title: Impact of future cigarette smoking scenarios on mortality of the adult population in the United States, 2000-2050.
abstract: The prevalence of cigarette smoking in the United States has declined over the past few decades. However, some leveling-off in prevalence rates has been observed in recent years, and the rate for teenagers and young adults has even turned upward. This paper considers four alternative scenarios of future cigarette smoking patterns in the United States for the population 25 and over and measures the impact these different scenarios would have on excess mortality due to smoking and on the sex and age distributions of deaths. Scenarios reflecting higher levels of smoking prevalence produce considerably more deaths than scenarios tied to lower levels. As many as two and one-half million excess deaths would take place in the decade of the 2020's if a high prevalence, rather than low prevalence, assumption proves correct. Even when a constant prevalence, assumption proves correct. Even when a constant prevalence assumption is compared with a moderately-declining prevalence assumption, as many as one million excess deaths would be generated during that decade alone. Lowering smoking prevalence rates would also change the population sex ratio by reducing deaths for males more than deaths for females, and by contributing to the aging of the population. The results are interpreted in terms of the overall impact of smoking on mortality and with regard to public and private policy decisions related to cigarette smoking.
authors.affiliation: Center for the Study of Population, Florida State University, Tallahassee 32306, USA.
authors.forename: C B
authors.initials: CB
authors.lastname: Nam
authors.forename: R G
authors.initials: RG
authors.lastname: Rogers
authors.forename: R A
authors.initials: RA
authors.lastname: Hummer
authors.forename: R G
authors.initials: RG
authors.lastname: Roger
mesh_terms: D000328:Adult; D002423:Cause of Death; D005260:Female; D005544:Forecasting; D019456:Health Transition; D006801:Humans; D008297:Male; D015233:Models, Statistical; D012907:Smoking / Q000453:epidemiology / Q000401:mortality*; D014481:United States / Q000453:epidemiology