Short-term effect of stock volatility and cardiovascular mortality: a systematic review and meta-analysis

Abstract

Background: Cardiovascular disease (CVD) and stroke are leading causes of death. It has several risk factors, including stress and pressure. Stock volatility can cause acute stress for stockholders so that it can cause CVD events. Recently, the spread of new coronaviruses worldwide has affected economic development greatly, leading to more severe stock market fluctuations, so we systematically quantify the short-term effect of stock volatility and CVD events.Methods: Time-series analysis on the effect of stock volatility and cardiovascular events were concluded.We conducted a systematic literature search for studies published in PubMed, Embase, and Cochrane Data up to the date February 9, 2020. We assessed publication bias using Egger's test. Overall analysis and sensitivity analysis were conducted separately.Results: Four studies were finally included. Every 100-point increase in the stock market will bring about 1.01% increases in cardiovascular mortality [95% confidence intervals (CI), −0.18% to 2.21%]. The metaanalysis showed no statistical significance for cardiovascular mortality. Every 100-point increase in the stock market brought 1.01% increases in the cardiovascular mortality [95% CI, −0.18% to 2.21%]. In terms of stroke events, the estimated effect was 2.999% (95% CI, 0.325% to 5.673%). Different lag patterns also have effects on cardiovascular mortality. Every 100-point increase brought about 4.026% (95% CI, 1.516% to 6.536%) and 4.424% (95% CI, 1.145% to 7.703%) for lag 01 and 04 separately.Conclusions: Though our study has a number of limitations due to the limited studies included, it suggested that stock volatility had a lagging effect on CVD mortality, which may last for several days. Also, it might increase the incidence of stroke.

Exploring the dynamics of triglyceride with stroke onset in the Chinese population through parameterized joint models

“…And we concluded that the longitudinal observation sqrt(TG) had a time lag effect and cumulative effect on the disease outcome. This was unexpected and novel, as other studies had found lagged associations between some climatic factors, environmental factors as well as social factors and stroke onset [39][40][41]. The lag effect of dyslipidemia on stroke needed to be further explored.…”

Exploring the Dynamics of Triglyceride With Stroke Onset in the Chinese Population Through Parameterized Joint Models

“…And we concluded that the longitudinal observation sqrt(TG) had a time lag effect and cumulative effect on the disease outcome. This was unexpected and novel, as other studies had found lagged associations between some climatic factors, environmental factors as well as social factors and stroke onset [31][32][33]. The lag effect of dyslipidemia on stroke needed to be further explored.…”

Stock volatility may trigger the onset of acute coronary syndrome: A nationwide case-crossover analysis

“…However, some earlier studies concluded that the stock volatility had larger effects on elderly population. 34,35 This difference may be due to the different population characteristics and relatively small sample size in prior investigations. Similar to a recent study conducted in China, 10 our study indicated larger effect estimates among females, which might be partly explained by reduced fibrin clot lysability of coronary plaques for women compared with men.…”