scholarly journals Short-Term Effects of Electroconvulsive Therapy on Subjective and Actigraphy-Assessed Sleep Parameters in Severely Depressed Inpatients

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Alexander Hoogerhoud ◽  
Andreia W. P. Hazewinkel ◽  
Robert H. A. M. Reijntjens ◽  
Irene M. van Vliet ◽  
Martijn S. van Noorden ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Sleep Disturbances ◽  
Sleep Time ◽  
Short Term ◽  
Electroconvulsive Treatment ◽  
Subjective Sleep ◽  
Depressed Patients ◽  
Sleep Parameters ◽  
Response Task ◽  
Short Term Effects

Background. Sleep disturbances are a key feature of major depression. Electroconvulsive treatment (ECT) may improve polysomnography-assessed sleep characteristics, but its short-term effects on actigraphy-assessed and subjective sleep characteristics are unknown. We therefore aimed to assess the effects of ECT on subjective and objective sleep parameters in a proof-of-principle study.Methods. We assessed subjective and objective sleep parameters in 12 severely depressed patients up to 5 consecutive days during their ECT course, corresponding to a total of 43 nights (including 19 ECT sessions). The 12 patients were 83% female and on average 62 (standard deviation (SD) 14) years old and had an average MADRS score of 40 at baseline (SD 21).Results. Subjective and objective sleep parameters were not directly affected by ECT. The subjective sleep efficiency parameter was similar on the day after ECT and other days. ECT did not affect the number of errors in the Sustained Attention to Response Task. Patients subjectively underestimated their total sleep time by 1.4 hours (P<0.001) compared to actigraphy-assessed sleep duration.Conclusion. ECT did not affect subjective and actigraphy-assessed sleep in the short term. Depressed patients profoundly underestimated their sleep duration.

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.

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 0845 The Difference in Sleep Characteristics of Chronic Insomnia Disorder According to Gender and Age

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A322-A322
Author(s):  
J Hong ◽  
H Lee ◽  
I Yoon
Keyword(s):  
Sleep Quality ◽  
The Elderly ◽  
Sleep Time ◽  
Chronic Insomnia ◽  
Middle Aged ◽  
Subjective Sleep ◽  
Time In Bed ◽  
Insomnia Disorder ◽  
Gender And Age ◽  
Sleep Parameters

Abstract Introduction Impacts of age and gender on sleep have been reported in normal population, but rarely in chronic insomnia disorder (CID). This study aimed to investigate difference in sleep characteristics of CID according to gender and age. Methods The participants with drug-naïve CID and aged between 40 and 79 years were recruited. We compared subjective and objective sleep parameters between the middle-aged (40-64 years, N=86) and the elderly (65-79 years, N=50), and between men (N=45) and women (N=91). The subjective sleep quality and habitual sleep time were measured by Pittsburgh Sleep Quality Index (PSQI). The participants were asked to wear an actigraph for 4 days to obtain objective sleep parameters. Results In the PSQI, the elderly reported earlier bedtime and wake-up time (p=0.018; p=0.026), reduced total sleep time (TST) and sleep efficiency (p=0.003; p=0.011), and low sleep quality (p=0.034) compared to the middle-aged. However, according to the actigraphy, differences were observed only in the bedtime (p=0.016) and the wake-up time (p=0.002) between the two age groups. Between genders, the actigraphy showed that the male patients woke up earlier than the female group (p=0.015); except for this finding, there was no significant gender effect. Meanwhile, regarding gender and age interactions, the elderly women with CID showed longer time in bed (TIB) with increase in both TST and wake after sleep onset (WASO) compared to the middle-aged women. The elderly men showed decreased TIB and TST, and slightly decreased WASO than the middle-aged men. Conclusion The elderly with CID show more subjective sleep complaints than the middle-aged CID despite little difference in objective sleep characteristics, which suggests that the elderly CID may seek medical help more than the middle aged. As women with CID get older, they increase time spent in bed to maintain sleep time, but with resultant increase in wake. Support None

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.

"Utilization of smart thermostat data at the population level to identify sleep parameters and time spent at home" (Preprint)

2021 ◽  
Author(s):  
Niloofar Jalali ◽  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Plinio Pelegrini Morita
Keyword(s):  
Sleep Duration ◽  
Smart Home ◽  
Population Level ◽  
Sleep Time ◽  
Sleep Patterns ◽  
Level Data ◽  
Sleep Parameters ◽  
Reported Data ◽  
Smart Thermostat ◽  
At Home

BACKGROUND Sleep behaviour and time spent at home are important determinants of human health. Research on sleep patterns has traditionally relied on self-reported data. This methodology suffers from bias and population-level data collection is challenging. Advances in Smart Home technology and the Internet of Things (IoT) have the potential to overcome these challenges to behavioural monitoring. OBJECTIVE The objective of this study is to evaluate the use of smart home thermostat data to evaluate household sleep patterns and the time spent at home, and how these behaviours are influenced by weekday, seasonal and seasonal weekday variations. METHODS The 2018 ecobee "Donate your Data" dataset for 481 North American households was collected for use in this study. Daily sleep cycles were identified based on sensor activation and used to quantify sleep time, wake-up time, sleep duration, and time spent at home. Each household's record was divided into different subsets based on seasonal, weekday, and seasonal weekday scales. RESULTS Overall, our results indicate that sleep parameters (sleep time, wake-up time, and sleep duration) were significantly influenced by the day of the week but were not strongly affected by season. In contrast, time spent at home was dependent on both weekdays and the season. CONCLUSIONS This is the first study to utilize smart home thermostat data to monitor sleep parameters and time spent at home and their dependence on weekdays, seasonal, and seasonal weekday variations at the population level. This type of analysis can influence and report on public health policy at the population level.

Do nocturnal headaches matter? A prospective diary study on subjective sleep parameters in snorers and their bed partners

Cephalalgia ◽  
2013 ◽  
Vol 34 (7) ◽  
pp. 533-539
Author(s):  
Stefan Seidel ◽  
Sophie Frantal ◽  
Sabine Salhofer-Polanyi ◽  
Doris Lieba-Samal ◽  
Josef Zeitlhofer ◽  
...  
Keyword(s):  
Negative Impact ◽  
Sleep Time ◽  
Subjective Quality ◽  
Sleep Diary ◽  
Semistructured Interview ◽  
Quality Of Sleep ◽  
Subjective Sleep ◽  
Female Predominance ◽  
Sleep Parameters

Background The objective of this study was to assess the influence of nocturnal headaches (NH) on subjective sleep parameters prospectively in habitual snorers and their bed partners. Methods We recruited habitual snorers and their bed partners via newspaper articles. The participants completed a semistructured interview, filled in questionnaires about quality of sleep (PSQI), daytime sleepiness (ESS), depression (SDS) and anxiety (SAS) and they kept a 90-day headache and sleep diary. Results Seventy-six snorers (25 female) and 41 bed partners (31 female) completed the study recording a total of 6690 and 3497 diary days, respectively. NH were recorded on 222 (3.3%) and 79 (2.2%) days in 32 (42%) snorers and 17 (41%) bed partners, respectively. Snorers with NH showed significantly higher PSQI (5 ± 3 vs. 4 ± 2, p = 0.004), SAS (38 ± 11 vs. 31 ± 10, p = 0.011) and SDS scores (39 ± 12 vs. 34 ± 10, p = 0.048) than snorers without NH. For bed partners with NH we found a significant female predominance (sex ratio f:m = 16:1 vs. 12:12, p = 0.005) and significantly higher SAS scores (38 ± 6 vs. 33 ± 8, p = 0.030) compared with bed partners without NH. The subjective quality of sleep in habitual snorers ( p < 0.001) as well as their bed partners ( p = 0.017) was negatively influenced by NH, but not total sleep time. Discussion NH occurred in around 40% of snorers and their bed partners at least once during the 90-day observation period. Our results confirmed a negative impact on the subjective quality of sleep in both groups.

scholarly journals Associations of sleep quality and sleep duration with frailty and pre-frailty in an elderly population Rugao longevity and ageing study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xue-Hui Sun ◽  
Teng Ma ◽  
Shun Yao ◽  
Ze-Kun Chen ◽  
Wen-Dong Xu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Elderly Population ◽  
Sleep Time ◽  
Community Dwelling ◽  
Poor Sleep ◽  
Night Sleep ◽  
Poor Sleep Quality ◽  
Logistic Regression Models

Abstract Background Previous studies suggest that poor sleep quality or abnormal sleep duration may be associated with frailty. Here we test the associations of sleep disturbances with both frailty and pre-frailty in an elderly population. Methods Participants included 1726 community-dwelling elders aged 70–87 years. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep disturbances. Frailty was defined using phenotype criteria. Logistic regression models were used to estimate odds ratio of the associations. Results The average PSQI score was 5.4 (SD, 3.1). Overall 43.6% of the participants had poor sleep quality (PSQI> 5), 8.2% had night sleep time ≤ 5 h, and 27.8% had night sleep time ≥ 9 h. The prevalence of frailty and pre-frailty was 9.2 and 52.8%, respectively. The proportions of PSQI> 5 increased with the severity of frailty status (robust: pre-frail: frail, 34.5%: 48%: 56.1%, P < 0.001). After adjustment for multiple potential confounders, poor sleep quality (PSQI> 5) was associated with higher odds of frailty (OR = 1.78, 95% CI 1.19–2.66) and pre-frailty (OR = 1.51, 95% CI 1.20–1.90). Sleep latency, sleep disturbance, and daytime dysfunction components of PSQI measurements were also associated with frailty and pre-frailty. In addition, sleep time 9 h/night was associated with higher odds of frailty and pre-frailty. Conclusions We provided preliminary evidences that poor sleep quality and prolonged sleep duration were associated with being frailty and pre-frailty in an elderly population aged 70–87 years. The associations need to be validated in other elderly populations.

scholarly journals Working multiple jobs over a day or a week: Short-term effects on sleep duration

2016 ◽  
Vol 33 (6) ◽  
pp. 630-649 ◽  
Author(s):  
Helen R. Marucci-Wellman ◽  
David A. Lombardi ◽  
Joanna L. Willetts
Keyword(s):  
Sleep Duration ◽  
Short Term ◽  
Short Term Effects
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