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Sannoh F, Fatmi Z, Carpenter DO, Santoso M, Siddique A, Khan K, Zeb J, Hussain MM, Khwaja HA. Air pollution we breathe: Assessing the air quality and human health impact in a megacity of Southeast Asia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 942:173403. [PMID: 38844217 DOI: 10.1016/j.scitotenv.2024.173403] [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: 02/02/2024] [Revised: 05/01/2024] [Accepted: 05/19/2024] [Indexed: 06/14/2024]
Abstract
With 24 million inhabitants and 6.6 million vehicles on the roads, Karachi, Pakistan ranks among the world's most polluted cities due to high levels of fine particulate matter (PM2.5). This study aims to investigate PM2.5 mass, seasonal and temporal variability, chemical characterization, source apportionment, and health risk assessment at two urban sites in Karachi. Samples were analyzed using ion chromatography and dual-wavelength optical transmissometer for various inorganic components (anions, cations, and trace elements) and black carbon (BC). Several PM2.5 pollution episodes were frequently observed, with annual mean concentrations at Kemari (140 ± 179 μg/m3) and Malir (95 ± 40.9 μg/m3) being significantly above the World Health Organization's guidelines of 5 μg/m3. Chemical composition at both sites exhibited seasonal variability, with higher pollution levels in winter and fall and lower concentrations in summer. The annual average BC concentrations were 4.86 ± 5.29 μg/m3 and 4.52 ± 3.68 μg/m3, respectively. A Positive Matrix Factorization (PMF) analysis identified 5 factors, crustal, sea salt, vehicular exhaust, fossil-fuel combustion, and industrial emission. The health risk assessment indicated a higher number of deaths in colder seasons (fall and winter) at the Kemari (328,794 and 287,814) and Malir (228,406 and 165,737) sites and potential non-carcinogenic and carcinogenic risks to children from metals. The non-carcinogenic risk of PM2.5 bound Pb, Fe, Zn, Mn, Cr, Cu and Ni via inhalation exposure were within the acceptable level (<1) for adults. However, potential non-carcinogenic and carcinogenic health risk posed by Pb and Cr through inhalation were observed for children. The findings exhibit critical levels of air pollution that exceed the safe limits in Karachi, posing significant health risks to children and sensitive groups. Our study underscores the urgent need for effective emission control strategies and policy interventions to mitigate these air pollution risks.
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Affiliation(s)
- Fatim Sannoh
- Division of Environmental Health Sciences, Wadsworth Center, New York State Department of Health, Empire State Plaza, Albany, NY 12237, United States; Department of Environmental Health Sciences, School of Public Health, University at Albany, Albany, NY, United States
| | - Zafar Fatmi
- Department of Community Health Sciences, The Aga Khan University, Karachi, Pakistan
| | - David O Carpenter
- Institute for the Health and the Environment, University at Albany, Albany, NY, United States
| | | | - Azhar Siddique
- Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Kamran Khan
- Chemistry Department, University of Karachi, Karachi, Pakistan
| | - Jahan Zeb
- Department of Environmental and Health Research, The Custodian of the Holy Two Mosques Institute for Hajj and Umra Research, Umm Al-Qura University, Mecca, Saudi Arabia
| | - Mirza M Hussain
- Division of Environmental Health Sciences, Wadsworth Center, New York State Department of Health, Empire State Plaza, Albany, NY 12237, United States; Department of Environmental Health Sciences, School of Public Health, University at Albany, Albany, NY, United States
| | - Haider A Khwaja
- Division of Environmental Health Sciences, Wadsworth Center, New York State Department of Health, Empire State Plaza, Albany, NY 12237, United States; Department of Environmental Health Sciences, School of Public Health, University at Albany, Albany, NY, United States.
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2
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Hu Y, Wang Y, Zhao Z, Zhao B. Reconsidering gas as clean energy: Switching to electricity for household cooking to reduce NO 2-attributed disease burden. ECO-ENVIRONMENT & HEALTH 2024; 3:174-182. [PMID: 38638171 PMCID: PMC11021829 DOI: 10.1016/j.eehl.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 10/17/2023] [Accepted: 10/25/2023] [Indexed: 04/20/2024]
Abstract
Nitrogen dioxide (NO2) is a prevalent air pollutant in urban areas, originating from outdoor sources, household gas consumption, and secondhand smoke. The limited evaluation of the disease burden attributable to NO2, encompassing different health effects and contributions from various sources, impedes our understanding from a public health perspective. Based on modeled NO2 exposure concentrations, their exposure-response relationships with lung cancer, chronic obstructive pulmonary disease, and diabetes mellitus, and baseline disability-adjusted life years (DALYs), we estimated that 1,675 (655-2,624) thousand DALYs were attributable to NO2 in urban China in 2019 [138 (54-216) billion Chinese yuan (CNY) economic losses]. The transition from gas to electricity for household cooking was estimated to reduce the attributable economic losses by 35%. This reduction falls within the range of reductions achieved when outdoor air meets the World Health Organization interim target 3 and air quality guidelines for annual NO2, highlighting the significance of raising awareness of gas as a polluting household energy for cooking. These findings align with global sustainable development initiatives, providing a sustainable solution to promote public health while potentially mitigating climate change.
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Affiliation(s)
- Ying Hu
- Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Ye Wang
- Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
| | - Zhuohui Zhao
- School of Public Health, Fudan University, Shanghai 200433, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200433, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai 200433, China
| | - Bin Zhao
- Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing 100084, China
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Kashtan Y, Nicholson M, Finnegan CJ, Ouyang Z, Garg A, Lebel ED, Rowland ST, Michanowicz DR, Herrera J, Nadeau KC, Jackson RB. Nitrogen dioxide exposure, health outcomes, and associated demographic disparities due to gas and propane combustion by U.S. stoves. SCIENCE ADVANCES 2024; 10:eadm8680. [PMID: 38701214 PMCID: PMC11068006 DOI: 10.1126/sciadv.adm8680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 04/02/2024] [Indexed: 05/05/2024]
Abstract
Gas and propane stoves emit nitrogen dioxide (NO2) pollution indoors, but the exposures of different U.S. demographic groups are unknown. We estimate NO2 exposure and health consequences using emissions and concentration measurements from >100 homes, a room-specific indoor air quality model, epidemiological risk parameters, and statistical sampling of housing characteristics and occupant behavior. Gas and propane stoves increase long-term NO2 exposure 4.0 parts per billion volume on average across the United States, 75% of the World Health Organization's exposure guideline. This increased exposure likely causes ~50,000 cases of current pediatric asthma from long-term NO2 exposure alone. Short-term NO2 exposure from typical gas stove use frequently exceeds both World Health Organization and U.S. Environmental Protection Agency benchmarks. People living in residences <800 ft2 in size incur four times more long-term NO2 exposure than people in residences >3000 ft2 in size; American Indian/Alaska Native and Black and Hispanic/Latino households incur 60 and 20% more NO2 exposure, respectively, than the national average.
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Affiliation(s)
- Yannai Kashtan
- Earth System Science Department, Stanford University, 473 Via Ortega, Stanford, CA 94305, USA
| | - Metta Nicholson
- Earth System Science Department, Stanford University, 473 Via Ortega, Stanford, CA 94305, USA
| | - Colin J. Finnegan
- Earth System Science Department, Stanford University, 473 Via Ortega, Stanford, CA 94305, USA
| | - Zutao Ouyang
- Earth System Science Department, Stanford University, 473 Via Ortega, Stanford, CA 94305, USA
| | - Anchal Garg
- Earth System Science Department, Stanford University, 473 Via Ortega, Stanford, CA 94305, USA
| | - Eric D. Lebel
- PSE Healthy Energy, 1140 Broadway, Suite 750, Oakland, CA 94612, USA
| | | | | | - Janet Herrera
- Central California Asthma Collaborative, Suite J, 1400 Chester Ave., Bakersfield, CA 93301, USA
| | - Kari C. Nadeau
- T.H. Chan School of Public Health, Harvard University, 677 Huntington Ave., Boston, MA 02115, USA
| | - Robert B. Jackson
- Earth System Science Department, Stanford University, 473 Via Ortega, Stanford, CA 94305, USA
- Woods Institute for the Environment and Precourt Institute for Energy, Stanford, CA 94305, USA
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Khorrami Z, Pourkhosravani M, Karamoozian A, Jafari-Khounigh A, Akbari ME, Rezapour M, Khorrami R, Taghavi-Shahri SM, Amini H, Etemad K, Khanjani N. Ambient air pollutants and breast cancer stage in Tehran, Iran. Sci Rep 2024; 14:3873. [PMID: 38365800 PMCID: PMC10873290 DOI: 10.1038/s41598-024-53038-8] [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: 08/01/2023] [Accepted: 01/27/2024] [Indexed: 02/18/2024] Open
Abstract
This study aimed to examine the impacts of single and multiple air pollutants (AP) on the severity of breast cancer (BC). Data of 1148 diagnosed BC cases (2008-2016) were obtained from the Cancer Research Center and private oncologist offices in Tehran, Iran. Ambient PM10, SO2, NO, NO2, NOX, benzene, toluene, ethylbenzene, m-xylene, p-xylene, o-xylene, and BTEX data were obtained from previously developed land use regression models. Associations between pollutants and stage of BC were assessed by multinomial logistic regression models. An increase of 10 μg/m3 in ethylbenzene, o-xylene, m-xylene, and 10 ppb of NO corresponded to 10.41 (95% CI 1.32-82.41), 4.07 (1.46-11.33), 2.89 (1.08-7.73) and 1.08 (1.00-1.15) increase in the odds of stage I versus non-invasive BC, respectively. Benzene (OR, odds ratio = 1.16, 95% CI 1.01-1.33) and o-xylene (OR = 1.18, 1.02-1.38) were associated with increased odds of incidence of BC stages III & IV versus non-invasive stages. BC stage I and stage III&IV in women living in low SES areas was associated with significantly higher levels of benzene, ethylbenzene, o-xylene, and m-xylene. The highest multiple-air-pollutants quartile was associated with a higher odds of stage I BC (OR = 3.16) in patients under 50 years old. This study provides evidence that exposure to AP is associated with increased BC stage at diagnosis, especially under premenopause age.
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Affiliation(s)
- Zahra Khorrami
- Ophthalmic Epidemiology Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohsen Pourkhosravani
- Department of Geography and Urban Planning, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Ali Karamoozian
- Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Ali Jafari-Khounigh
- Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Maysam Rezapour
- Department of Paramedicine, Amol School of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, Iran
| | - Reihaneh Khorrami
- Student Research Committee, Jahrom University of Medical Sciences, Jahrom, Iran
| | | | - Heresh Amini
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Climate Change, Environmental Health and Exposomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Koorosh Etemad
- Cancer Research Center (CRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Narges Khanjani
- Department of Medical Education, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, USA.
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Sabour S, Harzand-Jadidi S, Jafari-Khounigh A, Zarea Gavgani V, Sedaghat Z, Alavi N. The association between ambient air pollution and migraine: a systematic review. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:271. [PMID: 38363415 DOI: 10.1007/s10661-024-12376-w] [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: 08/08/2023] [Accepted: 01/15/2024] [Indexed: 02/17/2024]
Abstract
Some studies have shown the effect of air pollution on migraine. However, it needs to be confirmed in larger-scale studies, as scientific evidence is scarce regarding the association between air pollution and migraine. Therefore, this systematic review aims to determine whether there are associations between outdoor air pollution and migraine. A literature search was performed in Scopus, Medline (via PubMed), EMBASE, and Web of Science. A manual search for resources and related references was also conducted to complete the search. All observational studies investigating the association between ambient air pollution and migraine, with inclusion criteria, were entered into the review. Fourteen out of 1417 identified articles met the inclusion criteria and entered the study. Among the gaseous air pollutants, there was a correlation between exposure to nitrogen dioxide (NO2) (78.3% of detrimental relationships) and carbon monoxide (CO) (68.0% of detrimental relationships) and migraine, but no apparent correlation has been found for sulfur dioxide (SO2) (21.2% of detrimental relationships) and ozone (O3) (55.2% of detrimental relationships). In the case of particulate air pollutants, particulate matter with a diameter of 10 μm or less (PM10) (76.0% of detrimental relationships) and particulate matter with a diameter of 2.5 μm or less (PM2.5) (61.3% of detrimental relationships) had relationships with migraine. In conclusion, exposure to NO2, CO, PM10, and PM2.5 is associated with migraine headaches, while no conclusive evidence was found to confirm the correlation between O3 and SO2 with migraine. Further studies with precise methodology are recommended in different cities around the world for all pollutants with an emphasis on O3 and SO2.
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Affiliation(s)
- Siamak Sabour
- Safety Promotions and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
- Department of Clinical Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Sepideh Harzand-Jadidi
- Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ali Jafari-Khounigh
- Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Vahideh Zarea Gavgani
- Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Zahra Sedaghat
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nadali Alavi
- Department of Environmental Health Engineering, School of Public Health and Safety, Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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6
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Wang Z, Yu T, Ye J, Tian L, Lin B, Leng W, Liu C. A novel low sampling rate and cost-efficient active sampler for medium/long-term monitoring of gaseous pollutants. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132583. [PMID: 37741205 DOI: 10.1016/j.jhazmat.2023.132583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 09/14/2023] [Accepted: 09/17/2023] [Indexed: 09/25/2023]
Abstract
Active sampling is a dependable approach for gaseous pollutants monitoring, offering high accuracy and precision that is unaffected by environmental factors such as wind and temperature in comparison to passive sampling. To measure long-term average concentrations while minimizing the use of materials, a reduced sampling rate is necessary. Thus, this study aims to develop a novel low sampling rate (down to 1 mL/min) and cost-efficient active sampler (LASP) for medium/long-term monitoring of gaseous pollutants. The LASP mainly consisted of a syringe pump, a Y-shaped fitting with two one-way valves, and a control unit for intermittent operation. Results showed that LASP can obtain a sampling rate of less than 1 mL/min and sampling rate exhibited a high level of stability. Daily average concentrations measurements for nitrogen dioxide and formaldehyde by LASP had normalized mean biases of 2.8% and 5.2%, respectively. These numbers were - 5.8% and 6.1% for weekly-average samplings. This study demonstrated applications of LASP in real outdoor (daily-average) and indoor (weekly-average) air quality measurements. It worked well with low noise levels, and without interfering with occupants' daily activities. LASP can assist in improving our ability to monitor air quality and pollutants emissions, thereby supporting health research and policy development. ENVIRONMENTAL IMPLICATION: Gaseous air pollution is an important hazardous factor threatening human health. Medium/long-term air quality monitoring is essential for outdoor and indoor air quality assessment and control. However, air sampler for medium/long-term sampling is lacking. This study developed a novel low sampling rate and cost-efficient active sampler and applied it to medium/long-term air sampling. The sampler can work at a sampling rate of less than 1 mL/min. This technology provides a feasible strategy for medium/long-term monitoring of gaseous air pollutants in both environments and emission hotspots.
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Affiliation(s)
- Zhiyuan Wang
- School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Tao Yu
- Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
| | - Jin Ye
- School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212100, China
| | - Lei Tian
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Bencheng Lin
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Wenjun Leng
- Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
| | - Cong Liu
- School of Energy and Environment, Southeast University, Nanjing 210096, China.
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He Y, Qian DC, Diao JA, Cho MH, Silverman EK, Gusev A, Manrai AK, Martin AR, Patel CJ. Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors. Nat Commun 2023; 14:8297. [PMID: 38097585 PMCID: PMC10721891 DOI: 10.1038/s41467-023-44047-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 11/28/2023] [Indexed: 12/17/2023] Open
Abstract
Smoking is the leading risk factor for chronic obstructive pulmonary disease (COPD) worldwide, yet many people who never smoke develop COPD. We perform a longitudinal analysis of COPD in the UK Biobank to derive and validate the Socioeconomic and Environmental Risk Score which captures additive and cumulative environmental, behavioral, and socioeconomic exposure risks beyond tobacco smoking. The Socioeconomic and Environmental Risk Score is more predictive of COPD than smoking status and pack-years. Individuals in the highest decile of the risk score have a greater risk for incident COPD compared to the remaining population. Never smokers in the highest decile of exposure risk are more likely to develop COPD than previous and current smokers in the lowest decile. In general, the prediction accuracy of the Social and Environmental Risk Score is lower in non-European populations. While smoking status is often considered in screening COPD, our finding highlights the importance of other non-smoking environmental and socioeconomic variables.
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Affiliation(s)
- Yixuan He
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - David C Qian
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, USA
| | - James A Diao
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Edwin K Silverman
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alexander Gusev
- Department of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Arjun K Manrai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
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Holtjer JCS, Bloemsma LD, Beijers RJHCG, Cornelissen MEB, Hilvering B, Houweling L, Vermeulen RCH, Downward GS, Maitland-Van der Zee AH. Identifying risk factors for COPD and adult-onset asthma: an umbrella review. Eur Respir Rev 2023; 32:32/168/230009. [PMID: 37137510 PMCID: PMC10155046 DOI: 10.1183/16000617.0009-2023] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/27/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND COPD and adult-onset asthma (AOA) are the most common noncommunicable respiratory diseases. To improve early identification and prevention, an overview of risk factors is needed. We therefore aimed to systematically summarise the nongenetic (exposome) risk factors for AOA and COPD. Additionally, we aimed to compare the risk factors for COPD and AOA. METHODS In this umbrella review, we searched PubMed for articles from inception until 1 February 2023 and screened the references of relevant articles. We included systematic reviews and meta-analyses of observational epidemiological studies in humans that assessed a minimum of one lifestyle or environmental risk factor for AOA or COPD. RESULTS In total, 75 reviews were included, of which 45 focused on risk factors for COPD, 28 on AOA and two examined both. For asthma, 43 different risk factors were identified while 45 were identified for COPD. For AOA, smoking, a high body mass index (BMI), wood dust exposure and residential chemical exposures, such as formaldehyde exposure or exposure to volatile organic compounds, were amongst the risk factors found. For COPD, smoking, ambient air pollution including nitrogen dioxide, a low BMI, indoor biomass burning, childhood asthma, occupational dust exposure and diet were amongst the risk factors found. CONCLUSIONS Many different factors for COPD and asthma have been found, highlighting the differences and similarities. The results of this systematic review can be used to target and identify people at high risk for COPD or AOA.
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Affiliation(s)
- Judith C S Holtjer
- Department of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Lizan D Bloemsma
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| | - Rosanne J H C G Beijers
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Merel E B Cornelissen
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| | - Bart Hilvering
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - Laura Houweling
- Department of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - Roel C H Vermeulen
- Department of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - George S Downward
- Department of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Anke-Hilse Maitland-Van der Zee
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
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Li X, Wang P, Wang W, Zhang H, Shi S, Xue T, Lin J, Zhang Y, Liu M, Chen R, Kan H, Meng X. Mortality burden due to ambient nitrogen dioxide pollution in China: Application of high-resolution models. ENVIRONMENT INTERNATIONAL 2023; 176:107967. [PMID: 37244002 DOI: 10.1016/j.envint.2023.107967] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 04/07/2023] [Accepted: 05/07/2023] [Indexed: 05/29/2023]
Abstract
BACKGROUND A large gap exists between the latest Global Air Quality Guidelines (AQG 2021) and Chinese air quality standards for NO2. Assessing whether and to what extent air quality standards for NO2 should be tightened in China requires a comprehensive understanding of the spatiotemporal characteristics of population exposure to ambient NO2 and related health risks, which have not been studied to date. OBJECTIVE We predicted ground NO2 concentrations with high resolution in mainland China, explored exposure characteristics to NO2 pollution, and assessed the mortality burden attributable to NO2 exposure. METHODS Daily NO2 concentrations in 2019 were predicted at 1-km spatial resolution in mainland China using random forest models incorporating multiple predictors. From these high-resolution predictions, we explored the spatiotemporal distribution of NO2, population and area percentages with NO2 exposure exceeding criterion levels, and premature deaths attributable to long- and short-term NO2 exposure in China. RESULTS The cross-validation R2and root mean squared error of the NO2 predicting model were 0.80 and 7.78 μg/m3, respectively,at the daily level in 2019.The percentage of people (population number) with annual NO2 exposure over 40 μg/m3 in mainland China in 2019 was 10.40 % (145,605,200), and it reached 99.68 % (1,395,569,840) with the AQG guideline value of 10 μg/m3. NO2 levels and population exposure risk were elevated in urban areas than in rural. Long- and short-term exposures to NO2 were associated with 285,036 and 121,263 non-accidental deaths, respectively, in China in 2019. Tightening standards in steps gradually would increase the potential health benefit. CONCLUSION In China, NO2 pollution is associated with significant mortality burden. Spatial disparities exist in NO2 pollution and exposure risks. China's current air quality standards may no longer objectively reflect the severity of NO2 pollution and exposure risk. Tightening the national standards for NO2 is needed and will lead to significant health benefits.
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Affiliation(s)
- Xinyue Li
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Peng Wang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, China
| | - Weidong Wang
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Hongliang Zhang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, China
| | - Su Shi
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Jintai Lin
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Yuhang Zhang
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Mengyao Liu
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Renjie Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China.
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10
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Sin DD, Doiron D, Agusti A, Anzueto A, Barnes PJ, Celli BR, Criner GJ, Halpin D, Han MK, Martinez FJ, Montes de Oca M, Papi A, Pavord I, Roche N, Singh D, Stockley R, Lopez Varlera MV, Wedzicha J, Vogelmeier C, Bourbeau J. Air pollution and COPD: GOLD 2023 committee report. Eur Respir J 2023; 61:2202469. [PMID: 36958741 DOI: 10.1183/13993003.02469-2022] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 03/04/2023] [Indexed: 03/25/2023]
Abstract
Exposure to air pollution is a major contributor to the pathogenesis of COPD worldwide. Indeed, most recent estimates suggest that 50% of the total attributable risk of COPD may be related to air pollution. In response, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) Scientific Committee performed a comprehensive review on this topic, qualitatively synthesised the evidence to date and proffered recommendations to mitigate the risk. The review found that both gaseous and particulate components of air pollution are likely contributors to COPD. There are no absolutely safe levels of ambient air pollution and the relationship between air pollution levels and respiratory events is supra-linear. Wildfires and extreme weather events such as heat waves, which are becoming more common owing to climate change, are major threats to COPD patients and acutely increase their risk of morbidity and mortality. Exposure to air pollution also impairs lung growth in children and as such may lead to developmental COPD. GOLD recommends strong public health policies around the world to reduce ambient air pollution and for implementation of public warning systems and advisories, including where possible the use of personalised apps, to alert patients when ambient air pollution levels exceed acceptable minimal thresholds. When household particulate content exceeds acceptable thresholds, patients should consider using air cleaners and filters where feasible. Air pollution is a major health threat to patients living with COPD and actions are urgently required to reduce the morbidity and mortality related to poor air quality around the world.
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Affiliation(s)
- Don D Sin
- Centre for Heart Lung Innovation, St Paul's Hospital and University of British Columbia Division of Respiratory Medicine, Vancouver, BC, Canada
| | - Dany Doiron
- McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Alvar Agusti
- Respiratory Institute, Hospital Clinic, IDIBAPS, University of Barcelona and CIBERES, Barcelona, Spain
| | - Antonio Anzueto
- South Texas Veterans Health Care System, University of Texas, San Antonio, TX, USA
| | - Peter J Barnes
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | | | - David Halpin
- University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Fernando J Martinez
- Weill Cornell Medical Center/New York-Presbyterian Hospital, New York, NY, USA
| | - Maria Montes de Oca
- Hospital Universitario de Caracas, Universidad Central de Venezuela, Centro Médico de Caracas, Caracas, Venezuela
| | - Alberto Papi
- Respiratory Medicine, University of Ferrara, Ferrara, Italy
| | - Ian Pavord
- Respiratory Medicine Unit and Oxford Respiratory NIHR Biomedical Research Centre, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nicolas Roche
- Service de Pneumologie, Hôpital Cochin, AP-HP, Université Paris Cité, UMR 1016, Institut Cochin, Paris, France
| | - Dave Singh
- University of Manchester, Manchester, UK
| | | | | | - Jadwiga Wedzicha
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Claus Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, University Hospital Giessen and Marburg, German Center for Lung Research (DZL), University of Marburg, Marburg, Germany
| | - Jean Bourbeau
- McGill University Health Centre, McGill University, Montreal, QC, Canada
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11
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Zhu X, Zhang Q, Du X, Jiang Y, Niu Y, Wei Y, Zhang Y, Chillrud SN, Liang D, Li H, Chen R, Kan H, Cai J. Respiratory Effects of Traffic-Related Air Pollution: A Randomized, Crossover Analysis of Lung Function, Airway Metabolome, and Biomarkers of Airway Injury. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:57002. [PMID: 37141245 PMCID: PMC10159268 DOI: 10.1289/ehp11139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 02/19/2023] [Accepted: 03/20/2023] [Indexed: 05/05/2023]
Abstract
BACKGROUND Exposure to traffic-related air pollution (TRAP) has been associated with increased risks of respiratory diseases, but the biological mechanisms are not yet fully elucidated. OBJECTIVES Our aim was to evaluate the respiratory responses and explore potential biological mechanisms of TRAP exposure in a randomized crossover trial. METHODS We conducted a randomized crossover trial in 56 healthy adults. Each participant was exposed to high- and low-TRAP exposure sessions by walking in a park and down a road with high traffic volume for 4 h in random order. Respiratory symptoms and lung function, including forced expiratory volume in the first second (FEV 1 ), forced vital capacity (FVC), the ratio of FEV 1 to FVC, and maximal mid-expiratory flow (MMEF), were measured before and after each exposure session. Markers of 8-isoprostane, tumor necrosis factor- α (TNF- α ), and ezrin in exhaled breath condensate (EBC), and surfactant proteins D (SP-D) in serum were also measured. We used linear mixed-effects models to estimate the associations, adjusted for age, sex, body mass index, meteorological condition, and batch (only for biomarkers). Liquid chromatography-mass spectrometry was used to profile the EBC metabolome. Untargeted metabolome-wide association study (MWAS) analysis and pathway enrichment analysis using mummichog were performed to identify critical metabolomic features and pathways associated with TRAP exposure. RESULTS Participants had two to three times higher exposure to traffic-related air pollutants except for fine particulate matter while walking along the road compared with in the park. Compared with the low-TRAP exposure at the park, high-TRAP exposure at the road was associated with a higher score of respiratory symptoms [2.615 (95% CI: 0.605, 4.626), p = 1.2 × 10 - 2 ] and relatively lower lung function indicators [- 0.075 L (95% CI: - 0.138 , - 0.012 ), p = 2.1 × 10 - 2 ] for FEV 1 and - 0.190 L / s (95% CI: - 0.351 , - 0.029 ; p = 2.4 × 10 - 2 ) for MMEF]. Exposure to TRAP was significantly associated with changes in some, but not all, biomarkers, particularly with a 0.494 -ng / mL (95% CI: 0.297, 0.691; p = 9.5 × 10 - 6 ) increase for serum SP-D and a 0.123 -ng / mL (95% CI: - 0.208 , - 0.037 ; p = 7.2 × 10 - 3 ) decrease for EBC ezrin. Untargeted MWAS analysis revealed that elevated TRAP exposure was significantly associated with perturbations in 23 and 32 metabolic pathways under positive- and negative-ion modes, respectively. These pathways were most related to inflammatory response, oxidative stress, and energy use metabolism. CONCLUSIONS This study suggests that TRAP exposure might lead to lung function impairment and respiratory symptoms. Possible underlying mechanisms include lung epithelial injury, inflammation, oxidative stress, and energy metabolism disorders. https://doi.org/10.1289/EHP11139.
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Affiliation(s)
- Xinlei Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Xihao Du
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Yang Zhang
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Steven N. Chillrud
- Division of Geochemistry, Lamont-Doherty Earth Observatory of Columbia University, Palisades, New York, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Huichu Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- National Center for Children’s Health, Children’s Hospital of Fudan University, Shanghai, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
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12
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Cheng C, Han C, Fang Q, Liu Y, Chi X, Li X. Associations between air pollutants and hospital admissions for chronic obstructive pulmonary disease in Jinan: potential benefits from air quality improvements. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:46435-46445. [PMID: 36717420 PMCID: PMC9887246 DOI: 10.1007/s11356-023-25567-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/19/2023] [Indexed: 06/01/2023]
Abstract
Evidence between air pollution and chronic obstructive pulmonary disease (COPD) is inconsistent and limited in China. In this study, we aim to examine the associations between air pollutants and hospital admissions for COPD, hoping to provide practical advice for prevention and control of COPD. Hospital admissions for COPD were collected from a Grade-A tertiary hospital in Jinan from 2014 to 2020. A generalized additive model (GAM) was used to examine the associations between air pollutants and hospital admissions for COPD. Stratified analysis was also conducted for gender, age (20-74 and ≥75 years), and season (warm and cold). The avoidable number of COPD hospital admissions was calculated when air pollutants were controlled under national and WHO standards. Over the study period, a total of 4,012 hospital admissions for COPD were recorded. The daily hospital admissions of COPD increased by 2.36% (95%CI: 0.13-4.65%) and 2.39% (95%CI: 0.19-4.65%) for per 10 μg/m3 increase of NO2 and SO2 concentrations at lag2, respectively. There was no statistically significant difference in health effects caused by increased concentrations of PM2.5, PM10, CO, and O3. The health effects of increased SO2 concentration were stronger in women, the ≥75 years old people and the cold season. About 2 (95%CI: 0-3), 64 (95%CI: 4-132) and 86 (95%CI: 6-177) COPD admissions would be avoided when the SO2 concentration was controlled below the NAAQS-II (150 μg/m3), NAAQS-I (50 μg/m3), and WHO's AQG2021 standard (40 μg/m3), respectively. These findings suggest that short-term exposure to NO2 and SO2 was associated with increased risks of daily COPD admissions, especially for females and the elderly. The control of SO2 and NO2 under the national and WHO standards could avoid more COPD admissions and obtain greater health benefits.
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Affiliation(s)
- Chuanlong Cheng
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Chuang Han
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Qidi Fang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Ying Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Xiangyu Chi
- Department of Geriatric Respiratory Disease, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiujun Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China.
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13
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Peng K, Li Z, Gao TR, Lv J, Wang WJ, Zhan P, Yao WC, Zhao H, Wang H, Xu DX, Huang Y, Tan ZX. Polycyclic aromatic hydrocarbon exposure burden: Individual and mixture analyses of associations with chronic obstructive pulmonary disease risk. ENVIRONMENTAL RESEARCH 2023; 222:115334. [PMID: 36702192 DOI: 10.1016/j.envres.2023.115334] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 12/01/2022] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
Accumulating data demonstrate that polycyclic aromatic hydrocarbons (PAH) exposure is linked to compromised respiratory diseases. This study aimed to analyze urinary PAH metabolites and their associations with chronic obstructive pulmonary disease (COPD) in a sample size of 3015 subjects from a total population of 50,588 from the National Health and Nutrition Examination Survey (NHANES) in 2007-2016. Results showed that the most predominant metabolite was 1-Hydroxynaphthalene (1-NAP, 84%) with a geometric mean concentration of 50,265 ng/L, followed by its homologue 2-NAP (10%), both of which arose from sources including road emission, smoking and cooking. Multiple logistic regression showed that seven of the ten major PAH metabolites were correlated with increased COPD risk: including 1-NAP (OR: 1.83, 95%CI: 1.25, 2.69), 2-Hydroxyfluorene (2-FLU, OR: 2.29, 95%CI: 1.42, 3.68) and 1-Hydroxyphenanthrene (1-PHE, OR: 2.79, 95%CI: 1.85, 4.21), when compared to the lowest tertile after adjusted for covariates. Total exposure burden per PAH congener sub-group demonstrated persistent positive correlation with COPD for ∑PHE (OR: 1.80, 95%CI: 1.34, 2.43) and ∑FLU (OR: 2.74, 95%CI: 1.77, 4.23) after adjusted for covariates. To address the contribution of PAH exposure as mixture towards COPD, weighted quantile sum (WQS) regression analyses revealed that 1-NAP, 9-Hydroxyfluorene (9-FLU), 3-Hydroxyfluorene (3-FLU) and 1-PHE were among the top contributors in the associations with COPD. Our results demonstrate the contemporary yet ongoing exposure burden of PAH exposure for over a decade, particularly towards NAPs and FLUs that contribute significantly to COPD risk, calling for more timely environmental regulation.
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Affiliation(s)
- Kun Peng
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhao Li
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tian-Rui Gao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - Jia Lv
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - Wen-Jing Wang
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ping Zhan
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wen-Cong Yao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - Hui Zhao
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Hua Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - De-Xiang Xu
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China
| | - Yichao Huang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, China.
| | - Zhu-Xia Tan
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China.
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14
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Yoon HY, Kim SY, Kim OJ, Song JW. Nitrogen dioxide increases the risk of disease progression in idiopathic pulmonary fibrosis. Respirology 2023; 28:254-261. [PMID: 36123769 DOI: 10.1111/resp.14373] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 09/05/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND OBJECTIVE Air pollution affects clinical course and prognosis of idiopathic pulmonary fibrosis (IPF). However, the effect of individual exposure to air pollutants on disease progression is unclear. We aimed to identify the effect of individual exposure to nitrogen dioxide (NO2 ) and particulate matter (aerodynamic diameter ≤ 10 μm [PM10 ]) on disease progression in patients with IPF. METHODS The serial lung function data of 946 IPF patients (mean age: 65.4 years, male: 80.9%) were analysed. Individual-level long-term exposures to NO2 and PM10 at the residential addresses of patients were estimated using a national-scale exposure prediction model, constructed based on air quality regulatory monitoring data. Progression was defined as a relative decline (≥10%) in forced vital capacity. Individual- and area-level covariates were adjusted in the primary analysis model. RESULTS Overall, 547 patients (57.8%) experienced progression during a median follow-up of 1.0 year (interquartile range: 0.4-2.6 years). In the primary model, a 10-ppb increase in NO2 concentration was associated with a 10.5% increase in the risk of progression (hazard ratio [HR] = 1.105; 95% CI = 1.000-1.219) in patients with IPF. There was also an increasing trend of progression in patients with IPF according to the second to fourth quartiles of NO2 (Q2 [HR = 1.299; 95% CI = 0.972-1.735], Q3 [1.409; 1.001-1.984], Q4 [1.598; 1.106-2.310]) compared to the first quartile. We found no association between PM10 and progression in IPF patients. CONCLUSION Our data suggest that increased individual exposure to NO2 can increase the risk of progression in patients with IPF.
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Affiliation(s)
- Hee-Young Yoon
- Division of Allergy and Respiratory Diseases, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi, Republic of Korea
| | - Ok-Jin Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi, Republic of Korea.,Environmental Health Research Division, Environmental Health Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Jin Woo Song
- Department of Pulmonary and Critical Care Medicine Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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15
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Thompson R, Smith RB, Karim YB, Shen C, Drummond K, Teng C, Toledano MB. Air pollution and human cognition: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160234. [PMID: 36427724 DOI: 10.1016/j.scitotenv.2022.160234] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/01/2022] [Accepted: 11/13/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND This systematic review summarises and evaluates the literature investigating associations between exposure to air pollution and general population cognition, which has important implications for health, social and economic inequalities, and human productivity. METHODS The engines MEDLINE, Embase Classic+Embase, APA PsycInfo, and SCOPUS were searched up to May 2022. Our inclusion criteria focus on the following pollutants: particulate matter, NOx, and ozone. The cognitive abilities of interest are: general/global cognition, executive function, attention, working memory, learning, memory, intelligence and IQ, reasoning, reaction times, and processing speed. The collective evidence was assessed using the NTP-OHAT framework and random-effects meta-analyses. RESULTS Eighty-six studies were identified, the results of which were generally supportive of associations between exposures and worsened cognition, but the literature was varied and sometimes contradictory. There was moderate certainty support for detrimental associations between PM2.5 and general cognition in adults 40+, and PM2.5, NOx, and PM10 and executive function (especially working memory) in children. There was moderate certainty evidence against associations between ozone and general cognition in adults age 40+, and NOx and reasoning/IQ in children. Some associations were also supported by meta-analysis (N = 14 studies, all in adults aged 40+). A 1 μg/m3 increase in NO2 was associated with reduced performance on general cognitive batteries (β = -0.02, p < 0.05) as was a 1 μg/m3 increase in PM2.5 exposure (β = -0.02, p < 0.05). A 1μgm3 increase in PM2.5 was significantly associated with lower verbal fluency by -0.05 words (p = 0.01) and a decrease in executive function task performance of -0.02 points (p < 0.001). DISCUSSION Evidence was found in support of some exposure-outcome associations, however more good quality research is required, particularly with older teenagers and young adults (14-40 years), using multi-exposure modelling, incorporating mechanistic investigation, and in South America, Africa, South Asia and Australasia.
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Affiliation(s)
- Rhiannon Thompson
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Rachel B Smith
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK; Mohn Centre for Children's Health and Wellbeing, School of Public Health, Imperial College London, UK
| | - Yasmin Bou Karim
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Chen Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Kayleigh Drummond
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Chloe Teng
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Mireille B Toledano
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK; Mohn Centre for Children's Health and Wellbeing, School of Public Health, Imperial College London, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Environmental Exposures and Health, School of Public Health, Imperial College London, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Chemical and Radiation Threats and Hazards, School of Public Health, Imperial College London, UK.
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16
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Wi CI, Gent JF, Bublitz JT, King KS, Ryu E, Sorrentino K, Plano J, McKay L, Porcher J, Wheeler PH, Chiarella SE, DeWan AT, Godri Pollitt KJ, Sheares BJ, Leaderer B, Juhn YJ. Paired Indoor and Outdoor Nitrogen Dioxide Associated With Childhood Asthma Outcomes in a Mixed Rural-Urban Setting: A Feasibility Study. J Prim Care Community Health 2023; 14:21501319231173813. [PMID: 37243352 DOI: 10.1177/21501319231173813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023] Open
Abstract
INTRODUCTION Nitrogen dioxide (NO2) is known to be a trigger for asthma exacerbation. However, little is known about the role of seasonal variation in indoor and outdoor NO2 levels in childhood asthma in a mixed rural-urban setting of North America. METHODS This prospective cohort study, as a feasibility study, included 62 families with children (5-17 years) that had diagnosed persistent asthma residing in Olmsted County, Minnesota. Indoor and outdoor NO2 concentrations were measured using passive air samples over 2 weeks in winter and 2 weeks in summer. We assessed seasonal variation in NO2 levels in urban and rural residential areas and the association with asthma control status collected from participants' asthma diaries during the study period. RESULTS Outdoor NO2 levels were lower (median: 2.4 parts per billion (ppb) in summer, 3.9 ppb in winter) than the Environmental Protection Agency (EPA) annual standard (53 ppb). In winter, a higher level of outdoor NO2 was significantly associated with urban residential living area (P = .014) and lower socioeconomic status (SES) (P = .027). For both seasons, indoor NO2 was significantly higher (P < .05) in rural versus urban areas and in homes with gas versus electric stoves (P < .05). Asthma control status was not associated with level of indoor or outdoor NO2 in this cohort. CONCLUSIONS NO2 levels were low in this mixed rural-urban community and not associated with asthma control status in this small feasibility study. Further research with a larger sample size is warranted for defining a lower threshold of NO2 concentration with health effect on asthma in mixed rural-urban settings.
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Affiliation(s)
| | | | | | | | | | | | - Julie Plano
- Yale School of Public Health, New Haven, CT, USA
| | - Lisa McKay
- Yale School of Public Health, New Haven, CT, USA
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17
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McEachan RRC, Rashid R, Santorelli G, Tate J, Thorpe J, McQuaid JB, Wright J, Pickett KE, Pringle K, Bojke L, Jones S, Islam S, Walker S, Yang TC, Bryant M. Study Protocol. Evaluating the life-course health impact of a city-wide system approach to improve air quality in Bradford, UK: A quasi-experimental study with implementation and process evaluation. Environ Health 2022; 21:122. [PMID: 36464683 PMCID: PMC9720926 DOI: 10.1186/s12940-022-00942-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Air quality is a major public health threat linked to poor birth outcomes, respiratory and cardiovascular disease, and premature mortality. Deprived groups and children are disproportionately affected. Bradford will implement a Clean Air Zone (CAZ) as part of the Bradford Clean Air Plan (B-CAP) in 2022 to reduce pollution, providing a natural experiment. The aim of the current study is to evaluate the impact of the B-CAP on health outcomes and air quality, inequalities and explore value for money. An embedded process and implementation evaluation will also explore barriers and facilitators to implementation, impact on attitudes and behaviours, and any adverse consequences. METHODS The study is split into 4 work packages (WP). WP1A: 20 interviews with decision makers, 20 interviews with key stakeholders; 10 public focus groups and documentary analysis of key reports will assess implementation barriers, acceptability and adverse or unanticipated consequences at 1 year post-implementation (defined as point at which charging CAZ goes 'live'). WP1B: A population survey (n = 2000) will assess travel behaviour and attitudes at baseline and change at 1 year post-implementation). WP2: Routine air quality measurements will be supplemented with data from mobile pollution sensors in 12 schools collected by N = 240 pupil citizen scientists (4 within, 4 bordering and 4 distal to CAZ boundary). Pupils will carry sensors over four monitoring periods over a 12 month period (two pre, and two post-implementation). We will explore whether reductions in pollution vary by CAZ proximity. WP3A: We will conduct a quasi-experimental interrupted time series analysis using a longitudinal routine health dataset of > 530,000 Bradford residents comparing trends (3 years prior vs 3 years post) in respiratory health (assessed via emergency/GP attendances. WP3B: We will use the richly-characterised Born in Bradford cohort (13,500 children) to explore health inequalities in respiratory health using detailed socio-economic data. WP4: will entail a multi-sectoral health economic evaluation to determine value for money of the B-CAP. DISCUSSION This will be first comprehensive quasi-experimental evaluation of a city-wide policy intervention to improve air quality. The findings will be of value for other areas implementing this type of approach. TRIAL REGISTRATION ISRCTN67530835 https://doi.org/10.1186/ISRCTN67530835.
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Affiliation(s)
- Rosemary R C McEachan
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, England.
| | - Rukhsana Rashid
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, England
| | - Gillian Santorelli
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, England
| | - James Tate
- Institute for Transport Studies, University of Leeds, Leeds, LS2 9JT, England
| | - Jamie Thorpe
- St Stephen's Church of England Primary School, Bradford, BD5 7HU, England
| | - James B McQuaid
- School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, England
| | - John Wright
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, England
| | - Kate E Pickett
- Department of Health Sciences, University of York, York, YO10 5DD, UK
| | - Kirsty Pringle
- School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, England
| | - Laura Bojke
- Centre for Health Economics, University of York, York, YO10 5DD, UK
| | - Sally Jones
- Bradford District Metropolitan Council, Bradford, BD1 1HX, England
| | - Shahid Islam
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, England
| | - Simon Walker
- Centre for Health Economics, University of York, York, YO10 5DD, UK
| | - Tiffany C Yang
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, England
| | - Maria Bryant
- Department of Health Sciences, University of York, York, YO10 5DD, UK
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Davis Z, de Groh M, Rainham DG. The Canadian Environmental Quality Index (Can-EQI): Development and calculation of an index to assess spatial variation of environmental quality in Canada's 30 largest cities. ENVIRONMENT INTERNATIONAL 2022; 170:107633. [PMID: 36413927 DOI: 10.1016/j.envint.2022.107633] [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: 07/20/2022] [Revised: 11/08/2022] [Accepted: 11/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Multiple characteristics of the urban environment have been shown to influence population health and health-related behaviours, though the distribution and combined effects of these characteristics on health is less understood. A composite measure of multiple environmental conditions would allow for comparisons among different urban areas; however, this measure is not available in Canada. OBJECTIVES To develop an index of environmental quality for Canada's largest urban areas and to assess the influence of population size on index values. METHODS We conducted a systematic search of potential datasets and consulted with experts to refine and select datasets for inclusion. We identified and selected nine datasets across five domains (outdoor air pollution, natural environments, built environments, radiation, and climate/weather). Datasets were chosen based on known impacts on human health across the life course, complete geographic coverage of the cities of interest, and temporal alignment with the 2016 Canadian census. Each dataset was then summarized into dissemination areas (DAs). The Canadian Environmental Quality Index (Can-EQI) was created by summing decile ranks of each variable based on hypothesized relationships to health outcomes. RESULTS We selected 30 cities with a population of more than 100,000 people which included 28,026 DAs and captured approximately 55% of the total Canadian population. Can-EQI scores ranged from 21.1 to 88.9 out of 100, and in Canada's largest cities were 10.2 (95% CI: -10.7, -9.7) points lower than the smallest cities. Mapping the Can-EQI revealed high geographic variability within and between cities. DISCUSSION Our work demonstrates a valuable methodology for exploring variations in environmental conditions in Canada's largest urban areas and provides a means for exploring the role of environmental factors in explaining urban health inequalities and disparities. Additionally, the Can-EQI may be of value to municipal planners and decision makers considering the allocation of investments to improve urban conditions.
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Affiliation(s)
- Zoë Davis
- School of Ecosystem and Forest Sciences, Faculty of Science, University of Melbourne, Richmond, VIC 3121, Australia
| | - Margaret de Groh
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON K1A 0K9, Canada
| | - Daniel G Rainham
- School of Health and Human Performance, Faculty of Health, Dalhousie University, Halifax, NS B3H 4R2, Canada; Healthy Populations Institute, Dalhousie University, Halifax, NS B3H 4R2, Canada.
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19
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Yan M, Ge H, Zhang L, Chen X, Yang X, Liu F, Shan A, Liang F, Li X, Ma Z, Dong G, Liu Y, Chen J, Wang T, Zhao B, Zeng Q, Lu X, Liu Y, Tang NJ. Long-term PM 2.5 exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 244:114025. [PMID: 36049332 PMCID: PMC10380089 DOI: 10.1016/j.ecoenv.2022.114025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 06/15/2023]
Abstract
Several literatures have examined the risk of chronic respiratory diseases in association with short-term ambient PM2.5 exposure in China. However, little evidence has examined the chronic impacts of PM2.5 exposure on morbidity of chronic respiratory diseases in cohorts from high pollution countries. Our study aims to investigate the associations. Based on a retrospective cohort among adults in northern China, a Cox regression model with time-varying PM2.5 exposure and a concentration-response (C-R) curve model were performed to access the relationships between incidence of chronic respiratory diseases and long-term PM2.5 exposure during a mean follow-up time of 9.8 years. Individual annual average PM2.5 estimates were obtained from a satellite-based model with high resolution. The incident date of a chronic respiratory disease was identified according to self-reported physician diagnosis time and/or intake of medication for treatment. Among 38,047 urban subjects analyzed in all-cause chronic respiratory disease cohort, 482 developed new cases. In CB (38,369), asthma (38,783), and COPD (38,921) cohorts, the onsets were 276, 89, and 14, respectively. After multivariable adjustment, hazard ratio and 95% confidence interval for morbidity of all-cause chronic respiratory disease, CB, asthma, and COPD were 1.15 (1.01, 1.31), 1.20 (1.00, 1.42), 0.76 (0.55, 1.04), and 0.66 (0.29, 1.47) with each 10 μg/m3 increment in PM2.5, respectively. Stronger effect estimates were suggested in alcohol drinkers across stratified analyses. Additionally, the shape of C-R curve showed an increasing linear relationship before 75.00 μg/m3 concentrations of PM2.5 for new-onset all-cause chronic respiratory disease, and leveled off at higher levels. These findings indicated that long-term exposure to high-level PM2.5 increased the risks of incident chronic respiratory diseases in China. Further evidence of C-R curves is warranted to clarify the associations of adverse chronic respiratory outcomes involving air pollution.
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Affiliation(s)
- Mengfan Yan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Han Ge
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xuejun Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhao Ma
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Guanghui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yamin Liu
- School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Jie Chen
- Department of Occupational and Environmental Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Tong Wang
- School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Baoxin Zhao
- Taiyuan Center for Disease Control and Prevention, Taiyuan 030001, China
| | - Qiang Zeng
- Tianjin Center for Disease Control and Prevention, Tianjin 300011, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Nai-Jun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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20
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Markozannes G, Pantavou K, Rizos EC, Sindosi OΑ, Tagkas C, Seyfried M, Saldanha IJ, Hatzianastassiou N, Nikolopoulos GK, Ntzani E. Outdoor air quality and human health: An overview of reviews of observational studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 306:119309. [PMID: 35469927 DOI: 10.1016/j.envpol.2022.119309] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 03/15/2022] [Accepted: 04/12/2022] [Indexed: 06/14/2023]
Abstract
The epidemiological evidence supporting putative associations between air pollution and health-related outcomes continues to grow at an accelerated pace with a considerable heterogeneity and with varying consistency based on the outcomes assessed, the examined surveillance system, and the geographic region. We aimed to evaluate the strength of this evidence base, to identify robust associations as well as to evaluate effect variation. An overview of reviews (umbrella review) methodology was implemented. PubMed and Scopus were systematically screened (inception-3/2020) for systematic reviews and meta-analyses examining the association between air pollutants, including CO, NOX, NO2, O3, PM10, PM2.5, and SO2 and human health outcomes. The quality of systematic reviews was evaluated using AMSTAR. The strength of evidence was categorized as: strong, highly suggestive, suggestive, or weak. The criteria included statistical significance of the random-effects meta-analytical estimate and of the effect estimate of the largest study in a meta-analysis, heterogeneity between studies, 95% prediction intervals, and bias related to small study effects. Seventy-five systematic reviews of low to moderate methodological quality reported 548 meta-analyses on the associations between outdoor air quality and human health. Of these, 57% (N = 313) were not statistically significant. Strong evidence supported 13 associations (2%) between elevated PM2.5, PM10, NO2, and SO2 concentrations and increased risk of cardiorespiratory or pregnancy/birth-related outcomes. Twenty-three (4%) highly suggestive associations were identified on elevated PM2.5, PM10, O3, NO2, and SO2 concentrations and increased risk of cardiorespiratory, kidney, autoimmune, neurodegenerative, cancer or pregnancy/birth-related outcomes. Sixty-seven (12%), and 132 (24%) meta-analyses were graded as suggestive, and weak, respectively. Despite the abundance of research on the association between outdoor air quality and human health, the meta-analyses of epidemiological studies in the field provide evidence to support robust associations only for cardiorespiratory or pregnancy/birth-related outcomes.
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Affiliation(s)
- Georgios Markozannes
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Evangelos C Rizos
- Department of Internal Medicine, University Hospital of Ioannina, Ioannina, Greece; School of Medicine, European University Cyprus, Nicosia, Cyprus; Hellenic Open University, Patra, Greece
| | - Ourania Α Sindosi
- Laboratory of Meteorology, Department of Physics, University of Ioannina, Ioannina, Greece
| | - Christos Tagkas
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Maike Seyfried
- Faculty of Medicine, University of Tuebingen, Tuebingen, Germany
| | - Ian J Saldanha
- Center for Evidence Synthesis in Health, Department of Health Services, Policy, and Practice, and Department of Epidemiology, School of Public Health, Brown University, RI, USA
| | - Nikos Hatzianastassiou
- Laboratory of Meteorology, Department of Physics, University of Ioannina, Ioannina, Greece
| | | | - Evangelia Ntzani
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Center for Evidence Synthesis in Health, Department of Health Services, Policy, and Practice, and Department of Epidemiology, School of Public Health, Brown University, RI, USA.
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21
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Aktas S, Tuzuner B, Mergen M, Sultan-Ali I, Kocak M. Spatial Association of Environmental and Dietary Factors with COPD Deaths. Int J Chron Obstruct Pulmon Dis 2022; 17:1643-1650. [PMID: 35923360 PMCID: PMC9341355 DOI: 10.2147/copd.s364076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/25/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction Chronic obstructive pulmonary disease (COPD) remains a significant health concern globally and spatiotemporal investigations on the etiology and progression of COPD are needed to develop more effective and timely preventive measures. To address this continuing need, we explored the association of air-quality and meteorological markers, fruit and vegetable consumption and drinking water source trajectories with COPD death rate. Methods For 81 provinces of Turkey, we extracted and merged data in four dimensions: provincial COPD deaths, provincial annual meteorological and air-quality markers, drinking water source data covering rivers, dams, wells, and springs, and annual provincial fruits and vegetables consumption. To investigate the association of these markers with COPD deaths, we used a spatial modelling approach accounting for the spatial autocorrelation. Results Controlling for household expenditure on cigarette and alcohol and elderly population size, our models suggest that provinces with higher consumption of lemon and higher temperature reported lower level of COPD deaths and provinces high in Nitrogen Dioxide concentration reported higher COPD deaths on average. Conclusion Therefore, provinces with such profiles need to develop closer screening and follow-up of patients with COPD and encourage healthier diets and lifestyles. ![]()
Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/zhV4_kV0yoA
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Affiliation(s)
- Selman Aktas
- School of Medicine, Health Sciences University, Istanbul, Turkey
- School of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Begum Tuzuner
- School of Engineering, Bogazici University, Istanbul, Turkey
| | - Mahmut Mergen
- International School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Ibrahim Sultan-Ali
- School of Medicine, the University of Tennessee Health Science Center, Memphis, TN, USA
| | - Mehmet Kocak
- International School of Medicine, Istanbul Medipol University, Istanbul, Turkey
- Correspondence: Mehmet Kocak, Email
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22
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Iskandaryan D, Ramos F, Trilles S. Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid. PLoS One 2022; 17:e0269295. [PMID: 35648766 PMCID: PMC9159618 DOI: 10.1371/journal.pone.0269295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/18/2022] [Indexed: 12/03/2022] Open
Abstract
Nitrogen dioxide is one of the pollutants with the most significant health effects. Advanced information on its concentration in the air can help to monitor and control further consequences more effectively, while also making it easier to apply preventive and mitigating measures. Machine learning technologies with available methods and capabilities, combined with the geospatial dimension, can perform predictive analyses with higher accuracy and, as a result, can serve as a supportive tool for productive management. One of the most advanced machine learning algorithms, Bidirectional convolutional LSTM, is being used in ongoing work to predict the concentration of nitrogen dioxide. The model has been validated to perform more accurate spatiotemporal analysis based on the integration of temporal and geospatial factors. The analysis was carried out according to two scenarios developed on the basis of selected features using data from the city of Madrid for the periods January-June 2019 and January-June 2020. Evaluation of the model’s performance was conducted using the Root Mean Square Error and the Mean Absolute Error which emphasises the superiority of the proposed model over the reference models. In addition, the significance of a feature selection technique providing improved accuracy was underlined. In terms of execution time, due to the complexity of the Bidirectional convolutional LSTM architecture, convergence and generalisation of the data took longer, resulting in the superiority of the reference models.
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Affiliation(s)
- Ditsuhi Iskandaryan
- Institute of New Imaging Technologies (INIT), Universitat Jaume I, Castelló de la Plana, Castellón, Spain
- * E-mail:
| | - Francisco Ramos
- Institute of New Imaging Technologies (INIT), Universitat Jaume I, Castelló de la Plana, Castellón, Spain
| | - Sergio Trilles
- Institute of New Imaging Technologies (INIT), Universitat Jaume I, Castelló de la Plana, Castellón, Spain
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23
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Association between Ambient Air Pollutants and Pneumonia in Wuhan, China, 2014–2017. ATMOSPHERE 2022. [DOI: 10.3390/atmos13040578] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Objectives: To assess associations between short-time air pollution exposure and outpatient visits for pneumonia by the distributed lag nonlinear model (DLNM). Methods: Daily outpatient visits for pneumonia and air pollutant data were collected from Wuhan Basic Medical Insurance Database in China and 10 national air quality monitoring stations in Wuhan from 2014 to 2017, respectively. Taking the first percentile of the concentration as the reference, DLNM was used to estimate the impact of moderate (50th) and high levels (99th) of pollutants on pneumonia. Results: A total of 133,882 outpatient visits were identified during the period of the study. Moderate-level (P50) fine particulate matter (PM2.5) or sulfur dioxide (SO2) and high-level nitrogen dioxide (NO2) (P99) can increase the risk of pneumonia. The maximum RR was 1.198 (95% CI: 1.094–1.311) at lag0-11, 1.304 (95% CI: 1.166–1.458) at lag0-13, and 1.286 (95% CI: 1.060–1.561) at lag0-14, respectively. Females and children had greater risks. Conclusions: Short-time PM2.5, SO2, and NO2 exposure were associated with outpatient visits for pneumonia in Wuhan, China.
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Zhang Y, Li Z, Wei J, Zhan Y, Liu L, Yang Z, Zhang Y, Liu R, Ma Z. Longitudinal association between ambient nitrogen dioxide exposure and all-cause mortality in Chinese adults. J Adv Res 2022; 41:13-22. [DOI: 10.1016/j.jare.2022.02.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/18/2022] [Accepted: 02/16/2022] [Indexed: 12/01/2022] Open
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De Matteis S, Forastiere F, Baldacci S, Maio S, Tagliaferro S, Fasola S, Cilluffo G, La Grutta S, Viegi G. Issue 1 - “Update on adverse respiratory effects of outdoor air pollution”. Part 1): Outdoor air pollution and respiratory diseases: A general update and an Italian perspective. Pulmonology 2022; 28:284-296. [DOI: 10.1016/j.pulmoe.2021.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 12/12/2021] [Indexed: 10/19/2022] Open
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Mapping the Morbidity Risk Associated with Coal Mining in Queensland, Australia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031206. [PMID: 35162230 PMCID: PMC8834562 DOI: 10.3390/ijerph19031206] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/10/2022] [Accepted: 01/15/2022] [Indexed: 01/14/2023]
Abstract
The populations in the vicinity of surface coal mining activities have a higher risk of morbidity due to diseases, such as cardiovascular, respiratory and hypertensive diseases, as well as cancer and diabetes mellitus. Despite the large and historical volume of coal production in Queensland, the main Australian coal mining state, there is little research on the association of coal mining exposures with morbidity in non-occupational populations in this region. This study explored the association of coal production (Gross Raw Output—GRO) with hospitalisations due to six disease groups in Queensland using a Bayesian spatial hierarchical analysis and considering the spatial distribution of the Local Government Areas (LGAs). There is a positive association of GRO with hospitalisations due to circulatory diseases (1.022, 99% CI: 1.002–1.043) and respiratory diseases (1.031, 95% CI: 1.001–1.062) for the whole of Queensland. A higher risk of circulatory, respiratory and chronic lower respiratory diseases is found in LGAs in northwest and central Queensland; and a higher risk of hypertensive diseases, diabetes mellitus and lung cancer is found in LGAs in north, west, and north and southeast Queensland, respectively. These findings can be used to support public health strategies to protect communities at risk. Further research is needed to identify the causal links between coal mining and morbidity in non-occupational populations in Queensland.
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Environmental Exposures and Lung Aging: Molecular Mechanisms and Implications for Improving Respiratory Health. Curr Environ Health Rep 2021; 8:281-293. [PMID: 34735706 PMCID: PMC8567983 DOI: 10.1007/s40572-021-00328-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW Inhaled environmental exposures cause over 12 million deaths per year worldwide. Despite localized efforts to reduce environmental exposures, tobacco smoking and air pollution remain the urgent public health challenges that are contributing to the growing prevalence of respiratory diseases. The purpose of this review is to describe the mechanisms through which inhaled environmental exposures accelerate lung aging and cause overt lung disease. RECENT FINDINGS Environmental exposures related to fossil fuel and tobacco combustion and occupational exposures related to silica and coal mining generate oxidative stress and inflammation in the lungs. Sustained oxidative stress causes DNA damage, epigenetic instability, mitochondrial dysfunction, and cell cycle arrest in key progenitor cells in the lung. As a result, critical repair mechanisms are impaired, leading to premature destruction of the lung parenchyma. Inhaled environmental exposures accelerate lung aging by injuring the lungs and damaging the cells responsible for wound healing. Interventions that minimize exposure to noxious antigens are critical to improve lung health, and novel research is required to expand our knowledge of therapies that may slow or prevent premature lung aging.
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Wang M, Li H, Huang S, Qian Y, Steenland K, Xie Y, Papatheodorou S, Shi L. Short-term exposure to nitrogen dioxide and mortality: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2021; 202:111766. [PMID: 34331919 PMCID: PMC8578359 DOI: 10.1016/j.envres.2021.111766] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 07/18/2021] [Accepted: 07/23/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Ambient air pollution has been characterized as a leading cause of mortality worldwide and has been associated with cardiovascular and respiratory diseases. There is increasing evidence that short-term exposure to nitrogen dioxide (NO2), is related to adverse health effects and mortality. METHODS We conducted a systematic review of short-term NO2 and daily mortality, which were indexed in PubMed and Embase up to June 2021. We calculated random-effects estimates by different continents and globally, and tested for heterogeneity and publication bias. RESULTS We included 87 articles in our quantitative analysis. NO2 and all-cause as well as cause-specific mortality were positively associated in the main analysis. For all-cause mortality, a 10 ppb increase in NO2 was associated with a 1.58% (95%CI 1.28%-1.88%, I2 = 96.3%, Eggers' test p < 0.01, N = 57) increase in the risk of death. For cause-specific mortality, a 10 ppb increase in NO2 was associated with a 1.72% (95%CI 1.41%-2.04%, I2 = 87.4%, Eggers' test p < 0.01, N = 42) increase in cardiovascular mortality and a 2.05% (95%CI 1.52%-2.59%, I2 = 78.5%, Eggers' test p < 0.01, N = 38) increase in respiratory mortality. In the sensitivity analysis, the meta-estimates for all-cause mortality, cardiovascular and respiratory mortality were nearly identical. The heterogeneity would decline to varying degrees through regional and study-design stratification. CONCLUSIONS This study provides evidence of an association between short-term exposure to NO2, a proxy for traffic-sourced air pollutants, and all-cause, cardiovascular and respiratory mortality.
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Affiliation(s)
- Mingrui Wang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Haomin Li
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Shiwen Huang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yaoyao Qian
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, China
| | | | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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Yan W, Ma L, Xu J, Guo Y, Hu H, Zhi C, Ho D. Battery-Sensor Hybrid: A New Gas Sensing Paradigm with Complete Energy Self-Sufficiency. ACS APPLIED MATERIALS & INTERFACES 2021; 13:46507-46517. [PMID: 34569776 DOI: 10.1021/acsami.1c09255] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Fully autonomous operation has long been an ultimate goal in environmental sensing. Although self-powered gas sensors based on energy harvesting have been widely reported to provide power for autonomous operation, these sensors rely on external sources of harvestable energy, thus are not completely self-sufficient. Herein, a battery-sensor hybrid device that can simultaneously function as both a power source and a gas sensor is presented. The battery-sensor consists of a cathode that reduces NO2 to NO2- via a catalyst with Fe-Nx species distributed on highly graphitic porous nitrogen-doped carbon. On the basis of the efficient and selective electrocatalytic activity of the catalyst, the battery-sensor is capable of sensing NO2 and does so without any external power, overcoming the long-standing grand challenge to achieve complete energy self-sufficiency. Furthermore, through controlling the working current the sensing range can be significantly expanded and electronically tuned, which is not only unprecedented for gas sensors but also of remarkable commercial practicality. The proposed battery-sensor hybrid architecture represents a new paradigm toward sensors with complete energy self-sufficiency.
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Affiliation(s)
- Wenhao Yan
- Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P.R. China
| | - Longtao Ma
- Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P.R. China
| | - Jiangang Xu
- Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P.R. China
| | - Ying Guo
- Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P.R. China
| | - Haibo Hu
- Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P.R. China
- School of Physics and Materials Science, Key Laboratory of Structure and Functional Regulation of Hybrid Materials, Ministry of Education, Anhui University, Hefei 230601, China
| | - Chunyi Zhi
- Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P.R. China
| | - Derek Ho
- Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong 999077, P.R. China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong Science Park, Hong Kong SAR, 999077, China
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The Impact of Air Pollutants and Meteorological Factors on Chronic Obstructive Pulmonary Disease Exacerbations: A Nationwide Study. Ann Am Thorac Soc 2021; 19:214-226. [PMID: 34499589 DOI: 10.1513/annalsats.202103-298oc] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
RATIONALE Chronic obstructive lung disease (COPD) is a chronic progressive disease. Although smoking is the most important risk factor, 30% of COPD patients are never smokers, and environmental agents are also influential. The effects of air pollutants and meteorological factors on COPD exacerbations have not been studied extensively. OBJECTIVE We aimed to investigate the air pollutants and meteorological factors that impact the incidence of COPD exacerbations. METHODS We obtained clinical data of COPD exacerbation cases from The National Health Insurance Service (NHIS) and merged it with 24-hour average values of air pollutants and meteorological factors from national databases. Patients who reside in eight metropolitan cities, where observatory stations are densely located, were selected for analysis. RESULTS In 1,404,505 COPD patients between 2013 and 2018, 15,282 COPD exacerbations leading to hospitalization or emergency room visits were identified. Among the various air pollutants and meteorological factors, particulate matter (PM)2.5, PM10, NO2, SO2, CO, O3, average temperature and diurnal temperature range (DTR) were associated with COPD exacerbations. GAM model analysis with cubic splines showed an inverted U-shaped relationship with PM2.5, PM10, CO, NO2, SO2, O3, DTR and humidity, while it displayed a U-shaped pattern with the average temperature. Distinct patterns were found from 2015-2016 to 2017-2018. CONCLUSIONS PM2.5, PM10, CO, NO2, O3, SO2, average temperature, humidity, and DTR affected the incidence of COPD exacerbations in various patterns, up to 10 lag days.
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Huang J, Li J, Yin P, Wang L, Pan X, Zhou M, Li G. Ambient nitrogen dioxide and years of life lost from chronic obstructive pulmonary disease in the elderly: A multicity study in China. CHEMOSPHERE 2021; 275:130041. [PMID: 33652282 DOI: 10.1016/j.chemosphere.2021.130041] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 01/29/2021] [Accepted: 02/16/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, and nitrogen dioxide (NO2) is a potential environmental risk factor for COPD. However, association between ambient NO2 and COPD risk remains underrecognized, especially in the elderly. This study aimed to explore association between NO2 and years of life lost (YLL) from COPD in the elderly from 2013 to 2017 in 37 major cities in China. METHODS Ambient NO2 data and COPD morality information were obtained from the National Urban Air Quality Real-time Publishing Platform and the Chinese Centers for Disease Control and Prevention, respectively. City-specific relative changes in YLL were estimated by generalized additive models, and meta-analysis was used to combine city-specific results. Potential modifications were evaluated. Economic loss due to excess YLL from COPD associated with ambient NO2 was evaluated. RESULTS An increase of 10 μg/m3 in NO2 for 2-day moving average led to 0.94% (95% CI: 0.56%, 1.31%) relative increase in COPD YLL. The associations were significantly higher in South than North China. Higher estimated effects were found in the warm than the cool season in the southern region. The relevant economic loss accounted for 0.04% (95% CI: 0.02%, 0.05%) of the gross domestic product (GDP) in China during the same period. CONCLUSIONS The findings provide evidence on the impact of short-term NO2 exposure on COPD YLL in the elderly, which indicated more stringent control of NO2 pollution and highlighted the need to protect the elderly during the warm season in South China.
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Affiliation(s)
- Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Jie Li
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
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Kasdagli MI, Katsouyanni K, de Hoogh K, Lagiou P, Samoli E. Associations of air pollution and greenness with mortality in Greece: An ecological study. ENVIRONMENTAL RESEARCH 2021; 196:110348. [PMID: 33127394 DOI: 10.1016/j.envres.2020.110348] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 10/01/2020] [Accepted: 10/12/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Epidemiological studies have documented the adverse effects of long-term exposure to fine particulate matter (PM2.5) on health, while there has been less research on the effects of nitrogen dioxide (NO2), black carbon (BC) and especially ozone (O3). Furthermore, there is limited evidence for the synergistic effects of exposure to pollutants and greenness. We investigated the association of long-term exposure to air pollution and greenness with natural-cause, cardiovascular and respiratory mortality in Greece using an ecological study design. METHODS Mortality and socioeconomic data were obtained from 1035 municipal units from the 2011 census data. Annual average PM2.5, NO2, BC and O3 concentrations for 2010 were derived from 100 × 100 m surfaces predicted by hybrid LUR models. The normalized difference vegetation index was used to assess greenness. We applied Poisson regression models on standardized mortality rates adjusted for socioeconomic indicators and lung cancer rates, accounting for spatial autocorrelation. The analysis was conducted initially for the whole country and then separately for urban and rural areas. We assessed interactions between pollutants and greenness and applied two-exposure models. RESULTS An interquartile range (IQR) increase in PM2.5, NO2 and BC was associated with increases in natural-cause mortality (Relative Risk (RR) 1.09, 95% confidence interval (CI): 1.08, 1.11; RR 1.03 (95% CI: 1.03, 1.04) and RR 1.02 (95% CI: 1.02, 1.03), respectively), while PM2.5 and NO2 were also associated with cause-specific mortality. Greenness was associated with lower natural-cause (RR 0.95, 95% CI: 0.94, 0.96 per IQR) and cause-specific mortality. For all outcomes we estimated a protective association with O3 (natural-cause mortality RR 0.79, 95% CI: 0.76, 0.82 per IQR). All associations were stronger in urban areas. We estimated negative statistically significant interactions between air pollution and greenness for respiratory morality and positive ones for cardiovascular mortality. Estimates were mostly robust to co-exposure adjustment. CONCLUSIONS Our findings support associations of air pollution and greenness with mortality, both in urban and rural areas of Greece. Further research is needed to elaborate on the synergies in cause-specific mortality. Our results on the interactions between pollutants and greenness may imply differential biological mechanisms for cause-specific mortality and warrant further investigation.
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Affiliation(s)
- Maria-Iosifina Kasdagli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Environmental Research Group, MRC Centre for Environment and Health, Imperial College, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
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Shin HH, Parajuli RP, Gogna P, Maquiling A, Dehghani P. Pollutant-sex specific differences in respiratory hospitalization and mortality risk attributable to short-term exposure to ambient air pollution. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 755:143135. [PMID: 33168238 DOI: 10.1016/j.scitotenv.2020.143135] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/11/2020] [Accepted: 10/13/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Many studies have reported associations of individual pollutants with respiratory hospitalization and mortality based on different populations, which makes it difficult to directly compare adverse health effects among multiple air pollutants. OBJECTIVES The study goal is to compare acute respiratory-related hospitalization and mortality associated with short-term exposure to three ambient air pollutants and analyze differences in health risks by season, age and sex. METHODS Hourly measurements of air pollutants (ozone, NO2, PM2.5) and temperature were collected from ground-monitors for 24 cities along with daily hospitalization (1996-2012) and mortality (1984-2012) data. National associations between air pollutant and health outcome were estimated for season (warm, cold vs. year-round), age (base ≥ 1, seniors > 65), and sex (females ≥ 1 and males ≥ 1) using Bayesian hierarchical models. RESULTS Overall, the three air pollutants were significantly associated with acute respiratory health outcomes at different lag-days. For respiratory hospitalization, the increased risks in percent changes with 95% posterior intervals for a 10-unit increase in each pollutant were: ozone (lag1, 0.7% (0.4, 0.9)), NO2 (lag0, 0.7% (0.1, 1.4)), and PM2.5 (lag1, 1.3% (0.7, 1.9)). For respiratory mortality: ozone (lag2, 1.2% (0.4, 1.9)), NO2 (lag1, 2.1% (0.6, 3.5)), and PM2.5 (lag1, 0.6% (-1.0, 2.2)). While some differences in risk were observed by season and age group, sex-specific differences were more pronounced. Compared with males, females had a higher respiratory mortality risk (1.8% (0.6, 2.9) vs 0.5% (-0.3, 1.3)) from ozone, a higher respiratory hospitalization risk (0.9% (0.0, 1.8) vs 0.6% (-0.3, 1.4)) but lower mortality risk (1.4% (-1.0, 3.7) vs 2.2% (0.4, 4.0)) from NO2, and a lower hospitalization risk (0.7% (-0.2, 1.7) vs 1.8% (1.0, 2.6)) from PM2.5. CONCLUSION This study reports significant health effects of short-term exposure to three ambient air pollutants on respiratory hospitalization (ozone≈NO2 < PM2.5 per-10 unit; ozone>NO2 ≈ PM2.5 per-IQR) and mortality (ozone≈NO2 > PM2.5) in Canada. Pollutant-sex-specific differences were found, but inconclusive due to limited biological and physiological explanations. Further studies are warranted to understand the pollutant-sex specific differences.
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Affiliation(s)
- Hwashin Hyun Shin
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada; Department of Mathematics and Statistics, Queen's University, Kingston, ON, Canada.
| | | | - Priyanka Gogna
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada.
| | - Aubrey Maquiling
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada.
| | - Parvin Dehghani
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada.
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Konstantinoudis G, Padellini T, Bennett J, Davies B, Ezzati M, Blangiardo M. Long-term exposure to air-pollution and COVID-19 mortality in England: A hierarchical spatial analysis. ENVIRONMENT INTERNATIONAL 2021; 146:106316. [PMID: 33395952 PMCID: PMC7786642 DOI: 10.1016/j.envint.2020.106316] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 11/10/2020] [Accepted: 11/30/2020] [Indexed: 05/18/2023]
Abstract
Recent studies suggested a link between long-term exposure to air-pollution and COVID-19 mortality. However, due to their ecological design based on large spatial units, they neglect the strong localised air-pollution patterns, and potentially lead to inadequate confounding adjustment. We investigated the effect of long-term exposure to NO2 and PM2.5 on COVID-19 mortality in England using high geographical resolution. In this nationwide cross-sectional study in England, we included 38,573 COVID-19 deaths up to June 30, 2020 at the Lower Layer Super Output Area level (n = 32,844 small areas). We retrieved averaged NO2 and PM2.5 concentration during 2014-2018 from the Pollution Climate Mapping. We used Bayesian hierarchical models to quantify the effect of air-pollution while adjusting for a series of confounding and spatial autocorrelation. We find a 0.5% (95% credible interval: -0.2%, 1.2%) and 1.4% (95% CrI: -2.1%, 5.1%) increase in COVID-19 mortality risk for every 1 μg/m3 increase in NO2 and PM2.5 respectively, after adjusting for confounding and spatial autocorrelation. This corresponds to a posterior probability of a positive effect equal to 0.93 and 0.78 respectively. The spatial relative risk at LSOA level revealed strong patterns, similar for the different pollutants. This potentially captures the spread of the disease during the first wave of the epidemic. Our study provides some evidence of an effect of long-term NO2 exposure on COVID-19 mortality, while the effect of PM2.5 remains more uncertain.
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Affiliation(s)
- Garyfallos Konstantinoudis
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
| | - Tullia Padellini
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - James Bennett
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Bethan Davies
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Majid Ezzati
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Marta Blangiardo
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Elbarbary M, Oganesyan A, Honda T, Kelly P, Zhang Y, Guo Y, Morgan G, Guo Y, Negin J. Ambient air pollution, lung function and COPD: cross-sectional analysis from the WHO Study of AGEing and adult health wave 1. BMJ Open Respir Res 2020; 7:e000684. [PMID: 33334858 PMCID: PMC7747603 DOI: 10.1136/bmjresp-2020-000684] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 10/10/2020] [Accepted: 11/23/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Long-term exposure to ambient air pollution leads to respiratory morbidity and mortality; however, the evidence of the effect on lung function and chronic obstructive pulmonary disease (COPD) in older adult populations is inconsistent. OBJECTIVE To address this knowledge gap, we investigated the associations between particulate matter (PM), nitrogen dioxide (NO2) exposure and lung function, as well as COPD prevalence, in older Chinese adults. METHODS We used data from the WHO Study on global AGEing and adult health (SAGE) China Wave 1, which includes 111 693 participants from 64 townships in China. A cross-sectional analysis explored the association between satellite-based air pollution exposure estimates (PM with an aerodynamic diameter of ≤10 µm [PM10], ≤2.5 µm [PM2.5] and NO2) and forced expiratory volume in one second (FEV1), forced vital capacity (FVC), the FEV1/FVC ratio and COPD (defined as post-bronchodilator FEV1/FVC <70%). Data on lung function changes were further stratified by COPD status. RESULTS Higher exposure to each pollutant was associated with lower lung function. An IQR (26.1 µg/m3) increase in PM2.5 was associated with lower FEV1 (-71.88 mL, 95% CI -92.13 to -51.64) and FEV1/FVC (-2.81 mL, 95% CI -3.37 to -2.25). For NO2, an IQR increment of 26.8 µg/m3 was associated with decreases in FEV1 (-60.12 mL, 95% CI -84.00 to -36.23) and FVC (-32.33 mL, 95% CI -56.35 to -8.32). A 31.2 µg/m3 IQR increase in PM10 was linked to reduced FEV1 (-8.86 mL, 95% CI -5.40 to 23.11) and FEV1/FVC (-1.85 mL, 95% CI -2.24 to -1.46). These associations were stronger for participants with COPD. Also, COPD prevalence was linked to higher levels of PM2.5 (POR 1.35, 95% CI 1.26 to 1.43), PM10 (POR 1.24, 95% CI 1.18 to 1.29) and NO2 (POR 1.04, 95% CI 0.98 to 1.11). CONCLUSION Ambient air pollution was associated with lower lung function, especially in individuals with COPD, and increased COPD prevalence in older Chinese adults.
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Affiliation(s)
- Mona Elbarbary
- School of Public health, The University of Sydney, Sydney, New South Wales, Australia
| | - Artem Oganesyan
- Department of Hematology and Transfusion Medicine, National Institute of Health, Yerevan, Armenia
| | - Trenton Honda
- Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA
| | - Patrick Kelly
- School of Public health, The University of Sydney, Sydney, New South Wales, Australia
| | - Ying Zhang
- School of Public health, The University of Sydney, Sydney, New South Wales, Australia
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, Monash Medical School, Clayton, Victoria, Australia
| | - Geoffrey Morgan
- School of Public health, The University of Sydney, Sydney, New South Wales, Australia
| | - Yanfei Guo
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Joel Negin
- School of Public health, The University of Sydney, Sydney, New South Wales, Australia
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Orellano P, Reynoso J, Quaranta N, Bardach A, Ciapponi A. Short-term exposure to particulate matter (PM 10 and PM 2.5), nitrogen dioxide (NO 2), and ozone (O 3) and all-cause and cause-specific mortality: Systematic review and meta-analysis. ENVIRONMENT INTERNATIONAL 2020; 142:105876. [PMID: 32590284 DOI: 10.1016/j.envint.2020.105876] [Citation(s) in RCA: 246] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 06/01/2020] [Accepted: 06/03/2020] [Indexed: 05/18/2023]
Abstract
BACKGROUND Air pollution is a leading cause of mortality and morbidity worldwide. Short-term exposure (from one hour to days) to selected air pollutants has been associated with human mortality. This systematic review was conducted to analyse the evidence on the effects of short-term exposure to particulate matter with aerodynamic diameters less or equal than 10 and 2.5 µm (PM10, PM2.5), nitrogen dioxide (NO2), and ozone (O3), on all-cause mortality, and PM10 and PM2.5 on cardiovascular, respiratory, and cerebrovascular mortality. METHODS We included studies on human populations exposed to outdoor air pollution from any source, excluding occupational exposures. Relative risks (RRs) per 10 µg/m3 increase in air pollutants concentrations were used as the effect estimates. Heterogeneity between studies was assessed using 80% prediction intervals. Risk of bias (RoB) in individual studies was analysed using a new domain-based assessment tool, developed by a working group convened by the World Health Organization and designed specifically to evaluate RoB within eligible air pollution studies included in systematic reviews. We conducted subgroup and sensitivity analyses by age, sex, continent, study design, single or multicity studies, time lag, and RoB. The certainty of evidence was assessed for each exposure-outcome combination. The protocol for this review was registered with PROSPERO (CRD42018087749). RESULTS We included 196 articles in quantitative analysis. All combinations of pollutants and all-cause and cause-specific mortality were positively associated in the main analysis, and in a wide range of sensitivity analyses. The only exception was NO2, but when considering a 1-hour maximum exposure. We found positive associations between pollutants and all-cause mortality for PM10 (RR: 1.0041; 95% CI: 1.0034-1.0049), PM2.5 (RR: 1.0065; 95% CI: 1.0044-1.0086), NO2 (24-hour average) (RR: 1.0072; 95% CI: 1.0059-1.0085), and O3 (RR: 1.0043; 95% CI: 1.0034-1.0052). PM10 and PM2.5 were also positively associated with cardiovascular, respiratory, and cerebrovascular mortality. We found some degree of heterogeneity between studies in three exposure-outcome combinations, and this heterogeneity could not be explained after subgroup analysis. RoB was low or moderate in the majority of articles. The certainty of evidence was judged as high in 10 out of 11 combinations, and moderate in one combination. CONCLUSIONS This study found evidence of a positive association between short-term exposure to PM10, PM2.5, NO2, and O3 and all-cause mortality, and between PM10 and PM2.5 and cardiovascular, respiratory and cerebrovascular mortality. These results were robust through several sensitivity analyses. In general, the level of evidence was high, meaning that we can be confident in the associations found in this study.
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Affiliation(s)
- Pablo Orellano
- Centro de Investigaciones y Transferencia San Nicolás, Universidad Tecnológica Nacional (CONICET), San Nicolás, Argentina.
| | | | - Nancy Quaranta
- Facultad Regional San Nicolás, Universidad Tecnológica Nacional, San Nicolás, Argentina; Comisión de Investigaciones Científicas de la Provincia de Buenos Aires, La Plata, Argentina
| | - Ariel Bardach
- Instituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina
| | - Agustin Ciapponi
- Instituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina
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Konstantinoudis G, Padellini T, Bennett J, Davies B, Ezzati M, Blangiardo M. Long-term exposure to air-pollution and COVID-19 mortality in England: a hierarchical spatial analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.08.10.20171421. [PMID: 32817974 PMCID: PMC7430619 DOI: 10.1101/2020.08.10.20171421] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND Recent studies suggested a link between long-term exposure to air-pollution and COVID-19 mortality. However, due to their ecological design, based on large spatial units, they neglect the strong localised air-pollution patterns, and potentially lead to inadequate confounding adjustment. We investigated the effect of long-term exposure to NO2 and PM2.5 on COVID-19 deaths up to June 30, 2020 in England using high geographical resolution. METHODS We included 38 573 COVID-19 deaths up to June 30, 2020 at the Lower Layer Super Output Area level in England (n=32 844 small areas). We retrieved averaged NO2 and PM2.5 concentration during 2014-2018 from the Pollution Climate Mapping. We used Bayesian hierarchical models to quantify the effect of air-pollution while adjusting for a series of confounding and spatial autocorrelation. FINDINGS We find a 0.5% (95% credible interval: -0.2%-1.2%) and 1.4% (-2.1%-5.1%) increase in COVID-19 mortality rate for every 1μg/m3 increase in NO2 and PM2.5 respectively, after adjusting for confounding and spatial autocorrelation. This corresponds to a posterior probability of a positive effect of 0.93 and 0.78 respectively. The spatial relative risk at LSOA level revealed strong patterns, similar for the different pollutants. This potentially captures the spread of the disease during the first wave of the epidemic. INTERPRETATION Our study provides some evidence of an effect of long-term NO2 exposure on COVID-19 mortality, while the effect of PM2.5 remains more uncertain. FUNDING Medical Research Council, Wellcome Trust, Environmental Protection Agency and National Institutes of Health.
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Affiliation(s)
- Garyfallos Konstantinoudis
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Tullia Padellini
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - James Bennett
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Bethan Davies
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Majid Ezzati
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Marta Blangiardo
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Gu X, Guo T, Si Y, Wang J, Zhang W, Deng F, Chen L, Wei C, Lin S, Guo X, Wu S. Association Between Ambient Air Pollution and Daily Hospital Admissions for Depression in 75 Chinese Cities. Am J Psychiatry 2020; 177:735-743. [PMID: 32312109 DOI: 10.1176/appi.ajp.2020.19070748] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Although the association between ambient air pollution and risk of depression has been investigated in several epidemiological studies, the evidence is still lacking for hospital admissions for depression, which indicates a more severe form of depressive episode. The authors used national morbidity data to investigate the association between short-term exposure to ambient air pollution and daily hospital admissions for depression. METHODS Using data from the Chinese national medical insurance databases for urban populations, the authors conducted a two-stage time-series analysis to investigate the associations of short-term exposure to major ambient air pollutants-fine particles (PM2.5), inhalable particles (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO)-and daily hospital admission risk for depression in 75 Chinese cities during the period 2013-2017. RESULTS The authors identified 111,620 hospital admissions for depression in 75 cities. In the single-pollutant models, the effect estimates of all included air pollutants, with the exception of O3, were significant at several lags within 7 days. For example, 10 μg/m3 increases in PM2.5, PM10, and NO2 at lag01 were associated with increases of 0.52% (95% CI=0.03, 1.01), 0.41% (95% CI=0.05, 0.78), and 1.78% (95% CI=0.73, 2.83), respectively, in daily hospital admissions for depression. Subgroup, sensitivity, and two-pollutant model analyses highlighted the robustness of the effect estimates for NO2. CONCLUSIONS The study results suggest that short-term exposure to ambient air pollution is associated with an increased risk of daily hospital admission for depression in the general urban population in China, which may have important implications for improving mental wellness among the public.
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Affiliation(s)
- Xuelin Gu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Tongjun Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Yaqin Si
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Jinxi Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Wangjian Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Libo Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Chen Wei
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Shao Lin
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Shaowei Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
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Richtwerte für Stickstoffdioxid (NO2) in der Innenraumluft. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2019; 62:664-676. [PMID: 30805672 DOI: 10.1007/s00103-019-02891-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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40
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Zhang Z, Wang J, Liu F, Yuan L, Ding M, Chen L, Yuan J, Yang K, Qian J, Lu W. Non-inflammatory emphysema induced by NO2 chronic exposure and intervention with demethylation 5-Azacytidine. Life Sci 2019; 221:121-129. [DOI: 10.1016/j.lfs.2019.02.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2018] [Revised: 02/01/2019] [Accepted: 02/09/2019] [Indexed: 01/04/2023]
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He B, Huang JV, Kwok MK, Au Yeung SL, Hui LL, Li AM, Leung GM, Schooling CM. The association of early-life exposure to air pollution with lung function at ~17.5 years in the "Children of 1997" Hong Kong Chinese Birth Cohort. ENVIRONMENT INTERNATIONAL 2019; 123:444-450. [PMID: 30622069 DOI: 10.1016/j.envint.2018.11.073] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 11/07/2018] [Accepted: 11/28/2018] [Indexed: 05/28/2023]
Abstract
BACKGROUND Early-life air pollution exposure is associated with lung function in children and adolescents. However, whether the association of prenatal and early postnatal exposure to air pollution with lung function continues into adulthood remains unclear. OBJECTIVE To investigate the associations of early exposure to air pollution with lung function at ~17.5 years in a non-western developed setting with more concentrated air pollutants. METHODS We examined the associations of exposure to particular matter with an aerodynamic diameter of <10 μm (PM10), nitrogen dioxides (NO2), nitric oxide (NO), sulfur dioxide (SO2) in standard deviations (SD)) at different early life stages with lung function (indicated by forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and forced expiratory flow at 25%-75% of the pulmonary volume (FEF25%-75%)) in SD at ~17.5 years, personal history of wheezing and asthma in the population-representative Hong Kong Chinese birth cohort "Children of 1997"(n = 2942). RESULTS Higher in utero and infancy and toddlerhood NO2 were associated with lower FEV1 (-0.022, 95% confidence interval (CI) -0.029 to -0.015 and - 0.026, 95% CI -0.033 to -0.019), FEV1/FVC (-0.035, 95% CI -0.050 to -0.021 and -0.052, 95% CI -0.066 to -0.038) and FEF25%-75% (-0.031, 95% CI -0.040 to -0.022 and -0.043, 95% CI -0.051 to -0.035). A similar association was observed for NO. Weak associations of NO2 and NO with FVC were observed (-0.011, 95% CI -0.018 to -0.003 and -0.010, 95% CI -0.020 to -0.001). NOx was associated with higher risk of wheezing (1.08, 95% CI 1.03 to 1.14) but not asthma (1.02, 95% CI 0.94 to 1.11). SO2 and PM10 were not clearly associated with lung function, wheezing or asthma. CONCLUSION Our findings suggest that early exposure to air pollution from NO2 may have long-term effects on lung function, which could affect respiratory health throughout life.
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Affiliation(s)
- Baoting He
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jian V Huang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Man Ki Kwok
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Shiu Lun Au Yeung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Lai Ling Hui
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Pediatrics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Albert M Li
- Department of Pediatrics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Gabriel M Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; City University of New York Graduate School of Public Health and Health Policy, New York, United States.
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Gao N, Li C, Ji J, Yang Y, Wang S, Tian X, Xu KF. Short-term effects of ambient air pollution on chronic obstructive pulmonary disease admissions in Beijing, China (2013-2017). Int J Chron Obstruct Pulmon Dis 2019; 14:297-309. [PMID: 30774327 PMCID: PMC6350834 DOI: 10.2147/copd.s188900] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Purpose Evidence between air pollution and COPD admissions is inconsistent and limited in China. In this study, we aimed to explore the effects of air pollutants on COPD admissions in Beijing, China. Patients and methods Daily COPD hospital admission visits derived from tertiary and secondary hospitals in Beijing were retrieved from January 2013 to February 2017. Air pollutant levels and meteorological data over the same periods were also achieved. Generalized additive model was applied to estimate the percentage changes with 95% CIs in daily admissions corresponding to 10 µg/m3 increases in pollutants levels [1 mg/m3 in carbon monoxide (CO)], stratified by age, gender, and season. Results Seventy-three thousand seventy-six COPD hospital admission visits were included with mean daily visits of 48 (21). Cumulative lag effect with per 10 µg/m3 increase in air pollutant levels was largest for nitrogen dioxide (NO2) with 3.03% (95% CI: 1.82%-4.26%) at lag 06, for sulfur dioxide (SO2) with 2.07% (95% CI: 1.00%-3.15%) at lag 01, for particulate matter ≤10 µm in aerodynamic diameter (PM10) with 0.92% (95% CI: 0.55%-1.30%) at lag 07, and for particulate matter ≤2.5 µm in aerodynamic diameter (PM2.5) with 0.82% (95% CI: 0.38%-1.26%) at lag 06, respectively. Percentage increase for each 1 mg/m3 increase in CO was 5.99% (95% CI: 2.74%-9.34%) at lag 06. Further, stronger effects on COPD admissions were found in warm seasons than in cold seasons. Conclusion Short-term exposures to PM2.5, PM10, NO2, SO2, and CO had adverse effects on COPD hospitalizations in Beijing with different magnitudes and lag days.
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Affiliation(s)
- Nannan Gao
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China,
| | - Chunhou Li
- Office of Medical Insurance, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiadong Ji
- School of Statistics, Shandong University of Finance and Economics, Jinan, China
| | - Yanli Yang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China,
| | - Shaoting Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China,
| | - Xinlun Tian
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China,
| | - Kai-Feng Xu
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China,
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