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. 2021 Jan 25;50(3):942–954. doi: 10.1093/ije/dyaa274

Table 4.

Absolute rates and relative risks of all-cause mortality among Aboriginal participants in the 45 and Up Study, by smoking intensity for current-smokers, and by age at cessation for past-smokers, relative to never-smokers

Deaths P-years Crude rate RR1 (95% CI) RR2 (95% CI)
Smoking intensity, in current-smokers (cigarettes/day)a Never-smoker 41 6214 6.60 1 (ref) 1 (ref)
N = 870 1–14 11 810 13.58 2.75 (1.38–5.47) 2.88 (1.43–5.80)
15–24 22 1410 15.61 4.81 (2.76–8.38) 4.55 (2.58–8.02)
≥25 12 757 15.85 4.47 (2.25–8.86) 4.29 (2.15–8.57)
Age at cessation (years), in past-smokers Never-smoker 41 6214 6.60 1 (ref) 1 (ref)
N = 1283 Quit at age ≤44 21 2902 7.24 1.38 (0.80–2.38) 1.48 (0.85–2.57)
Quit at age 45–54 21 1424 14.74 2.28 (1.33–3.90) 2.21 (1.29–3.80)
Current-smoker 48 3078 15.59 4.03 (2.60–6.25) 3.98 (2.56–6.19)

Participants with missing values for smoking intensity or age at smoking cessation were excluded from regression using those variables. Past-smokers who quit smoking at age ≥55 years are excluded from regression using age at cessation. We could not reliably estimate the relation of later smoking cessation (≥55 years) to mortality, given that older smokers are likely to have quit due to illness. However, the vast majority of past-smokers in this cohort quit before age 55 years. The Cox regression models for smoking intensity RR1 and RR2 violated the proportional hazard assumption for the main exposure using the P-value threshold of 0.05. As age is used for the underlying time variable, violations of proportional hazards assumption are likely to be due to interaction with age.

RR1: adjusted for age as the underlying time variable and sex; RR2: additionally adjusted for education and remoteness. Rates are presented per 1000 person-years.

P-years, person-years; RR, relative risk; 95% CI, 95% confidence interval.

a

P-trend for RR2 <0.01 (only tested for smoking intensity). To test for a trend in the relationship between smoking intensity and mortality, the fully adjusted model was re-run with smoking intensity as a continuous variable, with each category recoded to the median smoking intensity within that category.