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Chen S, Liu D, Huang L, Guo C, Gao X, Xu Z, Yang Z, Chen Y, Li M, Yang J. Global associations between long-term exposure to PM 2.5 constituents and health: A systematic review and meta-analysis of cohort studies. JOURNAL OF HAZARDOUS MATERIALS 2024; 474:134715. [PMID: 38838524 DOI: 10.1016/j.jhazmat.2024.134715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 05/10/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
Existing studies on the most impactful component remain controversial, hindering the optimization of future air quality standards that concerns particle composition. We aimed to summarize the health risk associated with PM2.5 components and identify those components with the greatest health risk. We performed a meta-analysis to quantify the combined health effects of PM2.5 components, and used the meta-smoothing to produce the pooled concentration-response (C-R) curves. Out of 8954 initial articles, 80 cohort studies met the inclusion criteria, including a total of 198.08 million population. The pooled C-R curves demonstrated approximately J-shaped association between total mortality and exposure to BC, and NO3-, but U-shaped and inverted U-shaped relationship withSO42- and OC, respectively. In addition, this study found that exposure to various elements, including BC,SO42-NO3-, NH4+, Zn, Ni, and Si, were significantly associated with an increased risk of total mortality, with Ni presenting the largest estimate. And exposure to NO3-, Zn, and Si was positively associated with an increased risk of respiratory mortality, while exposure to BC, SO42-, and NO3- showed a positive association with risk of cardiovascular mortality. For health outcome of morbidity, BC was notably associated with a higher incidence of asthma, type 2 diabetes and stroke. Subgroup analysis revealed a higher susceptibility to PM2.5 components in Asia compared to Europe and North America, and females showed a higher vulnerability. Given the significant health effects of PM2.5 components, governments are advised to introduce them in regional monitoring and air quality control guidelines. ENVIRONMENTAL IMPLICATION: PM2.5 is a complex mixture of chemical components from various sources, and each component has unique physicochemical properties and uncertain toxicity, posing significant threat to public health. This study systematically reviewed cohort studies on the association between long-term exposure to 13 PM2.5 components and the risk of morbidity and mortality. And we applied the meta-smoothing approach to establish the pooled concentration-response associations between PM2.5 components and mortality globally. Our findings will provide strong support for PM2.5 components monitoring and the improvement of air quality-related regulations. This will aid in helping to enhance health intervention strategies and mitigating public exposure to detrimental particulate matter.
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Affiliation(s)
- Sujuan Chen
- The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, China; School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Di Liu
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Lin Huang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Cui Guo
- Department of Urban Planning and Design, Faculty of Architecture, the University of Hong Kong, Hong Kong SAR
| | - Xiaoke Gao
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Zhou Yang
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Yu Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Mengmeng Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun Yang
- The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, China; School of Public Health, Guangzhou Medical University, Guangzhou 511436, China.
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Li Z, Wang Y, Wu W, Zhao Y, Wang S, Wang P, Lin X, Gong Y, Wu Z, Li X, Sun J, Zhao N, Huang Y, Hu S, Zhang W. The relative contribution of PM 2.5 components to the obstructive ventilatory dysfunction-insights from a large ventilatory function examination of 305,022 workers in southern China. ENVIRONMENT INTERNATIONAL 2024; 187:108721. [PMID: 38718675 DOI: 10.1016/j.envint.2024.108721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/28/2024] [Accepted: 05/03/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND The new round of WHO/ILO Joint Estimates of the Work-related Burden of Disease assessment requires futher research to provide more evidence, especially on the health impact of ambient air pollution around the workplace. However, the evidence linking obstructive ventilatory dysfunction (OVD) to fine particulate matter (PM2.5) and its chemical components in workers is very limited. Evidence is even more scarce on the interactive effects between occupational factors and particle exposures. We aimed to fill these gaps based on a large ventilatory function examination of workers in southern China. METHODS We conducted a cross-sectional study among 363,788 workers in southern China in 2020. The annual average concentration of PM2.5 and its components were evaluated around the workplace through validated spatiotemporal models. We used mixed-effect models to evaluate the risk of OVD related to PM2.5 and its components. Results were further stratified by basic characteristics and occupational factors. FINDINGS Among the 305,022 workers, 119,936 were observed with OVD. We found for each interquartile range (IQR) increase in PM2.5 concentration, the risk of OVD increased by 27.8 (95 % confidence interval (CI): 26.5-29.2 %). The estimates were 10.9 % (95 %CI: 9.7-12.1 %), 15.8 % (95 %CI: 14.5-17.2 %), 2.6 % (95 %CI: 1.4-3.8 %), 17.1 % (95 %CI: 15.9-18.4 %), and 11 % (95 %CI: 9.9-12.2 %), respectively, for each IQR increment in sulfate, nitrate, ammonium salt, organic matter and black carbon. We observed greater effect estimates among females, younger workers, workers with a length of service of 24-45 months, and professional skill workers. Furthermore, it is particularly noteworthy that the noise-exposed workers, high-temperature-exposed workers, and less-dust-exposed workers were at a 5.7-68.2 % greater risk than others. INTERPRETATION PM2.5 and its components were significantly associated with an increased risk of OVD, with stronger links among certain vulnerable subgroups.
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Affiliation(s)
- Zhiqiang Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Ying Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yanjie Zhao
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shenghao Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Pengyu Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xian Lin
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yajun Gong
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Zhijia Wu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Xinyue Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Jie Sun
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Na Zhao
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Yongshun Huang
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
| | - Shijie Hu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
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Feng Y, Zhang W, Wei J, Jiang D, Tong S, Huang C, Xu Z, Wang X, Tao J, Li Z, Hu J, Zhang Y, Cheng J. Medium-term exposure to size-fractioned particulate matter and asthma exacerbations in China: A longitudinal study of asthmatics with poor medication adherence. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 274:116234. [PMID: 38503107 DOI: 10.1016/j.ecoenv.2024.116234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND Studies have shown that short- and long-term exposure to particulate matter (PM) can increase the risk of asthma morbidity and mortality. However, the effect of medium-term exposure remains unknown. We aim to examine the effect of medium-term exposure to size-fractioned PM on asthma exacerbations among asthmatics with poor medication adherence. METHODS We conducted a longitudinal study in China based on the National Mobile Asthma Management System Project that specifically and routinely followed asthma exacerbations in asthmatics with poor medication adherence from April 2017 to May 2019. High-resolution satellite remote-sensing data were used to estimate each participant's medium-term exposure (on average 90 days) to size-fractioned PM (PM1, PM2.5, and PM10) based on the residential address and the date of the follow-up when asthma exacerbations (e.g., hospitalizations and emergency room visits) occurred or the end of the follow-up. The Cox proportional hazards model was employed to examine the hazard ratio of asthma exacerbations associated with each PM after controlling for sex, age, BMI, education level, geographic region, and temperature. RESULTS Modelling results revealed nonlinear exposure-response associations of asthma exacerbations with medium-term exposure to PM1, PM2.5, and PM10. Specifically, for emergency room visits, we found an increased hazard ratio for PM1 above 22.8 µg/m3 (1.060, 95 % CI: 1.025-1.096, per 1 µg/m3 increase), PM2.5 above 38.2 µg/m3 (1.032, 95 % CI: 1.010-1.054), and PM10 above 78.6 µg/m3 (1.019, 95 % CI: 1.006-1.032). For hospitalizations, we also found an increased hazard ratio for PM1 above 20.3 µg/m3 (1.055, 95 % CI: 1.001-1.111) and PM2.5 above 39.2 µg/m3 (1.038, 95 % CI: 1.003-1.074). Furthermore, the effects of PM were greater for a longer exposure window (90-180 days) and among participants with a high BMI. CONCLUSION This study suggests that medium-term exposure to PM is associated with an increased risk of asthma exacerbations in asthmatics with poor medication adherence, with a higher risk from smaller PM.
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Affiliation(s)
- Yufan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Wenyi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Dingyuan Jiang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine, Beijing, China
| | - Shilu Tong
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Xiling Wang
- School of Public Health, Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
| | - Junwen Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Zhiwei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Jihong Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Yongming Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China.
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
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Hegelund ER, Mehta AJ, Andersen ZJ, Lim YH, Loft S, Brunekreef B, Hoek G, de Hoogh K, Mortensen LH. Air pollution and human health: a phenome-wide association study. BMJ Open 2024; 14:e081351. [PMID: 38423777 PMCID: PMC10910582 DOI: 10.1136/bmjopen-2023-081351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 02/19/2024] [Indexed: 03/02/2024] Open
Abstract
OBJECTIVES To explore the associations of long-term exposure to air pollution with onset of all human health conditions. DESIGN Prospective phenome-wide association study. SETTING Denmark. PARTICIPANTS All Danish residents aged ≥30 years on 1 January 2000 were included (N=3 323 612). After exclusion of individuals with missing geocoded residential addresses, 3 111 988 participants were available for the statistical analyses. MAIN OUTCOME MEASURE First registered diagnosis of every health condition according to the International Classification of Diseases, 10th revision, from 2000 to 2017. RESULTS Long-term exposure to fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were both positively associated with the onset of more than 700 health conditions (ie, >80% of the registered health conditions) after correction for multiple testing, while the remaining associations were inverse or insignificant. As regards the most common health conditions, PM2.5 and NO2 were strongest positively associated with chronic obstructive pulmonary disease (PM2.5: HR 1.06 (95% CI 1.05 to 1.07) per 1 IQR increase in exposure level; NO2: 1.14 (95% CI 1.12 to 1.15)), type 2 diabetes (PM2.5: 1.06 (95% CI 1.05 to 1.06); NO2: 1.12 (95% CI 1.10 to 1.13)) and ischaemic heart disease (PM2.5: 1.05 (95% CI 1.04 to 1.05); NO2: 1.11 (95% CI 1.09 to 1.12)). Furthermore, PM2.5 and NO2 were both positively associated with so far unexplored, but highly prevalent outcomes relevant to public health, including senile cataract, hearing loss and urinary tract infection. CONCLUSIONS The findings of this study suggest that air pollution has a more extensive impact on human health than previously known. However, as this study is the first of its kind to investigate the associations of long-term exposure to air pollution with onset of all human health conditions, further research is needed to replicate the study findings.
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Affiliation(s)
| | | | | | | | | | | | - Gerard Hoek
- Utrecht University, Utrecht, the Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
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Marsal A, Sauvain JJ, Thomas A, Lyon-Caen S, Borlaza LJS, Philippat C, Jaffrezo JL, Boudier A, Darfeuil S, Elazzouzi R, Lepeule J, Chartier R, Bayat S, Slama R, Siroux V, Uzu G. Effects of personal exposure to the oxidative potential of PM 2.5 on oxidative stress biomarkers in pregnant women. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 911:168475. [PMID: 37951259 DOI: 10.1016/j.scitotenv.2023.168475] [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: 06/29/2023] [Revised: 10/30/2023] [Accepted: 11/08/2023] [Indexed: 11/13/2023]
Abstract
Oxidative stress is a prominent pathway for the health effects associated with fine particulate matter (PM2.5) exposure. Oxidative potential (OP) of PM has been associated to several health endpoints, but studies on its impact on biomarkers of oxidative stress remains insufficient. 300 pregnant women from the SEPAGES cohort (France) carried personal PM2.5 samplers for a week and OP was measured using ascorbic acid (AA) and dithiothreitol (DTT) assays, and normalized by 1) PM2.5 mass (OPm) and 2) sampled air volume (OPv). A pool of three urine spots collected on the 7th day of PM sampling was analyzed for biomarkers, namely 8-hydroxy-2-deoxyguanosine (8-OHdG), malondialdehyde (MDA) and 8-isoprostaglandin-F2α (8-isoPGF2α). Associations were investigated using adjusted multiple linear regressions. OP effects were additionally investigated by stratifying by median PM2.5 concentration (14 μg m-3). In the main models, no association was observed with 8-isoPGF2α, nor MDA. An interquartile range (IQR) increase in OPmAA exposure was associated with increased 8-OHdG (percent change: 6.2 %; 95 % CI: 0.2 % to 12.6 %). In the stratified analysis, exposure to OPmAA was associated with 8-OHdG for participants exposed to low levels of PM2.5 (percent change: 11.4 %; 95 % CI: 3.3 % to 20.1 %), but not for those exposed to high levels (percent change: -1.0 %; 95 % CI: -10.6 % to 9.6 %). Associations for OPmDTT also followed a similar pattern (p-values for OPmAA-PM and OPmDTT-PM interaction terms were 0.12 and 0.11, respectively). Overall, our findings suggest that OPmAA may be associated with increased DNA oxidative damage. This association was not observed with PM2.5 mass concentration exposure. The effects of OPmAA in 8-OHdG tended to be stronger at lower (below median) vs. higher concentrations of PM2.5. Further epidemiological, toxicological and aerosol research are needed to further investigate the OPmAA effects on 8-OHdG and the potential modifying effect of PM mass concentration on this association.
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Affiliation(s)
- Anouk Marsal
- Univ. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France; Agence de l'environnement et de la Maîtrise de l'Energie, 20, avenue du Grésillé, BP 90406 49004 Angers Cedex 01, France
| | - Jean-Jacques Sauvain
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University Lausanne, Lausanne, Switzerland
| | - Aurélien Thomas
- Faculty Unit of Toxicology, CURML, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland; Unit of Forensic Toxicology and Chemistry, CURML, Lausanne and Geneva University Hospitals, Lausanne, Geneva, Switzerland
| | - Sarah Lyon-Caen
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | | | - Claire Philippat
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | - Jean-Luc Jaffrezo
- Univ. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France
| | - Anne Boudier
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France; Pediatric Department, CHU Grenoble Alpes, Grenoble, France
| | - Sophie Darfeuil
- Univ. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France
| | - Rhabira Elazzouzi
- Univ. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France
| | - Johanna Lepeule
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | | | - Sam Bayat
- Department of Pulmonology and Physiology, CHU Grenoble Alpes, Grenoble, France; Univ. Grenoble Alpes, Inserm UA07 STROBE Laboratory, Grenoble, France
| | - Rémy Slama
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | - Valérie Siroux
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | - Gaëlle Uzu
- Univ. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France.
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Wathanavasin W, Banjongjit A, Phannajit J, Eiam-Ong S, Susantitaphong P. Association of fine particulate matter (PM 2.5) exposure and chronic kidney disease outcomes: a systematic review and meta-analysis. Sci Rep 2024; 14:1048. [PMID: 38200164 PMCID: PMC10781728 DOI: 10.1038/s41598-024-51554-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/06/2024] [Indexed: 01/12/2024] Open
Abstract
Several studies have reported an increased risk of chronic kidney disease (CKD) outcomes after long-term exposure (more than 1 year) to particulate matter with an aerodynamic diameter of ≤ 2.5 µm (PM2.5). However, the conclusions remain inconsistent. Therefore, we conducted this meta-analysis to examine the association between long-term PM2.5 exposure and CKD outcomes. A literature search was conducted in PubMed, Scopus, Cochrane Central Register of Controlled trials, and Embase for relevant studies published until August 10, 2023. The main outcomes were incidence and prevalence of CKD as well as incidence of end-stage kidney disease (ESKD). The random-effect model meta-analyses were used to estimate the risk of each outcome among studies. Twenty two studies were identified, including 14 cohort studies, and 8 cross-sectional studies, with a total of 7,967,388 participants. This meta-analysis revealed that each 10 μg/m3 increment in PM2.5 was significantly associated with increased risks of both incidence and prevalence of CKD [adjusted odds ratio (OR) 1.31 (95% confidence interval (CI) 1.24 to 1.40), adjusted OR 1.31 (95% CI 1.03 to 1.67), respectively]. In addition, the relationship with ESKD incidence is suggestive of increased risk but not conclusive (adjusted OR 1.16; 95% CI 1.00 to 1.36). The incidence and prevalence of CKD outcomes had a consistent association across all subgroups and adjustment variables. Our study observed an association between long-term PM2.5 exposure and the risks of CKD. However, more dedicated studies are required to show causation that warrants urgent action on PM2.5 to mitigate the global burden of CKD.
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Affiliation(s)
- Wannasit Wathanavasin
- Nephrology Unit, Department of Medicine, Charoenkrung Pracharak Hospital, Bangkok Metropolitan Administration, Bangkok, Thailand
| | - Athiphat Banjongjit
- Nephrology Unit, Department of Medicine, Vichaiyut Hospital, Bangkok, Thailand
| | - Jeerath Phannajit
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Division of Clinical Epidemiology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Somchai Eiam-Ong
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Paweena Susantitaphong
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
- Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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7
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Kaspersen KA, Antonsen S, Horsdal HT, Kjerulff B, Brandt J, Geels C, Christensen JH, Frohn LM, Sabel CE, Dinh KM, Hertel O, Sigsgaard T, Pedersen CB, Erikstrup C. Exposure to air pollution and risk of respiratory tract infections in the adult Danish population-a nationwide study. Clin Microbiol Infect 2024; 30:122-129. [PMID: 37858866 DOI: 10.1016/j.cmi.2023.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 09/22/2023] [Accepted: 10/12/2023] [Indexed: 10/21/2023]
Abstract
OBJECTIVES The association between air pollution and risk of respiratory tract infection (RTI) in adults needs to be clarified in settings with low to moderate levels of air pollution. We investigated this in the Danish population between 2004 and 2016. METHODS We included 3 653 490 persons aged 18-64 years in a nested case-control study. Exposure was defined as the average daily concentration at the individual's residential address of CO, NOX, NO2, O3, SO2, NH3, PPM2.5, black carbon, organic carbon, mineral dust, sea salt, secondary inorganic aerosols, SO42-, NO3-, NH4+, secondary organic aerosols, PM2.5, and PM10 during a 3-month exposure window. RTIs were defined by hospitalization for RTIs. Incidence rate ratios (IRRs) and 95% CIs were estimated comparing highest with lowest decile of exposure using conditional logistic regression models. RESULTS In total, 188 439 incident cases of RTI were identified. Exposure to most air pollutants was positively associated with risk of RTI. For example, NO2 showed an IRR of 1.52 (CI: 1.48-1.55), and PM2.5 showed an IRR of 1.45 (CI: 1.40-1.50). In contrast, exposure to sea salt, PM10, NH3, and O3 was negatively associated with a risk of RTIs. DISCUSSION In this nationwide study comprising adults, exposure to air pollution was associated with risk of RTIs and subgroups hereof. Sea salt, PM10, NH3, and O3 may be proxies for rural areas, as the levels of these species in Denmark are higher near the western coastlines and/or in rural areas with fewer combustion sources.
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Affiliation(s)
- Kathrine A Kaspersen
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark.
| | - Sussie Antonsen
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus V, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Henriette T Horsdal
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus V, Denmark
| | - Bertram Kjerulff
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | | | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Clive E Sabel
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark; Health Research Institute, University of Canberra, Canberra, ACT, Australia
| | - Khoa M Dinh
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus N, Denmark
| | - Ole Hertel
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Torben Sigsgaard
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Carsten B Pedersen
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus V, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus C, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus C, Denmark
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8
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Singh D, Gupta I, Roy A. The association of asthma and air pollution: Evidence from India. ECONOMICS AND HUMAN BIOLOGY 2023; 51:101278. [PMID: 37544114 DOI: 10.1016/j.ehb.2023.101278] [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: 11/07/2022] [Revised: 05/24/2023] [Accepted: 07/15/2023] [Indexed: 08/08/2023]
Abstract
In the last two decades, air pollution has increased throughout India resulting in the deterioration of air quality. This paper estimates the prevalence of self-reported asthma in women aged 15-49 years and examines the link between outdoor air pollution and disease prevalence in India by combining satellite data on particulate matter (PM2.5) and the National Family Health Survey (NFHS-4), 2015-16. The results indicate that both indoor pollution as well as outdoor air pollution are important risk factors for asthma in women as both independently increase the probability of asthma among this group. Strategies around the prevention of asthma need to recognize the role of both indoor as well as outdoor air pollution. The other significant risk factors for asthma are smoking, second-hand smoking, type of diet and obesity.
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Affiliation(s)
- Damini Singh
- Centre for Economic Studies and Planning, Jawaharlal Nehru University, New Mehrauli Road, JNU Ring Road, New Delhi 110067, Delhi, India.
| | - Indrani Gupta
- Health Policy Research Unit, Institute of Economic Growth, University Enclave, North Delhi, 110007 Delhi, India
| | - Arjun Roy
- Health Policy Research Unit, Institute of Economic Growth, University Enclave, North Delhi, 110007 Delhi, India
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9
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Fiter RJ, Murphy LJ, Gong MN, Cleven KL. The impact of air pollution on asthma: clinical outcomes, current epidemiology, and health disparities. Expert Rev Respir Med 2023; 17:1237-1247. [PMID: 38247719 DOI: 10.1080/17476348.2024.2307545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
INTRODUCTION Air pollution has been shown to have a significant impact on morbidity and mortality of respiratory illnesses including asthma. AREAS COVERED Outdoor air pollution consists of a mixture of individual pollutants including vehicle traffic and industrial pollution. Studies have implicated an array of individual components of air pollution, with PM2.5, NO2, SO2, and ozone being the most classically described, and newer literature implicating other pollutants such as black carbon and volatile organic compounds. Epidemiological and cohort studies have described incidence and prevalence of pollution-related asthma and investigated both acute and chronic air pollution exposure as they relate to asthma outcomes. There is an increasing body of literature tying disparities in pollution exposure to clinical outcomes. In this narrative review, we assessed the published research investigating the association of pollution with asthma outcomes, focusing on the adult population and health care disparities. EXPERT OPINION Pollution has multiple deleterious effects on respiratory health but there is a lack of data on individualized pollution monitoring, making it difficult to establish a temporal relationship between exposure and symptoms, thereby limiting our understanding of safe exposure levels. Future research should focus on more personalized monitoring and treatment plans for mitigating exposure.
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Affiliation(s)
- Ryan J Fiter
- Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Lila J Murphy
- Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Krystal L Cleven
- Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
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10
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Yang X, Xu D, Wen B, Ji J, Zhang Z, Li L, Zhang S, Zhi H, Kong J, Wang C, Wang J, Ruan H, Zhang M, Wei L, Dong B, Wang Q. The mediating role of exhaled breath condensate metabolites in the effect of particulate matter on pulmonary function in schoolchildren: A crossover intervention study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165517. [PMID: 37459994 DOI: 10.1016/j.scitotenv.2023.165517] [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: 01/11/2023] [Revised: 07/06/2023] [Accepted: 07/11/2023] [Indexed: 07/27/2023]
Abstract
The role played by metabolites in exhaled breath condensate (EBC) in the effect of PM on schoolchildren's pulmonary function has received little attention. Accordingly, we examined whether metabolites in EBC mediated the effect of PM10, PM2.5, and PM1 on the pulmonary function of schoolchildren at a residential primary school who had received an air-cleaner cross-over intervention. Samples of EBC were collected from a total of 60 schoolchildren and subjected to metabolomics analysis. We found that the effect of PM on six pulmonary function indicators was mediated by the following nine lipid peroxidation-related and energy metabolism-related metabolites present in EBC: 4-hydroxynonenal, arachidoyl ethanolamide, dl-pyroglutamic acid, 5-deoxy-d-glucose, myristic acid, lauric acid, linoleic acid, l-proline, and palmitic acid. However, while all nine of these metabolites mediated the effects of PM on boys' pulmonary function, only 4-hydroxynonenal, arachidoyl ethanolamide, and dl-pyroglutamic acid mediated the effects of PM on girls' pulmonary function. Overall, our results show that (1) short-term exposure to PM affected the schoolchildren's pulmonary function by causing an imbalance between lipid peroxidation and glutathione-based antioxidant activity and by perturbing energy metabolism in respiratory system and (2) there was a sex-dependent antioxidant response to PM exposure, with boys being less resistant than girls.
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Affiliation(s)
- Xiaoyan Yang
- Key Laboratory of Environment and Human Health, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Dongqun Xu
- Key Laboratory of Environment and Human Health, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Department of Air Quality and Health Monitoring, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| | - Bo Wen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jian Ji
- Hazard Screening and Omic Platform, Analysis and Testing Center, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Zeyu Zhang
- Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Li Li
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Shaoping Zhang
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hong Zhi
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jian Kong
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chong Wang
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jun Wang
- Key Laboratory of Environment and Human Health, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hongjie Ruan
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ming Zhang
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Lan Wei
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Bin Dong
- Department of Air Quality and Health Monitoring, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qin Wang
- Key Laboratory of Environment and Human Health, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
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11
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Wang X, Ran S, Xia H, Shi H, Wu G, Zhang Z, Wang C, Cai M, Zhang J, Lin H. Ambient air pollution associated with incident asthma, subsequent cardiovascular disease and death: A trajectory analysis of a national cohort. JOURNAL OF HAZARDOUS MATERIALS 2023; 460:132372. [PMID: 37633014 DOI: 10.1016/j.jhazmat.2023.132372] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/17/2023] [Accepted: 08/21/2023] [Indexed: 08/28/2023]
Abstract
No previous study has examined the impact of air pollution on the cardiovascular disease (CVD) trajectory, especially among asthmatic subjects. Based on the UK Biobank cohort, we retrieved 292,227 adults free of asthma and CVD aged 37-73 years at recruitment (2006-2010). Annual mean concentrations of particulate matter (PM10 and PM2.5) and nitrogen oxides (NO2 and NOx) were assessed at each individual's addresses. We used multi-state models to estimate the associations of air pollution with the trajectory from healthy to incident asthma, subsequent CVD, and death. During a median follow-up of 11.7 years, a total of 6338 (2.2%) participants developed asthma, among which, 638 (10.1%) subsequently proceeded to CVD. We observed significant impacts of various air pollutants on the CVD dynamic transitions, with a more substantial effect of particulate matter pollutants than gaseous air pollutants. For example, the hazard ratios (95% confidence intervals) for per interquartile range increase in PM2.5 and PM10 were 1.28 (1.13, 1.44) and 1.27 (1.13, 1.43) for transitions from incident asthma to subsequent CVD. In conclusion, long-term air pollution exposure could affect the CVD trajectory. Distinguishing the effect of air pollutants on CVD transition stages has great significance for CVD health management and clinical prevention, especially among asthma patients.
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Affiliation(s)
- Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shanshan Ran
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hui Xia
- Center for Health Care, Longhua District, Shenzhen, China
| | - Hui Shi
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Gan Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Junguo Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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12
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Cho CI, Chen JJ, Chuang KJ, Chuang HC, Wang IJ, Chang TY. Associations of particulate matter, gaseous pollutants, and road traffic noise with the prevalence of asthma in children. CHEMOSPHERE 2023; 338:139523. [PMID: 37459931 DOI: 10.1016/j.chemosphere.2023.139523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/12/2023] [Accepted: 07/14/2023] [Indexed: 07/25/2023]
Abstract
The purposes of this study were to elucidate the associations between exposure to particulate matter, gaseous pollutants, and road traffic noise and asthma prevalence and to determine the interaction between exposure to multiple pollutants and asthma in children. A total of 3,246 children were recruited from 11 kindergartens in New Taipei City, Taiwan. Land use regression (LUR) was used to establish predictive models for estimating individual exposure levels of particulate matter, gaseous pollutants, and the 24 h A-weighted equivalent sound pressure level (LAeq,24). Multiple logistic regression was performed to test the associations between exposure to these environmental factors and asthma prevalence in children. Multiple-exposure models revealed that an interquartile-range (IQR) increase in PM2.5 (1.17 μg/m3) and PM10 (10.69 μg/m3) caused a 1.34-fold (95% confidence interval [CI] = 1.05-1.70) and 1.17-fold (95% CI = 1.01-1.36) increase in risk of asthma prevalence in children after adjusting for LAeq,24 and NO2. Co-exposure to PM2.5, LAeq,24, and O3, SO2, or CO, as well as co-exposure to PM10, LAeq,24, and CO produced similar findings. Only exposure to one IQR of SO2 (0.15 ppb) was observed a significant association (odds ratio = 1.16, 95% CI = 1.00-1.34) with the asthma prevalence in children after adjusting for PM10 and LAeq,24. Exposure to PM2.5, PM10, and SO2 may be associated with a higher asthma prevalence in children, while other gaseous pollutants and road traffic noise did not demonstrate significant associations. The interaction of exposure to air pollutants and road traffic noise on asthma prevalence in children was not observed in this study.
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Affiliation(s)
- Chih-I Cho
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan
| | - Jing-Jie Chen
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan
| | - Kai-Jen Chuang
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan; Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hsiao-Chi Chuang
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan; Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan; Cell Physiology and Molecular Image Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - I-Jen Wang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan; Department of Pediatrics, Taipei Hospital, Ministry of Health and Welfare, New Taipei City, Taiwan; Institute of Environmental and Occupational Health Sciences, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan.
| | - Ta-Yuan Chang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan.
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13
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Sharma R, Humphrey JL, Frueh L, Kinnee EJ, Sheffield PE, Clougherty JE. Neighborhood violence and socioeconomic deprivation influence associations between acute air pollution and temperature on childhood asthma in New York city. ENVIRONMENTAL RESEARCH 2023; 231:116235. [PMID: 37244495 PMCID: PMC10364588 DOI: 10.1016/j.envres.2023.116235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 05/29/2023]
Abstract
Ambient air pollution, temperature, and social stressor exposures are linked with asthma risk, with potential synergistic effects. We examined associations for acute pollution and temperature exposures, with modification by neighborhood violent crime and socioeconomic deprivation, on asthma morbidity among children aged 5-17 years year-round in New York City. Using conditional logistic regression in a time-stratified, case-crossover design, we quantified percent excess risk of asthma event per 10-unit increase in daily, residence-specific exposures to PM2.5, NO2, SO2, O3, and minimum daily temperature (Tmin). Data on 145,834 asthma cases presenting to NYC emergency departments from 2005 to 2011 were obtained from the New York Statewide Planning and Research Cooperative System (SPARCS). Residence- and day-specific spatiotemporal exposures were assigned using the NYC Community Air Survey (NYCCAS) spatial data and daily EPA pollution and NOAA weather data. Point-level NYPD violent crime data for 2009 (study midpoint) was aggregated, and Socioeconomic Deprivation Index (SDI) scores assigned, by census tract. Separate models were fit for each pollutant or temperature exposure for lag days 0-6, controlling for co-exposures and humidity, and mutually-adjusted interactions (modification) by quintile of violent crime and SDI were assessed. We observed stronger main effects for PM2.5 and SO2 in the cold season on lag day 1 [4.90% (95% CI: 3.77-6.04) and 8.57% (5.99-11.21), respectively]; Tmin in the cold season on lag day 0 [2.26% (1.25-3.28)]; and NO2 and O3 in the warm season on lag days 1 [7.86% (6.66-9.07)] and 2 [4.75% (3.53-5.97)], respectively. Violence and SDI modified the main effects in a non-linear manner; contrary to hypotheses, we found stronger associations in lower-violence and -deprivation quintiles. At very high stressor exposures, although asthma exacerbations were highly prevalent, pollution effects were less apparent-suggesting potential saturation effects in socio-environmental synergism.
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Affiliation(s)
- Rachit Sharma
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
| | - Jamie L Humphrey
- Center for Health Analytics, Media & Policy, RTI International, Research Triangle Park, NC, USA
| | - Lisa Frueh
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Ellen J Kinnee
- University Center for Social and Urban Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Perry E Sheffield
- Department of Environmental Medicine and Public Health, and Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jane E Clougherty
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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14
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Madronich S, Sulzberger B, Longstreth JD, Schikowski T, Andersen MPS, Solomon KR, Wilson SR. Changes in tropospheric air quality related to the protection of stratospheric ozone in a changing climate. Photochem Photobiol Sci 2023; 22:1129-1176. [PMID: 37310641 PMCID: PMC10262938 DOI: 10.1007/s43630-023-00369-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 01/13/2023] [Indexed: 06/14/2023]
Abstract
Ultraviolet (UV) radiation drives the net production of tropospheric ozone (O3) and a large fraction of particulate matter (PM) including sulfate, nitrate, and secondary organic aerosols. Ground-level O3 and PM are detrimental to human health, leading to several million premature deaths per year globally, and have adverse effects on plants and the yields of crops. The Montreal Protocol has prevented large increases in UV radiation that would have had major impacts on air quality. Future scenarios in which stratospheric O3 returns to 1980 values or even exceeds them (the so-called super-recovery) will tend to ameliorate urban ground-level O3 slightly but worsen it in rural areas. Furthermore, recovery of stratospheric O3 is expected to increase the amount of O3 transported into the troposphere by meteorological processes that are sensitive to climate change. UV radiation also generates hydroxyl radicals (OH) that control the amounts of many environmentally important chemicals in the atmosphere including some greenhouse gases, e.g., methane (CH4), and some short-lived ozone-depleting substances (ODSs). Recent modeling studies have shown that the increases in UV radiation associated with the depletion of stratospheric ozone over 1980-2020 have contributed a small increase (~ 3%) to the globally averaged concentrations of OH. Replacements for ODSs include chemicals that react with OH radicals, hence preventing the transport of these chemicals to the stratosphere. Some of these chemicals, e.g., hydrofluorocarbons that are currently being phased out, and hydrofluoroolefins now used increasingly, decompose into products whose fate in the environment warrants further investigation. One such product, trifluoroacetic acid (TFA), has no obvious pathway of degradation and might accumulate in some water bodies, but is unlikely to cause adverse effects out to 2100.
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Affiliation(s)
- S Madronich
- National Center for Atmospheric Research, Boulder, USA.
- USDA UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, USA.
| | - B Sulzberger
- Academic Guest after retirement from Eawag: Swiss Federal Institute of Aquatic Science and Technology, CH-8600, Duebendorf, Switzerland
| | - J D Longstreth
- The Institute for Global Risk Research, LLC, Bethesda, USA
| | - T Schikowski
- IUF-Leibniz Research Institute for Environmental Medicine, Dusseldorf, Germany
| | - M P Sulbæk Andersen
- Department of Chemistry and Biochemistry, California State University, Northridge, USA
| | - K R Solomon
- School of Environmental Sciences, University of Guelph, Guelph, Canada
| | - S R Wilson
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia.
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15
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Wang Y, Crowe M, Knibbs LD, Fuller-Tyszkiewicz M, Mygind L, Kerr JA, Wake M, Olsson CA, Enticott PG, Peters RL, Daraganova G, Mavoa S, Lycett K. Greenness modifies the association between ambient air pollution and cognitive function in Australian adolescents, but not in mid-life adults. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 324:121329. [PMID: 36822308 DOI: 10.1016/j.envpol.2023.121329] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/31/2023] [Accepted: 02/19/2023] [Indexed: 06/18/2023]
Abstract
UNLABELLED Exposure to ambient air pollution has been associated with reduced cognitive function in childhood and later life, with too few mid-life studies to draw conclusions. In contrast, residential greenness has been associated with enhanced cognitive function throughout the lifecourse. Here we examine the extent to which (1) ambient air pollution and residential greenness predict later cognitive function in adolescence and mid-life, and (2) greenness modifies air pollution-cognitive function associations. PARTICIPANTS 6220 adolescents (51% male) and 2623 mid-life adults (96% mothers) from the Longitudinal Study of Australian Children. MEASURES Exposures: Annual average particulate matter <2.5 μm (PM2.5), nitrogen dioxide (NO2) and greenness (Normalised Difference Vegetation Index) for residential addresses from validated land-use regression models over a 10-13-year period. OUTCOMES Cognitive function from CogState tests of attention, working memory and executive function, dichotomised into poorer (worst quartile) versus not poor. ANALYSES Adjusted mixed-effects generalised linear models with residential greenness assessed as an effect modifier (high vs. low divided at median). The annual mean for PM2.5 and NO2 across exposure windows was 6.3-6.8 μg/m3, and 5.5-7.1 ppb, respectively. For adolescents, an IQR increment of NO2 was associated with 19-24% increased odds of having poorer executive function across all time windows, while associations weren't observed between air pollution and other outcomes. For adults, high NO2 predicted poorer cognitive function across all outcomes, while high PM2.5 predicted poorer attention only. There was little evidence of associations between greenness and cognitive function in adjusted models for both generations. Interactions were found between residential greenness, air pollutants and cognitive function in adolescents, but not adults. The magnitude of effects was similar across generations and exposure windows. Findings highlight the potential benefits of cognitive health associated with the regulation of air pollution and urban planning strategies for increasing green spaces and vegetation.
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Affiliation(s)
- Yichao Wang
- Centre for Social and Early Emotional Development, School of Psychology, Deakin University, Geelong, VIC, 3220, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC, 3010, Australia; Population Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia.
| | - Mallery Crowe
- Centre for Social and Early Emotional Development, School of Psychology, Deakin University, Geelong, VIC, 3220, Australia
| | - Luke D Knibbs
- School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia; Public Health Unit, Sydney Local Health District, Camperdown, NSW, 2050, Australia
| | - Matthew Fuller-Tyszkiewicz
- Centre for Social and Early Emotional Development, School of Psychology, Deakin University, Geelong, VIC, 3220, Australia
| | - Lærke Mygind
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, VIC, 3125, Australia; Unit of Medical Psychology, University of Copenhagen, Copenhagen, 1353, Denmark; Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, The Capital Region of Denmark, Copenhagen, 2000, Denmark
| | - Jessica A Kerr
- Department of Paediatrics, University of Melbourne, Parkville, VIC, 3010, Australia; Population Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia; Department of Psychological Medicine, University of Otago Christchurch, New Zealand
| | - Melissa Wake
- Department of Paediatrics, University of Melbourne, Parkville, VIC, 3010, Australia; Population Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia; Liggins Institute, University of Auckland, New Zealand
| | - Craig A Olsson
- Centre for Social and Early Emotional Development, School of Psychology, Deakin University, Geelong, VIC, 3220, Australia; Population Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia; Psychological Sciences, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Peter G Enticott
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, VIC, 3125, Australia
| | - Rachel L Peters
- Department of Paediatrics, University of Melbourne, Parkville, VIC, 3010, Australia; Population Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
| | - Galina Daraganova
- Psychological Sciences, University of Melbourne, Parkville, VIC, 3010, Australia; Business Intelligence, South Eastern Melbourne Primary Health Network, Melbourne, VIC, 3202, Australia
| | - Suzanne Mavoa
- Population Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia; Environmental Public Health Branch, Environment Protection Authority Victoria, Melbourne, VIC, 3001, Australia; Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Kate Lycett
- Centre for Social and Early Emotional Development, School of Psychology, Deakin University, Geelong, VIC, 3220, Australia; Population Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
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16
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Marchetti P, Miotti J, Locatelli F, Antonicelli L, Baldacci S, Battaglia S, Bono R, Corsico A, Gariazzo C, Maio S, Murgia N, Pirina P, Silibello C, Stafoggia M, Torroni L, Viegi G, Verlato G, Marcon A. Long-term residential exposure to air pollution and risk of chronic respiratory diseases in Italy: The BIGEPI study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 884:163802. [PMID: 37127163 DOI: 10.1016/j.scitotenv.2023.163802] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/24/2023] [Accepted: 04/24/2023] [Indexed: 05/03/2023]
Abstract
Long-term exposure to air pollution has adverse respiratory health effects. We investigated the cross-sectional relationship between residential exposure to air pollutants and the risk of suffering from chronic respiratory diseases in some Italian cities. In the BIGEPI project, we harmonised questionnaire data from two population-based studies conducted in 2007-2014. By combining self-reported diagnoses, symptoms and medication use, we identified cases of rhinitis (n = 965), asthma (n = 328), chronic bronchitis/chronic obstructive pulmonary disease (CB/COPD, n = 469), and controls (n = 2380) belonging to 13 cohorts from 8 Italian cities (Pavia, Turin, Verona, Terni, Pisa, Ancona, Palermo, Sassari). We derived mean residential concentrations of fine particulate matter (PM10, PM2.5), nitrogen dioxide (NO2), and summer ozone (O3) for the period 2013-2015 using spatiotemporal models at a 1 km resolution. We fitted logistic regression models with controls as reference category, a random-intercept for cohort, and adjusting for sex, age, education, BMI, smoking, and climate. Mean ± SD exposures were 28.7 ± 6.0 μg/m3 (PM10), 20.1 ± 5.6 μg/m3 (PM2.5), 27.2 ± 9.7 μg/m3 (NO2), and 70.8 ± 4.2 μg/m3 (summer O3). The concentrations of PM10, PM2.5, and NO2 were higher in Northern Italian cities. We found associations between PM exposure and rhinitis (PM10: OR 1.62, 95%CI: 1.19-2.20 and PM2.5: OR 1.80, 95%CI: 1.16-2.81, per 10 μg/m3) and between NO2 exposure and CB/COPD (OR 1.22, 95%CI: 1.07-1.38 per 10 μg/m3), whereas asthma was not related to environmental exposures. Results remained consistent using different adjustment sets, including bi-pollutant models, and after excluding subjects who had changed residential address in the last 5 years. We found novel evidence of association between long-term PM exposure and increased risk of rhinitis, the chronic respiratory disease with the highest prevalence in the general population. Exposure to NO2, a pollutant characterised by strong oxidative properties, seems to affect mainly CB/COPD.
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Affiliation(s)
- Pierpaolo Marchetti
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Jessica Miotti
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Francesca Locatelli
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | | | - Sandra Baldacci
- Pulmonary Environmental Epidemiology Unit, CNR Institute of Clinical Physiology (IFC), Pisa, Italy
| | | | - Roberto Bono
- Department of Public Health and Pediatrics, University of Turin, Torino, Italy
| | - Angelo Corsico
- Respiratory Diseases Division, IRCCS Policlinico San Matteo Foundation, Pavia, Italy; Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy
| | - Claudio Gariazzo
- Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Roma, Italy
| | - Sara Maio
- Pulmonary Environmental Epidemiology Unit, CNR Institute of Clinical Physiology (IFC), Pisa, Italy
| | - Nicola Murgia
- Department of Environmental and Prevention Sciences, University of Ferrara, Italy
| | - Pietro Pirina
- Respiratory Unit, Sassari University, Sassari, Italy
| | | | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service ASL Roma 1, Roma, Italy
| | - Lorena Torroni
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Giovanni Viegi
- Pulmonary Environmental Epidemiology Unit, CNR Institute of Clinical Physiology (IFC), Pisa, Italy
| | - Giuseppe Verlato
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Alessandro Marcon
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
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Li D, Xie J, Wang L, Sun Y, Hu Y, Tian Y. Genetic susceptibility and lifestyle modify the association of long-term air pollution exposure on major depressive disorder: a prospective study in UK Biobank. BMC Med 2023; 21:67. [PMID: 36810050 PMCID: PMC9945634 DOI: 10.1186/s12916-023-02783-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 02/13/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND Evidence linking air pollution to major depressive disorder (MDD) remains sparse and results are heterogeneous. In addition, the evidence about the interaction and joint associations of genetic risk and lifestyle with air pollution on incident MDD risk remains unclear. We aimed to examine the association of various air pollutants with the risk of incident MDD and assessed whether genetic susceptibility and lifestyle influence the associations. METHODS This population-based prospective cohort study analyzed data collected between March 2006 and October 2010 from 354,897 participants aged 37 to 73 years from the UK Biobank. Annual average concentrations of PM2.5, PM10, NO2, and NOx were estimated using a Land Use Regression model. A lifestyle score was determined based on a combination of smoking, alcohol drinking, physical activity, television viewing time, sleep duration, and diet. A polygenic risk score (PRS) was defined using 17 MDD-associated genetic loci. RESULTS During a median follow-up of 9.7 years (3,427,084 person-years), 14,710 incident MDD events were ascertained. PM2.5 (HR: 1.16, 95% CI: 1.07-1.26; per 5 μg/m3) and NOx (HR: 1.02, 95% CI: 1.01-1.05; per 20 μg/m3) were associated with increased risk of MDD. There was a significant interaction between the genetic susceptibility and air pollution for MDD (P-interaction < 0.05). Compared with participants with low genetic risk and low air pollution, those with high genetic risk and high PM2.5 exposure had the highest risk of incident MDD (PM2.5: HR: 1.34, 95% CI: 1.23-1.46). We also observed an interaction between PM2.5 exposure and unhealthy lifestyle (P-interaction < 0.05). Participants with the least healthy lifestyle and high air pollution exposures had the highest MDD risk when compared to those with the most healthy lifestyle and low air pollution (PM2.5: HR: 2.22, 95% CI: 1.92-2.58; PM10: HR: 2.09, 95% CI: 1.78-2.45; NO2: HR: 2.11, 95% CI: 1.82-2.46; NOx: HR: 2.28, 95% CI: 1.97-2.64). CONCLUSIONS Long-term exposure to air pollution is associated with MDD risk. Identifying individuals with high genetic risk and developing healthy lifestyle for reducing the harm of air pollution to public mental health.
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Affiliation(s)
- Dankang Li
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China.,Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Junqing Xie
- Center for Statistics in Medicine, NDORMS, University of Oxford, The Botnar Research Centre, Oxford, UK
| | - Lulin Wang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China.,Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Yu Sun
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Beijing, 100191, China
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China. .,Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China.
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18
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Wang J, Li D, Ma Y, Tang L, Xie J, Hu Y, Tian Y. Long-term Exposure to Ambient Air Pollutants and Increased Risk of Pneumonia in the UK Biobank. Chest 2023:S0012-3692(23)00263-5. [PMID: 36801467 DOI: 10.1016/j.chest.2023.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 02/21/2023] Open
Abstract
BACKGROUND Short-term exposure to air pollution has been linked to pneumonia risk. However, evidence on the long-term effects of air pollution on pneumonia morbidity is scarce and inconsistent. We investigated the associations of long-term air pollutants exposure with pneumonia and explored the potential interactions with smoking. RESEARCH QUESTION Is long-term exposure to ambient air pollution associated with the risk of pneumonia, and does smoking modify the associations? STUDY DESIGN AND METHODS We analyzed data in 445,473 participants without pneumonia within 1 year before baseline from the UK Biobank. Annual average concentrations of particulate matter (particulate matter with a diameter < 2.5 μm [PM2.5] and particulate matter with a diameter < 10 μm [PM10]), nitrogen dioxide (NO2), and nitrogen oxides (NOx) were estimated using land-use regression models. Cox proportional hazards models were used to assess the associations between air pollutants and pneumonia incidence. Potential interactions between air pollution and smoking were examined on both additive and multiplicative scales. RESULTS The hazard ratios of pneumonia for each interquartile range increase in PM2.5, PM10, NO2, and NOx concentrations were 1.06 (95% CI, 1.04-1.08), 1.10 (95% CI, 1.08-1.12), 1.12 (95% CI, 1.10-1.15), and 1.06 (95% CI, 1.04-1.07), respectively. There were significant additive and multiplicative interactions between air pollution and smoking. Compared with never smokers with low air pollution exposure, ever smokers with high air pollution exposure had the highest pneumonia risk (PM2.5: HR, 1.78; 95% CI, 1.67-1.90; PM10: HR, 1.94; 95% CI, 1.82-2.06; NO2: HR, 2.06; 95% CI, 1.93-2.21; NOx: HR, 1.88; 95% CI, 1.76-2.00). The associations between air pollutants and pneumonia risk persisted in participants exposed to air pollutants concentrations meeting the European Union limits. INTERPRETATION Long-term exposure to air pollutants was associated with an increased risk of pneumonia, especially in smokers.
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Affiliation(s)
- Jianing Wang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dankang Li
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yudiyang Ma
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linxi Tang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junqing Xie
- Center for Statistics in Medicine, NDORMS, University of Oxford, The Botnar Research Centre, Oxford, England
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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19
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Madani NA, Carpenter DO. Patterns of Emergency Room Visits for Respiratory Diseases in New York State in Relation to Air Pollution, Poverty and Smoking. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3267. [PMID: 36833962 PMCID: PMC9966596 DOI: 10.3390/ijerph20043267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/30/2023] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
We have explored differences in rates of emergency room (ER) visits for respiratory diseases in the counties of New York State (NYS) in relation to levels of air pollution, poverty, and smoking. Air pollution information was derived from the National Emissions Inventory, which provides information on road, non-road, point, and non-point sources of 12 different air pollutants. This information is only available at the county level. Four types of respiratory diseases were considered: asthma, chronic obstructive pulmonary disease (COPD), acute lower respiratory diseases, and acute upper respiratory diseases. Asthma ER visits were elevated in counties with greater total air pollution. All forms of respiratory diseases were elevated in counties with a greater rate of poverty, although this may reflect the fact that poor people often use ERs for routine care. There was a very strong association between rates of smoking for COPD and acute lower respiratory diseases. There was an apparent negative association between smoking and asthma ER visits, but this must reflect the fact that smoking was much more common in upstate counties while asthma was more common in the New York City area, where air pollution is high. Air pollution was much greater in urban than in rural areas. Our evidence indicates that air pollution is the greatest risk factor for asthma attacks, whereas smoking is the greatest risk factor for chronic obstructive pulmonary disease (COPD) and lower respiratory disease. Poor people are more vulnerable to all forms of respiratory diseases.
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Affiliation(s)
- Najm Alsadat Madani
- Department of Environmental Health Science, School of Public Health, 1 University Place, University at Albany, Rensselaer, NY 12144, USA
- Institute for Health and the Environment, 5 University Place, University at Albany, Rensselaer, NY 12144, USA
| | - David O. Carpenter
- Department of Environmental Health Science, School of Public Health, 1 University Place, University at Albany, Rensselaer, NY 12144, USA
- Institute for Health and the Environment, 5 University Place, University at Albany, Rensselaer, NY 12144, USA
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20
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Li S, Wei J, Hu Y, Liu Y, Hu M, Shi Y, Xue Y, Liu M, Xie W, Guo X, Liu X. Long-term effect of intermediate particulate matter (PM 1-2.5) on incident asthma among middle-aged and elderly adults: A national population-based longitudinal study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160204. [PMID: 36403826 DOI: 10.1016/j.scitotenv.2022.160204] [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: 06/19/2022] [Revised: 10/25/2022] [Accepted: 11/11/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND There is insufficient evidence about the long-term effects of intermediate particulate matter (PM1-2.5) on asthma development in adults aged 45 years and above. This study aimed to investigate the relationship between long-term exposure to PM1-2.5 and the incidence of asthma in adults aged 45 years and above. METHODS A cohort study based on the China Health and Retirement Longitudinal Study (CHARLS) database was conducted to investigate the long-term effects of PM1-2.5 on self-reported asthma incidence in adults aged 45 years and above in China from 2011 to 2018. The PM concentrations were estimated using a high-resolution (1 km2) satellite-based spatiotemporal model. A covariate-adjusted generalized linear mixed model was used to analyze the relationship between long-term exposure to PM1-2.5 and the incidence of asthma. Effect modifications and sensitivity analysis were conducted. RESULTS After a 7-year follow-up, 103 (1.61 %) of the 6400 participants developed asthma. Each 10 μg/m3 increment in the 1-, 2-, 3-, and 4-year moving average concentrations of PM1-2.5 corresponded to a 1.82 [95 % confidence interval (CI):1.11-2.98], 1.95 (95 % CI: 1.24-3.07), 1.95 (95 % CI: 1.26-3.03) and 1.88 (95 % CI: 1.26-2.81) fold risk for incident asthma, respectively. A significant multiplicative interaction was observed between socioeconomic level and long-term exposure to PM1-2.5. Stratified analysis showed that smokers and those with lower socioeconomic levels were at higher risk of incident asthma related to PM1-2.5. Restricted cubic splines showed an increasing trend in asthma incidence with increasing PM1-2.5. Sensitivity analyses showed that our model was robust. CONCLUSION Long-term exposure to PM1-2.5 was positively associated with incident asthma in middle-aged and elderly individuals. Participants with a history of smoking and lower socioeconomic levels had a higher risk. More studies are warranted warrant to establish an accurate reference value of PM1-2.5 to mitigate the growing asthma burden.
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Affiliation(s)
- Shuting Li
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Jing Wei
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, USA
| | - Yaoyu Hu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Yuhong Liu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Meiling Hu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Yadi Shi
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Yongxi Xue
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Mengmeng Liu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Wenhan Xie
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China; National Institute for Data Science in Health and Medicine, Capital Medical University, China; Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Australia.
| | - Xiangtong Liu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
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21
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Cole-Hunter T, Zhang J, So R, Samoli E, Liu S, Chen J, Strak M, Wolf K, Weinmayr G, Rodopolou S, Remfry E, de Hoogh K, Bellander T, Brandt J, Concin H, Zitt E, Fecht D, Forastiere F, Gulliver J, Hoffmann B, Hvidtfeldt UA, Jöckel KH, Mortensen LH, Ketzel M, Yacamán Méndez D, Leander K, Ljungman P, Faure E, Lee PC, Elbaz A, Magnusson PKE, Nagel G, Pershagen G, Peters A, Rizzuto D, Vermeulen RCH, Schramm S, Stafoggia M, Katsouyanni K, Brunekreef B, Hoek G, Lim YH, Andersen ZJ. Long-term air pollution exposure and Parkinson's disease mortality in a large pooled European cohort: An ELAPSE study. ENVIRONMENT INTERNATIONAL 2023; 171:107667. [PMID: 36516478 DOI: 10.1016/j.envint.2022.107667] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/22/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND The link between exposure to ambient air pollution and mortality from cardiorespiratory diseases is well established, while evidence on neurodegenerative disorders including Parkinson's Disease (PD) remains limited. OBJECTIVE We examined the association between long-term exposure to ambient air pollution and PD mortality in seven European cohorts. METHODS Within the project 'Effects of Low-Level Air Pollution: A Study in Europe' (ELAPSE), we pooled data from seven cohorts among six European countries. Annual mean residential concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), and ozone (O3), as well as 8 PM2.5 components (copper, iron, potassium, nickel, sulphur, silicon, vanadium, zinc), for 2010 were estimated using Europe-wide hybrid land use regression models. PD mortality was defined as underlying cause of death being either PD, secondary Parkinsonism, or dementia in PD. We applied Cox proportional hazard models to investigate the associations between air pollution and PD mortality, adjusting for potential confounders. RESULTS Of 271,720 cohort participants, 381 died from PD during 19.7 years of follow-up. In single-pollutant analyses, we observed positive associations between PD mortality and PM2.5 (hazard ratio per 5 µg/m3: 1.25; 95% confidence interval: 1.01-1.55), NO2 (1.13; 0.95-1.34 per 10 µg/m3), and BC (1.12; 0.94-1.34 per 0.5 × 10-5m-1), and a negative association with O3 (0.74; 0.58-0.94 per 10 µg/m3). Associations of PM2.5, NO2, and BC with PD mortality were linear without apparent lower thresholds. In two-pollutant models, associations with PM2.5 remained robust when adjusted for NO2 (1.24; 0.95-1.62) or BC (1.28; 0.96-1.71), whereas associations with NO2 or BC attenuated to null. O3 associations remained negative, but no longer statistically significant in models with PM2.5. We detected suggestive positive associations with the potassium component of PM2.5. CONCLUSION Long-term exposure to PM2.5, at levels well below current EU air pollution limit values, may contribute to PD mortality.
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Affiliation(s)
- Thomas Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jiawei Zhang
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sophia Rodopolou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Elizabeth Remfry
- Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Hans Concin
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy; MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, United Kingdom
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Statistics Denmark, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom
| | - Diego Yacamán Méndez
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Elodie Faure
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France
| | - Pei-Chen Lee
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France; Department of Public Health, National Cheng Kung University, Tainan, Taiwan
| | - Alexis Elbaz
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, München, Germany
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, United Kingdom
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
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22
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Yu Z, Koppelman GH, Boer JMA, Hoek G, Kerckhoffs J, Vonk JM, Vermeulen R, Gehring U. Ambient ultrafine particles and asthma onset until age 20: The PIAMA birth cohort. ENVIRONMENTAL RESEARCH 2022; 214:113770. [PMID: 35777436 DOI: 10.1016/j.envres.2022.113770] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 06/24/2022] [Accepted: 06/25/2022] [Indexed: 06/15/2023]
Abstract
RATIONALE Evidence regarding the role of long-term exposure to ultrafine particles (<0.1 μm, UFP) in asthma onset is scarce. OBJECTIVES We examined the association between exposure to UFP and asthma development in the Dutch PIAMA (Prevention and Incidence of Asthma and Mite Allergy) birth cohort and assessed whether there is an association with UFP, independent of other air pollutants. METHODS Data from birth up to age 20 years from 3687 participants were included. Annual average exposure to UFP at the residential addresses was estimated with a land-use regression model. Overall and age-specific associations of exposure at the birth address and current address at the time of follow-up with asthma incidence were assessed using discrete-time hazard models adjusting for potential confounders. We investigated both single- and two-pollutant models accounting for co-exposure to other air pollutants (PM2.5 and PM10 mass concentrations, nitrogen dioxide, and PM2.5 absorbance). MEASUREMENTS AND MAIN RESULTS A total of 812 incident asthma cases were identified. Overall, we found that higher UFP exposure was associated with higher asthma incidence (adjusted odds ratio (95% confidence interval) 1.08 (1.02,1.14) and 1.06 (1.00, 1.12) per interquartile range increase in exposure at the birth address and current address at the time of follow-up, respectively). Age-specific associations were not consistent. The association was no longer significant after adjustment for other traffic-related pollutants (nitrogen dioxide and PM2.5 absorbance). CONCLUSIONS Our findings support the importance of traffic-related air pollutants for asthma development through childhood and adolescence, but provide little support for an independent effect of UFP.
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Affiliation(s)
- Zhebin Yu
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gerard H Koppelman
- University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Department of Pediatric Pulmonology and Pediatric Allergology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
| | - Jolanda M A Boer
- Center for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Jules Kerckhoffs
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands; Department of Epidemiology, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
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23
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Vlaanderen J, Vermeulen R, Whitaker M, Chadeau-Hyam M, Hottenga JJ, de Geus E, Willemsen G, Penninx BWJH, Jansen R, Boomsma DI. Impact of long-term exposure to PM 2.5 on peripheral blood gene expression pathways involved in cell signaling and immune response. ENVIRONMENT INTERNATIONAL 2022; 168:107491. [PMID: 36081220 DOI: 10.1016/j.envint.2022.107491] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/02/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Exposure to ambient air pollution, even at low levels, is a major environmental health risk. The peripheral blood transcriptome provides a potential avenue for the elucidation of ambient air pollution related biological perturbations. We assessed the association between long-term estimates for seven priority air pollutants and perturbations in peripheral blood transcriptomics data collected in the Dutch National Twin Register (NTR) and Netherlands Study of Depression and Anxiety (NESDA) cohorts. METHODS In both the discovery (n = 2438) and replication (n = 1567) cohort, outdoor concentration of 7 air pollutants (NO2, NOx, particulate matter (PM2.5, PM2.5abs, PM10, PMcoarse), and ultrafine particles) was predicted with land use regression models. Gene expression was assessed by Affymetrix U219 arrays. Multi-variable univariate mixed-effect models were applied to test for an association between the air pollutants and the transcriptome. Functional analysis was conducted in DAVID. RESULTS In the discovery cohort, we observed for 335 genes (374 probes with FDR < 5 %) a perturbation in peripheral blood gene expression that was associated with long-term average levels of PM2.5. For 69 genes pooled effect estimates from the NTR and NESDA cohorts were significant. Identified genes play a role in biological pathways related to cell signaling and immune response. Sixty-two out of 69 genes had a similar direction of effect in an analysis in which we regressed the probes on differential PM2.5 exposure within monozygotic twin pairs, indicating that the observed differences in gene expression were likely driven by differences in air pollution, rather than by confounding by genetic factors. CONCLUSION Our results indicate that PM2.5 can elicit a response in cell signaling and the immune system, both hallmarks of environmental diseases. The differential effect that we observed between air pollutants may aid in the understanding of differential health effects that have been observed with these exposures.
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Affiliation(s)
- Jelle Vlaanderen
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands.
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | | | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Eco de Geus
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
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24
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Zhao Q, Yu P, Mahendran R, Huang W, Gao Y, Yang Z, Ye T, Wen B, Wu Y, Li S, Guo Y. Global climate change and human health: Pathways and possible solutions. ECO-ENVIRONMENT & HEALTH (ONLINE) 2022; 1:53-62. [PMID: 38075529 PMCID: PMC10702927 DOI: 10.1016/j.eehl.2022.04.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/13/2022] [Accepted: 04/28/2022] [Indexed: 12/13/2023]
Abstract
Global warming has been changing the planet's climate pattern, leading to increasing frequency, intensity and duration of extreme weather events and natural disasters. These climate-changing events affect various health outcomes adversely through complicated pathways. This paper reviews the main signs of climate change so far, e.g., suboptimal ambient temperature, sea-level rise and other conditions, and depicts the interactive pathways between different climate-changing events such as suboptimal temperature, wildfires, and floods with a broad range of health outcomes. Meanwhile, the modifying effect of socioeconomic, demographic and environmental factors on the pathways is summarised, such that the youth, elderly, females, poor and those living in coastal regions are particularly susceptible to climate change. Although Earth as a whole is expected to suffer from climate change, this review article discusses some potential benefits for certain regions, e.g., a more liveable environment and sufficient food supply. Finally, we summarise certain mitigation and adaptation strategies against climate change and how these strategies may benefit human health in other ways. This review article provides a comprehensive and concise introduction of the pathways between climate change and human health and possible solutions, which may map directions for future research.
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Affiliation(s)
- Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Pei Yu
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Rahini Mahendran
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Wenzhong Huang
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Yuan Gao
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Zhengyu Yang
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Tingting Ye
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Bo Wen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Yao Wu
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
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25
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Health Effects of Long-Term Exposure to Ambient PM 2.5 in Asia-Pacific: a Systematic Review of Cohort Studies. Curr Environ Health Rep 2022; 9:130-151. [PMID: 35292927 PMCID: PMC9090712 DOI: 10.1007/s40572-022-00344-w] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/10/2022] [Indexed: 12/21/2022]
Abstract
Abstract Purpose of Review Health effects of long-term exposure to ambient PM2.5 vary with regions, and 75% of the deaths attributable to PM2.5 were estimated in Asia-Pacific in 2017. This systematic review aims to summarize the existing evidence from cohort studies on health effects of long-term exposure to ambient PM2.5 in Asia-Pacific. Recent Findings In Asia-Pacific, 60 cohort studies were conducted in Australia, Mainland China, Hong Kong, Taiwan, and South Korea. They consistently supported associations of long-term exposure to PM2.5 with increased all-cause/non-accidental and cardiovascular mortality as well as with incidence of cardiovascular diseases, type 2 diabetes mellitus, kidney diseases, and chronic obstructive pulmonary disease. Evidence for other health effects was limited. Inequalities were identified in PM2.5-health associations. Summary To optimize air pollution control and public health prevention, further studies need to assess the health effects of long-term PM2.5 exposure in understudied regions, the health effects of long-term PM2.5 exposure on mortality and risk of type 2 diabetes mellitus, renal diseases, dementia and lung cancer, and inequalities in PM2.5-health associations. Study design, especially exposure assessment methods, should be improved. Supplementary Information The online version contains supplementary material available at 10.1007/s40572-022-00344-w.
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26
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Wesselink AK, Wang TR, Ketzel M, Mikkelsen EM, Brandt J, Khan J, Hertel O, Laursen ASD, Johannesen BR, Willis MD, Levy JI, Rothman KJ, Sørensen HT, Wise LA, Hatch EE. Air pollution and fecundability: Results from a Danish preconception cohort study. Paediatr Perinat Epidemiol 2022; 36:57-67. [PMID: 34890081 PMCID: PMC8712376 DOI: 10.1111/ppe.12832] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/24/2021] [Accepted: 10/08/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Animal and epidemiologic studies indicate that air pollution may adversely affect fertility. Epidemiologic studies have been restricted largely to couples undergoing fertility treatment or have retrospectively ascertained time-to-pregnancy among pregnant women. OBJECTIVES We examined the association between residential ambient air pollution and fecundability, the per-cycle probability of conception, in a large preconception cohort of Danish pregnancy planners. METHODS During 2007-2018, we used the Internet to recruit and follow women who were trying to conceive without the use of fertility treatment. Participants completed an online baseline questionnaire eliciting socio-demographic characteristics, lifestyle factors, and medical and reproductive histories and follow-up questionnaires every 8 weeks to ascertain pregnancy status. We determined concentrations of ambient nitrogen oxides (NOx ), nitrogen dioxide (NO2 ), carbon monoxide (CO), ozone (O3 ), particulate matter <2.5 µm (PM2.5 ) and <10 µm (PM10 ), and sulphur dioxide (SO2 ) at each participant's residential address. We calculated average exposure during the year before baseline, during each menstrual cycle over follow-up and during the entire pregnancy attempt time. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% confidence intervals (CIs), adjusting for potential confounders and co-pollutants. The analysis was restricted to the 10,183 participants who were trying to conceive for <12 cycles at study entry whose addresses could be geocoded. RESULTS During 12 months of follow-up, 73% of participants conceived. Higher concentrations of PM2.5 and PM10 were associated with small reductions in fecundability. For example, the FRs for a one interquartile range (IQR) increase in PM2.5 (IQR = 3.2 µg/m3 ) and PM10 (IQR = 5.3 µg/m3 ) during each menstrual cycle were 0.93 (95% CI: 0.87, 0.99) and 0.91 (95% CI: 0.84, 0.99), respectively. Other air pollutants were not appreciably associated with fecundability. CONCLUSIONS In this preconception cohort study of Danish women, residential exposures to PM2.5 and PM10 were associated with reduced fecundability.
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Affiliation(s)
- Amelia K. Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Tanran R. Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | - Ellen M. Mikkelsen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate, interdisciplinary Centre for Climate Change, Aarhus University, Aarhus, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - Ole Hertel
- Department of Ecoscience, Aarhus University, Denmark
| | - Anne Sofie D. Laursen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Benjamin R. Johannesen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Mary D. Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Jonathan I. Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Kenneth J. Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Research Triangle Institute, Durham, NC, USA
| | - Henrik T. Sørensen
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Elizabeth E. Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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27
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Madaniyazi L, Xerxes S. Outdoor air pollution and the onset and exacerbation of asthma. Chronic Dis Transl Med 2021; 7:100-106. [PMID: 34136769 PMCID: PMC8180519 DOI: 10.1016/j.cdtm.2021.04.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Indexed: 12/16/2022] Open
Abstract
Exposure to outdoor air pollution has been consistently associated with asthma. In this study, we reviewed the epidemiological studies published within the last 5 years on the association between outdoor air pollution and exacerbation and onset of asthma. A large number of studies have been published within the last 5 years. Short-term exposure to outdoor air pollution is associated with exacerbation of pre-existing asthma, manifested as worsening of symptoms and increasing of asthma-related emergency room visits and hospital admissions. Furthermore, increasing evidence suggests that long-term exposure to outdoor air pollution can result in onset of asthma. Children are more susceptible to outdoor air pollution. Future studies should be conducted to explore the mechanisms underlying the association between air pollutants and onset of asthma, including gene involvement. In addition, disentangling the effect of a mixture of air pollutants and identifying the key components of air pollution will complete the existing evidence. More importantly, a better understanding is required on the future impact of air pollution on asthma under a changing climate.
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Affiliation(s)
- Lina Madaniyazi
- Department of Paediatric Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki 852-8523, Japan.,School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8523, Japan
| | - Seposo Xerxes
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8523, Japan
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