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 |