Table 1.
Demographic variables associated with app usage.
| Demographic variables | Device+/App+ nb,c (%)d |
Device+/App- n (%) |
Device- n (%) |
P value |
| Sex (female vs male; na,c=3519) | 808 (51.62) | 1555 (50.23) | 1156 (55.29) | .39 |
| Age (18-44 years vs 45+ years; n=3415) | 782 (65.62) | 1552 (52.25) | 1111 (21.92) | <.001 |
| Education (high school or less vs some college or college graduate, n=3444) | 788 (12.72) | 1535 (27.95) | 1121 (51.82) | <.01 |
| Income (US $0-49,999 vs 50,000 or greater; n=3530) | 808 (31.72) | 1560 (42.20) | 1162 (75.12) | <.001 |
| Race or ethnicity (white vs other; n=3273) | 763 (71.85) | 1453 (78.52) | 1057 (83.68) | <.01 |
| BMI (normal vs overweight, obese; n=3420) | 782 (33.71) | 1524 (36.98) | 1114 (33.82) | .49 |
| Metro vs nonmetro (n=3584) | 816 (92.10) | 1577 (85.67) | 1191 (78.93) | <.001 |
| Speak English (very well or well vs not well or not at all; n=3584) | 759 (99.37) | 1497 (97.13) | 1089 (90.37) | <.001 |
| Self-rated health (excellent, very good, good vs fair or poor; n=3477) | 795 (92.85) | 1544 (89.74) | 1138 (74.99) | <.001 |
aThe sample sizes (n’s) listed for each variable in the far left column represent the total number of respondents across all app-usage categories (Device+/App+, Device +/App-, Device-) who answered that question.
bThe sample sizes (n’s) listed for each variable within each cell represent the total number of respondents within a given app-usage category (either Device+/App+, Device +/App-, or Device-) who answered that question.
cSample sizes vary for each variable due to missing values.
dPopulation estimates were used for the numerators and denominators in the calculation of percentages. Row percentages do not add to 100%, as the table shows percentages within a given app-usage category (Device+/App+, Device +/App-, or Device-).