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. Author manuscript; available in PMC: 2020 Jul 10.
Published in final edited form as: Proc ACM Interact Mob Wearable Ubiquitous Technol. 2019 Dec;3(4):151. doi: 10.1145/3369809

Table 3.

Example data elements and granularities participants from [74] described tracking for each data type. Data elements were generally orthogonal to a participant’s goal, depending more on their habits and experiences.

Data Type Example Data Element Example Granularity
Symptoms Migraine Binary
Duration
Location
Severity from 1–10
MIDAS score (i.e., a validated scale to characterize severity [81])
Aura Binary
Nausea Binary
Treatments Medications Binary (i.e., for specific medications)
Number of pills
Supplements Binary (i.e., for specific supplements)
Yoga Binary
Mindfulness Unspecified
Exercise Number of steps
Fitbit reports
Minutes
Contributors Caffeine Binary
Number of milligrams
Menstruation Using a menstrual tracking app
Diet Everything they ate
Whether they ate a specific thing (e.g., corn, dairy, wheat, tannins, nitrates)
Sleep quality Using a Fitbit
Scale from 1–10