The Relationship Between Internal Attentional Control and Sleep-Onset Latency in Elderly Adults

Abstract It is assumed that during the MSLT test, the sleep laboratory environment will be appropriately resourced to facilitate sleep. However, anecdotal evidence suggests that a variety of factors may actually hinder sleep onset, although this possibility has not been formally investigated in the literature. Thirty-four MSLT participants, who attended the sleep unit between 2018 and 2019, completed a questionnaire that was designed to test perception of sleep onset latency by asking them how easy/difficult it was for them to fall asleep on 17 items that came from four categories. The four categories were the 1. sleep unit environment, e.g. noise/ room temperature; 2. the MSLT procedure, e.g. wires/fixed nap times; 3. the MSLT staff e.g. manner/ clarity of explanations and 4. pain/distress unrelated to the test. All items were rated on a five-point Likert scale. Space was provided for written comments for each category. Overall, the relationship with staff had the greatest impact on perceived sleep onset latency. Forty-one percent of participants reported that the provision of a thorough explanation of the day’s procedure helped them fall asleep in naps. Thirty-five percent reported that their own pain and discomfort affected their ability to sleep. Light and noise had little impact. This research indicates that the staff-patient relationship plays a significant role in patient’s experience of the MSLT and may potentially affect test outcomes.

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Subjective Happiness Is Associated with Objectively Evaluated Sleep Efficiency and Heart Rate during Sleep: An Exploratory Study Using Non-Contact Sheet Sensors

Sustainability ◽

10.3390/su12114630 ◽

2020 ◽

Vol 12 (11) ◽

pp. 4630

Author(s):

Hisayoshi Okamura ◽

Kengo Mihara ◽

Akira Tsuda ◽

Toshihiro Morisaki ◽

Yoshiyuki Tanaka ◽

...

Keyword(s):

Heart Rate ◽

Sleep Onset ◽

Sleep Efficiency ◽

Sleep Onset Latency ◽

Subjective Happiness ◽

Onset Latency ◽

Lower Heart Rate ◽

Subjective Sleep ◽

Subjective Happiness Scale ◽

The Relationship

The objective of this study was to explore the relationship between subjective happiness and subjective and objective sleep. The participants were 24 healthy university students (11 males, 13 females; mean age 22.4 ± 2.1). Their subjective happiness was measured by the Japanese Subjective Happiness Scale (JSHS). Furthermore, their subjective and objective sleep evaluation was measured by Ogri-Shirakawa-Azumi sleep inventory MA version (OSA-MA) and a non-contact sheet sensor (SS). The results indicated that participants with higher subjective happiness had objectively shorter sleep onset latency, higher sleep efficiency, and lower heart rate during sleep. On the other hand, no such correlations were found between subjective sleep evaluation with OSA and subjective happiness. These results suggest that subjective happiness is related with the ability to more easily fall asleep and better sleep efficiency.

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Does the Proximity of Meals to Bedtime Influence the Sleep of Young Adults? A Cross-Sectional Survey of University Students

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17082677 ◽

2020 ◽

Vol 17 (8) ◽

pp. 2677 ◽

Cited By ~ 2

Author(s):

Nikola Chung ◽

Yu Sun Bin ◽

Peter A. Cistulli ◽

Chin Moi Chow

Keyword(s):

Young Adults ◽

Risk Factor ◽

Sleep Duration ◽

Online Survey ◽

Sleep Onset ◽

Sleep Onset Latency ◽

Onset Latency ◽

Cross Sectional ◽

Meal Timing ◽

The Relationship

Avoiding food before bedtime is a widely accepted sleep hygiene practice, yet few studies have assessed meal timing as a risk factor for disrupted sleep. This study examined the relationship between evening meal timing and sleep quality in young adults. A total of N = 793 participants (26% male) aged between 18 and 29 years responded to an online survey, which captured sociodemographic information, lifestyle variables, and sleep characteristics. Meal timing was defined as meals more than 3 h before or within 3 h of bedtime. The outcomes were as follows: one or more nocturnal awakenings, sleep onset latency of >30 min, and sleep duration of ≤6 h. Logistic regression analyses showed that eating within 3 h of bedtime was positively associated with nocturnal awakening (OR = 1.61, 95% CI = 1.15–2.27) but not long sleep onset latency (1.24; 0.89–1.73) or short sleep duration (0.79; 0.49–1.26). The relationship remained significant after adjusting for potential confounders of ethnicity and body mass index (OR = 1.43, 95% CI = 1.00–2.04). Meal timing appears to be a modifiable risk factor for nocturnal awakenings and disrupted sleep. However, this is a preliminary cross-sectional study and highlights the need for additional research on the influence of the timing of food intake on sleep.

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Melatonin in pediatric neurology

ORL ro ◽

10.26416/orl.33.4.2016.168 ◽

2016 ◽

Vol 4 (1) ◽

pp. 56-59

Author(s):

Raluca Ioana Teleanu ◽

Magdalena Sandu ◽

Eugenia Roza

Keyword(s):

European Union ◽

Food Safety ◽

Sleep Onset ◽

Sleep Onset Latency ◽

The European Union ◽

Onset Latency ◽

Entire Life ◽

Light Darkness ◽

Efficacy Studies ◽

Endogenous Melatonin

Melatonin is a hormone produced by the pineal gland during the night, as a response to the light-darkness variation. The endogenous melatonin levels have a cyclic evolution throughout the entire life. Various roles have been cited such as the in utero developement of the fetus through its action on the placenta, neurons and glial cells, a major role in the regulation of the cyrcadian rhythm, antioxidative, antiinflammatory roles, as well as celullar and umoral immunity modulation. In the European Union, exogenous melatonin has been evaluated by the European Food Safety Authority (EFSA) for reducing sleep onset latency and the conclusion was that it has efficacy studies in this regard.

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The Monday Effect Revisited: A Diary and Sleep Actigraphy Study

Sleep and Vigilance ◽

10.1007/s41782-020-00105-5 ◽

2020 ◽

Vol 4 (2) ◽

pp. 167-176

Author(s):

Achim Elfering ◽

Christin Gerhardt ◽

Diana Pereira ◽

Anna Schenker ◽

Maria U. Kottwitz

Keyword(s):

Sleep Duration ◽

Sleep Onset ◽

Monday Morning ◽

Sleep Onset Latency ◽

Onset Latency ◽

Social Stressors ◽

Monday Effect ◽

Work Related ◽

Cognitive Failure ◽

Delayed Sleep

Abstract Purpose Accidents are more likely to occur during the morning hours of Mondays (Monday effect). This might be due to a higher level of cognitive failure on Monday morning at work. Methods In a pilot actigraphy study across one working week, we explored this Monday effect and regressed daily self-reported workplace cognitive failure on weekdays (Monday versus other days), background social stressors at work, delayed sleep onset and sleep duration. Diary data were gathered from 40 full-time employees. Results Confirming our assumptions, results revealed work-related cognitive failure and sleep-onset latency on the previous night to be higher on Mondays compared to other workdays. Work-related cognitive failure correlated positively with delayed sleep-onset latency and background social stressors. In multilevel regression analysis, Monday significantly explained variations in workplace cognitive failure. The addition of background social stressors at work and sleep-onset latency to the regression model showed unique contributions to the prediction of workplace cognitive failure. No significant two-way or three-way interactions between working days, sleep-onset latency or sleep duration, and background social stressors were found. Conclusion Peak levels of cognitive failure on Monday morning and the association of cognitive failure with social stressors at work contribute to understanding the mechanisms involved in the increased prevalence of occupational accidents on Monday morning. Occupational safety interventions should address both social stressors at work and individual sleep hygiene.

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193 Sleep Variability and Affect Dynamics Among College Students during COVID-19 Pandemic

SLEEP ◽

10.1093/sleep/zsab072.192 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A78-A78

Author(s):

Zahra Mousavi ◽

Jocelyn Lai ◽

Asal Yunusova ◽

Alexander Rivera ◽

Sirui Hu ◽

...

Keyword(s):

Emerging Adults ◽

Sleep Duration ◽

Sleep Onset ◽

Positive And Negative Affect ◽

Sleep Onset Latency ◽

Deep Sleep ◽

Onset Latency ◽

Sleep Patterns ◽

Light Sleep ◽

Affect Dynamics

Abstract Introduction Sleep disturbance is a transdiagnostic risk factor that is so prevalent among emerging adults it is considered to be a public health epidemic. For emerging adults, who are already at greater risk for psychopathology, the COVID-19 pandemic has disrupted daily routines, potentially changing sleep patterns and heightening risk factors for the emergence of affective dysregulation, and consequently mood-related disturbances. This study aimed to determine whether variability in sleep patterns across a 3-month period was associated with next-day positive and negative affect, and affective dynamics, proximal affective predictors of depressive symptoms among young adults during the pandemic. Methods College student participants (N=20, 65% female, Mage=19.80, SDage=1.0) wore non-invasive wearable devices (the Oura ring https://ouraring.com/) continuously for a period of 3-months, measuring sleep onset latency, sleep efficiency, total sleep, and time spent in different stages of sleep (light, deep and rapid eye movement). Participants reported daily PA and NA using the Positive and Negative Affect Schedule on a 0-100 scale to report on their affective state. Results Multilevel models specifying a within-subject process of the relation between sleep and affect revealed that participants with higher sleep onset latency (b= -2.98, p<.01) and sleep duration on the prior day (b= -.35, p=.01) had lower PA the next day. Participants with longer light sleep duration had lower PA (b= -.28, p=.02), whereas participants with longer deep sleep duration had higher PA (b= .36, p=.02) the next day. On days with higher total sleep, participants experienced lower NA compared to their own average (b= -.01, p=.04). Follow-up exploratory bivariate correlations revealed significant associations between light sleep duration instability and higher instability in both PA and NA, whereas higher deep sleep duration was linked with lower instability in both PA and NA (all ps< .05). In the full-length paper these analyses will be probed using linear regressions controlling for relevant covariates (main effects of sleep, sex/age/ethnicity). Conclusion Sleep, an important transdiagnostic health outcome, may contribute to next-day PA and NA. Sleep patterns predict affect dynamics, which may be proximal predictors of mood disturbances. Affect dynamics may be one potential pathway through which sleep has implications for health disparities. Support (if any):

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1253 Multiple sleep onset REM episodes in middle age woman with excessive daytime sleepiness – Is this automatically assumed narcolepsy?

SLEEP ◽

10.1093/sleep/zsaa056.1247 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A477-A477

Author(s):

Kamal Patel ◽

Bianca J Lang

Keyword(s):

Daytime Sleepiness ◽

Sleep Latency ◽

Sleep Onset ◽

Sleep Time ◽

Multiple Sleep Latency Test ◽

Sleep Onset Latency ◽

Onset Latency ◽

Obstructive Sleep ◽

Falling Asleep ◽

Multiple Sleep Latency

Abstract Introduction Presence of sleep onset REM episodes often raises concerns of narcolepsy. However other conditions have shown to have presence of sleep on REM episodes which include but not limited to obstructive sleep apnea, sleep wake schedule disturbance, alcoholism, neurodegenerative disorders, depression and anxiety Report of Case Here we present a case of 30 year old female with history of asthma, patent foraman ovale, migraine headache, and anxiety who presented with daytime sleepiness, falling asleep while at work, occasional scheduled naps, non-restorative sleep, sleep paralysis, and hypnopompic hallucination. Pertinent physical exam included; mallampati score of 4/4, retrognathia, high arched hard palate, crowded posterior oropharynx. She had a score of 16 on Epworth sleepiness scale. Patient previously had multiple sleep latency test at outside facility which revealed 4/5 SOREM, with mean sleep onset latency of 11.5 minutes. She however was diagnosed with narcolepsy and tried on modafinil which she failed to tolerate. She was tried on sertraline as well which was discontinued due to lack of benefit. She had repeat multiple sleep latency test work up which revealed 2/5 SOREM, with mean sleep onset latency was 13.1 minutes. Her overnight polysomnogram prior to repeat MSLT showed SOREM with sleep onset latency of 10 minutes. Actigraphy showed consistent sleep pattern overall with sufficient sleep time but was taking hydroxyzine and herbal medication. Patient did not meet criteria for hypersomnolence disorder and sleep disordered breathing. Conclusion There is possibility her medication may have played pivotal role with her daytime symptoms. We also emphasize SOREMs can be present in other disorders such as anxiety in this case and not solely in narcolepsy

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A shower before bedtime may improve the sleep onset latency of youth soccer players

European Journal of Sport Science ◽

10.1080/17461391.2017.1346147 ◽

2017 ◽

Vol 17 (9) ◽

pp. 1119-1128 ◽

Cited By ~ 12

Author(s):

Craig Whitworth-Turner ◽

Rocco Di Michele ◽

Ian Muir ◽

Warren Gregson ◽

Barry Drust

Keyword(s):

Sleep Onset ◽

Soccer Players ◽

Sleep Onset Latency ◽

Onset Latency ◽

Youth Soccer

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Effects of High vs. Low Glycemic Index of Post-Exercise Meals on Sleep and Exercise Performance: A Randomized, Double-Blind, Counterbalanced Polysomnographic Study

Nutrients ◽

10.3390/nu10111795 ◽

2018 ◽

Vol 10 (11) ◽

pp. 1795 ◽

Cited By ~ 4

Author(s):

Angelos Vlahoyiannis ◽

George Aphamis ◽

Eleni Andreou ◽

George Samoutis ◽

Giorgos Sakkas ◽

...

Keyword(s):

Reaction Time ◽

Glycemic Index ◽

Exercise Performance ◽

Sleep Onset ◽

Interval Training ◽

Sleep Onset Latency ◽

Onset Latency ◽

Visual Reaction Time ◽

Post Exercise ◽

Visual Reaction

The aim of the current study was to investigate the effect of the glycemic index of post-exercise meals on sleep quality and quantity, and assess whether those changes could affect the next day’s exercise performance. Following a baseline/familiarization phase, 10 recreationally trained male volunteers (23.2 ± 1.8 years) underwent two double-blinded, randomized, counterbalanced crossover trials. In both trials, participants performed sprint interval training (SIT) in the evening. Post-exercise, participants consumed a meal with a high (HGI) or low (LGI) glycemic index. Sleep parameters were assessed by a full night polysomnography (PSG). The following morning, exercise performance was evaluated by the countermovement jump (CMJ) test, a visual reaction time (VRT) test and a 5-km cycling time trial (TT). Total sleep time (TST) and sleep efficiency were greater in the HGI trial compared to the LGI trial (p < 0.05), while sleep onset latency was shortened by four-fold (p < 0.05) and VRT decreased by 8.9% (p < 0.05) in the HGI trial compared to the LGI trial. The performance in both 5-km TT and CMJ did not differ between trials. A moderate to strong correlation was found between the difference in TST and the VRT between the two trials (p < 0.05). In conclusion, this is the first study to show that a high glycemic index meal, following a single spring interval training session, can improve both sleep duration and sleep efficiency, while reducing in parallel sleep onset latency. Those improvements in sleep did not affect jumping ability and aerobic endurance performance. In contrast, the visual reaction time performance increased proportionally to sleep improvements.

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