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Soleimani Z, Azimi P, Haghshenas R, Farzi Y, Taherkhani A, Naddafi K, Yunesian M, Naserinjad M, Behnoush AH, Parizad M, Keyvani M, Hajebi A, Gorgani F, Mirzaei S, Handy RD, Mesdaghinia A, Farzadfar F. Exposure assessment of metal(loids) in indoor air and biomonitoring in six urban residential areas in Iran. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174169. [PMID: 38917899 DOI: 10.1016/j.scitotenv.2024.174169] [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: 05/21/2024] [Accepted: 06/19/2024] [Indexed: 06/27/2024]
Abstract
Exposure to metal(loid)s can cause adverse health effects. This study evaluated the concentrations of aluminum, arsenic, cadmium, chromium, mercury, nickel, and lead in particulate matter <10 μm (PM10) and in the urine of 100 participants from urban residential areas in Iran. A total of 100 residential buildings (one adult from each household) in six cities across Iran were recruited for this study. The levels of metal(loid)s in PM10 and the urine of participants were measured using acid digestion followed by inductively coupled plasma mass spectrometry (ICP-MS). The average (±SE) PM10 concentration in the buildings was 51.7 ± 3.46 μg/m3. Aluminum and cadmium had the highest and lowest concentrations among the metal(loid)s, averaging 3.74 ± 1.26 μg/m3 and 0.01 ± 0.001 μg/m3, respectively. In 85 % of the samples, the concentration of metal(loid)s in indoor air exceeded WHO air quality standards. Cadmium and lead had the highest and lowest numbers of indoor air samples exceeding the recommended standards, respectively. A significant correlation was found between the concentration of metal(loid)s in urine samples and indoor PM10 levels, as well as the wealth index of participants. There was also a significant direct relationship between the concentrations of nickel, arsenic, lead, and mercury in urine and the age of participants. Factors such as building location, type of cooling systems, use of printers at home, and natural ventilation influenced the concentration and types of metal(loid)s in the indoor air.
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Affiliation(s)
- Zahra Soleimani
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parham Azimi
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Rosa Haghshenas
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yosef Farzi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Taherkhani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences. Tehran, Iran
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences. Tehran, Iran
| | - Masud Yunesian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences. Tehran, Iran; Center for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Naserinjad
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Hossein Behnoush
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Marzeih Parizad
- Health and work environment group, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maryam Keyvani
- Environmental Health Group, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirali Hajebi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Gorgani
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Saham Mirzaei
- Institute of methodologies for Environmental Analysis, Italian National Research Council Potenza, Italy
| | - Richard D Handy
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, Drake Circus, Plymouth PL4 8AA, United Kingdom
| | - Alireza Mesdaghinia
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences. Tehran, Iran; Center for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Sapbamrer P, Assavanopakun P, Panumasvivat J. Decadal Trends in Ambient Air Pollutants and Their Association with COPD and Lung Cancer in Upper Northern Thailand: 2013-2022. TOXICS 2024; 12:321. [PMID: 38787100 PMCID: PMC11125922 DOI: 10.3390/toxics12050321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 04/24/2024] [Accepted: 04/27/2024] [Indexed: 05/25/2024]
Abstract
Air pollution in upper northern Thailand raises health concerns. This study examined trends and associations between air pollutants and respiratory diseases, focusing on COPD and lung cancer during haze (December-May) and non-haze (June-November) seasons in upper northern Thailand from 2013 to 2022. This study utilized data from the Pollution Control Department and Chiang Mai Provincial Public Health. The key air pollutants included PM10, PM2.5, SO2, NO2, CO, and O3. Respiratory disease data included fatality rates for lung cancer and COPD and the re-admission rate for COPD. Results indicated peak air pollutant levels and COPD re-admission rates in March, with PM2.5 concentrations exceeding air quality standards from January to April. During haze periods, COPD fatality and re-admission rates significantly increased (mean difference: 0.43 and 4.23 per 1000-case population, respectively; p < 0.001), while lung cancer fatality rates were higher without statistical significance. Pearson correlation analysis found positive correlations between PM10, PM2.5, O3, and NO2 concentrations and COPD re-admission and fatality rates at 0-1 month lag times, with a declining trend observed at subsequent lag intervals of 2 to 3 months. Overall, this study highlights the predictable pattern of air pollution in the region, correlating with higher COPD fatality and re-admission rates.
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Affiliation(s)
- Pachara Sapbamrer
- Department of Academic, Montfort College, Chiang Mai 50000, Thailand
| | - Pheerasak Assavanopakun
- Department of Community Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
- Environmental and Occupational Medicine Excellence Center (EnOMEC), Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Jinjuta Panumasvivat
- Department of Community Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
- Environmental and Occupational Medicine Excellence Center (EnOMEC), Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
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ZHANG D, ZHU S, HOU C, CAI D, XIU G, LUAN S. [Simultaneous detection of lower aliphatic amines and conventional cations in atmospheric PM 2.5 particulates by ion chromatography]. Se Pu 2024; 42:458-464. [PMID: 38736389 PMCID: PMC11089450 DOI: 10.3724/sp.j.1123.2023.10029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Indexed: 05/14/2024] Open
Abstract
Many amine pollutants exist in the atmosphere. Lower aliphatic amines promote the formation and growth of particles into PM2.5, which damages the heart, lungs, and kidneys of the human body. PM2.5, a common atmospheric particulate pollutant with complex compositions, is the main cause of haze weather. Therefore, measuring the contents of lower aliphatic amines and cations in PM2.5 is of great significance for monitoring environmental air quality and protecting human health. This study established a suppressed ion-chromatographic method with conductivity for the simultaneous detection of four lower aliphatic amines (methylamine, dimethylamine, trimethylamine, and ethylamine) and five cations (Na+, N[Formula: see text], and Ca2+ showed high concentrations. The contents of the four lower aliphatic amines were low; however, the ethylamine content in some samples was high. The results indicate that the proposed method meets the quantification requirements for cations and lower aliphatic amines in PM2.5, with simple processing, high sensitivity, and good accuracy. It can quickly and accurately detect a large number of samples and be used to assess the pollution of small particles in the air as well as trace pollution sources to protect human health.
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Downey GP. Medical Industry Contributions to the Climate Crisis: Behind the Green Drapes. CANADIAN JOURNAL OF RESPIRATORY, CRITICAL CARE, AND SLEEP MEDICINE 2023; 7:228-231. [PMID: 38314052 PMCID: PMC10836222 DOI: 10.1080/24745332.2023.2268075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 09/25/2023] [Indexed: 02/06/2024]
Abstract
The climate crisis is rapidly unfolding with immediate, disastrous consequences including rising surface temperatures, melting of icecaps and glaciers, rising of sea levels, and destructive wildfires spanning the globe. The impact of these climate changes on human health is broad, ranging from immediate heat-related deaths to acute and chronic respiratory and cardiovascular illness. Ironically, the healthcare industry itself contributes to climate change in many ways including waste generation, energy consumption, pharmaceutical production, equipment manufacturing, transportation, and infrastructure. In addition to these obvious ways, the use of HFA-propelled MDIs contributes significantly to the climate footprint of healthcare and is easily addressed immediately by changing to DPIs and soft mist inhalers where feasible and appropriate based on patient needs, safety, and availability of inhalers. Implementing carbon offset programs, investing in research and development, and raising awareness among healthcare professionals are crucial components to reform. The healthcare industry must lead by example and commit to long term sustainable practices that not only mitigate the environmental footprint of the healthcare industry but also improve patient outcomes.
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Affiliation(s)
- Gregory P Downey
- Departments of Medicine, Pediatrics, and Immunology and Genomic Medicine, National Jewish Health, Denver, CO USA
- Departments of Medicine, and Immunology and Microbiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
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Podury S, Kwon S, Javed U, Farooqi MS, Li Y, Liu M, Grunig G, Nolan A. Severe Acute Respiratory Syndrome and Particulate Matter Exposure: A Systematic Review. Life (Basel) 2023; 13:538. [PMID: 36836898 PMCID: PMC9962044 DOI: 10.3390/life13020538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Particulate matter (PM) exposure is responsible for seven million deaths annually and has been implicated in the pathogenesis of respiratory infections such as severe acute respiratory syndrome (SARS). Understanding modifiable risk factors of high mortality, resource burdensome C19 and exposure risks such as PM is key to mitigating their devastating effects. This systematic review focuses on the literature available, identifying the spatial and temporal variation in the role of quantified PM exposure in SARS disease outcome and planning our future experimental studies. METHODS The systematic review utilized keywords adhered to the PRISMA guidelines. We included original human research studies in English. RESULTS Initial search yielded N = 906, application of eligibility criteria yielded N = 46. Upon analysis of risk of bias N = 41 demonstrated high risk. Studies found a positive association between elevated PM2.5, PM10 and SARS-related outcomes. A geographic and temporal variation in both PM and C19's role was observed. CONCLUSION C19 is a high mortality and resource intensive disease which devastated the globe. PM exposure is also a global health crisis. Our systematic review focuses on the intersection of this impactful disease-exposure dyad and understanding the role of PM is important in the development of interventions to prevent future spread of viral infections.
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Affiliation(s)
- Sanjiti Podury
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
| | - Sophia Kwon
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
| | - Urooj Javed
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
| | - Muhammad S. Farooqi
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
| | - Yiwei Li
- Department of Population Health, Division of Biostatistics, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (Y.L.); (M.L.)
| | - Mengling Liu
- Department of Population Health, Division of Biostatistics, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (Y.L.); (M.L.)
- Department of Medicine, Division of Environmental Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA;
| | - Gabriele Grunig
- Department of Medicine, Division of Environmental Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA;
| | - Anna Nolan
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
- Department of Medicine, Division of Environmental Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA;
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