Short and long term exposure to air pollution increases the risk of ischemic heart disease

Kim, So Young; Kim, Sang Hoon; Wee, Jee Hye; Min, Chanyang; Han, Sang-Min; Kim, Seungdo; Choi, Hyo Geun

doi:10.1038/s41598-021-84587-x

Cited by 29 publications

(21 citation statements)

References 40 publications

(45 reference statements)

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“…In 2019, nearly 3 billion people worldwide lean upon polluting fuels with poor ventilation and incomplete combustion for household purposes 9 . It has been documented that particulate air pollution is correlated with a higher risk of IHD hospitalization and death 10–15 . The global, regional, and national burden of IHD attributed to HAP are still unclear over past decades.…”

Section: Introductionmentioning

confidence: 99%

“…9 It has been documented that particulate air pollution is correlated with a higher risk of IHD hospitalization and death. [10][11][12][13][14][15] The global, regional, and national burden of IHD attributed to HAP are still unclear over past decades. Therefore, it is particularly valuable to develop targeted strategies for HAP-related IHD according to its spatial and temporal patterns in reducing the IHD burden.…”

Section: Introductionmentioning

confidence: 99%

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Global magnitude and long‐term trend of ischemic heart disease burden attributed to household air pollution from solid fuels in 204 countries and territories, 1990–2019

et al. 2022

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Understanding the spatiotemporal variation in the household air pollution from solid fuels (HAP)-related ischemic heart disease (IHD) burden on a global scale from 1990 to 2019 is essential to reduce IHD burden, as well as control HAP exposure. Based on the Global Burden of Disease Study 2019, the numbers and age-standardized rates of IHD mortality and disability-adjusted life years (DALYs) (ASMR and ASDR) attributed to HAP were analyzed by sex and age at global, regional, and national levels. The estimated annual percentage change was calculated to evaluate the temporal trend in burden rates. In 2019, IHD attributed to HAP resulted in 511 170 deaths and 13.18 million DALYs globally.The corresponding ASMR and ASDR were higher in males, increased with age peaking at about 80-94 years, and varied greatly across the world. Despite a remarkable decline in HAP-related IHD was achieved across the world over the past decades, an undesirable increase could be observed in some low-income but with high-burden countries. Sustained and comprehensive efforts are needed to control HAP and reduce the IHD burden, especially in countries and territories with a heavy or increasing burden, such as the Solomon Islands,

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Global magnitude and long‐term trend of ischemic heart disease burden attributed to household air pollution from solid fuels in 204 countries and territories, 1990–2019

et al. 2022

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“…Deterioration of air quality has become one of the largest challenges to human development, posing a major threat to the human body and hence significantly enhancing the health consensus of the public: the air quality in the living areas must be beneficial to the human body [1][2][3][4]. Comparing with the atmospheric environment, the significance of protecting the indoor air quality should be highlighted.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Dynamic Monitoring of Indoor Air Quality Based on Laser-Induced Breakdown Spectroscopy and Machine Learning

et al. 2022

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The air quality of the living area influences human health to a certain extent. Therefore, it is particularly important to detect the quality of indoor air. However, traditional detection methods mainly depend on chemical analysis, which has long been criticized for its high time cost. In this research, a rapid air detection method for the indoor environment using laser-induced breakdown spectroscopy (LIBS) and machine learning was proposed. Four common scenes were simulated, including burning carbon, burning incense, spraying perfume and hot shower which often led to indoor air quality changes. Two steps of spectral measurements and algorithm analysis were used in the experiment. Moreover, the proposed method was found to be effective in distinguishing different kinds of aerosols and presenting sensitivity to the air compositions. In this paper, the signal was isolated by the forest, so the singular values were filtered out. Meanwhile, the spectra of different scenarios were analyzed via the principal component analysis (PCA), and the air environment was classified by K-Nearest Neighbor (KNN) algorithm with an accuracy of 99.2%. Moreover, based on the establishment of a high-precision quantitative detection model, a back propagation (BP) neural network was introduced to improve the robustness and accuracy of indoor environment. The results show that by taking this method, the dynamic prediction of elements concentration can be realized, and its recognition accuracy is 96.5%.

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“…The World Health Organization (WHO) report demonstrated that respiratory diseases caused by air pollution in 2019 ranked fourth in the top 10 causes of death worldwide ( (accessed on 15 July 2021)). Numerous studies have verified that short-term or long-term exposure to air pollutants, including PM 2.5 , PM 10 , NO 2 , and SO 2, increased the risks of mortality and morbidity, thereby posing a severe threat to the public health of the residents [ 5 ]. As an important part of the urban ecosystem, in addition to providing residents with green spaces for recreation and entertainment, urban green spaces also improve air quality.…”

Section: Introductionmentioning

confidence: 99%

Does the Spatial Pattern of Plants and Green Space Affect Air Pollutant Concentrations? Evidence from 37 Garden Cities in China

Wang

Guo

Jin

et al. 2022

Plants

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Relevant studies have demonstrated that urban green spaces composed of various types of plants are able to alleviate the morbidity and mortality of respiratory diseases, by reducing air pollution levels. In order to explore the relationship between the spatial pattern of urban green spaces and air pollutant concentrations, this study takes 37 garden cities with subtropical monsoon climate in China as the research object and selects the urban air quality monitoring data and land use type data in 2019 to analyze the relationship between the spatial pattern and the air pollutant concentration through the landscape metrics model and spatial regression model. Moreover, the threshold effect of the impact of green space on air pollutant concentrations is estimated, as well. The results showed that the spatial pattern of urban green space was significantly correlated with the concentrations of PM2.5 (PM with aerodynamic diameters of 2.5 mmor less), NO2 (Nitrogen Dioxide), and SO2 (Sulfur dioxide) pollutants in the air, while the concentrations of PM10 (PM with aerodynamic diameters of 10 mmor less) pollutants were not significantly affected by the green space pattern. Among them, the patch shape index (LSI), patch density (PD) and patch proportion in landscape area (PLAND) of forest land can affect the concentration of PM2.5, NO2, and SO2, respectively. The PLAND, PD, and LSI of grassland and farmland can also have an additional impact on the concentration of SO2 pollutants. The study also found that there was a significant threshold effect within the impact mechanism of urban green space landscape pattern indicators (LSI, PD, PLAND) on the concentrations of PM2.5, NO2, and SO2 air pollutants. The results of this study not only clarified the impact mechanism of the spatial pattern of urban green space on air pollutant concentrations but also provided quantitative reference and scientific basis for the optimization and updating of urban green space to promote public health.

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Short and long term exposure to air pollution increases the risk of ischemic heart disease

Cited by 29 publications

References 40 publications

Global magnitude and long‐term trend of ischemic heart disease burden attributed to household air pollution from solid fuels in 204 countries and territories, 1990–2019

Global magnitude and long‐term trend of ischemic heart disease burden attributed to household air pollution from solid fuels in 204 countries and territories, 1990–2019

Analysis and Dynamic Monitoring of Indoor Air Quality Based on Laser-Induced Breakdown Spectroscopy and Machine Learning

Does the Spatial Pattern of Plants and Green Space Affect Air Pollutant Concentrations? Evidence from 37 Garden Cities in China

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