Table 1 Characteristics of 45,061 participants included in the analysis.
Characteristicsa | No. of participants | % of all participants |
|---|---|---|
Age at 2020 follow-up (median age: 70 years; interquartile range: 64–76 years) | ||
56–59 years | 3403 | 7.6% |
60–69 | 19,079 | 42.3% |
70–79 | 15,603 | 34.6% |
80+ | 6976 | 15.5% |
Sex | ||
Male | 19,848 | 44.0% |
Female | 25,213 | 56.0% |
Education: highest educational qualification, reported on individual level at cohort recruitmentb | ||
No school certificate or other qualifications/School or intermediate certificate | 10,377 | 23.0% |
Higher school or leaving certificate | 4010 | 8.9% |
Trade/apprenticeship | 3953 | 8.8% |
Certificate/diploma | 10,898 | 24.2% |
University degree or higher | 15,430 | 34.2% |
Unknown/no response | 393 | 0.9% |
Household income: annual pre-tax income, reported on household level ($AUD) | ||
<$30,000 | 9649 | 21.4% |
$30,000–<$50,000 | 7744 | 17.2% |
$50,000–<$90,000 | 11,172 | 24.8% |
$90,000+ | 9605 | 21.3% |
Unknown/Prefer not to answer | 6891 | 15.3% |
Health insurance status | ||
Medicare only (including those with no private health insurance, no healthcare concession card, and no Department of Veterans’ Affairs White or Gold Card) | 5049 | 11.2% |
Healthcare concession card | 6458 | 14.3% |
Department of Veterans’ Affairs healthcare coverage (White or Gold card) | 657 | 1.5% |
Private health insurance (with/without extras) | 32,897 | 73.0% |
Area-based socioeconomic status: quintile of index of relative socioeconomic disadvantage, based on place of residence on area level [11] | ||
Most disadvantaged | 7190 | 16.0% |
Quintile 2 | 8696 | 19.3% |
Quintile 3 | 8282 | 18.4% |
Quintile 4 | 8278 | 18.4% |
Least disadvantaged | 10,447 | 23.2% |
Missing | 2168 | 4.8% |
Accessibility/Remoteness of place of residence: based on place of residence on area level [19] | ||
Major cities | 22,387 | 49.7% |
Inner regional | 16,176 | 35.9% |
Outer regional | 4405 | 9.8% |
Remote/Very Remote | 333 | 0.7% |
Missing | 1760 | 3.9% |
Personal history of invasive cancer diagnosis in 1994–2019: based on NSW Cancer Registry linked datac | ||
Cancer diagnosis | 7916 | 17.6% |
No cancer diagnosis | 37,145 | 82.4% |
Detailed personal history of cancer diagnosis in 1994–2019: based on NSW Cancer Registry linked data, for n = 7916 participants with record of invasive cancer diagnosisc | ||
Breast cancer (ICD-10 code C50) | 1717 | 3.8% |
Colorectal cancer (ICD-10 code C18-20) | 932 | 2.1% |
Lung cancer (ICD-10 code C33-34) | 133 | 0.3% |
Melanoma (ICD-10 code C43) | 1550 | 3.4% |
Prostate cancer (ICD-10 code C61) | 2376 | 5.3% |
Other cancer (ICD-10 code C00-97, excluding C18-20, C33-34, C43, C50, and C61) | 2013 | 4.5% |
Personal history of other health conditions: based on self-report | ||
Cardiovascular disease (incl. heart failure, atrial fibrillation, blood clots, other heart disease and stroke) | 11,497 | 25.5% |
Diabetes (Type 1/Type 2 or unsure) | 4731 | 10.5% |
Family history of cancer: related to mother, father, and/or sibling(s), blood relatives only | ||
Any cancer | 24,182 | 53.7% |
Breast cancer | 6721 | 14.9% |
Colorectal cancer | 7738 | 17.2% |
Lung cancer | 5608 | 12.4% |
Melanoma | 5908 | 13.1% |
Ovarian cancer | 1493 | 3.3% |
Prostate cancer | 6635 | 14.7% |
Family history of non-cancer conditions: related to mother, father, and/or sibling(s), blood relatives only | ||
Heart disease | 23,260 | 51.6% |
Stroke | 13,318 | 29.6% |
Dementia /Alzheimer’s | 12,292 | 27.3% |
Diabetes | 11,151 | 24.7% |
Ever having children: based on number of children ever given birth to/fathered, reported at cohort recruitmentb | ||
Yes (1+ children given birth to/fathered) | 39,176 | 86.9% |
No | 5885 | 13.1% |
