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PMID: 19124775 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Forecasting United States mortality using cohort smoking histories.

Wang H, Preston SH

Abstract

In this paper, we introduce a recently established relationship between cohort smoking patterns and adult mortality into mortality projections for the United States. In particular, we incorporate a variable representing the intensity of smoking within a cohort into the original Lee-Carter projection model. The introduction of this variable accounts for important anomalies in the recent age/sex pattern of mortality change and enables the use of a common temporal trend of mortality change for the 2 sexes. We project age-specific mortality rates for men and women at ages 50-84 between 2004 and 2034 in the United States. Because of reductions in smoking that have already occurred or can be reliably projected, mortality is projected to decline much faster when smoking is introduced into the model.

MeSH Terms
Age Factors Aged Aged, 80 and over Cohort Studies Female Forecasting Humans Male Middle Aged Models, Statistical Mortality/trends Sex Factors Smoking/mortality United States
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Wang Haidong
Institute for Health Metrics and Evaluation, University of Washington, Seattle, 2301 5th Avenue, Seattle, WA 98121, USA.
Preston Samuel H
References (6)
6 references, click to expand
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
1091-6490
Published
2009-01-13
Epub
2009-00-05
Pages
393-8
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC2613940
Subset
IM
Grants
NIA NIH HHS · R03 AG031310 · United States
NIA NIH HHS · 1-R03-AG-031310 · United States
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