Table 1 Study demographic characteristics.

From: Sociodemographic characteristics of missing data in digital phenotyping

 

Study A

Study B

Study C

Study D

Study E

Study F

Total (%)

Participants, N

16

11

12

59

39

74

211 (100%)

Mean (SD) age, y

19.4 (1.2)

31.5 (9.5)

20.4 (1.5)

41.1 (6.3)

18.4 (0.6)

18.2 (0.7)

25.4 (10.8)

Phone OS, N

Android

0

7

12

40

35

69

163 (77%)

iOS

16

4

0

19

4

5

48 (23%)

Gender, N

Male

4

8

5

0

16

36

69 (33%)

Female

12

3

7

57

23

38

140 (66%)

Missing

0

0

0

2

0

0

2 (1%)

Education, N

High school

16

1

12

0

39

74

142 (67%)

Associates

0

6

0

3

0

0

9 (4%)

Bachelors

0

3

0

36

0

0

39 (18%)

Graduate degree

0

1

0

13

0

0

14 (7%)

Missing

0

0

0

7

0

0

7 (3%)

Race/ethnicity, N

Non-Hispanic White

7

9

9

32

14

46

117 (55%)

Non-Hispanic Black

4

1

2

12

3

9

31 (15%)

Asian

5

1

1

7

14

9

37 (18%)

American Indian

0

0

0

0

0

2

2 (1%)

Other/Hispanic

0

0

0

5

5

5

15 (7%)

Missing

0

0

0

3

3

3

9 (4%)

  1. General sociodemographic characteristics of each study and across all studies. Studies A, C, E, and F consisted of healthy undergraduate students from Harvard College. Study B consisted of patients known to be at risk for mania and psychosis from McLean Hospital in Massachusetts. Study D consisted of healthy female nurses from the Nurses’ Health Study 3. In parentheses, the Total column shows the row percent relative to the entire sample except for the age row where it shows the sample standard deviation of age in years.