Table 4.
Prospective, longitudinal studies using wearable activity monitors to assess physical activity and examine it in relation to disease endpoints. Reproduced with permission from Dr. I-Min Lee (Wearable Devices and the 24-Hour Activity Cycle, conference held at Stanford University, Palo Alto, 27–28 April 2016)
| Study | Start year | Sample size | Population age | Device | Delivery mode |
|---|---|---|---|---|---|
| REGARDS | 2008 | ~10,000 | 56+ years | Actical | |
| EPIC Norfolk | 2008 | 3892 | 60–80 years | ActiGraph GT1 M | In Person |
| Actife Ulm | 2009 | 1500 | 65–90 years | ActivPAL | In Person |
| BRHS | 2010 | ~2500 | Mean 78 years | ActiGraph GT3X | |
| Maastricht Study | 2010 | ~10,000 | 40–75 years | ActivPAL | In Person |
| WHS | 2011 | ~18,000 | 62+ years | ActiGraph GT3X+ | |
| WHI | 2012 | ~7000 | 63+ years | ActiGraph GT3X+ | In Person/Mail |
| UK Biobank | 2013 | ~100,000 | 40–69 years | Axivity AX3 |
REGARDS reasons for geographic and racial differences in stroke, EPIC European prospective investigation of cancer, BRHS British Regional Heart Study, WHS Women’s Health Study, WHI women’s health initiative