Table 3.
Participant socio-demographics
| Age | ||
| Mean (95% CI) | 66.9 (65.3–68.5) | |
| Range | 45–89 | |
| Median | 67 | |
| n | % | |
| State/Territory | ||
| Victoria | 12 | 11.2 |
| New South Wales | 10 | 9.3 |
| ACT | 1 | 0.9 |
| Queensland | 64 | 59.8 |
| Western Australia | 15 | 14.0 |
| South Australia | 5 | 4.7 |
| ARIA class | ||
| Major cities | 52 | 48.6 |
| Inner regional | 33 | 30.8 |
| Outer regional | 17 | 15.9 |
| Remote | 3 | 2.8 |
| U nmatcheda | 2 | 1.9 |
| Socio-economic rankb | ||
| 1st quartile | 18 | 16.8 |
| 2nd quartile | 15 | 14.0 |
| 3rd quartile | 21 | 19.6 |
| 4th quartile | 30 | 28.0 |
| 5th quartile | 21 | 19.6 |
| Missing data | 2 | 0.2 |
| Relationship status | ||
| Not partnered | 40 | 37.4 |
| Partnered | 64 | 59.8 |
| Missing data | 3 | 2.8 |
| Education level | ||
| Non tertiary | 50 | 46.7 |
| Tertiary | 54 | 50.5 |
| Missing data | 3 | 2.8 |
| Have children | ||
| Yes | 93 | 86.9 |
| Have children including daughter(s) | ||
| Yes | 73 | 78.5 |
aPostcode reserved for non-standard use (e.g., PO Boxes, government departments and large companies)
bThe Socio-Economic Indexes for Areas (SEIFA) was developed to capture areas of socio-economic advantage and disadvantage across Australia. Specially, the Index of Relative Advantage and Disadvantage was used to categorise the women based on the postcode they provided. The 1st quartile represents the lowest scoring 25% of areas and the 5th quartile represents the highest scoring 25% of areas