Table 3. Baseline characteristics of participants with linked device use by frequency of device use.

Characteristic	Consistent Long-term Users n = 93	All others n = 3380	p*
	Mean (SD)	Mean (SD)
Age	56.4 (12.8)	46.9 (12.5)	< .0001
	n (%)	n (%)
Sex (% Men)	83 (89.3)	2847 (84.2)	0.19
Household Composition
Single	26 (28.0)	904 (26.86)	0.79
Married/Domestic Partner	63 (67.7)	2232 (66.0)	0.73
Children	15 (26.1)	1235 (36.5)	< .0001
Parents	5 (4.5)	201 (6.0)	0.82
Level of Education
<12 years	0	9 (0.3)	0.02
High School/GED	6 (6.5)	68 (2.0)
Some College	16 (17.4)	470 (14.0)
Associate Degree	7 (7.6)	143 (4.3)
Bachelor's Degree	26 (28.3)	1275 (38.1)
Graduate Degree	37 (40.2)	1382 (41.3)
Medical Background
No	116 (74.8)	2399 (72.5)	0.45
Some	23 (14.9)	524 (15.8)
Professional	16 (10.3)	395 (11.9)
Frequency of Use of Medical Devices
Do not use	14 (15.1)	731 (21.8)	< .0001
1–6 times a week	37 (39.8)	1776 (52.6)
Once daily	33 (35.5)	766 (22.8)
Multiple times a day	9 (9.7)	101 (3.0)
"Smart" wellness technology?
Activity Tracker	51 (54.8)	1835 (54.3)	0.92
Smart Scale	27 (29.0)	1051 (31.1)	0.67
Smart Watch	14 (15.1)	821 (24.3)	0.04
Sleep Tracker	29 (31.2)	978 (28.9)	0.64
Mobile Health App	41 (44.1)	148 (44.0)	0.99
None	28 (30.1)	928 (27.5)	0.57
Early Adopter of Medical Technology?
Agree	108 (70.1)	2364 (68.7)	0.47
Neutral	20 (21.5)	796 (23.7)
Disagree	9 (9.7)	251 (7.6)
Self-rated Health
Currently Managing Personal Health Condition	84 (54.2)	1474 (44.6)	0.02
Limitation of Moderate Activities
No, not limited at all	76 (81.7)	2789 (82.9)	0.95
Yes, limited a little	12 (12.9)	409 (12.2)
Yes, limited a lot	5 (5.4)	165 (4.9)

*p for difference between sustained regular device users and all others by t-test (age) or Chi square (categorical variables)