Table 1.
Sample characteristics and descriptive statistics for study variables at baseline and at 1 week follow-up
| Variable | Australia sample | U.S. sample | ||
|---|---|---|---|---|
| Baseline | Follow-up | Baseline | Follow-up | |
| Participants | 495 | 365 | 701 | 440 |
| Age, M years (SD) | 47.09 (17.11) | 49.78 (16.89) | 45.55 (17.40) | 51.77 (16.26) |
| Gender, n (%)a | ||||
| Female | 252 (51.1) | 182 (50.1) | 352 (48.9) | 205 (46.6) |
| Male | 241 (48.9) | 181 (49.9) | 341 (50.5) | 231 (52.5) |
| Not specified/prefer not to answer | 0 (0.0) | 0 (0.0) | 4 (0.6) | 4 (0.9) |
| Employment status, n (%)b | ||||
| Currently unemployed/full-time caregiver | 231 (46.7) | 180 (49.3) | 330 (47.3) | 216 (49.5) |
| Part-time/casual employed | 97 (19.6) | 65 (17.8) | 106 (15.2) | 60 (13.8) |
| Currently employed full time | 140 (28.3) | 104 (28.5) | 233 (33.4) | 147 (33.7) |
| Leave without pay/furloughed | 27 (5.5) | 16 (4.4) | 28 (4.0) | 13 (3.0) |
| Marital status, n (%)c | ||||
| Married | 184 (37.2) | 146 (40.0) | 300 (43.0) | 224 (51.4) |
| Widowed | 8 (1.6) | 7 (1.9) | 22 (3.2) | 18 (4.1) |
| Separated/divorced | 53 (10.7) | 39 (10.7) | 69 (9.9) | 47 (10.8) |
| Never married | 160 (32.3) | 103 (28.2) | 255 (36.6) | 126(28.9) |
| Married de facto | 90 (18.2) | 70 (19.2) | 51 (7.3) | 21 (4.8) |
| Ethnicity, n (%)d | ||||
| Black | 3 (0.6) | 1 (0.3) | 52 (7.5) | 26 (6.0) |
| Caucasian/White | 392 (79.2) | 304 (83.3) | 566 (81.2) | 376 (86.2) |
| Asian (South-East Asia/South Asia) | 71 (14.3) | 43 (11.8) | 39 (5.6) | 24 (5.5) |
| Middle-Eastern | 6 (1.2) | 3 (0.8) | 1 (0.1) | 0 (0.0) |
| Other | 13 (2.6) | 6 (1.6) | 27 (3.9) | 8 (1.8) |
| Prefer not to answer | 10 (2.0) | 8 (2.2) | 12 (1.7) | 2 (0.5) |
| Income, n (%)e | ||||
| Zero income | 8 (1.7) | 4 (1.2) | 31 (4.4) | 19 (4.4) |
| $1–$199 ($1–$10,399) | 9 (2.0) | 6 (1.8) | 40 (5.7) | 24 (5.5) |
| $200–$299 ($10,400–$15,599) | 12 (2.6) | 8 (2.4) | 34 (4.9) | 23 (5.3) |
| $300–$399 ($15,600–$20,799) | 19 (4.1) | 12 (3.6) | 38 (5.5) | 23 (5.3) |
| $400–$599 ($20,800–$31,199) | 42 (9.2) | 33 (9.9) | 62 (8.9) | 33 (7.6) |
| $600–$799 ($31,200–$41,599) | 57 (12.4) | 42 (12.6) | 61 (8.8) | 39 (8.9) |
| $800–$999 ($41,600–$51,999) | 45 (9.8) | 31 (9.3) | 68 (9.8) | 46 (10.6) |
| $1,000–$1,249 ($52,000–$64,999) | 39 (8.5) | 32 (9.6) | 48 (6.9) | 38 (8.7) |
| $1,250–$1,499 ($65,000–$77,999) | 28 (6.1) | 22 (6.6) | 59 (8.5) | 41 (9.4) |
| $1,500–$1,999 ($78,000–$103,999) | 72 (15.7) | 50 (15.0) | 72 (10.3) | 48 (11.0) |
| $2,000 or more ($104,000 or more) | 81 (17.6) | 62 (18.6) | 108 (15.5) | 74 (17.0) |
| Prefer not to answer | 47 (10.2) | 32 (9.6) | 76 (10.9) | 28 (6.4) |
| Education level, n (%) | ||||
| Completed junior/lower/primary school | 18 (3.6) | 17 (4.7) | 6 (0.9) | 0 (0.0) |
| Completed senior/high/secondary school | 133 (26.9) | 98 (26.8) | 265 (37.8) | 132 (30.0) |
| Postschool vocational qualification/diploma | 147 (29.7) | 111 (30.4) | 138 (19.7) | 94 (21.4) |
| Undergraduate university degree | 131 (26.5) | 93 (25.5) | 214 (30.5) | 159 (36.1) |
| Postgraduate university degree | 66 (13.3) | 46 (12.6) | 78 (11.1) | 55 (12.5) |
SD standard deviation.
aTwo participants in the Australian sample did not report their gender and four participants in the U.S. sample did not report their gender.
bFour participants in the U.S. sample did not report their employment status.
cFour participants in the U.S. sample did not report their marital status.
dFour participants in the U.S. sample did not report their ethnicity.
eThirty-one participants in the Australian sample did not report their income and four participants in the U.S. sample did not report their income.