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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.
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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.
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Yang L, Zheng J, Luo Y. The longitudinal association between adverse childhood experiences, childhood socioeconomic status, and lung function among middle-aged and older adults. CHILD ABUSE & NEGLECT 2024; 153:106858. [PMID: 38797117 DOI: 10.1016/j.chiabu.2024.106858] [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: 08/29/2023] [Revised: 03/01/2024] [Accepted: 05/15/2024] [Indexed: 05/29/2024]
Abstract
OBJECTIVES This study aims to investigate the association between adverse childhood experiences (ACEs), childhood socioeconomic status (SES) with lung function among general Chinese middle-aged and older adults. METHODS Participants at baseline were 9052 individuals aged 45 years old and above from the China Health and Retirement Longitudinal Study (CHARLS), a population-based cohort of Chinese adults. Analyses were conducted with data from three waves (2011, 2013, and 2015). The ACEs included five threat-related indicators (i.e., physical abuse, household substance abuse, domestic violence, unsafe neighborhood, and bullying) and five deprivation-related adversities (i.e., emotional neglect, household mental illness, incarcerated household member, parental separation or divorce, and parental death). The cumulative score of threat-related and deprivation-related ACEs was used for analysis. Lung function was assessed by peak expiratory flow (PEF). Two-level linear mixed growth models were used to evaluate the longitudinal association between and ACEs, childhood SES, and PEF. RESULTS Participants with more than three deprivation-related ACEs were significantly associated with lower PEF (b = -11.45 L/min, 95%CI: -18.40, -4.49) after adjusting for multiple confounding factors. Threat-related ACEs were not associated with PFF. Father's illiterate education predicted lower lung function (b = -8.49 L/min, 95%CI: -11.68, -5.31) for all middle-aged and older adults while mother's illiterate education was only significantly associated with PEF among the men (b = -9.21 L/min, 95%CI: -18.20, -0.22), and middle-aged adults (b = -7.96 L/min, 95%CI: -14.35, -1.57). DISCUSSION ACEs and disadvantaged childhood SES are important predictors of lower lung function during adulthood. Reducing ACEs and improving childhood SES may be beneficial for long-term health development.
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Affiliation(s)
- Lei Yang
- School of Public Administration, Beihang University, Beijing 100191, China; Charity and Social Innovation Studies, Beihang University, Beijing 100191, China
| | - Junhao Zheng
- School of Public Administration, Beihang University, Beijing 100191, China
| | - Yanan Luo
- Department of Global Health, School of Public Health, Peking University, Beijing 100191, China; Institute for Global Health and Development, Peking University.
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Iungman T, Khomenko S, Barboza EP, Cirach M, Gonçalves K, Petrone P, Erbertseder T, Taubenböck H, Chakraborty T, Nieuwenhuijsen M. The impact of urban configuration types on urban heat islands, air pollution, CO 2 emissions, and mortality in Europe: a data science approach. Lancet Planet Health 2024; 8:e489-e505. [PMID: 38969476 DOI: 10.1016/s2542-5196(24)00120-7] [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: 01/19/2024] [Revised: 04/25/2024] [Accepted: 05/20/2024] [Indexed: 07/07/2024]
Abstract
BACKGROUND The world is becoming increasingly urbanised. As cities around the world continue to grow, it is important for urban planners and policy makers to understand how different urban configuration patterns affect the environment and human health. However, previous studies have provided mixed findings. We aimed to identify European urban configuration types, on the basis of the local climate zones categories and street design variables from Open Street Map, and evaluate their association with motorised traffic flows, surface urban heat island (SUHI) intensities, tropospheric NO2, CO2 per person emissions, and age-standardised mortality. METHODS We considered 946 European cities from 31 countries for the analysis defined in the 2018 Urban Audit database, of which 919 European cities were analysed. Data were collected at a 250 m × 250 m grid cell resolution. We divided all cities into five concentric rings based on the Burgess concentric urban planning model and calculated the mean values of all variables for each ring. First, to identify distinct urban configuration types, we applied the Uniform Manifold Approximation and Projection for Dimension Reduction method, followed by the k-means clustering algorithm. Next, statistical differences in exposures (including SUHI) and mortality between the resulting urban configuration types were evaluated using a Kruskal-Wallis test followed by a post-hoc Dunn's test. FINDINGS We identified four distinct urban configuration types characterising European cities: compact high density (n=246), open low-rise medium density (n=245), open low-rise low density (n=261), and green low density (n=167). Compact high density cities were a small size, had high population densities, and a low availability of natural areas. In contrast, green low density cities were a large size, had low population densities, and a high availability of natural areas and cycleways. The open low-rise medium and low density cities were a small to medium size with medium to low population densities and low to moderate availability of green areas. Motorised traffic flows and NO2 exposure were significantly higher in compact high density and open low-rise medium density cities when compared with green low density and open low-rise low density cities. Additionally, green low density cities had a significantly lower SUHI effect compared with all other urban configuration types. Per person CO2 emissions were significantly lower in compact high density cities compared with green low density cities. Lastly, green low density cities had significantly lower mortality rates when compared with all other urban configuration types. INTERPRETATION Our findings indicate that, although the compact city model is more sustainable, European compact cities still face challenges related to poor environmental quality and health. Our results have notable implications for urban and transport planning policies in Europe and contribute to the ongoing discussion on which city models can bring the greatest benefits for the environment, climate, and health. FUNDING Spanish Ministry of Science and Innovation, State Research Agency, Generalitat de Catalunya, Centro de Investigación Biomédica en red Epidemiología y Salud Pública, and Urban Burden of Disease Estimation for Policy Making as a Horizon Europe project.
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Affiliation(s)
- Tamara Iungman
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Sasha Khomenko
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Evelise Pereira Barboza
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Marta Cirach
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Karen Gonçalves
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Paula Petrone
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Thilo Erbertseder
- German Aerospace Center, Earth Observation Center, Oberpfaffenhofen, Germany
| | - Hannes Taubenböck
- German Aerospace Center, Earth Observation Center, Oberpfaffenhofen, Germany; Institute for Geography and Geology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Tirthankar Chakraborty
- Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Mark Nieuwenhuijsen
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain.
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Liang W, Li R, Chen G, Ma H, Han A, Hu Q, Xie N, Wei J, Shen H, Wang X, Xiang H. Long-term exposure to ambient particulate matter is associated with prognosis in people living with HIV/AIDS: Evidence from a longitudinal study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172453. [PMID: 38641108 DOI: 10.1016/j.scitotenv.2024.172453] [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: 12/04/2023] [Revised: 02/24/2024] [Accepted: 04/11/2024] [Indexed: 04/21/2024]
Abstract
BACKGROUND Evidence on the association between particulate matter (PM) exposure and prognosis in people living with HIV/AIDS (PWHA) is scarce. We aim to investigate the associations of long-term exposure to PM with AIDS-related deaths and complications. METHODS We collected follow-up information on 7444 PWHAs from 2000 to 2021 from the HIV/AIDS Comprehensive Response Information Management System of the Wuhan Center for Disease Control and Prevention. The AIDS-related deaths and complications were assessed by physicians every 3 to 6 months, and the monthly average PM concentrations for each PWHA were extracted from the China High Air Pollutants dataset. We employed time-varying Cox regression models to evaluate the associations of the average cumulative PM exposure concentrations with AIDS-related deaths and complications, as well as the mediating effects of AIDS-related complications in PM-induced AIDS-related deaths. RESULTS For each 1 μg/m3 increase in PM1, PM2.5, and PM10, the adjusted hazard ratios (HRs) for AIDS-related deaths were 1.021 (1.009, 1.033), 1.012 (1.005, 1.020), and 1.010 (1.005, 1.015), respectively; and the HRs for AIDS-related complications were 1.049 (1.034, 1.064), 1.029 (1.020, 1.038), and 1.031 (1.024, 1.037), respectively. AIDS-related complications mediated 18.38 % and 18.68 % of the association of exposure to PM1 and PM2.5 with AIDS-related deaths, respectively. The association of PM exposure with AIDS-related deaths was more significant in older PWHA. Meanwhile, the association between PM exposure and AIDS-related complications was stronger in PWHA with a BMI ≥ 24 kg/m2. CONCLUSION Long-term exposure to PM is positively associated with AIDS-related deaths and complications, and AIDS-related complications have mediating effects in PM-induced AIDS-related deaths. Our evidence emphasizes that enhanced protection against PM exposure for PWHAs is an additional mitigation strategy to reduce AIDS-related deaths and complications.
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Affiliation(s)
- Wei Liang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Ruihan Li
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hongfei Ma
- Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan 430024, China
| | - Aojing Han
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Qilin Hu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Nianhua Xie
- Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan 430024, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, United States
| | - Huanfeng Shen
- School of Resource and Environmental Science, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Xia Wang
- Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan 430024, China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China.
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5
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Labib SM. Greenness, air pollution, and temperature exposure effects in predicting premature mortality and morbidity: A small-area study using spatial random forest model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172387. [PMID: 38608883 DOI: 10.1016/j.scitotenv.2024.172387] [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: 01/03/2024] [Revised: 04/08/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Although studies have provided negative impacts of air pollution, heat or cold exposure on mortality and morbidity, and positive effects of increased greenness on reducing them, a few studies have focused on exploring combined and synergetic effects of these exposures in predicting these health outcomes, and most had ignored the spatial autocorrelation in analyzing their health effects. This study aims to investigate the health effects of air pollution, greenness, and temperature exposure on premature mortality and morbidity within a spatial machine-learning modeling framework. METHODS Years of potential life lost reflecting premature mortality and comparative illness and disability ratio reflecting chronic morbidity from 1673 small areas covering Greater Manchester for the year 2008-2013 obtained. Average annual levels of NO2 concentration, normalized difference vegetation index (NDVI) representing greenness, and annual average air temperature were utilized to assess exposure in each area. These exposures were linked to health outcomes using non-spatial and spatial random forest (RF) models while accounting for spatial autocorrelation. RESULTS Spatial-RF models provided the best predictive accuracy when accounted for spatial autocorrelation. Among the exposures considered, air pollution emerged as the most influential in predicting mortality and morbidity, followed by NDVI and temperature exposure. Nonlinear exposure-response relations were observed, and interactions between exposures illustrated specific ranges or sweet and sour spots of exposure thresholds where combined effects either exacerbate or moderate health conditions. CONCLUSION Air pollution exposure had a greater negative impact on health compared to greenness and temperature exposure. Combined exposure effects may indicate the highest influence of premature mortality and morbidity burden.
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Affiliation(s)
- S M Labib
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, the Netherlands.
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Valdes-Devesa V, Sanz-Rosa D, Thuissard-Vasallo IJ, Andreu-Vázquez C, Sainz de la Cuesta R. Xenoestrogen concentration in women with endometriosis or leiomyomas: A case-control study. PLoS One 2024; 19:e0304766. [PMID: 38833439 PMCID: PMC11149880 DOI: 10.1371/journal.pone.0304766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 05/19/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND Xenoestrogens are synthetic or naturally occurring chemicals capable of altering the endocrine system of humans and animals owing to their molecular similarity to endogenous hormones. There is limited data regarding their effects on women´s health. Chronic exposure to xenoestrogens can promote the development of estrogen-related diseases. OBJECTIVES To examine xenoestrogen concentration (TEXB-α) differences between women with leiomyomas or endometriosis and control women, and to study the relationship between the clinical and sociodemographic characteristics of these patients and their xenoestrogen levels. METHODS Prospective case-control study. We selected 221 women who underwent surgery at Quironsalud Madrid University Hospital between 2017 and 2021. The cases included 117 patients: 74 women who underwent surgery for uterine leiomyomas, 21 with endometriosis, and 22 with both pathologies. The control group comprised 104 healthy women who underwent surgical procedures for other reasons. TEXB-α was determined in the omental fat of all patients. Using a questionnaire and reviewing the patients' medical records, we collected sociodemographic data and other relevant variables. RESULTS A significant majority of study participants (68.8%) had detectable levels of xenoestrogens. We found no association between TEXB-α levels in omental fat and the presence of myomas or endometriosis. In the case group, women living or working in Madrid Community exhibited, on average, 3.12 Eeq pM/g higher levels of TEXB-α compared to those working in other areas (p = 0.030). Women who referred to the use of estrogen-containing hormonal contraceptives had, on average, 3.02 Eeq pM/g higher levels of TEXB-α than those who had never used them (p = 0.022). CONCLUSIONS This study found no association between omental xenoestrogen levels and leiomyomas or endometriosis. However, their presence in most participants and their association with highly polluted areas emphasizes the importance of limiting environmental exposure to these substances. We also identified an association between hormonal contraceptive use and xenoestrogen concentration.
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Affiliation(s)
- Victoria Valdes-Devesa
- Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Villaviciosa de Odon, Madrid, Spain
- Department of Obstetrics & Gynecology, Hospital Universitario Quironsalud Madrid, Pozuelo de Alarcon, Madrid, Spain
| | - David Sanz-Rosa
- Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Villaviciosa de Odon, Madrid, Spain
| | - Israel J. Thuissard-Vasallo
- Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Villaviciosa de Odon, Madrid, Spain
| | - Cristina Andreu-Vázquez
- Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Villaviciosa de Odon, Madrid, Spain
| | - Ricardo Sainz de la Cuesta
- Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Villaviciosa de Odon, Madrid, Spain
- Department of Obstetrics & Gynecology, Hospital Universitario Quironsalud Madrid, Pozuelo de Alarcon, Madrid, Spain
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Hu Y, Wang Y, Zhao Z, Zhao B. Reconsidering gas as clean energy: Switching to electricity for household cooking to reduce NO 2-attributed disease burden. ECO-ENVIRONMENT & HEALTH 2024; 3:174-182. [PMID: 38638171 PMCID: PMC11021829 DOI: 10.1016/j.eehl.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 10/17/2023] [Accepted: 10/25/2023] [Indexed: 04/20/2024]
Abstract
Nitrogen dioxide (NO2) is a prevalent air pollutant in urban areas, originating from outdoor sources, household gas consumption, and secondhand smoke. The limited evaluation of the disease burden attributable to NO2, encompassing different health effects and contributions from various sources, impedes our understanding from a public health perspective. Based on modeled NO2 exposure concentrations, their exposure-response relationships with lung cancer, chronic obstructive pulmonary disease, and diabetes mellitus, and baseline disability-adjusted life years (DALYs), we estimated that 1,675 (655-2,624) thousand DALYs were attributable to NO2 in urban China in 2019 [138 (54-216) billion Chinese yuan (CNY) economic losses]. The transition from gas to electricity for household cooking was estimated to reduce the attributable economic losses by 35%. This reduction falls within the range of reductions achieved when outdoor air meets the World Health Organization interim target 3 and air quality guidelines for annual NO2, highlighting the significance of raising awareness of gas as a polluting household energy for cooking. These findings align with global sustainable development initiatives, providing a sustainable solution to promote public health while potentially mitigating climate change.
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Affiliation(s)
- Ying Hu
- Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Ye Wang
- Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Zhuohui Zhao
- School of Public Health, Fudan University, Shanghai 200433, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200433, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai 200433, China
| | - Bin Zhao
- Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing 100084, China
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Tota M, Karska J, Kowalski S, Piątek N, Pszczołowska M, Mazur K, Piotrowski P. Environmental pollution and extreme weather conditions: insights into the effect on mental health. Front Psychiatry 2024; 15:1389051. [PMID: 38863619 PMCID: PMC11165707 DOI: 10.3389/fpsyt.2024.1389051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 05/13/2024] [Indexed: 06/13/2024] Open
Abstract
Environmental pollution exposures, including air, soil, water, light, and noise pollution, are critical issues that may implicate adverse mental health outcomes. Extreme weather conditions, such as hurricanes, floods, wildfires, and droughts, may also cause long-term severe concerns. However, the knowledge about possible psychiatric disorders associated with these exposures is currently not well disseminated. In this review, we aim to summarize the current knowledge on the impact of environmental pollution and extreme weather conditions on mental health, focusing on anxiety spectrum disorders, autism spectrum disorders, schizophrenia, and depression. In air pollution studies, increased concentrations of PM2.5, NO2, and SO2 were the most strongly associated with the exacerbation of anxiety, schizophrenia, and depression symptoms. We provide an overview of the suggested underlying pathomechanisms involved. We highlight that the pathogenesis of environmental pollution-related diseases is multifactorial, including increased oxidative stress, systematic inflammation, disruption of the blood-brain barrier, and epigenetic dysregulation. Light pollution and noise pollution were correlated with an increased risk of neurodegenerative disorders, particularly Alzheimer's disease. Moreover, the impact of soil and water pollution is discussed. Such compounds as crude oil, heavy metals, natural gas, agro-chemicals (pesticides, herbicides, and fertilizers), polycyclic or polynuclear aromatic hydrocarbons (PAH), solvents, lead (Pb), and asbestos were associated with detrimental impact on mental health. Extreme weather conditions were linked to depression and anxiety spectrum disorders, namely PTSD. Several policy recommendations and awareness campaigns should be implemented, advocating for the advancement of high-quality urbanization, the mitigation of environmental pollution, and, consequently, the enhancement of residents' mental health.
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Affiliation(s)
- Maciej Tota
- Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Julia Karska
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Szymon Kowalski
- Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Natalia Piątek
- Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland
| | | | - Katarzyna Mazur
- Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Patryk Piotrowski
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
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9
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Zhu R, Luo W, Grieneisen ML, Zuoqiu S, Zhan Y, Yang F. A novel approach to deriving the fine-scale daily NO 2 dataset during 2005-2020 in China: Improving spatial resolution and temporal coverage to advance exposure assessment. ENVIRONMENTAL RESEARCH 2024; 249:118381. [PMID: 38331142 DOI: 10.1016/j.envres.2024.118381] [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: 12/02/2023] [Revised: 01/22/2024] [Accepted: 01/30/2024] [Indexed: 02/10/2024]
Abstract
Surface NO2 pollution can result in serious health consequences such as cardiovascular disease, asthma, and premature mortality. Due to the extensive spatial variation in surface NO2, the spatial resolution of a NO2 dataset has a significant impact on the exposure and health impact assessment. There is currently no long-term, high-resolution, and publicly available NO2 dataset for China. To fill this gap, this study generated a NO2 dataset named RBE-DS-NO2 for China during 2005-2020 at 1 km and daily resolution. We employed the robust back-extrapolation via a data augmentation approach (RBE-DA) to ensure the predictive accuracy in back-extrapolation before 2013, and utilized an improved spatial downscaling technique (DS) to refine the spatial resolution from 10 km to 1 km. Back-extrapolation validation based on 2005-2012 observations from sites in Taiwan province yielded an R2 of 0.72 and RMSE of 10.7 μg/m3, while cross-validation across China during 2013-2020 showed an R2 of 0.73 and RMSE of 9.6 μg/m3. RBE-DS-NO2 better captured spatiotemporal variation of surface NO2 in China compared to the existing publicly available datasets. Exposure assessment using RBE-DS-NO2 show that the population living in non-attainment areas (NO2 ≥ 30 μg/m3) grew from 376 million in 2005 to 612 million in 2012, then declined to 404 million by 2020. Unlike this national trend, exposure levels in several major cities (e.g., Shanghai and Chengdu) continued to increase during 2012-2020, driven by population growth and urban migration. Furthermore, this study revealed that low-resolution dataset (i.e., the 10 km intermediate dataset before the downscaling) overestimated NO2 levels, due to the limited specificity of the low-resolution model in simulating the relationship between NO2 and the predictor variables. Such limited specificity likely biased previous long-term NO2 exposure and health impact studies employing low-resolution datasets. The RBE-DS-NO2 dataset enables robust long-term assessments of NO2 exposure and health impacts in China.
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Affiliation(s)
- Rongxin Zhu
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, 610065, China; College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, Sichuan, 610065, China
| | - Wenfeng Luo
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, 610065, China
| | - Michael L Grieneisen
- Department of Land, Air, and Water Resources, University of California, Davis, CA, 95616, United States
| | - Sophia Zuoqiu
- Pittsburgh Institute, Sichuan University, Chengdu, Sichuan, 610207, China
| | - Yu Zhan
- College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, Sichuan, 610065, China.
| | - Fumo Yang
- College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, Sichuan, 610065, China
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10
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Buiculescu V, Dinu LA, Veca LM, Pârvulescu C, Mihai M, Brîncoveanu O, Comănescu F, Brașoveanu C, Stoian M, Baracu AM. The development of sensitive graphene-based surface acoustic wave sensors for NO 2 detection at room temperature. Mikrochim Acta 2024; 191:323. [PMID: 38730192 DOI: 10.1007/s00604-024-06397-y] [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: 02/06/2024] [Accepted: 04/28/2024] [Indexed: 05/12/2024]
Abstract
Bilayer graphene (Bl-Gr) and sulphur-doped graphene (S-Gr) have been integrated with LiTaO3 surface acustic wave (SAW) sensors to enhance the performance of NO2 detection at room temperature. The sensitivity of the Bl-Gr SAW sensors toward NO2, measured at room temperature, was 0.29º/ppm, with a limit of detection of 0.068 ppm. The S-Gr SAW sensors showed 0.19º/ppm sensitivity and a limit of detection of 0.140 ppm. The origin of these high sensitivities was attributed to the mass loading and elastic effects of the graphene-based sensing materials, with surface changes caused by the absorption of the NO2 molecules on the sensing films. Although there are no significant differences regarding the sensitivity and detection limit of the two types of sensors, the measurements in the presence of interferent gases and various humidity conditions outlined much better selectivity and sensing performances towards NO2 gas for the Bl-Gr SAW sensors.
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Affiliation(s)
- Valentin Buiculescu
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Livia Alexandra Dinu
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Lucia Monica Veca
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Cătălin Pârvulescu
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Madalina Mihai
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Oana Brîncoveanu
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Florin Comănescu
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Costin Brașoveanu
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Marius Stoian
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania
| | - Angela Mihaela Baracu
- National Institute for Research and Development in Microtechnologies (IMT Bucharest), 126A Erou Iancu Nicolae Street, 077190, Voluntari (Ilfov), Romania.
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11
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Van Brusselen D, De Troeyer K, van Vliet MP, Avonts D, Nemery B, Liesenborghs L, Verhulst S, Van Herck K, De Bacquer D. Air pollution and bronchiolitis: a case-control study in Antwerp, Belgium. Eur J Pediatr 2024; 183:2431-2442. [PMID: 38470521 DOI: 10.1007/s00431-024-05493-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/17/2024] [Accepted: 02/20/2024] [Indexed: 03/14/2024]
Abstract
This case-control study aimed to investigate the association between short-term (1 to 5 days) and medium-term (31 days) exposure to air pollutants (PM2.5, PM10, BC, NO2) at home/daycare and the risk of 'severe bronchiolitis' (defined as 'requiring hospitalization for bronchiolitis') in children under 2 years in Antwerp, Belgium. We included 118 cases and 79 controls admitted to three general hospitals from October 2020 to June 2021. Exposure levels were predicted using an interpolation model based on fixed measuring stations. We used unconditional logistic regression analysis to assess associations, with adjustment for potential confounders. There were hardly any significant differences in the day-to-day air pollution values between cases and controls. Medium-term (31 days) exposure to PM2.5, PM10, and NO2 was however significantly higher in cases than controls in univariate analysis. Logistic regression revealed an association between severe bronchiolitis and interquartile range (IQR) increases of PM2.5 and PM10 at home and in daycare, as well as IQR increases of NO2 in daycare. Controls were however overrepresented in low pollution periods. Time-adjustment reduced the odds ratios significantly at home for PM2.5 and PM10 (aOR 1.54, 95%CI 0.51-4.65; and 2.69, 95%CI 0.94-7.69 respectively), and in daycare for. PM2.5 (aOR 2.43, 95%CI 0.58-10.1). However, the association between severe bronchiolitis and medium-term air pollution was retained in daycare for IQR increases of PM10 (aOR 5.13, 95%CI 1.24-21.28) and NO2 (aOR 3.88, 95%CI 1.56-9.61) in the time-adjusted model. Conclusion: This study suggests a possible link between severe bronchiolitis and medium-term (31 days) air pollution exposure (PM10 and NO2), particularly in daycare. Larger studies are warranted to confirm these findings. What is Known: • Bronchiolitis is a leading cause of hospitalization in infants globally and causes a yearly seasonal wave of admissions in paediatric departments worldwide. • Existing studies, mainly from the USA, show heterogeneous outcomes regarding the association between air pollution and bronchiolitis. What is New: • There is a possible link between severe bronchiolitis and medium-term (31 days) air pollution exposure (PM10 and NO2), particularly in daycare. • Larger studies are needed to validate these trends.
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Affiliation(s)
- Daan Van Brusselen
- Department of Paediatric Infectiology, ZAS Hospitals, Antwerp, Belgium.
- Department of Paediatrics, Antwerp University Hospital and Lab of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium.
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
| | - Katrien De Troeyer
- Department of Family Medicine and Population Health, Antwerp University, Antwerp, Belgium
| | - Marinus Pieter van Vliet
- Department of Paediatrics, Antwerp University Hospital and Lab of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | - Dirk Avonts
- Domus Medica, Chief Editor 'Huisarts Nu', Antwerp, Belgium
| | - Benoit Nemery
- Department of Public Health and Primary Care, University of Leuven, Louvain, Belgium
| | - Laurens Liesenborghs
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Stijn Verhulst
- Department of Paediatrics, Antwerp University Hospital and Lab of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | | | - Dirk De Bacquer
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
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12
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Corda MO, Charalampous P, Haagsma JA, Assunção R, Martins C. Mortality burden of cardiovascular disease attributable to ambient PM 2.5 exposure in Portugal, 2011 to 2021. BMC Public Health 2024; 24:1188. [PMID: 38678185 PMCID: PMC11055300 DOI: 10.1186/s12889-024-18572-0] [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: 01/08/2024] [Accepted: 04/11/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Exposure to high levels of environmental air pollution causes several health outcomes and has been associated with increased mortality, premature mortality, and morbidity. Ambient exposure to PM2.5 is currently considered the leading environmental risk factor globally. A causal relationship between exposure to PM2.5 and the contribution of this exposure to cardiovascular morbidity and mortality was already demonstrated by the American Heart Association. METHODS To estimate the burden of mortality attributable to environmental risk factors, a comparative risk assessment was performed, considering a "top-down" approach. This approach uses an existing estimate of mortality of the disease endpoint by all causes as a starting point. A population attributable fraction was calculated for the exposure to PM2.5the overall burden of IHD and stroke was multiplied by the PAF to determine the burden attributable to this risk factor. The avoidable burden was calculated using the potential impact fraction (PIF) and considering the WHO-AQG 2021 as an alternative scenario. RESULTS Between 2011 and 2021, the ambient exposure to PM2.5 resulted in a total of 288,862.7 IHD YLL and a total of 420,432.3 stroke YLL in Portugal. This study found a decreasing trend in the mortality burden attributable to PM2.5 exposure, for both males and females and different age-groups. For different regions of Portugal, the same trend was observed in the last years. The mortality burden attributable to long-term exposure to PM2.5 was mainly concentrated in Lisbon Metropolitan Area, North and Centre. Changes in the exposure limits to the WHO recommended value of exposure (WHO-AQG 2021) have a reduction in the mortality burden due to IHD and stroke attributable to PM2.5 exposure, in Portugal. CONCLUSION Between 2011 and 2021, approximately 22% and 23% of IHD and stroke deaths were attributable to PM2.5 exposure. Nevertheless, the mortality burden attributable to cardiovascular diseases has been decreasing in last years in Portugal. Our findings provide evidence of the impact of air pollution on human health, which are crucial for decision-making, at the national and regional level.
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Affiliation(s)
- Mariana O Corda
- NOVA National School of Public Health, Public Health Research Centre, NOVA University Lisbon, Lisbon, Portugal
| | - Periklis Charalampous
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Institute of Health and Society (IRSS), Université Catholique de Louvain, Brussels, Belgium
| | - Juanita A Haagsma
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ricardo Assunção
- Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, Almada, Portugal
- CESAM, Center for Environmental and Marine Studies, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Carla Martins
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal.
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13
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Hewitt RJ, Caramés E, Borge R. Is air pollution exposure linked to household income? Spatial analysis of Community Multiscale Air Quality Model results for Madrid. Heliyon 2024; 10:e27117. [PMID: 38439824 PMCID: PMC10909769 DOI: 10.1016/j.heliyon.2024.e27117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 02/06/2024] [Accepted: 02/23/2024] [Indexed: 03/06/2024] Open
Abstract
This study explores the potential correlation between income and exposure to air pollution for the city of Madrid, Spain and its neighboring municipalities. Madrid is a well-known European air pollution hotspot with a high mortality burden attributable to nitrogen dioxide (NO2) and fine particulate matter (PM2.5). Statistical analyses were carried out using electoral district level data on gross household income (GHI), and NO2 and PM2.5 concentrations in air obtained from a mesoscale air quality model for the study area. We applied linear regression, bivariate spatial correlation analysis, spatial autoregression and geographically weighted regression to explore the relationship between contaminants and income. Three different strategies were adopted to harmonize data for analysis. While some strategies suggested a link between income and air pollution, others did not, highlighting the need for multiple different approaches where uncertainty is high. Our findings offer important lessons for future spatial geographical studies of air pollution in cities worldwide. In particular we highlight the limitations of census-scale socio-economic data and the lack of non-model derived high-resolution air quality measurement data for many cities and offers lessons for policy makers on improving the integration of these types of essential public information.
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Affiliation(s)
- Richard J. Hewitt
- Institute of Economy, Geography and Demography, Centre for Human and Social Sciences, National Research Council (CSIC), C/ de Albasanz, 26, 28037, Madrid, Spain
- Transport and Territory Research Group (t-GIS), Department of Geography, Madrid Complutense University, 28040, Madrid, Spain
| | - Eduardo Caramés
- Observatorio para una Cultura del Territorio, C/ del Duque de Fernán Núñez, 2,1, 28012, Madrid, Spain
| | - Rafael Borge
- Escuela Técnica Superior de Ingenieros Industriales, Departamento de Ingeniería Química Industrial y del Medio Ambiente, Universidad Politécnica de Madrid (UPM), C/ José Gutiérrez Abascal, 2, 28006, Madrid, Spain
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14
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Li G, Aboubakri O, Soleimani S, Maleki A, Rezaee R, Safari M, Goudarzi G, Fatehi F. Estimation of PM 2.5 using high-resolution satellite data and its mortality risk in an area of Iran. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 38461371 DOI: 10.1080/09603123.2024.2325629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 02/26/2024] [Indexed: 03/11/2024]
Abstract
Satellite-based exposure of fine particulate matters has been seldom used as a predictor of mortality. PM2.5 was predicted using Aerosol Optical Depths (AOD) through a two-stage regression model. The predicted PM2.5 was corrected for the bias using two approaches. We estimated the impact by two different scenarios of PM2.5 in the model. We statistically found different distributions of the predicted PM2.5 over the region. Compared to the reference value (5 µg/m3), 90th and 95th percentiles had significant adverse effect on total mortality (RR 90th percentile:1.45; CI 95%: 1.08-1.95 and RR 95th percentile:1.53; CI 95%: 1.11-2.1). Nearly 1050 deaths were attributed to any range of the air pollution (unhealthy range), of which more than half were attributed to high concentration range. Given the adverse effect of extreme values compared to the both scenarios, more efforts are suggested to define local-specific reference values and preventive strategies.
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Affiliation(s)
- Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - Omid Aboubakri
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Samira Soleimani
- Student Research Committee, Department of Environmental Health Engineering, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Afshin Maleki
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Reza Rezaee
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Mahdi Safari
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Gholamreza Goudarzi
- Center for Climate Change and Health Research (CCCHR), Dezful University of Medical Sciences, Dezful, Iran
- Department of Environmental Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Fariba Fatehi
- Vice Chancellor for Research and Technology, Kurdistan University of Medical Sciences, Sanandaj, Iran
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15
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Rajagopalan S, Brook RD, Salerno PRVO, Bourges-Sevenier B, Landrigan P, Nieuwenhuijsen MJ, Munzel T, Deo SV, Al-Kindi S. Air pollution exposure and cardiometabolic risk. Lancet Diabetes Endocrinol 2024; 12:196-208. [PMID: 38310921 PMCID: PMC11264310 DOI: 10.1016/s2213-8587(23)00361-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/15/2023] [Accepted: 11/23/2023] [Indexed: 02/06/2024]
Abstract
The Global Burden of Disease assessment estimates that 20% of global type 2 diabetes cases are related to chronic exposure to particulate matter (PM) with a diameter of 2·5 μm or less (PM2·5). With 99% of the global population residing in areas where air pollution levels are above current WHO air quality guidelines, and increasing concern in regard to the common drivers of air pollution and climate change, there is a compelling need to understand the connection between air pollution and cardiometabolic disease, and pathways to address this preventable risk factor. This Review provides an up to date summary of the epidemiological evidence and mechanistic underpinnings linking air pollution with cardiometabolic risk. We also outline approaches to improve awareness, and discuss personal-level, community, governmental, and policy interventions to help mitigate the growing global public health risk of air pollution exposure.
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Affiliation(s)
- Sanjay Rajagopalan
- University Hospitals, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
| | - Robert D Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, MI, USA
| | - Pedro R V O Salerno
- University Hospitals, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | | | - Philip Landrigan
- Program for Global Public Health and the Common Good, Boston College, Boston, MA, USA; Centre Scientifique de Monaco, Monaco
| | | | - Thomas Munzel
- Department of Cardiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; German Center of Cardiovascular Research, Partner-Site Rhine-Main, Germany
| | - Salil V Deo
- Louis Stokes Cleveland VA Medical Center, Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Sadeer Al-Kindi
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX, USA
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16
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Jiřík V, Římanová V, Janulková T, Siemiatkowski G, Osrodka L, Krajny E. Lifetime losses due to cardiovascular and respiratory diseases attributable to air pollution in polluted and unpolluted areas. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:1525-1539. [PMID: 37356040 DOI: 10.1080/09603123.2023.2225426] [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: 05/12/2023] [Accepted: 06/12/2023] [Indexed: 06/27/2023]
Abstract
The article assesses differences in lifetime losses caused by premature deaths from cardiopulmonary disease in populations living in areas with different environmental burdens. The results provide different perspectives on data on total years lost and lifetime losses attributable to air pollution. Such lifetime losses in the industrial area related to cardiovascular causes of death are 7.6 or 5.1 years per male or female deceased, representing an average lifetime loss of 0.01907 years (i.e. 7 days) per 1 male or 0.01273 years (i.e. 4.6 days) per 1 female in the entire population. Losses related to cerebrovascular or respiratory causes of death are about 5.4 or 5.9 years per 1 deceased male or 3.9 or 5 years per 1 deceased female, respectively, which represents a loss of 0.00481 (1.8 days), or 0.00148 years (0.5 days) per 1 male or 0.00466 (1.7 days), or 0.00058 years (0.2 days) per 1 female.
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Affiliation(s)
- Vítězslav Jiřík
- Centre for Epidemiological Research, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Veronika Římanová
- Centre for Epidemiological Research, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Tereza Janulková
- Centre for Epidemiological Research, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | | | - Leszek Osrodka
- Centrum Badań i Rozwoju, Institute of Meteorology and Water Management National Research Institute, Warsaw, Poland
| | - Ewa Krajny
- Centrum Badań i Rozwoju, Institute of Meteorology and Water Management National Research Institute, Warsaw, Poland
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17
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Rojo J, Cervigón P, Ferencova Z, Cascón Á, Galán Díaz J, Romero-Morte J, Sabariego S, Torres M, Gutiérrez-Bustillo AM. Assessment of environmental risk areas based on airborne pollen patterns as a response to land use and land cover distribution. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123385. [PMID: 38242303 DOI: 10.1016/j.envpol.2024.123385] [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: 11/08/2023] [Revised: 01/12/2024] [Accepted: 01/16/2024] [Indexed: 01/21/2024]
Abstract
Allergic respiratory diseases are considered to be among the most important public health concerns, and pollen is the main cause of allergic respiratory diseases worldwide. However, the biological component of air quality is largely underestimated, and there is an important gap in the legislation in this area. The aims of this study were to characterise the occurrence and incidence of pollen exposure in relation to potential pollen sources and to delineate the main areas of aerobiological risk in the Madrid Autonomous Region based on homogeneous patterns of pollen exposure. This study uses the historical aerobiological database of the Madrid Region Palynological Network (central Spain) from ten pollen stations from 1994 to 2022, and the land-use information from the Corine Land Cover. Multiple clustering approaches were followed to group the sampling stations and subsequently all the 1 × 1km pixels for the Madrid Autonomous Region. The clustering dendrogram for land-use distribution was compared to the dendrogram for historical airborne pollen data. The two dendrograms showed a good alignment with a very high correlation (0.95) and very low entanglement (0.15), which indicates a close correspondence between the distribution of the potential pollen sources and the airborne pollen dynamics. Based on this knowledge, the Madrid Autonomous Region was divided into six aerobiological risk areas following a clear anthropogenic gradient in terms of the potential pollen sources that determine pollen exposure in the Madrid Region. Spatial regionalisation is a common practice in environmental risk assessment to improve the application of management plans and optimise the air quality monitoring networks. The risk areas proposed by scientific criteria in the Madrid Autonomous Region can be adjusted to other operational criteria following a framework equivalent to other air quality networks.
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Affiliation(s)
- Jesús Rojo
- Department of Pharmacology, Pharmacognosy and Botany, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain.
| | - Patricia Cervigón
- Department of Pharmacology, Pharmacognosy and Botany, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain.
| | | | - Ángel Cascón
- Department of Pharmacology, Pharmacognosy and Botany, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain.
| | - Javier Galán Díaz
- Department of Pharmacology, Pharmacognosy and Botany, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain; Department of Plant Biology and Ecology, University of Sevilla, Sevilla, Spain.
| | - Jorge Romero-Morte
- Department of Pharmacology, Pharmacognosy and Botany, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain.
| | - Silvia Sabariego
- Department of Biodiversity, Ecology and Evolution, University Complutense of Madrid, Madrid, Spain.
| | - Margarita Torres
- Department of Pharmacology, Pharmacognosy and Botany, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain.
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18
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Nieuwenhuijsen M, de Nazelle A, Garcia-Aymerich J, Khreis H, Hoffmann B. Shaping urban environments to improve respiratory health: recommendations for research, planning, and policy. THE LANCET. RESPIRATORY MEDICINE 2024; 12:247-254. [PMID: 37866374 DOI: 10.1016/s2213-2600(23)00329-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/17/2023] [Accepted: 08/24/2023] [Indexed: 10/24/2023]
Abstract
Urban areas carry a large burden of acute (infectious) and chronic respiratory diseases due to environmental conditions such as high levels of air pollution and high population densities. Car-dominated cities often lack walkable areas, which reduces opportunities for physical activity that are fundamentally important for healthy lungs. The already restricted amount of green space available-with often poorly selected plants-could produce pollen and subsequently provoke or worsen allergic diseases. Less affluent neighbourhoods often carry a larger respiratory disease burden. A multisectoral approach with more diverse policy measures and urban innovations is needed to reduce air pollution (eg, low emission zones), to increase public space for walking and cycling (eg, low traffic neighbourhoods, superblocks, 15-minute cities, and car-free cities), and to develop green cities (eg, planting of low-allergy trees). Stricter EU air quality guidelines can push these transformations to improve the respiratory health of citizens. Advocacy by medical respiratory societies can also make an important contribution to such changes.
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Affiliation(s)
- Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
| | - Audrey de Nazelle
- Centre for Environmental Policy, Imperial College London, London, UK
| | - Judith Garcia-Aymerich
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Haneen Khreis
- MRC Epidemiology Unit, Public Health Modelling Group, University of Cambridge, Cambridge, UK; School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Barbara Hoffmann
- Centre for Health and Society, Institute for Occupational, Social and Environmental Medicine, Heinrich-Heine-University of Duesseldorf, Duesseldorf, Germany
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19
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Wang J, Tan Y, Zhan L, Yang H, Li X, Gao F, Qiu S. Sustainable development of environmental protection talents training: Research on the behavior decision of government, university and enterprise under the background of evolutionary game. PLoS One 2024; 19:e0298548. [PMID: 38394217 PMCID: PMC10890725 DOI: 10.1371/journal.pone.0298548] [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: 12/05/2023] [Accepted: 01/25/2024] [Indexed: 02/25/2024] Open
Abstract
Environmental protection talents training (EPTT) is recognized as a key prerequisite for maintaining environmental sustainability, and in order to study the influence of each player on EPTT. This paper innovatively constructs a tripartite evolutionary game model of government, university and enterprise. The equilibrium points and evolutionary stabilization strategies of each participant are solved by replicating the dynamic equations, and the behaviors of each subject in EPTT are analyzed so as to clarify the behavioral characteristics and optimal strategies of the government's participation in EPTT. The results show that enterprises occupy a more important position in influencing government decisions. The government should reduce the financial incentives for enterprises and replace them with greater policy support. Meanwhile, the government should actively promote the cultivation mechanism that integrates universities and enterprises. The results of the study can provide a decision-making basis for the government to promote the sustainable development of EPTT.
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Affiliation(s)
- Jinxia Wang
- College of Resources and Safety, Chongqing Vocational Institute of Engineering, Chongqing, China
| | - Yunfeng Tan
- College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing, China
| | - Lingling Zhan
- General college, Chongqing Vocational Institute of Engineering, Chongqing, China
| | - Hongjun Yang
- College of Resources and Environment, Southwest University, Beibei, Chongqing, China
| | - Xieling Li
- College of Resources and Safety, Chongqing Vocational Institute of Engineering, Chongqing, China
| | - Fang Gao
- College of Resources and Safety, Chongqing Vocational Institute of Engineering, Chongqing, China
| | - Siyuan Qiu
- College of Resources and Safety, Chongqing Vocational Institute of Engineering, Chongqing, China
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20
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Vandeninden B, De Clercq EM, Devleesschauwer B, Otavova M, Bouland C, Faes C. Cluster pattern analysis of environmental stressors and quantifying their impact on all-cause mortality in Belgium. BMC Public Health 2024; 24:536. [PMID: 38378493 PMCID: PMC11218127 DOI: 10.1186/s12889-024-18011-0] [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: 04/11/2023] [Accepted: 02/06/2024] [Indexed: 02/22/2024] Open
Abstract
Environmental stress represents an important burden on health and leads to a considerable number of diseases, hospitalisations, and excess mortality. Our study encompasses a representative sample size drawn from the Belgian population in 2016 (n = 11.26 million, with a focus on n = 11.15 million individuals). The analysis is conducted at the geographical level of statistical sectors, comprising a total of n = 19,794 sectors, with a subset of n = 18,681 sectors considered in the investigation. We integrated multiple parameters at the finest spatial level and constructed three categories of environmental stress through clustering: air pollution, noise stress and stress related to specific land-use types. We observed identifiable patterns in the spatial distribution of stressors within each cluster category. We assessed the relationship between age-standardized all-cause mortality rates (ASMR) and environmental stressors. Our research found that especially very high air pollution values in areas where traffic is the dominant local component of air pollution (ASMR + 14,8%, 95% CI: 10,4 - 19,4%) and presence of industrial land (ASMR + 14,7%, 95% CI: 9,4 - 20,2%) in the neighbourhood are associated with an increased ASMR. Cumulative exposure to multiple sources of unfavourable environmental stress (simultaneously high air pollution, high noise, presence of industrial land or proximity of primary/secondary roads and lack of green space) is associated with an increase in ASMR (ASMR + 26,9%, 95% CI: 17,1 - 36,5%).
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Affiliation(s)
- Bram Vandeninden
- School of Public Health, Université Libre de Bruxelles, Brussels, Belgium.
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
- Department of Chemical and Physical Health Risks, Sciensano, Brussels, Belgium.
| | - Eva M De Clercq
- Department of Chemical and Physical Health Risks, Sciensano, Brussels, Belgium
| | - Brecht Devleesschauwer
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Martina Otavova
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Center for Demographic Research, UCLouvain, Louvain-La-Neuve, Belgium
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Data Science, Diepenbeek, Hasselt, Belgium
| | - Catherine Bouland
- School of Public Health, Université Libre de Bruxelles, Brussels, Belgium
| | - Christel Faes
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Data Science, Diepenbeek, Hasselt, Belgium
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21
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Sandström H, Rissanen M, Rousu J, Rinke P. Data-Driven Compound Identification in Atmospheric Mass Spectrometry. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306235. [PMID: 38095508 PMCID: PMC10885664 DOI: 10.1002/advs.202306235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/04/2023] [Indexed: 02/24/2024]
Abstract
Aerosol particles found in the atmosphere affect the climate and worsen air quality. To mitigate these adverse impacts, aerosol particle formation and aerosol chemistry in the atmosphere need to be better mapped out and understood. Currently, mass spectrometry is the single most important analytical technique in atmospheric chemistry and is used to track and identify compounds and processes. Large amounts of data are collected in each measurement of current time-of-flight and orbitrap mass spectrometers using modern rapid data acquisition practices. However, compound identification remains a major bottleneck during data analysis due to lacking reference libraries and analysis tools. Data-driven compound identification approaches could alleviate the problem, yet remain rare to non-existent in atmospheric science. In this perspective, the authors review the current state of data-driven compound identification with mass spectrometry in atmospheric science and discuss current challenges and possible future steps toward a digital era for atmospheric mass spectrometry.
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Affiliation(s)
- Hilda Sandström
- Department of Applied Physics, Aalto University, P.O. Box 11000, FI-00076, Aalto, Espoo, Finland
| | - Matti Rissanen
- Aerosol Physics Laboratory, Tampere University, FI-33720, Tampere, Finland
- Department of Chemistry, University of Helsinki, P.O. Box 55, A.I. Virtasen aukio 1, FI-00560, Helsinki, Finland
| | - Juho Rousu
- Department of Computer Science, Aalto University, P.O. Box 11000, FI-00076, Aalto, Espoo, Finland
| | - Patrick Rinke
- Department of Applied Physics, Aalto University, P.O. Box 11000, FI-00076, Aalto, Espoo, Finland
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22
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Śmiłowska K, Pietrzykowski T, Owczarek AJ, Dorsey ER, Bloem BR, van Wamelen DJ. The Prevalence of Parkinson's Disease in Poland: Regional and Sex-Related Differences. JOURNAL OF PARKINSON'S DISEASE 2024; 14:521-532. [PMID: 38457147 DOI: 10.3233/jpd-230291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
Background Given the growing evidence for an environmental contribution to the etiology of Parkinson's disease (PD), searching for local and regional differences in PD prevalence in multiple areas across the world may further clarify the role of environmental toxins. Objective To provide local and regional prevalence estimates of PD in Poland. Methods We analyzed the prevalence of PD and its trend over the last decade (2010 to 2019) based on data from the National Health Fund in Poland. We specifically examined sex differences in PD prevalence, as well as differences across Polish regions. Results During the above period, the prevalence of PD in Poland increased from 226 per 100,000 to 269 per 100,000 inhabitants. Unexpectedly, we found that PD was 1.2-times more common in women than men. The increase in prevalence over the past decade was different between both sexes: an increase from 250 to 283 per 100,000 for women (13.3% increase), and from 200 to 254 per 100,000 for men (27.1% increase). In addition, we observed differences in prevalence across different Polish regions, with some regions having up to 51% lower prevalence rates than others. Conclusions The prevalence of PD in Poland is in line with previously reported prevalence rates across Europe. However, unlike the situation in most of the world, PD was more prevalent in women than men. We discuss several possible explanations as well as potential measures that might help to reduce the growth of PD.
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Affiliation(s)
- Katarzyna Śmiłowska
- Department of Neurology, 5th Regional Hospital in Sosnowiec, Poland
- Department of Neurology Centre of Expertise for Parkinson and Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Tomasz Pietrzykowski
- Faculty of Law and Administration, Research Centre for Public Policy and Regulatory Governance, University of Silesia in Katowice, Katowice, Poland
| | - Aleksander J Owczarek
- Department of Pathophysiology, Health Promotion and Obesity Management Unit,Medical University of Silesia, Katowice, Poland
| | - E Ray Dorsey
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Bastiaan R Bloem
- Department of Neurology Centre of Expertise for Parkinson and Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Daniel J van Wamelen
- Department of Neurology Centre of Expertise for Parkinson and Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
- Department of Neuroimaging, Institute of Psychiatry and Neuroscience, King's College London, London, UK
- Parkinson's Foundation Center of Excellence, King's College Hospital, Denmark Hill, London, UK
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23
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Lin C, Louie PKK, Lau AKH, Fung JCH, Yuan Z, Tao M, Zhang X, Hossain MS, Li C, Lao XQ. Net effect of air pollution controls on health risk in the Beijing-Tianjin-Hebei region during the 2022 winter Olympics and Paralympics. J Environ Sci (China) 2024; 135:560-569. [PMID: 37778827 DOI: 10.1016/j.jes.2022.10.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/01/2022] [Accepted: 10/07/2022] [Indexed: 10/03/2023]
Abstract
Due to the non-linearity in ozone (O3) formation, reducing the emission of nitrogen oxides (NOx) may increase O3 concentration. Given the counteractive O3 response to NOx reduction, overall impact of air pollution controls can be ambiguous when the assessments focus on the changes in pollutant concentrations. In this study, a risk-based method was used to gauge the net effect of air pollution controls on mortality risk in the Beijing-Tianjin-Hebei (BTH) region during the 2022 Winter Olympics and Paralympics (WOP). This mega-event presents a unique opportunity to investigate the efficacy of deep cuts in pollutant emissions. Results show that O3 concentrations greatly increased as nitrogen dioxide (NO2) concentrations decreased in the BTH. Due to the active photochemical formations, O3 became the dominant pollutant that affected human health during the WOP. Despite the substantial O3 increases, the health benefits of NO2 reductions overwhelmed the adverse health effects of O3 increases in most regions of the BTH (at 81 out of 112 stations). After considering the impacts of particulate matter, the integrated health risk of air pollution mixtures declined almost everywhere in the BTH. Our results underscore the great necessity of changing the assessment paradigm of pollution control from using concentration-based methods to using risk-based methods. Together with the carbon neutrality policy, stringent control of NOx emission from combustion sources is a promising way to achieve synergistic control solutions for air pollution and climate change.
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Affiliation(s)
- Changqing Lin
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Peter K K Louie
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China; Environmental Protection Department, Hong Kong Government SAR, Hong Kong, China
| | - Alexis K H Lau
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, The Hong Kong University of Science and Technology, Hong Kong, China.
| | - Jimmy C H Fung
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, The Hong Kong University of Science and Technology, Hong Kong, China; Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Zibing Yuan
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Minghui Tao
- Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
| | - Xuguo Zhang
- Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Md Shakhaoat Hossain
- Department of Public Health and Informatics, Jahangirnagar University, Dhaka 1342, Bangladesh
| | - Chengcai Li
- Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.
| | - Xiang Qian Lao
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
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24
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Simionescu M. Pollution and renewable energy consumption in the V4 countries. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:1954-1963. [PMID: 38049692 DOI: 10.1007/s11356-023-31223-y] [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: 08/23/2023] [Accepted: 11/20/2023] [Indexed: 12/06/2023]
Abstract
Considering quite high levels of pollution in V4 countries, the aim of this paper is to assess if renewable energy consumption reduces CO2 emissions in the period 1996-2022. The time series approach based on autoregressive distributed lag models (ARDL models) for each state in the sample indicated that renewable energy consumption reduced CO2 emissions, while GDP enhanced pollution. Foreign direct investment had no effect on environmental quality. Political stability had no impact on pollution in Poland and Hungary, while it reduced CO2 emissions in the Czech Republic and enhanced them in Slovakia. The results are subject to policy proposals.
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Affiliation(s)
- Mihaela Simionescu
- Faculty of Business and Administration, University of Bucharest, 4-12 Regina Elisabeta Blvd., District 3, Bucharest, Romania.
- Institute for Economic Forecasting, Romanian Academy, 13 Calea 13 Septembrie, District 5, Bucharest, Romania.
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25
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Zgłobicki W, Baran-Zgłobicka B. Air pollution in major Polish cities in the period 2005-2021: Intensity, effects and attempts to reduce it. ENVIRONMENTAL RESEARCH 2024; 240:117497. [PMID: 37914007 DOI: 10.1016/j.envres.2023.117497] [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: 09/13/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 11/03/2023]
Abstract
Air quality in Poland is among the lowest in Europe due to high emissions of harmful substances. This causes the development of diseases and leads to a high number of premature deaths. Particularly high pollution occurs in parts of urban areas. The most serious problem is unregulated emissions from buildings and vehicles. That is why it is so important to take action to improve air quality at the local level. The study assessed changes in the concentrations of NO2, O3, PM10, PM2.5 and benzo(a)pyrene in 11 major Polish cities between 2005 and 2021. In 2021 average levels were: NO2 - 25 μg/m3, O3 - 45 μg/m3, PM10 - 26 μg/m3, PM2.5 -17 μg/m3, benzo(a)pyrene - 2.1 ng/m3. The highest exceedances of WHO standards over the studied period were for PM2.5, followed by NO2 and PM10. The annual average levels fell by 17% for NO2 and by 18% for PM10 between 2005 and 2021, and by 34% for PM2.5 and 27% for benzo(a)pyrene between 2010 and 2021. The most polluted cities are Kraków, Katowice and Łódź. The highest concentrations of pollutants typically occurred in 2006 and 2011, the lowest in 2020. Strategic documents and programmes that formulate objectives for reducing emissions and improving air quality were evaluated. Policy documents enable numerous measures to improve air quality. Plans are not always effectively implemented due to a lack of formal tools and financial resources.
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Affiliation(s)
- Wojciech Zgłobicki
- Institute of Earth and Environmental Sciences, Maria Curie-Skłodowska University, Kraśnicka 2d, 20-718, Poland.
| | - Bogusława Baran-Zgłobicka
- Institute of Socio-Economic Geography and Spatial Management, Maria Curie-Skłodowska University, Kraśnicka 2d, 20-718, Lublin, Poland
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26
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Firincă C, Zamfir LG, Constantin M, Răut I, Capră L, Popa D, Jinga ML, Baroi AM, Fierăscu RC, Corneli NO, Postolache C, Doni M, Gurban AM, Jecu L, Șesan TE. Microbial Removal of Heavy Metals from Contaminated Environments Using Metal-Resistant Indigenous Strains. J Xenobiot 2023; 14:51-78. [PMID: 38249101 PMCID: PMC10801475 DOI: 10.3390/jox14010004] [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: 11/15/2023] [Revised: 12/19/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024] Open
Abstract
Contamination of soil with heavy metals has become a matter of global importance due to its impact on agriculture, environmental integrity, and therefore human health and safety. Several microbial strains isolated from soil contaminated by long-term chemical and petrochemical activities were found to manifest various levels of tolerance to Cr, Pb, and Zn, out of which Bacillus marisflavi and Trichoderma longibrachiatum exhibited above-moderate tolerance. The concentrations of target heavy metals before and after bioremediation were determined using electrochemical screen-printed electrodes (SPE) modified with different nanomaterials. The morpho-structural SEM/EDX analyses confirmed the presence of metal ions on the surface of the cell, with metal uptake being mediated by biosorption with hydroxyl, carboxyl, and amino groups as per FTIR observations. T. longibrachiatum was observed to pose a higher bioremediation potential compared to B. marisflavi, removing 87% of Cr and 67% of Zn, respectively. Conversely, B. marisflavi removed 86% of Pb from the solution, compared to 48% by T. longibrachiatum. Therefore, the fungal strain T. longibrachiatum could represent a viable option for Cr and Zn bioremediation strategies, whereas the bacterial strain B. marisflavi may be used in Pb bioremediation applications.
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Affiliation(s)
- Cristina Firincă
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
- Department of Botany and Microbiology, Faculty of Biology, University of Bucharest, 91–95 Spl. Independenței, 050095 Bucharest, Romania
| | - Lucian-Gabriel Zamfir
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Mariana Constantin
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
- Department of Pharmacy, Faculty of Pharmacy, University Titu Maiorescu of Bucharest, 040441 Bucharest, Romania
| | - Iuliana Răut
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Luiza Capră
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Diana Popa
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Maria-Lorena Jinga
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Anda Maria Baroi
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Radu Claudiu Fierăscu
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Nicoleta Olguța Corneli
- National Institute of Research and Development for Microbiology and Immunology—Cantacuzino, 103 Spl. Independenței, 050096 Bucharest, Romania
| | - Carmen Postolache
- Department of Botany and Microbiology, Faculty of Biology, University of Bucharest, 91–95 Spl. Independenței, 050095 Bucharest, Romania
| | - Mihaela Doni
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Ana-Maria Gurban
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Luiza Jecu
- Biotechnology and Bioanalysis Departments, National Institute of Research and Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independenței, 060021 Bucharest, Romania; (C.F.); (M.D.)
| | - Tatiana Eugenia Șesan
- Department of Botany and Microbiology, Faculty of Biology, University of Bucharest, 91–95 Spl. Independenței, 050095 Bucharest, Romania
- Field Crop Section, Academy of Agricultural and Forestry Sciences, Bd Mărăști 61, 011464 Bucharest, Romania
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Belis CA, Matkovic V, Ballocci M, Jevtic M, Millo G, Mata E, Van Dingenen R. Assessment of health impacts and costs attributable to air pollution in urban areas using two different approaches. A case study in the Western Balkans. ENVIRONMENT INTERNATIONAL 2023; 182:108347. [PMID: 38016386 DOI: 10.1016/j.envint.2023.108347] [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: 03/24/2023] [Revised: 10/12/2023] [Accepted: 11/21/2023] [Indexed: 11/30/2023]
Abstract
In this study, two different air quality impact assessment methodologies were adopted and combined with a sensitivity analysis to estimate the unit costs. Air pollution health impact (mortality) assessment was carried out using one methodology based on log-linear concentration response functions (CRF) and another relying on the integrated exposure response curve (IER) from the Global Burden of Disease. Morbidity impacts were estimated with the CRF approach only. To assess the inequalities between low and high income countries, an area of low-medium income countries with a critical air pollution situation, was selected. The health impact and related external costs attributable to air pollution in 2019 were assessed in 30 urban areas of the Western Balkans region, one of Europe's air pollution hot spots. The evaluation was based on PM2.5, O3 and NO2 concentrations in background sites from official monitoring networks. In 2019, the cost of mortality attributable to PM2.5 in 26 urban areas was 7.8 and 9.0 billion Euro according to IER and CRF methodologies, respectively. The cost of O3 associated with all-cause mortality estimated with the CRF methodology in 17 urban areas was 1.0 billion Euro while the one attributable to NO2 pollution in 28 urban areas was 1.5 billion Euro. The study results suggest that the economic burden of air pollution in the Western Balkans is higher in terms of GDP than the one observed in EU27 in the same time window. The study concludes that CRF and IER methodologies are coherent, because the discrepancy in the results are explained by the differences in the assessed health outcomes. The two approaches are complementary because the combination of them makes it possible to obtain a wider range of outcomes. In addition, despite the different causes of death considered, the comparison between them is useful for cross-validation.
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Affiliation(s)
- Claudio A Belis
- European Commission, Joint Research Centre, via Fermi 2749, 21027 Ispra, Italy.
| | - Vlatka Matkovic
- EUPHA Environment and Health Section, 3500 BN Utrecht, the Netherlands; Health and Environment Alliance, Avenue des Arts 7/8 1210 Brussels, Belgium
| | - Marta Ballocci
- European Commission, Joint Research Centre, via Fermi 2749, 21027 Ispra, Italy; University School for Advanced Studies Pavia, Piazza della Vittoria 15, 27100, Pavia, Italy; Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
| | - Marija Jevtic
- University of Novi Sad, Faculty of Medicine, Institute of Public Health of Vojvodina, Hajduk Veljkova 3, 21102 Novi Sad, Serbia; Université Libre de Bruxelles, Research Centre on Environmental and Occupational Health, School of Public Health, Belgium
| | - Giovanni Millo
- University of Trieste, Piazzale Europa 1, 34127 Trieste, Italy
| | - Elida Mata
- Department of Public Health Risk Assessment, Public Health Institute, Rr. A. Moisiu 80, Tirana, Albania
| | - Rita Van Dingenen
- European Commission, Joint Research Centre, via Fermi 2749, 21027 Ispra, Italy
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Rajfur M, Zinicovscaia I, Yushin N, Świsłowski P, Wacławek M. Moss-bag technique as an approach to monitor elemental concentration indoors. ENVIRONMENTAL RESEARCH 2023; 238:117137. [PMID: 37714364 DOI: 10.1016/j.envres.2023.117137] [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: 07/22/2023] [Revised: 09/04/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
The moss-bag technique has been used for many decades to monitor outdoor pollution. More recently, however, the method has been used to monitor indoor air pollution (IAP), as humans spend the majority of their time indoors. The purpose of the research conducted was to evaluate indoor air pollution using active moss biomonitoring. Pleurozium schreberi moss bags were exposed for two seasons (summer and winter), hanging over tile stoves and coal stoves. The selected elements: Al, Cu, Cd, Co, Pb, Zn, V, Ba, Cr, Fe, Mn, Sr, P, Ni, and S were determined by Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES) and, for Hg, by a direct mercury analyzer. The study found the exposure season affected the concentrations of selected elements in 62.5% of cases, and their source was identified. The average concentrations of Co, Ba, Cr, and Sr were higher, and statistically significant, in winter, after a 12-week exposure period of the mosses, regardless of the type of heating or cooking stove owned. The higher phosphorus concentrations obtained in summer indicate physiological stress caused by unfavorable winter exposure conditions. In the future, the number of species used to assess indoor air pollution should be increased and the range of pollutants expanded, along with the identification of their sources, taking residents' lifestyles into account.
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Affiliation(s)
- Małgorzata Rajfur
- Institute of Biology, University of Opole, Kominka St. 6, 6a, 45-032, Opole, Poland.
| | - Inga Zinicovscaia
- Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering, Bucharest Magurele, 30 Reactorului Str. MG-6, Bucharest, Romania; The Institute of Chemistry, 3 Academiei Str., 2028, Chisinau, Republic of Moldova
| | - Nikita Yushin
- Doctoral School Biological, Geonomic, Chemical and Technological Science, State University of Moldova, Alexei Mateevici Str. 60, MD-2009, Chisinau, Republic of Moldova
| | - Paweł Świsłowski
- Institute of Biology, University of Opole, Kominka St. 6, 6a, 45-032, Opole, Poland
| | - Maria Wacławek
- Society of Ecological Chemistry and Engineering, Zawiszaków St. 3/103, 45-288, Opole, Poland
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Anbari K, Sicard P, Omidi Khaniabadi Y, Raja Naqvi H, Rashidi R. Assessing the effect of COVID-19 pandemic on air quality change and human health outcomes in a capital city, southwestern Iran. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:1716-1727. [PMID: 36099327 DOI: 10.1080/09603123.2022.2120967] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/30/2022] [Indexed: 06/15/2023]
Abstract
The aimsof this study were to assess the spatial variation of PM2.5, NO2, and O3 between 2019 (before) and 2020 (during COVID-19 pandemic); and calculation the health outcomes of exposure to these pollutants. The daily PM2.5, NO2, and O3 concentrations were applied to assess health effects by relative risk, and baseline incidence. The annual PM2.5 and NO2 mean concentrations exceeded the WHO guideline values, while O3 did not exceed. The restrictive measures associated to COVID-19 led to reduction at the annual means of PM2.5 and NO2 by -25.5% and -23.1%, respectively, while the annual mean of O3 increased by +7.9%. The number of M-CVD and M-RD (-25.6%, -26.1%) related to PM2.5 exposure, and HA-COPD and HA-RD >65 years old (-21% and -3.84%) related to NO2 exposure were reduced in 2020, and O3 exposure-related M-CVD (+30.1%) and HA-RD >65 years old (+23.4%) increased compared to the previous year 2019.
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Affiliation(s)
- Khatereh Anbari
- Social Determinants of Health Research Center, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | | | - Yusef Omidi Khaniabadi
- Occupational and Environmental Health Research Center, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran
| | - Hasan Raja Naqvi
- Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India
| | - Rajab Rashidi
- Department of Occupational Health, Nutritional Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
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Huang WTK, Masselot P, Bou-Zeid E, Fatichi S, Paschalis A, Sun T, Gasparrini A, Manoli G. Economic valuation of temperature-related mortality attributed to urban heat islands in European cities. Nat Commun 2023; 14:7438. [PMID: 37978178 PMCID: PMC10656443 DOI: 10.1038/s41467-023-43135-z] [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: 01/04/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023] Open
Abstract
As the climate warms, increasing heat-related health risks are expected, and can be exacerbated by the urban heat island (UHI) effect. UHIs can also offer protection against cold weather, but a clear quantification of their impacts on human health across diverse cities and seasons is still being explored. Here we provide a 500 m resolution assessment of mortality risks associated with UHIs for 85 European cities in 2015-2017. Acute impacts are found during heat extremes, with a 45% median increase in mortality risk associated with UHI, compared to a 7% decrease during cold extremes. However, protracted cold seasons result in greater integrated protective effects. On average, UHI-induced heat-/cold-related mortality is associated with economic impacts of €192/€ - 314 per adult urban inhabitant per year in Europe, comparable to air pollution and transit costs. These findings urge strategies aimed at designing healthier cities to consider the seasonality of UHI impacts, and to account for social costs, their controlling factors, and intra-urban variability.
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Affiliation(s)
- Wan Ting Katty Huang
- Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK
- Met Office, Exeter, UK
| | - Pierre Masselot
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Elie Bou-Zeid
- Department of Civil and Environmental Engineering, Princeton University, Princeton, USA
| | - Simone Fatichi
- Department of Civil & Environmental Engineering, National University of Singapore, Singapore, Singapore
| | - Athanasios Paschalis
- Department of Civil & Environmental Engineering, Imperial College London, London, UK
| | - Ting Sun
- Institute for Risk and Disaster Reduction, University College London, London, UK
| | - Antonio Gasparrini
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
- Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Gabriele Manoli
- Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK.
- Laboratory of Urban and Environmental Systems, School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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Pereira Barboza E, Montana F, Cirach M, Iungman T, Khomenko S, Gallagher J, Thondoo M, Mueller N, Keune H, MacIntyre T, Nieuwenhuijsen M. Environmental health impacts and inequalities in green space and air pollution in six medium-sized European cities. ENVIRONMENTAL RESEARCH 2023; 237:116891. [PMID: 37595831 DOI: 10.1016/j.envres.2023.116891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/10/2023] [Accepted: 08/13/2023] [Indexed: 08/20/2023]
Abstract
BACKGROUND The GoGreenRoutes project aims to introduce co-created nature-based solutions (NBS) to enhance environmental quality in six medium-sized cities (Burgas, Lahti, Limerick, Tallinn, Umeå, and Versailles). We estimated the mortality and economic impacts attributed to suboptimal exposure to green space and air pollution, economic impacts, and the distribution thereof the adult population by socioeconomic status. METHODS We retrieved data from publicly accessible databases on green space (NDVI and % Green Area), air pollution (NO2 and PM2.5) and population (≥20 years, n = 804,975) at a 250m × 250m grid-cell level, and mortality for each city for 2015. We compared baseline exposures at the grid-cell to World Health Organization's recommendations and guidelines. We applied a comparative risk assessment to estimate the mortality burden attributable to not achieving the recommendations and guidelines. We estimated attributable mortality distributions and the association with income levels. RESULTS We found high variability in air pollution and green spaces levels. Around 60% of the population lacked green space and 90% were exposed to harmful air pollution. Overall, we estimated age-standardized mortality rates varying from 10 (Umeå) to 92 (Burgas) deaths per 100,000 persons attributable to low NDVI levels; 3 (Lahti) to 38 (Burgas) per 100,000 persons to lack of % Green Area; 1 (Umeå) to 88 (Tallinn) per 100,000 persons to exceedances of NO2 guidelines; and 1 (Umeå) to 206 (Burgas) per 100,000 persons to exceedances of PM2.5 guidelines. Lower income associated with higher or lower mortality impacts depending on whether deprived populations lived in the densely constructed, highly-trafficked city centre or greener, less polluted outskirts. CONCLUSIONS We attributed a considerable mortality burden to lack of green spaces and higher air pollution, which was unevenly distributed across different social groups. NBS and health-promoting initiatives should consider socioeconomic aspects to regenerate urban areas while providing equally good environments.
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Affiliation(s)
- Evelise Pereira Barboza
- Barcelona Institute for Global Health (ISGlobal), Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Spain; CIBER Epidemiología y Salud Pública, Spain
| | | | - Marta Cirach
- Barcelona Institute for Global Health (ISGlobal), Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Spain; CIBER Epidemiología y Salud Pública, Spain
| | - Tamara Iungman
- Barcelona Institute for Global Health (ISGlobal), Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Spain; CIBER Epidemiología y Salud Pública, Spain
| | - Sasha Khomenko
- Barcelona Institute for Global Health (ISGlobal), Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Spain; CIBER Epidemiología y Salud Pública, Spain
| | | | - Meelan Thondoo
- Barcelona Institute for Global Health (ISGlobal), Spain; University of Cambridge, United Kingdom
| | - Natalie Mueller
- Barcelona Institute for Global Health (ISGlobal), Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Spain; CIBER Epidemiología y Salud Pública, Spain
| | | | | | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Spain; CIBER Epidemiología y Salud Pública, Spain.
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Costabile F, Gualtieri M, Rinaldi M, Canepari S, Vecchi R, Massimi L, Di Iulio G, Paglione M, Di Liberto L, Corsini E, Facchini MC, Decesari S. Exposure to urban nanoparticles at low PM[Formula: see text] concentrations as a source of oxidative stress and inflammation. Sci Rep 2023; 13:18616. [PMID: 37903867 PMCID: PMC10616204 DOI: 10.1038/s41598-023-45230-z] [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: 05/16/2023] [Accepted: 10/17/2023] [Indexed: 11/01/2023] Open
Abstract
Exposures to fine particulate matter (PM[Formula: see text]) have been associated with health impacts, but the understanding of the PM[Formula: see text] concentration-response (PM[Formula: see text]-CR) relationships, especially at low PM[Formula: see text], remains incomplete. Here, we present novel data using a methodology to mimic lung exposure to ambient air (2[Formula: see text] 60 [Formula: see text]g m[Formula: see text]), with minimized sampling artifacts for nanoparticles. A reference model (Air Liquid Interface cultures of human bronchial epithelial cells, BEAS-2B) was used for aerosol exposure. Non-linearities observed in PM[Formula: see text]-CR curves are interpreted as a result of the interplay between the aerosol total oxidative potential (OP[Formula: see text]) and its distribution across particle size (d[Formula: see text]). A d[Formula: see text]-dependent condensation sink (CS) is assessed together with the distribution with d[Formula: see text] of reactive species . Urban ambient aerosol high in OP[Formula: see text], as indicated by the DTT assay, with (possibly copper-containing) nanoparticles, shows higher pro-inflammatory and oxidative responses, this occurring at lower PM[Formula: see text] concentrations (< 5 [Formula: see text]g m[Formula: see text]). Among the implications of this work, there are recommendations for global efforts to go toward the refinement of actual air quality standards with metrics considering the distribution of OP[Formula: see text] with d[Formula: see text] also at relatively low PM[Formula: see text].
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Affiliation(s)
- Francesca Costabile
- Institute of Atmospheric Sciences and Climate - Italian National Research Council (ISAC - CNR), Via Fosso del Cavaliere, 00133 Rome, Italy
- National Biodiversity Future Center, NBFC, 90133 Palermo, Italy
| | - Maurizio Gualtieri
- Department of Earth and Environmental Sciences, University of Milano-Bicocca, 26126 Milan, Italy
| | - Matteo Rinaldi
- National Biodiversity Future Center, NBFC, 90133 Palermo, Italy
- Institute of Atmospheric Sciences and Climate - Italian National Research Council (ISAC - CNR), Via Gobetti, 40129 Bologna, Italy
| | - Silvia Canepari
- Department of Environmental Biology, University of Rome Sapienza, 00185 Rome, Italy
| | - Roberta Vecchi
- Department of Physics, Università degli Studi di Milano,and INFN-Milan, 20133 Milan, Italy
| | - Lorenzo Massimi
- Department of Environmental Biology, University of Rome Sapienza, 00185 Rome, Italy
| | - Gianluca Di Iulio
- Institute of Atmospheric Sciences and Climate - Italian National Research Council (ISAC - CNR), Via Fosso del Cavaliere, 00133 Rome, Italy
| | - Marco Paglione
- National Biodiversity Future Center, NBFC, 90133 Palermo, Italy
- Institute of Atmospheric Sciences and Climate - Italian National Research Council (ISAC - CNR), Via Gobetti, 40129 Bologna, Italy
| | - Luca Di Liberto
- Institute of Atmospheric Sciences and Climate - Italian National Research Council (ISAC - CNR), Via Fosso del Cavaliere, 00133 Rome, Italy
| | - Emanuela Corsini
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, 20133 Milan, Italy
| | - Maria Cristina Facchini
- Institute of Atmospheric Sciences and Climate - Italian National Research Council (ISAC - CNR), Via Gobetti, 40129 Bologna, Italy
| | - Stefano Decesari
- National Biodiversity Future Center, NBFC, 90133 Palermo, Italy
- Institute of Atmospheric Sciences and Climate - Italian National Research Council (ISAC - CNR), Via Gobetti, 40129 Bologna, Italy
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Bouckaert N, Lefèvre M, Van den Heede K, Van de Voorde C. RSV Burden and Its Impact on Pediatric Inpatient Bed Occupancy in Belgium: An Analysis of National Hospital Claims Data. Pediatr Infect Dis J 2023; 42:857-861. [PMID: 37463354 DOI: 10.1097/inf.0000000000004038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
BACKGROUND Respiratory syncytial virus (RSV) infections represent a substantial burden on pediatric services during winter. While the morbidity and financial burden of RSV are well studied, less is known about the organizational impact on hospital services (ie, impact on bed capacity and overcrowding and variation across hospitals). METHODS Retrospective analysis of the population-wide Belgian Hospital Discharge Data Set for the years 2017 and 2018 (including all hospital sites with pediatric inpatient services), covering all RSV-associated (RSV-related International Classification of Diseases, 10th Version, Clinical Modification diagnoses) inpatient hospitalization by children under 5 years old as well as all-cause acute hospitalizations in pediatric wards. RESULTS RSV hospitalizations amount to 68.3 hospitalizations per 1000 children less than 1 year and 5.0 per 1000 children 1-4 years of age and are responsible for 20%-40% of occupied beds during the peak period (November-December). The mean bed occupancy rate over the entire year (2018) varies across hospitals from 22.8% to 85.1% and from 30.4% to 95.1% during the peak period. Small-scale pediatric services (<25 beds) are more vulnerable to the volatility of occupancy rates. Forty-six hospital sites have daily occupancy rates above 100% (median of 9 days). Only in 1 of 23 geographically defined hospital networks these high occupancy rates are on the same calendar days. CONCLUSIONS Pediatric services tend to be over-dimensioned to deal with peak activity mainly attributable to RSV. RSV immunization can substantially reduce pediatric capacity requirements. Enhanced collaboration in regional networks is an alternative strategy to deal with peaks and reduce capacity needs.
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Affiliation(s)
- Nicolas Bouckaert
- From the Belgian Health Care Knowledge Centre (KCE), Kruidtuinlaan, Brussels, Belgium
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de Souza Fernandes Duarte E, Salgueiro V, Costa MJ, Lucio PS, Potes M, Bortoli D, Salgado R. Fire-Pollutant-Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons. GEOHEALTH 2023; 7:e2023GH000802. [PMID: 37811341 PMCID: PMC10558046 DOI: 10.1029/2023gh000802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 06/02/2023] [Accepted: 06/23/2023] [Indexed: 10/10/2023]
Abstract
This study analyzed fire-pollutant-meteorological variables and their impact on cardio-respiratory mortality in Portugal during wildfire season. Data of burned area, particulate matter with a diameter of 10 or 2.5 μm (μm) or less (PM10, PM2.5), carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), temperature, relative humidity, wind speed, aerosol optical depth and mortality rates of Circulatory System Disease (CSD), Respiratory System Disease (RSD), Pneumonia (PNEU), Chronic Obstructive Pulmonary Disease, and Asthma (ASMA), were used. Only the months of 2011-2020 wildfire season (June-July-August-September-October) with a burned area greater than 1,000 ha were considered. Principal component analysis was used on fire-pollutant-meteorological variables to create two indices called Pollutant-Burning Interaction (PBI) and Atmospheric-Pollutant Interaction (API). PBI was strongly correlated with the air pollutants and burned area while API was strongly correlated with temperature and relative humidity, and O3. Cluster analysis applied to PBI-API divided the data into two Clusters. Cluster 1 included colder and wetter months and higher NO2 concentration. Cluster 2 included warmer and dried months, and higher PM10, PM2.5, CO, and O3 concentrations. The clusters were subjected to Principal Component Linear Regression to better understand the relationship between mortality and PBI-API indices. Cluster 1 showed statistically significant (p-value < 0.05) correlation (r) between RSDxPBI (r RSD = 0.58) and PNEUxPBI (r PNEU = 0.67). Cluster 2 showed statistically significant correlations between RSDxPBI (r RSD = 0.48), PNEUxPBI (r PNEU = 0.47), COPDxPBI (r COPD = 0.45), CSDxAPI (r CSD = 0.70), RSDxAPI (r CSD = 0.71), PNEUxAPI (r PNEU = 0.49), and COPDxAPI (r PNEU = 0.62). Cluster 2 analysis indicates that the warmest, driest, and most polluted months of the wildfire season were associated with cardio-respiratory mortality.
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Affiliation(s)
- Ediclê de Souza Fernandes Duarte
- Instituto de Ciências da Terra—ICT (Pólo de Évora)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Earth Remote Sensing Laboratory (EaRSLab)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Departamento de FísicaEscola de Ciências e Tecnologia (ECT)Universidade de ÉvoraÉvoraPortugal
| | - Vanda Salgueiro
- Instituto de Ciências da Terra—ICT (Pólo de Évora)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Earth Remote Sensing Laboratory (EaRSLab)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Departamento de FísicaEscola de Ciências e Tecnologia (ECT)Universidade de ÉvoraÉvoraPortugal
| | - Maria João Costa
- Instituto de Ciências da Terra—ICT (Pólo de Évora)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Earth Remote Sensing Laboratory (EaRSLab)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Departamento de FísicaEscola de Ciências e Tecnologia (ECT)Universidade de ÉvoraÉvoraPortugal
| | - Paulo Sérgio Lucio
- Departamento de Ciências Atmosféricas e ClimáticasUniversidade Federal do Rio Grande do NorteNatalBrazil
| | - Miguel Potes
- Instituto de Ciências da Terra—ICT (Pólo de Évora)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Earth Remote Sensing Laboratory (EaRSLab)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Departamento de FísicaEscola de Ciências e Tecnologia (ECT)Universidade de ÉvoraÉvoraPortugal
| | - Daniele Bortoli
- Instituto de Ciências da Terra—ICT (Pólo de Évora)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Earth Remote Sensing Laboratory (EaRSLab)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Departamento de FísicaEscola de Ciências e Tecnologia (ECT)Universidade de ÉvoraÉvoraPortugal
| | - Rui Salgado
- Instituto de Ciências da Terra—ICT (Pólo de Évora)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Earth Remote Sensing Laboratory (EaRSLab)Instituto de Investigação e Formação Avançada (IIFA)Universidade de ÉvoraÉvoraPortugal
- Departamento de FísicaEscola de Ciências e Tecnologia (ECT)Universidade de ÉvoraÉvoraPortugal
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Somboonsin P, Vardoulakis S, Canudas-Romo V. A comparative study of life-years lost attributable to air particulate matter in Asia-Pacific and European countries. CHEMOSPHERE 2023; 338:139420. [PMID: 37419148 DOI: 10.1016/j.chemosphere.2023.139420] [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: 03/15/2023] [Revised: 06/08/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
Air particulate matter (PM) and its harmful effects on human health are of great concern globally due to all-cause and cause-specific mortality impacts across different population groups. While Europe has made significant progress in reducing particulate air pollution-related mortality through innovative technologies and policies, many countries in Asia-Pacific region still rely on high-polluting technologies and have yet to implement effective policies to address this issue, resulting in higher levels of mortality due to air pollution in the region. This study has three aims related to quantifying life-years lost (LYL) attributable to PM, and further separated into ambient PM and household air pollution (HAP): (1) to investigate LYL by causes of death; (2) to compare LYL between Asia-Pacific (APAC) and Europe; and (3) to assess LYL across different socio-demographic index (SDI) countries. The data used come from the Institute for Health Metrics and Evaluation (IHME) and Health Effects Institute (HEI). Our results show that average LYL due to PM in APAC was greater than in Europe, with some Pacific island countries particularly affected by the exposure to HAP. Three quarters of LYL came from premature deaths by ischemic heart disease and stroke, in both continents. There were significant differences between SDI groups for causes of death due to ambient PM and HAP. Our findings call for urgent improvement of clean air to reduce indoor and outdoor air pollution-related mortality in the APAC region.
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Affiliation(s)
- Pattheera Somboonsin
- School of Demography, The Australian National University, Canberra, 2601, Australia.
| | - Sotiris Vardoulakis
- National Centre for Epidemiology and Population Health, The Australian National University, Canberra, 2601, Australia
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Gupta AD, Gupta T. A review on potential approach for in silico toxicity analysis of respirable fraction of ambient particulate matter. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:1216. [PMID: 37715017 DOI: 10.1007/s10661-023-11859-6] [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: 12/21/2022] [Accepted: 09/11/2023] [Indexed: 09/17/2023]
Abstract
Epidemiological and toxicological studies have shown the adverse effect of ambient particulate matter (PM) on respiratory and cardiovascular systems inside the human body. Various cellular and acellular assays in literature use indicators like ROS generation, cell inflammation, mutagenicity, etc., to assess PM toxicity and associated health effects. The presence of toxic compounds in respirable PM needs detailed studies for proper understanding of absorption, distribution, metabolism, and excretion mechanisms inside the body as it is difficult to accurately imitate or simulate these mechanisms in lab or animal models. The leaching kinetics of the lung fluid, PM composition, retention time, body temperature, etc., are hard to mimic in an artificial experimental setup. Moreover, the PM size fraction also plays an important role. For example, the ultrafine particles may directly enter systemic circulations while coarser PM10 may be trapped and deposited in the tracheo-bronchial region. Hence, interpretation of these results in toxicity models should be done judiciously. Computational models predicting PM toxicity are rare in the literature. The variable composition of PM and lack of proper understanding for their synergistic role inside the body are prime reasons behind it. This review explores different possibilities of in silico modeling and suggests possible approaches for the risk assessment of PM particles. The toxicity testing approach for engineered nanomaterials, drugs, food industries, etc., have also been investigated for application in computing PM toxicity.
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Affiliation(s)
- Aman Deep Gupta
- Atmospheric Particle Technology Lab at Centre for Environmental Science and Engineering and Department of Civil Engineering, Indian Institute of Technology Kanpur, Uttar Pradesh, Pin-208016, India
| | - Tarun Gupta
- Atmospheric Particle Technology Lab at Centre for Environmental Science and Engineering and Department of Civil Engineering, Indian Institute of Technology Kanpur, Uttar Pradesh, Pin-208016, India.
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Scognamiglio S, Marino M. Backtesting stochastic mortality models by prediction interval-based metrics. QUALITY & QUANTITY 2023; 57:3825-3847. [DOI: 10.1007/s11135-022-01537-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/17/2022] [Indexed: 09/02/2023]
Abstract
AbstractHuman lifespan increments represent one of the main current risks for governments and pension and health benefits providers. Longevity societies imply financial sustainability challenges to guarantee adequate socioeconomic conditions for all individuals for a longer period. Consequently, modelling population dynamics and projecting future longevity scenarios are vital tasks for policymakers. As an answer, the demographic and the actuarial literature have been introduced and compared to several stochastic mortality models, although few studies have thoroughly tested the uncertainty concerning mortality projections. Forecasting mortality uncertainty levels have a central role since they reveal the potential, unexpected longevity rise and the related economic impact. Therefore, the present study poses a methodological framework to backtest uncertainty in mortality projections by exploiting uncertainty metrics not yet adopted in mortality literature. Using the data from the Human Mortality Database of the male and female populations of five countries, we present some numerical applications to illustrate how the proposed criterion works. The results show that there is no mortality model overperforming the others in all cases, and the best model choice depends on the data considered.
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Xue Q, Liu X, Tian Y, Feng Y. Variations of inhalation risks during different heavy pollution episodes based on 3-year measurement of toxic components in size-segregated particles. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163234. [PMID: 37019225 DOI: 10.1016/j.scitotenv.2023.163234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/20/2023] [Accepted: 03/29/2023] [Indexed: 05/27/2023]
Abstract
Toxic metals (TMs) and polycyclic aromatic hydrocarbons (PAHs) in size-segregated particles during common days (CD) and different heavy pollution (HP) episodes were measured during 2018-2021 in a Chinese megacity. The Multiple Path Particle Dosimetry Model (MPPD) was performed to estimate deposition efficiency, and then inhalation risks in the human pulmonary region during different types of HP were assessed and compared. The higher pulmonary deposition efficiency of PAHs and TMs during all types of HP than those during CD was confirmed. The accumulative incremental lifetime cancer risk (ILCR) of different HP were 2.42 × 10-5, 1.52 × 10-5, 1.39 × 10-5, 1.30 × 10-5 and 2.94 × 10-6 for HP4 (combustion sources HP), HP1 (ammonium nitrate HP), HP5 (mixed sources HP), HP3 (resuspended dust HP) and HP2 (ammonium sulfate HP), respectively. The accumulative hazard quotient (HQ) during different HP episodes decreased in the order of HP4 (0.32) > HP3 (0.24) > HP1 (0.22) > HP5 (0.18) > HP2 (0.05). The inhalation risks were dominated by Ni and Cr, what's more, the HQ of Ni and ILCR of Cr during the five HP episodes shared a similar size distribution pattern. However, the characteristic components during different HP episodes and their size distributions of them were distinctive. The size distribution of inhalation risks of the related components (Ni, Cr, BaP, and As) from the combustion process during HP4 peaked at fine mode (0.65-2.1 μm). The size distribution of inhalation risks of the dust-related components (Mn and V) and the components (As and BaP) that are likely to volatilize and re-distribution peaked at coarse mode (2.1-3.3 μm) during HP3. Notably, Mn and Co as catalysts at fine mode could increase the degree of secondary formation and toxicity.
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Affiliation(s)
- Qianqian Xue
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xinyi Liu
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yingze Tian
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmos. Environ.-Health Research (CLAER/CMA-NKU), Tianjin 300350, China.
| | - Yinchang Feng
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmos. Environ.-Health Research (CLAER/CMA-NKU), Tianjin 300350, China
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Calatayud V, Diéguez JJ, Agathokleous E, Sicard P. Machine learning model to predict vehicle electrification impacts on urban air quality and related human health effects. ENVIRONMENTAL RESEARCH 2023; 228:115835. [PMID: 37019297 DOI: 10.1016/j.envres.2023.115835] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/31/2023] [Accepted: 04/01/2023] [Indexed: 05/16/2023]
Abstract
Air pollution is a prevailing environmental problem in cities worldwide. The future vehicle electrification (VE), which in Europe will be importantly fostered by the ban of thermal engines from 2035, is expected to have an important effect on urban air quality. Machine learning models represent an optimal tool for predicting changes in air pollutants concentrations in the context of future VE. For the city of Valencia (Spain), a XGBoost (eXtreme Gradient Boosting package) model was used in combination with SHAP (SHapley Additive exPlanations) analysis, both to investigate the importance of different factors explaining air pollution concentrations and predicting the effect of different levels of VE. The model was trained with 5 years of data including the COVID-19 lockdown period in 2020, in which mobility was strongly reduced resulting in unprecedent changes in air pollution concentrations. The interannual meteorological variability of 10 years was also considered in the analyses. For a 70% VE, the model predicted: 1) improvements in nitrogen dioxide pollution (-34% to -55% change in annual mean concentrations, for the different air quality stations), 2) a very limited effect on particulate matter concentrations (-1 to -4% change in annual means of PM2.5 and PM10), 3) heterogeneous responses in ground-level ozone concentrations (-2% to +12% change in the annual means of the daily maximum 8-h average concentrations). Even at a high VE increase of 70%, the 2021 World Health Organization Air Quality Guidelines will be exceeded for all pollutants in some stations. VE has a potentially important impact in terms of reducing NO2-associated premature mortality, but complementary strategies for reducing traffic and controlling all different air pollution sources should also be implemented to protect human health.
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Affiliation(s)
- V Calatayud
- Fundación CEAM, Parque Tecnológico, C/Charles R. Darwin, 14, Paterna, Spain.
| | - J J Diéguez
- Fundación CEAM, Parque Tecnológico, C/Charles R. Darwin, 14, Paterna, Spain
| | - E Agathokleous
- Institute of Ecology, Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - P Sicard
- ARGANS, 260 Route Du Pin Montard, Biot, France
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Khomenko S, Pisoni E, Thunis P, Bessagnet B, Cirach M, Iungman T, Barboza EP, Khreis H, Mueller N, Tonne C, de Hoogh K, Hoek G, Chowdhury S, Lelieveld J, Nieuwenhuijsen M. Spatial and sector-specific contributions of emissions to ambient air pollution and mortality in European cities: a health impact assessment. Lancet Public Health 2023; 8:e546-e558. [PMID: 37393093 DOI: 10.1016/s2468-2667(23)00106-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/11/2023] [Accepted: 05/16/2023] [Indexed: 07/03/2023]
Abstract
BACKGROUND Ambient air pollution is a major risk to health and wellbeing in European cities. We aimed to estimate spatial and sector-specific contributions of emissions to ambient air pollution and evaluate the effects of source-specific reductions in pollutants on mortality in European cities to support targeted source-specific actions to address air pollution and promote population health. METHODS We conducted a health impact assessment of data from 2015 for 857 European cities to estimate source contributions to annual PM2·5 and NO2 concentrations using the Screening for High Emission Reduction Potentials for Air quality tool. We evaluated contributions from transport, industry, energy, residential, agriculture, shipping, and aviation, other, natural, and external sources. For each city and sector, three spatial levels were considered: contributions from the same city, the rest of the country, and transboundary. Mortality effects were estimated for adult populations (ie, ≥20 years) following standard comparative risk assessment methods to calculate the annual mortality preventable on spatial and sector-specific reductions in PM2·5 and NO2. FINDINGS We observed strong variability in spatial and sectoral contributions among European cities. For PM2·5, the main contributors to mortality were the residential (mean contribution of 22·7% [SD 10·2]) and agricultural (18·0% [7·7]) sectors, followed by industry (13·8% [6·0]), transport (13·5% [5·8]), energy (10·0% [6·4]), and shipping (5·5% [5·7]). For NO2, the main contributor to mortality was transport (48·5% [SD 15·2]), with additional contributions from industry (15·0% [10·8]), energy (14·7% [12·9]), residential (10·3% [5·0]), and shipping (9·7% [12·7]). The mean city contribution to its own air pollution mortality was 13·5% (SD 9·9) for PM2·5 and 34·4% (19·6) for NO2, and contribution increased among cities of largest area (22·3% [12·2] for PM2·5 and 52·2% [19·4] for NO2) and among European capitals (29·9% [12·5] for PM2·5 and 62·7% [14·7] for NO2). INTERPRETATION We estimated source-specific air pollution health effects at the city level. Our results show strong variability, emphasising the need for local policies and coordinated actions that consider city-level specificities in source contributions. FUNDING Spanish Ministry of Science and Innovation, State Research Agency, Generalitat de Catalunya, Centro de Investigación Biomédica en red Epidemiología y Salud Pública, and Urban Burden of Disease Estimation for Policy Making 2023-2026 Horizon Europe project.
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Affiliation(s)
- Sasha Khomenko
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Enrico Pisoni
- European Commission, Joint Research Centre, Ispra, Italy
| | | | | | - Marta Cirach
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Tamara Iungman
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Evelise Pereira Barboza
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Haneen Khreis
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Natalie Mueller
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Cathryn Tonne
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | | | | | - Mark Nieuwenhuijsen
- Institute for Global Health, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain.
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Lu Z, Guan Y, Shao C, Niu R. Assessing the health impacts of PM 2.5 and ozone pollution and their comprehensive correlation in Chinese cities based on extended correlation coefficient. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115125. [PMID: 37331289 DOI: 10.1016/j.ecoenv.2023.115125] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/02/2023] [Accepted: 06/07/2023] [Indexed: 06/20/2023]
Abstract
The coordinated control of PM2.5 and ozone pollution is becoming more and more important in the current and next stage of Chinese environmental pollution control. Existing studies are unable to provide sufficient quantitative assessments of the correlation of PM2.5 and ozone pollution to support the coordinated control of the two air pollutants. This study develops a systematic method to comprehensively assess the correlation between PM2.5 and ozone pollution, including the evaluation of the impact of two air pollutants on human health and the extended correlation coefficient (ECC) for assessing the bivariate correlation index of PM2.5-ozone pollution in Chinese cities. According to the latest studies on epidemiology conducted in China, we take cardiovascular and cerebrovascular diseases and respiratory diseases as the ozone pollution's health burden when evaluating the health impact of ozone pollution. The results show that the health impact of PM2.5 in China decreases by 25.9 % from 2015 to 2021, while the health impact of ozone increases by 11.8 %. The ECC of 335 cities in China shows an increasing-decreasing trend but has generally increased from 2015 to 2021. The study provides important support for an in-depth understanding of the correlation and development trend of Chinese PM2.5 and ozone pollution by classifying the comprehensive PM2.5-ozone correlation performances of Chinese cities into four types. China or other countries will get better environmental benefits by implementing different coordinated management approaches for different correlative types of regions based on the assessment method in this study.
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Affiliation(s)
- Zhirui Lu
- College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yang Guan
- Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100041, China; The Center for Beautiful China, Chinese Academy of Environmental Planning, Beijing 100041, China
| | - Chaofeng Shao
- College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
| | - Ren Niu
- Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100041, China.
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Alli AS, Clark SN, Wang J, Bennett J, Hughes AF, Ezzati M, Brauer M, Nimo J, Bedford-Moses J, Baah S, Cavanaugh A, Agyei-Mensah S, Owusu G, Baumgartner J, Arku RE. High-resolution patterns and inequalities in ambient fine particle mass (PM 2.5) and black carbon (BC) in the Greater Accra Metropolis, Ghana. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 875:162582. [PMID: 36870487 PMCID: PMC10131145 DOI: 10.1016/j.scitotenv.2023.162582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/06/2023] [Accepted: 02/27/2023] [Indexed: 06/02/2023]
Abstract
Growing cities in sub-Saharan Africa (SSA) experience high levels of ambient air pollution. However, sparse long-term city-wide air pollution exposure data limits policy mitigation efforts and assessment of the health and climate effects. In the first study of its kind in West Africa, we developed high resolution spatiotemporal land use regression (LUR) models to map fine particulate matter (PM2.5) and black carbon (BC) concentrations in the Greater Accra Metropolitan Area (GAMA), one of the fastest sprawling metropolises in SSA. We conducted a one-year measurement campaign covering 146 sites and combined these data with geospatial and meteorological predictors to develop separate Harmattan and non-Harmattan season PM2.5 and BC models at 100 m resolution. The final models were selected with a forward stepwise procedure and performance was evaluated with 10-fold cross-validation. Model predictions were overlayed with the most recent census data to estimate the population distribution of exposure and socioeconomic inequalities in exposure at the census enumeration area level. The fixed effects components of the models explained 48-69 % and 63-71 % of the variance in PM2.5 and BC concentrations, respectively. Spatial variables related to road traffic and vegetation explained the most variability in the non-Harmattan models, while temporal variables were dominant in the Harmattan models. The entire GAMA population is exposed to PM2.5 levels above the World Health Organization guideline, including even the Interim Target 3 (15 μg/m3), with the highest exposures in poorer neighborhoods. The models can be used to support air pollution mitigation policies, health, and climate impact assessments. The measurement and modelling approach used in this study can be adapted to other African cities to bridge the air pollution data gap in the region.
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Affiliation(s)
- Abosede S Alli
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, USA
| | - Sierra N Clark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Jiayuan Wang
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, USA
| | - James Bennett
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Majid Ezzati
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Regional Institute for Population Studies, University of Ghana, Accra, Ghana
| | - Michael Brauer
- School of Population and Public Health, The University of British Columbia, Vancouver, Canada
| | - James Nimo
- Department of Physics, University of Ghana, Accra, Ghana
| | | | - Solomon Baah
- Department of Physics, University of Ghana, Accra, Ghana
| | | | - Samuel Agyei-Mensah
- Department of Geography and Resource Development, University of Ghana, Accra, Ghana
| | - George Owusu
- Institute of Statistical, Social & Economic Research, University of Ghana, Accra, Ghana
| | - Jill Baumgartner
- Institute for Health and Social Policy, McGill University, Montreal, Canada; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Raphael E Arku
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, USA.
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Kumar P, Singh AB, Arora T, Singh S, Singh R. Critical review on emerging health effects associated with the indoor air quality and its sustainable management. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 872:162163. [PMID: 36781134 DOI: 10.1016/j.scitotenv.2023.162163] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/05/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
Indoor air quality (IAQ) is one of the fundamental elements affecting people's health and well-being. Currently, there is a lack of awareness among people about the quantification, identification, and possible health effects of IAQ. Airborne pollutants such as volatile organic compounds (VOCs), particulate matter (PM), sulfur dioxide (SO2), carbon monoxide (CO), nitrous oxide (NO), polycyclic aromatic hydrocarbons (PAHs) microbial spores, pollen, allergens, etc. primarily contribute to IAQ deterioration. This review discusses the sources of major indoor air pollutants, molecular toxicity mechanisms, and their effects on cardiovascular, ocular, neurological, women, and foetal health. Additionally, contemporary strategies and sustainable methods for regulating and reducing pollutant concentrations are emphasized, and current initiatives to address and enhance IAQ are explored, along with their unique advantages and potentials. Due to their longer exposure times and particular physical characteristics, women and children are more at risk for poor indoor air quality. By triggering many toxicity mechanisms, including oxidative stress, DNA methylation, epigenetic modifications, and gene activation, indoor air pollution can cause a range of health issues. Low birth weight, acute lower respiratory tract infections, Sick building syndromes (SBS), and early death are more prevalent in exposed residents. On the other hand, the main causes of incapacity and early mortality are lung cancer, chronic obstructive pulmonary disease, and cardiovascular disorders. It's crucial to acknowledge anticipated research needs and implemented efficient interventions and policies to lower health hazards.
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Affiliation(s)
- Pradeep Kumar
- Department of Environmental Studies, Satyawati College, University of Delhi, Delhi 52, India
| | - A B Singh
- Institute of Genomics and Integrative Biology (IGIB), Mall Road Campus, Delhi 07, India
| | - Taruna Arora
- Division of Reproductive Biology, Maternal and Child Health, Indian Council of Medical Research, Ansari Nagar, New Delhi 110029, India
| | - Sevaram Singh
- Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad 121001, India; Jawaharlal Nehru University, New Mehrauli Road, New Delhi 110067, India
| | - Rajeev Singh
- Department of Environmental Studies, Satyawati College, University of Delhi, Delhi 52, India; Department of Environmental Science, Jamia Millia Islamia (A Central University), New Delhi 110025, India.
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Castro A, Künzli N, de Hoogh K, Kappeler R, Joss MK, Vienneau D, Röösli M. Mortality attributable to ambient fine particulate matter and nitrogen dioxide in Switzerland in 2019: Use of two-pollutant effect estimates. ENVIRONMENTAL RESEARCH 2023; 231:116029. [PMID: 37149029 DOI: 10.1016/j.envres.2023.116029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/19/2023] [Accepted: 05/01/2023] [Indexed: 05/08/2023]
Abstract
INTRODUCTION Air pollution health risk assessments have traditionally used single-pollutant effect estimates for one proxy ambient air pollutant such as PM2.5. Two-pollutant effect estimates, i.e. adjusted for another correlated pollutant, theoretically enable the aggregation of pollutant-specific health effects minimizing double-counting. Our study aimed at estimating the adult mortality in Switzerland in 2019 attributable to PM2.5 from a single-pollutant effect estimate and to the sum of PM2.5 and NO2 from two-pollutant estimates; comparing the results with those from alternative global, European and Swiss effect estimates. METHODS For the single-pollutant approach, we used a PM2.5 summary estimate of European cohorts from the project ELAPSE, recommended by the European Respiratory Society and International Society for Environmental Epidemiology (ERS-ISEE). To derive the two-pollutant effect estimates, we applied ELAPSE-based conversion factors to ERS-ISEE PM2.5 and NO2 single-pollutant effect estimates. Additionally, we used World Health Organization 2021 Air Quality Guidelines as counterfactual scenario, exposure model data from 2019 and Swiss lifetables. RESULTS The single-pollutant effect estimate for PM2.5 (1.118 [1.060; 1.179] per 10 μg/m3) resulted in 2240 deaths (21,593 years of life lost). Using our derived two-pollutant effect estimates (1.023 [1.012; 1.035] per 10 μg/m3 PM2.5 adjusted for NO2 and 1.040 [1.023; 1.058] per 10 μg/m3 NO2 adjusted for PM2.5), we found 1977 deaths (19,071 years of life lost) attributable to PM2.5 and NO2 together (23% from PM2.5). Deaths using alternative effect estimates ranged from 1042 to 5059. DISCUSSION Estimated premature mortality attributable to PM2.5 alone was higher than to both PM2.5 and NO2 combined. Furthermore, the proportion of deaths from PM2.5 was lower than from NO2 in the two-pollutant approach. These seemingly paradoxical results, also found in some alternative estimates, are due to statistical imprecisions of underlying correction methods. Therefore, using two-pollutant effect estimates can lead to interpretation challenges in terms of causality.
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Affiliation(s)
- Alberto Castro
- Swiss Tropical Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
| | - Nino Künzli
- Swiss Tropical Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Kees de Hoogh
- Swiss Tropical Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Ron Kappeler
- Swiss Tropical Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Meltem Kutlar Joss
- Swiss Tropical Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Swiss Tropical Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Martin Röösli
- Swiss Tropical Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
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Perafita X, Saez M. Housing Supply and How It Is Related to Social Inequalities-Air Pollution, Green Spaces, Crime Levels, and Poor Areas-In Catalonia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20085578. [PMID: 37107859 PMCID: PMC10138561 DOI: 10.3390/ijerph20085578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 04/04/2023] [Accepted: 04/11/2023] [Indexed: 05/11/2023]
Abstract
We carried out a search of over 12,000 houses offered on the rental market in Catalonia and assessed the possibility of families below the poverty threshold being able to rent these homes. In this regard, we wanted to evaluate whether the economic situation of families is able to influence their social environment, surroundings, and safety. We observed how their economic situation can allow families the possibility of developing a life without exposure to health risks, and how economic constraints result in disadvantages in several areas of life. The results show how families at risk of poverty live in less favourable conditions and experience a widening of different gaps, with current prices leading to a possible poverty trap for the most disadvantaged groups. The higher the percentage of the population below the threshold, the lower the possibility of not being able to rent a house compared to areas with a lower prevalence of population below the threshold. This association was observed both when considering the risk linearly and non-linearly. Linearly, the probability of not renting a house was reduced by 8.36% for each 1% increase in the prevalence of population at risk of extreme poverty. In the second, third and fourth percentage quartiles, the probability of not being able to rent a house decreased by 21.13%, 48.61%, and 57.79%, respectively. In addition, the effect was different inside and outside of metropolitan areas, with the former showing a decrease of 19.05% in the probability of renting a house, whereas outside metropolitan areas the probability increased by 5.70%.
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Affiliation(s)
- Xavier Perafita
- Observatori—Organisme Autònom de Salut Pública de la Diputació de Girona (Dipsalut), 17003 Girona, Spain
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain
| | - Marc Saez
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Correspondence:
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Święczkowski M, Dobrzycki S, Kuźma Ł. Multi-City Analysis of the Acute Effect of Polish Smog on Cause-Specific Mortality (EP-PARTICLES Study). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20085566. [PMID: 37107848 PMCID: PMC10139136 DOI: 10.3390/ijerph20085566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/23/2023] [Accepted: 02/27/2023] [Indexed: 05/11/2023]
Abstract
Polish smog is a specific type of air pollution present in Eastern Poland, which may cause particularly adverse cardiovascular effects. It is characterized primarily by high concentrations of particulate matter (PM) and different favorable conditions of formation. Our study aimed to assess whether PM and nitrogen dioxide (NO2) have a short-term impact on mortality due to acute coronary syndrome (ACS) and ischemic stroke (IS). The study covered the years 2016-2020, a total of 6 million person-years from five main cities in Eastern Poland. To evaluate the association between air pollution and cause-specific mortality, a case-crossover study design with conditional logistic regression was used at days with LAG from 0 to 2. We recorded 87,990 all-cause deaths, including 9688 and 3776 deaths due to ACS and IS, respectively. A 10 μg/m3 increase in air pollutants was associated with an increase in mortality due to ACS (PM2.5 OR = 1.029, 95%CI 1.011-1.047, p = 0.002; PM10 OR = 1.015, 95%CI 1-1.029, p = 0.049) on LAG 0. On LAG 1 we recorded an increase in both IS (PM2.5 OR = 1.03, 95%CI 1.001-1.058, p = 0.04) and ACS (PM2.5 OR = 1.028, 95%CI 1.01-1.047, p = 0.003; PM10 OR = 1.026, 95%CI 1.011-1.041, p = 0.001; NO2 OR = 1.036, 95%CI 1.003-1.07, p = 0.04). There was a strong association between air pollution and cause-specific mortality in women (ACS: PM2.5 OR = 1.032, 95%CI 1.006-1.058, p = 0.01; PM10 OR = 1.028, 95%CI 1.008-1.05, p = 0.01) and elderly (ACS: PM2.5 OR = 1.03, 95%CI 1.01-1.05, p = 0.003; PM10 OR = 1.027, 95% CI 1.011-1.043, p < 0.001 and IS: PM2.5 OR = 1.037, 95%CI 1.007-1.069, p = 0.01; PM10 OR = 1.025, 95%CI 1.001-1.05, p = 0.04). The negative influence of PMs was observed on mortality due to ACS and IS. NO2 was associated with only ACS-related mortality. The most vulnerable subgroups were women and the elderly.
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Xue T, Tong M, Wang M, Yang X, Wang Y, Lin H, Liu H, Li J, Huang C, Meng X, Zheng Y, Tong D, Gong J, Zhang S, Zhu T. Health Impacts of Long-Term NO 2 Exposure and Inequalities among the Chinese Population from 2013 to 2020. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:5349-5357. [PMID: 36959739 DOI: 10.1021/acs.est.2c08022] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Nitrogen dioxide (NO2) is associated with mortality and many other adverse health outcomes. In 2021, the World Health Organization established a new NO2 air quality guideline (AQG) (annual average <10 μg/m3). However, the burden of diseases attributable to long-term NO2 exposure above the AQG is unknown in China. Nitrogen oxide is a major air pollutant in populous cities, which are disproportionately impacted by NO2; this represents a form of environmental inequality. We conducted a nationwide risk assessment of premature deaths attributable to long-term NO2 exposure from 2013 to 2020 based on the exposure-response relationship, high-resolution annual NO2 concentrations, and gridded population data (considering sex, age, and residence [urban vs rural]). We calculated health metrics including attributable deaths, years of life lost (YLL), and loss of life expectancy (LLE). Inequality in the distribution of attributable deaths and YLLs was evaluated by the Lorenz curve and Gini index. According to the health impact assessments, in 2013, long-term NO2 exposure contributed to 315,847 (95% confidence interval [CI]: 306,709-319,269) premature deaths, 7.90 (7.68-7.99) million YLLs, and an LLE of 0.51 (0.50-0.52) years. The high-risk subgroup (top 20%) accounted for 85.7% of all NO2-related deaths and 85.2% of YLLs, resulting in Gini index values of 0.81 and 0.67, respectively. From 2013 to 2020, the estimated health impact from NO2 exposure was significantly reduced, but inequality displayed a slightly increasing trend. Our study revealed a considerable burden of NO2-related deaths in China, which were disproportionally frequent in a small high-risk subgroup. Future clean air initiatives should focus not only on reducing the average level of NO2 exposure but also minimizing inequality.
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Affiliation(s)
- Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
- Center for Environment and Health, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Mingkun Tong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York 14214, United States
- Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, New York 14214, United States
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98115, United States
| | - Xinyue Yang
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Yanying Wang
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Huan Lin
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Hengyi Liu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
| | - Jiajianghui Li
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
| | - Conghong Huang
- College of Land Management, Nanjing Agricultural University, Nanjing 210095, China
- National & Local Joint Engineering, Research Center for Rural Land Resources Use and Consolidation, Nanjing 210095, China
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Yixuan Zheng
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Dan Tong
- Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Jicheng Gong
- SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing 100871, China
| | - Shiqiu Zhang
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Tong Zhu
- SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing 100871, China
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Macintyre HL, Mitsakou C, Vieno M, Heal MR, Heaviside C, Exley KS. Impacts of emissions policies on future UK mortality burdens associated with air pollution. ENVIRONMENT INTERNATIONAL 2023; 174:107862. [PMID: 36963156 DOI: 10.1016/j.envint.2023.107862] [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: 01/14/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 06/18/2023]
Abstract
Air pollution is the greatest environmental risk to public health. Future air pollution concentrations are primarily determined by precursor emissions, which are driven by environmental policies relating to climate and air pollution. Detailed health impact assessments (HIA) are necessary to provide quantitative estimates of the impacts of future air pollution to support decision-makers developing environmental policy and targets. In this study we use high spatial resolution atmospheric chemistry modelling to simulate future air pollution concentrations across the UK for 2030, 2040 and 2050 based on current UK and European policy projections. We combine UK regional population-weighted concentrations with the latest epidemiological relationships to quantify mortality associated with changes in PM2.5 and NO2 air pollution. Our HIA suggests that by 2050, population-weighted exposure to PM2.5 will reduce by 28% to 36%, and for NO2 by 35% to 49%, depending on region. The HIA shows that for present day (2018), annual mortality attributable to the effects of long-term exposure to PM2.5 and NO2 is in the range 26,287 - 42,442, and that mortality burdens in future will be substantially reduced, being lower by 31%, 35%, and 37% in 2030, 2040 and 2050 respectively (relative to 2018) assuming no population changes. Including population projections (increases in all regions for 30+ years age group) slightly offsets these health benefits, resulting in reductions of 25%, 27%, and 26% in mortality burdens for 2030, 2040, 2050 respectively. Significant reductions in future mortality burdens are estimated and, importantly for public health, the majority of benefits are achieved early on in the future timeline simulated, though further efforts are likely needed to reduce impacts of air pollution to health.
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Affiliation(s)
- Helen L Macintyre
- UK Health Security Agency, Chilton, Oxon OX11 0RQ, UK; School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston B15 2TT, UK.
| | | | - Massimo Vieno
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, UK.
| | - Mathew R Heal
- School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh EH9 3FJ, UK.
| | - Clare Heaviside
- Institute for Environmental Design and Engineering, University College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK.
| | - Karen S Exley
- UK Health Security Agency, Chilton, Oxon OX11 0RQ, UK; Department of Health Sciences, University of Leicester, Leicester, UK.
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Wei Y, Mao B, Xu L, Ao C. Accounting for the importance of psychological distance in assessing public preferences for air quality improvement policies: an application of the integrated choice and latent variable model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:47455-47469. [PMID: 36740618 DOI: 10.1007/s11356-023-25683-5] [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: 07/04/2022] [Accepted: 01/29/2023] [Indexed: 06/18/2023]
Abstract
Assessing public preferences for air pollution control is essential to achieving effective air quality improvement, but the internal psychological factors affecting public preferences, especially psychological distance (PD), have only received limited attention. Therefore, this paper explores the role of PD in assessing public preferences for air quality improvement policies. Compared with previous studies that consider psychological factors in the choice model, this study incorporates PD into the choice model as a latent variable by considering both individual responses to measurement questions and socio-economic characteristics in the integrated choice and latent variable model. The results of this study clearly show that PD significantly affects public preferences for air quality improvement policies. Respondents with close PD had obvious preferences for air quality improvement, while those with distant PD were satisfied with the current situation and reluctant to improve it. After considering PD in the analysis, respondents' willingness to pay for one-unit level change of attributes "heavily polluted days," "good air days," "mortality," and "policy postponement" were respectively 10.3791CNY, 10.9005CNY, 11.0427CNY, 28.3412CNY per year. In addition, the paper also found men and respondents with lower levels of education and higher monthly incomes tended to view air pollution as psychologically distant and thus less willing to improve air quality. It is suggested that policy makers should reduce the PD of air pollution among these people by increasing publicity about the hazards of air pollution. This study not only contributes to the literature on the importance of PD in assessing individual preferences, but also provides constructive guidance for policy makers to assess the public's acceptability of air quality improvement.
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Affiliation(s)
- Yuehua Wei
- College of Engineering, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China
| | - Biqi Mao
- College of Mechanical and Electronic Engineering, Tarim University, Alaer, 843300, Xinjiang, China
| | - Lishan Xu
- College of Engineering, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China
| | - Changlin Ao
- College of Engineering, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China.
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VoPham T, Jones RR. State of the science on outdoor air pollution exposure and liver cancer risk. ENVIRONMENTAL ADVANCES 2023; 11:100354. [PMID: 36875691 PMCID: PMC9984166 DOI: 10.1016/j.envadv.2023.100354] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Background There is emerging evidence that air pollution exposure increases the risk of developing liver cancer. To date, there have been four epidemiologic studies conducted in the United States, Taiwan, and Europe showing generally consistent positive associations between ambient exposure to air pollutants, including particulate matter <2.5 μm in aerodynamic diameter (PM2.5) and nitrogen dioxide (NO2), and liver cancer risk. There are several research gaps and thus valuable opportunities for future work to continue building on this expanding body of literature. The objectives of this paper are to narratively synthesize existing epidemiologic literature on the association between air pollution exposure and liver cancer incidence and describe future research directions to advance the science of understanding the role of air pollution exposure in liver cancer development. Future research directions include 1) accounting for potential confounding by established risk factors for the predominant histological subtype, hepatocellular carcinoma (HCC); 2) examination of incident primary liver cancer outcomes with consideration of potential differential associations according to histology; 3) air pollution exposure assessments considering early-life and/or historical exposures, residential histories, residual confounding from other sources of air pollution (e.g., tobacco smoking), and integration of geospatial ambient exposure modeling with novel biomarker technologies; 4) examination of air pollution mixtures experienced in the exposome; 5) consideration of increased opportunities for exposure to outdoor air pollution due to climate change (e.g., wildfires); and 6) consideration of modifying factors for air pollution exposure, such as socioeconomic status, that may contribute to disparities in liver cancer incidence. Conclusions In light of mounting evidence demonstrating that higher levels of air pollution exposure increase the risk for developing liver cancer, methodological considerations primarily concerning residual confounding and improved exposure assessment are warranted to robustly demonstrate an independent association for air pollution as a hepatocarcinogen.
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Affiliation(s)
- Trang VoPham
- Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Avenue N, Seattle, Washington 98109, United States
- Department of Epidemiology, University of Washington, 3980 15th Avenue NE, Seattle, Washington 98195, United States
| | - Rena R. Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland 20850, United States
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