scholarly journals Study of correlation between perceived sleep disturbances in depressed patients with objective changes in sleep architecture using polysomnography before and after antidepressant therapy

2020 ◽  
Vol 8 (7) ◽  
pp. 2551
Author(s):  
Ganesh Ingole ◽  
Harpreet S. Dhillon ◽  
Bhupendra Yadav
Keyword(s):  
Sleep Disturbances ◽  
Total Sleep Time ◽  
Antidepressant Treatment ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Sleep Architecture ◽  
Wake Time ◽  
Depressed Patients ◽  
Before And After

Background: A prospective cohort study to correlate perceived sleep disturbances in depressed patients with objective changes in sleep architecture using polysomnography (PSG) before and after antidepressant therapy.Methods: Patients were recruited into the study after applying strict inclusion and exclusion criterion to rule out other comorbidities which could influence sleep. A diagnosis of Depressive episode was made based on ICD-10 DCR. Psychometry, in the form of Beck Depressive inventory (BDI) and HAMD (Hamilton depression rating scale) insomnia subscale was applied on Day 1 of admission. Patients were subjected to sleep study on Day 03 of admission with Polysomnography. Patients were started on antidepressant treatment post Polysomnography. An adequate trial of antidepressants for 08 weeks was administered and BDI score ≤09 was taken as remission. Polysomnography was repeated post remission. Statistical analysis was performed using Kruskal Wallis test and Pearson correlation coefficient.Results: The results showed positive (improvement) polysomnographic findings in terms of total sleep time, sleep efficiency, wake after sleep onset, percentage wake time and these findings were statistically significant. HAM-D Insomnia subscale was found to correlate with total sleep time, sleep efficiency, wake after sleep onset, total wake time and N2 Stage percentage.Conclusions: Antidepressant treatment effectively improves sleep architecture in Depressive disorder and HAM-D Insomnia subscale correlates with objective findings of total sleep time, sleep efficiency, wake after sleep onset, total wake time and duration of N2 stage of NREM.

scholarly journals Delayed Lactogenesis II is Associated With Lower Sleep Efficiency and Greater Variation in Nightly Sleep Duration in the Third Trimester

2019 ◽  
Vol 35 (4) ◽  
pp. 713-724
Author(s):  
Theresa Casey ◽  
Hui Sun ◽  
Helen J. Burgess ◽  
Jennifer Crodian ◽  
Shelley Dowden ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Blood Glucose ◽  
Sleep Duration ◽  
Body Mass ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Delayed Onset ◽  
Wrist Actigraphy

Background: Metabolic and hormonal disturbances are associated with sleep disturbances and delayed onset of lactogenesis II. Research aims: The aim of this study was to measure sleep using wrist actigraphy during gestation weeks 22 and 32 to determine if sleep characteristics were associated with blood glucose, body mass index, gestational related disease, delayed onset of lactogenesis II, or work schedule. Methods: Demographic data were collected at study intake from primiparous women who wore a wrist actigraph during gestation weeks 22 ( n = 50) and 32 ( n = 44). Start and end sleep time, total nighttime sleep, sleep efficiency, wake after sleep onset, and sleep fragmentation were measured. Night to night variability was assessed with the root mean square of successive difference. Blood glucose levels, body mass index, and gestational disease data were abstracted from medical charts. Timing of lactogenesis II was determined by survey. Results: Between gestation week 22 and 32, sleep efficiency decreased and fragmentation increased ( p < .05). During gestation week 32, blood glucose was negatively correlated with sleep duration, and positively related to fragmentation ( p < .05). Women who experienced delayed lactogenesis II had lower sleep efficiency and greater fragmentation ( p < .05), and greater night-to-night variability in sleep start and end time, efficiency, and duration during gestation week 32 ( p < .05). Conclusion: Women with better sleep efficiency and more stable nightly sleep time are less likely to experience delayed onset of lactogenesis II. Interventions to improve sleep may improve maternal health and breastfeeding adequacy.

Sleep disturbance and quality of life in Rheumatoid Arthritis: a prospective mobile health study (Preprint)

2021 ◽  
Author(s):  
John McBeth ◽  
William G Dixon ◽  
Susan Mary Moore ◽  
Bruce Hellman ◽  
Ben James ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Rheumatoid Arthritis ◽  
Sleep Disturbance ◽  
Mobile Health ◽  
Sleep Disturbances ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Domain Scores

BACKGROUND Sleep disturbance and poor health related quality of life (HRQoL) are common in people with rheumatoid arthritis (RA). Sleep disturbances, such as less total sleep time, more waking periods after sleep onset, and higher levels of non-restorative sleep, may be a driver of HRQoL. However, understanding if these sleep disturbances reduce HRQoL has, to date, been challenging due to the need to collect complex time-varying data in high resolution. Such data collection has now been made possible by the widespread availability and use of mobile health (mHealth) technologies. OBJECTIVE In a mobile health (mHealth) study we tested whether sleep disturbance (both absolute values and variability) caused poor HRQoL. METHODS The Quality of life, sleep and rheumatoid arthritis (QUASAR) study was a prospective mHealth study of adults with RA. Participants completed a baseline questionnaire, and for 30 days wore a triaxial accelerometer to objectively assess sleep, and provided daily reports via a smartphone app of sleep (Consensus Sleep Diary (CSD)), pain, fatigue, mood, and other symptoms. Participants completed the World Health Organization Quality of Life-Brief (WHOQoL-BREF) questionnaire every 10 days. Multi-level modelling tested the relationship between sleep variables and WHOQoL-BREF domains (physical, psychological, environment and social). RESULTS Of 268 recruited participants, 254 were included in this analysis. Across all WHOQoL-BREF domains, participant’s scores were lower than the population average. CSD sleep parameters predicted WHOQoL-BREF domain scores. For example, for each hour increase in the total time asleep physical domain scores increased by 1.11 points (β = 1.11 (0.07, 2.15)) and social domain scores increased by 1.65 points. These associations were not explained by sociodemographic and lifestyle factors, disease activity, medication use, levels of anxiety, sleep quality, or clinical sleep disorders. They were, however, attenuated and no longer significant when pain, fatigue and mood were included in the model. Increased variability in the total time asleep, was associated with poorer physical and psychological domain scores independently of all covariates. There were no patterns of association between actigraphy measured sleep and WHOQoL-BREF. CONCLUSIONS Optimising total sleep time, increasing sleep efficiency, decreasing sleep onset latency, and reducing the variability in total sleep time could improve HRQoL in people with RA.

Links between sleep and body mass index in bipolar disorders: An exploratory study

2015 ◽  
Vol 30 (1) ◽  
pp. 89-93 ◽  
Author(s):  
C. Boudebesse ◽  
P.-A. Geoffroy ◽  
C. Henry ◽  
A. Germain ◽  
J. Scott ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Bipolar Disorders ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Sleep Onset Latency ◽  
Cross Sectional ◽  
Sleep Parameters

AbstractStudy objectives:Obesity and excess bodyweight are highly prevalent in individuals with bipolar disorders (BD) and are associated with adverse consequences. Multiple factors may explain increased bodyweight in BD including side effects of psychotropic medications, and reduced physical activity. Research in the general population demonstrates that sleep disturbances may also contribute to metabolic burden. We present a cross-sectional study of the associations between body mass index (BMI) and sleep parameters in patients with BD as compared with healthy controls (HC).Methods:Twenty-six French outpatients with remitted BD and 29 HC with a similar BMI completed a 21-day study of sleep parameters using objective (actigraphy) and subjective (PSQI: Pittsburgh Sleep Quality Index) assessments.Results:In BD cases, but not in HC, higher BMI was significantly correlated with lower sleep efficiency (P = 0.009) and with several other sleep parameters: shorter total sleep time (P = 0.01), longer sleep onset latency (P = 0.05), higher fragmentation index (P = 0.008), higher inter-day variability (P = 0.05) and higher PSQI total score (P = 0.004).Conclusions:The findings suggest a link between a high BMI and several sleep disturbances in BD, including lower sleep efficiency. Physiological mechanisms in BD cases may include an exaggeration of phenomena observed in non-clinical populations. However, larger scale studies are required to clarify the links between metabolic and sleep-wake cycle disturbances in BD.

Association Between Accelerometer and Parental Reported Weekend and Weekday Sleeping Patterns and Adiposity Among Preschool-Aged Children

2021 ◽  
Vol 4 (3) ◽  
pp. 266-273
Author(s):  
Bridget Coyle-Asbil ◽  
Hannah J. Coyle-Asbil ◽  
David W.L. Ma ◽  
Jess Haines ◽  
Lori Ann Vallis
Keyword(s):  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Older Children ◽  
Racially Diverse ◽  
Sex Effect ◽  
Healthy Development ◽  
The Difference ◽  
Waking Up

Sleep is vital for healthy development of young children; however, it is not understood how the quality and quantity vary between the weekends and weekdays (WE–WD). Research focused on older children has demonstrated that there is significant WE–WD variability and that this is associated with adiposity. It is unclear how this is experienced among preschoolers. This study explored: (a) the accuracy of WE–WD sleep as reported in parental logbooks compared with accelerometers; (b) the difference between WE and WD total sleep time, sleep efficiency, and timing, as assessed by accelerometers; and (c) the association between the variability of these metrics and adiposity. Eighty-seven preschoolers (M = 46; 4.48 ± 0.89 years) wore an accelerometer on their right hip for 7 days. Parents were given logbooks to track “lights out” times (sleep onset) and out of bed time (sleep offset). Compared with accelerometers, parental logbook reports indicated earlier sleep onset and later sleep offset times on both WEs and WDs. Accelerometer-derived total sleep time, sleep efficiency, and onset/offset were not significantly different on the WEs and WDs; however, a sex effect was observed, with males going to bed and waking up earlier than females. Correlation analyses revealed that variability of sleep onset times throughout the week was positively correlated with percentage of fat mass in children. Results suggest that variability of sleep onset may be associated with increased adiposity in preschool children. Additional research with larger and more socioeconomically and racially diverse samples is needed to confirm these findings.

Physical exercise may improve sleep quality in children and adolescents with Fontan circulation

2019 ◽  
Vol 29 (7) ◽  
pp. 922-929 ◽  
Author(s):  
Eva R. Hedlund ◽  
Li Villard ◽  
Bo Lundell ◽  
Gunnar Sjöberg
Keyword(s):  
Physical Exercise ◽  
Sleep Quality ◽  
Training Program ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Healthy Controls ◽  
Before And After ◽  
Improve Sleep Quality ◽  
Fontan Patients

AbstractObjective:To study physical activity and sleep in Fontan patients and healthy controls before and after an endurance training program, and after 1 year.Method:Fontan patients (n = 30) and healthy controls (n = 25) wore accelerometers for seven consecutive days and nights during a school week before and after a 12-week endurance training program and after 1 year.Results:Patients had similar sleep duration and sleep efficiency as healthy controls. Latency to sleep onset in minutes was longer for patients than controls (22.4 (4.3–55.3) minutes versus 14.8 (8.6–29.4) minutes, p < 0.01). More time in moderate-to-vigorous activity daytime was correlated with increased sleep time (p < 0.05; r2 = 0.20), improved sleep efficiency (p < 0.01; r2 = 0.24) and less time as wake after sleep onset (p < 0.05; r2 = 0.21) for patients but not controls. Sleep variables did not change after the exercise intervention for patients or controls. After 1 year, patients had decreased total sleep time, decreased sleep efficiency, increased accelerometer counts during sleep and more time as wake after sleep onset during sleep time, but not controls.Conclusions:Fontan patients have prolonged latency to sleep onset compared with controls. More time in physical activities was correlated with better sleep quality for the patients. Also, subjects with low sleep efficiency and long latency to sleep onset may benefit most from physical exercise. These patients should be encouraged to engage in individually designed physical exercise as this could improve sleep quality.

Sleep Electroencephalography in Depressive Illness a Collaborative Study by the World Health Organization

1991 ◽  
Vol 159 (4) ◽  
pp. 505-509 ◽  
Author(s):  
Julien Mendlewicz ◽  
Myriam Kerkhofs
Keyword(s):  
Major Depression ◽  
Total Sleep Time ◽  
Collaborative Study ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Eeg ◽  
World Health ◽  
Sleep Onset Latency ◽  
Depressed Patients ◽  
Eeg Abnormalities

Eight WHO research centres from Europe, North America and Asia took part in a WHO study aimed at assessing the reliability and consistency of sleep-EEG abnormalities in major depression. Each centre was asked to include in the study ten depressed patients aged 20–65 years meeting the Research Diagnostic Criteria for a major depressive disorder, and to match them by age and gender with ten controls. There were 67 patients and 66 controls included in the study. Compared with controls, depressed patients showed sleep-continuity disturbances such as increase in sleep-onset latency, and decrease in total sleep time and in sleep efficiency. Stages 2 and 3, as percentages of total sleep time, were reduced in depressed patients, REM latency was shortened and REM density increased. These findings confirm the presence of specific sleep-EEG abnormalities in major depression.

scholarly journals Home-Based Sleep Sensor Measurements in an Older Australian Population: Before and during a Pandemic

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 5993
Author(s):  
Mahnoosh Kholghi ◽  
Claire M. Ellender ◽  
Qing Zhang ◽  
Yang Gao ◽  
Liesel Higgins ◽  
...  
Keyword(s):  
Older Adults ◽  
Time Course ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Community Dwelling ◽  
Sleep Efficiency ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Short Sleep Duration

Older adults are susceptible to poor night-time sleep, characterized by short sleep duration and high sleep disruptions (i.e., more frequent and longer awakenings). This study aimed to longitudinally and objectively assess the changes in sleep patterns of older Australians during the 2020 pandemic lockdown. A non-invasive mattress-based device, known as the EMFIT QS, was used to continuously monitor sleep in 31 older adults with an average age of 84 years old before (November 2019–February 2020) and during (March–May 2020) the COVID-19, a disease caused by a form of coronavirus, lockdown. Total sleep time, sleep onset latency, wake after sleep onset, sleep efficiency, time to bed, and time out of bed were measured across these two periods. Overall, there was no significant change in total sleep time; however, women had a significant increase in total sleep time (36 min), with a more than 30-min earlier bedtime. There was also no increase in wake after sleep onset and sleep onset latency. Sleep efficiency remained stable across the pandemic time course between 84–85%. While this sample size is small, these data provide reassurance that objective sleep measurement did not deteriorate through the pandemic in older community-dwelling Australians.

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&lt;0.001; r=0.352, p&lt;0.001). Similarly, all hyperarousal indices significantly predicted PSQI global score (PCL-5: R=0.482, p&lt;0.001; PCL-5 hyperarousal: R=0.389, p&lt;0.001; HVQ: R=0.214, p=0.017; HAS without sleep question: R=0.415, p&lt;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 Sleep Parameters in Short Daily versus Conventional Dialysis: An Actigraphic Study

2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Ludimila D’Avila e Silva Allemand ◽  
Otávio Toledo Nóbrega ◽  
Juliane Pena Lauar ◽  
Joel Paulo Russomano Veiga ◽  
Einstein Francisco Camargos
Keyword(s):  
Total Sleep Time ◽  
Linear Regression Analysis ◽  
Sleep Onset ◽  
Objective Measure ◽  
Sleep Time ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Wake Time ◽  
Daily Dialysis ◽  
Sleep Parameters

Previous studies have observed worse sleep quality in patients undergoing conventional dialysis as compared to daily dialysis. Our aim was to compare the sleep parameters of patients undergoing daily or conventional dialysis using an objective measure (actigraphy). This cross-sectional study was performed in three dialysis centers, including a convenience sample (nonprobability sampling) of 73 patients (36 patients on daily hemodialysis and 37 patients on conventional hemodialysis). The following parameters were evaluated: nocturnal total sleep time (NTST), expressed in minutes; wake time after sleep onset (WASO), expressed in minutes; number of nighttime awakenings; daytime total sleep time (DTST), expressed in minutes; number of daytime naps; and nighttime percentage of sleep (% sleep). The Mini-Mental State Examination and the Beck Depression Inventory were also administered. The mean age was 53.4  ±  17.0 years. After adjustment of confounding factors using multiple linear regression analysis, no difference in actigraphy parameters was detected between the groups: NTST (p=0.468), WASO (p=0.88), % sleep (p=0.754), awakenings (p=0.648), naps (p=0.414), and DTST (p=0.805). Different from previous studies employing qualitative analysis, the present assessment did not observe an influence of hemodialysis modality on objective sleep parameters in chronic renal patients.

scholarly journals Effects of melatonin on sleep disturbances in multiple sclerosis: A randomized, controlled pilot study

2021 ◽  
Vol 7 (4) ◽  
pp. 205521732110487
Author(s):  
Wan-Yu Hsu ◽  
Annika Anderson ◽  
William Rowles ◽  
Katherine E. Peters ◽  
Vicki Li ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Total Sleep Time ◽  
Low Cost ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Double Blind ◽  
Randomized Controlled ◽  
Patient Reported

Background Sleep disturbances are commonly reported by people with multiple sclerosis (PwMS). However, optimal management of sleep disturbances is uncertain, and objective studies of sleep quality in PwMS are scarce. Objectives To determine the effect of exogenous melatonin on sleep quality and sleep disturbances in PwMS. Methods Thirty adult PwMS reporting sleep difficulties were recruited in a randomized, controlled, double-blind cross-over study. They took either melatonin or placebo for 2 weeks, and the opposite for the following 2 weeks. During weeks 2 and 4, an actigraph was used to capture mean total sleep time and sleep efficiency. Patient-reported outcomes (PROs) were collected at weeks 0, 2 and 4. Results Melatonin use significantly improved mean total sleep time ( p = 0.03), with a trend towards higher sleep efficiency ( p = 0.06). No PROs were significantly different; there was a trend for melatonin use to decrease mean Insomnia Severity Index score ( p = 0.07), improve Pittsburgh Sleep Quality Index sleep quality component ( p = 0.07), and improve NeuroQoL-Fatigue ( p = 0.06). No other PROs showed differences between melatonin and placebo; nor did step count measured by actigraphy (all p > 0.45). Conclusion These results provide preliminary evidence that melatonin, a low-cost, over-the-counter supplement, could improve objective measures of sleep quality in PwMS.

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