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Fan YX, Zhang W, Li W, Ma YJ, Zhang HQ. Global, regional, and national impact of air pollution on stroke burden: changing landscape from 1990 to 2021. BMC Public Health 2024; 24:2786. [PMID: 39394088 PMCID: PMC11470728 DOI: 10.1186/s12889-024-20230-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 09/30/2024] [Indexed: 10/13/2024] Open
Abstract
BACKGROUND Exposure to air pollution contributes to cardiovascular disease-related deaths and morbidity, including stroke. However, few studies have examined the global stroke burden linked to air pollution. This study aimed to evaluate the global stroke morbidity and mortality associated with air pollution from 1990 to 2021. METHOD With the Global Burden of Disease Study (GBD) 2021, the numbers, and age-standardized rates (ASRs) of deaths and disability-adjusted life years (DALYs) for air pollution-related stroke were reported globally. Further subgroup analyses were conducted by age, sex, region and country, and stroke subtypes. A linear regression model explored global temporal trends and a cluster analysis examined temporal trends across GBD regions. To predict trends until 2040, the age-period-cohort (APC) model and the Bayesian age-period-cohort (BAPC) model were applied. RESULTS In 2021, there were 1,989,686 (95% uncertainty interval [95% UI], 1,530,479-2,493,238) deaths and 44,962,167 (95% UI, 35,020,339 - 55,467,024) DALYs due to air pollution-related stroke. The ASRs increased with age, peaking generally over 85 years. Males, the Central African region, and Guinea-Bissau showed higher stroke burdens Intracerebral hemorrhage was the most lethal subtype, with an ASR of 11.69 (95% UI 8.94-14.69) for deaths and 276.93 (95% UI 212.21-344.36) for DALYs. From 1990 to 2021, the crude number of deaths and DALYs increased by 13.4% and 6.3%, respectively, for the global stroke burden but showed a declining trend when age-standardized. Most GBD regions in Asia and Africa experienced an increasing stroke burden linked to air pollution, while Europe and America showed a decreasing trend. Predictions indicated a gradual reduction in ASRs, with higher rates in males from 2020 to 2040. CONCLUSIONS The global stroke burden associated with air pollution remained significant despite a decreasing trend until 2021. Although future predictions suggested a reduction, the crude counts for stroke burden remained substantial, with significant regional disparities. This warranted the implementation of public health policies and ongoing efforts.
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Affiliation(s)
- Yu-Xiang Fan
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Wen Zhang
- Department of Neurosurgery, Qingyang People's Hospital, Qingyang, 745000, China
| | - Wei Li
- Department of Neurosurgery, The People's Hospital of Leshan Central District, Leshan, 614000, China
| | - Yong-Jie Ma
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Hong-Qi Zhang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
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Yang L, Wang M, Xuan C, Yu C, Zhu Y, Luo H, Meng X, Shi S, Wang Y, Chu H, Chen R, Yan J. Long-term exposure to particulate matter pollution and incidence of ischemic and hemorrhagic stroke: A prospective cohort study in Eastern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 358:124446. [PMID: 38945192 DOI: 10.1016/j.envpol.2024.124446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/18/2024] [Accepted: 06/24/2024] [Indexed: 07/02/2024]
Abstract
Although epidemiological studies have demonstrated significant associations of long-term exposure to particulate matter (PM) air pollution with stroke, evidence on the long-term effects of PM exposure on cause-specific stroke incidence is scarce and inconsistent. We incorporated 33,282 and 33,868 individuals aged 35-75 years without a history of ischemic or hemorrhagic stroke at the baseline in 2014, who were followed up till 2021. Residential exposures to particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) and particulate matter with an aerodynamic diameter less than 10 μm (PM10) for each participant were predicted using a satellite-based model with a spatial resolution of 1 × 1 km. We employed time-varying Cox proportional hazards models to assess the long-term effect of PM pollution on incident stroke. We identified 926 cases of ischemic stroke and 211 of hemorrhagic stroke. Long-term PM exposure was significantly associated with increased incidence of both ischemic and hemorrhagic stroke, with almost 2 times higher risk on hemorrhagic stroke. Specifically, a 10 μg/m³ increase in 3-year average concentrations of PM2.5 was linked to a hazard ratio (HR) of 1.35 (95% confidence interval (CI): 1.18-1.54) for incident ischemic stroke and 1.79 (95% CI: 1.36-2.34) for incident hemorrhagic stroke. The HR related to PM10, though smaller, remained statistically significant, with a HR of 1.25 for ischemic stroke and a HR of 1.51 for hemorrhagic stroke. The excess risks are larger among rural residents and individuals with lower educational attainment. The present cohort study contributed to the mounting evidence on the increased risk of incident stroke associated with long-term PM exposures. Our results further provide valuable evidence on the heightened sensitivity of hemorrhagic stroke to air pollution exposures compared with ischemic stroke.
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Affiliation(s)
- Li Yang
- Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Menghao Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Cheng Xuan
- Chronic Disease Control Department, Zhuji Second People's Hospital, Zhuji, Zhejiang, China
| | - Caiyan Yu
- Chronic Disease Control Department, Zhuji Second People's Hospital, Zhuji, Zhejiang, China
| | - Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yali Wang
- Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Hongjie Chu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jing Yan
- Zhejiang Hospital, Hangzhou, Zhejiang, China.
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Wang KM, Tseng SH, Lee CM, Wang KJ. Transfer behaviors in stroke and dementia development associated with environmental risks. Geriatr Gerontol Int 2024; 24:766-772. [PMID: 39004920 DOI: 10.1111/ggi.14925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/12/2024] [Accepted: 06/02/2024] [Indexed: 07/16/2024]
Abstract
AIM Chronic diseases are influential components of stroke, one of the dominant reasons for dementia and premature mortality. Environmental risks are risk factors for transitioning from stroke to dementia. This study addresses the transition behaviors in stroke and dementia development associated with chronic diseases and environmental risks. METHODS This study is an integrated survey of medical and environmental informatics concerning stroke patients' quality of life. A total of 10 627 stroke patients diagnosed in Taiwan were surveyed in this study. A covariate model and subgroup analysis were used to evaluate the influence of chronic diseases and environmental risk factors (i.e., divorce rate, unemployment rate, solitariness rate, temperature, and air pollution rate) on stroke and the corresponding dementia transition behaviors. RESULTS This study constructed a total of 98 covariate analysis models, consisting of 14 transition types [10 transitions from chronic diseases to stroke (5 metabolic risk states × 2 stroke states) and 4 transitions from stroke to dementia (2 stroke states × 2 dementia states)] by 7 covariates (i.e., sex, age, divorce rate, unemployment rate, temperature, air pollution, and solitariness rate). Among the 98 transitions, 26 were statistically significant. CONCLUSIONS Sex, age, divorce rate, unemployment rate, temperature, and air pollution rate exerted a partially significant influence on the transition from chronic diseases to stroke. Sex, age, unemployment rate, and temperature partially influenced the transition from stroke to dementia. This study also considered high-risk sub-populations of stroke patients, particularly males aged 65 years and below. Geriatr Gerontol Int 2024; 24: 766-772.
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Affiliation(s)
- Kung-Min Wang
- Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Shih-Hsien Tseng
- Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Chia-Min Lee
- Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Kung-Jeng Wang
- Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan
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Czernych R, Kozera G, Badyda AJ, Bieniaszewski L, Zagożdżon P. Air Pollution Increases Risk of Occurrence of Intracerebral Haemorrhage but Not of Subarachnoid Haemorrhage: Time-Series Cross-Sectional Study. Biomedicines 2024; 12:1562. [PMID: 39062135 PMCID: PMC11274972 DOI: 10.3390/biomedicines12071562] [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: 06/05/2024] [Revised: 07/03/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
(1) Background: Haemorrhagic strokes (HS), including intracerebral (ICH) and subarachnoid haemorrhages (SAH), account for approximately 10-15% of strokes worldwide but are associated with worse functional outcomes and higher rates of mortality, and financial burden than ischemic stroke. There is evidence that confirmed poor air quality may increase the incidence of haemorrhagic strokes. The aim of our study was to evaluate the association between individual ambient air pollutants and the risk of haemorrhagic stroke in an urban environment without high levels of air pollution. (2) Methods: A time-series cross-sectional study design was used. A daily air pollution concentration (Agency of Regional Air Quality Monitoring in the Gdansk Metropolitan Area) and incidence of haemorrhagic strokes (National Health Fund) were obtained and covered the time period from 1 January 2014 to 31 December 2018. A generalised additive model with Poisson regression was used to estimate the associations between 24-h mean concentrations of SO2, NO, NO2, NOx, CO, PM10, PM2.5, and O3 and a daily number of haemorrhagic strokes. (3) Results: The single-day lag model results showed that NO2, NO and NOx exposure was associated with increased risk of ICH (88% events) with RR of 1.059 (95% CI: 1.015-1.105 for lag0), 1.033 (95% CI: 1.007-1.060 for lag0) and 1.031 (95% CI: 1.005-1.056 for lag0), but not for SAH (12% events). Exposure to CO was related to a substantial and statistically significant increase in incidence for 1.031 (95% CI: 1.002-1.061 for lag0) but not for SAH. Higher SO2, PM10, PM2.5, and O3 exposures were not significantly related to both ISC and SAH. (4) Conclusions: In this time-series cross-sectional study, we found strong evidence that supports the hypothesis that transient elevations in ambient NO2, NO and CO are associated with a higher relative risk of intracerebral but not subarachnoid haemorrhage.
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Affiliation(s)
- Radosław Czernych
- Department of Hygiene and Epidemiology, Faculty of Medicine, Medical University of Gdańsk, 80-210 Gdańsk, Poland;
| | - Grzegorz Kozera
- Centre of Medical Simulations, Medical University of Gdańsk, 80-204 Gdańsk, Poland; (G.K.); (L.B.)
| | - Artur Jerzy Badyda
- Department of Informatics and Environment Quality Research, Faculty of Building Services, Hydro- and Environmental Engineering, Warsaw University of Technology, 01-604 Warsaw, Poland;
| | - Leszek Bieniaszewski
- Centre of Medical Simulations, Medical University of Gdańsk, 80-204 Gdańsk, Poland; (G.K.); (L.B.)
| | - Paweł Zagożdżon
- Department of Hygiene and Epidemiology, Faculty of Medicine, Medical University of Gdańsk, 80-210 Gdańsk, Poland;
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Wu Y, Shen P, Yang Z, Yu L, Xu L, Zhu Z, Li T, Luo D, Lin H, Shui L, Tang M, Jin M, Chen K, Wang J. Outdoor Light at Night, Air Pollution, and Risk of Cerebrovascular Disease: A Cohort Study in China. Stroke 2024; 55:990-998. [PMID: 38527152 DOI: 10.1161/strokeaha.123.044904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 01/22/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND We sought to explore the associations of outdoor light at night (LAN) and air pollution with the risk of cerebrovascular disease (CeVD). METHODS We included a total of 28 302 participants enrolled in Ningbo, China from 2015 to 2018. Outdoor LAN and air pollution were assessed by Satellite-derived images and land-use regression models. CeVD cases were confirmed by medical records and death certificates and further subdivided into ischemic and hemorrhagic stroke. Cox proportional hazard models were used to estimate hazard ratios and 95% CIs. RESULTS A total of 1278 CeVD cases (including 777 ischemic and 133 hemorrhagic stroke cases) were identified during 127 877 person-years of follow-up. In the single-exposure models, the hazard ratios for CeVD were 1.17 (95% CI, 1.06-1.29) for outdoor LAN, 1.25 (1.12-1.39) for particulate matter with an aerodynamic diameter ≤2.5 µm, 1.14 (1.06-1.22) for particulate matter with aerodynamic diameter ≤10 μm, and 1.21 (1.06-1.38) for NO2 in every interquartile range increase. The results were similar for ischemic stroke, whereas no association was observed for hemorrhagic stroke. In the multiple-exposure models, the associations of outdoor LAN and PM with CeVD persisted but not for ischemic stroke. Furthermore, no interaction was observed between outdoor LAN and air pollution. CONCLUSIONS Levels of exposure to outdoor LAN and air pollution were positively associated with the risk of CeVD. Furthermore, the detrimental effects of outdoor LAN and air pollution might be mutually independent.
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Affiliation(s)
- Yonghao Wu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China (P.S., H.L.)
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Lisha Xu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Zhanghang Zhu
- Department of Public Health, Second Affiliated Hospital (Z.Z., M.J., K.C.), Zhejiang University School of Medicine, Hangzhou, China
| | - Tiezheng Li
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Dan Luo
- Department of Public Health, Hangzhou Medical College, China (D.L.)
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China (P.S., H.L.)
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, China (L.S.)
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital (M.T.), Zhejiang University School of Medicine, Hangzhou, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital (Z.Z., M.J., K.C.), Zhejiang University School of Medicine, Hangzhou, China
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital (Z.Z., M.J., K.C.), Zhejiang University School of Medicine, Hangzhou, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
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Gassel CJ, Andris W, Poli S, Bartz-Schmidt KU, Dimopoulos S, Wenzel DA. Incidence of central retinal artery occlusion peaks in winter season. Front Neurol 2024; 15:1342491. [PMID: 38318439 PMCID: PMC10839045 DOI: 10.3389/fneur.2024.1342491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/08/2024] [Indexed: 02/07/2024] Open
Abstract
Introduction Stroke incidence exhibits seasonal trends, with the highest occurrences observed during winter. This study investigates the incidence of central retinal artery occlusion (CRAO), a stroke equivalent of the retina, and explores its monthly and seasonal variations, as well as potential associations with weather and ambient air pollutants. Methods A retrospective search of medical records spanning 15 years (January 2008-December 2022) was conducted at the University Eye Hospital Tübingen, Germany, focusing on diagnosed cases of CRAO. Incidences were evaluated on a monthly and seasonal basis (winter, spring, summer, fall). Weather data (temperature, precipitation, atmospheric pressure) and concentrations of ambient air pollutants [fine particulate matter (PM2.5), coarse particulate matter (PM10), nitrogen dioxide (NO2), and ozone (O3)], were analyzed for a potential association with CRAO incidence. Results Out of 432 patients diagnosed with CRAO between 2008 and 2022, significantly varying incidences were observed monthly (p = 0.025) and seasonally (p = 0.008). The highest rates were recorded in February and winter, with the lowest rates in June and summer. Concentrations of NO2, PM2.5 and lower ambient air temperature (average, minimum, maximum) showed significant correlations with CRAO incidence. Discussion This comprehensive 15-year analysis reveals a pronounced winter peak in CRAO incidence, with the lowest occurrences in summer. Potential associations between CRAO incidence and ambient air pollutants and temperature underscore the importance of considering seasonal trends and call for further investigations to elucidate contributing factors, potentially leading to targeted preventive strategies and public health interventions.
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Affiliation(s)
- Caroline J. Gassel
- University Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany
| | - Wolfgang Andris
- University Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany
| | - Sven Poli
- Department of Neurology and Stroke, University Hospital Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Tübingen, Germany
| | | | - Spyridon Dimopoulos
- University Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany
| | - Daniel A. Wenzel
- University Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany
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Wilker EH, Osman M, Weisskopf MG. Ambient air pollution and clinical dementia: systematic review and meta-analysis. BMJ 2023; 381:e071620. [PMID: 37019461 PMCID: PMC10498344 DOI: 10.1136/bmj-2022-071620] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/28/2023] [Indexed: 04/07/2023]
Abstract
OBJECTIVE To investigate the role of air pollutants in risk of dementia, considering differences by study factors that could influence findings. DESIGN Systematic review and meta-analysis. DATA SOURCES EMBASE, PubMed, Web of Science, Psycinfo, and OVID Medline from database inception through July 2022. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Studies that included adults (≥18 years), a longitudinal follow-up, considered US Environmental Protection Agency criteria air pollutants and proxies of traffic pollution, averaged exposure over a year or more, and reported associations between ambient pollutants and clinical dementia. Two authors independently extracted data using a predefined data extraction form and assessed risk of bias using the Risk of Bias In Non-randomised Studies of Exposures (ROBINS-E) tool. A meta-analysis with Knapp-Hartung standard errors was done when at least three studies for a given pollutant used comparable approaches. RESULTS 2080 records identified 51 studies for inclusion. Most studies were at high risk of bias, although in many cases bias was towards the null. 14 studies could be meta-analysed for particulate matter <2.5 µm in diameter (PM2.5). The overall hazard ratio per 2 μg/m3 PM2.5 was 1.04 (95% confidence interval 0.99 to 1.09). The hazard ratio among seven studies that used active case ascertainment was 1.42 (1.00 to 2.02) and among seven studies that used passive case ascertainment was 1.03 (0.98 to 1.07). The overall hazard ratio per 10 μg/m3 nitrogen dioxide was 1.02 ((0.98 to 1.06); nine studies) and per 10 μg/m3 nitrogen oxide was 1.05 ((0.98 to 1.13); five studies). Ozone had no clear association with dementia (hazard ratio per 5 μg/m3 was 1.00 (0.98 to 1.05); four studies). CONCLUSION PM2.5 might be a risk factor for dementia, as well as nitrogen dioxide and nitrogen oxide, although with more limited data. The meta-analysed hazard ratios are subject to limitations that require interpretation with caution. Outcome ascertainment approaches differ across studies and each exposure assessment approach likely is only a proxy for causally relevant exposure in relation to clinical dementia outcomes. Studies that evaluate critical periods of exposure and pollutants other than PM2.5, and studies that actively assess all participants for outcomes are needed. Nonetheless, our results can provide current best estimates for use in burden of disease and regulatory setting efforts. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42021277083.
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Affiliation(s)
- Elissa H Wilker
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Environmental Heath, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Marwa Osman
- Department of Environmental Heath, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Marc G Weisskopf
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Environmental Heath, Harvard TH Chan School of Public Health, Boston, MA, USA
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Liu T, Jiang Y, Hu J, Li Z, Li X, Xiao J, Yuan L, He G, Zeng W, Rong Z, Zhu S, Ma W, Wang Y. Joint Associations of Short-Term Exposure to Ambient Air Pollutants with Hospital Admission of Ischemic Stroke. Epidemiology 2023; 34:282-292. [PMID: 36722811 DOI: 10.1097/ede.0000000000001581] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
BACKGROUND Studies have estimated the associations of short-term exposure to ambient air pollution with ischemic stroke. However, the joint associations of ischemic stroke with air pollution as a mixture remain unknown. METHODS We employed a time-stratified case-crossover study to investigate 824,808 ischemic stroke patients across China. We calculated daily mean concentrations of particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5), maximum 8-h average for O3 (MDA8 O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO) across all monitoring stations in the city where the IS patients resided. We conducted conditional logistic regression models to estimate the exposure-response associations. RESULTS Results from single-pollutant models showed positive associations of hospital admission for ischemic stroke with PM2.5 (excess risk [ER] = 0.38%, 95% confidence interval [CI]: 0.29% to 0.47%, for 10 μg/m3), MDA8 O3 (ER = 0.29%, 95% CI: 0.18% to 0.40%, for 10 μg/m3), NO2 (ER = 1.15%, 95% CI: 0.92% to 1.39%, for 10 μg/m3), SO2 (ER = 0.82%, 95% CI: 0.53% to 1.11%, for 10 μg/m3) and CO (ER = 3.47%, 95% CI: 2.70% to 4.26%, for 1 mg/m3). The joint associations (ER) with all air pollutants (for interquartile range width increases in each pollutant) estimated by the single-pollutant model was 8.73% and was 4.27% by the multipollutant model. The joint attributable fraction of ischemic stroke attributable to air pollutants based on the multipollutant model was 7%. CONCLUSIONS Short-term exposures to PM2.5, MDA8 O3, NO2, SO2, and CO were positively associated with increased risks of hospital admission for ischemic stroke. The joint associations of air pollutants with ischemic stroke might be overestimated using single-pollutant models. See video abstract at, http://links.lww.com/EDE/C8.
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Affiliation(s)
- Tao Liu
- From the Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, 100070, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430; China
| | - Zixiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, 100070, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 100070, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430; China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430; China
| | - Lixia Yuan
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430; China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430; China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430; China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430; China
| | - Sui Zhu
- From the Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Wenjun Ma
- From the Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, 100070, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 100070, China
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Hsieh SW, Chen SC, Chen CH, Wu MT, Hung CH. Risk of cognitive impairment from exposure to incense smoke. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:231-242. [PMID: 34913383 DOI: 10.1080/09603123.2021.2014420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 12/01/2021] [Indexed: 06/14/2023]
Abstract
Incense is aromatic biotic material that releases fragrant smoke when burned. We aim to investigate the cognition risks from incense smoke. We obtained data from Taiwan Biobank in community. Cognition function was assessed by mini-mental state examination (MMSE). There were 978 participants in our study, including incense exposure (N = 131) and without incense exposure (N = 847). MMSE scores and registration sub-scores were lowered in incense exposure group than the other group. Incense exposure is one of the independent risk factors for cognitive decline in MMSE and registration sub-scores after adjusting confounding factors We concluded the risk of cognitive impairment, with predominant in registration in healthy individuals with incense exposure in community.
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Affiliation(s)
- Sun-Wung Hsieh
- Department of Neurology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Doctoral Degree Program of Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Szu-Chia Chen
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chun-Hung Chen
- Department of Neurology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Tsang Wu
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung City, Taiwan
- PhD Program of Environmental and Occupational Medicine and Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Chih-Hsing Hung
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Pediatrics, Faculty of Pediatrics, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Pediatrics, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Taiwan
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Abstract
Despite recent advances in treatment and prevention, stroke remains a leading cause of morbidity and mortality. There is a critical need to identify novel modifiable risk factors for disease, including environmental agents. A body of evidence has accumulated suggesting that elevated levels of ambient air pollutants may not only trigger cerebrovascular events in susceptible people (short-term exposures) but also increase the risk of future events (long-term average exposures). This review assesses the updated evidence for both short and long-term exposure to ambient air pollution as a risk factor for stroke incidence and outcomes. It discusses the potential pathophysiologic mechanisms and makes recommendations to mitigate exposure on a personal and community level. The evidence indicates that reduction in air pollutant concentrations represent a significant population-level opportunity to reduce risk of cerebrovascular disease.
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Affiliation(s)
- Erin R Kulick
- Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA (E.R.K.)
| | - Joel D Kaufman
- Department of Medicine, University of Washington, Seattle (J.D.K., C.S.)
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle (J.D.K., C.S.)
- Department of Epidemiology, University of Washington, Seattle (J.D.K.)
| | - Coralynn Sack
- Department of Medicine, University of Washington, Seattle (J.D.K., C.S.)
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle (J.D.K., C.S.)
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11
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Liu J, Wang M, Zhao Y, Chen H, Liu H, Yang B, Shan H, Li H, Shi Y, Wang L, Wang G, Han C. Associations between short-term exposure to ambient PM 2.5 and incident cases of cerebrovascular disease in Yantai, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:21970-21977. [PMID: 36282388 DOI: 10.1007/s11356-022-23626-0] [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: 06/20/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
There are limited studies examining the association between PM2.5 exposure and incident cerebrovascular disease (CD) cases in China. In this study, daily counts of incident CD cases and daily PM2.5 concentrations were obtained in Yantai, Shandong Province, China from 2014 to 2019. We used a combination of the Poisson-distribution generalized linear model (GLM) and a distributed lag nonlinear model (DLNM) to examine the association of short-term exposure to ambient PM2.5 and incident cases of CD. The results revealed that for every 10 μg/m3 increment of PM2.5 would increase the incident CD cases by 0.216% (RR:1.00216, 95%CI:1.0016-1.0028) at lag4. The stratified analysis demonstrated that the females and residents aged 65 years or above presented higher short-term PM2.5-associated CD risks than the males and aged below 65 years. Targeted prevention strategies should be adopted to reduce the PM2.5-related CD burden, especially for the susceptible population in China.
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Affiliation(s)
- Junyan Liu
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Maobo Wang
- Yantai Center for Disease Control and Prevention, Yantai, 264003, Shandong, China
| | - Yang Zhao
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
- The George Institute for Global Health, Peking University Health Science Center, Beijing, China
| | - Haotian Chen
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Haiyun Liu
- Department of Public Health, Shandong College of Traditional Chinese Medicine, 264199, Yantai, China
| | - Baoshun Yang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Haifeng Shan
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Hongyu Li
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Yukun Shi
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Luyang Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Guangcheng Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Chunlei Han
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, China.
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12
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Ma T, Yazdi MD, Schwartz J, Réquia WJ, Di Q, Wei Y, Chang HH, Vaccarino V, Liu P, Shi L. Long-term air pollution exposure and incident stroke in American older adults: A national cohort study. GLOBAL EPIDEMIOLOGY 2022; 4:100073. [PMID: 36644436 PMCID: PMC9838077 DOI: 10.1016/j.gloepi.2022.100073] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 04/12/2022] [Accepted: 04/12/2022] [Indexed: 01/19/2023] Open
Abstract
Aims Stroke is a leading cause of death and disability for Americans, and growing evidence suggests that air pollution may play an important role. To facilitate pollution control efforts, the National Academy of Sciences and the World Health Organization have prioritized determining which air pollutants are most toxic. However, evidence is limited for the simultaneous effects of multiple air pollutants on stroke. Methods and results We constructed a nationwide population-based cohort study, using the Medicare Chronic Conditions Warehouse (2000-2017) and high-resolution air pollution data, to investigate the impact of long-term exposure to ambient PM2.5, NO2, and ground-level O3 on incident stroke. Hazard ratios (HR) for stroke incidence were estimated using single-, bi-, and tri-pollutant Cox proportional hazards models. We identified ~2.2 million incident stroke cases among 17,443,900 fee-for-service Medicare beneficiaries. Per interquartile range (IQR) increase in the annual average PM2.5 (3.7 μg/m3), NO2 (12.4 ppb), and warm-season O3 (6.5 ppb) one-year prior to diagnosis, the HRs were 1.022 (95% CI: 1.017-1.028), 1.060 (95% CI: 1.054-1.065), and 1.021 (95% CI: 1.017-1.024), respectively, from the tri-pollutant model. There was strong evidence of linearity in concentration-response relationships for all three air pollutants in single-pollutant models. This linear relationship remained robust for NO2 and O3 in tri-pollutant models while the effect of PM2.5 attenuated at the lower end of concentrations. Conclusion Using a large nationwide cohort, our study suggests that long-term exposure to PM2.5, NO2, and O3 may independently increase the risk of stroke among the US elderly, among which traffic-related air pollution plays a particularly crucial role.
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Affiliation(s)
- Tszshan Ma
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Weeberb J. Réquia
- School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Howard H. Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Pengfei Liu
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Jeong HY, Kim HJ, Nam KW, Jeong SM, Kwon H, Park JH, Kwon HM. Annual exposure to PM 10 is related to cerebral small vessel disease in general adult population. Sci Rep 2022; 12:19693. [PMID: 36385313 PMCID: PMC9668965 DOI: 10.1038/s41598-022-24326-y] [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: 01/24/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022] Open
Abstract
Ambient air pollution is one of the most important global health issues. Although several studies have been reported the associations between air pollution and brain function or structure, impact of the air pollution on cerebral small vessel disease (cSVD) have rarely been explored in Asian adult population. We evaluated the association between exposure to air pollutants and cSVD in Korean asymptomatic adults. This cross-sectional study included 3257 participants of a health screening program from January 2006 to December 2013. All participants performed brain magnetic resonance imaging. To assess the cSVD, we considered three features such as white matter hyperintensities (WMH), silent lacunar infarction (SLI), and cerebral microbleeds (CMBs). The annual average exposure to air pollutants [particulate matter ≤ 10 μm in aerodynamic diameter (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)] was generated. The mean [standard deviation (SD)] age of the total 3257 participants was 56.5 (9.5) years, and 54.0% of them were male. Among all the included participants, 273 (8.4%) had SLI and 135 (4.1%) had CMBs. The mean volume (± SD) of WMH was 2.72 ± 6.57 mL. In result of linear regression analysis, the volume of WMH was associated with various potential factors including age, height, weight, smoking and alcohol consumption status, blood pressure (BP), hypertension, and diabetes mellitus. SLI-positive group, compared to the SLI-negative group, was older, shorter, and had higher BP as well as higher frequency of hypertension and diabetes mellitus. After adjusting for covariates, the annual average concentration of PM10 was significantly associated with the volume of WMH [β (95% CI) for Model 1 = 0.082 (0.038- 0.125), p < 0.001; β (95% CI) for Model 2 = 0.060 (0.013, 0.107), p = 0.013]. CMBs were not associated with the annual average concentration of PM10. No significant associations of NO2, SO2, and CO with cSVD were observed. In conclusion, PM10 exposure is associated with significant increases in brain WMH' volume and silent lacunar infarcts in asymptomatic adults.
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Affiliation(s)
- Han-Yeong Jeong
- grid.412484.f0000 0001 0302 820XDepartment of Neurology, Emergency Medical Center, Seoul National University Hospital, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Jin Kim
- grid.410914.90000 0004 0628 9810National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea
| | - Ki-Woong Nam
- grid.31501.360000 0004 0470 5905Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 20 Boramae-Ro 5-Gil, Dongjak-Gu, Seoul, 07061 Republic of Korea
| | - Su-Min Jeong
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongro-Gu, Seoul, 03080 Republic of Korea
| | - Hyuktae Kwon
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongro-Gu, Seoul, 03080 Republic of Korea
| | - Jin-Ho Park
- grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongro-Gu, Seoul, 03080 Republic of Korea
| | - Hyung-Min Kwon
- grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 20 Boramae-Ro 5-Gil, Dongjak-Gu, Seoul, 07061 Republic of Korea
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Ambient Air Pollution and Acute Ischemic Stroke—Effect Modification by Atrial Fibrillation. J Clin Med 2022; 11:jcm11185429. [PMID: 36143076 PMCID: PMC9503161 DOI: 10.3390/jcm11185429] [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: 08/10/2022] [Revised: 09/03/2022] [Accepted: 09/12/2022] [Indexed: 11/17/2022] Open
Abstract
Acute ischemic strokes (AIS) are closely linked with air pollution, and there is some evidence that traditional cardiovascular risk factors may alter the relationship between air pollution and strokes. We investigated the effect of atrial fibrillation (AF) on the association of AIS with air pollutants. This was a nationwide, population-based, case-only study that included all AIS treated in public healthcare institutions in Singapore from 2009 to 2018. Using multivariable logistic regression, adjusted for time-varying meteorological effects, we examined how AF modified the association between AIS and air pollutant exposure. A total of 51,673 episodes of AIS were included, with 10,722 (20.7%) having AF. The odds of AIS in patients with AF is higher than those without AF for every 1 µg/m3 increase in O3 concentration (adjusted OR [aOR]: 1.005, 95% CI 1.003–1.007) and every 1 mg/m3 increase in CO concentration (aOR: 1.193, 95% CI 1.050–1.356). However, the odds of AIS in patients with AF is lower than those without AF for every 1 µg/m3 increase in SO2 concentration (aOR: 0.993, 95% CI 0.990–0.997). Higher odds of AIS among AF patients as O3− and CO concentrations increase are also observed in patients aged ≥65 years and non-smokers. The results suggest that AF plays an important role in exacerbating the risk of AIS as the levels of O3 and CO increase.
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15
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Kim H, Festa N, Burrows K, Kim DC, Gill TM, Bell ML. Residential exposure to petroleum refining and stroke in the southern United States. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2022; 17:094018. [PMID: 36340862 PMCID: PMC9629383 DOI: 10.1088/1748-9326/ac8943] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
BACKGROUND The southern United States (U.S.) sustains a disproportionate burden of incident stroke and associated mortality, compared to other parts of the U.S. A large proportion of this risk remains unexplained. Petroleum production and refining (PPR) is concentrated within this region and emits multiple pollutants implicated in stroke pathogenesis. The relationship between residential PPR exposure and stroke has not been studied. OBJECTIVE We aimed to investigate the census tract-level association between residential PPR exposure and stroke prevalence for adults (≥18 years) in seven southern U.S. states in 2018. METHODS We conducted spatial distance- and generalized propensity score-matched analysis that adjusts for sociodemographic factors, smoking, and unmeasured spatial confounding. PPR was measured as inverse-distance weighted averages of petroleum production within 2.5km or 5km from refineries, which was strongly correlated with measured levels of sulfur dioxide, a byproduct of PPR. RESULTS The prevalence of self-reported stroke ranged from 0.4% to 12.7% for all the census tracts of the seven states. People with low socioeconomic status and of Hispanic ethnicity resided closer to petroleum refineries. The non-Hispanic Black population was exposed to higher PPR, while the non-Hispanic White population was exposed to lower PPR. Residential PPR exposure was significantly associated with stroke prevalence. One standard deviation increase in PPR within 5km from refineries was associated with 0.22 (95% confidence interval: 0.09, 0.34) percentage point increase in stroke prevalence. PPR explained 5.6% (2.4, 8.9) of stroke prevalence in the exposed areas. These values differed by states: 1.1% (0.5, 1.7) in Alabama to 11.7% (4.9, 18.6) in Mississippi, and by census tract-level: 0.08% (0.03, 0.13) to 25.3% (10.6, 40.0). CONCLUSIONS PPR is associated with self-reported stroke prevalence, suggesting possible links between pollutants emitted from refineries and stroke. The increased prevalence due to PPR may differ by sociodemographic factors.
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Affiliation(s)
- Honghyok Kim
- School of the Environment, Yale University, New Haven, CT, the United States
| | - Natalia Festa
- Veterans Affairs (VA) Office of Academic Affiliations through the VA/National Clinician Scholars Program and Yale University
- National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Kate Burrows
- The Institute at Brown University for Environment and Society, Providence, RI, the United States
| | - Dae Cheol Kim
- Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Thomas M. Gill
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Michelle L. Bell
- School of the Environment, Yale University, New Haven, CT, the United States
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Recent Insights into Particulate Matter (PM 2.5)-Mediated Toxicity in Humans: An Overview. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127511. [PMID: 35742761 PMCID: PMC9223652 DOI: 10.3390/ijerph19127511] [Citation(s) in RCA: 153] [Impact Index Per Article: 76.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/16/2022] [Accepted: 06/16/2022] [Indexed: 12/10/2022]
Abstract
Several epidemiologic and toxicological studies have commonly viewed ambient fine particulate matter (PM2.5), defined as particles having an aerodynamic diameter of less than 2.5 µm, as a significant potential danger to human health. PM2.5 is mostly absorbed through the respiratory system, where it can infiltrate the lung alveoli and reach the bloodstream. In the respiratory system, reactive oxygen or nitrogen species (ROS, RNS) and oxidative stress stimulate the generation of mediators of pulmonary inflammation and begin or promote numerous illnesses. According to the most recent data, fine particulate matter, or PM2.5, is responsible for nearly 4 million deaths globally from cardiopulmonary illnesses such as heart disease, respiratory infections, chronic lung disease, cancers, preterm births, and other illnesses. There has been increased worry in recent years about the negative impacts of this worldwide danger. The causal associations between PM2.5 and human health, the toxic effects and potential mechanisms of PM2.5, and molecular pathways have been described in this review.
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Chen PC, Sung FC, Mou CH, Chen CW, Tsai SP, Hsieh DHP, Hsu CY. A cohort study evaluating the risk of stroke associated with long-term exposure to ambient fine particulate matter in Taiwan. Environ Health 2022; 21:43. [PMID: 35439956 PMCID: PMC9017007 DOI: 10.1186/s12940-022-00854-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 04/11/2022] [Indexed: 05/06/2023]
Abstract
BACKGROUND Evidences have shown that the stroke risk associated with long-term exposure to particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5) varies among people in North America, Europe and Asia, but studies in Asia rarely evaluated the association by stroke type. We examined whether long-term exposure to PM2.5 is associated with developing all strokes, ischemic stroke and hemorrhagic stroke. METHODS The retrospective cohort study consisted of 1,362,284 adults identified from beneficiaries of a universal health insurance program in 2011. We obtained data on air pollutants and meteorological measurements from air quality monitoring stations across Taiwan in 2010-2015. Annual mean levels of all environmental measurements in residing areas were calculated and assigned to cohort members. We used Cox proportional hazards models to estimate hazard ratio (HR) and 95% confidence interval (CI) of developing stroke associated with 1-year mean levels of PM2.5 at baseline in 2010, and yearly mean levels from 2010 to 2015 as the time-varying exposure, adjusting for age, sex, income and urbanization level. RESULTS During a median follow-up time of 6.0 years, 12,942 persons developed strokes, 9919 (76.6%) were ischemic. The adjusted HRs (95% CIs) per interquartile range increase in baseline 1-year mean PM2.5 were 1.03 (1.00-1.06) for all stroke, 1.06 (1.02-1.09) for ischemic stroke, and 0.95 (0.89-1.10) for hemorrhagic stroke. The concentration-response curves estimated in the models with and without additional adjustments for other environmental measurements showed a positively linear association between baseline 1-year mean PM2.5 and ischemic stroke at concentrations greater than 30 μg/m3, under which no evidence of association was observed. There was an indication of an inverse association between PM2.5 and hemorrhagic stroke, but the association no longer existed after controlling for nitrogen dioxide or ozone. We found similar shape of the concentration-response association in the Cox regression models with time-varying PM2.5 exposures. CONCLUSION Long-term exposure to PM2.5 might be associated with increased risk of developing ischemic stroke. The association with high PM2.5 concentrations remained significant after adjustment for other environmental factors.
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Affiliation(s)
- Pei-Chun Chen
- Department of Public Health, China Medical University College of Public Health, 100 Jingmao Rd Sec. 1, Taichung, 406040, Taiwan.
| | - Fung-Chang Sung
- Department of Health Services Administration, China Medical University College of Public Health, 100 Jingmao Rd Sec. 1, Taichung, 406040, Taiwan.
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan.
- Department of Food Nutrition and Health Biotechnology, Asia University, Taichung, Taiwan.
| | - Chih-Hsin Mou
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Chao W Chen
- University of Maryland Global Campus, Adelphi, MD, USA
| | - Shan P Tsai
- School of Public Health, Texas A&M University, College Station, TX, USA
| | - Dennis H P Hsieh
- Department of Environmental Toxicology, University of California, Davis, CA, USA
| | - Chung Y Hsu
- Graduate Institute of Biomedical Sciences, China Medical University College of Public Health, Taichung, Taiwan
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Elser H, Chen KT, Arteaga D, Reimer R, Picciotto S, Costello S, Eisen EA. Metalworking Fluid Exposure and Stroke Mortality Among US Autoworkers. Am J Epidemiol 2022; 191:1040-1049. [PMID: 35029630 PMCID: PMC9393063 DOI: 10.1093/aje/kwac002] [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: 05/27/2021] [Revised: 11/26/2021] [Accepted: 01/05/2022] [Indexed: 01/16/2023] Open
Abstract
Although air pollution is an important risk factor for stroke, few studies have considered the impact of workplace exposure to particulate matter (PM). We examined implications of exposure to PM composed of metalworking fluids (MWFs) for stroke mortality in the United Autoworkers-General Motors cohort. Cox proportional hazards models with age as the timescale were used to estimate the association of cumulative straight, soluble, and synthetic MWF exposure with stroke mortality, controlling for sex, race, plant, calendar year, and hire year. Among 38,553 autoworkers followed during 1941-1995, we identified 114 ischemic stroke deaths and 113 hemorrhagic stroke deaths. Overall stroke mortality risk was increased among workers in the middle exposure category for straight MWF (hazard ratio (HR) = 1.31, 95% confidence interval (CI): 0.87, 1.98) and workers in the highest exposure category for synthetic MWF (HR = 1.94, 95% CI: 1.13, 3.16) compared with workers who had no direct exposure. Ischemic stroke mortality risk was increased among workers in the highest exposure categories for straight MWF (HR = 1.45, 95% CI: 0.83, 2.52) and synthetic MWF (HR = 2.39, 95% CI: 1.39, 4.50). We observed no clear relationship between MWF exposure and hemorrhagic stroke mortality. Our results support a potentially important role for occupational PM exposures in stroke mortality and indicate the need for further studies of PM exposure and stroke in varied occupational settings.
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Affiliation(s)
- Holly Elser
- Correspondence to Dr. Holly Elser, Department of Neurology, 3 Gates, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104 (e-mail: )
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Li F, Zhong J, He F, Wang H, Lin J, Yu M. Stock market fluctuation and stroke incidence: A time series study in Eastern China. Soc Sci Med 2022; 296:114757. [DOI: 10.1016/j.socscimed.2022.114757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 01/21/2022] [Accepted: 01/26/2022] [Indexed: 01/22/2023]
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Ho AFW, Lim MJR, Zheng H, Leow AST, Tan BYQ, Pek PP, Raju Y, Seow WJ, Yeo TT, Sharma VK, Aik J, Ong MEH. Association of ambient air pollution with risk of hemorrhagic stroke: A time-stratified case crossover analysis of the Singapore stroke registry. Int J Hyg Environ Health 2021; 240:113908. [PMID: 34974273 DOI: 10.1016/j.ijheh.2021.113908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/06/2021] [Accepted: 12/15/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Haemorrhagic stroke (HS) is a major cause of mortality and disability. Previous studies reported inconsistent associations between ambient air pollutants and HS risk. OBJECTIVE We evaluated the association between air pollutant exposure and the risk of HS in a cosmopolitan city in the tropics. METHODS We performed a nationwide, population-based, time-stratified case-crossover analysis on all HS cases reported to the Singapore Stroke Registry from 2009 to 2018 (n = 12,636). We estimated the risk of HS across tertiles of air pollutant concentrations in conditional Poisson models, adjusting for meteorological confounders. We stratified our analysis by age, atrial fibrillation and smoking status, and investigated the lagged effects of each pollutant on the risk of HS up to 5 days. RESULTS All 12,636 episodes of HS were included. The median (1st-to 3rd-quartile) daily pollutant levels from 22 remote stations deployed across the island were as follows: (PM2.5 = 15.9 (12.7-20.5), PM10 = 27.3 (22.7-33.4), O3 = 22.5 (17.3-29.8), NO2 = 23.3 (18.8-28.4), SO2 = 10.2 (5.6-14.4), CO = 0.5 (0.5-0.6). The median (1st-to 3rd-quartile) temperature (°C) was 27.9 (27.1-28.7), that of relative humidity (%) was 79.4 (75.6-83.2), and that of total rainfall (mm) was 0.0 (0.0-4.2). Higher levels of CO were significantly associated with an increased risk of HS (3rd tertile vs 1st tertile: Incidence Rate Ratio (IRR) = 1.06, 95% CI = 1.01-1.12). The increased risk of HS due to CO persisted for at least 5 days after exposure. Individuals under 65 years old and non-smokers had a higher risk of HS when exposed to CO. O3 was associated with increased risk of HS up to 5 days (3rd tertile vs 1st tertile: IRRday 1 = 1.07, 95% CI = 1.02-1.12; IRRday 5 = 1.07, 95% CI = 1.02-1.13). CONCLUSION Short-term exposure to ambient CO levels was associated with an increased risk of HS. A reduction in CO emissions may reduce the burden of HS in the population.
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Affiliation(s)
- Andrew Fu Wah Ho
- Department of Emergency Medicine, Singapore General Hospital, Singapore; Pre-hospital and Emergency Research Centre, Health Services and Systems Research, Duke-NUS Medical School, Singapore.
| | - Mervyn Jun Rui Lim
- Division of Neurosurgery, Department of Surgery, National University Hospital, Singapore
| | - Huili Zheng
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | | | | | - Pin Pin Pek
- Pre-hospital and Emergency Research Centre, Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Yogeswari Raju
- Environmental Quality Monitoring Department, Environmental Monitoring and Modelling Division, National Environment Agency, Singapore
| | - Wei-Jie Seow
- National Registry of Diseases Office, Health Promotion Board, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Tseng Tsai Yeo
- Division of Neurosurgery, Department of Surgery, National University Hospital, Singapore
| | - Vijay K Sharma
- Division of Neurology, Department of Medicine, National University Health System, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Joel Aik
- Pre-hospital and Emergency Research Centre, Health Services and Systems Research, Duke-NUS Medical School, Singapore; Environmental Epidemiology and Toxicology Division, National Environment Agency, Singapore
| | - Marcus Eng Hock Ong
- Department of Emergency Medicine, Singapore General Hospital, Singapore; Pre-hospital and Emergency Research Centre, Health Services and Systems Research, Duke-NUS Medical School, Singapore
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Xu Y, Chen JT, Holland I, Yanosky JD, Liao D, Coull BA, Wang D, Rexrode K, Whitsel EA, Wellenius GA, Laden F, Hart JE. Analysis of long- and medium-term particulate matter exposures and stroke in the US-based Health Professionals Follow-up Study. Environ Epidemiol 2021; 5:e178. [PMID: 34909558 PMCID: PMC8663831 DOI: 10.1097/ee9.0000000000000178] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/14/2021] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Stroke is a leading cause of mortality worldwide, and air pollution is the third largest contributor to global stroke burden. Existing studies investigating the association between long-term exposure to particulate matter (PM) and stroke incidence have been mixed and very little is known about the associations with medium-term exposures. Therefore, we wanted to evaluate these associations in an cohort of male health professionals. METHODS We assessed the association of PM exposures in the previous 1 and 12 months with incident total, ischemic, and hemorrhagic stroke in 49,603 men in the prospective US-based Health Professionals' Follow-up Study 1988-2007. We used spatiotemporal prediction models to estimate monthly PM less than 10 (PM10) and less than 2.5 (PM2.5), and PM2.5-10 at all mailing addresses. We used time-varying Cox proportional hazards models adjusted for potential confounders based on previous literature to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for each 10-μg/m3 increase in exposure in the preceding 1 and 12 months. We explored possible effect modification by age, obesity, smoking, aspirin use, diet quality, physical activity, diabetes, and Census region. RESULTS We observed 1,467 cases of incident stroke. Average levels of 12-month PM10, PM2.5-10, and PM2.5 were 20.7, 8.4, and 12.3 µg/m3, respectively. In multivariable adjusted models, we did not observe consistent associations between PM and overall or ischemic stroke. There was a suggestion of increased risk of hemorrhagic stroke (12-month PM10 multivariable HR: 1.13 [0.86, 1.48]; PM2.5-10: 1.12 [0.78, 1.62]; PM2.5:1.17 [0.76, 1.81], all per 10 µg/m3). There was little evidence of effect modification. CONCLUSIONS We observed only weak evidence of an association between long-term exposure to PM and risks of overall incident stroke. There was a suggestion of increasing hemorrhagic stroke risk.
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Affiliation(s)
- Yenan Xu
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA
| | - Jarvis T. Chen
- Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA
| | - Isabel Holland
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Jeff D. Yanosky
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
| | - Duanping Liao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
| | - Brent A. Coull
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA
| | - Dong Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA
| | - Kathryn Rexrode
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC
| | - Gregory A. Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, MA
| | - Francine Laden
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - Jaime E. Hart
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
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22
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Weng L, Li N, Feng T, Zhu R, Zheng ZJ. Short-Term Association of Air Pollutant Levels and Hospital Admissions for Stroke and Effect Modification by Apparent Temperature: Evidence From Shanghai, China. Front Public Health 2021; 9:716153. [PMID: 34646803 PMCID: PMC8503471 DOI: 10.3389/fpubh.2021.716153] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 08/23/2021] [Indexed: 11/19/2022] Open
Abstract
The epidemiological evidence on relationships between air pollution, temperature, and stroke remains inconclusive. Limited evidence is available for the effect modification by apparent temperature, an indicator reflecting reactions to the thermal environment, on short-term associations between air pollution and hospital admissions for stroke. We used a generalized additive model with Poisson regression to estimate the relative risk (RR) of stroke admissions in Shanghai, China, between 2014 and 2016 associated with air pollutants, with subgroup analyses by age, sex, apparent temperature, and season. During the study period, changes in the daily number of stroke admissions per 10 μg/m3 increase in nitrogen dioxide (at lags 0, 1, 0–1, and 0–2) ranged from 1.05 (95% CI: 0.82%, 2.88%) to 2.24% (95% CI: 0.84%, 3.65%). For each 10 μg/m3 increase in sulfur dioxide concentrations at lags 1, 2, 0–1, and 0–2, the RR of daily stroke admissions increased by 3.34 (95% CI: 0.955%, 5.79%), 0.32 (95% CI: −1.97%, 2.67%), 3.33 (95% CI: 0.38%, 6.37%), and 2.86% (95% CI: −0.45%, 6.28%), respectively. The associations of same-day exposure to nitrogen dioxide with stroke admissions remained significant after adjustment for ozone levels. These associations were not modified by sex, age, apparent temperature, or season. More research is warranted to determine whether apparent temperature modifies the associations between air pollution and stroke admissions.
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Affiliation(s)
- Lvkan Weng
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Chest Hospital, Shanghai, China
| | - Na Li
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Tienan Feng
- Clinic Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rongjia Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University, Shanghai, China.,Clinic Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhi-Jie Zheng
- Department of Global Health, School of Public Health, Peking University, Beijing, China
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23
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Vasquez HE, Prasad L, Moscote-Salazar LR, Agrawal A. Atmospheric variables and subarachnoid hemorrhage: narrative review. EGYPTIAN JOURNAL OF NEUROSURGERY 2021. [DOI: 10.1186/s41984-021-00102-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023] Open
Abstract
Abstract
Background
Stroke is a neurological emergency that tends to be the first cause of death in many countries. Atmospheric variables are strongly associated with stroke, in which subarachnoid hemorrhage (SAH) has been associated in many studies to meteorological risk factors such as air pollution, air pressure, weather changes, and ambient temperature. These characteristics may influence the brain circulation and cause SAH, being diagnosed as idiopathic SAH or SAH with unknown cause.
Objective
The main objective of this review is to present the most relevant meteorological risk factors that may develop subarachnoid hemorrhage according to the current evidence that supports the strong association.
Conclusion
Brain vessel circulation may be influenced by atmospheric variables such as air pollution and weather changes, generating intrinsic changes in the intima of the vessels which leads to vasospasm and with comorbidities associated may develop SAH.
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24
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Sokoty L, Rimaz S, Hassanlouei B, Kermani M, Janani L. Short-term effects of air pollutants on hospitalization rate in patients with cardiovascular disease: a case-crossover study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:26124-26131. [PMID: 33484464 DOI: 10.1007/s11356-021-12390-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 01/04/2021] [Indexed: 06/12/2023]
Abstract
Considering the increasing rate of hospitalization due to the symptoms intensification, and the increasing trend of air pollution, this study aimed to determine the relationship between the amount of air pollutants and the incidence of cardiovascular disease leading to hospitalization. This case-crossover study was carried out on the data of admitted patients with cardiovascular disease such as hypertension, ischemic heart disease, and cerebrovascular disease in Urmia during 2011-2016. Weather data about air pollutants (NO2, PM10, SO2, and CO) were obtained from the meteorological department of Urmia. The data were coded for each patient and matched with the meteorological data for statistical modeling. The data were analyzed through STATA version 14. Conditional logistic regression was used to estimate the effects of air pollutants on cardiovascular disease adjusted to air temperature, relative humidity, and air pollutants. The final analysis was performed on 43,424 patients with cardiovascular disease using code I10-I99 including ischemic heart disease, hypertension, and cerebrovascular disease adjusted to air temperature and relative humidity. Of all pollutants, CO with each increase 10 μg/m3 had a meaningful relationship with the incidence of cardiovascular hospitalization. By selecting the window of exposure, 1, 2, and 6 days before admission, lag 6 (6 days) was the best estimation for exposure time in the patients with cardiovascular patients (OR 1.0056, CI 1.0041-1.007), and in the patients with ischemic heart disease (OR 1.000055, CI 1.000036-1.000075) and in the patients with hypertension (OR 1.000076, CI 1.00002-1.000132). Regarding cerebrovascular disease, no statistically significant association was observed. The results showed that only CO was associated with an increased risk of admission in patients with cardiovascular disease, ischemic heart disease, and hypertension, and there was no clear evidence for pollution effects on cerebrovascular diseases.
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Affiliation(s)
- Leily Sokoty
- Department of Epidemiology, School of Public Health, Iran of University of Medical Sciences, Tehran, Iran
| | - Shahnaz Rimaz
- Research Center for Environmental Health Technology, Radiation Biology Research Center, Department of Epidemiology, School of Public Health, Iran of University of Medical Sciences, Tehran, Iran
| | - Babak Hassanlouei
- Department of Epidemiology, School of Public Health, Iran of University of Medical Sciences, Tehran, Iran
| | - Majid Kermani
- Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Leila Janani
- Biostatistics, School of Public Health, Preventive Medicine and Public Health Research Center, Iran University of Medical Science, Tehran, Iran.
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25
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Mei P, Malik V, Harper RW, Jiménez JM. Air pollution, human health and the benefits of trees: a biomolecular and physiologic perspective. ACTA ACUST UNITED AC 2021. [DOI: 10.1080/03071375.2020.1854995] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Patrick Mei
- Department of Biochemistry and Molecular Biology, University of Massachusetts, Amherst, MA, USA
| | - Vaishali Malik
- Department of Biochemistry and Molecular Biology, University of Massachusetts, Amherst, MA, USA
| | - Richard W. Harper
- Department of Environmental Conservation, University of Massachusetts, Amherst, MA, USA
| | - Juan M. Jiménez
- Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, USA
- Department of Biomedical Engineering, University of Massachusetts, Amherst, MA, USA
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26
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Ban J, Wang Q, Ma R, Zhang Y, Shi W, Zhang Y, Chen C, Sun Q, Wang Y, Guo X, Li T. Associations between short-term exposure to PM 2.5 and stroke incidence and mortality in China: A case-crossover study and estimation of the burden. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 268:115743. [PMID: 33022547 DOI: 10.1016/j.envpol.2020.115743] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 09/23/2020] [Accepted: 09/24/2020] [Indexed: 05/17/2023]
Abstract
Stroke and fine particulate matter (PM2.5) are two important public health concerns worldwide. Although numerous studies have reported the associations between PM2.5 and stroke, scientific evidence in China is incomplete, particularly the effect of PM2.5 on the acute incidence and national acute health burdens of stroke attributed to PM2.5 pollution. This study identified about 131,947 registered patients and 23,018 deaths due to stroke in 10 counties located in various regions from 2013 to 2017. Using a time-stratified case-crossover design, this study evaluated the associations between short-term exposure to PM2.5 and the risks of acute incidence and mortality for different types of stroke on the same spatiotemporal scale. With a 10 μg/m3 increase in the PM2.5 concentration, the acute incidence risk increased by 0.37% (0.15%, 0.60%) for stroke, 0.46% (0.21%, 0.72%) for ischemic stroke, and -0.13% (-0.73%, 0.48%) for hemorrhagic stroke. The corresponding values for the mortality risk were 0.71% (0.08%, 1.33%), 1.09% (0.05%, 2.14%), and 0.43% (-0.44%, 1.31%) for stroke, ischemic stroke and hemorrhagic stroke, respectively. Compared with the other groups, females and patients aged over 64 years presented higher incidence and mortality risks, while the group aged >75 years may exhibit a greater risk of mortality. Based on the estimated effects, we evaluated 43,300 excess deaths and 48,800 acute incidences attributed to short-term PM2.5 exposure across China in 2015. This study provided robust estimates of PM2.5-induced stroke incidence and mortality risks, and susceptible populations were identified. Excess mortality and morbidity attributed to short-term PM2.5 exposure indicate the necessity to implement health care and prevention strategies, as well as medical resource allocation for noncommunicable diseases in regions with high levels of air pollution.
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Affiliation(s)
- Jie Ban
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
| | - Qing Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
| | - Runmei Ma
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
| | - Yingjian Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China; Jinan Center for Disease Control and Prevention, No.2 Weiliu Road Huaiyin District, Jinan, 250021, China
| | - Wangying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
| | - Yayi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
| | - Yanwen Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China.
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli Chaoyang District, Beijing, 100021, China
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27
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Qi X, Wang Z, Guo X, Xia X, Xue J, Jiang G, Gu Y, Han S, Yao Q, Cai Z, Wang X, Wang L, Leng SX, Li X. Short-term effects of outdoor air pollution on acute ischaemic stroke occurrence: a case-crossover study in Tianjin, China. Occup Environ Med 2020; 77:862-867. [PMID: 32855345 PMCID: PMC7677458 DOI: 10.1136/oemed-2019-106301] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 07/07/2020] [Accepted: 08/02/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Ambient air pollution is associated with ischaemic stroke incidence. However, most of the previous studies used stroke-related hospital admission rather than stroke onset itself. This study aimed to evaluate the relationship between ambient air pollutant exposures and acute ischaemic stroke based on the timing of symptom onset. METHODS A time-stratified, case-crossover analysis was performed among 520 patients who had ischaemic stroke admitted to the Second Hospital of Tianjin Medical University (Tianjin, China) between 1 April 2018 and 31 March 2019 (365 days). Daily air pollutant concentrations of particulate matter with aerodynamic diameter 2.5 µm, particulate matter with aerodynamic diameter 10 µm (PM10), sulfur dioxide, nitrogen dioxide, carbon monoxide and ozone were obtained from fixed-site monitoring stations. We used conditional logistic regression to estimate OR and 95% CI corresponding to an increase in IQR of each air pollutant after adjusting for the effects of temperature and relative humidity. RESULTS Overall, a higher risk of ischaemic stroke was found between April and September. During this period PM10 was associated with an increased risk of ischaemic stroke (1-day lag: OR=1.49, 95% CI 1.09 to 2.02; 3-day mean: OR=1.58, 95% CI 1.09 to 2.29) among patients between 34 and 70 years old. Positive associations were also observed between PM10 (1-day lag: OR=1.51, 95% CI 1.10 to 2.07; 3-day mean: OR=1.57, 95% CI 1.08 to 2.29), ozone (1-day lag: OR=1.83, 95% CI 1.16 to 2.87; 3-day mean: OR=1.90, 95% CI 1.06 to 3.42) and ischaemic stroke occurrence among those with hyperlipidaemia. CONCLUSION Our results suggest that air pollution is associated with a higher risk of ischaemic stroke in younger people or people with hyperlipidemia. These findings still need to be further investigated.
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Affiliation(s)
- Xuemei Qi
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Zhongyan Wang
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xiaokun Guo
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xiaoshuang Xia
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Juanjuan Xue
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Guojing Jiang
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Yumeng Gu
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Suqin Han
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER/CMA-NKU), Tianjin Environmental Meteorology Center, Tianjin, China
| | - Qing Yao
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER/CMA-NKU), Tianjin Environmental Meteorology Center, Tianjin, China
| | - Ziying Cai
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER/CMA-NKU), Tianjin Environmental Meteorology Center, Tianjin, China
| | - Xiaojia Wang
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER/CMA-NKU), Tianjin Environmental Meteorology Center, Tianjin, China
| | - Lin Wang
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Sean X Leng
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Xin Li
- Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China
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Long-term Exposure to Low Air Pollutant Concentrations and the Relationship with All-Cause Mortality and Stroke in Older Men. Epidemiology 2020; 30 Suppl 1:S82-S89. [PMID: 31181010 DOI: 10.1097/ede.0000000000001034] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Long-term air pollution exposure has been associated with increased risk of mortality and stroke. Less is known about the risk at lower concentrations. The association of long-term exposure to PM2.5, PM2.5 absorbance, NO2, and NOx with all-cause mortality and stroke was investigated in a cohort of men aged ≥ 65 years who lived in metropolitan Perth, Western Australia. METHODS Land use regression models were used to estimate long-term exposure to air pollutants at participant's home address (n = 11,627) over 16 years. Different metrics of exposure were assigned: baseline; year before the outcome event; and average exposure across follow-up period. The Mortality Register and Hospital Morbidity Data from the Western Australia Data Linkage System were used to ascertain mortality and stroke cases. Hazard ratios (HRs) and 95% confidence intervals were estimated using Cox proportional hazard models, adjusting for age, smoking, education, and body mass index for all-cause mortality. For fatal and hospitalized stroke, the models included variables controlled for all-cause mortality plus hypertension. RESULTS Fifty-four percent of all-participants died, 3% suffered a fatal stroke, and 14% were hospitalized stroke cases. PM2.5 absorbance increased the risk of all-cause mortality with adjusted HR of 1.12 (1.02-1.23) for baseline and average exposures, and 1.14 (1.02-1.24) for past-year exposure. There were no associations between PM2.5 absorbance, NO2, and NOx and stroke outcomes. However, PM2.5 was associated with reduced risks of fatal stroke. CONCLUSION Long-term exposure to PM2.5 absorbance was associated with all-cause mortality among older men exposed to low concentrations; and exposure to PM2.5 was associated with reduced risk of fatal stroke.
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Liu G, Sun B, Yu L, Chen J, Han B, Li Y, Chen J. The Gender-Based Differences in Vulnerability to Ambient Air Pollution and Cerebrovascular Disease Mortality: Evidences Based on 26781 Deaths. Glob Heart 2020; 15:46. [PMID: 32923340 PMCID: PMC7427691 DOI: 10.5334/gh.849] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 12/21/2022] Open
Abstract
The gender-based differences in the vulnerability to ambient air pollution have not been widely explored. This study aimed to investigate vulnerability differences to the short-term effects of PM2.5, PM10 and O3 between cerebrovascular diseases (CEVD) deaths of men and women. The general additive models (GAMs) and distributed lag non-linear models (DLNMs) were adopted, and both single-pollutant and two-pollutant models were performed to analyze the associations between ambient air pollution and daily CEVD deaths. Both models indicated that O3 was the most suspicious pollutant that could induce excess CEVD deaths, and women tended to be more vulnerable to O3. These results were confirmed by seasonal analysis, in which we also found both genders were more vulnerable to O3 in winter. The exposure-response relationships revealed that women were usually more vulnerable to ambient air pollution than men, and the exposure-response curves differed significantly between genders. Our findings suggested that more attention should be paid on the adverse effects of ambient O3, and the protection of women CEVD population against air pollution should be emphasized.
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Affiliation(s)
- Guangcong Liu
- Department of Occupational and Environmental Health, School of Public Health, China Medical University, Shenyang, CN
- Liaoning Key Laboratory of Urban Ecology, Shenyang Academy of Environmental Sciences, Shenyang, CN
| | - Baijun Sun
- Shenyang Center for Disease Control and Prevention, Shenyang, CN
| | - Lianzheng Yu
- Department of Noncommunicable Chronic Disease Prevention, Liaoning Center for Disease Control and Prevention, Shenyang, CN
| | - Jianping Chen
- Shenyang Center for Disease Control and Prevention, Shenyang, CN
| | - Bing Han
- Department of Occupational and Environmental Health, School of Public Health, China Medical University, Shenyang, CN
| | - Yizhuo Li
- Liaoning Key Laboratory of Urban Ecology, Shenyang Academy of Environmental Sciences, Shenyang, CN
| | - Jie Chen
- Department of Occupational and Environmental Health, School of Public Health, China Medical University, Shenyang, CN
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Deng Z, Tan C, Xiang Y, Pan J, Shi G, Huang Y, Xiong Y, Xu K. Association between fine particle exposure and common test items in clinical laboratory: A time-series analysis in Changsha, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 723:137955. [PMID: 32220731 DOI: 10.1016/j.scitotenv.2020.137955] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 02/10/2020] [Accepted: 03/13/2020] [Indexed: 06/10/2023]
Abstract
Most studies on the health effects of PM2.5 (fine particulate matter with diameter smaller than 2.5 μm) use indirect indicators, such as mortality and number of hospital visits. Recent research shows that biomarkers can also be used to evaluate the health effects of PM2.5; however, these biomarkers are not very common. Clinical laboratories can provide a significant amount of test data that have been proven to have important diagnostic value. Therefore, we use big data analysis methods to find the associations between clinical laboratory common test items and PM2.5 exposure. Data related to air pollution and meteorological information between 2014 and 2016 were obtained from the China National Environmental Monitoring Centre and the China National Meteorological Information Center. Additionally, data of 27 common test items from the same period were collected from Changsha Central Hospital. Primary analyses included a generalized additive model to analyze the associations between PM2.5 concentration and common test items; the model was adjusted for time trends, weather conditions (temperature and humidity), and days of the week. Furthermore, we adjusted the effects of other air pollutants, such as PM10, SO2, NO2, CO, and O3. 17 items such as TP, ALB, ALT, AST, TBIL, DBIL, UREA, CREA, UA, GLU, LDL, WBC, K, Cl, Ca, TT, and FIB were significantly positively associated with PM2.5 concentration (P< 0.05) and have concentration-response relationship. After adjusting the effect of PM10+SO2+NO2+CO+O3, TP, ALB, ALT, AST, TBIL, DBIL, UREA, CREA, UA, GLU, WBC, Cl, and Ca were still significantly associated with PM2.5 concentration (P< 0.05). This current study suggested that clinical laboratory common test items may be used to assess and predict the health effects of PM2.5 on the population.
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Affiliation(s)
- Zhonghua Deng
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha 410013, PR China; Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China; Department of Medical Laboratory, Hunan Provincial People's Hospital, Changsha 410005, PR China; Department of Medical Laboratory, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, PR China
| | - Chaochao Tan
- Department of Medical Laboratory, Hunan Provincial People's Hospital, Changsha 410005, PR China; Department of Medical Laboratory, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, PR China
| | - Yangen Xiang
- Department of Medical Laboratory, Changsha Central Hospital, Changsha 410004, PR China
| | - Jianhua Pan
- Department of Medical Laboratory, Changsha Central Hospital, Changsha 410004, PR China
| | - Guomin Shi
- Department of Medical Laboratory, Changsha Central Hospital, Changsha 410004, PR China
| | - Yue Huang
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha 410013, PR China; Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China
| | - Yican Xiong
- Department of Gastrointestinal and Pediatric Surgery, Hunan Provincial People's Hospital, Changsha 410005, PR China
| | - Keqian Xu
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha 410013, PR China; Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha 410013, PR China.
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Ritz B, Hoffmann B, Peters A. The Effects of Fine Dust, Ozone, and Nitrogen Dioxide on Health. DEUTSCHES ARZTEBLATT INTERNATIONAL 2020; 51-52:881-886. [PMID: 31941576 DOI: 10.3238/arztebl.2019.0881] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 06/13/2019] [Accepted: 11/15/2019] [Indexed: 02/03/2023]
Abstract
BACKGROUND Air pollutants, especially fine dust, ozone, and nitrogen dioxide, pose a danger to health worldwide. In 2005, the World Health Organization (WHO), in order to protect public health, issued global recommendations for maximum levels of fine dust (10 μg/m3 for fine dust particles smaller than 2.5 μm [PM2.5]), ozone, and nitrogen dioxide. The recommended levels are regularly exceeded in many places in Germany. METHODS This review is based on relevant publications retrieved by a selective search in PubMed and, in part, on an expert statement issued in the name of the International Society for Environmental Epidemiology (ISEE) and the European Respiratory Society (ERS). RESULTS Air pollutants affect the entire body, from the beginning of intrauterine development all the way to the end of life, causing premature death mainly through lung and heart disease. An epidemiological study has shown, for example, that mor- tality rises approximately 7% for every incremental long-term exposure to 5 μg/m3 PM2.5 (95% confidence interval: [2; 13]). Aside from lung and heart disease, the carcinogenic effect of fine dust is now well established. High fine-dust exposure has also been linked to metabolic diseases. For example, in a meta-analysis of cohort studies, the incidence of type 2 diabetes mellitus was found to be associated with elevated fine dust concentrations, with a 25% relative risk increase [10; 43] for every 10 µg/m3 of PM2.5. More recent studies have shown that these substances cause harm even in concentrations that are below the recommended limits. CONCLUSION It is very important for public health that the current EU standards for rkedly lowered so that health risks can be further reduced, in accordance with the recommendations of the WHO.
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Affiliation(s)
- Beate Ritz
- University of California, Los Angeles, USA; Institute of Occupational, Social, and Environmental Medicine, University of Düsseldorf; Helmholtz Center Munich and University of Munich
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Kulick ER, Wellenius GA, Boehme AK, Joyce NR, Schupf N, Kaufman JD, Mayeux R, Sacco RL, Manly JJ, Elkind MSV. Long-term exposure to air pollution and trajectories of cognitive decline among older adults. Neurology 2020; 94:e1782-e1792. [PMID: 32269113 PMCID: PMC7274848 DOI: 10.1212/wnl.0000000000009314] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 11/22/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate the association between long-term exposure to ambient air pollution and cognitive decline in older adults residing in an urban area. METHODS Data for this study were obtained from 2 prospective cohorts of residents in the northern Manhattan area of New York City: the Washington Heights-Inwood Community Aging Project (WHICAP) and the Northern Manhattan Study (NOMAS). Participants of both cohorts received in-depth neuropsychological testing at enrollment and during follow-up. In each cohort, we used inverse probability weighted linear mixed models to evaluate the cross-sectional and longitudinal associations between markers of average residential ambient air pollution (nitrogen dioxide [NO2], fine particulate matter [PM2.5], and respirable particulate matter [PM10]) levels in the year prior to enrollment and measures of global and domain-specific cognition, adjusting for sociodemographic factors, temporal trends, and censoring. RESULTS Among 5,330 participants in WHICAP, an increase in NO2 was associated with a 0.22 SD lower global cognitive score at enrollment (95% confidence interval [CI], -0.30, -0.14) and 0.06 SD (95% CI, -0.08, -0.04) more rapid decline in cognitive scores between visits. Results were similar for PM2.5 and PM10 and across functional cognitive domains. We found no evidence of an association between pollution and cognitive function in NOMAS. CONCLUSION WHICAP participants living in areas with higher levels of ambient air pollutants have lower cognitive scores at enrollment and more rapid rates of cognitive decline over time. In NOMAS, a smaller cohort with fewer repeat measurements, we found no statistically significant associations. These results add to the evidence regarding the adverse effect of air pollution on cognitive aging and brain health.
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Affiliation(s)
- Erin R Kulick
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL.
| | - Gregory A Wellenius
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
| | - Amelia K Boehme
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
| | - Nina R Joyce
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
| | - Nicole Schupf
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
| | - Joel D Kaufman
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
| | - Richard Mayeux
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
| | - Ralph L Sacco
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
| | - Jennifer J Manly
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
| | - Mitchell S V Elkind
- From the Department of Epidemiology (E.R.K., G.A.W., N.R.J.), Brown University School of Public Health, Providence, RI; Departments of Neurology (E.R.K., A.K.B., N.S., M.S.V.E.) and Psychiatry (R.M.) and Gertrude H. Sergievsky Center (N.S., R.M., J.J.M., M.S.V.E.), Vagelos College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., N.S., R.M., J.J.M., M.S.V.E.), and Taub Institute for Research on Alzheimer Disease and the Aging Brain (N.S., R.M., J.J.M.), Columbia University, New York, NY; Departments of Environmental and Occupational Health Sciences, Medicine, and Epidemiology (J.D.K.), University of Washington, Seattle; and Departments of Neurology, Public Health Sciences, and Human Genetics (R.L.S.), Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
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Wong A, Lou W, Ho KF, Yiu BKF, Lin S, Chu WCW, Abrigo J, Lee D, Lam BYK, Au LWC, Soo YOY, Lau AYL, Kwok TCY, Leung TWH, Lam LCW, Ho K, Mok VCT. Indoor incense burning impacts cognitive functions and brain functional connectivity in community older adults. Sci Rep 2020; 10:7090. [PMID: 32341386 PMCID: PMC7184605 DOI: 10.1038/s41598-020-63568-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 02/13/2020] [Indexed: 12/21/2022] Open
Abstract
To investigate (1) the effects of indoor incense burning upon cognition over 3 years; (2) the associations between indoor incense burning with the brain’s structure and functional connectivity of the default mode network (DMN); and (3) the interactions between indoor incense burning and vascular disease markers upon cognitive functions. Community older adults without stroke or dementia were recruited (n = 515). Indoor incense use was self-reported as having burnt incense at home ≥ weekly basis over the past 5 years. Detailed neuropsychological battery was administered at baseline (n = 227) and the Montreal Cognitive Assessment at baseline and year 3 (n = 515). MRI structural measures and functional connectivity of the DMN were recorded at baseline. Demographic and vascular risk factors and levels of outdoor pollutants were treated as covariates. Indoor incense burning was associated with reduced performance across multiple cognitive domains at baseline and year 3 as well as decreased connectivity in the DMN. It interacted with diabetes mellitus, hyperlipidemia and white matter hyperintensities to predict poorer cognitive performance. Indoor incense burning is (1) associated with poorer cognitive performance over 3 years; (2) related to decreased brain connectivity; and (3) it interacts with vascular disease to predispose poor cognitive performance.
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Affiliation(s)
- Adrian Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wutao Lou
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Kin-Fai Ho
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Brian Ka-Fung Yiu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shi Lin
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Winnie Chiu-Wing Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jill Abrigo
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Dustin Lee
- Stony Brook University School of Medicine, Stony Brook, New York, United States
| | - Bonnie Yin-Ka Lam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lisa Wing-Chi Au
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yannie Oi-Yan Soo
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Alexander Yuk-Lun Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Timothy Chi-Yui Kwok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Thomas Wai-Hong Leung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Linda Chui-Wa Lam
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ko Ho
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Chung-Tong Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China. .,Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong SAR, China. .,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong SAR, 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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Stroke to Dementia Associated with Environmental Risks-A Semi-Markov Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17061944. [PMID: 32188138 PMCID: PMC7143936 DOI: 10.3390/ijerph17061944] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/05/2020] [Accepted: 03/09/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Most stroke cases lead to serious mental and physical disabilities, such as dementia and sensory impairment. Chronic diseases are contributory risk factors for stroke. However, few studies considered the transition behaviors of stroke to dementia associated with chronic diseases and environmental risks. OBJECTIVE This study aims to develop a prognosis model to address the issue of stroke transitioning to dementia associated with environmental risks. DESIGN This cohort study used the data from the National Health Insurance Research Database in Taiwan. SETTING Healthcare data were obtained from more than 25 million enrollees and covered over 99% of Taiwan's entire population. PARTICIPANTS In this study, 10,627 stroke patients diagnosed from 2000 to 2010 in Taiwan were surveyed. METHODS A Cox regression model and corresponding semi-Markov process were constructed to evaluate the influence of risk factors on stroke, corresponding dementia, and their transition behaviors. MAIN OUTCOME MEASURE Relative risk and sojourn time were the main outcome measure. RESULTS Multivariate analysis showed that certain environmental risks, medication, and rehabilitation factors highly influenced the transition of stroke from a chronic disease to dementia. This study also highlighted the high-risk populations of stroke patients against the environmental risk factors; the males below 65 years old were the most sensitive population. CONCLUSION Experiments showed that the proposed semi-Markovian model outperformed other benchmark diagnosis algorithms (i.e., linear regression, decision tree, random forest, and support vector machine), with a high R2 of 90%. The proposed model also facilitated an accurate prognosis on the transition time of stroke from chronic diseases to dementias against environmental risks and rehabilitation factors.
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Rocha II, Narasimhalu K, De Silva DA. Impact of Air Pollution and Seasonal Haze on Neurological Conditions: A Review. ANNALS ACADEMY OF MEDICINE SINGAPORE 2020. [DOI: 10.47102/annals-acadmedsg.18087] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction: Air pollution is a global problem and seasonal haze from forest clearing
and peat land burning in Indonesia is an annual phenomenon in Southeast Asia. As
neurological disorders comprise 6.3% of the burden of disease globally, we reviewed
evidence of the association between common neurological conditions and air pollution
exposure, and summarised existing data on the impact of the haze phenomenon in
Southeast Asia. Materials and Methods: A PubMed search for relevant studies on air
pollution, Alzheimer’s disease (AD), dementia, epilepsy, haze, headache, migraine, stroke, Parkinson’s disease (PD) and neuromuscular conditions was performed. There were 52 articles which were relevant and were reviewed. Results: There were associations between short-term air pollution exposure with AD, epilepsy, ischaemic stroke and migraine. Long-term air pollution exposure was associated with AD, amyotrophic lateral sclerosis, dementia and ischaemic stroke. Evidence on the link between air pollution and PD was inconsistent. Currently, there is no specific data on the effects haze has on neurological conditions in Southeast Asia. Conclusion: Air pollution is associated with increased risk of certain common neurological disorders. More specific studies are needed to investigate the impact of seasonal haze on neurological conditions in Southeast Asia.
Key words: Alzheimer’s disease, Epilepsy, Migraine, Parkinson’s disease, Stroke
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Affiliation(s)
| | - Kaavya Narasimhalu
- National Neuroscience Institute (Singapore General Hospital campus), Singapore
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37
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Jhun I, Kim J, Cho B, Gold DR, Schwartz J, Coull BA, Zanobetti A, Rice MB, Mittleman MA, Garshick E, Vokonas P, Bind MA, Wilker EH, Dominici F, Suh H, Koutrakis P. Synthesis of Harvard Environmental Protection Agency (EPA) Center studies on traffic-related particulate pollution and cardiovascular outcomes in the Greater Boston Area. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2019; 69:900-917. [PMID: 30888266 PMCID: PMC6650311 DOI: 10.1080/10962247.2019.1596994] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 03/11/2019] [Indexed: 05/24/2023]
Abstract
The association between particulate pollution and cardiovascular morbidity and mortality is well established. While the cardiovascular effects of nationally regulated criteria pollutants (e.g., fine particulate matter [PM2.5] and nitrogen dioxide) have been well documented, there are fewer studies on particulate pollutants that are more specific for traffic, such as black carbon (BC) and particle number (PN). In this paper, we synthesized studies conducted in the Greater Boston Area on cardiovascular health effects of traffic exposure, specifically defined by BC or PN exposure or proximity to major roadways. Large cohort studies demonstrate that exposure to traffic-related particles adversely affect cardiac autonomic function, increase systemic cytokine-mediated inflammation and pro-thrombotic activity, and elevate the risk of hypertension and ischemic stroke. Key patterns emerged when directly comparing studies with overlapping exposure metrics and population cohorts. Most notably, cardiovascular risk estimates of PN and BC exposures were larger in magnitude or more often statistically significant compared to those of PM2.5 exposures. Across multiple exposure metrics (e.g., short-term vs. long-term; observed vs. modeled) and different population cohorts (e.g., elderly, individuals with co-morbidities, young healthy individuals), there is compelling evidence that BC and PN represent traffic-related particles that are especially harmful to cardiovascular health. Further research is needed to validate these findings in other geographic locations, characterize exposure errors associated with using monitored and modeled traffic pollutant levels, and elucidate pathophysiological mechanisms underlying the cardiovascular effects of traffic-related particulate pollutants. Implications: Traffic emissions are an important source of particles harmful to cardiovascular health. Traffic-related particles, specifically BC and PN, adversely affect cardiac autonomic function, increase systemic inflammation and thrombotic activity, elevate BP, and increase the risk of ischemic stroke. There is evidence that BC and PN are associated with greater cardiovascular risk compared to PM2.5. Further research is needed to elucidate other health effects of traffic-related particles and assess the feasibility of regulating BC and PN or their regional and local sources.
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Affiliation(s)
- Iny Jhun
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jina Kim
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | | | - Diane R. Gold
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Harvard Medical School, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Brent A. Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Mary B. Rice
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Murray A. Mittleman
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center, Boston, MA
| | - Eric Garshick
- Harvard Medical School, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA
- Pulmonary, Allergy, Sleep and Critical Care Medicine, Veterans Affairs Boston Healthcare System, Boston, MA
| | - Pantel Vokonas
- Veterans Affairs Normative Aging Study, Veterans Affairs Boston Healthcare System, Boston, MA
- Department of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA
| | - Marie-Abele Bind
- Faculty of Arts and Sciences, Science Center, Harvard University, Cambridge, MA
| | - Elissa H. Wilker
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center, Boston, MA
- Sanofi Genzyme, Cambridge, MA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Helen Suh
- Tufts University, Department of Civil and Environmental Engineering, Medford, MA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
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38
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Katoto PDMC, Byamungu L, Brand AS, Mokaya J, Strijdom H, Goswami N, De Boever P, Nawrot TS, Nemery B. Ambient air pollution and health in Sub-Saharan Africa: Current evidence, perspectives and a call to action. ENVIRONMENTAL RESEARCH 2019; 173:174-188. [PMID: 30913485 DOI: 10.1016/j.envres.2019.03.029] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 03/04/2019] [Accepted: 03/11/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND People from low- and middle-income countries are disproportionately affected by the global burden of adverse health effects caused by ambient air pollution (AAP). However, data from Sub-Saharan Africa (SSA) are still scarce. We systematically reviewed the literature to describe the existing knowledge on AAP and health outcomes in SSA. METHODS We searched PubMed, Medline-OVID, EMBASE and Scopus databases to identify studies of AAP and health outcomes published up to November 15, 2017. We used a systematic review approach to critically analyze and summarize levels of outdoor air pollutants, and data on health effects associated with AAP. We excluded occupational and indoor exposure studies. RESULTS We identified 60 articles, with 37 only describing levels of AAP and 23 assessing the association between air pollution and health outcomes. Most studies (75%) addressing the relation between AAP and disease were cross-sectional. In general, exposure data were only obtained for selected cities in the framework of temporary international collaborative research initiatives without structural long-term continuation. Measurements of AAP revealed 10-20 fold higher levels than WHO standards. Of the 23 studies reporting health effects, 14 originated from South Africa, and most countries within SSA contributed no data at all. No studies, except from South Africa, were based on reliable morbidity or mortality statistics at regional or country level. The majority of studies investigated self-reported respiratory symptoms. Children and the elderly were found to be more susceptible to AAP. CONCLUSION AAP and its negative health effects have been understudied in SSA compared with other continents. The limited direct measurements of air pollutants indicate that AAP in SAA cities is high compared with international standards. Efforts are needed to monitor AAP in African cities, to identify its main sources, and to reduce adverse health effects by enforcing legislation.
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Affiliation(s)
- Patrick D M C Katoto
- Centre for Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium; Department of Internal Medicine, Faculty of Medicine, and Expertise Centre on Mining Governance (CEGEMI), Catholic University of Bukavu, Bukavu, Congo.
| | - Liliane Byamungu
- Department of Pediatric, Faculty of Medicine and Health Sciences, University of KwaZulu Natal, Durban, South Africa.
| | - Amanda S Brand
- Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - Jolynne Mokaya
- Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Kenya Medical Research Institute, Nairobi, Kenya.
| | - Hans Strijdom
- Division of Medical Physiology, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - Nandu Goswami
- Department of Physiology and Otto Loewi Research Centre, Medical University of Graz, Austria.
| | - Patrick De Boever
- Environmental Risk and Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium; Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium.
| | - Tim S Nawrot
- Centre for Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium; Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium.
| | - Benoit Nemery
- Centre for Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
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Graber M, Mohr S, Baptiste L, Duloquin G, Blanc-Labarre C, Mariet AS, Giroud M, Béjot Y. Air pollution and stroke. A new modifiable risk factor is in the air. Rev Neurol (Paris) 2019; 175:619-624. [PMID: 31153597 DOI: 10.1016/j.neurol.2019.03.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 03/18/2019] [Accepted: 03/19/2019] [Indexed: 12/19/2022]
Abstract
Evidence from epidemiological studies has demonstrated that outdoor air pollution is now a well-known major problem of public health, mainly in low and middle income countries. Contrasting with myocardial infarction, there are few data on the association of air pollution and stroke. METHODS We propose a narrative literature review of the effects and the underlying biological mechanisms of short- and long-term exposure to air pollutants on stroke risk and mortality, using the following key-words: stroke, cerebrovascular events, ischemic and haemorrhage stroke, transient ischaemic attack, mortality, air pollution and air pollutants. RESULTS Twenty-one papers were selected. Air pollution, of which whose small particulate matter are the most toxic, contributes to about one-third of the global burden of stroke. We can identify vulnerable patients with classical neuro-vascular risk factors or a prior history of stroke or transient ischemic attack or persons living in low-income countries. Biological mechanisms of this new morbid association are discussed. CONCLUSION Air pollution should be recognized as a silent killer inducing stroke whose mortality rates remain elevated by its role as a new modifiable neurovascular risk factor, needing public health policies.
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Affiliation(s)
- M Graber
- Dijon Stroke Registry (Inserm, Santé Publique France), EA7460, university hospital of Dijon, university of Burgundy and Franche-Comté, Dijon, France
| | - S Mohr
- Dijon Stroke Registry (Inserm, Santé Publique France), EA7460, university hospital of Dijon, university of Burgundy and Franche-Comté, Dijon, France
| | - L Baptiste
- Dijon Stroke Registry (Inserm, Santé Publique France), EA7460, university hospital of Dijon, university of Burgundy and Franche-Comté, Dijon, France
| | - G Duloquin
- Dijon Stroke Registry (Inserm, Santé Publique France), EA7460, university hospital of Dijon, university of Burgundy and Franche-Comté, Dijon, France
| | - C Blanc-Labarre
- Dijon Stroke Registry (Inserm, Santé Publique France), EA7460, university hospital of Dijon, university of Burgundy and Franche-Comté, Dijon, France
| | - A S Mariet
- Clinical investigation center of Dijon (Inserm CIC 1432), university of Burgundy and Franche Comté, Inserm, biostatistique, biomathématique, pharmacoepidemiologie et maladies infectieuses (B2 PHI), UMR 1181, university Hospital of Dijon, Dijon, France
| | - M Giroud
- Dijon Stroke Registry (Inserm, Santé Publique France), EA7460, university hospital of Dijon, university of Burgundy and Franche-Comté, Dijon, France.
| | - Y Béjot
- Dijon Stroke Registry (Inserm, Santé Publique France), EA7460, university hospital of Dijon, university of Burgundy and Franche-Comté, Dijon, France
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40
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Abstract
The conference "Climate change, air pollution and health" was held at the Pontifical Academy of Sciences. The data presented highlighted that air pollution is a major, under-recognized and modifiable risk factor for stroke and heart disease. Air pollution causes 7.6% of all deaths making it the fifth cause of death globally, and this figure is expected to increase by 50% by 2050. Particulate matter causes endothelial dysfunction and induces thrombosis by altering reactive oxygen species, nitric oxide, insulin resistance, and lipid levels. Thirty-three articles published since 2002 were reviewed to assess the relation between air pollution and stroke with age, geographical location, particulate and gaseous matter type, duration of exposure, previous stroke, and comorbidities. It remains to be defined if air pollution has pathophysiological effects that preferentially predispose individuals to ischemic or hemorrhagic stroke. There is ample evidence showing an association between acute and chronic exposure to PM2.5 or gaseous pollutants with stroke. This potentially avoidable scenario and its dramatic consequences are heavily under-recognized by health professionals and the wider public. Preventive measures in people at high vascular risk are warranted. Procrastination in implementing efforts to stop the current worldwide course of worsening air pollution is the seed of a potential global health catastrophe.
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Affiliation(s)
- Conrado J Estol
- Stroke Unit, Sanatorio Guemes, Francisco Acuña de Figueroa 1240, C1180, CABA, Argentina
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41
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Extended Risk Factors for Stroke Prevention. J Natl Med Assoc 2019; 111:447-456. [PMID: 30878142 DOI: 10.1016/j.jnma.2019.02.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 01/29/2019] [Accepted: 02/20/2019] [Indexed: 02/01/2023]
Abstract
Stroke causes disability and high mortality, while it can be prevented by increasing public awareness of risk factors. The common known risk factors are hypertension, atrial fibrillation, heart failure, smoking, alcohol consumption, low physical activity, overweight and hypercholesterolemia. However, the deep understanding of risk factors is limited. Moreover, more risk factor emerges in recent years. To further increase the awareness of risk factors for stroke prevention, this review indicates the reasonable application of antihypertensive agents according to the age-dependent changes of hypertension, and some new risk factors including chronic kidney disease, obstructive sleep apnea, migraine with aura, working environment, genetic factors and air pollution. Therefore, internal risk factors (e.g. heredity, hypertension, hyperglycemia) and external risk factors (e.g. working environment, air pollution) are both important for stroke prevention. All of these are reviewed to provide more information for the pre-hospital prevention and management, and the future clinical studies.
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42
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Fisher JA, Puett RC, Laden F, Wellenius GA, Sapkota A, Liao D, Yanosky JD, Carter-Pokras O, He X, Hart JE. Case-crossover analysis of short-term particulate matter exposures and stroke in the health professionals follow-up study. ENVIRONMENT INTERNATIONAL 2019; 124:153-160. [PMID: 30641259 PMCID: PMC6692897 DOI: 10.1016/j.envint.2018.12.044] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 12/16/2018] [Accepted: 12/19/2018] [Indexed: 05/20/2023]
Abstract
BACKGROUND Stroke is a leading cause of morbidity and mortality in the United States. Associations between short-term exposures to particulate matter (PM) air pollution and stroke are inconsistent. Many prior studies have used administrative and hospitalization databases where misclassification of the type and timing of the stroke event may be problematic. METHODS In this case-crossover study, we used a nationwide kriging model to examine short-term ambient exposure to PM10 and PM2.5 and risk of ischemic and hemorrhagic stroke among men enrolled in the Health Professionals Follow-up Study. Conditional logistic regression models were used to obtain estimates of odds ratios (OR) and 95% confidence intervals (CI) associated with an interquartile range (IQR) increase in PM2.5 or PM10. Lag periods up to 3 days prior to the stroke event were considered in addition to a 4-day average. Stratified models were used to examine effect modification by patient characteristics. RESULTS Of the 727 strokes that occurred between 1999 and 2010, 539 were ischemic and 122 were hemorrhagic. We observed positive statistically significant associations between PM10 and ischemic stroke (ORlag0-3 = 1.26; 95% CI: 1.03-1.55 per IQR increase [14.46 μg/m3]), and associations were elevated for nonsmokers, aspirin nonusers, and those without a history of high cholesterol. However, we observed no evidence of a positive association between short-term exposure to PM and hemorrhagic stroke or between PM2.5 and ischemic stroke in this cohort. CONCLUSIONS Our study provides evidence that ambient PM10 may be associated with higher risk of ischemic stroke and highlights that ischemic and hemorrhagic strokes are heterogeneous outcomes that should be treated as such in analyses related to air pollution.
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Affiliation(s)
- Jared A Fisher
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA.
| | - Robin C Puett
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Amir Sapkota
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Duanping Liao
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jeff D Yanosky
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Olivia Carter-Pokras
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA
| | - Xin He
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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43
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Xue T, Guan T, Liu Y, Zheng Y, Guo J, Fan S, Zhang Q. A national case-crossover study on ambient ozone pollution and first-ever stroke among Chinese adults: Interpreting a weak association via differential susceptibility. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 654:135-143. [PMID: 30439690 DOI: 10.1016/j.scitotenv.2018.11.067] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 11/03/2018] [Accepted: 11/05/2018] [Indexed: 05/27/2023]
Abstract
Evidence suggesting an association between ozone exposure and stroke risk remains inconsistent; variations in the distributions of susceptibilities of the study populations may explain some of it. We examined the hypothesis in a general Chinese population. During 2013-2015, 1356 first-ever stroke events were selected from a large representative sample, the China National Stroke Screening Survey (CNSSS) database; daily maximal 8-hour ozone concentrations were obtained from spatiotemporally interpolated estimates of in-situ observations over China. We conducted a time-stratified case-crossover design to assess associations between stroke risk and ambient ozone exposure. Next, potential effect modifiers were identified using interaction analyses. Final, a well-established approach was applied to estimate individual-level susceptibility (i.e., the individual-specific effect given a certain combination of multiple effect-modifiers) and its probability distribution among all the CNSSS participants (n = 1,292,010). With adjustments for temperature, relative humidity and ambient fine particulate matter exposure, a 10-μg/m3 increment in mean ozone levels 2-3 day prior to symptom onset was associated with a 3.0% change in stroke risk (95% confidence interval: -1.2%, 7.3%). This association was statistically significantly enhanced by male gender, rural residence and low vegetable and fruit consumption. The subgroup results suggested that a fraction of the population might be considerably affected by ozone, regardless of the insignificant association in average level. The analysis of susceptibility distribution further indicated that the ozone-stroke association was statistically significantly positive in 14% of the general population. Susceptibility to ozone-related stroke significantly varied among Chinese adults. Characterizing individual-level susceptibility reveals the complexity underlying the weak average effect of ozone, and supports to plan subpopulation-specific interventions to mitigate the stroke risk.
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Affiliation(s)
- Tao Xue
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Tianjia Guan
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Yuanli Liu
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yixuan Zheng
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Jian Guo
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siyuan Fan
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Qiang Zhang
- Department of Earth System Science, Tsinghua University, Beijing, China
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44
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Andersen ZJ, Pedersen M, Weinmayr G, Stafoggia M, Galassi C, Jørgensen JT, Sommar JN, Forsberg B, Olsson D, Oftedal B, Aasvang GM, Schwarze P, Pyko A, Pershagen G, Korek M, Faire UD, Östenson CG, Fratiglioni L, Eriksen KT, Poulsen AH, Tjønneland A, Bräuner EV, Peeters PH, Bueno-de-Mesquita B, Jaensch A, Nagel G, Lang A, Wang M, Tsai MY, Grioni S, Marcon A, Krogh V, Ricceri F, Sacerdote C, Migliore E, Vermeulen R, Sokhi R, Keuken M, de Hoogh K, Beelen R, Vineis P, Cesaroni G, Brunekreef B, Hoek G, Raaschou-Nielsen O. Long-term exposure to ambient air pollution and incidence of brain tumor: the European Study of Cohorts for Air Pollution Effects (ESCAPE). Neuro Oncol 2019; 20:420-432. [PMID: 29016987 PMCID: PMC5817954 DOI: 10.1093/neuonc/nox163] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Background Epidemiological evidence on the association between ambient air pollution and brain tumor risk is sparse and inconsistent. Methods In 12 cohorts from 6 European countries, individual estimates of annual mean air pollution levels at the baseline residence were estimated by standardized land-use regression models developed within the ESCAPE and TRANSPHORM projects: particulate matter (PM) ≤2.5, ≤10, and 2.5–10 μm in diameter (PM2.5, PM10, and PMcoarse), PM2.5 absorbance, nitrogen oxides (NO2 and NOx) and elemental composition of PM. We estimated cohort-specific associations of air pollutant concentrations and traffic intensity with total, malignant, and nonmalignant brain tumor, in separate Cox regression models, adjusting for risk factors, and pooled cohort-specific estimates using random-effects meta-analyses. Results Of 282194 subjects from 12 cohorts, 466 developed malignant brain tumors during 12 years of follow-up. Six of the cohorts also had data on nonmalignant brain tumor, where among 106786 subjects, 366 developed brain tumor: 176 nonmalignant and 190 malignant. We found a positive, statistically nonsignificant association between malignant brain tumor and PM2.5 absorbance (hazard ratio and 95% CI: 1.67; 0.89–3.14 per 10–5/m3), and weak positive or null associations with the other pollutants. Hazard ratio for PM2.5 absorbance (1.01; 0.38–2.71 per 10–5/m3) and all other pollutants were lower for nonmalignant than for malignant brain tumors. Conclusion We found suggestive evidence of an association between long-term exposure to PM2.5 absorbance indicating traffic-related air pollution and malignant brain tumors, and no association with overall or nonmalignant brain tumors.
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Affiliation(s)
- Zorana J Andersen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Pedersen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RM1, Rome, Italy.,Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Claudia Galassi
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Jeanette T Jørgensen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Johan N Sommar
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Bertil Forsberg
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - David Olsson
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | | | - Per Schwarze
- Norwegian Institute of Public Health, Oslo, Norway
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Michal Korek
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.,Netherlands Organization for Applied Scientific Research, Utrecht, Netherlands
| | - Ulf De Faire
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Claes-Göran Östenson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology Care Science and Society, Karolinska Institute, Stockholm, Sweden
| | - Kirsten T Eriksen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Aslak H Poulsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elvira Vaclavik Bräuner
- Department of Occupational and Environmental Medicine, Bispebjerg-Frederiksberg Hospital, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Biomarkers and Clinical Resreach in Eating Disorders, Ballerup Center for Mental Health Services, Capitol Region of Denmark, Rigshospitalt- Ballerup, Denmark
| | - Petra H Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Bas Bueno-de-Mesquita
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, Bilthoven, Netherlands.,Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Andrea Jaensch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.,Vorarlberg Cancer Registry, Bregenz, Austria
| | - Alois Lang
- Vorarlberg Cancer Registry, Bregenz, Austria
| | - Meng Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ming-Yi Tsai
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.,Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
| | - Sara Grioni
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Marcon
- Unit of Epidemiology & Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Fulvio Ricceri
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy.,Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Enrica Migliore
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ranjeet Sokhi
- Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, College Lane, Hatfield, UK
| | - Menno Keuken
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.,Netherlands Organization for Applied Scientific Research, Utrecht, Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.,National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Molecular end Epidemiology Unit, HuGeF, Human Genetics Foundation, Torino, Italy
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RM1, Rome, Italy
| | - Bert Brunekreef
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ole Raaschou-Nielsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Roskilde, Denmark
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45
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Ghio AJ, Soukup JM, Madden MC. The toxicology of air pollution predicts its epidemiology. Inhal Toxicol 2018; 30:327-334. [PMID: 30516398 DOI: 10.1080/08958378.2018.1530316] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The epidemiologic investigation has successively delineated associations of air pollution exposure with non-malignant and malignant lung disease, cardiovascular disease, cerebrovascular disease, pregnancy outcomes, perinatal effects and other extra-pulmonary disease including diabetes. Defining these relationships between air pollution exposure and human health closely parallels results of an earlier epidemiologic investigation into cigarette smoking and environmental tobacco smoke (ETS), two other particle-related exposures. Humic-like substances (HULIS) have been identified as a chemical component common to cigarette smoke and air pollution particles. Toxicology studies provide evidence that a disruption of iron homeostasis with sequestration of host metal by HULIS is a fundamental mechanistic pathway through which biological effects are initiated by cigarette smoke and air pollution particles. As a result of a common chemical component and a shared mechanistic pathway, it should be possible to extrapolate from the epidemiology of cigarette smoking and ETS to predict associations of air pollution exposure with human disease, which are currently unrecognized. Accordingly, it is anticipated that the forthcoming epidemiologic investigation will demonstrate relationships of air pollution with COPD causation, peripheral vascular disease, hypertension, renal disease, digestive disease, loss of bone mass/risk of fractures, dental disease, eye disease, fertility problems, and extrapulmonary malignancies.
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Affiliation(s)
- Andrew J Ghio
- a The National Health and Environmental Effects Research Laboratory , Environmental Protection Agency , Chapel Hill , NC , USA
| | - Joleen M Soukup
- a The National Health and Environmental Effects Research Laboratory , Environmental Protection Agency , Chapel Hill , NC , USA
| | - Michael C Madden
- a The National Health and Environmental Effects Research Laboratory , Environmental Protection Agency , Chapel Hill , NC , USA
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46
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Scheers H, Nawrot TS, Nemery B, Casas L. Changing places to study short-term effects of air pollution on cardiovascular health: a panel study. Environ Health 2018; 17:80. [PMID: 30453974 PMCID: PMC6245927 DOI: 10.1186/s12940-018-0425-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 11/09/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Short-term exposure to ambient air pollution triggers acute cardiovascular events. Here, we evaluate the association of exposure to ambient air pollution with two intermediate cardiovascular endpoints: blood pressure and carotid stiffness. METHODS In a one-year panel study, we included 20 healthy volunteers (10 male-female couples aged 59-75 years) with air pollution and health parameters measured every two months at their region of residence (Leuven, Belgium) and twice during two ten-day periods in two locations, one with higher (Milan, Italy) and one with lower (Vindeln, Sweden) air pollution levels (220 observations). We measured blood pressure, carotid arterial stiffness, personal exposure to NO2, and ambient concentrations of PM10, PM2.5, and NO2. We used linear mixed models to evaluate the associations between the health outcomes and the air pollutants. RESULTS Compared with Leuven, exposure to pollutants was higher in Milan and lower in Vindeln, with the highest contrast for NO2 (median 20.7 μg/m3 (IQR:7.4) vs 65.1 μg/m3 (9.0) and 4.5 mg/m3 (0.8), respectively). We did not observe significant associations between either systolic or diastolic blood pressure and variations in air pollution. However, we found significant associations between arterial stiffness and 5 day average exposure to the studied pollutants. The strongest associations were observed for PM10 with carotid distensibility (DC) and compliance (CC) coefficients, and the young elastic modulus (YEM): 4.3% (95%CI:7.0;1.5) increase in DC, 4.7% (95%CI:7.1;2.3) increase in CC and 4.2% (95%CI:1.1;7.3) decrease in YEM for each 10 μg/m3 decreases in PM10. CONCLUSIONS Our study suggests that short-term exposure to air pollution results in reductions in carotid elasticity among elderly population.
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Affiliation(s)
- Hans Scheers
- Environment and Health Unit, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, O&N I, PB 706, 3000 Leuven, Belgium
| | - Tim S. Nawrot
- Environment and Health Unit, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, O&N I, PB 706, 3000 Leuven, Belgium
- Centre for Environmental Sciences, UHasselt, Diepenbeek, Belgium
| | - Benoit Nemery
- Environment and Health Unit, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, O&N I, PB 706, 3000 Leuven, Belgium
| | - Lidia Casas
- Environment and Health Unit, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, O&N I, PB 706, 3000 Leuven, Belgium
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47
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Wilker EH, Mostofsky E, Fossa A, Koutrakis P, Warren A, Charidimou A, Mittleman MA, Viswanathan A. Ambient Pollutants and Spontaneous Intracerebral Hemorrhage in Greater Boston. Stroke 2018; 49:2764-2766. [PMID: 30580707 DOI: 10.1161/strokeaha.118.023128] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background and Purpose- Associations between exposures to ambient air pollution and spontaneous intracerebral hemorrhage (ICH) have been inconsistent, and data on stroke subtypes are currently limited. Methods- We obtained information on all cases of deep or lobar hematomas from ICH patients who were admitted to the Massachusetts General Hospital in Boston, MA, between 2006 and 2011. We linked the date of admission with 1- to 7-day moving averages of fine particulate matter (PM2.5), black carbon, nitrogen dioxide, and ozone from area monitors. We conducted time-stratified bidirectional case-crossover analyses to assess associations between pollutants and stroke. We also investigated whether associations differed by hemorrhage location and type. Results- There were 577 cases of ICH (295 deep, 282 lobar). Overall, there was no evidence of elevated ICH risk after increases in PM2.5, black carbon, or nitrogen dioxide in the whole population. However, there was suggestion of heightened risk with higher levels of ozone for averages longer than 1 day although CIs were wide. In models stratified by ICH location, associations with ozone remained positive for patients with lobar (3-day moving average odds ratio, 1.62; 95% CI, 1.18-2.22) but not deep ICH (odds ratio, 0.88; 95% CI, 0.65-1.20). Larger estimates were observed among participants with a probable diagnosis of cerebral amyloid angiopathy (odds ratio, 2.23; 95% CI, 1.25-3.96). Conclusions- Exposure to ozone may be associated with incidence of lobar ICH, especially among those who have confirmed or probable cerebral amyloid angiopathy.
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Affiliation(s)
- Elissa H Wilker
- From the Department of Epidemiology (E.H.W., E.M., M.A.M.), Harvard T.H. Chan School of Public Health, Boston, MA
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.H.W., E.M., M.A.M.)
- Sanofi Genzyme, Cambridge, MA (E.H.W.)
| | - Elizabeth Mostofsky
- From the Department of Epidemiology (E.H.W., E.M., M.A.M.), Harvard T.H. Chan School of Public Health, Boston, MA
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.H.W., E.M., M.A.M.)
| | - Alan Fossa
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (A.F.)
| | - Petros Koutrakis
- Department of Environmental Health (P.K.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Andrew Warren
- Department of Neurology, Massachusetts General Hospital, Boston, MA (A.W., A.C., A.V.)
| | - Andreas Charidimou
- Department of Neurology, Massachusetts General Hospital, Boston, MA (A.W., A.C., A.V.)
| | - Murray A Mittleman
- From the Department of Epidemiology (E.H.W., E.M., M.A.M.), Harvard T.H. Chan School of Public Health, Boston, MA
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.H.W., E.M., M.A.M.)
| | - Anand Viswanathan
- Department of Neurology, Massachusetts General Hospital, Boston, MA (A.W., A.C., A.V.)
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48
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Ho AFW, Zheng H, De Silva DA, Wah W, Earnest A, Pang YH, Xie Z, Pek PP, Liu N, Ng YY, Wong TH, Foo LL, Ong MEH. The Relationship Between Ambient Air Pollution and Acute Ischemic Stroke: A Time-Stratified Case-Crossover Study in a City-State With Seasonal Exposure to the Southeast Asian Haze Problem. Ann Emerg Med 2018; 72:591-601. [PMID: 30172448 DOI: 10.1016/j.annemergmed.2018.06.037] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 06/02/2018] [Accepted: 06/22/2018] [Indexed: 11/17/2022]
Abstract
STUDY OBJECTIVE Studies are divided on the short-term association of air pollution with stroke. Singapore is exposed to seasonal transboundary haze. We aim to investigate the association between air pollution and stroke incidence in Singapore. METHODS We performed a time-stratified case-crossover analysis on all ischemic stroke cases reported to the Singapore Stroke Registry from 2010 to 2015. Exposure on days was compared with control days on which exposure did not occur. Control days were chosen on the same day of the week earlier and later in the same month in the same year. We fitted a conditional Poisson regression model to daily stroke incidence that included Pollutant Standards Index and environmental confounders. The index was categorized according to established classification (0 to 50=good, 51 to 100=moderate, and ≥101=unhealthy). We assessed the relationship between stroke incidence and Pollutant Standards Index in the entire cohort and in predetermined subgroups of individual-level characteristics. RESULTS There were 29,384 ischemic stroke cases. Moderate and unhealthy Pollutant Standards Index levels showed association with stroke occurrence, with incidence risk ratio 1.10 (95% confidence interval 1.06 to 1.13) and 1.14 (95% confidence interval 1.03 to 1.25), respectively. Subgroup analyses showed generally significant association, except in Indians and nonhypertensive patients. The association was significant in subgroups aged 65 years or older, women, Chinese, nonsmokers and those with history of diabetes, hypertension, and hyperlipidemia. Stratified by age and smoking, the risk diminished in smokers of all ages. Risk remained elevated for 5 days after exposure. CONCLUSION We found a short-term elevated risk of ischemic stroke after exposure to air pollution. These findings have public health implications for stroke prevention and emergency health services delivery.
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Affiliation(s)
- Andrew F W Ho
- SingHealth Emergency Medicine Residency Programme, Singapore Health Services, Singapore; Emergency Medicine Academic Clinical Programme, Singhealth Duke-NUS, Singapore; Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore.
| | - Huili Zheng
- National Registry of Diseases Office, Health Promotion Board, Singapore
| | - Deidre A De Silva
- National Neuroscience Institute, Singapore; Duke-NUS Medical School, Singapore
| | - Win Wah
- Unit for Prehospital Emergency Care, Singapore General Hospital, Singapore
| | - Arul Earnest
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Yee H Pang
- National Neuroscience Institute, Singapore
| | - Zhenjia Xie
- School of Computing, National University of Singapore, Singapore
| | - Pin P Pek
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Emergency Medicine, Singapore General Hospital, Singapore
| | - Nan Liu
- Health Services Research Centre, Singapore Health Services, Singapore; Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Yih Y Ng
- Medical Department, Singapore Civil Defense Force, Singapore, Singapore; Department of Emergency Medicine, Tan Tock Seng Hospital, Singapore
| | - Ting H Wong
- Department of General Surgery, Singapore General Hospital, Singapore
| | - Ling L Foo
- National Registry of Diseases Office, Health Promotion Board, Singapore
| | - Marcus E H Ong
- Health Services and Systems Research, Duke-NUS Medical School, Singapore; Department of Emergency Medicine, Singapore General Hospital, Singapore
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49
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Gutiérrez-Avila I, Rojas-Bracho L, Riojas-Rodríguez H, Kloog I, Just AC, Rothenberg SJ. Cardiovascular and Cerebrovascular Mortality Associated With Acute Exposure to PM 2.5 in Mexico City. Stroke 2018; 49:1734-1736. [PMID: 29895537 DOI: 10.1161/strokeaha.118.021034] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 02/14/2018] [Accepted: 05/14/2018] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Acute exposure to particulate matter with aerodynamic diameter <2.5 μm (PM2.5) is associated with acute cardiovascular and cerebrovascular mortality. The aim of this study was to evaluate these associations with specific causes of cardiovascular and cerebrovascular mortality in Mexico City. METHODS We obtained daily mortality records for Mexico City from 2004 to 2013 for cardiovascular and cerebrovascular causes in people ≥25 and ≥65 years old. Exposure to PM2.5 was assessed with daily estimates from a new hybrid spatiotemporal model using satellite measurements of aerosol optical depth PM2.5 and compared to ground level PM2.5 measurements with missing data estimated with generalized additive models PM2.5. We fitted Poisson regression models with distributed lags for all mortality outcomes. RESULTS An increase of 10 µg/m3 in aerosol optical depth PM2.5 was associated with increased cardiovascular (1.22%; 95% confidence interval, 0.17-2.28) and cerebrovascular mortality (3.43%; 95% confidence interval, 0.10-6.28) for lag days 0 to 1 (lag 0-1). Stronger effects were identified for hemorrhagic stroke and people ≥65 years. Associations were slightly smaller using generalized additive models PM2.5. CONCLUSIONS These results support the evidence that acute exposure to PM2.5 is associated with increased risk of specific cardiovascular and cerebrovascular mortality causes.
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Affiliation(s)
- Iván Gutiérrez-Avila
- From the Department of Environmental Health, Instituto Nacional de Salud Pública, Cuernavaca, Mexico (I.G.-A., H.R.-R., S.J.R.)
| | | | - Horacio Riojas-Rodríguez
- From the Department of Environmental Health, Instituto Nacional de Salud Pública, Cuernavaca, Mexico (I.G.-A., H.R.-R., S.J.R.)
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel (I.K.)
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY (A.C.J.)
| | - Stephen J Rothenberg
- From the Department of Environmental Health, Instituto Nacional de Salud Pública, Cuernavaca, Mexico (I.G.-A., H.R.-R., S.J.R.)
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50
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Alderete TL, Chen Z, Toledo-Corral CM, Contreras ZA, Kim JS, Habre R, Chatzi L, Bastain T, Breton CV, Gilliland FD. Ambient and Traffic-Related Air Pollution Exposures as Novel Risk Factors for Metabolic Dysfunction and Type 2 Diabetes. CURR EPIDEMIOL REP 2018; 5:79-91. [PMID: 30319933 PMCID: PMC6178230 DOI: 10.1007/s40471-018-0140-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW Diabetes mellitus is a top contributor to the global burden of mortality and disability in adults. There has also been a slow, but steady rise in prediabetes and type 2 diabetes in youth. The current review summarizes recent findings regarding the impact of increased exposure to air pollutants on the type 2 diabetes epidemic. RECENT FINDINGS Human and animal studies provide strong evidence that exposure to ambient and traffic-related air pollutants such as particulate matter (PM), nitrogen dioxide (NO2), and nitrogen oxides (NOx) play an important role in metabolic dysfunction and type 2 diabetes etiology. This work is supported by recent findings that have observed similar effect sizes for increased exposure to air pollutants on clinical measures of risk for type 2 diabetes in children and adults. Further, studies indicate that these effects may be more pronounced among individuals with existing risk factors, including obesity and prediabetes. SUMMARY Current epidemiological evidence suggests that increased air pollution exposure contributes to alterations in insulin signaling, glucose metabolism, and beta (β)-cell function. Future work is needed to identify the specific detrimental pollutants that alter glucose metabolism. Additionally, advanced tools and new areas of investigation present unique opportunities to study the underlying mechanisms, including intermediate pathways, that link increased air pollution exposure with type 2 diabetes onset.
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Affiliation(s)
- Tanya L. Alderete
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Zhanghua Chen
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Claudia M. Toledo-Corral
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
- California State University, Los Angeles, Department of Public Health, Los Angeles California, USA
| | - Zuelma A. Contreras
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Jeniffer S. Kim
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Rima Habre
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Leda Chatzi
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Theresa Bastain
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Carrie V. Breton
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Frank D. Gilliland
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
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