Effect of apparent temperature on hospitalization from a spectrum of cardiovascular diseases in rural residents in Fujian, China

Zhan, Zhi-Ying; Zhong, Xue; Yang, Jun; Ding, Zan; Xie, Xiaoxu; Zhang, Zheng; Hu, Zhijian

doi:10.1016/j.envpol.2022.119101

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…Then, a total of 62 articles were excluded after a full‐text screening because exposure was not heat/cold effect, the outcomes were not stroke, or information were not useful. Finally, 20 articles were leaved on meta‐analysis (Bai et al., 2018; Ban et al., 2017; Breitner et al., 2014; Chen et al., 2013, 2017; Fu et al., 2018; Goggins et al., 2012; Guo et al., 2017; Hong et al., 2003; Ikefuti et al., 2018; Jiang et al., 2021; Luo et al., 2018; Polcaro‐Pichet et al., 2019; Roye et al., 2019; Schulte et al., 2021; Wang & Lin, 2014; Wang et al., 2015; Xu et al., 2021; Yao et al., 2020; Zhan et al., 2022). The PRISMA flowchart is shown in Figure 1.…”

Section: Resultsmentioning

confidence: 99%

“…First, exposure measurement of studies was from different sources with varied definitions. For example, some studies use apparent temperature, including daily average air temperature, relative humidity, wind speed, and vapor pressure, which is different from ambient temperature (Roye et al., 2019; Zhan et al., 2022). Moreover, there would also be differences between data from ground‐based weather stations and data from satellite space.…”

Section: Discussionmentioning

confidence: 99%

“…Equally important, they did not separately report the effect of temperature changes on the stroke morbidity and mortality, due to a limited number of original studies were included. In addition, there were many new studies published, but the results have been reported inconclusive (Schulte et al., 2021; Zhan et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

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Association between ambient temperature and risk of stroke morbidity and mortality: A systematic review and meta‐analysis

et al. 2023

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Background: Previous studies have suggested that ambient temperature is associated with the morbidity and mortality of stroke although results among these investigations remained unclear. Therefore, the purpose of present meta-analysis was to summarize the evidence of the relationship between ambient temperature and stroke morbidity and mortality.Methods: A systematic search of the PubMed, Embase, and Web of Science databases was from inception to April 13, 2022. The pooled estimates for heat ambient temperature and cold ambient temperature, which were defined as comparison between extreme hot or cold conditions and the reference or threshold temperature, were calculated utilizing a random-effects model. A total of 20 studies were included in the meta-analysis. Results:The pooled estimated show that the heat ambient temperature was significant associated with 10% (relative risk [RR], 1.10; 95% confidence interval [95%CI]:1.02-1.18) and 9% (RR, 1.09; 95%CI: 1.02-1.17) increase in the risk of stroke morbidity and mortality, respectively. In addition, the pooled estimated show that the cold ambient temperature was significant associated with 33% (RR, 1.33; 95%CI: 1.17-1.51) and 18% (RR, 1.18; 95%CI: 1.06-1.31) increase in the risk of stroke morbidity and mortality, respectively. Conclusion:Integrated epidemiological evidence supports the hypothesis that both heat and cold ambient temperature have positive association with the risk of stroke morbidity and mortality. Targeted measures should be promoted in public health to reduce this risk.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Association between ambient temperature and risk of stroke morbidity and mortality: A systematic review and meta‐analysis

et al. 2023

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“…The selected period for records was 6 am to 6 pm. We calculated the U and V wind speeds obtained from ERA5 using the equation 2 √ WS_U 2 + WS_V 2 to obtain the actual wind speed (WS). To explore the effects of urban economic development level and population aggregation on human comfort, we incorporated NASA's Black Marble VNP46A2 Daily Moonlight-adjusted Nighttime Lights (NTL) product into the calculation process [44].…”

Section: Multi-source Data In the Heat Index Calculationmentioning

confidence: 99%

“…With the rapid expansion of urbanized areas, the effects of environmental factors on human health have attracted increasing concern [1]. In the natural environment, the temperature is the main factor that affects human comfort, and temperature changes will result in body temperature adjustment behaviors and heart rate changes that can cause heart-head blood vessel disease [2]. The associated changes in humidity and wind speed [3,4] affect human metabolism, thereby increasing the susceptibility to disease [3,5,6].…”

Section: Introductionmentioning

confidence: 99%

Daily Spatial Distribution of Apparent Temperature Comfort Zone in China Based on Heat Index

2022

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Apparent temperature (AT) is used to evaluate human comfort and is of great importance for studies on the effects of environmental factors on human health. This study used the daytime heat index (HI) calculated by national surface meteorological stations in China as the AT dependent variable, with August 2020 employed as an example. The daytime fifth generation European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis of the global climate (ERA5) data and multi-source data extracted from the stations were used as the independent variables. Due to the presence of multicollinearity among the independent variables, we implemented a multiple stepwise regression model and developed a daily near-surface 1 km HI estimation model. The correlation analysis using the model showed that the coefficient of determination (R2) was 0.89; the mean absolute error (MAE) was 1.49 °C, and the root mean square error (RMSE) was 2.08 °C. We also used 10-fold cross-validation to calculate the error between the parameter and predicted values. The R2 of the model was 0.96; the MAE was 1.80 °C, and the RMSE was 2.40 °C. In this month, the mean daily daytime HI ranged from −7.32 °C to 34.12 °C. According to the Universal Thermal Climate Index (UTCI), the areas with more than 20 days of heat stress for one month were largely distributed in the desert areas of northwest China and the coastal areas in southeast China, accounting for 29.98% of the total land area of China. This study improves the spatial resolution and accuracy of HI prediction, thus providing a scientific reference for studying urban residential environments and the urban heat island effect.

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The effect of ambient temperature and risk of cardiovascular disease hospitalization in China: a meta-analysis

et al. 2023

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Effect of apparent temperature on hospitalization from a spectrum of cardiovascular diseases in rural residents in Fujian, China

Cited by 8 publications

References 36 publications

Association between ambient temperature and risk of stroke morbidity and mortality: A systematic review and meta‐analysis

Association between ambient temperature and risk of stroke morbidity and mortality: A systematic review and meta‐analysis

Daily Spatial Distribution of Apparent Temperature Comfort Zone in China Based on Heat Index

The effect of ambient temperature and risk of cardiovascular disease hospitalization in China: a meta-analysis

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