The FitBit rest information is interesting, since the unit tracks moments of wakefulness (waking up to attend the toilet) and restlessness (throwing and switching) and adds them together for a total amount of вЂњawakenings.вЂќ It determines time invested in these moments as вЂњawake (whilst in bed)вЂќ mins, which are not incorporated into вЂњasleepвЂќ moments. We averaged 16 awakenings (time awake http://www.besthookupwebsites.org/escort/aurora-1/ or restless) per evening. IвЂ™d like to obtain this quantity down, because IвЂ™ve pointed out that whenever it is lower, I get up feeling more refreshed (presumably because IвЂ™m getting decidedly more sluggish revolution sleep).
I became wondering whether my activity that is daytime had influence on my rest. Maybe more actions or minutes that are active your day correlate with better rest quality or volume through the night. I made the decision to look at these correlations in SAS. However we recognized that the FitBit determines sleep at the start of your day and never at the finish, for instance beginning at 11 pm from the night that is previous 7 am that morning. Therefore so that you can set the activity that took place prior to fall asleep using the subsequent sleep, I experienced to determine correlations between Day 1 activity and time 2 sleep. I made the decision to manage this in succeed by shifting my sleep data values up by 1 line and importing the modified information into SAS.
We looked over correlations and did not test for effect and cause. But if I would like to explore the likelihood of cause and impact i need to set the variables because of this to obtain the chronology right. IвЂ™d get information about the possible effect of sleep quality and quantity on activity, rather than the other way around if I paired Day 1 activity with Day 1 sleep. (more…)