Table 1.
Socio-demographic characteristics of questionnaire participant
| Demographic variables (N = 1494) | All participants N (%) | Australian population % |
|---|---|---|
| Gender (N = 1489, 99.7%)a | ||
| Male | 487 (32.7) | 49 |
| Female | 994 (66.8) | 50.7 |
| Other | 8 (0.5) | ND |
| Age (years) (N = 1493, 99.9%) | ||
| 18–34 | 58 (3.9) | 31 |
| 35–54 | 369 (24.7) | 36 |
| 55+ | 1066 (71.4) | 37 |
| Education (N = 1492, 99.9%) | ||
| University | 918 (61.5) | 23 |
| Non-university | 574 (38.5) | 77 |
| Didn't complete year 10 | 21 (1.4) | 11 |
| Year 10 or equivalent | 107 (7.2) | 13 |
| Year 12 or equivalent | 155 (10.4) | 19 |
| TAFE/Apprenticeship or equivalent | 291 (19.5) | 30 |
| State of residence (N = 1475, 98.7%) | ||
| Queensland | 820 (55.6) | 20.1 |
| Non-Queensland | 655 (44.4) | 79.9 |
| New South Wales | 249 (16.9) | 32.0 |
| Victoria | 174 (11.8) | 25.3 |
| Western Australia | 79 (5.4) | 10.6 |
| South Australia | 61 (4.1) | 7.2 |
| Tasmania | 35 (2.4) | 2.2 |
| Australia Capital Territory | 49 (3.3) | 1.7 |
| Northern Territory | 8 (0.5) | 0.9 |
| Worked in life science (N = 1487, 99.5%) | ND | |
| No | 1384 (93.1) | |
| Yes | 103 (6.9) | |
| Worked in healthcare (N = 1487, 99.5%) | ||
| No | 1014 (68.2) | |
| Yes | 473 (31.8) | 12.6 b |
| Had genetic or genomic testing (N = 1492, 99.9%) | ND | |
| No | 920 (61.7) | |
| Yes | 435 (29.2) | |
| Unsure | 137 (9.2) | |
| SEIFA (ISRAD) (N = 1474, 98.7%) | ||
| 1 (most disadvantages) | 136 (9.2) | 20 |
| 2 | 195 (13.2) | 20 |
| 3 | 244 (16.6) | 20 |
| 4 | 405 (27.5) | 20 |
| 5 (most advantaged) | 494 (33.5) | 20 |
| Location (N = 1474, 98.7%) | ||
| Metropolitan | 916 (62.1) | 67 |
| Regional | 558 (37.9) | 33 |
ND no data available from 2016 Census
aTotal number of participants who responded to question and percentage of total questionnaire respondents
bPercentage of workforce age population working in health and social services sector at time of 2016 Census