Table 1.
Racial and ethnic representations in US BYOD studies
Study name/data | White | Black | Asian | Hispanic/Latino | Other | Reference(s) |
---|---|---|---|---|---|---|
All of Us (Fitbit) | 82.4 | 4.5 | 3.0 | 6.4 | 2.4 | 45 |
All of Us (all participants) | 51.5 | 21.2 | 3.3 | 18.8 | NA | 45 |
Asthma Health App | 69 | 5 | NA | 14 | 7 | 46 |
CovIdentify | 87.6 | 3.6 | 3.3 | 4 | NA | 47 |
MyHeart Counts | 76.1 | 3.3 | 8.8 | 7.3 | 4.44 | 48 |
MyPHD | 74.9 | 2.9 | 3.9 | 0 | 18.3 | 49 |
PARADE App | 80.7 | 4 | 2.8 | 10 | NA | 50 |
Predicting Daily Mood | 57.5 | 16.2 | NA | 15.1 | NA | 51 |
SleepHealth Mobile App | 77.9 | 2.9 | 5.2 | 11.3 | 3.7 | 52 |
TemPredict | 81 | 0 | 4 | 17 | 15 | 53 |
US Census demographics | 60.1 | 13.4 | 5.9 | 18.5 | NA | 54,55 |
COVID-19 positive cases | 34.8 | 21.8 | 3.9 | 33.4 | NA | 54,55 |
Deaths in the United States due to COVID-19 | 53.6 | 23.3 | 5.0 | 17.1 | NA | 54,55 |
Studies such as All of Us and Predicting Daily Mood have promoted inclusivity; however, minorities remain routinely underrepresented in US BYOD studies. This includes studies focused on COVID-19, although Black and Hispanic/Latino populations exhibit disproportionately greater mortality rates due to COVID-19.
Abbreviations: BYOD, bring-your-own-device; COVID-19, coronavirus disease 2019.