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Fazakas E, Neamtiu IA, Gurzau ES. Health effects of air pollutant mixtures (volatile organic compounds, particulate matter, sulfur and nitrogen oxides) - a review of the literature. REVIEWS ON ENVIRONMENTAL HEALTH 2024; 39:459-478. [PMID: 36932657 DOI: 10.1515/reveh-2022-0252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
The health risks associated with individual air pollutant exposures have been studied and documented, but in real-life, the population is exposed to a multitude of different substances, designated as mixtures. A body of literature on air pollutants indicated that the next step in air pollution research is investigating pollutant mixtures and their potential impacts on health, as a risk assessment of individual air pollutants may actually underestimate the overall risks. This review aims to synthesize the health effects related to air pollutant mixtures containing selected pollutants such as: volatile organic compounds, particulate matter, sulfur and nitrogen oxides. For this review, the PubMed database was used to search for articles published within the last decade, and we included studies assessing the associations between air pollutant mixtures and health effects. The literature search was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A number of 110 studies were included in the review from which data on pollutant mixtures, health effects, methods used, and primary results were extracted. Our review emphasized that there are a relatively small number of studies addressing the health effects of air pollutants as mixtures and there is a gap in knowledge regarding the health effects associated with these mixtures. Studying the health effects of air pollutant mixtures is challenging due to the complexity of components that mixtures may contain, and the possible interactions these different components may have.
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Affiliation(s)
- Emese Fazakas
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Faculty of Environmental Science and Engineering, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Iulia A Neamtiu
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Faculty of Environmental Science and Engineering, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Eugen S Gurzau
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Research Center for functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Sun B, Wu J, Li C, Li C, Hu Z, Wang R. Effects of different extreme cold exposure on heart rate variability. ERGONOMICS 2024; 67:1147-1163. [PMID: 37988319 DOI: 10.1080/00140139.2023.2286906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 11/18/2023] [Indexed: 11/23/2023]
Abstract
Frequent extreme cold events in recent years have brought serious threats to outdoor workers and rescuers. Changes in ambient temperature are associated with altered cardiac autonomic function. The study aims to investigate heart rate variability (HRV) and its relationship to other physiological parameters under extreme cold exposures. Twelve males underwent a 30-min preconditioning phase in a neutral environment followed by a 30-min cold exposure (-5, -10, -15, and -20 °C). Time-domain indexes(meanRR, SDNN, RMSSD, and pNN50), frequency domain indexes [Log(HF), Log(LF), and low frequency/high frequency (LF/HF)], parasympathetic nervous system (PNS), and sympathetic nervous system (SNS) were analysed. Results showed all HRV indexes of four cold exposures were significant. The decrease in temperature was accompanied by progressive PNS activation with SNS retraction. SDNN was the most sensitive HRV index and had good linear relationships with blood pressure, pulse, and hand temperature. The results are significant for formulating safety protection strategies for workers in extremely cold environments.Practitioner Summary: This study investigated heart rate variability (HRV) in 12 males during a 30-min cold exposure (-5, -10, -15, and -20 °C). Results showed all HRV indexes of four cold exposures were significant. The decrease in temperature was accompanied by progressive PNS activation with SNS retraction. SDNN was the most sensitive HRV index and had good linear relationships with blood pressure, pulse, and hand temperature.
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Affiliation(s)
- Boyang Sun
- School of Emergency Management & Safety Engineering, China University of Mining and Technology, Beijing, China
| | - Jiansong Wu
- School of Emergency Management & Safety Engineering, China University of Mining and Technology, Beijing, China
| | - Chuan Li
- School of Emergency Management & Safety Engineering, China University of Mining and Technology, Beijing, China
| | - Chenming Li
- System Engineering Institute, Beijing, China
| | - Zhuqiang Hu
- School of Emergency Management & Safety Engineering, China University of Mining and Technology, Beijing, China
| | - Ruotong Wang
- School of Emergency Management & Safety Engineering, China University of Mining and Technology, Beijing, China
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Xia X, Niu X, Chan K, Xu H, Shen Z, Cao JJ, Wu S, Qiu H, Ho KF. Effects of indoor air purification intervention on blood pressure, blood‑oxygen saturation, and heart rate variability: A double-blinded cross-over randomized controlled trial of healthy young adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 874:162516. [PMID: 36868269 DOI: 10.1016/j.scitotenv.2023.162516] [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: 11/19/2022] [Revised: 02/14/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
The use of indoor air purifier (IAP) has received growing attention as a mitigation strategy for reducing indoor air pollution, but the evidence on their cardiovascular benefits is unclear. This study aims to evaluate whether the use of IAP can reduce the adverse effects of indoor particulate matter (PM) on cardiovascular health among young healthy population. A randomized, double-blind, cross-over, IAP intervention of 38 college students was conducted. The participants were assigned into two groups to receive the true and sham IAPs for 36 h in random order. Systolic and diastolic blood pressure (SBP; DBP), blood oxygen saturation (SpO2), heart rate variability (HRV) and indoor size-fractioned particulate matter (PM) were real-time monitored throughout the intervention. We found that IAP could reduce indoor PM by 41.7-50.5 %. Using IAP was significantly associated with a reduction of 2.96 mmHg (95 % CI: -5.71, -0.20) in SBP. Increased PM was significantly associated with increased SBP (e.g., 2.17 mmHg [0.53, 3.81], 1.73 mmHg [0.32, 3.14] and 1.51 mmHg [0.28, 2.75] for an IQR increment of PM1 [16.7 μg/m3], PM2.5 [20.6 μg/m3] and PM10 [37.9 μg/m3] at lag 0-2 h, respectively) and decreased SpO2 (-0.44 % [-0.57, -0.29], -0.41 % [-0.53, -0.30] and - 0.40 % [-0.51, -0.30] for PM1, PM2.5 and PM10 at lag 0-1 h, respectively), which could last for about 2 h. Using IAPs could halve indoor PM levels, even in relatively low air pollution settings. The exposure-response relationships suggested that the benefits of IAPs on BP may only be observed when indoor PM exposure is reduced to a certain level.
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Affiliation(s)
- Xi Xia
- School of Public Health, Shaanxi University of Chinese Medicine, China
| | - Xinyi Niu
- School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, China.
| | - Kahung Chan
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Hongmei Xu
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, China
| | - ZhenXing Shen
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Jun-Ji Cao
- Key Laboratory of Aerosol Chemistry & Physics (KLACP), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - ShaoWei Wu
- School of Public Health, Xi'an Jiaotong University, China
| | - Hong Qiu
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong
| | - Kin-Fai Ho
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong.
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Zhang L, Fang B, Wang H, Zeng H, Wang N, Wang M, Wang X, Hao Y, Wang Q, Yang W. The role of systemic inflammation and oxidative stress in the association of particulate air pollution metal content and early cardiovascular damage: A panel study in healthy college students. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 323:121345. [PMID: 36841422 DOI: 10.1016/j.envpol.2023.121345] [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: 06/03/2022] [Revised: 02/22/2023] [Accepted: 02/22/2023] [Indexed: 06/18/2023]
Abstract
Exposure to fine particulate matter (PM2.5) has been associated with adverse cardiovascular outcomes. However, the effects of toxic metals in PM2.5 on cardiovascular health remain unknown. To investigate the early cardiovascular effects of specific PM2.5 metal constituents at the personal level, we conducted a panel study on 45 healthy college students in Caofeidian, China. Personal exposure concentrations and cardiovascular effect markers were monitored simultaneously within one year in four study periods. Four linear mixed-effects models were used to analyze the relationship between personal exposure to PM2.5 and 15 metal fractions (Al, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Mo, Cd, Sb, and Pb) with soluble CD36 (sCD36), C-reactive protein (CRP), and oxidized low-density lipoprotein (OX-LDL) levels, heart rate, and blood pressure. The concentrations of most individual metals (Mn, Cu, Zn, As, Se, Mo, Cd, Sb and Pb) were the highest in winter. Meanwhile, there were significant differences in inflammatory (sCD36 and CRP) and oxidative stress (OX-LDL) markers in the serum of participants over the four seasons. In particular, the estimated effects of personal metal exposure (such as V, As, Se, Cd, and Pb) on sCD36 and pulse pressure (PP) levels were consistently significant across the four LME models. A significant mediating role of sCD36 was also found in the relationship between personal exposure to Zn and Cr and changes in PP levels. Our findings provide clues and potential mechanisms regarding the cardiovascular effects of specific toxic constituents of PM2.5 in healthy young adults.
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Affiliation(s)
- Lei Zhang
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Bo Fang
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China; Affiliated Huaihe Hospital, Henan University, 115 Ximen Street, Kaifeng, 475000, Henan, China
| | - Haotian Wang
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China
| | - Hao Zeng
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China
| | - Nan Wang
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China
| | - ManMan Wang
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China
| | - Xuesheng Wang
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China; Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, 063210, Hebei, China
| | - Yulan Hao
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China
| | - Qian Wang
- School of Public Health, North China University of Science and Technology, Caofeidian, Tangshan, 063210, Hebei, China; Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, 063210, Hebei, China.
| | - Wenqi Yang
- Affiliated Hospital, North China University of Science and Technology, Tangshan, 063000, China
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Peng S, Lu T, Liu Y, Li Z, Liu F, Sun J, Chen M, Wang H, Xiang H. Short-term exposure to fine particulate matter and its constituents may affect renal function via oxidative stress: A longitudinal panel study. CHEMOSPHERE 2022; 293:133570. [PMID: 35007609 PMCID: PMC8976286 DOI: 10.1016/j.chemosphere.2022.133570] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/05/2022] [Accepted: 01/06/2022] [Indexed: 05/06/2023]
Abstract
Exposure to fine particulate matter (PM2.5) has been reported to increase the risks of chronic kidney disease. However, limited research has assessed the effect of PM2.5 and its constituents on renal function, and the underlying mechanism has not been well characterized. We aimed to evaluate the association of PM2.5 and its constituents with kidney indicators and to explore the roles of systematic oxidative stress and inflammation in the association. We conducted a longitudinal panel study among 35 healthy adults before-, intra- and after-the 2019 Wuhan Military World Games. We repeatedly measured 6 renal function parameters and 5 circulating biomarkers of oxidative stress and inflammation at 6 rounds of follow-ups. We monitored hourly personal PM2.5 concentrations with 3 consecutive days and measured 10 metals (metalloids) and 16 polycyclic aromatic hydrocarbons (PAHs) components. The linear mixed-effect models were applied to examine the association between PM2.5 and renal function parameters, and the mediation analysis was performed to explore potential bio-pathways. PM2.5 concentrations across Wuhan showed a slight decrease during the Military Games. We observed significant associations between elevated blood urea nitrogen (BUN) levels and PM2.5 and its several metals and PAHs components. For an interquartile range (IQR) increase of PM2.5, BUN increased 0.42 mmol/L (95% CI: 0.14 to 0.69). On average, an IQR higher of lead (Pb), cadmium (Cd), arsenic (As), selenium (Se), thallium (Tl) and Indeno (1,2,3-cd) pyrene (IPY) were associated with 0.90, 0.65, 0.29, 0.27, 0.26 and 0.90 mmol/L increment of BUN, respectively. Moreover, superoxide dismutase was positively associated with PM2.5 and mediated 18.24% association. Our research indicated that exposure to PM2.5 might affect renal function by activating oxidative stress pathways, in which the constituents of Pb, Cd, As, Se, Tl and IPY might contribute to the associations.
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Affiliation(s)
- Shouxin Peng
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Tianjun Lu
- Department of Earth Science and Geography, California State University Dominguez Hills, 1000 E. Victoria St, Carson, CA, 90747, USA
| | - Yisi Liu
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, 98105, USA
| | - Zhaoyuan Li
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Jinhui Sun
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Meijin Chen
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Huaiji Wang
- Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan, 430024, China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China.
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6
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Zhao L, Fang J, Tang S, Deng F, Liu X, Shen Y, Liu Y, Kong F, Du Y, Cui L, Shi W, Wang Y, Wang J, Zhang Y, Dong X, Gao Y, Dong L, Zhou H, Sun Q, Dong H, Peng X, Zhang Y, Cao M, Wang Y, Zhi H, Du H, Zhou J, Li T, Shi X. PM2.5 and Serum Metabolome and Insulin Resistance, Potential Mediation by the Gut Microbiome: A Population-Based Panel Study of Older Adults in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:27007. [PMID: 35157499 PMCID: PMC8843086 DOI: 10.1289/ehp9688] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 12/19/2021] [Accepted: 01/03/2022] [Indexed: 05/19/2023]
Abstract
BACKGROUND Insulin resistance (IR) affects the development of type 2 diabetes mellitus (T2DM), which is also influenced by accumulated fine particle air pollution [particulate matter (PM) with aerodynamic diameter of <2.5μm (PM2.5)] exposure. Previous experimental and epidemiological studies have proposed several potential mechanisms by which PM2.5 contributes to IR/T2DM, including inflammation imbalance, oxidative stress, and endothelial dysfunction. Recent evidence suggests that the imbalance of the gut microbiota affects the metabolic process and may precede IR. However, the underlying mechanisms of PM2.5, gut microbiota, and metabolic diseases are unclear. OBJECTIVES We investigated the associations between personal exposure to PM2.5 and fasting blood glucose and insulin levels, the IR index, and other related biomarkers. We also explored the potential underlying mechanisms (systemic inflammation and sphingolipid metabolism) between PM2.5 and insulin resistance and the mediating effects between PM2.5 and sphingolipid metabolism. METHODS We recruited 76 healthy seniors to participate in a repeated-measures panel study and conducted clinical examinations every month from September 2018 to January 2019. Linear mixed-effects (LME) models were used to analyze the associations between PM2.5 and health data (e.g., functional factors, the IR index, inflammation and other IR-related biomarkers, metabolites, and gut microbiota). We also performed mediation analyses to evaluate the effects of mediators (gut microbiota) on the associations between exposures (PM2.5) and featured metabolism outcomes. RESULTS Our prospective panel study illustrated that exposure to PM2.5 was associated with an increased risk of higher IR index and functional biomarkers, and our study provided mechanistic evidence suggesting that PM2.5 exposure may contribute to systemic inflammation and altered sphingolipid metabolism. DISCUSSION Our findings demonstrated that PM2.5 was associated with the genera of the gut microbiota, which partially mediated the association between PM2.5 and sphingolipid metabolism. These findings may extend our current understanding of the pathways of PM2.5 and IR. https://doi.org/10.1289/EHP9688.
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Affiliation(s)
- Liang Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Song Tang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fuchang Deng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaohui Liu
- National Protein Science Technology Center and School of Life Sciences, Tsinghua University, Beijing, China
| | - Yu Shen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fanling Kong
- Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yanjun Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liangliang Cui
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yan Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Jiaonan Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingjian Zhang
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xiaoyan Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Gao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huichan Zhou
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haoran Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiumiao Peng
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng Cao
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yanwen Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hong Zhi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jingyang Zhou
- Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, 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, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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Huang L, Cheng H, Ma S, He R, Gong J, Li G, An T. The exposures and health effects of benzene, toluene and naphthalene for Chinese chefs in multiple cooking styles of kitchens. ENVIRONMENT INTERNATIONAL 2021; 156:106721. [PMID: 34161905 DOI: 10.1016/j.envint.2021.106721] [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: 02/22/2021] [Revised: 06/12/2021] [Accepted: 06/14/2021] [Indexed: 06/13/2023]
Abstract
Commercial cooking has higher intensity and more severe instantaneous cooking pollution from volatile organic chemicals compared to home cooking, making health risk assessment of occupational exposure for chefs a priority. In this study, chefs from three cooking styles of kitchens, including steaming, frying, and grilling, were selected to investigate the external and internal exposures, health risks and effects of several typical aromatic hydrocarbons (benzene, toluene and naphthalene). Naphthalene was found to be the most concentrated contaminant in air samples among the different kitchens, while benzene had the lowest concentration. The concentration of toluene in frying kitchens was significantly higher than that in steaming kitchens. Air concentrations of toluene in frying kitchens, as well as benzene concentrations in grilling kitchens exceeded the standard level according to indoor air quality standard (GB/T18883-2002). Regarding the metabolites of pollutants in urine, the content of S-benzylmercapturic acids (S-BMA) for frying chefs was significantly higher than that for other cooking styles of chefs, which was consistent with the relatively higher air concentrations of toluene. There was a good correlation between internal and external exposure of the pollutants. The level of oxidative stress was influenced by 2-hydroxynaphthalene (2-OHN) and S-BMA, indicating the potential health risks of these occupational exposed chefs. This study indicates the need to improve the monitoring of typical aromatic hydrocarbons, as well as to investigate their potential health effects in large-scale groups, and improve the ventilation in kitchens.
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Affiliation(s)
- Lei Huang
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Haonan Cheng
- State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Shengtao Ma
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China
| | - Ruoying He
- State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jicheng Gong
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Guiying Li
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China
| | - Taicheng An
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China.
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8
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Li S, Lu S, Xu X, Zhao N, Li A, Xu L. How human mega-events influence urban airborne PM 2.5 pollution: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 281:117009. [PMID: 33813194 DOI: 10.1016/j.envpol.2021.117009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/11/2021] [Accepted: 03/22/2021] [Indexed: 06/12/2023]
Abstract
Air pollution caused by PM2.5 particles is a critical issue for public health that adversely affects people living in urban cities. Short-term Mega-events such as international meetings, sports tournaments, and traditional festivals can profoundly influence the local air quality. However, the extent of these influences and their role in improving or deteriorating the local air quality is still unclear. By collecting relative research from 75 publications based on more than 37 cities worldwide, we conducted a systematic review and meta-analysis. We calculated the log response ratio (RR) of the treatment (during) and control periods (before and after) of the Mega-events. The short-term policy control measures enacted during the Mega-Events consisting of meetings caused a significant decline (by -44.06%) in the ambient PM2.5 concentration. The mean daily PM2.5 concentration reduced from more than 100.00 μg/m3 before the events to 60.39 μg/m3, which is below the WHO (World Health Organization) interim target - 1 (75 μg/m3). On the contrary, setting off fireworks during the festival increased the ambient PM2.5 concentrations by 89.57% on average, with a mean daily value of 254.22 μg/m3. The variations in the effects of all event types on the air quality were primarily influenced by the background PM2.5 concentrations, with a negative correlation throughout. Moreover, the impact of events with policy control measures was also influenced by the year of the event, level of control, and location (suburban/urban) of the monitoring sites. Our findings provide evidence of the potential of human intervention on PM2.5 pollution reduction. We further highlight the crucial role of background pollution level in implementing policies during the Mega-events, which can benefit the environmental governance of developing countries.
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Affiliation(s)
- Shaoning Li
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China; Beijing Yanshan Forest Ecosystem Observation and Research Station, Beijing, 100093, China
| | - Shaowei Lu
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China; Beijing Yanshan Forest Ecosystem Observation and Research Station, Beijing, 100093, China
| | - Xiaotian Xu
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China; Beijing Yanshan Forest Ecosystem Observation and Research Station, Beijing, 100093, China.
| | - Na Zhao
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China; Beijing Yanshan Forest Ecosystem Observation and Research Station, Beijing, 100093, China
| | - Ai Li
- Shenyang Agricultural University, Shenyang, Liaoning, 110000, China
| | - Lan Xu
- Shenyang Agricultural University, Shenyang, Liaoning, 110000, China
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9
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He ZZ, Guo PY, Xu SL, Zhou Y, Jalaludin B, Leskinen A, Knibbs LD, Heinrich J, Morawska L, Yim SHL, Bui D, Komppula M, Roponen M, Hu L, Chen G, Zeng XW, Yu Y, Yang BY, Dong G. Associations of Particulate Matter Sizes and Chemical Constituents with Blood Lipids: A Panel Study in Guangzhou, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:5065-5075. [PMID: 33764049 DOI: 10.1021/acs.est.0c06974] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Existing evidence is scarce concerning the various effects of different PM sizes and chemical constituents on blood lipids. A panel study that involved 88 healthy college students with five repeated measurements (440 blood samples in total) was performed. We measured mass concentrations of particulate matter with diameters ≤ 2.5 μm (PM2.5), ≤1.0 μm (PM1.0), and ≤0.5 μm (PM0.5) as well as number concentrations of particulate matter with diameters ≤ 0.2 μm (PN0.2) and ≤0.1 μm (PN0.1). We applied linear mixed-effect models to assess the associations between short-term exposure to different PM size fractions and PM2.5 constituents and seven lipid metrics. We found significant associations of greater concentrations of PM in different size fractions within 5 days before blood collection with lower high-density lipoprotein cholesterol (HDL-C) and apolipoprotein A (ApoA1) levels, higher apolipoprotein B (ApoB) levels, and lower ApoA1/ApoB ratios. Among the PM2.5 constituents, we observed that higher concentrations of tin and lead were significantly associated with decreased HDL-C levels, and higher concentrations of nickel were associated with higher HDL-C levels. Our results suggest that short-term exposure to PM in different sizes was deleteriously associated with blood lipids. Some constituents, especially metals, might be the major contributors to the detrimental effects.
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Affiliation(s)
- Zhi-Zhou He
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Peng-Yue Guo
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shu-Li Xu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
| | - Bin Jalaludin
- Centre for Air Quality and Health Research and Evaluation, Glebe, NSW 2037, Australia
- Population Health, South Western Sydney Local Health District, Liverpool, NSW 2170, Australia
- Ingham Institute for Applied Medical Research, Liverpool, NSW 2170, Australia
- School of Public Health and Community Medicine, The University of New South Wales, Kensington, NSW 2052, Australia
| | - Ari Leskinen
- Finnish Meteorological Institute, Kuopio 70211, Finland
- Department of Applied Physics, University of Eastern Finland, Kuopio 70211, Finland
| | - Luke D Knibbs
- School of Public Health, The University of Queensland, Herston, Queensland 4006, Australia
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich 80336, Germany
- Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology (QUT), GP.O. Box 2434, Brisbane, Queensland 4001, Australia
| | - Steve Hung-Lam Yim
- Department of Geography and Resource Management, Stanley Ho Big Data Decision Analytics Research Centre, Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, China
| | - Dinh Bui
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Mika Komppula
- Finnish Meteorological Institute, Kuopio 70211, Finland
| | - Marjut Roponen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, FI 70211, Finland
| | - Liwen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
| | - Bo-Yi Yang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
| | - Guanghui Dong
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
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10
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Liang Y, Hu L, Li J, Liu F, Jones KC, Li D, Liu J, Chen D, You J, Yu Z, Zhang G, Dong G, Ma H. Short-term personal PM 2.5 exposure and change in DNA methylation of imprinted genes: Panel study of healthy young adults in Guangzhou city, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 275:116601. [PMID: 33549891 DOI: 10.1016/j.envpol.2021.116601] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/22/2021] [Accepted: 01/24/2021] [Indexed: 05/28/2023]
Abstract
DNA methylation (DNAm) plays a significant role in deleterious health effects inflicted by fine particulate matter (PM2.5) on the human body. Recent studies have reported that DNAm of imprinted control regions (ICRs) in imprinted genes may be a sensitive biomarker of environmental exposure. Less is known about specific biomarkers of imprinted genes after PM2.5 exposure. The relationship between PM2.5 and its chemical constituents and DNAm of ICRs in imprinted genes after short-term exposure was investigated to determine specific human biomarkers of its adverse health effects. A panel study was carried out in healthy young people in Guangzhou, China. Mixed-effects models were used to evaluate the influence of PM2.5 and its constituent exposure on DNAm while controlling for potential confounders. There was no significant correlation between DNAm and personal PM2.5 exposure mass. DNAm changes in eight ICRs (L3MBTL1, NNAT, PEG10, GNAS Ex1A, MCTS2, SNURF/SNRPN, IGF2R, and RB1) and a non-imprinted gene (CYP1B1) were significantly associated with PM2.5 constituents. Compared to non-imprinted genes, imprinted gene methylation was more susceptible to interference with PM2.5 constituent exposure. Among those genes, L3MBTL1 was the most sensitive to personal PM2.5 constituent exposure. Moreover, transition metals derived from traffic sources (Cd, Fe, Mn, and Ni) significantly influenced DNAm of the imprinted genes, suggesting the importance of more targeted measures to reduce toxic constituents. Bioinformatics analysis indicated that imprinted genes (RB1) may be correlated with pathways and diseases (non-small cell lung cancer, glioma, and bladder cancer). The present study suggests that screening the imprinted gene for DNAm can be used as a sensitive biomarker of PM2.5 exposure. The results will provide data for prevention of PM2.5 exposure and a novel perspective on potential mechanisms on an epigenetic level.
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Affiliation(s)
- Yaohui Liang
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Liwen Hu
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jun Li
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Fei Liu
- School of Business Administration, South China University of Technology, Guangzhou, 510641, China
| | - Kevin C Jones
- Lancaster Environmental Centre, Lancaster University, LA1 4YQ, Lancaster, United Kingdom
| | - Daochuan Li
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jing Liu
- Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Duohong Chen
- Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Jing You
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Guanghui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Huimin Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; Lancaster Environmental Centre, Lancaster University, LA1 4YQ, Lancaster, United Kingdom.
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11
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Wang F, Liang Q, Sun M, Ma Y, Lin L, Li T, Duan J, Sun Z. The relationship between exposure to PM 2.5 and heart rate variability in older adults: A systematic review and meta-analysis. CHEMOSPHERE 2020; 261:127635. [PMID: 32768749 DOI: 10.1016/j.chemosphere.2020.127635] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 06/28/2020] [Accepted: 07/05/2020] [Indexed: 06/11/2023]
Abstract
Ambient air pollution is recognized as a major threat to those with cardiovascular disease (CVD), especially among old adults within this high risk group. Heart rate variability (HRV) is a marker of cardiac autonomic system, which links air pollution and CVD. However, the relationship between PM and HRV has been inconsistently reported. To investigate the associations of PM2.5 and HRV in old adults whose average age was 55 years old or above, we conducted a meta-analysis of nineteen longitudinal studies including nine short-term and ten long-term studies. In the short-term exposure group, per 10 μg/m3 increase of PM2.5 was associated with decreases in the time-domain measurements, for SDNN -0.39% (95% CI: -0.72%, -0.06%) and for RMSSD -1.20% (95% CI: -2.17%, -0.23%) and in frequency-domain measurements, for LF -2.31% (95% CI: -3.85%, -0.77%) and for HF -1.87% (95% CI: -3.45%, -0.29%); In the long-term exposure group, per 10 μg/m3 increase of PM2.5 was associated with decreases in the time-domain measurements, for SDNN -0.92% (95% CI: -2.14%, 0.31%) and for RMSSD -1.96% (95% CI: -3.48%, -0.44%) and in frequency-domain measurements, for LF -2.78% (95% CI: -4.02%, -1.55%) and for HF -1.61% (95% CI: -4.02%, 0.80%). Exposure to PM2.5 is associated with decreased indicators of HRV in older adults suggesting an affected cardiac autonomic system upon exposure, which may explain the association between PM2.5 and risk of CVD in older adults. Long-term exposure to PM2.5 was more strongly associated with indicators of HRV than short-term exposure.
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Affiliation(s)
- Fenghong Wang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China
| | - Qingqing Liang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China
| | - Mengqi Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China
| | - Yuexiao Ma
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China
| | - Lisen Lin
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China
| | - Tianyu Li
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China.
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12
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Lung SCC, Chen N, Hwang JS, Hu SC, Wang WCV, Wen TYJ, Liu CH. Panel study using novel sensing devices to assess associations of PM 2.5 with heart rate variability and exposure sources. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:937-948. [PMID: 32753593 DOI: 10.1038/s41370-020-0254-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 07/06/2020] [Accepted: 07/23/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND/OBJECTIVE This work applied a newly developed low-cost sensing (LCS) device (AS-LUNG-P) and a certified medical LCS device (Rooti RX) to assessing PM2.5 impacts on heart rate variability (HRV) and determining important exposure sources, with less inconvenience to subjects. METHODS Observations using AS-LUNG-P were corrected by side-by-side comparison with GRIMM instruments. Thirty-six nonsmoking healthy subjects aged 20-65 years were wearing AS-LUNG-P and Rooti RX for 2-4 days in both Summer and Winter in Taiwan. RESULTS PM2.5 exposures were 12.6 ± 8.9 µg/m3. After adjusting for confounding factors using the general additive mixed model, the standard deviations of all normal to normal intervals reduced by 3.68% (95% confidence level (CI) = 3.06-4.29%) and the ratios of low-frequency power to high-frequency power increased by 3.86% (CI = 2.74-4.99%) for an IQR of 10.7 µg/m3 PM2.5, with impacts lasting for 4.5-5 h. The top three exposure sources were environmental tobacco smoke, incense burning, and cooking, contributing PM2.5 increase of 8.53, 5.85, and 3.52 µg/m3, respectively, during 30-min intervals. SIGNIFICANCE This is a pioneer in demonstrating application of novel LCS devices to assessing close-to-reality PM2.5 exposure and exposure-health relationships. Significant HRV changes were observed in healthy adults even at low PM2.5 levels.
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Affiliation(s)
- Shih-Chun Candice Lung
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
- Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan.
- Institute of Environmental Health, National Taiwan University, Taipei, Taiwan.
| | - Nathan Chen
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
| | | | - Shu-Chuan Hu
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
| | | | - Tzu-Yao Julia Wen
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
| | - Chun-Hu Liu
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
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13
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Shang J, Zhang Y, Schauer JJ, Tian J, Hua J, Han T, Fang D, An J. Associations between source-resolved PM 2.5 and airway inflammation at urban and rural locations in Beijing. ENVIRONMENT INTERNATIONAL 2020; 139:105635. [PMID: 32413647 DOI: 10.1016/j.envint.2020.105635] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 02/27/2020] [Accepted: 03/03/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND A large number of research studies have explored the health effects of exposure to atmospheric particulate matter. However, limited quantitative evidence has linked specific sources of personal PM2.5 directly to adverse health effects. This study was conducted in order to examine the association between airway inflammation and personal exposure to PM2.5 mass, components, and sources among two healthy cohorts living in both urban and rural areas of Beijing, China. METHODS We conducted a follow-up study during the summer of 2016 and the winter of 2016/2017 among 92 students and 43 guards. 24-h personal and ambient exposure to PM2.5 and fractional exhaled nitric oxide (FeNO) were measured at least twice for each participant. Chemical components of 385 personal PM2.5 exposure samples were analyzed, and pollution sources were resolved by a positive matrix factorization (PMF) receptor model. We have constructed linear mixed effect models to evaluate the association between ambient/personal PM2.5 mass, chemical constituents, and source specific PM2.5 with FeNO after controlling for temperature, relative humidity, sites, season, and potential individual confounders. RESULTS Interquartile range (IQR) increase in household heating sources was associated with increased FeNO (2.72%; 95% CI = 1.26-4.17%) across two sites. IQR increase in roadway transport was associated with increased FeNO (9.84%; 95% CI = 2.69-17%) in urban areas; IQR increase in Secondary inorganic sources and Industrial/Combustion sources were associated with increased FeNO (7.96%; 95% CI = 1.47-14.4%% and 7.85%; 95% CI = 0.0676-15.6%, respectively) in rural areas. Personal exposure to EC, OC, and some trace elements (Se, Pb, Bi, Cs) were also estimated to be significantly associated with the increase of FeNO. In addition, there was no significant difference (P > 0.05) between the effects of ambient and personal PM2.5 mass. CONCLUSIONS Although personal PM2.5 mass was not significantly associated with the health effects, airway inflammation can be linked to source-resolved exposures.
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Affiliation(s)
- Jing Shang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Yuanxun Zhang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen, China; Institute of Bishan Eco-Environment, Bishan, Chongqing, China.
| | - James J Schauer
- Wisconsin State Laboratory of Hygiene, University of Wisconsin-Madison, Madison, WI, USA
| | - Jingyu Tian
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Jinxi Hua
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Tingting Han
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing 100089, China
| | - Dongqing Fang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Meteorological Observation Center, China Meteoological Administration, Beijing, China
| | - Jianxiong An
- Department of Anesthesiology, Pain Medicine and Critical Care Medicine, Aviation General Hospital of China Medical University, Beijing, China
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14
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Morgan J, Bell R, Jones AL. Endogenous doesn't always mean innocuous: a scoping review of iron toxicity by inhalation. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART B, CRITICAL REVIEWS 2020; 23:107-136. [PMID: 32106786 DOI: 10.1080/10937404.2020.1731896] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Ambient air pollution is a leading risk factor for the global burden of disease. One possible pathway of particulate matter (PM)-induced toxicity is through iron (Fe), the most abundant metal in the atmosphere. The aim of the review was to consider the complexity of Fe-mediated toxicity following inhalation exposure focusing on the chemical and surface reactivity of Fe as a transition metal and possible pathways of toxicity via reactive oxygen species (ROS) generation as well as considerations of size, morphology, and source of PM. A broad term search of 4 databases identified 2189 journal articles and reports examining exposure to Fe via inhalation in the past 10 years. These were sequentially analyzed by title, abstract and full-text to identify 87 articles publishing results on the toxicity of Fe-containing PM by inhalation or instillation to the respiratory system. The remaining 87 papers were examined to summarize research dealing with in vitro, in vivo and epidemiological studies involving PM containing Fe or iron oxide following inhalation or instillation. The major findings from these investigations are summarized and tabulated. Epidemiological studies showed that exposure to Fe oxide is correlated with an increased incidence of cancer, cardiovascular diseases, and several respiratory diseases. Iron PM was found to induce inflammatory effects in vitro and in vivo and to translocate to remote locations including the brain following inhalation. A potential pathway for the PM-containing Fe-mediated toxicity by inhalation is via the generation of ROS which leads to lipid peroxidation and DNA and protein oxidation. Our recommendations include an expansion of epidemiological, in vivo and in vitro studies, integrating research improvements outlined in this review, such as the method of particle preparation, cell line type, and animal model, to enhance our understanding of the complex biological interactions of these particles.
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Affiliation(s)
- Jody Morgan
- Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
| | - Robin Bell
- School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Alison L Jones
- Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
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15
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Liu G, Xin J, Wang X, Si R, Ma Y, Wen T, Zhao L, Zhao D, Wang Y, Gao W. Impact of the coal banning zone on visibility in the Beijing-Tianjin-Hebei region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 692:402-410. [PMID: 31351284 DOI: 10.1016/j.scitotenv.2019.07.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 06/10/2019] [Accepted: 07/01/2019] [Indexed: 06/10/2023]
Abstract
The Beijing-Tianjin-Hebei (BTH) region, which has the most severe air pollution in China, built a 10,000 km2 coal banning zone for pollution control in 2017. In this study, to evaluate the impact of banning coal zone on visibility (VIS), a chemical composition analysis, a chemical mass closure and the revised IMPROVE algorithm were applied to estimate the chemical components and lighting extinction coefficients (bext) of the fine particulate matter (PM2.5) collected at three urban sites (Beijing (BJ), Tianjin (TJ) and Shijiazhuang (SJZ)) and a regional background site (Xinglong (XL)) during autumn and winter of 2016-2017. Compared to measurements from 2016, the average PM2.5 from 2017 decreased by 44 μg m-3 (BJ), 37 μg m-3 (TJ), 69 μg m-3 (SJZ) and 10 μg m-3 (XL), respectively, accompanied by an improved VIS (3.2-4.6 km). The degradation of VIS caused by atmospheric aerosol is due to the light extinction. The bext clearly decreased by 58%, 51%, 56% and 54% at BJ, TJ, SJZ and XL, respectively. However, the reductions/improvements were more significant in winter than those in autumn, especially at BJ and TJ located in the coal banning zone. The decline (improvement) in PM2.5 (VIS) was 16%-37% (15%-27%) in autumn but 29%-60% (21%-83%) in winter. The reductions in SO42- (Cl-) in winter were 2.8 (3.2) and 7.4 (16.4) times larger than those in autumn at BJ and TJ, respectively. Reductions in ammonium sulfate, one of the main species of PM2.5 caused by coal burning, were particularly pronounced at three urban sites in winter (59%-68%). In addition, the reductions in bext in winter were 2.3 (BJ), 339.4 (TJ), 1.9 (SJZ) and 0.4 (XL) times larger than those in autumn. The results reveal that banning coal zone has a marked effect on controlling pollution in the BTH, especially in winter (scattering aerosol sulfate).
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Affiliation(s)
- Guangjing Liu
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Jinyuan Xin
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China.
| | - Xin Wang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Ruirui Si
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yining Ma
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Tianxue Wen
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Lei Zhao
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Dandan Zhao
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wengkang Gao
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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16
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Cowell WJ, Brunst KJ, Malin AJ, Coull BA, Gennings C, Kloog I, Lipton L, Wright RO, Enlow MB, Wright RJ. Prenatal Exposure to PM2.5 and Cardiac Vagal Tone during Infancy: Findings from a Multiethnic Birth Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2019; 127:107007. [PMID: 31663780 PMCID: PMC6867319 DOI: 10.1289/ehp4434] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 09/19/2019] [Accepted: 09/19/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND The autonomic nervous system plays a key role in maintaining homeostasis and responding to external stimuli. In adults, exposure to fine particulate matter (PM2.5) has been associated with reduced heart rate variability (HRV), an indicator of cardiac autonomic control. OBJECTIVES Our goal was to investigate the associations of exposure to fine particulate matter (PM2.5) with HRV as an indicator of cardiac autonomic control during early development. METHODS We studied 237 maternal-infant pairs in a Boston-based birth cohort. We estimated daily residential PM2.5 using satellite data in combination with land-use regression predictors. In infants at 6 months of age, we measured parasympathetic nervous system (PNS) activity using continuous electrocardiogram monitoring during the Repeated Still-Face Paradigm, an experimental protocol designed to elicit autonomic reactivity in response to maternal interaction and disengagement. We used multivariable linear regression to examine average PM2.5 exposure across pregnancy in relation to PNS withdrawal and activation, indexed by changes in respiration-corrected respiratory sinus arrhythmia (RSAc)-an established metric of HRV that reflects cardiac vagal tone. We examined interactions with infant sex using cross-product terms. RESULTS In adjusted models we found that a 1-unit increase in PM2.5 (in micrograms per cubic meter) was associated with a 3.53% decrease in baseline RSAc (95% CI: -6.96, 0.02). In models examining RSAc change between episodes, higher PM2.5 was generally associated with reduced PNS withdrawal during stress and reduced PNS activation during recovery; however, these associations were not statistically significant. We did not observe a significant interaction between PM2.5 and sex. DISCUSSION Prenatal exposure to PM2.5 may disrupt cardiac vagal tone during infancy. Future research is needed to replicate these preliminary findings. https://doi.org/10.1289/EHP4434.
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Affiliation(s)
- Whitney J. Cowell
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kelly J. Brunst
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Ashley J. Malin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Brent A. Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Chris Gennings
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Lianna Lipton
- Department of Pediatrics, Kravis Children’s Hospital, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michelle Bosquet Enlow
- Department of Psychiatry, Boston Children’s Hospital, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Rosalind J. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Pediatrics, Kravis Children’s Hospital, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Lu Y, Lin S, Fatmi Z, Malashock D, Hussain MM, Siddique A, Carpenter DO, Lin Z, Khwaja HA. Assessing the association between fine particulate matter (PM 2.5) constituents and cardiovascular diseases in a mega-city of Pakistan. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 252:1412-1422. [PMID: 31260941 DOI: 10.1016/j.envpol.2019.06.078] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 06/19/2019] [Accepted: 06/19/2019] [Indexed: 06/09/2023]
Abstract
Concerning PM2.5 concentrations, rapid industrialization, along with increase in cardiovascular disease (CVD) were recorded in Pakistan, especially in urban areas. The degree to which air pollution contributes to the increase in the burden of CVD in Pakistan has not been assessed due to lack of data. This study aims to describe the characteristics of PM2.5 constituents and investigate the impact of individual PM2.5 constituent on cardiovascular morbidity in Karachi, a mega city in Pakistan. Daily levels of twenty-one constituents of PM2.5 were analyzed using samples collected at two sites from fall 2008 to summer 2009 in Karachi. Hospital admission and emergency room visits due to CVD were collected from two large hospitals. Negative Binominal Regression was used to estimate associations between pollutants and the risk of CVD. All PM2.5 constituents were assessed in single-pollutant models and selected constituents were assessed in multi-pollutant models adjusting for PM2.5 mass and gaseous pollutants. The most common CVD subtypes among our participants were ischemic heart disease, hypertension, heart failure, and cardiomyopathy. Extremely high levels of PM2.5 constituents from fossil-fuels combustion and industrial emissions were observed, with notable peaks in winter. The most consistent associations were found between exposure to nickel (5-14% increase per interquartile range) and cardiovascular hospital admissions. Suggestive evidence was also observed for associations between cardiovascular hospital admissions and Al, Fe, Ti, and nitrate. Our findings suggested that PM2.5 generated from fossil-fuels combustion and road dust resuspension were associated with the increased risk of CVD in Pakistan.
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Affiliation(s)
- Yi Lu
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Rensselaer, NY 12144, USA
| | - Shao Lin
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Rensselaer, NY 12144, USA; Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, 1 University Place, Rensselaer, NY 12144, USA
| | - Zafar Fatmi
- Environmental and Occupational Health & Injuries Unit, Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - Daniel Malashock
- Department of Environmental and Occupational Health, George Washington University Milken Institute School of Public Health, Washington DC, USA
| | - Mirza M Hussain
- Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - Azhar Siddique
- Department of Public Health, Ministry of Public Health, Doha, Qatar
| | - David O Carpenter
- Institute for the Health and the Environment, University at Albany, Albany, NY, USA
| | - Ziqiang Lin
- Department of Mathematics and Statistics, College of Arts and Sciences, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA; Department of Psychiatry, New York University Langone School of Medicine, One Park Ave, New York, NY 10016, USA
| | - Haider A Khwaja
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Rensselaer, NY 12144, USA; Wadsworth Center, New York State Department of Health, Albany, NY, USA.
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Lim YH, Bae HJ, Yi SM, Park E, Lee BE, Hong YC. Vascular and cardiac autonomic function and PM 2.5 constituents among the elderly: A longitudinal study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 607-608:847-854. [PMID: 28711846 DOI: 10.1016/j.scitotenv.2017.07.077] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 06/11/2017] [Accepted: 07/10/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND Although epidemiologic studies have shown an association between the total mass of particulate matter <2.5μm in aerodynamic diameter (PM2.5) and cardiovascular disease, few studies have examined PM2.5 constituents associated with vascular and cardiac autonomic dysfunction. METHODS In this longitudinal study, we investigated the relationship between PM2.5 constituents and blood pressure (BP), and markers of the autonomic nervous system. In 466 elderly subjects residing in communities in Seoul, Korea, we examined 16 constituents, seven sources, and total mass concentrations of PM2.5. We measured the BP, heart rate (HR), and indices of heart rate variability (HRV), such as the standard deviation of normal-to-normal intervals (SDNN), square root of the mean squared differences of successive NN intervals (rMSSD), and two frequency-domain variables (low frequency [LF] and high frequency [HF]). We used linear mixed effects models to assess the association of PM2.5 constituents and sources with cardiovascular markers. RESULTS BP, HR, and rMSSD were associated with concentration of total mass of PM2.5. For each increase of the interquartile range in PM2.5 constituents, systolic and diastolic BP, and HR increased by 2.1-3.3mmHg, 1.2-2.3mmHg, and 1.2-1.9bpm, respectively, while the rMSSD, LF, and HF decreased by 8.1-9.3%, 16.6%, and 20.4%, respectively. Particularly, elemental carbon, sulfate, ammonium, lead, and strontium in the PM2.5 constituents and emissions from oil combustion and incineration were associated with increased BP, HR, and decreased HRV. CONCLUSIONS Our results suggest an association between specific PM2.5 constituents and vascular and cardiac autonomic functions. These findings may provide supportive evidence for developing a pollution reduction plan to prevent cardiovascular diseases.
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Affiliation(s)
- Youn-Hee Lim
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea; Environmental Health Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Joo Bae
- Korea Environment Institute, Sejong, Republic of Korea
| | - Seung-Muk Yi
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - EunHa Park
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Bo-Eun Lee
- Department of Environmental Health Research, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Yun-Chul Hong
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea; Environmental Health Center, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
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19
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Wang BQ, Liu JF, Liu BW, Niu HH, Chen RH, Wang ZB, Zhao JJ, Ren ZH. Personal exposure to PM 2.5 associated with heavy metals in four travel modes of Tianjin during the summer season. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:6667-6678. [PMID: 28083745 DOI: 10.1007/s11356-016-8179-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 11/28/2016] [Indexed: 06/06/2023]
Abstract
Personal exposure to PM2.5 associated with heavy metals were investigated at and around the same road by cycling, walking, taxi and bus in Tianjin, China. One trip on each mode was undertaken during 4 h of both morning and evening peak hours. Results of one-way analysis of variance (ANOVA) to compare mean concentrations of PM2.5 and each metal measured by four modes, the enrichment level of heavy metals in four modes and the carcinogenic, non-carcinogenic risk and probabilistic estimation of health risks of metals (Cr, Ni, Cu, Zn and Pb). Arithmetic means of PM2.5 personal exposure were 323.66, 313.37, 214.84 and 160.71 μg/m3 for cycling, walking, bus and taxi, which resulted from the difference of source (vehicle exhaust and road dust) of exposure to PM2.5. Na has the highest concentration, followed by Al, Ca, K, Fe, Mg, Zn, Ni, Pb, Cu and Cr. The higher Na concentrations were observed in Tianjin in light of its major sea salt influence. The concentrations of Ca, Mg, Fe and Zn in four modes followed different orders, while other metals have no significant difference between four modes. Enrichment factors of metals in PM2.5 showed that some metals are enriched, ranging from contaminated to extremely contaminated, for example, Ni, Cu, Zn, Pb, Na and Cr. Others are barely enriched such as Ca, K, Mg and Fe. It illustrated the former is mainly effected by anthropogenic activates and the source of latter comes from crust. From the results of non-carcinogenic and carcinogenic risks of metals, the intake of metals with inhalation for 4 h by four modes did not pose a significant potential chronic-toxic risk and was an acceptable or tolerable risk at present. But uncertainty analysis of health risks showed there were 4.05 and 6.87% probability that make carcinogenic risk values to exceed 10-4 when male choose walking/cycling to work. Commuters' rush hour exposures were significantly influenced by mode of transport. We suggest that future work should focus on further research between heavy metals in PM2.5 exposure and its specific epidemiology effects.
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Affiliation(s)
- Bao Qing Wang
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
| | - Jian Feng Liu
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Bo Wei Liu
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Hong Hong Niu
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Rong Hui Chen
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Ze Bei Wang
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Jia Jia Zhao
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Zi Hui Ren
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
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20
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Wu S, Yang D, Pan L, Shan J, Li H, Wei H, Wang B, Huang J, Baccarelli AA, Shima M, Deng F, Guo X. Chemical constituents and sources of ambient particulate air pollution and biomarkers of endothelial function in a panel of healthy adults in Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 560-561:141-149. [PMID: 27101449 DOI: 10.1016/j.scitotenv.2016.03.228] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Revised: 03/22/2016] [Accepted: 03/30/2016] [Indexed: 06/05/2023]
Abstract
BACKGROUND Exposure to ambient air pollution has been associated with endothelial dysfunction as reflected by short-term alterations in circulating biomarkers, but the chemical constituents and pollution sources behind the association has been unclear. METHODS We investigated the associations between various ambient air pollutants including gases and 31 chemical constituents and seven sources of fine particles (PM2.5) and biomarkers of endothelial function, including endothelin-1 (ET-1), E-selectin, soluble intercellular adhesion molecule 1 (ICAM-1) and vascular cell adhesion molecule 1 (VCAM-1), based on 462 repeated measurements in a panel of 40 college students who were followed for three study periods before and after relocating from a suburban area to an urban area in Beijing, China in 2010-2011. Air pollution data were obtained from central air-monitoring stations. Linear mixed-effects models were used to estimate the changes in biomarkers associated with exposures. RESULTS Total PM2.5 mass showed few appreciable associations with examined biomarkers. However, several PM2.5 constituents and related sources showed significant associations with examined biomarkers. PM2.5 from dust/soil and several crustal and transition metals, including strontium, iron, titanium, cobalt and magnesium, were significantly associated with increases in ET-1 at 1-day average; manganese and potassium were significantly associated with increases in ICAM-1 at 2-day average; and PM2.5 from industry and metal cadmium were significantly associated with decreases in VCAM-1 at 1-day average. In addition, carbon monoxide was significantly associated with increasing ICAM-1 at 1-day and 2-day averages, whereas nitric oxide was significantly associated with decreasing ICAM-1 at 1-day and 3-day averages. CONCLUSIONS Our results suggest that certain PM2.5 metal constituents were more closely associated with circulating biomarkers of endothelial function than PM2.5, and therefore highlight the research necessity to examine pollution chemical constituents in future studies.
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Affiliation(s)
- Shaowei Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Di Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Lu Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Jiao Shan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Hongyu Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Hongying Wei
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Bin Wang
- Institute of Reproductive & Child Health, Peking University School of Public Health, Beijing, China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Andrea A Baccarelli
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Masayuki Shima
- Department of Public Health, Hyogo College of Medicine, Hyogo, Japan
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
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21
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Li S, Williams G, Guo Y. Health benefits from improved outdoor air quality and intervention in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2016; 214:17-25. [PMID: 27061471 DOI: 10.1016/j.envpol.2016.03.066] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 03/25/2016] [Indexed: 06/05/2023]
Abstract
China is at its most critical stage of outdoor air quality management. In order to prevent further deterioration of air quality and to protect human health, the Chinese government has made a series of attempts to reduce ambient air pollution. Unlike previous literature reviews on the widespread hazards of air pollution on health, this review article firstly summarized the existing evidence of human health benefits from intermittently improved outdoor air quality and intervention in China. Contents of this paper provide concrete and direct clue that improvement in outdoor air quality generates various health benefits in China, and confirm from a new perspective that it is worthwhile for China to shift its development strategy from economic growth to environmental economic sustainability. Greater emphasis on sustainable environment design, consistently strict regulatory enforcement, and specific monitoring actions should be regarded in China to decrease the health risks and to avoid long-term environmental threats.
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Affiliation(s)
- Shanshan Li
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia.
| | - Gail Williams
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Yuming Guo
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
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22
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Buteau S, Goldberg MS. A structured review of panel studies used to investigate associations between ambient air pollution and heart rate variability. ENVIRONMENTAL RESEARCH 2016; 148:207-247. [PMID: 27085495 DOI: 10.1016/j.envres.2016.03.013] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 03/04/2016] [Accepted: 03/08/2016] [Indexed: 05/25/2023]
Abstract
INTRODUCTION Dysfunction of the autonomic nervous system is one of the postulated pathways linking short-term exposure to air pollution to adverse cardiovascular outcomes. A hypothesis is that exposure to air pollution decreases heart rate variability, a recognized independent predictor of poorer cardiovascular prognosis. METHODS We conducted a structured review of panel studies published between 1946 and July 2015 of the association between ambient air pollution and parameters of heart rate variability reflecting autonomic nervous function. We focused on exposure to mass concentrations of fine particles (PM2.5), nitrogen dioxide (NO2), and ozone (O3), and four commonly used indices of heart rate variability (HRV): standard deviation of all normal-to-normal intervals (SDNN); root mean square of successive differences in adjacent normal-to-normal intervals (RMSSD); high frequency power (HF); and low frequency power (LF). We searched bibliographic databases and references of identified articles and abstracted characteristics of their design and conduct, and synthesized the quantitative findings in graphic form according to health condition of the study population and the functional form of the HRV indices used in the regression analyses. RESULTS A total of 33 panel studies were included: 31, 12, and 13 studies were used to investigate ambient exposure to PM2.5, NO2 and O3, respectively. We found substantial variation across studies in terms of design characteristics and statistical methodologies, and we identified some studies that may have had methodological and statistical issues. Because many panel studies were not comparable to each other, meta-analyses were not generally possible, although we were able to pool the results obtained amongst older adults who had cardiovascular disease for the 24-h average concentrations of PM2.5 prior to the heart rate variability measurements. In studies of PM2.5 among older adults with cardiovascular disease, logarithmic transformations of the HRV indices were used in ten studies. Negative associations across all HRV indices were found in 60-86% of these studies for periods of exposures ranging from 5-min to 5-days. The pooled percent changes for an increase of 10μg/m(3) in the 24-h prior to the measurements of HRV were: -2.11% for SDNN (95% confidence interval (95%CI): -4.00, -0.23%), -3.29% for RMSSD (95%CI: -6.32, -0.25%), -4.76% for LF (95%CI: -12.10, 2.58%), and -1.74% for HF (95%CI: -7.79, 4.31%). No transformations were used in seven studies of PM2.5 among older adults with cardiovascular disease, and we found for absolute differences pooled changes in the HRV indices, for an increase of 10μg/m(3), of -0.31ms for SDNN (95%CI: -1.02, 0.41ms) and -1.22ms for RMSSD (95%CI: -2.37; -0.07ms). For gaseous pollutants, negative associations over periods of exposure ranging from 5-min or to 5-days prior to the heart rate variability measurements were reported in 71-83% of studies of NO2 and 57-100% of studies of O3, depending of the indices of heart rate variability. However, many of these studies had statistical or methodological issues, and in the few studies without these issues the confidence intervals were relatively wide and mostly included the null. CONCLUSIONS AND DISCUSSION We were not persuaded by the results that there was an association between PM2.5 and any of the four indices of heart rate variability. For NO2 and O3 the number of high-quality studies was insufficient to draw any definite conclusions. Further panel studies with improved design and methodologies are needed to help establish or refute an association between ambient exposure to air pollution and heart rate variability.
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Affiliation(s)
- Stephane Buteau
- Department of Medicine, McGill University, Montreal, Quebec, Canada; Institut national de sante publique du Quebec (INSPQ), Montreal, Quebec, Canada.
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montreal, Quebec, Canada; Division of Clinical Epidemiology, McGill University Health Centre, Montreal, Quebec, Canada
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Abstract
In the United States (U.S.), cardiovascular disease (CVD) is a major leading cause of death. Despite the high mortality rate related to CVD, little is known about CVD risk factors among urban taxi drivers in the U.S. A cross-sectional design was used to identify the predictors of high cardiovascular risk factors among taxi drivers. Convenience sampling method was used to recruit 130 taxi drivers. A structured questionnaire was used to obtain the data. The sample was male (94 %), age mean (45 ± 10.75) years, married (54 %), born outside of the USA (55 %), had some college or below (61.5 %), night drivers (50.8 %), and driving on average 9.7 years and 41 h/week. About 79 % of them were eligible for CVD prevention, and 35.4 % had high CVD risk factors (4-9 risk factors). A CVD high-risk profile had a significant relationship with the subjects who were ≥55 years old; had hypertension, diabetes, or hyperlipidemia; were drinking alcohol ≥2 times/week; and had insufficient physical activity. Subjects who worked as a taxi driver for more than 10 years (OR 4.37; 95 % CI 1.82, 10.50) and had mental exertion from cab driving >5 out of 10 (OR 2.63; 95 % CI 1.05, 6.57) were more likely to have a CVD high-risk profile. As a conclusion, system-level or worksite interventions include offering healthy food at taxi dispatching locations, creating a work culture of frequent walking breaks, and interventions focusing on smoking, physical activity, and weight management. Improving health insurance coverage for this group of workers is recommended.
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Affiliation(s)
- Rami Azmi Elshatarat
- Department of Medical and Surgical Nursing, College of Nursing, Taibah University, Medina, Saudi Arabia.
| | - Barbara J Burgel
- Department of Community Health Systems, School of Nursing, University of California, San Francisco, CA, USA
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Wu S, Wang B, Yang D, Wei H, Li H, Pan L, Huang J, Wang X, Qin Y, Zheng C, Shima M, Deng F, Guo X. Ambient particulate air pollution and circulating antioxidant enzymes: A repeated-measure study in healthy adults in Beijing, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2016; 208:16-24. [PMID: 26074023 DOI: 10.1016/j.envpol.2015.06.002] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 05/12/2015] [Accepted: 06/05/2015] [Indexed: 05/06/2023]
Abstract
The association of systemic antioxidant activity with ambient air pollution has been unclear. A panel of 40 healthy college students underwent repeated blood collection for 12 occasions under three exposure scenarios before and after relocating from a suburban area to an urban area in Beijing, China in 2010-2011. We measured various air pollutants including fine particles (PM2.5) and determined circulating levels of antioxidant enzymes extracellular superoxide dismutase (EC-SOD) and glutathione peroxidase 1 (GPX1) in the laboratory. An interquartile range increase of 63.4 μg/m(3) at 3-d PM2.5 moving average was associated with a 6.3% (95% CI: 0.6, 12.4) increase in EC-SOD and a 5.5% (95% CI: 1.3, 9.8) increase in GPX1. Several PM2.5 chemical constituents, including negative ions (nitrate and chloride) and metals (e.g., iron and strontium), were consistently associated with increases in EC-SOD and GPX1. Our results support activation of circulating antioxidant enzymes following exposure to particulate air pollution.
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Affiliation(s)
- Shaowei Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Bin Wang
- Institute of Reproductive & Child Health, Peking University School of Public Health, Beijing, China
| | - Di Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Hongying Wei
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Hongyu Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Lu Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Xin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Yu Qin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Chanjuan Zheng
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Masayuki Shima
- Department of Public Health, Hyogo College of Medicine, Hyogo, Japan
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
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25
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Wu S, Yang D, Wei H, Wang B, Huang J, Li H, Shima M, Deng F, Guo X. Association of chemical constituents and pollution sources of ambient fine particulate air pollution and biomarkers of oxidative stress associated with atherosclerosis: A panel study among young adults in Beijing, China. CHEMOSPHERE 2015; 135:347-353. [PMID: 25981523 DOI: 10.1016/j.chemosphere.2015.04.096] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 04/27/2015] [Accepted: 04/28/2015] [Indexed: 06/04/2023]
Abstract
Ambient particulate air pollution has been associated with increased oxidative stress and atherosclerosis, but the chemical constituents and pollution sources behind the association are unclear. We investigated the associations of various chemical constituents and pollution sources of ambient fine particles (PM2.5) with biomarkers of oxidative stress in a panel of 40 healthy university students. Study participants underwent repeated blood collections for 12 times before and after relocating from a suburban campus to an urban campus with high air pollution levels in Beijing, China. Air pollution data were obtained from central air-monitoring stations, and plasma levels of oxidized low-density lipoprotein (Ox-LDL) and soluble CD36 (sCD36) were determined in the laboratory (n=464). Linear mixed-effects models were used to estimate the changes in biomarkers in association with exposure variables. PM2.5 iron and nickel were positively associated with Ox-LDL (p<0.05). For each interquartile range increase in iron (1-day, 0.51 μg/m(3)) and nickel (2-day, 2.5 ng/m(3)), there were a 1.9% [95% confidence interval (CI): 0.2%, 3.7%] increase and a 1.8% (95% CI: 0.2%, 3.4%) increase in Ox-LDL, respectively. We also found that each interquartile range increase in calcium (1-day, 0.7 μg/m(3)) was associated with a 4.8% (95% CI: 0.7%, 9.1%) increase in sCD36. Among the pollution sources, PM2.5 from traffic emissions and coal combustion were suggestively and positively associated with Ox-LDL. Our findings suggest that a subset of metals in airborne particles may be the major air pollution components that contribute to the increased oxidative stress associated with atherosclerosis.
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Affiliation(s)
- Shaowei Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Di Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Hongying Wei
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Bin Wang
- Institute of Reproductive & Child Health, Peking University School of Public Health, Beijing, China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Hongyu Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Masayuki Shima
- Department of Public Health, Hyogo College of Medicine, Hyogo, Japan
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
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Hampel R, Peters A, Beelen R, Brunekreef B, Cyrys J, de Faire U, de Hoogh K, Fuks K, Hoffmann B, Hüls A, Imboden M, Jedynska A, Kooter I, Koenig W, Künzli N, Leander K, Magnusson P, Männistö S, Penell J, Pershagen G, Phuleria H, Probst-Hensch N, Pundt N, Schaffner E, Schikowski T, Sugiri D, Tiittanen P, Tsai MY, Wang M, Wolf K, Lanki T. Long-term effects of elemental composition of particulate matter on inflammatory blood markers in European cohorts. ENVIRONMENT INTERNATIONAL 2015; 82:76-84. [PMID: 26057255 DOI: 10.1016/j.envint.2015.05.008] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Revised: 05/20/2015] [Accepted: 05/21/2015] [Indexed: 05/13/2023]
Abstract
BACKGROUND Epidemiological studies have associated long-term exposure to ambient particulate matter with increased mortality from cardiovascular and respiratory disorders. Systemic inflammation is a plausible biological mechanism behind this association. However, it is unclear how the chemical composition of PM affects inflammatory responses. OBJECTIVES To investigate the association between long-term exposure to elemental components of PM and the inflammatory blood markers high-sensitivity C-reactive protein (hsCRP) and fibrinogen as part of the European ESCAPE and TRANSPHORM multi-center projects. METHODS In total, 21,558 hsCRP measurements and 17,428 fibrinogen measurements from cross-sections of five and four cohort studies were available, respectively. Residential long-term concentrations of particulate matter <10μm (PM10) and <2.5μm (PM2.5) in diameter and selected elemental components (copper, iron, potassium, nickel, sulfur, silicon, vanadium, zinc) were estimated based on land-use regression models. Associations between components and inflammatory markers were estimated using linear regression models for each cohort separately. Cohort-specific results were combined using random effects meta-analysis. As a sensitivity analysis the models were additionally adjusted for PM mass. RESULTS A 5ng/m(3) increase in PM2.5 copper and a 500ng/m(3) increase in PM10 iron were associated with a 6.3% [0.7; 12.3%] and 3.6% [0.3; 7.1%] increase in hsCRP, respectively. These associations between components and fibrinogen were slightly weaker. A 10ng/m(3) increase in PM2.5 zinc was associated with a 1.2% [0.1; 2.4%] increase in fibrinogen; confidence intervals widened when additionally adjusting for PM2.5. CONCLUSIONS Long-term exposure to transition metals within ambient particulate matter, originating from traffic and industry, may be related to chronic systemic inflammation providing a link to long-term health effects of particulate matter.
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Affiliation(s)
- Regina Hampel
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Josef Cyrys
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; ESC-Environmental Science Center, University of Augsburg, Augsburg, Germany
| | - Ulf de Faire
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kees de Hoogh
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Kateryna Fuks
- IUF Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Barbara Hoffmann
- Medical School, The Heinrich Heine University of Düsseldorf, Düsseldorf, Germany
| | - Anke Hüls
- IUF Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Aleksandra Jedynska
- The Netherlands Organisation for Applied Scientific Research, Utrecht, The Netherlands
| | - Ingeborg Kooter
- The Netherlands Organisation for Applied Scientific Research, Utrecht, The Netherlands
| | - Wolfgang Koenig
- Department of Internal Medicine II - Cardiology, University of Ulm Medical Center, Ulm, Germany; Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Nino Künzli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Patrik Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Satu Männistö
- Department of Chronic Disease Prevention, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Johanna Penell
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Harish Phuleria
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Noreen Pundt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany
| | - Emmanuel Schaffner
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Tamara Schikowski
- IUF Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Dorothea Sugiri
- IUF Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Pekka Tiittanen
- Department of Health Protection, National Institute for Health and Welfare (THL), Kuopio, Finland
| | - Ming-Yi Tsai
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Meng Wang
- Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Timo Lanki
- Department of Health Protection, National Institute for Health and Welfare (THL), Kuopio, Finland
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Feng Y, Huang X, Sun H, Liu C, Zhang B, Zhang Z, Sharma Tengur V, Chen W, Wu T, Yuan J, Zhang X. Framingham risk score modifies the effect of PM10 on heart rate variability. THE SCIENCE OF THE TOTAL ENVIRONMENT 2015; 523:146-151. [PMID: 25863505 DOI: 10.1016/j.scitotenv.2015.04.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Revised: 03/31/2015] [Accepted: 04/02/2015] [Indexed: 06/04/2023]
Abstract
Health conditions may greatly modify the association between particulate matter (PM) and heart rate variability (HRV), but whether the modification of PM effect by coronary artery disease (CAD) risk status depends on the PM levels remains unknown. We investigated the associations between personal exposures to PM with aerodynamic diameter of ≤10μm (PM10) and ≤2.5μm (PM2.5) and concurrent HRV, and whether the effect of PM on HRV was modified by Framingham risk score (FRS) in healthy subjects with different PM exposure levels. Personal exposures to PM10 and PM2.5 were measured for 24h in 152 volunteers of community residents who were free of cardiovascular disease in two cities (Zhuhai and Wuhan) that differ in air quality. Simultaneously, 24h HRV indices were obtained from 3-channel Holter monitor. FRS was calculated based on age, sex, lipid profiles, blood pressure, diabetes, and smoking status. Linear regression models were constructed after adjusting for potential confounders. We found significant decrease in total power (TP) and low power (LF) with increased PM10 concentrations (P for trend<0.05) in the high PM levels city (Wuhan) and total population, but not in the low PM levels city (Zhuhai). We also observed significant modification of FRS on PM10 effect in Wuhan. Interestingly, elevated PM10 was associated in a greater decreased HRV in the low FRS subgroup, but not in the high FRS subgroup. However, we did not find any significant main effects of PM2.5 or PM2.5-FRS interactions on HRV in city-specified or city-combined analyses. Overall, the findings indicate that individual coronary risk profiles may modulate the association between particulate air pollution and HRV in high PM exposure levels.
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Affiliation(s)
- Yingying Feng
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiji Huang
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huizhen Sun
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chuanyao Liu
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Bing Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhihong Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Vashish Sharma Tengur
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jing Yuan
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Mirowsky J, Gordon T. Noninvasive effects measurements for air pollution human studies: methods, analysis, and implications. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2015; 25:354-80. [PMID: 25605444 PMCID: PMC6659729 DOI: 10.1038/jes.2014.93] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Revised: 09/26/2014] [Accepted: 11/05/2014] [Indexed: 05/09/2023]
Abstract
Human exposure studies, compared with cell and animal models, are heavily relied upon to study the associations between health effects in humans and air pollutant inhalation. Human studies vary in exposure methodology, with some work conducted in controlled settings, whereas other studies are conducted in ambient environments. Human studies can also vary in the health metrics explored, as there exists a myriad of health effect end points commonly measured. In this review, we compiled mini reviews of the most commonly used noninvasive health effect end points that are suitable for panel studies of air pollution, broken into cardiovascular end points, respiratory end points, and biomarkers of effect from biological specimens. Pertinent information regarding each health end point and the suggested methods for mobile collection in the field are assessed. In addition, the clinical implications for each health end point are summarized, along with the factors identified that can modify each measurement. Finally, the important research findings regarding each health end point and air pollutant exposures were reviewed. It appeared that most of the adverse health effects end points explored were found to positively correlate with pollutant levels, although differences in study design, pollutants measured, and study population were found to influence the magnitude of these effects. Thus, this review is intended to act as a guide for researchers interested in conducting human exposure studies of air pollutants while in the field, although there can be a wider application for using these end points in many epidemiological study designs.
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Affiliation(s)
- Jaime Mirowsky
- Department of Environmental Medicine, New York University School of Medicine, Nelson Institute of Environmental Medicine, Tuxedo, New York, USA
| | - Terry Gordon
- Department of Environmental Medicine, New York University School of Medicine, Nelson Institute of Environmental Medicine, Tuxedo, New York, USA
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29
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Feng W, He X, Chen M, Deng S, Qiu G, Li X, Liu C, Li J, Deng Q, Huang S, Wang T, Dai X, Yang B, Yuan J, He M, Zhang X, Chen W, Kan H, Wu T. Urinary metals and heart rate variability: a cross-sectional study of urban adults in Wuhan, China. ENVIRONMENTAL HEALTH PERSPECTIVES 2015; 123:217-22. [PMID: 25356836 PMCID: PMC4348740 DOI: 10.1289/ehp.1307563] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Accepted: 10/28/2014] [Indexed: 05/03/2023]
Abstract
BACKGROUND Epidemiological studies have suggested an association between external estimates of exposure to metals in air particles and altered heart rate variability (HRV). However, studies on the association between internal assessments of metals exposure and HRV are limited. OBJECTIVES The purpose of this study was to examine the potential association between urinary metals and HRV among residents of an urban community in Wuhan, China. METHODS We performed a cross-sectional analysis of 23 urinary metals and 5-min HRV indices (SDNN, standard deviation of normal-to-normal intervals; r-MSSD, root mean square of successive differences in adjacent normal-to-normal intervals; LF, low frequency; HF, high frequency; TP, total power) using baseline data on 2,004 adult residents of Wuhan. RESULTS After adjusting for other metals, creatinine, and other covariates, natural log-transformed urine titanium concentration was positively associated with all HRV indices (all p < 0.05). Moreover, we estimated negative associations between cadmium and r-MSSD, LF, HF, and TP; between lead and r-MSSD, HF, and TP; and between iron, copper, and arsenic and HF, SDNN, and LF, respectively, based on models adjusted for other metals, creatinine, and covariates (all p < 0.10). Several associations differed according to cardiovascular disease risk factors. For example, negative associations between cadmium and r-MSSD were stronger among participants ≤ 52 years of age (vs. > 52), current smokers (vs. nonsmokers), body mass index < 25 kg/m2 (vs. ≥ 25), and among those who were not hypertensive. CONCLUSIONS Urine concentrations of several metals were associated with HRV parameters in our cross-sectional study population. These findings need replication in other studies with adequate sample sizes.
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Affiliation(s)
- Wei Feng
- Department of Occupational and Environmental Health, and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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30
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Wu S, Deng F, Hao Y, Wang X, Zheng C, Lv H, Lu X, Wei H, Huang J, Qin Y, Shima M, Guo X. Fine particulate matter, temperature, and lung function in healthy adults: findings from the HVNR study. CHEMOSPHERE 2014; 108:168-174. [PMID: 24548647 DOI: 10.1016/j.chemosphere.2014.01.032] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2013] [Revised: 12/06/2013] [Accepted: 01/05/2014] [Indexed: 06/03/2023]
Abstract
Both ambient particulate air pollution and temperature alterations have been associated with adverse human health effects, but the interactive effect of ambient particulate and temperature on human health remains uncertain. The present study investigated the effects of ambient particulate matter with an aerodynamic diameter⩽2.5 μm (PM2.5) and temperature on human lung function simultaneously in a panel of 21 healthy university students from the Healthy Volunteer Natural Relocation (HVNR) study in the context of suburban/urban air pollution in Beijing, China. Each study subject used an electronic diary meter to record peak expiratory flow (PEF) and forced expiratory volume in 1s (FEV1) twice a day for 6 months in three periods before and after relocating from a suburban area to an urban area with changing ambient PM2.5 and temperature levels in Beijing. Hourly-averaged environmental data were obtained from central air-monitoring sites. Exposure effects were estimated using generalized linear mixed models controlling for potential confounders. Study subjects provided 6494 daily measurements on PEF and 6460 daily measurements on FEV1 over the study. PM2.5 was associated with reductions in evening PEF and morning/evening FEV1 whereas temperature was associated with reductions in morning PEF. The estimated PM2.5 effects on evening PEF and morning/evening FEV1 in the presence of high temperature were generally stronger than those in the presence of low temperature, and the estimated temperature effects on morning/evening PEF and morning FEV1 in the presence of high PM2.5 were also generally stronger than those in the presence of low PM2.5. For example, there were a 2.47% (95% confidence interval: -4.24, -0.69) reduction and a 0.78% (95% confidence interval: -1.59, 0.03) reduction in evening PEF associated with an interquartile range increase (78.7 μg/m(3)) in PM2.5 at 4-d moving average in the presence of high temperature (⩾21.6 °C) and low temperature (<21.6 °C), respectively. Our findings suggest that ambient particulate and temperature may interact synergistically to cause adverse respiratory health effects.
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Affiliation(s)
- Shaowei Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Yu Hao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Xin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Chanjuan Zheng
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Haibo Lv
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Xiuling Lu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Hongying Wei
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Yu Qin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Masayuki Shima
- Department of Public Health, Hyogo College of Medicine, Hyogo, Japan
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
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Nyhan M, McNabola A, Misstear B. Comparison of particulate matter dose and acute heart rate variability response in cyclists, pedestrians, bus and train passengers. THE SCIENCE OF THE TOTAL ENVIRONMENT 2014; 468-469:821-31. [PMID: 24076503 DOI: 10.1016/j.scitotenv.2013.08.096] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2013] [Revised: 08/22/2013] [Accepted: 08/28/2013] [Indexed: 05/04/2023]
Abstract
Exposure to airborne particulate matter (PM) has been linked to cardiovascular morbidity and mortality. Heart rate variability (HRV) is a measure of the change in cardiac autonomic function, and consistent links between PM exposure and decreased HRV have been documented in studies. This study quantitatively assesses the acute relative variation of HRV with predicted PM dose in the lungs of commuters. Personal PM exposure, HR and HRV were monitored in 32 young healthy cyclists, pedestrians, bus and train passengers. Inhaled and lung deposited PM doses were determined using a numerical model of the human respiratory tract which accounted for varying ventilation rates between subjects and during commutes. Linear mixed models were used to examine air pollution dose and HRV response relationships in 122 commutes sampled. Elevated PM2.5 and PM10 inhaled and lung deposited doses were significantly (p<0.05) associated with decreased HRV indices. Percent declines in SDNN (standard deviation of normal RR intervals) relative to resting, due to an inter-quartile range increase in PM10 lung deposited dose were stronger in cyclists (-6.4%, 95% CI: -11.7, -1.3) and pedestrians (-5.8%, 95% CI: -11.3, -0.5), in comparison to bus (-3.2%, 95% CI: -6.4, -0.1) and train (-1.8%, -7.5, 3.8) passengers. A similar trend was observed in the case of PM2.5 lung deposited dose and results for rMSSD (the square root of the squared differences of successive normal RR intervals) followed similar trends to SDNN. Inhaled and lung deposited doses accounting for varying ventilation rates between modes, individuals and during commutes have been neglected in other studies relating PM to HRV. The findings here indicate that exercise whilst commuting has an influence on inhaled PM and PM lung deposited dose, and these were significantly associated with acute declines in HRV, especially in pedestrians and cyclists.
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Affiliation(s)
- Marguerite Nyhan
- Civil, Structural and Environmental Engineering Department, Trinity College Dublin, Ireland.
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Wu S, Deng F, Hao Y, Shima M, Wang X, Zheng C, Wei H, Lv H, Lu X, Huang J, Qin Y, Guo X. Chemical constituents of fine particulate air pollution and pulmonary function in healthy adults: the Healthy Volunteer Natural Relocation study. JOURNAL OF HAZARDOUS MATERIALS 2013; 260:183-191. [PMID: 23747477 DOI: 10.1016/j.jhazmat.2013.05.018] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2013] [Revised: 04/26/2013] [Accepted: 05/11/2013] [Indexed: 06/02/2023]
Abstract
The study examined the associations of 32 chemical constituents of particulate matter with an aerodynamic diameter ≤2.5 μm (PM₂.₅) with pulmonary function in a panel of 21 college students. Study subjects relocated from a suburban area to an urban area with changing ambient air pollution levels and contents in Beijing, China, and provided daily morning/evening peak expiratory flow (PEF) and forced expiratory volume in 1s (FEV₂₁) measurements over 6 months in three study periods. There were significant reductions in evening PEF and morning/evening FEV₂₁ associated with various air pollutants and PM₂.₅ constituents. Four PM₂.₅ constituents (copper, cadmium, arsenic and stannum) were found to be most consistently associated with the reductions in these pulmonary function measures. These findings provide clues for the respiratory effects of specific particulate chemical constituents in the context of urban air pollution.
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Affiliation(s)
- Shaowei Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
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Wu S, Deng F, Huang J, Wang H, Shima M, Wang X, Qin Y, Zheng C, Wei H, Hao Y, Lv H, Lu X, Guo X. Blood pressure changes and chemical constituents of particulate air pollution: results from the healthy volunteer natural relocation (HVNR) study. ENVIRONMENTAL HEALTH PERSPECTIVES 2013; 121:66-72. [PMID: 23086577 PMCID: PMC3546346 DOI: 10.1289/ehp.1104812] [Citation(s) in RCA: 103] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Accepted: 10/19/2012] [Indexed: 05/03/2023]
Abstract
BACKGROUND Elevated blood pressure (BP) has been associated with particulate matter (PM) air pollution, but associations with PM chemical constituents are still uncertain. OBJECTIVES We investigated associations of BP with various chemical constituents of fine PM (PM2.5) during 460 repeated visits among a panel of 39 university students. METHODS Resting BP was measured using standardized methods before and after the university students relocated from a suburban campus to an urban campus with different air pollution contents in Beijing, China. Air pollution data were obtained from central monitors close to student residences. We used mixed-effects models to estimate associations of various PM2.5 constituents with systolic BP (SBP), diastolic BP (DBP), and pulse pressure. RESULTS An interquartile range increase of 51.2 μg/m3 in PM2.5 was associated with a 1.08-mmHg (95% CI: 0.17, 1.99) increase in SBP and a 0.96-mmHg (95% CI: 0.31, 1.61) increase in DBP on the following day. A subset of PM2.5 constituents, including carbonaceous fractions (organic carbon and elemental carbon), ions (chloride and fluoride), and metals/metalloid elements (nickel, zinc, magnesium, lead, and arsenic), were found to have robust positive associations with different BP variables, though robust negative associations of manganese, chromium, and molybdenum with SBP or DBP also were observed. CONCLUSIONS Our results support relationships between specific PM2.5 constituents and BP. These findings have potential implications for the development of pollution abatement strategies that maximize public health benefits.
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Affiliation(s)
- Shaowei Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
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Wu S, Deng F, Liu Y, Shima M, Niu J, Huang Q, Guo X. Temperature, traffic-related air pollution, and heart rate variability in a panel of healthy adults. ENVIRONMENTAL RESEARCH 2013; 120:82-9. [PMID: 22995643 DOI: 10.1016/j.envres.2012.08.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2012] [Revised: 08/24/2012] [Accepted: 08/25/2012] [Indexed: 05/18/2023]
Abstract
BACKGROUND Both ambient temperature and air pollution have been associated with alterations in cardiac autonomic function, but the responsive patterns associated with temperature exposure and the interactive effects of temperature and air pollution remain largely unclear. OBJECTIVES We investigated the associations between personal temperature exposure and cardiac autonomic function as reflected by heart rate variability (HRV) in a panel of 14 healthy taxi drivers in the context of traffic-related air pollution. METHODS We collected real-time data on study subjects' in-car exposures to temperature and traffic-related air pollutants including particulate matter with an aerodynamic diameter ≤2.5 μm (PM(2.5)) and carbon monoxide (CO) and HRV indices during work time (8:30-21:00) on 48 sampling days in the warm season (May-September) and cold season (October-March). We applied mixed-effects models and loess models adjusting for potential confounders to examine the associations between temperature and HRV indices. RESULTS We found nonlinear relationships between temperature and HRV indices in both the warm and cold seasons. Linear regression stratified by temperature levels showed that increasing temperature levels were associated with declines in standard deviation of normal-to-normal intervals over different temperature strata and increases in low-frequency power and low-frequency:high-frequency ratio in higher temperature range (>25 °C). PM(2.5) and CO modified these associations to various extents. CONCLUSIONS Temperature was associated with alterations in cardiac autonomic function in healthy adults in the context of traffic-related air pollution.
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Affiliation(s)
- Shaowei Wu
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
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Wu S, Deng F, Wei H, Huang J, Wang H, Shima M, Wang X, Qin Y, Zheng C, Hao Y, Guo X. Chemical constituents of ambient particulate air pollution and biomarkers of inflammation, coagulation and homocysteine in healthy adults: a prospective panel study. Part Fibre Toxicol 2012; 9:49. [PMID: 23231781 PMCID: PMC3585865 DOI: 10.1186/1743-8977-9-49] [Citation(s) in RCA: 100] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2012] [Accepted: 12/09/2012] [Indexed: 11/16/2022] Open
Abstract
Background Ambient air pollution has been associated with activation of systemic inflammation and hypercoagulability and increased plasma homocysteine, but the chemical constituents behind the association are not well understood. We examined the relations of various chemical constituents of fine particles (PM2.5) and biomarkers of inflammation, coagulation and homocysteine in the context of traffic-related air pollution. Methods A panel of 40 healthy college students underwent biweekly blood collection for 12 times before and after their relocation from a suburban campus to an urban campus with changing air pollution contents in Beijing. Blood samples were measured for circulatory biomarkers of high-sensitivity C reactive protein (hs-CRP), tumor necrosis factor alpha (TNF-α), fibrinogen, plasminogen activator inhibitor type 1 (PAI-1), tissue-type plasminogen activator (t-PA), von Willebrand factor (vWF), soluble platelet selectin (sP-selectin), and total homocysteine (tHcy). Various air pollutants were measured in a central air-monitoring station in each campus and 32 PM2.5 chemical constituents were determined in the laboratory. We used three different mixed-effects models (single-constituent model, constituent-PM2.5 joint model and constituent residual model) controlling for potential confounders to estimate the effects of PM2.5 chemical constituents on circulatory biomarkers. Results We found consistent positive associations between the following biomarkers and PM2.5 chemical constituents across different models: TNF-α with secondary organic carbon, chloride, zinc, molybdenum and stannum; fibrinogen with magnesium, iron, titanium, cobalt and cadmium; PAI-1 with titanium, cobalt and manganese; t-PA with cadmium and selenium; vWF with aluminum. We also found consistent inverse associations of vWF with nitrate, chloride and sodium, and sP-selectin with manganese. Two positive associations of zinc with TNF-α and of cobalt with fibrinogen, and two inverse associations of nitrate with vWF, and of manganese with sP-selectin, were independent of the other constituents in two-constituent models using constituent residual data. We only found weak air pollution effects on hs-CRP and tHcy. Conclusions Our results provide clues for the potential roles that PM2.5 chemical constituents may play in the biological mechanisms through which air pollution may influence the cardiovascular system.
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Affiliation(s)
- Shaowei Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
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Knibbs LD, Morawska L. Traffic-related fine and ultrafine particle exposures of professional drivers and illness: an opportunity to better link exposure science and epidemiology to address an occupational hazard? ENVIRONMENT INTERNATIONAL 2012; 49:110-114. [PMID: 23010254 DOI: 10.1016/j.envint.2012.08.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2012] [Revised: 08/13/2012] [Accepted: 08/13/2012] [Indexed: 06/01/2023]
Abstract
Exposures to traffic-related air pollution (TRAP) can be particularly high in transport microenvironments (i.e. in and around vehicles) despite the short durations typically spent there. There is a mounting body of evidence that suggests that this is especially true for fine (<2.5 µm) and ultrafine (<100 nm, UF) particles. Professional drivers, who spend extended periods of time in transport microenvironments due to their job, may incur exposures markedly higher than already elevated non-occupational exposures. Numerous epidemiological studies have shown a raised incidence of adverse health outcomes among professional drivers, and exposure to TRAP has been suggested as one of the possible causal factors. Despite this, data describing the range and determinants of occupational exposures to fine and UF particles are largely conspicuous in their absence. Such information could strengthen attempts to define the aetiology of professional drivers' illnesses as it relates to traffic combustion-derived particles. In this article, we suggest that the drivers' occupational fine and UF particle exposures are an exemplar case where opportunities exist to better link exposure science and epidemiology in addressing questions of causality. The nature of the hazard is first introduced, followed by an overview of the health effects attributable to exposures typical of transport microenvironments. Basic determinants of exposure and reduction strategies are also described, and finally the state of knowledge is briefly summarised along with an outline of the main unanswered questions in the topic area.
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Affiliation(s)
- L D Knibbs
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Australia.
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