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Lin W, Pan J, Li J, Zhou X, Liu X. Short-Term Exposure to Air Pollution and the Incidence and Mortality of Stroke: A Meta-Analysis. Neurologist 2024; 29:179-187. [PMID: 38048541 DOI: 10.1097/nrl.0000000000000544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/06/2023]
Abstract
BACKGROUND The relationship between short-term exposure to various air pollutants [particulate matter <10 μm (PM 10 ), particulate matter <2.5 μm (PM 2.5 ), nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), carbon monoxide, and ozone (O 3 )] and the incidence and mortality of stroke remain unclear. REVIEW SUMMARY We conducted a comprehensive search across databases, including PubMed, Web of Science, and others. A random-effects model was employed to estimate the odds ratios (OR) and their 95% CIs. Short-term exposure to PM 10 , PM 2.5 , NO 2 , SO 2 , and O 3 was associated with increased stroke incidence [per 10 μg/m 3 increase in PM 2.5 : OR = 1.005 (95% CI: 1.004-1.007), per 10 μg/m 3 increase in PM 10 : OR = 1.006 (95% CI: 1.004-1.009), per 10 μg/m 3 increase in SO 2 : OR = 1.034 (95% CI: 1.020-1.048), per 10 μg/m 3 increase in NO 2 : OR = 1.029 (95% CI: 1.015-1.043), and O 3 for per 10 μg/m 3 increase: OR: 1.006 (95% CI: 1.004-1.007)]. In addition, short-term exposure to PM 2.5 , PM 10 , SO 2, and NO 2 was correlated with increased mortality from stroke [per 10 μg/m 3 increase in PM 2.5 : OR = 1.010 (95% CI: 1.006-1.013), per 10 μg/m 3 increase in PM 10 : OR = 1.004 (95% CI: 1.003-1.006), per 10 μg/m 3 increase in SO 2 : OR = 1.013 (95% CI: 1.007-1.019) and per 10 μg/m 3 increase in NO 2 : OR = 1.012 (95% CI: 1.008-1.015)]. CONCLUSION Reducing outdoor air pollutant levels may yield a favorable outcome in reducing the incidence and mortality associated with strokes.
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Affiliation(s)
- Wenjian Lin
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine
- Tongji University School of Medicine, Shanghai, China
| | - Jie Pan
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine
| | - Jiahe Li
- Tongji University School of Medicine, Shanghai, China
| | - Xiaoyu Zhou
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine
| | - Xueyuan Liu
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine
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Lv X, Shi W, Yuan K, Zhang Y, Cao W, Li C, Xu L, Wu L, Sun S, Hong F. Hourly Air Pollution Exposure and Emergency Hospital Admissions for Stroke: A Multicenter Case-Crossover Study. Stroke 2023; 54:3038-3045. [PMID: 37901948 DOI: 10.1161/strokeaha.123.044191] [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: 06/12/2023] [Accepted: 09/26/2023] [Indexed: 10/31/2023]
Abstract
BACKGROUND Daily exposure to ambient air pollution is associated with stroke morbidity and mortality; however, the association between hourly exposure to air pollutants and risk of emergency hospital admissions for stroke and its subtypes remains relatively unexplored. METHODS We obtained hourly concentrations of fine particulate matter (PM2.5), respirable particulate matter (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO) from the China National Environmental Monitoring Center. We conducted a time-stratified case-crossover study among 86 635 emergency hospital admissions for stroke across 10 hospitals in 3 cities (Jinhua, Hangzhou, and Zhoushan) in Zhejiang province, China, between January 1, 2016 and December 31, 2021. Using a conditional logistic regression combined with a distributed lag linear model, we estimated the association between hourly exposure to multiple air pollutants and risk of emergency hospital admissions for total stroke, ischemic stroke, hemorrhagic stroke, and undetermined type. RESULTS Hourly exposure to PM2.5, PM10, NO2, and SO2 was associated with an increased risk of hospital admissions for total stroke and ischemic stroke. The associations were most pronounced during the concurrent hour of exposure and lasted for ≈2 hours. We found that the risk was more pronounced among male patients or those aged <65 years old. CONCLUSIONS Our findings suggest that exposure to PM2.5, PM10, NO2, and SO2, but not CO and O3, is associated with emergency hospital admissions for total stroke or ischemic stroke shortly after exposure. Implementing targeted pollution emission reduction measures may have significant public health implications in controlling and reducing the burden of stroke.
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Affiliation(s)
- Xin Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
| | - Wanying Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
| | - Kun Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
| | - Yangchang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
| | - Wangnan Cao
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China (W.C.)
| | - Chunrong Li
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China (C.L.)
| | - Lufei Xu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Human Resources, Peking University Cancer Hospital and Institute, China (L.X.)
| | - Lizhi Wu
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China (L.W.)
| | - Shengzhi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China (S.S., F.H.)
| | - Feng Hong
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China (S.S., F.H.)
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Jin JQ, Lin GZ, Wu SY, Zheng MR, Liu H, Liu XY, Yan MQ, Chen ZY, Ou CQ. Short-term effects of individual exposure to PM 2.5 on hospital admissions for myocardial infarction and stroke: a population-based case-crossover study in Guangzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-28058-y. [PMID: 37273056 DOI: 10.1007/s11356-023-28058-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 05/29/2023] [Indexed: 06/06/2023]
Abstract
Some studies have investigated the effects of PM2.5 on cardiovascular diseases based on the population-average exposure data from several monitoring stations. No one has explored the short-term effect of PM2.5 on cardiovascular hospitalizations using individual-level exposure data. We assessed the short-term effects of individual exposure to PM2.5 on hospitalizations for myocardial infarction (MI) and stroke in Guangzhou, China, during 2014-2019. The population-based data on cardio-cerebrovascular events were provided by Guangzhou Center for Disease Control and Prevention. Average annual percent changes (AAPCs) were used to describe trends in the hospitalization rates of MI and stroke. The conditional logistic regression model with a time-stratified case-crossover design was applied to estimate the effects of satellite-retrieved PM2.5 with 1-km resolution as individual-level exposure. Furthermore, we performed stratified analyses by demographic characteristics and season. There were 28,346 cases of MI, 188,611, and 36,850 cases of ischemic stroke (IS) and hemorrhagic stroke (HS), respectively, with an annual average hospitalization rate of 37.2, 247, and 48.4 per 100,000 people. Over the six-year study period, significant increasing trends in the hospitalization rates were observed with AAPCs of 12.3% (95% confidence interval [CI]: 7.24%, 17.6%), 13.1% (95% CI: 9.54%, 16.7%), and 9.57% (95% CI: 6.27%, 13.0%) for MI, IS, and HS, respectively. A 10 μg/m3 increase in PM2.5 was associated with an increase of 1.15% (95% CI: 0.308%, 1.99%) in MI hospitalization and 1.29% (95% CI: 0.882%, 1.70%) in IS hospitalization. A PM2.5-associated reduction of 1.17% (95% CI: 0.298%, 2.03%) was found for HS hospitalization. The impact of PM2.5 was greater in males than in females for MI hospitalization, and greater effects were observed in the elderly (≥ 65 years) and in cold seasons for IS hospitalization. Our study added important evidence on the adverse effect of PM2.5 based on satellite-retrieved individual-level exposure data.
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Affiliation(s)
- Jie-Qi Jin
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Guo-Zhen Lin
- Guangzhou Center for Disease Control and Prevention, 15, Guangzhou, 510440, China
| | - Shuang-Ying Wu
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Mu-Rui Zheng
- Guangzhou Center for Disease Control and Prevention, 15, Guangzhou, 510440, China
| | - Hui Liu
- Guangzhou Center for Disease Control and Prevention, 15, Guangzhou, 510440, China
| | - Xiang-Yi Liu
- Guangzhou Center for Disease Control and Prevention, 15, Guangzhou, 510440, China
| | - Min-Qian Yan
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Zhao-Yue Chen
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Chun-Quan Ou
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
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Alhussaini AR, Aljabri MR, Al-Harbi ZT, Abdulrahman Almohammadi G, Al-Harbi TM, Bashir S. Air Pollution and Its Adverse Effects on the Central Nervous System. Cureus 2023; 15:e38927. [PMID: 37313075 PMCID: PMC10259194 DOI: 10.7759/cureus.38927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2023] [Indexed: 06/15/2023] Open
Abstract
Air pollution is recognized as a significant public health problem and is associated with illnesses of the central nervous system (CNS) as well as neuroinflammation and neuropathology. Air pollution may cause chronic brain inflammation, white matter abnormalities, and microglia activation, which increases the risk of autism spectrum disorders, neurodegenerative disorders, stroke, and multiple sclerosis (MS). Methods: A literature review was done on "PubMed, EMBASE and Web of Science" on the relationship of air pollution with MS and stroke, using the keywords "air pollution" OR "pollution"; "ambient air pollution," "particulate matter, ozone, black carbon" AND "stroke" OR "cerebrovascular diseases," "multiple sclerosis," "neuroinflammation," or "neurodegeneration." Results: We first identified 128 articles and their related websites, of which 44 articles were further selected for analysis mainly based on study relevance, study quality and reliability, and date of publication. Further studies on air pollution and its adverse effects on the CNS are needed. The findings of such studies will support the development of appropriate preventive measures in the future.
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Affiliation(s)
| | | | - Zeyad T Al-Harbi
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, SAU
| | | | | | - Shahid Bashir
- Neuroscience, Neuroscience Center, King Fahad Specialist Hospital, Dammam, SAU
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Cui Z, Ma Y, Yu Y, Li N, Wang J, Wang A, Tan Q. Short-term exposure to ambient fine particulate pollution aggravates ventilator-associated pneumonia in pediatric intensive care patients undergoing cardiovascular surgeries. Environ Health 2023; 22:39. [PMID: 37101281 PMCID: PMC10132412 DOI: 10.1186/s12940-023-00991-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/19/2023] [Indexed: 05/04/2023]
Abstract
BACKGROUND Ambient air pollutants can be hazardous to human health, especially for vulnerable children. The impact of ambient air pollutant exposure before and during intensive care unit (ICU) stays on the development of ventilator-associated pneumonia (VAP) in critically ill children has not been established. We aimed to determine the correlations between short-term exposures to ambient fine particulate matter (PM2.5) and VAP in pediatric cardiac surgery patients in the ICU, and explore the effect of delayed exposure. METHODS The medical record of 1755 child patients requiring artificial ventilation in the ICU between December 2013 to December 2020, were analyzed. The daily average concentrations of particulate matters (PM2.5 and PM10), sulfur dioxide (SO2), and ozone (O3) were calculated from public data. Interactions between these pollutants and VAP were simulated with the distributed lag non-linear model. RESULTS Three hundred forty-eight cases (19.829%) of VAP were identified in this study, while the average concentrations of PM2.5, PM10, O3 and SO2 were 58, 118, 98 and 26 μg/m3, respectively. Exposure to increased levels of PM2.5 two days prior (lag 2-day) to VAP diagnosis is significantly correlated with an enhanced risk for VAP development. Even a slight increase of 10 μg/m3 in PM2.5 can translate to a 5.4% increase in VAP incidence (95% CI: 1.4%-9.5%) while the VAP incidence increased to 11.1% (95%CI: 4.5-19.5%) when PM2.5 concentration is well below the National Ambient Air Quality standard (NAAQS) of 50 μg/m3. The association was more pronounced in those aged below 3-months, with low body mass index or suffered from pulmonary arterial hypertension. CONCLUSION Short-term PM2.5 exposure is a significant risk for development of VAP in pediatric patients. This risk is present even with PM2.5 levels below the NAAQS. Ambient PM2.5 may represent a previously unrecognized risk factor for pneumonia and the current environmental pollution standards need to be reevaluated to consider susceptible populations. TRIAL REGISTRATION The trial was registered with the National Clinical Trial Center: The correlation between ambient air pollution and the complications in ICU underwent cardiac surgery. TRIAL REGISTRATION NUMBER ChiCTR2000030507. Date of registration: March 5, 2020. URL of trial registry record: http://www.chictr.org.cn/index.aspx .
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Affiliation(s)
- Zhaomei Cui
- Intensive Care Unit (ICU), Department of Cardiac Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 9677 Jingshi Road, Jinan, 250021 China
| | - Yingying Ma
- Medical Engineering Department, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yuanyuan Yu
- Data Science Institute, Shandong University, Jinan, Shandong China
| | - Na Li
- Department of Gynecology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong China
| | - Jun Wang
- Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Anbiao Wang
- Intensive Care Unit (ICU), Department of Cardiac Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 9677 Jingshi Road, Jinan, 250021 China
| | - Qi Tan
- Intensive Care Unit (ICU), Department of Cardiac Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 9677 Jingshi Road, Jinan, 250021 China
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Huang QS, Zhou LX, Yang LL, Jiang YX, Xiao H, Li DW, Zhou YM, Hu YG, Li N, Li YF, Ji AL, Luo P, Cai TJ. Association between ambient carbon monoxide levels and hospitalization costs of patients with myocardial infarction: Potential effect modification by ABO blood group. ENVIRONMENTAL RESEARCH 2023; 216:114516. [PMID: 36220442 DOI: 10.1016/j.envres.2022.114516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/29/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Previous researches have reported the association between air pollution and various diseases. However, few researches have investigated whether air pollutants are associated with the economic loss resulting from patients' hospitalization, especially the economic loss of hospitalization due to acute cardiovascular events. The purpose of our research was to explore the association between the levels of carbon monoxide (CO), taken as an index of pollution, and the hospitalization costs of myocardial infarction (MI), and the potential effect modification by the ABO blood group. A total of 3237 MI inpatients were included in this study. A multiple linear regression model was used to evaluate the association between ambient CO levels and hospitalization costs of MI patients. Moreover, we performed stratified analyses by age, gender, body mass index (BMI), season, hypertension, and ABO blood types. There was a positive association between the levels of CO in the air and the costs of hospitalization caused by MI. Furthermore, such association was stronger in males, BMI ≥25, <65 years, with hypertension, and non-O blood group. Interestingly, we found the association was particularly significant in patients with blood group B. Overall, our study first found that ambient CO levels could have an impact on the hospitalization costs for MI patients, and those with blood group B can be more sensitive.
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Affiliation(s)
- Qing-Song Huang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Lai-Xin Zhou
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Li-Li Yang
- Department of Information, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037, China
| | - Yue-Xu Jiang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Da-Wei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yu-Meng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yue-Gu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Na Li
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ya-Fei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ai-Ling Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, China
| | - Peng Luo
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
| | - Tong-Jian Cai
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
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Feng Q, Chen Y, Su S, Zhang X, Lin X. Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis. BMC Pulm Med 2022; 22:416. [PMID: 36368963 PMCID: PMC9652800 DOI: 10.1186/s12890-022-02216-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 11/02/2022] [Indexed: 11/13/2022] Open
Abstract
Background Previous studies have confirmed that exposure to fine particulate matter (PM2.5) is associated with respiratory disease mortality. However, due to the differences in PM2.5 concentration, composition and population susceptibility within different regions, the estimates of the association between PM2.5 concentration and mortality are different. Moreover, few studies have examined the potential hazard of excessive PM2.5 exposure in terms of respiratory disease mortality. Methods Daily recorded data on meteorological indices, environmental pollutants, and causes of death data in Changsha from January 2015 to December 2018 were obtained. The potential relationship between PM2.5 concentrations and respiratory disease mortality was determined using distributed lag nonlinear model (DLNM), which includes the relative risk (RR) and cumulative relative risk (CRR) of the lagged effect. The synergistic effects of other air pollutants were also considered. Results A total of 8,825 cases of respiratory disease mortality occurred in Changsha between 2015 and 2018. The acute effect of PM2.5 concentration was associated with an increased risk of respiratory disease mortality. Regarding the lag specific effect, a 10 μg/m3 increase in PM2.5 concentration on respiratory disease mortality was statistically significant at lag day 0 and lag day 7 with a relative risk of 1.019 (95% CI 1.007- 1.031) and 1.013(95%CI: 1.002-1.024). As for the cumulative lag effect, a 4-day moving average of PM2.5 concentrations was significantly associated with a cumulative relative risk of 1.027 (95%CI: 1.011-1.031). The single-day lag effect and cumulative 4-day lag effect for male individuals were more significant than those observed in females. The effect of PM2.5 concentrations and respiratory disease mortality remained statistically significant in the multi-pollutant models (SO2, NO2, and O3). A higher risk was observed in the cold season than in the warm season. Conclusions Our findings show a potential association between exposure to PM2.5 concentration and respiratory disease mortality in Changsha, with male individuals observed to have particularly higher risk.
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Liu C, Wu M, Fu M, Wang H, Nie J. Dose-response relationships between polycyclic aromatic hydrocarbon exposure and blood cell counts among coke oven workers: a sex-stratified analysis. BMJ Open 2021; 11:e046843. [PMID: 35099406 PMCID: PMC8719181 DOI: 10.1136/bmjopen-2020-046843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVES To explore sex differences and dose-response relationships between nine urinary polycyclic aromatic hydrocarbon (PAH) metabolites and neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and complete blood counts among coke oven workers. DESIGN AND SETTING A cross-sectional study with stratified sex was conducted in Shanxi, China. PARTICIPANTS A total of 458 male workers and 226 female workers were selected. PRIMARY AND SECONDARY OUTCOME MEASURES General linear models, p values for trend tests and natural cubic spline models were used to explore the dose-response relationships between nine urinary PAH metabolites and NLR, PLR and complete blood counts. RESULT Compared with male workers, female workers had lower exposure level of PAH (0.95 ng/mL vs 1.38 ng/mL). Only among female workers did we observe that a 1-unit increase in lg(1-OHPyr) was related to a 0.149 (95% CI: 0.055 to 0.242; p for trend=0.041) and 0.103 (95% CI: 0.025 to 0.181; p for trend=0.007) increase in lg(NLR) and lg(PLR), and a 0.116 (95% CI: -0.179 to -0.054; p for trend=0.007) decrease in lg(lymphocyte counts (LYMs)). A 1-unit increase in lg(2-OHNap) was related to a 0.045 (95% CI: 0.003 to 0.086; p for trend=0.037) increase in lg(PLR) and a 0.029 (95% CI: -0.056 to -0.002; p for trend=0.030) and 0.016 (95% CI: -0.029 to -0.003; p for trend=0.010) decrease in lg(white blood cell counts (WBCs)) and lg(haemoglobin (HGB)). CONCLUSION Female workers' NLR, PLR, WBCs, HGB and LYMs may be more susceptible than those of male workers when affected by PAH.
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Affiliation(s)
- Chengjuan Liu
- Occupational Health, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, China
| | - Min Wu
- Occupational Health, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, China
| | - Mengmeng Fu
- Occupational Health, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, China
| | - Huimin Wang
- Occupational Health, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, China
| | - Jisheng Nie
- Occupational Health, Shanxi Medical University School of Public Health, Taiyuan, Shanxi, China
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Zhao C, Li Q, Cui Z, Wang J, Sun L, Yin Y. Impact of ambient fine particulate matter on emergency department admissions for circulatory system disease in a city in Northeast China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:62839-62852. [PMID: 34218380 DOI: 10.1007/s11356-021-15222-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/27/2021] [Indexed: 06/13/2023]
Abstract
The cardiovascular impact of fine particles has caused great concern worldwide. However, evidences on the impact of fine particulate matter (PM2.5) on emergency department (ED) admissions for circulatory system disease in Northeast China is limited. We assessed the acute, lag, cumulative, and harvesting effects of PM2.5 on ED admissions for circulatory system diseases and their exposure-response relationship. A total of 26,168 ED admissions, including those for hypertension, ischemic heart disease (IHD), arrhythmia, heart failure (HF), and cerebrovascular events (CVE), were collected from the Shenyang Emergency Center from 1 January 2017 to 31 December 2018. The relationship between PM2.5 and ED admissions for circulatory system disease was estimated using a distributed lag non-linear model and a generalized additive quasi-Poisson model. We stratified the analyses by temperature. Air pollution was positively correlated with daily ED admissions for circulatory system disease or other cause-specific diseases under different lag structures. For every 10-μg/m3 increase in the PM2.5 concentration, the relative risk of daily ED admissions for circulatory system disease was 1.007 [95% confidence interval (CI), 1.001-1.013] in lag0, 1.007 (95%CI, 1.000-1.013) in lag1, and 1.011 (95%CI, 1.002-1.021) in lag03. A lag effect was found in IHD, a cumulative effect was found in CVE, and both lag and cumulative effects were found in hypertension and arrhythmia. A harvesting effect was observed in daily ED admissions for circulatory system disease and HF. We found no interaction between pollutants and temperature. We observed a monotonic and almost linear exposure-response relationship between PM2.5 and circulatory system disease with no threshold effect.PM2.5 contributes to obvious acute, lag, cumulative, and harvesting effects on circulatory system disease. PM2.5 was associated with the risk of daily ED admissions for circulatory system disease, hypertension, IHD, arrhythmia, HF, and CVE. Therefore, air quality management must be strengthened.
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Affiliation(s)
- Chenkai Zhao
- Department of Environmental Health, School of Public Health, China Medical University, Key Laboratory of Environmental Health Damage Research and Assessment, Shenyang, 110122, Liaoning, China
| | - Qidian Li
- Department of Environmental Health, School of Public Health, China Medical University, Key Laboratory of Environmental Health Damage Research and Assessment, Shenyang, 110122, Liaoning, China
| | - Zhongming Cui
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110000, Liaoning, China
| | - JunLong Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110000, Liaoning, China
| | - Li Sun
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110000, Liaoning, China
| | - Yan Yin
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110000, Liaoning, China.
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Characteristics of Particulate Matter at Different Pollution Levels in Chengdu, Southwest of China. ATMOSPHERE 2021. [DOI: 10.3390/atmos12080990] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Air pollution is becoming increasingly serious along with social and economic development in the southwest of China. The distribution characteristics of particle matter (PM) were studied in Chengdu from 2016 to 2017, and the changes of PM bearing water-soluble ions and heavy metals and the distribution of secondary ions were analyzed during the haze episode. The results showed that at different pollution levels, heavy metals were more likely to be enriched in fine particles and may be used as a tracer of primary pollution sources. The water-soluble ions in PM2.5 were mainly Sulfate-Nitrate-Ammonium (SNA) accounting for 43.02%, 24.23%, 23.50%, respectively. SO42−, NO3−, NH4+ in PM10 accounted for 34.56%, 27.43%, 19.18%, respectively. It was mainly SO42− in PM at Clean levels (PM2.5 = 0~75 μg/m3, PM10 = 0~150 μg/m3), and mainly NH4+ and NO3− at Light-Medium levels (PM2.5 = 75~150 μg/m3, PM10 = 150~350 μg/m3). At Heavy levels (PM2.5 = 150~250 μg/m3, PM10 = 350~420 μg/m3), it is mainly SO42− in PM2.5, and mainly NH4+ and NO3− in PM10. The contribution of mobile sources to the formation of haze in the study area was significant. SNA had significant contributions to the PM during the haze episode, and more attention should be paid to them in order to improve air quality.
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Liu X, Li Z, Guo M, Zhang J, Tao L, Xu X, Deginet A, Lu F, Luo Y, Liu M, Liu M, Sun Y, Li H, Guo X. Acute effect of particulate matter pollution on hospital admissions for stroke among patients with type 2 diabetes in Beijing, China, from 2014 to 2018. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 217:112201. [PMID: 33838569 DOI: 10.1016/j.ecoenv.2021.112201] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/22/2021] [Accepted: 03/26/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND The health effect of particulate matter pollution on stroke has been widely examined; however, the effect among patients with comorbid type 2 diabetes (T2D) in developing countries has remained largely unknown. METHODS A time-series study was conducted to investigate the short-term effect of fine particulate matter (PM2.5) and inhalable particulate matter (PM10) on hospital admissions for stroke among patients with T2D in Beijing, China, from 2014 to 2018. An over-dispersed Poisson generalized additive model was employed to adjust for important covariates, such as weather conditions and long-term and seasonal trends. RESULTS A total of 159,298 hospital admissions for stroke comorbid with T2D were reported. Approximately linear exposure-response curves were observed for PM2.5 and PM10 in relation to stroke admissions among T2D patients. A 10 μg/m3 increase in the four-day moving average of PM2.5 and PM10 was associated with 0.14% (95% confidence interval [CI]: 0.05-0.23%) and 0.14% (95% CI: 0.06-0.22%) incremental increases in stroke admissions among T2D patients, respectively. A 10 μg/m3 increase in PM2.5 in the two-day moving average corresponded to a 0.72% (95% CI: 0.02-1.42%) incremental increase in hemorrhagic stroke, and a 10 μg/m3 increase in PM10 in the four-day moving average corresponded to a 0.14% (95% CI: 0.06-0.22%) incremental increase in ischemic stroke. CONCLUSIONS High particulate matter might be a risk factor for stroke among patients with T2D. PM2.5 and PM10 have a linear exposure-response relationship with stroke among T2D patients. The study provided evidence of the risk of stroke due to particulate matter pollution among patients with comorbid T2D.
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Affiliation(s)
- Xiangtong Liu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Zhiwei Li
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Moning Guo
- Beijing Municipal Health Commission Information Center, Beijing 100034, China.
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Xiaolin Xu
- School of Public Health, Zhejiang University, Hangzhou 310058, China; The University of Queensland, Brisbane, Australia.
| | - Aklilu Deginet
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Feng Lu
- Beijing Municipal Health Commission Information Center, Beijing 100034, China.
| | - Yanxia Luo
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Mengmeng Liu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Mengyang Liu
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Yue Sun
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Haibin Li
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China.
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Yue W, Chen X, He S, Li N, Zhang L, Chen J. Exposure interval to ambient fine particulate matter (PM2.5) collected in Southwest China induced pulmonary damage through the Janus tyrosine protein kinase-2/signal transducer and activator of transcription-3 signaling pathway both in vivo and in vitro. J Appl Toxicol 2021; 41:2042-2054. [PMID: 34081793 DOI: 10.1002/jat.4196] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/29/2021] [Accepted: 05/01/2021] [Indexed: 12/20/2022]
Abstract
PM2.5 is a well-known air pollutant threatening public health. Studies confirmed that exposure to the particles could impair pulmonary function, cause chronic obstructive pulmonary disease, and increase the incidence of lung cancer. The characteristic of PM2.5 varies across regions. The toxic function of PM2.5 in southwest China remains to be elucidated. This study aimed to investigate lung injury and its mechanisms induced by PM2.5 collected in Chengdu. Rats were administered with PM2.5 by intratracheal instillation for 4 weeks. Biochemical, cell count, and inflammation-related parameters were measured. Lung tissues were obtained for hematoxylin and eosin and Masson's trichrome staining. The expression levels of vascular endothelial growth factor (VEGF), Janus tyrosine protein kinase-2 (JAK-2), and signal transducer and activator of transcription-3 (STAT-3) were detected by immunohistochemistry assays. Meanwhile, A549 cells were treated with the PM2.5. The cell cycle, and apoptosis were measured by flow cytometry. mRNA and protein expressions of JAK-2, STAT-3, p-STAT-3, and VEGFA were detected using qPCR and Western blot analysis respectively. Results of in vivo study showed that PM2.5 induced lung pathological injury, aggravated the accumulation of inflammatory cells, and increased the serum levels of inflammatory factors. In vitro experiments showed that PM2.5 disrupted the cell growth cycle and increased cell apoptosis through the activation of the JAK-2/STAT-3 signaling pathway. Taken together, this study provided convincing experimental evidence that PM2.5 collected in southwest China could induce pulmonary injury as manifested by inflammatory response and lung fibrosis, possibly through the modulation of the JAK-2/STAT-3 signaling pathway.
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Affiliation(s)
- Wuyang Yue
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,Department of Tuberculosis Institute Research, Chongqing Public Health Medical Center/Public Health Hospital Affiliated to Southwest University, Chongqing, China
| | - Xuxi Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Sifu He
- Administration Department, Sichuan Kangchen Biotechnology Co., Chengdu, China
| | - Na Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Lishi Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jinyao Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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Hu W, Chen Y, Chen J. Short-term effect of fine particular matter on daily hospitalizations for ischemic stroke: A time-series study in Yancheng, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 208:111518. [PMID: 33120271 DOI: 10.1016/j.ecoenv.2020.111518] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 10/08/2020] [Accepted: 10/13/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE To investigate the associations between short-term exposure to fine particular matter (PM2.5) and ischemic stroke (IS) in Yancheng, China, from 2017 to 2019. METHODS We designed a time-series study based on generalized additive models to explore the association of PM2.5 and IS admitted in two major hospitals in Yancheng. We built different lag patterns and conducted stratification analyses by age, gender, and season. Moreover, we examined the robustness of the associations adopting two-pollutant models and fitted the concentration-response curves. RESULT We observed positive and significant associations at lag 0 day. Every 10 μg/m3 increase in PM2.5 (lag0) was associated with 1.06% (95% CI: 0.21%-1.91%) increases in hospitalizations for IS. The association remained stable and statistically significant to the adjustment of carbon monoxide and ozone. We observed that the associations were stronger in females and during cold seasons. The overall concentration-response relationship curve was linear positive and increased slowly but rose sharply at higher concentrations in the cold season. CONCLUSION Our study added to the evidence that short-term exposure to PM2.5 may induce IS, and the government should take action to address the air pollution issues and protect susceptible populations.
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Affiliation(s)
- Wei Hu
- Department of Orthopedic Surgery, The First Affiliated Hospital of China Medical University, Liaoning, China
| | - Yutong Chen
- Department of Pediatric Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Jinhua Chen
- Department of Neurosurgery, The People's Hospital of Dafeng, Yancheng, China.
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The 10-Year Study of the Impact of Particulate Matters on Mortality in Two Transit Cities in North-Eastern Poland (PL-PARTICLES). J Clin Med 2020; 9:jcm9113445. [PMID: 33120927 PMCID: PMC7692125 DOI: 10.3390/jcm9113445] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 10/16/2020] [Accepted: 10/24/2020] [Indexed: 01/08/2023] Open
Abstract
The detrimental influence of air pollution on mortality has been established in a series of studies. The majority of them were conducted in large, highly polluted cities-there is a lack of studies from small, relatively clean regions. The aim was to analyze the short-term impact of particulate matters (PMs) on mortality in north-eastern Poland. Time-stratified case-crossover design was performed for mortality in years 2008-2017. Daily concentrations of PM2.5 (28.4 µg/m3, interquartile range (IQR) = 25.2) vs. (12.6 µg/m3, IQR = 9.0) and PM10 (29.0 µg/m3, IQR = 18.0) vs. (21.7 µg/m3, IQR = 14.5) were higher in Łomża than Suwałki (p < 0.001). Impact of PM2.5 on mortality was recorded in Łomża (odds ratio (OR) for IQR increase 1.061, 1.017-1.105, p = 0.06, lag 0) and Suwałki (OR for IQR increase 1.044, 1.001-1.089, p = 0.004, lag 0). PM10 had an impact on mortality in Łomża (OR for IQR increase 1.028, 1.000-1.058, p = 0.049, lag 1). Cardiovascular mortality was affected by increase of PM2.5 in Łomża (1.086, 1.020-1.156, p = 0.01) and Suwałki (1.085, 1.005-1.171, p = 0.04). PM2.5 had an influence on respiratory mortality in Łomża (1.163, 1.021-1.380, p = 0.03, lag 1). In the whole studied region, despite differences in the air quality, the influence of PMs on mortality was observed.
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Short-term exposure to air pollution and occurrence of emergency stroke in Chongqing, China. Int Arch Occup Environ Health 2020; 94:69-76. [PMID: 32561974 DOI: 10.1007/s00420-020-01557-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 06/10/2020] [Indexed: 01/02/2023]
Abstract
OBJECTIVE This study aimed to study the relationship between air pollution and stroke (especially emergency stroke) in different regions and determine which air pollutant is the most significantly associated with stroke. METHODS The number of patients with emergency stroke, air pollutant data and related meteorological indicators were collected from December 2013 to May 2018 for large comprehensive hospitals in Chongqing. The generalized additive model was used to analyse the relationship between air pollution and emergency stroke. RESULTS After analysis and adjusting for meteorological indicators and day-of-the-week effects, in the one-pollutant model, every 10 μg/m3 increase in ozone(O3) was associated with a 2.482% (95% CI 1.044%, 3.919%) change in emergency strokes within lag0. For males, every 10 μg/m3 increase of O3 contributed to a 0.77% percent greater change compared with females. For the group younger than 60 years, we observed a 1.14% increase in risk with every 10 μg/m3 increase in O3. The group with pre-existing hypertension had a 0.26% higher risk than the group with no pre-existing hypertension with every 10 μg/m3 increase in O3. In two-pollutant model, when O3 was combined with a 10 μg/m3 increase of NO2, it increased the most significant risk of emergency stroke by 0.22%. CONCLUSION These findings suggest that short-term exposure to O3 within 0 days is associated with emergency outpatient strokes, and younger people (age < 60 years) males and people with hypertension are more sensitive than older people, females and people without pre-existing hypertension.
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Wang C, Zhu G, Zhang L, Chen K. Particulate matter pollution and hospital outpatient visits for endocrine, digestive, urological, and dermatological diseases in Nanjing, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 261:114205. [PMID: 32113107 DOI: 10.1016/j.envpol.2020.114205] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/16/2020] [Accepted: 02/16/2020] [Indexed: 06/10/2023]
Abstract
Clinical or pathological evidence demonstrated that air pollution could undermine other organ systems of human body besides respiratory and circulation systems. Investigations that directly relate hospital outpatient visits for endocrine (ENDO), digestive (DIGE), urological (UROL), and dermatological (DERM) diseases categories with ambient particulate matter (PM) are still lacking, particularly in heavily polluted cities. Here, we conducted a time-series analysis using 812,624, 1,111,342, 539,803, and 741,662 hospital visits for ENDO, DIGE, UROL, and DERM, respectively, in Nanjing, China from 2013 to 2019. A generalized additive model was applied to estimate the exposure-response associations. Results showed that a 10 μg/m3 increase in PM2.5 concentration on lag 0 day was significantly associated with 0.59% (95% CI: 0.30%, 0.88%), 0.43% (0.15%, 0.70%), 0.36% (0.06%, 0.66%), and 0.65% (0.42%, 0.87%) increase for ENDO, DIGE, UROL, and DERM hospital visits, respectively. The estimated effects of PM10 were slightly smaller but still statistically significant. The magnitude and significance of the associations between PM and four health outcomes were sensitive to additional adjustment for co-pollutants. Exposure-response relationships were linear for PM concentrations lower than 100 μg/m3 but the curves became nonlinear across the full range of exposures due to a flatten slope at higher concentrations. We also explored the effect modifications by season (cold or warm), age (5-18, 18-64, 65-74, or 75+ years), and sex (male or female). Results showed that the DERM-related population aged 65 years or older was more vulnerable to PM exposure, compared with the 5 to 17-year age group; the DERM-related population aged 75 years or older and 65 years or older was more vulnerable to PM2.5 and PM10 exposure, respectively, compared with the 18 to 64-year age group. Our study provided suggestive evidence that ambient PM pollution was associated with ENDO, DIGE, UROL, and DERM outpatient hospital visits in Nanjing, China.
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Affiliation(s)
- Ce Wang
- School of Energy and Environment, Southeast University, Nanjing, 210096, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Southeast University, Nanjing, 210096, PR China.
| | - Guangcan Zhu
- School of Energy and Environment, Southeast University, Nanjing, 210096, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Southeast University, Nanjing, 210096, PR China.
| | - Lei Zhang
- Outpatient Department, Zhongda Hospital of Southeast University, Nanjing, 210096, PR China.
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, 06520-8034, USA.
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17
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Gu J, Shi Y, Chen N, Wang H, Chen T. Ambient fine particulate matter and hospital admissions for ischemic and hemorrhagic strokes and transient ischemic attack in 248 Chinese cities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 715:136896. [PMID: 32007884 DOI: 10.1016/j.scitotenv.2020.136896] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 01/11/2020] [Accepted: 01/22/2020] [Indexed: 05/18/2023]
Abstract
Few studies have investigated the acute effects of fine particulate matter (PM2.5) on the risk of stroke subtypes and transient ischemic attack (TIA) in low- and middle-income countries. The primary aim of this study was to assess the associations between short-term exposure to PM2.5 and daily hospital admissions for total cerebrovascular disease, ischemic and hemorrhagic strokes, and TIA in China. A total of 8,359,162 hospital admissions in 248 Chinese cities from 2013 to 2017 were identified from the Hospital Quality Monitoring System of China. Generalized additive models with quasi-Poisson regression were used to estimate the associations in each city, and random-effect meta-analyses were conducted to combine the city-specific estimates. We found that a 10 μg/m3 increase in PM2.5 concentration was significantly associated with a 0.19% (95% CI, 0.13% to 0.25%), 0.26% (95% CI, 0.17% to 0.35%), and 0.26% (95% CI, 0.13% to 0.38%) increase in same-day hospital admissions for total cerebrovascular disease, ischemic stroke, and TIA, respectively. In contrast, a non-significant negative association with PM2.5 was observed for hemorrhagic stroke in the main analyses (lag 0 day), which became statistically significant when using other single-day exposures (lag 1 or 2 days) or moving average exposures (lag 0-1, 0-2, or 0-3 days) as exposure metric. These associations were robust to adjustment for other criteria air pollutants in two-pollutant models. For ischemic stroke, the effect estimates were significantly larger in people aged 65-74 years, in cool season, and in cities with lower annual average PM2.5 concentrations. The exposure-response curves were nonlinear with a leveling off at high concentrations. These results contribute to the relatively limited literature on the PM2.5-related risks of cerebrovascular events in low- and middle-income countries.
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Affiliation(s)
- Jiangshao Gu
- Center for Big Data Research in Health and Medicine, Institute for Data Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Fuzhou Institute of Digital Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China; Institute for Artificial Intelligence, State Key Lab of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
| | - Ying Shi
- China Standard Medical Information Research Center, Shenzhen 518054, China
| | - Ning Chen
- Center for Big Data Research in Health and Medicine, Institute for Data Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Fuzhou Institute of Digital Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China; Institute for Artificial Intelligence, State Key Lab of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
| | - Haibo Wang
- China Standard Medical Information Research Center, Shenzhen 518054, China; Clinical Trial Unit, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
| | - Ting Chen
- Center for Big Data Research in Health and Medicine, Institute for Data Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Fuzhou Institute of Digital Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China; Institute for Artificial Intelligence, State Key Lab of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
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Guo Y, Xie X, Lei L, Zhou H, Deng S, Xu Y, Liu Z, Bao J, Peng J, Huang C. Short-term associations between ambient air pollution and stroke hospitalisations: time-series study in Shenzhen, China. BMJ Open 2020; 10:e032974. [PMID: 32198300 PMCID: PMC7103818 DOI: 10.1136/bmjopen-2019-032974] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To investigate the association between ambient air pollution and stroke morbidity in different subgroups and seasons. METHODS We performed a time-series analysis based on generalised linear models to study the short-term exposure-response relationships between air pollution and stroke hospitalisations, and conducted subgroup analyses to identify possible sensitive populations. RESULTS For every 10 µg/m3 increase in the concentration of air pollutants, across lag 0-3 days, the relative risk of stroke hospitalisation was 1.029 (95% CI 1.013 to 1.045) for PM2.5, 1.054 (95% CI 1.031 to 1.077) for NO2 and 1.012 (95% CI 1.002 to 1.022) for O3. Subgroup analyses showed that statistically significant associations were found in both men and women, middle-aged and older populations, and both cerebral infarction and intracerebral haemorrhage. The seasonal analyses showed that statistically significant associations were found only in the winter. CONCLUSIONS Our study indicates that short-term exposure to PM2.5, NO2 and O3 may induce stroke morbidity, and the government should take actions to mitigate air pollution and protect sensitive populations.
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Affiliation(s)
- Yanfang Guo
- Department of Non-Communicable Disease Control and Prevention, Bao'an District Hospital for Chronic Diseases Prevention and Cure, Shenzhen, China
| | - Xiufang Xie
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lin Lei
- Department of Non-Communicable Disease Control and Prevention, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Haibin Zhou
- Department of Non-Communicable Disease Control and Prevention, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Shizhou Deng
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ying Xu
- Department of Non-Communicable Disease Control and Prevention, Bao'an District Hospital for Chronic Diseases Prevention and Cure, Shenzhen, China
| | - Zheng Liu
- Department of Non-Communicable Disease Control and Prevention, Bao'an District Hospital for Chronic Diseases Prevention and Cure, Shenzhen, China
| | - Junzhe Bao
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ji Peng
- Department of Non-Communicable Disease Control and Prevention, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
- School of Public Health, Zhengzhou University, Zhengzhou, China
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19
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Shen S, Li X, Yuan C, Huang Q, Liu D, Ma S, Hui J, Liu R, Wu T, Chen Q. Association of short-term exposure to sulfur dioxide and hospitalization for ischemic and hemorrhagic stroke in Guangzhou, China. BMC Public Health 2020; 20:263. [PMID: 32085727 PMCID: PMC7035656 DOI: 10.1186/s12889-020-8354-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 02/13/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND In developing countries, ambient sulfur dioxide (SO2) is a serious air pollutant concern, but there is no enough and consistent epidemiological evidence about its health effects on stroke hospitalization. METHODS We collected the daily air pollution data, meteorological data and number of daily hospital admissions for ischemic and hemorrhagic stroke, in Guangzhou from January 1st 2009 to December 31st 2014. Then we applied generalized additive model with a quasi-Poisson link to assess the relationship between short-term SO2 exposure and the total number of hospital admissions for ischemic and hemorrhagic stroke. In addition, we evaluated the effect of ambient SO2 by age (< 65 years and ≥ 65 years). RESULTS During the study period, a 24-h mean concentration of ambient SO2 of 27.82 μg/m3, a total of 58,473 ischemic stroke and 9167 hemorrhagic stroke hospital admissions hospital were recorded. Ambient SO2 was found to increase the risk for both ischemic and hemorrhagic stroke hospital admission in single pollutant model. The maximum value of percentage changes for ischemic and hemorrhagic stroke occurred in lag 0 day and lag 1 day, per 10 μg/m3 increase in SO2 concentrations was corresponded to a 1.27% (95% confidence interval (CI), 0.42-2.12%) and 1.55% (95%CI, 0.02-3.11%) increased risk, respectively. The association between SO2 and ischemic stroke hospitalization was robust to two pollutant model, but for hemorrhagic stroke it's partially weakened after adjusting for co-pollutants. The effect of ambient SO2 on ischemic stroke appeared to be greater for people < 65 years old, but null effect on hemorrhagic stroke was identified for both age groups. CONCLUSIONS We found short-term exposure to ambient SO2 may significantly increase the risks of hospitalization for ischemic stroke. The findings may contribute to a better understanding of the health effects of low-levels of SO2.
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Affiliation(s)
- Shuqun Shen
- School of Public Health, Southern Medical University, 1838#Guangzhou North Avenue, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Chao Yuan
- Department of Neurology, Nanfang Hospital, Southern Medical University, 1838#Guangzhou North Avenue, Guangzhou, Guangdong, 510515, People's Republic of China.,Department of Cardiovascular Surgery & Center for Basic Medical Research, TEDA International Cardiovascular Hospital, Chinese Academy of Medical Sciences, & Nankai University, Tianjin, 300457, China
| | - Qin Huang
- Department of Rheumatology, Nanfang Hospital, Southern Medical University, 1838#Guangzhou North Avenue, Guangzhou, Guangdong, 510515, People's Republic of China.,Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Dongyang Liu
- Department of Pain Management, The State Key Clinical Specialty for Pain Medicine, The Second Affiliated hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510260, People's Republic of China
| | - Shuoyi Ma
- Department of Interventional Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, No.1 Panfu Road, Guangzhou, 510180, Guangdong, People's Republic of China
| | - Jialiang Hui
- First Clinical Medicine College, Southern Medical University, 1838#Guangzhou North Avenue, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Ruiyu Liu
- First Clinical Medicine College, Southern Medical University, 1838#Guangzhou North Avenue, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Tongwei Wu
- First Clinical Medicine College, Southern Medical University, 1838#Guangzhou North Avenue, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Qing Chen
- School of Public Health, Southern Medical University, 1838#Guangzhou North Avenue, Guangzhou, Guangdong, 510515, People's Republic of China.
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Kowalska M, Skrzypek M, Kowalski M, Cyrys J, Ewa N, Czech E. The Relationship between Daily Concentration of Fine Particulate Matter in Ambient Air and Exacerbation of Respiratory Diseases in Silesian Agglomeration, Poland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16071131. [PMID: 30934830 PMCID: PMC6479870 DOI: 10.3390/ijerph16071131] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 03/26/2019] [Accepted: 03/26/2019] [Indexed: 12/26/2022]
Abstract
The relationship between the worsening of air quality during the colder season of the year and respiratory health problems among the exposed population in many countries located in cold climates has been well documented in numerous studies. Silesian Voivodeship, a region located in southern Poland, is one of the most polluted regions in Europe. The aim of this study was to assess the relationship between daily concentration of particulate matter (PM: PM2.5 and PM10) in ambient air and exacerbations of respiratory diseases during the period from 1 January 2016 to 31 August 2017 in the central agglomeration area of Silesian Voivodeship. The study results confirmed a significant increase of daily fine particulate matter concentration in ambient air during the cold season in Silesian Voivodeship with a simultaneous increase of the number of outpatient visits and hospitalizations due to respiratory diseases. The moving average concentration was better suited for the modelling of biological response as a result of PM2.5 or PM10 exposure than the temporal lag of health effects. Each increase of dose expressed in the form of moving average concentration over a longer time leads to an increase in the daily number of respiratory effects. The highest risk of hospitalization due to respiratory diseases was related to longer exposure of PM expressed by two to four weeks of exposure; outpatient visits was related to a shorter exposure duration of 3 days.
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Affiliation(s)
- Małgorzata Kowalska
- Department of Epidemiology, School of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland.
| | - Michał Skrzypek
- Department of Biostatistics, School of Public Health in Bytom, Medical University of Silesia, 40-055 Katowice, Poland.
| | - Michał Kowalski
- Environmental Exposure Assessment Group, Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
| | - Josef Cyrys
- Environmental Exposure Assessment Group, Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
| | - Niewiadomska Ewa
- Department of Biostatistics, School of Public Health in Bytom, Medical University of Silesia, 40-055 Katowice, Poland.
| | - Elżbieta Czech
- Department of Biostatistics, School of Public Health in Bytom, Medical University of Silesia, 40-055 Katowice, Poland.
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