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Evangelopoulos D, Zhang H, Chatzidiakou L, Walton H, Katsouyanni K, Jones RL, Quint JK, Barratt B. Air pollution and respiratory health in patients with COPD: should we focus on indoor or outdoor sources? Thorax 2024:thorax-2024-221874. [PMID: 39375040 DOI: 10.1136/thorax-2024-221874] [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: 05/03/2024] [Accepted: 08/21/2024] [Indexed: 10/09/2024]
Abstract
INTRODUCTION While associations between ambient air pollution and respiratory health in chronic obstructive pulmonary disease (COPD) patients are well studied, little is known about individuals' personal exposure to pollution and associated health effects by source. AIM To separate measured total personal exposure into indoor-generated and outdoor-generated pollution and use these improved metrics in health models for establishing more reliable associations with exacerbations and respiratory symptoms. METHODS We enrolled a panel of 76 patients with COPD and continuously measured their personal exposure to particles and gaseous pollutants and location with portable monitors for 134 days on average. We collected daily health information related to respiratory symptoms through diary cards and peak expiratory flow (PEF). Mixed-effects models were applied to quantify the relationship between total, indoor-generated and outdoor-generated personal exposures to pollutants with exacerbation and symptoms occurrence and PEF. RESULTS Exposure to nitrogen dioxide from both indoor and outdoor sources was associated with exacerbations and respiratory symptoms. We observed an increase of 33% (22%-45%), 19% (12%-18%) and 12% (5%-20%) in the odds of exacerbation for an IQR increase in total, indoor-generated and outdoor-generated exposures. For carbon monoxide, health effects were mainly attributed to indoor-generated pollution. While no associations were observed for particulate matter2.5 with COPD exacerbations, indoor-generated particles were associated with a significant decrease in PEF. CONCLUSIONS Indoor-generated and outdoor-generated pollution can deteriorate COPD patients' health. Policy-makers, physicians and patients with COPD should note the importance of decreasing exposure equally to both source types to decrease risk of exacerbation.
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Affiliation(s)
- Dimitris Evangelopoulos
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College London, London, UK
| | - Hanbin Zhang
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College London, London, UK
- European Centre for Environment and Human Health, University of Exeter, Exeter, UK
| | - Lia Chatzidiakou
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Heather Walton
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College London, London, UK
| | - Klea Katsouyanni
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College London, London, UK
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Roderic L Jones
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Jennifer K Quint
- National Heart and Lung Institute, Imperial College London, London, UK
- School of Public Health, Imperial College London, London, UK
| | - Benjamin Barratt
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
- NIHR HPRU in Environmental Exposures and Health, Imperial College London, London, UK
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Khraishah H, Chen Z, Rajagopalan S. Understanding the Cardiovascular and Metabolic Health Effects of Air Pollution in the Context of Cumulative Exposomic Impacts. Circ Res 2024; 134:1083-1097. [PMID: 38662860 PMCID: PMC11253082 DOI: 10.1161/circresaha.124.323673] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Poor air quality accounts for more than 9 million deaths a year globally according to recent estimates. A large portion of these deaths are attributable to cardiovascular causes, with evidence indicating that air pollution may also play an important role in the genesis of key cardiometabolic risk factors. Air pollution is not experienced in isolation but is part of a complex system, influenced by a host of other external environmental exposures, and interacting with intrinsic biologic factors and susceptibility to ultimately determine cardiovascular and metabolic outcomes. Given that the same fossil fuel emission sources that cause climate change also result in air pollution, there is a need for robust approaches that can not only limit climate change but also eliminate air pollution health effects, with an emphasis of protecting the most susceptible but also targeting interventions at the most vulnerable populations. In this review, we summarize the current state of epidemiologic and mechanistic evidence underpinning the association of air pollution with cardiometabolic disease and how complex interactions with other exposures and individual characteristics may modify these associations. We identify gaps in the current literature and suggest emerging approaches for policy makers to holistically approach cardiometabolic health risk and impact assessment.
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Affiliation(s)
- Haitham Khraishah
- Division of Cardiovascular Medicine, University of Maryland Medical Center, Baltimore (H.K.)
| | - Zhuo Chen
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (Z.C., S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (Z.C., S.R.)
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (Z.C., S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (Z.C., S.R.)
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Ramamoorthy T, Nath A, Singh S, Mathew S, Pant A, Sheela S, Kaur G, Sathishkumar K, Mathur P. Assessing the Global Impact of Ambient Air Pollution on Cancer Incidence and Mortality: A Comprehensive Meta-Analysis. JCO Glob Oncol 2024; 10:e2300427. [PMID: 38513187 DOI: 10.1200/go.23.00427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/14/2023] [Accepted: 01/30/2024] [Indexed: 03/23/2024] Open
Abstract
PURPOSE This study aims to examine the association between exposure to major ambient air pollutants and the incidence and mortality of lung cancer and some nonlung cancers. METHODS This meta-analysis used PubMed and EMBASE databases to access published studies that met the eligibility criteria. Primary analysis investigated the association between exposure to air pollutants and cancer incidence and mortality. Study quality was assessed using the Newcastle Ottawa Scale. Meta-analysis was conducted using R software. RESULTS The meta-analysis included 61 studies, of which 53 were cohort studies and eight were case-control studies. Particulate matter 2.5 mm or less in diameter (PM2.5) was the exposure pollutant in half (55.5%), and lung cancer was the most frequently studied cancer in 59% of the studies. A pooled analysis of exposure reported in cohort and case-control studies and cancer incidence demonstrated a significant relationship (relative risk [RR], 1.04 [95% CI, 1.02 to 1.05]; I2, 88.93%; P < .05). A significant association was observed between exposure to pollutants such as PM2.5 (RR, 1.08 [95% CI, 1.04 to 1.12]; I2, 68.52%) and nitrogen dioxide (NO2) (RR, 1.03 [95% CI, 1.01 to 1.05]; I2, 73.52%) and lung cancer incidence. The relationship between exposure to the air pollutants and cancer mortality demonstrated a significant relationship (RR, 1.08 [95% CI, 1.07 to 1.10]; I2, 94.77%; P < .001). Among the four pollutants, PM2.5 (RR, 1.15 [95% CI, 1.08 to 1.22]; I2, 95.33%) and NO2 (RR, 1.05 [95% CI, 1.02 to 1.08]; I2, 89.98%) were associated with lung cancer mortality. CONCLUSION The study confirms the association between air pollution exposure and lung cancer incidence and mortality. The meta-analysis results could contribute to community cancer prevention and diagnosis and help inform stakeholders and policymakers in decision making.
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Affiliation(s)
- Thilagavathi Ramamoorthy
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Anita Nath
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Shubhra Singh
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Stany Mathew
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Apourv Pant
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Samvedana Sheela
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Gurpreet Kaur
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Krishnan Sathishkumar
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Prashant Mathur
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
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Feng Y, Castro E, Wei Y, Jin T, Qiu X, Dominici F, Schwartz J. Long-term exposure to ambient PM2.5, particulate constituents and hospital admissions from non-respiratory infection. Nat Commun 2024; 15:1518. [PMID: 38374182 PMCID: PMC10876532 DOI: 10.1038/s41467-024-45776-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 02/05/2024] [Indexed: 02/21/2024] Open
Abstract
The association between PM2.5 and non-respiratory infections is unclear. Using data from Medicare beneficiaries and high-resolution datasets of PM2.5 and its constituents across 39,296 ZIP codes in the U.S between 2000 and 2016, we investigated the associations between annual PM2.5, PM2.5 constituents, source-specific PM2.5, and hospital admissions from non-respiratory infections. Each standard deviation (3.7-μg m-3) increase in PM2.5 was associated with a 10.8% (95%CI 10.8-11.2%) increase in rate of hospital admissions from non-respiratory infections. Sulfates (30.8%), Nickel (22.5%) and Copper (15.3%) contributed the largest weights in the observed associations. Each standard deviation increase in PM2.5 components sourced from oil combustion, coal burning, traffic, dirt, and regionally transported nitrates was associated with 14.5% (95%CI 7.6-21.8%), 18.2% (95%CI 7.2-30.2%), 20.6% (95%CI 5.6-37.9%), 8.9% (95%CI 0.3-18.4%) and 7.8% (95%CI 0.6-15.5%) increases in hospital admissions from non-respiratory infections. Our results suggested that non-respiratory infections are an under-appreciated health effect of PM2.5.
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Affiliation(s)
- Yijing Feng
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tingfan Jin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Nakhjirgan P, Kashani H, Kermani M. Exposure to outdoor particulate matter and risk of respiratory diseases: a systematic review and meta-analysis. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 46:20. [PMID: 38153542 DOI: 10.1007/s10653-023-01807-1] [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: 08/11/2023] [Accepted: 11/22/2023] [Indexed: 12/29/2023]
Abstract
According to epidemiological studies, particulate matter (PM) is an important air pollutant that poses a significant threat to human health. The relationship between particulate matter and respiratory diseases has been the subject of numerous studies, but these studies have produced inconsistent findings. The purpose of this systematic review was to examine the connection between outdoor particulate matter (PM2.5 and PM10) exposure and respiratory disorders (COPD, lung cancer, LRIs, and COVID-19). For this purpose, we conducted a literature search between 2012 and 2022 in PubMed, Web of Science, and Scopus. Out of the 58 studies that were part of the systematic review, meta-analyses were conducted on 53 of them. A random effect model was applied separately for each category of study design to assess the pooled association between exposure to PM2.5 and PM10 and respiratory diseases. Based on time-series and cohort studies, which are the priorities of the strength of evidence, a significant relationship between the risk of respiratory diseases (COPD, lung cancer, and COVID-19) was observed (COPD: pooled HR = 1.032, 95% CI: 1.004-1.061; lung cancer: pooled HR = 1.017, 95% CI: 1.015-1.020; and COVID-19: pooled RR = 1.004, 95% CI: 1.002-1.006 per 1 μg/m3 increase in PM2.5). Also, a significant relationship was observed between PM10 and respiratory diseases (COPD, LRIs, and COVID-19) based on time-series and cohort studies. Although the number of studies in this field is limited, which requires more investigations, it can be concluded that outdoor particulate matter can increase the risk of respiratory diseases.
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Affiliation(s)
- Pegah Nakhjirgan
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Homa Kashani
- Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Majid Kermani
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.
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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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Shehata SA, Toraih EA, Ismail EA, Hagras AM, Elmorsy E, Fawzy MS. Vaping, Environmental Toxicants Exposure, and Lung Cancer Risk. Cancers (Basel) 2023; 15:4525. [PMID: 37760496 PMCID: PMC10526315 DOI: 10.3390/cancers15184525] [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: 04/30/2023] [Revised: 06/18/2023] [Accepted: 06/22/2023] [Indexed: 09/29/2023] Open
Abstract
Lung cancer (LC) is the second-most prevalent tumor worldwide. According to the most recent GLOBOCAN data, over 2.2 million LC cases were reported in 2020, with an estimated new death incident of 1,796,144 lung cancer cases. Genetic, lifestyle, and environmental exposure play an important role as risk factors for LC. E-cigarette, or vaping, products (EVPs) use has been dramatically increasing world-wide. There is growing concern that EVPs consumption may increase the risk of LC because EVPs contain several proven carcinogenic compounds. However, the relationship between EVPs and LC is not well established. E-cigarette contains nicotine derivatives (e.g., nitrosnornicotine, nitrosamine ketone), heavy metals (including organometal compounds), polycyclic aromatic hydrocarbons, and flavorings (aldehydes and complex organics). Several environmental toxicants have been proven to contribute to LC. Proven and plausible environmental carcinogens could be physical (ionizing and non-ionizing radiation), chemicals (such as asbestos, formaldehyde, and dioxins), and heavy metals (such as cobalt, arsenic, cadmium, chromium, and nickel). Air pollution, especially particulate matter (PM) emitted from vehicles and industrial exhausts, is linked with LC. Although extensive environmental exposure prevention policies and smoking reduction strategies have been adopted globally, the dangers remain. Combined, both EVPs and toxic environmental exposures may demonstrate significant synergistic oncogenicity. This review aims to analyze the current publications on the importance of the relationship between EVPs consumption and environmental toxicants in the pathogenesis of LC.
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Affiliation(s)
- Shaimaa A. Shehata
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt; (S.A.S.); (A.M.H.)
| | - Eman A. Toraih
- Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA;
- Genetics Unit, Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Ezzat A. Ismail
- Department of Urology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt;
| | - Abeer M. Hagras
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt; (S.A.S.); (A.M.H.)
| | - Ekramy Elmorsy
- Department of Pathology, Faculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia;
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt
| | - Manal S. Fawzy
- Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia
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Lee PN, Coombs KJ, Hamling JS. Evidence relating cigarette, cigar and pipe smoking to lung cancer and chronic obstructive pulmonary disease: Meta-analysis of recent data from three regions. World J Meta-Anal 2023; 11:228-252. [DOI: 10.13105/wjma.v11.i5.228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/10/2023] [Accepted: 05/30/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND There is a need to have up-to-date information for various diseases on the risk related to the use of different smoked products and the use of other nicotine-containing products. Here, we contribute to the information pool by presenting up-to-date quantitative evidence for North America, Europe and Japan and for both lung cancer and chronic obstructive pulmonary disease (COPD) on the relative risk (RR) relating to current vs never product use for each of the three smoked tobacco products, cigarettes, cigars and pipes.
AIM To estimate lung cancer and COPD current smoking RRs for the three products using recent data for the three regions.
METHODS Publications in English from 2010 to 2020 were considered that, based on epidemiological studies in the three regions, estimated the current smoking RR of lung cancer and/or COPD for one or more of the three products. The studies should involve at least 100 cases of the disease considered, not be restricted to specific lung cancer types or populations with specific medical conditions, and should be of cohort or nested case-control study design or randomized controlled trials. Literature searches were conducted on MEDLINE separately for lung cancer and for COPD, examining titles and abstracts initially, and then full texts. Additional papers were sought from reference lists of selected papers, reviews and meta-analyses. For each study identified, the most recent available data on each product were entered on current smoking, as well as on characteristics of the study and the RR estimates. Combined RR estimates were derived using random-effects meta-analysis. For cigarette smoking, where far more data were available, heterogeneity was studied by a wide range of factors. For cigar and pipe smoking, a more limited heterogeneity analysis was carried out. Results were compared with those from previous meta-analyses published since 2000.
RESULTS Current cigarette smoking: For lung cancer, 44 studies (26 North American, 14 European, three Japanese, and one in multiple continents), gave an overall estimate of 12.14 [95% confidence interval (CI) 10.30-14.30]. The estimates were higher (heterogeneity P < 0.001) for North American (15.15, CI 12.77-17.96) and European studies (12.30, CI 9.77-15.49) than for Japanese studies (3.61, CI 2.87-4.55), consistent with previous evidence of lower RRs for Asia. RRs were higher (P < 0.05) for death (14.85, CI 11.99-18.38) than diagnosis (10.82, CI 8.61-13.60). There was some variation (P < 0.05) by study population, with higher RRs for international and regional studies than for national studies and studies of specific populations. RRs were higher in males, as previously reported, the within-study male/female ratio of RRs being 1.52 (CI 1.20-1.92). RRs did not vary significantly (P ≥ 0.05) by other factors. For COPD, RR estimates were provided by 18 studies (10 North American, seven European, and one Japanese). The overall estimate of 9.19 (CI 6.97-12.13), was based on heterogeneous data (P < 0.001), and higher than reported earlier. There was no (P > 0.1) variation by sex, region or exclusive use, but limited evidence (0.05 < P < 0.1) that RR estimates were greater where cases occurring shortly after baseline were ignored; where bronchiectasis was excluded from the COPD definition; and with greater confounder adjustment. Within-study comparisons showed adjusted RRs exceeded unadjusted RRs. Current cigar smoking: Three studies gave an overall lung cancer RR of 2.73 (CI 2.36-3.15), with no heterogeneity, lower than the 4.67 (CI 3.49-6.25) reported in an earlier review. Only one study gave COPD results, the RR (2.44, CI 0.98-6.05) being imprecise. Current pipe smoking: Four studies gave an overall lung cancer RR of 4.93 (CI 1.97-12.32), close to the 5.20 (CI 3.50-7.73) given earlier. However, the estimates were heterogeneous, with two above 10, and two below 3. Only one study gave COPD results, the RR (1.12, CI 0.29-4.40), being imprecise. For both diseases, the lower RR estimates for cigars and for pipes than for current smoking of cigarettes aligns with earlier published evidence.
CONCLUSION Current cigarette smoking substantially increases lung cancer and COPD risk, more so in North America and Europe than Japan. Limited evidence confirms lower risks for cigars and pipes than cigarettes.
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Affiliation(s)
- Peter Nicholas Lee
- Medical Statistics and Epidemiology, P.N.Lee Statistics and Computing Ltd., Sutton SM2 5DA, Surrey, United Kingdom
| | - Katharine J Coombs
- Statistics, P.N.Lee Statistics and Computing Ltd, Sutton SM2 5DA, Surrey, United Kingdom
| | - Jan S Hamling
- Statistics, RoeLee Statistics Ltd, Sutton SM2 5DA, United Kingdom
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Wang X, Wang T, Hua J, Cai M, Qian Z, Wang C, Li H, McMillin SE, Aaron HE, Xie C, Lin H. Histological types of lung cancer attributable to fine particulate, smoking, and genetic susceptibility. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159890. [PMID: 36334679 DOI: 10.1016/j.scitotenv.2022.159890] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 10/07/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Fine particulate matter (PM2.5), smoking, and genetic factors are associated with lung cancer. However, the relationship between PM2.5, smoking and subtypes of lung cancer remains unclear. Moreover, it is unclear whether genetic risk modifies the impact of PM2.5 and smoking on incident lung cancer. METHODS A total of 298,069 participants from the UK Biobank study without lung cancer at baseline were included in this study. Hazard ratios (HRs) with 95 % confidence intervals (CIs) were estimated using multivariable Cox proportional models for the association of lung cancer and its subtypes with PM2.5, smoking, and genetic risk. Potential gene-smoking or gene-PM2.5 interactions were also estimated. We further estimated population attributable fractions for incident lung cancer. RESULTS During 10.4 years of follow-up, 1683 incident lung cancer cases were identified. Our analysis found that genetic variants, smoking, and PM2.5 were significantly associated with incident lung cancer. For different histological types of lung cancer, the HRs for squamous cell lung carcinoma associated with PM2.5 (per 5 μg/m3 increment) and current smoking were 2.76 (95 % CI: 1.72, 4.42, p < 0.001) and 48.64 (95 % CI: 27.96, 84.61, p < 0.001), while the HRs for lung adenocarcinoma were 1.59 (95 % CI: 1.13, 2.23, p < 0.001) and 9.89 (95 % CI: 7.91, 12.36, p < 0.001), respectively. We further found that participants with high levels of PM2.5 pollution and high genetic risk had the highest risk of incident lung cancer (HR = 1.81, 95 % CI: 1.39, 2.35, p < 0.001), while the interaction between PM2.5 and genetic risk was not statistically significant. We observed that the population attributable fractions of lung cancer attributable to current smoking and high PM2.5 exposure were estimated to be 67.45 % and 17.59 %. CONCLUSION Genetic susceptibility, smoking, and PM2.5 are important risk factors for lung cancer. Both smoking and PM2.5 are more closely associated with an elevated risk of squamous cell lung cancer.
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Affiliation(s)
- Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Tingting Wang
- Department of Public Health, Faculty of Medicine, Macau University of Science and Technology, China
| | - Junjie Hua
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, China
| | - Haitao Li
- Department of Social Medicine and Health Service Management, Health Science Center, Shenzhen University, China
| | | | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Chuanbo Xie
- Cancer Prevention Center, Sun Yat-sen University Cancer Center, China; State Key Laboratory of Oncology in South China, China; Collaborative Innovation Center for Cancer Medicine, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, China.
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10
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Feng Y, Wei Y, Coull BA, Schwartz JD. Measurement error correction for ambient PM 2.5 exposure using stratified regression calibration: Effects on all-cause mortality. ENVIRONMENTAL RESEARCH 2023; 216:114792. [PMID: 36375508 PMCID: PMC9729458 DOI: 10.1016/j.envres.2022.114792] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 11/01/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Previous studies on the impact of measurement error for PM2.5 were mostly simulation studies, did not control for other pollutants, or used a single regression calibration model to correct for measurement error. However, the relationship between actual and error-prone PM2.5 concentration may vary by time and region. We aim to correct the measurement error of PM2.5 predictions using stratified regression calibration and investigate how the measurement error biases the association between PM2.5 and mortality in the Medicare Cohort. METHODS The "gold-standard" measurements of PM2.5 were defined as daily monitoring data. We regressed daily monitoring PM2.5 on modeled PM2.5 using the simple linear regression by strata of season, elevation, census division and time period. Calibrated PM2.5 was calculated with stratum-specific calibration parameters β0 (intercept) and β1 (slope) for each strata and aggregated to annual level. Associations between calibrated and error-prone annual PM2.5 and all-cause mortality among Medicare beneficiaries were estimated with Quasi-Poisson regression models. RESULTS Across 208 strata, the median of β0 and β1 were 0.62 (25% 0.0.20, 75% 1.06) and 0.93 (25% 0.87, 75% 0.99). From calibrated and error-prone PM2.5 data, we estimated that each 10 μg/m3 increase in PM2.5 was respectively associated with 4.9% (95%CI 4.6-5.2) and 4.6% (95%CI 4.4-4.9) increases in the mortality rate among Medicare beneficiaries, conditional on confounders. CONCLUSIONS Regression calibration parameters of PM2.5 varied by time and region. Using error-prone measures of PM2.5 underestimated the association between PM2.5 and all-cause mortality. Modern exposure models produce relatively small bias.
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Affiliation(s)
- Yijing Feng
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel D Schwartz
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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11
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Yang SC, Lin FY, Wu TI, Wu CD, Wang JD. PM 2.5 exposure and risk of lung adenocarcinoma in women of Taiwan: A case-control study with density sampling. Respirology 2022; 27:951-958. [PMID: 35748064 DOI: 10.1111/resp.14316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 06/08/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND OBJECTIVE The prevalence of smoking among women in Taiwan is <5%, but the incidence of lung cancer remains high. This study determined the association between PM2.5 (fine particulate matter with an aerodynamic diameter of ≤2.5 μm) exposure and lung cancer among women in Taiwan. METHODS In total, 21,301 female lung cancer cases nationwide were newly diagnosed between 2012 and 2017. Each case was age-, sex- and calendar year-matched with four controls randomly selected from the general population. Allowing a latent period of 5 years, we estimated the PM2.5 and nitrogen dioxide (NO2 ) exposures for each individual according to the residential changes from 2000. We adopted self-reported smoking statuses for the cases, while those of controls were estimated using annual surveys in each residential county. We performed multiple logistic regression analyses to examine the associations between PM2.5 and NO2 exposures and incident lung cancer cases. RESULTS The ORs of lung adenocarcinoma for the third (30.5-35.1 μg/m3 ), fourth (35.1-39.3 μg/m3 ) and fifth PM2.5 exposure quintiles (39.3-48.1 μg/m3 ) relative to the first quintile were 1.10 (95% CI: 1.04-1.16), 1.12 (95% CI: 1.06-1.19) and 1.10 (95% CI: 1.04-1.16), respectively, after adjusting for smoking, residence and comorbidities. A dose-response relationship (p = 0.004) was found. The associations persisted with a 10-year latency and were not detected for small-cell and squamous cell carcinoma after control for smoking. We did not observe a similar effect for NO2 exposure. CONCLUSION Residential PM2.5 exposure higher than 30 μg/m3 was associated with an increased risk of lung adenocarcinoma in women of Taiwan.
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Affiliation(s)
- Szu-Chun Yang
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Fang-Yu Lin
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Tzu-I Wu
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan.,National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Jung-Der Wang
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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12
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Chen Z, Liu N, Tang H, Gao X, Zhang Y, Kan H, Deng F, Zhao B, Zeng X, Sun Y, Qian H, Liu W, Mo J, Zheng X, Huang C, Sun C, Zhao Z. Health effects of exposure to sulfur dioxide, nitrogen dioxide, ozone, and carbon monoxide between 1980 and 2019: A systematic review and meta-analysis. INDOOR AIR 2022; 32:e13170. [PMID: 36437665 DOI: 10.1111/ina.13170] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/23/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
The burden of disease attributed to the indoor exposure to sulfur dioxide (SO2 ), nitrogen dioxide (NO2 ), ozone (O3 ), and carbon monoxide (CO) is not clear, and the quantitative concentration-response relationship is a prerequisite. This is a systematic review to summarize the quantitative concentration-response relationships by screening and analyzing the polled effects of population-based epidemiological studies. After collecting literature published between 1980 and 2019, a total of 19 health outcomes in 101 studies with 182 health risk estimates were recruited. By meta-analysis, the leave-one-out sensitivity analysis and Egger's test for publication bias, the robust and reliable effects were found for SO2 (per 10 μg/m3 ) with chronic obstructive pulmonary diseases (COPD) (pooled relative risks [RRs] 1.016, 95% CI: 1.012-1.021) and cardiovascular diseases (CVD) (RR 1.012, 95%CI: 007-1.018), respectively. NO2 (per 10 μg/m3 ) had the pooled RRs for childhood asthma, preterm birth, lung cancer, diabetes, and COPD by 1.134 (1.084-1.186), 1.079 (1.007-1.157), 1.055 (1.010-1.101), 1.019 (1.009-1.029), and 1.016 (1.012-1.120), respectively. CO (per 1 mg/m3 ) was significantly associated with Parkinson's disease (RR 1.574, 95% CI: 1.069-2.317) and CVD (RR 1.024, 95% CI: 1.011-1.038). No robust effects were observed for O3 . This study provided evidence and basis for further estimation of the health burden attributable to the four gaseous pollutants.
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Affiliation(s)
- Zhuoru Chen
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ningrui Liu
- Department of Building Science, Tsinghua University, Beijing, China
| | - Hao Tang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xuehuan Gao
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Furong Deng
- School of Public Health, Peking University, Beijing, China
| | - Bin Zhao
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiangang Zeng
- School of Environment and Natural Resources, Renmin University of China, Beijing, China
| | - Yuexia Sun
- School of Environmental Science and Engineering, Tianjin University, Tianjin, China
| | - Hua Qian
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China
| | - Jinhan Mo
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiaohong Zheng
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhuohui Zhao
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
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13
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Wong JYY, Imani P, Grigoryan H, Bassig BA, Dai Y, Hu W, Blechter B, Rahman ML, Ji BT, Duan H, Niu Y, Ye M, Jia X, Meng T, Bin P, Downward G, Meliefste K, Leng S, Fu W, Yang J, Ren D, Xu J, Zhou B, Hosgood HD, Vermeulen R, Zheng Y, Silverman DT, Rothman N, Rappaport SM, Lan Q. Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2022; 95:103966. [PMID: 36067935 PMCID: PMC9757949 DOI: 10.1016/j.etap.2022.103966] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/28/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
We investigated whether exposure to carcinogenic diesel engine exhaust (DEE) was associated with altered adduct levels in human serum albumin (HSA) residues. Nano-liquid chromatography-high resolution mass spectrometry (nLC-HRMS) was used to measure adducts of Cys34 and Lys525 residues in plasma samples from 54 diesel engine factory workers and 55 unexposed controls. An untargeted adductomics and bioinformatics pipeline was used to find signatures of Cys34/Lys525 adductome modifications. To identify adducts that were altered between DEE-exposed and unexposed participants, we used an ensemble feature selection approach that ranks and combines findings from linear regression and penalized logistic regression, then aggregates the important findings with those determined by random forest. We detected 40 Cys34 and 9 Lys525 adducts. Among these findings, we found evidence that 6 Cys34 adducts were altered between DEE-exposed and unexposed participants (i.e., 841.75, 851.76, 856.10, 860.77, 870.43, and 913.45). These adducts were biologically related to antioxidant activity.
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Affiliation(s)
- Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
| | - Partow Imani
- School of Public Health, University of California, Berkeley, CA, USA
| | - Hasmik Grigoryan
- School of Public Health, University of California, Berkeley, CA, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Yufei Dai
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Huawei Duan
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng Ye
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - George Downward
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Kees Meliefste
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Shuguang Leng
- Cancer Control and Population Sciences, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA; Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico School of Medicine, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Jun Xu
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Baosen Zhou
- China Medical University, Shenyang, Liaoning, China
| | - H Dean Hosgood
- Division of Epidemiology, Albert Einstein College of Medicine, New York, NY, USA
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Yuxin Zheng
- School of Public Health, Qingdao University, Qingdao, China
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | | | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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14
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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: 14] [Impact Index Per Article: 7.0] [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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15
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Wang J, Zhang Y, Zhang Z, Yu W, Li A, Gao X, Lv D, Zheng H, Kou X, Xue Z. Toxicology of respiratory system: Profiling chemicals in PM 10 for molecular targets and adverse outcomes. ENVIRONMENT INTERNATIONAL 2022; 159:107040. [PMID: 34922181 DOI: 10.1016/j.envint.2021.107040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 11/13/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals in PM10 and the adverse consequences. We used the ChemView DB, the ToxRef DB and a comprehensive literature analysis to collect, identify, and evaluate the chemicals in PM10 and their adverse effects on respiratory system, and then used the ToxCast DB to analyze their bioactivity and key targets through 1192 molecular targets and cell characteristic endpoints. Meanwhile, the bioinformatics analysis were carried out on the molecular targets to screen out prevention and treatment targets. A total of 310 chemicals related to the respiratory system were identified. An unsupervised two-directional heatmap was constructed based on hierarchical clustering of 227 chemicals by their effect scores. A subset of 253 chemicals with respiratory system toxicity had in vitro bioactivity on 318 molecular targets that could be described, clustered and annotated in the heatmap and bipartite network, which were analyzed based on the protein information in UniProt KB database and the software of GO, STRING, and KEGG. These results showed that the chemicals in PM10 have strong correlation with different types of respiratory system injury. The main pathways of respiratory system injury caused by PM10 are the Calcium signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway, and the core proteins in which are likely to be the molecular targets for the prevention and treatment of damage caused by PM10.
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Affiliation(s)
- Junyu Wang
- Department of Food Science, School of Chemical Engineering and Technology, Tianjin University, 300350 Tianjin, China
| | - Yixia Zhang
- Department of Food Science, School of Chemical Engineering and Technology, Tianjin University, 300350 Tianjin, China
| | - Zhijun Zhang
- National Engineering Technology Research Center for Preservation of Agricultural Products, Tianjin Key Laboratory of Postharvest Physiology and Storage of Agricultural Products, Tianjin 300384, China
| | - Wancong Yu
- Biotechnology Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin 300384, China
| | - Ang Li
- Department of Food Science, School of Chemical Engineering and Technology, Tianjin University, 300350 Tianjin, China
| | - Xin Gao
- Department of Food Science, School of Chemical Engineering and Technology, Tianjin University, 300350 Tianjin, China
| | - Danyu Lv
- Department of Food Science, School of Chemical Engineering and Technology, Tianjin University, 300350 Tianjin, China
| | - Huaize Zheng
- Department of Food Science, School of Chemical Engineering and Technology, Tianjin University, 300350 Tianjin, China
| | - Xiaohong Kou
- Department of Food Science, School of Chemical Engineering and Technology, Tianjin University, 300350 Tianjin, China.
| | - Zhaohui Xue
- Department of Food Science, School of Chemical Engineering and Technology, Tianjin University, 300350 Tianjin, China.
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16
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Haga SL, Hagenbjörk A, Olin AC, Forsberg B, Liljelind I, Carlsen HK, Modig L. Personal exposure levels to O 3, NO x and PM 10 and the association to ambient levels in two Swedish cities. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:674. [PMID: 34570284 PMCID: PMC8476356 DOI: 10.1007/s10661-021-09447-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 09/02/2021] [Indexed: 05/29/2023]
Abstract
Exposure to air pollution is of great concern for public health although studies on the associations between exposure estimates and personal exposure are limited and somewhat inconsistent. The aim of this study was to quantify the associations between personal nitrogen oxides (NOx), ozone (O3) and particulate matter (PM10) exposure levels and ambient levels, and the impact of climate and time spent outdoors in two cities in Sweden. Subjects (n = 65) from two Swedish cities participated in the study. The study protocol included personal exposure measurements at three occasions, or waves. Personal exposure measurements were performed for NOx and O3 for 24 h and PM10 for 24 h, and the participants kept an activity diary. Stationary monitoring stations provided hourly data of NOx, O3 and PM, as well as data on air temperature and relative humidity. Data were analysed using mixed linear models with the subject-id as a random effect and stationary exposure and covariates as fixed effects. Personal exposure levels of NOx, O3 and PM10 were significantly associated with levels measured at air pollution monitoring stations. The associations persisted after adjusting for temperature, relative humidity, city and wave, but the modelled estimates were slightly attenuated from 2.4% (95% CI 1.8-2.9) to 2.0% (0.97-2.94%) for NOx, from 3.7% (95% CI 3.1-4.4) to 2.1% (95% CI 1.1-2.9%) for O3 and from 2.6% (95% 0.9-4.2%) to 1.3% (95% CI - 1.5-4.0) for PM10. After adding covariates, the degree of explanation offered by the model (coefficient of determination, or R2) did not change for NOx (0.64 to 0.63) but increased from 0.46 to 0.63 for O3, and from 0.38 to 0.43 for PM10. Personal exposure to NOx, O3 and PM has moderate to good association with levels measured at urban background sites. The results indicate that stationary measurements are valid as measure of exposure in environmental health risk assessments, especially if they can be refined using activity diaries and meteorological data. Approximately 50-70% of the variation of the personal exposure was explained by the stationary measurement, implying occurrence of misclassification in studies using more crude exposure metrics, potentially leading to underestimates of the effects of exposure to ambient air pollution.
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Affiliation(s)
- Susanna Lohman Haga
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Sahlgrenska Academy At University of Gothenburg, Gothenburg, Sweden
| | - Annika Hagenbjörk
- Department of Public Health and Clinical Medicine, Section for Sustainable Health At Umeå University, Umeå, Sweden
| | - Anna-Carin Olin
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Sahlgrenska Academy At University of Gothenburg, Gothenburg, Sweden
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Section for Sustainable Health At Umeå University, Umeå, Sweden
| | - Ingrid Liljelind
- Department of Public Health and Clinical Medicine, Section for Sustainable Health At Umeå University, Umeå, Sweden
| | - Hanne Krage Carlsen
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Sahlgrenska Academy At University of Gothenburg, Gothenburg, Sweden
| | - Lars Modig
- Department of Public Health and Clinical Medicine, Section for Sustainable Health At Umeå University, Umeå, Sweden
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17
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Yu P, Guo S, Xu R, Ye T, Li S, Sim MR, Abramson MJ, Guo Y. Cohort studies of long-term exposure to outdoor particulate matter and risks of cancer: A systematic review and meta-analysis. Innovation (N Y) 2021; 2:100143. [PMID: 34557780 PMCID: PMC8454739 DOI: 10.1016/j.xinn.2021.100143] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/11/2021] [Indexed: 11/11/2022] Open
Abstract
Robust evidence is needed for the hazardous effects of outdoor particulate matter (PM) on mortality and morbidity from all types of cancers. To summarize and meta-analyze the association between PM and cancer, published articles reporting associations between outdoor PM exposure and any type of cancer with individual outcome assessment that provided a risk estimate in cohort studies were identified via systematic searches. Of 3,256 records, 47 studies covering 13 cancer sites (30 for lung cancer, 12 for breast cancer, 11 for other cancers) were included in the quantitative evaluation. The pooled relative risks (RRs) for lung cancer incidence or mortality associated with every 10-μg/m3 PM2.5 or PM10 were 1.16 (95% confidence interval [CI], 1.10–1.23; I2 = 81%) or 1.22 (95% CI, 1.02–1.45; I2 = 96%), respectively. Increased but non-significant risks were found for breast cancer. Other cancers were shown to be associated with PM exposure in some studies but not consistently and thus warrant further investigation. Updated evidence for the association between PM and lung cancer risk has been provided Associations between PM and cancer risks from 13 sites were summarized Further studies should be conducted to fill the research gaps
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Affiliation(s)
- Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Suying Guo
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology (National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention), Shanghai 200025, China
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Tingting Ye
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Malcolm R Sim
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Michael J Abramson
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
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18
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Huang Y, Zhu M, Ji M, Fan J, Xie J, Wei X, Jiang X, Xu J, Chen L, Yin R, Wang Y, Dai J, Jin G, Xu L, Hu Z, Ma H, Shen H. Air Pollution, Genetic Factors and the Risk of Lung Cancer: A Prospective Study in the UK Biobank. Am J Respir Crit Care Med 2021; 204:817-825. [PMID: 34252012 DOI: 10.1164/rccm.202011-4063oc] [Citation(s) in RCA: 141] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
Abstract
Rationale: Both genetic and environmental factors contribute to lung cancer, but the degree to which air pollution modifies the impact of genetic susceptibility on lung cancer remains unknown. Objectives: To investigate whether air pollution and genetic factors jointly contribute to incident lung cancer. Methods: We analyzed data from 455,974 participants (53% women) without previous cancer at baseline in the UK Biobank. The concentrations of particulate matter (PM2.5, PMcoarse and PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOx) were estimated by land-use regression models, and the association between air pollutants and incident lung cancer was investigated using a Cox proportional hazard model. Furthermore, we constructed a polygenic risk score and evaluated whether air pollutants modified the effect of genetic susceptibility on the development of lung cancer. Measurements and Main Results: The results showed significant associations between the risk of lung cancer and PM2.5 (hazard ratio [HR]: 1.63, 95% confidence interval [CI]: 1.33-2.01; per 5 μg/m3), PM10 (1.53, 1.20-1.96; per 10 μg/m3), NO2 (1.10, 1.05-1.15; per 10 μg/m3), and NOx (1.13, 1.07-1.18; per 20 μg/m3). There were additive interactions between air pollutants and the genetic risk. Compared with participants with low genetic risk and low air pollution, those with high air pollution and high genetic risk had the highest risk of lung cancer (PM2.5: HR: 1.71, 95% CI:1.45-2.02; PM10: 1.77, 1.50-2.10; NO2: 1.77, 1.42-2.22; NOx: 1.67, 1.43-1.95). Conclusion: Long-term exposure to air pollution may increase the risk of lung cancer, especially in those with high genetic risk.
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Affiliation(s)
- Yanqian Huang
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Meng Zhu
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.,Jiangsu Institute of Cancer Research, 26481, Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Mengmeng Ji
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Jingyi Fan
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Junxing Xie
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Xiaoxia Wei
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Xiangxiang Jiang
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Jing Xu
- Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, 74734, Department of Thoracic Surgery, Nanjing, China
| | - Liang Chen
- Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, 74734, Department of Thoracic Surgery, Nanjing, China
| | - Rong Yin
- Jiangsu Institute of Cancer Research, 26481, Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yuzhuo Wang
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Jiangsu Institute of Cancer Research, 26481, Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Guangfu Jin
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Lin Xu
- Jiangsu Institute of Cancer Research, 26481, Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Hongxia Ma
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China;
| | - Hongbing Shen
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.,Chinese Academy of Medical Sciences and Peking Union Medical College, 12501, Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Beijing, China
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19
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The joint association of physical activity and fine particulate matter exposure with incident dementia in elderly Hong Kong residents. ENVIRONMENT INTERNATIONAL 2021; 156:106645. [PMID: 34015665 DOI: 10.1016/j.envint.2021.106645] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 04/13/2021] [Accepted: 05/12/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The evidence for the beneficial effects of physical activity (PA) and potentially detrimental effects of long-term exposure to fine particulate matter (PM2.5) on neurodegeneration diseases is accumulating. However, their joint effects remain unclear. We evaluated joint associations of habitual PA and PM2.5 exposure with incident dementia in a longitudinal elderly cohort in Hong Kong. METHODS A total of 57,775 elderly participants (≥65 years) without dementia were enrolled during 1998-2001 and followed up till 2011. Their information on PA and other relevant covariates were collected at baseline (1998-2001) by a standard self-administered questionnaire, including PA volumes (high, moderate, low, and inactive) and types (aerobic exercise, traditional Chinese exercise, stretching exercise, walking slowly, and no exercise). Their annual mean PM2.5 exposures at the residential address were estimated using a satellite-based spatiotemporal model. We then adopted the Cox proportional hazards model to examine the joint associations with the incidence of all-cause dementia, Alzheimer's diseases, and vascular dementia on additive and multiplicative scales. RESULTS During the follow-up period, we identified 1,157 incident cases of dementia, including 642 cases of Alzheimer's disease and 324 cases of vascular dementia. A higher PA level was associated with a lower risk of incident all-cause dementia (hazard ratio (HR) for the high-PA volume was 0.59 (95% CI, 0.47, 0.75), as compared with the inactive-PA), whereas a high level of PM2.5 was related to the higher risk with an HR of 1.15 (95%CI: 1.00, 1.33) compared with the low-level of PM2.5. No clear evidence was observed of interaction between habitual PA (volume and type) and PM2.5 inhalation to incident dementia on either additive or multiplicative scale. CONCLUSION Habitual PA and long-term PM2.5 exposure were oppositely related to incident dementia in the Hong Kong aged population. The benefits of PA remain in people irrespective of exposure to air pollution.
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20
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Jiao Z, Wen Z, Yang W, Hu L, Li J. Influence of fine particulate matter and its pure particulate fractions on pulmonary immune cells and cytokines in mice. Exp Ther Med 2021; 21:662. [PMID: 33968192 PMCID: PMC8097186 DOI: 10.3892/etm.2021.10094] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 03/22/2021] [Indexed: 11/05/2022] Open
Abstract
Particulate matter with a diameter ≤2.5 µm (PM2.5) has a complex composition and has been associated with the incidence of cardiopulmonary disease and premature death in humans. However, whether pure particulate fractions of PM2.5 (PPP2.5), which are composed primarily of carbon, are responsible for the toxicity caused by ambient particulate matter (original PM2.5 particles, OPP2.5) is currently unclear. The present study assessed the acute toxic effects of OPP2.5 sampled in Beijing, China and of its PPP2.5 fraction in male BALB/c mice. The mice were intratracheally instilled with a single dose of aerosolized OPP2.5 or PPP2.5. Blood, lungs and bronchoalveolar lavage fluid were collected after 24 h for histopathology, flow cytometry and the measurement of pro-inflammatory cytokines/chemokines and other biochemical factors. Both OPP2.5 and PPP2.5 caused acute toxicity, particularly inflammatory responses, including an increase in the levels of pro-inflammatory cytokines and an accumulation of numerous immune cells in the lungs. OPP2.5 induced a stronger inflammatory response than PPP2.5. The complex components adsorbed into the solid core granules of OPP2.5 and the granules themselves contributed to the toxic effects.
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Affiliation(s)
- Zhouguang Jiao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military and Medical Sciences, Beijing 100071, P.R. China
| | - Zhanbo Wen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military and Medical Sciences, Beijing 100071, P.R. China
| | - Wenhui Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military and Medical Sciences, Beijing 100071, P.R. China
| | - Lingfei Hu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military and Medical Sciences, Beijing 100071, P.R. China
| | - Jinsong Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military and Medical Sciences, Beijing 100071, P.R. China
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21
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Guo H, Wei J, Li X, Ho HC, Song Y, Wu J, Li W. Do socioeconomic factors modify the effects of PM1 and SO2 on lung cancer incidence in China? THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 756:143998. [PMID: 33310217 DOI: 10.1016/j.scitotenv.2020.143998] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/27/2020] [Accepted: 11/15/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND It remains uncertain whether socioeconomic factors modify the effect of air pollution on human health. Moreover, studies investigating socioeconomic modifying roles on the effect of PM1 are quite limited, especially in developing countries. OBJECTIVES The present study aims to investigate socioeconomic modification effects on the associations of the incidence rate of male lung cancer with ambient PM1 and SO2 in China. METHODS We conducted a nationwide analysis in 345 Chinese counties (districts) between 2014 and 2015. In terms of multivariable linear regression models, we examined the modification effects of urban-rural division, education level and proportion of construction workers in the stratified and combined datasets according to the tertile and binary divisions of the three factors. Moreover, we performed three sensitivity analyses to test the robustness of socioeconomic modification effects. RESULTS We found a larger effect of PM1 on the incidence rate of male lung cancer in urban areas than in rural areas. The association between PM1 (or SO2) and the incidence rate of male lung cancer was stronger in counties with low education levels than in those with high education levels. The findings of the significant modification effects of urban-rural division and education level were robust in the three sensitivity analyses. No significant modification effect was observed for the proportion of construction workers. CONCLUSIONS Male residents in urban areas have a high risk of lung cancer incidence associated with ambient PM1. Male residents with low education levels suffer from larger effects of PM1 and SO2 on the incidence rate of lung cancer. Area- and population-specific strategies should be developed to reduce the urban-rural and educational disparities in air pollution effects, which thereby alleviates air pollution-associated health disparities in China.
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Affiliation(s)
- Huagui Guo
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China; Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, PR China.
| | - Jing Wei
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
| | - Xin Li
- Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China.
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China.
| | - Yimeng Song
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China.
| | - Jiansheng Wu
- Key Laboratory for Urban Habitat Environmental Science and Technology, Shenzhen Graduate School, Peking University, Shenzhen 518055, PR China; Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China.
| | - Weifeng Li
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China; Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, PR China.
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22
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Marmett B, Carvalho RB, Dorneles GP, da Silva IM, Romão PRT, Nunes RB, Rhoden CR. Air pollution inhalation during acute exercise is dependent of the body mass index and ventilation of young men. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:39019-39028. [PMID: 32642897 DOI: 10.1007/s11356-020-10019-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 07/06/2020] [Indexed: 06/11/2023]
Abstract
Obesity and physical inactivity threaten human health, and both could be solved with exercise. However, a higher amount of pollutants is inhaled during exercise. Exposure to air pollution increases the incidence and progression of diseases. Therefore, the aim of the study was to investigate the rate of pollution inhalation of lean, overweight, and obese individuals in a low and high-intensity hypothetical exercise session. Healthy sedentary men (n = 135) classified as lean, overweight, or obese were enrolled in our study. All participants performed a cardiopulmonary exercise testing (CPX) to collect ventilation rate (VE) data, which was used to predict total ventilation and pollutant inhalation of a 5-km running session. Air pollutant concentration of São Paulo City, Brazil was evaluated and the toxicological risk was estimated based on the potential intake dose. The concentrations of PM2.5 were 29.57 μg/m3 and 51.71 μg/m3, PM10 were 45.85 μg/m3 and 74 μg/m3, NO2 were 63.71 μg/m3 and 66.65 μg/m3, and O3 were 69 μg/m3 and 37 μg/m3, respectively in the summer and winter. In the hypothetical exercise session, total VE and time in both the first and second threshold were increased in the obese group (p < 0.001) (p < 0.001). The inhalation of PM2.5, PM10, NO2, and O3, during the hypothetical session, was increased in obese individuals (p < 0.001). Obese individuals should be considered a susceptible population, once they are more exposed to air pollution during exercise.
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Affiliation(s)
- Bruna Marmett
- Laboratory of Atmospheric Pollution, Graduate Program in Health Science, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Porto Alegre, RS, 90050-170, Brazil.
| | - Roseana Böek Carvalho
- Laboratory of Atmospheric Pollution, Graduate Program in Health Science, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Porto Alegre, RS, 90050-170, Brazil
| | - Gilson Pires Dorneles
- Laboratory of Cellular and Molecular Immunology, Graduate Program in Health Science, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil
| | - Igor Martins da Silva
- Laboratory of Cellular and Molecular Immunology, Graduate Program in Health Science, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil
| | - Pedro Roosevelt Torres Romão
- Laboratory of Cellular and Molecular Immunology, Graduate Program in Health Science, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil
| | - Ramiro Barcos Nunes
- Research Department - Instituto Federal de Educação, Ciência e Tecnologia Sul-rio-grandense, Gravataí, Brazil
| | - Cláudia Ramos Rhoden
- Laboratory of Atmospheric Pollution, Graduate Program in Health Science, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Porto Alegre, RS, 90050-170, Brazil
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23
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Dong Z, Wang H, Yin P, Wang L, Chen R, Fan W, Xu Y, Zhou M. Time-weighted average of fine particulate matter exposure and cause-specific mortality in China: a nationwide analysis. Lancet Planet Health 2020; 4:e343-e351. [PMID: 32800152 DOI: 10.1016/s2542-5196(20)30164-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 06/07/2020] [Accepted: 06/08/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Most previous assessments of the hazardous effects attributable to fine particulate matter (PM2·5) exposure have used ambient PM2·5 as an exposure metric, resulting in substantial bias in effect estimates. We did a study to examine the association between cause-specific mortality and the time-weighted average of PM2·5 exposure after accounting for indoor exposure in 267 cities in China. METHODS We did a nationwide study, using Laser Egg air quality monitors in 36 cities to obtain data for indoor PM2·5 concentrations from 18 484 anonymised households between Nov 1, 2015 and July 2, 2018. We developed and validated a nationwide indoor PM2·5 prediction model for a further 302 cities by retrieving raw records of hourly concentrations from residents' air sensors; the model was used to predict indoor PM2·5 during 2013 to 2018. Daily ambient PM2·5 concentration data were estimated by averaging hourly ambient PM2·5 concentrations obtained from China's National Urban Air Quality Real-time Publishing Platform. Daily numbers of deaths from all non-accidental causes were obtained from 324 cities from the Disease Surveillance Point System of China between Jan 1, 2013, to Dec 31, 2017, and calculated for 267 cities that had an average daily mortality above three, and data for PM2·5 concentrations and meteorological information for at least 1 year between 2013 and 2017. We used distributed lag non-linear models to estimate city-specific associations between cause-specific mortality and reconstructed PM2·5 exposure by considering indoor PM2·5 exposure. We combined the city-specific effect estimates at the national level using a random effects meta-analysis. FINDINGS 13 972 records of daily indoor PM2·5 concentrations for 36 cities, extracted from 47 459 183 raw records from the sensors were included for modelling indoor PM2·5 levels. The nationwide indoor PM2·5 concentration was 40 μg/m3 (SD 21) between 2013 and 2017, which was approximately 20% lower than the ambient PM2·5 concentration of 50 μg/m3 (42). An increase of 10 μg/m3 in time-averaged PM2·5 exposure concentrations was associated with increased daily mortality estimates of 0·44% (95% CI 0·33-0·54) for total non-accidental causes, 0·50% (0·37-0·63) for cardiovascular diseases, 0·46% (0·28-0·63) for coronary heart disease, 0·49% (0·32-0·66) for stroke, 0·59% (0·39-0·79) for respiratory diseases, and 0·69% (0·45-0·92) for chronic obstructive pulmonary disease, respectively. Compared with previous estimations based on ambient PM2·5, our estimates approximately doubled the size of the effects related to PM2·5. INTERPRETATION This nationwide study revealed a higher mortality risk attributed to time-averaged indoor and ambient PM2·5 exposure compared with the risk associated with ambient PM2·5 exposure alone, which indicates that caution should be exercised when using ambient PM2·5 as a surrogate for PM2·5 exposure. FUNDING National Natural Science Foundation of China (Youth Program) and the Fundamental Research Project of Beihang University.
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Affiliation(s)
- Zhaomin Dong
- School of Space and Environment, Beihang University, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
| | - Hao Wang
- School of Space and Environment, Beihang University, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Renjie Chen
- Key Laboratory of Public Health Security, School of Public Health, Ministry of Education, Fudan University, Shanghai, China
| | - Wenhong Fan
- School of Space and Environment, Beihang University, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
| | - Yilu Xu
- College of Engineering, Swansea University, Bay Campus, Swansea, UK
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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24
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Guo H, Li W, Wu J. Ambient PM2.5 and Annual Lung Cancer Incidence: A Nationwide Study in 295 Chinese Counties. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17051481. [PMID: 32106556 PMCID: PMC7084498 DOI: 10.3390/ijerph17051481] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 02/13/2020] [Accepted: 02/21/2020] [Indexed: 12/20/2022]
Abstract
Most studies have examined PM2.5 effects on lung cancer mortalities, while few nationwide studies have been conducted in developing countries to estimate the effects of PM2.5 on lung cancer incidences. To fill this gap, this work aims to examine the effects of PM2.5 exposure on annual incidence rates of lung cancer for males and females in China. We performed a nationwide analysis in 295 counties (districts) from 2006 to 2014. Two regression models were employed to analyse data controlling for time, location and socioeconomic characteristics. We also examined whether the estimates of PM2.5 effects are sensitive to the adjustment of health and behaviour covariates, and the issue of the changing cancer registries each year. We further investigated the modification effects of region, temperature and precipitation. Generally, we found significantly positive associations between PM2.5 and incidence rates of lung cancer for males and females. If concurrent PM2.5 changes by 10 g/m3, then the incidence rate relative to its baseline significantly changes by 4.20% (95% CI: 2.73%, 5.88%) and 2.48% (95% CI: 1.24%, 4.14%) for males and females, respectively. The effects of exposure to PM2.5 were still significant when further controlling for health and behaviour factors or using 5 year consecutive data from 91 counties. We found the evidence of long-term lag effects of PM2.5. We also found that temperature appeared to positively modify the effects of PM2.5 on the incidence rates of lung cancer for males. In conclusion, there were significantly adverse effects of PM2.5 on the incidence rates of lung cancer for both males and females in China. The estimated effect sizes might be considerably lower than those reported in developed countries. There were long-term lag effects of PM2.5 on lung cancer incidence in China.
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Affiliation(s)
- Huagui Guo
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong 999077, China;
- Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China
| | - Weifeng Li
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong 999077, China;
- Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China
- Correspondence: ; Tel.: +86-(852)-39172566
| | - Jiansheng Wu
- Key Laboratory for Urban Habitat Environmental Science and Technology, Shenzhen Graduate School, Peking University, Shenzhen 518055, China;
- Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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25
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Su R, Jin X, Li H, Huang L, Li Z. The mechanisms of PM 2.5 and its main components penetrate into HUVEC cells and effects on cell organelles. CHEMOSPHERE 2020; 241:125127. [PMID: 31683440 DOI: 10.1016/j.chemosphere.2019.125127] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 10/13/2019] [Accepted: 10/14/2019] [Indexed: 06/10/2023]
Abstract
Atmospheric particulate matter (PM2.5) is associated with the morbidity and mortality of cardiovascular diseases. However, whether PM2.5 penetrates into the cells and the potential mechanisms are unknown. Hence, the study firstly indicated that PM2.5 could penetrate into the HUVEC cells, and phagocytosis, micropinocytosis, caveolin as well as clathrin mediated the internalization of PM2.5 into HUVEC cells. Particularly, the components of PM2.5-Metal, PAHs and WSC could enter into HUVEC cells mainly via the micropinocytosis, clathrin and caveolin mediated endocytosis, respectively. The current data of environmental assessments indicated that PM2.5-Metal were extremely harmful to the ecological environment and human health. Moreover, accompanying with mitochondrial fusion gene Mfn1 was increased and fission genes Opa1 and Drp1 were decreased, and the lysosome related genes LAMP2 and LAMP3 were decreased, the phenomenon that the morphology of mitochondrial and lysosome injured was observed in HUVEC cells treated with PM2.5 and/or PM2.5-Metal. These data suggest that PM2.5 and its main components depend on different endocytosis penetrate into HUVEC cells and cause the mitochondrial and lysosomal damages. Thereby, our study provides the potential mechanism of haze particles penetration into HUVEC cells and damage to organelles.
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Affiliation(s)
- Ruijun Su
- Institute of Biotechnology, Key Laboratory of Chemical Biology and Molecular Engineering of National Ministry of Education, Shanxi University, Taiyuan, 030006, China
| | - Xiaoting Jin
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan, 030006, China
| | - Hanqing Li
- School of Life Sciences, Shanxi University, Taiyuan, 030006, China
| | - Leiru Huang
- School of Life Sciences, Shanxi University, Taiyuan, 030006, China
| | - Zhuoyu Li
- Institute of Biotechnology, Key Laboratory of Chemical Biology and Molecular Engineering of National Ministry of Education, Shanxi University, Taiyuan, 030006, China; School of Life Sciences, Shanxi University, Taiyuan, 030006, China.
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26
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Lipfert FW, Wyzga RE. Longitudinal relationships between lung cancer mortality rates, smoking, and ambient air quality: a comprehensive review and analysis. Crit Rev Toxicol 2020; 49:790-818. [DOI: 10.1080/10408444.2019.1700210] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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27
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Klompmaker JO, Hoek G, Bloemsma LD, Marra M, Wijga AH, van den Brink C, Brunekreef B, Lebret E, Gehring U, Janssen NAH. Surrounding green, air pollution, traffic noise exposure and non-accidental and cause-specific mortality. ENVIRONMENT INTERNATIONAL 2020; 134:105341. [PMID: 31783239 DOI: 10.1016/j.envint.2019.105341] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND Most previous studies that investigated associations of surrounding green, air pollution or traffic noise with mortality focused on single exposures. OBJECTIVES The aim of this study was to evaluate combined associations of long-term residential exposure to surrounding green, air pollution and traffic noise with total non-accidental and cause-specific mortality. METHODS We linked a national health survey (Public Health Monitor, PHM) conducted in 2012 to the Dutch longitudinal mortality database. Subjects of the survey who were 30 years or older on 1 January 2013 (n = 339,633) were followed from 1 January 2013 till 31 December 2017. We used Cox proportional hazard models to evaluate associations of residential surrounding green (including the average Normalized Difference Vegetation Index (NDVI) in buffers of 300 m and 1000 m), annual average air pollutant concentrations (including particulate matter (PM10, PM2.5), nitrogen dioxide (NO2)) and traffic noise with non-accidental, circulatory disease, respiratory disease, lung cancer and neurodegenerative disease mortality. RESULTS We observed 26,886 non-accidental deaths over 1.627.365 person-years of follow-up. Surrounding green, air pollution and traffic noise exposure were not significantly associated with non-accidental or cause-specific mortality. For non-accidental mortality, we found a hazard ratio (HR) of 0.99 (0.98, 1.01) per IQR increase in NDVI 300 m, a HR of 0.99 (95% CI: 0.97, 1.01) per IQR increase in NO2, a HR of 0.98 (0.97, 1.00) per IQR increase in PM2.5 and a HR of 0.99 (95% CI: 0.97, 1.01) per IQR increase in road-traffic noise. Analyses restricted to non-movers or excluding subjects aged 85+ years did not change the findings. CONCLUSION We found no evidence for associations of long-term residential exposures to surrounding green, air pollution and traffic noise with non-accidental or cause-specific mortality in a large population based survey in the Netherlands, possibly related to the relatively short follow-up period.
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Affiliation(s)
- Jochem O Klompmaker
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
| | - Gerard Hoek
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Lizan D Bloemsma
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Marten Marra
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Alet H Wijga
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Carolien van den Brink
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Erik Lebret
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Ulrike Gehring
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Nicole A H Janssen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
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Danesh Yazdi M, Wang Y, Di Q, Zanobetti A, Schwartz J. Long-term exposure to PM 2.5 and ozone and hospital admissions of Medicare participants in the Southeast USA. ENVIRONMENT INTERNATIONAL 2019; 130:104879. [PMID: 31238267 DOI: 10.1016/j.envlnt.2019.05.073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 04/19/2019] [Accepted: 05/28/2019] [Indexed: 05/24/2023]
Abstract
We examined the association between average annual fine particulate matter (PM2.5) and ozone and first hospital admissions of Medicare participants for stroke, chronic obstructive pulmonary disease (COPD), pneumonia, myocardial infarction (MI), lung cancer, and heart failure (HF). Annual average PM2.5 and ozone levels were estimated using high-resolution spatio-temporal models. We fit a marginal structural Cox proportional hazards model, using stabilized inverse probability weights (IPWs) to account for the competing risk of death and confounding. Analyses were then repeated after restricting to exposure levels below the current U.S. standards. The results showed that PM2.5 was significantly associated with an increased hazard of admissions for all studied outcomes; the highest observed being a 6.1% (95% CI: 5.9%-6.2%) increase in the hazard of admissions with pneumonia for each μg/m3 increase in particulate levels. Ozone was also significantly associated with an increase in the risk of first hospital admissions of all outcomes. The hazard of pneumonia increased by 3.0% (95% CI: 2.9%-3.1%) for each ppb increase in the ozone level. Our results reveal a need to regulate long-term ozone exposure, and that associations persist below current PM2.5 standards.
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Affiliation(s)
- Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA.
| | - Yan Wang
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA
| | - Qian Di
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA
| | - Joel Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
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Danesh Yazdi M, Wang Y, Di Q, Zanobetti A, Schwartz J. Long-term exposure to PM 2.5 and ozone and hospital admissions of Medicare participants in the Southeast USA. ENVIRONMENT INTERNATIONAL 2019; 130:104879. [PMID: 31238267 PMCID: PMC7751740 DOI: 10.1016/j.envint.2019.05.073] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 04/19/2019] [Accepted: 05/28/2019] [Indexed: 05/19/2023]
Abstract
We examined the association between average annual fine particulate matter (PM2.5) and ozone and first hospital admissions of Medicare participants for stroke, chronic obstructive pulmonary disease (COPD), pneumonia, myocardial infarction (MI), lung cancer, and heart failure (HF). Annual average PM2.5 and ozone levels were estimated using high-resolution spatio-temporal models. We fit a marginal structural Cox proportional hazards model, using stabilized inverse probability weights (IPWs) to account for the competing risk of death and confounding. Analyses were then repeated after restricting to exposure levels below the current U.S. standards. The results showed that PM2.5 was significantly associated with an increased hazard of admissions for all studied outcomes; the highest observed being a 6.1% (95% CI: 5.9%-6.2%) increase in the hazard of admissions with pneumonia for each μg/m3 increase in particulate levels. Ozone was also significantly associated with an increase in the risk of first hospital admissions of all outcomes. The hazard of pneumonia increased by 3.0% (95% CI: 2.9%-3.1%) for each ppb increase in the ozone level. Our results reveal a need to regulate long-term ozone exposure, and that associations persist below current PM2.5 standards.
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Affiliation(s)
- Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA.
| | - Yan Wang
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA
| | - Qian Di
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA
| | - Joel Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
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30
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Bai L, Shin S, Burnett RT, Kwong JC, Hystad P, van Donkelaar A, Goldberg MS, Lavigne E, Weichenthal S, Martin RV, Copes R, Kopp A, Chen H. Exposure to ambient air pollution and the incidence of lung cancer and breast cancer in the Ontario Population Health and Environment Cohort. Int J Cancer 2019; 146:2450-2459. [PMID: 31304979 DOI: 10.1002/ijc.32575] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 06/26/2019] [Indexed: 11/11/2022]
Abstract
Lung and female breast cancers are highly prevalent worldwide. Although the association between exposure to ambient fine particulate matter (PM2.5 ) and lung cancer has been recognized, there is less evidence for associations with other common air pollutants such as nitrogen dioxide (NO2 ) and ozone (O3 ). Even less is known about potential associations between these pollutants and breast cancer. We conducted a population-based cohort study to investigate the associations of chronic exposure to PM2.5 , NO2 , O3 and redox-weighted average of NO2 and O3 (Ox ) with incident lung and breast cancer, using the Ontario Population Health and Environment Cohort (ONPHEC), which includes all long-term residents aged 35-85 years who lived in Ontario, Canada, 2001-2015. Incident lung and breast cancers were ascertained using the Ontario Cancer Registry. Annual estimates of exposures were assigned to the residential postal codes of subjects for each year during follow-up. We used Cox proportional-hazards models adjusting for personal- and neighborhood-level covariates. Our cohorts for lung and breast cancer analyses included ~4.9 million individuals and ~2.5 million women, respectively. During follow-up, 100,146 incident cases of lung cancer and 91,146 incident cases of breast cancer were diagnosed. The fully adjusted analyses showed positive associations of lung cancer incidence with PM2.5 (hazard ratio [HR] = 1.02 [95% CI: 1.01-1.05] per 5.3 μg/m3 ) and NO2 (HR = 1.05 [95% CI: 1.03-1.07] per 14 ppb). No associations with lung cancer were observed for O3 or Ox . Relationships between PM2.5 and NO2 with lung cancer exhibited a sublinear shape. We did not find compelling evidence linking air pollution to breast cancer.
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Affiliation(s)
- Li Bai
- ICES, Toronto, ON, Canada
| | - Saeha Shin
- Public Health Ontario, Toronto, ON, Canada
| | - Richard T Burnett
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada
| | - Jeffrey C Kwong
- ICES, Toronto, ON, Canada.,Public Health Ontario, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Perry Hystad
- College of Public Health and Human Studies, Oregon State University, Corvallis, OR
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montreal, QC, Canada.,Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Eric Lavigne
- Air Health Science Division, Health Canada, Ottawa, ON, Canada.,School of Epidemiology & Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Randall V Martin
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada.,Smithsonian Astrophysical Observatory, Harvard-Smithsonian Center for Astrophysics, Cambridge, MA
| | - Ray Copes
- Public Health Ontario, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | - Hong Chen
- ICES, Toronto, ON, Canada.,Public Health Ontario, Toronto, ON, Canada.,Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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Shamsollahi HR, Ghoochani M, Jaafari J, Moosavi A, Sillanpää M, Alimohammadi M. Environmental exposure to endotoxin and its health outcomes: A systematic review. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2019; 174:236-244. [PMID: 30831472 DOI: 10.1016/j.ecoenv.2019.02.046] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 02/11/2019] [Accepted: 02/13/2019] [Indexed: 06/09/2023]
Abstract
Exposure to endotoxin occurs environmentally and occupationally. There are several differences between them in terms of the variety and severity of health outcomes, possible exposed groups and type and route of exposure. Occupational exposures caused adverse health outcomes in almost all cases, but there is disparity in the incidence of significant health outcomes due to environmental exposure to endotoxin. This study has therefore endeavoured to investigate health outcomes from environmental exposure to endotoxin. A systematic review was conducted of three databases and non-occupational studies reporting the environmental concentration of endotoxin, and observed health outcomes in exposed groups were included in the review (n = 27). The studies showed that first exposure to endotoxin occurs in infancy by the inhalation route. Inhalation is the only exposure route that can induce inflammation as the main symptom of exposure to endotoxin. The studies included were conducted using four approaches: molecular immunology, measurement of lung volumes, clinical sensitisation test and diagnosis of asthmatic and respiratory symptoms such as wheezing. By the immunological approach, all the included studies reported that environmental exposure to endotoxin, especially at a younger age, has a protective effect on the incidence of asthma in adolescence. The main disparity observed was in studies using the approach of diagnosed asthma. Overall, however, they confirm the protective effect of exposure to endotoxin although, in the case of children with non-atopic asthma, the results could be different.
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Affiliation(s)
- Hamid Reza Shamsollahi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mahboobeh Ghoochani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Jalil Jaafari
- Department of Environmental Health Engineering, School of Health, Guilan University of Medical Sciences, Rasht, Iran.
| | - Azam Moosavi
- Department of Biochemistry, School of Medicine, Alborz University of Medical Sciences, Alborz, Iran.
| | - Mika Sillanpää
- Laboratory of Green Chemistry, School of Engineering Science, Lappeenranta University of Technology, Sammonkatu 12, Mikkeli, Finland.
| | - Mahmood Alimohammadi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Water Quality Research (CWQI), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Health Equity Research Center (HERC), Tehran University of Medical Sciences, Tehran, Iran.
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32
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Ribeiro AG, Downward GS, Freitas CUD, Chiaravalloti Neto F, Cardoso MRA, Latorre MDRDDO, Hystad P, Vermeulen R, Nardocci AC. Incidence and mortality for respiratory cancer and traffic-related air pollution in São Paulo, Brazil. ENVIRONMENTAL RESEARCH 2019; 170:243-251. [PMID: 30594696 DOI: 10.1016/j.envres.2018.12.034] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/29/2018] [Accepted: 12/15/2018] [Indexed: 05/15/2023]
Abstract
BACKGROUND Multiple lines of evidence have associated exposure to ambient air pollution with an increased risk of respiratory malignancies. However, there is a dearth of evidence from low-middle income countries, including those within South America, where the social inequalities are more marked. OBJECTIVES To quantify the association between exposures to traffic related air pollution and respiratory cancer incidence and mortality within São Paulo, Brazil. Further, we aim to investigate the role of socioeconomic status (SES) upon these outcomes. METHODS Cancer incidence between 2002 and 2011 was derived from the population-based cancer registry. Mortality data (between 2002 and 2013) was derived from the Municipal Health Department. A traffic density database and an annual nitrogen dioxide (NO2) land use regression model were used as markers of exposure. Age-adjusted Binomial Negative Regression models were developed, stratifying by SES and gender. RESULTS We observed an increased rate of respiratory cancer incidence and mortality in association with increased traffic density and NO2 concentrations, which was higher among those regions with the lowest SES. For cancer mortality and traffic exposure, those in the most deprived region, had an incidence rate ratio (IRR) of 2.19 (95% CI: 1.70, 2.82) when comparing the highest exposure centile (top 90%) to the lowest (lowest 25%). By contrast, in the least deprived area, the IRR for the same exposure contrast was.1.07 (95% CI: 0.95, 1.20). For NO2 in the most deprived regions, the IRR for cancer mortality in the highest exposed group was 1.44 (95% CI: 1.10, 1.88) while in the least deprived area, the IRR for the highest exposed group was 1.11 (95% CI: 1.01, 1.23). CONCLUSIONS Traffic density and NO2 were associated with an increased rate of respiratory cancer incidence and mortality in São Paulo. Residents from poor regions may suffer more from the impact of traffic air pollution.
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Affiliation(s)
- Adeylson Guimarães Ribeiro
- Department of Environmental Health, School of Public Health, University of São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP CEP 01246-904, Brazil.
| | - George Stanley Downward
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, the Netherlands.
| | - Clarice Umbelino de Freitas
- Center for Epidemiological Surveillance, State Department of Health, Av. Dr. Arnaldo, 351, São Paulo, SP CEP:01246-000, Brazil
| | - Francisco Chiaravalloti Neto
- Department of Epidemiology, School of Public Health, University of São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP CEP 01246-904, Brazil.
| | - Maria Regina Alves Cardoso
- Department of Epidemiology, School of Public Health, University of São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP CEP 01246-904, Brazil.
| | | | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, 20C Milam Hall, Corvallis, OR 97331, USA.
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, the Netherlands.
| | - Adelaide Cassia Nardocci
- Department of Environmental Health, School of Public Health, University of São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP CEP 01246-904, Brazil.
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Shao Y, Wang Y, Yu H, Zhang Y, Xiang F, Yang Y, Yang Y, Li L, Dong S, Yang D, Cheng W, Chen Y, Jiang Q, Xie J, Sun W, Zhou Y. Geographical variation in lung cancer risk associated with road traffics in Jiading District, Shanghai. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 652:729-735. [PMID: 30380480 DOI: 10.1016/j.scitotenv.2018.10.266] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Revised: 10/08/2018] [Accepted: 10/19/2018] [Indexed: 06/08/2023]
Abstract
Few studies have investigated the spatial variation in road traffic indicators associated with lung cancer risk. The purpose of this study was to explore the relationship between road traffic-related indicators and lung cancer risk and to estimate its spatial variability. The population-based case control study was conducted, including all the newly diagnosed lung cancer patients (cases) and colorectal cancer patients (controls) in Jiading District, Shanghai from 2014 to 2016. Traffic intensity variable (traffic intensity in a 500 m buffer), residential distance to major road or highway, and greenness exposure at the residence were estimated for each individual. We conducted unconditional logistic regression with adjustment for age, sex, smoking status and NDVI values and geographically weighted logistic regression (GWLR). The clustering of lung cancer risk was analyzed by Bernoulli model of the SaTScan software. This study included 1461 lung cancer patients and 954 colorectal cancer patients. In multivariate logistic regression, smoking [OR 1.25 95% CI (1.15-1.35)], living <50 m from the major road [OR 1.43 95% CI (1.02-2.03)] were significantly associated with lung cancer risk. Residential Proximity to highway, residential greenness, and traffic intensity were not significantly associated with lung cancer risk. The GWLR model showed that the degree of correlation between residential proximity to major road and lung cancer risk varied geographically. The SaTScan results showed a lung cancer cluster in the southwest of Jiading District, Shanghai. Our study suggested that the distance from residence to the main road was significantly associated with lung cancer risk, which varied geographically. It is helpful to further study the traffic factors' spatial variation related to lung cancer risk and carry out reasonable regional planning.
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Affiliation(s)
- Yueqin Shao
- The Jiading District Center for Disease Control and Prevention, Shanghai 201800, China
| | - Yingjian Wang
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China
| | - Hongjie Yu
- The Jiading District Center for Disease Control and Prevention, Shanghai 201800, China
| | - Yiying Zhang
- The Jiading District Center for Disease Control and Prevention, Shanghai 201800, China
| | - Fang Xiang
- The Jiading District Center for Disease Control and Prevention, Shanghai 201800, China
| | - Ya Yang
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China
| | - Yu Yang
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China
| | - Linhan Li
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China
| | - Shurong Dong
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China
| | - Dongjian Yang
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China
| | - Wanting Cheng
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Qingwu Jiang
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China
| | - Juan Xie
- The Jiading District Center for Disease Control and Prevention, Shanghai 201800, China
| | - Weishan Sun
- Traffic Command Center, Municipal Transportation Commission, Shanghai 200051, China
| | - Yibiao Zhou
- Fudan University School of Public Health, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Building 8, 130 Dong An Road, Xuhui District, Shanghai 200032, China; Fudan University Center for Tropical Disease Research, Building 8, 130 Dong'an Road, Xuhui District, Shanghai 200032, China.
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Yang J, Chen Y, Yu Z, Ding H, Ma Z. Changes in gene expression in lungs of mice exposed to traffic-related air pollution. Mol Cell Probes 2018; 39:33-40. [PMID: 29621558 DOI: 10.1016/j.mcp.2018.03.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Revised: 03/16/2018] [Accepted: 03/31/2018] [Indexed: 12/28/2022]
Abstract
Long-term exposure to traffic-related pollutants can lead to a variety of respiratory diseases, including inflammation, asthma, and lung cancer; however, the underlying biological mechanisms are not fully understood. We focused on the effects of exposure to different air pollutants on the expression of genes associated with inflammatory immune responses, allergic reactions and asthma, and lung cancer. In order to understand the cellular responses induced by exposure to different traffic-related pollutants, we performed PCR array to evaluate the mRNA expression of genes associated with inflammatory immune responses, allergic reactions and asthma, and lung cancer in the lungs of mice exposed to three different environments, including the laboratory (clean air), and polluted parking garages in Foshan and Guangzhou for four weeks. Cytokines (IFN-γ, IL-4, and IL-17A) were analyzed by Flow cytometry; the morphological structures were detected by Haematoxylin and eosin (H&E) staining. Our results revealed that the main pollutant in Guangzhou was PM2.5, the main pollutants in Foshan were gaseous pollutants including CO, NOx and SO2. IFN-γ was significantly lower, and IL-4, and IL-17A were significantly higher in mice in the Guangzhou and Foshan groups compared with laboratory group. The morphological structures were damaged in Guangzhou and Foshan groups. In addition, we found that exposure to traffic-related pollutants triggered the expression of inflammatory genes (Cxcl11 and Tnfs4), allergy and asthma genes (Clca3 and Prg2), and lung cancer genes (Agr2, Col11a1, and Sostdc1). As such, our results demonstrate that persistent exposure to traffic-related pollutants may elevate the incidence of immune disorders and asthma, and may be as a risk factor for lung cancer.
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Affiliation(s)
- Jie Yang
- Department of Dermatology, Guangdong Academy of Medical Sciences and Guangdong General Hospital, Guangzhou, Guangdong 510080, PR China
| | - Yi Chen
- Department of General Internal Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, PR China
| | - Zhi Yu
- Research Center of Intelligent Transportation System, School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510275, PR China
| | - Hui Ding
- Research Center of Intelligent Transportation System, School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510275, PR China
| | - Zhongfu Ma
- Department of General Internal Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, PR China.
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35
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Huang F, Pan B, Wu J, Chen E, Chen L. Relationship between exposure to PM2.5 and lung cancer incidence and mortality: A meta-analysis. Oncotarget 2018; 8:43322-43331. [PMID: 28487493 PMCID: PMC5522148 DOI: 10.18632/oncotarget.17313] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 04/04/2017] [Indexed: 01/11/2023] Open
Abstract
We conducted a meta-analysis to examinine the relationship between exposure to PM2.5 and lung cancer incidence and mortality. In total, 17 studies met our inclusion criteria and provided information necessary to estimate the change in lung cancer risk per 10 μg/m3 increase in exposure to PM2.5. The random-effects model was used to estimate the relative risk (RR) for specific PM2.5 values. The meta-estimate for lung cancer risk associated with PM2.5 was 1.11 for mortality (95% CI: 1.05, 1.18) and 1.08 (95% CI: 1.03, 1.12) for incidence. Analyses by continent showed that the meta-estimate for lung cancer mortality associated with PM2.5 was greatest in North America [1.15 (95% CI: 1.07, 1.24)], followed by Asia [1.12 (95% CI: 0.94, 1.35)], and then Europe [1.05 (95% CI: 1.01, 1.10)]. Lung cancer incidence associated with PM2.5 was greatest in Asia [1.09 (95% CI: 1.03, 1.15)], followed by North America [1.06 (95% CI: 1.01, 1.11)], and then Europe [1.03 (95% CI: 0.61, 1.75)]. In subgroup analyses of country, the mortality meta-estimate for developed countries was 1.14 (95% CI: 1.06, 1.23), and for developing countries was 1.03 (95% CI: 1.00, 1.07). The incidence meta-estimate for developed countries was 1.07 (95% CI: 0.96, 1.20), and was similar to that of developing countries, 1.07 (95% CI: 1.06, 1.09). In subgroup analyses of males and females, the meta-estimate for lung cancer mortality associated with PM2.5 was greater for males [1.26 (95% CI: 1.15, 1.40)] than for females [1.17 (95% CI: 0.98, 1.39)]. The meta-estimate for lung cancer incidence associated with PM2.5 was greater for males [1.23 (95% CI: 0.83, 1.81)] than for females [1.15 (95% CI: 1.12, 1.18)]. In subgroup analyses of smoking status, the meta-estimate for lung cancer mortality associated with PM2.5 for former smokers was 1.46 (95% CI: 0.84, 2.55), for current smokers was 1.33 (95% CI: 1.20, 1.49), and for never smokers was 1.16 (95% CI: 1.02, 1.33), respectively. The meta-estimate for lung cancer incidence associated with PM2.5 for former smokers was 1.19 (95% CI: 0.95, 1.50), for never smokers was 1.10 (95% CI: 0.76, 1.59), and for current smokers was 1.03 (95% CI: 0.87, 1.21). The relative risks of a relationship between PM2.5 and lung cancer incidence and mortality were 1.08 (95% CI: 1.03, 1.12) and 1.11 (95% CI: 1.05, 1.18), respectively. These findings will provide some evidence for policy makers and public health practitioners worldwide.
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Affiliation(s)
- Feifei Huang
- Department of Family Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, P.R. China
| | - Bing Pan
- Department of Family Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, P.R. China
| | - Jun Wu
- Department of Family Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, P.R. China
| | - Engeng Chen
- Department of Colorectal Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, P.R. China
| | - Liying Chen
- Department of Family Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, P.R. China
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Samoli E, Butland BK. Incorporating Measurement Error from Modeled Air Pollution Exposures into Epidemiological Analyses. Curr Environ Health Rep 2018; 4:472-480. [PMID: 28983855 DOI: 10.1007/s40572-017-0160-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW Outdoor air pollution exposures used in epidemiological studies are commonly predicted from spatiotemporal models incorporating limited measurements, temporal factors, geographic information system variables, and/or satellite data. Measurement error in these exposure estimates leads to imprecise estimation of health effects and their standard errors. We reviewed methods for measurement error correction that have been applied in epidemiological studies that use model-derived air pollution data. RECENT FINDINGS We identified seven cohort studies and one panel study that have employed measurement error correction methods. These methods included regression calibration, risk set regression calibration, regression calibration with instrumental variables, the simulation extrapolation approach (SIMEX), and methods under the non-parametric or parameter bootstrap. Corrections resulted in small increases in the absolute magnitude of the health effect estimate and its standard error under most scenarios. Limited application of measurement error correction methods in air pollution studies may be attributed to the absence of exposure validation data and the methodological complexity of the proposed methods. Future epidemiological studies should consider in their design phase the requirements for the measurement error correction method to be later applied, while methodological advances are needed under the multi-pollutants setting.
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Affiliation(s)
- Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str, 115 27, Athens, Greece.
| | - Barbara K Butland
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, London, UK
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Tan C, Lu S, Wang Y, Zhu Y, Shi T, Lin M, Deng Z, Wang Z, Song N, Li S, Yang P, Yang L, Liu Y, Chen Z, Xu K. Long-term exposure to high air pollution induces cumulative DNA damages in traffic policemen. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 593-594:330-336. [PMID: 28346906 DOI: 10.1016/j.scitotenv.2017.03.179] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2017] [Revised: 03/19/2017] [Accepted: 03/19/2017] [Indexed: 06/06/2023]
Abstract
The specific effects of long-term exposure to high air pollution on human health and biological remain unclear. To explore the adverse health effects as well as biological mechanisms and biomarkers for durative exposure to air pollution, 183 traffic policemen and 88 office policemen were enrolled in this study. The concentration of PM2.5 in both the traffic and office policemen's working environments were obtained. Detailed personal questionnaires were completed and levels of inflammation, oxidative stress and DNA damage markers of all participants were analyzed in this study. The average PM2.5 concentration of the intersections of main roads and the offices of control group were 132.4±48.9μg/m3 and 50.80±38.6μg/m3, respectively. The traffic policemen, who stably exposed to at least 2 times higher PM2.5 in their work area as compared with the control group, have a median average duration of 7.00years, and average cumulative intersection duty time reached 8030h. No statistically significant differences in the levels of inflammation markers were observed between the traffic and office policemen. However, the DNA damage markers in traffic policemen shared significant positive correlation with cumulative intersection duty time and higher than those in the office policemen. Multiple linear regression analysis demonstrated that the increase of cumulative intersection duty time by 1h per day for one year was associated with the increase in 8-hydroxy-20-deoxyguanosine of 0.329% (95% CI: 0.249% to 0.409%), tail DNA of 0.051% (95% CI: 0.041% to 0.061%), micronucleus frequency of 0.036‰ (95% CI: 0.03‰ to 0.043‰), and a decrease in glutathione of 0.482% (95% CI: -0.652% to -0.313%). These findings suggest that long-term exposure to high air pollution could induce cumulative DNA damages, supporting the hypothesis that durative exposure to air pollution is associated with an increased risk of cancer.
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Affiliation(s)
- Chaochao Tan
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Shijie Lu
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Yupeng Wang
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Yan Zhu
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Ting Shi
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Mingyue Lin
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Zhonghua Deng
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Zhu Wang
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Nana Song
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Shuna Li
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Pingting Yang
- Health Management Centre, The Third Xiangya Hospital, Central South University, Changsha 410013, PR China
| | - Liyan Yang
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Yuanyuan Liu
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Zhiheng Chen
- Health Management Centre, The Third Xiangya Hospital, Central South University, Changsha 410013, PR China.
| | - Keqian Xu
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China.
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Gharibvand L, Lawrence Beeson W, Shavlik D, Knutsen R, Ghamsary M, Soret S, Knutsen SF. The association between ambient fine particulate matter and incident adenocarcinoma subtype of lung cancer. Environ Health 2017; 16:71. [PMID: 28646928 PMCID: PMC5483320 DOI: 10.1186/s12940-017-0268-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 06/06/2017] [Indexed: 05/30/2023]
Abstract
BACKGROUND Adenocarcinoma (AC) is the most common lung cancer among non-smokers, but few studies have assessed the effect of PM2.5 on AC among never smokers. The purpose of this study was to assess the association between ambient PM2.5 and incident lung AC in the Adventist Health and Smog Study-2 (AHSMOG-2), a cohort of 80,044 non-smokers (81% never smokers) followed for 7.5 years (597,177 person-years) (2002-2011). METHODS Incident lung AC was identified through linkage with U.S. state cancer registries. Ambient PM2.5 levels at subjects' residences were estimated for the years 2000 and 2001, immediately prior to study start. RESULTS A total of 164 incident lung AC occurred during follow-up. Each 10 μg/m3 increment in PM2.5 was associated with an increase in the hazard rate of lung AC [HR = 1.31 (95% confidence interval (CI) 0.87-1.97)] in the single-pollutant model. Excluding those with prevalent non-melanoma skin cancer (NMSC) strengthened the association with lung AC (HR = 1.62 (95% CI, 1.11-2.36) for each 10 μg/m3 PM2.5 increment. Also, limiting the analyses to subjects who spent more than 1 h/day outdoors, increased the estimate (HR = 1.55, 95% CI: 1.05, 2.30). CONCLUSIONS Increased risk of AC was observed for each 10 μg/m3 increment in ambient PM2.5 concentrations. The risk was higher among those without prevalent NMSC and those who spent more than 1 h/day outdoors.
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Affiliation(s)
- Lida Gharibvand
- School of Allied Health Professions, Loma Linda University, Loma Linda, CA USA
| | - W. Lawrence Beeson
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA USA
- Adventist Health Study-2, School of Public Health, Loma Linda University, Loma Linda, CA USA
| | - David Shavlik
- Center for Community Resilience, School of Public Health, Loma Linda University, Loma Linda, CA USA
| | - Raymond Knutsen
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA USA
- Adventist Health Study-2, School of Public Health, Loma Linda University, Loma Linda, CA USA
| | - Mark Ghamsary
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA USA
| | - Samuel Soret
- Center for Community Resilience, School of Public Health, Loma Linda University, Loma Linda, CA USA
| | - Synnove F. Knutsen
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA USA
- Adventist Health Study-2, School of Public Health, Loma Linda University, Loma Linda, CA USA
- Loma Linda University School of Public Health, 24951 North Circle Drive, Nichol Hall 2005, Loma Linda, CA 92350 USA
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Wallwork RS, Colicino E, Zhong J, Kloog I, Coull BA, Vokonas P, Schwartz JD, Baccarelli AA. Ambient Fine Particulate Matter, Outdoor Temperature, and Risk of Metabolic Syndrome. Am J Epidemiol 2017; 185:30-39. [PMID: 27927620 DOI: 10.1093/aje/kww157] [Citation(s) in RCA: 106] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Accepted: 10/11/2016] [Indexed: 12/21/2022] Open
Abstract
Ambient air pollution and temperature have been linked with cardiovascular morbidity and mortality. Metabolic syndrome and its components-abdominal obesity, elevated fasting blood glucose concentration, low high-density lipoprotein cholesterol concentration, hypertension, and hypertriglyceridemia-predict cardiovascular disease, but the environmental causes are understudied. In this study, we prospectively examined the long-term associations of air pollution, defined as particulate matter with an aerodynamic diameter less than or equal to 2.5 µm (PM2.5), and temperature with the development of metabolic syndrome and its components. Using covariate-adjustment Cox proportional hazards models, we estimated associations of mean annual PM2.5 concentration and temperature with risk of incident metabolic dysfunctions between 1993 and 2011 in 587 elderly (mean = 70 (standard deviation, 7) years of age) male participants in the Normative Aging Study. A 1-μg/m3 increase in mean annual PM2.5 concentration was associated with a higher risk of developing metabolic syndrome (hazard ratio (HR) = 1.27, 95% confidence interval (CI): 1.06, 1.52), an elevated fasting blood glucose level (HR = 1.20, 95% CI: 1.03, 1.39), and hypertriglyceridemia (HR = 1.14, 95% CI: 1.00, 1.30). Our findings for metabolic syndrome and high fasting blood glucose remained significant for PM2.5 levels below the Environmental Protection Agency's health-safety limit (12 μg/m3). A 1°C increase in mean annual temperature was associated with a higher risk of developing elevated fasting blood glucose (HR = 1.33, 95% CI: 1.14, 1.56). Men living in neighborhoods with worse air quality-with higher PM2.5 levels and/or temperatures than average-showed increased risk of developing metabolic dysfunctions.
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Dionisio KL, Chang HH, Baxter LK. A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series models. Environ Health 2016; 15:114. [PMID: 27884187 PMCID: PMC5123332 DOI: 10.1186/s12940-016-0186-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 10/20/2016] [Indexed: 05/18/2023]
Abstract
BACKGROUND Exposure measurement error in copollutant epidemiologic models has the potential to introduce bias in relative risk (RR) estimates. A simulation study was conducted using empirical data to quantify the impact of correlated measurement errors in time-series analyses of air pollution and health. METHODS ZIP-code level estimates of exposure for six pollutants (CO, NOx, EC, PM2.5, SO4, O3) from 1999 to 2002 in the Atlanta metropolitan area were used to calculate spatial, population (i.e. ambient versus personal), and total exposure measurement error. Empirically determined covariance of pollutant concentration pairs and the associated measurement errors were used to simulate true exposure (exposure without error) from observed exposure. Daily emergency department visits for respiratory diseases were simulated using a Poisson time-series model with a main pollutant RR = 1.05 per interquartile range, and a null association for the copollutant (RR = 1). Monte Carlo experiments were used to evaluate the impacts of correlated exposure errors of different copollutant pairs. RESULTS Substantial attenuation of RRs due to exposure error was evident in nearly all copollutant pairs studied, ranging from 10 to 40% attenuation for spatial error, 3-85% for population error, and 31-85% for total error. When CO, NOx or EC is the main pollutant, we demonstrated the possibility of false positives, specifically identifying significant, positive associations for copollutants based on the estimated type I error rate. CONCLUSIONS The impact of exposure error must be considered when interpreting results of copollutant epidemiologic models, due to the possibility of attenuation of main pollutant RRs and the increased probability of false positives when measurement error is present.
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Affiliation(s)
- Kathie L. Dionisio
- National Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC USA
| | - Howard H. Chang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA USA
| | - Lisa K. Baxter
- National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC USA
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Davarashvili S, Zusman M, Keinan-Boker L, Rybnikova N, Kaufman Z, Silverman BG, Dubnov J, Linn S, Portnov BA. Application of the double kernel density approach to the analysis of cancer incidence in a major metropolitan area. ENVIRONMENTAL RESEARCH 2016; 150:269-281. [PMID: 27336231 DOI: 10.1016/j.envres.2016.06.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 05/26/2016] [Accepted: 06/06/2016] [Indexed: 06/06/2023]
Abstract
RATIONALE Although cancer is a main cause of human morbidity worldwide, relatively small numbers of new cancer cases are recorded annually in single urban areas. This makes the association between cancer morbidity and environmental risk factors, such as ambient air pollution, difficult to detect using traditional methods of analysis based on age standardized rates and zonal estimates. STUDY GOAL The present study investigates the association between air pollution and cancer morbidity in the Greater Haifa Metropolitan Area in Israel by comparing two analytical techniques: the traditional zonal approach and more recently developed Double Kernel Density (DKD) tools. While the first approach uses age adjusted Standardized Incidence Ratios (SIRs) for small census areas, the second approach estimates the areal density of cancer cases, normalized by the areal density of background population in which cancer events occurred. Both analyses control for several potential confounders, including air pollution, proximities to main industrial facilities and socio-demographic attributes. RESULTS Air pollution variables and distances to industrial facilities emerged as statistically significant predictors of lung and NHL cancer morbidity in the DKD-based models (p<0.05) but not in the models based on SIRs estimates (p>0.2). CONCLUSION DKD models appear to be a more sensitive tool for assessing potential environmental risks than traditional SIR-based models, because DKD estimates do not depend on a priory geographic delineations of statistical zones and produce a smooth and continuous disease 'risk surface' covering the entire study area. We suggest using the DKD method in similar studies of the effect of ambient air pollution on chronic morbidity, especially in cases in which the number of statistical areas available for aggregation and comparison is small and recorded morbidity events are relatively rare.
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Affiliation(s)
- Sarit Davarashvili
- Department of Natural Resources & Environmental Management, Faculty of Management, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - Marina Zusman
- Department of Natural Resources & Environmental Management, Faculty of Management, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Israel; School of Public Health, University of Haifa, Israel
| | - Natalya Rybnikova
- Department of Natural Resources & Environmental Management, Faculty of Management, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | | | | | | | - Shai Linn
- School of Public Health, University of Haifa, Israel
| | - Boris A Portnov
- Department of Natural Resources & Environmental Management, Faculty of Management, University of Haifa, Mt. Carmel, Haifa 3498838, Israel.
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Abstract
PURPOSE OF THE REVIEW Air pollution continues to be a major public health concern affecting nine out of 10 individuals living in urban areas worldwide. Exposure to air pollution is the ninth leading risk factor for cardiopulmonary mortality. The aim of this review is to examine the current literature for the most recent updates on health effects of specific air pollutants and their impact on asthma, chronic obstructive pulmonary disease, lung cancer, and respiratory infection. RECENT FINDINGS A total of 52 publications were reviewed to establish new insights as to how air pollution is associated with pulmonary morbidity and mortality. Considerable past evidence suggests that air pollution is an important factor that enhances pulmonary disease, while also causing greater harm in susceptible populations, such as children, the elderly, and those of low socio-economic status worldwide. Asthma, chronic obstructive pulmonary disease, lung cancer, and respiratory infections all seem to be exacerbated because of exposure to a variety of environmental air pollutants with the greatest effects because of particulate matter, ozone, and nitrogen oxides. New publications reviewed reaffirm these findings. SUMMARY Continued vigilance will be essential to lessen the effects of air pollution on human health and pulmonary disease. Cooperation at a multinational level will be required on the part of governments, industry, energy-based enterprises, and the public working together to solve our air quality issues at the local, national, and global level.
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Characteristics of DNA methylation changes induced by traffic-related air pollution. MUTATION RESEARCH-GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2015; 796:46-53. [PMID: 26778509 DOI: 10.1016/j.mrgentox.2015.12.002] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 12/04/2015] [Accepted: 12/14/2015] [Indexed: 12/20/2022]
Abstract
Traffic-related air pollution (TRAP) is a potential risk factor for numerous respiratory disorders, including lung cancer, while alteration of DNA methylation may be one of the underlying mechanisms. However, the effects of TRAP mixtures on DNA methylation have not been investigated. We have studied the effects of brief or prolonged TRAP exposures on DNA methylation in the rat. The exposures were performed in spring and autumn, with identical study procedures. In each season, healthy Wistar rats were exposed to TRAP at for 4 h, 7 d, 14 d, or 28 d. Global DNA methylation (LINE-1 and Alu) and specific gene methylation (p16(CDKN2A), APC, and iNOS) in the DNA from blood and lung tissues were quantified by pyrosequencing. Multiple linear regression was applied to assess the influence of air pollutants on DNA methylation levels. The levels of PM2.5, PM10, and NO2 in the high and moderate groups were significantly higher than in the control group. The DNA methylation levels were not significantly different between spring and autumn. When spring and autumn data were analyzed together, PM2.5, PM10, and NO2 exposures were associated with changes in%5mC (95% CI) in LINE-1, iNOS, p16(CDKN2A), and APC ranging from -0.088 (-0.150, -0.026) to 0.102 (0.049, 0.154) per 1 μg/m(3) increase in the pollutant concentration. Prolonged exposure to a high level of TRAP was negatively associated with LINE-1 and iNOS methylation, and positively associated with APC methylations in the DNA from lung tissues but not blood. These findings show that TRAP exposure is associated with decreased methylation of LINE-1 and iNOS, and increased methylation of p16(CDKN2A) and APC.
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Hart JE, Liao X, Hong B, Puett RC, Yanosky JD, Suh H, Kioumourtzoglou MA, Spiegelman D, Laden F. The association of long-term exposure to PM2.5 on all-cause mortality in the Nurses' Health Study and the impact of measurement-error correction. Environ Health 2015; 14:38. [PMID: 25926123 PMCID: PMC4427963 DOI: 10.1186/s12940-015-0027-6] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 04/22/2015] [Indexed: 05/18/2023]
Abstract
BACKGROUND Long-term exposure to particulate matter less than 2.5 μm in diameter (PM2.5) has been consistently associated with risk of all-cause mortality. The methods used to assess exposure, such as area averages, nearest monitor values, land use regressions, and spatio-temporal models in these studies are subject to measurement error. However, to date, no study has attempted to incorporate adjustment for measurement error into a long-term study of the effects of air pollution on mortality. METHODS We followed 108,767 members of the Nurses' Health Study (NHS) 2000-2006 and identified all deaths. Biennial mailed questionnaires provided a detailed residential address history and updated information on potential confounders. Time-varying average PM2.5 in the previous 12-months was assigned based on residential address and was predicted from either spatio-temporal prediction models or as concentrations measured at the nearest USEPA monitor. Information on the relationships of personal exposure to PM2.5 of ambient origin with spatio-temporal predicted and nearest monitor PM2.5 was available from five previous validation studies. Time-varying Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95 percent confidence intervals (95%CI) for each 10 μg/m(3) increase in PM2.5. Risk-set regression calibration was used to adjust estimates for measurement error. RESULTS Increasing exposure to PM2.5 was associated with an increased risk of mortality, and results were similar regardless of the method chosen for exposure assessment. Specifically, the multivariable adjusted HRs for each 10 μg/m(3) increase in 12-month average PM2.5 from spatio-temporal prediction models were 1.13 (95%CI:1.05, 1.22) and 1.12 (95%CI:1.05, 1.21) for concentrations at the nearest EPA monitoring location. Adjustment for measurement error increased the magnitude of the HRs 4-10% and led to wider CIs (HR = 1.18; 95%CI: 1.02, 1.36 for each 10 μg/m(3) increase in PM2.5 from the spatio-temporal models and HR = 1.22; 95%CI: 1.02, 1.45 from the nearest monitor estimates). CONCLUSIONS These findings support the large body of literature on the adverse effects of PM2.5, and suggest that adjustment for measurement error be considered in future studies where possible.
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Affiliation(s)
- Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 401 Park Drive, Landmark Center, Boston, MA, 02215, USA.
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Landmark Center, Boston, MA, 02215, USA.
| | - Xiaomei Liao
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
| | - Biling Hong
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
| | - Robin C Puett
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, 2234 School of Public Health, College Park, MD, 20742, USA.
| | - Jeff D Yanosky
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA.
| | - Helen Suh
- Department of Health Sciences, Bouve College of Health Sciences, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA.
| | - Marianthi-Anna Kioumourtzoglou
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Landmark Center, Boston, MA, 02215, USA.
| | - Donna Spiegelman
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 401 Park Drive, Landmark Center, Boston, MA, 02215, USA.
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Landmark Center, Boston, MA, 02215, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
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