Optimal Sleep Time Research Articles

The Effect Of Baby Massage Combination Using Lavender Oil And Baby Sleep Music (Lullaby) On The Sleep Quality Of Babies Aged 6-12 Mounths In The Working Area Pmb Supianah Malang City

Sleep is a factor that affects the development of infants. Babies need optimal sleep time to produce developmental hormones. Poor sleep quality in infants has a negative impact such as babies becoming easily emotional, concentration and body immunity decreases. One of the therapies to improve sleep quality is to provide external stimulus in the form of baby massage therapy using lavender oil and baby sleep music (lullaby). The aim of this study was to determine the effect of a combination of baby massage using lavender oil and baby sleep music (Lullaby) on the sleep quality of infants aged 6-12 months in the working area of PMB Supianah, Malang. This study uses a quantitative research design and the research approach used is an experimental approach. The sample in this study was a portion of infants aged 6-10 months at PMB Supianah, S.Tr.Keb., Bd, Malang, with a total of 30 respondents. The sampling technique used is purposive sampling. The analysis used is paired samples t test. The research results obtained from 30 respondents most of the respondents (infants) experienced mild sleep problems, namely 25 infants (83.3%). Whereas at the time of the posttest, it was found that most of the babies did not experience problems in their sleep, namely as many as 25 babies (83.3%). Based on statistical analysis of paired samples t test , it was obtained that the value of p = 0.000 <0.05, then H0 was rejected and H1 was accepted, which means that it can be concluded that there is a combined effect of baby massage using lavender oil and baby sleep music (lullaby) on the sleep quality of infants aged 6-12 months in the working area. PMB Supianah City of Malang. With a correlation coefficient value of 0.80, which means the level of the relationship is in the strong relationship category, where the range of correlation values between 0.60-0.799 is included in the strong relationship category. The combination of baby massage using Lavender Oil and Baby Sleep Music (Lullaby) is effective in improving the sleep quality of babies aged 6-12 months. Keywords: Baby Massage, Lavender Oil, Baby Sleep Music, Sleep Quality

Sleep Behavior Among Student Athletes

This study was conducted to identify the sleep behavior of student athletes. The study involved 116 student athletes in Perak State Sports School as a sample study to identify sleep behavior by making comparisons based on gender, training frequency, level of involvement and age. The researcher used the Athlete Sleep Behavior Questionnaire (ASBQ) which consists of 18 items and is divided into 3 subscales namely routine factors (6 items), behavioral factors (7 items) and sports -related factors (5 items). Inferential analysis t test and One -way ANOVA were used for the purpose of data analysis. The findings of the study showed that there was no significant difference in sleep behavior between male and female student athletes of the Perak State Sports School. In addition, the findings also showed that there were no significant differences in sleep behavior based on the highest level of involvement, training frequency and age among student athletes. In summary, good sleep behavior in sports students is due to an optimal sleep time of at least 7 hours a day.

0034 When Should You Sleep to Maximize Alertness?

Abstract Introduction Working under sleep-restricted conditions may curtail safety and productivity. We could potentially minimize the negative effects of sleep restriction by optimizing the timing of sleep. However, to date, there are no algorithms that can determine the optimal sleep time to maximize alertness when most needed. Methods Our previously validated unified model of performance predicts the recuperative effects of sleep on alertness. Here, we extended this model to predict the likelihood of an individual falling and remaining asleep at any given moment, as a function of recent sleep history and time of day. Then, we combined the model with an optimization algorithm to provide optimal sleep recommendations for a given work/rest schedule. Specifically, using the model to predict the effectiveness of different sleep schedules, the algorithm determines when to sleep and for how long, so as to maximize alertness at desired times. The algorithm takes as inputs the 1) user-provided sleep history, 2) periods when the user has an opportunity to sleep, and 3) desired periods for maximum alertness, and provides as outputs sleep recommendations that are physiologically feasible and optimize alertness for the desired period. We assessed the algorithm by computing and comparing sleep recommendations for five previously published experimental studies of sleep restriction, including diurnal and nocturnal sleep. Results Compared to the original sleep schedules in the studies, our algorithm identified sleep recommendations that increased the predicted alertness by up to 33% and by 18% on average. These results suggest that the algorithm can tailor the timing of sleep to each specific sleep-restriction condition so as to maximize its benefits. Conclusion Our algorithm provides automated, customized guidance to enhance the recuperative benefits of limited sleep opportunities to maximize alertness at the most needed times. As such, it is the first quantitative sleep optimization tool for fatigue-management systems. Support This work was sponsored by the Military Operational Medicine Research Area Directorate of the U.S. Army Medical Research and Development Command, Ft. Detrick, MD.

Alternative diagnostic criteria for idiopathic hypersomnia: A 32-hour protocol.

To assess the diagnostic value of extended sleep duration on a controlled 32-hour bed rest protocol in idiopathic hypersomnia (IH). One hundred sixteen patients with high suspicion of IH (37 clear-cut IH according to multiple sleep latency test criteria and 79 probable IH), 32 with hypersomnolence associated with a comorbid disorder (non-IH), and 21 controls underwent polysomnography, modified sleep latency tests, and a 32-hour bed rest protocol. Receiver operating characteristic curves were used to find optimal total sleep time (TST) cutoff values on various periods that discriminate patients from controls. TST was longer in patients with clear-cut IH than other groups (probable IH, non-IH, and controls) and in patients with probable IH than non-IH and controls. The TST cutoff best discriminating clear-cut IH and controls was 19 hours for the 32-hour recording (sensitivity = 91.9%, specificity = 85.7%) and 12 hours (100%, 85.7%) for the first 24 hours. The 19-hour cutoff displayed a specificity and sensitivity of 91.9% and 81.2% between IH and non-IH patients. Patients with IH above the 19-hour cutoff were overweight, had more sleep inertia, and had higher TST on all periods compared to patients below 19 hours, whereas no differences were found for the 12-hour cutoff. An inverse correlation was found between the mean sleep latency and TST during 32-hour recording in IH patients. In standardized and controlled stringent conditions, the optimal cutoff best discriminating patients from controls was 19 hours over 32 hours, allowing a clear-cut phenotypical characterization of major interest for research purposes. Sleepier patients on the multiple sleep latency test were also the more severe in terms of extended sleep. Ann Neurol 2018;83:235-247.

A novel WSNs routing algorithm based on game theory and energy consumption balance

Wireless sensor networks (WSNs) are extensively used in various fields. However, limited battery power is one of the largest challenges to deploy WSNs application, thus reduce of node energy consumption has become research focus. The common method to save energy is to use sleeping–awaking mechanism for node. Therefore, IST-REC (improved sleep time-based relieved energy consumption) based on optimized sleep time was proposed. IST-REC algorithm was used to improve energy efficiency of node through dynamic set of sleep time for node. IST-REC algorithm was used to firstly establish sensing model for an abnormal event so as to predict occurrence rate of the next abnormal event for establishing cost function according to residual energy factor of node and data risk factor. Conflict between network energy consumption and detection delay of abnormal events could be balanced through cost function. Eventually, cost function could be solved through bisection method so as to obtain the optimal sleep time. The experimental data indicates that proposed IST-REC algorithm can effectively reduce energy consumption and can prolong network lifetime at the time of not increasing detection delay for abnormal events.

Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks

In duty-cycled wireless sensor networks, energy efficiency and packet latency are two most important metrics in the design of medium access control and routing algorithms. However, these two problems cannot be addressed well at the same time. In this article, we investigate the trade-off between energy consumption and latency and formulate them into a multi-objective optimization problem. By applying the single exponential smoothing method, we estimate the amount of data of next period and design two optimal sleep time controllers according to time scheduling model of network, so as to dynamically adjust the duty cycle of end node. Our controllers also consider the residual energy of end node. Finally, we propose two dynamic and adaptive medium access control algorithms for synchronous and asynchronous duty-cycled wireless sensor networks, respectively. We evaluate our protocols with different parameters and compare them with existing works. Performance results show that our proposed algorithms can balance power consumption among nodes and improve power efficiency while guaranteeing packet latency is minimized.

Unrecognized Sleep Loss Accumulated in Daily Life Can Promote Brain Hyperreactivity to Food Cue.

Epidemiological studies have shown that sleep debt increases the risk of obesity. Experimental total sleep deprivation (TSD) has been reported to activate the reward system in response to food stimuli, but food-related responses in everyday sleep habits, which could lead to obesity, have not been addressed. Here, we report that habitual sleep time at home among volunteers without any sleep concerns was shorter than their optimal sleep time estimated by the 9-day extended sleep intervention, which indicates that participants had already been in sleep debt in their usual sleep habits. The amygdala and anterior insula, which are responsible for both affective responses and reward prediction, were found to exhibit significantly lowered activity in the optimal sleep condition. Additionally, a subsequent one-night period of TSD reactivated the right anterior insula in response to food images; however, the activity level of amygdala remained lowered. These findings indicate that (1) our brain is at risk of hyperactivation to food triggers in everyday life, which could be a risk factor for obesity and lifestyle diseases, and (2) optimal sleep appears to reduce this hypersensitivity to food stimuli.

Delay-aware adaptive sleep mechanism for green wireless-optical broadband access networks

Abstract Wireless-Optical Broadband Access Network (WOBAN) is capacity-high, reliable, flexible, and ubiquitous, as it takes full advantage of the merits from both optical communication and wireless communication technologies. Similar to other access networks, the high energy consumption poses a great challenge for building up WOBANs. To shot this problem, we can make some load-light Optical Network Units (ONUs) sleep to reduce the energy consumption. Such operation, however, causes the increased packet delay. Jointly considering the energy consumption and transmission delay, we propose a delay-aware adaptive sleep mechanism. Specifically, we develop a new analytical method to evaluate the transmission delay and queuing delay over the optical part, instead of adopting M/M/1 queuing model. Meanwhile, we also analyze the access delay and queuing delay of the wireless part. Based on such developed delay models, we mathematically derive ONU’s optimal sleep time. In addition, we provide numerous simulation results to show the effectiveness of the proposed mechanism.

Association between reported sleep need and sleepiness at the wheel: comparative study on French highways between 1996 and 2011

ObjectiveTo investigate the evolution over 15 years of sleep schedules, sleepiness at the wheel and driving risk among highway drivers.MethodsComparative survey including questions on usual sleep schedules and before the...

Clinical picture and treatment of jet lag

Symptoms associated with rapid time zone crosses represent one of the major health problems associated with commercial flights. This condition is termed jet lag that is characterized by sleep disturbances (insomnia, sleepiness), somatic symptoms, and decrease in mental and physical outputs. Difference between the light-darkness cycles of the destination and internal homeostatic rhythm is responsible for the syndrome. Restitution of the internal rhythm by appropriate light exposure or melatonin, optimal sleep time and duration, and drugs can be used in its treatment.

Influences of Job Stressors on Psychosocial Well-being, Fatigue and Sleep Sufficiency among Firefighters

Objectives: To measure the job stressors and stress responses among firefighters. Methods: We created a structured, self-reported questionnaire about job stressors using Karasek’s Job Content Questionnaire (JCQ), psychosocial stress using Psychosocial Well-being Index, Short Form (PWI-SF) and fatigue using Multidimensional Fatigue Scale (MFS). The questionnaire also included sociodemographic data, job-related factors, and health-related behaviors. We collected questionnaires from 104 male firefighters, 35 male emergency medical service (EMS) rescuers and 28 male administrators in three different municipal fire departments in Busan from September 23 to October 2, 2003. Chi-square test and multiple logistic regression analysis were used to examine the job stressors using SPSS (10.0). The statistical significance level was 0.05. Results: Both PWI-SF and MFS scores increased in the order of EMS rescuers, firefighters and administrators. Using multiple logistic regression analysis, sleep insufficiency showed statistically significant effects on both PWI-SF (OR=5.19, 95% CI=2.14~12.57) and MFS (OR=2.13, 95% CI=1.02~4.46). Alcohol drinking (OR=0.28, 95% CI=0.10~0.75) had a protective effect on MFS. The odds ratios in job loss and shiftwork were 3.44 (95% CI=1.25~9.42) and 8.69 (95% CI=2.87~26.36) on MFS. Monthly income showed a statistically significant effect on both MFS (OR=5.09, 95% CI=1.34~19.41) and sleep sufficiency (OR=7.27, 95% CI=1.62~32.61). However, there was no statistical significance among the JCQ items on either PWI-SF or MFS. Conclusions: Firefighters in this study had potential psychosocial stress and moderate level of fatigue scale. As a causal factor for these outcomes, sleep insufficiency and job loss, lower monthly income and shiftwork were statistically significantly, which confirm the need for countermeasures to ensure optimal sleep time and to raise monthly income. Further follow-up study using more in-depth interview is also required to identify the effects of both alcohol consumption and job loss.