scholarly journals 0180 Sleep, Sleepiness, and Sleep Hygiene Related to Nomophobia (No Mobile Phone Phobia)

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A71-A71
Author(s):  
J Peszka ◽  
S Michelle ◽  
B T Collins ◽  
N Abu-Halimeh ◽  
M Quattom ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Technology Use ◽  
Daytime Sleepiness ◽  
Sleep Hygiene ◽  
Sleep Time ◽  
Poor Sleep ◽  
College Age ◽  
Gift Cards ◽  
Psychology Courses ◽  
Cognitive Rumination

Abstract Introduction Previously, active phone use at bedtime has been implicated in disrupted sleep and related complaints. To improve sleep, a recommendation following such findings is limiting phone use before and during bedtime. However, for those with the characteristic of “nomophobia”, fear of being out of mobile phone contact, this recommendation could exacerbate anxiety at and around bedtime and disrupt, rather than improve, sleep. In 2012, an estimated 77% of 18-24-year-olds could be identified as nomophobic. Because of the prevalence of nomophobia and its possible interaction with sleep, we explored the existence of nomophobia in a college-age population and its relationship to sleep, sleepiness, and sleep hygiene behaviors. Methods 327 university students (age: M=19.7 years, SD=3.78) recruited from introductory psychology courses and campus newsletters were given extra credit or a chance to win $25 gift cards for participation. Participants completed demographic information, the Nomophobia Questionnaire (NMP-Q), the Epworth Sleepiness Scale (ESS), the Pittsburgh Sleep Quality Index, questions regarding associated features of inadequate sleep hygiene, and the Sleep Hygiene Index. Additional sleep hygiene questions assessed frequency of active and passive technology use during sleep time. Results 89.4% of the participants had moderate or severe nomophobia. Greater nomophobia was significantly related to greater daytime sleepiness (ESS) (r(293)=.150, p<.05), associated features of poor sleep (daytime sleepiness: r(297)=.097, p<.05, and avolition: r(297)=.100, p<.05), more maladaptive sleep hygiene behaviors including active technology use during sleep time (r(298)=.249, p<.05), long daytime naps, inconsistent wake and bed times, using bed for non-sleep purposes, uncomfortable bed, and bedtime cognitive rumination (r’s=0.097 to 0.182). Conclusion Most participants experienced moderate to severe nomophobia with greater nomophobia associated with greater sleepiness, avolition, and poorer sleep hygiene. Nomophobia is likely to be an important consideration when treating sleep disorders and/or making any sleep hygiene recommendations. Support Hendrix College Charles Brewer Fund for Psychology

scholarly journals 0194 Bedtime Technology Use and New Questions for the Sleep Hygiene Index

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A76-A76
Author(s):  
D Mastin ◽  
N Abu-Halimeh ◽  
B T Collins ◽  
J Critton ◽  
M Henderson ◽  
...  
Keyword(s):  
Technology Use ◽  
Daytime Sleepiness ◽  
Sleep Disturbances ◽  
Sleep Hygiene ◽  
Sleep Time ◽  
Social Technology ◽  
Gift Cards ◽  
Psychology Courses ◽  
The Relationship ◽  
Inadequate Sleep

Abstract Introduction We examined the relationship between bedtime active and passive social technology use (self and bedpartner) and daytime sleepiness/sleep. We generated questions to differentiate participants with and without bedpartners and updated passive personal, active bedpartner, and passive bedpartner social technology questions of the Sleep Hygiene Index. Methods 327 students (age: M=19.7 years, SD=3.78) recruited through psychology courses and campus newsletters received extra credit or chances to win $25 gift cards. Participants completed demographic information, the Epworth Sleepiness Scale (ESS), the Pittsburgh Sleep Quality Index, questions regarding associated features of inadequate sleep hygiene, and the Sleep Hygiene Index. Five questions assessed active and passive social technology use, presence of a bedpartner, and awareness of bedpartner active and passive social technology use during sleep time. Results 61.8% and 62.7% of students reported frequently or always using active and passive bedtime social technology, respectively; and 23.5% and 29.1% reported noticing a partner’s active or passive use. More frequent active technology use was significantly related to greater daytime sleepiness (ESS) (r(305)=.193, p<.05), sleep disturbances (PSQI-global: r(302)=.120, p<.05), and associated features of inadequate sleep hygiene (daytime sleepiness, worry about sleep, mood disturbance, avolition, and reduced cognition (r(306)=.212, p<.05)). Neither passive use nor passive or active partner use was significantly related to any sleep/sleepiness variables. Conclusion We continue to find students are frequent users of bedtime social technology which is related to daytime sleepiness, disrupted sleep, and related complaints. Passive and partner active/passive bedtime technology use may not have a significant impact on daytime sleepiness. It is possible younger participants are not good judges of passive or partner technology use or this younger population is resilient to these disruptions. Support none

scholarly journals Development of an e-Coaching Framework to Promote Sleep Hygiene Using Machine Learning

2021 ◽  
Vol 17 (03) ◽  
pp. 98
Author(s):  
Arturo Laflor ◽  
Mabel Vazquez-Briseno ◽  
Fernanda Murillo-Munoz
Keyword(s):  
Machine Learning ◽  
Sleep Quality ◽  
Sleep Hygiene ◽  
Sleep Time ◽  
Machine Learning Algorithms ◽  
Poor Sleep ◽  
Way Of Life ◽  
Sleep Quantity ◽  
Computational Sciences ◽  
Good Sleep

<p class="Abstract">Computational sciences have gradually allowed scientists to develop novel technological projects to promote a healthy way of life. Most efforts have focus in promoting healthy diets and physical activity. Sleeping is also a crucial activity for humans. Poor sleep quality has adverse effects on health and might lead to physical and mental deterioration. Many computer systems have been used to measure sleep quantity and quality; however, there are few efforts to guide users about aspects that can influence sleeping. Sleep hygiene is a concept that allows controlling sleep-related habits and promoting good sleep quality; unfortunately, modern lifestyles can cause people to adopt wrong habits without being aware of their impact on sleep quality. This work describes a framework developed to guide user’s during the day in order to achieve good sleep quality during sleep time. A set of sleep hygiene factors (SHFs) intended to control hours before going to sleep was defined. The framework identifies personal SHFs using machine learning algorithms; furthermore, a new algorithm was designed to improve results. The framework also includes a mobile persuasive system to encourage users to control personal SHFs.</p>

scholarly journals 0992 Prevalence Of Insufficient Sleep Duration And Consequences On Daytime Sleepiness, Mood And Academic Performance In Thai Adolescents

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A377-A377
Author(s):  
R Rojrattanadumrong ◽  
K K Sudnawa ◽  
W Areekul ◽  
R Jaroenying
Keyword(s):  
Depressive Symptoms ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Child Anxiety ◽  
Sleep Time ◽  
Poor Sleep ◽  
Insufficient Sleep ◽  
Grade Point ◽  
Thai Adolescents ◽  
Sleep Length

Abstract Introduction Insufficient sleep duration in adolescents is key public health concerns in many societies. This study aims to assess the prevalence of insufficient sleep duration and the association between short sleep with daytime sleepiness, depressive symptoms, and anxiety among Thai adolescents. Methods Thai adolescents aged 11 -18 years completed a self-administered questionnaire including Phramongkutklao Hospital Sleep disorders center Questionnaire, Pittsburg Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), The Children depress Inventory (CDI) scale and Child Anxiety Related Emotional Disorder (SCARED). Results 232 adolescents with the mean age of 14.58 (range 11-18) years participated in this survey. The average total sleep time was 7.44 hours. The overall prevalence of insufficient sleep duration (sleep duration &lt;8 hours) was 37.5% and the small difference was found between males (42.0%) and females (32.7%). Compared with those who had a sleep length of 8 hours and more, insufficient sleep duration group exhibited higher in BMI and less in Grade Point Average (GPA). Subjective sleep insufficiency among Thai adolescent also had higher percentage of subjects with ESS ≥10 (43.2% vs 21.3%, P &lt;0.001), depressive symptoms (56.3% vs 39.3%, P 0.012) and anxiety (54.0% vs 38.6%, P 0.022) compare to those with adequate sleep duration. Conclusion High amount of Thai adolescents with poor sleep duration were observed in the study, consistency with prior surveys. Insufficiency sleep duration group had significantly increased daytime sleepiness, mood and anxiety problems among Thai adolescents. These findings emphasized the development of interventions to improve sleep duration in Thai adolescents and more sample size should be achieved in the future. Support None

Wired and Tired: Associations between social media, bedtime technology-use rules, and daytime sleepiness among adolescents (Preprint)

2020 ◽  
Author(s):  
Jessica Hamilton ◽  
Woanjun Lee
Keyword(s):  
Social Media ◽  
Social Interactions ◽  
Technology Use ◽  
Daytime Sleepiness ◽  
Media Use ◽  
The United States ◽  
Poor Sleep ◽  
Social Media Use ◽  
Perceived Importance ◽  
Social Affordances

BACKGROUND Social media use is associated with poor sleep among adolescents, including daytime sleepiness, which impacts adolescents’ physical and mental health. Less research has examined whether specific social media behaviors, such as checking and posting, and adolescents’ perceived importance of social media for social purposes are associated with sleepiness. Identifying whether certain adolescents are more at risk or protected from the effects of SM on sleepiness than others may inform future interventions around sleep and social media. OBJECTIVE The study aimed to examine the association between social media use frequency and importance and daytime sleepiness, and whether perceived importance of social media for social interactions and parental rules around bedtime technology exacerbated these relationships. METHODS This cross-sectional, survey study was conducted with a sample of 4,153 adolescents from across the United States. Qualtrics was used to collect data via panel recruitment from a national sample representing the US demographics of teens aged 12-17 years old. Participants completed measures of daytime sleepiness, frequency of social media checking and posting, and importance of social media for social interactions. Parents reported whether they had a household rule around bedtime media/screen use. Hierarchical regressions and moderation analyses were conducted, covarying for age, gender, and age of first smartphone. RESULTS Participants had a mean age of 14.64 (SD 1.66) years in grades 6-12, and 46% identified as female and 68% as White. Results indicated that adolescents who posted (B = .70, SE = .04, p <.001) or checked (B = .76, SE = .04, p <.001) on social media more frequently or who perceived social media to be more important for social affordances (B = .36, SE = .02, p <.001) were more likely to have daytime sleepiness. Moderation analyses indicated that the relationship between social media frequency and importance and daytime sleepiness was exacerbated by higher levels of perceived social media importance (B = .04, SE = .01, p <.001) and for those who did not have household rules around bedtime technology use (Frequency: B = -.34, SE = .09, p <.001; Importance: B = -.16, SE = .04, p <.001) . CONCLUSIONS Findings suggest that adolescents who use social media more frequently and perceive social media to be more important for social interactions are more likely to have daytime sleepiness. Adolescents with more social media use are more likely to be affected if SM is more important for social affordances, or if their parents did not have household rules around bedtime technology use. Findings may guide future prevention and intervention programs designed to reduce daytime sleepiness, particularly focused on social media behaviors and bedtime technology rules.

scholarly journals The importance of specialized sleep investigations in children with a suprasellar tumor

Pituitary ◽  
2020 ◽  
Vol 23 (6) ◽  
pp. 613-621
Author(s):  
J. van Schaik ◽  
S. Pillen ◽  
R. R. L. van Litsenburg ◽  
N. L. E. Vandenbussche ◽  
J. M. de Bont ◽  
...  
Keyword(s):  
Daytime Sleepiness ◽  
Sleep Problems ◽  
Sleep Hygiene ◽  
Poor Sleep ◽  
Obsessive Compulsive ◽  
Educational Support ◽  
Compulsive Disorder ◽  
First Case ◽  
Obstructive Sleep ◽  
Suprasellar Tumor

Abstract Purpose Disruption of sleep has great impact on quality of life. In children with a suprasellar tumor and hypothalamic-pituitary dysfunction, the circadian rhythm may be disturbed causing sleep problems. However, also other factors may influence sleep. Awareness of these different etiologies and careful history taking with appropriate additional diagnostics will aid in restoring sleep quality. Methods We present the workup of 4 cases with a suprasellar tumor and disturbances of sleep initiation, sleep maintenance, and daytime sleepiness. In parallel, we developed a flowchart, to aid clinicians in the diagnostics of sleep problems in children after treatment for a (supra) sellar brain tumor. Results All four patients, known with hypopituitarism, presented with sleep complaints and increased daytime sleepiness. In all four, the cause of sleep problems showed to be different. In the first case, sleep evaluation revealed a severe obstructive sleep apnea, whereupon nocturnal ventilation was started. The second case revealed poor sleep hygiene in combination with an obsessive compulsive disorder. Sleep hygiene was addressed and psychiatric consultation was offered. Dexamphetamine treatment was started to reduce her obsessive compulsive complaints. The third case showed a delayed sleep phase syndrome, which improved by educational support. The fourth case revealed a secondary organic hypersomnia for which modafinil treatment was started. Conclusion Sleep disturbances in children with hypopituitarism due to a (supra) sellar tumor can have different entities which require specific therapy. Awareness of these different entities is important to enable appropriate counseling. Referral to an expertise sleep center may be advised, if standard educational support is insufficient.

scholarly journals Introducing Sleep Hygiene to the Church of Sidang Jemaat Allah Bethlehem Congregation, Bogor, West Java

2021 ◽  
Vol 5 (1) ◽  
pp. 61-70
Author(s):  
Alya Dwiana ◽  
Triyana Sari ◽  
David Limanan
Keyword(s):  
Sleep Quality ◽  
Cognitive Abilities ◽  
Healthy Lifestyle ◽  
Sleep Hygiene ◽  
Sleep Time ◽  
The Body ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Lack Of Sleep ◽  
The Individual

Insomnia is one of the most common health problems. Approximately one-third of adults show symptoms related to insomnia. Around 9%-15% of people have sleeping disorders dan suffer the consequences of it in the daytime, and roughly 6% suffer from diagnosed insomnia. Although the prevalence and significant effects of insomnia have been known, sleep disorders are still rarely diagnosed and receive proper treatments. Lack of sleep will create sleep debt that the body will have to compensate for by adding more sleep time in the next day. Should this compensation fail to be fulfilled, the individual will suffer from excessive sleepiness, memory problems, difficulty concentrating, and disturbances in performing daily activities. Chronic lack of sleep can also decrease memory and cognitive abilities, trigger mood disorders and even cause hallucination. The Sidang Jemaat Allah Bethlehem church (GSJA) is one of the biggest churches in Bogor. The people of GSJA’s knowledge of healthy sleep patterns and their sleep quality was unknown. Therefore, it was necessary to provide sleep health education to raise the awareness of the importance of healthy sleep patterns, both the quantity and the quality, in practicing a healthy lifestyle. We also assessed their sleep quality using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The data show that out of 41 participants, 30 of them (73.11%) have poor sleep quality (score ≥ 5) and most of them were in the 71-80-year-old age group. The participants' level of understanding about sleep hygiene has increased after the event.

scholarly journals 647 Adolescent and Young Adult Sleep and Sleep-Related Behaviour Change During the COVID-19 Pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A253-A253
Author(s):  
Nicole Carmona ◽  
Colleen Carney
Keyword(s):  
Sleep Disturbance ◽  
Behaviour Change ◽  
Technology Use ◽  
Sleep Time ◽  
Adolescent And Young Adult ◽  
Poor Sleep ◽  
Negative Effects ◽  
Wake Time ◽  
Sleep Diaries ◽  
Time In Bed

Abstract Introduction Sleep disturbance, poor sleep quality, and dissatisfaction with sleep are common among adolescents and young adults (AYAs; e.g., Becker et al., 2018; Hicks et al., 2002; Hysing et al., 2013). Environmental and behavioural factors (e.g., early school start times, evening technology use and social pressures) are barriers to healthy sleep among AYAs that contribute to a “perfect storm” of sleep disturbance during this period (Carskadon, 2011; Crowley et al., 2018). Notwithstanding, few AYAs have access to sleep treatments. The COVID-19 pandemic lockdowns decreased academic and scheduling demands, providing an opportunity to study unconstrained AYA sleep and potentially facilitating better access to sleep interventions (Simpson & Manber, 2020). This study evaluated differences in baseline sleep and sleep-related behaviour change (i.e., how AYAs use an evidence-based app for sleep disturbance) before vs. during the lockdown. Methods Participants between the ages of 15 and 24 (M=20.66, SD=2.38) completed a 4-week feasibility study evaluating a free, transdiagnostic sleep self-management app (DOZE) before the lockdown (“Pre-Lockdown”; n=51) or during the lockdown (“Lockdown”; n=29). After 2 weeks of completing baseline sleep diaries, participants could set goals based on feedback and access tips, followed by 2 more weeks of completing sleep diaries. Results Compared to Pre-Lockdown, Lockdown demonstrated less variability in their sleep schedules (ps≤.011), less napping (p=.002), but increased time in bed (TIB; p&lt;.001) and total wake time (p=.007). Total sleep time, lingering in bed in the morning, and sleep efficiency did not differ between groups. Relative to Pre-Lockdown, Lockdown showed a greater tendency to set goals to reduce schedule variability (p=.010) and to restrict excessive TIB (p=.005). Rates of goal setting for lingering in bed in the morning, sleepiness, naps, and sleep-interfering substance use did not differ between groups. Rates of accessing tips did not differ between groups. Conclusion Effects of COVID-19 lockdown on AYA sleep included less variability in their schedule and a decreased need for naps, but negative effects on TWT and TIB. As a result, AYAs set different goals during the COVID-19 lockdowns, focusing more on restricting excessive TIB than on schedule variability. Support (if any) Canadian Institutes of Health Research eHealth Innovation Partnership Program (#143551).

scholarly journals Relationship between work context and sleep problems of high school teachers

2021 ◽  
Vol 10 (7) ◽  
pp. e31910716195
Author(s):  
Ádilla Conceição Brito de Azevedo ◽  
Xaíze de Fátima de Medeiros Lopes ◽  
Juliana Romano de Lima ◽  
Cecília Nogueira Valença ◽  
Dimitri Taurino Guedes ◽  
...  
Keyword(s):  
Public Schools ◽  
Sleep Quality ◽  
Daytime Sleepiness ◽  
Sleep Problems ◽  
Work Organization ◽  
Sleep Time ◽  
Poor Sleep ◽  
Work Context ◽  
School Teachers ◽  
Short Sleep Duration

Objective: The teaching function is related to work overload and health problems, including sleep problems. However, is there a relationship between sleep problems and aspects of work? In view of this, this study aimed to assess the relationship between the work context, the quality of sleep and the daytime sleepiness of teachers from public schools in Rio Grande do Norte (RN). Methodology: This study was conducted in 9 schools with 61 teachers of both genders who filled the work context assessment scale, the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale. Results and Discussion: The majority evaluated Working Conditions and Work Organization as critical/severe, and half of them considered Socio-Professional Relations as critical/severe. Poor sleep quality was observed in 69% of teachers, regardless of gender and excessive daytime sleepiness was observed in 49% of teachers, most often in women (55%) compared to men. Nevertheless, there was no significant relationship between work context and sleep problems. In relation to sleep schedule, it was observed that teachers present late sleep time (23: 26 ± 1: 25h) and early wake up time (6: 06 ± 1: 16h) which may have resulted in short sleep duration (6: 10 ± 1: 07h). Conclusion: These results demonstrate that, in general, public school teachers in RN present complaints related to the work context and sleep problems. However, studies with a more representative sample are needed to assess as the factors related to the work context may be contributing to sleep problems. Furthermore, there is a need to create spaces for discussion with teachers in order to improve the work context and public policies aimed at education.

scholarly journals Improving Stress Management and Sleep Hygiene in Intelligent Homes

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2398
Author(s):  
Asterios Leonidis ◽  
Maria Korozi ◽  
Eirini Sykianaki ◽  
Eleni Tsolakou ◽  
Vasilios Kouroumalis ◽  
...  
Keyword(s):  
Sleep Disturbances ◽  
Contextual Information ◽  
High Stress ◽  
Sleep Hygiene ◽  
Poor Sleep ◽  
Health Issues ◽  
Time Data ◽  
Intelligent Home ◽  
And Control

High stress levels and sleep deprivation may cause several mental or physical health issues, such as depression, impaired memory, decreased motivation, obesity, etc. The COVID-19 pandemic has produced unprecedented changes in our lives, generating significant stress, and worries about health, social isolation, employment, and finances. To this end, nowadays more than ever, it is crucial to deliver solutions that can help people to manage and control their stress, as well as to reduce sleep disturbances, so as to improve their health and overall quality of life. Technology, and in particular Ambient Intelligence Environments, can help towards that direction, when considering that they are able to understand the needs of their users, identify their behavior, learn their preferences, and act and react in their interest. This work presents two systems that have been designed and developed in the context of an Intelligent Home, namely CaLmi and HypnOS, which aim to assist users that struggle with stress and poor sleep quality, respectively. Both of the systems rely on real-time data collected by wearable devices, as well as contextual information retrieved from the ambient facilities of the Intelligent Home, so as to offer appropriate pervasive relaxation programs (CaLmi) or provide personalized insights regarding sleep hygiene (HypnOS) to the residents. This article will describe the design process that was followed, the functionality of both systems, the results of the user studies that were conducted for the evaluation of their end-user applications, and a discussion about future plans.

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