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Association between the use of electronic cigarettes and myocardial infarction in U.S. adults
Journal
BMC Public Health
ISSN
1471-2458
Date Issued
2024-08-05
Author(s)
María José Farfán Bajaña
Juan Carlos Zevallos
Ivan Chérrez-Ojeda
Geovanny Alvarado
Tiffany Green
Betty Kirimi
Daniel Jaramillo
Miguel Felix
Emanuel Vanegas
Alejandra Farfan
Manuel Cadena-Vargas
Marco Faytong-Haro
Abstract
Background: Compared with conventional cigarettes, electronic cigarettes are less harmful in some studies. However, recent research may indicate the opposite.
This study aimed to determine whether e-cigarette use is related to myocardial health in adults in the U.S. Methods: This study used data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS), a cross-sectional survey of adult US residents aged 18 years or older.
We examined whether e-cigarette use was related to myocardial infarction byapplying a logistic regression model to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Results: The final analytical sample included 198,530 adults in the U.S.
Logistic regression indicated that U.S. adults who reported being former and some days of e-cigarette use had 23% and 52% greater odds of ever having an MI, respectively, than did those who reported never using e-cigarettes (OR = 1.23, 95% CI 1.08–1.40, p = 0.001; OR = 1.52, 95% CI 1.10–2.09, p = 0.010). Conclusions: The results suggest that former and someday users of e-cigarettes probably have increased odds of myocardial infarction in adults in the U.S.
Further research is needed, including long-term follow-up studies on e-cigarettes, since it is still unknown whether they should be discouraged.
This study aimed to determine whether e-cigarette use is related to myocardial health in adults in the U.S. Methods: This study used data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS), a cross-sectional survey of adult US residents aged 18 years or older.
We examined whether e-cigarette use was related to myocardial infarction byapplying a logistic regression model to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Results: The final analytical sample included 198,530 adults in the U.S.
Logistic regression indicated that U.S. adults who reported being former and some days of e-cigarette use had 23% and 52% greater odds of ever having an MI, respectively, than did those who reported never using e-cigarettes (OR = 1.23, 95% CI 1.08–1.40, p = 0.001; OR = 1.52, 95% CI 1.10–2.09, p = 0.010). Conclusions: The results suggest that former and someday users of e-cigarettes probably have increased odds of myocardial infarction in adults in the U.S.
Further research is needed, including long-term follow-up studies on e-cigarettes, since it is still unknown whether they should be discouraged.