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Smoking History, Age of Smoking and Myocardial Infarction: A Cross-Sectional Analysis of U.S. Adults


Authors : Dr. Shekhar Maan Shrestha; Dr. Ashok Karki; Dr. Rojina Subedi; Dr. Sanjeev Bhandari; Tanuja Magar; Dr. Yogesh Rodge; Dr. Satyam Chavan; Dr. Niranjan Rijal

Volume/Issue : Volume 11 - 2026, Issue 7 - July


Google Scholar : https://tinyurl.com/yk78f99m

Scribd : https://tinyurl.com/4d6jk732

DOI : https://doi.org/10.38124/ijisrt/26jul1201

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Background: Cigarette smoking is a well-established risk factor for myocardial infarction (MI), yet the relationship between the age at which individuals last smoked and MI has been less extensively studied. This study examined the association between smoking history, measured by age last smoked, and self-reported heart attack among U.S. adults.  Methods: A cross-sectional analysis was conducted using the 2024 Behavioral Risk Factor Surveillance System (BRFSS) dataset. Adults with complete data on smoking history and myocardial infarction were included in our study. Poisson regression with robust standard errors was used to estimate adjusted prevalence ratios (PRs), while controlling for demographic, socioeconomic, and clinical covariates. Interaction and stratified analyses were performed to evaluate effect modification by age and sex.

Keywords : Smoking; Myocardial Infarction; Cross-Sectional Studies; BRFSS; Risk Factors

References :

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Background: Cigarette smoking is a well-established risk factor for myocardial infarction (MI), yet the relationship between the age at which individuals last smoked and MI has been less extensively studied. This study examined the association between smoking history, measured by age last smoked, and self-reported heart attack among U.S. adults.  Methods: A cross-sectional analysis was conducted using the 2024 Behavioral Risk Factor Surveillance System (BRFSS) dataset. Adults with complete data on smoking history and myocardial infarction were included in our study. Poisson regression with robust standard errors was used to estimate adjusted prevalence ratios (PRs), while controlling for demographic, socioeconomic, and clinical covariates. Interaction and stratified analyses were performed to evaluate effect modification by age and sex.

Keywords : Smoking; Myocardial Infarction; Cross-Sectional Studies; BRFSS; Risk Factors

Paper Submission Last Date
31 - August - 2026

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