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 |