Effects of Extreme Temperatures on Cause-Specific Cardiovascular Mortality in China

Wang, Xuying; Li, Guoxing; Liu, Liqun; Westerdahl, Dane; Jin, Xiaobin; Pan, Xiaochuan

doi:10.3390/ijerph121215042

Cited by 63 publications

(34 citation statements)

References 53 publications

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“…For Northwest, Central North, and Northwest China, the main reason why they have higher warming rate than the South China is that their relatively high latitudes make them receive more positive albedo‐temperature feedback. As for Tibet, melting of the ice and snow cover in the high‐elevation areas under warming climate increases water vapor which traps more heat in the surface, and makes the surface less reflective and adds to the warming effect (Wang et al, , ). It is also apparent that warming in the mean temperature of nights is greater than the mean temperature of days (from 0.3 to 1.5°C).…”

Section: Projections Of Future Temperature and Humiditymentioning

confidence: 99%

“…Their results also showed that warm nights (days) significantly increased at a rate of 8.16 days (5.22 days) over the whole nation for the past 10 years (Ren & Zhou, ). Temperature is one of the most important climate variables with regard to human comfort, and excessively high temperatures account for more fatalities than lightening, floods, tornadoes, and hurricanes do in China (Lin et al, ; Ma et al, ; Wang et al, ). But the effects of high‐temperature extremes can be compounded by other factors, such as the air pollution, intensity of sunlight, strength of wind and humidity.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of Changes in Extreme Temperature and Humidity Over China Through a Dynamical Downscaling Approach

et al. 2017

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Impacts of climate change relating to public health are often determined by multiple climate variables. The health‐related metrics combining high‐temperature and relative humidity are most concerned. Temperatures, relative humidity and relationship among them are investigated here for a comprehensive assessment of climate change impacts over China. A projection of combined temperatures and humidity through the PRECIS model is addressed. The PRECIS model's skill in reproducing the historical climate over China was first gauged through validating its historical simulation with the observation data set in terms of the two contributing variables. With good results of validation, a plausible range of combined temperatures and relative humidity were generated under RCPs. The results suggested that the annual mean temperature of China will increase up to 6°C at the end of 21st century. Opposite to the significantly change in the temperature, the maximum magnitude of changes in relative humidity is only 8% from the value in the baseline period. The dew point temperature is projected to be 14.9°C (within the comfortable interval) over the whole nation under high radiative forcing scenario at the end of this century. Therefore, the combination effects of high temperatures and relative humidity are substantially smaller than generally anticipated for China. Even though the impact‐relevant metric like the dew point temperature is not projected as bad as the generally anticipated, we found that the frequency of high‐temperature extremes increases up to 40% and the duration increases up to 150% in China. China is still expected to have more number of extremely hot days, more frequent high‐temperature extremes, and longer duration of warm spell than before. Regionally, South China has the smallest changes in the mean, maximum and minimum temperatures while the largest increases in all five high‐temperature indices. Consequently, the climate over South China for two future periods will be changing more drastically than the baseline period. Extra cautions need to be given to South China in the future.

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Section: Projections Of Future Temperature and Humiditymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigation of Changes in Extreme Temperature and Humidity Over China Through a Dynamical Downscaling Approach

et al. 2017

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“…There is a relatively large increase on the Tibetan Plateau in terms of the magnitude of warming. In Tibet, the melting of the ice and snow cover in the high elevation areas under a warming climate increases the water vapor that traps more heat on the Earth's surface and makes the surface less reflective and adds to the warming effect (Wang, Li, Liu, et al, ).…”

Section: Assessment Of Climate Change Impacts On Human‐perceived Tempmentioning

confidence: 99%

Assessing Climate Change Impacts on Human‐Perceived Temperature Extremes and Underlying Uncertainties

2019

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It has been suggested that global warming impacts on human thermal comfort will cause an increase in the heat stress and a decrease in the cold stress in the future. A recent study has shown elevated increases in human‐perceived equivalent temperature (HPET) by using a single index for summer and winter seasons (Li et al., 2018, https://doi.org/10.1038/s41558-017-0036-2). However, they have not considered multiple indices with combined effects on deriving HPET, which can result in large uncertainties in assessing climate change impacts on HPET and related extremes. Therefore, we develop a new framework with high‐resolution projections and an ensemble of 10 indices to quantify the impacts of climate change on HPET and related perceived extremes as well as to address uncertainties in both empirical indices and emission scenarios over China. Our findings reveal that different combinations of climatic variables can lead to two opposite conclusions for both normal and extreme conditions. For example, by using indices only considering the combined effect of temperature and relative humidity, China is projected to have an elevated increase in the HPET and in the frequency of high‐temperature extremes. By taking into account wind speed, the country expects to have the HPET even lower than the surface air temperature and an increase in the frequency of low‐temperature extremes. In addition, the resulting range of HPET due to uncertainty in indices is greater than the uncertainty range derived from different emission scenarios for the entire country. Therefore, it is necessary to conduct a comprehensive assessment that explicitly addresses uncertainties in the HPET in order to improve the robustness and reliability of assessing climate change impacts on human‐perceived temperature extremes.

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“…The effect of changing weather conditions on blood pressure has already been published [5][6][7] . The increased mortality rate for cardio-and cerebrovascular patients under extreme weather conditions (extreme cold and heat) is also known 8,9 . Several articles have been published on this subject, although many controversies exist as to whether a correlation is present [10][11][12][13][14][15][16] .…”

Section: Introductionmentioning

confidence: 99%

The Effects of Changing Meteorological Parameters on Fatal Aortic Catastrophes

Szilágyi

Berczeli

Lovas

et al. 2020

Preprint

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Introduction: Over the spam of the last decade, medical research has been increasingly putting greater emphasis on the study of meteorological parameters due to their connection to cardiovascular diseases. The main goal of this study was to explore the relationship between fatal aortic catastrophes and changes in atmospheric pressure and temperature. Methods: We used a Cox process model to quantify the effects of environmental factors on sudden deaths resulting from aortic catastrophes. We used transfer entropy to draw conclusion about the causal connection between mortality and meteorological parameters. Our main tool is a computer program which we developed earlier in order to evaluate the relationship between pulmonary embolism mortality and the weather on data sets comprised of aortic aneurysm (AA) and acute aortic dissection (AAD) cases, where one of these two medical conditions had led to the fatal rupture of the aorta. Our source for these cases were the autopsy databases of Semmelweis University, from the time period of 1994 to 2014. We have examined 160 aneurysm and 130 dissection cases in relation to changes in meteorological parameters. The algorithm implemented in our program is based on a non-parametric a Cox process model. It is capable to split slowly varying unknown global trends from fluctuations potentially caused by weather. Furthermore, it allows us to explore complex non-linear interactions between meteorological parameters and mortality. Results: The model measures the relative growth of the expected number of events on the n th day caused by the deviation of environmental parameters from its mean value. The connection between ruptured aortic aneurysms (rAA) and changes in atmospheric pressure is more significant than their connection with mean daily temperatures. With the increase in atmospheric pressure, the rate of rAA mortality also increased. The effects of meteorological parameters were weaker for deaths resulting from acute aortic dissections (AAD), although low mean daily temperatures increased the intensity of occurrence for AAD-related deaths. Conclusion: The occurrence rate of fatal aortic catastrophes showed a slight dependence on the two examined parameters within our groups.

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Effects of Extreme Temperatures on Cause-Specific Cardiovascular Mortality in China

Cited by 63 publications

References 53 publications

Investigation of Changes in Extreme Temperature and Humidity Over China Through a Dynamical Downscaling Approach

Investigation of Changes in Extreme Temperature and Humidity Over China Through a Dynamical Downscaling Approach

Assessing Climate Change Impacts on Human‐Perceived Temperature Extremes and Underlying Uncertainties

The Effects of Changing Meteorological Parameters on Fatal Aortic Catastrophes

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