scholarly journals 1059 Sleep Parameters In People With Type 2 Diabetes With And Without Insomnia Symptoms

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A402-A403
Author(s):  
M Alshehri ◽  
A Alkathiry ◽  
A Alenazi ◽  
S Alothman ◽  
J Rucker ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Circular Data ◽  
Objective Measures ◽  
Subjective Measures ◽  
Sleep Parameters ◽  
Insomnia Symptoms

Abstract Introduction There is an increasing awareness of the high prevalence of insomnia symptoms in people with type 2 diabetes (T2D). Past studies have demonstrated the importance of measuring sleep parameters in both averages and variabilities using subjective and objective methods. Thus, we aimed to compare the averages and variability of sleep parameters in people with T2D with and without insomnia symptoms. Methods Actigraph measurements and sleep diaries were used in 59 participants to assess sleep parameters, including sleep efficiency (SE), sleep latency, total sleep time, and wake after sleep onset over seven nights. Validated instruments were used to assess the symptoms of depression, anxiety, and pain. Circular data were used to describe the distribution of bed distribution with SE as a magnitude for both groups. Mann Whitney U test was utilized to compare averages and variability of sleep parameters between the two groups. Multivariable general linear model to control for demographic and clinical variables. For the secondary aim, multiple linear regression tests were utilized to assess the association between averages and variability values for both groups. Results SE was found to be lower in average and higher in variability for participants with T2D and insomnia symptoms, than those with T2D only subjectively and objectively. SE variability was also the only sleep parameter higher in people with T2D and insomnia symptoms, with psychological symptoms potentially playing a role in this difference. We observed that people in T2D+Insomnia tend to go to bed earlier compared to the T2D only group based on objective measures, but no difference was observed between groups in subjective measures. The only significant relationship in both objective and subjective measures was between the averages and variability of SE. Conclusion Our findings suggest a discrepancy between subjective and objective measures in only average of total sleep time, as well as agreement in measures of variability in sleep parameters. Also, the relationship between averages and variabilities suggested the importance of improving SE to minimize its variability. Further research is warranted to investigate the complex relationship between sleep parameters and psychological factors in people with T2D and insomnia symptoms. Support None

scholarly journals Sleep Efficiency and Total Sleep Time in Individuals with Type 2 Diabetes with and without Insomnia Symptoms

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mohammed M. Alshehri ◽  
Abdulaziz A. Alkathiry ◽  
Aqeel M. Alenazi ◽  
Shaima A. Alothman ◽  
Jason L. Rucker ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Group Differences ◽  
Sleep Diaries ◽  
Symptoms Of Depression ◽  
Sleep Parameters ◽  
Insomnia Symptoms

There is increasing awareness of the high prevalence of insomnia symptoms in individuals with type 2 diabetes (T2D). Past studies have established the importance of measuring sleep parameters using measures of central tendency and variability. Additionally, subjective and objective methods involve different constructs due to the discrepancies between the two approaches. Therefore, this study is aimed at comparing the averages of sleep parameters in individuals with T2D with and without insomnia symptoms and comparing the variability of sleep parameters in these individuals. This study assessed the between-group differences in the averages and variability of sleep efficiency (SE) and total sleep time (TST) of 59 participants with T2D with and without insomnia symptoms. Actigraph measurements and sleep diaries were used to assess sleep parameter averages and variabilities calculated by the coefficient of variation across 7 nights. Mann–Whitney U tests were utilized to compare group differences in the outcomes. Validated instruments were used to assess the symptoms of depression, anxiety, and pain as covariates. Objective SE was found to be statistically lower on average (85.98±4.29) and highly variable (5.88±2.57) for patients with T2D and insomnia symptoms than in those with T2D only (90.23±6.44 and 3.82±2.05, respectively). The subjective average and variability of SE were also worse in patients with T2D and insomnia symptoms, with symptoms of depression, anxiety, and pain potentially playing a role in this difference. TST did not significantly differ between the groups on averages or in variability even after controlling for age and symptoms of depression, anxiety, and pain. Future studies are needed to investigate the underlying mechanisms of worse averages and variability of SE in individuals with T2D and insomnia symptoms. Additionally, prompting the associated risk factors of insomnia symptoms in individuals with T2D might be warranted.

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 Misperception of sleep in bipolar disorder: an exploratory study using questionnaire versus actigraphy

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Henrik Myhre Ihler ◽  
Manon Meyrel ◽  
Vincent Hennion ◽  
Julia Maruani ◽  
Gregory Gross ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Obstructive Sleep Apnea ◽  
Sleep Latency ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Objective Measures ◽  
Obstructive Sleep

Abstract Background The concept of misperception of sleep refers to the estimated discrepancy between subjective and objective measures of sleep. This has been assessed only in a few prior studies in individuals with Bipolar Disorder (BD) as compared to Healthy Controls (HC) and with mixed results. Methods We assessed a sample of 133 euthymic individuals with BD and 63 HC for retrospective subjective (Pittsburgh Sleep Quality Index) and objective (21 days of actigraphy recording) measures of total sleep time, sleep latency and sleep efficiency. We first investigated the correlations between these subjective and objective measures in the two groups. We then compared individuals with BD and HC for the absolute values of the differences between subjective and objective sleep parameters, used as a proxy of the magnitude of misperception of sleep. Finally, we undertook regression analyses to assess associations between clinical groups, core demographics, clinical factors and misperception of sleep. Results The correlation coefficients between subjective and objective measures of sleep did not differ between groups (total sleep time: rho = .539 in BD and rho = .584 in HC; sleep latency: rho = .190 in BD and rho = .125 in HC; sleep efficiency: rho = .166 in BD and rho = .222 in HC). Individuals with BD did not differ from HC in the magnitude of misperception of total sleep time, sleep latency nor sleep efficiency. Individuals with BD type 1 misperceived their sleep efficiency significantly more than individuals with BD type 2, with no further difference between BD type 1 and BD type 2 regarding sleep latency and sleep duration misperceptions. Three factors (age, symptoms of obstructive sleep apnea, and mild depressive symptoms), were the main contributors to the magnitude of misperception of sleep. Conclusions Misperception of sleep was not associated with a diagnosis of BD. In this sample, mild depressive symptoms, older age, or symptoms of obstructive sleep apnea may be related to greater sleep misperception. In that case, the reliability of subjective measures may decrease as the misperception of sleep increases. This study may help guide clinicians in selecting the best approach for assessing sleep (objective versus subjective measures) in individuals with BD.

scholarly journals Cognitive-behavioral therapy for insomnia in adolescents with comorbid psychiatric disorders: A clinical pilot study

2020 ◽  
Vol 25 (4) ◽  
pp. 958-971
Author(s):  
Lie Åslund ◽  
Mats Lekander ◽  
Rikard K Wicksell ◽  
Eva Henje ◽  
Susanna Jernelöv
Keyword(s):  
Psychiatric Disorders ◽  
Total Sleep Time ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Post Intervention ◽  
Insomnia Symptoms

Background: Insomnia is common in adolescents and often comorbid with psychiatric disorders. This study evaluated changes in insomnia, sleep, and comorbid symptoms following cognitive-behavioral therapy for insomnia (CBT-I) in adolescents with comorbid psychiatric disorders and chronic pain. Methods: In this non-controlled clinical pilot study, participants ( n = 23, 78% female) were recruited from adolescent psychiatry and pediatric pain clinics. Assessments of self-reported insomnia, sleep onset latency, wake after sleep onset, total sleep time, sleep efficiency and depression, anxiety, functional disability, and pain intensity were completed at pre- and post-intervention and 3 months follow-up. Results: From pre- to post-intervention, statistically significant improvements were found for insomnia symptoms ( p < .001; d = 1.63), sleep onset latency ( p < .001; d = 1.04), wake after sleep onset ( p < .001; d = 0.38), total sleep time ( p = .015; d = 0.22), sleep efficiency ( p < .001; d = 1.00), depression ( p < .001; d = 0.87), and anxiety ( p = .001; d = 0.31). Only eight participants reported data at follow-up with maintained improvements for all measures. Conclusion: This study provides support that insomnia symptoms and sleep can improve following CBT-I delivered in a clinical setting and that co-occurring psychiatric symptoms can be reduced. The results should be interpreted with caution due to the uncontrolled conditions and limited sample size. Well-powered clinical trials are needed to validate the suggested effects.

A randomized Phase 2 study to evaluate the orexin-2 receptor antagonist seltorexant in individuals with insomnia without psychiatric comorbidity

2018 ◽  
Vol 32 (6) ◽  
pp. 668-677 ◽  
Author(s):  
Peter De Boer ◽  
Wayne C Drevets ◽  
Hany Rofael ◽  
Peter van der Ark ◽  
Justine M Kent ◽  
...  
Keyword(s):  
Psychiatric Comorbidity ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Placebo Treatment ◽  
Primary Objective ◽  
Sleep Efficiency ◽  
Study Objective ◽  
Period 2 ◽  
Sleep Parameters

Background: Seltorexant is a potent and selective antagonist of the orexin-2 receptor that is being developed for the treatment of insomnia and major depressive disorder. Aims: The primary objective was to investigate the effect of seltorexant on sleep efficiency after single and multiple dose administration in subjects with insomnia disorder without psychiatric comorbidity. Secondary objectives included evaluation of total sleep time, latency to persistent sleep, and wake after sleep onset. Subjects received 40 mg of seltorexant for five days during Period 1 and placebo during Period 2 or vice versa in this randomized, two-way crossover study. Objective sleep parameters were evaluated by polysomnography over 8 h on Day 1/2 (single dose) and on Day 5/6 (multiple doses). Subjective sleep parameters were assessed by questionnaires. Results: Twenty-seven subjects completed the study. The mean changes in sleep efficiency (% (SD)) of seltorexant from placebo at Day 1/2 were 5.8 (9.2), and 7.9 (9.8) at Day 5/6 ( p < 0.001 at both time points); in total sleep time (min (SD)) 27.7 (44.3) and 37.9 (47.1), respectively; in latency to persistent sleep (min (SD)) −18.8 (21.3) and −29.9 (27.7), respectively; and in wake after sleep onset (min (SD)) −11.1 (36.4) and −11.3 (46.5). The most common adverse events were headache and somnolence. Conclusions: Sleep efficiency was increased with seltorexant treatment compared with placebo. Treatment with seltorexant resulted in a prolonged total sleep time, shorter latency to persistent sleep and wake after sleep onset. There were no unexpected safety findings.

scholarly journals Evaluating Sleep Characteristics in Intensive Care Unit and Non-Intensive Care Unit Physicians

2011 ◽  
Vol 39 (6) ◽  
pp. 1071-1075 ◽  
Author(s):  
G. Ok ◽  
H. Yilmaz ◽  
D. Tok ◽  
K. Erbüyün ◽  
S. Çoban ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Shift Work ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Latency ◽  
Total Sleep Time ◽  
Total Activity ◽  
Sleep Time ◽  
Sleep Parameters ◽  
Icu Physicians

Healthcare workers’ cognitive performances and alertness are highly vulnerable to sleep loss and circadian rhythms. The purpose of this study was to investigate the changes in sleep characteristics of intensive care unit (ICU) and non-ICU physicians. Actigraphic sleep parameters, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Hamilton Depression Rating Scale were evaluated for ICU and non-ICU physicians on the day before shift-work and on three consecutive days after shift-work. Total sleep time, sleep latency, wakefulness after sleep onset, total activity score, movement fragmentation index, sleep efficiency, daytime naps and total nap duration were also calculated by actigraph. In the ICU physicians, the mean Pittsburgh Sleep Quality Index score was significantly higher than the non-ICU physicians (P=0.001), however mean Epworth Sleepiness Scale scores were not found significantly different between the two groups. None of the scores for objective sleep parameters were statistically different between the groups when evaluated before and after shift-work (P >0.05). However in both ICU and non-ICU physicians, sleep latency was observed to be decreased within the three consecutive-day period after shift-work with respect to basal values (P <0.001). Total sleep time, total activity score and sleep efficiency scores prior to shift-work were significantly different from shift-work and the three consecutive-days after shift-work, in both groups. Working in the ICU does not have an impact on objective sleep characteristics of physicians in this study. Large cohort studies are required to determine long-term health concerns of shift-working physicians.

scholarly journals Personality Traits and Insomnia Symptoms in Shift Workers

2021 ◽  
Vol 12 ◽  
Author(s):  
Brigitte Holzinger ◽  
Lucille Mayer ◽  
Gerhard Klösch
Keyword(s):  
Sleep Quality ◽  
Personality Traits ◽  
Sleep Duration ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Work Schedule ◽  
Shift Workers ◽  
Time In Bed ◽  
Shift Schedules ◽  
Insomnia Symptoms

The discrepancy between natural sleep-wake rhythm and actual sleep times in shift workers can cause sleep loss and negative daytime consequences. Irregular shift schedules do not follow a fixed structure and change frequently, which makes them particularly harmful and makes affected individuals more susceptible to insomnia. The present study compares insomnia symptoms of non-shift workers, regular shift workers, and irregular shift workers and takes into account the moderating role of the Big Five personality traits and levels of perfectionism. Employees of an Austrian railway company completed an online survey assessing shift schedules, sleep quality and duration, daytime sleepiness, and personality traits. A total of 305 participants, of whom 111 were non-shift workers, 60 regular shift workers, and 134 irregular shift workers, made up the final sample. Irregular shift workers achieved significantly worse scores than one or both of the other groups in time in bed, total sleep time, sleep efficiency, sleep duration, sleep quality, sleep latency, and the number of awakenings. However, the values of the irregular shifts workers are still in the average range and do not indicate clinical insomnia. Participants working regular shifts reported the best sleep quality and longest sleep duration and showed the least nocturnal awakenings, possibly due to higher conscientiousness- and lower neuroticism scores in this group. Agreeableness increased the effect of work schedule on total sleep time while decreasing its effect on the amount of sleep medication taken. Perfectionism increased the effect of work schedule on time in bed and total sleep time. Generalization of results is limited due to the high percentage of males in the sample and using self-report measures only.

scholarly journals P062 Sleep parameter validation of a home-based ballistocardiograph sleep tracker

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A41-A42
Author(s):  
M Kholghi ◽  
I Szollosi ◽  
M Hollamby ◽  
D Bradford ◽  
Q Zhang
Keyword(s):  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Daily Routine ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Sleep Monitoring ◽  
Significant Discrepancy ◽  
Home Based ◽  
Wake Detection

Abstract Introduction Consumer home sleep trackers are gaining popularity for objective sleep monitoring. Amongst them, non-wearable devices have little disruption in daily routine and need little maintenance. However, the validity of their sleep outcomes needs further investigation. In this study, the accuracy of the sleep outcomes of EMFIT Quantified Sleep (QS), an unobtrusive and non-wearable ballistocardiograph sleep tracker, was evaluated by comparing it with polysomnography (PSG). Methods 62 sleep lab patients underwent a single clinical PSG and their sleep measures were simultaneously collected through PSG and EMFIT QS. Total Sleep Time (TST), Wake After Sleep Onset (WASO), Sleep Onset Latency (SOL) and average Heart Rate (HR) were compared using paired t-tests and agreement analysed using Bland-Altman plots. Results EMFIT QS data loss occurred in 47% of participants. In the remaining 33 participants (15 females, with mean age of 53.7±16.5), EMFIT QS overestimated TST by 177.5±119.4 minutes (p&lt;0.001) and underestimated WASO by 44.74±68.81 minutes (p&lt;0.001). It accurately measured average resting HR and was able to distinguish SOL with some accuracy. However, the agreement between EMFIT QS and PSG on sleep-wake detection was very low (kappa=0.13, p&lt;0.001). Discussion A consensus between PSG and EMFIT QS was found in SOL and average HR. There was a significant discrepancy and lack of consensus between the two devices in other sleep outcomes. These findings indicate that while EMFIT QS is not a credible alternative to PSG for sleep monitoring in clinical and research settings, consumers may find some benefit from longitudinal monitoring of SOL and HR.

Sign in / Sign up

Export Citation Format

Share Document