1
|
Mo H, Wang S. Assessing the spatiotemporal evolution and socioeconomic determinants of PM 2.5-related premature deaths in China from 2000 to 2021. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174323. [PMID: 38955281 DOI: 10.1016/j.scitotenv.2024.174323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 06/12/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024]
Abstract
China's swift socioeconomic development has led to extremely severe ambient PM2.5 levels, the associated negative health outcomes of which include premature death. However, a comprehensive explanation of the socioeconomic mechanism contributing to PM2.5-related premature deaths has not yet to be fully elucidated through long-term spatial panel data. Here, we employed a global exposure mortality model (GEMM) and the system generalized method of moments (Sys-GMM) to examine the primary determinants contributing to premature deaths in Chinese provinces from 2000 to 2021. We found that in the research period, premature deaths in China increased by 46 %, reaching 1.87 million, a figure that decreased somewhat after the COVID-19 outbreak. 62 thousand premature deaths were avoided in 2020 and 2021 compared to 2019, primarily due to the decline in PM2.5 concentrations. Premature deaths have increased across all provinces, particularly in North China, and a discernible spatial agglomeration effect was observed, highlighting effects on nearby provinces. The findings also underscored the significance of determinants such as urbanization, import and export trade, and energy consumption in exacerbating premature deaths, while energy intensity exerted a mitigating influence. Importantly, a U-shaped relationship between premature deaths and economic development was unveiled for the first time, implying the need for vigilance regarding potential health impact deterioration and the implementation of countermeasures as the per capita GDP increases in China. Our findings deserve attention from policymakers as they shed fresh insights into atmospheric control and Health China action.
Collapse
Affiliation(s)
- Huibin Mo
- Shenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration, Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Shaojian Wang
- School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China.
| |
Collapse
|
2
|
Shams SR, Choi Y, Singh D, Ghahremanloo M, Momeni M, Park J. Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174158. [PMID: 38909816 DOI: 10.1016/j.scitotenv.2024.174158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 05/28/2024] [Accepted: 06/18/2024] [Indexed: 06/25/2024]
Abstract
Short-term exposure to ground-level ozone (O3) poses significant health risks, particularly respiratory and cardiovascular diseases, and mortality. This study addresses the pressing need for accurate O3 forecasting to mitigate these risks, focusing on South Korea. We introduce Deep Bias Correction (Deep-BC), a novel framework leveraging Convolutional Neural Networks (CNNs), to refine hourly O3 forecasts from the Community Multiscale Air Quality (CMAQ) model. Our approach involves training Deep-BC using data from 2016 to 2019, including CMAQ's 72-hour O3 forecasts, 31 meteorological variables from the Weather Research and Forecasting (WRF) model, and previous days' station measurements of 6 air pollutants. Deep-BC significantly outperforms CMAQ in 2021, reducing biases in O3 forecasts. Furthermore, we utilize Deep-BC's daily maximum 8-hour average O3 (MDA8 O3) forecasts as input for the AirQ+ model to assess O3's potential impact on mortality across seven major provinces of South Korea: Seoul, Busan, Daegu, Incheon, Daejeon, Ulsan, and Sejong. Short-term O3 exposure is associated with 0.40 % to 0.48 % of natural cause and respiratory deaths and 0.67 % to 0.81 % of cardiovascular deaths. Gender-specific analysis reveals higher mortality rates among men, particularly from respiratory causes. Our findings underscore the critical need for region-specific interventions to address air pollution's detrimental effects on public health in South Korea. By providing improved O3 predictions and quantifying its impact on mortality, this research offers valuable insights for formulating targeted strategies to mitigate air pollution's adverse effects. Moreover, we highlight the urgency of proactive measures in health policies, emphasizing the significance of accurate forecasting and effective interventions to safeguard public health from the deleterious effects of air pollution.
Collapse
Affiliation(s)
- Seyedeh Reyhaneh Shams
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA
| | - Yunsoo Choi
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA.
| | - Deveshwar Singh
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA
| | - Masoud Ghahremanloo
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA
| | - Mahmoudreza Momeni
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA
| | - Jincheol Park
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA
| |
Collapse
|
3
|
Kiihamäki SP, Korhonen M, Kukkonen J, Shiue I, Jaakkola JJK. Effects of ambient air pollution from shipping on mortality: A systematic review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:173714. [PMID: 38857797 DOI: 10.1016/j.scitotenv.2024.173714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/28/2024] [Accepted: 05/31/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Shipping contributes to air pollution causing adverse health effects. We conducted for the first time a systematic review on the health and economic impacts of ambient air pollution from shipping emissions. METHODS We performed a systematic search in PubMed, Web of Science, EBSCO (Medline), and Scopus of all time up to December 2023. We then inter-compared semi-quantitatively the results of the included eligible studies. RESULTS We identified 23 eligible studies, 22 applying health impact assessment, and 1 using epidemiological methods. These studies used different methods for the evaluation of emissions, dispersion, and exposure, and for the exposure-mortality risk functions for exposure to shipping emissions for 1-2 years. The estimated excess global all-cause mortality from six studies ranged between 1 and 5 deaths per 100,000 person-years. However, the heterogeneity of the methods and critical gaps in the reporting seriously limited the synthesis of the evidence on health and economic effects of shipping emissions. Sufficient spatial and temporal resolutions in both dispersion and exposure modeling, as well as presentation of uncertainties is needed. Health impact assessment should present the results with all the main risk functions and population attributable risks, and the magnitude of the effect should be expressed in excess number per a given person-time or per population size. Economic effects should also cover work productivity, mental well-being, and cognitive functions. CONCLUSIONS We recommend that future studies should properly evaluate and report the uncertainty ranges and the confidence limits of the results. Rigorous studies are needed on multipollutant exposures, exposures from various source categories, and exposures attributed to various particulate matter measures. Studies should report the health impact measures in a format that facilitates straightforward inter-study comparisons. Further research should also specifically report the used grid spacings and resolutions and evaluate whether these are optimal for the task.
Collapse
Affiliation(s)
- Simo-Pekka Kiihamäki
- Center for Environmental and Respiratory Health Research, Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | | | - Jaakko Kukkonen
- Finnish Meteorological Institute, Helsinki, Finland; Centre for Climate Change Research (C3R), University of Hertfordshire, United Kingdom
| | - Ivy Shiue
- Center for Environmental and Respiratory Health Research, Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland; Oulu Business School, University of Oulu. Oulu, Finland
| | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research, Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland; Finnish Meteorological Institute, Helsinki, Finland.
| |
Collapse
|
4
|
Dyer GMC, Khomenko S, Adlakha D, Anenberg S, Behnisch M, Boeing G, Esperon-Rodriguez M, Gasparrini A, Khreis H, Kondo MC, Masselot P, McDonald RI, Montana F, Mitchell R, Mueller N, Nawaz MO, Pisoni E, Prieto-Curiel R, Rezaei N, Taubenböck H, Tonne C, Velázquez-Cortés D, Nieuwenhuijsen M. Exploring the nexus of urban form, transport, environment and health in large-scale urban studies: A state-of-the-art scoping review. ENVIRONMENTAL RESEARCH 2024; 257:119324. [PMID: 38844028 DOI: 10.1016/j.envres.2024.119324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 05/30/2024] [Accepted: 05/31/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND As the world becomes increasingly urbanised, there is recognition that public and planetary health relies upon a ubiquitous transition to sustainable cities. Disentanglement of the complex pathways of urban design, environmental exposures, and health, and the magnitude of these associations, remains a challenge. A state-of-the-art account of large-scale urban health studies is required to shape future research priorities and equity- and evidence-informed policies. OBJECTIVES The purpose of this review was to synthesise evidence from large-scale urban studies focused on the interaction between urban form, transport, environmental exposures, and health. This review sought to determine common methodologies applied, limitations, and future opportunities for improved research practice. METHODS Based on a literature search, 2958 articles were reviewed that covered three themes of: urban form; urban environmental health; and urban indicators. Studies were prioritised for inclusion that analysed at least 90 cities to ensure broad geographic representation and generalisability. Of the initially identified studies, following expert consultation and exclusion criteria, 66 were included. RESULTS The complexity of the urban ecosystem on health was evidenced from the context dependent effects of urban form variables on environmental exposures and health. Compact city designs were generally advantageous for reducing harmful environmental exposure and promoting health, with some exceptions. Methodological heterogeneity was indicative of key urban research challenges; notable limitations included exposure and health data at varied spatial scales and resolutions, limited availability of local-level sociodemographic data, and the lack of consensus on robust methodologies that encompass best research practice. CONCLUSION Future urban environmental health research for evidence-informed urban planning and policies requires a multi-faceted approach. Advances in geospatial and AI-driven techniques and urban indicators offer promising developments; however, there remains a wider call for increased data availability at local-levels, transparent and robust methodologies of large-scale urban studies, and greater exploration of urban health vulnerabilities and inequities.
Collapse
Affiliation(s)
- Georgia M C Dyer
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Sasha Khomenko
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Deepti Adlakha
- Delft University of Technology, Mekelweg 5, 2628, Delft, Netherlands
| | - Susan Anenberg
- Environmental and Occupational Health Department, George Washington University, Milken Institute School of Public Health, 20052, New Hampshire Avenue, Washington, District of Colombia, United States
| | - Martin Behnisch
- Leibniz Institute of Ecological Urban and Regional Development, Weberpl 1, 01217, Dresden, Germany
| | - Geoff Boeing
- University of Southern California, 90007, Los Angeles, United States
| | - Manuel Esperon-Rodriguez
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia; School of Science, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Antonio Gasparrini
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, WC1E 7HT, London, United Kingdom
| | - Haneen Khreis
- MRC Epidemiology Unit, Cambridge University, CB2 0AH, Cambridge, United Kingdom
| | - Michelle C Kondo
- USDA-Forest Service, Northern Research Station, 100 North 20th Street, Ste 205, 19103, Philadelphia, PA, United States
| | - Pierre Masselot
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, WC1E 7HT, London, United Kingdom
| | - Robert I McDonald
- The Nature Conservancy, 4245 North Fairfax Drive Arlington, 22203, Virginia, United States
| | - Federica Montana
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Rich Mitchell
- Institute of Health and Wellbeing, University of Glasgow, 90 Byres Road, Glasgow, G20 0TY, United Kingdom
| | - Natalie Mueller
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - M Omar Nawaz
- Environmental and Occupational Health Department, George Washington University, Milken Institute School of Public Health, 20052, New Hampshire Avenue, Washington, District of Colombia, United States
| | - Enrico Pisoni
- European Commission, Joint Research Centre (JRC), 2749, Ispra, Italy
| | | | - Nazanin Rezaei
- University of California Santa Cruz, 1156 High Street, 95064, California, United States
| | - Hannes Taubenböck
- German Aerospace Centre (DLR), Earth Observation Center (EOC), 82234, Oberpfaffenhofen, Germany; Institute for Geography and Geology, Julius-Maximilians-Universität Würzburg, 97074, Würzburg, Germany
| | - Cathryn Tonne
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Daniel Velázquez-Cortés
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fern'andez Almagro, 3-5, 28029, Madrid, Spain.
| |
Collapse
|
5
|
Kazim M, Syed JH, Saqib Z, Kurt-Karakus PB, Iqbal M, Nasir J, Akcetin MO, Akram S, Birgul A, Kara M, Dumanoglu Y, Barq MG, Amin FR, Harner T, Jones KC, Zhang G, Odabasi M. Informal E -waste recycling in nine cities of Pakistan reveals significant impacts on local air and soil quality and associated health risks. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 355:124259. [PMID: 38810680 DOI: 10.1016/j.envpol.2024.124259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/19/2024] [Accepted: 05/27/2024] [Indexed: 05/31/2024]
Abstract
The global increase in electronic waste (e-waste) has led to a rise in informal recycling, emitting hazardous heavy metals (HMs) that threaten human health and ecosystems. This study presents the first comprehensive assessment of HM levels in dry deposition and soils at proximity of forty (40) informal e-waste recycling sites across Pakistan, between September 2020 to December 2021. Findings reveal that Zn (1410), Pb (410) and Mn (231) exhibited the higher mean deposition fluxes (μg/m2.day), derived from air samples, particularly in Karachi. Similarly, soils showed higher mean concentrations (μg/g dw) of Mn (477), Cu (514) and Pb (172) in Faisalabad, Lahore, and Karachi, respectively. HMs concentrations were found higher in winter or autumn and lower in summer. In addition, HM levels were significantly (p = 0.05) higher at recycling sites compared to background sites year-round, highlighting the e-waste recycling operations as the major source of their emissions. The Igeo index indicated moderate to extremely contaminated levels of Cu, Pb, Cd, and Ni in Karachi, Lahore and Gujranwala. Ingestion was found as a leading human exposure route, followed by dermal and inhalation exposure, with Pb posing the greatest health risk. The Cumulative Incremental Lifetime Cancer Risk (ILCR) model suggested moderate to low cancer risks for workers. Strategic interventions recommend mitigating health and environmental risks, prioritizing human health and ecosystem integrity in Pakistan's e-waste management.
Collapse
Affiliation(s)
- Mureed Kazim
- Department of Environmental Sciences, International Islamic University Islamabad, Pakistan
| | - Jabir Hussain Syed
- Department of Meteorology, COMSATS University Islamabad, Tarlai Kalan Park Road, 45550, Islamabad, Pakistan.
| | - Zafeer Saqib
- Department of Environmental Sciences, International Islamic University Islamabad, Pakistan
| | - Perihan Binnur Kurt-Karakus
- Environmental Engineering Department, Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa, Turkey.
| | - Mehreen Iqbal
- UFZ, Helmholtz Centre for Environmental Research, Department of Ecological Chemistry, Permoserstrasse 15, 04318, Leipzig, Germany; Institute of Organic Chemistry, Technical University Bergakademie Freiberg Leipziger, Strasse 29, 09596, Freiberg, Germany
| | - Jawad Nasir
- Pakistan Space and Upper Atmosphere Research Commission (SUPARC), P.O. Box 8402, Karachi, 75270, Pakistan
| | - Merve Ozkaleli Akcetin
- Environmental Engineering Department, Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa, Turkey
| | - Sumaira Akram
- Department of Earth & Environmental Sciences, Bahria University Islmabad Campus, Pakistan; Department of Environmental Sciences, Forman Christian College University, Lahore, Pakistan
| | - Askin Birgul
- Environmental Engineering Department, Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa, Turkey
| | - Melik Kara
- Environmental Engineering Department, Faculty of Engineering, Dokuz Eylul University, Izmir, Turkey
| | - Yetkin Dumanoglu
- Environmental Engineering Department, Faculty of Engineering, Dokuz Eylul University, Izmir, Turkey
| | - Mohsin Gulzar Barq
- Department of Microbiology, University of Central Punjab, Johar Town, Lahore, Pakistan
| | - Farrukh Raza Amin
- Department of Chemistry, COMSATS University Islamabad, Tarlai Kalan Park Road, 45550, Islamabad, Pakistan
| | - Tom Harner
- Air Quality Processes Research Section, Environment and Climate Change Canada, Toronto, Canada
| | - Kevin C Jones
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, 510640, Chinese Academy of Sciences, Guangzhou, China
| | - Mustafa Odabasi
- Department of Environmental Sciences, Forman Christian College University, Lahore, Pakistan
| |
Collapse
|
6
|
Zhang D, Liu X, Sun L, Li D, Du J, Yang H, Yu D, Li C. Fine particulate matter disrupts bile acid homeostasis in hepatocytes via binding to and activating farnesoid X receptor. Toxicology 2024; 506:153850. [PMID: 38821196 DOI: 10.1016/j.tox.2024.153850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 05/20/2024] [Accepted: 05/28/2024] [Indexed: 06/02/2024]
Abstract
Fine particulate matter (PM2.5)-induced metabolic disorders have attracted increasing attention, however, the underlying molecular mechanism of PM2.5-induced hepatic bile acid disorder remains unclear. In this study, we investigated the effects of PM2.5 components on the disruption of bile acid in hepatocytes through farnesoid X receptor (FXR) pathway. The receptor binding assays showed that PM2.5 extracts bound to FXR directly, with half inhibitory concentration (IC50) value of 21.7 μg/mL. PM2.5 extracts significantly promoted FXR-mediated transcriptional activity at 12.5 μg/mL. In mouse primary hepatocytes, we found PM2.5 extracts (100 μg/mL) significantly decreased the total bile acid levels, inhibited the expression of bile acid synthesis gene (Cholesterol 7 alpha-hydroxylase, Cyp7a1), and increased the expression of bile acid transport genes (Multidrug resistance associated protein 2, Abcc2; and Bile salt export pump, Abcb11). Moreover, these alterations were significantly attenuated by knocking down FXR in hepatocytes. We further divided the organic components and water-soluble components from PM2.5, and found that two components bound to and activated FXR, and decreased the bile acid levels in hepatocytes. In addition, benzo[a]pyrene (B[a]P) and cadmium (Cd) were identified as two bioactive components in PM2.5-induced bile acid disorders through FXR signaling pathway. Overall, we found PM2.5 components could bind to and activate FXR, thereby disrupting bile acid synthesis and transport in hepatocytes. These new findings also provide new insights into PM2.5-induced toxicity through nuclear receptor pathways.
Collapse
Affiliation(s)
- Donghui Zhang
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Xinya Liu
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Lanchao Sun
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Daochuan Li
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jingyue Du
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Huizi Yang
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Dianke Yu
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Chuanhai Li
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China.
| |
Collapse
|
7
|
Khoshakhlagh AH, Mohammadzadeh M, Gruszecka-Kosowska A. The preventive and carcinogenic effect of metals on cancer: a systematic review. BMC Public Health 2024; 24:2079. [PMID: 39090615 PMCID: PMC11293075 DOI: 10.1186/s12889-024-19585-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 07/25/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Many studies have investigated the role of metals in various types of malignancies. Considering the wide range of studies conducted in this field and the achievement of different results, the presented systematic review was performed to obtain the results of investigations on the prevention and occurrence of various types of cancer associated with metal exposures. METHODS In this review, research was conducted in the three databases: Scopus, PubMed, and Web of Science without historical restrictions until May 31, 2024. Animal studies, books, review articles, conference papers, and letters to the editors were omitted. The special checklist of Joanna Briggs Institute (JBI) was used for the quality assessment of the articles. Finally, the findings were classified according to the effect of the metal as preventive or carcinogenic. RESULTS The total number of retrieved articles was 4695, and 71 eligible results were used for further investigation. In most studies, the concentration of toxic metals such as lead (Pb), chromium (Cr (VI)), arsenic (As), cadmium (Cd), and nickel (Ni) in the biological and clinical samples of cancer patients was higher than that of healthy people. In addition, the presence of essential elements, such as selenium (Se), zinc (Zn), iron (Fe), and manganese (Mn) in tolerable low concentrations was revealed to have anti-cancer properties, while exposure to high concentrations has detrimental health effects. CONCLUSIONS Metals have carcinogenic effects at high levels of exposure. Taking preventive measures, implementing timely screening, and reducing the emission of metal-associated pollutants can play an effective role in reducing cancer rates around the world.
Collapse
Affiliation(s)
- Amir Hossein Khoshakhlagh
- Department of Occupational Health Engineering, School of Health, Kashan University of Medical Sciences, Kashan, Iran
| | - Mahdiyeh Mohammadzadeh
- Department of Health in Emergencies and Disasters, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
- Climate Change and Health Research Center (CCHRC), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Agnieszka Gruszecka-Kosowska
- AGH University of Krakow, Faculty of Geology, Geophysics and Environmental Protection, Department of Environmental Protection, Al. A. Mickiewicza 30, Krakow, 30-059, Poland
| |
Collapse
|
8
|
Li S, Wang S, Wu Q, Zhao B, Jiang Y, Zheng H, Wen Y, Zhang S, Wu Y, Hao J. Integrated Benefits of Synergistically Reducing Air Pollutants and Carbon Dioxide in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024. [PMID: 39086301 DOI: 10.1021/acs.est.4c00599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Abstract
China's advancements in addressing air pollution and reducing CO2 emissions offer valuable lessons for collaborative strategies to achieve diverse environmental objectives. Previous studies have assessed the mutual benefits of climate policies and air pollution control measures on one another, lacking an integrated assessment of the benefits of synergistic control attributed to refined measures. Here, we comprehensively used coupled emission inventory and response models to evaluate the integrated benefits and synergy degrees of various measures in reducing air pollutants and CO2 in China during 2013-2021. Results indicated that the implemented measures yielded integrated benefits value at 6.7 (2.4-12.6) trillion Chinese Yuan. The top five contributors, accounting for 55%, included promoting non-thermal power, implementing end-of-pipe control technologies in power plants and iron and steel industry, replacing residential scattered coal, and saving building energy. Measures demonstrating high synergies and integrated benefits per unit of reduction (e.g., green traffic promotion) yielded low benefits mainly due to their low application, which are expected to gain greater implementation and prioritization in the future. Our findings provide insights into the effectiveness and limitations of strategies aimed at joint control. By ranking these measures based on their benefits and synergy, we offer valuable guidance for policy development in China and other nations with similar needs.
Collapse
Affiliation(s)
- Shengyue Li
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Shuxiao Wang
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Qingru Wu
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Bin Zhao
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Yueqi Jiang
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Haotian Zheng
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Yifan Wen
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Shaojun Zhang
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Ye Wu
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| | - Jiming Hao
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, P. R. China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, P. R. China
| |
Collapse
|
9
|
Liang S, Chen Y, Sun X, Dong X, He G, Pu Y, Fan J, Zhong X, Chen Z, Lin Z, Ma W, Liu T. Long-term exposure to ambient ozone and cardiovascular diseases: Evidence from two national cohort studies in China. J Adv Res 2024; 62:165-173. [PMID: 37625570 DOI: 10.1016/j.jare.2023.08.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
INTRODUCTION The health effects of ambient ozone have been investigated in many previous studies. However, the effects of long-term exposure to ambient ozone on the incidence of cardiovascular disease (CVD) remain inconclusive. OBJECTIVES To estimate the associations of long-term exposure to maximum daily 8-hours average ozone (MDA8 O3) with the incidence of total CVD, heart disease, hypertension, and stroke. METHODS This was a prospective cohort study, and the data was obtained from the China Health and Retirement Longitudinal Survey (CHARLS) implemented during 2011-2018 and the China Family Panel Studies (CFPS) implemented during 2010-2018. We applied a Cox proportional hazards regression model to evaluate the associations of MDA8 O3 with total CVD, heart disease, hypertension, and stroke risks, and the corresponding population-attributable fractions (PAF) attributable to MDA8 O3 were also calculated. All analyses were conducted by R software. RESULTS The mean MDA8 O3 concertation of all included participants in the CHARLS and CFPS were 51.03 part per billion (ppb) and 51.15 ppb, respectively. In the CHARLS including 18,177 participants, each 10 ppb increment in MDA8 O3 concentration was associated with a 31% increase [hazard ratio (HR) = 1.31, 95% confidence interval (CI): 1.22-1.42] in the risk of incident heart disease, and the corresponding population-attributable fractions (PAF) was 13.79% [10.12%-17.32%]. In the CFPS including 30,226 participants, each 10 ppb increment in MDA8 O3 concentration was associated with an increase in the risk of incident total CVD (1.07 [1.02-1.13]), and hypertension (1.10 [1.03-1.18]). The PAFs of total CVD, and hypertension attributable to MDA8 O3 were 3.53% [0.82%-6.16%], and 5.11% [1.73%-8.38%], respectively. Stratified analyses showed greater associations in males, urban areas, and Southern China. CONCLUSIONS Long-term exposure to MDA8 O3 may increase the incidence of CVD. Therefore, the policies that control O3 and related precursors are persistently needed.
Collapse
Affiliation(s)
- Shuru Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Yumeng Chen
- Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, Foshan 528000, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou 511442, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Yudong Pu
- Songshan Lake Central Hospital of Dongguan City, Dongguan 523808, China
| | - Jingjie Fan
- Department of Prevention and Health Care, Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China
| | - Xinqi Zhong
- Department of Neonatology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China
| | - Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China.
| |
Collapse
|
10
|
Hua C, Ma W, Zheng F, Zhang Y, Xie J, Ma L, Song B, Yan C, Li H, Liu Z, Liu Q, Kulmala M, Liu Y. Health risks and sources of trace elements and black carbon in PM 2.5 from 2019 to 2021 in Beijing. J Environ Sci (China) 2024; 142:69-82. [PMID: 38527897 DOI: 10.1016/j.jes.2023.05.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 05/12/2023] [Accepted: 05/14/2023] [Indexed: 03/27/2024]
Abstract
A comprehensive health risk assessment of PM2.5 is meaningful to understand the current status and directions regarding further improving air quality from the perspective of human health. In this study, we evaluated the health risks of PM2.5 as well as highly toxic inorganic components, including heavy metals (HMs) and black carbon (BC) based on long-term observations in Beijing from 2019 to 2021. Our results showed that the relative risks of chronic obstructive pulmonary disease, lung cancer, acute lower respiratory tract infection, ischemic heart disease, and stroke decreased by 4.07%-9.30% in 2020 and 2.12%-6.70% in 2021 compared with 2019. However, they were still at high levels ranging from 1.26 to 1.77, in particular, stroke showed the highest value in 2021. Mn had the highest hazard quotient (HQ, from 2.18 to 2.56) for adults from 2019 to 2021, while Ni, Cr, Pb, As, and BC showed high carcinogenic risks (CR > 1.0×10-6) for adults. The HQ values of Mn and As and the CR values of Pb and As showed constant or slight upwards trends during our observations, which is in contrast to the downward trends of other HMs and PM2.5. Mn, Cr, and BC are crucial toxicants in PM2.5. A significant shrink of southern region sourcesof HMs and BCshrank suggests the increased importance of local sources. Industry, dust, and biomass burning are the major contributors to the non-carcinogenic risks, while traffic emissions and industry are the dominant contributors to the carcinogenic risks in Beijing.
Collapse
Affiliation(s)
- Chenjie Hua
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Wei Ma
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Feixue Zheng
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Yusheng Zhang
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Jiali Xie
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Li Ma
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Boying Song
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Chao Yan
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki 00014, Finland
| | - Hongyan Li
- School of Environment and Safety, Taiyuan University of Science and Technology, Taiyuan 030024, China
| | - Zhen Liu
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Qian Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Markku Kulmala
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki 00014, Finland
| | - Yongchun Liu
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
| |
Collapse
|
11
|
Dowling TC, Pennington AF, Wall HK, Mirabelli MC. Air Quality Perceptions, Awareness, and Associated Behaviors Among U.S. Adults With and Without Heart Disease. AJPM FOCUS 2024; 3:100249. [PMID: 39027404 PMCID: PMC11255093 DOI: 10.1016/j.focus.2024.100249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Introduction Exposure to ambient air pollution can worsen cardiovascular disease and increase the risk of stroke, myocardial infarction, and cardiovascular disease mortality. Strategies to reduce air pollution exposure can therefore help prevent cardiovascular morbidity and mortality. This study was conducted to assess the awareness among U.S. adults of the effect of air pollution on cardiovascular health and actions individuals can take to reduce their air pollution exposure. Methods In May-July 2022, 4,156 adults responded to the summer wave of the 2022 ConsumerStyles survey and self-reported their heart disease status and perceptions, awareness, and behaviors about ambient air pollution and health. In 2023, the data were analyzed to generate weighted population estimates representative of noninstitutionalized U.S. adults. Associations between heart disease and responses about perceptions, awareness, and behaviors were estimated using binomial and multinomial regression methods for weighted data. Results Overall, 90% of the weighted population estimate of U.S. adults reported that air pollution can impact a person's health, and 44% reported that air pollution can cause or worsen heart disease. Percentages of adults reporting that air pollution can impact a person's health (prevalence ratio=1.09; 95% CI=1.06, 1.12) and that air pollution can cause or worsen heart disease (prevalence ratio=1.28; 95% CI=1.08, 1.51) were higher among adults with than without heart disease. Conclusions Less than half of U.S. adults are aware that air pollution affects heart disease. Improvements in awareness of the effect of air pollution on cardiovascular health and strategies to reduce exposure could help protect individuals with heart disease.
Collapse
Affiliation(s)
- Tia C. Dowling
- Asthma and Air Quality Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
- Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee
| | - Audrey F. Pennington
- Lead Poisoning Prevention and Surveillance Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Hilary K. Wall
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Maria C. Mirabelli
- Asthma and Air Quality Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
12
|
Yu Y, Zhang M, Tang Y, Zhai C, Hu W, Yu G, Sun H, Xu Y, Zong Q, Liu Y, Gong X, Wang F, Zou Y. Global disease burden attributable to kidney dysfunction, 1990-2019: A health inequality and trend analysis based on the global burden of disease study. Diabetes Res Clin Pract 2024:111801. [PMID: 39094741 DOI: 10.1016/j.diabres.2024.111801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 07/16/2024] [Accepted: 07/29/2024] [Indexed: 08/04/2024]
Abstract
OBJECTIVE This study aimed to evaluate the burden of kidney dysfunction (KD), assess socioeconomic inequalities, and project trends in the future. METHODS Data on deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) were from Global Burden of Disease Study 2019. The Joinpoint regression model was utilized to analyze the temporal trend by the annual percentage change (APC). The slope index and concentration index were employed to evaluate cross-country disparities. The future trend was predicted using an age-period-cohort analysis. RESULTS In the past three decades, the death numbers of KD increased from 1,571,720 to 3,161,552, DALYs from 42,090,331 to 76,486,945, YLDs from 5,003,267 to 11,282,484, and YLLs from 37,087,065 to 65,204,461, respectively. The age-standardized rate (ASR) of deaths, DALYs, and YLLs exhibited a declining trend. The ASR of YLDs increased until 2017, then decreased. The slope index and concentration index for DALYs increased from 248.1 to 351.9 and from 40.70 to 57.8. In the future, the ASR of deaths, DALYs, YLDs, and YLLs will remain stable, while their numbers will continue to rise, except for YLLs. CONCLUSIONS The disease burden of KD remained serious. Tailored interventions should be developed based on national contexts.
Collapse
Affiliation(s)
- Yingying Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Mingyi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yuqin Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Chunxia Zhai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Wanqin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Guanghui Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Hongyu Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Ying Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Qiqun Zong
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yuqi Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Xingyu Gong
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Fang Wang
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yanfeng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
| |
Collapse
|
13
|
Makgalemane MR, Patrick S, Shirinde J. Respiratory conditions and health symptoms associated with air pollution amongst children aged six years and below in Melusi Informal Settlement, Tshwane Metropolitan Municipality, South Africa: a cross-sectional study. BMC Public Health 2024; 24:2038. [PMID: 39080586 PMCID: PMC11290171 DOI: 10.1186/s12889-024-19324-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/01/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Respiratory conditions and health symptoms associated with air pollution in children are a major public health concern, as their immune systems and lungs are not yet fully developed. This study aimed to assess self-reported respiratory conditions and health symptoms associated with air pollution sources amongst children aged six years and below in Melusi informal settlement, Tshwane Metropolitan Municipality, South Africa. METHODS With a quantitative cross-sectional study design, parents/caregivers of children aged six years and below (n = 300) from eight Early Childhood Development Centres were invited to participate in the study. This study employed complete sampling, and data was collected using the modified International Study of Asthma and Allergies in Children. The chi-square and multiple logistic regression models were used to analyze data, with p < 0.05 in the adjusted odds ratios considered as being statistically significant. RESULTS Three models were run to examine the predictors of wheezing in the past 12 months, dry cough, and itchy-watery eyes. The model for asthma was excluded, as only seven participants reported having asthma. Wheeze in the past 12 months was associated with participants living in the area for more than three years (OR 2.96 95%CI: 1.011-8.674). Furthermore, having a dog in the house in the past 12 months was associated with wheeze in the past 12 months (OR 5.98 95%CI: 2.107-16.967). There was an association between duration of stay in a residence and dry cough prevalence (OR 5.63 95%CI: 2.175-14.584). Trucks always or frequently passing near homes was associated with itchy-watery eyes (OR 3.27 95%CI: 1.358-7.889). 59% (59%) of participants perceived the indoor air quality in their homes to be good, while 6% perceived it as poor. In contrast, 36% of participants perceived the outdoor air quality to be good, and 19.7% perceived it as poor. CONCLUSION The association between perceived air pollution exposure, self-reported respiratory conditions, and health symptoms amongst children is complex. Further research is required to better understand the multifaceted nature of air pollution and its impact on the health of children.
Collapse
Affiliation(s)
- Moipoti Ruth Makgalemane
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, 31 Bophelo Road, Gezina, 0001, Pretoria, South Africa.
| | - Sean Patrick
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, 31 Bophelo Road, Gezina, 0001, Pretoria, South Africa
| | - Joyce Shirinde
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, 31 Bophelo Road, Gezina, 0001, Pretoria, South Africa
| |
Collapse
|
14
|
Tsai SS, Yang CY. The impacts of reduction in ambient fine particulate air pollution on natural-cause mortality in Taiwan. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2024:1-8. [PMID: 39074111 DOI: 10.1080/15287394.2024.2384396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
Many epidemiologic studies have reported an association between high concentrations of fine particulate matter (PM2.5) and increased mortality rates. Concurrently an association between decreased concentration of these airborne PM2.5 pollutants and a decline in mortality frequency was noted in certain investigations globally; however, only a very few of these studies were conducted in Asia. Taiwan was found to exhibit a 30% decline in ambient PM2.5 levels over the last 20 years. The aim of this ecological investigation was to examine the contribution of annual reductions in ambient PM2.5 to changes in age-standardized natural-cause mortality rates (ASRs) in 65 townships in Taiwan from 2006 to 2020 controlling for lung cancer mortality rate, physician density, and annual household income. Data demonstrated a 0.9/105 fall in adjusted ASR for every 10 ug/m3 reduction in mean annual PM2.5 level in Taiwan during this 14-year period, suggesting a significant association between reductions in ambient PM2.5 levels and decreases in natural-cause mortality rates.
Collapse
Affiliation(s)
- Shang-Shyue Tsai
- Department of Healthcare Administration, I-Shou University, Kaohsiung, Taiwan
| | - Chun-Yuh Yang
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
- National Institute of Environmental Health Sciences, National Health Research Institute, Miaoli, Taiwan
| |
Collapse
|
15
|
Morawska L, Li Y, Salthammer T. Lessons from the COVID-19 pandemic for ventilation and indoor air quality. Science 2024; 385:396-401. [PMID: 39052782 DOI: 10.1126/science.adp2241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 06/07/2024] [Indexed: 07/27/2024]
Abstract
The rapid global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the beginning of 2020 presented the world with its greatest health challenge in decades. It soon became clear that governments were unprepared to respond appropriately to this crisis. National and international public health authorities were confused about the transmission routes of the virus and the control measures required to protect against it. In particular, the need to reduce the risk of infection through sufficient and effective ventilation of indoor spaces was given little attention. In this review, we discuss insights and key lessons learned from the COVID-19 pandemic regarding the role of ventilation as an effective means against airborne transmission of pathogens and, more broadly, for supporting good indoor air quality.
Collapse
Affiliation(s)
- Lidia Morawska
- Queensland University of Technology, International Laboratory for Air Quality and Health, Brisbane, QLD 4000, Australia
- Global Centre for Clean Air Research (GCARE), School of Sustainability, Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK
| | - Yuguo Li
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
| | - Tunga Salthammer
- Queensland University of Technology, International Laboratory for Air Quality and Health, Brisbane, QLD 4000, Australia
- Department of Material Analysis and Indoor Chemistry, Fraunhofer WKI, Braunschweig 38108, Germany
| |
Collapse
|
16
|
Portugal J, Bedia C, Amato F, Juárez-Facio AT, Stamatiou R, Lazou A, Campiglio CE, Elihn K, Piña B. Toxicity of airborne nanoparticles: Facts and challenges. ENVIRONMENT INTERNATIONAL 2024; 190:108889. [PMID: 39042967 DOI: 10.1016/j.envint.2024.108889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/10/2024] [Accepted: 07/14/2024] [Indexed: 07/25/2024]
Abstract
Air pollution is one of the most severe environmental healthhazards, and airborne nanoparticles (diameter <100 nm) are considered particularly hazardous to human health. They are produced by various sources such as internal combustion engines, wood and biomass burning, and fuel and natural gas combustion, and their origin, among other parameters, determines their intrinsic toxicity for reasons that are not yet fully understood. Many constituents of the nanoparticles are considered toxic or at least hazardous, including polycyclic aromatic hydrocarbons (PAHs) and heavy metal compounds, in addition to gaseous pollutants present in the aerosol fraction, such as NOx, SO2, and ozone. All these compounds can cause oxidative stress, mitochondrial damage, inflammation in the lungs and other tissues, and cellular organelles. Epidemiological investigations concluded that airborne pollution may affect the respiratory, cardiovascular, and nervous systems. Moreover, particulate matter has been linked to an increased risk of lung cancer, a carcinogenic effect not related to DNA damage, but to the cellular inflammatory response to the pollutants, in which the release of cytokines promotes the proliferation of pre-existing mutated cancer cells. The mechanisms behind toxicity can be investigated experimentally using cell cultures or animal models. Methods for gathering particulate matter have been explored, but standardized protocols are needed to ensure that the samples accurately represent chemical mixtures in the environment. Toxic constituents of nanoparticles can be studied in animal and cellular models, but designing realistic exposure settings is challenging. The air-liquid interface (ALI) system directly exposes cells, mimicking particle inhalation into the lungs. Continuous research and monitoring of nanoparticles and other airborne pollutants is essential for understanding their effects and developing active strategies to mitigate their risks to human and environmental health.
Collapse
Affiliation(s)
- José Portugal
- Institute of Environmental Assessment and Water Research, CSIC, 08034 Barcelona, Spain.
| | - Carmen Bedia
- Institute of Environmental Assessment and Water Research, CSIC, 08034 Barcelona, Spain
| | - Fulvio Amato
- Institute of Environmental Assessment and Water Research, CSIC, 08034 Barcelona, Spain
| | - Ana T Juárez-Facio
- Department of Environmental Science, Stockholm University, 11419 Stockholm, Sweden
| | - Rodopi Stamatiou
- School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Antigone Lazou
- School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Chiara E Campiglio
- Department of Management, Information and Production Engineering, University of Bergamo, 24044 Dalmine, BG, Italy
| | - Karine Elihn
- Department of Environmental Science, Stockholm University, 11419 Stockholm, Sweden
| | - Benjamin Piña
- Institute of Environmental Assessment and Water Research, CSIC, 08034 Barcelona, Spain.
| |
Collapse
|
17
|
Anand A, Touré N, Bahino J, Gnamien S, Hughes AF, Arku RE, Tawiah VO, Asfaw A, Mamo T, Hasheminassab S, Bililign S, Moschos V, Westervelt DM, Presto AA. Low-Cost Hourly Ambient Black Carbon Measurements at Multiple Cities in Africa. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12575-12584. [PMID: 38952258 PMCID: PMC11256757 DOI: 10.1021/acs.est.4c02297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/18/2024] [Accepted: 06/20/2024] [Indexed: 07/03/2024]
Abstract
There is a notable lack of continuous monitoring of air pollutants in the Global South, especially for measuring chemical composition, due to the high cost of regulatory monitors. Using our previously developed low-cost method to quantify black carbon (BC) in fine particulate matter (PM2.5) by analyzing reflected red light from ambient particle deposits on glass fiber filters, we estimated hourly ambient BC concentrations with filter tapes from beta attenuation monitors (BAMs). BC measurements obtained through this method were validated against a reference aethalometer between August 2 and 23, 2023 in Addis Ababa, Ethiopia, demonstrating a very strong agreement (R2 = 0.95 and slope = 0.97). We present hourly BC for three cities in sub-Saharan Africa (SSA) and one in North America: Abidjan (Côte d'Ivoire), Accra (Ghana), Addis Ababa (Ethiopia), and Pittsburgh (USA). The average BC concentrations for the measurement period at the Abidjan, Accra, Addis Ababa Central summer, Addis Ababa Central winter, Addis Ababa Jacros winter, and Pittsburgh sites were 3.85 μg/m3, 5.33 μg/m3, 5.63 μg/m3, 3.89 μg/m3, 9.14 μg/m3, and 0.52 μg/m3, respectively. BC made up 14-20% of PM2.5 mass in the SSA cities compared to only 5.6% in Pittsburgh. The hourly BC data at all sites (SSA and North America) show a pronounced diurnal pattern with prominent peaks during the morning and evening rush hours on workdays. A comparison between our measurements and the Goddard Earth Observing System Composition Forecast (GEOS-CF) estimates shows that the model performs well in predicting PM2.5 for most sites but struggles to predict BC at an hourly resolution. Adding more ground measurements could help evaluate and improve the performance of chemical transport models. Our method can potentially use existing BAM networks, such as BAMs at U.S. Embassies around the globe, to measure hourly BC concentrations. The PM2.5 composition data, thus acquired, can be crucial in identifying emission sources and help in effective policymaking in SSA.
Collapse
Affiliation(s)
- Abhishek Anand
- Center
for Atmospheric Particle Studies, Carnegie
Mellon University, Pittsburgh, Pennsylvania 15213, United States
- Department
of Mechanical Engineering, Carnegie Mellon
University, Pittsburgh, Pennsylvania 15213, United States
| | | | - Julien Bahino
- Université
Félix Houphouët-Boigny, Abidjan 00225, Côte d’Ivoire
| | - Sylvain Gnamien
- Université
Félix Houphouët-Boigny, Abidjan 00225, Côte d’Ivoire
| | | | - Raphael E Arku
- Department
of Environmental Health Sciences, University
of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
| | - Victoria Owusu Tawiah
- Department
of Meteorology & Climate Science, Kwame
Nkrumah University of Science and Technology, Kumasi 00233, Ghana
| | - Araya Asfaw
- Institute
of Geophysics, Space Science and Astronomy, Addis Ababa University, Addis
Ababa 1176, Ethiopia
| | - Tesfaye Mamo
- Institute
of Geophysics, Space Science and Astronomy, Addis Ababa University, Addis
Ababa 1176, Ethiopia
| | - Sina Hasheminassab
- Jet
Propulsion Laboratory, California Institute
of Technology institution, Pasadena, California 91011, United States
| | - Solomon Bililign
- Department
of Physics, North Carolina A&T State
University, Greensboro, North Carolina 27411, United States
| | - Vaios Moschos
- Department
of Physics, North Carolina A&T State
University, Greensboro, North Carolina 27411, United States
| | - Daniel M. Westervelt
- Lamont
Doherty Earth Observatory, Columbia University, New York, New York 10964, United States
| | - Albert A. Presto
- Center
for Atmospheric Particle Studies, Carnegie
Mellon University, Pittsburgh, Pennsylvania 15213, United States
- Department
of Mechanical Engineering, Carnegie Mellon
University, Pittsburgh, Pennsylvania 15213, United States
| |
Collapse
|
18
|
Rahnemaei FA, Aghapour E, Asgharpoor H, Ardabili NS, Kashani ZA, Abdi F. Prenatal exposure to ambient air pollution and risk of fetal overgrowth: Systematic review of cohort studies. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 280:116526. [PMID: 38823346 DOI: 10.1016/j.ecoenv.2024.116526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/03/2024]
Abstract
OBJECTIVES Fetal overgrowth has detrimental effects on both the mother and the fetus. The global issue of ambient air pollution has been found to contribute to fetal overgrowth through various pathways. This study aimed to identify the association between prenatal exposure to ambient air pollution and the risk of fetal overgrowth. METHODS We identified articles between January 2013 and February 2024 by searching the Web of Sciences(WoS), PubMed, Proquest, Scopus, and Google Scholar databases. Quality assessment was performed using the Newcastle Ottawa scale. This review was provided based on the PRISMA guideline and registered with PROSPERO, "CRD42023488936". RESULTS The search generated 1719 studies, of which 22 cohort studies were included involving 3,480,041 participants. Results on the effects of air pollutants on fetal overgrowth are inconsistent because they vary in population and geographic region. But in general, the results indicate that prenatal exposure to air pollutants, specifically PM2.5, NO2, and SO2, is linked to a higher likelihood of fetal overgrowth(macrosomia and large for gestational age). Nevertheless, the relationship between CO and O3 pollution and fetal overgrowth remains uncertain. Furthermore, PM10 has a limited effect on fetal overgrowth. It is essential to consider the time that reproductive-age women are exposed to air pollution. Exposure to air pollutants before conception and throughout pregnancy has a substantial impact on the fetus's vulnerability to overgrowth. CONCLUSIONS Fetal overgrowth has implications for the health of both mother and fetus. fetal overgrowth can cause cardiovascular diseases, obesity, type 2 diabetes, and other diseases in adulthood, so it is considered an important issue for the health of the future generation. Contrary to popular belief that air pollution leads to intrauterine growth restriction and low birth weight, this study highlights that one of the adverse consequences of air pollution is macrosomia or LGA during pregnancy. Therefore governments must focus on implementing initiatives that aim to reduce pregnant women's exposure to ambient air pollution to ensure the health of future generations.
Collapse
Affiliation(s)
- Fatemeh Alsadat Rahnemaei
- Mother and Child Welfare Research Center,Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
| | - Ehsan Aghapour
- Department of Social Welfare Management, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
| | - Homeira Asgharpoor
- Reproductive Health Research Center, Guilan University of Medical Sciences, Rasht, Iran.
| | | | | | - Fatemeh Abdi
- Nursing and Midwifery Care Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
19
|
Cheng B, Ma Y, Zhao Y, Qin P, Feng F, Liu Z, Wang W, Zhang Y. Influence of topography and synoptic weather patterns on air quality in a valley basin city of Northwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:173362. [PMID: 38772485 DOI: 10.1016/j.scitotenv.2024.173362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/10/2024] [Accepted: 05/17/2024] [Indexed: 05/23/2024]
Abstract
To clarify the mechanism underlying the effects of weather patterns and topography on air pollution, this study conducted the obliquely rotated principal component analysis in the T-mode to analyze ERA5 reanalysis data and categorize typical weather patterns at a 700-hPa geopotential height from 2015 to 2022. The probability of worsened air pollution attributable to weather patterns was quantitatively assessed using a generalized additive model. The results indicated that due to the influence of topography, Lanzhou was affected by an extended period of downdraft (with weak convective intensity) and the delayed formation of a convective boundary layer during the daytime by 1-2 h relative to other areas. Under the combined effect of low trough patterns (south low pressure type [SL] and south low weak pressure type [SL-]) and topography, the formation of a stable layer above the planetary boundary layer (PBL) would weaken the vertical exchange of the local airflow and inhibit the development of the PBL. The type of SL led to the most severe pollution, causing a 61.9 % (95 % confidence interval [CI]: 46.3 %-79.3 %) increase in PM2.5 concentration. For southwest high pressure patterns (south high [SH], southwest weak high [SWH-], southwest high [SWH], and southwest strong high [SWH+] pressure types), the prevailing northwest wind was the main transport path for pollutants. For the high pressure patterns (north high [NH] and northwest high [NWH] pressure types) and south wind patterns (southeast weak high [SEH-], southeast high [SEH], and northeast high [NEH] pressure types), the enhancement of vertical convection, deepening of the PBL, and reduction of pollution transport led to improved air quality. The NH, NWH, and NEH pressure types caused PM2.5 concentration to decrease by 18.4 % (95 % CI: 8.8 %-27.1 %), 14.9 % (95 % CI: 4.7 %-24.0 %), and 35.9 % (95 % CI: 9.7 %-54.6 %), respectively.
Collapse
Affiliation(s)
- Bowen Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China.
| | - Yuhan Zhao
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Pengpeng Qin
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Fengliu Feng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Zongrui Liu
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Wanci Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| |
Collapse
|
20
|
Gupta P, Ferrer-Cid P, Barcelo-Ordinas JM, Garcia-Vidal J, Soni VK, Pöhlker ML, Ahlawat A, Viana M. Estimating black carbon levels using machine learning models in high-concentration regions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174804. [PMID: 39019282 DOI: 10.1016/j.scitotenv.2024.174804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 06/25/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
Black carbon (BC) is emitted into the atmosphere during combustion processes, often in conjunction with emissions such as nitrogen oxides (NOx) and ozone (O3), which are also by-products of combustion. In highly polluted regions, combustion processes are one of the main sources of aerosols and particulate matter (PM) concentrations, which affect the radiative budget. Despite the high relevance of this air pollution metric, BC monitoring is quite expensive in terms of instrumentation and of maintenance and servicing. With the aim to provide tools to estimate BC while minimising instrumentation costs, we use machine learning approaches to estimate BC from air pollution and meteorological parameters (NOx, O3, PM2.5, relative humidity (RH), and solar radiation (SR)) from currently available networks. We assess the effectiveness of various machine learning models, such as random forest (RF), support vector regression (SVR), and multilayer perceptron (MLP) artificial neural network, for predicting black carbon (BC) mass concentrations in areas with high BC levels such as Northern Indian cities (Delhi and Agra), across different seasons. The results demonstrate comparable effectiveness among the models, with the multilayer perceptron (MLP) showing the most promising results. In addition, the comparability between estimated and monitored BC concentrations was high. In Delhi, the MLP shows high correlations between measured and modelled concentrations during winter (R2: 0.85) and post-monsoon (R2: 0.83) seasons, and notable metrics in the pre-monsoon (R2: 0.72). The results from Agra are consistent with those from Delhi, highlighting the consistency of the neural network's performance. These results highlight the usefulness of machine learning, particularly MLP, as a valuable tool for predicting BC concentrations. This approach provides critical new opportunities for urban air quality management and mitigation strategies and may be especially valuable for megacities in medium- and low-income regions.
Collapse
Affiliation(s)
- Pratima Gupta
- Centre for Atmospheric Sciences, Indian Institute of Technology (IIT) Delhi, India
| | - Pau Ferrer-Cid
- Department of Computer Architecture, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
| | - Jose M Barcelo-Ordinas
- Department of Computer Architecture, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
| | - Jorge Garcia-Vidal
- Department of Computer Architecture, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
| | | | - Mira L Pöhlker
- Atmospheric Microphysics Department, Leibniz Institute for Tropospheric Research, Leipzig, Germany
| | - Ajit Ahlawat
- Atmospheric Microphysics Department, Leibniz Institute for Tropospheric Research, Leipzig, Germany.
| | - Mar Viana
- Institute of Environmental Assessment and Water Research, Spanish Research Council, IDAEA-CSIC, Barcelona, Spain
| |
Collapse
|
21
|
Dawidowski L, Gelman Constantin J, Herrera Murillo J, Gómez-Marín M, Nogueira T, Blanco Jiménez S, Díaz-Suárez V, Baraldo Victorica F, Lichtig P, Díaz Resquin M, Vargas-Rojas M, Murillo-Hernández J, Vergara Correa JA, de Fatima Andrade M, Monteiro Dos Santos D, Flores Maldonado J, Aldape F, Abreu LF, Manousakas MI. Carbonaceous fraction in PM2.5 of six Latin American cities: Seasonal variations, sources and secondary organic carbon contribution. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174630. [PMID: 39009140 DOI: 10.1016/j.scitotenv.2024.174630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 06/19/2024] [Accepted: 07/07/2024] [Indexed: 07/17/2024]
Abstract
Latin American (LatAm) cities are grappling with elevated levels of gaseous and particulate pollutants, which are having detrimental effects on both the local ecosystem and human health. Of particular concern are aerosols with smaller diameters (lower or equal to 2.5 μm, PM2.5), known for their ability to penetrate deep into the respiratory system. While measurements in the region are increasing, they remain limited. This study addresses this gap by presenting the results of a comprehensive, year-long PM2.5 monitoring campaign conducted in six LatAm cities: Buenos Aires, São Paulo, Medellín, San José, Quito and Ciudad de México. Despite all six monitoring sites being urban, they exhibited significant variations in PM2.5 levels, as well as in the content and seasonal behavior of elemental carbon (EC) and organic carbon (OC). Estimations of secondary organic carbon (SOC) using the EC-tracer method revealed a notable SOC relevance across all cities: secondary organic aerosols (SOA) accounted in average for between 19 % to 48 % of the total carbonaceous matter. Source attribution, conducted through the Positive Matrix Factorization (PMF) model, highlights substantial contributions from gasoline and diesel traffic emissions (29 % to 49 % of total carbon, TC), regional biomass burning (21 % to 27 %), and SOA (20 % to 38 %) in all cities, with similar chemical signatures. Additionally, industrial emissions were significant in two cities (Medellín and San José), while two others experienced minor impacts from construction machinery at nearby sites (Buenos Aires and Quito). This comparative analysis underscores the importance of considering not only the thermal optical EC/OC fractions as tracers of sources but also the OC/EC ratio of the PMF factors. This dual approach not only adds depth to the research but also suggests varied methodologies for addressing this crucial environmental concern. This study lays the groundwork for future investigations into the factors influencing the content and seasonality of SOA in the region.
Collapse
Affiliation(s)
- Laura Dawidowski
- Gerencia Química, Comisión Nacional de Energía Atómica, Av General Paz 1499, San Martin, B1650KNA, Buenos Aires, Argentina.
| | - Julián Gelman Constantin
- Gerencia Química, Comisión Nacional de Energía Atómica, Av General Paz 1499, San Martin, B1650KNA, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina, Godoy Cruz 2290, Ciudad Autónoma de Buenos Aires, C1425FQB, Argentina
| | - Jorge Herrera Murillo
- Laboratorio de Análisis Ambiental, Escuela de Ciencias Ambientales, Universidad Nacional, Avenida 1, Calle 9, Heredia, 40101, Heredia, Costa Rica
| | - Miriam Gómez-Marín
- Grupo GHYGAM, Politécnico Colombiano Jaime Isaza Cadavid, Facultad de Ingeniería, Cra. 48 N°7-151, Medellín, 050021, Antioquia, Colombia
| | - Thiago Nogueira
- Departamento de Saude Ambiental - Faculdade de Saude Publica, Universidade de Sao Paulo, Av. Dr Arnaldo, 715, Sao Paulo, 01246-904, Sao Paulo, Brazil
| | - Salvador Blanco Jiménez
- Instituto Nacional de Ecología y Cambio Climático, Blvd. Adolfo Ruiz Cortines No. 4209, Col. Jardines en la Montana, Tlalpan, Ciudad de México, 14210, Mexico
| | - Valeria Díaz-Suárez
- Laboratorio de Investigación Análisis y Monitoreo, Secretaría de Ambiente, Quito, Ecuador
| | - Facundo Baraldo Victorica
- Gerencia Química, Comisión Nacional de Energía Atómica, Av General Paz 1499, San Martin, B1650KNA, Buenos Aires, Argentina
| | - Pablo Lichtig
- Gerencia Química, Comisión Nacional de Energía Atómica, Av General Paz 1499, San Martin, B1650KNA, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina, Godoy Cruz 2290, Ciudad Autónoma de Buenos Aires, C1425FQB, Argentina
| | - Melisa Díaz Resquin
- Gerencia Química, Comisión Nacional de Energía Atómica, Av General Paz 1499, San Martin, B1650KNA, Buenos Aires, Argentina
| | - Minor Vargas-Rojas
- Laboratorio de Análisis Ambiental, Escuela de Ciencias Ambientales, Universidad Nacional, Avenida 1, Calle 9, Heredia, 40101, Heredia, Costa Rica
| | - Julio Murillo-Hernández
- Laboratorio de Análisis Ambiental, Escuela de Ciencias Ambientales, Universidad Nacional, Avenida 1, Calle 9, Heredia, 40101, Heredia, Costa Rica
| | - James Alberto Vergara Correa
- Grupo GHYGAM, Politécnico Colombiano Jaime Isaza Cadavid, Facultad de Ingeniería, Cra. 48 N°7-151, Medellín, 050021, Antioquia, Colombia
| | - Maria de Fatima Andrade
- Instituto de Astronomia, Geofisica e Ciencias Atmosfericas, Universidade de Sao Paulo, Rua do Matao 1226, Sao Paulo, 05508-090, Sao Paulo, Brazil
| | - Djacinto Monteiro Dos Santos
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Av. Athos da Silveira Ramos, 274, Rio de Janeiro, 21941-916, Rio de Janeiro, Brazil
| | - Javier Flores Maldonado
- Instituto Nacional de Investigaciones Nucleares, Carretera México Toluca-La Marquesa s/n, Ocoyoacac, 52750, Estado de México, Mexico
| | - Francisca Aldape
- Instituto Nacional de Investigaciones Nucleares, Carretera México Toluca-La Marquesa s/n, Ocoyoacac, 52750, Estado de México, Mexico
| | - Luis Felipe Abreu
- Instituto Nacional de Ecología y Cambio Climático, Blvd. Adolfo Ruiz Cortines No. 4209, Col. Jardines en la Montana, Tlalpan, Ciudad de México, 14210, Mexico
| | - Manousos Ioannis Manousakas
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), Forschungsstrasse 111, Villigen PSI, 5232, Switzerland
| |
Collapse
|
22
|
Chen Y, Shen H, Shen G, Ma J, Cheng Y, Russell AG, Zhao S, Hakami A, Tao S. Substantial differences in source contributions to carbon emissions and health damage necessitate balanced synergistic control plans in China. Nat Commun 2024; 15:5880. [PMID: 38997317 PMCID: PMC11245606 DOI: 10.1038/s41467-024-50327-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 07/04/2024] [Indexed: 07/14/2024] Open
Abstract
China's strategy to concurrently address climate change and air pollution mitigation is hindered by a lack of comprehensive information on source contributions to health damage and carbon emissions. Here we show notable discrepancies between source contributions to CO2 emissions and fine particulate matter (PM2.5)-related mortality by using adjoint emission sensitivity modeling to attribute premature mortality in 2017 to 53 sector and fuel/process combinations with high spatial resolution. Our findings reveal that monetized PM2.5 health damage exceeds climate impacts in over half of the analyzed subsectors. In addition to coal-fired energy generators and industrial boilers, the combined health and climate costs from energy-intensive processes, diesel-powered vehicles, domestic coal combustion, and agricultural activities exceed 100 billion US dollars, with health-related costs predominating. This research highlights the critical need to integrate the social costs of health damage with climate impacts to develop more balanced mitigation strategies toward these dual goals, particularly during fuel transition and industrial structure upgrading.
Collapse
Affiliation(s)
- Yilin Chen
- School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
- Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Huizhong Shen
- Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Guofeng Shen
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jianmin Ma
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Yafang Cheng
- Max Planck Institute for Chemistry, Mainz, 55128, Germany
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Shunliu Zhao
- Department of Civil and Environmental Engineering, Carleton University, Ottawa, ON, K1S5B6, Canada
| | - Amir Hakami
- Department of Civil and Environmental Engineering, Carleton University, Ottawa, ON, K1S5B6, Canada
| | - Shu Tao
- Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| |
Collapse
|
23
|
Luo C, Wei T, Jiang W, Yang YP, Zhang MX, Xiong CL, Tung TH. The association between air pollution and obesity: an umbrella review of meta-analyses and systematic reviews. BMC Public Health 2024; 24:1856. [PMID: 38992628 PMCID: PMC11238414 DOI: 10.1186/s12889-024-19370-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 07/04/2024] [Indexed: 07/13/2024] Open
Abstract
The objective of this umbrella review was to investigate comprehensive and synthesized evidence of the association between ambient air pollution and obesity based on the current systematic reviews and meta-analyses. Related studies from databases including PubMed, EMBASE, Web of Science, and the Cochrane Library, published before July 16, 2023, were considered in the analysis. All selected systematic reviews and meta-analyses were included in accordance with PRISMA guidelines. The risk of bias and the methodological quality were evaluated using the AMSTAR 2 tool. The protocol for this umbrella review was documented in PROSPERO with the registration number: CRD42023450191. This umbrella review identified 7 studies, including 5 meta-analyses and 2 systematic reviews, to assess the impacts of air pollutants on obesity. Commonly examined air pollutants included PM1, PM2.5, PM10, NO2, SO2, O3. Most of the included studies presented that air pollution exposure was positively associated with the increased risk of obesity. The impact of air pollution on obesity varied by different ambient air pollutants. This study provided compelling evidence that exposure to air pollution had a positive association with the risk of obesity. These findings further indicate the importance of strengthening air pollution prevention and control. Future studies should elucidate the possible mechanisms and pathways linking air pollution to obesity.
Collapse
Affiliation(s)
- Chengwen Luo
- Evidence-based Medicine Center, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Ting Wei
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Weicong Jiang
- Department of Financial Markets, Linhai Rural Commercial Bank, Linhai, China
| | - Yu-Pei Yang
- Department of Hematology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, China
| | - Mei-Xian Zhang
- Evidence-based Medicine Center, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Cai-Lian Xiong
- Department of Nosocomial Infection Control, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, China
| | - Tao-Hsin Tung
- Evidence-based Medicine Center, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
- Taizhou Institute of Medicine, Health and New Drug Clinical Research, Taizhou, China.
| |
Collapse
|
24
|
Errasti N, Lertxundi A, Barroeta Z, Alvarez JI, Ibarluzea J, Irizar A, Santa-Marina L, Urbieta N, García-Baquero G. Temporal change and impact on air quality of an energy recovery plant using the M-BACI design in Gipuzkoa. CHEMOSPHERE 2024; 363:142809. [PMID: 38986782 DOI: 10.1016/j.chemosphere.2024.142809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 06/21/2024] [Accepted: 07/07/2024] [Indexed: 07/12/2024]
Abstract
A significant concern in our society is the potential impact on both health and the environment of air pollutants released during the incineration of waste. Therefore, it is crucial to conduct thorough control and monitoring measures. In this context, the objective of this research was to study the evolution of particulate matter (PM2.5) and associated trace elements during the period before and after the installation of an Energy Recovery Plant (ERP). For that, a descriptive and temporal analysis of PM2.5 concentration and composition were performed on two similar areas (impact/control) using the Before-After/Control-Impact (BACI) design and two periods (before from January 01, 2018 to February 06, 2020 and after from December 10, 2020 to September 30, 2022). Results showed a decrease in the levels of PM2.5 and associated trace elements is observed in the impact zone (IZ) and in the control zone (CZ) throughout the study period. In the case of PM2.5, the most notable decrease occurred in the period of the start-up of the ERP, a period that coincides with the confinement and restrictions of COVID, with a subsequent increase in both zones, without reaching the levels observed in the period prior to the start-up of the ERP. Selenium is the only trace element that increases significantly in the IZ. In conclusion, a decrease is observed for all pollutants except selenium in both zones, although less pronounced in the IZ. Since selenium already showed an upward trend in the phase prior to the start of the ERP, it is necessary to investigate its evolution and find out the possible cause.
Collapse
Affiliation(s)
- Nuria Errasti
- Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Aitana Lertxundi
- Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain
| | - Ziortza Barroeta
- Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain.
| | - Jon Iñaki Alvarez
- Public Health Laboratory of the Basque Government, Bizkaia Technology Park, Ibaizabal Bidea, Building 502, 48160, Derio, Spain
| | - Jesús Ibarluzea
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain; Department of Health of the Basque Government, Subdirectorate of Public Health of Gipuzkoa, Avenida Navarra 4, 20013, San Sebastian, Spain; Faculty of Psychology, University of the Basque Country (UPV/EHU), 20008, San Sebastian, Spain
| | - Amaia Irizar
- Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain
| | - Loreto Santa-Marina
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain; Department of Health of the Basque Government, Subdirectorate of Public Health of Gipuzkoa, Avenida Navarra 4, 20013, San Sebastian, Spain
| | - Nerea Urbieta
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain
| | - Gonzalo García-Baquero
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; CEADIR. Faculty of Biology, University of Salamanca, Campus Miguel de Unamuno, Avda Licenciado Méndez Nieto S/n, 37007, Salamanca, Spain
| |
Collapse
|
25
|
Wei X, Ho KF, Yu T, Lin C, Chang LY, Chen D, Tam T, Huang B, Lau AKH, Lao XQ. The joint effect of long-term exposure to multiple air pollutants on non-accidental and cause-specific mortality: A longitudinal cohort study. JOURNAL OF HAZARDOUS MATERIALS 2024; 472:134507. [PMID: 38718510 DOI: 10.1016/j.jhazmat.2024.134507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/20/2024] [Accepted: 04/30/2024] [Indexed: 05/30/2024]
Abstract
The long-term joint impacts of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3) on mortality are inconclusive. To bridge this research gap, we included 283,568 adults from the Taiwan MJ cohort between 2005 and 2016 and linked with the mortality data until 31 May 2019. Participants' annual average exposures to PM2.5, NO2, and O3 were estimated using satellite-based spatial-temporal models. We applied elastic net-regularised Cox models to construct a weighted environmental risk score (WERS) for the joint effects of three pollutants on non-accidental, cardiovascular, and cancer mortality and evaluated the contribution of each pollutant. The three pollutants jointly raised non-accidental mortality risk with a WERS hazard ratio (HR) of 1.186 (95% CI: 1.118-1.259) per standard deviation increase in each pollutant and weights of 72.8%, 15.2%, and 12.0% for PM2.5, NO2, and O3, respectively. The WERS increased cardiovascular death risk [HR: 1.248 (1.042-1.496)], with PM2.5 as the first contributor and O3 as the second. The WERS also elevated the cancer death risk [HR: 1.173 (1.083-1.270)], where PM2.5 played the dominant role and NO2 ranked second. Coordinated control of these three pollutants can optimise the health benefits of air quality improvements.
Collapse
Affiliation(s)
- Xianglin Wei
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Kin Fai Ho
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Tsung Yu
- Department of Public Health, College of Medicine, National Cheng Kung University, Taiwan
| | - Changqing Lin
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China
| | - Ly-Yun Chang
- Institute of Sociology, Academia Sinica, Taipei, Taiwan
| | - Dezhong Chen
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Tony Tam
- Department of Sociology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Bo Huang
- Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Alexis K H Lau
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China
| | - Xiang Qian Lao
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong Special Administrative Region of China.
| |
Collapse
|
26
|
Qin P, Ma Y, Zhao Y, Liu Z, Wang W, Feng F, Cheng B. Temperature modification of air pollutants and their synergistic effects on respiratory diseases in a semi-arid city in Northwest China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:284. [PMID: 38963443 DOI: 10.1007/s10653-024-02044-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 05/21/2024] [Indexed: 07/05/2024]
Abstract
Air pollutants and temperature are significant threats to public health, and the complex linkages between the environmental factors and their interactions harm respiratory diseases. This study is aimed to analyze the impact of air pollutants and meteorological factors on respiratory diseases and their synergistic effects in Dingxi, a city in northwestern China, from 2018 to 2020 using a generalized additive model (GAM). Relative risk (RR) was employed to quantitatively evaluate the temperature modification on the short-term effects of PM2.5 and O3 and the synergistic effects of air pollutants (PM2.5 and O3) and meteorological elements (temperature and relative humidity) on respiratory diseases. The results indicated that the RRs per inter-quatile range (IQR) rise in PM2.5 and O3 concentrations were (1.066, 95% CI: 1.009-1.127, lag2) and (1.037, 95% CI: 0.975-1.102, lag4) for respiratory diseases, respectively. Temperature stratification suggests that the influence of PM2.5 on respiratory diseases was significantly enhanced at low and moderate temperatures, and the risk of respiratory diseases caused by O3 was significantly increased at high temperatures. The synergy analysis demonstrated significant a synergistic effect of PM2.5 with low temperature and high relative humidity and an antagonistic effect of high relative humidity and O3 on respiratory diseases. The findings would provide a scientific basis for the impact of pollutants on respiratory diseases in Northwest China.
Collapse
Affiliation(s)
- Pengpeng Qin
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Yuhan Zhao
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Zongrui Liu
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Wanci Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Fengliu Feng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| |
Collapse
|
27
|
Wang S, Qin T, Tu R, Li T, Chen GI, Green DC, Zhang X, Feng J, Liu H, Hu M, Fu Q. Indoor air quality in subway microenvironments: Pollutant characteristics, adverse health impacts, and population inequity. ENVIRONMENT INTERNATIONAL 2024; 190:108873. [PMID: 39024827 DOI: 10.1016/j.envint.2024.108873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/28/2024] [Accepted: 07/02/2024] [Indexed: 07/20/2024]
Abstract
Rapidly increasing urbanization in recent decades has elevated the subway as the primary public transportation mode in metropolitan areas. Indoor air quality (IAQ) inside subways is an important factor that influences the health of commuters and subway workers. This review discusses the subway IAQ in different cities worldwide by comparing the sources and abundance of particulate matter (PM2.5 and PM10) in these environments. Factors that affect PM concentration and chemical composition were found to be associated with the subway internal structure, train frequency, passenger volume, and geographical location. Special attention was paid to air pollutants, such as transition metals, volatile/semi-volatile organic compounds (VOCs and SVOCs), and bioaerosols, due to their potential roles in indoor chemistry and causing adverse health impacts. In addition, given that the IAQ of subway systems is a public health issue worldwide, we calculated the Gini coefficient of urban subway exposure via meta-analysis. A value of 0.56 showed a significant inequity among different cities. Developed regions with higher per capita income tend to have higher exposure. By reviewing the current advances and challenges in subway IAQ with a focus on indoor chemistry and health impacts, future research is proposed toward a sustainable urban transportation systems.
Collapse
Affiliation(s)
- Shunyao Wang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
| | - Tianchen Qin
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
| | - Ran Tu
- School of Transportation, Southeast University, Nanjing 210096, China; The Key Laboratory of Transport Industry of Comprehensive Transportation Theory (Nanjing Modern Multimodal Transportation Laboratory), Nanjing, China.
| | - Tianyuan Li
- Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Gang I Chen
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London W12 0BZ, UK
| | - David C Green
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London W12 0BZ, UK; NIRH HPRU in Environmental Exposures and Health, Imperial College London, London W12 0BZ, UK
| | - Xin Zhang
- School of Transportation, Southeast University, Nanjing 210096, China
| | - Jialiang Feng
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
| | - Haobing Liu
- School of Transportation Engineering, Tongji University, Shanghai 201804, China
| | - Ming Hu
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China; Shanghai Environmental Monitoring Center, Shanghai 200235, China
| | - Qingyan Fu
- Shanghai Academy of Environmental Sciences, Shanghai 200233, China.
| |
Collapse
|
28
|
Sajjad Abdollahpour S, Qi M, Le HTK, Hankey S. Urban spatial structure and air quality in the United States: Evidence from a longitudinal approach. ENVIRONMENT INTERNATIONAL 2024; 190:108871. [PMID: 38972115 DOI: 10.1016/j.envint.2024.108871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/27/2024] [Accepted: 07/02/2024] [Indexed: 07/09/2024]
Abstract
Previous studies on the relationship between urban form and air quality: (1) report mixed results among specific aspects of urban spatial structure (e.g., urban expansion, form, or shape) and (2) use primarily cross-sectional approaches with a single year of data. This study takes advantage of a multi-decade, longitudinal approach to investigate the impact of urban spatial structure on population-weighted concentrations of PM2.5 and NO2. Based on fixed-effect regression models for 481 urban areas in the United States spanning from 1990 to 2015, we found significant associations between various aspects of urban spatial structure and air quality after controlling for meteorological and socio-economic factors. Our results show that population density, compact urban form, circularity, and green space are associated with lower concentrations. Conversely, higher rates of urban expansion, industrial area, and polycentricity are associated with higher concentrations. For large cities (total population: 180,262,404), we found that increasing key factors from each urban spatial structure category (i.e., greenness, population density, compactness, circularity) by a modest 10% results in 10,387 (12,376) fewer deaths for PM2.5 (NO2). We recommend that policymakers adopt comprehensive strategies to increase population density, compactness, and green spaces while slowing urban expansion to reduce the health burden of air quality in US cities.
Collapse
Affiliation(s)
| | - Meng Qi
- School of Public and International Affairs, Virginia Tech, Blacksburg, VA, 24061, United States.
| | - Huyen T K Le
- Department of Geography, The Ohio State University, Columbus, OH, 43210, United States.
| | - Steve Hankey
- School of Public and International Affairs, Virginia Tech, Blacksburg, VA, 24061, United States.
| |
Collapse
|
29
|
Yang Q, Liu G, Falandysz J, Yang L, Zhao C, Chen C, Sun Y, Zheng M, Jiang G. Atmospheric emissions of particulate matter-bound heavy metals from industrial sources. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174467. [PMID: 38969122 DOI: 10.1016/j.scitotenv.2024.174467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/25/2024] [Accepted: 07/01/2024] [Indexed: 07/07/2024]
Abstract
Although industrial activities are significant contributors to atmospheric releases of particulate matter (PM) and associated toxic substances that lead to adverse human health effects, a knowledge gap exists concerning the human health risk resulting from such activities owing to lack of evaluation of industrial emissions. Here, we comprehensively characterized and quantified PM from 118 full-scale industrial plants. The dominant (97.9 %) PM showed diameters of <2.5 μm; 79.0 % had diameters below 1 μm. Annual atmospheric releases of Fe and heavy metals (As, Cd, Cr, Cu, Ni, Pb, Zn) contained in fine PM from these global industrial activities are estimated to be 51,161 t and 69,591 t, respectively. Emissions of heavy metals from these industries cause increased cancer risk, estimated to range from 1461 % to 50,752 %. Five crystalline compounds (ZnO, PbSO4, Mn3O4, Fe3O4, Fe2O3) that can indicate specific industrial sources are identified. Global annual emissions of these toxic compounds in fine PM from the industrial sources are estimated to be 78,635 t. The Global South displayed higher emissions than the Global North. These results are significant for recognizing regional health risks of industrial emissions.
Collapse
Affiliation(s)
- Qiuting Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guorui Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China.
| | - Jerzy Falandysz
- Medical University of Lodz, Faculty of Pharmacy, Department of Toxicology, Muszyńskiego 1, 90-151 Łódź, Poland
| | - Lili Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenyan Zhao
- University of Chinese Academy of Sciences, Beijing 100049, China; School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Changzhi Chen
- University of Chinese Academy of Sciences, Beijing 100049, China; School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Yuxiang Sun
- University of Chinese Academy of Sciences, Beijing 100049, China; School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Minghui Zheng
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| |
Collapse
|
30
|
Peters S, Bouma F, Hoek G, Janssen N, Vermeulen R. Air pollution exposure and mortality from neurodegenerative diseases in the Netherlands: A population-based cohort study. ENVIRONMENTAL RESEARCH 2024; 259:119552. [PMID: 38964584 DOI: 10.1016/j.envres.2024.119552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Long-term exposure to ambient air pollution has been linked with all-cause mortality and cardiovascular and respiratory diseases. Suggestive associations between ambient air pollutants and neurodegeneration have also been reported, but due to the small effect and relatively rare outcomes evidence is yet inconclusive. Our aim was to investigate the associations between long-term air pollution exposure and mortality from neurodegenerative diseases. METHODS A Dutch national cohort of 10.8 million adults aged ≥30 years was followed from 2013 until 2019. Annual average concentrations of air pollutants (ultra-fine particles (UFP), nitrogen dioxide (NO2), fine particles (PM2.5 and PM10) and elemental carbon (EC)) were estimated at the home address at baseline, using land-use regression models. The outcome variables were mortality due to amyotrophic lateral sclerosis (ALS), Parkinson's disease, non-vascular dementia, Alzheimer's disease, and multiple sclerosis (MS). Hazard ratios (HR) were estimated using Cox models, adjusting for individual and area-level socio-economic status covariates. RESULTS We had a follow-up of 71 million person-years. The adjusted HRs for non-vascular dementia were significantly increased for NO2 (1.03; 95% confidence interval (CI) 1.02-1.05) and PM2.5 (1.02; 95%CI 1.01-1.03) per interquartile range (IQR; 6.52 and 1.47 μg/m3, respectively). The association with PM2.5 was also positive for ALS (1.02; 95%CI 0.97-1.07). These associations remained positive in sensitivity analyses and two-pollutant models. UFP was not associated with any outcome. No association with air pollution was found for Parkinson's disease and MS. Inverse associations were found for Alzheimer's disease. CONCLUSION Our findings, using a cohort of more than 10 million people, provide further support for associations between long-term exposure to air pollutants (PM2.5 and particularly NO2) and mortality of non-vascular dementia. No associations were found for Parkinson and MS and an inverse association was observed for Alzheimer's disease.
Collapse
Affiliation(s)
- Susan Peters
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands.
| | - Femke Bouma
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands
| | - Nicole Janssen
- National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, the Netherlands
| |
Collapse
|
31
|
Zhang W, Huo S, Deng S, Min K, Huang C, Yang H, Liu L, Zhang L, Zuo P, Liu L, Liu Q, Jiang G. In Vivo Exposure Pathways of Ambient Magnetite Nanoparticles Revealed by Machine Learning-Aided Single-Particle Mass Spectrometry. NANO LETTERS 2024. [PMID: 38954740 DOI: 10.1021/acs.nanolett.4c01937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Nanosized ultrafine particles (UFPs) from natural and anthropogenic sources are widespread and pose serious health risks when inhaled by humans. However, tracing the inhaled UFPs in vivo is extremely difficult, and the distribution, translocation, and metabolism of UFPs remain unclear. Here, we report a label-free, machine learning-aided single-particle inductively coupled plasma mass spectrometry (spICP-MS) approach for tracing the exposure pathways of airborne magnetite nanoparticles (MNPs), including external emission sources, and distribution and translocation in vivo using a mouse model. Our results provide quantitative analysis of different metabolic pathways in mice exposed to MNPs, revealing that the spleen serves as the primary site for MNP metabolism (84.4%), followed by the liver (11.4%). The translocation of inhaled UFPs across different organs alters their particle size. This work provides novel insights into the in vivo fate of UFPs as well as a versatile and powerful platform for nanotoxicology and risk assessment.
Collapse
Affiliation(s)
- Weican Zhang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Shiwei Huo
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Shenxi Deng
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ke Min
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Cha Huang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Hang Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Lin Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Luyao Zhang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Peijie Zuo
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Lihong Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Qian Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
- Institute of Environment and Health, Jianghan University, Wuhan 430056, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100190, China
| |
Collapse
|
32
|
Geng XZ, Hu JT, Zhang ZM, Li ZL, Chen CJ, Wang YL, Zhang ZQ, Zhong YJ. Exploring efficient strategies for air quality improvement in China based on its regional characteristics and interannual evolution of PM 2.5 pollution. ENVIRONMENTAL RESEARCH 2024; 252:119009. [PMID: 38679277 DOI: 10.1016/j.envres.2024.119009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 04/16/2024] [Accepted: 04/22/2024] [Indexed: 05/01/2024]
Abstract
Fine particulate matter (PM2.5) harms human health and hinders normal human life. Considering the serious complexity and obvious regional characteristics of PM2.5 pollution, it is urgent to fill in the comprehensive overview of regional characteristics and interannual evolution of PM2.5. This review studied the PM2.5 pollution in six typical areas between 2014 and 2022 based on the data published by the Chinese government and nearly 120 relevant literature. We analyzed and compared the characteristics of interannual and quarterly changes of PM2.5 concentration. The Beijing-Tianjin-Hebei region (BTH), Yangtze River Delta (YRD) and Pearl River Delta (PRD) made remarkable progress in improving PM2.5 pollution, while Fenwei Plain (FWP), Sichuan Basin (SCB) and Northeast Plain (NEP) were slightly inferior mainly due to the relatively lower level of economic development. It was found that the annual average PM2.5 concentration change versus year curves in the three areas with better pollution control conditions can be merged into a smooth curve. Importantly, this can be fitted for the accurate evaluation of each area and provide reliable prediction of its future evolution. In addition, we analyzed the factors affecting the PM2.5 in each area and summarize the causes of air pollution in China. They included primary emission, secondary generation, regional transmission, as well as unfavorable air dispersion conditions. We also suggested that the PM2.5 pollution control should target specific industries and periods, and further research need to be carried out on the process of secondary production. The results provided useful assistance such as effect prediction and strategy guidance for PM2.5 pollution control in Chinese backward areas.
Collapse
Affiliation(s)
- Xin-Ze Geng
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
| | - Jia-Tian Hu
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Zi-Meng Zhang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Zhi-Ling Li
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Chong-Jun Chen
- School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China
| | - Yu-Long Wang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Zhi-Qing Zhang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Ying-Jie Zhong
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| |
Collapse
|
33
|
Geldsetzer P, Fridljand D, Kiang MV, Bendavid E, Heft-Neal S, Burke M, Thieme AH, Benmarhnia T. Disparities in air pollution attributable mortality in the US population by race/ethnicity and sociodemographic factors. Nat Med 2024:10.1038/s41591-024-03117-0. [PMID: 38951636 DOI: 10.1038/s41591-024-03117-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/05/2024] [Indexed: 07/03/2024]
Abstract
There are large differences in premature mortality in the USA by race/ethnicity, education, rurality and social vulnerability index groups. Using existing concentration-response functions, published particulate matter (PM2.5) air pollution estimates, population estimates at the census tract level and county-level mortality data from the US National Vital Statistics System, we estimated the degree to which these mortality discrepancies can be attributed to differences in exposure and susceptibility to PM2.5. We show that differences in PM2.5-attributable mortality were consistently more pronounced by race/ethnicity than by education, rurality or social vulnerability index, with the Black American population having the highest proportion of deaths attributable to PM2.5 in all years from 1990 to 2016. Our model estimates that over half of the difference in age-adjusted all-cause mortality between the Black American and non-Hispanic white population was attributable to PM2.5 in the years 2000 to 2011. This difference decreased only marginally between 2000 and 2015, from 53.4% (95% confidence interval 51.2-55.9%) to 49.9% (95% confidence interval 47.8-52.2%), respectively. Our findings underscore the need for targeted air quality interventions to address environmental health disparities.
Collapse
Affiliation(s)
- Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA.
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
| | - Daniel Fridljand
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
- Department of Mathematics, Yale University, New Haven, CT, USA
| | - Mathew V Kiang
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Eran Bendavid
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Health Policy, Stanford University, Stanford, CA, USA
| | - Sam Heft-Neal
- Center on Food Security and the Environment, Stanford University, Stanford, CA, USA
| | - Marshall Burke
- Center on Food Security and the Environment, Stanford University, Stanford, CA, USA
- Doerr School of Sustainability, Stanford University, Stanford, CA, USA
| | - Alexander H Thieme
- Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tarik Benmarhnia
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santéenvironnement et travail) - UMR_S 1085, Rennes, France
| |
Collapse
|
34
|
Wei H, Chen C, Di F, Sun C, Wang X, Sun M, Liu N, Zhang M, Li M, Zhang J, Zhang S, Liang X. PM 2.5-induced ferroptosis by Nrf2/Hmox1 signaling pathway led to inflammation in microglia. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 352:124130. [PMID: 38729511 DOI: 10.1016/j.envpol.2024.124130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/15/2024] [Accepted: 05/07/2024] [Indexed: 05/12/2024]
Abstract
Particulate matter (PM) has been a dominant contributor to air contamination, which will enter the central nervous system (CNS), causing neurotoxicity. However, the biological mechanism is poorly identified. In this study, C57BL/6J mice were applied to evaluate the neurotoxicity of collected fine particulate matter (PM2.5), via oropharyngeal aspiration at two ambient equivalent concentrations. The Y-maze results showed that PM2.5 exposure in mice would lead to the damage in hippocampal-dependent working memory. In addition, cell neuroinflammation, microglial activation were detected in hippocampus of PM2.5-exposure mice. To confirm the underlying mechanism, the microarray assay was conducted to screen the differentially expressed genes (DEGs) in microglia after PM2.5 exposure, and the results indicated the enrichment of DEGs in ferroptosis pathways. Furthermore, Heme oxygenase-1 (Hmox1) was found to be one of the most remarkably upregulated genes after PM2.5 exposure for 24 h. And PM2.5 exposure induced ferroptosis with iron accumulation through heme degradation by Nrf2-mediated Hmox1 upregulation, which could be eliminated by Nrf2-inhibition. Meanwhile, Hmox1 antagonist zinc protoporphyrin IX (ZnPP) could protect BV2 cells from ferroptosis. The results taken together indicated that PM2.5 resulted in the ferroptosis by causing iron overload through Nrf2/Hmox1 signaling pathway, which could account for the inflammation in microglia.
Collapse
Affiliation(s)
- Haiyun Wei
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Chao Chen
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Fanglin Di
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Changhua Sun
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, 250014, China
| | - Xinzhi Wang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Meng Sun
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, 250014, China
| | - Natong Liu
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Min Zhang
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Meng Li
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, 250014, China
| | - Jie Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Shuping Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Xue Liang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.
| |
Collapse
|
35
|
Kim NR, Lee HJ. Ambient PM 2.5 exposure and rapid population aging: A double threat to public health in the Republic of Korea. ENVIRONMENTAL RESEARCH 2024; 252:119032. [PMID: 38685298 DOI: 10.1016/j.envres.2024.119032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/09/2024] [Accepted: 04/25/2024] [Indexed: 05/02/2024]
Abstract
Particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5) can infiltrate deep into the respiratory system, posing significant health risks. Notably, the health burden of PM2.5 is more pronounced among the older adult population. With an aging population, the public health burden attributable to PM2.5 could escalate even if the current PM2.5 level remains stable. This study evaluated the number of deaths attributable to long-term PM2.5 exposure in the Republic of Korea between 2020 and 2050 and identified the PM2.5 concentration required at least to maintain the current PM2.5 health burden. To calculate mortality for 2020-2050, we performed a health impact assessment using 3-year (2019-2021) average population-weighted PM2.5 concentrations, age-specific population and mortality rates. In 2020, 33,578 [95% confidence interval (CI) = 31,708-35,448] deaths were attributable to PM2.5 exposure. Projecting forward, if the 2019-2021 average PM2.5 level remains constant, mortality is projected to be 112,953 (95% CI = 109,963-115,943) in 2050, more than three times higher than in 2020. To maintain the same level of health burden in 2050 as in 2020, the PM2.5 concentration needs to be immediately reduced to 5.8 μg/m3. In an age-specific analysis, the proportion of older adults (ages 65+) to total mortality would increase from 83% (2020) to 96% (2050), indicating that the rising mortality is predominantly driven by the aging population. By region, the reduction of PM2.5 concentrations, which is required immediately in 2020 to have the health burden in 2050 equal to that in 2020, varied from 3.6 μg/m3 in Goheung-gun (25% reduction) to 20.8 μg/m3 in Heungdeok-gu (82% reduction). Our study emphasizes the critical need for air quality management to consider aging populations when establishing PM2.5 air quality standards, as well as their associated policies and regulations.
Collapse
Affiliation(s)
- Na Rae Kim
- Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, Republic of Korea; Research and Management Center for Health Risk of Particulate Matter, Seoul, 02481, Republic of Korea
| | - Hyung Joo Lee
- Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, Republic of Korea; Research and Management Center for Health Risk of Particulate Matter, Seoul, 02481, Republic of Korea; Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Incheon, 21983, Republic of Korea.
| |
Collapse
|
36
|
Kim RW, Takeshita J, Abuabara K. Air Pollution and Inflammatory Skin Disease-Can Clinicians Make Recommendations to Reduce Risk? JAMA Netw Open 2024; 7:e2421633. [PMID: 39012637 DOI: 10.1001/jamanetworkopen.2024.21633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/17/2024] Open
Affiliation(s)
- Richard W Kim
- University of California San Francisco School of Medicine
| | - Junko Takeshita
- Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Katrina Abuabara
- Department of Dermatology, University of California, San Francisco
- Division of Epidemiology, University of California Berkeley
| |
Collapse
|
37
|
Zhao B, Donahue NM, Zhang K, Mao L, Shrivastava M, Ma PL, Shen J, Wang S, Sun J, Gordon H, Tang S, Fast J, Wang M, Gao Y, Yan C, Singh B, Li Z, Huang L, Lou S, Lin G, Wang H, Jiang J, Ding A, Nie W, Qi X, Chi X, Wang L. Global variability in atmospheric new particle formation mechanisms. Nature 2024; 631:98-105. [PMID: 38867037 PMCID: PMC11222162 DOI: 10.1038/s41586-024-07547-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 05/09/2024] [Indexed: 06/14/2024]
Abstract
A key challenge in aerosol pollution studies and climate change assessment is to understand how atmospheric aerosol particles are initially formed1,2. Although new particle formation (NPF) mechanisms have been described at specific sites3-6, in most regions, such mechanisms remain uncertain to a large extent because of the limited ability of atmospheric models to simulate critical NPF processes1,7. Here we synthesize molecular-level experiments to develop comprehensive representations of 11 NPF mechanisms and the complex chemical transformation of precursor gases in a fully coupled global climate model. Combined simulations and observations show that the dominant NPF mechanisms are distinct worldwide and vary with region and altitude. Previously neglected or underrepresented mechanisms involving organics, amines, iodine oxoacids and HNO3 probably dominate NPF in most regions with high concentrations of aerosols or large aerosol radiative forcing; such regions include oceanic and human-polluted continental boundary layers, as well as the upper troposphere over rainforests and Asian monsoon regions. These underrepresented mechanisms also play notable roles in other areas, such as the upper troposphere of the Pacific and Atlantic oceans. Accordingly, NPF accounts for different fractions (10-80%) of the nuclei on which cloud forms at 0.5% supersaturation over various regions in the lower troposphere. The comprehensive simulation of global NPF mechanisms can help improve estimation and source attribution of the climate effects of aerosols.
Collapse
Affiliation(s)
- Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, China.
- Pacific Northwest National Laboratory, Richland, WA, USA.
| | - Neil M Donahue
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Kai Zhang
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - Lizhuo Mao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | | | - Po-Lun Ma
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jiewen Shen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, China
| | - Jian Sun
- National Center for Atmospheric Research, Boulder, CO, USA
| | - Hamish Gordon
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Shuaiqi Tang
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jerome Fast
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - Mingyi Wang
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Yang Gao
- Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao, China
| | - Chao Yan
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | | | - Zeqi Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Lyuyin Huang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Sijia Lou
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Guangxing Lin
- Pacific Northwest National Laboratory, Richland, WA, USA
- College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
| | - Hailong Wang
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jingkun Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, China
| | - Aijun Ding
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Wei Nie
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Ximeng Qi
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Xuguang Chi
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Lin Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| |
Collapse
|
38
|
Pipal AS, Kaur P, Singh SP, Rohra H, Taneja A. Morphology, aspect ratio, and surface elemental composition of primary aerosol particles at urban region of India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:47946-47959. [PMID: 39014140 DOI: 10.1007/s11356-024-34372-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 07/09/2024] [Indexed: 07/18/2024]
Abstract
The PM2.5 and PM10 particles were characterized in terms of morphology (size and shape) and surface elemental composition at two different (traffic and industrial) locations in urban region of India and further linked to different morphological defining parameters. The overall PM2.5 and PM10 showed significant daily variability indicating higher PM10 as compared to PM2.5. PM2.5/PM10 ratio was found to be 0.58 ± 0.10 indicating the abundance of PM2.5. Soot aggregates, aluminosilicates, and brochosomes particles were classified based on morphology, aspect ratio (AR), and surface elemental composition of single particles. The linear regression analysis indicates the significant correlation between area equivalent (Daeq) and feret diameter (Dfd) (R2 0.86-0.98). Higher aspect ratio (1.48 ± 0.87-1.43 ± 0.50) was noted at traffic site as compared to industrial site (1.33 ± 0.58-1.29 ± 0.30), while circularity showed the opposite trend. Fractal dimension (Df) of soot aggregates estimated by the soot parameters method (SPM) were found to be 1.70, 1.72, and 1.88, mainly attributed to vehicular emissions, biomass, and industrial emission/coal burning, respectively. This further inferred that freshly emitted soot particles exhibited lacey in nature with spherical shape (Df 1.70) at traffic site, while at industrial location, they were different with compact shapes (Df 1.88) due to particle aging processes. This study inferred the synoptic changes in mass, chemical characteristics, and morphology of aerosol particles which provide the new insights into individual atmospheric particle and their dynamic nature.
Collapse
Affiliation(s)
- Atar Singh Pipal
- Department of Chemistry, Dr. B R Ambedkar University, Agra, 282002, India
- Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, 411008, India
| | - Parminder Kaur
- Department of Physics, Tripura University, Suryamaninagar, West Tripura, 799022, India
| | | | - Himanshi Rohra
- Department of Chemistry, Savitribai Phule Pune University, Pune, 411007, India
| | - Ajay Taneja
- Department of Chemistry, Dr. B R Ambedkar University, Agra, 282002, India.
| |
Collapse
|
39
|
Soesanti F, Hoek G, Brunekreef B, Meliefste K, Chen J, Idris NS, Putri ND, Uiterwaal CSPM, Grobbee DE, Klipstein-Grobusch K. Perinatal exposure to traffic related air pollutants and the risk of infection in the first six months of life: a cohort study from a low-middle income country. Int Arch Occup Environ Health 2024; 97:575-586. [PMID: 38632139 PMCID: PMC11129992 DOI: 10.1007/s00420-024-02064-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/02/2024] [Indexed: 04/19/2024]
Abstract
OBJECTIVE There is limited study from low-and-middle income countries on the effect of perinatal exposure to air pollution and the risk of infection in infant. We assessed the association between perinatal exposure to traffic related air pollution and the risk of infection in infant during their first six months of life. METHODS A prospective cohort study was performed in Jakarta, March 2016-September 2020 among 298 mother-infant pairs. PM2.5, soot, NOx, and NO2 concentrations were assessed using land use regression models (LUR) at individual level. Repeated interviewer-administered questionnaires were used to obtain data on infection at 1, 2, 4 and 6 months of age. The infections were categorized as upper respiratory tract (runny nose, cough, wheezing or shortness of breath), lower respiratory tract (pneumonia, bronchiolitis) or gastrointestinal tract infection. Logistic regression models adjusted for covariates were used to assess the association between perinatal exposure to air pollution and the risk of infection in the first six months of life. RESULTS The average concentrations of PM2.5 and NO2 were much higher than the WHO recommended levels. Upper respiratory tract infections (URTI) were much more common in the first six months of life than diagnosed lower respiratory tract or gastro-intestinal infections (35.6%, 3.5% and 5.8% respectively). Perinatal exposure to PM2.5 and soot suggested increase cumulative risk of upper respiratory tract infection (URTI) in the first 6 months of life per IQR increase with adjusted OR of 1.50 (95% CI 0.91; 2.47) and 1.14 (95% CI 0.79; 1.64), respectively. Soot was significantly associated with the risk of URTI at 4-6 months age interval (aOR of 1.45, 95%CI 1.02; 2.09). All air pollutants were also positively associated with lower respiratory tract infection, but all CIs include unity because of relatively small samples. Adjusted odds ratios for gastrointestinal infections were close to unity. CONCLUSION Our study adds to the evidence that perinatal exposure to fine particles is associated with respiratory tract infection in infants in a low-middle income country.
Collapse
Affiliation(s)
- Frida Soesanti
- Department of Child Health, Faculty of Medicine, Universitas Indonesia/Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Gerard Hoek
- Environmental and Occupational Health Group Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Bert Brunekreef
- Environmental and Occupational Health Group Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Kees Meliefste
- Environmental and Occupational Health Group Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Jie Chen
- Environmental and Occupational Health Group Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Nikmah S Idris
- Department of Child Health, Faculty of Medicine, Universitas Indonesia/Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Nina D Putri
- Department of Child Health, Faculty of Medicine, Universitas Indonesia/Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Cuno S P M Uiterwaal
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Diederick E Grobbee
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kerstin Klipstein-Grobusch
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| |
Collapse
|
40
|
Yang L, Wang M, Xuan C, Yu C, Zhu Y, Luo H, Meng X, Shi S, Wang Y, Chu H, Chen R, Yan J. Long-term exposure to particulate matter pollution and incidence of ischemic and hemorrhagic stroke: A prospective cohort study in Eastern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 358:124446. [PMID: 38945192 DOI: 10.1016/j.envpol.2024.124446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/18/2024] [Accepted: 06/24/2024] [Indexed: 07/02/2024]
Abstract
Although epidemiological studies have demonstrated significant associations of long-term exposure to particulate matter (PM) air pollution with stroke, evidence on the long-term effects of PM exposure on cause-specific stroke incidence is scarce and inconsistent. We incorporated 33,282 and 33,868 individuals aged 35-75 years without a history of ischemic or hemorrhagic stroke at the baseline in 2014, who were followed up till 2021. Residential exposures to particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) and particulate matter with an aerodynamic diameter less than 10 μm (PM10) for each participant were predicted using a satellite-based model with a spatial resolution of 1 × 1 km. We employed time-varying Cox proportional hazards models to assess the long-term effect of PM pollution on incident stroke. We identified 926 cases of ischemic stroke and 211 of hemorrhagic stroke. Long-term PM exposure was significantly associated with increased incidence of both ischemic and hemorrhagic stroke, with almost 2 times higher risk on hemorrhagic stroke. Specifically, a 10 μg/m³ increase in 3-year average concentrations of PM2.5 was linked to a hazard ratio (HR) of 1.35 (95% confidence interval (CI): 1.18-1.54) for incident ischemic stroke and 1.79 (95% CI: 1.36-2.34) for incident hemorrhagic stroke. The HR related to PM10, though smaller, remained statistically significant, with a HR of 1.25 for ischemic stroke and a HR of 1.51 for hemorrhagic stroke. The excess risks are larger among rural residents and individuals with lower educational attainment. The present cohort study contributed to the mounting evidence on the increased risk of incident stroke associated with long-term PM exposures. Our results further provide valuable evidence on the heightened sensitivity of hemorrhagic stroke to air pollution exposures compared with ischemic stroke.
Collapse
Affiliation(s)
- Li Yang
- Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Menghao Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Cheng Xuan
- Chronic Disease Control Department, Zhuji Second People's Hospital, Zhuji, Zhejiang, China
| | - Caiyan Yu
- Chronic Disease Control Department, Zhuji Second People's Hospital, Zhuji, Zhejiang, China
| | - Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yali Wang
- Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Hongjie Chu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jing Yan
- Zhejiang Hospital, Hangzhou, Zhejiang, China.
| |
Collapse
|
41
|
Yang Y, Wu H, Zeng Y, Xu F, Zhao S, Zhang L, An Z, Li H, Li J, Song J, Wu W. Short-term exposure to air pollution on peripheral white blood cells and inflammation biomarkers: a cross-sectional study on rural residents. BMC Public Health 2024; 24:1702. [PMID: 38926692 PMCID: PMC11201365 DOI: 10.1186/s12889-024-19116-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
Effects of short-term exposure to ambient air pollution on systemic immunological and inflammatory biomarkers in rural population have not been adequately characterized. From May to July 2021, 5816 participants in rural villages of northern Henan Province, China, participated in this cross-sectional study. Blood biomarkers of systemic inflammation were determined including peripheral white blood cells (WBC), eosinophils (EOS), basophils (BAS), monocytes (MON), lymphocytes (LYM), neutrophils (NEU), neutrophil-lymphocyte ratio (NLR), and serum high-sensitivity C-reactive protein (hs-CRP). The concentrations of ambient fine particulate matter (PM2.5), PM10, nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) were assessed up to 7 days prior to the blood draw. A generalized linear model was used to analyze the associations between air pollution exposure and the above-mentioned blood biomarkers. Significantly positive associations were revealed between PM2.5, CO and WBC; CO, O3 and LYM; PM2.5, PM10, SO2, CO and NEU; PM2.5, PM10, SO2, CO and NLR; PM2.5, PM10, SO2, NO2, CO, O3 and hs-CRP. Meanwhile, negative associations were found between SO2 and WBC; PM2.5, PM10, NO2, CO, or O3 and EOS; PM2.5, SO2, or CO and BAS; SO2, NO2 or O3 and MON; PM2.5, PM10, SO2, or NO2 and LYM. Moreover, men, individuals with normal body mass index (BMI), current smokers, and those older than 60 years were found vulnerable to air pollution effects. Taken together, short-term exposure to air pollution was associated with systemic inflammatory responses, providing insight into the potential mechanisms for air pollution-induced detrimental systemic effects in rural residents.
Collapse
Affiliation(s)
- Yishu Yang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Hui Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Yuling Zeng
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Fei Xu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Shuaiqi Zhao
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Ling Zhang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Huijun Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Juan Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
| |
Collapse
|
42
|
Zheng S, Jiang L, Qiu L. The effects of fine particulate matter on the blood-testis barrier and its potential mechanisms. REVIEWS ON ENVIRONMENTAL HEALTH 2024; 39:233-249. [PMID: 36863426 DOI: 10.1515/reveh-2022-0204] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 11/13/2022] [Indexed: 02/17/2024]
Abstract
With the rapid expansion of industrial scale, an increasing number of fine particulate matter (PM2.5) has bringing health concerns. Although exposure to PM2.5 has been clearly associated with male reproductive toxicity, the exact mechanisms are still unclear. Recent studies demonstrated that exposure to PM2.5 can disturb spermatogenesis through destroying the blood-testis barrier (BTB), consisting of different junction types, containing tight junctions (TJs), gap junctions (GJs), ectoplasmic specialization (ES) and desmosomes. The BTB is one of the tightest blood-tissue barriers among mammals, which isolating germ cells from hazardous substances and immune cell infiltration during spermatogenesis. Therefore, once the BTB is destroyed, hazardous substances and immune cells will enter seminiferous tubule and cause adversely reproductive effects. In addition, PM2.5 also has shown to cause cells and tissues injury via inducing autophagy, inflammation, sex hormones disorder, and oxidative stress. However, the exact mechanisms of the disruption of the BTB, induced by PM2.5, are still unclear. It is suggested that more research is required to identify the potential mechanisms. In this review, we aim to understand the adverse effects on the BTB after exposure to PM2.5 and explore its potential mechanisms, which provides novel insight into accounting for PM2.5-induced BTB injury.
Collapse
Affiliation(s)
- Shaokai Zheng
- School of Public Health, Nantong University, Nantong, P. R. China
| | - Lianlian Jiang
- School of Public Health, Nantong University, Nantong, P. R. China
| | - Lianglin Qiu
- School of Public Health, Nantong University, Nantong, P. R. China
| |
Collapse
|
43
|
Cardinali M, Beenackers MA, Timmeren AV, Pottgiesser U. Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities. Health Place 2024; 89:103300. [PMID: 38924920 DOI: 10.1016/j.healthplace.2024.103300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
Exploring the influence of green space characteristics and proximity on health via air pollution mitigation, our study analysed data from 1,365 participants across Porto, Nantes, Sofia, and Høje-Taastrup. Utilizing OpenStreetMap and the AID-PRIGSHARE tool, we generated nine green space indicators around residential addresses at 15 distances, ranging from 100m to 1500m. We performed a mediation analysis for these 135 green space variables and revealed significant associations between self-rated air pollution and self-rated health for specific green space characteristics. In our study, indirect positive effects on health via air pollution were mainly associated with green corridors in intermediate Euclidean distances (800-1,000m) and the amount of accessible green spaces in larger network distances (1,400-1,500m). Our results suggest that the amount of connected green spaces measured in intermediate surroundings seems to be a prime green space characteristic that could drive the air pollution mitigation pathway to health.
Collapse
Affiliation(s)
- Marcel Cardinali
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands; Institute for Design Strategies, OWL University of Applied Sciences and Arts, 32756, Detmold, Germany.
| | - Mariëlle A Beenackers
- Department of Public Health, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands
| | - Arjan van Timmeren
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands
| | - Uta Pottgiesser
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands; Institute for Design Strategies, OWL University of Applied Sciences and Arts, 32756, Detmold, Germany
| |
Collapse
|
44
|
Olloquequi J, Díaz-Peña R, Verdaguer E, Ettcheto M, Auladell C, Camins A. From Inhalation to Neurodegeneration: Air Pollution as a Modifiable Risk Factor for Alzheimer's Disease. Int J Mol Sci 2024; 25:6928. [PMID: 39000036 PMCID: PMC11241587 DOI: 10.3390/ijms25136928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/13/2024] [Accepted: 06/22/2024] [Indexed: 07/14/2024] Open
Abstract
Air pollution, a growing concern for public health, has been linked to various respiratory and cardiovascular diseases. Emerging evidence also suggests a link between exposure to air pollutants and neurodegenerative diseases, particularly Alzheimer's disease (AD). This review explores the composition and sources of air pollutants, including particulate matter, gases, persistent organic pollutants, and heavy metals. The pathophysiology of AD is briefly discussed, highlighting the role of beta-amyloid plaques, neurofibrillary tangles, and genetic factors. This article also examines how air pollutants reach the brain and exert their detrimental effects, delving into the neurotoxicity of air pollutants. The molecular mechanisms linking air pollution to neurodegeneration are explored in detail, focusing on oxidative stress, neuroinflammation, and protein aggregation. Preclinical studies, including in vitro experiments and animal models, provide evidence for the direct effects of pollutants on neuronal cells, glial cells, and the blood-brain barrier. Epidemiological studies have reported associations between exposure to air pollution and an increased risk of AD and cognitive decline. The growing body of evidence supporting air pollution as a modifiable risk factor for AD underscores the importance of considering environmental factors in the etiology and progression of neurodegenerative diseases, in the face of worsening global air quality.
Collapse
Affiliation(s)
- Jordi Olloquequi
- Department of Biochemistry and Physiology, Physiology Section, Faculty of Pharmacy and Food Science, Universitat de Barcelona, 08028 Barcelona, Spain
- Laboratory of Cellular and Molecular Pathology, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile
| | - Roberto Díaz-Peña
- Laboratory of Cellular and Molecular Pathology, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Grupo de Medicina Xenomica-USC, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain
| | - Ester Verdaguer
- Department of Cellular Biology, Physiology and Immunology, Faculty of Biology, Universitat de Barcelona, 08028 Barcelona, Spain
- Institute of Neuroscience, Universitat de Barcelona, 08028 Barcelona, Spain
- Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
| | - Miren Ettcheto
- Institute of Neuroscience, Universitat de Barcelona, 08028 Barcelona, Spain
- Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Pharmacology, Toxicology and Therapeutic Chemistry, Faculty of Pharmacy and Food Science, Universitat de Barcelona, 08028 Barcelona, Spain
| | - Carme Auladell
- Department of Cellular Biology, Physiology and Immunology, Faculty of Biology, Universitat de Barcelona, 08028 Barcelona, Spain
- Institute of Neuroscience, Universitat de Barcelona, 08028 Barcelona, Spain
- Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
| | - Antoni Camins
- Institute of Neuroscience, Universitat de Barcelona, 08028 Barcelona, Spain
- Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Pharmacology, Toxicology and Therapeutic Chemistry, Faculty of Pharmacy and Food Science, Universitat de Barcelona, 08028 Barcelona, Spain
| |
Collapse
|
45
|
Alryalat SA, Toubasi AA, Patnaik JL, Kahook MY. The impact of air pollution and climate change on eye health: a global review. REVIEWS ON ENVIRONMENTAL HEALTH 2024; 39:291-303. [PMID: 36579431 DOI: 10.1515/reveh-2022-0209] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 12/07/2022] [Indexed: 06/17/2023]
Abstract
Climate change has important implications on human health, affecting almost every system in the body. Multiple studies have raised the possibility of climate change impacting eye health. In this review, we aimed to summarize current literature on the impact of air pollution and climate change on eye health. We performed a search in four different databases, including Medline, Scopus, Cochrane, and Web of Sciences databases. The search strategy combined terms regarding eye health and environmental/climate changes. The outcome of interest included all eye conditions. The search yielded 2,051 unique articles. After applying inclusion and exclusion criteria, 61 articles were included in this systematic review with data covering 2,620,030 participants. Most studies originated from China, India, South Korea, and USA. Climate change adversely affected different eye conditions, with ocular surface diseases (e.g., conjunctivitis and dry eye) being most affected. Moreover, higher particulate matter (PM) was the most widely assessed pollutant and was adversely associated with the majority of eye conditions, increasing the burden on patients and healthcare providers. We found a low frequency of publications related to the delivery of eye care and its impact on climate change in countries with high air pollution and climate change burden.
Collapse
Affiliation(s)
| | | | - Jennifer L Patnaik
- Department of Ophthalmology, University of Colorado School of Medicine, Sue Anschutz-Rodgers Eye Center, Aurora, CO, USA
| | - Malik Y Kahook
- Department of Ophthalmology, University of Colorado School of Medicine, Sue Anschutz-Rodgers Eye Center, Aurora, CO, USA
| |
Collapse
|
46
|
Chen X, Qin M, Liu S, Jiang S, Yang L, Liu Y, Tariq J. Experimental study on the effect of adjacent near-wall heat sources on the particle deposition. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172889. [PMID: 38697535 DOI: 10.1016/j.scitotenv.2024.172889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/08/2024] [Accepted: 04/28/2024] [Indexed: 05/05/2024]
Abstract
Adjacent near-wall heat sources are widely used in indoor environments. It is important to investigate the particle deposition under the influence of coupled thermal plumes arising from adjacent near-wall heat sources to improve indoor air quality and control harmful particle deposition. Thus, this study scrutinizes the behavior of thermal plumes emanating from adjacent near-wall heat sources, focusing on the deposition of particles with diameters of 0.3 μm, 0.5 μm, 1.0 μm and 3.0 μm on the wall behind the heat sources. These findings are juxtaposed with the pattern of particles with varying sizes situated above the single near-wall heat source and away from the heat sources. The study delves into the impact of varying surface temperatures and the distance from the wall behind the heat sources, as well as the top surface of the heat source, on particle deposition in 29 distinct cases. The results indicate that the deposition velocity of particles with the same size is highest above the adjacent near-wall heat sources, followed by that of a single near-wall heat source, and finally, locations away from the near-wall heat source. Also, the decay rate loss coefficient of particles with the same size above the adjacent near-wall heat sources increases with a decrease in the distance of the heat sources from the wall behind them, an increase in the temperature of the heat sources, and a reduction in distance from the top surface of heat sources.
Collapse
Affiliation(s)
- Xi Chen
- School of Civil Engineering, Henan University of Technology, Zhengzhou, Henan 450000, China
| | - Miaomiao Qin
- School of Civil Engineering, Henan University of Technology, Zhengzhou, Henan 450000, China
| | - Shuai Liu
- Institute of Deep-sea Science and Engineering, CAS, Sanya 572000, Hainan, China
| | - Shuai Jiang
- School of Civil Engineering, Henan University of Technology, Zhengzhou, Henan 450000, China
| | - Liu Yang
- School of Civil Engineering, Henan University of Technology, Zhengzhou, Henan 450000, China
| | - Yang Liu
- School of Civil Engineering, Henan University of Technology, Zhengzhou, Henan 450000, China
| | - Jawad Tariq
- School of Civil Engineering, Henan University of Technology, Zhengzhou, Henan 450000, China
| |
Collapse
|
47
|
Zeeshan N, Murtaza G, Ahmad HR, Awan AN, Shahbaz M, Freer-Smith P. Particulate and gaseous air pollutants exceed WHO guideline values and have the potential to damage human health in Faisalabad, Metropolitan, Pakistan. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:659. [PMID: 38916809 PMCID: PMC11199306 DOI: 10.1007/s10661-024-12763-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 05/25/2024] [Indexed: 06/26/2024]
Abstract
First-ever measurements of particulate matter (PM2.5, PM10, and TSP) along with gaseous pollutants (CO, NO2, and SO2) were performed from June 2019 to April 2020 in Faisalabad, Metropolitan, Pakistan, to assess their seasonal variations; Summer 2019, Autumn 2019, Winter 2019-2020, and Spring 2020. Pollutant measurements were carried out at 30 locations with a 3-km grid distance from the Sitara Chemical Industry in District Faisalabad to Bhianwala, Sargodha Road, Tehsil Lalian, District Chiniot. ArcGIS 10.8 was used to interpolate pollutant concentrations using the inverse distance weightage method. PM2.5, PM10, and TSP concentrations were highest in summer, and lowest in autumn or winter. CO, NO2, and SO2 concentrations were highest in summer or spring and lowest in winter. Seasonal average NO2 and SO2 concentrations exceeded WHO annual air quality guide values. For all 4 seasons, some sites had better air quality than others. Even in these cleaner sites air quality index (AQI) was unhealthy for sensitive groups and the less good sites showed Very critical AQI (> 500). Dust-bound carbon and sulfur contents were higher in spring (64 mg g-1) and summer (1.17 mg g-1) and lower in autumn (55 mg g-1) and winter (1.08 mg g-1). Venous blood analysis of 20 individuals showed cadmium and lead concentrations higher than WHO permissible limits. Those individuals exposed to direct roadside pollution for longer periods because of their occupation tended to show higher Pb and Cd blood concentrations. It is concluded that air quality along the roadside is extremely poor and potentially damaging to the health of exposed workers.
Collapse
Affiliation(s)
- Nukshab Zeeshan
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Ghulam Murtaza
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Hamaad Raza Ahmad
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Abdul Nasir Awan
- Department of Structures and Environmental Engineering, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Muhammad Shahbaz
- Department of Botany, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Peter Freer-Smith
- Department of Plant Sciences, University of California, One Shields Avenue, Davis, CA, 95616, USA.
| |
Collapse
|
48
|
Li L, Wang X, Bi X, Dai Q, Liu B, Wu J, Zhang Y, Feng Y. Aerosol in global oceanic regions: Four-decade trends, spatial patterns, and policy implications. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174176. [PMID: 38925390 DOI: 10.1016/j.scitotenv.2024.174176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 06/03/2024] [Accepted: 06/19/2024] [Indexed: 06/28/2024]
Abstract
High aerosol loadings are observed not only in megacities on continents but also in oceanic regions like the Bohai Sea. This work provides a comprehensive analysis of the spatial and temporal variations in Aerosol Optical Depth (AOD) across different ocean regions worldwide over the past four decades, using remote sensing reanalysis data. The mean AOD value across all oceanic grids is approximately 0.112, with higher levels recorded in the Central Atlantic (~0.206), followed by the North Indian Ocean (~0.201), and the Western North Pacific (~0.197). A latitudinal analysis reveals that high AOD values are predominantly found in the Northern Hemisphere's oceanic regions, especially between latitudes 0° and 70° N. Except for the Gulf of California and Hudson Bay, AOD values in the other fourteen surveyed inland seas surpass the mean levels found at similar latitudes in oceanic regions. Among which, the Bohai Sea stands out as the most polluted oceanic region with AOD value of 0.35. Over the last four decades, AOD trends have revealed a significant decrease across about 89.5 % of global oceanic grids, while an increase in AOD is observed in low-latitude oceanic areas (30° S-30° N). Investigation into inland seas shows that nearly two-thirds have experienced a declining AOD trend, while sharply upward trends in AOD are primarily found in Asia. The Bohai Sea shows the largest increase in AOD, with an annual growth rate of 1.4 %. The turning-points of the AOD in each inland sea confirm the success of regional emission control policies initiated on the adjacent continents. To improve air quality in inland seas like the Bohai Sea, adjusting industrial layouts, such as relocating heavy industries from the surrounding coastal cities' proximities to areas near open seas, could significantly benefit public health.
Collapse
Affiliation(s)
- Linxuan Li
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xuehan Wang
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xiaohui Bi
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Qili Dai
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Baoshuang Liu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Jianhui Wu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yufen Zhang
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yinchang Feng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
| |
Collapse
|
49
|
Kang J, Kim H, Jung JY, Huh JY, Ji HW, Lee SJ, Kim HC, Lee SW. Association between exposure to specific PM 2.5 constituents and environment, lifestyle, and clinical parameters in patients with COPD. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 38909289 DOI: 10.1080/09603123.2024.2368724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 06/11/2024] [Indexed: 06/24/2024]
Abstract
This study investigated the correlation between the individual chemical constituents of particulate matter 2.5 μm (PM2.5) and respiratory parameters as well as the living environment and daily behaviors in patients with chronic obstructive pulmonary disease (COPD). Data were obtained from prospective COPD panel conducted in South Korea. Following collection via a microPEM, 18 metallic elements were determined using energy-dispersive X-ray fluorescence spectroscopy. All participants completed detailed questionnaires on living environments and lifestyle practices. Eighty-nine stable COPD patients (mean age 68.1 years; 94.4% male) were analyzed. Several constituents (titanium, aluminum, bromine, and silicone) were significantly associated with respiratory outcomes. Copper and manganese concentrations were significantly associated with the living environment. Increased ventilation time and air purifier operation were associated with lower concentrations of copper, silicone, barium, and titanium. These findings suggest varying relationships between PM2.5 constituents and clinical parameters in COPD patients, providing a basis for personalized interventions and future research.
Collapse
Affiliation(s)
- Jieun Kang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea
| | - Hajeong Kim
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, Republic of Korea
| | - Ji Ye Jung
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin-Young Huh
- Division of Pulmonary, Allergy and Critical Care Medicine, Chung-Ang University Gwangmyeong Medical Center, Gwangmyeong, Korea
| | - Hyun Woo Ji
- Division of Pulmonology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Seon-Jin Lee
- Environmental Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Hwan-Cheol Kim
- Department of Occupational and Environmental Medicine, Inha University Hospital, Inha University College of Medicine, Incheon, Republic of Korea
| | - Sei Won Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
50
|
Liu X, Zhou J, Chen J, Li L, Yuan L, Li S, Sun X, Zhou X. Risk of Asthma and Allergies in Children Delivered by Cesarean Section: A Comprehensive Systematic Review. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2024:S2213-2198(24)00645-7. [PMID: 38908434 DOI: 10.1016/j.jaip.2024.06.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/24/2024] [Accepted: 06/10/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND It is unclear whether cesarean delivery increases the risk of allergic diseases in offspring. OBJECTIVE To investigate the association between cesarean delivery and the risk of allergic diseases in offspring. METHODS We searched PubMed, Embase, and the Cochrane Library for relevant studies up to October 12, 2023. Observational studies comparing the risk of allergic diseases in offspring delivered by cesarean section versus those delivered vaginally were included. Most-adjusted estimates from individual studies were synthesized by meta-analysis. RESULTS A total of 113 studies were included, 70 of which had a low risk of bias. Compared with offspring delivered vaginally, offspring delivered by cesarean section had significantly greater risks of asthma (odds ratio [OR] = 1.20; 95% CI, 1.16-1.25), allergic rhinitis or conjunctivitis (OR = 1.15' CI 1.09-1.22), atopic dermatitis or eczema (OR = 1.08; CI, 1.04-1.13), food allergies (OR = 1.35; CI, 1.18-1.54), and allergic sensitization (OR = 1.19; CI, 1.10-1.28). Cesarean delivery did not significantly increase urticaria risk. Sensitivity analyses including only studies with a low risk of bias, adjusted estimates, prospective data collection, large sample sizes, or outcomes from medical records generally supported these findings. Offspring age, study region latitude, economy type, and cesarean delivery rate accounted for some of the clinical heterogeneity. We found no data on allergic purpura. CONCLUSIONS Most-adjusted estimates suggest that cesarean delivery is associated with increased risks of asthma, allergic rhinitis or conjunctivitis, atopic dermatitis or eczema, food allergies, and allergic sensitization in offspring. The impact of cesarean delivery on urticaria and purpura remains uncertain.
Collapse
Affiliation(s)
- Xiaowu Liu
- Evidence-Based Medicine Research Center, Jiangxi University of Chinese Medicine, Jiangxi, China; Outcome Assessment Research Team in Chinese Medicine, Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangdong, China
| | - Jieyi Zhou
- Evidence-Based Medicine Research Center, Jiangxi University of Chinese Medicine, Jiangxi, China
| | - Jianrong Chen
- Department of Endocrinology and Metabolism, First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi, China
| | - Ling Li
- Chinese Evidence-Based Medicine Center and Chinese Cochrane Center, West China Hospital, Sichuan University, Chengdu, China
| | - Lixia Yuan
- Evidence-Based Medicine Research Center, Jiangxi University of Chinese Medicine, Jiangxi, China
| | - Shuqing Li
- Evidence-Based Medicine Research Center, Jiangxi University of Chinese Medicine, Jiangxi, China
| | - Xin Sun
- Evidence-Based Medicine Research Center, Jiangxi University of Chinese Medicine, Jiangxi, China; Chinese Evidence-Based Medicine Center and Chinese Cochrane Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Xu Zhou
- Evidence-Based Medicine Research Center, Jiangxi University of Chinese Medicine, Jiangxi, China.
| |
Collapse
|