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Impact of Daily Stock Market Volatility on Heart Attack in the United States

Authors

Scarlett Ren

Rubric:Preventive Medicine
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Background: Based on previous research revealing an association between stock volatility and cardiovascular mortality in the Asian population, we hypothesize that a similar correlation exists between stock market volatility and the increased risk of heart attack in the United States (US).

Objective: We aimed to investigate the association between daily stock volatility and population-level heart attack in the US (2005-2022).

Methods: Time-series analysis and generalized linear regression were used to examine the association between the daily volatility of Dow Jones Industrial Average (DJI) and the heart attack prevalence in the community population and the prevalence of coronary artery disease (CAD, including ischemic heart disease and myocardial infarction) in the hospital emergency department (ED) patients.  The community-based data (2005-2022) were from the Behavioral Risk Factor Surveillance System (BRFSS) and the ED-based data (2013-2021) were from the National Hospital Ambulatory Medical Care Survey (NHAMCS).

Results: There were an average of 34 days (range: 0 - 126 days) having a large DJI volatility amplitude (>=2%) annually from 2005 to 2022. Given an increase of 50 days with a large DJI volatility, the prevalence of CAD in ED patients increased by 11.6% in the current year, and the point prevalence of heart attack in the community population decreased by 4.4% in the next year.

Conclusions: The large stock volatility could increase the risk of heart attack in the US population, and bring more CAD patients in ED visits. Consequently, in the community, the surviving patients with heart attack become less shortly afterwards

Keywords

generalized linear regression model
stock market volatility
heart attack
time-series analysis

References:

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