Perceived daily sleep need and sleep debt in adolescents: associations with daily affect over school and vacation periods

SLEEP ◽  
2021 ◽  
Author(s):  
Lin Shen ◽  
Joshua F Wiley ◽  
Bei Bei
Keyword(s):  
Sleep Duration ◽  
Multilevel Models ◽  
Weighted Average ◽  
Daily Basis ◽  
Future Research ◽  
The Past ◽  
Sleep Debt ◽  
Daily Affect ◽  
Day Of The Week ◽  
The Difference

Abstract Study Objectives To describe trajectories of perceived daily sleep need and sleep debt, and examine if cumulative perceived sleep debt predicts next-day affect. Methods Daily sleep and affect were measured over 2 school weeks and 2 vacation weeks (N=205, 54.1% females, M±SDage = 16.9±0.87 years). Each day, participants wore actigraphs and self-reported the amount of sleep needed to function well the next day (i.e., perceived sleep need), sleep duration, and high- and low-arousal positive and negative affect (PA, NA). Cumulative perceived sleep debt was calculated as the weighted average of the difference between perceived sleep need and sleep duration over the past 3 days. Cross-lagged, multilevel models were used to test cumulative sleep debt as a predictor of next-day affect. Lagged affect, day of the week, study day, and sociodemographics were controlled. Results Perceived sleep need was lower early in the school week, before increasing in the second half of the week. Adolescents accumulated perceived sleep debt across school days and reduced it during weekends. On weekends and vacations, adolescents self-reported meeting their sleep need, sleeping the amount, or more than the amount of sleep they perceived as needing. Higher cumulative actigraphy sleep debt predicted higher next-day high arousal NA; higher cumulative diary sleep debt predicted higher NA (regardless of arousal), and lower low arousal PA the following day. Conclusion Adolescents experienced sustained, cumulative perceived sleep debt across school days. Weekends and vacations appeared to be opportunities for reducing sleep debt. Trajectories of sleep debt during vacation suggested recovery from school-related sleep restriction. Cumulative sleep debt was related to affect on a daily basis, highlighting the value of this measure for future research and interventions.

Perceived sleep need, cumulative sleep deficit, and associations with daily affect in adolescents: A 28-day study over school and vacation periods

2021 ◽  
Author(s):  
Lin Shen ◽  
Joshua F. Wiley ◽  
Bei Bei
Keyword(s):  
Sleep Duration ◽  
Multilevel Models ◽  
Weighted Average ◽  
Sleep Restriction ◽  
Positive And Negative Affect ◽  
The Past ◽  
Daily Affect ◽  
Day Of The Week ◽  
The Difference ◽  
Sleep Deficit

Study Objectives: To describe trajectories of daily perceived sleep need (PSNeed) and sleep deficit across 28 consecutive days, and examine if cumulative sleep deficit predicts next-day affect.Methods: Daily sleep and affect were measured over 2 weeks of school and 2 weeks of vacation in 205 adolescents (54.1% females, Mage = 16.9 years). Each day, participants wore actigraphs and self-reported the amount of sleep needed to function well the next day (i.e., perceived sleep need), sleep duration, and high- and low-arousal positive and negative affect (PA, NA). Cumulative actigraphy and diary sleep deficit were calculated as the weighted average of the difference between PSNeed and sleep duration over the past 3 days. Cross-lagged, multilevel models were used to test cumulative sleep deficit as a predictor of next-day affect. Lagged affect, day of the week, study day, and sociodemographics were controlled.Results: PSNeed was lower early in the school week, before increasing in the second half of the week. Adolescents accumulated sleep deficit across school days and reduced it during weekends. During weekends and vacations, adolescents’ self-reported, but not actigraphy sleep duration, met PSNeed. Higher cumulative actigraphy sleep deficit predicted higher next-day high arousal NA; higher cumulative diary sleep deficit predicted higher NA (regardless of arousal), and lower low arousal PA the following day.Conclusions: Adolescents experienced sustained cumulative sleep deficit across school days. Non-school nights appeared to be opportunities for reducing sleep deficit. Trajectories of sleep deficit during vacation suggested recovery from school-related sleep restriction.

149 Perceived sleep need, cumulative sleep deficit, and associations with daily affect in adolescents: 28 days over school & vacation

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A61-A61
Author(s):  
Lin Shen ◽  
Joshua Wiley ◽  
Bei Bei
Keyword(s):  
Negative Affect ◽  
Sleep Duration ◽  
Multilevel Models ◽  
Daily Basis ◽  
Future Research ◽  
Positive And Negative Affect ◽  
The Past ◽  
Daily Affect ◽  
Day Of The Week ◽  
Sleep Deficit

Abstract Introduction This study aimed to describe trajectories of daily perceived sleep need and sleep deficit across 28 consecutive days, and examine if cumulative sleep deficit predicts next-day affect. Methods Daily sleep and affect were measured over 2 weeks of school and 2 weeks of vacation in 205 adolescents (54.1% females, Mage = 16.9 years). Each day, participants completed actigraphy and self-reported the amount of sleep needed to function well the next day (i.e., perceived sleep need), sleep duration, and high- and low-arousal positive and negative affect. Cumulative actigraphy and diary sleep deficit were calculated as difference between perceived sleep need and sleep duration, weighted by sleep deficit over the past 3 days. Cross-lagged, multilevel models were used to test cumulative sleep deficit as a predictor of next-day affect. Lagged affect, day of the week, study day, and sociodemographics were controlled. Results Perceived sleep need was lower early in the school week, before increasing in the second half of the week. Adolescents accumulated sleep deficit across school days and reduced it during weekends. During weekends and vacations, adolescents’ self-reported, but not actigraphy sleep duration, met perceived sleep need. Higher cumulative actigraphy sleep deficit predicted higher next-day high arousal negative affect; higher cumulative diary sleep deficit predicted higher negative affect (regardless of arousal), and lower low arousal positive affect the following day. Conclusion Adolescents experienced sustained cumulative sleep deficit across school days, and whilst non-school nights appeared to be opportunities for reducing sleep deficit. Trajectories of sleep deficit during vacation suggested recovery from school-related sleep restriction. Cumulative sleep deficit was related to affect on a daily basis, highlighting the value of this measure for future research and interventions. Support (if any):

scholarly journals Work Habit-Related Sleep Debt; Insights From Factor Identification Analysis of Actigraphy Data

2021 ◽  
Vol 9 ◽  
Author(s):  
Yuki Goto ◽  
Koichi Fujiwara ◽  
Yukiyoshi Sumi ◽  
Masahiro Matsuo ◽  
Manabu Kano ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Daily Activity ◽  
Activity Rhythm ◽  
Support Vector ◽  
Activity Data ◽  
Sleep Debt ◽  
Wrist Actigraphy ◽  
Work Habit ◽  
Day Of The Week ◽  
The Difference

The present study investigates the factors of “Weekday sleep debt (WSD)” by comparing activity data collected from persons with and without WSD. Since it has been reported that the amount of sleep debt as well the difference between the social clock and the biological clock is associated with WSD, specifying the factors of WSD other than chronotype may contribute to sleep debt prevention. We recruited 324 healthy male employees working at the same company and collected their 1-week wrist actigraphy data and answers to questionnaires. Because 106 participants were excluded due to measurement failure of the actigraphy data, the remaining 218 participants were included in the analysis. All participants were classified into WSD or non-WSD groups, in which persons had WDS if the difference between their weekend sleep duration and the mean weekday sleep duration was more than 120 min. We evaluated multiple measurements derived from the collected actigraphy data and trained a classifier that predicts the presence of WSD using these measurements. A support vector machine (SVM) was adopted as the classifier. In addition, to evaluate the contribution of each indicator to WSD, permutation feature importance was calculated based on the trained classifier. Our analysis results showed significant importance of the following three out of the tested 32 factors: (1) WSD was significantly related to persons with evening tendency. (2) Daily activity rhythms and sleep were less stable in the WSD group than in the non-WSD group. (3) A specific day of the week had the highest importance in our data, suggesting that work habit contributes to WSD. These findings indicate some WSD factors: evening chronotype, instability of the daily activity rhythm, and differences in work habits on the specific day of the week. Thus, it is necessary to evaluate the rhythms of diurnal activities as well as sleep conditions to identify the WSD factors. In particular, the diurnal activity rhythm influences WSD. It is suggested that proper management of activity rhythm may contribute to the prevention of sleep debt.

Sleep health in U.S. adults before and during the COVID-19 pandemic

2020 ◽  
Author(s):  
Garrett Hisler ◽  
Jean Twenge
Keyword(s):  
Sleep Duration ◽  
Representative Sample ◽  
The United States ◽  
Future Research ◽  
Racial Groups ◽  
Sleep Health ◽  
The Past ◽  
Falling Asleep ◽  
Interview Survey ◽  
Nationally Representative

Understanding how health has changed in response to the COVID-19 pandemic is critical to reducing and recovering from the pandemic. This study focused on how sleep health in the United States may have been impacted by the COVID-19 pandemic. Sleep duration and number of days in the past week with difficulty falling asleep, difficulty staying asleep, and not feeling rested in a nationally representative sample of U.S. adults collected before the COVID-19 outbreak (2018 National Health Interview Survey, n = 19,433) was compared to the same measures in a nationally representative sample of U.S. adults collected during the COVID-19 outbreak (2020 Luc.id, n = 2,059). Sleep duration was slightly shorter in 2020 than 2018 (d = -.05). Moreover, the prevalence of insufficient sleep duration (RR = 1.20) and the number of days with difficulty falling asleep (d = .54), difficulty staying asleep (d =.36), and not feeling rested (d = .14) was greater in 2020 than 2018. Twice as many people in 2020 reported experiencing at least one night of difficulty falling asleep (RR = 1.95) or staying asleep (RR = 1.75). Adults younger than 60 and those who belonged to an Asian racial group had larger differences than other age and racial groups between 2018 and 2020. Thus, sleep health in U.S. adults was worse in 2020 than in 2018, particularly in younger and Asian adults. Findings highlight sleep as target in future research and interventions seeking to understand and reduce the effects of the spread of COVID-19.

Associations Between Everyday Discrimination and Sleep: Tests of Moderation by Ethnicity and Sense of Purpose

2021 ◽  
Author(s):  
Patrick L Hill ◽  
Nancy L Sin ◽  
Grant W Edmonds ◽  
Anthony L Burrow
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Ethnically Diverse ◽  
Future Research ◽  
Japanese American ◽  
Full Sample ◽  
The Past ◽  
Sense Of Purpose ◽  
Everyday Discrimination

Abstract Background Everyday discrimination holds pernicious effects across most aspects of health, including a pronounced stress response. However, work is needed on when discrimination predicts sleep outcomes, with respect to potential moderators of these associations. Purpose The current study sought to advance the past literature by examining the associations between everyday discrimination and sleep outcomes in an ethnically diverse sample, allowing tests of moderation by ethnic group. We also examined the role of sense of purpose, a potential resilience factor, as another moderator. Methods Participants in the Hawaii Longitudinal Study of Personality and Health (n = 758; 52.8% female; mage: 60 years, sd = 2.03) completed assessments for everyday discrimination, sleep duration, daytime dysfunction due to sleep, sleep quality, and sense of purpose. Results In the full sample, everyday discrimination was negatively associated with sleep duration, sleep quality, and sense of purpose, while positively associated with daytime dysfunction due to sleep. The associations were similar in magnitude across ethnic groups (Native Hawaiian, White/Caucasian, Japanese/Japanese-American), and were not moderated by sense of purpose, a potential resilience factor. Conclusions The ill-effects on health due to everyday discrimination may operate in part on its role in disrupting sleep, an issue that appears to similarly impact several groups. The current research extends these findings to underrepresented groups in the discrimination and sleep literature. Future research is needed to better disentangle the day-to-day associations between sleep and discrimination, and identify which sources of discrimination may be most problematic.

scholarly journals Are weak or negative clinical recommendations associated with higher geographical variation in utilisation than strong or positive recommendations? Cross-sectional study of 24 healthcare services

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e044090
Author(s):  
Agne Ulyte ◽  
Wenjia Wei ◽  
Oliver Gruebner ◽  
Caroline Bähler ◽  
Beat Brüngger ◽  
...  
Keyword(s):  
Geographical Variation ◽  
Multilevel Models ◽  
Healthcare Services ◽  
Cross Sectional Study ◽  
Future Research ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mandatory Health Insurance ◽  
The Difference ◽  
Unwarranted Variation

ObjectivesWhen research evidence is lacking, patient and provider preferences, expected to vary geographically, might have a stronger role in clinical decisions. We investigated whether the strength or the direction of recommendation is associated with the degree of geographic variation in utilisation.DesignIn this cross-sectional study, we selected 24 services following a comprehensive approach. The strength and direction of recommendations were assessed in duplicate. Multilevel models were used to adjust for demographic and clinical characteristics and estimate unwarranted variation.SettingObservational study of claims to mandatory health insurance in Switzerland in 2014.ParticipantsEnrolees eligible for the 24 healthcare services.Primary outcome measuresThe variances of regional random effects, also expressed as median odds ratios (MOR). Services grouped by strength and direction of recommendations were compared with Welch’s t-test.ResultsThe sizes of the eligible populations ranged from 1992 to 409 960 patients. MOR ranged between 1.13 for aspirin in secondary prevention of myocardial infarction to 1.68 for minor surgical procedures performed in inpatient instead of outpatient settings. Services with weak recommendations had a negligibly higher variance and MOR (difference in means (95% CI) 0.03 (−0.06 to 0.11) and 0.05 (−0.11 to 0.21), respectively) compared with strong recommendations. Services with negative recommendations had a slightly higher variance and MOR (difference in means (95% CI) 0.07 (−0.03 to 0.18) and 0.14 (−0.06 to 0.34), respectively) compared with positive recommendations.ConclusionsIn this exploratory study, the geographical variation in the utilisation of services associated with strong vs weak and negative vs positive recommendations was not substantially different, although the difference was somewhat larger for negative vs positive recommendations. The relationships between the strength or direction of recommendations and the variation may be indirect or modified by other characteristics of services. As initiatives discouraging low-value care are gaining attention worldwide, these findings may inform future research in this area.

scholarly journals Factors Affecting Completion Times: A Comparative Analysis of Smartphone and PC Web Surveys

2019 ◽  
Vol 38 (4) ◽  
pp. 477-489
Author(s):  
Christopher Antoun ◽  
Alexandru Cernat
Keyword(s):  
Multilevel Models ◽  
Time Difference ◽  
Future Research ◽  
Web Survey ◽  
Text Entry ◽  
Internet Studies ◽  
Factors Affecting ◽  
Timing Data ◽  
The Difference ◽  
Completion Times

This article compares the factors affecting completion times (CTs) to web survey questions when they are answered using two different devices: personal computers (PCs) and smartphones. Several studies have reported longer CTs when respondents use smartphones than PCs. This is a concern to survey researchers because longer CTs may increase respondent burden and the risk of breakoff. However, few studies have analyzed the specific reasons for the time difference. In this analysis, we analyzed timing data from 836 respondents who completed the same web survey twice, once using a smartphone and once using PC, as part of a randomized crossover experiment in the Longitudinal Internet Studies for the Social Sciences panel. The survey contained a mix of questions (single choice, numeric entry, and text entry) that were displayed on separate pages. We included both page-level and respondent-level factors that may have contributed to the time difference between devices in cross-classified multilevel models. We found that respondents took about 1.4 times longer when using smartphones than PCs. This difference was larger when a page had more than one question or required text entry. The difference was also larger among respondents who had relatively low levels of familiarity and experience using smartphones. Respondent multitasking was associated with slower CTs, regardless of the device used. Practical implications and avenues for future research are discussed.

A window into Eve Online

2014 ◽  
Vol 9 (2) ◽  
pp. 174-189
Author(s):  
Adam Steinke ◽  
Phil Millage
Keyword(s):  
Social Networking Sites ◽  
Design Methodology ◽  
Daily Basis ◽  
Future Research ◽  
Single Server ◽  
Computer Gaming ◽  
Content Type ◽  
Republic Of China ◽  
The Past ◽  
The Government

Purpose – The purpose of this paper is to study Eve Online. Most people use their computers to surf the Web, check e-mails, Facebook, Twitter, YouTube or various other social networking sites. Although computer gaming has been around for years, only in the past 10-15 years has it really taken off as a primary use for a desktop. Design/methodology/approach – Individuals use computers as a tool, to relax and get away and, in the case of Massive Multilayer Online games (MMOs), they use computers as a gateway to a virtual world. MMOs are fairly new to the gaming world, yet the concept is simple. Combine all the game players and throw them into a single intractable game, where they can deal with other players on a daily basis, essentially creating a metaverse. Findings – Eve Online is unlike any MMO out there on the market today. Created by the company CCP that is based in Iceland, Eve Online is the world’s only true sandbox game. A sandbox game is a game that allows the player to do whatever they want with no or few restrictions. Originality/value – Everyone that plays Eve Online is put on a single server called Tranquility. However, there is a separate server for people who play in the People’s Republic of China because of legal reasons imposed by the government. We examine Eve Online and make suggestions for future research to examine country differences with China.

scholarly journals Investigating the within-person relationships between activity levels and sleep duration using Fitbit data

2020 ◽  
Author(s):  
Yue Liao ◽  
Michael C Robertson ◽  
Andrea Winne ◽  
Ivan H C Wu ◽  
Thuan A Le ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Daily Activity ◽  
Multilevel Models ◽  
Daily Basis ◽  
Activity Levels ◽  
Obese Adults ◽  
Reciprocal Relationships ◽  
Future Studies ◽  
Significant Relationships

Abstract The advancement of wearable technologies provides opportunities to continuously track individuals’ daily activity levels and sleep patterns over extended periods of time. These data are useful in examining the reciprocal relationships between physical activity and sleep at the intrapersonal level. The purpose of this study is to test the bidirectional relationships between daily activity levels and sleep duration. The current study analyzed activity and sleep data collected from a Fitbit device as part of a 6 month employer-sponsored weight loss program. A total of 105 overweight/obese adults were included (92% female, 70% obese, and 44% Hispanic). Multilevel models were used to examine (a) whether daily active and sedentary minutes predicted that night’s sleep duration and (b) whether sleep duration predicted active and sedentary minutes the following day. Potential extended effects were explored by using a 2 day average of the activity minutes/sleep duration as the predictor. No significant relationships between active minutes and sleep duration were found on a daily basis. However, having less sleep over two nights than one’s usual level was associated with an increased likelihood of engaging in some physical activity the following day. There was a significant bidirectional negative association between sedentary minutes and sleep duration for both the daily and 2 day models. Data from wearable trackers, such as Fitbit, can be used to investigate the daily within-person relationship between activity levels and sleep duration. Future studies should investigate other sleep metrics that may be obtained from wearable trackers, as well as potential moderators and mediators of daily activity levels and sleep.

Comparative Effects of High-Tech Visual Scene Displays and Low-Tech Isolated Picture Symbols on Engagement From Students With Multiple Disabilities

2019 ◽  
Vol 50 (4) ◽  
pp. 693-702 ◽  
Author(s):  
Christine Holyfield ◽  
Sydney Brooks ◽  
Allison Schluterman
Keyword(s):  
Language Learning ◽  
Augmentative And Alternative Communication ◽  
Visual Analysis ◽  
Multiple Disabilities ◽  
Visual Scene ◽  
Future Research ◽  
High Tech ◽  
Single Subject ◽  
Wide Range ◽  
The Difference

Purpose Augmentative and alternative communication (AAC) is an intervention approach that can promote communication and language in children with multiple disabilities who are beginning communicators. While a wide range of AAC technologies are available, little is known about the comparative effects of specific technology options. Given that engagement can be low for beginning communicators with multiple disabilities, the current study provides initial information about the comparative effects of 2 AAC technology options—high-tech visual scene displays (VSDs) and low-tech isolated picture symbols—on engagement. Method Three elementary-age beginning communicators with multiple disabilities participated. The study used a single-subject, alternating treatment design with each technology serving as a condition. Participants interacted with their school speech-language pathologists using each of the 2 technologies across 5 sessions in a block randomized order. Results According to visual analysis and nonoverlap of all pairs calculations, all 3 participants demonstrated more engagement with the high-tech VSDs than the low-tech isolated picture symbols as measured by their seconds of gaze toward each technology option. Despite the difference in engagement observed, there was no clear difference across the 2 conditions in engagement toward the communication partner or use of the AAC. Conclusions Clinicians can consider measuring engagement when evaluating AAC technology options for children with multiple disabilities and should consider evaluating high-tech VSDs as 1 technology option for them. Future research must explore the extent to which differences in engagement to particular AAC technologies result in differences in communication and language learning over time as might be expected.

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