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Erschienen in: Demography 5/2018

19.09.2018

Cigarette Smoking and All-Cause and Cause-Specific Adult Mortality in the United States

verfasst von: Joseph T. Lariscy, Robert A. Hummer, Richard G. Rogers

Erschienen in: Demography | Ausgabe 5/2018

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Abstract

This study illuminates the association between cigarette smoking and adult mortality in the contemporary United States. Recent studies have estimated smoking-attributable mortality using indirect approaches or with sample data that are not nationally representative and that lack key confounders. We use the 1990–2011 National Health Interview Survey Linked Mortality Files to estimate relative risks of all-cause and cause-specific mortality for current and former smokers compared with never smokers. We examine causes of death established as attributable to smoking as well as additional causes that appear to be linked to smoking but have not yet been declared by the U.S. Surgeon General to be caused by smoking. Mortality risk is substantially elevated among smokers for established causes and moderately elevated for additional causes. We also decompose the mortality disadvantage among smokers by cause of death and estimate the number of smoking-attributable deaths for the U.S. adult population ages 35+, net of sociodemographic and behavioral confounders. The elevated risks translate to 481,887 excess deaths per year among current and former smokers compared with never smokers, 14 % to 15 % of which are due to the additional causes. The additional causes of death contribute to the health burden of smoking and should be considered in future studies of smoking-attributable mortality. This study demonstrates that smoking-attributable mortality must remain a top population health priority in the United States and makes several contributions to further underscore the human costs of this tragedy that has ravaged American society for more than a century.

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Fußnoten
1
Causes of death are placed into class 3 if “evidence is inadequate to infer the presence or absence of a causal relationship” and class 4 if “evidence is suggestive of no causal relationship” (U.S. DHHS 2014:3). We do not examine class 3 and 4 causes because they are not associated with smoking.
 
2
Naghavi et al. (2010) presented a strategy to redistribute “garbage codes” into meaningful cause-of-death categories. Nonetheless, we include ill-defined conditions and unknown causes in our analyses in order to replicate the causes of death that Carter et al. (2015) identified.
 
3
We exclude from analysis those respondents missing on smoking status (1.1 %); missing on race/ethnicity or identifying with a group other than Hispanic, non-Hispanic black, or non-Hispanic white (3.8 %); or missing on other confounders (<1.2 %).
 
4
We examine time since cessation among former smokers based on reports at baseline.
 
5
BMI and health insurance should be viewed as proximate factors that lie along the causal chain from smoking to mortality. Smoking tends to suppress appetite, and smokers may be less likely to have health insurance because of higher premiums (Berman et al. 2014; Krueger et al. 2004). Similarly, smoking initiation may precede completion of education (Maralani 2014). However, because many of the causes of death we examine have complex etiologies, controlling for proximate factors is necessary to isolate the effects of smoking on cause-specific mortality. Sensitivity analyses show that results are robust to excluding BMI and health insurance from the models.
 
6
Sensitivity analyses include dummy variables for heavy, former, and never drinkers (reference = light/moderate drinkers). Among women, respondents who drink one or fewer drinks per day are coded as light/moderate drinkers, and respondents who drink more than one drink per day are coded as heavy drinkers. Among men, respondents who drink two or fewer drinks per day are coded as light/moderate drinkers, and respondents who drink more than two drinks per day are coded as heavy drinkers.
 
7
In supplemental models, all-cause risk ratios are robust to adjustment for alcohol use (measured only in years 1997 forward); ratios are 2.32 and 2.21 among female and male current smokers, respectively, and 1.41 and 1.32 among female and male former smokers, respectively (p < .001). Net of alcohol use, cirrhosis mortality risk ratios among women are attenuated to nonsignificance: 1.47 (p = .12) among current smokers and 1.03 (p = .90) among former smokers. Corresponding cirrhosis mortality risk ratios among male current smokers and male former smokers are 3.29 (p < .001) and 1.83 (p < .01), respectively.
 
8
Importantly, we observe a graded relationship between smoking intensity and all-cause mortality and most causes of death. Further, for most causes, each category of smoking intensity exhibits significantly higher mortality than never smokers (the referent). Nonetheless, a clear gradient between smoking intensity and mortality risk is not present for every cause of death partly because of small numbers of deaths from some rare causes of death after the data are restricted to current smokers and stratified by smoking intensity.
 
9
The sex-, age-, and cause-specific mortality rates used to calculate the percentage and number of excess deaths attributable to smoking are available in Tables S3–S8 of the online appendix.
 
10
Calculations that adjust for age but no other confounders increase the number of excess deaths due to smoking by approximately 37,000 deaths to a total of 518,804 excess deaths (319,443 among men and 199,361 among women).
 
11
Table 6 and Fig. 1 present smoking-attributable deaths in 10-year age intervals; deaths within five-year intervals (available from the first author) are used to estimate deaths at ages 35–49 years.
 
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Metadaten
Titel
Cigarette Smoking and All-Cause and Cause-Specific Adult Mortality in the United States
verfasst von
Joseph T. Lariscy
Robert A. Hummer
Richard G. Rogers
Publikationsdatum
19.09.2018
Verlag
Springer US
Erschienen in
Demography / Ausgabe 5/2018
Print ISSN: 0070-3370
Elektronische ISSN: 1533-7790
DOI
https://doi.org/10.1007/s13524-018-0707-2

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