Over the past week, I have been monitoring the amount of sleep that I had and its effects on my overall efficiency at work and in my daily activities. Since “efficiency” is a bit of a hard idea to quantify when it comes to the human experience, I decided to note how much leisure time I gave myself depending on how much sleep I had had the previous night.
Day 1 (12/02/18)
Having worked the night before, and obviously not having class on a Sunday, I obviously allowed myself to sleep in until around 2:00pm, after having gone to sleep around 5:30am since the bar had had a busy night and required a lot of cleaning. At 8.5 hours, I think that this serves as a fairly good control for my observation, as it is firstly the around the amount of recommended hours for an American adult to have per night, and secondly, as it gave me an equal amount of leisure time and time to do chores around the house before work.
Day 2 (12/03/18)
Once again having worked the previous night and having gone to sleep at an early hour in the morning of 4:00am, I allowed myself to sleep in until 2:00pm, accumulating a total of 10 hours this time however. The difference was surprisingly notable, because I found myself spending most of my day in leisure time activities with little to no work done that day.
Day 3 (12/04/18)
The first morning that I hadn’t worked the night before showed a marked difference in the way in which I slept, and also the amount. I slept intermittently from 10:45pm to 7am (8.25 hours), and then napped for 2 hours from 6pm-8pm before going to work. On days without school, I would say that this is the norm, as I need to sleep a little more in order to make it through the graveyard shift. I was well rested at work, although anticipating going to work hindered some of my chores as I didn’t want to tire myself out. Altogether I would say my efficiency was higher on this day, as I worked more than I relaxed (outside of sleep).
Day 4 (12/05/18)
I once again allowed myself to sleep in a good bit from 4:30am-1:00pm (8.5 hours), having worked the night before. I think that slightly under this amount is probably my ideal amount, at just over 8 hours, since that was my most productive day, and this day followed suit. Once again I allowed myself a nap (6pm-7pm) before work at 10pm.
Day 5 (12/06/18)
This day was the opposite of a control, as, having an exam at 8am, I went straight to the library after work and stayed there until my exam. Obviously productivity took a hit, but I am more accustomed to being awake at earlier hours. The time after the exam, however, caught up to me and I slept from 3pm-8pm, before going to work at 10pm.
Day 6 (12/07/18)
After having worked until 5am, and still recovering from an all-nighter the day before, I allowed myself to sleep in until 3 (10 hours). Productivity was an all-time low, as leisure dominated the day.
Day 7 (12/08/18)
That day I woke up at 9am in order to train after having slept from 12am (9 hours). Leisure time did not come into the equation as I was busy for most of the day until work at 10.
The National Sleep Foundation has stated that for younger adults (18-25) it is recommended that an individual get 7-9 hours of sleep per night in order to function at the highest level possible (National Sleep Foundation, 2018). This can be affected by many other physical attributes, such as being overweight, being at risk for certain diseases, and how much caffeine one intakes on a daily basis. For my research it is also very important to consider my unusual sleeping hours, putting me at high risk for health issues surrounding those who work night shifts, such as “restlessness, sleepiness on the job, fatigue, decreased attention and disruption of the body’s metabolic process.” (Price, 2011). Decision making is also very hindered due to the body not being on its natural rhythm, or rather the rhythm that it was accustomed to for the majority of its existence. In this paper we will look into how differing amounts of sleep affected my performance at work and academically, while also looking into the app I used to monitor myself, its effectiveness, and how surveilling myself changed my actions on a daily basis, specifically in regards to sleep.
In general, the data which I collected over the week were a bit abnormal, since I didn’t have to wake up for class every day. My usual sleep schedule is more broken up over a day (i.e. 4 hours from 4am-8am, then a nap from 5pm-8pm before work). I believe that this sleep schedule would have proved more difficult to monitor the changes in my productivity vs. leisure time, as more time in a “day” would be devoted purely to sleeping. The amount that I slept I think was consistent this past week with how I usually do in terms of hours, however, which I think proves beneficial to my findings. When looking at the data, it is evident that somewhere between 8-9 hours of sleep the night previous made for the most productive following day, in comparison to how much leisure time I allowed myself. Something else that affected the data, I think, is the fact that I knew that I was monitoring how much leisure time I was having, which inherently gave me a bias towards trying to be more productive than I usually would perceive that I am, even though I had less to do with the semester coming to a close. Interestingly, having already received the grade to the exam for which I did not sleep after work, my performance actually increased in terms of grade from the Midterm (for which I was rested at 4 hours of sleep after working the night before) to the Final from a 90 to a 95. I believe this to be an outlier in the data when it comes to the amount of sleep that I as an individual of 24 years old need, although it could be attributed to my nocturnal lifestyle due to work and not feeling the strain of being awake for extended periods of time until much later than the general population.
I decided that the most interesting and to the point app to use would be the one which is automatically downloaded in every IPhone, the Health App. This app allows you to track the time that you get in bed and when you got out of bed. I found this app to be a bit uneasy to manage, as after a long day, or in my case a long night at work, it was difficult to remember to set the app and un-set it in the morning. Also, as a restless sleeper I felt as though it would have been more beneficial for the experiment in hindsight to use an app that actually read when you were sleeping according to how much you moved once you were in bed. This would have given me a better estimate of the actual amount of time that I slept, as opposed to the time that I went to sleep and then ultimately woke up for the last time.
The app did however enlighten me to how my phone is tracking my movements daily. One can see how many miles one walked every day, as well as steps walked and floors climbed. I found this to be unsettling because I did not realize that it monitored that as this week was the first time that I had ever opened the app after three years of having the same phone. It would not be a farfetched assumption to make that not only are those pieces of data being sent to the phone manufacturer, but also to the cell-phone company themselves, in my case AT&T. It can also be a very good thing that the phone manufacturer can track one of their devices, as if someone is missing and their phone is still on, or if their phone has been stolen, then the proper authorities can be alerted to the phone, and maybe the victim’s location.
In tracking myself I believe that I gained a very good insight into my own activity, as well as an insight into how others are tracking my activity on a daily basis through the data that I share, either willingly or unwillingly. The class of LTGR 250 with Dr. Koellner alerted me to a fact that I was aware of in the back of my mind, but was not very alarmed by on a daily basis: the fact that everyone is being monitored, and also that we ourselves monitor other people in our own way.
Works Cited
- “How Much Sleep Do We Really Need?” National Sleep Foundation, National Sleep Foundation, 2018, sleepfoundation.org/excessivesleepiness/content/how-much-sleep-do-we-really-need-0.
- Price, Michael. “The Risks of Night Work.” American Psychological Association, American Psychological Association, www.apa.org/monitor/2011/01/night-work.aspx.