36 research outputs found
Additional file 1 of Multilayer factors associated with excess all-cause mortality during the omicron and non-omicron waves of the COVID-19 pandemic: time series analysis in 29 countries
Supplementary Material
Large Daily Stock Variation Is Associated with Cardiovascular Mortality in Two Cities of Guangdong, China
<div><p>Objective</p><p>The current study aimed to examine the effects of daily change of the Shenzhen Stock Exchange Index on cardiovascular mortality in Guangzhou and Taishan, China.</p><p>Methods</p><p>Daily mortality and stock performance data during 2006–2010 were collected to construct the time series for the two cities. A distributed lag non-linear model was utilized to examine the effect of daily stock index changes on cardiovascular mortality after controlling for potential confounding factors.</p><p>Results</p><p>We observed a delayed non-linear effect of the stock index change on cardiovascular mortality: both rising and declining of the stock index were associated with increased cardiovascular deaths. In Guangzhou, the 15–25 lag days cumulative relative risk of an 800 index drop was 2.08 (95% CI: 1.38–3.14), and 2.38 (95% CI: 1.31–4.31) for an 800 stock index increase on the cardiovascular mortality, respectively. In Taishan, the cumulative relative risk over 15–25 days lag was 1.65 (95% CI: 1.13–2.42) for an 800 index drop and 2.08 (95% CI: 1.26–3.42) for an 800 index rising, respectively.</p><p>Conclusions</p><p>Large ups and downs in daily stock index might be important predictor of cardiovascular mortality.</p></div
"L’œil à la page". Communication portant sur les usages pédagogiques des archives d’enquête
International audienc
Summary statistics of daily weather conditions, air pollutants and mortality in Guangzhou and Taishan, China.
<p>Summary statistics of daily weather conditions, air pollutants and mortality in Guangzhou and Taishan, China.</p
Location of the study area in Guangdong Province, China.
<p>Location of the study area in Guangdong Province, China.</p
Relative risk (RR) and 95% confidence intervals (CI) for different causes of mortality for extremely temperature changes (1%, 5%, 95% and 99% percentiles) at different lag days in Taishan.
<p>The bold means statistically significant (p<0.05).</p
The cumulative effect of temperature changes over past 5 days on all cause mortality.
<p>The cumulative effect of temperature changes over past 5 days on all cause mortality.</p
Performance of the Shenzhen Stock Exchange Index, 2006–2010.
<p>Performance of the Shenzhen Stock Exchange Index, 2006–2010.</p
Relative risk (RR) and 95% confidence intervals (CI) for different causes of mortality for extremely temperature changes (1%, 5%, 95% and 99% percentiles) at different lag days in Guangzhou.
<p>The bold means statistically significant (p<0.05).</p
Sex-specific relative risk (RR) and 95% confidence intervals (CI) for total non-accidental mortality for extremely temperature changes (1%, 5%, 95% and 99% percentiles) at different lag days in Guangzhou and Taishan.
<p>The bold means statistically significant (p<0.05).</p