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Zhang X, Zhu S, Zhang F, Zhao G, Zhang X, Zhu W, Li D. Utilizing daily excessive concentration hours to estimate small for gestational age infants attributable to fine particulate matter in Wuhan, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-12. [PMID: 38576314 DOI: 10.1080/09603123.2024.2337835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/28/2024] [Indexed: 04/06/2024]
Abstract
Limited studies in China have explored the association between gravidae exposure to PM2.5 and small for gestational age infants (SGA), yielding inconsistent results. This study in Wuhan utilized daily excessive concentration hours (DECH) as a novel measure to assess PM2.5's impact on SGA. Data on air pollutants and pregnant women were collected from the Wuhan Municipal Ecology and Environmental Bureau and Wuhan Children's Hospital, respectively. Logistic regression models were employed to evaluate the contribution of PM2.5-DECH and PM2.5-mean to SGA. Significant correlations were observed between PM2.5-mean and SGA during the second trimester [OR = 1.23 (95% CI: 1.14-1.32)] and the entire pregnancy [OR = 1.15 (95% CI: 1.07-1.24)]. Similar correlations were found between PM2.5-DECH and SGA. These findings suggest that increased PM2.5 exposure is associated with a higher risk of SGA, and DECH may be used as a prospective substitute indicator for daily average concentration in similar studies.
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Affiliation(s)
- Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Dejia Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
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Mo S, Hu J, Yu C, Bao J, Shi Z, Zhou P, Yang Z, Luo S, Yin Z, Zhang Y. Short-term effects of fine particulate matter constituents on myocardial infarction death. J Environ Sci (China) 2023; 133:60-69. [PMID: 37451789 DOI: 10.1016/j.jes.2022.07.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 07/07/2022] [Accepted: 07/11/2022] [Indexed: 07/18/2023]
Abstract
Existing evidence suggested that short-term exposure to fine particulate matter (PM2.5) may increase the risk of death from myocardial infarction (MI), while PM2.5 constituents responsible for this association has not been determined. We collected 12,927 MI deaths from 32 counties in southern China during 2011-2013. County-level exposures of ambient PM2.5 and its 5 constituents (i.e., elemental carbon (EC), organic carbon (OC), sulfate (SO42-), ammonium (NH4+), and nitrate (NO3-)) were aggregated from gridded datasets predicted by Community Multiscale Air Quality Modeling System. We employed a space-time-stratified case-crossover design and conditional logistic regression models to quantify the association of MI mortality with short-term exposure to PM2.5 and its constituents across various lag days. Over the study period, the daily mean PM2.5 mass concentration was 77.8 (standard deviation (SD) = 72.7) µg/m3. We estimated an odds ratio of 1.038 (95% confidence interval (CI): 1.003-1.074), 1.038 (1.013-1.063) and 1.057 (1.023-1.097) for MI mortality associated with per interquartile range (IQR) increase in the 3-day moving-average exposure to PM2.5 (IQR = 76.3 µg/m3), EC (4.1 µg/m3) and OC (9.1 µg/m3), respectively. We did not identify significant association between MI death and exposure to water-soluble ions (SO42-, NH4+ and NO3-). Likelihood ratio tests supported no evident violations of linear assumptions for constituents-MI associations. Subgroup analyses showed stronger associations between MI death and EC/OC exposure in the elderly, males and cold months. Short-term exposure to PM2.5 constituents, particularly those carbonaceous aerosols, was associated with increased risks of MI mortality.
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Affiliation(s)
- Shaocai Mo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Jianlin Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Junzhe Bao
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhihao Shi
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Peixuan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhiming Yang
- School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
| | - Siqi Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhouxin Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China.
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Aranburu-Imatz A, Jiménez-Hornero JE, Morales-Cané I, López-Soto PJ. Environmental pollution in North-Eastern Italy and its influence on chronic obstructive pulmonary disease: time series modelling and analysis using visibility graphs. AIR QUALITY, ATMOSPHERE, & HEALTH 2023; 16:793-804. [PMID: 36714016 PMCID: PMC9875196 DOI: 10.1007/s11869-023-01310-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/16/2023] [Indexed: 06/01/2023]
Abstract
The impact on human health from environmental pollution is receiving increasing attention. In the case of respiratory diseases such as chronic obstructive pulmonary disease (COPD), the relationship is now well documented. However, few studies have been carried out in areas with low population density and low industrial production, such as the province of Belluno (North-Eastern Italy). The aim of the study was to analyze the effect of exposure to certain pollutants on the temporal dynamics of hospital admissions for COPD in the province of Belluno. Daily air pollution concentration, humidity, precipitations, and temperature were collected from the air monitoring stations in Belluno. Generalized additive mixed models (GAMM) and visibility graphs were used to determine the effects of the short-term exposure to environmental agents on hospital admissions associated to COPD. In the case of the city of Belluno, the GAMM showed that hospital admissions were associated with NO2, PM10, date, and temperature, while for the city of Feltre, GAMM produced no associated variables. Several visibility graph indices (average edge overlap and interlayer mutual information) showed a significant overlap between environmental agents and hospital admission for both cities. Our study has shown that visibility graphs can be useful in establishing associations between environmental agents and COPD hospitalization in sparsely populated areas.
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Affiliation(s)
- Alejandra Aranburu-Imatz
- Department of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menéndez Pidal S/N., 14004 Córdoba, Spain
- Department of Nursing, Pharmacology and Physiotherapy, University of Cordoba, Córdoba, Spain
- Outpatient Clinic, Hospital Giovanni Paolo II, ULSS1 Dolomiti, Veneto, Italy
| | | | - Ignacio Morales-Cané
- Department of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menéndez Pidal S/N., 14004 Córdoba, Spain
- Department of Nursing, Pharmacology and Physiotherapy, University of Cordoba, Córdoba, Spain
- Department of Nursing, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain
| | - Pablo Jesús López-Soto
- Department of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menéndez Pidal S/N., 14004 Córdoba, Spain
- Department of Nursing, Pharmacology and Physiotherapy, University of Cordoba, Córdoba, Spain
- Department of Nursing, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain
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Bhadauria V, Parmar D, Ganguly R, Rathi AK, Kumar P. Exposure assessment of PM 2.5 in temple premises and crematoriums in Kanpur, India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:38374-38384. [PMID: 35075564 DOI: 10.1007/s11356-022-18739-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 01/14/2022] [Indexed: 06/14/2023]
Abstract
Regular use of incense and earthen lamps in temples leads to the release of particulate matter (PM), airborne flecks, and gaseous pollutants. Similarly, the cremation of dead bodies using timber and other accessories such as incense, organic chemicals containing carbon, and clothes generates air pollutants. It is currently unclear how much emissions and exposure these activities may lead. This work attempts to fill this gap in our understanding by assessing the associated emissions of PM2.5 and the corresponding exposure. Ten temples and two cremation grounds were considered for the sampling of PM2.5. The average PM2.5 concentration at the ten temples and the two crematoriums was found to be 658.30 ± 112.63 µg/m3 and 1043.50 ± 191.63 µg/m3, respectively. The range of real-time PM2.5 data obtained from the nearest twelve stations located in the vicinity was 113-191 µg/m3. The exposure assessment in terms of deposition dose was carried out using the ICRP model. The maximum and minimum total respiratory deposition dose rate for PM2.5 for temples was 175.75 µg/min and 101.15 µg/min, respectively. For crematoriums, the maximum and minimum value of same was 252.3 µg/min and 194.31 µg/min, respectively, for an exposure period of 10 min.
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Affiliation(s)
- Vishal Bhadauria
- Department of Civil Engineering, Harcourt Butler Technical University, Kanpur, Uttar Pradesh, 208002, India
| | - Dipteek Parmar
- Department of Civil Engineering, Harcourt Butler Technical University, Kanpur, Uttar Pradesh, 208002, India.
| | - Rajiv Ganguly
- Department of Civil Engineering, Harcourt Butler Technical University, Kanpur, Uttar Pradesh, 208002, India
| | - Abhinav Kumar Rathi
- Department of Civil Engineering, Harcourt Butler Technical University, Kanpur, Uttar Pradesh, 208002, India
| | - Prashant Kumar
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, UK
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Tong R, Wang Y, Zhao X, Yang X. Modeling health impacts of air pollutant emissions from the coal-fired power industry based on LCA and oriented by WTP: a case study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:34486-34499. [PMID: 35038098 DOI: 10.1007/s11356-022-18561-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 01/04/2022] [Indexed: 06/14/2023]
Abstract
Coal-fired power plants are one of the major sources of coal consumption in China; they discharge various air pollutants and cause serious human health damage. There is an urgent need to focus on the associated health effects. Thus, this study aims to advance an integrated life cycle assessment (LCA)-based health damage model to quantify the health burden of air pollutant emissions from coal-fired power generation (CFPG) and to achieve an economic interpretation of health damage. A case study of the Zaozhuang coal-fired power project was conducted to better visualize and mitigate the impacts. The results reveal that willingness to pay (WTP) for health damage caused by the CFPG project in 1 year amounted to USD 15.71 million, and the total amount of life lost was 155.81 years. During the CFPG process, coal combustion caused the most health damage, respiratory disease was the type of damage with the greatest influence on health, and SO2 was the air pollutant that causes the most serious health damage. The model developed in this study can be broadly applied to assess the potential life loss due to air pollutant emissions from CFPG systems. The identified key points for health damage prevention can also be used as practical solutions for decision-making regarding the prioritization of control sources for environmental management.
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Affiliation(s)
- Ruipeng Tong
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Haidian District, D11 Xueyuan Road, Beijing, 100083, China
| | - Yiran Wang
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Haidian District, D11 Xueyuan Road, Beijing, 100083, China
| | - Xu Zhao
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Haidian District, D11 Xueyuan Road, Beijing, 100083, China
| | - Xiaoyi Yang
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Haidian District, D11 Xueyuan Road, Beijing, 100083, China.
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