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Park J, Kim OJ, Shin M, Choi E, Kang S, Hwang SS, Cho YJ, Kim SY. Long-term exposure to air pollution and lung cancer incidence: findings from improved exposure assessment and extended population. Cancer Causes Control 2025:10.1007/s10552-025-02010-6. [PMID: 40383829 DOI: 10.1007/s10552-025-02010-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Accepted: 05/07/2025] [Indexed: 05/20/2025]
Abstract
PURPOSE Accumulating evidence suggested long-term exposure to air pollution as a risk factor of lung cancer. Recent efforts confirmed the association based on extended population and individual exposure by leveraging administrative databases and complete address information. However, few studies achieved simultaneous improvements. Using the 2 million cohort along with their individual residential exposures, this study aimed to investigate the association of four criteria pollutants and incident lung cancer in the Seoul Metropolitan Area, South Korea. METHODS Our study population included 2,035,278 people aged ≥ 30 years and without cancer for 2002-2006 from the National Health Insurance System database. We identified lung cancer incidence for 2007-2016 and assessed individual long-term exposure to particulate matter ≤ 10 µm and 2.5 µm in diameter (PM10 and PM2.5), nitrogen dioxide (NO2), and ozone at participants' home addresses by using previously validated exposure prediction models. Using time-varying Cox proportional hazard models, we estimated hazard ratios (HRs) per interquartile range increase in each pollutant concentration adjusting for individual and area-level characteristics. RESULTS There were 18,229 lung cancer new cases over 10 years. We did not find the association for all four pollutants (PM10: HR = 0.99 [95% Confidence Interval = 0.93-1.04]; PM2.5: 0.97 [0.92-1.02]; NO2: 1.00 [0.96-1.05]; and ozone: 1.01 [0.98-1.04]). The extended stratified and sensitivity analyses mostly showed null associations. CONCLUSION Our findings of no association contradictory to existing evidence, despite the considerable improvement in exposure assessment and population size, suggest further examination by integrating histological variation and indoor and/or personal exposure.
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Affiliation(s)
- Jeongho Park
- Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea
| | - Ok-Jin Kim
- Environmental Health Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Miyoun Shin
- Department of Cancer AI and Digital Health, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-Do, Republic of Korea
| | - Euijun Choi
- Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea
| | - Sungchan Kang
- Department of Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Seung-Sik Hwang
- Department of Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Young-Jae Cho
- Respiratory Medicine, Seoul National University Bundang Hospital, Gyeonggi-Do, Republic of Korea
| | - Sun-Young Kim
- Department of Cancer AI and Digital Health, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-Do, Republic of Korea.
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Jo DU, Kim Y, Ko H, Hong S, Lim W, Lim TG. Chrysanthemum Zawadskii Var. and Platycodon Grandifloras Extract Mixture Protects Against Lipopolysaccharide-Induced Pulmonary Inflammation and Cyclophosphamide-Induced Immune Deficiency: In Vivo Evidence. J Med Food 2025; 28:256-265. [PMID: 39761001 DOI: 10.1089/jmf.2024.k.0245] [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] [Indexed: 01/07/2025] Open
Abstract
Respiratory tract diseases (RTDs) cause airflow limitations and impaired respiratory function, primarily due to pulmonary inflammation and immune dysfunction. Chrysanthemum zawadskii var. latilobum Kitamur and Platycodon grandifloras (CP) are traditional herbs known for their anti-inflammatory and immune-enhancing properties. This study investigates the anti-inflammatory and immune-enhancing effects of a combined extract of CP in vivo. CP was prepared by mixing equal volumes of Chrysanthemum zawadskii extract (CE) and Platycodon grandifloras extract (PE) at the same concentration. The anti-inflammatory effects of CP were evaluated using a lipopolysaccharide (LPS)-induced inflammation model in BALB/c mice. The immune-enhancing effects were assessed using a cyclophosphamide (CYP)-induced immunosuppression model. Protein and mRNA expressions of inflammatory and immune markers were analyzed through Western blotting and quantitative real-time PCR. CP significantly reduced LPS-induced pulmonary inflammation by decreasing interleukin (IL)-1β and cyclooxygenase-2 expression in lung tissues. In the CYP-induced model, CP treatment restored spleen and thymus weights, reversed reductions in immune cell counts, and increased TNF-α and IL-2 mRNA expression in the spleen. In conclusion, CP inhibits pulmonary inflammation by suppressing inflammatory mediators and enhances immune function by increasing immune-related indicators. This suggests that CP may have potential therapeutic applications for treating respiratory inflammation and related diseases.
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Affiliation(s)
- Dong-Uk Jo
- Department of Food Science & Biotechnology, Sejong University, Seoul, Republic of Korea
| | - Yongeun Kim
- Division of Functional Food Research, Korea Food Research Institute, Wanju-gun, Republic of Korea
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, USA
| | - Heejin Ko
- Department of Food Science & Biotechnology, Sejong University, Seoul, Republic of Korea
| | - Sujung Hong
- Department of Food Science & Biotechnology, Sejong University, Seoul, Republic of Korea
| | - Wonchul Lim
- Department of Food Science & Biotechnology, and Carbohydrate Bioproduct Research Center, Sejong University, Seoul, Republic of Korea
| | - Tae-Gyu Lim
- Department of Food Science & Biotechnology, Sejong University, Seoul, Republic of Korea
- Department of Food Science & Biotechnology, and Carbohydrate Bioproduct Research Center, Sejong University, Seoul, Republic of Korea
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Zhou C, Xv J, Xia W, Wu Y, Jia X, Li S. Greenness, air pollution, and mortality risk: a retrospective cohort study of patients with lung cancer in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2025; 35:370-381. [PMID: 38770969 DOI: 10.1080/09603123.2024.2355278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/10/2024] [Indexed: 05/22/2024]
Abstract
The association between long-term exposure to air pollution and mortality from lung cancer has been established, yet evaluations of the potential mitigating effects of greenness on this impact are scarce. We conducted a cohort study in Pingyi County. A two-level Cox proportional hazards regression model was used to examine the associations among long-term exposure to air pollution, residential greenness, and lung cancer mortality. Among the examined pollutants, nitrogen dioxide exhibited the most significant adverse effects and highest risk of lung cancer mortality, with hazard ratio (HR) = 2.783 (95% confidence interval [CI]: 1.885-4.107) for all-cause mortality, HR = 2.492 (95%CI: 1.659-3.741) for tumour-related mortality, and HR = 2.431 (95%CI: 1.606-3.678) for lung cancer mortality. Higher greenness values were associated with a reduced risk of lung cancer mortality. These findings suggest the importance of implementing strategies for increasing greenness to reduce the health impacts of air pollution.
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Affiliation(s)
- Changqiang Zhou
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Juan Xv
- Chronic Disease Department, Pingyi Center for Disease Control and Prevention, Pingyi, China
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Healthcare Big Data Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wanning Xia
- Department of Epidemiology and Statistics, Bengbu Medical College, Bengbu, China
| | - Yue Wu
- Department of Epidemiology and Statistics, Bengbu Medical College, Bengbu, China
| | - Xianjie Jia
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Healthcare Big Data Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Epidemiology and Statistics, Bengbu Medical College, Bengbu, China
| | - Shixue Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
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Hua Q, Meng X, Gong J, Qiu X, Shang J, Xue T, Zhu T. Ozone exposure and cardiovascular disease: A narrative review of epidemiology evidence and underlying mechanisms. FUNDAMENTAL RESEARCH 2025; 5:249-263. [PMID: 40166088 PMCID: PMC11955045 DOI: 10.1016/j.fmre.2024.02.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 04/02/2025] Open
Abstract
Ozone (O3) poses a significant global public health concern as it exerts adverse effects on human cardiovascular health. Nevertheless, there remains a lack of comprehensive understanding regarding the relationships between O3 exposure and the risk of cardiovascular diseases (CVD), as well as the underlying biological mechanisms. To address this knowledge gap, this narrative review meticulously summarizes the existing epidemiological evidence, susceptibility, and potential underlying biological mechanisms linking O3 exposure with CVD. An increasing body of epidemiological studies has demonstrated that O3 exposure heightens the incidence and mortality of CVD, including specific subtypes such as ischemic heart disease, hypertension, and heart failure. Certain populations display heightened vulnerability to these effects, particularly children, the elderly, obese individuals, and those with pre-existing conditions. Proposed biological mechanisms suggest that O3 exposure engenders respiratory and systemic inflammation, oxidative stress, disruption of autonomic nervous and neuroendocrine systems, as well as impairment of coagulation function, glucose, and lipid metabolism. Ultimately, these processes contribute to vascular dysfunction and the development of CVD. However, some studies have reported the absence of associations between O3 and CVD, or even potentially protective effects of O3. Inconsistencies among the literature may be attributed to inaccurate assessment of personal O3 exposure levels in epidemiologic studies, as well as confounding effects stemming from co-pollutants and temperature. Consequently, our findings underscore the imperative for further research, including the development of reliable methodologies for assessing personal O3 exposure, exploration of O3 exposure's impact on cardiovascular health, and elucidation of its biological mechanisms. These endeavors will consolidate the causal relationship between O3 and cardiovascular diseases, subsequently aiding efforts to mitigate the risks associated with O3 exposure.
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Affiliation(s)
- Qiaoyi Hua
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Xin Meng
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Jicheng Gong
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Xinghua Qiu
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Jing Shang
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100871, China
| | - Tong Zhu
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
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Chen J, Atkinson RW, Andersen ZJ, Oftedal B, Stafoggia M, Lim YH, Bekkevold T, Krog NH, Renzi M, Zhang J, Bauwelinck M, Janssen N, Strak M, Forastiere F, de Hoogh K, Rodopoulou S, Katsouyanni K, Raaschou-Nielsen O, Samoli E, Brunekreef B, Hoek G, Vienneau D. Long-term exposure to ambient air pollution and risk of lung cancer - A comparative analysis of incidence and mortality in four administrative cohorts in the ELAPSE study. ENVIRONMENTAL RESEARCH 2024; 263:120236. [PMID: 39455045 DOI: 10.1016/j.envres.2024.120236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 10/22/2024] [Accepted: 10/23/2024] [Indexed: 10/28/2024]
Abstract
BACKGROUND Studies have linked air pollution to lung cancer incidence and mortality, but few have compared these associations, which may differ due to cancer survival variations. We aimed to evaluate the association between long-term air pollution exposure and lung cancer incidence and compare findings with previous lung cancer mortality analyses within the same cohorts. METHODS We analyzed four population-based administrative cohorts in Denmark (2000-2015), England (2011-2017), Norway (2001-2016) and Rome (2001-2015). We assessed residential exposure to annual average fine particulate matter (PM2.5), nitrogen dioxide (NO₂), black carbon (BC), and warm-season ozone (O3) using Europe-wide land use regression models. We used Cox proportional hazard models to evaluate cohort-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for lung cancer incidence identified using hospital admission records (English and Roman cohorts) or cancer registries (Danish and Norwegian cohorts). We evaluated the associations at low exposure levels using subset analyses and natural cubic splines. Cohort-specific HRs were pooled using random-effects meta-analyses, separately for incidence and mortality. RESULTS Over 93,733,929 person-years of follow-up, 111,949 incident lung cancer cases occurred. Incident lung cancer was positively associated with PM2.5, NO2 and BC, and negatively associated with O3. The negative O3 association became positive after adjustment for NO2. Associations were almost identical or slightly stronger for lung cancer incidence than mortality in the same cohorts, with respective meta-analytic HRs (95% CIs) of 1.14 (1.06, 1.22) and 1.12 (1.02, 1.22) per 5 μg/m3 increase in PM2.5, and 1.10 (1.04, 1.16) and 1.09 (1.02, 1.16) per 10 μg/m3 increase in NO2. Positive associations persisted for both incidence and mortality at low pollution levels with similar magnitude. CONCLUSIONS We found similarly elevated risks of lung cancer incidence and mortality in association with residential exposure to PM2.5, NO2 and BC in meta-analyses of four European administrative cohorts, which persisted at low pollution levels.
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Affiliation(s)
- Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80177, NL, 3508, TD, Utrecht, the Netherlands.
| | - Richard W Atkinson
- Population Health Research Institute, St George's, University of London, London, SW17 0RE, UK
| | - Zorana Jovanovic Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - Bente Oftedal
- Department of Air Quality and Noise, Norwegian Institute of Public Health, P.O. Box 222, Skøyen, N-0213, Oslo, Norway
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, 00147 Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-171 77 Stockholm, Sweden
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - Terese Bekkevold
- Section of vaccine epidemiology and population studies, Norwegian Institute of Public Health, P.O. Box 222, Skøyen, N-0213 Oslo, Norway
| | - Norun Hjertager Krog
- Department of Air Quality and Noise, Norwegian Institute of Public Health, P.O. Box 222, Skøyen, N-0213, Oslo, Norway
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, 00147 Rome, Italy
| | - Jiawei Zhang
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - Mariska Bauwelinck
- Brussels Institute for Social and Population Studies (BRISPO) - Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
| | - Nicole Janssen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Maciek Strak
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Francesco Forastiere
- Institute for Biomedical Research and Innovation (IRIB), National Research Council, 90146 Palermo, Italy; Environmental Research Group, King's College London, SE1 9NH, UK
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Switzerland; University of Basel, Petersplatz 1, Postfach, 4001 Basel, Switzerland
| | - Sophia Rodopoulou
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodstrian University of Athens, Medical School 75, Mikras Asias street 115 27 Athens, Greece
| | - Klea Katsouyanni
- Environmental Research Group, King's College London, SE1 9NH, UK; Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodstrian University of Athens, Medical School 75, Mikras Asias street 115 27 Athens, Greece
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Evangelia Samoli
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodstrian University of Athens, Medical School 75, Mikras Asias street 115 27 Athens, Greece
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80177, NL, 3508, TD, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80177, NL, 3508, TD, Utrecht, the Netherlands
| | - Danielle Vienneau
- Environmental Research Group, King's College London, SE1 9NH, UK; Swiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Switzerland
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Kasdagli MI, Orellano P, Pérez Velasco R, Samoli E. Long-Term Exposure to Nitrogen Dioxide and Ozone and Mortality: Update of the WHO Air Quality Guidelines Systematic Review and Meta-Analysis. Int J Public Health 2024; 69:1607676. [PMID: 39494092 PMCID: PMC11527649 DOI: 10.3389/ijph.2024.1607676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 09/26/2024] [Indexed: 11/05/2024] Open
Abstract
Objectives We performed a systematic review and meta-analysis on long-term exposure to nitrogen dioxide (NO2) and ozone (O3) with mortality, to expand evidence that informed 2021 the WHO Air Quality Guidelines and guide the Health Risks of Air Pollution in Europe project. Methods We included cohorts investigating NO2 and O3 mortality from all-causes, respiratory diseases, chronic obstructive pulmonary disease (COPD), acute lower respiratory infections (ALRI); and NO2 mortality from circulatory, ischemic heart, cerebrovascular diseases and lung cancer. We pooled estimates by random-effects models and investigated heterogeneity. We assessed the certainty of the evidence using the Grading of Recommendations Assessment Development approach and Evaluation (GRADE). Results We selected 83 studies for NO2 and 26 for O3 for the meta-analysis. NO2 was associated with all outcomes, except for cerebrovascular mortality. O3 was associated with respiratory mortality following annual exposure. There was high heterogeneity, partly explained by region and pollutant levels. Certainty was high for NO2 with COPD and ALRI, and annual O3 with respiratory mortality. Conclusion An increasing body of evidence, with new results from countrywide areas and the Western Pacific, supports certainty, including new outcomes.
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Affiliation(s)
- Maria-Iosifina Kasdagli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Pablo Orellano
- Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET), Universidad Tecnologica Nacional, Facultad Regional San Nicolas, San Nicolas, Argentina
| | - Román Pérez Velasco
- World Health Organization (WHO) Regional Office for Europe, European Centre for Environment and Health, Bonn, Germany
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Gao J, Mendes de Leon CF, Zhang B, Weuve J, Langa KM, D'Souza J, Szpiro A, Faul J, Kaufman JD, Hirth R, Adar SD. Long-term air pollution exposure and incident physical disability in older US adults: a cohort study. THE LANCET. HEALTHY LONGEVITY 2024; 5:100629. [PMID: 39342952 DOI: 10.1016/j.lanhl.2024.07.012] [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: 02/14/2024] [Revised: 07/22/2024] [Accepted: 07/29/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND Disability is a key marker of overall physical health in older adults and is often preceded by chronic disease. Although air pollution is a well recognised risk factor for multiple chronic diseases, its association with physical disability has not been well characterised. We investigated the associations of air pollutants with physical disability in a large cohort representative of older adults in the USA. METHODS We used biennial data on incident activities of daily living (ADL) disability collected from respondents of the Health and Retirement Survey between 2000 and 2016. As part of the Environmental Predictors of Cognitive Health and Aging study, we estimated 10-year average PM2·5, PM10-2·5, nitrogen dioxide (NO2), and ozone (O3) concentrations at participant residences before each survey using spatiotemporal prediction models. We used a time-varying, weighted Cox model to estimate hazard ratios (HRs) for incident physical disability per interquartile increase of air pollution with detailed adjustments for confounders. FINDINGS Among 15 411 respondents aged 65 years and older (mean age 70·2 [SD 6·5] years; 55% female, 45% male), 48% of respondents reported newly having ADL disability during a mean follow-up of 7·9 years (SD 4·7). In fully adjusted models, we found greater risks of ADL disability associated with higher concentrations of PM2·5 (HR 1·03 per 3·7 μg/m³ [95% CI 0·99-1·08], p=0·16), PM10-2·5 (1·05 per 4·9 μg/m³ [1·00-1·11], p=0·022), and NO2 (1·03 per 7·5 ppb [0·99-1·08]. p=0·064), although not all these associations were statistically significant. In contrast, O3 was associated with a lower risk of ADL disability (0·95 per 3·7 ppb [0·91-1·00], p=0·030). In a multi-pollutant model, associations were similar to the single-pollutant models for PM10-2·5 (1·05 per 4·9 μg/m³ [1·00-1·11], p=0·041) and O3 (0·94 per 3·7 ppb [0·88-1·01], p=0·083). INTERPRETATION Our findings suggest that air pollution might be an underappreciated risk factor for physical disability in later life, although additional research is needed. FUNDING National Institutes of Environmental Health Sciences and National Institute on Aging.
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Affiliation(s)
- Jiaqi Gao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | | | - Boya Zhang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Kenneth M Langa
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA; University of Michigan Medical School, University of Michigan, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Center for Clinical Management Research, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer D'Souza
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Adam Szpiro
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jessica Faul
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Joel D Kaufman
- Department of Epidemiology, University of Washington, Seattle, WA, USA; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Richard Hirth
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Sara D Adar
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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Yu Y, Tang Z, Huang Y, Zhang J, Wang Y, Zhang Y, Wang Q. Assessing long-term effects of gaseous air pollution exposure on mortality in the United States using a variant of difference-in-differences analysis. Sci Rep 2024; 14:16220. [PMID: 39003417 PMCID: PMC11246484 DOI: 10.1038/s41598-024-66951-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 07/05/2024] [Indexed: 07/15/2024] Open
Abstract
Long-term mortality effects of particulate air pollution have been investigated in a causal analytic frame, while causal evidence for associations with gaseous air pollutants remains extensively lacking, especially for carbon monoxide (CO) and sulfur dioxide (SO2). In this study, we estimated the causal relationship of long-term exposure to nitrogen dioxide (NO2), CO, SO2, and ozone (O3) with mortality. Utilizing the data from National Morbidity, Mortality, and Air Pollution Study, we applied a variant of difference-in-differences (DID) method with conditional Poisson regression and generalized weighted quantile sum regression (gWQS) to investigate the independent and joint effects. Independent exposures to NO2, CO, and SO2 were causally associated with increased risks of total, nonaccidental, and cardiovascular mortality, while no evident associations with O3 were identified in the entire population. In gWQS analyses, an interquartile range-equivalent increase in mixture exposure was associated with a relative risk of 1.067 (95% confidence interval: 1.010-1.126) for total mortality, 1.067 (1.009-1.128) for nonaccidental mortality, and 1.125 (1.060-1.193) for cardiovascular mortality, where NO2 was identified as the most significant contributor to the overall effect. This nationwide DID analysis provided causal evidence for independent and combined effects of NO2, CO, SO2, and O3 on increased mortality risks among the US general population.
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Affiliation(s)
- Yong Yu
- Center of Health Administration and Development Studies, School of Public Health, Hubei University of Medicine, Shiyan, 442000, China
| | - Ziqing Tang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yuqian Huang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Jingjing Zhang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yixiang Wang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yunquan Zhang
- Center of Health Administration and Development Studies, School of Public Health, Hubei University of Medicine, Shiyan, 442000, China.
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China.
| | - Qun Wang
- Center of Health Administration and Development Studies, School of Public Health, Hubei University of Medicine, Shiyan, 442000, China.
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Wei X, Ho KF, Yu T, Lin C, Chang LY, Chen D, Tam T, Huang B, Lau AKH, Lao XQ. The joint effect of long-term exposure to multiple air pollutants on non-accidental and cause-specific mortality: A longitudinal cohort study. JOURNAL OF HAZARDOUS MATERIALS 2024; 472:134507. [PMID: 38718510 DOI: 10.1016/j.jhazmat.2024.134507] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/20/2024] [Accepted: 04/30/2024] [Indexed: 05/30/2024]
Abstract
The long-term joint impacts of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3) on mortality are inconclusive. To bridge this research gap, we included 283,568 adults from the Taiwan MJ cohort between 2005 and 2016 and linked with the mortality data until 31 May 2019. Participants' annual average exposures to PM2.5, NO2, and O3 were estimated using satellite-based spatial-temporal models. We applied elastic net-regularised Cox models to construct a weighted environmental risk score (WERS) for the joint effects of three pollutants on non-accidental, cardiovascular, and cancer mortality and evaluated the contribution of each pollutant. The three pollutants jointly raised non-accidental mortality risk with a WERS hazard ratio (HR) of 1.186 (95% CI: 1.118-1.259) per standard deviation increase in each pollutant and weights of 72.8%, 15.2%, and 12.0% for PM2.5, NO2, and O3, respectively. The WERS increased cardiovascular death risk [HR: 1.248 (1.042-1.496)], with PM2.5 as the first contributor and O3 as the second. The WERS also elevated the cancer death risk [HR: 1.173 (1.083-1.270)], where PM2.5 played the dominant role and NO2 ranked second. Coordinated control of these three pollutants can optimise the health benefits of air quality improvements.
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Affiliation(s)
- Xianglin Wei
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Kin Fai Ho
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Tsung Yu
- Department of Public Health, College of Medicine, National Cheng Kung University, Taiwan
| | - Changqing Lin
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China
| | - Ly-Yun Chang
- Institute of Sociology, Academia Sinica, Taipei, Taiwan
| | - Dezhong Chen
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Tony Tam
- Department of Sociology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Bo Huang
- Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Alexis K H Lau
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China
| | - Xiang Qian Lao
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong Special Administrative Region of China.
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10
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Sun F, Gong X, Wei L, Zhang Y, Ge M, Xiong L. Assessing the impact of short-term ozone exposure on excess deaths from cardiovascular disease: a multi-pollutant model in Nanjing, China's Yangtze River Delta. Front Public Health 2024; 12:1353384. [PMID: 38939565 PMCID: PMC11208627 DOI: 10.3389/fpubh.2024.1353384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 06/03/2024] [Indexed: 06/29/2024] Open
Abstract
Background Ozone pollution is associated with cardiovascular disease mortality, and there is a high correlation between different pollutants. This study aimed to assess the association between ozone and cardiovascular disease deaths and the resulting disease burden in Nanjing, China. Methods A total of 151,609 deaths from cardiovascular disease were included in Nanjing, China from 2013 to 2021. Daily data on meteorological and air pollution were collected to apply a generalized additional model with multiple pollutants to perform exposure-response analyses, stratification analysis, and evaluation of excess deaths using various standards. Results In the multi-pollutant model, an increase of 10 μg/m3 in O3 was significantly associated with a 0.81% (95%CI: 0.49, 1.12%) increase in cardiovascular disease deaths in lag05. The correlation weakened in both the single-pollutant model and two-pollutant models, but remained more pronounced in females, the older group, and during warm seasons. From 2013 to 2021, the number of excess deaths attributed to ozone exposure in cardiovascular disease continued to rise with an increase in ozone concentration in Nanjing. If the ozone concentration were to be reduced to the WHO standard and the minimum level, the number of deaths would decrease by 1,736 and 10,882, respectively. Conclusion The risk of death and excess deaths from cardiovascular disease due to ozone exposure increases with higher ozone concentration. Reducing ozone concentration to meet WHO standards or lower can provide greater cardiovascular disease health benefits.
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Affiliation(s)
| | | | | | | | | | - Liling Xiong
- Department of Environment Health, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China
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11
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Fu M, Yang Y, Zhang X, Lei B, Chen T, Chen Y. In Vitro Profiling of Toxicity Effects of Different Environmental Factors on Skin Cells. TOXICS 2024; 12:108. [PMID: 38393203 PMCID: PMC10892983 DOI: 10.3390/toxics12020108] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/14/2024] [Accepted: 01/16/2024] [Indexed: 02/25/2024]
Abstract
The skin is constantly exposed to a variety of environmental threats. Therefore, the influence of environmental factors on skin damage has always been a matter of concern. This study aimed to investigate the cytotoxic effects of different environmental factors, including cooking oil fumes (COFs), haze (PM2.5), and cigarette smoke (CS), on epidermal HaCaT cells and dermal fibroblast (FB) cells. Cell viability, intracellular reactive oxygen species (ROS) generation, inflammatory cytokine levels, and collagen mRNA expression were used as toxicity endpoints. Additionally, the effects of ozone (O3) on cell viability and release of inflammatory cytokines in 3D epidermal cells were also examined. The results showed that the organic extracts of CS, COFs, and PM2.5 significantly inhibited the viability of HaCaT and FB cells at higher exposure concentrations. These extracts also increased intracellular ROS levels in FB cells. Furthermore, they significantly promoted the release of inflammatory cytokines, such as IL-1α and TNF-α, in HaCaT cells and down-regulated the mRNA expression of collagen I, III, IV, and VII in FB cells. Comparatively, SC organic extracts exhibited stronger cytotoxicity to skin cells compared to PM2.5 and COFs. Additionally, O3 at all test concentrations significantly inhibited the viability of 3D epidermal cells in a concentration-dependent manner and markedly increased the levels of TNF-α and IL-1α in 3D epidermal cells. These findings emphasize the potential cytotoxicity of COFs, PM2.5, CS, and O3 to skin cells, which may lead to skin damage; therefore, we should pay attention to these environmental factors and take appropriate measures to protect the skin from their harmful effects.
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Affiliation(s)
- Minghui Fu
- Institute of Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China; (M.F.); (Y.Y.); (X.Z.)
| | - Yingxin Yang
- Institute of Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China; (M.F.); (Y.Y.); (X.Z.)
| | - Xiaolan Zhang
- Institute of Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China; (M.F.); (Y.Y.); (X.Z.)
| | - Bingli Lei
- Institute of Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China; (M.F.); (Y.Y.); (X.Z.)
| | - Tian Chen
- State Environmental Protection Key Laboratory of the Assessment of Effects of Emerging Pollutants on Environmental and Human Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
- Department of Environmental Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Yuanqi Chen
- Skincare Research Center of Dr. YU, Shanghai Jahwa United Co., Ltd., Shanghai 200082, China;
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12
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Peng M, Zhang F, Yuan Y, Yang Z, Wang K, Wang Y, Tang Z, Zhang Y. Long-term ozone exposure and all-cause mortality: Cohort evidence in China and global heterogeneity by region. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 270:115843. [PMID: 38141337 DOI: 10.1016/j.ecoenv.2023.115843] [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: 10/09/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Cohort evidence linking long-term ozone (O3) exposure to mortality remained largely mixed worldwide and was extensively deficient in densely-populated Asia. This study aimed to assess the long-term effects of O3 exposure on all-cause mortality among Chinese adults, as well as to examine potential regional heterogeneity across the globe. METHODS A national dynamic cohort of 42153 adults aged 16+ years were recruited from 25 provinces across Chinese mainland and followed up during 2010-2018. Annual warm-season (April-September) O3 and year-round co-pollutants (i.e., nitrogen dioxide [NO2] and fine particulate matter [PM2.5]) were simulated through validated spatial-temporal prediction models and were assigned to each enrollee in each calendar year. Cox proportional hazards models with time-varying exposures were employed to assess the O3-mortality association. Concentration-response (C-R) curves were fitted by natural cubic spline function to investigate the potential nonlinear association. Both single-pollutant model and co-pollutant models additionally adjusting for PM2.5 and/or NO2 were employed to examine the robustness of the estimated association. The random-effect meta-analysis was adopted to pool effect estimates from the current and prior population-based cohorts (n = 29), and pooled C-R curves were fitted through the meta-smoothing approach by regions. RESULTS The study population comprised of 42153 participants who contributed 258921.5 person-years at risk (median 6.4 years), of whom 2382 death events occurred during study period. Participants were exposed to an annual average of 51.4 ppb (range: 22.7-74.4 ppb) of warm-season O3 concentration. In the single-pollutant model, a significantly increased hazard ratio (HR) of 1.098 (95% confidence interval [CI]: 1.023-1.179) was associated with a 10-ppb rise in O3 exposure. Associations remained robust to additional adjustments of co-pollutants, with HRs of 1.099 (95% CI: 1.023-1.180) in bi-pollutant model (+PM2.5) and 1.093 (95% CI: 1.018-1.174) in tri-pollutant model (+PM2.5+NO2), respectively. A J-shaped C-R relationship was identified among Chinese general population, suggesting significant excess mortality risk at high ozone exposure only. The combined C-R curves from Asia (n = 4) and North America (n = 17) demonstrated an overall increased risk of all-cause mortality with O3 exposure, with pooled HRs of 1.124 (95% CI: 0.966-1.307) and 1.023 (95% CI: 1.007-1.039) per 10-ppb rise, respectively. Conversely, an opposite association was observed in Europe (n = 8, HR: 0.914 [95% CI: 0.860-0.972]), suggesting significant heterogeneity across regions (P < 0.01). CONCLUSIONS This study provided national evidence that high O3 exposure may curtail long-term survival of Chinese general population. Great between-region heterogeneity of pooled O3-mortality was identified across North America, Europe, and Asia.
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Affiliation(s)
- Minjin Peng
- Department of Outpatient, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430072, China
| | - Yang Yuan
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
| | - Zhiming Yang
- School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
| | - Kai Wang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yaqi Wang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Ziqing Tang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yunquan Zhang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
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13
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Tian T, Kwan MP, Vermeulen R, Helbich M. Geographic uncertainties in external exposome studies: A multi-scale approach to reduce exposure misclassification. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167637. [PMID: 37816406 DOI: 10.1016/j.scitotenv.2023.167637] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/15/2023] [Accepted: 10/05/2023] [Indexed: 10/12/2023]
Abstract
BACKGROUND Many studies on environment-health associations have emphasized that the selected buffer size (i.e., the scale of the geographic context when exposures are assigned at people's address location) may affect estimated effect sizes. However, there is limited methodological progress in addressing these buffer size-related uncertainties. AIM We aimed to 1) develop a statistical multi-scale approach to address buffer-related scale effects in cohort studies, and 2) investigate how environment-health associations differ between our multi-scale approach and ad hoc selected buffer sizes. METHODS We used lacunarity analyses to determine the largest meaningful buffer size for multiple high-resolution exposure surfaces (i.e., fine particulate matter [PM2.5], noise, and the normalized difference vegetation index [NDVI]). Exposures were linked to 7.7 million Dutch adults at their home addresses. We assigned exposure estimates based on buffers with fine-grained distance increments until the lacunarity-based upper limit was reached. Bayesian Cox model averaging addressed geographic uncertainties in the estimated exposure effect sizes within the exposure-specific upper buffer limits on mortality. Z-tests assessed statistical differences between averaged effect sizes and those obtained through pre-selected 100, 300, 1200, and 1500 m buffers. RESULTS The estimated lacunarity curves suggested exposure-specific upper buffer size limits; the largest was for NDVI (960 m), followed by noise (910 m) and PM2.5 (450 m). We recorded 845,229 deaths over eight years of follow-up. Our multi-scale approach indicated that higher values of NDVI were health-protectively associated with mortality risk (hazard ratio [HR]: 0.917, 95 % confidence interval [CI]: 0.886-0.948). Increased noise exposure was associated with an increased risk of mortality (HR: 1.003, 95 % CI: 1.002-1.003), while PM2.5 showed null associations (HR:0.998, 95 % CI: 0.997-1.000). Effect sizes of NDVI and noise differed significantly across the averaged and prespecified buffers (p < 0.05). CONCLUSIONS Geographic uncertainties in residential-based exposure assessments may obscure environment-health associations or risk spurious ones. Our multi-scale approach produced more consistent effect estimates and mitigated contextual uncertainties.
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Affiliation(s)
- Tian Tian
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands.
| | - Mei-Po Kwan
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands; Department of Geography and Resource Management and Institute of Space and Earth Information Science, Chinese University of Hong Kong, Hong Kong, China
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands
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14
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Xing Z, Yang T, Shi S, Meng X, Chai D, Liu W, Tong Y, Wang Y, Ma Y, Pan M, Cui J, Long H, Sun T, Chen R, Guo Y. Combined effect of ozone and household air pollution on COPD in people aged less than 50 years old. Thorax 2023; 79:35-42. [PMID: 37852778 PMCID: PMC10804043 DOI: 10.1136/thorax-2022-219691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 09/14/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVES Air pollution has been suggested as an important risk factor for chronic obstructive pulmonary disease (COPD); however, evidence of interactive effects on COPD between different factors was sparse, especially for young adults. We aimed to assess the combined effects of ambient ozone (O3) and household air pollution on COPD in young individuals. METHODS We conducted a population-based study of residents aged 15-50 years in the low-income and middle-income regions of western China. We used multivariable logistic regression models to examine the associations between long-term ozone exposure and COPD in young individuals. RESULTS A total of 6537 young cases were identified among the participants, with a COPD prevalence rate of 7.8 (95% CI 7.2% to 8.5%), and most young COPD individuals were asymptomatic. Exposure to household air pollution was associated with COPD in young patients after adjustment for other confounding factors (OR 1.82, 95% CI 1.41 to 2.37). We also found positive associations of COPD with O3 per IQR increase of 20 ppb (OR 1.92, 95% CI 1.59 to 2.32). The individual effects of household air pollution and O3 were 1.68 (95% CI 1.18 to 2.46) and 1.55 (95% CI 0.99 to 2.43), respectively, while their joint effect was 3.28 (95% CI 2.35 to 4.69) with the relative excess risk due to interaction of 1.05 (95% CI 0.33 to 1.78). CONCLUSIONS This study concludes that exposure to ambient O3 and household air pollution might be important risk factors for COPD among young adults, and simultaneous exposure to high levels of the two pollutants may intensify their individual effects.
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Affiliation(s)
- Zhenzhen Xing
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Peking University Fifth School of Clinical Medicine, Peking University, Beijing, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Center for Respiratory Medicine & National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Di Chai
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - WeiMing Liu
- Department of Intensive Care Medicine, Beijing Boai Hospital, Rehabilitation Research Center, Beijing, China
| | - Yaqi Tong
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuxia Wang
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yali Ma
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - MingMing Pan
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jia Cui
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Huanyu Long
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Tieying Sun
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - YanFei Guo
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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15
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Li Y, Ma L, Ni M, Bai Y, Li C. Drivers of ozone-related premature mortality in China: Implications for historical and future scenarios. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 345:118663. [PMID: 37487454 DOI: 10.1016/j.jenvman.2023.118663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/15/2023] [Accepted: 07/19/2023] [Indexed: 07/26/2023]
Abstract
Long-term exposure to ambient ozone (O3) poses a severe public health threat in China. However, the drivers of premature mortality caused by O3 pollution are still poorly constrained, despite being prerequisites for addressing the threat. Here, we demonstrate the contributions of historical and future changes in peak-season O3, population size, age structure, and baseline mortality to China's O3-related mortality using decomposition analysis. From 2013 to 2021, O3-related mortality decreased dramatically from 78.8 (40.8-124.6) to 68.7 (36.0-107.2) thousand, especially in densely populated areas with high pollution. Variations in peak-season O3, population size, age structure, and baseline mortality led to changes in O3-related mortality of +27.3 (14.8-41.3), +2.6 (1.4-4.1), +22.3 (11.5-35.2), and -40.3 (20.9-63.7) thousand, respectively. The influence of peak-season O3 on O3-related mortality shifted from positive during 2013-2019 (+8.4% per year) to negative during 2019-2021 (-8.8% per year), which highly regulated the interannual trend of mortality. From 2021 to 2035, O3-related mortality is expected to increase by 31% in the current context of peak-season O3 levels, primarily caused by increased aging. Even reducing peak-season O3 to the WHO interim target 1 (IT-1) would only reduce O3-related mortality by 3.9%, while a more rigorous standard (IT-2) would prevent 83.7% of mortality. These findings suggest that improving ambient O3 can lead to significant health benefits, but substantial mitigation strategies are merited given the future trend of population aging.
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Affiliation(s)
- Yong Li
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Lu Ma
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, 550025, China.
| | - Maofei Ni
- College of Eco-Environmental Science and Engineering, Guizhou Minzu University, Guiyang, 550025, China
| | - Yun Bai
- School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, China
| | - Chuan Li
- School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, China.
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16
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Liu CS, Wei Y, Danesh Yazdi M, Qiu X, Castro E, Zhu Q, Li L, Koutrakis P, Ekenga CC, Shi L, Schwartz JD. Long-term association of air pollution and incidence of lung cancer among older Americans: A national study in the Medicare cohort. ENVIRONMENT INTERNATIONAL 2023; 181:108266. [PMID: 37847981 PMCID: PMC10691920 DOI: 10.1016/j.envint.2023.108266] [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: 04/25/2023] [Revised: 10/03/2023] [Accepted: 10/12/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Despite strong evidence of the association of fine particulate matter (PM2.5) exposure with an increased risk of lung cancer mortality, few studies had investigated associations of multiple pollutants simultaneously, or with incidence, or using causal methods. Disparities were also understudied. OBJECTIVES We investigated long-term effects of PM2.5, nitrogen dioxide (NO2), warm-season ozone, and particle radioactivity (PR) exposures on lung cancer incidence in a nationwide cohort. METHODS We conducted a cohort study with Medicare beneficiaries (aged ≥ 65 years) continuously enrolled in the fee-for-service program in the contiguous US from 2001 to 2016. Air pollution exposure was averaged across three years and assigned based on ZIP code of residence. We fitted Cox proportional hazards models to estimate the hazard ratio (HR) for lung cancer incidence, adjusted for individual- and neighborhood-level confounders. As a sensitivity analysis, we evaluated the causal relationships using inverse probability weights. We further assessed effect modifications by individual- and neighborhood-level covariates. RESULTS We identified 166,860 lung cancer cases of 12,429,951 studied beneficiaries. In the multi-pollutant model, PM2.5 and NO2 exposures were statistically significantly associated with increased lung cancer incidence, while PR was marginally significantly associated. Specifically, the HR was 1.008 (95% confidence interval [CI]: 1.005, 1.011) per 1-μg/m3 increase in PM2.5, 1.013 (95% CI: 1.012, 1.013) per 1-ppb increase in NO2, and 1.005 (0.999, 1.012) per 1-mBq/m3 increase in PR. At low exposure levels, all pollutants were associated with increased lung cancer incidence. Men, older individuals, Blacks, and residents of low-income neighborhoods experienced larger effects of PM2.5 and PR. DISCUSSION Long-term PM2.5, NO2, and PR exposures were independently associated with increased lung cancer incidence among the national elderly population. Low-exposure analysis indicated that current national standards for PM2.5 and NO2 were not restrictive enough to protect public health, underscoring the need for more stringent air quality regulations.
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Affiliation(s)
- Cristina Su Liu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA.
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; Program in Public Health, Department of Family, Population and Preventive Medicine, Stony Brook University, 101 Nicolls Road Health Sciences Center, Stony Brook, NY 11794, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Qiao Zhu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE, Atlanta, GA 30322, USA
| | - Longxiang Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Christine C Ekenga
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE, Atlanta, GA 30322, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE, Atlanta, GA 30322, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
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17
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Andersen ZJ, Zhang J, Lim YH, So R, Jørgensen JT, Mortensen LH, Napolitano GM, Cole-Hunter T, Loft S, Bhatt S, Hoek G, Brunekreef B, Westendorp R, Ketzel M, Brandt J, Lange T, Kølsen-Fisher T. Long-Term Exposure to AIR Pollution and COVID-19 Mortality and Morbidity in DENmark: Who Is Most Susceptible? (AIRCODEN). Res Rep Health Eff Inst 2023:1-41. [PMID: 38286761 PMCID: PMC10983616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024] Open
Abstract
INTRODUCTION Early ecological studies have suggested a link between air pollution and Coronavirus Diseases 2019 (COVID-19); however, the evidence from individual-level prospective cohort studies is still sparse. Here, we have examined, in a general population, whether long-term exposure to air pollution is associated with the risk of contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and developing severe COVID-19, resulting in hospitalization or death and who is most susceptible. We also examined whether long-term exposure to air pollution is associated with hospitalization or death due to COVID-19 in those who have tested positive for SARS-CoV-2. METHODS We included all Danish residents 30 years or older who resided in Denmark on March 1, 2020. and followed them in the National COVID-19 Surveillance System until first positive test (incidence), COVID-19 hospitalization, or death until April 26, 2021. We estimated mean levels of nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter <2.5 μm (PM2.5), black carbon (BC), and ozone (O3) at cohort participants' residence in 2019 by the Danish Eulerian Hemispheric Model/Urban Background Model. We used Cox proportional hazard models to estimate the associations of air pollutants with COVID-19 incidence, hospitalization, and mortality adjusting for age, sex, and socioeconomic status (SES) at the individual and area levels. We examined effect modification by age, sex, SES (education, income, wealth, employment), and comorbidities with cardiovascular disease, respiratory disease, acute lower respiratory infections, diabetes, lung cancer, and dementia. We used logistic regression to examine association of air pollutants with COVID-19-related hospitalization or death among SARS-CoV-2 positive patients, adjusting for age, sex, individual- and area-level SES. RESULTS Of 3,721,810 people, 138,742 were infected, 11,270 hospitalized, and 2,557 died from COVID-19 during 14 months of follow-up. We detected strong positive associations with COVID-19 incidence, with hazard ratio (HR) and 95% confidence interval (CI) of 1.10 (CI: 1.05-1.14) per 0.5-μg/m3 increase in PM2.5 and 1.18 (CI: 1.14-1.23) per 3.6-μg/m3 increase in NO2. For COVID-19 hospitalizations and for COVID-19 deaths, corresponding HRs and 95% CIs were 1.09 (CI: 1.01-1.17) and 1.19 (CI: 1.12-1.27), respectively for PM2.5, and 1.23 (CI: 1.04-1.44) and 1.18 (CI: 1.03-1.34), respectively for NO2. We also found strong positive and statistically significant associations with BC and negative associations with O3. Associations were strongest in those aged 65 years old or older, participants with the lowest SES, and patients with chronic cardiovascular, respiratory, metabolic, lung cancer, and neurodegenerative disease. Among 138,742 individuals who have tested positive for SARS-Cov-2, we detected positive association with COVID-19 hospitalizations (N = 11,270) with odds ratio and 95% CI of 1.04 (CI: 1.01- 1.08) per 0.5-μg/m3 increase in PM2.5 and 1.06 (CI: 1.01-1.12) per 3.6-μg/m3 increase in NO2, but no association with PM with an aerodynamic diameter <10 μm (PM10), BC, or O3, and no association between any of the pollutants and COVID-19 mortality (N = 2,557). CONCLUSIONS This large nationwide study provides strong new evidence in support of association between long-term exposure to air pollution and COVID-19.
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Affiliation(s)
- Z J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - J Zhang
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - Y-H Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - R So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - J T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - L H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Denmark
- Statistics Denmark, Copenhagen, Denmark
| | - G M Napolitano
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - T Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - S Loft
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - S Bhatt
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Denmark
| | - G Hoek
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - B Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - Rgj Westendorp
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Denmark
| | - M Ketzel
- Department of Environmental Science, Aarhus University, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, United Kingdom
| | - J Brandt
- Climate, Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - T Lange
- Department of Public Health, University of Copenhagen, Denmark
| | - T Kølsen-Fisher
- Department of Clinical Research, Nordsjaellands Hospital, Hilleroed, Denmark
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Pan Z, Han X, Cao M, Guo J, Huang D, Sun W, Mi J, Liu Y, Xue T, Guan T. Short-term exposure to ozone and ECG abnormalities in China: A nationwide longitudinal study. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132290. [PMID: 37595468 DOI: 10.1016/j.jhazmat.2023.132290] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/25/2023] [Accepted: 08/12/2023] [Indexed: 08/20/2023]
Abstract
Ambient ozone (O3) pollution has been associated with an increased risk of cardiovascular diseases. However, few studies have addressed the effect of O3 exposure on electrocardiogram (ECG) abnormalities, a subclinical indicator of early damage to the cardiovascular system. This study aimed to examine the association between short-term exposure to O3 and ECG abnormalities. We included 102,027 visits of 47,290 participants over 40 years old who had a normal ECG at baseline and then visited again at least once from the China National Stroke Screening Survey (CNSSS). Short-term ozone exposure concentrations were measured as averages of maximum daily 8-h O3 concentrations over the two weeks prior to ECG measurements. The generalized estimation equations models were used to evaluate the association between O3 exposure and ECG abnormalities. For every 10 µg/m3 increment in short-term O3 concentration, the odds ratio of any ECG abnormality was 1.055 (95% confidence interval [CI] 1.045-1.064). For ECG-diagnosed cardiac arrhythmia, the odds ratio was 1.062 (95% CI 1.052-1.072). A nonlinear analysis showed a sublinear relationship between O3 exposure and risk for ECG abnormalities. The association between O3 exposure and ECG abnormalities varied by subpopulation. Our study provided new epidemiological evidence on the association between short-term O3 exposure and ECG abnormalities. There is an urgent need to control ambient O3 pollution to prevent cardiovascular events.
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Affiliation(s)
- Zhaoyang Pan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Xueyan Han
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Man Cao
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jian Guo
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Dengmin Huang
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Wei Sun
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jiarun Mi
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Tao Xue
- Institute of Reproductive and Child Health/ National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Advanced Institute of Information Technology, Peking university, Hangzhou, Zhejiang, China.
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
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19
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Zhang Q, Yin Z, Lu X, Gong J, Lei Y, Cai B, Cai C, Chai Q, Chen H, Dai H, Dong Z, Geng G, Guan D, Hu J, Huang C, Kang J, Li T, Li W, Lin Y, Liu J, Liu X, Liu Z, Ma J, Shen G, Tong D, Wang X, Wang X, Wang Z, Xie Y, Xu H, Xue T, Zhang B, Zhang D, Zhang S, Zhang S, Zhang X, Zheng B, Zheng Y, Zhu T, Wang J, He K. Synergetic roadmap of carbon neutrality and clean air for China. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 2023; 16:100280. [PMID: 37273886 PMCID: PMC10236195 DOI: 10.1016/j.ese.2023.100280] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/05/2023] [Accepted: 04/06/2023] [Indexed: 06/06/2023]
Abstract
It is well recognized that carbon dioxide and air pollutants share similar emission sources so that synergetic policies on climate change mitigation and air pollution control can lead to remarkable co-benefits on greenhouse gas reduction, air quality improvement, and improved health. In the context of carbon peak, carbon neutrality, and clean air policies, this perspective tracks and analyzes the process of the synergetic governance of air pollution and climate change in China by developing and monitoring 18 indicators. The 18 indicators cover the following five aspects: air pollution and associated weather-climate conditions, progress in structural transition, sources, inks, and mitigation pathway of atmospheric composition, health impacts and benefits of coordinated control, and synergetic governance system and practices. By tracking the progress in each indicator, this perspective presents the major accomplishment of coordinated control, identifies the emerging challenges toward the synergetic governance, and provides policy recommendations for designing a synergetic roadmap of Carbon Neutrality and Clean Air for China.
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Affiliation(s)
- Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Zhicong Yin
- Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Xi Lu
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
- Institute for Carbon Neutrality, Tsinghua University, Beijing, 100084, China
| | - Jicheng Gong
- State Key Joint Laboratory for Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing, 100871, China
| | - Yu Lei
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing, 100012, China
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100012, China
| | - Bofeng Cai
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100012, China
| | - Cilan Cai
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Qimin Chai
- National Center for Climate Change, Strategy and International Cooperation, Beijing, 100035, China
| | - Huopo Chen
- Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Hancheng Dai
- College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Zhanfeng Dong
- Institute of Environmental Policy Management, Chinese Academy of Environmental Planning, Beijing, 100012, China
| | - Guannan Geng
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Dabo Guan
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, 100084, China
| | - Jianing Kang
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Wei Li
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Yongsheng Lin
- School of Economics and Resource Management, Beijing Normal University, Beijing, 100875, China
| | - Jun Liu
- Department of Environmental Engineering, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Xin Liu
- Energy Foundation China, Beijing, 100004, China
| | - Zhu Liu
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Jinghui Ma
- Shanghai Typhoon Institute, Shanghai Meteorological Service, Shanghai, 200030, China
| | - Guofeng Shen
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Dan Tong
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Xuhui Wang
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Xuying Wang
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing, 100012, China
| | - Zhili Wang
- State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, 100191, China
| | - Honglei Xu
- Laboratory of Transport Pollution Control and Monitoring Technology, Transport Planning and Research Institute, Ministry of Transport of the People's Republic of China, Beijing, 100028, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100080, China
| | - Bing Zhang
- State Key Laboratory of Pollution Control & Resource Reuse School of Environment, Nanjing University, Nanjing, 210008, China
| | - Da Zhang
- Institute of Energy, Environment, and Economy, Tsinghua University, Beijing, 100084, China
| | - Shaohui Zhang
- School of Economics and Management, Beihang University, Beijing, 100191, China
| | - Shaojun Zhang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Xian Zhang
- The Administrative Centre for China's Agenda 21 (ACCA21), Ministry of Science and Technology (MOST), Beijing, 100038, China
| | - Bo Zheng
- Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Yixuan Zheng
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing, 100012, China
| | - Tong Zhu
- State Key Joint Laboratory for Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing, 100871, China
| | - Jinnan Wang
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing, 100012, China
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100012, China
- Institute of Environmental Policy Management, Chinese Academy of Environmental Planning, Beijing, 100012, China
| | - Kebin He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
- Institute for Carbon Neutrality, Tsinghua University, Beijing, 100084, China
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20
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Hou X, Mao Z, Song X, Li R, Liao W, Kang N, Zhang C, Liu X, Chen R, Huo W, Wang C, Hou J. Synergistic association of long-term ozone exposure and solid fuel use with biomarkers of advanced fibrosis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:85318-85329. [PMID: 37382821 DOI: 10.1007/s11356-023-28337-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 06/13/2023] [Indexed: 06/30/2023]
Abstract
This study aims to explore the association of combined exposure to cooking fuel type and ambient ozone (O3) levels with hepatic fibrosis indices among rural adults. A total of 21,010 participants were derived from the Henan Rural Cohort. Information regarding cooking fuel type was collected through a questionnaire, and the concentration of ground-level O3 for each subject was obtained from the Tracking Air Pollution in China (TAP) dataset. A generalized linear model was used to examine the independent association of cooking fuel type or O3 exposure with hepatic fibrosis indices (FIB-4, APRI, and AST/ALT), and their possible interactions with advanced fibrosis were conducted. Compared to clean fuel users, solid fuel users had increased the risk of advanced fibrosis, the adjusted odds ratio (OR) of its assessment by FIB-4 1.240 (1.151, 1.336), by APRI 1.298 (1.185, 1.422), and by AST/ALT 1.135 (1.049, 1.227), respectively. Compared to low O3 exposure, the adjusted ORs of advanced fibrosis assessed by FIB-4, APRI, and AST/ALT in women with high O3 exposure were correspondingly 1.219 (1.138, 1.305), 1.110 (1.017, 1.212), and 0.883 (0.822, 0.949). The adjusted ORs of advanced fibrosis assessed by FIB-4, APRI, and AST/ALT for solid fuel users with high O3 exposure relative to clean fuel users with low O3 exposure in women were 1.557 (1.381, 1.755), 1.427 (1.237, 1.644), and 0.979 (0.863, 1.108), respectively. Significant additive effect of O3 exposure and solid fuel use on FIB-4-defined advanced fibrosis was observed in women, which was quantified by RERI (0.265, 95%CI: 0.052, 0.477), AP (0.170 95%CI: 0.045, 0.295), and SI (1.906, 95%CI: 1.058, 3.432). Solid fuel users with high O3 exposure were significantly associated with elevated hepatic fibrosis indices among rural women, suggesting that poor air quality may induce hepatocellular injury, and women might be more vulnerable to air pollution. The findings indicate that using cleaner fuels in cooking is an effective measure to maintain sustainable development of the environment and gain beneficial effect on human health. Clinical trial registration: The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (registration number: ChiCTR-OOC-15006699). Date of registration: 06 July 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375.
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Affiliation(s)
- Xiaoyu Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiaoqin Song
- Physical Examination Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China.
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21
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Pei Z, Wu M, Zhu W, Pang Y, Niu Y, Zhang R, Zhang H. Associations of long-term exposure to air pollution with prevalence of pulmonary nodules: A cross-sectional study in Shijiazhuang, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115311. [PMID: 37531926 DOI: 10.1016/j.ecoenv.2023.115311] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/27/2023] [Accepted: 07/28/2023] [Indexed: 08/04/2023]
Abstract
A complete understanding of the associations of ambient air pollution with prevalence of pulmonary nodule is lacking. We aimed to investigate the associations of ambient air pollutants with prevalence of pulmonary nodule. A total of 9991 health examination participants was enrolled and 3166 was elected in the final in Shijiazhuang between April 1st, 2018, and December 31st, 2018. 107 participants were diagnosed in pulmonary nodule while 3059 participants were diagnosed in non-pulmonary (named control). The individual exposure of participants was evaluation by Empirical Bayesian Kriging model according to their residential or work addresses. The pulmonary nodules were found and diagnosed by health examination through chest x-ray detection. Our results suggested that there were positive associations between prevalence of pulmonary nodules and PM2.5 (OR = 1.06, 95% CI: 1.02, 1.11) as well as O3 (OR = 1.49, 95% CI: 1.35, 1.66) levels. The platelet count (PLT) acted as the mediator of pulmonary nodules related with the PM2.5 exposure, while the neutrophil-to-lymphocyte ratio (NLR) as well as platelet-to-lymphocyte ratio (PLR) were the mediators of pulmonary nodules related with the O3 exposure. This study suggests that long-term exposure to PM2.5 and O3 may significantly associated with prevalence of pulmonary nodules, and the above associations are mediated by PLT, NLR and PLR.
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Affiliation(s)
- Zijie Pei
- Department of Thoracic Surgery, the 2nd Hospital of Hebei Medical University, Shijiazhuang 050017, PR China
| | - Mengqi Wu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Wenyuan Zhu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Yaxian Pang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Yujie Niu
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, PR China.
| | - Rong Zhang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China.
| | - Helin Zhang
- Department of Thoracic Surgery, the 2nd Hospital of Hebei Medical University, Shijiazhuang 050017, PR China.
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Zhang Y, Yin Z, Li S, Zhang JJ, Sun HZ, Liu K, Shirai K, Hu K, Qiu C, Liu X, Li Y, Zeng Y, Yao Y. Ambient PM 2.5, ozone and mortality in Chinese older adults: A nationwide cohort analysis (2005-2018). JOURNAL OF HAZARDOUS MATERIALS 2023; 454:131539. [PMID: 37149946 PMCID: PMC11758737 DOI: 10.1016/j.jhazmat.2023.131539] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/17/2023] [Accepted: 04/27/2023] [Indexed: 05/09/2023]
Abstract
BACKGROUND Cohort evidence linking long-term survival with exposure to multiple air pollutants (e.g., fine particulate matter [PM2.5] and ozone) was extensively sparse in low- and middle-income countries, especially among older adults. This study aimed to investigate potential associations of long-term exposures to PM2.5 and ozone with all-cause mortality in Chinese older adults. METHODS A dynamic nationwide prospective cohort comprising 20,352 adults aged ≥65 years were enrolled from the Chinese Longitudinal Healthy Longevity Study and followed up through 2005-2018. Participants' annual exposures to warm-season ozone and year-round PM2.5 were assigned using satellite-derived spatiotemporal estimates. A directed acyclic graph (DAG) was developed to identify confounding variables. Associations of annual mean exposures to PM2.5 and ozone with mortality were evaluated using single- and two-pollutant Cox proportional hazards models, adjusting for time-dependent individual risk factors and ambient temperature. RESULTS During 100 thousand person-years of follow-up (median: 3.6 years), a total of 14,313 death events occurred. The participants were averagely aged 87.1 years at baseline and exposed to a wide range of annual average concentrations of warm-season maximum 8-hour ozone (mean, 54.4 ppb; range, 23.3-81.6 ppb) and year-round PM2.5 (mean, 65.5 μg/m3; range, 10.1-162.9 μg/m3). Approximately linear concentration-response relationship was identified for ozone, whereas significant increases in PM2.5-associated mortality risks were observed only when concentrations were above 60 μg/m3. Rises of 10 ppb in ozone and 10 µg/m3 in PM2.5 above 60 µg/m3 were associated with increases in all-cause mortality of 13.2% (95% confidence interval [CI]: 10.2-16.2%) and 6.2% (95% CI: 4.6-7.7%) in DAG-based single-pollutant model, and of 9.7% (95% CI: 6.6-13.0%) and 5.3% (95% CI: 3.7-6.9%) in DAG-based two-pollutant model, respectively. We detected significant effect modification by temperature in associations of mortality with ozone (P <0.001 for interaction), suggesting greater ozone-related risks among participants in warmer locations. CONCLUSIONS This study provided longitudinal evidence that long-term exposure to ambient PM2.5 and ozone significantly and independently contributed to elevated risks of all-cause mortality among older adults in China.
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Affiliation(s)
- Yunquan Zhang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhouxin Yin
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shaojie Li
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Haitong Zhe Sun
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK; Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, UK
| | - Keyang Liu
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita Shi, Osaka, Japan
| | - Kokoro Shirai
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita Shi, Osaka, Japan
| | - Kejia Hu
- Institute of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Chengxuan Qiu
- Aging Research Center, Karolinska Institutet, Widerströmska Huset, SE-171 65 Solna, Sweden
| | - Xiaoyun Liu
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Yachen Li
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China; Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, US.
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China; Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China.
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Jia Y, Lin Z, He Z, Li C, Zhang Y, Wang J, Liu F, Li J, Huang K, Cao J, Gong X, Lu X, Chen S. Effect of Air Pollution on Heart Failure: Systematic Review and Meta-Analysis. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:76001. [PMID: 37399145 PMCID: PMC10317211 DOI: 10.1289/ehp11506] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 02/15/2023] [Accepted: 06/06/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Heart failure (HF) poses a significant global disease burden. The current evidence on the impact of air pollution on HF remains inconsistent. OBJECTIVES We aimed to conduct a systematic review of the literature and meta-analysis to provide a more comprehensive and multiperspective assessment of the associations between short- and long-term air pollution exposure and HF from epidemiological evidences. METHODS Three databases were searched up to 31 August 2022 for studies investigating the association between air pollutants (PM 2.5 , PM 10 , NO 2 , SO 2 , CO, O 3 ) and HF hospitalization, incidence, or mortality. A random effects model was used to derive the risk estimations. Subgroup analysis was conducted by geographical location, age of participants, outcome, study design, covered area, the methods of exposure assessment, and the length of exposure window. Sensitivity analysis and adjustment for publication bias were performed to test the robustness of the results. RESULTS Of 100 studies covering 20 countries worldwide, 81 were for short-term and 19 were for long-term exposure. Almost all air pollutants were adversely associated with the risk of HF in both short- and long-term exposure studies. For short-term exposures, we found the risk of HF increased by 1.8% [relative risk ( RR ) = 1.018 , 95% confidence interval (CI): 1.011, 1.025] and 1.6% (RR = 1.016 , 95% CI: 1.011, 1.020) per 10 - μ g / m 3 increment of PM 2.5 and PM 10 , respectively. HF was also significantly associated with NO 2 , SO 2 , and CO, but not O 3 . Positive associations were stronger when exposure was considered over the previous 2 d (lag 0-1) rather than on the day of exposure only (lag 0). For long-term exposures, there were significant associations between several air pollutants and HF with RR (95% CI) of 1.748 (1.112, 2.747) per 10 - μ g / m 3 increment in PM 2.5 , 1.212 (1.010, 1.454) per 10 - μ g / m 3 increment in PM 10 , and 1.204 (1.069, 1.356) per 10 -ppb increment in NO 2 , respectively. The adverse associations of most pollutants with HF were greater in low- and middle-income countries than in high-income countries. Sensitivity analysis demonstrated the robustness of our results. DISCUSSION Available evidence highlighted adverse associations between air pollution and HF regardless of short- and long-term exposure. Air pollution is still a prevalent public health issue globally and sustained policies and actions are called for to reduce the burden of HF. https://doi.org/10.1289/EHP11506.
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Affiliation(s)
- Yanhui Jia
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhennan Lin
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhi He
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Chenyang Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Youjing Zhang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jingyu Wang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Xinyuan Gong
- Department of Science and Education, Tianjin First Central Hospital, Tianjin, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
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Zhang D, Chen W, Cheng C, Huang H, Li X, Qin P, Chen C, Luo X, Zhang M, Li J, Sun X, Liu Y, Hu D. Air pollution exposure and heart failure: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 872:162191. [PMID: 36781139 DOI: 10.1016/j.scitotenv.2023.162191] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/03/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
While the literature strongly supports a positive association between particulate matter with diameter ≤ 2.5 μm (PM2.5) exposure and heart failure (HF), there is uncertainty regarding the other pollutants and the dose and duration of exposure that triggers an adverse response. To comprehensively assess and quantify the association of air pollution exposure with HF incidence and mortality, we performed separate meta-analyses according to pollutant types [PM2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3)], and exposure duration (short- and long-term). We systematically searched PubMed, EMBASE, and Web of Science for relevant articles with publication dates up to July 12, 2022, identifying 35 eligible studies. Random-effects models were used to summarize the pooled odds ratios (ORs) and 95 % confidence intervals (95 % CIs). For long-term exposure, the growing risk of HF was significantly associated with each 10 μg/m3 increase in PM2.5 (OR = 1.196, 95 % CI: 1.079-1.326; I2 = 76.8 %), PM10 (1.190, 1.045-1.356; I2 = 76.2 %), and NO2 (1.072, 1.028-1.118; I2 = 78.3 %). For short-term exposure, PM2.5, PM10, NO2, and O3 (per 10 μg/m3 increment) increased the risk of HF, with estimated ORs of 1.019 (1.008-1.030; I2 = 39.9 %), 1.012 (1.007-1.017; I2 = 28.3 %), 1.016 (1.005-1.026; I2 = 53.7 %), and 1.006 (1.002-1.010; I2 = 0.0 %), respectively. No significant effects of SO2 and CO exposure on the risk of HF were observed. In summary, our study powerfully highlights the deleterious impact of PM2.5, PM10, and NO2 exposure (either short- or long-term) on HF risk. Serious efforts should be made to improve air quality through legislation and interdisciplinary cooperation.
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Affiliation(s)
- Dongdong Zhang
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Weiling Chen
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Cheng Cheng
- Department of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Hao Huang
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Xi Li
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Pei Qin
- Department of Medical Record Management, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Chuanqi Chen
- Department of Endocrinology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Xinping Luo
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
| | - Jing Li
- Department of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Xizhuo Sun
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China
| | - Yu Liu
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China
| | - Dongsheng Hu
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China.
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Zhao S, Li R, Wang S, Liu Y, Lu W, Zhao Y. Emission of volatile organic compounds from landfill working surfaces: Formation potential of ozone and secondary organic aerosols. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 886:163954. [PMID: 37160182 DOI: 10.1016/j.scitotenv.2023.163954] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/12/2023] [Accepted: 05/01/2023] [Indexed: 05/11/2023]
Abstract
The working surface of landfills is an important source of volatile organic compounds (VOCs), which have received increasing attention because of their role in potentially forming ozone and secondary organic aerosols (SOAs). In this study, 99 monitoring datasets on VOC emissions from a landfill working surface were obtained in 9 months and used to evaluate their ozone formation potential (OFP) and SOA formation potential (SOAFP) from a statistical perspective and compared using various methods. December was found to have the highest total OFP and SOAFP caused by VOC emissions from the landfill working surface. Both the propylene equivalent concentration (PEC) and maximum incremental reactivity (MIR) methods indicated that oxygenated compounds, especially ethanol, contributed the most to the OFP, accounting for 16.1 %-95.4 % and 44.9 %-98.6 % of the total OFP during the entire observation period, respectively. The fraction aerosol coefficient (FAC) method highlighted the effect of aromatic hydrocarbons which contributed to over 97 % of the total SOAFP. In contrast, the SOA potential (SOAP) method indicated that both aromatic hydrocarbons and oxygenated compounds play important roles, contributing 26.6 %-93.9 % and 21.6 %-73.4 % of the total SOAFP, respectively. Based on their mechanisms and comprehensiveness, PEC and SOAP methods are considered more appropriate for evaluating the OFP and SOAFP of VOCs released from landfill working surfaces. The annual total OFP and SOAFP of VOCs from landfill working surfaces of China in 2020 were thus estimated as 1.5 × 104 t and 135 t, respectively, with high variations among different regions along with the population, waste management system, and the amount of landfilled waste. This study provides a comprehensive understanding of the potential impacts and evaluation methods of local waste landfills in the atmospheric environment from a statistical perspective.
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Affiliation(s)
- Silan Zhao
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Rong Li
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Shengwei Wang
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Yanqing Liu
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Wenjing Lu
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Yan Zhao
- School of Environment, Beijing Normal University, Beijing 100875, China.
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26
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Assessment of Low-Level Air Pollution and Cardiovascular Incidence in Gdansk, Poland: Time-Series Cross-Sectional Analysis. J Clin Med 2023; 12:jcm12062206. [PMID: 36983207 PMCID: PMC10054494 DOI: 10.3390/jcm12062206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/03/2023] [Accepted: 03/04/2023] [Indexed: 03/18/2023] Open
Abstract
(1) Background: More than 1.8 million people in the European Union die every year as a result of CVD, accounting for 36% of all deaths with a large proportion being premature (before the age of 65). There are more than 300 different risk factors of CVD, known and air pollution is one of them. The aim of this study was to investigate whether daily cardiovascular mortality was associated with air pollutants and meteorological conditions in an urban environment with a low level of air pollution. (2) Methods: Data on daily incidence of strokes and myocardial infarctions in the city of Gdansk were obtained from the National Health Fund (NHF) and covered the period from 1 January 2014 to 31 December 2018. Data on the level of pollution, i.e., SO2, NO, NO2, NOx, CO, PM10, PM2.5, CO2, O3 and meteorological conditions came from the foundation: Agency of Regional Air Quality Monitoring in the Gdańsk metropolitan area (ARMAG). Using these data, we calculated mean values with standard deviation (SD) and derived the minimum and maximum values and interquartile range (IQR). Time series regression with Poisson distribution was used in statistical analysis. (4) Results: Stroke incidence is significantly affected by an increase in concentrations of NO, NO2 and NOx with RRs equal to 1.019 (95%CI: 1.001–1.036), 1.036 (95%CI: 1.008–1.064) and 1.017 (95%CI: 1.000–1.034) for every increase in IQR by 14.12, 14.62 and 22.62 μg/m3, respectively. Similarly, myocardial infarction incidence is significantly affected by an increase in concentrations of NO, NO2 and NOx with RRs equal to 1.030 (95%CI: 1.011–1.048), 1.053 (95%CI: 1.024–1.082) and 1.027 (95%CI: 1.010–1.045) for every increase in IQR by 14.12, 14.62 and 22.62 μg/m3, respectively. Both PM10 and PM2.5 were positively associated with myocardial infarction incidence. (5) Conclusions: In this time-series cross-sectional study, we found strong evidence that support the hypothesis that transient elevations in ambient PM2.5, PM10, NO2, SO2 and CO are associated with higher relative risk of ischemic stroke and myocardial infarction incidents.
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27
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Lord BD, Harris AR, Ambs S. The impact of social and environmental factors on cancer biology in Black Americans. Cancer Causes Control 2023; 34:191-203. [PMID: 36562901 DOI: 10.1007/s10552-022-01664-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
Low socioeconomic status (SES) is associated with early onset of chronic diseases and reduced life expectancy. The involvement of neighborhood-level factors in defining cancer risk and outcomes for marginalized communities has been an active area of research for decades. Yet, the biological processes that underlie the impact of SES on chronic health conditions, such as cancer, remain poorly understood. To date, limited studies have shown that chronic life stress is more prevalent in low SES communities and can affect important molecular processes implicated in tumor biology such as DNA methylation, inflammation, and immune response. Further efforts to elucidate how neighborhood-level factors function physiologically to worsen cancer outcomes for disadvantaged communities are underway. This review provides an overview of the current literature on how socioenvironmental factors within neighborhoods contribute to more aggressive tumor biology, specifically in Black U.S. women and men, including the impact of environmental pollutants, neighborhood deprivation, social isolation, structural racism, and discrimination. We also summarize commonly used methods to measure deprivation, discrimination, and structural racism at the neighborhood-level in cancer health disparities research. Finally, we offer recommendations to adopt a multi-faceted intersectional approach to reduce cancer health disparities and develop effective interventions to promote health equity.
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Affiliation(s)
- Brittany D Lord
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bldg. 37/Room 3050, Bethesda, MD, 20892-4258, USA.
| | - Alexandra R Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bldg. 37/Room 3050, Bethesda, MD, 20892-4258, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bldg. 37/Room 3050, Bethesda, MD, 20892-4258, USA
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28
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Lin G, Wang Z, Zhang X, Stein A, Maji KJ, Cheng C, Osei F, Yang FF. Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China. Front Public Health 2023; 11:1060714. [PMID: 36794065 PMCID: PMC9922759 DOI: 10.3389/fpubh.2023.1060714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 01/03/2023] [Indexed: 02/03/2023] Open
Abstract
Background Epidemiological studies have widely proven the impact of ozone (O3) on respiratory mortality, while only a few studies compared the association between different O3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case-crossover design. Sensitivities of different age and gender groups were analyzed for the whole year, the warm and the cold periods. We compared the results from the single-day lag model and the moving average lag model. Results The results showed that the maximum daily 8 h average ozone concentration (MDA8 O3) had a significant effect on the daily respiratory hospitalization. This effect was stronger than for the maximum daily 1 h average ozone concentration (MDA1 O3). The results further showed that O3 was positively associated with daily respiratory hospitalization in the warm season, while there was a significantly negative association in the cold season. Specifically, in the warm season, O3 has the most significant effect at lag 4 day, with the odds ratio (OR) equal to 1.0096 [95% confidence intervals (CI): 1.0032, 1.0161]. Moreover, at the lag 5 day, the effect of O3 on the 15-60 age group was less than that on people older than 60 years, with the OR value of 1.0135 (95% CI: 1.0041, 1.0231) for the 60+ age group; women were more sensitive than men to O3 exposure, with an OR value equal to 1.0094 (95% CI: 0.9992, 1.0196) for the female group. Conclusion These results show that different O3 indicators measure different impacts on respiratory hospitalization admission. Their comparative analysis provided a more comprehensive insight into exploring associations between O3 exposure and respiratory health.
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Affiliation(s)
- Geng Lin
- School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
| | - Zhuoqing Wang
- Department of Scientific Research and Discipline Development, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China,*Correspondence: Zhuoqing Wang ✉
| | - Xiangxue Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China,Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands,Xiangxue Zhang ✉
| | - Alfred Stein
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
| | - Kamal Jyoti Maji
- School of Civil and Environment Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Changxiu Cheng
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China,National Tibetan Plateau Data Center, Beijing, China
| | - Frank Osei
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
| | - Fiona Fan Yang
- School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
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29
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Zhang X, Maji KJ, Wang Z, Yang FF, Wang G, Cheng C. Associations between Different Ozone Indicators and Cardiovascular Hospital Admission: A Time-Stratified Case-Crossover Analysis in Guangzhou, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2056. [PMID: 36767423 PMCID: PMC9916254 DOI: 10.3390/ijerph20032056] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 01/13/2023] [Indexed: 05/17/2023]
Abstract
Epidemiological studies reported that ozone (O3) is associated with cardiovascular diseases. However, only few of these studies examined the impact of multiple O3 indicators on cardiovascular hospital admissions. This study aimed to explore and compare the impacts of different O3 indicators on cardiovascular hospital admissions in Guangzhou, China. Based upon the data on daily cardiovascular hospital admissions, air pollution, and meteorological factors in Guangzhou from 2014 to 2018, a time-stratified case-crossover design model was used to analyze the associations between different O3 indicators and cardiovascular hospital admissions. Moreover, the sensitivities of different age and gender groups were analyzed for the whole year and different seasons (i.e., warm and cold). During the warm season, for the single-pollutant model, the odds ratio (OR) value of cardiovascular hospital admissions was 1.0067 (95% confidence interval (CI): 1.0037, 1.0098) for every IQR increase in MDA8 O3 at a lag of five days. The effect of O3 on people over 60 year was stronger than that on the 15-60 years age group. Females were more sensitive than males to O3 exposure. These results provided valuable references for further scientific research and environmental improvement in Guangzhou. Given that short-term O3 exposure poses a threat to human health, the government should therefore pay attention to prevention and control policies to reduce and eliminate O3 pollution and protect human health.
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Affiliation(s)
- Xiangxue Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The Netherlands
| | - Kamal Jyoti Maji
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Zhuoqing Wang
- Department of Scientific Research & Discipline Development, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Fiona Fan Yang
- School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
| | - Guobin Wang
- School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
| | - Changxiu Cheng
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
- National Tibetan Plateau Data Center, Beijing 100101, China
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Zou K, Sun P, Huang H, Zhuo H, Qie R, Xie Y, Luo J, Li N, Li J, He J, Aschebrook-Kilfoy B, Zhang Y. Etiology of lung cancer: Evidence from epidemiologic studies. JOURNAL OF THE NATIONAL CANCER CENTER 2022; 2:216-225. [PMID: 39036545 PMCID: PMC11256564 DOI: 10.1016/j.jncc.2022.09.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 12/05/2022] Open
Abstract
Lung cancer is one of the leading causes of cancer incidence and mortality worldwide. While smoking, radon, air pollution, as well as occupational exposure to asbestos, diesel fumes, arsenic, beryllium, cadmium, chromium, nickel, and silica are well-established risk factors, many lung cancer cases cannot be explained by these known risk factors. Over the last two decades the incidence of adenocarcinoma has risen, and it now surpasses squamous cell carcinoma as the most common histologic subtype. This increase warrants new efforts to identify additional risk factors for specific lung cancer subtypes as well as a comprehensive review of current evidence from epidemiologic studies to inform future studies. Given the myriad exposures individuals experience in real-world settings, it is essential to investigate mixture effects from complex exposures and gene-environment interactions in relation to lung cancer and its subtypes.
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Affiliation(s)
- Kaiyong Zou
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peiyuan Sun
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huang Huang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haoran Zhuo
- Yale School of Public Health, New Haven, United States of America
| | - Ranran Qie
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuting Xie
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiajun Luo
- Department of Public Health Sciences, the University of Chicago, Chicago, United States of America
| | - Ni Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiang Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Yawei Zhang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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31
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Khraishah H, Alahmad B, Ostergard RL, AlAshqar A, Albaghdadi M, Vellanki N, Chowdhury MM, Al-Kindi SG, Zanobetti A, Gasparrini A, Rajagopalan S. Climate change and cardiovascular disease: implications for global health. Nat Rev Cardiol 2022; 19:798-812. [PMID: 35672485 DOI: 10.1038/s41569-022-00720-x] [Citation(s) in RCA: 115] [Impact Index Per Article: 38.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/04/2022] [Indexed: 12/15/2022]
Abstract
Climate change is the greatest existential challenge to planetary and human health and is dictated by a shift in the Earth's weather and air conditions owing to anthropogenic activity. Climate change has resulted not only in extreme temperatures, but also in an increase in the frequency of droughts, wildfires, dust storms, coastal flooding, storm surges and hurricanes, as well as multiple compound and cascading events. The interactions between climate change and health outcomes are diverse and complex and include several exposure pathways that might promote the development of non-communicable diseases such as cardiovascular disease. A collaborative approach is needed to solve this climate crisis, whereby medical professionals, scientific researchers, public health officials and policymakers should work together to mitigate and limit the consequences of global warming. In this Review, we aim to provide an overview of the consequences of climate change on cardiovascular health, which result from direct exposure pathways, such as shifts in ambient temperature, air pollution, forest fires, desert (dust and sand) storms and extreme weather events. We also describe the populations that are most susceptible to the health effects caused by climate change and propose potential mitigation strategies, with an emphasis on collaboration at the scientific, governmental and policy levels.
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Affiliation(s)
- Haitham Khraishah
- Division of Cardiovascular Medicine, University of Maryland School of Medicine, Baltimore, MD, USA. .,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Barrak Alahmad
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Environmental & Occupational Health Department, Faculty of Public Health, Kuwait University, Hawalli, Kuwait
| | | | - Abdelrahman AlAshqar
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, USA
| | - Mazen Albaghdadi
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Nirupama Vellanki
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Mohammed M Chowdhury
- Department of Vascular and Endovascular Surgery, Department of Surgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Sadeer G Al-Kindi
- University Hospitals, Harrington Heart & Vascular Institute, Department of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Antonio Gasparrini
- Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK.,Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK.,Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Sanjay Rajagopalan
- University Hospitals, Harrington Heart & Vascular Institute, Department of Medicine, Case Western Reserve University, Cleveland, OH, USA
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Byun G, Choi Y, Kim S, Lee JT. Long-term exposure to ambient ozone and mortality in a population-based cohort of South Korea: Considering for an alternative exposure time metric. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 314:120300. [PMID: 36181930 DOI: 10.1016/j.envpol.2022.120300] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/20/2022] [Accepted: 09/25/2022] [Indexed: 06/16/2023]
Abstract
Studies on the health effects of long-term ozone exposure remain limited with mixed results. One potential source of this inconsistency is the difference in exposure time metrics. This study aimed to investigate the association between long-term exposure to ambient ozone and mortality in South Korea, using different exposure metrics. We also examined whether heterogeneity between previous studies was due to the different exposure metrics. The study population comprised 179,806 participants from the National Health Insurance Service-National Sample Cohort (2002-2015) residing in seven major cities in South Korea. Several ozone exposure metrics (year-round 24-h, year-round 8-h, warm-season 24-h, and warm-season 8-h) were calculated. Time-varying Cox proportional hazards models were used to estimate the association between ozone and all-cause and cause-specific mortalities. Random-effect meta-analysis and meta-regression analysis were performed to pool the effect estimates of previous studies and examine whether the exposure metric can explain the between-study heterogeneity. The hazard ratios (HRs) per 10 ppb increment in year-round 24-h ozone for all-cause (HR, 1.18; 95% CI, 1.07-1.29) and circulatory (HR, 1.52; 95% CI, 1.25-1.84) mortality were higher than those of the other metrics. Year-round 8-h ozone exhibited the largest association with respiratory mortality (HR, 1.43; 95% CI, 1.04-1.96). A meta-analysis of 29 previous studies and the present study showed the largest HR for all-cause mortality from studies using year-round 8-h exposure (HR, 1.014; 95% CI, 0.994-1.033). The exposure metric was significantly associated with effect estimates in the multivariable meta-regression model. In conclusion, in the population-based cohort in South Korea, we found positive associations between several long-term ozone exposure metrics and mortality. The different ozone exposure metrics exhibited heterogeneous effect estimates. A year-round 24-h average ozone metric also could be considered an alternative long-term standard for ozone.
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Affiliation(s)
- Garam Byun
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea
| | - Yongsoo Choi
- Department of Public Health Science, Graduate School, Korea University, Seoul, Republic of Korea
| | - Sera Kim
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea
| | - Jong-Tae Lee
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea; School of Health Policy and Management, College of Health Science, Korea University, Seoul, Republic of Korea.
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Guo J, Xie X, Wu J, Yang L, Ruan Q, Xu X, Wei D, Wen Y, Wang T, Hu Y, Lin Y, Chen M, Wu J, Lin S, Li H, Wu S. Association between fine particulate matter and coronary heart disease: A miRNA microarray analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120163. [PMID: 36122657 DOI: 10.1016/j.envpol.2022.120163] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/01/2022] [Accepted: 09/08/2022] [Indexed: 06/15/2023]
Abstract
Several studies have reported an association between residential surrounding particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) and coronary heart disease (CHD). However, the underlying biological mechanism remains unclear. To fill this research gap, this study enrolled a residentially stable sample of 942 patients with CHD and 1723 controls. PM2.5 concentration was obtained from satellite-based annual global PM2.5 estimates for the period 1998-2019. MicroRNA microarray and pathway analysis of target genes was performed to elucidate the potential biological mechanism by which PM2.5 increases CHD risk. The results showed that individuals exposed to high PM2.5 concentrations had higher risks of CHD than those exposed to low PM2.5 concentrations (odds ratio = 1.22, 95% confidence interval: 1.00, 1.47 per 10 μg/m3 increase in PM2.5). Systolic blood pressure mediated 6.6% of the association between PM2.5 and CHD. PM2.5 and miR-4726-5p had an interaction effect on CHD development. Bioinformatic analysis demonstrated that miR-4726-5p may affect the occurrence of CHD by regulating the function of RhoA. Therefore, individuals in areas with high PM2.5 exposure and relative miR-4726-5p expression have a higher risk of CHD than their counterparts because of the interaction effect of PM2.5 and miR-4726-5p on blood pressure.
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Affiliation(s)
- Jianhui Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Xiaoxu Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Jieyu Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Le Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Qishuang Ruan
- Department of Orthopedics, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Xingyan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Donghong Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yeying Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Tinggui Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yuduan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yawen Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Mingjun Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Jiadong Wu
- School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Shaowei Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Huangyuan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Siying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
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Wang Y, Hu J, Huang L, Li T, Yue X, Xie X, Liao H, Chen K, Wang M. Projecting future health burden associated with exposure to ambient PM 2.5 and ozone in China under different climate scenarios. ENVIRONMENT INTERNATIONAL 2022; 169:107542. [PMID: 36194980 DOI: 10.1016/j.envint.2022.107542] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/18/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
Projecting future air pollution and related health burdens remains challenging because of the complex interactions among future emissions, population, and climate change. In this study, we estimated the premature deaths attributed to ambient fine particulate matter (PM2.5) and ozone (O3) from 2015 to 2100 under four socioeconomic climate scenarios based on an age-stratified assessment method. We found that PM2.5 will decrease in all shared socioeconomic pathway (SSP) scenarios and O3 will decrease in the SSP1-2.6 and SSP2-4.5 scenarios, contributing to a decrease in premature mortality together with the declining total population in China. However, the benefits of a decline in population size and PM2.5 and O3 concentrations over time will be largely offset by population aging, and premature death caused by PM2.5 and O3 will continue to rise till 2060-2080. This impact was greater for the O3-related deaths than those for PM2.5. Our study highlights the importance of future prevention strategies that must jointly improve air quality and susceptibility to aging.
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Affiliation(s)
- Yiyi Wang
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China; State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jianlin Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China.
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xu Yue
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Xiaodong Xie
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Hong Liao
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Kai Chen
- Yale Center on Climate Change and Health, Yale School of Public Health, 60 College Street, New Haven, CT 06520-8034, USA
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA; RENEW Institute, University at Buffalo, Buffalo, NY, USA; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA.
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35
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Zhang Y, Ma Y, Shen J, Li H, Wang H, Cheng B, Ma L. Effect of ambient O 3 on mortality due to circulatory and respiratory diseases in a high latitude city of northeast China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:67776-67786. [PMID: 35522413 DOI: 10.1007/s11356-022-20585-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/29/2022] [Indexed: 06/14/2023]
Abstract
In recent years, O3 pollution had been worsening in China and became a major challenge for human health. To evaluate the O3 effects on circulatory and respiratory mortality in Harbin, a high latitude city of northeast China, we applied a time-series study from 2014 to 2016. After collecting data and adjusting for the effects of confounders, we built the generalized additive model to assess the associations between O3 and mortality at different lag days. The results showed that an interquartile-range (IQR) increase in O3 concentration corresponded to excess risk (ER) of 2.00% (95%CI: - 0.25-4.30%) for circulatory mortality at lag 0 and 8.02% (95%CI: 4.18-12.01%) for respiratory mortality at lag 2 days in the single-pollutant model. Stratified analysis showed that O3 had a greater effect on females than on males. The effect of O3 exposure on circulatory mortality was stronger during the warm period, while the opposite trend was founded for respiratory mortality. The sensitivity analysis showed that the effects of O3 were relatively independent and the major results were robust.
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Affiliation(s)
- Yifan Zhang
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China.
| | - Jiahui Shen
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Heping Li
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Liya Ma
- Lanzhou Petrochemical Company, Lanzhou, 730060, China
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36
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Wang J, Wang W, Zhang W, Wang J, Huang Y, Hu Z, Chen Y, Guo X, Deng F, Zhang L. Co-exposure to multiple air pollutants and sleep disordered breathing in patients with or without obstructive sleep apnea: A cross-sectional study. ENVIRONMENTAL RESEARCH 2022; 212:113155. [PMID: 35351455 DOI: 10.1016/j.envres.2022.113155] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 01/31/2022] [Accepted: 03/18/2022] [Indexed: 05/26/2023]
Abstract
BACKGROUND Air pollution may be a contributing risk factor for obstructive sleep apnea (OSA). However, the health effects of co-exposure to multiple air pollutants on OSA patients remain unclear. OBJECTIVES To assess the joint effect of multi-pollutant on sleep disordered breathing (SDB) parameters in patients with or without OSA and identify the dominant pollutants. METHODS A total of 2524 outpatients from April 2020 to May 2021 were recruited in this cross-sectional study. Ambient air pollutant data were obtained from the nearest central monitoring stations to participants' residential address. SDB parameters were measured by the ApneaLink devices, including apnea-hypopnea index (AHI), hypopnea index (HI), oxygen desaturation index (ODI), average oxygen saturation (SpO2), percentage sleep time with <90% saturation (T90), and desaturation. Bayesian kernel machine regression (BKMR) was applied to evaluate the effects of multiple pollutants. RESULTS Significant associations were observed between air pollutants and SDB parameters (including increases in AHI, HI, ODI, and desaturation) among patients with OSA. Co-exposure to air pollutants was positively correlated with AHI, HI, and ODI. PM10 and O3 dominated the effects of pollutant mixtures on OSA, with the highest posterior inclusion probability (PIP) values of 0.592 and 0.640, respectively. Stratified analysis showed that, compared to male patients with OSA, stronger effects on the SDB parameters were observed in female patients. Stronger associations were also found in the warm season than those in the cold season. CONCLUSION Co-exposure to air pollutants was associated with SDB parameters among patients with OSA, PM10 and O3 might play the dominant roles.
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Affiliation(s)
- Junyi Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Wenlou Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Jianli Wang
- Department of Respiratory Medicine, Peking University Third Hospital, Beijing, 100191, China
| | - Yongwei Huang
- Department of Respiratory Medicine, Peking University Third Hospital, Beijing, 100191, China
| | - Zixuan Hu
- Department of Respiratory Medicine, Peking University Third Hospital, Beijing, 100191, China
| | - Yahong Chen
- Department of Respiratory Medicine, Peking University Third Hospital, Beijing, 100191, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
| | - Liqiang Zhang
- Department of Respiratory Medicine, Peking University Third Hospital, Beijing, 100191, China.
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Air pollution and lung cancer survival in Pennsylvania. Lung Cancer 2022; 170:65-73. [PMID: 35716633 PMCID: PMC9732862 DOI: 10.1016/j.lungcan.2022.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 05/22/2022] [Accepted: 06/07/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Lung cancer is a leading cause of cancer death in the United States. Exposure to outdoor air pollution (OAP) is associated with increased lung cancer incidence, however little is known about the association of OAP and survival after diagnosis. METHODS We investigated the effects of OAP and lung cancer survival in Pennsylvania using data from Pennsylvania Cancer Registry. The study population consisted of 252,123 patients diagnosed between 1990 and 2017. The Environmental Protection Agency's ambient air monitoring network provided information on OAP exposure of NO2, O3, PM2.5, and PM10. Mean OAP exposures were calculated by interpolating exposure concentrations from the five nearest monitors within a 50-kilometer radius of each patient's residential address from date of diagnosis to date of death or last contact. Cox proportional-hazards models were used to estimate the hazard ratios (HR) for OAP exposures for overall and lung cancer-specific survival. Statistical analyses were stratified by SEER cancer stage groupings (localized, regional, and distant) and adjusted for individual-level and area-level covariates. RESULTS Median survival time was 0.76 [CIs: 0.75, 0.77] years for the study population and for localized, regional, and distant site diagnosis were 2.2 [CIs: 2.17, 2.23], 1.13 [CIs: 1.12, 1.15], and 0.42 [CIs: 0.41, 0.43] years, respectively. NO2 indicated the greatest HR which increased with increasing magnitude of exposure across all cancer staging groups for deaths before 2-years post-diagnosis. HRs varied by stage and magnitude of OAP exposure with greatest overall effects shown in NO2 followed by PM2.5, O3, and PM10. A subgroup analysis of patients with treatment status information (2010-2017) showed similar associations of increasing HRs with increasing exposure. CONCLUSION These findings supported the hypotheses that OAP can influence the carcinogenic process, impairing chemotherapy treatment, and provide important public health implications since environmental factors are not often considered in prognosis of survival after diagnosis.
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Zhang J, Feng L, Zhao Y, Hou C, Gu Q. Health risks of PM 2.5-bound polycyclic aromatic hydrocarbon (PAH) and heavy metals (PPAH&HM) during the replacement of central heating with urban natural gas in Tianjin, China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2022; 44:2495-2514. [PMID: 34291374 DOI: 10.1007/s10653-021-01040-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
To investigate the health effects of fine particulate matter (≤ 2.5 μm in aerodynamic diameter; PM2.5)-bound heavy metals and polycyclic aromatic hydrocarbons (PAHs) before and after the implementation of the Urban Natural Gas Heating Project (UNGHP), the lifetime cancer risks, hazard quotients (HQs) of heavy metals and PAHs were calculated. Seven kinds of heavy metals (Al, As, Cd, Cr, Mn, Ni and Se) and 12 kinds of PAHs including acenaphthylene (ANY), acenaphthene (ANA), fluoranthene (FLT), pyrene (PYR), chrysene (CHR), benz[a]anthracene (BaA), benzo[b]fluoranthene (BbF), benzo[k]fluoranthene (BkF), benzo[a]pyrene (BaP), dibenz[a,h]anthracene (DBA), benzo[ghi]perylene (BPE) and indeno[1,2,3-cd]pyrene (IPY) were analyzed and used for the health risk assessments. It was found that HQ of Mn fell from 1.09 in the coal-burning period to 0.72 in the gas-burning period in the suburban area. And lifetime cancer risks of PAHs fell from 35.7 × 10-6 in the coal-burning period to 17.22 × 10-6 in the gas-burning period in the urban area. It could be concluded that, during the gas-burning period, downward trends were observed for the lifetime cancer risks and HQs of most kinds of heavy metals and PAHs in all regions of Tianjin compared to those during the coal-burning period. The UNGHP was effective, and we should also take other measures to control the pollution.
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Affiliation(s)
- Jingwei Zhang
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Lihong Feng
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Yan Zhao
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Changchun Hou
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Qing Gu
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China.
- School of Public Health, Tianjin Medical University, No.22 Qixiangtai Rd, Tianjin, China.
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Liu S, Zhang Y, Ma R, Liu X, Liang J, Lin H, Shen P, Zhang J, Lu P, Tang X, Li T, Gao P. Long-term exposure to ozone and cardiovascular mortality in a large Chinese cohort. ENVIRONMENT INTERNATIONAL 2022; 165:107280. [PMID: 35605364 DOI: 10.1016/j.envint.2022.107280] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/09/2022] [Accepted: 05/02/2022] [Indexed: 05/22/2023]
Abstract
BACKGROUND Evidence for the association between long-term exposure to ozone (O3) and cause-specific cardiovascular disease (CVD) mortality is inconclusive, and this association has rarely been evaluated at high O3 concentrations. OBJECTIVES We aim to evaluate the associations between long-term O3 exposure and cause-specific CVD mortality in a Chinese population. METHODS From 2009 to 2018, 744,882 subjects (median follow-up of 7.72 years) were included in the CHinese Electronic health Records Research in Yinzhou (CHERRY) study. The annual average concentrations of O3 and fine particulate matter (PM2.5), which were estimated using grids with a resolution up to 1 × 1 km, were assigned to the community address for each subject. The outcomes were deaths from CVD, ischemic heart disease (IHD), myocardial infarction (MI), stroke, and hemorrhagic/ischemic stroke. Time-varying Cox model adjusted for PM2.5 and individual-level covariates was used. RESULTS The mean of annual average O3 concentrations was 68.05 μg/m3. The adjusted hazard ratio per 10 μg/m3 O3 increase was 1.22 (95% confidence interval [CI]: 1.13-1.33) for overall CVD mortality, 1.08 (0.91-1.29) for IHD, 1.21 (0.90-1.63) for MI, 1.28 (1.15-1.43) for overall stroke, 1.39 (1.16-1.67) for hemorrhagic stroke and 1.22 (1.00-1.49) for ischemic stroke, respectively. The study showed that subjects without hypertension had a higher risk for CVD mortality associated with long-term O3 exposure (1.66 vs. 1.15, p = 0.01). CONCLUSIONS We observed the association between long-term exposure to high O3 concentrations and cause-specific CVD mortality in China, independent of PM2.5 and other CVD risk factors. This suggested an urgent need to control O3 pollution, especially in developing countries.
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Affiliation(s)
- Shudan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuannanli Road, Chaoyang District, Beijing 100021, China
| | - Runmei Ma
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuannanli Road, Chaoyang District, Beijing 100021, China
| | - Xiaofei Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jingyuan Liang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Hongbo Lin
- Yinzhou District Centre for Disease Control and Prevention, 1221 Xueshi Road, Ningbo, Zhejiang 315100, China
| | - Peng Shen
- Yinzhou District Centre for Disease Control and Prevention, 1221 Xueshi Road, Ningbo, Zhejiang 315100, China
| | - Jingyi Zhang
- Wonders Information Co., Ltd, 1518 Lianhang Road, Shanghai, China
| | - Ping Lu
- Wonders Information Co., Ltd, 1518 Lianhang Road, Shanghai, China
| | - Xun Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuannanli Road, Chaoyang District, Beijing 100021, China.
| | - Pei Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China; Center for Real-World Evidence Evaluation, Peking University Clinical Research Institute, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular (Peking University), Ministry of Education, Beijing, China.
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40
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Liu S, Lim YH, Chen J, Strak M, Wolf K, Weinmayr G, Rodopolou S, de Hoogh K, Bellander T, Brandt J, Concin H, Zitt E, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Verschuren WMM, Jöckel KH, Jørgensen JT, So R, Amini H, Cole-Hunter T, Mehta AJ, Mortensen LH, Ketzel M, Lager A, Leander K, Ljungman P, Severi G, Boutron-Ruault MC, Magnusson PKE, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Rizzuto D, van der Schouw YT, Schramm S, Sørensen M, Stafoggia M, Tjønneland A, Katsouyanni K, Huang W, Samoli E, Brunekreef B, Hoek G, Andersen ZJ. Long-term Air Pollution Exposure and Pneumonia-related Mortality in a Large Pooled European Cohort. Am J Respir Crit Care Med 2022; 205:1429-1439. [PMID: 35258439 DOI: 10.1164/rccm.202106-1484oc] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Rationale: Ambient air pollution exposure has been linked to mortality from chronic cardiorespiratory diseases, while evidence on respiratory infections remains more limited. Objectives: We examined the association between long-term exposure to air pollution and pneumonia-related mortality in adults in a pool of eight European cohorts. Methods: Within the multicenter project ELAPSE (Effects of Low-Level Air Pollution: A Study in Europe), we pooled data from eight cohorts among six European countries. Annual mean residential concentrations in 2010 for fine particulate matter, nitrogen dioxide (NO2), black carbon (BC), and ozone were estimated using Europe-wide hybrid land-use regression models. We applied stratified Cox proportional hazard models to investigate the associations between air pollution and pneumonia, influenza, and acute lower respiratory infections (ALRI) mortality. Measurements and Main Results: Of 325,367 participants, 712 died from pneumonia and influenza combined, 682 from pneumonia, and 695 from ALRI during a mean follow-up of 19.5 years. NO2 and BC were associated with 10-12% increases in pneumonia and influenza combined mortality, but 95% confidence intervals included unity (hazard ratios, 1.12 [0.99-1.26] per 10 μg/m3 for NO2; 1.10 [0.97-1.24] per 0.5 10-5m-1 for BC). Associations with pneumonia and ALRI mortality were almost identical. We detected effect modification suggesting stronger associations with NO2 or BC in overweight, employed, or currently smoking participants compared with normal weight, unemployed, or nonsmoking participants. Conclusions: Long-term exposure to combustion-related air pollutants NO2 and BC may be associated with mortality from lower respiratory infections, but larger studies are needed to estimate these associations more precisely.
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Affiliation(s)
| | | | - Jie Chen
- Institute for Risk Assessment Sciences and
| | - Maciek Strak
- Institute for Risk Assessment Sciences and.,National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sophia Rodopolou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Tom Bellander
- Institute of Environmental Medicine.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science.,iClimate, Interdisciplinary Centre for Climate Change, and
| | - Hans Concin
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria.,Department of Internal Medicine 3, Landeskrankenhaus Feldkirch, Feldkirch, Austria
| | - Daniela Fecht
- Medical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/Azienda Sanitaria Locale Roma 1, Rome, Italy.,Science Policy & Epidemiology Environmental Research Group King's College London, London, United Kingdom
| | - John Gulliver
- Medical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.,Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Ole Hertel
- Department of Ecoscience, Aarhus University, Roskilde, Denmark, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | | | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands.,National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | | | - Rina So
- Section of Environmental Health
| | | | | | - Amar J Mehta
- Section of Epidemiology, and.,Statistics Denmark, Copenhagen, Denmark
| | - Laust H Mortensen
- Section of Epidemiology, and.,Statistics Denmark, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science.,Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | | | | | - Petter Ljungman
- Institute of Environmental Medicine.,Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Gianluca Severi
- University Paris-Saclay, University of Versailles Saint-Quentin, Inserm, Gustave Roussy, "Exposome and Heredity" team, The Centre de Recherche en Epidémiologie et Santé des Populations UMR1018, Villejuif, France.,Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Florence, Italy
| | - Marie-Christine Boutron-Ruault
- University Paris-Saclay, University of Versailles Saint-Quentin, Inserm, Gustave Roussy, "Exposome and Heredity" team, The Centre de Recherche en Epidémiologie et Santé des Populations UMR1018, Villejuif, France
| | | | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.,Chair of Epidemiology, Ludwig Maximilians Universität München, Germany
| | - Ole Raaschou-Nielsen
- Department of Environmental Science.,Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Massimo Stafoggia
- Institute of Environmental Medicine.,Department of Epidemiology, Lazio Region Health Service/Azienda Sanitaria Locale Roma 1, Rome, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Diet, Genes and Environment (DGE), Copenhagen, Denmark; and
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Science Policy & Epidemiology Environmental Research Group King's College London, London, United Kingdom
| | - Wei Huang
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | | | | | - Zorana J Andersen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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So R, Andersen ZJ, Chen J, Stafoggia M, de Hoogh K, Katsouyanni K, Vienneau D, Rodopoulou S, Samoli E, Lim YH, Jørgensen JT, Amini H, Cole-Hunter T, Mahmood Taghavi Shahri S, Maric M, Bergmann M, Liu S, Azam S, Loft S, Westendorp RGJ, Mortensen LH, Bauwelinck M, Klompmaker JO, Atkinson R, Janssen NAH, Oftedal B, Renzi M, Forastiere F, Strak M, Thygesen LC, Brunekreef B, Hoek G, Mehta AJ. Long-term exposure to air pollution and mortality in a Danish nationwide administrative cohort study: Beyond mortality from cardiopulmonary disease and lung cancer. ENVIRONMENT INTERNATIONAL 2022; 164:107241. [PMID: 35544998 DOI: 10.1016/j.envint.2022.107241] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 04/04/2022] [Accepted: 04/09/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The association between long-term exposure to air pollution and mortality from cardiorespiratory diseases is well established, yet the evidence for other diseases remains limited. OBJECTIVES To examine the associations of long-term exposure to air pollution with mortality from diabetes, dementia, psychiatric disorders, chronic kidney disease (CKD), asthma, acute lower respiratory infection (ALRI), as well as mortality from all-natural and cardiorespiratory causes in the Danish nationwide administrative cohort. METHODS We followed all residents aged ≥ 30 years (3,083,227) in Denmark from 1 January 2000 until 31 December 2017. Annual mean concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), and ozone (warm season) were estimated using European-wide hybrid land-use regression models (100 m × 100 m) and assigned to baseline residential addresses. We used Cox proportional hazard models to evaluate the association between air pollution and mortality, accounting for demographic and socioeconomic factors. We additionally applied indirect adjustment for smoking and body mass index (BMI). RESULTS During 47,023,454 person-years of follow-up, 803,881 people died from natural causes. Long-term exposure to PM2.5 (mean: 12.4 µg/m3), NO2 (20.3 µg/m3), and/or BC (1.0 × 10-5/m) was statistically significantly associated with all studied mortality outcomes except CKD. A 5 µg/m3 increase in PM2.5 was associated with higher mortality from all-natural causes (hazard ratio 1.11; 95% confidence interval 1.09-1.13), cardiovascular disease (1.09; 1.07-1.12), respiratory disease (1.11; 1.07-1.15), lung cancer (1.19; 1.15-1.24), diabetes (1.10; 1.04-1.16), dementia (1.05; 1.00-1.10), psychiatric disorders (1.38; 1.27-1.50), asthma (1.13; 0.94-1.36), and ALRI (1.14; 1.09-1.20). Associations with long-term exposure to ozone (mean: 80.2 µg/m3) were generally negative but became significantly positive for several endpoints in two-pollutant models. Generally, associations were attenuated but remained significant after indirect adjustment for smoking and BMI. CONCLUSION Long-term exposure to PM2.5, NO2, and/or BC in Denmark were associated with mortality beyond cardiorespiratory diseases, including diabetes, dementia, psychiatric disorders, asthma, and ALRI.
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Affiliation(s)
- Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Environmental Research Group, School of Public Health, Imperial College London, London, UK
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Heresh Amini
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | | | - Matija Maric
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Bergmann
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Shadi Azam
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Steffen Loft
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rudi G J Westendorp
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Denmark Statistics, Copenhagen, Denmark
| | - Mariska Bauwelinck
- Interface Demography - Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Richard Atkinson
- Population Health Research Institute, St George's University of London, London, UK
| | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Bente Oftedal
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy; Science Policy & Epidemiology Environmental Research Group King's College London, London, UK
| | - Maciek Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Lau C Thygesen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Denmark Statistics, Copenhagen, Denmark
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Chabot MB, Fleming AM, Burrows CJ. Identification of the Major Product of Guanine Oxidation in DNA by Ozone. Chem Res Toxicol 2022; 35:1809-1813. [PMID: 35642826 DOI: 10.1021/acs.chemrestox.2c00103] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Ozonolysis of guanosine formed the 5-carboxamido-5-formamido-2-iminohydantoin (2Ih) nucleoside along with trace spiroiminodihydantoin (Sp). On the basis of literature precedent, we propose an unconventional ozone mechanism involving incorporation of only one oxygen atom of O3 to form 2Ih with evolution of singlet oxygen responsible for Sp formation. The increased yield of Sp in the buffered 1O2-stabilizing solvent D2O, formation of 2Ih in a short oligodeoxynucleotide, and 18O-isotope labeling provided evidence to support this mechanism. The elusiveness and challenges of working with 2Ih are described in a series of studies on the significant context effects on the half-life of the 2Ih glycosidic bond.
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Affiliation(s)
- Michael B Chabot
- Department of Chemistry, University of Utah, 315 S. 1400 E., Salt Lake City, Utah 84112-0850, United States
| | - Aaron M Fleming
- Department of Chemistry, University of Utah, 315 S. 1400 E., Salt Lake City, Utah 84112-0850, United States
| | - Cynthia J Burrows
- Department of Chemistry, University of Utah, 315 S. 1400 E., Salt Lake City, Utah 84112-0850, United States
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43
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Sun HZ, Yu P, Lan C, Wan MW, Hickman S, Murulitharan J, Shen H, Yuan L, Guo Y, Archibald AT. Cohort-based long-term ozone exposure-associated mortality risks with adjusted metrics: A systematic review and meta-analysis. Innovation (N Y) 2022; 3:100246. [PMID: 35519514 PMCID: PMC9065904 DOI: 10.1016/j.xinn.2022.100246] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/16/2022] [Indexed: 11/30/2022] Open
Abstract
Long-term ozone (O3) exposure may lead to non-communicable diseases and increase mortality risk. However, cohort-based studies are relatively rare, and inconsistent exposure metrics impair the credibility of epidemiological evidence synthetization. To provide more accurate meta-estimations, this study updates existing systematic reviews by including recent studies and summarizing the quantitative associations between O3 exposure and cause-specific mortality risks, based on unified exposure metrics. Cross-metric conversion factors were estimated linearly by decadal observations during 1990-2019. The Hunter-Schmidt random-effects estimator was applied to pool the relative risks. A total of 25 studies involving 226,453,067 participants (14 unique cohorts covering 99,855,611 participants) were included in the systematic review. After linearly unifying the inconsistent O3 exposure metrics , the pooled relative risks associated with every 10 nmol mol-1 (ppbV) incremental O3 exposure, by mean of the warm-season daily maximum 8-h average metric, were as follows: 1.014 with 95% confidence interval (CI) ranging 1.009-1.019 for all-cause mortality; 1.025 (95% CI: 1.010-1.040) for respiratory mortality; 1.056 (95% CI: 1.029-1.084) for COPD mortality; 1.019 (95% CI: 1.004-1.035) for cardiovascular mortality; and 1.074 (95% CI: 1.054-1.093) for congestive heart failure mortality. Insignificant mortality risk associations were found for ischemic heart disease, cerebrovascular diseases, and lung cancer. Adjustment for exposure metrics laid a solid foundation for multi-study meta-analysis, and widening coverage of surface O3 observations is expected to strengthen the cross-metric conversion in the future. Ever-growing numbers of epidemiological studies supported the evidence for considerable cardiopulmonary hazards and all-cause mortality risks from long-term O3 exposure. However, evidence of long-term O3 exposure-associated health effects was still scarce, so more relevant studies are needed to cover more populations with regional diversity.
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Affiliation(s)
- Haitong Zhe Sun
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
- Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, UK
| | - Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Changxin Lan
- Institute of Reproductive and Child Health, Key Laboratory of Reproductive Health, National Health Commission of the People’s Republic of China, Beijing 100191, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Michelle W.L. Wan
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Sebastian Hickman
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Jayaprakash Murulitharan
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Huizhong Shen
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Le Yuan
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Alexander T. Archibald
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
- National Centre for Atmospheric Science, Cambridge CB2 1EW, UK
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Review of Ground-Level Ozone Impact in Respiratory Health Deterioration for the Past Two Decades. ATMOSPHERE 2022. [DOI: 10.3390/atmos13030434] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background: Ground-level ozone has been gaining notoriety with increasing evidence of its nefarious effects on health, especially respiratory diseases. Where do we stand on the solidity of this data and is there room for improvement? Objectives: Evaluate this evidence for incongruities or heterogeneity in this field of research. How is the exposure assessment conducted, where does Portugal stand in this field, and what can be improved? Health deterioration concerning asthma, chronic obstructive pulmonary disease (COPD), and acute respiratory distress syndrome (ARDS) are analysed. Methods: A review of 1735 studies was conducted through PubMed and Google Scholar engines for the past two decades. We identified 59 eligible studies and included an array of variables, including O3 measurements, number of air-quality monitoring stations used, relative risks, odds ratios, hazard ratios, number of hospital admissions, visits, or mortality, and size of population dataset used. Results: Approximately 83% of data in this review presents significant correlations of ozone with asthma, COPD, and ARDS. Studies that report negative or not significant associations mention a lack of data or topographic differences as the main issue with these divergent results. Studies consistently report summer as a period of particular concern. Portuguese data in this field is lacking. Conclusions: This research field is growing in interest and there is evidence that ozone plays a non-negligible role in health deterioration. The few Portuguese studies in this field seem aligned with the literature reviewed but more research is needed. Suggested improvements are more and better data through denser air-quality networks to accurately depict personal exposure to ozone. Homogenization of the exposure assessment concerning averaging times of ozone to daily maximum 8 h averages whenever possible. Risk increments based on 10 ppb instead of interquartile ranges. Lastly, contrary to some studies in this review, the topographic effect on concentrations and health deterioration should not be underestimated and seasonality should always be checked.
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45
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Wang Y, Huang C, Hu J, Wang M. Development of high-resolution spatio-temporal models for ambient air pollution in a metropolitan area of China from 2013 to 2019. CHEMOSPHERE 2022; 291:132918. [PMID: 34798111 DOI: 10.1016/j.chemosphere.2021.132918] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 10/23/2021] [Accepted: 11/14/2021] [Indexed: 06/13/2023]
Abstract
Modeling high-resolution air pollution concentrations is essential to accurately assess exposure for population studies. The aim of this study is to establish an advanced exposure model to predict spatiotemporal changes in fine particulate matter (PM2.5), nitrogen dioxides (NO2), and ozone (O3) concentrations in Shanghai, China. The model is constructed on a geo-statistical modeling framework that incorporates a dimension reduction regression approach and a spatial smoothing function to deal with fine-scale exposure variations. We used a dataset with comprehensive observational and predictor variables that included monitoring data from both national and local agencies from 2013 to 2019, a high-resolution geographical dataset of predictor variables, and a full-coverage weekly satellite data of the aerosol optical depth at a 1 × 1 km2 resolution. Our model performed well in terms of the spatial and temporal prediction ability assessed by cross-validation (CV) for PM2.5 (spatial R2 = 0.89, temporal R2 = 0.91), NO2 (R2 = 0.49, 0.78), and O3 (R2 = 0.67, 0.81) at the national monitors over seven years according to the leave-one-out CV. For the predictions at the local agency monitoring stations, the overall CV R2 was between 0.77 and 0.89 across the air pollutants. We visualized the long-term and seasonal averaged predictions of the PM2.5, NO2, and O3 exposure on maps with a spatial resolution of 100 × 100 m2. Our study provides a useful tool to accurately estimate air pollution exposure with high spatial and temporal resolution at the urban scale. These model predictions will be useful to assess both short-term and long-term air pollution exposure for health studies.
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Affiliation(s)
- Yiyi Wang
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Conghong Huang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Jianlin Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA; RENEW Institute, University at Buffalo, Buffalo, NY, USA; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA.
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46
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Abstract
PURPOSE OF REVIEW With cardiovascular disease (CVD) being the top cause of deaths worldwide, it is important to ensure healthy cardiovascular aging through enhanced understanding and prevention of adverse health effects exerted by external factors. This review aims to provide an updated understanding of environmental influences on cardiovascular aging, by summarizing epidemiological and mechanistic evidence for the cardiovascular health impact of major environmental stressors, including air pollution, endocrine-disrupting chemicals (EDCs), metals, and climate change. RECENT FINDINGS Recent studies generally support positive associations of exposure to multiple chemical environmental stressors (air pollution, EDCs, toxic metals) and extreme temperatures with increased risks of cardiovascular mortality and morbidity in the population. Environmental stressors have also been associated with a number of cardiovascular aging-related subclinical changes including biomarkers in the population, which are supported by evidence from relevant experimental studies. The elderly and patients are the most vulnerable demographic groups to majority environmental stressors. Future studies should account for the totality of individuals' exposome in addition to single chemical pollutants or environmental factors. Specific factors most responsible for the observed health effects related to cardiovascular aging remain to be elucidated.
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Affiliation(s)
- Yang Lan
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi'an City, Shaanxi Province, 710061, People's Republic of China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi'an City, Shaanxi Province, 710061, People's Republic of China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China.
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China.
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47
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Kazemiparkouhi F, Honda T, Eum KD, Wang B, Manjourides J, Suh HH. The impact of Long-Term PM 2.5 constituents and their sources on specific causes of death in a US Medicare cohort. ENVIRONMENT INTERNATIONAL 2022; 159:106988. [PMID: 34933236 DOI: 10.1016/j.envint.2021.106988] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 11/10/2021] [Accepted: 11/15/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Our understanding of the impact of long-term exposures to PM2.5 constituents and sources on mortality is limited. OBJECTIVES To examine associations between long-term exposures to PM2.5 constituents and sources and cause-specific mortality in US older adults. METHODS We obtained demographic and mortality data for 15.4 million Medicare beneficiaries living within the conterminous United States (US) between 2000 and 2008. We assessed PM2.5 constituents exposures for each beneficiary and used factor analysis and residual-based methods to characterize PM2.5 sources and mixtures, respectively. In age-, sex-, race- and site- stratified Cox proportional hazard models adjusted for neighborhood socio-economic status (SES), we assessed associations of individual PM2.5 constituents, sources, and mixtures and cause-specific mortality and examined modification of these associations by participant demographics and location of residence. We assessed the robustness of our findings to additional adjustment for behavioral risk factors and to alternate exposure definitions and exposure windows. RESULTS Hazard ratios (HR) were highest for all causes of death, except COPD, for PM2.5 constituents and the coal combustion-related PM2.5 components, with no evidence of confounding by behavioral covariates. We further found Pb and metal-related PM2.5 components to be significantly associated with increased HR of all causes of death, except COPD and lung cancer mortality, and nitrate (NO3-) and silicon (Si) and associated source-related PM2.5 components (traffic and soil, respectively) to be significantly associated with increased all-cause, CVD, respiratory and all cancer-related mortality HR. Associations for other examined constituents and mortality were inconsistent or largely null. Our analyses of mixtures were generally consistent with these findings. Mortality HRs were greatest for minority, especially Black, low-income urban, younger, and male beneficiaries. DISCUSSION PM2.5 components related to coal combustion, traffic, and to a lesser extent, soil were strongly associated with mortality from CVD, respiratory disease, and cancer.
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Affiliation(s)
| | - Trenton Honda
- Bouvè College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Ki-Do Eum
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA
| | - Bingyu Wang
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Justin Manjourides
- Bouvè College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Helen H Suh
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA.
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Kasdagli MI, Katsouyanni K, de Hoogh K, Lagiou P, Samoli E. Investigating the association between long-term exposure to air pollution and greenness with mortality from neurological, cardio-metabolic and chronic obstructive pulmonary diseases in Greece. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118372. [PMID: 34656679 DOI: 10.1016/j.envpol.2021.118372] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 05/20/2023]
Abstract
Long-term exposure to air pollution has been associated with increased natural-cause mortality, but the evidence on diagnoses-specific mortality outcomes is limited. Few studies have examined the potential synergistic effects of exposure to pollutants and greenness. We investigated the association between exposure to air pollution and greenness with nervous system related mortality, cardiometabolic and chronic obstructive pulmonary diseases (COPD) mortality in Greece, using an ecological study design. We collected socioeconomic and mortality data for 1035 municipal units from the 2011 Census. Annual PM2.5, NO2, BC and O3 concentrations for 2010 were predicted at 100 × 100 m grids by hybrid land use regression models. The normalized difference vegetation index (NDVI) was used for greenness. We applied single and two-exposure Poisson regression models on standardized mortality rates accounting for spatial autocorrelation. We assessed interactions between pollutants and greenness. An interquartile range increase in PM2.5, NO2 and BC was associated with increased risk in mortality from diseases of the nervous system (relative risk (RR): 1.14, 95% confidence interval (CI): 1.01, 1.28); 1.03 (95% CI: 0.99, 1.07); 1.05 (95% CI: 1.00, 1.10) respectively) and from cerebrovascular disease (RR: 1.14, 95% CI: 1.10, 1.18); 1.02 (95% CI: 1.01, 1.04); 1.02 (95% CI: 1.00, 1.04) respectively). PM2.5 was associated with ischemic heart disease mortality (RR: 1.05, 95% CI: 1.01, 1.10). We estimated inverse associations for all outcomes with O3 and for mortality from diseases of the nervous system or COPD with greenness. Estimates were mostly robust to co-exposure adjustment. Interactions were identified between NDVI and O3 or PM2.5 on mortality from the diseases of the nervous system, with higher effect estimates in greener areas. Our findings support the adverse effects of air pollution and the beneficial role of greenness on cardiovascular and nervous system related mortality. Further research is needed on diabetes mellitus.
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Affiliation(s)
- Maria-Iosifina Kasdagli
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Environmental Research Group, MRC Centre for Environment and Health, Imperial College, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
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Stafoggia M, Oftedal B, Chen J, Rodopoulou S, Renzi M, Atkinson RW, Bauwelinck M, Klompmaker JO, Mehta A, Vienneau D, Andersen ZJ, Bellander T, Brandt J, Cesaroni G, de Hoogh K, Fecht D, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Jöckel KH, Jørgensen JT, Katsouyanni K, Ketzel M, Kristoffersen DT, Lager A, Leander K, Liu S, Ljungman PLS, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Rizzuto D, Schramm S, Schwarze PE, Severi G, Sigsgaard T, Strak M, van der Schouw YT, Verschuren M, Weinmayr G, Wolf K, Zitt E, Samoli E, Forastiere F, Brunekreef B, Hoek G, Janssen NAH. Long-term exposure to low ambient air pollution concentrations and mortality among 28 million people: results from seven large European cohorts within the ELAPSE project. Lancet Planet Health 2022; 6:e9-e18. [PMID: 34998464 DOI: 10.1016/s2542-5196(21)00277-1] [Citation(s) in RCA: 184] [Impact Index Per Article: 61.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 09/13/2021] [Accepted: 09/20/2021] [Indexed: 05/21/2023]
Abstract
BACKGROUND Long-term exposure to ambient air pollution has been associated with premature mortality, but associations at concentrations lower than current annual limit values are uncertain. We analysed associations between low-level air pollution and mortality within the multicentre study Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE). METHODS In this multicentre longitudinal study, we analysed seven population-based cohorts of adults (age ≥30 years) within ELAPSE, from Belgium, Denmark, England, the Netherlands, Norway, Rome (Italy), and Switzerland (enrolled in 2000-11; follow-up until 2011-17). Mortality registries were used to extract the underlying cause of death for deceased individuals. Annual average concentrations of fine particulate matter (PM2·5), nitrogen dioxide (NO2), black carbon, and tropospheric warm-season ozone (O3) from Europe-wide land use regression models at 100 m spatial resolution were assigned to baseline residential addresses. We applied cohort-specific Cox proportional hazard models with adjustment for area-level and individual-level covariates to evaluate associations with non-accidental mortality, as the main outcome, and with cardiovascular, non-malignant respiratory, and lung cancer mortality. Subset analyses of participants living at low pollutant concentrations (as per predefined values) and natural splines were used to investigate the concentration-response function. Cohort-specific effect estimates were pooled in a random-effects meta-analysis. FINDINGS We analysed 28 153 138 participants contributing 257 859 621 person-years of observation, during which 3 593 741 deaths from non-accidental causes occurred. We found significant positive associations between non-accidental mortality and PM2·5, NO2, and black carbon, with a hazard ratio (HR) of 1·053 (95% CI 1·021-1·085) per 5 μg/m3 increment in PM2·5, 1·044 (1·019-1·069) per 10 μg/m3 NO2, and 1·039 (1·018-1·059) per 0·5 × 10-5/m black carbon. Associations with PM2·5, NO2, and black carbon were slightly weaker for cardiovascular mortality, similar for non-malignant respiratory mortality, and stronger for lung cancer mortality. Warm-season O3 was negatively associated with both non-accidental and cause-specific mortality. Associations were stronger at low concentrations: HRs for non-accidental mortality at concentrations lower than the WHO 2005 air quality guideline values for PM2·5 (10 μg/m3) and NO2 (40 μg/m3) were 1·078 (1·046-1·111) per 5 μg/m3 PM2·5 and 1·049 (1·024-1·075) per 10 μg/m3 NO2. Similarly, the association between black carbon and non-accidental mortality was highest at low concentrations, with a HR of 1·061 (1·032-1·092) for exposure lower than 1·5× 10-5/m, and 1·081 (0·966-1·210) for exposure lower than 1·0× 10-5/m. INTERPRETATION Long-term exposure to concentrations of PM2·5 and NO2 lower than current annual limit values was associated with non-accidental, cardiovascular, non-malignant respiratory, and lung cancer mortality in seven large European cohorts. Continuing research on the effects of low concentrations of air pollutants is expected to further inform the process of setting air quality standards in Europe and other global regions. FUNDING Health Effects Institute.
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Affiliation(s)
- Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Bente Oftedal
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
| | - Richard W Atkinson
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mariska Bauwelinck
- Interface Demography-Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Amar Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate Aarhus University Interdisciplinary Centre for Climate Change, Aarhus, Denmark
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Daniela Fecht
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - John Gulliver
- School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Centre for Environmental Health and Sustainability and School of Geography, Geology and the Environment, University of Leicester, Leicester, UK
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research, University of Surrey, Guildford, UK
| | | | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, Munich, Germany
| | - Ole Raaschou-Nielsen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Germany
| | - Per E Schwarze
- Division for Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gianluca Severi
- Exposome and Heredity Team, University Paris-Saclay, UVSQ, INSERM, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications "G Parenti", University of Florence, Italy
| | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Maciek Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands; National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine, Bregenz, Austria
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
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50
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Li J, Deng S, Li G, Lu Z, Song H, Gao J, Sun Z, Xu K. VOCs characteristics and their ozone and SOA formation potentials in autumn and winter at Weinan, China. ENVIRONMENTAL RESEARCH 2022; 203:111821. [PMID: 34370988 DOI: 10.1016/j.envres.2021.111821] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 07/29/2021] [Accepted: 07/29/2021] [Indexed: 06/13/2023]
Abstract
Frequent ozone and fine particulate matter (PM2.5) pollution have been occurring in the Guanzhong Plain in China. To effectively control the tropospheric ozone and PM2.5 pollution, this study performed measurements of 102 VOCs species from Sep.19-25 (autumn) and Nov.27-Dec. 8, 2017 (winter) at Weinan in the central Guanzhong Plain. The total volatile organic compounds (TVOCs) concentrations were 95.8 ± 30.6 ppbv in autumn and 74.4 ± 37.1 ppbv in winter. Alkanes were the most abundant group in both of autumn and winter, accounting for 33.5% and 39.6% of TVOCs concentrations, respectively. The levels of aromatics and oxygenated VOCs were higher in autumn than in winter, mainly due to changes in industrial activities and combustion strength. Photochemical reactivities and ozone formation potentials (OFPs) of VOCs were calculated by applying the OH radical loss rate (LOH) and maximum incremental reactivity (MIR) method, respectively. Results showed that Alkenes and aromatics were the key VOCs in term ozone formation in Weinan, which together contributed 59.6% ̶ 65.3% to the total LOH and OFP. Secondary organic aerosol formation potentials (SOAFP) of the measured VOCs were investigated by employing the fractional aerosol coefficient (FAC) method. Aromatics contributed 94.9% and 96.2% to the total SOAFP in autumn and winter, respectively. The regional transport effects on VOCs and ozone formation were investigated by using trajectory analysis and potential source contribution function (PSCF). Results showed that regional anthropogenic sources from industrial cities (Tongchuan, Xi'an city) and biogenic sources from Qinling Mountain influenced VOCs levels and OFP at Weinan. Future studies need to emphasize on meteorological factors and sources that impact on VOCs concentrations in Weinan.
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Affiliation(s)
- Jianghao Li
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710064, China
| | - Shunxi Deng
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710064, China.
| | - Guanghua Li
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710064, China
| | - Zhenzhen Lu
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710064, China
| | - Hui Song
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; School of Architectural Engineering, Chang'an University, Xi'an, 710064, China
| | - Jian Gao
- Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Zhigang Sun
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710064, China
| | - Ke Xu
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710064, China
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