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A Retrospective Study Examining Self-Reported Alcohol Intake Among Adult Patients With Myocardial Infarction
Amruth A Alluri1, Pranesh Ramesh2, Akanksha Gangula3
1Internal Medicine, American University of the Caribbean School of Medicine, Cupecoy, SXM.
Binge drinking was associated with a lower prevalence of myocardial infarction (MI) and coronary heart disease (CHD) in adults. However, these findings require cautious interpretation due to self-reported data and potential confounding factors.
Area of Science:
- Cardiovascular epidemiology
- Public health research
- Alcohol consumption studies
Background:
- Alcohol consumption's link to cardiovascular disease (CVD) is complex, with heavy use increasing risk and moderate use potentially protective.
- The specific impact of binge drinking on myocardial infarction (MI) and coronary heart disease (CHD) requires further clarification for effective public health strategies.
Purpose of the Study:
- To investigate the association between binge drinking and the prevalence of MI or CHD in adults.
- To analyze how this association varies across different demographic and socioeconomic subgroups.
Main Methods:
- Utilized the 2022 Behavioral Risk Factor Surveillance System (BRFSS) dataset for a retrospective analysis.
- Defined binge drinking using CDC criteria and analyzed self-reported MI/CHD as the outcome variable.
- Controlled for age, gender, race, education, and income, employing cross-tabulations and odds ratios (ORs) with 95% confidence intervals (CIs).
Main Results:
- Binge drinkers showed a significantly lower odds ratio (OR=0.432) for MI compared to non-binge drinkers.
- Associations varied by age, with younger adults (18-24) showing increased odds (OR=1.469) and older groups showing decreased odds.
- Lower odds of MI/CHD were observed across genders, races, education levels, and income groups among binge drinkers, though the youngest age group showed higher odds.
Conclusions:
- Binge drinking was associated with lower reported MI/CHD prevalence in this cross-sectional study.
- Findings suggest a complex relationship, but causality cannot be inferred due to self-reported data and potential confounding.
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