reported hyperarousal measures predict subjective longitudinal (especially SOL) and retrospective measures, but not objective measurements of sleep quality. Similar discrepancies between self-reported and objective measures of sleep quality have been reported in patients with insomnia disorder. Cognitive-behavioral therapy for insomnia may be especially effective in treating post-traumatic sleep disturbances. Support R01MH109638

scholarly journals Efficacy of Face-to-Face Delivered Cognitive Behavioral Therapy in Improving Health Status of Patients With Insomnia: A Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Dawei Xu ◽  
Elizabeth Cardell ◽  
Simon A. Broadley ◽  
Jing Sun
Keyword(s):  
Sleep Quality ◽  
Behavioral Therapy ◽  
Meta Analysis ◽  
Sleep Onset ◽  
Intervention Group ◽  
Severity Index ◽  
Sleep Time ◽  
Control Group ◽  
Sleep Onset Latency ◽  
Face To Face

Background: Face-to-face cognitive behavioral therapy (CBT) is one of the most widely used non-pharmacological treatment approaches for insomnia. The aim of this study is to assess the efficacy of face-to-face delivered CBT on health outcomes and to evaluate the effect of CBT components as subgroup variables to explain the efficacy of face-to-face delivered CBT on health outcomes in adults over 18 years old with insomnia.Methods: Relevant randomized controlled trial studies published in the past 22 years were searched through the electronic databases. The Physiotherapy Evidence Database (PEDro) scale was used to assess the quality of the 31 included studies. The mean difference and standard deviation of outcome variables and subgroup variables were analyzed using random effect model, and the heterogeneity among the articles was assessed with the Q-test and I2. Egger regression analysis was used to assess publication bias.Results: The meta-analysis showed a significant reduction in Insomnia Severity Index [standardized mean difference (SMD) = −2.56, 95% CI −3.81 to −1.30, p < 0.001], Pittsburgh Sleep Quality Index (SMD = −0.96, 95% CI −1.25 to −0.68, p < 0.001), sleep onset latency (SMD = −1.31, 95% CI −2.00 to −0.63, p < 0.001), wakening after sleep onset (SMD = −1.44, 95% CI −2.14 to −0.74, p < 0.001), number of awakenings (SMD = −1.18, 95% CI −2.10 to −0.26, p < 0.05), depression (SMD = −1.14, 95% CI −1.85 to −0.42, p < 0.01), and fatigue (SMD = −2.23, 95% CI −3.87 to −0.58, p < 0.01), and a significant increase in total sleep time (SMD = 0.63, 95% CI 0.28 to 0.98, p < 0.001), sleep efficiency (SMD = 1.61, 95% CI 0.92 to 2.29, p < 0.001), and physical health (SMD = 0.42, 95% CI 0.08 to 0.76, p < 0.05), in the CBT intervention group compared with the control group. There was no significant change in anxiety (SMD = −0.62, 95% CI −1.55 to 0.32, p > 0.05) and mental health (SMD = 1.09, 95% CI −0.59 to 2.77, p > 0.05) in CBT intervention group compared with control group. Group-delivered studies with larger number of intervention sessions and longer duration of single session provided a larger improvement in sleep quality.Conclusion: Face-to-face delivered CBT is effective in increasing total sleep time, sleep efficiency, and physical health, and reducing Insomnia Severity Index scores, Pittsburgh Sleep Quality Index scores, sleep onset latency, wakening after sleep onset, number of awakenings, depression, anxiety, and fatigue in patients with insomnia. Face-to-face delivered CBT is more effective when delivered through a larger number of sessions with longer duration of each session, and when delivered in groups. Face-to-face CBT is recommended to provide treatment to patients with insomnia in clinical settings.Systematic Review Registration:www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020200091, identifier: CRD4202020009.

scholarly journals The Negative Effect of Carpal Tunnel Syndrome on Sleep Quality

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Ashish Patel ◽  
Maya Deza Culbertson ◽  
Archit Patel ◽  
Jenifer Hashem ◽  
Jinny Jacob ◽  
...  
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Sleep Quality ◽  
Carpal Tunnel ◽  
Sleep Disturbances ◽  
Sleep Latency ◽  
Sleep Time ◽  
Quality Parameters ◽  
Negative Effect ◽  
Tunnel Syndrome ◽  
The Impact

Objective. Sleep disturbances are common in patients with carpal tunnel syndrome (CTS). This study investigates the impact of CTS on sleep quality and clarifies the magnitude of this relationship.Methods. This is a prospective investigation of patients with CTS. Patients responded to the Levine-Katz Carpal Tunnel and the Pittsburgh Sleep Quality Index (PSQI) questionnaires to assess symptom severity and quality, respectively. Descriptive and bivariate analyses summarized the findings and assessed the correlations between CTS severity and sleep quality parameters.Results. 66 patients (53F, 13M) were enrolled. Patients reported a sleep latency of 30.0 (±22.5) minutes, with a total sleep time of 5.5 (±1.8) hours nightly. Global PSQI score was 9.0 (±3.8); 80% of patients demonstrated a significant reduction in sleep quality (global PSQI score>5). Increased CTS symptom and functional severity both resulted in a significant reduction in quality and time asleep. Both significantly correlated with subjective sleep latency, sleep disturbance, use of sleep promoting medications, daytime dysfunction, and overall global PSQI score.Conclusions. The findings confirm the correlation of sleep disturbances to CTS, that is, significant reduction of sleep duration and a correlation to sleep quality. Patients sleep 2.5 hours less than recommended and are at risk for comorbid conditions.

679 Prevalence of Sleep Disturbances in Patients with Chronic Non-cancer Pain: A Systematic Review and Meta-Analysis

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A265-A266
Author(s):  
Yishi Sun ◽  
Isabelle Laksono ◽  
Janannii Selvanathan ◽  
Aparna Saripella ◽  
Mahesh Nagappa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Chronic Pain ◽  
Sleep Quality ◽  
Cancer Pain ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Pain Group ◽  
Pooled Prevalence ◽  
Chronic Pain Patients ◽  
Pain Patients

Abstract Introduction In individuals with chronic pain, sleep disturbances have been suggested to increase suffering, perception of pain, and to negatively affect long-term prognosis. This systematic review and meta-analysis aims to determine the pooled prevalence of sleep disturbances in chronic non-cancer pain patients with no other sleep disorders, using the patient-rated questionnaires Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Methods Multiple databases were searched for studies reporting the prevalence of sleep disturbances in chronic pain patients. Chronic pain was defined as pain >3 months. Comorbid sleep disorders such as sleep disordered breathing and restless leg syndrome were excluded. Sleep disturbances were defined using the PSQI cutoff of > 5 (poor sleep quality) and ISI ≥ 8 (subthreshold to clinical insomnia). The meta-analysis was conducted to examine the pooled prevalence of PSQI and ISI data using the inverse-variance random-effects model and to examine mean differences in PSQI scores. Results The systematic search resulted in 25,486 articles and 20 were included for analysis. In 12 studies using PSQI, the pooled prevalence of sleep disturbance was 75.3% among 3,597 chronic pain patients (mean age 53 ± 12 years; 74% female). In eight studies using ISI, the pooled prevalence was 72.9% among 2,578 chronic pain patients (mean age 63 ± 12 years; 57% female). The meta-analysis showed a significant mean difference of 2.75 (p < 0.001) in the global PSQI score between the chronic pain group versus the non-chronic pain group. The meta-analysis also showed a significant mean difference in the scores of four of seven PSQI components: sleep latency, sleep efficiency, sleep duration, and sleep disturbances (p < 0.05). Conclusion In chronic pain patients, the pooled prevalence of sleep disturbances as measured by PSQI (75.3%) and ISI (72.9%) studies was much higher than those reported for the general population. The relatively high prevalence of sleep disturbances in chronic pain patients emphasizes the importance of further characterizing the relationship between sleep and chronic pain. Support (if any):

Impact of Treatment for Nasal Cavity Disorders on Sleep Quality: Systematic Review and Meta-analysis

2021 ◽  
pp. 019459982110295
Author(s):  
Jacob Fried ◽  
Erick Yuen ◽  
Kathy Zhang ◽  
Andraia Li ◽  
Nicholas R. Rowan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sleep Quality ◽  
Nasal Obstruction ◽  
Meta Analysis ◽  
Mean Difference ◽  
Cochrane Library ◽  
Life Questionnaire ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
The Impact

Objective To determine the impact of treatment for patients with nasal obstruction secondary to allergic rhinitis (AR) and nasal septal deviation (NSD) on sleep quality. Data Sources Primary studies were identified though PubMed, Scopus, Cochrane Library, and Web of Science. Review Methods A systematic review was performed by querying databases for articles published through August 2020. Studies were included that reported on objective sleep parameters (apnea-hypopnea index) and sinonasal and sleep-specific patient-reported outcome measures: Rhinoconjunctivitis Quality of Life Questionnaire, Nasal Obstruction Symptom Evaluation, Epworth Sleepiness Scale (EpSS), and Pittsburgh Sleep Quality Index (PSQI). Results The database search yielded 1414 unique articles, of which 28 AR and 7 NSD studies were utilized for meta-analysis. A total of 9037 patients (8515 with AR, 522 with NSD) were identified with a mean age of 35.0 years (35.3 for AR, 34.0 for NSD). Treatment for AR and NSD significantly improved subjective sleep quality. For AR, the EpSS mean difference was −1.5 (95% CI, –2.4 to –0.5; P = .002) and for the PSQI, –1.7 (95% CI, –2.1 to –1.2; P < .00001). For NSD, the EpSS mean difference was −3.2 (95% CI, –4.2 to –2.2; P < .00001) and for the PSQI, –3.4 (95% CI, –6.1 to –0.6; P = .02). Conclusion Subjective sleep quality significantly improved following treatment for AR and NSD. There were insufficient data to demonstrate that objective metrics of sleep quality similarly improved.

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