Residential radon in Canada: An uncertainty analysis of population and individual lung cancer risk

被引:28
作者
Brand, KP
Zielinski, JM
Krewski, D
机构
[1] Univ Ottawa, Inst Populat Hlth, McLauglin Ctr Populat Hlth Risk Assessment, Ottawa, ON K1N 6N5, Canada
[2] Univ Ottawa, Sch Management, Ottawa, ON K1N 6N5, Canada
[3] Univ Ottawa, Fac Med, Dept Epidemiol & Community Med, Ottawa, ON K1N 6N5, Canada
[4] Hlth Canada, Biostat & Epidemiol Div, Hlth Environm & Consumer Safety Branch, Ottawa, ON K1A 0L2, Canada
关键词
lifetime relative risk; life-years lost; lung cancer; population attributable risk; radon; uncertainty analysis; variability;
D O I
10.1111/j.1539-6924.2005.00587.x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Following a comprehensive evaluation of the health risks of radon, the U.S. National Research Council (US-NRC) concluded that the radon inside the homes of U.S. residents is an important cause of lung cancer. To assess lung cancer risks associated with radon exposure in Canadian homes, we apply the new (US-NRC) techniques, tailoring assumptions to the Canadian context. A two-dimensional uncertainty analysis is used to provide both population-based (population attributable risk, PAR; excess lifetime risk ratio, ELRR; and life-years lost, LYL) and individual-based (ELRR and LYL) estimates. Our primary results obtained for the Canadian population reveal mean estimates for ELRR, PAR, and LYL are 0.08, 8%, and 0.10 years, respectively. Results are also available and stratified by smoking status (ever versus never). Conveniently, the three indices (ELRR, PAR, and LYL) reveal similar output uncertainty (geometric standard deviation, GSD ≈ 1.3), and in the case of ELRR and LYL, comparable variability and uncertainty combined (GSD ≈ 4.2). Simplifying relationships are identified between ELRR, LYL, PAR, and the age-specific excess rate ratio (ERR), which suggest a way to scale results from one population to another. This insight is applied in scaling our baseline results to obtain gender-specific estimates, as well as in simplifying and illuminating sensitivity analysis.
引用
收藏
页码:253 / 269
页数:17
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