Table 1.
Sample characteristics and technology use of study participants compared for age category (N=282).
| Characteristics | Age category (years) | P value, across ages | |||
| <56, N=44 | 56-69, N=123 | >69, N=115 | |||
| Gender | |||||
| Male, n (%) | 34 (77) | 91 (74.0) | 79 (68.7) | .52 | |
| Married/partnered, n (%) | 33 (75) | 82 (66.7) | 69 (60.0) | .18 | |
| English primary language, n (%) | 42 (95) | 111 (90.2) | 105 (91.3) | .79 | |
| Completed high school, n (%) | 30 (68) | 81 (65.9) | 67 (58.3) | .36 | |
| Employed, n (%) | 29 (65) | 49 (39.8) | 6 (5.2) | <.001 | |
| Metropolitan residence n (%) | 35 (79) | 96 (78.0) | 94 (81.7) | .77 | |
| Technology use | |||||
| Mobile technologya, n (%) | 39 (88) | 96 (78.0) | 65 (56.5) | <.001b | |
| Mobile apps, n (%) | 31 (70) | 52 (42.3) | 24 (20.9) | <.001b | |
| Health-related use, n (%) | 32 (72) | 74 (60.2) | 49 (42.6) | .001b | |
| Confidence (1-highest, 4-lowest), mean (SD) | 2 (0.92) | 2.41 (0.96) | 2.67 (0.89) | .001b | |
amobile phone or tablet.
bpost hoc analyses all P<.01.