Having a Regular Sleep Schedule

2018 ◽  
pp. 59-69
Author(s):  
Yujin Lee ◽  
Jun Soo Kwon
Keyword(s):  
Sleep Schedule

scholarly journals Confinement, partial sleep deprivation and defined physical activity–influence on cardiorespiratory regulation and capacity

2021 ◽  
Author(s):  
Jessica Koschate ◽  
Uwe Drescher ◽  
Uwe Hoffmann
Keyword(s):  
Physical Activity ◽  
Cardiorespiratory Fitness ◽  
Space Mission ◽  
Cycle Ergometer ◽  
Work Rate ◽  
Binary Sequences ◽  
Kinetics Parameters ◽  
Slow Heart Rate ◽  
Partial Sleep Deprivation ◽  
Sleep Schedule

Abstract Introduction Adequate cardiorespiratory fitness is of utmost importance during spaceflight and should be assessable via moderate work rate intensities, e.g., using kinetics parameters. The combination of restricted sleep, and defined physical exercise during a 45-day simulated space mission is expected to slow heart rate (HR) kinetics without changes in oxygen uptake ($${\dot{\text{V}}\text{O}}_{{2}}$$ V ˙ O 2 ) kinetics. Methods Overall, 14 crew members (9 males, 5 females, 37 ± 7 yrs, 23.4 ± 3.5 kg m−2) simulated a 45-d-mission to an asteroid. During the mission, the sleep schedule included 5 nights of 5 h and 2 nights of 8 h sleep. The crew members were tested on a cycle ergometer, using pseudo-random binary sequences, changing between 30 and 80 W on day 8 before (MD-8), day 22 (MD22) and 42 (MD42) after the beginning and day 4 (MD + 4) following the end of the mission. Kinetics information was assessed using the maxima of cross-correlation functions (CCFmax). Higher CCFmax indicates faster responses. Results CCFmax(HR) was significantly (p = 0.008) slower at MD-8 (0.30 ± 0.06) compared with MD22 (0.36 ± 0.06), MD42 (0.38 ± 0.06) and MD + 4 (0.35 ± 0.06). Mean HR values during the different work rate steps were higher at MD-8 and MD + 4 compared to MD22 and MD42 (p < 0.001). Discussion The physical training during the mission accelerated HR kinetics, but had no impact on mean HR values post mission. Thus, HR kinetics seem to be sensitive to changes in cardiorespiratory fitness and may be a valuable parameter to monitor fitness. Kinetics and capacities adapt independently in response to confinement in combination with defined physical activity and sleep.

scholarly journals 0570 Apnea-Hypopnea Index is Positively Correlated with Mood Disturbance

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A218-A219
Author(s):  
K M Stubbers ◽  
S S Thosar ◽  
M P Butler ◽  
N P Bowles ◽  
A W McHill ◽  
...  
Keyword(s):  
Diagnostic Criteria ◽  
Mood State ◽  
Mood Disturbance ◽  
Apnea Hypopnea Index ◽  
Uncomplicated Hypertension ◽  
Total Mood Disturbance ◽  
Obstructive Sleep ◽  
Sleep Schedule ◽  
The Relationship ◽  
Larger Sample

Abstract Introduction The prevalence of mood disorders such as depression is higher in individuals with obstructive sleep apnea (OSA). Previous studies have found no significant correlation between the apnea-hypopnea index (AHI) and measures of mood and have only included participants who met diagnostic criteria for OSA. The current analysis sought to determine whether mood correlated with AHI in individuals with any AHI values including those that did not meet diagnostic criteria for OSA. Methods 31 volunteers were studied (BMI=29.2±1.0 kg/m2, mean±SE), free from medication and without psychiatric illness or chronic medical conditions with the exception of untreated OSA, uncomplicated hypertension (BP&lt;160/100), or obesity. Following 1-3 weeks of an 8h habitual at home sleep schedule, participants completed the POMS-Brief questionnaire (POMS-B) to assess mood after undergoing overnight polysomnography to determine AHI. Total mood disturbance (TMD) scores were calculated by adding the scores on the POMS-B for each mood state subscale and subtracting the score for vigor-activity. Results The average AHI was 15.3±3.1 (range of 1.1-74.1) events per hour. The average POMS-B TMD score was 21±1.5 (range of 4-46). There was a significant correlation between the POMS-B TMD score and AHI (p=0.037, r2=0.14). This result was also seen in only those individuals with AHI scores &gt;5 (p=0.002, r2=0.4). Conclusion In this sample, individuals with higher AHI values displayed higher TMD scores. These results differ from previous data that showed no significant correlation between AHI and TMD. This is the first analysis to demonstrate a correlation between TMD and AHI while including individuals who didn’t meet diagnostic criteria for OSA. However, the relationship between AHI and TMD was also significant in those with AHI&gt;5. More data on these measures with larger sample sizes and a more equal representation of AHI values should be gathered to provide additional evidence for this relationship. Support: Support NIH R01-HL125893; CTSA UL1TR000128, R21HL140377

Physical exercise accelerates reentrainment of human sleep-wake cycle but not of plasma melatonin rhythm to 8-h phase-advanced sleep schedule

2010 ◽  
Vol 298 (3) ◽  
pp. R681-R691 ◽  
Author(s):  
Yujiro Yamanaka ◽  
Satoko Hashimoto ◽  
Yusuke Tanahashi ◽  
Shin-ya Nishide ◽  
Sato Honma ◽  
...  
Keyword(s):  
Circadian Rhythms ◽  
Physical Exercise ◽  
Sleep Onset ◽  
Exercise Group ◽  
Control Group ◽  
Temporal Isolation ◽  
Melatonin Rhythm ◽  
Plasma Melatonin ◽  
Shift Schedule ◽  
Sleep Schedule

Effects of timed physical exercise were examined on the reentrainment of sleep-wake cycle and circadian rhythms to an 8-h phase-advanced sleep schedule. Seventeen male adults spent 12 days in a temporal isolation facility with dim light conditions (<10 lux). The sleep schedule was phase-advanced by 8 h from their habitual sleep times for 4 days, which was followed by a free-run session for 6 days, during which the subjects were deprived of time cues. During the shift schedule, the exercise group ( n = 9) performed physical exercise with a bicycle ergometer in the early and middle waking period for 2 h each. The control group ( n = 8) sat on a chair at those times. Their sleep-wake cycles were monitored every day by polysomnography and/or weight sensor equipped with a bed. The circadian rhythm in plasma melatonin was measured on the baseline day before phase shift: on the 4th day of shift schedule and the 5th day of free-run. As a result, the sleep-onset on the first day of free-run in the exercise group was significantly phase-advanced from that in the control and from the baseline. On the other hand, the circadian melatonin rhythm was significantly phase-delayed in the both groups, showing internal desynchronization of the circadian rhythms. The sleep-wake cycle resynchronized to the melatonin rhythm by either phase-advance or phase-delay shifts in the free-run session. These findings indicate that the reentrainment of the sleep-wake cycle to a phase-advanced schedule occurs independent of the circadian pacemaker and is accelerated by timed physical exercise.

The Functional Impact of Sleep Disorders in Children With ADHD

2017 ◽  
Vol 24 (4) ◽  
pp. 499-508 ◽  
Author(s):  
Stephanie G. Craig ◽  
Margaret D. Weiss ◽  
Kristen L. Hudec ◽  
Christopher Gibbins
Keyword(s):  
Sleep Disorders ◽  
Functional Impairment ◽  
Rating Scale ◽  
Sleep Problems ◽  
Parent Report ◽  
Adhd Symptoms ◽  
Children With Adhd ◽  
Sleep Complaints ◽  
Sleep Schedule

Objective: Children with ADHD display higher rates of sleep problems, and both sleep disorders and ADHD have been shown to affect functioning in childhood. The current study examines the frequency and relationship between sleep problems and ADHD, and their impact on quality of life (QoL) and functional impairment. Method: Parents of 192 children with ADHD ( M = 10.23 years) completed measures regarding their child’s ADHD symptoms (Swanson, Nolan and Pelham [SNAP]), sleep disorders (Pediatric Sleep Questionnaire [PSQ]), QoL (Child Health Illness Profile [CHIP-PE]), and functioning (Weiss Functional Impairment Rating Scale–Parent Report [WFIRS-P]). Results: Common sleep complaints in participants were insomnia, excessive daytime sleepiness (EDS), and variability in sleep schedule. Regression analysis indicated that sleep problems and ADHD symptoms independently predicted lower levels of QoL (Δ R2 = .12, p < .001) and social functioning (Δ R2 = .12, p < .001). Conclusion: The results suggest that ADHD may coexist with somnolence and that both conditions have a significant impact on a child’s functioning and QoL.

scholarly journals Role of Nutritive Factors in Infants Sleep Management

2021 ◽  
pp. 20-24
Author(s):  
Tatiana V. Turti ◽  
Irina A. Belyaeva ◽  
Elena P. Bombardirova ◽  
Pavel E. Sadchikov ◽  
Alexander Y. Nagonov
Keyword(s):  
Intestinal Microbiota ◽  
The Body ◽  
Individual Development ◽  
Factors Affecting ◽  
Sleep Management ◽  
Nocturnal Awakening ◽  
Sleep Schedule ◽  
Functional Components ◽  
Crucial Part

The organized infant’s sleep schedule is the crucial part of normal individual development. On the contrary, restless sleep, nocturnal awakening, long wakefulness can lead to deviations in physical, psychomotor, and cognitive development. Feeding schedule organized according to the time of a day and circadian rhythms (chrono-nutrition concept) can be useful for prevention and correction of such disorders. You are aware of the effect of such factors as feeding before night's sleep, nutrition at dark time of a day, diet enriched with triptophane and nucleotides, on the maturation and consolidation of infants sleep. The correlation between intestinal microbiota and factors affecting the circadian and metabolic activity of the body are presented: day-night cycles, sleep and wake, diet and nutrition. Targeted regulation of the intestinal microbiota through products enriched with functional components (prebiotics) can lead to the development of healthy sleep in infants via axis “brain – intestine – microbiota”.

An Older Woman with an Irregular Sleep Schedule

2015 ◽  
pp. 643-646
Author(s):  
Richard B. Berry ◽  
Mary H. Wagner
Keyword(s):  
Older Woman ◽  
Sleep Schedule

scholarly journals 0409 The Efficacy of Afternoon-Evening Sleep Following Night Shifts on Sleep and Alertness in Nurses with Rotating Shift Work Schedule: Real World Data

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A156-A157
Author(s):  
J Kim ◽  
S Han ◽  
S Kim ◽  
J Duffy
Keyword(s):  
Sleep Duration ◽  
Shift Work ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Hospital Nurses ◽  
Sleep Timing ◽  
Time In Bed ◽  
Shift Schedules ◽  
Sleep Schedule ◽  
Night Shifts

Abstract Introduction The aim of this study was to investigate the efficacy of changing sleep timing to afternoon-evening following nightshifts in hospital nurses with three rapid rotating shift schedules. Methods Hospital nurses with three rotating shift schedules were enrolled for a 1-month pre-intervention and a 1-month intervention study. During the Intervention, sleep timing following nightshifts was directed to afternoon-evening sleep for 8h time-in-bed (TIB) after 1 PM, and ad-lib sleep schedule for other shifts. Baseline and follow-up evaluation included sleep schedule, sleep duration, Epworth sleepiness scale (ESS), insomnia severity index (ISI) for each shift, Beck depression inventory (BDI), and Beck anxiety inventory (BAI). Sleep was assessed by sleep diary and actigraphy. Alertness during the night shift was evaluated using the Karolinska sleepiness scale (KSS) in the beginning and at the end of the shift by texts sent to their cell phones. The participants were asked to give feedback and a willingness to continue this intervention. Results A total of 26 subjects (30.7±8.5years, 25 female) finished the study among 29 nurses who participated in the study. The shift work was 6.5±8.0years. The mean morningness-eveningness scale was 42.1±8.0(31-62). TIB following nightshifts were 379.9±91.2 and 478.4±48.7 min for preintervention and intervention, respectively (p=0.001). Total sleep time (TST) was 328.0±91.0 vs. 361.0±70.4min, respectively following nightshifts (p=0.187, Cohen’s drm = 0.467). BDI, BAI, ESS, and ISI were significantly improved after the intervention. 60.7% and 49% of the participants reported improved alertness, and work efficiency during the nightshift. 17.9% and 42.9% of the participants reported increased sleep duration, and improved sleep quality after nightshift, respectively. Only eight participants were willing to continue the afternoon-evening sleep schedule following night shifts. KSS was not different between pre-intervention and intervention. Conclusion The afternoon-evening sleep schedule modestly increased total sleep time following nightshift. The overall mood, sleepiness and insomnia scale improved after the intervention although the alertness assessed by KSS failed to show the difference. The individual difference should be considered for applying afternoon-evening sleep for rapid rotating shift schedules. Support 2018 Research award grants from the Korean sleep research society and NRF-2019R1A2C1090643 funded by the Korean national research foundation

scholarly journals Intraindividual variability in sleep schedule: effects of an internet-based cognitive-behavioral therapy for insomnia program and its relation with symptom remission

SLEEP ◽  
2020 ◽  
Vol 43 (12) ◽  
Author(s):  
Kelly M Shaffer ◽  
Donald Hedeker ◽  
Charles M Morin ◽  
Karen Ingersoll ◽  
Frances Thorndike ◽  
...  
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Treatment Response ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Intraindividual Variability ◽  
Insomnia Symptom ◽  
Symptom Remission ◽  
Sleep Schedule ◽  
Post Assessment ◽  
Rising Time

Abstract Study Objectives Sleep schedule consistency is fundamental to cognitive-behavioral therapy for insomnia (CBT-I), although there is limited evidence suggesting whether it predicts treatment response. This analysis tested whether: (1) an Internet-based CBT-I program affects intraindividual variability (IIV) in sleep schedule and (2) sleep schedule IIV predicts insomnia symptom remission. Methods This secondary analysis compares participants (N = 303) randomized to an Internet-based CBT-I program (SHUTi—Sleep Healthy Using the Internet) or Internet-based patient education (PE). Participants reported daily bedtimes and rising times on 10 online sleep diaries collected over 2 weeks at baseline and 9-week post-intervention assessment. Participants completed the Insomnia Severity Index (ISI) at post-assessment and 6-month follow-up; symptom remission was defined by ISI &lt; 8. Mixed effects location scale modeling was used to examine the effect of SHUTi on bedtime and rising time IIV; a novel two-staged analysis examined the effect of bedtime and rising time IIV on insomnia symptom remission. Results At post-assessment, SHUTi participants reported about 30% less bedtime and 32% less rising time variability compared to PE (ps &lt; 0.03). Bedtime and rising time IIV was not independently associated with likelihood of insomnia symptom remission at the subsequent time point (ps &gt; 0.18), nor did sleep schedule IIV moderate treatment response (ps &gt; 0.12). Conclusions Findings demonstrate that an Internet-delivered CBT-I program can effectively increase users’ sleep schedule consistency relative to an educational control. This consistency, however, was not related to treatment outcome when defined by insomnia symptom remission, suggesting that enforcing rigid sleep schedules for patients may not be necessary for treatment success. Clinical Trial Registration NCT00328250

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