Table 1.
Participant characteristics (N=121).
| Demographic variables | Values, n (%) | |
| Gender | ||
|
|
Male | 33 (27.3) |
|
|
Female | 88 (72.7) |
| Age (years) | ||
|
|
18-25 | 12 (9.9) |
|
|
26-40 | 85 (70.2) |
|
|
41-55 | 20 (16.5) |
|
|
56-65 | 4 (3.3) |
| Income status (US $) | ||
|
|
25,000-49,999 | 24 (19.8) |
|
|
50,000-74,999 | 48 (39.7) |
|
|
75,000-99,999 | 16 (13.2) |
|
|
≥100,000 | 13 (10.7) |
|
|
Prefer not to answer | 20 (16.5) |
| Education | ||
|
|
Bachelor’s degree | 72 (59.5) |
|
|
Master’s degree | 41 (33.9) |
|
|
PhD | 2 (1.7) |
|
|
Others | 6 (5.0) |
| Occupationa | ||
|
|
Working full time | 66 (54.5) |
|
|
Working part time | 43 (35.5) |
|
|
Unemployed | 8 (6.6) |
|
|
Unable to work | 1 (0.8) |
|
|
Other | 3 (2.5) |
| Raceb | ||
|
|
African American | 21 (17.5) |
|
|
Asian | 18 (15.0) |
|
|
Native Hawaiian or Pacific Islander | 1 (0.8) |
|
|
White | 57 (47.5) |
|
|
Other | 19 (15.8) |
|
|
Prefer not to answer | 4 (3.3) |
aAll demographic questions were optional. Four respondents reported their occupation status as either “unable to work” or “other.” For clarity, we removed these responses and reran partial least squares analysis, producing the identical results.
bN=120.