Home-EEG assessment of possible compensatory mechanisms for sleep disruption in highly irregular shift workers – The ANCHOR study

AbstractStudy objectivesWhile poor sleep quality has been related to increased risk of Alzheimer’s disease, long-time shift workers (maritime pilots) did not manifest evidence of early Alzheimer’s disease in a recent study. We explored two hypotheses of possible compensatory mechanisms for sleep disruption: Increased efficiency in generating deep sleep during workweeks (model 1) and rebound sleep during rest weeks (model 2).MethodsWe used data from ten male maritime pilots (mean age: 51.6±2.4 years) with a history of approximately 18 years of irregular shift work. Subjective sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). A single lead EEG-device was used to investigate sleep in the home/work environment, quantifying total sleep time (TST), deep sleep time (DST), and deep sleep time percentage (DST%). Using multilevel models, we studied the sleep architecture of maritime pilots over time, at the transition of a workweek to a rest week.ResultsMaritime pilots reported worse sleep quality in workweeks compared to rest weeks (PSQI=8.2±2.2 vs. 3.9±2.0; p<0.001). Model 1 showed a trend towards an increase in DST% of 0.6% per day during the workweek (p=0.08). Model 2 did not display an increase in DST% in the rest week (p=0.87).ConclusionsOur findings indicated that increased efficiency in generating deep sleep during workweeks is a more likely compensatory mechanism for sleep disruption in the maritime pilot cohort than rebound sleep during rest weeks. Compensatory mechanisms for poor sleep quality might mitigate sleep disruption-related risk of developing Alzheimer’s disease. These results should be used as a starting point for future studies including larger, more diverse populations of shift workers.

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Home-EEG assessment of possible compensatory mechanisms for sleep disruption in highly irregular shift workers – The ANCHOR study

PLoS ONE ◽

10.1371/journal.pone.0237622 ◽

2020 ◽

Vol 15 (12) ◽

pp. e0237622

Author(s):

Lara J. Mentink ◽

Jana Thomas ◽

René J. F. Melis ◽

Marcel G. M. Olde Rikkert ◽

Sebastiaan Overeem ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Sleep Quality ◽

Sleep Time ◽

Sleep Disruption ◽

Poor Sleep ◽

Deep Sleep ◽

Poor Sleep Quality ◽

Compensatory Mechanisms ◽

Shift Workers

Study objectives While poor sleep quality has been related to increased risk of Alzheimer’s disease, long-time shift workers (maritime pilots) did not manifest evidence of early Alzheimer’s disease in a recent study. We explored two hypotheses of possible compensatory mechanisms for sleep disruption: Increased efficiency in generating deep sleep during workweeks (model 1) and rebound sleep during rest weeks (model 2). Methods We used data from ten male maritime pilots (mean age: 51.6±2.4 years) with a history of approximately 18 years of irregular shift work. Subjective sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). A single lead EEG-device was used to investigate sleep in the home/work environment, quantifying total sleep time (TST), deep sleep time (DST), and deep sleep time percentage (DST%). Using multilevel models, we studied the sleep architecture of maritime pilots over time, at the transition of a workweek to a rest week. Results Maritime pilots reported worse sleep quality in workweeks compared to rest weeks (PSQI = 8.2±2.2 vs. 3.9±2.0; p<0.001). Model 1 showed a trend towards an increase in DST% of 0.6% per day during the workweek (p = 0.08). Model 2 did not display an increase in DST% in the rest week (p = 0.87). Conclusions Our findings indicated that increased efficiency in generating deep sleep during workweeks is a more likely compensatory mechanism for sleep disruption in the maritime pilot cohort than rebound sleep during rest weeks. Compensatory mechanisms for poor sleep quality might mitigate sleep disruption-related risk of developing Alzheimer’s disease. These results should be used as a starting point for future studies including larger, more diverse populations of shift workers.

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P1-344: Poor Sleep Quality is Associated with CSF Markers of Amyloid Deposition in Cognitively Healthy Adults at Risk for Alzheimer's Disease

Alzheimer s & Dementia ◽

10.1016/j.jalz.2016.06.1095 ◽

2016 ◽

Vol 12 ◽

pp. P561-P561

Author(s):

Kate E. Sprecher ◽

Henrik Zetterberg ◽

Kaj Blennow ◽

Cynthia M. Carlsson ◽

Ozioma C. Okonkwo ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

At Risk ◽

Sleep Quality ◽

Amyloid Deposition ◽

Healthy Adults ◽

Poor Sleep ◽

Poor Sleep Quality

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Sleep-Promoting Strategies

10.1093/med/9780199653461.003.0041 ◽

2014 ◽

Author(s):

Vito Fanelli ◽

Lucia Mirabella ◽

Stefano Italiano ◽

Michele Dambrosio ◽

V Marco Ranieri

Keyword(s):

Mechanical Ventilation ◽

Sleep Quality ◽

Prolonged Mechanical Ventilation ◽

Sleep Time ◽

Sleep Disruption ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Increased Risk ◽

Ventilator Synchrony ◽

Light Sleep

The architecture of sleep is profoundly altered in critically ill patients. Up to 60% of ICU survivors report poor sleep quality or sleep deprivation. Sleep in ICU patients is characterized by a longer onset and a poorer sleep efficiency, as demonstrated by the prevalence of light sleep (N1 and N2 stages), a reduction or absence of deep phase (N3 stage) and REM sleep, and increased sleep fragmentation. The amount of total sleep time (TST) in 24-hour period is generally preserved, but this reflects abnormal daytime sleep (up to the 40–50% of TST) with short periods of nocturnal sleep. Disruption of sleep architecture has deleterious consequences on the homeostasis of cardiovascular, respiratory, and nervous systems, exposing patients to an increased risk of myocardial infarction, prolonged mechanical ventilation, and cognitive dysfunction. Factors associated with sleep disruption in the ICU include noise, lighting, nursing care interventions, pain, discomfort, mechanical ventilation, medications, and delirium. Although clinical trials are lacking, potentially valuable approaches to ameliorate sleep quality in the ICU include reducing noise and pain, promoting patient ventilator synchrony, and managing delirium.

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Serotonin variations and sleep disorders among shift workers. A cross-sectional study

Toxicology and Industrial Health ◽

10.1177/07482337211033135 ◽

2021 ◽

pp. 074823372110331

Author(s):

Rehab Shehata Abdelhady Shehata ◽

Zeinab Ahmed Mohamed Nour ◽

Amul Mohamed Abdelrahim Badr ◽

Eman Mahmoud Khalifa

Keyword(s):

Sleep Quality ◽

Shift Work ◽

Night Shift ◽

Cross Sectional Study ◽

Poor Sleep ◽

Serotonin Level ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Shift Workers ◽

Blood Serotonin

Sleep disorders are prevalent occupational health problems among shift workers, especially healthcare workers with long shifts. Serotonin is a neurotransmitter related to circadian variations accompanied by shift work. A cross-sectional study was performed on 73 nurses at a tertiary hospital in Cairo, Egypt, to assess sleep quality among shift work nurses (SWNs), to determine blood serotonin level, and its relation to shift work and sleep quality. A demographic and occupational history questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and measurement of blood serotonin were carried out to the studied group. The data were analyzed using SPSS 25, and descriptive statistics, unpaired t-test, ANOVA, Kruskal–Wallis Test, Chi-square, Spearman correlation, and multivariate regression analysis were utilized. The results showed that the mean PSQI global score was significantly higher among SWNs than non-shift work nurses (NSWNs) and was the highest (10.32 ± 3.56 and 10.22 ± 2.4, respectively) among rotatory and fixed night shift nurses. Blood serotonin showed highly significant differences between SWNs over NSWNs ( p = 0.001), and mostly reduced among rotatory and fixed night shift nurses (66.7% and 65%, respectively). Moreover, there were highly significant differences in serotonin levels between poor and good sleep quality nurses ( p < 0.001), and most of the poor sleep quality nurses (62.7%) had low serotonin levels. Abnormal serotonin level (odds = 246.5) and working years (odds = 1.2) were statistically significant predictors of poor sleep quality. In conclusion, SWNs, especially rotating and night shift nurses, suffer from poor sleep quality associated with abnormal levels of blood serotonin.

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Relationshp Between Sleep Quality, Mood State, and Performance of Elite Air-Rifle Shooters

10.21203/rs.3.rs-1145112/v1 ◽

2021 ◽

Author(s):

Jiaojiao Lu ◽

Yan An ◽

Jun Qiu

Keyword(s):

Sleep Quality ◽

Mood State ◽

Sleep Latency ◽

Sleep Time ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Somatic Anxiety ◽

And Performance ◽

Air Rifle ◽

Good Sleep

Abstract Background To evaluate the impact of pre-competition sleep quality on the mood and performance of elite air-rifle shooters. Methods This study included 23 elite air-rifle shooters who participated in an air-rifle shooting-competition from April 2019 to October 2019. Sleep time, sleep efficiency, sleep latency, and wake-up time after sleep onset were monitored using actigraphy. The Pittsburgh sleep quality index and Profile of Mood State were used to assess sleep quality. Competitive State Anxiety Inventory-2 was used to evaluate mood state. Results The average time to fall asleep, sleep time, sleep efficiency, and subjective sleep quality were 20.6 ± 14.9 min, 7.0 ± 0.8 h, 85.9 ± 5.3%, and 5.2 ± 2.2, respectively. Sleep quality decreased as the competition progressed. Pre-competition sleep time in female athletes was significantly higher than that on the competition day (P = 0.05). Pre-competition sleep latency was significantly longer in women than in men (P = 0.021). During training and pre-competition, the tension, fatigue, depression, and emotional disturbance were significantly lower in athletes with good sleep quality than in athletes with poor sleep quality. Athletes with good sleep quality had significantly more energy. The PSQI total score was positively correlated with positive emotion, TMD, cognitive anxiety, and somatic anxiety POMS scores, and negatively correlated with energy and self-confidence scores. Race scores and depression and somatic anxiety scores were negatively correlated. Conclusion Poor sleep quality negatively impacted the mood of athletes; however, sleep indices and competition performance of athletes during competitions were not significantly correlated.

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Assessing the impact of daylight exposure on sleep quality of people over 65 years old

Building Services Engineering Research and Technology ◽

10.1177/0143624419899522 ◽

2020 ◽

Vol 41 (2) ◽

pp. 183-192

Author(s):

Lorna Flores-Villa ◽

Jemima Unwin ◽

Peter Raynham

Keyword(s):

Sleep Quality ◽

Elderly Population ◽

The Elderly ◽

Physical Activities ◽

Sleep Disruption ◽

Poor Sleep ◽

Ageing Population ◽

Poor Sleep Quality ◽

Daylight Exposure ◽

The Impact

Due to our social behaviours, people spend at least 80% of their time indoors, mostly under artificial light. In research and building design, daylight is considered a valuable asset because it is the primary source of free, good quality light and it is suggested that it has a positive influence on human performance, health and sleep quality. There is a tendency in the population for increasingly poor sleep quality with age, and this affects at least 50% of the elderly population. Research on sleep disruption has found that especially in the elderly population, interrupted sleep can affect alertness, cognitive performance and mood. This increases the risk of falls, increases fatigue and reduces some other mental functions. Exposure to daylight (indoors and outdoors) is expected to reduce sleep disruption. Physical activities and sleep quality were assessed using 32 participants living independently in the UK, aged between 65 and 95 years old. The study was divided into two seasons due to a considerable difference in daylight availability in summer and winter. In each season participants completed the Pittsburgh Sleep Quality Index (PSQI) questionnaire, Morningness–Eveningness Questionnaire (MEQ) and a seven-day sleep diary/log activity; where time spent outdoors was identified. It was expected that participants who reported less exposure to daylight during summer and winter would report worse sleep quality. However, this was not the case; subjective sleep quality did not differ greatly between summer and winter, even though exposure to daylight varies greatly between seasons. This study explores the relationship between exposure to daylight throughout two different seasons and people’s chronotypes, physical activities and sleep quality (between and within participants). This information is essential to find means of supporting an ageing population. Practical applications: In the built environment, daylight is an important feature to consider for the occupant’s health and wellbeing. This research provides real-world insight into the amount of daylight that active aged people are exposed to during two seasons in London, and how this could impact their overall sleep quality. The findings suggest that exposure to daylight could benefit people over 65 years old with poor sleep quality by reducing the number of awakenings during the night. This research provides a step towards understanding how daylight exposure effects people, and can be used to inform housing design for the ageing population.

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Effect of kidney transplantation on sleep quality in patients admitted in ICU:a cross-section study in China

10.21203/rs.2.17473/v1 ◽

2019 ◽

Author(s):

Lu Long ◽

Jia Liu ◽

Jin Yan ◽

Jian fei Xie ◽

Huan Liu ◽

...

Keyword(s):

Kidney Transplantation ◽

Sleep Quality ◽

Linear Regression Analysis ◽

Sleep Onset ◽

Sleep Time ◽

Middle Level ◽

Sleep Disruption ◽

Poor Sleep ◽

Subjective Sleep Quality ◽

Subjective Sleep

Abstract Background Although evidences showed that sleep disorder is common in patient with end stage renal disease (ESRD), less is known about their sleep quality after early post-kidney transplantation (kTx) especially in Intensive Care Unite (ICU). Thus, the purpose of this study is to investigate sleep quality of kTx recipients in ICU and explore factors related poor sleep, second, to measure the correlation of subjective sleep quality and sleep architecture assessed by PSG in kTx recipients. Methods This study recruited participants from ESRD patients registered in transplantation waiting list at the third xiangya hospital of central south university in China. Participants required to complete the Pittsburgh sleep quality index(PSQI) and demographic questionnaire as baseline data and received one night of Polysomnography (PSG) in the ICU within 96 hours of surgery, during which time sound and light data were monitored. After that Richards Campbell sleep questionnaires (RCSQ) also need completed. Results 26 participants self-reported sleep quality and sleep efficiency based on RCSQ was at middle level (49.2 ± 25.6mm), and 14/26(53.8%) kTx recipients in ICU were poor sleepers defined by RCSQ <50. PSG showed that most kTx recipients in ICU had shallow sleep with mainly stage 2 sleep time (80.90 ±70.10 min), lower total sleep time (136.50 ±86.41 min), higher awakening frequency after sleep onset (8.87 ±5.92 times) and long awaken time (94.67 ±75.09 min) when a sleep disruption occured. multiple linear regression analysis showed that self-reported noise and pain were the significant factor affecting sleep(P < 0.05).Conclusion Subjective sleep quality based on RCSQ scored better than objective one measured by PSG in kTx recipients, sleep disruption always remained a substantial problem and affected by self-reported noise and pain.

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Re: Pastuszak et al.: Poor Sleep Quality Predicts Hypogonadal Symptoms and Sexual Dysfunction in Male Nonstandard Shift Workers: Methodological Issues to Avoid Prediction Fallacy (Urology 2017;102:121-125)

Urology ◽

10.1016/j.urology.2016.12.059 ◽

2017 ◽

Vol 103 ◽

pp. 277-278

Author(s):

Reza Pakzad ◽

Saeid Safiri

Keyword(s):

Sexual Dysfunction ◽

Sleep Quality ◽

Poor Sleep ◽

Methodological Issues ◽

Poor Sleep Quality ◽

Shift Workers

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

BMC Geriatrics ◽

10.1186/s12877-019-1407-5 ◽

2020 ◽

Vol 20 (1) ◽

Cited By ~ 3

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.

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