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Kuntic M, Hahad O, Al-Kindi S, Oelze M, Lelieveld J, Daiber A, Münzel T. Pathomechanistic Synergy Between Particulate Matter and Traffic Noise-Induced Cardiovascular Damage and the Classical Risk Factor Hypertension. Antioxid Redox Signal 2024. [PMID: 38874533 DOI: 10.1089/ars.2024.0659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Affiliation(s)
- Marin Kuntic
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Mainz, Germany
| | - Omar Hahad
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Mainz, Germany
| | - Sadeer Al-Kindi
- Cardiovascular Prevention & Wellness and Center for CV Computational & Precision Health, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas, USA
| | - Matthias Oelze
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Jos Lelieveld
- Max Planck Institute for Chemistry, Atmospheric Chemistry, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Mainz, Germany
| | - Thomas Münzel
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Mainz, Germany
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Feng H, Yang Y, Ye H, Xu J, Zhao M, Jin Y, Zhang S. Associations between PM 2.5 Components and Mortality of Ischemic Stroke, Chronic Obstructive Pulmonary Disease and Diabetes in Beijing, China. TOXICS 2024; 12:381. [PMID: 38922061 PMCID: PMC11209520 DOI: 10.3390/toxics12060381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/06/2024] [Accepted: 05/16/2024] [Indexed: 06/27/2024]
Abstract
Ischemic stroke (IS), chronic obstructive pulmonary disease (COPD) and diabetes mellitus (DM) account for a large burden of premature deaths. However, few studies have investigated the associations between fine particular matter (PM2.5) components and mortality of IS, COPD and DM. We aimed to examine these associations in Beijing, China. Data on daily mortality, air pollutants and meteorological factors from 2008 to 2011 in Beijing were collected. Daily concentrations of five PM2.5 components, namely, sulfate ion (SO42-), ammonium ion (NH4+), nitrate ion (NO3-), organic matter (OM) and black carbon (BC), were obtained from the Tracking Air Pollution (TAP) database in China. The association between PM2.5 components and daily deaths was explored using a quasi-Poisson regression with the distributed lag nonlinear model (DLNM). The average daily concentrations of SO42-, NH4+, NO3-, OM and BC were 11.24, 8.37, 12.00, 17.34 and 3.32 μg/m3, respectively. After adjusting for temperature, relative humidity, pressure, particulate matter less than 10 μm in aerodynamic diameter (PM10), nitrogen dioxide (NO2) and sulfur dioxide (SO2), an IQR increase in OM at lag day 2 and lag day 6 was associated with an increased DM mortality risk (RR 1.038; 95% CI: 1.005-1.071) and COPD mortality risk (RR 1.013; 95% CI: 1.001-1.026). An IQR increase in BC at lag day 0 and lag day 6 was associated with increased COPD mortality risk (RR 1.228; 95% CI: 1.017-1.48, RR 1.059; 95% CI: 1.001-1.121). Cumulative exposure to SO42- and NH4+ was associated with an increased mortality risk for IS, with the highest effect found for lag of 0-7 days (RR 1.085; 95% CI: 1.010-1.167, RR 1.083; 95% CI: 1.003-1.169). These effects varied by sex and age group. This study demonstrated associations of short-term exposure to PM2.5 components with increased risk of IS, COPD and DM mortality in the general population. Our study also highlighted susceptible subgroups.
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Affiliation(s)
- Hao Feng
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China;
| | - Yisen Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; (Y.Y.); (H.Y.); (J.X.); (M.Z.)
- Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Hong Ye
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; (Y.Y.); (H.Y.); (J.X.); (M.Z.)
- Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; (Y.Y.); (H.Y.); (J.X.); (M.Z.)
- Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; (Y.Y.); (H.Y.); (J.X.); (M.Z.)
- Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Ye Jin
- Center for Digital Medicine and Artificial Intelligence, Institute of Clinical Medicine, Peking Union Medical College Hospital, Beijing 100730, China
- Department of Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Shuyang Zhang
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China;
- Department of Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Huang SP, Su CC, Lin CY, Nethery R, Josey K, Bates B, Robinson D, Gandhi P, Rua M, Parthasarathi A, Setoguchi S, Kao Yang YH. Exposure-Response to High PM 2.5 Levels for Cardiovascular Events in High-risk Older Adults in Taiwan. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.08.24306967. [PMID: 38766145 PMCID: PMC11100932 DOI: 10.1101/2024.05.08.24306967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Background Multiple studies from countries with relatively lower PM 2.5 level demonstrated that acute and chronic exposure even at lower than recommended level, e.g., 9 μg/m 3 in the US increased the risk of cardiovascular (CV) events. However, limited studies using individual level data exist from countries with a wider range of PM levels to illustrate shape of the exposure-response curve throughout the range including > 20 μg/m 3 PM 2·5 concentrations. Taiwan with its policies reduced PM 2.5 over time provide opportunities to illustrate the dose response curves and how reductions of PM 2.5 over time correlated with CV events incidence in a nationwide sample. Methods Using data from the 2009-2019 Taiwan National Health Insurance Database linked to nationwide PM2.5 data. We examined the shape and magnitude of the exposure-response curve between seasonal average PM 2·5 level and CV events-related hospitalizations among older adults at high-risk for CV events. We used history-adjusted marginal structural models including potential confounding by individual demographic factors, baseline comorbidities, and health service measures. To quantify the risk below and above 20 μg/m 3 we conducted stratified Cox regression. We also plotted PM 2.5 and CV events from 2009-2019 as well as average temperature as a comparison. Findings Using the PM 2.5 concentration <15 μg/m 3 (Taiwan regulatory standard) as a reference, the seasonal average PM 2.5 concentration (15-23.5μg/m 3 and > 23.5 μg/m 3 ) were associated with hazard ration of 1.13 (95%CI 1.09-1.18) and 1.19 (95%CI 1.14-1.24), 1.07 (95%CI 1.03-1.11) and 1.14 (95%CI 1.10-1.18), 1.22 (95%CI 1.08-1.38) and 1.31 (95%CI 1.16-1.48), 1.04 (95%CI 0.98-1.10) and 1.10 (95%CI 1.04-1.16) respectively for HF, IS/TIA,PE/DVT and MI/ACS. A nonlinear relationship between PM 2·5 and CV events outcomes was observed at PM 2·5 levels above 20 μg/m 3 . Interpretation A nonlinear exposure-response relationship between PM2·5 concentration and the incidence of cardiovascular events exists when PM2.5 is higher than the levels recommended by WHO Air Quality Guidelines. Further lowering PM2·5 levels beyond current regulatory standards may effectively reduce the incidence of cardiovascular events, particularly HF and DVT, and can lead to tangible health benefits in high-risk elderly population.
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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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Fu Z, Ma Y, Yang C, Liu Q, Liang J, Weng Z, Li W, Zhou S, Chen X, Xu J, Xu C, Huang T, Zhou Y, Gu A. Association of air pollution exposure and increased coronary artery disease risk: the modifying effect of genetic susceptibility. Environ Health 2023; 22:85. [PMID: 38062446 PMCID: PMC10704645 DOI: 10.1186/s12940-023-01038-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Both genetic factors and air pollution are risk factors for coronary artery disease (CAD), but their combined effects on CAD are uncertain. The study aimed to comprehensively investigate their separate, combined and interaction effects on the onset of CAD. METHODS We utilized data from the UK Biobank with a recruitment of 487,507 participants who were free of CAD at baseline from 2006 to 2010. We explored the separate, combined effect or interaction association among genetic factors, air pollution and CAD with the polygenic risk score (PRS) and Cox proportional hazard models. RESULTS The hazard ratios (HRs) [95% confidence interval (CI)] of CAD for 10-µg/m3 increases in PM2.5, NO2 and NOx concentrations were 1.25 (1.09, 1.44), 1.03 (1.01, 1.05) and 1.01 (1.00, 1.02), respectively. Participants with high PRS and air pollution exposure had a higher risk of CAD than those with the low genetic risk and low air pollution exposure, and the HRs (95% CI) of CAD in the PM2.5, PM10, NO2 and NOx high joint exposure groups were 1.56 (1.48, 1.64), 1.55(1.48, 1.63), 1.57 (1.49, 1.65), and 1.57 (1.49, 1.65), respectively. Air pollution and genetic factors exerted significant additive effects on the development of CAD (relative excess risk due to the interaction [RERI]: 0.12 (0.05, 0.19) for PM2.5, 0.17 (0.10, 0.24) for PM10, 0.14 (0.07, 0.21) for NO2, and 0.17 (0.10, 0.24) for NOx; attributable proportion due to the interaction [AP]: 0.09 (0.04, 0.14) for PM2.5, 0.12 (0.07, 0.18) for PM10, 0.11 (0.06, 0.16) for NO2, and 0.13 (0.08, 0.18) for NOx). CONCLUSION Exposure to air pollution was significantly related to an increased CAD risk, which could be further strengthened by CAD gene susceptibility. Additionally, there were positive additive interactions between genetic factors and air pollution on the onset of CAD. This can provide a more comprehensive, precise and individualized scientific basis for the risk assessment, prevention and control of CAD.
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Affiliation(s)
- Zuqiang Fu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
- School of Public Health, Southeast University, 101 Longmian Avenue, Nanjing, 211166, China
| | - Yuanyuan Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Changjie Yang
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Qian Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Jingjia Liang
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Zhenkun Weng
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Wenxiang Li
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Shijie Zhou
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Xiu Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Jin Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
- Department of Maternal, Child, and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Cheng Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China.
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China.
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
| | - Yong Zhou
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, No. 320 Yueyang Road, Shanghai, 200031, China.
| | - Aihua Gu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China.
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China.
- School of Public Health, Southeast University, 101 Longmian Avenue, Nanjing, 211166, China.
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Li W, Tian A, Shi Y, Chen B, Ji R, Ge J, Su X, Pu B, Lei L, Ma R, Wang Q, Ban J, Song L, Xu W, Zhang Y, He W, Yang H, Li X, Li T, Li J. Associations of long-term fine particulate matter exposure with all-cause and cause-specific mortality: results from the ChinaHEART project. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 41:100908. [PMID: 37767374 PMCID: PMC10520991 DOI: 10.1016/j.lanwpc.2023.100908] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/14/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023]
Abstract
Background The chronic effects of fine particulate matter (PM2.5) at high concentrations remains uncertain. We aimed to examine the relationship of long-term PM2.5 exposure with all-cause and the top three causes of death (cardiovascular disease [CVD], cancer, and respiratory disease), and to analyze their concentration-response functions over a wide range of concentrations. Methods We enrolled community residents aged 35-75 years from 2014 to 2017 from all 31 provinces of the Chinese Mainland, and followed them up until 2021. We used a long-term estimation dataset for both PM2.5 and O3 concentrations with a high spatiotemporal resolution to assess the individual exposure, and used Cox proportional hazards models to estimate the associations between PM2.5 and mortalities. Findings We included 1,910,923 participants, whose mean age was 55.6 ± 9.8 years and 59.4% were female. A 10 μg/m3 increment in PM2.5 exposure was associated with increased risk for all-cause death (hazard ratio 1.02 [95% confidence interval 1.012-1.028]), CVD death (1.024 [1.011-1.037]), cancer death (1.037 [1.023-1.052]), and respiratory disease death (1.083 [1.049-1.117]), respectively. Long-term PM2.5 exposure nonlinearly related with all-cause, CVD, and cancer mortalities, while linearly related with respiratory disease mortality. Interpretation The overall effects of long-term PM2.5 exposure on mortality in the high concentration settings are weaker than previous reports from settings of PM2.5 concentrations < 35 μg/m³. The distinct concentration-response relationships of CVD, cancer, and respiratory disease mortalities could facilitate targeted public health efforts to prevent death caused by air pollution. Funding The Chinese Academy of Medical Sciences Innovation Fund for Medical Science, the National High Level Hospital Clinical Research Funding, the Ministry of Finance of China and National Health Commission of China, the 111 Project from the Ministry of Education of China.
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Affiliation(s)
- Wei Li
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Aoxi Tian
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Yu Shi
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Guangdong Province, People’s Republic of China
| | - Bowang Chen
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Runqing Ji
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Jinzhuo Ge
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Xiaoming Su
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Boxuan Pu
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Lubi Lei
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Runmei Ma
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Qing Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Jie Ban
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Yan Zhang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Wenyan He
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Hao Yang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
- Central China Sub-center of the National Center for Cardiovascular Diseases, Zhengzhou, People’s Republic of China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Jing Li
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China
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Wei J, Wang J, Li Z, Kondragunta S, Anenberg S, Wang Y, Zhang H, Diner D, Hand J, Lyapustin A, Kahn R, Colarco P, da Silva A, Ichoku C. Long-term mortality burden trends attributed to black carbon and PM 2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study. Lancet Planet Health 2023; 7:e963-e975. [PMID: 38056967 DOI: 10.1016/s2542-5196(23)00235-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 10/04/2023] [Accepted: 10/12/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Long-term improvements in air quality and public health in the continental USA were disrupted over the past decade by increased fire emissions that potentially offset the decrease in anthropogenic emissions. This study aims to estimate trends in black carbon and PM2·5 concentrations and their attributable mortality burden across the USA. METHODS In this study, we derived daily concentrations of PM2·5 and its highly toxic black carbon component at a 1-km resolution in the USA from 2000 to 2020 via deep learning that integrated big data from satellites, models, and surface observations. We estimated the annual PM2·5-attributable and black carbon-attributable mortality burden at each 1-km2 grid using concentration-response functions collected from a national cohort study and a meta-analysis study, respectively. We investigated the spatiotemporal linear-regressed trends in PM2·5 and black carbon pollution and their associated premature deaths from 2000 to 2020, and the impact of wildfires on air quality and public health. FINDINGS Our results showed that PM2·5 and black carbon estimates are reliable, with sample-based cross-validated coefficients of determination of 0·82 and 0·80, respectively, for daily estimates (0·97 and 0·95 for monthly estimates). Both PM2·5 and black carbon in the USA showed significantly decreasing trends overall during 2000 to 2020 (22% decrease for PM2·5 and 11% decrease for black carbon), leading to a reduction of around 4200 premature deaths per year (95% CI 2960-5050). However, since 2010, the decreasing trends of fine particles and premature deaths have reversed to increase in the western USA (55% increase in PM2·5, 86% increase in black carbon, and increase of 670 premature deaths [460-810]), while remaining mostly unchanged in the eastern USA. The western USA showed large interannual fluctuations that were attributable to the increasing incidence of wildfires. Furthermore, the black carbon-to-PM2·5 mass ratio increased annually by 2·4% across the USA, mainly due to increasing wildfire emissions in the western USA and more rapid reductions of other components in the eastern USA, suggesting a potential increase in the relative toxicity of PM2·5. 100% of populated areas in the USA have experienced at least one day of PM2·5 pollution exceeding the daily air quality guideline level of 15 μg/m3 during 2000-2020, with 99% experiencing at least 7 days and 85% experiencing at least 30 days. The recent widespread wildfires have greatly increased the daily exposure risks in the western USA, and have also impacted the midwestern USA due to the long-range transport of smoke. INTERPRETATION Wildfires have become increasingly intensive and frequent in the western USA, resulting in a significant increase in smoke-related emissions in populated areas. This increase is likely to have contributed to a decline in air quality and an increase in attributable mortality. Reducing fire risk via effective policies besides mitigation of climate warming, such as wildfire prevention and management, forest restoration, and new revenue generation, could substantially improve air quality and public health in the coming decades. FUNDING National Aeronautics and Space Administration (NASA) Applied Science programme, NASA MODIS maintenance programme, NASA MAIA satellite mission programme, NASA GMAO core fund, National Oceanic and Atmospheric Administration (NOAA) GEO-XO project, NOAA Atmospheric Chemistry, Carbon Cycle, and Climate (AC4) programme, and NOAA Educational Partnership Program with Minority Serving Institutions.
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Affiliation(s)
- Jing Wei
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
| | - Jun Wang
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA.
| | - Zhanqing Li
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
| | - Shobha Kondragunta
- Center for Satellite Applications and Research, NOAA National Environmental Satellite, Data, and Information Service, College Park, MD, USA
| | - Susan Anenberg
- Department of Environmental and Occupational Health, George Washington University, Washington, DC, USA
| | - Yi Wang
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA
| | - Huanxin Zhang
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA
| | - David Diner
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Jenny Hand
- Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
| | - Alexei Lyapustin
- Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Ralph Kahn
- Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Peter Colarco
- Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Arlindo da Silva
- Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Charles Ichoku
- Department of Geography and Environmental Systems, University of Maryland Baltimore County, Baltimore, MD, USA
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8
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Yisrael K, Drover RW, Shapiro ML, Anguiano M, Kachour N, Li Q, Tran E, Cocker DR, Lo DD. Route of administration significantly affects particle deposition and cellular recruitment. PLoS One 2023; 18:e0289373. [PMID: 38011140 PMCID: PMC10681169 DOI: 10.1371/journal.pone.0289373] [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: 05/22/2023] [Accepted: 07/17/2023] [Indexed: 11/29/2023] Open
Abstract
Lung exposures to dusts, pollutants, and other aerosol particulates are known to be associated with pulmonary diseases such as asthma and Chronic Obstructive Pulmonary Disease. These health impacts are attributed to the ability of aerosol components to induce pulmonary inflammation, which promotes tissue remodeling, including fibrosis, tissue degradation, and smooth muscle proliferation. Consequently, the distribution of these effects can have a significant impact on the physiologic function of the lung. In order to study the impact of distribution of inhaled particulates on lung pathogenesis, we compared the effect of different methods of particle delivery. By comparing intranasal versus aerosol delivery of fluorescent microspheres, we observed strikingly distinct patterns of particle deposition; intranasal delivery provided focused deposition concentrated on larger airways, while aerosol delivery showed unform deposition throughout the lung parenchyma. Recognizing that the impacts of inflammatory cells are contingent upon their recruitment and behavior, we postulate that these variations in distribution patterns can result in significant alterations in biological responses. To elucidate the relevance of these findings in terms of biological representation, we subsequently conducted an investigation into the responses elicited by the administration of endotoxin (bacterial Lipopolysaccharide, or LPS) in a transgenic neutrophil reporter mouse model. As with the microsphere results, patterns of recruited neutrophil inflammatory responses matched the delivery method; that is, despite the active migratory behavior of neutrophils, inflammatory histopathology patterns were either focused on large airways (intranasal administration) or diffusely throughout the parenchyma (aerosol). These results demonstrate the importance of modes of aerosol delivery as different patterns of inflammation and tissue remodeling will have distinct impacts on lung physiology.
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Affiliation(s)
- Keziyah Yisrael
- Division of Biomedical Sciences, University of California, Riverside School of Medicine, Riverside, California, United States of America
- BREATHE Center, University of California, Riverside, Riverside, California, United States of America
| | - Ryan W. Drover
- Department of Chemical and Environmental Engineering, University of California, Riverside, Riverside, California, United States of America
- College of Engineering-Center for Environmental Research and Technology (CE-CERT), University of California, Riverside, Riverside, California, United States of America
| | - Malia L. Shapiro
- Division of Biomedical Sciences, University of California, Riverside School of Medicine, Riverside, California, United States of America
- BREATHE Center, University of California, Riverside, Riverside, California, United States of America
| | - Martha Anguiano
- Division of Biomedical Sciences, University of California, Riverside School of Medicine, Riverside, California, United States of America
| | - Nala Kachour
- Division of Biomedical Sciences, University of California, Riverside School of Medicine, Riverside, California, United States of America
- BREATHE Center, University of California, Riverside, Riverside, California, United States of America
| | - Qi Li
- Department of Chemical and Environmental Engineering, University of California, Riverside, Riverside, California, United States of America
- College of Engineering-Center for Environmental Research and Technology (CE-CERT), University of California, Riverside, Riverside, California, United States of America
| | - Emily Tran
- Division of Biomedical Sciences, University of California, Riverside School of Medicine, Riverside, California, United States of America
| | - David R. Cocker
- Department of Chemical and Environmental Engineering, University of California, Riverside, Riverside, California, United States of America
- College of Engineering-Center for Environmental Research and Technology (CE-CERT), University of California, Riverside, Riverside, California, United States of America
| | - David D. Lo
- Division of Biomedical Sciences, University of California, Riverside School of Medicine, Riverside, California, United States of America
- BREATHE Center, University of California, Riverside, Riverside, California, United States of America
- Center for Health Disparities Research, University of California, Riverside, Riverside, California, United States of America
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9
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Liang X, Liang L, Fan Y. Two-sample mendelian randomization analysis investigates ambient fine particulate matter's impact on cardiovascular disease development. Sci Rep 2023; 13:20129. [PMID: 37978283 PMCID: PMC10656567 DOI: 10.1038/s41598-023-46816-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023] Open
Abstract
PM2.5, a key component of air pollution, significantly threatens public health. Cardiovascular disease is increasingly associated with air pollution, necessitating more research. This study used a meticulous two-sample Mendelian randomization (MR) approach to investigate the potential causal link between elevated PM2.5 levels and 25 types of cardiovascular diseases. Data sourced from the UK Biobank, focusing on individuals of European ancestry, underwent primary analysis using Inverse Variance Weighting. Additional methods such as MR-Egger, weighted median, Simple mode, and Weighted mode provided support. Sensitivity analyses assessed instrument variable heterogeneity, pleiotropy, and potential weak instrument variables. The study revealed a causal link between PM2.5 exposure and higher diagnoses of Atherosclerotic heart disease (primary or secondary, OR [95% CI] 1.0307 [1.0103-1.0516], p-value = 0.003 and OR [95% CI] 1.0179 [1.0028-1.0333], p-value = 0.0202) and Angina pectoris (primary or secondary, OR [95% CI] 1.0303 [1.0160-1.0449], p-value = 3.04e-05 and OR [95% CI] 1.0339 [1.0081-1.0603], p-value = 0.0096). Additionally, PM2.5 exposure increased the likelihood of diagnoses like Other forms of chronic ischaemic heart disease (secondary, OR [95% CI] 1.0193 [1.0042-1.0346], p-value = 0.0121), Essential hypertension (secondary, OR [95% CI] 1.0567 [1.0142-1.1010], p-value = 0.0085), Palpitations (OR [95% CI] 1.0163 [1.0071-1.0257], p-value = 5e-04), and Stroke (OR [95% CI] 1.0208 [1.0020-1.0401], p-value = 0.0301). Rigorous sensitivity analyses confirmed these significant findings' robustness and validity. Our study revealed the causal effect between higher PM2.5 concentrations and increased cardiovascular disease risks. This evidence is vital for policymakers and healthcare providers, urging targeted interventions to reduce PM2.5 levels.
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Affiliation(s)
- Xiao Liang
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Lianjing Liang
- Department of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yuchao Fan
- Department of Anesthesiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, Renmin South Road, Chengdu, 610041, Sichuan Province, China.
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10
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Li Y, Fan Z, Lu W, Xu R, Liu T, Liu L, Chen G, Lv Z, Huang S, Zhou Y, Liu Y, Sun H. Long-term exposure to ambient fine particulate matter-bound polycyclic aromatic hydrocarbons and cancer mortality: A difference-in-differences approach. CHEMOSPHERE 2023; 340:139800. [PMID: 37572709 DOI: 10.1016/j.chemosphere.2023.139800] [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: 05/18/2023] [Revised: 07/19/2023] [Accepted: 08/10/2023] [Indexed: 08/14/2023]
Abstract
The association of ambient fine particulate matter (PM2.5) exposure with cancer mortality was controversial, which may ascribe to the difference in PM2.5 constituents. Polycyclic aromatic hydrocarbons (PAHs) are carcinogenic constituents in PM2.5, which are suspected to account for PM2.5-induced cancer mortality but are yet to be investigated. We aimed to assess the association between long-term exposure to PM2.5-bound PAHs and cancer mortality and estimate the attributable mortality. A difference-in-differences approach was used to investigate the causal effect of long-term exposure to PM2.5-bound PAHs on cancer mortality. We divided Jiangsu province, China into 53 spatial units and summarized the annual number of cancer deaths in each spatial unit during 2016-2020. Annual population-weighted exposure to PM2.5-bound PAHs of each spatial unit was assessed by an inverse distance weighting method. The association between PM2.5-bound PAHs exposures and cancer mortality was evaluated by controlling spatial differences, temporal trends, PM2.5 mass exposures, temperatures, and socioeconomic status. Records of 793,269 cancer deaths were identified among 84.7 million population. Each ln-unit increase of exposure to total benzo[a]pyrene equivalents (∑BaPeq), total carcinogenic PAHs (∑PAH7c), and total PAHs (∑PAHs) was significantly associated with a 3.21%, 3.48%, and 2.64% increased risk of cancer mortality, respectively; the risk increased monotonically at low-level exposures but attenuated or flattened afterward (all p for nonlinearity <0.05). Similar exposure-response associations were identified for specific PAHs except that the associations for both fluoranthene and benzo[a]anthracene were linear. We estimated that exposure to ∑BaPeq, ∑PAH7c, and ∑PAHs contributed to 5.73%, 8.73%, and 7.33% of cancer deaths, respectively. In conclusion, long-term exposure to PM2.5-bound PAHs was associated with an increased risk of cancer mortality and contributed to substantial cancer deaths. Our findings highlight the importance to prevent deaths from cancer by reducing PM2.5-bound PAHs exposures and the necessity to take into consideration specific constituents in particulate pollution management in future.
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Affiliation(s)
- Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhaoyu Fan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wenfeng Lu
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Likun Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Ziquan Lv
- Central Laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Suli Huang
- Department of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Yun Zhou
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Hong Sun
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
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11
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Deng Y, Wang J, Sun L, Wang Y, Chen J, Zhao Z, Wang T, Xiang Y, Wang Y, Chen J, He M. Effects of Ambient O 3 on Respiratory Mortality, Especially the Combined Effects of PM 2.5 and O 3. TOXICS 2023; 11:892. [PMID: 37999544 PMCID: PMC10675328 DOI: 10.3390/toxics11110892] [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: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND In China, the increasing concentration of ozone (O3) has emerged as a significant air pollution issue, leading to adverse effects on public health, particularly the respiratory system. Despite the progress made in managing air pollution in China, it is crucial to address the problem of environmental O3 pollution at present. METHODS The connection between O3 exposure and respiratory mortality in Shenyang, China, from 2014 to 2018 was analyzed by a time-series generalized additive regression model (GAM) with quasi-Poisson regression. Additionally, the potential combined effects of fine particulate matter (PM2.5) and O3 were investigated using the synergy index (SI). RESULTS Our findings indicate that each 10 μg/m3 increase in O3 at lag 2 days was associated with a maximum relative risk (RR) of 1.0150 (95% CI: 1.0098-1.0202) for respiratory mortality in the total population. For individuals aged ≥55 years, unmarried individuals, those engaged in indoor occupations, and those with low educational attainment, each 10 μg/m3 increase in O3 at lag 07 days was linked to RR values of 1.0301 (95% CI: 1.0187-1.0417), 1.0437 (95% CI: 1.0266-1.0610), 1.0317 (95% CI: 1.0186-1.0450), and 1.0346 (95% CI: 1.0222-1.0471), respectively. Importantly, we discovered a synergistic effect of PM2.5 and O3, resulting in an SI of 2.372 on the occurrence of respiratory mortality. CONCLUSIONS This study confirmed a positive association between O3 exposure and respiratory mortality. Furthermore, it highlighted the interaction between O3 and PM2.5 in exacerbating respiratory deaths.
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Affiliation(s)
- Ye Deng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Junlong Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Li Sun
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Yue Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Jiaoyang Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Zhixin Zhao
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Tianyun Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Yuting Xiang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Yuting Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Jiamei Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Miao He
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang 110122, China
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12
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Gutiérrez-Avila I, Riojas-Rodríguez H, Colicino E, Rush J, Tamayo-Ortiz M, Borja-Aburto VH, Just AC. Short-term exposure to PM 2.5 and 1.5 million deaths: a time-stratified case-crossover analysis in the Mexico City Metropolitan Area. Environ Health 2023; 22:70. [PMID: 37848890 PMCID: PMC10580614 DOI: 10.1186/s12940-023-01024-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 10/05/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Satellite-based PM2.5 predictions are being used to advance exposure science and air-pollution epidemiology in developed countries; including emerging evidence about the impacts of PM2.5 on acute health outcomes beyond the cardiovascular and respiratory systems, and the potential modifying effects from individual-level factors in these associations. Research on these topics is lacking in low and middle income countries. We aimed to explore the association between short-term exposure to PM2.5 with broad-category and cause-specific mortality outcomes in the Mexico City Metropolitan Area (MCMA), and potential effect modification by age, sex, and SES characteristics in such associations. METHODS We used a time-stratified case-crossover study design with 1,479,950 non-accidental deaths from the MCMA for the period of 2004-2019. Daily 1 × 1 km PM2.5 (median = 23.4 μg/m3; IQR = 13.6 μg/m3) estimates from our satellite-based regional model were employed for exposure assessment at the sub-municipality level. Associations between PM2.5 with broad-category (organ-system) and cause-specific mortality outcomes were estimated with distributed lag conditional logistic models. We also fit models stratifying by potential individual-level effect modifiers including; age, sex, and individual SES-related characteristics namely: education, health insurance coverage, and job categories. Odds ratios were converted into percent increase for ease of interpretation. RESULTS PM2.5 exposure was associated with broad-category mortality outcomes, including all non-accidental, cardiovascular, cerebrovascular, respiratory, and digestive mortality. A 10-μg/m3 PM2.5 higher cumulative exposure over one week (lag06) was associated with higher cause-specific mortality outcomes including hypertensive disease [2.28% (95%CI: 0.26%-4.33%)], acute ischemic heart disease [1.61% (95%CI: 0.59%-2.64%)], other forms of heart disease [2.39% (95%CI: -0.35%-5.20%)], hemorrhagic stroke [3.63% (95%CI: 0.79%-6.55%)], influenza and pneumonia [4.91% (95%CI: 2.84%-7.02%)], chronic respiratory disease [2.49% (95%CI: 0.71%-4.31%)], diseases of the liver [1.85% (95%CI: 0.31%-3.41%)], and renal failure [3.48% (95%CI: 0.79%-6.24%)]. No differences in effect size of associations were observed between age, sex and SES strata. CONCLUSIONS Exposure to PM2.5 was associated with non-accidental, broad-category and cause-specific mortality outcomes beyond the cardiovascular and respiratory systems, including specific death-causes from the digestive and genitourinary systems, with no indication of effect modification by individual-level characteristics.
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Affiliation(s)
- Iván Gutiérrez-Avila
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
| | | | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
| | - Johnathan Rush
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
| | - Marcela Tamayo-Ortiz
- Instituto Mexicano del Seguro Social, Unidad de Investigación en Salud Ocupacional, México City, México
| | | | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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13
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Lim EH, Franklin P, Trevenen ML, Nieuwenhuijsen M, Yeap BB, Almeida OP, Hankey GJ, Golledge J, Etherton-Beer C, Flicker L, Robinson S, Heyworth J. Exposure to low-level ambient air pollution and the relationship with lung and bladder cancer in older men, in Perth, Western Australia. Br J Cancer 2023; 129:1500-1509. [PMID: 37684355 PMCID: PMC10628106 DOI: 10.1038/s41416-023-02411-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 08/06/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Air pollution is a cause of lung cancer and is associated with bladder cancer. However, the relationship between air pollution and these cancers in regions of low pollution is unclear. We investigated associations between fine particulate matter (PM2.5), nitrogen dioxide, and black carbon (BC), and both these cancers in a low-pollution city. METHODS A cohort of 11,679 men ≥65 years old in Perth (Western Australia) were followed from 1996-1999 until 2018. Pollutant concentrations, as a time-varying variable, were estimated at participants' residential addresses using land use regression models. Incident lung and bladder cancer were identified through the Western Australian Cancer Registry. Risks were estimated using Cox proportional-hazard models (age as the timescale), adjusting for smoking, socioeconomic status, and co-pollutants. RESULTS Lung cancer was associated with PM2.5 and BC in the adjusted single-pollutant models. A weak positive association was observed between ambient air pollution and squamous cell lung carcinoma but not lung adenocarcinoma. Positive associations were observed with bladder cancer, although these were not statistically significant. Associations were attenuated in two-pollutant models. CONCLUSION Low-level ambient air pollution is associated with lung, and possibly bladder, cancer among older men, suggesting there is no known safe level for air pollution as a carcinogen.
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Affiliation(s)
- Elizabeth H Lim
- School of Population and Global Health, The University of Western Australia, Crawley, WA, Australia
| | - Peter Franklin
- School of Population and Global Health, The University of Western Australia, Crawley, WA, Australia.
| | - Michelle L Trevenen
- Western Australian Centre for Health and Ageing, The University of Western Australia, Crawley, WA, Australia
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health - Campus MAR, Barcelona Biomedical Research Park, Barcelona, Spain
| | - Bu B Yeap
- Medical School, The University of Western Australia, Crawley, WA, Australia
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, WA, Australia
| | - Osvaldo P Almeida
- Western Australian Centre for Health and Ageing, The University of Western Australia, Crawley, WA, Australia
| | - Graeme J Hankey
- Medical School, The University of Western Australia, Crawley, WA, Australia
- Perron Institute for Neurological and Translational Science, Perth, WA, Australia
| | - Jonathan Golledge
- Queensland Research Centre for Peripheral Vascular Disease, James Cook University and Townsville University Hospital, Townsville, QLD, Australia
| | - Christopher Etherton-Beer
- Western Australian Centre for Health and Ageing, The University of Western Australia, Crawley, WA, Australia
| | - Leon Flicker
- Western Australian Centre for Health and Ageing, The University of Western Australia, Crawley, WA, Australia
| | - Suzanne Robinson
- Curtin School of Population Health, Curtin University, Perth, WA, Australia
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Burwood, VIC, Australia
| | - Jane Heyworth
- School of Population and Global Health, The University of Western Australia, Crawley, WA, Australia.
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14
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Vallée A. Sex Associations Between Air Pollution and Estimated Atherosclerotic Cardiovascular Disease Risk Determination. Int J Public Health 2023; 68:1606328. [PMID: 37841972 PMCID: PMC10569126 DOI: 10.3389/ijph.2023.1606328] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/19/2023] [Indexed: 10/17/2023] Open
Abstract
Objective: The purpose of this study was to investigate the sex correlations of particulate matters (PM2.5, PM10, PM2.5-10), NO2 and NOx with ASCVD risk in the UK Biobank population. Methods: Among 285,045 participants, pollutants were assessed and correlations between ASCVD risk were stratified by sex and estimated using multiple linear and logistic regressions adjusted for length of time at residence, education, income, physical activity, Townsend deprivation, alcohol, smocking pack years, BMI and rural/urban zone. Results: Males presented higher ASCVD risk than females (8.63% vs. 2.65%, p < 0.001). In males PM2.5, PM10, NO2, and NOx each were associated with an increased ASCVD risk >7.5% in the adjusted logistic models, with ORs [95% CI] for a 10 μg/m3 increase were 2.17 [1.87-2.52], 1.15 [1.06-1.24], 1.06 [1.04-1.08] and 1.05 [1.04-1.06], respectively. In females, the ORs for a 10 μg/m3 increase were 1.55 [1.19-2.05], 1.22 [1.06-1.42], 1.07 [1.03-1.10], and 1.04 [1.02-1.05], respectively. No association was observed in both sexes between ASCVD risk and PM2.5-10. Conclusion: Our findings may suggest the possible actions of air pollutants on ASCVD risk.
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Affiliation(s)
- Alexandre Vallée
- Department of Epidemiology and Public Health, Foch Hospital, Suresnes, France
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Kim N, Anneser E, Chu MT, Nguyen KH, Stopka TJ, Corlin L. Household conditions, COVID-19, and equity: Insight from two nationally representative surveys. RESEARCH SQUARE 2023:rs.3.rs-3129530. [PMID: 37461724 PMCID: PMC10350171 DOI: 10.21203/rs.3.rs-3129530/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Background With people across the United States spending increased time at home since the emergence of COVID-19, housing characteristics may have an even greater impact on health. Therefore, we assessed associations between household conditions and COVID-19 experiences. Methods We used data from two nationally representative surveys: the Tufts Equity Study (TES; n = 1449 in 2021; n = 1831 in 2022) and the Household Pulse Survey (HPS; n = 147,380 in 2021; n = 62,826 in 2022). In the TES, housing conditions were characterized by heating/cooling methods; smoking inside the home; visible water damage/mold; age of housing unit; and self-reported concern about various environmental factors. In TES and HPS, household size was assessed. Accounting for sampling weights, we examined associations between each housing exposure and COVID-19 outcomes (diagnosis, vaccination) using separate logistic regression models with covariates selected based on an evidence-based directed acyclic graph. Results Having had COVID-19 was more likely among people who reported poor physical housing condition (odds ratio [OR] = 2.32; 95% confidence interval [CI] = 1.17-4.59; 2021), visible water damage or mold/musty smells (OR = 1.50; 95% CI = 1.10-2.03; 2022), and larger household size (5+ versus 1-2 people; OR = 1.53, 95% CI = 1.34-1.75, HPS 2022). COVID-19 vaccination was less likely among participants who reported smoke exposure inside the home (OR = 0.53; 95% CI = 0.31-0.90; 2022), poor water quality (OR = 0.42; 95% CI = 0.21-0.85; 2021), noise from industrial activity/construction (OR = 0.44; 95% CI = 0.19-0.99; 2022), and larger household size (OR = 0.57; 95% CI = 0.46-0.71; HPS 2022). Vaccination was also positively associated with poor indoor air quality (OR = 1.96; 95% CI = 1.02-3.72; 2022) and poor physical housing condition (OR = 2.27; 95% CI = 1.01-5.13; 2022). Certain heating/cooling sources were associated with COVID-19 outcomes. Conclusions Our study found poor housing conditions associated with increased COVID-19 burden, which may be driven by systemic disparities in housing, healthcare, and financial access to resources during the COVID-19 pandemic.
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Li S, Qu M. Spatiotemporal variations and mechanism of PM 2.5 pollution in urban area: The case of Guiyang, Guizhou, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 341:118030. [PMID: 37172348 DOI: 10.1016/j.jenvman.2023.118030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/26/2022] [Accepted: 04/25/2023] [Indexed: 05/14/2023]
Abstract
PM2.5 has been a hot concern in the recent decade. Many studies have focused on metropolises or those areas with poor air quality, but the PM2.5 of more widespread areas is less considered. Considering the challenges of rapid economic growth and environmental problems against a developing region, we took Guiyang as a study case to assess the spatiotemporal variations and mechanism of PM2.5 pollution in an urban area from 2000 to 2020 in an extended sense. Based on PM2.5 concentration data from 14 monitoring points in Guiyang, spatiotemporal variations and formation mechanism were assessed using wavelet, moving maximal information coefficients, and spatial correlation analysis. The urban Nighttime light data was selected to evaluate the impacts of socioeconomic factors on PM2.5 concentration using spatial correlation analysis. Further, wavelet and statistical analysis were adopted to analyze multi-dimensional temporal variations of PM2.5 hourly concentration and the relationship with pressure, temperature, vapor pressure, relative humidity, wind, and visibility. The PM2.5 hourly concentration was obtained from the monitoring points in downtown Guiyang according to data continuity and availability. PM2.5 had different temporal variations at daily, monthly, seasonal, and annual levels, and interannual variation was the most obvious. The temperature was the main factor leading to the interannual temporal variation of PM2.5. Wind and pressure were more significant for the responses of a shorter period variation with -0.76 and -0.80 of the minimum of correlation coefficient, respectively. Meanwhile, human activities significantly influenced spatiotemporal variations of PM2.5. A spatial correlation analysis between PM2.5 and the related influencing factors from 2000 to 2018 was implemented based on a geographic information system. Besides, the landcovers within a buffer zone with a radius of 1 km on 14 monitoring points were visually interpreted to analyze the relationship between PM2.5 and landcovers. Moreover, multivariate wavelet coherence analysis revealed the PM2.5 interaction among monitoring points. The PM2.5 concentration in Guiyang dropped from 49 μg/m3 in 2012 to about 27 μg/m3 in 2018, and the air quality greatly improved. As in most cities, Guiyang has a significant PM2.5 pollution island effect, with traffic and building land density contributing to higher PM2.5 concentrations. There were some typical nonlinear spatiotemporal variations between PM2.5 and its influencing factors, and these variations varied with the selected scale.
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Affiliation(s)
- Song Li
- School of Geography and Resources, Guizhou Education University, Guiyang, Guizhou, 550018, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Mingxin Qu
- Guiyang Municipal Environmental Monitoring Center, Guiyang, Guizhou, 550007, China
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Ramos-Contreras C, Piñeiro-Iglesias M, Concha-Graña E, Sánchez-Piñero J, Moreda-Piñeiro J, Franco-Uría A, López-Mahía P, Molina-Pérez F, Muniategui-Lorenzo S. Source apportionment of PM 10 and health risk assessment related in a narrow tropical valley. Study case: Metropolitan area of Aburrá Valley (Colombia). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:60036-60049. [PMID: 37017840 PMCID: PMC10163095 DOI: 10.1007/s11356-023-26710-1] [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: 09/19/2022] [Accepted: 03/25/2023] [Indexed: 05/08/2023]
Abstract
This study investigates spatio-temporal variations of PM10 mass concentrations and associated metal(oid)s, δ13C carbon isotope ratios, polycyclic aromatic hydrocarbons (PAHs), total organic carbon (TOC) and equivalent black carbon (eBC) concentrations over a half year period (from March 2017 to October 2017) in two residential areas of Medellín (MED-1 and MED-2) and Itagüí municipality (ITA-1 and ITA-2) at a tropical narrow valley (Aburrá Valley, Colombia), where few data are available. A total of 104 samples were analysed by using validated analytical methodologies, providing valuable data for PM10 chemical characterisation. Metal(oid)s concentrations were measured by inductively coupled plasma mass spectrometry (ICP-MS) after acid digestion, and PAHs concentrations were measured by Gas Chromatography-Mass Spectrometry (GC-MS) after Pressurised Hot Water Extraction (PHWE) and Membrane Assisted Solvent Extraction (MASE). Mean PM10 mass concentration ranged from 37.0 µg m-3 to 45.7 µg m-3 in ITA-2 and MED-2 sites, respectively. Al, Ca, Mg and Na (from 6249 ng m-3 for Mg at MED-1 site to 10,506 ng m-3 for Ca at MED-2 site) were the major elements in PM10 samples, whilst As, Be, Bi, Co, Cs, Li, Ni, Sb, Se, Tl and V were found at trace levels (< 5.4 ng m-3). Benzo[g,h,i] perylene (BghiP), benzo[b + j]fluoranthene (BbjF) and indene(1,2,3-c,d)pyrene (IcdP) were the most profuse PAHs in PM10 samples, with average concentrations of 0.82-0.86, 0.60-0.78 and 0.47-0.58 ng m-3, respectively. Results observed in the four sampling sites showed a similar dispersion pattern of pollutants, with temporal fluctuations which seems to be associated to the meteorology of the valley. A PM source apportionment study were carried out by using the positive matrix factorization (PMF) model, pointing to re-suspended dust, combustion processes, quarry activity and secondary aerosols as PM10 sources in the study area. Among them, combustion was the major PM10 contribution (accounting from 32.1 to 32.9% in ITA-1 and ITA-2, respectively), followed by secondary aerosols (accounting for 13.2% and 23.3% ITA-1 and MED-1, respectively). Finally, a moderate carcinogenic risk was observed for PM10-bound PAHs exposure via inhalation, whereas significant carcinogenic risk was estimated for carcinogenic metal(oid)s exposure in the area during the sampling period.
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Affiliation(s)
- Carlos Ramos-Contreras
- Department of Chemistry, Faculty of Sciences, Grupo Química Analítica Aplicada (QANAP), University Institute of Research in Environmental Studies (IUMA), University of A Coruña, Campus de A Coruña, S/N. 15071, A Coruña, Spain
- Grupo de Investigación en Gestión y Modelación Ambiental (GAIA), Escuela Ambiental, Facultad de Ingeniería, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia
| | - María Piñeiro-Iglesias
- Department of Chemistry, Faculty of Sciences, Grupo Química Analítica Aplicada (QANAP), University Institute of Research in Environmental Studies (IUMA), University of A Coruña, Campus de A Coruña, S/N. 15071, A Coruña, Spain
| | - Estefanía Concha-Graña
- Department of Chemistry, Faculty of Sciences, Grupo Química Analítica Aplicada (QANAP), University Institute of Research in Environmental Studies (IUMA), University of A Coruña, Campus de A Coruña, S/N. 15071, A Coruña, Spain
| | - Joel Sánchez-Piñero
- Department of Chemistry, Faculty of Sciences, Grupo Química Analítica Aplicada (QANAP), University Institute of Research in Environmental Studies (IUMA), University of A Coruña, Campus de A Coruña, S/N. 15071, A Coruña, Spain
| | - Jorge Moreda-Piñeiro
- Department of Chemistry, Faculty of Sciences, Grupo Química Analítica Aplicada (QANAP), University Institute of Research in Environmental Studies (IUMA), University of A Coruña, Campus de A Coruña, S/N. 15071, A Coruña, Spain.
| | - Amaya Franco-Uría
- Dept. of Chemical Engineering, School of Engineering, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | - Purificación López-Mahía
- Department of Chemistry, Faculty of Sciences, Grupo Química Analítica Aplicada (QANAP), University Institute of Research in Environmental Studies (IUMA), University of A Coruña, Campus de A Coruña, S/N. 15071, A Coruña, Spain
| | - Francisco Molina-Pérez
- Grupo de Investigación en Gestión y Modelación Ambiental (GAIA), Escuela Ambiental, Facultad de Ingeniería, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia
| | - Soledad Muniategui-Lorenzo
- Department of Chemistry, Faculty of Sciences, Grupo Química Analítica Aplicada (QANAP), University Institute of Research in Environmental Studies (IUMA), University of A Coruña, Campus de A Coruña, S/N. 15071, A Coruña, Spain
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Fan Z, Li Y, Wei J, Chen G, Wang R, Xu R, Liu T, Lv Z, Huang S, Sun H, Liu Y. Long-term exposure to fine particulate matter and site-specific cancer mortality: A difference-in-differences analysis in Jiangsu province, China. ENVIRONMENTAL RESEARCH 2023; 222:115405. [PMID: 36736553 DOI: 10.1016/j.envres.2023.115405] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Accumulating studies have reported that chronic exposure to ambient fine particulate matter (PM2.5) can lead to adverse effects on lung cancer mortality; however, such chronic effects are less clear for mortality from other site-specific cancers. OBJECTIVE To explore the causal effect of long-term PM2.5 exposure on mortality from all-site and a variety of site-specific cancers in Jiangsu province, China during 2015-2020 using a difference-in-differences analysis. METHODS For each of 53 county-based spatial units in Jiangsu province, we calculated annual death counts for all-site cancer and 23 site-specific cancers. Using a validated high-resolution PM2.5 grid dataset, long-term PM2.5 exposure of a spatial unit within a given year was evaluated as the average of population-weighted annual concentrations during recent 10 years. Conditional Poisson regression models were employed to evaluate exposure-response associations adjusting for spatial and temporal variables, seasonal temperatures, relative humidity, and gross domestic product (GDP). RESULTS During the study period, we identified 947,337 adult cancer deaths in Jiangsu province. Each 1 μg/m3 increment in PM2.5 exposure was significantly associated with a 2.7% increase in the risk of all-site cancer mortality. PM2.5-mortality associations were also observed in cancer of lip, oral cavity and pharynx, stomach, colorectum, pancreas, lung, bone and joints, ovary, prostate, and lymphoma (all adjusted P < 0.05), with the relative risks ranging from 1.028 (95% confidence interval [CI]: 1.011, 1.046) for stomach cancer to 1.201 (95% CI: 1.120, 1.308) for bone and joints cancers. Exposure-response curves showed that these associations were close to linearity, though most of them had increasing slopes at high exposure levels. Overall, women and subjects in low GDP regions were more vulnerable to PM2.5 exposures. CONCLUSIONS Long-term exposure to ambient PM2.5 contributes to a higher risk of mortality from multiple site-specific cancers.
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Affiliation(s)
- Zhaoyu Fan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Rui Wang
- Luohu District Chronic Disease Hospital, Shenzhen, Guangdong, 518020, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Ziquan Lv
- Central Laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, 518055, China
| | - Suli Huang
- Department of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, 518055, China
| | - Hong Sun
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, 210009, China.
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
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Honda TJ, Kazemiparkouhi F, Suh H. The Impact of Long-Term Air Pollution Exposure on Type 1 Diabetes Mellitus-Related Mortality among U.S. Medicare Beneficiaries. TOXICS 2023; 11:336. [PMID: 37112563 PMCID: PMC10145417 DOI: 10.3390/toxics11040336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/22/2023] [Accepted: 03/30/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Little of the previous literature has investigated associations between air pollution exposure and type 1 diabetes mellitus (T1DM)-related mortality, despite a well-established link between air pollution exposure and other autoimmune diseases. METHODS In a cohort of 53 million Medicare beneficiaries living across the conterminous United States, we used Cox proportional hazard models to assess the association of long-term PM2.5 and NO2 exposures on T1DM-related mortality from 2000 to 2008. Models included strata for age, sex, race, and ZIP code and controlled for neighborhood socioeconomic status (SES); we additionally investigated associations in two-pollutant models, and whether associations were modified by participant demographics. RESULTS A 10 μg/m3 increase in 12-month average PM2.5 (HR: 1.183; 95% CI: 1.037-1.349) and a 10 ppb increase in NO2 (HR: 1.248; 95% CI: 1.089-1.431) was associated with an increased risk of T1DM-related mortality in age-, sex-, race-, ZIP code-, and SES-adjusted models. Associations for both pollutants were consistently stronger among Black (PM2.5: HR:1.877, 95% CI: 1.386-2.542; NO2: HR: 1.586, 95% CI: 1.258-2.001) and female (PM2.5: HR:1.297, 95% CI: 1.101-1.529; NO2: HR: 1.390, 95% CI: 1.187-1.627) beneficiaries. CONCLUSIONS Long-term NO2 and, to a lesser extent, PM2.5 exposure is associated with statistically significant elevations in T1DM-related mortality risk.
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Affiliation(s)
- Trenton J. Honda
- School of Clinical and Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA
| | - Fatemeh Kazemiparkouhi
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
| | - Helen Suh
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
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Hicken MT, Payne-Sturges D, McCoy E. Evaluating Race in Air Pollution and Health Research: Race, PM 2.5 Air Pollution Exposure, and Mortality as a Case Study. Curr Environ Health Rep 2023; 10:1-11. [PMID: 36689136 PMCID: PMC10947792 DOI: 10.1007/s40572-023-00390-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/27/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE OF REVIEW Racial inequities in air pollution exposure have been documented. There is also interest in documenting the modifying role of race in the link between air pollution and health. However, the empirical literature in this area has yielded mixed results with potentially unclear policy implications. We critically evaluate recent empirical papers on the interactive association between race and air pollution exposure on adult mortality in the USA as a case study of the race, pollution, and health literature. Specifically, we evaluate these studies for the conceptualization and discussion of race and the use of race variables that may contribute to the ambiguous results and policy implications both in this specific literature and in the broader literature. RECENT FINDINGS We evaluate ten empirical studies from 2016 to 2022 on the modifying role of race in the association between short- and long-term PM2.5 exposure and specific types of adult mortality (all cause, non-accidental, and heart or cardiovascular diseases) in the USA. In addition to comparing and contrasting the empirical results, we focus our review on the conceptualization, measurement, modeling, and discussion of race and the race variables. Overall, the results indicate no consistent role of race in the association between PM2.5 exposure and mortality. Moreover, conceptualization and discussion of race was often brief and incomplete, even when the empirical results were unexpected or counterintuitive. To build on recent discussions in the epidemiology and environmental epidemiology literature more specifically, we provide a detailed discussion of the meaning of race, the race variables, and the cultural and structural racism that some argue are proxied by race variables. We use theoretical scholarship from the humanities and social sciences along with empirical work from the environmental literature to provide recommendations for future research that can provide an evidence base to inform both social and environmental policy.
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Affiliation(s)
- Margaret T Hicken
- Institute for Social Research, University of Michigan, 426 Thompson Street3358 ISR, Ann Arbor, MI, 48106, USA.
| | - Devon Payne-Sturges
- School of Public Health, Maryland Institute for Applied Environmental Health, University of Maryland, 255 Valley Drive, College Park, MD, 20742, USA
| | - Ember McCoy
- School for Environment and Sustainability, University of Michigan, 440 Church Street; 4503 Dana, Ann Arbor, MI, 48109, USA
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Chen SF, Chien YH, Chen PC. The association between long-term ambient fine particulate exposure and the mortality among adult patients initiating dialysis: A retrospective population-based cohort study in Taiwan. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 316:120606. [PMID: 36368554 DOI: 10.1016/j.envpol.2022.120606] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 10/27/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Fine particulate matter (PM2.5) has been reported to be associated with increased risk of chronic kidney disease (CKD) and progression to end-stage renal disease (ESRD). However, studies on whether long-term exposure to PM2.5 negatively impacts the survival of patients with ESRD are very limited. To conduct this study, we linked Taiwan Air Quality-Monitoring Database (TAQMD) and the National Health Insurance Research Database (NHIRD) by zip-code. A retrospective population-based cohort of 34,088 adult patients initiating dialysis over six months was formed. Cox proportional regression models were used to estimate the risk of mortality in dialysis patients per 10-μg/m3 increase of PM2.5 and by PM2.5 levels divided into quintiles. Restricted cubic spline analysis was performed to delineate the concentration-response relationship between PM2.5 and mortality. The adjusted hazard ratio (aHR) per 10-μg/m3 increase of PM2.5 for mortality was 1.11 (95% confidence interval [CI] = 1.08-1.13). When analyzing PM2.5 exposure divided into quintiles, patients with mean PM2.5 exposure over 29.33 μg/m3, including level III (aHR 1.00, 95% CI = 0.94-1.07), level IV (aHR 1.09; 95% CI = 1.03-1.16), and level V (HR 1.11; 95% CI = 1.05-1.19), were at stepwise higher risks of mortality compared with level I. Spline analysis showed a non-linear concentration-response function between PM2.5 and mortality, with the lowest mortality aHR identified at a mean PM2.5 of 26 μg/m3, followed by a concentration interval with a gradual increase of aHR, and finally a steep rise of mortality risk when mean PM2.5 exceeded 37 μg/m3. Individuals with older age, those were male, with selected comorbidities, and with low socioeconomic status (SES) were at higher mortality risk. Male and non-diabetics participants were more sensitive to the effect of a 10-μg/m3 of PM2.5 increase on mortality than their counterparts. In conclusion, long-term exposure to PM2.5 exceeding a threshold was observed to be associated with increased risk of mortality among dialysis patients.
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Affiliation(s)
- Shih-Feng Chen
- Nephrology Department, New Taipei City Hospital, New Taipei City, Taiwan; Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan
| | - Yu-Hui Chien
- Nephrology Department, New Taipei City Hospital, New Taipei City, Taiwan
| | - Pau-Chung Chen
- Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan; Department of Public Health, National Taiwan University College of Public Health, Taiwan; Department of Environmental and Occupational Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Taiwan.
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Wood LM, D’Evelyn SM, Errett NA, Bostrom A, Desautel C, Alvarado E, Ray K, Spector JT. "When people see me, they know me; they trust what I say": characterizing the role of trusted sources for smoke risk communication in the Okanogan River Airshed Emphasis Area. BMC Public Health 2022; 22:2388. [PMID: 36539797 PMCID: PMC9763808 DOI: 10.1186/s12889-022-14816-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION As wildfire smoke events increase in intensity and frequency in the Pacific Northwest, there is a growing need for effective communication on the health risks of smoke exposure. Delivery through a trusted source or intermediary has been shown to improve reception of risk communication messages. This is especially salient in rural and tribal communities who may be hesitant to trust information from state and federal agency sources. This study aims to identify and characterize trusted sources for smoke risk information in the Okanogan River Airshed Emphasis Area (ORAEA), a rural region of North Central Washington state that is heavily impacted by smoke from wildfires and prescribed fire. METHODS The research team conducted a qualitative study using data collected through key informant interviews and focus groups to assess the role of various sources and intermediaries in disseminating smoke risk information. We used a consensual coding approach in NVivo Qualitative Analysis Software to sort data into preliminary categories, which were grouped into themes using a thematic analysis approach. We used member checking and iterative feedback processes with local project partners throughout the project to ensure credibility of results. RESULTS Through the analysis, we identified three themes characterizing trusted sources for smoke risk communication in the ORAEA. These themes were: (1) local and tribal sources of information are perceived as more trustworthy than state and federal government sources, (2) trustworthiness is determined by an evaluation of multiple factors, in particular, perceived credibility, quality of information, and relationship with the source, and (3) conservative political ideology and perceived parallels with COVID-19 communication influence perception of trust. Within each theme, we identified several sub-themes, which contributed additional nuance to our analysis. CONCLUSION This study provides insights into which sources of information are trusted by rural and tribal community members in the ORAEA and why. Results from our study emphasize the importance of relationships and collaboration with local and tribal partners in smoke risk communication. In this paper, we discuss implications for state and federal agency practitioners and present recommendations for how to work with local and tribal partners on smoke risk communication.
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Affiliation(s)
- Leah M Wood
- Department of Global Health, University of Washington, Seattle, USA
- Daniel J. Evans School of Public Policy and Governance, University of Washington, Seattle, USA
| | - Savannah M D’Evelyn
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA
| | - Nicole A Errett
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA
| | - Ann Bostrom
- Daniel J. Evans School of Public Policy and Governance, University of Washington, Seattle, USA
| | - Cody Desautel
- Confederated Tribes of the Colville Reservation Natural Resources Department, Nespelem, USA
| | - Ernesto Alvarado
- School of Environmental and Forestry Sciences, University of Washington, Seattle, USA
| | - Kris Ray
- Confederated Tribes of the Colville Reservation Natural Resources Department, Nespelem, USA
| | - June T Spector
- Department of Global Health, University of Washington, Seattle, USA
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA
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Zou K, Sun P, Huang H, Zhuo H, Qie R, Xie Y, Luo J, Li N, Li J, He J, Aschebrook-Kilfoy B, Zhang Y. Etiology of lung cancer: Evidence from epidemiologic studies. JOURNAL OF THE NATIONAL CANCER CENTER 2022; 2:216-225. [PMID: 39036545 PMCID: PMC11256564 DOI: 10.1016/j.jncc.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 12/05/2022] Open
Abstract
Lung cancer is one of the leading causes of cancer incidence and mortality worldwide. While smoking, radon, air pollution, as well as occupational exposure to asbestos, diesel fumes, arsenic, beryllium, cadmium, chromium, nickel, and silica are well-established risk factors, many lung cancer cases cannot be explained by these known risk factors. Over the last two decades the incidence of adenocarcinoma has risen, and it now surpasses squamous cell carcinoma as the most common histologic subtype. This increase warrants new efforts to identify additional risk factors for specific lung cancer subtypes as well as a comprehensive review of current evidence from epidemiologic studies to inform future studies. Given the myriad exposures individuals experience in real-world settings, it is essential to investigate mixture effects from complex exposures and gene-environment interactions in relation to lung cancer and its subtypes.
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Affiliation(s)
- Kaiyong Zou
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peiyuan Sun
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huang Huang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haoran Zhuo
- Yale School of Public Health, New Haven, United States of America
| | - Ranran Qie
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuting Xie
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiajun Luo
- Department of Public Health Sciences, the University of Chicago, Chicago, United States of America
| | - Ni Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiang Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Yawei Zhang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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24
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Turner MC. Advancing Understanding of Environmental Contributions to Disparities in Lung Cancer. Am J Respir Crit Care Med 2022; 206:934-936. [PMID: 35731621 PMCID: PMC9801988 DOI: 10.1164/rccm.202206-1109ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Affiliation(s)
- Michelle C. Turner
- Barcelona Institute for Global Health (ISGlobal)Barcelona, Spain,Universitat Pompeu FabraBarcelona, Spain,Centro de Investigación Biomédica en RedEpidemiología y Salud PúblicaMadrid, Spain
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25
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Cheng I, Yang J, Tseng C, Wu J, Shariff-Marco S, Park SSL, Conroy SM, Inamdar PP, Fruin S, Larson T, Setiawan VW, DeRouen MC, Gomez SL, Wilkens LR, Le Marchand L, Stram DO, Samet J, Ritz B, Wu AH. Traffic-related Air Pollution and Lung Cancer Incidence: The California Multiethnic Cohort Study. Am J Respir Crit Care Med 2022; 206:1008-1018. [PMID: 35649154 PMCID: PMC9801994 DOI: 10.1164/rccm.202107-1770oc] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 05/31/2022] [Indexed: 01/07/2023] Open
Abstract
Rationale: Although the contribution of air pollution to lung cancer risk is well characterized, few studies have been conducted in racially, ethnically, and socioeconomically diverse populations. Objectives: To examine the association between traffic-related air pollution and risk of lung cancer in a racially, ethnically, and socioeconomically diverse cohort. Methods: Among 97,288 California participants of the Multiethnic Cohort Study, we used Cox proportional hazards regression to examine associations between time-varying traffic-related air pollutants (gaseous and particulate matter pollutants and regional benzene) and lung cancer risk (n = 2,796 cases; average follow-up = 17 yr), adjusting for demographics, lifetime smoking, occupation, neighborhood socioeconomic status (nSES), and lifestyle factors. Subgroup analyses were conducted for race, ethnicity, nSES, and other factors. Measurements and Main Results: Among all participants, lung cancer risk was positively associated with nitrogen oxide (hazard ratio [HR], 1.15 per 50 ppb; 95% confidence interval [CI], 0.99-1.33), nitrogen dioxide (HR, 1.12 per 20 ppb; 95% CI, 0.95-1.32), fine particulate matter with aerodynamic diameter <2.5 μm (HR, 1.20 per 10 μg/m3; 95% CI, 1.01-1.43), carbon monoxide (HR, 1.29 per 1,000 ppb; 95% CI, 0.99-1.67), and regional benzene (HR, 1.17 per 1 ppb; 95% CI, 1.02-1.34) exposures. These patterns of associations were driven by associations among African American and Latino American groups. There was no formal evidence for heterogeneity of effects by nSES (P heterogeneity > 0.21), although participants residing in low-SES neighborhoods had increased lung cancer risk associated with nitrogen oxides, and no association was observed among those in high-SES neighborhoods. Conclusions: These findings in a large multiethnic population reflect an association between lung cancer and the mixture of traffic-related air pollution and not a particular individual pollutant. They are consistent with the adverse effects of air pollution that have been described in less racially, ethnically, and socioeconomically diverse populations. Our results also suggest an increased risk of lung cancer among those residing in low-SES neighborhoods.
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Affiliation(s)
- Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Chiuchen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, California
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Sung-shim Lani Park
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Shannon M. Conroy
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, California
| | - Pushkar P. Inamdar
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Scott Fruin
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Timothy Larson
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington
| | - Veronica W. Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Mindy C. DeRouen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Scarlett Lin Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Lynne R. Wilkens
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Loïc Le Marchand
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jonathan Samet
- Department of Epidemiology and
- Department of Environmental and Occupational Health, Colorado School of Public Health, Aurora, Colorado; and
| | - Beate Ritz
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, Los Angeles, California
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
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Liu Y, He X, Liu J, Zhang L, Xiong A, Wang J, Liu S, Jiang M, Luo L, Xiong Y, Li G. Transcriptome analysis identifies IL24 as an autophagy modulator in PM2.5 caused lung dysfunction. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 244:114039. [PMID: 36049333 DOI: 10.1016/j.ecoenv.2022.114039] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/19/2022] [Accepted: 08/27/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Evidence suggests that exposure to PM2.5 increased hospitalization and mortality rates of respiratory diseases. However, the potential biomarkers and targets associated with PM2.5-induced lung dysfunction are not fully discovered. METHODS Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and HALLMARK enrichment analysis of the RNA-seq data (Beas-2B cells treated with PM2.5) were applied. Gene set enrichment analysis (GSEA) was performed to identify the biological processes correlated with autophagy. Three gene expression profile datasets (GSE158954, GSE155616 and GSE182199) were downloaded from the Gene Expression Omnibus (GEO) database to identify the potential targets. PM2.5-exposed mice were constructed. Real-time qPCR, siRNA transfection, western blot, immunofluorescence, and pathological staining were applied for validation both in vitro and in vivo studies. RESULTS GO, KEGG and HALLMARK enrichment based on RNA-seq data showed that the differentially expressed genes (DEGs) were associated with autophagy like lysosome and macroautophagy. GSEA analysis revealed that PM2.5 was positively correlated with autophagy-related biological processes compared with control group. Venn diagrams identified IL24 was upregulated in our data as well as in these three datasets (GSE158954, GSE155616 and GSE182199) after PM2.5 exposure. Consistent with the analysis, activation of autophagy by PM2.5 was validated in vivo and in vitro. In PM2.5-exposed mice, lung pathological changes were observed, including airway inflammation and mucus secretion. The mRNA and protein levels of the key gene, IL24, were significantly increased. Moreover, Bafilomycin A1, the inhibitor of autophagy, inhibited the autophagy and ameliorated lung injury induced by PM2.5. Furthermore, downregulation of IL24 decreased autophagy activity. Meanwhile, IL24 was regulated by mTOR signaling. CONCLUSIONS In summary, we discovered a potential relationship between IL24 and autophagy during PM2.5 exposure. IL24 might be a novel potential biomarker or therapeutic target in PM2.5 caused lung dysfunction through regulation of autophagy.
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Affiliation(s)
- Yao Liu
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Xiang He
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China.
| | - Jiliu Liu
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Lei Zhang
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Anying Xiong
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Junyi Wang
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Shengbin Liu
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Manling Jiang
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Li Luo
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Ying Xiong
- Department of Pulmonary and Critical Care Medicine, Sichuan Friendship Hospital, Chengdu 610000, China.
| | - Guoping Li
- School of Medicine, Southwest Jiaotong University, Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China.
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Peng-in B, Sanitluea P, Monjatturat P, Boonkerd P, Phosri A. Estimating ground-level PM 2.5 over Bangkok Metropolitan Region in Thailand using aerosol optical depth retrieved by MODIS. AIR QUALITY, ATMOSPHERE, & HEALTH 2022; 15:2091-2102. [PMID: 36043224 PMCID: PMC9411850 DOI: 10.1007/s11869-022-01238-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
UNLABELLED A number of previous studies have shown that statistical model with a combination of satellite-derived aerosol optical depth (AOD) and PM2.5 measured by the monitoring stations could be applied to predict spatial ground-level PM2.5 concentration, but few studies have been conducted in Thailand. This study aimed to estimate ground-level PM2.5 over the Bangkok Metropolitan Region in 2020 using linear regression model that incorporates the Moderate Resolution Imaging Spectroradiometer (MODIS) AOD measurements and other air pollutants, as well as various meteorological factors and greenness indicators into the model. The 12-fold cross-validation technique was used to examine the accuracy of model performance. The annual mean (standard deviation) concentration of observed PM2.5 was 22.37 (± 12.55) µg/m3 and the mean (standard deviation) of PM2.5 during summer, winter, and rainy season was 18.36 (± 7.14) µg/m3, 33.60 (± 14.48) µg/m3, and 15.30 (± 4.78) µg/m3, respectively. The cross-validation yielded R 2 of 0.48, 0.55, 0.21, and 0.52 with the average of predicted PM2.5 concentration of 22.25 (± 9.97) µg/m3, 21.68 (± 9.14) µg/m3, 29.43 (± 9.45) µg/m3, and 15.74 (± 5.68) µg/m3 for the year round, summer, winter, and rainy season, respectively. We also observed that integrating NO2 and O3 into the regression model improved the prediction accuracy significantly for a year round, summer, winter, and rainy season over the Bangkok Metropolitan Region. In conclusion, estimating ground-level PM2.5 concentration from the MODIS AOD measurement using linear regression model provided the satisfactory model performance when incorporating many possible predictor variables that would affect the association between MODIS AOD and PM2.5 concentration. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11869-022-01238-4.
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Affiliation(s)
- Bussayaporn Peng-in
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Peeyaporn Sanitluea
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Pimnapat Monjatturat
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Pattaraporn Boonkerd
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Arthit Phosri
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
- Center of Excellence on Environmental Health and Toxicology (EHT), OPS, Ministry of Higher Education, Research, Science and Innovation, Bangkok, Thailand
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Shamsa EH, Song Z, Kim H, Shamsa F, Hazlett LD, Zhang K. The links of fine airborne particulate matter exposure to occurrence of cardiovascular and metabolic diseases in Michigan, USA. PLOS GLOBAL PUBLIC HEALTH 2022; 2:e0000707. [PMID: 36962575 PMCID: PMC10021276 DOI: 10.1371/journal.pgph.0000707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/13/2022] [Indexed: 11/18/2022]
Abstract
Air pollutants, particularly airborne particulate matter with aerodynamic diameter < 2.5μm (PM2.5), have been linked to the increase in mortality and morbidity associated with cardiovascular and metabolic diseases. In this study, we investigated the dose-risk relationships between PM2.5 concentrations and occurrences of cardiovascular and metabolic diseases as well as the confounding socioeconomic factors in Michigan, USA, where PM2.5 levels are generally considered acceptable. Multivariate linear regression analyses were performed to investigate the relationship between health outcome and annual ground-level PM2.5 concentrations of 82 counties in Michigan. The analyses revelated significant linear dose-response associations between PM2.5 concentrations and cardiovascular disease (CVD) hospitalization. A 10 μg/m3 increase in PM2.5 exposure was found to be associated with a 3.0% increase in total CVD, 0.45% increase in Stroke, and a 0.3% increase in Hypertension hospitalization rates in Medicare beneficiaries. While the hospitalization rates of Total Stroke, Hemorrhagic Stroke, and Hypertension in urbanized counties were significantly higher than those of rural counties, the death rates of coronary heart disease and ischemic stroke in urbanized counties were significantly lower than those of rural counties. These results were correlated with the facts that PM2.5 levels in urbanized counties were significantly higher than that in rural counties and that the percentage of the population with health insurance and the median household income in rural counties were significantly lower. While obesity prevalence showed evidence of a weak positive correlation (ρ = 0.20, p-value = 0.078) with PM2.5 levels, there was no significant dose-response association between county diabetes prevalence rates and PM2.5 exposure in Michigan. In summary, this study revealed strong dose-response associations between PM2.5 concentrations and CVD incidence in Michigan, USA. The socioeconomic factors, such as access to healthcare resources and median household income, represent important confounding factors that could override the impact of PM2.5 exposure on CVD mortality.
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Affiliation(s)
- El Hussain Shamsa
- Center for Molecular Medicine & Genetics, The Wayne State University School of Medicine, Detroit, MI, United States of America
| | - Zhenfeng Song
- Center for Molecular Medicine & Genetics, The Wayne State University School of Medicine, Detroit, MI, United States of America
| | - Hyunbae Kim
- Center for Molecular Medicine & Genetics, The Wayne State University School of Medicine, Detroit, MI, United States of America
| | - Falah Shamsa
- Cancer Coalition of Georgia, Atlanta, GA, United States of America
| | - Linda D. Hazlett
- Ophthalmology, Visual and Anatomical Sciences, The Wayne State University School of Medicine, Detroit, MI, United States of America
| | - Kezhong Zhang
- Center for Molecular Medicine & Genetics, The Wayne State University School of Medicine, Detroit, MI, United States of America
- Department of Immunology and Microbiology, The Wayne State University School of Medicine, Detroit, MI, United States of America
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Lin CM, Huang TH, Chi MC, Guo SE, Lee CW, Hwang SL, Shi CS. N-acetylcysteine alleviates fine particulate matter (PM2.5)-induced lung injury by attenuation of ROS-mediated recruitment of neutrophils and Ly6C high monocytes and lung inflammation. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 239:113632. [PMID: 35594827 DOI: 10.1016/j.ecoenv.2022.113632] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 05/06/2022] [Accepted: 05/07/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Exposure to particulate matter (PM) may contribute to lung inflammation and injury. The therapeutic effect of N-acetylcysteine (NAC), a well-known antioxidant, with regards to the prevention and treatment of fine PM (PM2.5)-induced lung injury is poorly understood. This study aimed to determine the effect of PM2.5 on the recruitment of neutrophils and Ly6Chigh monocytes into lung alveoli and the production of proinflammatory proteins by stimulating the generation of reactive oxygen species (ROS), and to investigate the therapeutic effect of NAC on PM2.5-induced lung injury. METHODS C57BL/6 mice were exposed to a single administration of PM2.5 (200 μg/100 μl/mouse) or phosphate-buffered saline (control) via intratracheal instillation. The mice were injected intratracheally via a microsprayer aerosolizer with NAC (20 or 40 mg/kg) 1 h before PM2.5 instillation and 24 h after PM2.5 instillation. Total protein, VEGF, IL-6, and TNF-α in bronchoalveolar lavage fluid (BALF) were measured. Oxidative stress was evaluated by determining levels of malondialdehyde (MDA) and nitrite in BALF. Flow cytometric analysis was used to identify and quantify neutrophils and Ly6Chigh and Ly6Clow monocyte subsets. RESULTS Neutrophil count, total protein, and VEGF content in BALF significantly increased after PM2.5 exposure and reached the highest level on day 2. Increased levels of TNF-alpha, IL-6, nitrite, and MDA in BALF were also noted. Flow cytometric analysis showed increased recruitment of neutrophils and Ly6Chigh, but not Ly6Clow monocytes, into lung alveoli. Treatment with NAC via the intratracheal spray significantly attenuated the recruitment of neutrophils and Ly6Chigh monocytes into lung alveoli in PM2.5-treated mice in a dose-dependent manner. Furthermore, NAC significantly attenuated the production of total protein, VEGF, nitrite, and MDA in the mice with PM2.5-induced lung injury in a dose-dependent manner. CONCLUSION PM2.5-induced lung injury caused by the generation of oxidative stress led to the recruitment of neutrophils and Ly6Chigh monocytes, and production of inflammatory proteins. NAC treatment alleviated PM2.5-induced lung injury by attenuating the ROS-mediated recruitment of neutrophils and Ly6Chigh monocytes and lung inflammation.
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Affiliation(s)
- Chieh-Mo Lin
- Department of Pulmonary and Critical Care Medicine, Chiayi Chang Gung Memorial Hospital, Chang Gung Medical Foundation, Puzi City, Chiayi County, Taiwan; Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan; Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Puzi City, Chiayi County, Taiwan
| | - Tzu-Hsiung Huang
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan; Department of Respiratory Therapy, Chang Gung Memorial Hospital, Puzi City, Chiayi County, Taiwan
| | - Miao-Ching Chi
- Department of Pulmonary and Critical Care Medicine, Chiayi Chang Gung Memorial Hospital, Chang Gung Medical Foundation, Puzi City, Chiayi County, Taiwan; Chronic Disease and Health Promotion Research Center, Chang Gung University of Science and Technology, Puzi City, Chiayi County, Taiwan; Department of Respiratory Care, Chang Gung University of Science and Technology, Puzi City, Chiayi County, Taiwan; Department of Safety Health and Environmental Engineering, Ming Chi University of Technology, New Taipei City, Taiwan
| | - Su-Er Guo
- Department of Pulmonary and Critical Care Medicine, Chiayi Chang Gung Memorial Hospital, Chang Gung Medical Foundation, Puzi City, Chiayi County, Taiwan; Chronic Disease and Health Promotion Research Center, Chang Gung University of Science and Technology, Puzi City, Chiayi County, Taiwan; Department of Nursing and Graduate Institute of Nursing, College of Nursing, Chang Gung University of Science and Technology, Puzi City, Chiayi County, Taiwan; Department of Safety Health and Environmental Engineering, Ming Chi University of Technology, New Taipei City, Taiwan
| | - Chiang-Wen Lee
- Department of Safety Health and Environmental Engineering, Ming Chi University of Technology, New Taipei City, Taiwan; Department of Nursing, Division of Basic Medical Sciences, Chronic Diseases and Health Promotion Research Center, Chang Gung University of Science and Technology, Puzi City, Chiayi County, Taiwan; College of Medicine, Chang Gung University, Taoyuan City, Taiwan; Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Puzi City, Chiayi County, Taiwan
| | - Su-Lun Hwang
- Department of Pulmonary and Critical Care Medicine, Chiayi Chang Gung Memorial Hospital, Chang Gung Medical Foundation, Puzi City, Chiayi County, Taiwan; Chronic Disease and Health Promotion Research Center, Chang Gung University of Science and Technology, Puzi City, Chiayi County, Taiwan; Department of Nursing and Graduate Institute of Nursing, College of Nursing, Chang Gung University of Science and Technology, Puzi City, Chiayi County, Taiwan
| | - Chung-Sheng Shi
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan; Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital, Puzi City, Chiayi County, Taiwan.
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30
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Keswani A, Akselrod H, Anenberg SC. Health and Clinical Impacts of Air Pollution and Linkages with Climate Change. NEJM EVIDENCE 2022; 1:EVIDra2200068. [PMID: 38319260 DOI: 10.1056/evidra2200068] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Air Pollution Impacts and Climate Change LinksAs part of the NEJM Group series on climate change, Keswani and colleagues review the linkages between climate change and air pollution and suggest strategies that clinicians may use to mitigate the adverse health impacts of air pollution.
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Affiliation(s)
- Anjeni Keswani
- Division of Allergy/Immunology, George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Hana Akselrod
- Division of Infectious Diseases, George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Susan C Anenberg
- George Washington University Milken Institute School of Public Health, Washington, DC
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31
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Honda TJ, Kazemiparkouhi F, Henry TD, Suh HH. Long-term PM 2.5 exposure and sepsis mortality in a US medicare cohort. BMC Public Health 2022; 22:1214. [PMID: 35717154 PMCID: PMC9206363 DOI: 10.1186/s12889-022-13628-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 06/13/2022] [Indexed: 11/10/2022] Open
Abstract
Background Risk factors contributing to sepsis-related mortality include clinical conditions such as cardiovascular disease, chronic lung disease, and diabetes, all of which have also been shown to be associated with air pollution exposure. However, the impact of chronic exposure to air pollution on sepsis-related mortality has been little studied. Methods In a cohort of 53 million Medicare beneficiaries (228,439 sepsis-related deaths) living across the conterminous United States between 2000 and 2008, we examined the association of long-term PM2.5 exposure and sepsis-related mortality. For each Medicare beneficiary (ages 65–120), we estimated the 12-month moving average PM2.5 concentration for the 12 month before death, for their ZIP code of residence using well validated GIS-based spatio-temporal models. Deaths were categorized as sepsis-related if they have ICD-10 codes for bacterial or other sepsis. We used Cox proportional hazard models to assess the association of long-term PM2.5 exposure on sepsis-related mortality. Models included strata for age, sex, race, and ZIP code and controlled for neighborhood socio-economic status (SES). We also evaluated confounding through adjustment of neighborhood behavioral covariates. Results A 10 μg/m3 increase in 12-month moving average PM2.5 was associated with a 9.1% increased risk of sepsis mortality (95% CI: 3.6–14.9) in models adjusted for age, sex, race, ZIP code, and SES. HRs for PM2.5 were higher and statistically significant for older (> 75), Black, and urban beneficiaries. In stratified analyses, null associations were found for younger beneficiaries (65–75), beneficiaries who lived in non-urban ZIP codes, and those residing in low-SES urban ZIP codes. Conclusions Long-term PM2.5 exposure is associated with elevated risks of sepsis-related mortality.
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Affiliation(s)
- Trenton J Honda
- School of Clinical and Rehabilitation Sciences, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA.
| | | | - Trenton D Henry
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA
| | - Helen H Suh
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA
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Colonna KJ, Koutrakis P, Kinney PL, Cooke RM, Evans JS. Mortality Attributable to Long-Term Exposure to Ambient Fine Particulate Matter: Insights from the Epidemiologic Evidence for Understudied Locations. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:6799-6812. [PMID: 35442648 DOI: 10.1021/acs.est.1c08343] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Epidemiologic cohort studies have consistently demonstrated that long-term exposure to ambient fine particles (PM2.5) is associated with mortality. Nevertheless, extrapolating results to understudied locations may involve considerable uncertainty. To explore this issue, this review discusses the evidence for (i) the associated risk of mortality, (ii) the shape of the concentration-response function, (iii) a causal interpretation, and (iv) how the source mix/composition of PM2.5 and population characteristics may alter the effect. The accumulated evidence suggests the following: (i) In the United States, the change in all-cause mortality risk per μg/m3 is about 0.8%. (ii) The concentration-response function appears nonlinear. (iii) Causation is overwhelmingly supported. (iv) Fossil fuel combustion-related sources are likely more toxic than others, and age, race, and income may modify the effect. To illustrate the use of our findings in support of a risk assessment in an understudied setting, we consider Kuwait. However, given the complexity of this relationship and the heterogeneity in reported effects, it is unreasonable to think that, in such circumstances, point estimates can be meaningful. Consequently, quantitative probabilistic estimates, which cannot be derived objectively, become essential. Formally elicited expert judgment can provide such estimates, and this review provides the evidence to support an elicitation.
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Affiliation(s)
- Kyle J Colonna
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Petros Koutrakis
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Patrick L Kinney
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts 02118, United States
| | - Roger M Cooke
- Resources for the Future, Washington, DC 20036, United States
- Department of Mathematics, Delft University of Technology, Delft, NL 2628 XE, Netherlands
| | - John S Evans
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
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Shi L, Rosenberg A, Wang Y, Liu P, Danesh Yazdi M, Réquia W, Steenland K, Chang H, Sarnat JA, Wang W, Zhang K, Zhao J, Schwartz J. Low-Concentration Air Pollution and Mortality in American Older Adults: A National Cohort Analysis (2001-2017). ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7194-7202. [PMID: 34932337 DOI: 10.1021/acs.est.1c03653] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Mounting epidemiological evidence has documented the associations between long-term exposure to multiple air pollutants and increased mortality. There is a pressing need to determine whether risks persist at low concentrations including below current national standards. Air pollution levels have decreased in the United States, and better understanding of the health effects of low-level air pollution is essential for the amendment of National Ambient Air Quality Standards (NAAQS). A nationwide, population-based, open cohort study was conducted to estimate the association between long-term exposure to low-level PM2.5, NO2, O3, and all-cause mortality. The study population included all Medicare enrollees (ages 65 years or older) in the contiguous U.S. from 2001 to 2017. We further defined three low-exposure subcohorts comprised of Medicare enrollees who were always exposed to low-level PM2.5 (annual mean ≤12-μg/m3), NO2 (annual mean ≤53-ppb), and O3 (warm-season mean ≤50-ppb), respectively, over the study period. Of the 68.7-million Medicare enrollees, 33.1% (22.8-million, mean age 75.9 years), 93.8% (64.5-million, mean age 76.2 years), and 65.0% (44.7-million, mean age 75.6 years) were always exposed to low-level annual PM2.5, annual NO2, and warm-season O3 over the study period, respectively. Among the low-exposure cohorts, a 10-μg/m3 increase in PM2.5, 10-ppb increase in NO2, and 10-ppb increase in warm-season O3, were, respectively, associated with an increase in mortality rate ranging between 10 and 13%, 2 and 4%, and 12 and 14% in single-pollutant models, and between 6 and 8%, 1 and 3%, and 9 and 11% in tripollutant models, using three statistical approaches. There was strong evidence of linearity in concentration-response relationships for PM2.5 and NO2 at levels below the current NAAQS, suggesting that no safe threshold exists for health-harmful pollution levels. For O3, the concentration-response relationship shows an increasingly positive association at levels above 40-ppb. In conclusion, exposure to low levels of PM2.5, NO2, and warm-season O3 was associated with an increased risk of all-cause mortality.
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Affiliation(s)
- Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Andrew Rosenberg
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Yifan Wang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Pengfei Liu
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332-0002, United States
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Weeberb Réquia
- School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal 72125590, Brazil
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Howard Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Jeremy A Sarnat
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Wenhao Wang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Kuo Zhang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
- Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Jingxuan Zhao
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, Georgia 30322, United States
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
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So R, Andersen ZJ, Chen J, Stafoggia M, de Hoogh K, Katsouyanni K, Vienneau D, Rodopoulou S, Samoli E, Lim YH, Jørgensen JT, Amini H, Cole-Hunter T, Mahmood Taghavi Shahri S, Maric M, Bergmann M, Liu S, Azam S, Loft S, Westendorp RGJ, Mortensen LH, Bauwelinck M, Klompmaker JO, Atkinson R, Janssen NAH, Oftedal B, Renzi M, Forastiere F, Strak M, Thygesen LC, Brunekreef B, Hoek G, Mehta AJ. Long-term exposure to air pollution and mortality in a Danish nationwide administrative cohort study: Beyond mortality from cardiopulmonary disease and lung cancer. ENVIRONMENT INTERNATIONAL 2022; 164:107241. [PMID: 35544998 DOI: 10.1016/j.envint.2022.107241] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 04/04/2022] [Accepted: 04/09/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The association between long-term exposure to air pollution and mortality from cardiorespiratory diseases is well established, yet the evidence for other diseases remains limited. OBJECTIVES To examine the associations of long-term exposure to air pollution with mortality from diabetes, dementia, psychiatric disorders, chronic kidney disease (CKD), asthma, acute lower respiratory infection (ALRI), as well as mortality from all-natural and cardiorespiratory causes in the Danish nationwide administrative cohort. METHODS We followed all residents aged ≥ 30 years (3,083,227) in Denmark from 1 January 2000 until 31 December 2017. Annual mean concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), and ozone (warm season) were estimated using European-wide hybrid land-use regression models (100 m × 100 m) and assigned to baseline residential addresses. We used Cox proportional hazard models to evaluate the association between air pollution and mortality, accounting for demographic and socioeconomic factors. We additionally applied indirect adjustment for smoking and body mass index (BMI). RESULTS During 47,023,454 person-years of follow-up, 803,881 people died from natural causes. Long-term exposure to PM2.5 (mean: 12.4 µg/m3), NO2 (20.3 µg/m3), and/or BC (1.0 × 10-5/m) was statistically significantly associated with all studied mortality outcomes except CKD. A 5 µg/m3 increase in PM2.5 was associated with higher mortality from all-natural causes (hazard ratio 1.11; 95% confidence interval 1.09-1.13), cardiovascular disease (1.09; 1.07-1.12), respiratory disease (1.11; 1.07-1.15), lung cancer (1.19; 1.15-1.24), diabetes (1.10; 1.04-1.16), dementia (1.05; 1.00-1.10), psychiatric disorders (1.38; 1.27-1.50), asthma (1.13; 0.94-1.36), and ALRI (1.14; 1.09-1.20). Associations with long-term exposure to ozone (mean: 80.2 µg/m3) were generally negative but became significantly positive for several endpoints in two-pollutant models. Generally, associations were attenuated but remained significant after indirect adjustment for smoking and BMI. CONCLUSION Long-term exposure to PM2.5, NO2, and/or BC in Denmark were associated with mortality beyond cardiorespiratory diseases, including diabetes, dementia, psychiatric disorders, asthma, and ALRI.
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Affiliation(s)
- Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Environmental Research Group, School of Public Health, Imperial College London, London, UK
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Heresh Amini
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | | | - Matija Maric
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Bergmann
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Shadi Azam
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Steffen Loft
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rudi G J Westendorp
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Denmark Statistics, Copenhagen, Denmark
| | - Mariska Bauwelinck
- Interface Demography - Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Richard Atkinson
- Population Health Research Institute, St George's University of London, London, UK
| | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Bente Oftedal
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy; Science Policy & Epidemiology Environmental Research Group King's College London, London, UK
| | - Maciek Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Lau C Thygesen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Denmark Statistics, Copenhagen, Denmark
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Eum KD, Honda TJ, Wang B, Kazemiparkouhi F, Manjourides J, Pun VC, Pavlu V, Suh H. Long-term nitrogen dioxide exposure and cause-specific mortality in the U.S. Medicare population. ENVIRONMENTAL RESEARCH 2022; 207:112154. [PMID: 34634310 PMCID: PMC8810665 DOI: 10.1016/j.envres.2021.112154] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 09/26/2021] [Accepted: 09/28/2021] [Indexed: 05/03/2023]
Abstract
BACKGROUND Since 1971, the annual National Ambient Air Quality Standard (NAAQS) for nitrogen dioxide (NO2) has remained at 53 ppb, the impact of long-term NO2 exposure on mortality is poorly understood. OBJECTIVES We examined associations between long-term NO2 exposure (12-month moving average of NO2) below the annual NAAQS and cause-specific mortality among the older adults in the U.S. METHODS Cox proportional-hazard models were used to estimate Hazard Ratio (HR) for cause-specific mortality associated with long-term NO2 exposures among about 50 million Medicare beneficiaries living within the conterminous U.S. from 2001 to 2008. RESULTS A 10 ppb increase in NO2 was associated with increased mortality from all-cause (HR: 1.06; 95% CI: 1.05-1.06), cardiovascular (HR: 1.10; 95% CI: 1.10-1.11), respiratory disease (HR: 1.09; 95% CI: 1.08-1.11), and cancer (HR: 1.01; 95% CI: 1.00-1.02) adjusting for age, sex, race, ZIP code as strata ZIP code- and state-level socio-economic status (SES) as covariates, and PM2.5 exposure using a 2-stage approach. NO2 was also associated with elevated mortality from ischemic heart disease, cerebrovascular disease, congestive heart failure, chronic obstructive pulmonary disease, pneumonia, and lung cancer. We found no evidence of a threshold, with positive and significant HRs across the range of NO2 exposures for all causes of death examined. Exposure-response curves were linear for all-cause, supra-linear for cardiovascular-, and sub-linear for respiratory-related mortality. HRs were highest consistently among Black beneficiaries. CONCLUSIONS Long-term NO2 exposure is associated with elevated risks of death by multiple causes, without evidence of a threshold response. Our findings raise concerns about the sufficiency of the annual NAAQS for NO2.
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Affiliation(s)
- Ki-Do Eum
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA.
| | | | - Bingyu Wang
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | | | - Justin Manjourides
- Bouvè College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Vivian C Pun
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Virgil Pavlu
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Helen Suh
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA
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Heo S, Son JY, Lim CC, Fong KC, Choi HM, Hernandez-Ramirez RU, Nyhan K, Dhillon PK, Kapoor S, Prabhakaran D, Spiegelman D, Bell ML. Effect modification by sex for associations of fine particulate matter (PM 2.5) with cardiovascular mortality, hospitalization, and emergency room visits: systematic review and meta-analysis. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2022; 17:053006. [PMID: 35662857 PMCID: PMC9162078 DOI: 10.1088/1748-9326/ac6cfb] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Particulate matter with aerodynamic diameter no larger than 2.5 μm (PM2.5) has been linked to cardiovascular diseases (CVDs) but evidence for vulnerability by sex remains unclear. We performed systematic review and meta-analysis to synthesize the state of scientific evidence on whether cardiovascular risks from PM2.5 differ for men compared to women. The databases Pubmed, Scopus, Embase, and GreenFILE were searched for studies published Jan. 1995 to Feb. 2020. Observational studies conducting subgroup analysis by sex for impacts of short-term or long-term exposure to PM2.5 on target CVDs were included. Data were independently extracted in duplicate and pooled with random-effects meta-regression. Risk ratios (RRs) for long-term exposure and percent changes in outcomes for short-term exposure were calculated per 10 μg/m3 PM2.5 increase. Quality of evidence of risk differences by sex was rated following Grading of Recommendations Assessment, Development and Evaluation (GRADE). A total of 12,502 articles were screened, with 61 meeting inclusion criteria. An additional 32 studies were added from citation chaining. RRs of all CVD mortality for long-term PM2.5 for men and women were the same (1.14; 95% CI: 1.09, 1.22) indicating no statistically different risks. Men and women did not have statistically different risks of daily CVD mortality, hospitalizations from all CVD, ischemic heart disease, cardiac arrest, acute myocardial infarction, and heart failure from short-term PM2.5 exposure (difference in % change in risk per 10 μg/m3 PM2.5: 0.04 (95% CI, -0.42 to 0.51); -0.05 (-0.47 to 0.38); 0.17 (-0.90, 1.24); 1.42 (-1.06, 3.97); 1.33 (-0.05, 2.73); and -0.48 (-1.94, 1.01), respectively). Analysis using GRADE found low or very low quality of evidence for sex differences for PM2.5-CVD risks. In conclusion, this meta-analysis and quality of evidence assessment of current observational studies found very limited evidence of the effect modification by sex for effects of PM2.5 on CVD outcomes in adults, which can inform clinical approaches and policies.
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Affiliation(s)
- Seulkee Heo
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Ji-Young Son
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Chris C Lim
- School of the Environment, Yale University, New Haven, CT, United States of America
- Community, Environment & Policy Department, Mel & Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States of America
| | - Kelvin C Fong
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Hayon Michelle Choi
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Raul U Hernandez-Ramirez
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | - Kate Nyhan
- Harvey Cushing / John Hay Whitney Medical Library, Yale School of Public Health, Yale University, New Haven, CT, United States of America
- Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | | | | | - Dorairaj Prabhakaran
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Donna Spiegelman
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, United States of America
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Zhang J, Wang X, Yan M, Shan A, Wang C, Yang X, Tang N. Sex Differences in Cardiovascular Risk Associated With Long-Term PM 2.5 Exposure: A Systematic Review and Meta-Analysis of Cohort Studies. Front Public Health 2022; 10:802167. [PMID: 35186842 PMCID: PMC8847390 DOI: 10.3389/fpubh.2022.802167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/11/2022] [Indexed: 12/30/2022] Open
Abstract
Background Established evidence suggests risks of developing cardiovascular disease are different by sex. However, it remains unclear whether associations of PM2.5 with cardiovascular risk are comparable between women and men. The meta-analysis aimed to examine sex differences in associations of ischemic heart disease (IHD) and stroke with long-term PM2.5 exposure. Methods PubMed, EMBASE and Cochrane Library were searched until May 2, 2021. We included cohort studies reporting sex-specific associations of long-term PM2.5 exposure (e.g., ≥1 year) with IHD and stroke. The primary analysis was to estimate relative risk (RR) of PM2.5-outcome in women and men separately, and the additional women-to-men ratio of RR (RRR) was explored to compare sex differences, using random-effect models. Results We identified 25 eligible studies with 3.6 million IHD and 1.3 million stroke cases among 63.7 million participants. A higher level of PM2.5 exposure was significantly associated with increased risk of IHD in both women (RR = 1.21; 95% CI, 1.15–1.27) and men (RR = 1.12; 95% CI, 1.07–1.17). The women-to-men RRR of IHD was 1.05 (95% CI, 1.02–1.08) per 10 μg/m3 increment in PM2.5 exposure, indicating significant excess risk of IHD in women. The significant risks of stroke associated with PM2.5 were obtained in both women (RR = 1.11; 95% CI, 1.08–1.13) and men (RR = 1.11; 95% CI, 1.07–1.14), but no significant women-to-men RRR was observed in stroke (RRR = 1.00; 95% CI, 0.96–1.04). Conclusions The study identified excess risk of IHD associated with long-term PM2.5 exposure in women. The findings would not only have repercussions on efforts to precisely evaluate the burden of IHD attributable to PM2.5, but would also provide novel clues for cardiovascular risk prevention accounting for sex-based differences.
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Affiliation(s)
- Jia Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, China.,Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xinyan Wang
- Center for Reproductive Medicine, Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin, China
| | - Mengfan Yan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Chao Wang
- Department of Epidemiology and Biostatistics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Beijing, China.,Department of Molecular Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Beijing, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
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Gul S, Khan GM, Yousaf S. Multi-step short-term [Formula: see text] forecasting for enactment of proactive environmental regulation strategies. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:386. [PMID: 35445884 PMCID: PMC9022063 DOI: 10.1007/s10661-022-10029-4] [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: 03/02/2022] [Accepted: 04/05/2022] [Indexed: 06/14/2023]
Abstract
Particulate matter is one of the key contributors of air pollution and climate change. Long-term exposure to constituents of air pollutants has exerted serious health implications in both humans and plants leading to a detrimental impact on economy. Among the pollutants contributing to air quality determination, particulate matter has been linked to serious health implications causing pulmonary complications, cardiovascular diseases, growth retardation and ultimately death. In agriculture, crop yield is also negatively impacted by the deposition of particulate matter on stomata of the plant which is alarming and can cause food security concerns. The deleterious impact of air pollutants on human health, agricultural and economic well-being highlights the importance of quantifying and forecasting particulate matter. Several deterministic and deep learning models have been employed in the recent years to forecast the concentration of particulate matter. Among them, deep learning models have shown promising results when it comes to modeling time series data and forecasting it. We have explored recurrent neural networks with LSTM model which shows potential to predict the particulate matter ([Formula: see text]) based on multi-step multi-variate data of two of the most polluted regions of South Asia, Beijing, China and Punjab, Pakistan effectively. The LSTM model is tuned using Bayesian optimization technique to employ the appropriate hyper-parameters and weight initialization strategies based on the dataset. The model was able to predict [Formula: see text] for the next hour with root-mean-square error (RMSE) of 0.1913 (91.5% accuracy) and this error gradually increases with the number of time steps with next 24 hours steps prediction having RMSE of 0.7290. While in case of Punjab dataset with data recorded once a day, the RMSE for the next day forecast is 0.2192. These multi-step short-term forecasts would play a pivotal role in establishing an early warning system based on the air quality index (AQI) calculated and enable the government in enacting policies to contain it.
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Affiliation(s)
- Saba Gul
- School Of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan
- National Center of Artificial Intelligence, University of Engineering and Technology, Peshawar, Pakistan
| | - Gul Muhammad Khan
- National Center of Artificial Intelligence, University of Engineering and Technology, Peshawar, Pakistan
| | - Sohail Yousaf
- National Center of Artificial Intelligence, University of Engineering and Technology, Peshawar, Pakistan
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Cheng I, Yang J, Tseng C, Wu J, Conroy SM, Shariff-Marco S, Lin Gomez S, Whittemore AS, Stram DO, Le Marchand L, Wilkens LR, Ritz B, Wu AH. Outdoor ambient air pollution and breast cancer survival among California participants of the Multiethnic Cohort Study. ENVIRONMENT INTERNATIONAL 2022; 161:107088. [PMID: 35063793 PMCID: PMC10908249 DOI: 10.1016/j.envint.2022.107088] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/27/2021] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Within the Multiethnic Cohort (MEC), we examined the association between air pollution and mortality among African American, European American, Japanese American, and Latina American women diagnosed with breast cancer. METHODS We used a land use regression (LUR) model and kriging interpolation to estimate nitrogen oxides (NOx , NO2) and particulate matter (PM2.5, PM10) exposures for 3,089 breast cancer cases in the MEC, who were diagnosed from 1993 through 2013 and resided largely in Los Angeles County, California. Cox proportional hazards models were used to examine the association of time-varying air pollutants with all-cause, breast cancer, cardiovascular disease (CVD), and non-breast cancer/non-CVD mortality, accounting for key covariates. RESULTS We identified 1,125 deaths from all causes (474 breast cancer, 272 CVD, 379 non-breast cancer/non-CVD deaths) among the 3,089 breast cancer cases with 8.1 years of average follow-up. LUR and kriged NOX (per 50 ppb) and NO2 (per 20 ppb), PM2.5 (per 10 µg/m3), and PM10 (per 10 µg/m3) were positively associated with risks of all-cause (Hazard Ratio (HR) range = 1.13-1.25), breast cancer (HR range = 1.19-1.45), and CVD mortality (HR range = 1.37-1.60). Associations were statistically significant for LUR NOX and CVD mortality (HR = 1.60; 95% CI: 1.08-2.37) and kriged NO2 and breast cancer mortality (HR = 1.45; 95% CI 1.02-2.07). Gaseous and PM pollutants were positively associated with breast cancer mortality across racial/ethnic group. CONCLUSION In this study, air pollutants have a harmful impact on breast cancer survival. Additional studies should evaluate potential confounding by socioeconomic factors. These data support maintaining clean air laws to improve survival for women with breast cancer.
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Affiliation(s)
- Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA; University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA.
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Chiuchen Tseng
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jun Wu
- Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, CA, USA
| | - Shannon M Conroy
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, USA
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA; University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA
| | - Scarlett Lin Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA; University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA
| | | | - Daniel O Stram
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Lynne R Wilkens
- Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Beate Ritz
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Zhang Y, Li Z, Wei J, Zhan Y, Liu L, Yang Z, Zhang Y, Liu R, Ma Z. Longitudinal association between ambient nitrogen dioxide exposure and all-cause mortality in Chinese adults. J Adv Res 2022; 41:13-22. [DOI: 10.1016/j.jare.2022.02.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/18/2022] [Accepted: 02/16/2022] [Indexed: 12/01/2022] Open
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Kazemiparkouhi F, Honda T, Eum KD, Wang B, Manjourides J, Suh HH. The impact of Long-Term PM 2.5 constituents and their sources on specific causes of death in a US Medicare cohort. ENVIRONMENT INTERNATIONAL 2022; 159:106988. [PMID: 34933236 DOI: 10.1016/j.envint.2021.106988] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 11/10/2021] [Accepted: 11/15/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Our understanding of the impact of long-term exposures to PM2.5 constituents and sources on mortality is limited. OBJECTIVES To examine associations between long-term exposures to PM2.5 constituents and sources and cause-specific mortality in US older adults. METHODS We obtained demographic and mortality data for 15.4 million Medicare beneficiaries living within the conterminous United States (US) between 2000 and 2008. We assessed PM2.5 constituents exposures for each beneficiary and used factor analysis and residual-based methods to characterize PM2.5 sources and mixtures, respectively. In age-, sex-, race- and site- stratified Cox proportional hazard models adjusted for neighborhood socio-economic status (SES), we assessed associations of individual PM2.5 constituents, sources, and mixtures and cause-specific mortality and examined modification of these associations by participant demographics and location of residence. We assessed the robustness of our findings to additional adjustment for behavioral risk factors and to alternate exposure definitions and exposure windows. RESULTS Hazard ratios (HR) were highest for all causes of death, except COPD, for PM2.5 constituents and the coal combustion-related PM2.5 components, with no evidence of confounding by behavioral covariates. We further found Pb and metal-related PM2.5 components to be significantly associated with increased HR of all causes of death, except COPD and lung cancer mortality, and nitrate (NO3-) and silicon (Si) and associated source-related PM2.5 components (traffic and soil, respectively) to be significantly associated with increased all-cause, CVD, respiratory and all cancer-related mortality HR. Associations for other examined constituents and mortality were inconsistent or largely null. Our analyses of mixtures were generally consistent with these findings. Mortality HRs were greatest for minority, especially Black, low-income urban, younger, and male beneficiaries. DISCUSSION PM2.5 components related to coal combustion, traffic, and to a lesser extent, soil were strongly associated with mortality from CVD, respiratory disease, and cancer.
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Affiliation(s)
| | - Trenton Honda
- Bouvè College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Ki-Do Eum
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA
| | - Bingyu Wang
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Justin Manjourides
- Bouvè College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Helen H Suh
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA.
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Personal Exposure to Fine Particles (PM 2.5) in Northwest Africa: Case of the Urban City of Bamako in Mali. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19010611. [PMID: 35010869 PMCID: PMC8744751 DOI: 10.3390/ijerph19010611] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/30/2021] [Accepted: 01/01/2022] [Indexed: 02/01/2023]
Abstract
Personal exposure to particulate matter (PM) from anthropogenic activities is a major concern in African countries, including Mali. However, knowledge of particulates is scant. This study was undertaken to characterize personal exposure to PM2.5 microns or less in diameter (PM2.5) in the city of Bamako in Mali. The exposure to PM2.5, through daily activities was observed from September 2020 to February 2021. Participants wore palm-sized optical PM2.5 sensors on their chest during their daily activities. The exposure levels in four different groups of residents were investigated in relation to their daily activities. The variation in PM2.5 concentration was measured during different activities in different microenvironments, and the main sources of exposure were identified. The highest average 10 min concentrations were observed at home and in bedrooms, while the participants were using specific products typically used in Africa, Asia, and South America that included insecticides (IST; 999 µg/m3) and incense (ICS; 145 µg/m3), followed by traffic (216 µg/m3) and cooking (150 µg/m3). The lowest average 10 min concentrations were also observed in the same microenvironment lacking IST or ICS (≤14 µg/m3). With no use of specific products, office workers and students were the least exposed, and drivers and cooks were the most exposed. The concentrations are up to 7.5 and 3 times higher than the World Health Organization's yearly and daily recommended exposure levels, respectively, indicating the need to promptly elaborate and apply effective mitigation strategies to improve air quality and protect public health. This study highlights the importance of indoor air pollution sources related to culture and confirms previous studies on urban outdoor air pollution sources, especially in developing countries. The findings could be applied to cities other than Bamako, as similar practices and lifestyles are common in different cultures.
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Ambient air pollution associated with lower academic achievement among US children: A nationwide panel study of school districts. Environ Epidemiol 2021; 5:e174. [PMID: 34909554 PMCID: PMC8663889 DOI: 10.1097/ee9.0000000000000174] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 09/28/2021] [Indexed: 12/31/2022] Open
Abstract
Supplemental Digital Content is available in the text. Background: Ambient air pollution is an important environmental exposure and has been linked with impaired cognitive function. Few studies have investigated its impact on children’s academic performance on a nationwide level. We hypothesize that higher ambient air pollution concentrations will be associated with lower average academic test scores. Methods: We investigated three prevalent ambient air pollutants: PM2.5, NO2 and ozone, and their associations with the average academic test scores, at the Geographic School District (GSD) level, of the third to eighth grade students in the United States from 2010 to 2016. We applied multivariate linear regression and controlled for urbanicity, socioeconomic status, student racial/ethnic compositions, and individual intercepts for each district-grade level and each year. Results: We found that an interquartile range increase in PM2.5 concentrations was associated with a 0.007 (95% confidence interval: 0.005, 0.009) SD lower average math test scores, and a 0.004 (95% confidence interval: 0.002, 0.005) SD lower average English language/arts test scores. Similar associations were observed for NO2 and ozone on math, and for NO2 on English language/arts. The magnitudes of these associations are equivalent to the effects of short-term reductions of thousands of dollars in district median household income. The reductions in test scores were larger for GSDs with higher socioeconomic status, though most associations remained negative at all socioeconomic levels. Conclusions: Our results show that ambient air pollution within a GSD is associated with lower academic performance among children. Further improving air quality may benefit children’s overall academic achievement and socioeconomic attainment across the lifespan.
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The cardiovascular effects of air pollution: Prevention and reversal by pharmacological agents. Pharmacol Ther 2021; 232:107996. [PMID: 34571110 PMCID: PMC8941724 DOI: 10.1016/j.pharmthera.2021.107996] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 08/11/2021] [Indexed: 12/15/2022]
Abstract
Air pollution is associated with staggering levels of cardiovascular morbidity and mortality. Airborne particulate matter (PM), in particular, has been associated with a wide range of detrimental cardiovascular effects, including impaired vascular function, raised blood pressure, alterations in cardiac rhythm, blood clotting disorders, coronary artery disease, and stroke. Considerable headway has been made in elucidating the biological processes underlying these associations, revealing a labyrinth of multiple interacting mechanistic pathways. Several studies have used pharmacological agents to prevent or reverse the cardiovascular effects of PM; an approach that not only has the advantages of elucidating mechanisms, but also potentially revealing therapeutic agents that could benefit individuals that are especially susceptible to the effects of air pollution. This review gathers investigations with pharmacological agents, offering insight into the biology of how PM, and other air pollutants, may cause cardiovascular morbidity.
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Xu L, Zhao Q, Li D, Luo J, Ma W, Jin Y, Li C, Chen J, Zhao K, Zheng Y, Yu D. MicroRNA-760 resists ambient PM 2.5-induced apoptosis in human bronchial epithelial cells through elevating heme-oxygenase 1 expression. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 284:117213. [PMID: 33933780 DOI: 10.1016/j.envpol.2021.117213] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/31/2021] [Accepted: 04/19/2021] [Indexed: 06/12/2023]
Abstract
PM2.5 (particles matter smaller aerodynamic diameter of 2.5 μm) exposure, a major environmental risk factor for the global burden of diseases, is associated with high risks of respiratory diseases. Heme-oxygenase 1 (HMOX1) is one of the major molecular antioxidant defenses to mediate cytoprotective effects against diverse stressors, including PM2.5-induced toxicity; however, the regulatory mechanism of HMOX1 expression still needs to be elucidated. In this study, using PM2.5 as a typical stressor, we explored whether microRNAs (miRNAs) might modulate HMOX1 expression in lung cells. Systematic bioinformatics analysis showed that seven miRNAs have the potentials to target HMOX1 gene. Among these, hsa-miR-760 was identified as the most responsive miRNA to PM2.5 exposure. More importantly, we revealed a "non-conventional" miRNA function in hsa-miR-760 upregulating HMOX1 expression, by targeting the coding region and interacting with YBX1 protein. In addition, we observed that exogenous hsa-miR-760 effectively elevated HMOX1 expression, reduced the reactive oxygen agents (ROS) levels, and rescued the lung cells from PM2.5-induced apoptosis. Our results revealed that hsa-miR-760 might play an important role in protecting lung cells against PM2.5-induced toxicity, by elevating HMOX1 expression, and offered new clues to elucidate the diverse functions of miRNAs.
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Affiliation(s)
- Lin Xu
- School of Public Health, Qingdao University, Qingdao, China
| | - Qianwen Zhao
- School of Public Health, Qingdao University, Qingdao, China
| | - Daochuan Li
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiao Luo
- School of Public Health, Qingdao University, Qingdao, China
| | - Wanli Ma
- School of Public Health, Qingdao University, Qingdao, China
| | - Yuan Jin
- School of Public Health, Qingdao University, Qingdao, China
| | - Chuanhai Li
- School of Public Health, Qingdao University, Qingdao, China
| | - Jing Chen
- School of Public Health, Qingdao University, Qingdao, China
| | - Kunming Zhao
- School of Public Health, Qingdao University, Qingdao, China
| | - Yuxin Zheng
- School of Public Health, Qingdao University, Qingdao, China
| | - Dianke Yu
- School of Public Health, Qingdao University, Qingdao, China.
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Vasquez-Apestegui BV, Parras-Garrido E, Tapia V, Paz-Aparicio VM, Rojas JP, Sanchez-Ccoyllo OR, Gonzales GF. Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis. BMC Public Health 2021; 21:1161. [PMID: 34134699 PMCID: PMC8208068 DOI: 10.1186/s12889-021-11232-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 06/07/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) originated in the People's Republic of China in December 2019. Thereafter, a global logarithmic expansion of cases occurred. Some countries have a higher rate of infections despite the early implementation of quarantine. Air pollution might be related to high susceptibility to the virus and associated case fatality rates (deaths/cases*100). Lima, Peru, has the second highest incidence of COVID-19 in Latin America and also has one the highest levels of air pollution in the region. METHODS This study investigated the association of levels of PM2.5 exposure in previous years (2010-2016) in 24 districts of Lima with cases, deaths and case fatality rates for COVID-19. Multiple linear regression was used to evaluate this association controlled by age, sex, population density and number of food markets per district. The study period was from March 6 to June 12, 2020. RESULTS There were 128,700 cases in Lima and 2382 deaths due to COVID-19. The case fatality rate was 1.93%. Previous exposure to PM2.5 (2010-2016) was associated with the number of COVID-19- cases (β = 0.07; 95% CI: 0.034-0.107) and deaths (β = 0.0014; 95% CI: 0.0006-0.0.0023) but not with the case fatality rate. CONCLUSIONS After adjusting for age, sex and number of food markets, the higher rates of COVID-19 in Metropolitan Lima are attributable to the increased PM2.5 exposure in the previous years, among other reasons. Reduction in air pollution from a long-term perspective and social distancing are needed to prevent the spread of virus outbreaks.
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Affiliation(s)
- Bertha V. Vasquez-Apestegui
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
- Laboratory of Endocrinology and Reproduction, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
| | - Enrique Parras-Garrido
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
| | - Vilma Tapia
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
| | - Valeria M. Paz-Aparicio
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
| | - Jhojan P. Rojas
- National Meteorology and Hydrology Service (SENAMHI), Deputy Director of Evaluation of the Atmospheric Environment, Jr. Cahuide 785, Lima, Peru
| | - Odón R. Sanchez-Ccoyllo
- Atmospheric Pollution Research Group, Professional Career of Environmental Engineering, Universidad Nacional Tecnológica de Lima Sur, Sector 3 Grupo 1A 03 - Cercado (Av. Central y Av. Bolivar), Lima, Peru
| | - Gustavo F. Gonzales
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
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Zhang Y. All-Cause Mortality Risk and Attributable Deaths Associated with Long-Term Exposure to Ambient PM 2.5 in Chinese Adults. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:6116-6127. [PMID: 33870687 DOI: 10.1021/acs.est.0c08527] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Several recent studies in China have associated raised mortality risks with chronic exposure to ambient PM2.5. However, cohort evidence covering general populations and more homogeneous regions is extensively scarce. We conceived a nationwide perspective cohort study from 2010 through 2018, by enrolling 30 946 adult men and women aged 16-110 years from 25 provincial regions in mainland China. Cox proportional hazards models with time-varying exposures were adopted to quantify longitudinal association of PM2.5 exposure with all-cause mortality. A total of 1762 death events occurred during a median follow-up of 8.1 years. Participants were exposed to a broad range of annual mean PM2.5 concentrations (2.4-112 μg/m3), with an average estimate of 47.5 μg/m3. A 10-μg/m3 increase in annual average of PM2.5 exposure was associated with an hazard ratio of 1.055 (95% confidence interval: 1.022-1.088, p < 0.001) for all-cause mortality. We estimated totally 2.68 million deaths attributable to ambient PM2.5 in 2015, yielding a remarkable reduction of 36.7 thousand compared to the estimate in 2010 (2.72 million deaths). This study added nationally representative evidence regarding concentration-response function for long-term PM2.5-mortality association in Chinese adults, which may significantly contribute to national and global assessments of PM2.5-attributable death burden.
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Affiliation(s)
- Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China
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Nirel R, Levy I, Adar SD, Vakulenko-Lagun B, Peretz A, Golovner M, Dayan U. Concentration-response relationships between hourly particulate matter and ischemic events: A case-crossover analysis of effect modification by season and air-mass origin. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 760:143407. [PMID: 33199016 DOI: 10.1016/j.scitotenv.2020.143407] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 10/13/2020] [Accepted: 10/28/2020] [Indexed: 05/13/2023]
Abstract
Most studies linking cardiovascular disease with particulate matter (PM) exposures have focused on total mass concentrations, regardless of their origin. However, the origin of an air mass is inherently linked to particle composition and possible toxicity. We examine how the concentration-response relation between hourly PM exposure and ischemic events is modified by air-mass origin and season. Using telemedicine data, we conducted a case-crossover study of 1855 confirmed ischemic cardiac events in Israel (2005-2013). Based on measurements at three fixed-sites in Tel Aviv and Haifa, ambient PM with diameter < 2.5 μm (PM2.5) and 2.5-10 μm (PM10-2.5) concentrations during the hours before event onset were compared with matched control periods using conditional logistic regression that allowed for non-linearity. We also examined effect modification of these associations based on the geographical origin of each air mass by season. Independent of the geographical origin of the air mass, we observed concentration-response curves that were supralinear. For example, the overall odds ratios (ORs) of ischemic events for an increase of 10-μg/m3 in the 2-h average of PM10-2.5 were 1.08 (95% confidence interval (CI): 1.03-1.14) and 1.00 (0.99-1.01) at the median (17.8 μg/m3) and 95th percentile (82.3 μg/m3) values, respectively. Associations were strongest at low levels of PM10-2.5 when air comes from central Europe in the summer (OR: 1.27; 95% CI: 1.06, 1.52). Our study demonstrates that hourly associations between PM2.5 and PM10-2.5 and ischemic cardiac events are supralinear during diverse pollution conditions in a single population that experiences a wide range of exposure levels.
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Affiliation(s)
- Ronit Nirel
- Department of Statistics and Data Science, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Ilan Levy
- Air quality and Climate Change Division, Israel Ministry for Environment Protection, Jerusalem, Israel.
| | - Sara D Adar
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
| | - Bella Vakulenko-Lagun
- Department of Statistics and Data Science, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Alon Peretz
- Occupational Medicine Clinic, Rabin Medical Center, Petah Tiqua, Israel.
| | | | - Uri Dayan
- Department of Geography, The Hebrew University of Jerusalem, Jerusalem, Israel.
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Vasquez-Apestegui BV, Parras-Garrido E, Tapia V, Paz-Aparicio VM, Rojas JP, Sánchez-Ccoyllo OR, Gonzales GF. "Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis.". RESEARCH SQUARE 2021:rs.3.rs-39404. [PMID: 36575760 PMCID: PMC9793838 DOI: 10.21203/rs.3.rs-39404/v2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background Corona virus disease (COVID-19) originated in China in December 2019. Thereafter, a global logarithmic expansion of the cases has occurred. Some countries have a higher rate of infections despite of early implementation of quarantine. Air pollution could be related to the high susceptibility to SARS-CoV-2 and the associated case-fatality rates (deaths/cases*100). Lima, Peru has the second highest incidence of COVID-19 in Latin America, and it is also one of the cities with highest levels of air pollution in the Region. Methods This study investigated the association of the levels of PM 2.5 exposure in the previous years (2010-2016) in 24 districts of Lima with the positive-cases, deaths and case-fatality rates of COVID-19. Multiple Linear regression was used to evaluate this association controlled by age, sex, population density and number of food markets per district. The study period was from March 6 to June 12, 2020. Results There were in Lima 128,700 SARS-CoV-2 positive cases, and 2,382 deaths due to COVID-19. The case-fatality rate was 1.93%. Previous exposure to PM 2.5 (years 2010-2016) was associated with number of Covid-19 positive-cases ( β = 0.07; 95% CI: 0.034-0.107) and deaths ( β = 0.0014; 95% CI: 0.0006-0.0.0023), but not with case-fatality rate. Conclusions the higher rates of COVID-19 in Metropolitan Lima is attributable, among others, to the increased PM 2.5 exposure in the previous years after adjusting for age, sex and number of food markets. Reduction of air pollution since a long-term perspective, and social distancing are needed to prevent spreads of virus outbreak.
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Stevens KA, Bryer TA, Yu H. Air Quality Enhancement Districts: democratizing data to improve respiratory health. JOURNAL OF ENVIRONMENTAL STUDIES AND SCIENCES 2021; 11:702-707. [PMID: 33564611 PMCID: PMC7861584 DOI: 10.1007/s13412-021-00670-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/28/2021] [Indexed: 06/12/2023]
Abstract
The U.S. Centers for Disease Control and Prevention has recently acknowledged that the principal mode for SARS-CoV-2 (the virus that causes COVID-19) to spread is through airborne particles. Reducing levels of particulate matter, a form of air pollutant, may decrease the spread of the virus and save lives. In this article, we propose establishing local Air Quality Enhancement Districts using low-cost air quality sensors. Air quality sensors provide more detailed data on particulate matter concentrations than what is currently provided by the U.S. Environmental Protection Agency, which will allow communities and individuals to make better informed decisions about activities during poor air quality days. The core principles behind local Air Quality Enhancement Districts is to (1) provide citizens with more localized data on air quality, (2) raise awareness on localized pollution and health impacts related to COVID-19, and (3) empower citizens and local governments to take quick actions to reduce exposure and respiratory distress during times of poor air quality.
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Affiliation(s)
- Kelly A. Stevens
- University of Central Florida, School of Public Administration, Orlando, FL USA
| | - Thomas A. Bryer
- University of Central Florida, School of Public Administration, Orlando, FL USA
| | - Haofei Yu
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL USA
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