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. 2019 Apr 8;27(8):1186–1196. doi: 10.1038/s41431-019-0390-9

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