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Tang JH, Jian HL, Chan TC. The impact of co-exposure to air and noise pollution on the incidence of metabolic syndrome from a health checkup cohort. Sci Rep 2024; 14:8841. [PMID: 38632465 PMCID: PMC11024131 DOI: 10.1038/s41598-024-59576-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/12/2024] [Indexed: 04/19/2024] Open
Abstract
Previous studies have found associations between the incidence of metabolic syndrome (MetS) and exposure to air pollution or road traffic noise. However, investigations on environmental co-exposures are limited. This study aimed to investigate the association between co-exposure to air pollution and road traffic noise and MetS and its subcomponents. Participants living in Taipei City who underwent at least two health checkups between 2010 and 2016 were included in the study. Data were sourced from the MJ Health database, a longitudinal, large-scale cohort in Taiwan. The monthly traffic noise exposure (Lden and Lnight) was computed using a dynamic noise map. Monthly fine particulate data at one kilometer resolution were computed from satellite imagery data. Cox proportional hazards regression models with month as the underlying time scale were used to estimate hazard ratios (HRs) for the impact of PM2.5 and road traffic noise exposure on the risk of developing MetS or its subcomponents. Data from 10,773 participants were included. We found significant positive associations between incident MetS and PM2.5 (HR: 1.88; 95% CI 1.67, 2.12), Lden (HR: 1.10; 95% CI 1.06, 1.15), and Lnight (HR: 1.07; 95% CI 1.02, 1.13) in single exposure models. Results further showed significant associations with an elevated risk of incident MetS in co-exposure models, with HRs of 1.91 (95% CI 1.69, 2.16) and 1.11 (95% CI 1.06, 1.16) for co-exposure to PM2.5 and Lden, and 1.90 (95% CI 1.68, 2.14) and 1.08 (95% CI 1.02, 1.13) for co-exposure to PM2.5 and Lnight. The HRs for the co-exposure models were higher than those for models with only a single exposure. This study provides evidence that PM2.5 and noise exposure may elevate the risk of incident MetS and its components in both single and co-exposure models. Therefore, preventive approaches to mitigate the risk of MetS and its subcomponents should consider reducing exposure to PM2.5 and noise pollution.
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Affiliation(s)
- Jia-Hong Tang
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan
| | - Hong-Lian Jian
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
- Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
- School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan.
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Du XY, Yang JY. Biomimetic microfluidic chips for toxicity assessment of environmental pollutants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170745. [PMID: 38340832 DOI: 10.1016/j.scitotenv.2024.170745] [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: 10/30/2023] [Revised: 01/31/2024] [Accepted: 02/04/2024] [Indexed: 02/12/2024]
Abstract
Various types of pollutants widely present in environmental media, including synthetic and natural chemicals, physical pollutants such as radioactive substances, ultraviolet rays, and noise, as well as biological organisms, pose a huge threat to public health. Therefore, it is crucial to accurately and effectively explore the human physiological responses and toxicity mechanisms of pollutants to prevent diseases caused by pollutants. The emerging toxicological testing method biomimetic microfluidic chips (BMCs) exhibit great potential in environmental pollutant toxicity assessment due to their superior biomimetic properties. The BMCs are divided into cell-on-chips and organ-on-chips based on the distinctions in bionic simulation levels. Herein, we first summarize the characteristics, emergence and development history, composition and structure, and application fields of BMCs. Then, with a focus on the toxicity mechanisms of pollutants, we review the applications and advances of the BMCs in the toxicity assessment of physical, chemical, and biological pollutants, respectively, highlighting its potential and development prospects in environmental toxicology testing. Finally, the opportunities and challenges for further use of BMCs are discussed.
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Affiliation(s)
- Xin-Yue Du
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China
| | - Jin-Yan Yang
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China..
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Eminson K, Cai YS, Chen Y, Blackmore C, Rodgers G, Jones N, Gulliver J, Fenech B, Hansell AL. Does air pollution confound associations between environmental noise and cardiovascular outcomes? - A systematic review. ENVIRONMENTAL RESEARCH 2023; 232:116075. [PMID: 37182833 DOI: 10.1016/j.envres.2023.116075] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 04/24/2023] [Accepted: 05/05/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Exposure to environmental noise is associated with adverse health effects, but there is potential for confounding and interaction with air pollution, particularly where both exposures arise from the same source, such as transport. OBJECTIVES To review evidence on confounding and interaction of air pollution in relation to associations between environmental noise and cardiovascular outcomes. METHODS Papers were identified from similar reviews published in 2013 and 2015, from the systematic reviews supporting the WHO 2018 noise guidelines, and from a literature search covering the period 2016-2022 using Medline and PubMed databases. Additional papers were identified from colleagues. Study selection was according to PECO inclusion criteria. Studies were evaluated against the WHO checklist for risk of bias. RESULTS 52 publications, 36 published after 2015, were identified that assessed associations between transportation noise and cardiovascular outcomes, that also considered potential confounding (49 studies) or interaction (23 studies) by air pollution. Most, but not all studies, suggested that the associations between traffic noise and cardiovascular outcomes are independent of air pollution. NO2 or PM2.5 were the most commonly included air pollutants and we observed no clear differences across air pollutants in terms of the potential confounding role. Most papers did not appear to suggest an interaction between noise and air pollution. Eight studies found the largest noise effect estimates occurring within the higher noise and air pollution exposure categories, but were not often statistically significant. CONCLUSION Whilst air pollution does not appear to confound associations of noise and cardiovascular health, more studies on potential interactions are needed. Current methods to assess quality of evidence are not optimal when evaluating evidence on confounding or interaction.
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Affiliation(s)
- Katie Eminson
- Centre for Environmental Health and Sustainability, University of Leicester, UK
| | - Yutong Samuel Cai
- Centre for Environmental Health and Sustainability, University of Leicester, UK
| | - Yingxin Chen
- Centre for Environmental Health and Sustainability, University of Leicester, UK
| | - Claire Blackmore
- Centre for Environmental Health and Sustainability, University of Leicester, UK
| | - Georgia Rodgers
- Noise and Public Health Group, Environmental Hazards and Emergencies Department, UK Health Security Agency (UKHSA), UK
| | | | - John Gulliver
- Centre for Environmental Health and Sustainability, University of Leicester, UK; National Institute for Health Research (NIHR), Health Protection Research Unit (HPRU) in Environmental Exposures and Health at the University of Leicester, UK
| | - Benjamin Fenech
- Noise and Public Health Group, Environmental Hazards and Emergencies Department, UK Health Security Agency (UKHSA), UK; National Institute for Health Research (NIHR), Health Protection Research Unit (HPRU) in Environmental Exposures and Health at the University of Leicester, UK
| | - Anna L Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, UK; National Institute for Health Research (NIHR), Health Protection Research Unit (HPRU) in Environmental Exposures and Health at the University of Leicester, UK.
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Grady ST, Hart JE, Laden F, Roscoe C, Nguyen DD, Nelson EJ, Bozigar M, VoPham T, Manson JE, Weuve J, Adar SD, Forman JP, Rexrode K, Levy JI, Peters JL. Associations between long-term aircraft noise exposure, cardiovascular disease, and mortality in US cohorts of female nurses. Environ Epidemiol 2023; 7:e259. [PMID: 37545808 PMCID: PMC10402956 DOI: 10.1097/ee9.0000000000000259] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/01/2023] [Indexed: 08/08/2023] Open
Abstract
There is limited research examining aircraft noise and cardiovascular disease (CVD) risk. The objective of this study was to investigate associations of aircraft noise with CVD among two US cohorts, the Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII). Methods Between 1994 and 2014, we followed 57,306 NHS and 60,058 NHSII participants surrounding 90 airports. Aircraft noise was modeled above 44 A-weighted decibels (dB(A)) and linked to geocoded addresses. Based on exposure distributions, we dichotomized exposures at 50 dB(A) and tested sensitivity of this cut-point by analyzing aircraft noise as categories (<45, 45-49, 50-54, ≥55) and continuously. We fit cohort-specific Cox proportional hazards models to estimate relationships between time-varying day-night average sound level (DNL) and CVD incidence and CVD and all-cause mortality, adjusting for fixed and time-varying individual- and area-level covariates. Results were pooled using random effects meta-analysis. Results Over 20 years of follow-up, there were 4529 CVD cases and 14,930 deaths. Approximately 7% (n = 317) of CVD cases were exposed to DNL ≥50 dB(A). In pooled analyses comparing ≥50 with <50 dB(A), the adjusted hazard ratio for CVD incidence was 1.00 (95% confidence interval: 0.89, 1.12). The corresponding adjusted hazard ratio for all-cause mortality was 1.02 (95% confidence interval: 0.96, 1.09). Patterns were similar for CVD mortality in NHS yet underpowered. Conclusions Among participants in the NHS and NHSII prospective cohorts who generally experience low exposure to aircraft noise, we did not find adverse associations of aircraft noise with CVD incidence, CVD mortality, or all-cause mortality.
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Affiliation(s)
- Stephanie T. Grady
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Charlotte Roscoe
- Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Daniel D. Nguyen
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | | | - Matthew Bozigar
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Trang VoPham
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Epidemiology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - JoAnn E. Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Sara D. Adar
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - John P. Forman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kathryn Rexrode
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jonathan I. Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Junenette L. Peters
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
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Osborne MT, Abohashem S, Naddaf N, Abbasi T, Zureigat H, Mezue K, Ghoneem A, Dar T, Cardeiro AJ, Mehta NN, Rajagopalan S, Fayad ZA, Tawakol A. The combined effect of air and transportation noise pollution on atherosclerotic inflammation and risk of cardiovascular disease events. J Nucl Cardiol 2023; 30:665-679. [PMID: 35915324 PMCID: PMC9889575 DOI: 10.1007/s12350-022-03003-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 03/18/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Air pollution and noise exposures individually associate with major adverse cardiovascular events (MACE) via a mechanism involving arterial inflammation (ArtI); however, their combined impact on ArtI and MACE remains unknown. We tested whether dual (vs. one or neither) exposure associates with greater ArtI and MACE risk and whether MACE risk is mediated via ArtI. METHODS Individuals (N = 474) without active cancer or known cardiovascular disease with clinical 18F-FDG-PET/CT imaging were followed for 5 years for MACE. ArtI was measured. Average air pollution (particulate matter ≤ 2.5 μm, PM2.5) and transportation noise exposure were determined at individual residences. Higher exposures were defined as noise > 55 dBA (World Health Organization cutoff) and PM2.5 ≥ sample median. RESULTS At baseline, 46%, 46%, and 8% were exposed to high levels of neither, one, or both pollutants; 39 experienced MACE over a median 4.1 years. Exposure to an increasing number of pollutants associated with higher ArtI (standardized β [95% CI: .195 [.052, .339], P = .008) and MACE (HR [95% CI]: 2.897 [1.818-4.615], P < .001). In path analysis, ArtI partially mediated the relationship between pollutant exposures and MACE (P < .05). CONCLUSION Air pollution and transportation noise exposures contribute incrementally to ArtI and MACE. The mechanism linking dual exposure to MACE involves ArtI.
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Affiliation(s)
- Michael T Osborne
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Yawkey 5E, Boston, MA, 02114-2750, USA
| | - Shady Abohashem
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Yawkey 5E, Boston, MA, 02114-2750, USA
| | - Nicki Naddaf
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
| | - Taimur Abbasi
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Yawkey 5E, Boston, MA, 02114-2750, USA
| | - Hadil Zureigat
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
| | - Kenechukwu Mezue
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Yawkey 5E, Boston, MA, 02114-2750, USA
| | - Ahmed Ghoneem
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
| | - Tawseef Dar
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Yawkey 5E, Boston, MA, 02114-2750, USA
| | - Alexander J Cardeiro
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA
| | - Nehal N Mehta
- National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20814, USA
| | - Sanjay Rajagopalan
- Department of Cardiovascular Medicine, Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA
| | - Zahi A Fayad
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA
| | - Ahmed Tawakol
- Cardiac Imaging Research Center, 165 Cambridge St, Suite 400, Boston, MA, 02114, USA.
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Yawkey 5E, Boston, MA, 02114-2750, USA.
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Lin JY, Cheng WJ, Wu CF, Chang TY. Associations of road traffic noise and its frequency spectrum with prevalent depression in Taichung, Taiwan. Front Public Health 2023; 11:1116345. [PMID: 36778576 PMCID: PMC9911801 DOI: 10.3389/fpubh.2023.1116345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/11/2023] [Indexed: 01/28/2023] Open
Abstract
Introduction Exposure to road traffic noise has been reported to be associated with depression in many epidemiological studies, but the association between noise frequency spectrum and depression remains unclear. This community-based study investigated the associations between road traffic noise exposure and its frequency components with prevalent depression. Methods A total of 3,191 residents living in Taichung who participated in the Taiwan Biobank between 2010 and 2017, were included as study participants. The land-use regression models were used to evaluate individual annual average values of A-weighted equivalent sound level over 24 h (Leq,24h) and particulate matter with an aerodynamic diameter <2.5 μm (PM2.5) using the geographic information system. Multiple logistic regression was applied to estimate the odds ratios (ORs) for depression after adjusting for potential risk factors and PM2.5. Results An interquartile range increase in Leq,24h at full frequency (4.7 dBA), 1,000 Hz (5.2 dB), and 2,000 Hz (4.8 dB) was significantly associated with an elevated risk for depression with ORs of 1.62 (95% confidence interval [CI]: 1.03, 2.55), 1.58 (95% CI: 1.05, 2.37), and 1.58 (95% CI:1.03, 2.43), respectively, by controlling for PM2.5. The high-exposure group (≥3rd quartile median of noise levels) at full frequency, 1,000 Hz, and 2,000 Hz had an increased risk for depression with ORs of 2.65 (95% CI: 1.16-6.05), 2.47 (95% CI: 1.07-5.70), and 2.60 (95% CI: 1.10-6.12), respectively, compared with the reference group (<1st quartile of noise levels) after adjustment for PM2.5. Significant exposure-response trends were observed between the prevalent depression and noise exposure by quartiles at full frequency, 1,000 Hz, and 2,000 Hz (all p < 0.05). Conclusion Exposure to road traffic noise may be associated with an increased prevalence of depression, particularly at 1,000 and 2,000 Hz.
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Affiliation(s)
- Jia-Yi Lin
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan,Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
| | - Wan-Ju Cheng
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan,Department of Psychiatry, China Medical University Hospital, Taichung, Taiwan,National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli, Taiwan
| | - Chang-Fu Wu
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Ta-Yuan Chang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan,*Correspondence: Ta-Yuan Chang ✉
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Chen Z, Liu N, Tang H, Gao X, Zhang Y, Kan H, Deng F, Zhao B, Zeng X, Sun Y, Qian H, Liu W, Mo J, Zheng X, Huang C, Sun C, Zhao Z. Health effects of exposure to sulfur dioxide, nitrogen dioxide, ozone, and carbon monoxide between 1980 and 2019: A systematic review and meta-analysis. INDOOR AIR 2022; 32:e13170. [PMID: 36437665 DOI: 10.1111/ina.13170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/23/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
The burden of disease attributed to the indoor exposure to sulfur dioxide (SO2 ), nitrogen dioxide (NO2 ), ozone (O3 ), and carbon monoxide (CO) is not clear, and the quantitative concentration-response relationship is a prerequisite. This is a systematic review to summarize the quantitative concentration-response relationships by screening and analyzing the polled effects of population-based epidemiological studies. After collecting literature published between 1980 and 2019, a total of 19 health outcomes in 101 studies with 182 health risk estimates were recruited. By meta-analysis, the leave-one-out sensitivity analysis and Egger's test for publication bias, the robust and reliable effects were found for SO2 (per 10 μg/m3 ) with chronic obstructive pulmonary diseases (COPD) (pooled relative risks [RRs] 1.016, 95% CI: 1.012-1.021) and cardiovascular diseases (CVD) (RR 1.012, 95%CI: 007-1.018), respectively. NO2 (per 10 μg/m3 ) had the pooled RRs for childhood asthma, preterm birth, lung cancer, diabetes, and COPD by 1.134 (1.084-1.186), 1.079 (1.007-1.157), 1.055 (1.010-1.101), 1.019 (1.009-1.029), and 1.016 (1.012-1.120), respectively. CO (per 1 mg/m3 ) was significantly associated with Parkinson's disease (RR 1.574, 95% CI: 1.069-2.317) and CVD (RR 1.024, 95% CI: 1.011-1.038). No robust effects were observed for O3 . This study provided evidence and basis for further estimation of the health burden attributable to the four gaseous pollutants.
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Affiliation(s)
- Zhuoru Chen
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ningrui Liu
- Department of Building Science, Tsinghua University, Beijing, China
| | - Hao Tang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xuehuan Gao
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Furong Deng
- School of Public Health, Peking University, Beijing, China
| | - Bin Zhao
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiangang Zeng
- School of Environment and Natural Resources, Renmin University of China, Beijing, China
| | - Yuexia Sun
- School of Environmental Science and Engineering, Tianjin University, Tianjin, China
| | - Hua Qian
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China
| | - Jinhan Mo
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiaohong Zheng
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhuohui Zhao
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
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Relation between Noise Pollution and Life Satisfaction Based on the 2019 Chinese Social Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127015. [PMID: 35742262 PMCID: PMC9222309 DOI: 10.3390/ijerph19127015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/04/2022] [Accepted: 06/07/2022] [Indexed: 02/04/2023]
Abstract
Noise pollution is a leading cause of decreasing well-being of residents in both developed and developing countries. Improving residents’ well-being measured by life satisfaction is a key goal of government policy. Individuals with high life satisfaction usually have positive emotions, life orientation, and codes of conduct, which are positive and beneficial for individuals, families, and society as a whole. In order to supplement relevant research and provide policy suggestions for individuals, government, and societies, this study explores the relationship between noise pollution and the life satisfaction of Chinese residents. Based on data from 4869 observations from the Chinese Social Survey in 2019, the effect of noise pollution on life satisfaction is estimated by using ordinary least squares and propensity score matching methods. The results show that noise pollution has a significant negative effect on Chinese life satisfaction. Moreover, the effect is heterogeneous depending on individuals’ education levels and ages. Finally, residents’ living environment satisfaction is shown to be the potential mechanism by which noise pollution affects life satisfaction.
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Rabiei H, Ramezanifar S, Hassanipour S, Gharari N. Investigating the effects of occupational and environmental noise on cardiovascular diseases: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:62012-62029. [PMID: 34562216 DOI: 10.1007/s11356-021-16540-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
The present study aimed to use a meta-analysis to investigate the relationship between occupational and non-occupational noise exposure expressed in various studies with cardiovascular disease. This is a systematic review and meta-analysis study based on PRISMA checklist. In this study, the researchers searched five international databases of Medline/PubMed, Embase, Scopus, ISI/web of knowledge, and Google Scholar. Search keywords included two categories noise and noise pollution, cardiovascular disease, and hypertension. The Joanna Briggs Institute checklist was used to review and control the quality of the articles. After all screening stage 139 articles entered the final analysis. The results show that except for East African environmental studies and workplace studies in East Asia, Western Asia, and Northern Europe, there was a significant association between noise exposure and cardiovascular disease. Also, there was a significant difference between the intensity of sound and blood pressure in workers (OR = 1.28, CI 95%: 1.15-1.42, P < 0.001). Based on the results of environmental noise, there was a significant difference between ambient noise intensity and blood pressure (OR = 1.55, CI 95%: 1.53-1.57, P < 0.001). It can be concluded that it is very important to study and identify jobs or living environments with less than the recommended noise level and in addition to hearing aids that occur in over-standard exposures, such as cardiovascular disease.
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Affiliation(s)
- Hadiseh Rabiei
- Student Research Committee, Department of Occupational Health and Safety, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soleiman Ramezanifar
- Student Research Committee, Department of Occupational Health and Safety, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soheil Hassanipour
- Cardiovascular Diseases Research Center, Department of Cardiology, Heshmat Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Noradin Gharari
- Department of Occupational Health and Safety, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Hung SC, Cheng HY, Yang CC, Lin CI, Ho CK, Lee WH, Cheng FJ, Li CJ, Chuang HY. The Association of White Blood Cells and Air Pollutants-A Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18052370. [PMID: 33804362 PMCID: PMC7957746 DOI: 10.3390/ijerph18052370] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 02/21/2021] [Accepted: 02/24/2021] [Indexed: 01/02/2023]
Abstract
The links of air pollutants to health hazards have been revealed in literature and inflammation responses might play key roles in the processes of diseases. WBC count is one of the indexes of inflammation, however the l iterature reveals inconsistent opinions on the relationship between WBC counts and exposure to air pollutants. The goal of this population-based observational study was to examine the associations between multiple air pollutants and WBC counts. This study recruited community subjects from Kaohsiung city. WBC count, demographic and health hazard habit data were collected. Meanwhile, air pollutants data (SO2, NO2, CO, PM10, and O3) were also obtained. Both datasets were merged for statistical analysis. Single- and multiple-pollutants models were adopted for the analysis. A total of 10,140 adults (43.2% males; age range, 33~86 years old) were recruited. Effects of short-term ambient concentrations (within one week) of CO could increase counts of WBC, neutrophils, monocytes, and lymphocytes. However, SO2 could decrease counts of WBC, neutrophils, and monocytes. Gender, BMI, and smoking could also contribute to WBC count increases, though their effects are minor when compared to CO. Air pollutants, particularly SO2, NO2 and CO, may thus be related to alterations of WBC counts, and this would imply air pollution has an impact on human systematic inflammation.
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Affiliation(s)
- Shih-Chiang Hung
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung City 807, Taiwan; (S.-C.H.); (H.-Y.C.); (C.-K.H.)
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City 807, Taiwan; (W.-H.L.); (F.-J.C.); (C.-J.L.)
| | - Hsiao-Yuan Cheng
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung City 807, Taiwan; (S.-C.H.); (H.-Y.C.); (C.-K.H.)
| | - Chen-Cheng Yang
- Departments of Occupational Medicine and Family Medicine, Kaohsiung Municipal Siaogang Hospital and Kaohsiung Medical University, Kaohsiung City 807, Taiwan;
| | - Chia-I Lin
- Department of Occupational Medicine, Kaohsiung Municipal Ta-Tung Hospital and Kaohsiung Medical University, Kaohsiung City 807, Taiwan;
| | - Chi-Kung Ho
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung City 807, Taiwan; (S.-C.H.); (H.-Y.C.); (C.-K.H.)
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung City 807, Taiwan
| | - Wen-Huei Lee
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City 807, Taiwan; (W.-H.L.); (F.-J.C.); (C.-J.L.)
| | - Fu-Jen Cheng
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City 807, Taiwan; (W.-H.L.); (F.-J.C.); (C.-J.L.)
| | - Chao-Jui Li
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City 807, Taiwan; (W.-H.L.); (F.-J.C.); (C.-J.L.)
| | - Hung-Yi Chuang
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung City 807, Taiwan
- Department of Public Health and Environmental Medicine, College of Medicine, and Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
- Correspondence: ; Tel.: +886-7312-1101
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Rugel EJ, Brauer M. Quiet, clean, green, and active: A Navigation Guide systematic review of the impacts of spatially correlated urban exposures on a range of physical health outcomes. ENVIRONMENTAL RESEARCH 2020; 185:109388. [PMID: 32244108 DOI: 10.1016/j.envres.2020.109388] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 02/23/2020] [Accepted: 03/12/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Recent epidemiologic analyses have considered impacts of multiple spatially correlated urban exposures, but this literature has not been systematically evaluated. OBJECTIVES To characterize the long-term impacts of four distinct spatially correlated urban environmental exposures - traffic-related air pollution (TRAP), noise, natural spaces, and neighborhood walkability - by evaluating studies including measures of at least two such exposures in relationship to mortality, cardiovascular disease, chronic respiratory disease, allergy, type 2 diabetes, or reproductive outcomes. METHODS Following the Navigation Guide framework, the literature was searched for studies published since 2003 and meeting predefined inclusion criteria. Identified studies were scored individually for risk of bias and all studies related to an exposure-group set were appraised for overall quality and strength of evidence. RESULTS A total of 51 individual studies (TRAP and noise: n = 29; TRAP and natural spaces: n = 10; noise and natural spaces: n = 2; TRAP, noise, and natural spaces: n = 7; TRAP, noise, natural spaces, and walkability: n = 3) were included. When TRAP and noise were considered jointly, evidence was sufficient for increased cardiovascular morbidity with higher noise exposures; sufficient for no effect of TRAP on CVD morbidity; sufficient for increased mortality with higher TRAP exposures, but limited for noise; and limited for increased adverse reproductive outcomes with higher TRAP exposures and no effect of noise. Looking at natural spaces and TRAP, there was limited evidence for lower risk of chronic respiratory disease and small increases in birthweight with greater natural space; this relationship with birthweight persisted after adjustment for noise as well. Evidence was inadequate for all other exposure groups and outcomes. DISCUSSION Studies that properly account for the complexity of relationships between urban form and physical health are limited but suggest that even highly correlated exposures may have distinct effects. REVIEW REGISTRATION PROSPERO 2018 CRD42018106050.
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Affiliation(s)
- Emily Jessica Rugel
- School of Population and Public Health, University of British Columbia, 3rd Floor - 2206 East Mall, Vancouver, BC V6T1Z3, Canada
| | - Michael Brauer
- School of Population and Public Health, University of British Columbia, 3rd Floor - 2206 East Mall, Vancouver, BC V6T1Z3, Canada; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA 98121, USA.
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Shin S, Bai L, Oiamo TH, Burnett RT, Weichenthal S, Jerrett M, Kwong JC, Goldberg MS, Copes R, Kopp A, Chen H. Association Between Road Traffic Noise and Incidence of Diabetes Mellitus and Hypertension in Toronto, Canada: A Population-Based Cohort Study. J Am Heart Assoc 2020; 9:e013021. [PMID: 32146894 PMCID: PMC7335534 DOI: 10.1161/jaha.119.013021] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Background Exposure to road traffic noise has been linked to cardiometabolic complications, such as elevated blood pressure and glucose dysregulation. However, epidemiologic evidence linking road traffic noise to diabetes mellitus and hypertension remains scarce. We examined associations between road traffic noise and the incidence of diabetes mellitus and hypertension in Toronto, Canada. Methods and Results Using the Ontario Population Health and Environment Cohort, we conducted a retrospective, population-based cohort study of long-term residents of Toronto, aged 35 to 100 years, who were registered for provincial publicly funded health insurance, and were without a history of hypertension (n=701 174) or diabetes mellitus (n=914 607). Road traffic noise exposure levels were assessed by the equivalent continuous A-weighted sound pressure level (dBA) for the 24-hour day and the equivalent continuous A-weighted sound pressure level for the night (11 pm-7am). Noise exposures were assigned to subjects according to their annual residential postal codes during the 15-year follow-up. We used random-effect Cox proportional hazards models adjusting for personal and area-level characteristics. From 2001 to 2015, each interquartile range increase in the equivalent continuous A-weighted sound pressure level (dBA) for the 24-hour day (10.0 dBA) was associated with an 8% increase in incident diabetes mellitus (95% CI, 1.07-1.09) and a 2% increase in hypertension (95% CI, 1.01-1.03). We obtained similar estimates with the equivalent continuous A-weighted sound pressure level for the night (11 pm-7am). These results were robust to all sensitivity analyses conducted, including further adjusting for traffic-related air pollutants (ultrafine particles and nitrogen dioxide). For both hypertension and diabetes mellitus, we observed stronger associations with the equivalent continuous A-weighted sound pressure level (dBA) for the 24-hour day among women and younger adults (aged <60 years). Conclusions Long-term exposure to road traffic noise was associated with an increased incidence of diabetes mellitus and hypertension in Toronto.
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Affiliation(s)
- Saeha Shin
- Public Health Ontario Toronto Ontario Canada
| | - Li Bai
- ICES Toronto Ontario Canada
| | - Tor H Oiamo
- Department of Geography and Environmental Studies Ryerson University Toronto Ontario Canada
| | - Richard T Burnett
- Environmental Health Science and Research Bureau Population Studies Division Health Canada Ottawa Ontario Canada
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics, and Occupational Health and Gerald Bronfman Department of Oncology McGill University Montreal Québec Canada.,Air Health Science Division Health Canada Ottawa Ontario Canada
| | - Michael Jerrett
- Department of Environmental Health Sciences Fielding School of Public Health University of California Los Angeles CA
| | - Jeffrey C Kwong
- Public Health Ontario Toronto Ontario Canada.,ICES Toronto Ontario Canada.,Dalla Lana School of Public Health University of Toronto Ontario Canada.,Department of Family and Community Medicine University of Toronto Ontario Canada
| | - Mark S Goldberg
- Department of Medicine McGill University Montreal Québec Canada.,Centre for Outcomes Research and Evaluation Research Institute of the McGill University Health Centre Montreal Québec Canada
| | - Ray Copes
- Public Health Ontario Toronto Ontario Canada.,Dalla Lana School of Public Health University of Toronto Ontario Canada
| | | | - Hong Chen
- Public Health Ontario Toronto Ontario Canada.,ICES Toronto Ontario Canada.,Environmental Health Science and Research Bureau Population Studies Division Health Canada Ottawa Ontario Canada.,Dalla Lana School of Public Health University of Toronto Ontario Canada
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Environmental Noise-Induced Effects on Stress Hormones, Oxidative Stress, and Vascular Dysfunction: Key Factors in the Relationship between Cerebrocardiovascular and Psychological Disorders. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:4623109. [PMID: 31814877 PMCID: PMC6878772 DOI: 10.1155/2019/4623109] [Citation(s) in RCA: 100] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 08/20/2019] [Accepted: 08/27/2019] [Indexed: 12/14/2022]
Abstract
The role of noise as an environmental pollutant and its adverse effects on health are being increasingly recognized. Beyond its direct effects on the auditory system (e.g., hearing loss and tinnitus induced by exposure to high levels of noise), chronic low-level noise exposure causes mental stress associated with known cardiovascular complications. According to recent estimates of the World Health Organization, exposure to traffic noise is responsible for a loss of more than 1.5 million healthy life years per year in Western Europe alone, a major part being related to annoyance, cognitive impairment, and sleep disturbance. Underlying mechanisms of noise-induced mental stress are centered on increased stress hormone levels, blood pressure, and heart rate, which in turn favor the development of cerebrocardiovascular disease such as stroke, arterial hypertension, ischemic heart disease, and myocardial infarction. Furthermore, traffic noise exposure is also associated with mental health symptoms and psychological disorders such as depression and anxiety, which further increase maladaptive coping mechanisms (e.g., alcohol and tobacco use). From a molecular point of view, experimental studies suggest that traffic noise exposure can increase stress hormone levels, thereby triggering inflammatory and oxidative stress pathways by activation of the nicotinamide adenine dinucleotide phosphate oxidase, uncoupling of endothelial/neuronal nitric oxide synthase inducing endothelial and neuronal dysfunction. This review elucidates the mechanisms underlying the relationship between noise exposure and cerebrocardiovascular and psychological disorders, focusing on mental stress signaling pathways including activation of the autonomous nervous system and endocrine signaling and its association with inflammation, oxidative stress, and vascular dysfunction.
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