Lung cancer mortality among never-smokers in the United States: estimating smoking-attributable mortality with nationally representative data

被引:3
|
作者
Lariscy, Joseph T. [1 ]
Hummer, Robert A. [2 ]
Rogers, Richard G. [3 ]
机构
[1] Univ Memphis, Dept Sociol, 223 Clement Hall, Memphis, TN 38152 USA
[2] Univ N Carolina, Carolina Populat Ctr, Dept Sociol, Chapel Hill, NC 27515 USA
[3] Univ Colorado, Inst Behav Sci, Dept Sociol, Populat Program, Boulder, CO 80309 USA
关键词
Lung cancer; Mortality; Smoking; National Health Interview Survey; United States; CIGARETTE-SMOKING; EDUCATION; TOBACCO; HEALTH;
D O I
10.1016/j.annepidem.2020.03.008
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: Lung cancer mortality among never-smokers is an often overlooked yet important cause of adult mortality. Moreover, indirect approaches for estimating smoking-attributable mortality use neversmoker lung cancer death rates to approximate smoking burden. To date, though, most studies using indirect approaches import rates from the Cancer Prevention Study II (CPS-II), which is not representative of the U.S. population. Methods: We use the nationally representative 1985-2015 National Health Interview Survey-Linked Mortality Files (NHIS-LMF) to calculate lung cancer death rates among never-smokers aged 50 years or older. We then import rates from NHIS-LMF and CPS-II into the Preston-Glei-Wilmoth indirect method to determine whether smoking-attributable fractions differ. Results: Never-smokers account for 16% of U.S. lung cancer deaths among women and 11% among men. Lung cancer death rates among never-smokers are higher in NHIS-LMF than CPS-II for several age groups. Smoking-attributable fractions of mortality are slightly lower with NHIS-LMF rates (19% of male deaths and 16% of female deaths) than with CPS-II rates (21% of male deaths and 17% of female deaths). Conclusions: Fractions based on nonrepresentative CPS-II data may modestly overestimate smoking-attributable mortality. Thus, indirect methods should use never-smoker lung cancer death rates from such nationally representative datasets as NHIS-LMF. (C) 2020 The Author(s). Published by Elsevier Inc.
引用
收藏
页码:5 / 11
页数:7
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