ArticleAmerican journal of preventive medicine2023
Mortality Relative Risks by Smoking, Race/Ethnicity, and Education.
Article in American journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Smoking Intensity and Mortality Across Age, Sex, and Race/Ethnicity Subgroups in the USA.Journal of racial and ethnic health disparities · 2026Article
- Racial and Ethnic Patterns in Cardiovascular Disease Risk Among Low-Income Adults in West Texas.Journal of racial and ethnic health disparities · 2026Article
- Age Modifies the Association Between Smoking and Carotid Artery Plaque: A Cross-Sectional Study in Non-Diabetic Adults.International journal of general medicine · 2026Article
- SimSmoke simulation models by educational status: past and future US trends and the potential role of policy.Tobacco control · 2025Article
- SimSmoke simulation models distinguished by race/ethnicity: past and future trends and the potential role of policy.Journal of the National Cancer Institute. Monographs · 2025Article
- State and Sociodemographic Trends in US Cigarette Smoking With Future Projections.JAMA network open · 2025Article
- Prevalence of bereavement among current smokers in a state-wide cross-sectional surveillance survey.Tobacco induced diseases · 2025Article
- Development and validation of a nomogram for predicting COPD: A nationwide population-based study in South Korea.Medicine · 2024Article
- Investigating sex, race, and geographic disparities in bronchus and lung cancer mortality in the United States: a comprehensive longitudinal study (1999-2020) utilizing CDC WONDER data.Annals of medicine and surgery (2012) · 2024Review
- Modifiable factors associated with Huntington's disease progression in presymptomatic participants.Annals of clinical and translational neurology · 2024Observational
- Summary and Concluding Remarks: Patterns of Birth Cohort‒Specific Smoking Histories.American journal of preventive medicine · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
introductionThe impact of cigarette smoking on mortality is well studied, with estimates of the relative mortality risks for the overall population widely available. However, age-specific mortality estimates for different sociodemographic groups in the U.S. are lacking.
methodsUsing the 1987-2018 National Health Interview Survey Linked Mortality Files through 2019, all-cause mortality relative risks (RRs) were estimated for current smokers or recent quitters and long-term quitters compared with those for never smokers. Stratified Cox proportional hazards regression models were used to estimate RRs by age, gender, race/ethnicity, and educational attainment. RRs were also assessed for current smokers or recent quitters by smoking intensity and for long-term quitters by years since quitting. The analysis was conducted in 2021-2022.
resultsAll-cause mortality RRs among current smokers or recent quitters were generally highest for non-Hispanic White individuals than for never smokers, followed by non-Hispanic Black individuals, and were lowest for Hispanic individuals. RRs varied greatly by educational attainment; generally, higher-education groups had greater RRs associated with smoking than lower-education groups. Conversely, the RRs by years since quitting among long-term quitters did not show clear differences across race/ethnicity and education groups. Age-specific RR patterns varied greatly across racial/ethnic and education groups as well as by gender.
conclusionsAge-specific all-cause mortality rates associated with smoking vary considerably by sociodemographic factors. Among high-education groups, lower underlying mortality rates for never smokers result in correspondingly high RR estimates for current smoking. These estimates can be incorporated in modeling analyses to assess tobacco control interventions' impact on smoking-related health disparities between different sociodemographic groups.
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