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中国人群中的股票波动性与中风死亡率。

Stock volatility and stroke mortality in a Chinese population.

机构信息

Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China.

出版信息

J Cardiovasc Med (Hagerstown). 2013 Sep;14(9):617-21. doi: 10.2459/JCM.0b013e32835ec51f.

Abstract

AIM

This work was done to study the relationship between stock volatility and stroke mortality in Shanghai, China.

METHODS

Daily stroke death numbers and stock performance data from 1 January 2006 to 31 December 2008 in Shanghai were collected from the Shanghai Center for Disease Control and Prevention and Shanghai Stock Exchange (SSE), respectively. Data were analysed with overdispersed generalized linear Poisson models, controlling for long-term and seasonal trends of stroke mortality and weather conditions with natural smooth functions, as well as Index closing value, air pollution levels and day of the week.

RESULTS

We observed a U-shaped relationship between the Index change and stroke deaths: both rising and falling of the Index were associated with more deaths, and the fewest deaths coincided with little or no change of the Index. We also examined the absolute daily change of the Index in relation to stroke deaths: each 100-point Index change corresponded to 3.22% [95% confidence interval (CI) 0.45-5.49] increase of stroke deaths.

CONCLUSION

We found that stroke deaths fluctuated with daily stock changes in Shanghai, suggesting that stock volatility may adversely affect cerebrovascular health.

摘要

目的

本研究旨在探讨中国上海股票波动与卒中死亡率之间的关系。

方法

本研究收集了 2006 年 1 月 1 日至 2008 年 12 月 31 日期间上海市疾病预防控制中心和上海证券交易所(SSE)的每日卒中死亡人数和股票表现数据。采用过度分散广义线性泊松模型进行数据分析,通过自然平滑函数控制卒中死亡率的长期和季节性趋势以及天气条件,同时还控制了指数收盘价、空气污染水平和星期几。

结果

我们观察到指数变化与卒中死亡之间呈 U 型关系:指数的上升和下降都与更多的死亡有关,而指数几乎没有变化或变化最小的情况下,死亡人数最少。我们还研究了指数的绝对日变化与卒中死亡之间的关系:指数每变化 100 点,卒中死亡人数就会增加 3.22%(95%置信区间为 0.45-5.49)。

结论

本研究发现上海的卒中死亡随每日股票波动而波动,表明股票波动可能对脑血管健康产生不利影响。

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