scholarly journals Impact of Urban Environment on Students’ Daily Rhythms and Sleep Patterns

2020 ◽  
Vol 169 ◽  
pp. 04007
Author(s):  
Elena A. Piven ◽  
Nikolay P. Piven ◽  
Nikolay N. Bushuev
Keyword(s):  
Urban Environment ◽  
Sleep Duration ◽  
Daily Activity ◽  
Average Duration ◽  
Well Being ◽  
Sleep Time ◽  
Learning Ability ◽  
Daily Rhythms ◽  
Night Sleep ◽  
Sleep Patterns

This article presents the results of a research of the sleep patterns of 200 students living in dormitories in Moscow. The average duration of night sleep in the surveyed group was 6h 37min. The proportion of students satisfied with the duration of night sleep was 36.5 %. Daily activity rhythms, in particular, the going to sleep and awakening time at the same time, are compiled by 47.5 % of the surveyed students. 86.5 % of students go to bed after midnight. The most late going to sleep time is observed among students of the 1st and 4th years. 37 % of students suffer from insomnia, which is most often caused by stress and work in extracurricular time. It was found that the best indicators of well-being and learning ability were observed at night sleep duration from 6 to 8 hours. When the duration of night sleep is less than 6 hours, there was a deterioration in the state of students’ health, wellbeing and learning ability. It was revealed that 92.2 % of students who fall ill three or more times a year have a night sleep duration of less than 6 hours.

scholarly journals Sleep Patterns and Alertness in an Elite Super Rugby Team During a Game Week

2019 ◽  
Vol 67 (1) ◽  
pp. 111-121
Author(s):  
Ian C Dunican ◽  
Charles C Higgin ◽  
Kevin Murray ◽  
Maddison J Jones ◽  
Brian Dawson ◽  
...  
Keyword(s):  
Reaction Time ◽  
Mathematical Modelling ◽  
Sleep Duration ◽  
Early Morning ◽  
Rugby Union ◽  
Night Sleep ◽  
Sleep Patterns ◽  
Wake Time ◽  
Vital Component ◽  
Game Players

AbstractSleep is a vital component of preparation, performance and recovery for a Super Rugby game. The purpose of this study was to quantify sleep behaviours and alertness of professional rugby union players during training and a game. Thirty-six rugby union players from a Super Rugby team wore a wrist-activity device (Readiband™) to measure sleep for 3 days before, 3 days after and on the night of an evening game. Players were separated into those selected to play the game (n = 23) and those who were not (n = 13). Alertness was assessed for all training and game times using bio-mathematical modelling. Alertness measures ≤90% were considered to reflect impaired reaction time. Those selected to play in the game progressively increased sleep duration over the nights prior to the game (by 92 min p ≤ 0.05) by delaying wake time. Players went to bed later after the game (02:20 ± 114 min vs 22:57 ± 60 min; p ≤ 0.001) which resulted in decreased sleep duration on game night compared to pre-game nights (296 ± 179 min vs 459 ± 78 min; p ≤ 0.05). Four players did not achieve any sleep on game night. Sleep duration appeared to be truncated by early morning training sessions (before 08:00) on the second and third mornings after the game. Alertness was >90% for all training and game times for all players. In conclusion, in the days leading into a Super Rugby game, players delay morning time at wake and consequently increase sleep duration with post-game sleep reduced in some.

"Utilization of smart thermostat data at the population level to identify sleep parameters and time spent at home" (Preprint)

2021 ◽  
Author(s):  
Niloofar Jalali ◽  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Plinio Pelegrini Morita
Keyword(s):  
Sleep Duration ◽  
Smart Home ◽  
Population Level ◽  
Sleep Time ◽  
Sleep Patterns ◽  
Level Data ◽  
Sleep Parameters ◽  
Reported Data ◽  
Smart Thermostat ◽  
At Home

BACKGROUND Sleep behaviour and time spent at home are important determinants of human health. Research on sleep patterns has traditionally relied on self-reported data. This methodology suffers from bias and population-level data collection is challenging. Advances in Smart Home technology and the Internet of Things (IoT) have the potential to overcome these challenges to behavioural monitoring. OBJECTIVE The objective of this study is to evaluate the use of smart home thermostat data to evaluate household sleep patterns and the time spent at home, and how these behaviours are influenced by weekday, seasonal and seasonal weekday variations. METHODS The 2018 ecobee "Donate your Data" dataset for 481 North American households was collected for use in this study. Daily sleep cycles were identified based on sensor activation and used to quantify sleep time, wake-up time, sleep duration, and time spent at home. Each household's record was divided into different subsets based on seasonal, weekday, and seasonal weekday scales. RESULTS Overall, our results indicate that sleep parameters (sleep time, wake-up time, and sleep duration) were significantly influenced by the day of the week but were not strongly affected by season. In contrast, time spent at home was dependent on both weekdays and the season. CONCLUSIONS This is the first study to utilize smart home thermostat data to monitor sleep parameters and time spent at home and their dependence on weekdays, seasonal, and seasonal weekday variations at the population level. This type of analysis can influence and report on public health policy at the population level.

SLEEP PATTERNS IN PRE-ADOLESCENT CHILDREN: AN EEG-EOG STUDY

PEDIATRICS ◽  
1968 ◽  
Vol 42 (2) ◽  
pp. 324-335 ◽  
Author(s):  
John J. Ross ◽  
Harman W. Agnew ◽  
Robert L. Williams ◽  
Wilse B. Webb
Keyword(s):  
Total Sleep Time ◽  
Sleep Stage ◽  
Sleep Time ◽  
Sleep Pattern ◽  
Adolescent Male ◽  
Sleep Stages ◽  
Night Sleep ◽  
Sleep Patterns ◽  
Unequal Distribution ◽  
Older Subjects

The typical all-night sleep pattern of the pre-adolescent male was determined by analyzing the simultaneous EEG-EOG tracings of 18 healthy schoolboys (range 8 to 11 years). The sleep patterns of these boys resembled that of older subjects by the occurrence of a more or less orderly sequence of sleep stages which spontaneously shifted from one stage to another. Stability of the pattern for a given boy was observed in the consistent amount of time spent in each sleep stage and in the number of sleep stage changes night after night. When compared with the adult sleep patterns, pre-adolescent total sleep time was 2½ hours longer with unequal distribution of the added time to each of the sleep stages. Sleep stages in children are longer in duration than in adults, and the sleep patterns are as stable as that of the adult.

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

2020 ◽  
Vol 20 (1) ◽  
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.

scholarly journals Sleep and chronotype in relation to work-related stress and negative affect: The moderating role of a flexible start of work

2021 ◽  
Author(s):  
Christina Saalwirth ◽  
Bernhard Leipold
Keyword(s):  
Negative Affect ◽  
Sleep Duration ◽  
Well Being ◽  
Sleep Time ◽  
Negative Effects ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Work Related Stress ◽  
Work Related ◽  
Related Stress

Abstract Objectives The present study investigated the relationships between sleep (sleep duration and need for additional sleep time in the morning), chronotype, work-related stress, and negative affect in daytime workers. Furthermore, it was examined whether a flexible start of work moderates these relationships. Methods A cross-sectional online study was conducted. Participants were 438 (247 female) daytime workers between 18 and 73 years (mean = 37.68, standard deviation = 12.39). The questionnaire included the “sleep duration” subscale of the Pittsburgh Sleep Quality Index (PSQI), the Morningness–Eveningness Questionnaire (MEQ), two subscales of the Trier Inventory for the Assessment of Chronic Stress (TICS), the negative affect scale of the Positive and Negative Affect Schedule (PANAS), questions regarding how many minutes participants would like to sleep longer in the morning, and how flexible their start of work is. Results Short sleep duration and a greater need for additional sleep in the morning were significantly associated with late chronotype. Shorter sleep duration, a greater need for additional sleep, and a late chronotype were associated with higher work-related stress and negative affect. A flexible start of work moderated these relationships: People with longer sleep duration, less need for additional sleep time, and an early chronotype showed lower stress and negative affect levels when having a flexible start of work. A flexible start of work showed no or negative effects on workers with shorter sleep duration, a greater need for additional sleep time, or a late chronotype. Conclusions The effect of a flexible start of work for daytime worker’s well-being depends on a person’s individual sleep timing and chronotype.

scholarly journals Sleep Duration as the Main Indicator of Self-Rated Wellness and Health among Healthcare Workers Involved in the COVID-19 Pandemic

2021 ◽  
Vol 19 (1) ◽  
pp. 136
Author(s):  
Maryam Masoumi ◽  
Kamyar Shokraee ◽  
Somayeh Mohammadi ◽  
Soroush Moradi ◽  
Mohammad Bagherzade ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Sleep Duration ◽  
Healthcare Workers ◽  
Social Activity ◽  
Well Being ◽  
Health Index ◽  
Linear Regression Models ◽  
Night Sleep

Objective: This study was performed during the COVID-19 pandemic to better understand the indicators of self-rated wellness and health among healthcare workers. Methods: Sleep pattern, mood status, nutritional condition, physical activity, habits and the subjective wellness and health index of the healthcare workers of a university affiliated hospital were surveyed. Paired t-tests were performed to compare the participants’ quality of life before and after the outbreak of COVID-19. Multivariable linear regression models with a backward elimination stepwise process determined the parameters that significantly correlated with self-reported wellness and health. Results: Of the 200 healthcare workers who participated in this study, 119 (60%) were female and 81 (40%) were male, with a mean (SD) age of 28.8 (5.9) years. We found that the COVID-19 pandemic significantly changed many lifestyle factors compared to the pre-pandemic states. The scores of sleep quality, mood status, pre-planned physical activity and social activity were reduced by 30%, 40%, 50% and 70%, respectively. The average night sleep duration before the pandemic was 7 h and 22 min, whereas during the pandemic it decreased to 6 h and 44 min, a debt of 38 min in sleep duration every night. As found by multivariable regression modelling, self-reported wellness and health before the pandemic period was associated with wake-up time, mood status, physical activity and diet. During the pandemic period, in addition to these variables, night sleep duration (β = 0.049, p = 0.049) and nap duration (β = 0.009, p = 0.01) were left in the final multivariable model and correlated significantly with the wellness and health index. Conclusion: COVID-19 has detrimentally affected healthcare workers’ well-being and quality of life. Sleep duration was the main factor correlated with subjective wellness and health index during the current COVID-19 pandemic.

scholarly journals Prospective Examination of Adolescent Sleep Patterns and Behaviors Before and During COVID-19

2021 ◽  
Author(s):  
Stephen P. Becker ◽  
Melissa Dvorsky ◽  
Rosanna Breaux ◽  
Caroline Cusick ◽  
Katherine Taylor ◽  
...  
Keyword(s):  
Negative Affect ◽  
Health Behaviors ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Night Sleep ◽  
Sleep Patterns ◽  
Full Sample ◽  
Adolescent Sleep ◽  
Delayed Sleep ◽  
Negative Impacts

Study Objectives: To prospectively examine changes in adolescent sleep before and during the COVID-19 pandemic in adolescents with and without ADHD. Methods: Participants were 122 adolescents (ages 15-17; 61% male; 48% with ADHD). Parents reported on adolescents’ sleep duration and difficulties initiating and maintaining sleep (DIMS); adolescents reported on sleep patterns, sleep duration, delayed sleep/wake behaviors, and daytime sleepiness before (September 2019-February 2020) and during (May-June 2020) COVID-19. Adolescents also reported on their health behaviors, COVID-19-related negative affect, and difficulties concentrating due to COVID-19.Results: Parents reported adolescents had more DIMS during COVID-19 than before COVID-19, with clinically-elevated rates increasing from 24% to 36%. Both bedtimes and waketimes shifted later during COVID-19, and adolescents reported more delayed sleep/wake behaviors. Adolescents also reported less daytime sleepiness and longer school night sleep duration during COVID-19. In considering differences between adolescents with and without ADHD, adolescents with ADHD did not experience an increase in school night sleep duration and were less likely to obtain recommended sleep duration during COVID-19. In the full sample, controlling for ADHD status, COVID-19-related sadness/loneliness was associated with increases in DIMS, and spending less time outside and more COVID-19-related worries/fears were associated with increases in delayed sleep/wake behaviors during COVID-19. Conclusions: COVID-19 had negative and positive impacts on adolescent sleep. Adolescents with ADHD did not experience the benefit of increased school night sleep duration during COVID-19 like adolescents without ADHD. Negative affect and health behaviors may be useful intervention targets for reducing negative impacts of COVID-19 for adolescent sleep.

scholarly journals Prospective examination of adolescent sleep patterns and behaviors before and during COVID-19

SLEEP ◽  
2021 ◽  
Author(s):  
Stephen P Becker ◽  
Melissa R Dvorsky ◽  
Rosanna Breaux ◽  
Caroline N Cusick ◽  
Katherine P Taylor ◽  
...  
Keyword(s):  
Negative Affect ◽  
Health Behaviors ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Night Sleep ◽  
Sleep Patterns ◽  
Full Sample ◽  
Adolescent Sleep ◽  
Delayed Sleep ◽  
Negative Impacts

Abstract Study Objectives To prospectively examine changes in adolescent sleep before and during the COVID-19 pandemic in adolescents with and without ADHD. Methods Participants were 122 adolescents (ages 15–17; 61% male; 48% with ADHD). Parents reported on adolescents’ sleep duration and difficulties initiating and maintaining sleep (DIMS); adolescents reported on sleep patterns, sleep duration, delayed sleep/wake behaviors, and daytime sleepiness before (September 2019 to February 2020) and during (May–June 2020) COVID-19. Adolescents also reported on their health behaviors, COVID-19-related negative affect, and difficulties concentrating due to COVID-19. Results Parents reported adolescents had more DIMS during COVID-19 than before COVID-19, with clinically elevated rates increasing from 24% to 36%. Both bedtimes and waketimes shifted later during COVID-19, and adolescents reported more delayed sleep/wake behaviors. Adolescents also reported less daytime sleepiness and longer school night sleep duration during COVID-19. In considering differences between adolescents with and without ADHD, adolescents with ADHD did not experience an increase in school night sleep duration and were less likely to obtain recommended sleep duration during COVID-19. In the full sample, controlling for ADHD status, COVID-19-related sadness/loneliness was associated with increases in DIMS, and spending less time outside and more COVID-19-related worries/fears were associated with increases in delayed sleep/wake behaviors during COVID-19. Conclusions COVID-19 had negative and positive impacts on adolescent sleep. Adolescents with ADHD did not experience the benefit of increased school night sleep duration during COVID-19 like adolescents without ADHD. Negative affect and health behaviors may be useful intervention targets for reducing negative impacts of COVID-19 for adolescent sleep.

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

SLEEP ◽  
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&lt;.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&lt; .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):

scholarly journals The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Stephen M. Mattingly ◽  
Ted Grover ◽  
Gonzalo J. Martinez ◽  
Talayeh Aledavood ◽  
Pablo Robles-Granda ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Seasonal Effects ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Sleep Behavior ◽  
Weather Effects ◽  
Wake Time ◽  
Multimodal Sensing ◽  
Four Seasons ◽  
Local Weather

AbstractPrevious studies of seasonal effects on sleep have yielded unclear results, likely due to methodological differences and limitations in data size and/or quality. We measured the sleep habits of 216 individuals across the U.S. over four seasons for slightly over a year using objective, continuous, and unobtrusive measures of sleep and local weather. In addition, we controlled for demographics and trait-like constructs previously identified to correlate with sleep behavior. We investigated seasonal and weather effects of sleep duration, bedtime, and wake time. We found several small but statistically significant effects of seasonal and weather effects on sleep patterns. We observe the strongest seasonal effects for wake time and sleep duration, especially during the spring season: wake times are earlier, and sleep duration decreases (compared to the reference season winter). Sleep duration also modestly decreases when day lengths get longer (between the winter and summer solstice). Bedtimes and wake times tend to be slightly later as outdoor temperature increases.

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