Table 1.
Demographics of participants (n = 47).
| Participants | Wearable device | ||
|---|---|---|---|
| BMI, kg/m2 (mean±SD) | 26.0±6.2 | Ease of use, 1–10 scale (mean±SD) | 9.0±1.3 |
| Gender (% female) | 80.9 | Device (%) | |
| Age (%) | Apple watch | 25.5 | |
| 18–24 years | 48.9 | Fitbit | 42.6 |
| 25–34 years | 36.2 | Garmin | 6.4 |
| 35–54 years | 10.5 | iPhone | 8.5 |
| 55–64 years | 4.3 | Samsung gear | 2.1 |
| Race/ethnicity (%) | Wahoo | 2.1 | |
| Asian/Pacific Islander | 8.5 | Unknown | 12.8 |
| Black/African American | 19.1 | Length of ownership (%) | |
| Hispanic (%) | 19.1 | <3 months | 12.8 |
| White/Caucasian | 63.8 | 3–6 months | 2.1 |
| Other | 4.3 | 6–12 month | 27.7 |
| Employment (%) | 1–2 years | 21.3 | |
| Employed | 48.9 | 2–3 years | 21.3 |
| Military | 2.1 | >3 years | 14.9 |
| Retired | 2.1 | Device wear (%) | |
| Student | 42.6 | Never | 4.3 |
| University faculty/staff | 4.3 | Only during workouts | 8.5 |
| Health conditions (%) | Periodically | 6.4 | |
| Arthritis | 19.1 | Daily | 80.9 |
| Cancer | 8.5 | Information display (%) | |
| Heart/cardiovascular | 8.5 | In an app | 63.8 |
| Hypertension | 12.8 | Monitor | 85.1 |
| Metabolic disease | 2.1 | On a computer | 17.0 |
| Mental health disorder | 17.0 | Level of personalization (%) | |
| Respiratory | 14.9 | Self-selected goals from options | 70.0 |
| Stroke | 2.1 | Self-selected goals | 8.5 |
| Other | 27.7 | Device-selected based on user information | 17.0 |
| Device-selected goal for unknown reasons | 2.1 | ||
| Other | 2.1 | ||