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Mortality Relative Risks by Smoking, Race/Ethnicity, and Education
Jihyoun Jeon1, Maki Inoue-Choi2, Yoonseo Mok3
1Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
American Journal of Preventive Medicine
|February 12, 2023
Summary
Smoking significantly increases mortality risk, with age-specific risks varying by race, education, and gender. These findings highlight disparities and inform tobacco control interventions.
Area of Science:
- Epidemiology
- Public Health
- Sociomedical Sciences
Background:
- Cigarette smoking's impact on mortality is well-documented for the general population.
- However, age-specific mortality risks across diverse sociodemographic groups in the U.S. remain understudied.
Purpose of the Study:
- To estimate age-specific all-cause mortality relative risks (RRs) for current smokers, recent quitters, and long-term quitters compared to never smokers.
- To analyze these RRs across various sociodemographic factors including age, gender, race/ethnicity, and educational attainment.
Main Methods:
- Utilized the 1987-2018 National Health Interview Survey Linked Mortality Files.
- Employed stratified Cox proportional hazards regression models to estimate RRs.
- Analyzed data stratified by age, gender, race/ethnicity, educational attainment, smoking intensity, and years since quitting.
Main Results:
- All-cause mortality RRs for current smokers/recent quitters were highest among non-Hispanic White individuals, followed by non-Hispanic Black, and lowest for Hispanic individuals.
- RRs varied significantly by educational attainment, with higher education groups showing greater smoking-associated RRs.
- Age-specific RR patterns differed substantially across racial/ethnic, education, and gender groups.
Conclusions:
- Age-specific mortality rates linked to smoking are considerably influenced by sociodemographic factors.
- High-education groups exhibit higher relative risks for current smoking due to lower baseline mortality rates.
- These estimates are crucial for modeling tobacco control interventions and addressing smoking-related health disparities.
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