scholarly journals 0193 Sleep Health Across Religions: A Consideration of Bidirectional Processes

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A76-A76
Author(s):  
K Fergason ◽  
W Rowatt ◽  
M K Scullin
Keyword(s):  
Mental Health ◽  
Sleep Duration ◽  
Religious Affiliation ◽  
Secondary Data ◽  
Sleep Time ◽  
Poor Sleep ◽  
Physical And Mental Health ◽  
Sleep Health ◽  
Causal Direction ◽  
Falling Asleep

Abstract Introduction The psychology of religion literature indicates that religious engagement is beneficial to physical and mental health. Such effects might be mediated by sleep health, which causally affects mood, cognitive, and immune functioning. However, few studies have investigated whether religiosity is associated with better sleep, and no studies have considered the reverse causal direction: better sleep may impact religious behaviors or perceptions. Methods We conducted a secondary data analysis of 1,501 participants in Wave 5 of the Baylor Religion Survey (BRS-5). Completed in Spring 2017, the BRS-5 used Address Based Sample methodology to derive a population-based sample. The survey included questions on religious affiliation, behaviors, and perceptions (e.g., certainty of Heaven). Additionally, participants rated their difficulty falling asleep and their average total sleep time. We investigated whether participants were meeting AASM/SRS consensus guidelines of 7–9 hours/night. Results Religious affiliation was associated with sleep duration, but not in the predicted direction. Atheists/Agnostics (73%) were significantly more likely to report meeting consensus sleep duration guidelines than religiously-affiliated individuals (65%), p<.05. For example, Atheists/Agnostics reported better sleep duration than Catholics (63%, p<.01) and Baptists (55%, p<.001). Atheists/Agnostics also reported less difficulty falling asleep at night than Catholics (p=.02) and Baptists (p<.001). The effects persisted when controlling for age and were particularly evident in members of African American congregations. Perceptions of getting into Heaven were significantly higher in participants who obtained better sleep duration, p<.05, but interestingly, such beliefs/perceptions were unrelated to difficulty falling asleep at night, suggesting that better sleep may lead to these perceptions rather than vice versa. Conclusion In contrast to predictions, religious affiliation was associated with significantly poorer sleep health. Poor sleep health has implications for physical and mental health, and seemingly also religious perceptions/beliefs. Future experimental work is required to disentangle the causal direction of sleep-religiosity associations. Support The Baylor Religion Survey was supported by the John Templeton Foundation.

534 Food Insecurity and Sleep Health by Race/Ethnicity and Age Group in the United States

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A211-A211
Author(s):  
Nyree Riley ◽  
Dana Alhasan ◽  
W Braxton Jackson ◽  
Chandra Jackson
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
The United States ◽  
Poor Sleep ◽  
High Food ◽  
Short Sleep Duration ◽  
Sleep Health ◽  
Falling Asleep

Abstract Introduction Food insecurity may influence sleep through poor mental health (e.g., depression) and immune system suppression. Although prior studies have found food insecurity to be associated with poor sleep, few studies have investigated the food security-sleep association among racially/ethnically diverse participants and with multiple sleep dimensions. Methods Using National Health Interview Survey data, we examined overall, age-, sex/gender-, and racial/ethnic-specific associations between food insecurity and sleep health. Food security was categorized as very low, low, marginal, and high. Sleep duration was categorized as very short (<6 hours), short (<7 hours), recommended (7–9 hours), and long (≥9 hours). Sleep disturbances included trouble falling and staying asleep, insomnia symptoms, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographic characteristics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (95% CI) for sleep dimensions by very low, low, and marginal vs. high food security. Results The 177,435 participants’ mean age was 47.2±0.1 years, 52.0% were women, 68.4% were Non-Hispanic (NH)-White. Among individuals reporting very low food security, 75.4% had an annual income of <$35,000 and 60.3% were ≥50 years old. After adjustment, very low vs. high food security was associated with a higher prevalence of very short (PR=2.61 [95%CI: 2.44–2.80]) and short (PR=1.66 [95% CI: 1.60–1.72]) sleep duration. Very low vs. high food security was associated with both trouble falling asleep (PR=2.21 [95% CI: 2.12–2.30]) and trouble staying asleep (PR=1.98 [95% CI: 1.91–2.06]). Very low vs. high food security was associated with higher prevalence of very short sleep duration among Asians (PR=3.64 [95% CI: 2.67–4.97]), Whites (PR=2.73 [95% CI: 2.50–2.99]), Blacks (PR=2.03 [95% CI: 1.80–2.31]), and Hispanic/Latinxs (PR=2.65 [95% CI: 2.30–3.07]). Conclusion Food insecurity was associated with poor sleep in a diverse sample of the US population. Support (if any):

scholarly journals Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Mitch J. Duncan ◽  
Anna T. Rayward ◽  
Elizabeth G. Holliday ◽  
Wendy J. Brown ◽  
Corneel Vandelanotte ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Trial Registration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Sleep Health ◽  
Intervention Effects ◽  
Symptoms Of Depression ◽  
Randomised Controlled

Abstract Background To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults. Methods This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18–65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40–65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet “app” using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05. Results At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; − 0.60,-0.11), anxiety (− 0.11; − 0.27,-0.01), stress (− 0.37; − 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. Conclusions Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. Trial registration Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; ACTRN12617000376347. Universal Trial number: U1111–1194-2680; U1111–1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016–0181.

scholarly journals Association of physical activity with sleep health: A systematic review

2019 ◽  
Vol 23 ◽  
pp. 1-26
Author(s):  
Andrea Wendt ◽  
Thaynã Ramos Flores ◽  
Inácio Crochemore Mohnsam Silva ◽  
Fernando César Wehrmeister
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Undergraduate Students ◽  
Data Extraction ◽  
Activity Measurement ◽  
Poor Sleep ◽  
Long Term Effects ◽  
Sleep Health ◽  
Cross Sectional

The aim of this study was to systematically examine the literature on physical activity and sleep in non-clinical and population-based settings. The inclusion criteria were original studies testing the association between physical activity (as exposure) and sleep (as outcome) in representative samples of the general population, workers, or undergraduate students. Sleep health included sleep duration, sleep quality and insomnia. Studies evaluating samples including only individuals with some disease or a health condition were excluded. A search was performed in the PubMed, Scopus, Lilacs, CINAHL, and SPORTdiscus databases in March 2018. Data extraction was performed using the following items: year, author, country, population, age group, sample size, study design, sleep measurement/definition, physical activity measurement/definition, adjustment and main results. A total of 57 studies were selected, which markedly used heterogeneous instruments to measure physical activity and sleep. The majority were conducted in high-income countries and with cross-sectional design. Physical activity was associated with lower odds of insomnia (observed in 10 of 17 studies), poor sleep quality (observed in 12 of 19 studies) and long sleep duration (observed in 7 of 11 studies). The results about short sleep or continuous sleep duration remain unclear. Physical activity seems to be associated with sleep quality and insomnia, especially among adult and elderly populations in which these outcomes are more usually measured. The short- and long-term effects of physical activity intensities and dose-response on sleep should be better evaluated.

Characterizing psychiatric hypersomnia on campus: contributions of chronotype, insomnia, and tiredness

2021 ◽  
Author(s):  
Louise Beattie ◽  
Georgios Rigas ◽  
Stephany Biello
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Sleep Duration ◽  
Preliminary Report ◽  
Severity Index ◽  
Poor Mental Health ◽  
Sleep Health ◽  
Future Studies ◽  
Health And Wellbeing ◽  
Sleep Propensity

Study Objectives: The sleep of students contains several features rendering it worthy of independent investigation. Sleep duration is an important aspect of sleep health and wellbeing, however the assessment of psychiatric hypersomnia has been hampered by the absence of a single unitary scale of this construct. With the recent publication of the Hypersomnia Severity Index, research can now examine this condition in greater detail.Methods: Here we consider how the candidate variables of sleep propensity, fatigue, chronotype and insomnia may be associated with hypersomnia scores in a sample of 140 students. Results suggest that hypersomnia was significantly predicted by these measures, but not age or gender. We then model a pathway from chronotype to hypersomnia, including these factors as potential mediators.Results: Results suggest that hypersomnia was significantly predicted by these measures, but not age or gender. The proposed pathway from chronotype to hypersomnia warrants further study.Conclusions: Future studies should expand upon this preliminary report and consider longitudinally and prospectively how hypersomnia is linked to poor mental health in well-characterized samples of students and other young adults.

scholarly journals 0553 Hallucinogen Use Among College and University Students: Associations with Insufficient Sleep and Insomnia

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A211-A212
Author(s):  
C Holbert ◽  
C Bastien ◽  
S c ◽  
W D Killgore ◽  
C C Wills ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Assessment ◽  
Poor Sleep ◽  
Insufficient Sleep ◽  
College And University ◽  
Falling Asleep ◽  
Wide Range ◽  
The Us ◽  
National College Health Assessment ◽  
College Health Assessment

Abstract Introduction Previous studies have shown that poor sleep is associated with alcohol use, smoking, and other substance use, especially among young adults. Yet, very little is known about hallucinogen use. Methods Data from the 2011-2014 National College Health Assessment were used (N=113,749), representing a wide range of students across the US. Hallucinogen use was reported as “never,” “past,” and “present” (reflecting use in the past 30 days). Students also self-reported nights/week they did not get enough sleep to feel rested (insufficient sleep), as well as nights/week they had difficulty falling asleep (initial insomnia). Responses for both were categorized as 0, 1-2, 3-4, 5-6, or 7 nights/week. Multinomial logistic regressions examined hallucinogen use as outcome (past or present vs never) and sleep as predictor, with adjustment for covariates (age, sex, race/ethnicity, and survey year) and mental health (past 30 days depression/anxiety). Results Hallucinogen use was infrequently reported, with 4.8% (N=5,493) reporting past use and 0.98% (N=1,119) reporting present use. In adjusted analyses, increase likelihood of past use was associated with insufficient sleep on 1-2 (RRR=1.28, p=0.001), 3-4 (RRR=1.37, p&lt;0.0005), 5-6 (RRR=1.30, p&lt;0.0005), and 7 (RRR=1.34, p&lt;0.0005) nights per week, as well as 1-2 (RRR=1.30, p&lt;0.0005), 3-4 (RRR=1.52, p&lt;0.0005), 5-6 (RRR=1.58, p&lt;0.0005), and 7 (RRR=1.49, p&lt;0.0005) nights per week of initial insomnia. Present use was associated with 1-2 (RRR=1.44, p&lt;0.0005), 3-4 (RRR=1.76, p&lt;0.0005), 5-6 (RRR=2.05, p&lt;0.0005), and 7 (RRR=1.83, p&lt;0.0005) nights per week of initial insomnia. When mental health was entered into the model, results were maintained. Conclusion Past use of hallucinogens was associated with insufficient sleep as well as insomnia. Present use was also associated with insomnia. When mental health was included in models, all results were maintained. It is not clear whether hallucinogen use leads to, or is predicted by, sleep difficulties. Support Dr. Grandner is supported by R01MD011600

scholarly journals Poor sleep health and its association with mental health, substance use, and condomless anal intercourse among gay, bisexual, and other men who have sex with men

Sleep Health ◽  
2016 ◽  
Vol 2 (4) ◽  
pp. 316-321 ◽  
Author(s):  
Dustin T. Duncan ◽  
William C. Goedel ◽  
Kenneth H. Mayer ◽  
Steven A. Safren ◽  
Joseph J. Palamar ◽  
...  
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Anal Intercourse ◽  
Poor Sleep ◽  
Sleep Health ◽  
Condomless Anal Intercourse ◽  
Sex With Men

scholarly journals Association between sleep time and depression: a cross-sectional study from countries in rural Northeastern China

2017 ◽  
Vol 45 (3) ◽  
pp. 984-992 ◽  
Author(s):  
Jiang Mohan ◽  
Guo Xiaofan ◽  
Sun Yingxian
Keyword(s):  
Sleep Duration ◽  
Rural Areas ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Liaoning Province ◽  
Sectional Study ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
Long Sleep ◽  
Patient Health

Objective To investigate the current situation of sleep status and examine its association with depression among counties in rural areas of Liaoning Province, China. Methods This cross-sectional study was conducted from January 2012 to August 2013 in Northeast China. A total of 11,276 subjects aged ≥35 years were surveyed and completed the Patient Health Questionnaire-9; each participant answered questions about their sleep duration. Results For individuals with a sleep time of ≤6, 6–7, 7–8, 8–9, and ≥9 h, the respective risk of depression was 10.8%, 3.7%, 2.6%, 2.7%, and 5.7% in subjects younger than 65 years old and 15.2%, 5.4%, 3.2%, 6.5%, and 8.6% in those 65 years old or older. Conclusion In the rural population of Liaoning Province, sleep duration and depression are closely related. Both short sleep and long sleep are risk factors for depression. Optimizing sleep status may contribute to good physical and mental health.

scholarly journals Too Jittery to Sleep? Temporal Associations of Actigraphic Sleep and Caffeine in Adolescents

Nutrients ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 31
Author(s):  
Gina Marie Mathew ◽  
David A. Reichenberger ◽  
Lindsay Master ◽  
Orfeu M. Buxton ◽  
Anne-Marie Chang ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Caffeine Consumption ◽  
Sleep Health ◽  
Subjective Sleep Quality ◽  
Beverage Consumption ◽  
Wake Time ◽  
Regularity Index ◽  
Social Jetlag

Caffeine consumption has been linked to poor sleep health in adolescents, but it is unknown whether poor sleep predicts caffeine consumption, and/or whether caffeine consumption predicts poor sleep, particularly when sleep is measured objectively. Data were collected from a micro-longitudinal sub-study of the age 15 wave of the Fragile Families and Child Wellbeing Study (n = 589). Adolescents wore an actigraphy device and completed daily surveys for ~1 week. Daily surveys assessed subjective sleep quality and caffeinated beverage consumption (0 = no caffeine, 1 = any caffeine). Separate mixed models assessed whether actigraphy-measured sleep duration, timing, maintenance efficiency, and subjective quality predicted next-day caffeinated beverage consumption within and between adolescents. Variability (standard deviation) of sleep duration and timing, sleep regularity index, and social jetlag were tested as additional between-person predictors. Lagged models tested whether daily caffeinated beverage consumption predicted sleep that night (n = 458). Adolescents with more variable sleep duration and midpoint had higher average odds of consuming caffeinated beverages compared to others. After adolescents consumed ≥1 caffeinated beverage, they had later sleep onset that night and wake time the next morning than usual versus when they did not consume caffeine. Curbing caffeinated beverage consumption may aid in the maintenance of regular sleep schedules and advance sleep timing in adolescents.

scholarly journals The relationshipof the quality of sleep in patients with stage 5 chronickidney disease, treated with hemodialysis, with melatonin-producing function

2021 ◽  
pp. 23-30
Author(s):  
V. Ye. Кondratiuk ◽  
A. S. Petrova
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Pineal Gland ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Group I ◽  
Number Of Patients ◽  
Falling Asleep

The researcheddemonstrated the relationship between functional state of the pineal gland and sleepdeterioration. However, impaired melatonin-producing function of the pineal gland (MFE) in patients with chronic kidney disease (CKD), treated with hemodialysis (HD), and its association with sleep disturbance in this cohort of patients required further investigations.Aim — to assess the quality of sleepin patients with stage 5 CKD treated with HD and investigate itsrelationship with the pineal dysfunction.Materials and methods. Examinations involved 130 patients (50 % of men) with stage 5 CKD, treated with hemodialysis, with the mean age 58.5 [43; 66]. The day and night melatoninlevels (MT) in saliva were determined and based on the results the patients were divided into two groups: group I — 110 patients with impaired MFE, group II — 20 patients with normal MFE. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. All patients underwent clinical and laboratory tests: general and biochemical blood tests, office blood pressure (BP) measurements, Holter blood pressure monitoring.Results. Analysis of the insomniastructure in patients with stage 5 CKD, treated with HD, according to the PSQI questionnaire, demonstrated the problems with falling asleep in 96.2 % of patients, feeling of heat in 56.8 %, frequent awakenings in 52.9 %, daytime dysfunction in 40.8 %, breathing problems in 40.5 %, sleep problems due to coughing or snoring in 37.8 %, having bad dreams in 18.9 %, the use of sleeping meds in 8 % of patients. The total PSQI score in patients with impaired MFE was higher by 71.4 % (p < 0.001) compared to the value obtained in the group with preserved pineal gland function, demonstrating the effects of MFE on sleep quality.The component of «sleep delay» and «sleep duration» in patients with pineal gland dysfunction was 66.7 % higher than in the group with preserved MFE (p < 0.001). Comparative analysis of the number of minutes required for patients to fall asleep in the study groups demonstrateda greater sleep delay in HD-treated patients with impaired MFE. From them, the majority of subjects (71.8 %) needed more than 60 minutes to fall asleep, while in the group with preserved MFE such patients were not identified (p < 0.05). The number of patients with the period of falling asleep of 31 to 60 minutes in the group with pineal gland dysfunction was 30 % less than in patients with preserved MFE (p < 0.05). The number of patients in whom it took 16—30 minutes to fall asleep in the group with preserved MFE was 92.5 % (p < 0.05) more than in patients with pineal gland dysfunction, and patientswith the period of falling asleep of less than 15 minutes was by 62 % higher than patients with impaired MFE (p < 0.05). The decreased sleep duration was established in all patients treated with HD, however the most worsening of the sleep quality was revealed in the groupof MFE disorders. Thus, thenumber of patients with sleep duration < 5 hourswas by 90.8 % (р < 0.05) higher in the groupof impairedMFEvs group with the preserved MFE, with sleep duration of 5—6 hours by 81.7 % (р < 0.05), the number of subjects with duration of 6—7 hours by 76.4 % lower (р < 0.05), and those who slept > 7 hours by 84.0 % (р < 0.05).Conclusions. Patients with stage 5 CKD, treated with HD, were characterized with combination of MFE impairment (84.6 %) with poor sleep quality (86.2 %), including problems withfalling asleep, felling hot, frequent waking up, and daytime dysfunction. The low quality of sleep was determined bylow melatonin levels in saliva, the presence of hypoalbuminemia and arterial hypertension, hypertension duration and HDtreatment

scholarly journals Sleep and mental health in athletes during COVID-19 lockdown

SLEEP ◽  
2021 ◽  
Author(s):  
Elise R Facer-Childs ◽  
Daniel Hoffman ◽  
Jennie N Tran ◽  
Sean P A Drummond ◽  
Shantha M W Rajaratnam
Keyword(s):  
Mental Health ◽  
Social Engagement ◽  
Sleep Time ◽  
Optimal Recovery ◽  
Lifestyle Factors ◽  
Mitigation Strategies ◽  
Physical And Mental Health ◽  
Related Factors ◽  
The World ◽  
Australian Football

Abstract The global coronavirus 19 (COVID-19) pandemic and associated lockdown restrictions resulted in the majority of sports competitions around the world being put on hold. This includes the National Basketball Association, the UEFA Champions League, Australian Football League, the Tokyo 2020 Olympic Games, and regional competitions. The mitigation strategies in place to control the pandemic have caused disruption to daily schedules, working environments, and lifestyle factors. Athletes rely on regular access to training facilities, practitioners, and coaches to maintain physical and mental health to achieve maximal performance and optimal recovery. Furthermore, participation in sport at any level increases social engagement and promotes better mental health. It is, therefore, critical to understanding how the COVID-19 pandemic and associated lockdown measures have affected the lives of athletes. We surveyed elite and sub-elite athletes (n = 565) across multiple sports. Significant disruptions were reported for all lifestyle factors including social interactions, physical activity, sleep patterns, and mental health. We found a significant increase in total sleep time and sleep latency, as well as a delay in mid-sleep times and a decrease in social jetlag. Training frequency and duration significantly decreased. Importantly, the changes to training and sleep-related factors were associated with mental health outcomes. With spikes in COVID-19 cases rising around the world and governments reinstituting lockdowns (e.g. United Kingdom; Melbourne, Australia; California, USA) these results will inform messaging and strategies to better manage sleep and mental health in a population for whom optimal performance is critical.

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