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. 2017 Jun 14;7(6):e016178. doi: 10.1136/bmjopen-2017-016178

Table 1.

Characteristics of the data sources used in the Australian cancer-PAF cohort consortium

Cohort data Prevalence data
Characteristic MCCS BMES ALSWH AusDiab  NWAHS CHAMP 45&Up Pooled NHS1 NHS2 NHS3 NDSHS LADY
Baseline year(s) 1990–1994 1992–1993 1996 1999–2000 1999–2003 2005–2007 2006–2009 1990–2009 2001 2004–2005 2014–2015 2013 2013
N 41 514 3654 40 310* 11 247 4056 1705† 267 029 367 058‡ 17 918 19 501 14 560 22 696 4428
State/territory VIC NSW All All SA NSW NSW All All All All All All
Age at baseline, mean (range) 55
(27–76)
66
(45–97)
45§
(18–75)
52
(25–95)
50
(18–90)
77
(70–97)
62
(45–≥100)
59
(18–≥100)
45
(18–80)
46
(18–85)
46
(18–85)
46
(18–84)
61
(50–71)
Women (%) 59 57 100 55 51 0 54 59 51 51 51 51 100

*1823 women did not consent for record linkage, leaving 38 487 women for the PAF analysis.

†66 men did not consent for record linkage, leaving 1639 men for the PAF analysis.

‡2457 individuals participated in more than one cohort study and were only included in the first cohort study they participated in, leaving 367 058 individuals in the pooled data. Of these, 1885 did not consent for record linkage, leaving 365 173 individuals for the PAF analysis.

§The ALSWH recruited three cohorts aged 18–23, 45–50 and 70–75 so the age distribution is not continuous.

45&Up, 45 and Up Study; ALSWH, Australian Longitudinal Study on Women's Health; AusDiab, Australian Diabetes, Obesity and Lifestyle Study; BMES, Blue Mountains Eye Study; CHAMP, Concord Health and Ageing in Men Project; LADY, Learning how Australians Deal with menopausal sYmptoms Survey; MCCS, Melbourne Collaborative Cohort Study; NDSHS, National Drug Strategy Household Survey; NHS, National Health Survey; NSW, New South Wales; NWAHS, North West Adelaide Health Study; PAF, population attributable fraction; SA, South Australia; VIC, Victoria.