Volume 46 - Article 31 | Pages 905–918
The contribution of smoking-attributable mortality to differences in mortality and life expectancy among US African-American and white adults, 2000–2019
|Date received:||29 Jul 2021|
|Date published:||12 May 2022|
|Keywords:||African Americans, disparities, life expectancy, mortality, smoking|
|Additional files:||Supplementary Material - Data and Calculations (Excel file, 199 kB)|
|Supplementary Material - Life Tables (Excel file, 247 kB)|
Background: The role of smoking in racial disparities in mortality and life expectancy in the United States has been examined previously, but up-to-date estimates are generally unavailable, even though smoking prevalence has declined in recent decades.
Objective: We estimate the contribution of smoking-attributable mortality to observed differences in mortality and life expectancy for US African-American and white adults from 2000–2019.
Methods: The indirect Preston–Glei–Wilmoth method was used with national vital statistics and population data and nationally representative never-smoker lung cancer death rates to estimate the smoking-attributable fraction (SAF) of deaths in the United States by sex-race group from 2000–2019. Mortality rates without smoking-attributable mortality were used to estimate life expectancy at age 50 (e_50) by group during the period.
Results: African-American men had the highest estimated SAF during the period, beginning at 26.4% (95% CI:25.0%–27.8%) in 2000 and ending at 12.1% (95% CI:11.4%–12.8%) in 2019. The proportion of the difference in e_50 for white and African-American men that was due to smoking decreased from 27.7% to 14.8%. For African-American and white women, the estimated differences in e_50 without smoking-attributable mortality were similar to observed differences.
Conclusions: Smoking continues to contribute to racial disparities in mortality and life expectancy among men in the United States.
Contribution: We present updated estimates of the contribution of smoking to mortality differences in the United States using nationally representative data sources.
Brian L. Rostron - US Food and Drug Administration, United States of America
Cindy M. Chang - US Food and Drug Administration, United States of America
Brittny C. Davis Lynn - US Food and Drug Administration, United States of America
Chunfeng Ren - US Food and Drug Administration, United States of America
Esther Salazar - US Food and Drug Administration, United States of America
Bridget K. Ambrose - US Food and Drug Administration, United States of America
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