scholarly journals 0264 Childhood Adversity And Adult Sleep: The Role Of Deprivation And Threat

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A108-A108
Author(s):  
Matthew R Cribbet ◽  
Paula G Williams ◽  
Ruben Tinajero ◽  
Holly K Rau
Keyword(s):  
Alcohol Use ◽  
Sleep Quality ◽  
Sleep Onset ◽  
Childhood Adversity ◽  
Equation Modeling ◽  
Sleep Onset Latency ◽  
Adult Health ◽  
Wrist Actigraphy ◽  
Physical Neglect ◽  
Restorative Sleep

Abstract Introduction There are robust associations between childhood adversity (CA) and poor physical health in adulthood. Sleep is a possible mechanism linking CA to adult health. The prevailing approach for testing associations between CA and adult sleep offers little insight into which aspects of CA are related to specific sleep outcomes. To better understand associations between CA and adult sleep outcomes, we tested a conceptual model that distinguishes between threat (e.g. physical, emotional and sexual abuse), and deprivation (e.g. emotional and physical neglect). Methods Participants (N= 79; Mage = 27.48(SD=6.53); 68% Female) were screened for insomnia disorder, mental health conditions and physical illnesses. Participants completed demographic and depressive symptom measures, along with the Childhood Trauma Questionnaire, a self-report retrospective measure that captures dimensions of threat and deprivation. Sleep duration, latency, efficiency, wake after sleep onset (WASO), and secondary sleep onset latency (SSOL) were averaged across 3 consecutive days of wrist actigraphy and sleep diaries. Daily ratings of sleep-quality, non-restorative sleep, alcohol use and current stress were averaged across 3 days. Structural equation modeling (SEM) was used to account for missing data. All SEM models included correlated measures of deprivation and threat along with age, sex, BMI, alcohol use, daily stress, and depressive symptoms. Results In SEM models, threat was significantly positively associated with non-restorative sleep (b = .046, p <.001) and sleep quality (b=.025, p=.008), but unrelated to all other diary-based and actigraphy-based sleep measures (ps > .05). Deprivation was significantly negatively associated with diary-based WASO (b = -.076, p = .003) and SSOL, but unrelated to all other diary-based and actigraphy-based sleep measures (ps > .05). Conclusion These results begin to clarify associations between related, but distinct forms of CA and specific adult sleep outcomes. Identifying specific pathways linking CA and adult health is critical for developing interventions and mitigating future health risk. Support (If Any) This study was funded by a Funding Incentive Seed Grant from the University of Utah, the Mind and Life Institute, and Division 38 of the American Psychological Association.

scholarly journals Assessing sleep quality in older adults: A comparison of three measurement approaches

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 882-882
Author(s):  
Amy Berkley ◽  
Patricia Carter
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Assessment Tool ◽  
Sleep Problems ◽  
Adult Population ◽  
Sleep Onset ◽  
Self Report ◽  
Sleep Onset Latency ◽  
Wrist Actigraphy ◽  
Sleep Assessment

Abstract Discrepancies between subjective and objective sleep measures have been reported for some time; however, it is critical to consider the implications of inaccurate or incomplete sleep assessment for frail older adults who are struggling to maintain independence. To compare sleep assessment methods, we collected objective sleep measurements (via wrist actigraphy), subjective measures via self-report sleep surveys (Pittsburgh Sleep Quality Index; Insomnia Severity Index, Sleep Hygiene Index), and qualitative data through semi-structured audio-recorded interviews, from 8 older adults who self-reported sleep problems while living in a retirement community in southwestern US. Participants’ objective sleep (Total Sleep Time, Sleep Onset Latency, Wake After Sleep Onset, and Sleep Efficiency) and qualitative narratives were congruent, but self-report measures failed to capture several unique sleep problems identified in the sample. Disordered sleep in older adults has been linked to increased incidence of falls, depression and anxiety, cognitive impairment, institutionalization, and mortality, but traditional sleep assessment instruments, designed for the general adult population, fail to capture many of the experiences and causes that are unique to older adults. functioning. A sleep assessment tool designed to measure older people’s sleep experiences could provide more accurate and sensitive data.

scholarly journals Palmitoylethanolamide for sleep disturbance. A double-blind, randomised, placebo-controlled interventional study

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Amanda Rao ◽  
Phillippa Ebelt ◽  
Alistair Mallard ◽  
David Briskey
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Acid Amide ◽  
Sleep Onset ◽  
Trial Registration ◽  
Sleep Onset Latency ◽  
Double Blind ◽  
Endogenous Fatty Acid ◽  
Wrist Actigraphy ◽  
Wide Range

Abstract Background Sleep is essential for wellbeing, yet sleep disturbance is a common problem linked to a wide range of health conditions. Palmitoylethanolamide (PEA) is an endogenous fatty acid amide proposed to promote better sleep via potential interaction with the endocannabinoid system. Methods This double-blind, randomised study on 103 adults compared the efficacy and tolerability of 8 weeks of daily supplemented PEA formulation (350 mg Levagen + ®) to a placebo. Sleep quality and quantity were measured using wrist actigraphy, a sleep diary and questionnaires. Results At week 8, PEA supplementation reduced sleep onset latency, time to feel completely awake and improved cognition on waking. After 8 weeks, both groups improved their sleep quality and quantity scores similarly. There was no difference between groups at baseline or week 8 for sleep quantity or quality as measured from actigraphy or sleep diaries. Conclusion These findings support PEA as a potential sleeping aid capable of reducing sleep onset time and improving cognition on waking. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12618001339246. Registered 9th August 2018.

scholarly journals Palmitoylethanolamide for Sleep Disturbance. A Double-blind, Randomised, Placebo-controlled Interventional Study

2021 ◽  
Author(s):  
Amanda Rao ◽  
Phillippa Ebelt ◽  
Alistair Mallard ◽  
David Briskey
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Acid Amide ◽  
Sleep Onset ◽  
Trial Registration ◽  
Sleep Onset Latency ◽  
Double Blind ◽  
Endogenous Fatty Acid ◽  
Wrist Actigraphy ◽  
Wide Range

Abstract Background: Sleep is essential for wellbeing, yet sleep disturbance is a common problem linked to a wide range of health conditions. Palmitoylethanolamide (PEA) is an endogenous fatty acid amide proposed to promote better sleep via potential interaction with the endocannabinoid system.Methods: This double-blind, randomized study on 103 adults compared the efficacy and tolerability of 8 weeks of daily supplemented PEA formulation (350 mg Levagen+TM) to a placebo. Sleep quality and quantity were measured using wrist actigraphy, a sleep diary and questionnaires. Results: At week 8, PEA supplementation reduced sleep onset latency, time to feel completely awake and improved cognition on waking. After 8 weeks, both groups improved their sleep quality and quantity scores similarly. There was no difference between groups at baseline or week 8 for sleep quantity or quality as measured from actigraphy or sleep diaries. Conclusion: These findings support PEA as a potential sleeping aid capable of reducing sleep onset time and improving cognition on waking. Trial registration: Australian New Zealand Clinical Trials Registry ACTRN12618001339246. Registered 9th August 2018, http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375493&isReview=true

Sleep and Salivary Testosterone and Cortisol During a Short Preseason Camp: A Study in Professional Rugby Union

2019 ◽  
Vol 14 (6) ◽  
pp. 796-804 ◽  
Author(s):  
Benjamin G. Serpell ◽  
Barry G. Horgan ◽  
Carmen M.E. Colomer ◽  
Byron Field ◽  
Shona L. Halson ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Muscle Soreness ◽  
Sleep Onset ◽  
Sleep Efficiency ◽  
Sleep Onset Latency ◽  
Hormone Concentration ◽  
Salivary Testosterone ◽  
Training Camp ◽  
Wrist Actigraphy ◽  
Rugby Players

Purpose: To examine changes in, and relationships between, sleep quality and quantity, salivary testosterone, salivary cortisol, testosterone-to-cortisol ratio (T:C), and self-reported muscle soreness during a residential-based training camp in elite rugby players. Methods: Nineteen male rugby players age 26.4 (3.9) years, height 186.0 (9.4) cm, and weight 104.1 (13.4) kg (mean [SD]) participated in this study. Wrist actigraphy devices were worn for 8 nights around a 4-d training camp (2 nights prior, during, and 2 nights after). Sleep-onset latency, sleep duration, sleep efficiency, and waking time were measured. Participants provided saliva samples during camp on waking and again 45 min later, which were then assayed for testosterone and cortisol levels. They also rated their general muscle soreness daily. Results: Little variation was observed for sleep quality and quantity or testosterone. However, significant differences were observed between and within days for cortisol, T:C, and muscle soreness (P < .001). Few relationships were observed for sleep and hormones; the strongest, an inverse relationship for sleep efficiency and T:C (r = −.372, P < .01). Conclusions: There may be no clear and useful relationship between sleep and hormone concentration in a short-term training camp context, and measures of sleep and testosterone and cortisol should be interpreted with caution because of individual variation. Alterations in hormone concentration, particularly cortisol, may be affected by other factors including anticipation of the day ahead. This study adds to our knowledge that changes in hormone concentration are individual and context specific.

The effect of 4-h versus 6-h time restricted feeding on sleep quality, duration, insomnia severity and obstructive sleep apnea in adults with obesity

2021 ◽  
pp. 026010602110023
Author(s):  
Sofia Cienfuegos ◽  
Kelsey Gabel ◽  
Faiza Kalam ◽  
Mark Ezpeleta ◽  
Vicky Pavlou ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Sleep Onset ◽  
Control Group ◽  
Sleep Onset Latency ◽  
Restricted Feeding ◽  
Wake Time ◽  
Obstructive Sleep ◽  
Insomnia Severity

Background: Time restricted feeding (TRF) involves deliberately restricting the times during which energy is ingested. Preliminary findings suggest that 8–10-h TRF improves sleep. However, the effects of shorter TRF windows (4–6 h) on sleep, remain unknown. Aims: This study compared the effects of 4-h versus 6-h TRF on sleep quality, duration, insomnia severity and the risk of obstructive sleep apnea. Methods: Adults with obesity ( n = 49) were randomized into one of three groups: 4-h TRF (eating only between 3 and 7 p.m.), 6-h TRF (eating only between 1 and 7 p.m.), or a control group (no meal timing restrictions) for 8 weeks. Results: After 8 weeks, body weight decreased ( p < 0.001) similarly by 4-h TRF (–3.9 ± 0.4 kg) and 6-h TRF (–3.4 ± 0.4 kg), versus controls. Sleep quality, measured by the Pittsburgh Sleep Quality Index (PSQI), did not change by 4-h TRF (baseline: 5.9 ± 0.7; week 8: 4.8 ± 0.6) or 6-h TRF (baseline: 6.4 ± 0.8; week 8: 5.3 ± 0.9), versus controls. Wake time, bedtime, sleep duration and sleep onset latency also remained unchanged. Insomnia severity did not change by 4-h TRF (baseline: 4.4 ± 1.0; week 8: 4.7 ± 0.9) or 6-h TRF (baseline: 8.3 ± 1.2; week 8: 5.5 ± 1.1), versus controls. Percent of participants reporting obstructive sleep apnea symptoms did not change by 4-h TRF (baseline: 44%; week 8: 25%) or 6-h TRF (baseline: 47%; week 8: 20%), versus controls. Conclusion: These findings suggest that 4- and 6-h TRF have no effect on sleep quality, duration, insomnia severity, or the risk of obstructive sleep apnea.

778 Poor Sleep Quality is Associated with Reduced Myelination in Patients with Psychotic Disorders

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A303-A303
Author(s):  
Cagri Yuksel ◽  
Xi Chen ◽  
Lauren Watford ◽  
Margaret Gardner ◽  
Kathryn Lewandowski ◽  
...  
Keyword(s):  
White Matter ◽  
Sleep Quality ◽  
Psychotic Disorders ◽  
Sleep Onset ◽  
Sleep Loss ◽  
Magnetization Transfer Ratio ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Healthy Controls ◽  
Poor Sleep Quality

Abstract Introduction Recent studies show that sleep favors oligodendrocyte proliferation and myelination, and sleep loss is associated with alterations in white matter structure and decreased myelination. Psychotic disorders are characterized by disrupted white matter integrity, and abnormal axon and myelin structure. Despite common sleep disturbances in these disorders, little is known about the relationship between sleep quality and white matter findings. A novel in vivo neuroimaging technique that combines diffusion tensor spectroscopy (DTS) and magnetization transfer ratio (MTR) allows separately examining the axon structure and glial function, and myelin content, respectively. Using this method, we examined the association of sleep quality with white matter biology in a sample of patients with psychotic disorders and matched healthy controls. Methods Participants included patients diagnosed with bipolar disorder with psychotic features (euthymic or depressed, n=12) and schizophrenia spectrum disorders (n=9), and age and sex matched healthy controls (n=20). DTS and MTR data was collected from the right prefrontal white matter at 4T. DTS measures included apparent diffusion coefficients of water, NAA, creatine and choline. Sleep quality was measured using Pittsburgh Sleep Quality Index (PSQI). Results PSQI total score was significantly higher in patients. and patient sample included a higher percentage of poor sleepers (PSQI total score&gt;5). In patients, total PSQI score and sleep onset latency were significantly and negatively associated with MTR (F=6.9, p=0.02 and F=9.7, p=0.007, respectively). There was no difference in any DTS measures between groups. Conclusion Our preliminary results show that poor sleep quality is associated with decreased myelin content in the frontal lobe, in patients with psychotic disorders. This finding suggests that sleep loss may be a mediator of white matter alterations in psychosis. Support (if any) This work is supported by National Institute of Mental Health K23MH119322 to Cagri Yuksel

Abstract 037: History Of Weight Cycling Is Prospectively Associated With Shorter And Poorer Quality Sleep, And Higher Sleep Apnea Risk In Diverse Us Women: Results From The AHA Go Red For Women Strategically Focused Research Network

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Vivian Cao ◽  
Nour Makarem ◽  
Moorea Maguire ◽  
Ivan Samayoa ◽  
Huaqing Xi ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Onset ◽  
Research Network ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Weight Cycling ◽  
Onset Latency ◽  
Cross Sectional ◽  
History Of ◽  
Insomnia Severity

Introduction: Poor sleep and history of weight cycling (HWC) are associated with worse cardiovascular health, yet limited research has evaluated the association between HWC and poor sleep patterns. Hypothesis: We hypothesized that HWC would be associated with poor sleep in US women. Methods: The AHA Go Red for Women Strategically Focused Research Network cohort at Columbia University (n=506, mean age 37 ± 15.7y, 61% racial/ethnic minority) was used to evaluate cross-sectional associations of HWC and sleep characteristics at baseline, and prospective associations of HWC from baseline with sleep measures at 1-yr. HWC, defined as losing and gaining ≥ 10 lbs at least once (excluding pregnancy), and number of WC episodes were self-reported. Sleep duration, measures of sleep quality, insomnia severity, and obstructive sleep apnea (OSA) risk were assessed using the validated Pittsburgh Sleep Quality Index, Insomnia Severity Index, and Berlin questionnaire. Linear and logistic regression models, adjusted for age, race/ethnicity, education, health insurance status, pregnancy history, and menopausal status, were used to evaluate the relation of HWC with sleep. Results: Most women reported ≥1episode of weight cycling (72%). In linear models of cross-sectional and prospective data, each additional weight cycling episode was related to shorter sleep duration, poorer sleep quality, longer sleep onset latency, greater insomnia severity, more sleep disturbances and daytime dysfunction, lower sleep efficiency, and higher sleep medication use frequency. In logistic models, HWC (≥1 vs. 0 episodes) was associated with greater odds for short sleep, poor sleep quality, long sleep onset latency ≥26 min, high OSA risk, and sleep efficiency<85% ( Table ). Conclusion: HWC predicted poor sleep among women, suggesting that weight maintenance may represent an important strategy to promote sleep health. Long-term studies are needed to disentangle the complex relations between weight fluctuations and sleep across the life course.

scholarly journals Live Fast, Die Young, and Sleep Later: Life History Strategy and Human Sleep Behavior

2020 ◽  
Author(s):  
Vahe Dishakjian ◽  
Daniel M T Fessler ◽  
Adam Maxwell Sparks
Keyword(s):  
Life History ◽  
Individual Differences ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Life History Strategy ◽  
The Body ◽  
Equation Modeling ◽  
Sleep Onset Latency ◽  
Sleep Behaviors

Abstract Background and objectives Life History Theory (LHT) describes trade-offs that organisms make with regard to three investment pathways: growth, maintenance, and reproduction. In light of the reparative functions of sleep, we examine sleep behaviors and corresponding attitudes as proximate manifestations of an individual’s underlying relative prioritization of short-term reproduction versus long-term maintenance. Methodology We collected survey data from 568 participants across two online studies having different participant pools. We use a mixture of segmented and hierarchical regression models, structural equation modeling, and machine learning to infer relationships between sleep duration/quality, attitudes about sleep, and biodemographic/psychometric measures of life history strategy (LHS). Results An age-mediated U- or V-shaped relationship appears when LHS is plotted against habitual sleep duration, with the fastest strategies occupying the sections of the curve with the highest mortality risk: &lt; 6.5 hours (short sleep) and &gt; 8.5 hours (long sleep). LH “fastness” is associated with increased sleepiness and worse overall sleep quality: delayed sleep onset latency, more wakefulness after sleep onset, higher sleep-wake instability, and greater sleep duration variability. Hedonic valuations of sleep may mediate the effects of LHS on certain sleep parameters. Conclusions and implications The costs of deprioritizing maintenance can be parameterized in the domain of sleep, where “life history fastness” corresponds with sleep patterns associated with greater senescence and mortality. Individual differences in sleep having significant health implications can thus be understood as components of lifelong trajectories likely stemming from calibration to developmental circumstances. Relatedly, hedonic valuations of sleep may constitute useful avenues for non-pharmacological management of chronic sleep disorders. LAY Summary Sleep is essential because it allows the body to repair and maintain itself. But time spent sleeping is time that cannot be spent doing other things. People differ in how much they prioritize immediate rewards, including sociosexual opportunities, versus long-term goals. In this research, we show that individual differences in sleep behaviors, and attitudes toward sleep, correspond with psychological and behavioral differences reflecting such differing priorities. Orientation toward sleep can thus be understood as part of the overall lifetime strategies that people pursue.

Utility of Activity Monitors and Thermometry in Assessing Sleep Stages and Sleep Quality

2018 ◽  
Vol 1 (3) ◽  
pp. 108-121
Author(s):  
Natashia Swalve ◽  
Brianna Harfmann ◽  
John Mitrzyk ◽  
Alexander H. K. Montoye
Keyword(s):  
Sleep Quality ◽  
Skin Temperature ◽  
Sleep Stage ◽  
Sleep Onset ◽  
Sleep Efficiency ◽  
Sleep Stages ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Activity Monitors ◽  
Research Grade

Activity monitors provide an inexpensive and convenient way to measure sleep, yet relatively few studies have been conducted to validate the use of these devices in examining measures of sleep quality or sleep stages and if other measures, such as thermometry, could inform their accuracy. The purpose of this study was to compare one research-grade and four consumer-grade activity monitors on measures of sleep quality (sleep efficiency, sleep onset latency, and wake after sleep onset) and sleep stages (awake, sleep, light, deep, REM) against an electroencephalography criterion. The use of a skin temperature device was also explored to ascertain whether skin temperature monitoring may provide additional data to increase the accuracy of sleep determination. Twenty adults stayed overnight in a sleep laboratory during which sleep was assessed using electroencephalography and compared to data concurrently collected by five activity monitors (research-grade: ActiGraph GT9X Link; consumer-grade: Fitbit Charge HR, Fitbit Flex, Jawbone UP4, Misfit Flash) and a skin temperature sensor (iButton). The majority of the consumer-grade devices overestimated total sleep time and sleep efficiency while underestimating sleep onset latency, wake after sleep onset, and number of awakenings during the night, with similar results being seen in the research-grade device. The Jawbone UP4 performed better than both the consumer- and research-grade devices, having high levels of agreement overall and in epoch-by-epoch sleep stage data. Changes in temperature were moderately correlated with sleep stages, suggesting that addition of skin temperature could increase the validity of activity monitors in sleep measurement.

scholarly journals Off-training physical activity and training responses as determinants of sleep quality in young soccer players

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nuno Mateus ◽  
Juliana Exel ◽  
Bruno Gonçalves ◽  
Anthony Weldon ◽  
Jaime Sampaio
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Onset ◽  
Holistic Approach ◽  
Soccer Players ◽  
Sleep Onset Latency ◽  
Youth Soccer ◽  
Sports Organizations ◽  
Health Related ◽  
And Training

AbstractThis study aimed to quantify and assess the relationship of young soccer players' off-training physical activity (PA) and training responses on sleep quality. Eleven adolescent soccer players (13 ± 0.5 years old) were monitored during weekdays for four consecutive weeks, throughout soccer practice days. Off-training PA and sleep quality were assessed using 100 Hz tri-axial accelerometers and training responses analyzed using 20 Hz global positioning measurement units. A cluster analysis classified all cases into three different dimensions, (1) off-training PA, (2) training responses and (3) sleep quality. For each dimension, the most important variables for classifying the cases into clusters were sedentary PA and moderate-to-vigorous PA; total distance covered and impacts; and sleep onset latency and sleep fragmentation index, respectively. Afterwards, a correspondence analysis was used to identify whether off-training PA and training responses affected sleep quality. Results exposed that high to medium off-training PA combined with medium to high training responses may have decreased sleep quality. Conversely, no correspondence was observed between off-training PA and training responses, with higher sleep quality. This study emphasizes the importance of sports organizations adopting a holistic approach to youth soccer players’ development, that appropriately considers the inter-relationship between lifestyle, performance and health-related information.

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