Table 6.
2008 smoking status (proportion) |
Past-smoker: sex-combined mortality RR |
Current-smoker: sex-combined RR |
Smoking-attributable fraction (SAF)b |
National smoking-attributable deaths 2009-18b |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Current | Past | Never | RR | LCI | UCI | RR | LCI | UCI | National total deaths 2009-2018a | Estimate (∝=0.90) | Lower bound (∝=0.80) | Upper bound (∝=1.00) | Estimate (∝=0.90) | Lower bound (∝=0.80) | Upper bound (∝=1.00) | |
Males | ||||||||||||||||
45–64 years | 0.462 | 0.338 | 0.201 | 3.62 | 1.53 | 8.55 | 6.92 | 2.98 | 16.04 | 2953 | 70.5 | 62.7 | 78.4 | 2083 | 1851 | 2314 |
65–74 years | 0.262 | 0.520 | 0.218 | 2.53 | 1.18 | 5.45 | 5.51 | 2.36 | 13.15 | 3105 | 59.8 | 53.1 | 66.4 | 1856 | 1650 | 2062 |
≥65 years | 0.120 | 0.721 | 0.159 | 0.95 | 0.50 | 1.78 | 1.97 | 0.83 | 4.66 | 5052 | 7.9 | 7.0 | 8.8 | 400 | 355 | 444 |
Male deaths at age ≥45 years | 11 110 | 54.4 | 48.3 | 60.4 | 6042 | 5371 | 6714 | |||||||||
Male deaths at all ages | 15 890 | 38.0 | 33.8 | 42.3 | 6042 | 5371 | 6714 | |||||||||
Females | ||||||||||||||||
45–64 years | 0.437 | 0.254 | 0.309 | 3.62 | 1.53 | 8.55 | 6.92 | 2.98 | 16.04 | 1993 | 68.8 | 61.2 | 76.5 | 1372 | 1219 | 1524 |
65–74 years | 0.208 | 0.264 | 0.528 | 2.53 | 1.18 | 5.45 | 5.51 | 2.36 | 13.15 | 2484 | 51.6 | 45.8 | 57.3 | 1281 | 1139 | 1423 |
≥65 years | 0.166 | 0.401 | 0.433 | 0.95 | 0.50 | 1.78 | 1.97 | 0.83 | 4.66 | 5738 | 11.1 | 9.9 | 12.4 | 638 | 567 | 709 |
Female deaths at age ≥45 years | 10 215 | 46.0 | 40.8 | 51.1 | 4694 | 4173 | 5216 | |||||||||
Female deaths at all ages | 13 181 | 35.6 | 31.7 | 39.6 | 4694 | 4173 | 5216 | |||||||||
Persons | ||||||||||||||||
Total deaths at age ≥45 years | 21 325 | 50.3 | 44.8 | 55.9 | 10 737 | 9544 | 11 930 | |||||||||
Total deaths at all ages | 29 071 | 36.9 | 32.8 | 41.0 | 10 737 | 9544 | 11 930 |
Current smoking prevalence includes daily and non-daily smokers; the vast majority of current-smokers are daily smokers.
RR, relative risk; LCI, lower confidence interval; UCI, upper confidence interval; SAF, smoking-attributable fraction.
National estimates of annual total deaths by sex were extracted from the Australian Bureau of Statistics’ ABS.Stat [http://stat.data.abs.gov.au/]. Age-group-specific deaths data are only available for five of the eight states/territories in Australia (New South Wales, Queensland, South Australia, Western Australia and the Northern Territory) due to data quality limitations. To estimate national age-sex group deaths, we applied a scale factor (total number of deaths by sex/five state-territory deaths by sex) to the number of deaths in each age-sex group in the five state-territory data. The mortality statistics used may underestimate deaths in this population, due to potential misclassification of Aboriginal and/or Torres Strait Islander deaths as non-Aboriginal, and lags in death registration. It has been estimated that over 2001-15, 13.5% of all male and 13.9% of all female Aboriginal and Torres Strait Islander deaths were misclassified as non-Indigenous deaths.20 Misclassification was particularly common among those aged ≥65 years (19.3% and 17.7%, respectively), but still high among those aged 45–64 years (11.9% and 11.0%, respectively). If this rate of misclassification was consistent over the 2009-18 period, we would have underestimated deaths by 15.0% (missing 3204 deaths ≥45 years) (Table S12).
According to assumptions that 90%, 80% and 100% of excess deaths among smokers are smoking-attributable. We calculated the smoking-attributable fraction (SAF) using the prevalence-based method, for the age groups 45-64, 65–74, and ≥75 years: SAF(%)=100x[Pp(RRp-1)+Pc(RRc-1)]/[Pp(RRp-1)+Pc(RRc-1)+1]. Here, Pp and Pc are the prevalence of past and current smoking, respectively, and RRp and RRc are the RRs for mortality among past- and current-smokers, respectively, compared with never-smokers. The smoking-attributable fraction is calculated using sex-combined RR2 results for participants aged 45–64, 65–74 and ≥75 years, adjusted for age as the underlying time variable, sex, education and remoteness.