scholarly journals Short-Term Effect of Ambient Temperature and the Risk of Stroke: A Systematic Review and Meta-Analysis

2015 ◽  
Vol 12 (8) ◽  
pp. 9068-9088 ◽  
Author(s):  
Hui Lian ◽  
Yanping Ruan ◽  
Ruijuan Liang ◽  
Xiaole Liu ◽  
Zhongjie Fan
2020 ◽  
Author(s):  
Hui Lian ◽  
Xin Ding ◽  
Hongmin Zhang ◽  
Xiaoting Wang

Abstract INTRODUCTION: Cardiovascular diseases (CVD) and stroke are leading causes of death. It has several risk factors including stress and pressure. Stock volatility can cause acute stress for stock holders, so it can cause CVD events. Recently the spread of new coronaviruses worldwide has greatly affected economic development, leading to more severe stock market fluctuation, so we systematically quantify the short-term effect of stock volatility and CVD events.METHODS AND MATERIALS: Time-series analysis on effect of stock volatility and cardiovascular events were included. We conducted systematic review and meta-analysis. 4 studies were included in the final analysis.RESULTS: Every 100-point increase in the stock market will bring about 1.01% increases in the cardiovascular mortality (95% CI, -0.18% to 2.21%) The meta-analysis showed no statistical significance for cardiovascular mortality. In terms of stroke event, the estimate effect was 2.999% (95%CI, 0.325% to 5.673%). Different lag patterns also had 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: Our study suggested that stock volatility had lag effect on CVD mortality. It may last for several days. Also, it might increase the incidence of stroke.


Author(s):  
Zhihui Liu ◽  
Yongna Meng ◽  
Hao Xiang ◽  
Yuanan Lu ◽  
Suyang Liu

(1) Background: Inconsistencies were observed in studies on the relationship between short-term exposure to meteorological factors and the risk of hand, foot, and mouth disease (HFMD). This systematic review and meta-analysis was aimed to assess the overall effects of meteorological factors on the incidence of HFMD to help clarify these inconsistencies and serve as a piece of evidence for policy makers to determine relevant risk factors. (2) Methods: Articles published as of 24 October 2020, were searched in the four databases, namely, PubMed, Web of Science, Embase, and MEDLINE. We applied a meta-analysis to assess the impact of ambient temperature, relative humidity, rainfall, wind speed, and sunshine duration on the incidence of HFMD. We conducted subgroup analyses by exposure metrics, exposure time resolution, regional climate, national income level, gender, and age as a way to seek the source of heterogeneity. (3) Results: Screening by the given inclusion and exclusion criteria, a total of 28 studies were included in the analysis. We observed that the incidence of HFMD based on the single-day lag model is significantly associated with ambient temperature, relative humidity, rainfall, and wind speed. In the cumulative lag model, ambient temperature and relative humidity significantly increased the incidence of HFMD as well. Subgroup analysis showed that extremely high temperature and relative humidity significantly increased the risk of HFMD. Temperate regions, high-income countries, and children under five years old are major risk factors for HFMD. (4) Conclusions: Our results suggest that various meteorological factors can increase the incidence of HFMD. Therefore, the general public, especially susceptible populations, should pay close attention to weather changes and take protective measures in advance.


2017 ◽  
Vol 2 (3) ◽  
pp. 18
Author(s):  
Tiantian Li ◽  
Dandan Xu ◽  
Fangchao Liu ◽  
Jie Ban ◽  
Yi Zhang

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