An example of this is a recent study published in Science Advances by a research team from the University of Michigan.
The University of Michigan team developed a smartphone app called ENTRAIN and then used the app to collect sleep data on subjects from around the world.
They came up with some very interesting findings including the following:
- The time of going to sleep appears more influenced by social environmental factors.
- The time of awakening appears influenced primarily by biological factors
- Exposure to sunlight versus indoor light also appears to influence sleep patterns
- Sleep pattern variability is strongly related to age
The age effect in sleep in their study being:
"That the older population is more homogeneous in their sleep habits because there is a narrower range of circadian phases at which they can readily sleep."This is an important study that highlights what we can learn from smartphone data that can be applied to population problems such as lack of adequate sleep.
Read about this study at Medical Xpress here.
The free full text manuscript can be accessed by clicking on the DOI link in the manuscript below.
Figure reproduced in this post is from a Wikipedia Creative Commons figure cited below:
By Google, AOSP - User-created screenshot, Apache License 2.0, https://commons.wikimedia.org/w/index.php?curid=42781988
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Walch, O., Cochran, A., & Forger, D. (2016). A global quantification of "normal" sleep schedules using smartphone data Science Advances, 2 (5) DOI: 10.1126/sciadv.1501705
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