Table 1. Cell phone/smart phone ownership and use of health apps based on demographics.
| Variables | Overall (N=103) [%] | Own cell phone | Own a smart phone‡ | Use health apps§ | |||||
|---|---|---|---|---|---|---|---|---|---|
| n=84 [82] (%) | P | n=70 [88] (%) | P | n=27 [39] (%) | P | ||||
| Age† | 0.098 | 0.097 | 0.83 | ||||||
| 18–29 | 30 [34] | 27 [90] | 24 [92] | 9 [38] | |||||
| 30–49 | 42 [47] | 35 [83] | 32 [91] | 14 [44] | |||||
| 50–64 | 14 [16] | 11 [79] | 8 [80] | 4 [50] | |||||
| ≥65 | 3 [3] | 1 [33] | 1 [33] | 0 | |||||
| Gender† | 0.54 | 1.00 | 0.58 | ||||||
| Female | 68 [74] | 54 [79] | 47 [89] | 21 [45] | |||||
| Male | 24 [26] | 21 [88] | 17 [89] | 6 [35] | |||||
| Race/ethnicity† | 0.031 | 0.84 | 0.85 | ||||||
| Hispanic/Latino | 67 [67] | 51 [76] | 44 [88] | 17 [39] | |||||
| Non-Hispanic Black | 27 [27] | 26 [96] | 21 [84] | 43 [43] | |||||
| Other | 6 [6] | 6 [100] | 4 [100] | 1 [25] | |||||
| Income† | 0.094 | 0.24 | 0.77 | ||||||
| < $30,000/year | 49 [71] | 41 [84] | 31 [82] | 13 [42] | |||||
| ≥ $30,000/year | 20 [29] | 20 [100] | 19 [95] | 9 [47] | |||||
| Education† | 0.17 | 1.00 | 0.0088 | ||||||
| < High school | 39 [40] | 30 [77] | 24 [89] | 4 [17] | |||||
| ≥ High school | 59 [60] | 52 [88] | 45[88] | 23 [51] | |||||
| Insurance† | 0.011 | 0.073 | 0.80 | ||||||
| Medicare | 7 [7] | 4 [57] | 2 [50] | 1 [50] | |||||
| Medicaid | 31 [31] | 25 [81] | 24 [96] | 10 [42] | |||||
| Private | 25 [25] | 25 [100] | 18 [82] | 8 [44] | |||||
| Uninsured | 37 [37] | 29 [78] | 25 [89] | 8 [32] | |||||
†, number of participants with missing information for the following variables: age [14], gender [11], race/ethnicity [3], income [34], education [5], insurance [3]; ‡, only those who reported owning a cell phone were asked if their cell phone is a smart phone; §, only those who reported owning a smart phone were asked about health apps.