To record my behavior each day, I used an Editor 's’ Choice application called ‘Sleep as Android’ by the Urbandroid Team on the Google Play Store. The application does not require me to record data manually everyday because it has sleep phase detection. This is an optimal way to record sleep because it does not have inaccuracy as a source of error. It is not possible to accurately record data immediately before sleep manually, therefore, the application detection function solves this problem. In addition, it also has sleep statistic, which includes data for: duration, deep sleep percent, cycles, snoring detection and noise detection. The application also takes in account sleep deficiency and sleep patterns to help improve the sleeping duration as my goal for behavior change. As a light sleeper, I tend to wake up in the middle of the night, therefore, the snoring and noise detection statistic is a great function to have for accurate recording of data. The graph above reflects my sleep duration for one week with measurements in minutes. A variance is that the sleeping duration is dependent on my school and work schedule. There is usually more work to do at the beginning and middle of the week. As shown on the graph, Wednesday shows the least amount of minutes slept because I have an exam the following day. The trend shows that near the end of the week and during the weekend, I retain the most sleep of the week because there are usually less work and more time to study and
The sleep improvement program consisst of two sleep ohs pre- and post-Epworth scale, and a pre- and post-Munich Chronotype Questionnaire; in-order to measure and keep track of not only our sleep but our quality as well. Not only does it measure our sleep but its effectiveness as well by comparing our sleep before we used the techniques given to us in class. Analyzing my sleep prior to and post to implementing the changes and suggestions given to us in class to improve our sleep or maintain and healthy sleep cycle, my sleep didn 't improve greatly due to the world load I had. However I did try to keep my sleep constant sleep and wake time; and I did this by using the
The amount of sleep was self-reported by participants using a sleep diary. In the sleep diary participants would note the time they got into bed, how long it took them to fall asleep, the number and duration of awakenings during the night, what time they awoke, and what time they got out of bed. Misinformation or false memory was evaluated in a few different phases. In the first phase the participants took part in a
By monitoring sleep rhythms, and providing feedback about the individual's status and potential for fatigue, companies can reduce the number of accidents, increase productivity and, ultimately, increase the company’s bottom line. Workers that use a device, such as the Readiband, are better able to understand and manage their own sleep cycles by identifying times that they are not sleeping properly. Correcting sleep issues also has an impact on the individual's overall health and happiness, which helps them live
During the school week, I do not get an adequate amount of sleep. I am usually working on homework, performing chores, or doing recreational activities rather than sleeping.
As a college, high school and online student, it is very imaginable how awful my sleep schedule is. For this assignment I seeked to improve it in the best way possible. I assessed my sleep by taking the “Self Assessment 3.1: Do You Get Enough Sleep?” quiz from option number one. While I didn't complete a physical copy of the sleep diary, I did a mental one over the past few days. This week was a terrible one to monitor, as I have recently had a surgery and as a result worse sleep. Also, my brother and his wife recently had a baby boy, and my mother was kind enough to grant them a night of sleep and take care of him for a night. While they got a nice night of sleep, I awoke by a baby’s cries every few hours.
The experimental condition in this study is sleep. So, the group that sleeps well is the experimental group and the group that sleeps poorly is the control group. The experimenters briefed and trained the participants before the start of the two week long Social Rhythmic Metric. After finishing the monitoring period, they turned in the SRM data and completed PSQI, BDI-II. Under standard conditions, the social rhythm is in synchrony with physical zeitgebers that affirm proper circadian rhythm sleep. Overall activity level, regularity, timing and social rhythms, all relate to sleep quality and this study examines the following concepts in a sample of college students. (Carney, Edinger, Lindman, & Istre, 2006) There were 243 participants between 18-39 years of age. 87% of them were female
Sleep is a subjective phenomenon in which each individual is unique with respect to their interpretation of what normal or good sleep means to them. There has been continuous debate concerning what normal sleep means and how it is defined. It is important to understand that the physiology of sleep is constantly evolving in many individuals. For instance, sleep patterns change as one ages. While children have a greater ratio of NREM sleep in comparison to adults, adults demonstrate a greater ratio of REM sleep, compared to children. In addition to age differences, gender has also been shown to demonstrate differences in sleep, most notably in adults. For example, it has been shown that women tend to have a higher percentage of slow wave sleep (SWS) than men. Nevertheless, it is still unclear what determines the definition of normal sleep (1). A multitude of methods and tools have been created to measure normal sleep, both subjective and objective. This includes questionnaires, diaries,
Sleep Cycle will guarantee you never wake up grumpy. The app measures your movement in the bed and wakes you up when you’re in the lightest sleep, instead of waking you up in the middle of your deep sleep.
Modern Technology has helped make the study of sleep economical and easier due to which various studies have been carried out on sleep. And hence experts call this “the dawn of the golden age of sleep research” and ironically the question arises “If this is sleep research’s golden age, then why are we all so tired?” In addition to this the
Over the course of 3 weeks, I discovered that technology leads to the consequences of multitasking and the bad sleep habits contributing to sleep deprivation. The amount of sleep hours I get every night is important in order for my body to function at its best. To find out if I was getting adequate sleep , I created a sleep log and a golden chart which allowed me to observe my sleep patterns. It turns out I got an average sleep time of 9-10 hours, which is good, considering the recommended amount of sleep time is 9.25 hours. From what I learned from the unit and personal perspective, technology creates consequences due to multi-tasking and lowers the amount of sleep I get everyday.
The study done by Rupp, Wesensten, and Balkin looked to determine the extent to which individual differences in vulnerability to total sleep deprivation also reflect individual differences in vulnerability to multiple nights of sleep loss. In order to do this, 19 healthy men and women were recruited for this study. The study design consisted of two phases: sleep restriction consisting of seven nights of sleep restricted to three hours of sleep and total sleep deprivation consisting of approximately 63 hours of continuous wakefulness. The time between phases at 2-4 weeks. The measurements used in this study were an actigraphy which would automatically score the data for total sleep time (minutes of sleep within the identified sleep period). The psychomotor vigilance task (PVT) was administered and was analyzed for speed (1/reaction time*1000) and lapses (number of reaction times ≥ 500 msec). The Stanford sleep scale (SSS) had the volunteers select which of the seven statements best described their current state of alertness. The mood scale had seven dimensions of mood being assessed which included vigor, restlessness, depression, anger, fatigue, anxiety, and happiness. Mathematic processing (MATH) had
Some of the statics say daytime sleepiness is a major problem, exhibited by 50% of college students compared to 36% of adolescents and adults. At least 3 days a week, 60% of students report that they are dragging, tired, or sleepy. Let us give a quick definition of what sleepiness is “The inability or difficulty in maintaining alertness during the major wake period of the day, resulting in unintended lapses into drowsiness or sleep.” “Sleep deprivation is defined as obtaining inadequate sleep to support adequate daytime alertness.” It is not clearly defined on how much sleep a college student or young adult needs, however; it is thought to be around eight hours. With that being said approximately 70.6 percent of most college students obtain less than the eight desired hours of
Sleepnumber beds, the beds which you can alter the firmness or softness of the bed with a touch of a button, now use this technology in their SleepIQ feature. There are beds now designed with sensors inside them that send the data recorded each night to the owner’s phone. With this, you can receive even more accurate data points about your sleeping patterns because the bed’s sensors will cover more area than one minute phone can manage.
Do you fall asleep as soon as you go to bed? Do you feel rested and full of energy in the morning? According to Morin (2011), more than 40% of Canadians have at least one symptom of insomnia, and almost 20% are not satisfied with the quality of their sleep. These numbers seem astonishing. In order to be healthy and not suffer from any sleep disorders, everybody should understand the importance of good sleep, know basic facts about common sleep disorders, and be aware of ways of their diagnosing, treatment, and preventing.
In this chapter we aim to re-programme your sleep pattern so that you develop a strong and lasting sleep pattern that meets your requirements.