scholarly journals How to provide an optimal environment for tourists to manage their sleep? The roles of sleep amenities, sleep environment cleanliness, and sleep atmosphere

2019 ◽  
Vol 10 (2) ◽  
pp. 9-19 ◽  
Author(s):  
P. Y. Fung Clare ◽  
H. Y. Hon Alice
Keyword(s):  
SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A241-A242
Author(s):  
Jack Peltz ◽  
Ronald Rogge ◽  
Joseph Buckhalt ◽  
Lori Elmore-Staton

Abstract Introduction Approximately half of school-aged children (ages 5–18) get either insufficient sleep during school nights or barely meet the required amount of sleep expected for healthy functioning (National Sleep Foundation, 2014).This percentage increases as children develop into adolescents (National Sleep Foundation, 2006). Accordingly, sleep problems and insufficient sleep are so pervasive that they could be considered an epidemic due to their adverse impact on children’s mental and physical health (Owens, 2015; Shochat et al., 2014). Fundamental to children’s sleep health is their sleep environment (Billings et al., 2019; Spilsbury et al., 2005). Despite its importance, however, there remains a noticeable absence of valid and reliable assessments of this construct. The current study sought to develop a measure of children’s sleep environments to support research and clinical work on youth’s sleep health. Methods A total of 813 parents (Mage = 40.6, SD = 8.6; 72% female) completed an online survey regarding their child’s (Mage = 10.5, SD = 3.8; 45% female) sleep environment and sleep-related behavior. The majority of families identified as Caucasian (approximately 80%). Parents reported fairly high annual incomes (Median = $75,000), but 28.2% of families reported incomes less than $50,000. A total of 18 items (total scale score; alpha = .74) were selected from a pool of 38 items developed from previous research that examined aspects of the sleep environment and were entered into an exploratory factor analysis from which 4 factors emerged: general sleep environment (10 items, alpha = .91), sleeping alone vs. with siblings (2 items, alpha = .78), presence of electronic screens (4 items, alpha = .75), and emotional environment (2 items, alpha = .80). Results The subscales demonstrated distinct patterns of correlations with related constructs, and unique predictive variance in explaining children’s daytime sleepiness even after controlling for children’s sleep hygiene, behavior problems, and sleep problems. Conclusion The current study is one of the first to demonstrate a valid/reliable assessment of children’s sleep environments. Not only will this measure provide researchers with an assessment of a fundamental influence on children’s sleep, but it will also enable clinicians to better measure this construct and support effective sleep health recommendations. Support (if any):


SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A319-A319
Author(s):  
Sonia L Rubens ◽  
Omar G Gudino ◽  
Rose R Soliemannjad ◽  
Paloma D Contreras ◽  
M Lorrane Ford

Author(s):  
Dorothy Ann Drago ◽  
Carol Pollack-Nelson ◽  
Sarah Beth Newens

This study examines infant fatalities that occurred while sharing a sleep surface. Fatality data reported to the U.S. Consumer Product Safety Commission (CPSC) during the time period January, 2013 through December, 2017 and involving infants through age 10 months were reviewed. 1,587 Cases were analyzed on the following variables: infant age and sex; sleep environment by product; cause of death; fatality pattern; and breastfeeding, where it was mentioned. 97% Of deaths were due to some form of asphyxia. Adult beds were associated with 78% of shared sleep fatalities, and the primary fatality pattern was overlay (35.4%)/probable overlay (8.8%). Infants <3 months made up 65% of fatalities. The data reflect that bedsharing continues, despite AAP guidelines to the contrary, and that overlay is the primary hazard pattern to be addressed. This paper discusses potential risk reduction strategies that may reduce the potential for overlay fatalities.


2017 ◽  
Vol 92 (9) ◽  
pp. 1368-1372 ◽  
Author(s):  
Salma I. Patel ◽  
Bernie W. Miller ◽  
Heidi E. Kosiorek ◽  
James M. Parish ◽  
Philip J. Lyng ◽  
...  

2018 ◽  
Vol 47 (3) ◽  
pp. 628-640 ◽  
Author(s):  
Sonia L. Rubens ◽  
Molly A. Miller ◽  
Megan M. Zeringue

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A9-A10
Author(s):  
S Maskevich ◽  
L Shen ◽  
J Wiley ◽  
S Drummond ◽  
B Bei

Abstract Introduction This intense longitudinal study examined factors that facilitate and hinder sufficient and good quality sleep in adolescents’ everyday life. Methods 205 (54.2% female, 64.4% non-white) Year 10–12 adolescents (Mage = 16.9 ± 0.9) completed daily morning surveys and wore actigraphy over 2 school-weeks and 2 subsequent vacation-weeks. Morning surveys assessed self-reported sleep and the usage of 8 facilitators and 6 barriers of sleep from the previous night. Linear mixed-effects models examined contribution of facilitators/barriers to actigraphy and self-reported total sleep time (TST) and sleep onset latency (SOL), controlled for age, sex, race, place of birth, and study day. Schooldays/non-schooldays was included as a moderator. Results Seven facilitators and two barriers were endorsed by high proportions (&gt;30%) of adolescents as frequently (≥50% days) helping/preventing them from achieving good sleep. Facilitators predicting longer TST and shorter SOL, were: “follow body cues”, “manage thoughts and emotions”, “create good sleep environment”, “avoid activities interfering with sleep” and “plan bedtime and go to bed as planned” (only TST on schooldays). Barriers predicting shorter TST and longer SOL, were: “pre-bedtime thoughts and emotions”, “unconducive sleep environment”, “activities interfering with sleep”, “inconsistent routines” and “other household members’ activities”. Overall, facilitators or barriers explained an additional 1–5% (p-values &lt; .001) of variance beyond the covariates. Discussion Adolescents perceive a range of factors as facilitating and as preventing sufficient and good quality sleep in everyday life. These factors are predictive of their sleep duration and onset latency, and need further research to understand their functions and clinical implications.


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