scholarly journals 0996 School Start Times Are Associated With Youth And Parent Sleep Duration

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A378-A378
Author(s):  
H E Gunn ◽  
K R Eberhardt
Keyword(s):  
Sleep Duration ◽  
Strong Support ◽  
Sleep Time ◽  
Research Society ◽  
Sleep Habits ◽  
Start Time ◽  
School Time ◽  
Family Level ◽  
School Start Times ◽  
The Impact

Abstract Introduction Early school start times contribute to insufficient sleep in adolescents; however, we know little about the impact of school start times at a family level. Moreover, even among similar school start times, sleep opportunity varies depending on mode of transportation and travel time. Thus, the purpose of this study was to determine whether AM school departure time is associated with sleep duration in parents and young adolescents. Methods Parent-adolescent dyads (n=31) completed 10 days of actigraphy and sleep diaries. Adolescents were 10-14 year olds (58% male). Parents were predominately mothers (87%) and their mean age was 44 yrs (SD = 5.9). Dyads were 77% White, 11% Black, and 12% Biracial or Other. Youth leave for school time was assessed with the School Sleep Habits Survey. Actigraphy- and diary-assessed total sleep time (TST) was averaged across 10 days and on weekdays. Separate regressions models for parents and adolescents determined associations between school leave time (predictor) and two outcomes: 10-day TST and weekday TST. Results For adolescents, later leave for school time was associated with longer 10-day actigraphy-assessed TST (β = .504, p = .012) and diary-assessed TST (β =.683, p <.001). Later leave for school time was also associated with more weekday actigraphy and diary-assessed TST (β = .661 and .426, respectively, p’s < .05). For parents, later leave for school time predicted more diary-assessed sleep across 10 days (β = .481, p = .013) and on weekdays, but this finding did not reach significance (β = .373, p = .061). Leave for school time was not associated with parents’ actigraphy-assessed TST across the 10-day period or on weekdays (p’s > .10). Conclusion The time that youth need to leave for school may more closely approximate sleep opportunity regardless of actual school start time. This is particularly relevant for urban and rural youth with long commutes. Findings add to the strong support that delayed school start times or flexible scheduling will benefit adolescent sleep and also suggest positive impacts at the family level. Support This material is based upon work supported by the Sleep Research Society Foundation.

scholarly journals Prevalence of sleep problems and its relation to sleeping habits in toddlers

2019 ◽  
Vol 2 (1) ◽  
pp. 29-34
Author(s):  
Sima Maree ◽  
Esa Mohammadi Zidi ◽  
Saeed Yari ◽  
Maryam Javadi
Keyword(s):  
Sleep Duration ◽  
Attention Deficit Disorder ◽  
Sleep Problems ◽  
Pearson Correlation ◽  
Sleep Time ◽  
Sleep Habits ◽  
Chi Square ◽  
Sleeping Habits ◽  
Children’S Sleep ◽  
The Impact

Background: Sleep problems in children have serious physical and psychological consequences such as obesity, aggression and attention deficit disorder in toddlers. The aim of the present study was to determine the prevalence of sleep problems and its relation with sleeping habits of toddlers in 2017. Methods: By random sampling from rural families of Razan city of Hamadan province, 120 mothers of 12- to 36-month-old children were selected and data collection tools included contextual questions, medical history and 33-question questionnaire of children's sleep habits (CSHQ) completed. Data were analyzed by SPSS software version 23, independent t-test, chi-square, Pearson correlation coefficient and multiple linear regression. Results: The mean age of the children was 22.82±7.53 months and 55% of them were boys and the prevalence of sleep problems was 70.8% (95% confidence interval: 71.9-69.7). The average sleep duration of the children was 11 hours and more than 60% of the children went to bed after 23 o'clock. Results show that age is an important factor in most dimensions of CSHQ and age predicts daytime sleepiness (β = -0.263), nocturnal wakefulness (β = -0.113) and duration, Sleep time (β = -0.108) and sleep resistance (β = 0.194) respectively. Also, parents' education and child's current weight were predictors of subscales of CSHQ questionnaire (P <0.05). In addition, there was a positive and significant correlation between sleep duration with infant sleep anxiety (r = 0.527) and resistance to sleep (r = 0.473) as well as nocturnal wakefulness with parasomnia (r = 0.416) (P <0.001). Conclusion: Given the alarming prevalence of sleep problems in toddlers in the present study and the impact of some changeable factors on children's sleep health, designing interventions aimed at educating mothers to improve healthy sleep habits in toddlers is necessary.

scholarly journals Prevalence of sleep problems and its relation to sleeping habits in toddlers

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Sima Maree ◽  
Esa Mohammadi Zidi ◽  
Saeed Yari ◽  
Maryam Javadi
Keyword(s):  
Sleep Duration ◽  
Attention Deficit Disorder ◽  
Sleep Problems ◽  
Pearson Correlation ◽  
Sleep Time ◽  
Sleep Habits ◽  
Chi Square ◽  
Sleeping Habits ◽  
Children’S Sleep ◽  
The Impact

Background: Sleep problems in children have serious physical and psychological consequences such as obesity, aggression and attention deficit disorder in toddlers. The aim of the present study was to determine the prevalence of sleep problems and its relation with sleeping habits of toddlers in 2017. Methods: By random sampling from rural families of Razan city of Hamadan province, 120 mothers of 12- to 36-month-old children were selected and data collection tools included contextual questions, medical history and 33-question questionnaire of children's sleep habits (CSHQ) completed. Data were analyzed by SPSS software version 23, independent t-test, chi-square, Pearson correlation coefficient and multiple linear regression. Results: The mean age of the children was 22.82±7.53 months and 55% of them were boys and the prevalence of sleep problems was 70.8% (95% confidence interval: 71.9-69.7). The average sleep duration of the children was 11 hours and more than 60% of the children went to bed after 23 o'clock. Results show that age is an important factor in most dimensions of CSHQ and age predicts daytime sleepiness (β = -0.263), nocturnal wakefulness (β = -0.113) and duration, Sleep time (β = -0.108) and sleep resistance (β = 0.194) respectively. Also, parents' education and child's current weight were predictors of subscales of CSHQ questionnaire (P <0.05). In addition, there was a positive and significant correlation between sleep duration with infant sleep anxiety (r = 0.527) and resistance to sleep (r = 0.473) as well as nocturnal wakefulness with parasomnia (r = 0.416) (P <0.001). Conclusion: Given the alarming prevalence of sleep problems in toddlers in the present study and the impact of some changeable factors on children's sleep health, designing interventions aimed at educating mothers to improve healthy sleep habits in toddlers is necessary.

scholarly journals Changing school start times: impact on sleep in primary and secondary school students

SLEEP ◽  
2021 ◽  
Author(s):  
Lisa J Meltzer ◽  
Kyla L Wahlstrom ◽  
Amy E Plog ◽  
Matthew J Strand
Keyword(s):  
Secondary School ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Large Scale ◽  
Poor Sleep ◽  
School Students ◽  
Start Time ◽  
School Start Times ◽  
K 12 ◽  
The Impact

Abstract Study Objectives To examine the impact of changing school start times on sleep for primary (elementary school: ES) and secondary (middle and high school: MS/HS) students. Methods Students (grades 3–12) and parents (grades K-12) were surveyed annually, before and for 2 years after school start time changes (ES: 60 min earlier, MS: 40–60 min later; HS: 70 min later). Student sleep and daytime sleepiness were measured with school-administered student surveys and parent-proxy online surveys. Results Approximately 28,000 students annually completed surveys (~55% White, ~21% free/reduced lunch [FRL]). One-year post-change, weekday bedtimes and wake times were slightly earlier for ES students, with an 11-min decrease in sleep duration. MS and HS students reported slightly later weekday bedtimes, significantly later wake times, and significantly longer sleep duration (MS: 29 min; HS: 45 min). The percent of ES students reporting sufficient sleep duration, poor sleep quality, or daytime sleepiness did not change, but the percent of MS and HS students reporting sufficient sleep duration significantly increased and clinically significant daytime sleepiness decreased. All results were maintained at the 2-year follow-up. Benefits of later start times were similar across racial and free/reduced lunch groups. Conclusions This is the first large scale, longitudinal, and representative study to concurrently examine the impact of changing school start times across students in primary/secondary school. Findings suggest a minimal impact of earlier start times on ES students’ sleep or daytime sleepiness, while further supporting the significant benefits of delaying MS and HS start times on student sleep and daytime sleepiness.

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 &lt; .01), but average sleep duration was similar between two types. “Later” type had more “worry” and “overwhelming thoughts” (p &lt; .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 1213 Sleepfect Tracker: A Crossplatform Mobile Researchkit App For Sleep Self-management

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A463-A464
Author(s):  
P Menon ◽  
A Seixas ◽  
Z Pathan ◽  
M Suhail ◽  
G Jean-Louis ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Electronic Devices ◽  
Sleep Time ◽  
Self Management ◽  
Sleep Diary ◽  
Sleep Habits ◽  
Sleep Behavior ◽  
Environment And Behavior ◽  
Data Points ◽  
Sleep Environment

Abstract Introduction We created Sleepfect Tracker, a researchkit-based cross platform app to explore the feasibility and acceptability of a sleep tracking app for sleep self-management. Methods We developed Sleepfect Tracker app on Appbakery, a DIY app making platform using ResearchKit for iOS and ResearchDroid for Android users. Sleepfect allows participants to track their sleep behavior (weekly via sleep diary) and environment (monthly), as well as their total sleep time and step counts data via Apple’s HealthKit, Android step count sensors, or Fitbit (wearable). Three hundred and ninety-five (395) individual from around the globe downloaded the app and 163 unique users answered surveys on their sleep behavior, environment, and architecture. In total we collected 6429 sleep and 2882 step data points and provided insights into user sleep behavior and sleep environment. We also analyzed whether sleep duration was associated with steps. Results Regarding immediate sleep environment and behavior, 11.1% worked or studied in bed, 27.0% reported having pets in bed, 39.7% red in bed prior to sleep, 40.3% watched TV in bed prior to sleep, 11.3% drank alcohol prior to bed, 9.8% smoked prior to bed or wake during night, 8.1% ate snack at bedtime, and 6.5% ate when they awake at night. 74.3% of the participants used electronic devices in their bedroom. Of the participants who used electronic devices in the bedroom, 52.1% had an average sleep duration of 6-8 hours and 29.8% reported sleeping 4-6 hours. Of the participants who did not use electronic devices in bedroom, 30.1% slept 4-6 hours, 31.8% slept 6-8 hours, and 32.45% slept 8-10 hours, on average. The relationship between steps count and sleep hours was trending, r=.16, p=.07. Conclusion Users can evaluate their sleep habits, monitor daily sleep-related behaviors through Sleepfect tracker. The app demonstrated initial usability and feasibility, but long-term usability and effectiveness must be evaluated. Further investigations on which functions will be more useful to help user to improve their sleep and engage users should be considered. Support K01HL135452, R01MD007716, R01HL142066, and K07AG052685

scholarly journals Exposure to Electronic Media and Its Influenceon Sleep among Jewish and Arab Adolescents

2020 ◽  
pp. 451-460
Author(s):  
Sondos Ali Salah abo Ganim
Keyword(s):  
Sleep Duration ◽  
Media Exposure ◽  
Sleep Time ◽  
Electronic Media ◽  
Cross Sectional Study ◽  
Mobile Telephone ◽  
Sleep Habits ◽  
Cross Sectional ◽  
Late Night ◽  
Jewish Adolescents

Sleep is important to physical and mental development. Studies show that adolescents suffer from electronic media exposure-related inadequate and non-quality sleep. In Israel, traditional, conserva-tive Arab society is undergoing a modernization process with exposure to the Western lifestyle and Israeli Jewish culture. This comparative cross-sectional study compared electronic media exposure’s impact on sleep in secular Jewish and Arab society in Israel, involving 229 middle and high school adolescents, 118 Arabs and 111 Jews. Research tools were the School Sleep Habits Survey (SSHS) and a sociodemographic questionnaire. Jewish adolescents are more exposed to electronic media than are Arab adolescents only during mid-week. Weak but significantcorrelations were found between late night use of electronic media and sleep duration; increased exposure to television (r = -0.17, p = .01), mobile telephone r = -0.21, p = .002), and tablet (r = -0.14, p = .02) related to shorter sleep duration and longer sleep latency mid-week in both groups and later weekend wake-up time. Arab adolescents are sleepier during the day and have more sleep-related behavior problems. As electronic media exposure rises, sleep duration shortens, and sleep time is postponed in both cultures. Exposure to electronic media is higher among Jewish adolescents. Boys sleep longer than girls during the week (a difference of nearly an hour).

scholarly journals Weekly alternation of morning and afternoon school start times: implications for sleep and daytime functioning of adolescents

SLEEP ◽  
2020 ◽  
Vol 43 (8) ◽  
Author(s):  
Adrijana Koscec Bjelajac ◽  
Marija Bakotic ◽  
Biserka Ross
Keyword(s):  
Substance Use ◽  
Depressed Mood ◽  
Age Groups ◽  
Sleep Habits ◽  
Start Time ◽  
Average Delay ◽  
Daytime Functioning ◽  
Large Delay ◽  
Delayed Sleep ◽  
School Start Times

Abstract Study objectives To examine sleep patterns of adolescents attending school on alternating morning schedule (MS) and afternoon schedule (AS) and to explore the contribution of sleep characteristics on the AS to prediction of adolescents’ daytime functioning. Methods The Croatian adaptation of the School Sleep Habits Survey for a two-shift school system was completed by 2,033 students (11–18 years old, 54 per cent females) whose school start times alternated weekly between 08:00 am and 14:00 pm. Results All age groups of adolescents reported delayed sleep when on the school week with an AS as compared with a MS. The average delay of bedtime was 36 minutes, and delay of wake-up time 121 minutes, which resulted in average sleep durations from 9.80 hours in 11-year olds to 8.39 hours in 18-year olds. Having more delayed wake-up times on the AS predicted more substance use and poorer grades. Having more delayed bedtimes not only predicted poorer grades but also predicted less depressed mood. Obtaining relatively longer sleep on AS predicted lower sleepiness, less depressed mood, and less frequent substance use. Conclusions The afternoon school start time enables sleep duration that is in line with adolescent sleep biology and contributes positively to daytime functioning. In many cases, a large delay in wake-up time is observed. At least part of that delay is not associated with adolescents’ circadian biology and contributes negatively to some indices of their daytime functioning. Further research of factors associated with extreme delays of sleep and/or interventions that could limit extreme sleep irregularity is required.

Abstract P316: Sleep Timing Correlates With Incident Congestive Heart Failure: A Community-based Cohort Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Bin Yan ◽  
Ruohan Li ◽  
Xuting Jin ◽  
Ya Gao ◽  
Jingjing Zhang ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Prospective Study ◽  
Sleep Duration ◽  
Subgroup Analysis ◽  
Cox Regression ◽  
Sleep Habits ◽  
Sleep Timing ◽  
Increased Risk ◽  
The Impact

Introduction: Previous studies have suggested that sleep habits were associated with cardiovascular risk factors. However, there is no evidence about the relationship between sleep timing and congestive heart failure (CHF). Hypothesis: We assessed the hypothesis that the bedtime and wake-up time on weekday and weekend may be associated with incident CHF. Methods: From the Sleep Heart Health Study (registration number, NCT00005275), participants without previous heart failure were enrolled in the present prospective study. Sleep timing including bedtime and wake-up time on weekday and weekend was acquired from a self-reported Sleep Habits Questionnaire. Bedtime on weekdays and weekend was divided into >24:00, 23:01 to 24:00, 22:01 to 23:00 and ≤22:00. Wake-up time on weekdays and weekend was classified as >8:00, 7:01 to 8:00, 6:01 to 7:00 and ≤6:00. Further subgroup analysis was conducted according to sleep duration of <6h, 6-8h and >8h. Participants were followed up until the first CHF diagnosed between the date of the completed questionnaire and the final censoring date. Cox regression analysis was used to investigate the association between sleep timing and CHF. Results: A total of 4765 participants including 2207 males and 2558 females with a mean age of 63.6±11.0 years were recruited in the study. During the mean follow-up period of 11 years, 519 participants were diagnosed with CHF. The incidence of CHF in participants with weekday bedtime at >24:00 was 15.6% (69 of 441), which is higher than those with bedtime at 23:01 to 24:00 [12.7% (166 of 1306)], 22:01 to 23:00 [7.0% (128 of 1837)], and ≤22:00 [13.2% (156 of 1181)]. Participants with wake-up time on weekday at > 8:00 also had the highest incidence of CHF [19.7% (45 of 229)] than those with wake-up time at 7:01 to 8:00 [14.2% (89 of 627)], 6:01 to 7:00 [11.5% (171 of 1485)], and ≤6:00 [8.8% (214 of 2424)]. After multivariate Cox regression analyses, individuals with bedtime at >24:00 on weekdays was associated with a higher incidence of CHF (HR 1.559, 95% CI 1.151-2.113, P = 0.004) than those with bedtime at 22:01 to 23:00. And compared with participants with wake-up time at ≤6:00, those with wake-up time at > 8:00 also had an increased risk of incident CHF (HR 1.525, 95% CI 1.074-2.166, P =0.018). After further subgroup analysis, the association between bedtime at >24:00 on weekdays and incident CHF were strengthened in the participants with 6-8 hours’ sleep duration (HR 2.087, 95% CI 1.446-3.013, P <0.001). Conclusion: In conclusion, late bedtime (>24:00) and late wake-up time (>8:00) on weekdays may correlate with an increased risk of CHF. The impact of sleep timing on incident cardiovascular diseases may be worth further prospective study.

Impact of a Pharmacist-Led Intensive Care Unit Sleep Improvement Protocol on Sleep Duration and Quality

2020 ◽  
pp. 106002802097319
Author(s):  
Jessica L. Andrews ◽  
Patricia R. Louzon ◽  
Xavier Torres ◽  
Eric Pyles ◽  
Mahmood H. Ali ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Time ◽  
Protocol Implementation ◽  
Mechanically Ventilated ◽  
Activity Tracker ◽  
The Impact ◽  
Perceived Sleep Quality

Background: Sleep improvement protocols are recommended for use in the intensive care unit (ICU) despite questions regarding which interventions to include, whether sleep quality or duration will improve, and the role of pharmacists in their development and implementation. Objective: To characterize the impact of a pharmacist-led, ICU sleep improvement protocol on sleep duration and quality as evaluated by a commercially available activity tracker and patient perception. Methods: Critical care pharmacists from a 40-bed, mixed ICU at a large community hospital led the development and implementation of an interprofessional sleep improvement protocol. It included daily pharmacist medication review to reduce use of medications known to disrupt sleep or increase delirium and guideline-based recommendations on both environmental and nonpharmacological sleep-focused interventions. Sleep duration and quality were compared before (December 2018 to December 2019) and after (January to June 2019) protocol implementation in non–mechanically ventilated adults using both objective (total nocturnal sleep time [TST] measured by an activity tracker (Fitbit Charge 2) and subjective (patient-perceived sleep quality using the Richards-Campbell Sleep Questionnaire [RCSQ]) measures. Results: Groups before (n = 48) and after (n = 29) sleep protocol implementation were well matched. After protocol implementation, patients had a longer TST (389 ± 123 vs 310 ± 147 minutes; P = 0.02) and better RCSQ-perceived sleep quality (63 ± 18 vs 42 ± 24 mm; P = 0.0003) compared with before implementation. Conclusion and Relevance: A sleep protocol that incorporated novel elements led to objective and subjective improvements in ICU sleep duration and quality. Application of this study may result in increased utilization of sleep protocols and pharmacist involvement.

scholarly journals Sleep Habits and Disorders among School Students in the Jazan Region, Saudi Arabia

2021 ◽  
Author(s):  
Majed Ibrahim Hakami ◽  
Ismail Abdullah Juraybi ◽  
Abdullah Ali Jaafari ◽  
Ali Mohammed Al Ibrahim ◽  
Alhassan Mahdi Kariri ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Sleep Quality ◽  
Public Health Issue ◽  
Poor Sleep ◽  
Sleep Habits ◽  
School Students ◽  
Related Disorder ◽  
School Time ◽  
The Impact ◽  
Academic Degrees

Sleep deprivation (failure to get enough sleep) is a public health issue that can negatively impact our body including cognitive function. Many studies have been done in Saudi Arabia to evaluate the impact of poor sleep and academic performance but almost all of them were done at university level. To investigate the relationship between sleep quality and general degree of academic achievement in school students. This is a cross-sectional, school-based study, conducted at Jazan Region, Saudi Arabia. A total of 957 participants (615 male and 342 female) were recruited from a state school. The study used a standardized, confidential, validated self-administered questionnaire to assess sleep quality and habits. By using Statistical Package for Social Studies (SPSS 22), achievement of the students was significantly related to the following parameters; laziness and fatigue after wake-up time and during school time, lack of concentration during school time, difficulty in complete tasks during school time and inability to maintain wakefulness during school time. Furthermore, students with poor academic degrees reported more significant incidence of sleeping at school, excessive daytime sleepiness, and other sleep related disorder than good academic degrees. Students with poor sleep quality have lower school grades.

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