scholarly journals 0120 Association Between Sleep Duration and Daytime Memory and Cognition Depends on Sleep Quality: Data from the 2017 Israel Social Survey

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A47-A48
Author(s):  
C C Wills ◽  
E A Rosenberg ◽  
M L Perlis ◽  
S Parthasarathy ◽  
S Chakravorty ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Duration ◽  
Quality Data ◽  
Poor Sleep ◽  
Israeli Population ◽  
Long Sleep ◽  
Cognitive Problems ◽  
The Impact ◽  
Sleep Difficulties

Abstract Introduction This study examines the relationship between sleep duration, sleep disturbance, and cognitive problems in a representative sample of the Israeli population. Methods 7,230 Israelis responded to an Israeli Bureau of Statistics population-based survey of households from the year 2017. All variables were self-reported. Outcome of interest was difficulty with memory/concentration (none, mild, or severe). Predictors included previous month sleep duration (<=5hrs, 6hrs, 7hrs [reference], 8hrs, or >=9hrs) and sleep disturbance (none [reference], mild [1/week], moderate [2–3/week], or severe [>3/week]). Covariates included age, sex, ethnic group, and financial status. Multinomial logistic regressions evaluated the relationships between variables, and post-hoc testing identified relationships within specific subgroups. Results 72.9% denied cognitive problems, 22.2% reported mild problems, and 4.9% severe problems. In adjusted analyses, Sleep <=5hrs and >=9hrs were associated with mild (RRR=1.39, p<0.0005), (RRR=1.46, p=0.004) and severe (RRR=2.75, p<0.0005), (RRR=3.24, p<0.0005) cognitive problems, respectively. Mild, moderate, and severe sleep difficulties were associated with mild cognitive problems (RRR=2.09, p<0.0005), (RRR=2.22, p<0.0005), (RRR=2.44, p<0.0005), and severe cognitive problems (RRR=1.77, p=0.001), (RRR=3.04, p<0.0005), (RRR=4.22, p<0.0005), respectively. There was an interaction between sleep duration and sleep difficulties (p<0.05). Among those denying sleep difficulties, only >=9hrs of sleep was associated with cognitive problems. Among those with mild, moderate, and severe sleep difficulties, both short and long sleep were associated with cognitive problems. Conclusion In an Israeli population sample, both sleep duration and quality were associated with cognitive problems. Among those with sleep difficulties, short and long sleep duration were associated with cognitive problems, but among those denying sleep difficulties, only long sleep was associated with cognitive problems. These results suggest that the impact of sleep loss on real-world cognition may also rely on the presence of poor sleep quality. Support Dr. Grandner is supported by R01MD011600

scholarly journals 0785 Associations Between Circadian Preference And Sleep-related Thoughts: Data From The 2015 Sleep In America Poll

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A298-A299
Author(s):  
B Jeon ◽  
F S Luyster ◽  
E R Chasens
Keyword(s):  
Sleep Disturbance ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Secondary Analysis ◽  
Logistic Models ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Circadian Preference ◽  
Physical Consequences ◽  
The Impact

Abstract Introduction Evening types of sleep tend to have poorer sleep quality and sleep habits than morning types. Maladaptive beliefs or thoughts about sleep can affect one’s sleep and may differ between evening and morning types. We examined the association between the circadian preference and sleep-related thoughts in U.S adults. Methods A secondary analysis used survey data from the 2015 National Sleep Foundation’s Sleep in America Poll. Questions included normal bedtime and wake-up time for week/work days and weekend/non-work days. Circadian preference was determined by midpoint of sleep calculated as midpoint of sleep on weekends corrected for average nightly sleep duration. Participants were excluded if their sleep midpoint was from noon to midnight. Midpoint of sleep was divided into two groups using median split (“earlier” vs. “later”). Sleep-related thoughts were “worry about getting a good sleep”, “overwhelming thoughts about getting enough sleep”, “motivation to get sleep”, and “concern about serious physical consequences due to poor sleep”; responded often/always or extremely to somewhat for these items were coded as maladaptive. Logistic regression analysis controlling for socio-demographics, sleep duration, and sleep disturbance (PROMIS Scale; higher scores = greater sleep disturbance) was conducted to examine the relationships between midpoint of sleep and sleep-related thoughts. Results The sample (N = 1011) was primarily White (73.6%), male (50.9%), college educated (62.2%), married/partnered (67.6%) with a mean age of 51.65 ± 17.05 years. Mean midpoint of sleep in “earlier” type was 2:33AM and 5:29AM in “later” type. “Later” type had shorter sleep duration on weekdays and longer sleep duration on weekends than “earlier” type (p < .01), but average sleep duration was similar between two types. “Later” type had more “worry” and “overwhelming thoughts” (p < .05) about sleep. In logistic models, midpoint of sleep was significant only for “concern” (p = .02). Conclusion In this study, late chronotype was associated with increased sleep disturbances and greater variability in sleep duration. The relationship between the timing of sleep and thoughts about the impact of impaired sleep remains unclear and an area for further study with objective measures. Support  

scholarly journals Comparing the Effects of FIFO/DIDO Workers Being Home versus Away on Sleep and Loneliness for Partners of Australian Mining Workers

2020 ◽  
Vol 2 (1) ◽  
pp. 86-98
Author(s):  
Kerrie-ann I. Wilson ◽  
Sally A. Ferguson ◽  
Amanda Rebar ◽  
Kristie-Lee Alfrey ◽  
Grace E. Vincent
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Adverse Outcomes ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Insufficient Sleep ◽  
Work Arrangements ◽  
Excessive Sleepiness ◽  
The Impact ◽  
At Home

Fly in Fly out/Drive in Drive out (FIFO/DIDO) is a prevalent work arrangement in the Australian mining industry and has been associated with adverse outcomes such as psychological stress, sleep disturbances, fatigue, and work/life interference. FIFO/DIDO work arrangements have the potential to not only impact the FIFO/DIDO worker, but also the partner of the FIFO/DIDO worker. However, there is sparse empirical evidence on the impact of FIFO/DIDO work arrangements on partners’ sleep and subsequent performance. Therefore, the primary aim of this study was to describe and compare partners’ sleep quality, sleep duration, sleepiness, and loneliness when the FIFO/DIDO workers were at home (off-shift) and away (on-shift). A secondary aim of this study was to examine whether differences in partners’ sleep quality and sleep duration as a result of FIFO/DIDO worker’s absence could be partially explained through the presence of dependents in the home, relationship duration, chronotype, duration in a FIFO/DIDO role, and loneliness. Self-reported questionnaires were completed by 195 female and 4 male participants, mostly aged between 18 and 44 years and who had been in a relationship with a FIFO/DIDO mining worker for more than five years. Of note, most participants subjectively reported poor sleep quality, insufficient sleep duration, excessive sleepiness, and moderate to extreme loneliness compared to the general population regardless of whether the FIFO/DIDO workers were at home or away. Compared to when the FIFO/DIDO workers were at home, partners experienced reduced sleep quality and increased loneliness when the FIFO/DIDO workers were away. Secondary analyses revealed that loneliness may partially underpin the negative effect that FIFO/DIDO workers’ absence has on sleep quality. Further research is needed to understand the factors that contribute to poor sleep quality, insufficient sleep duration, excessive sleepiness, and loneliness of FIFO/DIDO partners to inform appropriate strategies to support FIFO/DIDO partners’ health and wellbeing not only in the mining population, but other industries that incorporate similar FIFO/DIDO work arrangements (e.g., emergency services, offshore drilling, and transport).

scholarly journals 0404 Jewish-Arab Disparities in Sleep Behaviors and Differential Ethnic Impact on Daytime Functioning, Driving Safety, and Health in Israel

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A154-A155
Author(s):  
E Rosenberg ◽  
M L Perlis ◽  
S Parthasarathy ◽  
G Jean-Louis ◽  
S Chakravorty ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Sleep Duration ◽  
Functional Impairment ◽  
Motor Vehicle ◽  
Health And Safety ◽  
Population Based ◽  
Driving Safety ◽  
Drowsy Driving ◽  
The Impact ◽  
Sleep Difficulties

Abstract Introduction In Israel, those with Arabic as compared to Jewish ethnicity, exhibit poorer health and motor vehicle safety behaviors. Their ethnic differences in sleep duration and quality may modulate their vulnerabilities to these behaviors. Methods 7,230 Israeli individuals (N=5,880 Jewish and N=1350 Arabic) responded to the 2017 Israeli Bureau of Statistics population-based survey of households. Variables were self-reported. Outcomes included sleepiness, sleep medications, functional impairment, drowsy driving, overall health, 1-year health change, and obesity. Predictors included categorical sleep duration (<=5, 6, 7, 8 [reference], or >=9 hours) and sleep disturbance in the past month (none [reference], mild [1/week], moderate [2-3/week], or severe [>3/week]). Covariates included age, sex, and financial status. Ethnicity (Jewish/Arabic) was treated as a predictor of sleep and behavioral outcomes. Results When compared to normal (8-hour) sleepers, Jewish as compared to Arabic individuals were more likely to to sleep <=5h (RRR=3.99, p<0.0005), 6h (RRR=4.65, p<0.0005), and 7h (RRR=3.34, p<0.0005), and were more likely to report severe sleep difficulties (RRR=1.49, p<0.0005) and sleepiness (oOR=1.52, p< 0.0005). Yet, they were less likely to report functional impairment (oOR=0.65, p<0.0005), drowsy driving (OR=0.58, p<0.0005), worse health (oOR=0.51, p<0005), worsening health (oOR=0.70, p<0.0005), or obesity (OR=0.64, p<0.0005). Significant ethnicity by sleep duration interactions (p<0.05) characterized sleepiness, sleep medications, functional impairment, health, and health change. Moreover, significant ethnicity by sleep disturbance interactions (p<0.05) characterized the same outcomes, in addition to drowsy driving. Overall, the impact of sleep duration and sleep difficulties was generally greater among Arabs for all variables. Conclusion Despite Jewish individuals endorsing relatively shorter sleep and more severe sleep difficulties, Arabs seem to be more vulnerable to the health and functional outcomes. This finding may explain some of the discrepancies in the health and safety outcomes between these ethnic groups. Support Dr. Grandner is supported by R01MD011600

scholarly journals The Impact of COVID-19 on Sleep Quality in People Living With Disabilities

2021 ◽  
Vol 12 ◽  
Author(s):  
Nikki Heinze ◽  
Syeda F. Hussain ◽  
Claire L. Castle ◽  
Lauren R. Godier-McBard ◽  
Theofilos Kempapidis ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Duration ◽  
State Anxiety ◽  
People With Disabilities ◽  
Convenience Sample ◽  
Sleep Medication ◽  
Quality Sleep ◽  
The Impact

Background: Research exploring the impact of the COVID-19 pandemic on sleep in people with disabilities has been scarce. This study provides a preliminary assessment of sleep in people with disabilities, across two timepoints during the pandemic, with a focus on those with visual impairment (VI).Methods: Two online surveys were conducted between April 2020 and March 2021 to explore sleep quality using the Pittsburgh Sleep Quality Index (PSQI). A convenience sample of 602 participants completed the first survey and 160 completed the follow-up survey.Results: Across both timepoints, participants with disabilities reported significantly poorer global sleep quality and higher levels of sleep disturbance, use of sleep medication and daytime dysfunction than those with no disabilities. Participants with VI reported significantly higher levels of sleep disturbance and use of sleep medication at both timepoints, poorer global sleep quality, sleep duration and latency at time 1, and daytime dysfunction at time 2, than those with no disabilities. Global sleep quality, sleep duration, sleep efficiency, and self-rated sleep quality deteriorated significantly in participants with no disabilities, but daytime dysfunction increased in all three groups. Disability and state anxiety were significant predictors of sleep quality across both surveys.Conclusion: While sleep was consistently poorer in people with disabilities such as VI, it appears that the COVID-19 pandemic has had a greater impact on sleep in people with no disabilities. State anxiety and, to a lesser extent, disability, were significant predictors of sleep across both surveys, suggesting the need to address anxiety in interventions targeted toward improving sleep.

Abstract MP073: Sleep Patterns and Depression in a Diverse Sample of Women from the AHA Go Red for Women Strategically Focused Research Network (SFRN)

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Brooke Aggarwal ◽  
Ming Liao
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Minority Women ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Long Sleep ◽  
Race Ethnicity

Background: Depression has been linked to increased risk of cardiovascular disease (CVD) through biological mechanisms and altered lifestyle behaviors, possibly including short and/or long sleep duration. However the relation between specific sleep components and depressive symptoms, and interaction by race/ethnicity has not been fully defined. The purpose of this study was to determine if sleep patterns including short sleep duration, poor sleep quality, and insomnia were associated with depressive symptoms in a free-living ethnically diverse population of adult women, and if they varied by racial/ethnic status. Methods: English or Spanish speaking females between the ages of 20-79 y, participating in an observational cohort study as part of the American Heart Association Go Red for Women SFRN, were included (n=50, 56% (28 of 50) non-white, mean age = 41 ±18y). Sleep patterns were assessed using the Pittsburgh Sleep Quality Index (PSQI), a validated instrument used to measure the quality and duration of sleep in adults. Presence of insomnia was measured using the Insomnia Severity Index (ISI). Depressive symptoms were assessed using the Beck Depression Inventory (BDI-II). Linear and logistic regression models were used to evaluate cross-sectional associations between sleep patterns and depression overall, and by race/ethnicity. Results: Overall, nearly one-fifth of participants had depressive symptoms (BDI II score ≤13), 18% (9 of 50) had short sleep duration (<6 hours per night), 38% (19 of 50) had poor quality sleep (PSQI score ≥5), and 40% (20 of 50) had some level of insomnia (ISI score ≥8). Mean BDI-II scores among women who slept <6 versus ≥6 hours were significantly greater (16 versus 5, p=.0003). Higher depression scores were associated with shorter sleep duration (p=.001), poorer sleep quality (p=.03), and higher insomnia severity (p<.0001) overall. There was no association between depression and long sleep (≥8 hours). When stratified by race/ethnicity, depression was significantly associated with poor sleep quality among minority women in multivariable models adjusted for demographic confounders (OR=1.42, 95% CI=1.03-1.95), but not among non-Hispanic white women. Depression was also significantly associated with insomnia severity (p<.001), and sleep duration (p=.03) among minority women only, in multivariable adjusted models stratified by race/ethnicity. Conclusions: In this diverse sample of women, sleep problems were highly prevalent. Poor sleep quality, insomnia, and short sleep duration (but not long sleep) were associated with greater depressive symptoms among minority women but not whites. These preliminary data suggest that minority women with short sleep duration may be at heightened CVD risk from depression. Future research should determine if interventions designed to improve sleep result in decreased depressive symptoms and reduced CVD risk.

scholarly journals The Impact of Sleep Timing, Sleep Duration, and Sleep Quality on Depressive Symptoms and Suicidal Ideation amongst Japanese Freshmen: The EQUSITE Study

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Atin Supartini ◽  
Takanori Honda ◽  
Nadzirah A. Basri ◽  
Yuka Haeuchi ◽  
Sanmei Chen ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Poor Sleep Quality ◽  
The Impact

Aim. The aim of this study was to identify the impact of bedtime, wake time, sleep duration, sleep-onset latency, and sleep quality on depressive symptoms and suicidal ideation amongst Japanese freshmen.Methods. This cross-sectional data was derived from the baseline survey of the Enhancement of Q-University Students Intelligence (EQUSITE) study conducted from May to June, 2010. A total of 2,631 participants were recruited and completed the following self-reported questionnaires: the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiologic Studies Depression Scale (CES-D), and the original Health Support Questionnaires developed by the EQUSITE study research team.Results. Of 1,992 participants eligible for analysis, 25.5% (n=507) reported depressive symptoms (CES-D total score ≥ 16), and 5.8% (n=115) reported suicidal ideation. The present study showed that late bedtime (later than 01:30), sleep-onset latency (≥30 minutes), and poor sleep quality showed a marginally significant association with depressive symptoms. Poor sleep quality was seen to predict suicidal ideation even after adjusting for depressive symptoms.Conclusion. The current study has important implications for the role of bedtime in the prevention of depressive symptoms. Improving sleep quality may prevent the development of depressive symptoms and reduce the likelihood of suicidal ideation.

scholarly journals O049 Sleep quality and its impact on children with primary ciliary dyskinesia

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A21-A21
Author(s):  
I Ewert ◽  
P Robinson ◽  
A Adams ◽  
M Vandeleur
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Screening Program ◽  
Lung Mechanics ◽  
Poor Sleep ◽  
Clinical Markers ◽  
Subjective Sleep Quality ◽  
Obstructive Sleep ◽  
Clinically Significant ◽  
The Impact

Abstract Background PCD is a rare, progressive disease resulting in upper respiratory manifestations and abnormal lung mechanics that increase one’s risk of obstructive sleep apnoea. This study aims to characterise the sleep quality of children with PCD and its impacts on mood and HRQOL. Methods Children with PCD aged 0–19 years with stable respiratory symptoms were recruited. Subjective sleep quality was assessed by the Sleep Disturbance Scale for Children (SDSC), OSA-18, and Paediatric Daytime Sleepiness Scale (PDSS). Mood and depressive symptoms were assessed via QOL-PCD and Children’s Depressive Inventory (CDI) as age-appropriate. Pulmonary function testing was performed via spirometry and Multiple Breath Washout. Patients underwent an ENT assessment. All children completed one night of polysomnography including transcutaneous CO2 and video monitoring. Progress to date: Twenty participants (45% female) have been recruited with a mean age of 8.5 years. Mean (±SD) FEV1 is 76.5±22.9%. 73% of children assessed have chronic rhinosinusitis. Clinically significant scores for SDSC were observed in 79% of patients and in 30% of patients for OSA-18. 38% of children reported clinically significant scores for PDSS. To date, 7 children have completed polysomnography. Intended outcome and impact: This is the first study to characterise sleep quality and the impact of sleep disturbance in Australian children with PCD. We aim to identify clinical markers of poor sleep quality to better inform the development of a sleep screening program for use in paediatric PCD clinics.

scholarly journals The impact of sleep quality and duration on leptin, appetite, and obesity indices in adults

2020 ◽  
Vol 29 (4) ◽  
pp. 417-21
Author(s):  
Harry Freitag Luglio Muhammad ◽  
Satwika Arya Pratama ◽  
Dian Caturini Sulistyoningrum ◽  
Maya Nurfitriani Hartono ◽  
Emy Huriyati ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Dietary Intake ◽  
Sleep Duration ◽  
The Body ◽  
Enzyme Linked Immunosorbent Assay ◽  
Poor Sleep ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Obesity Indices ◽  
The Impact

BACKGROUND Poor sleep duration and quality were previously reported to increase the risk of obesity. This study was aimed to evaluate the impact of sleep quality and duration on leptin, appetite, and adiposity in Indonesian adults. METHODS This cross-sectional study recruited adults in Yogyakarta, Indonesia, in 2016. Sleep quality was assessed using the Pittsburgh sleep quality index, appetite was evaluated using the community nutrition appetite questionnaire, and dietary intake was assessed by interviews using the semi-quantitative food frequency questionnaire. Sleep duration was also asked. Obesity indices were measured using the body mass index (BMI), waist-hip circumference, and percentage of body fat. Leptin was analyzed using the enzyme-linked immunosorbent assay. A Spearman analysis was done to evaluate the correlation between sleep quality, sleep duration, anthropometric measures, dietary intake, appetite, and leptin. RESULTS 244 adults participated in this study. This study showed that lower sleep quality and duration was significantly correlated with higher body weight (r = 0.129, p = 0.043 and r = −0.228, p<0.001), BMI (r = 0.176, p = 0.006 and r = −0.202, p = 0.001), and waist circumference (r = 0.179, p = 0.005 and r = −0.254, p<0.001). There was a correlation between poor sleep quality and higher leptin concentration (r = 0.186, p = 0.004). Sleep quality and duration were not associated with appetite (r = 0.109, p = 0.109 and r = −0.043, p = 0.500). CONCLUSIONS This study found that lower sleep quality was correlated with higher BMI, higher leptin concentration, but not appetite.

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