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Lee EY, Park S, Kim YB, Lee M, Lim H, Ross-White A, Janssen I, Spence JC, Tremblay MS. Exploring the Interplay Between Climate Change, 24-Hour Movement Behavior, and Health: A Systematic Review. J Phys Act Health 2024:1-19. [PMID: 39187251 DOI: 10.1123/jpah.2023-0637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 07/03/2024] [Accepted: 07/03/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND Given the emergence of climate change and health risks, this review examined potential relationships between varying indicators of climate change, movement behaviors (ie, physical activity [PA], sedentary behavior, and sleep), and health. METHODS Seven databases were searched in March 2020, April 2023, and April 2024. To be included, studies must have examined indicators of climate change and at least one of the movement behaviors as either an exposure or a third variable (ie, mediator/moderator), and a measure of health as outcome. Evidence was summarized by the role (mediator/moderator) that either climate change or movement behavior(s) has with health measures. Relationships and directionality of each association, as well as the strength and certainty of evidence were synthesized. RESULTS A total of 79 studies were eligible, representing 6,671,791 participants and 3137 counties from 25 countries (40% low- and middle-income countries). Of 98 observations from 17 studies that examined PA as a mediator, 34.7% indicated that PA mediated the relationship between climate change and health measure such that indicators of adverse climate change were associated with lower PA, and worse health outcome. Of 274 observations made from 46 studies, 28% showed that PA favorably modified the negative association between climate change and health outcome. Evidence was largely lacking and inconclusive for sedentary behavior and sleep, as well as climate change indicators as an intermediatory variable. CONCLUSIONS PA may mitigate the adverse impact of climate change on health. Further evidence is needed to integrate PA into climate change mitigation, adaptation, and resilience strategies.
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Affiliation(s)
- Eun-Young Lee
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
- Department of Gender Studies, Queen's University, Kingston, ON, Canada
- Children's Hospital of Eastern Ontario Research Institute, Ottawa,ON, Canada
- Institute of Sport Science, Seoul National University, Seoul, South Korea
| | - Seiyeong Park
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
- Institute of Sport Science, Seoul National University, Seoul, South Korea
| | - Yeong-Bae Kim
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Mikyung Lee
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Heejun Lim
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Amanda Ross-White
- Bracken Health Sciences Library, Queen's University, Kingston, ON, Canada
| | - Ian Janssen
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
- Department of Health Sciences, Queen's University, Kingston, ON, Canada
| | - John C Spence
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Mark S Tremblay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa,ON, Canada
- Department of Pediatrics, University of Ottawa, Ottawa, ON, Canada
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Zheng XY, Guo SJ, Hu JX, Meng RL, Xu YJ, Lv YH, Wang Y, Xiao N, Li C, Xu XJ, Zhao DJ, Zhou HY, He JH, Tan XM, Wei J, Lin LF, Guan WJ. Long-term associations of PM 1 versus PM 2.5 and PM 10 with asthma and asthma-related respiratory symptoms in the middle-aged and elderly population. ERJ Open Res 2024; 10:00972-2023. [PMID: 38957167 PMCID: PMC11215765 DOI: 10.1183/23120541.00972-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/25/2024] [Indexed: 07/04/2024] Open
Abstract
Background Few studies have compared the associations between long-term exposures to particulate matters (aerodynamic diameter ≤1, ≤2.5 and ≤10 µm: PM1, PM2.5 and PM10, respectively) and asthma and asthma-related respiratory symptoms. The objective of the present study was to compare the strength of the aforementioned associations in middle-aged and elderly adults. Methods We calculated the mean 722-day personal exposure estimates of PM1, PM2.5 and PM10 at 1 km×1 km spatial resolution between 2013 and 2019 at individual levels from China High Air Pollutants (CHAP) datasets. Using logistic regression models, we presented the associations as odds ratios and 95% confidence intervals, for each interquartile range (IQR) increase in PM1/PM2.5/PM10 concentration. Asthma denoted a self-reported history of physician-diagnosed asthma or wheezing in the preceding 12 months. Results We included 7371 participants in COPD surveillance from Guangdong, China. Each IQR increase in PM1, PM2.5 and PM10 was associated with a greater odds (OR (95% CI)) of asthma (PM1: 1.22 (1.02-1.45); PM2.5: 1.24 (1.04-1.48); PM10: 1.30 (1.07-1.57)), wheeze (PM1: 1.27 (1.11-1.44); PM2.5: 1.30 (1.14-1.48); PM10: 1.34 (1.17-1.55)), persistent cough (PM1: 1.33 (1.06-1.66); PM2.5: 1.36 (1.09-1.71); PM10: 1.31 (1.02-1.68)) and dyspnoea (PM1: 2.10 (1.84-2.41); PM2.5: 2.17 (1.90-2.48); PM10: 2.29 (1.96-2.66)). Sensitivity analysis results were robust after excluding individuals with a family history of allergy. Associations of PM1, PM2.5 and PM10 with asthma and asthma-related respiratory symptoms were slightly stronger in males. Conclusion Long-term exposure to PM is associated with increased risks of asthma and asthma-related respiratory symptoms.
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Affiliation(s)
- Xue-yan Zheng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Xue-yan Zheng, Shu-jun Guo and Jian-xiong Hu contributed equally to this article as joint first authors
| | - Shu-jun Guo
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Department of Respiratory and Critical Care Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Xue-yan Zheng, Shu-jun Guo and Jian-xiong Hu contributed equally to this article as joint first authors
| | - Jian-xiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- Xue-yan Zheng, Shu-jun Guo and Jian-xiong Hu contributed equally to this article as joint first authors
| | - Rui-lin Meng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yan-jun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yun-hong Lv
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Ye Wang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Ni Xiao
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Chuan Li
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xiao-jun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - De-jian Zhao
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Hong-ye Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jia-hui He
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Department of Respiratory and Critical Care Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiao-min Tan
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Li-feng Lin
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
- Li-feng Lin and Wei-jie Guan contributed equally to this article as lead authors and supervised the work
| | - Wei-jie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Department of Respiratory and Critical Care Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Thoracic Surgery, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou, China
- Li-feng Lin and Wei-jie Guan contributed equally to this article as lead authors and supervised the work
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Khraishah H, Chen Z, Rajagopalan S. Understanding the Cardiovascular and Metabolic Health Effects of Air Pollution in the Context of Cumulative Exposomic Impacts. Circ Res 2024; 134:1083-1097. [PMID: 38662860 PMCID: PMC11253082 DOI: 10.1161/circresaha.124.323673] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Poor air quality accounts for more than 9 million deaths a year globally according to recent estimates. A large portion of these deaths are attributable to cardiovascular causes, with evidence indicating that air pollution may also play an important role in the genesis of key cardiometabolic risk factors. Air pollution is not experienced in isolation but is part of a complex system, influenced by a host of other external environmental exposures, and interacting with intrinsic biologic factors and susceptibility to ultimately determine cardiovascular and metabolic outcomes. Given that the same fossil fuel emission sources that cause climate change also result in air pollution, there is a need for robust approaches that can not only limit climate change but also eliminate air pollution health effects, with an emphasis of protecting the most susceptible but also targeting interventions at the most vulnerable populations. In this review, we summarize the current state of epidemiologic and mechanistic evidence underpinning the association of air pollution with cardiometabolic disease and how complex interactions with other exposures and individual characteristics may modify these associations. We identify gaps in the current literature and suggest emerging approaches for policy makers to holistically approach cardiometabolic health risk and impact assessment.
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Affiliation(s)
- Haitham Khraishah
- Division of Cardiovascular Medicine, University of Maryland Medical Center, Baltimore (H.K.)
| | - Zhuo Chen
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (Z.C., S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (Z.C., S.R.)
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (Z.C., S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (Z.C., S.R.)
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Lin L, Huang H, Lei F, Sun T, Chen Z, Qin K, Li M, Hu Y, Huang X, Zhang X, Zhang P, Zhang XJ, She ZG, Cai J, Yang S, Jia P, Li H. Long-Term Exposure to Fine Particulate Constituents and Vascular Damage in a Population with Metabolic Abnormality in China. J Atheroscler Thromb 2023; 30:1552-1567. [PMID: 37032101 PMCID: PMC10627764 DOI: 10.5551/jat.64062] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 02/23/2023] [Indexed: 04/11/2023] Open
Abstract
AIM To date, PM2.5-associated vascular damage in metabolic abnormalities has remained controversial. We knew little about the vascular damage of PM2.5 constituents. Thus, this study aimed to investigate the relationship between long-term exposure to PM2.5 and its constituents and vascular damage in metabolic abnormalities. METHODS A total of 124,387 participants with metabolic abnormalities (defined as at least one metabolic disorder, such as obesity, elevated blood pressure, elevated triglyceride level, elevated fasting glucose level, or low HDL cholesterol level) were recruited in this study from 11 representative centers in China between January 2011 and December 2017. PM2.5 and its constituents (black carbon [BC], organic matter [OM], sulfate [SO42-], nitrate [NO3-], and ammonium salts [NH4+]) were extracted. Elevated brachial-ankle pulse wave velocity (baPWV) (≥ 1,400 cm/s) and declined ankle-brachial index (ABI) (<0.9) indicated vascular damage. Multivariable logistic regression and Quantile g-Computation models were utilized to explore the impact on outcomes. RESULTS Of the 124,387 participants (median age, 49 years), 87,870 (70.64%) were men. One-year lag exposure to PM2.5 and its constituents was significantly associated with vascular damage in single pollutant models. The adjusted odds ratios (OR) for each 1-µg/m3 increase in PM2.5 was 1.013 (95% CI, 1.012-1.015) and 1.031 (95% CI, 1.025-1.037) for elevated baPWV and decreased ABI, respectively. PM2.5 constituents were also associated with vascular damage in multi-pollutant models. Among the PM2.5 constituents, BC (47.17%), SO42- (33.59%), and NH4+ (19.23%) have the highest contribution to elevated baPWV and NO3- (47.89%) and BC (23.50%) to declined ABI. CONCLUSION Chronic exposure to PM2.5 and PM2.5 constituents was related to vascular damage in the abnormal metabolic population in China. The heterogeneous contribution of different PM2.5 constituents to vessel bed damage is worthy of attention when developing targeted strategies.
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Affiliation(s)
- Lijin Lin
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Huxiang Huang
- Department of Respiratory and Critical Care Medicine, Huanggang central Hospital of Yangtze University, Huanggang, China
- Huanggang Institute of Translational Medicine, Huanggang, China
| | - Fang Lei
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Tao Sun
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Ze Chen
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Kun Qin
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Manyao Li
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Yingying Hu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Xuewei Huang
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xingyuan Zhang
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Peng Zhang
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Xiao-Jing Zhang
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Zhi-Gang She
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Jingjing Cai
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Shujuan Yang
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
- Hubei Luojia Laboratory, Wuhan, China
- School of Public Health, Wuhan University, Wuhan, China
| | - Hongliang Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
- Huanggang Institute of Translational Medicine, Huanggang, China
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
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Basith S, Manavalan B, Shin TH, Park CB, Lee WS, Kim J, Lee G. The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer. NANOMATERIALS 2022; 12:nano12152656. [PMID: 35957086 PMCID: PMC9370264 DOI: 10.3390/nano12152656] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 12/26/2022]
Abstract
Air pollution exerts several deleterious effects on the cardiovascular system, with cardiovascular disease (CVD) accounting for 80% of all premature deaths caused by air pollution. Short-term exposure to particulate matter 2.5 (PM2.5) leads to acute CVD-associated deaths and nonfatal events, whereas long-term exposure increases CVD-associated risk of death and reduces longevity. Here, we summarize published data illustrating how PM2.5 may impact the cardiovascular system to provide information on the mechanisms by which it may contribute to CVDs. We provide an overview of PM2.5, its associated health risks, global statistics, mechanistic underpinnings related to mitochondria, and hazardous biological effects. We elaborate on the association between PM2.5 exposure and CVD development and examine preventive PM2.5 exposure measures and future strategies for combating PM2.5-related adverse health effects. The insights gained can provide critical guidelines for preventing pollution-related CVDs through governmental, societal, and personal measures, thereby benefitting humanity and slowing climate change.
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Affiliation(s)
- Shaherin Basith
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Balachandran Manavalan
- Computational Biology and Bioinformatics Laboratory, Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Korea;
| | - Tae Hwan Shin
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Chan Bae Park
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Wang-Soo Lee
- Department of Internal Medicine, Division of Cardiology, College of Medicine, Chung-Ang University, Seoul 06973, Korea;
| | - Jaetaek Kim
- Department of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Chung-Ang University, Seoul 06973, Korea
- Correspondence: (J.K.); (G.L.)
| | - Gwang Lee
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea
- Correspondence: (J.K.); (G.L.)
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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: 137] [Impact Index Per Article: 68.5] [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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Lu Y. Beyond air pollution at home: Assessment of personal exposure to PM 2.5 using activity-based travel demand model and low-cost air sensor network data. ENVIRONMENTAL RESEARCH 2021; 201:111549. [PMID: 34153337 DOI: 10.1016/j.envres.2021.111549] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/13/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
Assessing personal exposure to air pollution is challenging due to the limited availability of human movement data and the complexity of modeling air pollution at high spatiotemporal resolution. Most health studies rely on residential estimates of outdoor air pollution instead which introduces exposure measurement error. Personal exposure for 100,784 individuals in Los Angeles County was estimated by integrating human movement data simulated from the Southern California Association of Governments (SCAG) activity-based travel demand model with hourly PM2.5 predictions from my 500 m gridded model incorporating low-cost sensor monitoring data. Individual exposures were assigned considering PM2.5 levels at homes, workplaces, and other activity locations. These dynamic exposures were compared to the residence-based exposures, which do not consider human movement, to examine the degree of exposure estimation bias. The results suggest that exposures were underestimated by 13% (range 5-22%) on average when human movement was not considered, and much of the error was eliminated by accounting for work location. Exposure estimation bias increased for people who exhibited higher mobility levels, especially for workers with long commute distances. Overall, the personal exposures of workers were underestimated by 22% (5-61%) relative to their residence-based exposures. For workers who commute >20 miles, their exposure levels can be at most underestimated by 61%. Omitting mobility resulted in underestimating exposures for people who reside in areas with cleaner air but work in more polluted areas. Similarly, exposures were overestimated for people living in areas with poorer air quality and working in cleaner areas. These could lead to differential estimation biases across racial, ethnic and socioeconomic lines that typically correlate with where people live and work and lead to important exposure and health disparities. This study demonstrates that ignoring human movement and spatiotemporal variability of air pollution could lead to differential exposure misclassification potentially biasing health risk assessments. These improved dynamic approaches can help planners and policymakers identify disadvantaged populations for which exposures are typically misrepresented and might lead to targeted policy and planning implications.
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Affiliation(s)
- Yougeng Lu
- Department of Urban Planning and Spatial Analysis, University of Southern California, USA.
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Effects of long-term air pollution exposure on ankle-brachial index and cardio-ankle vascular index: A longitudinal cohort study using data from the Electricity Generating Authority of Thailand study. Int J Hyg Environ Health 2021; 236:113790. [PMID: 34139634 DOI: 10.1016/j.ijheh.2021.113790] [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: 02/04/2021] [Revised: 06/02/2021] [Accepted: 06/07/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Ankle-brachial index (ABI) and cardio-ankle vascular index (CAVI) are surrogate measures of atherosclerosis based on the functional performance of vessels, and are highly related to cardiovascular events. However, only a few longitudinal studies have been conducted on their associations with long-term air pollution exposure. OBJECTIVE This study aimed to examine whether long-term air pollution exposure is associated with ABI and CAVI in workers of the Electricity Generating Authority of Thailand (EGAT) in the Bangkok Metropolitan Region (BMR). METHODS This longitudinal study included 1261 participants (age range, 57-76 years as of 2007) of the EGAT study (2007-2017). ABI and CAVI were measured in 2007, 2012, and 2017. Annual mean concentrations of particulate matter ≤10 μm in diameter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) were estimated by ordinary kriging using data from 22 background and 7 traffic monitoring stations in BMR between 2002 and 2017. Linear mixed-effects models were used to assess associations between air pollution (expressed as 1-year, 3-year, and 5-year average concentration) and ABI and CAVI (expressed as percent changes per interquartile range (IQR) increase in PM10, O3, NO2, SO2, and CO). We also applied the mixed-effect ordinal logistic models to calculate odds ratios (ORs) of having high or moderate CAVI per an IQR increase in air pollution. RESULTS After controlling for potential confounders, 1-year average CO was negatively associated with ABI, but not significantly (-0.48%, 95% CI: -1.03, 0.07). Three-year average NO2 was positively associated with CAVI (6.67%, 95% CI: 0.21, 13.1). In contrast, 1-year average PM10 was inversely associated with CAVI although the association was not significant. Although not significantly, 1-year average NO2 and CO were positively associated with prevalence of high or moderate CAVI. CONCLUSIONS Although not statistically significant, long-term NO2 and CO exposure was associated with ABI and CAVI in the participants of the EGAT study.
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Systematic review and meta-analysis of cohort studies of long term outdoor nitrogen dioxide exposure and mortality. PLoS One 2021; 16:e0246451. [PMID: 33539450 PMCID: PMC7861378 DOI: 10.1371/journal.pone.0246451] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 01/10/2021] [Indexed: 01/04/2023] Open
Abstract
Objective To determine whether long term exposure to outdoor nitrogen dioxide (NO2) is associated with all-cause or cause-specific mortality. Methods MEDLINE, Embase, CENTRAL, Global Health and Toxline databases were searched using terms developed by a librarian. Screening, data extraction and risk of bias assessment were completed independently by two reviewers. Conflicts were resolved through consensus and/or involvement of a third reviewer. Pooling of results across studies was conducted using random effects models, heterogeneity among included studies was assessed using Cochran’s Q and I2 measures, and sources of heterogeneity were evaluated using meta-regression. Sensitivity of pooled estimates to individual studies was examined and publication bias was evaluated using Funnel plots, Begg’s and Egger’s tests, and trim and fill. Results Seventy-nine studies based on 47 cohorts, plus one set of pooled analyses of multiple European cohorts, met inclusion criteria. There was a consistently high degree of heterogeneity. After excluding studies with probably high or high risk of bias in the confounding domain (n = 12), pooled hazard ratios (HR) indicated that long term exposure to NO2 was significantly associated with mortality from all/ natural causes (pooled HR 1.047, 95% confidence interval (CI), 1.023–1.072 per 10 ppb), cardiovascular disease (pooled HR 1.058, 95%CI 1.026–1.091), lung cancer (pooled HR 1.083, 95%CI 1.041–1.126), respiratory disease (pooled HR 1.062, 95%CI1.035–1.089), and ischemic heart disease (pooled HR 1.111, 95%CI 1.079–1.144). Pooled estimates based on multi-pollutant models were consistently smaller than those from single pollutant models and mostly non-significant. Conclusions For all causes of death other than cerebrovascular disease, the overall quality of the evidence is moderate, and the strength of evidence is limited, while for cerebrovascular disease, overall quality is low and strength of evidence is inadequate. Important uncertainties remain, including potential confounding by co-pollutants or other concomitant exposures, and limited supporting mechanistic evidence. (PROSPERO registration number CRD42018084497)
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Yadav R, Deora S, Yadav G. Air pollution and its impact on cardiovascular health - It's time to act fast! Indian Heart J 2021; 73:1-6. [PMID: 33714392 PMCID: PMC7961250 DOI: 10.1016/j.ihj.2021.01.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Rakesh Yadav
- Department of Cardiology, AIIMS, Ansari Nagar, New Delhi, 110029, India.
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Sun D, Liu Y, Zhang J, Liu J, Wu Z, Liu M, Li X, Guo X, Tao L. Long-term effects of fine particulate matter exposure on the progression of arterial stiffness. Environ Health 2021; 20:2. [PMID: 33407540 PMCID: PMC7789369 DOI: 10.1186/s12940-020-00688-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 12/18/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Prior studies have investigated the association of PM2.5 exposure with arterial stiffness measured by ankle-brachial index (ABI) and brachial-ankle pulse wave velocity (baPWV), of which conclusions are inconsistent. Moreover, limited evidence is available on the contributory role of PM2.5 exposure on the arterial stiffness index. METHODS We used the population data from the Beijing Health Management Cohort and conducted a longitudinal analysis. The annual average concentration of PM2.5 for 35 air pollutant monitoring sites in Beijing from 2014 to 2018 was used to estimate individual exposure by different interpolation methods. Multivariate logistic regression and linear regression were conducted to assess the association of annual average PM2.5 concentration with the incidence of higher baPWV, the progression of ABI, and baPWV, respectively. RESULTS The association between PM2.5 exposure and incidence of higher baPWV was not significant (OR = 1.11, 95% CI: 0.82-1.50, P = 0.497). There was - 0.16% (95% CI: - 0.43-0.11%) decrease in ABI annually and 1.04% (95% CI: 0.72-1.37%) increase in baPWV annually with each increment of 10 μg/m3 average PM2.5 concentration. CONCLUSIONS Long-term exposure to PM2.5 was associated with the progression of arterial stiffness in Beijing. This study suggests that improvement of air quality may help to prevent arterial stiffness.
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Affiliation(s)
- Dianqin Sun
- School of Public Health, Capital Medical University, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Yue Liu
- School of Public Health, Capital Medical University, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
| | - Jia Liu
- School of Public Health, Capital Medical University, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
| | - Zhiyuan Wu
- School of Public Health, Capital Medical University, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
| | - Mengyang Liu
- School of Public Health, Capital Medical University, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, Australia
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
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12
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Al-Kindi SG, Brook RD, Biswal S, Rajagopalan S. Environmental determinants of cardiovascular disease: lessons learned from air pollution. Nat Rev Cardiol 2020; 17:656-672. [PMID: 32382149 PMCID: PMC7492399 DOI: 10.1038/s41569-020-0371-2] [Citation(s) in RCA: 281] [Impact Index Per Article: 70.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/22/2020] [Indexed: 12/20/2022]
Abstract
Air pollution is well recognized as a major risk factor for chronic non-communicable diseases and has been estimated to contribute more to global morbidity and mortality than all other known environmental risk factors combined. Although air pollution contains a heterogeneous mixture of gases, the most robust evidence for detrimental effects on health is for fine particulate matter (particles ≤2.5 µm in diameter (PM2.5)) and ozone gas and, therefore, these species have been the main focus of environmental health research and regulatory standards. The evidence to date supports a strong link between the risk of cardiovascular events and all-cause mortality with PM2.5 across a range of exposure levels, including to levels below current regulatory standards, with no 'safe' lower exposure levels at the population level. In this comprehensive Review, the empirical evidence supporting the effects of air pollution on cardiovascular health are examined, potential mechanisms that lead to increased cardiovascular risk are described, and measures to reduce this risk and identify key gaps in our knowledge that could help address the increasing cardiovascular morbidity and mortality associated with air pollution are discussed.
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Affiliation(s)
- Sadeer G Al-Kindi
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH, USA
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Robert D Brook
- Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Shyam Biswal
- Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD, USA
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH, USA.
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
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13
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Miller MR, Newby DE. Air pollution and cardiovascular disease: car sick. Cardiovasc Res 2020; 116:279-294. [PMID: 31583404 DOI: 10.1093/cvr/cvz228] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 08/03/2019] [Accepted: 08/19/2019] [Indexed: 12/12/2022] Open
Abstract
The cardiovascular effects of inhaled particle matter (PM) are responsible for a substantial morbidity and mortality attributed to air pollution. Ultrafine particles, like those in diesel exhaust emissions, are a major source of nanoparticles in urban environments, and it is these particles that have the capacity to induce the most significant health effects. Research has shown that diesel exhaust exposure can have many detrimental effects on the cardiovascular system both acutely and chronically. This review provides an overview of the cardiovascular effects on PM in air pollution, with an emphasis on ultrafine particles in vehicle exhaust. We consider the biological mechanisms underlying these cardiovascular effects of PM and postulate that cardiovascular dysfunction may be implicated in the effects of PM in other organ systems. The employment of multiple strategies to tackle air pollution, and especially ultrafine particles from vehicles, is likely to be accompanied by improvements in cardiovascular health.
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Affiliation(s)
- Mark R Miller
- University/BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH4 3RL, UK
| | - David E Newby
- University/BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH4 3RL, UK
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14
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Yu X, Ivey C, Huang Z, Gurram S, Sivaraman V, Shen H, Eluru N, Hasan S, Henneman L, Shi G, Zhang H, Yu H, Zheng J. Quantifying the impact of daily mobility on errors in air pollution exposure estimation using mobile phone location data. ENVIRONMENT INTERNATIONAL 2020; 141:105772. [PMID: 32416372 DOI: 10.1016/j.envint.2020.105772] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 03/24/2020] [Accepted: 04/26/2020] [Indexed: 06/11/2023]
Abstract
One major source of uncertainty in accurately estimating human exposure to air pollution is that human subjects move spatiotemporally, and such mobility is usually not considered in exposure estimation. How such mobility impacts exposure estimates at the population and individual level, particularly for subjects with different levels of mobility, remains under-investigated. In addition, a wide range of methods have been used in the past to develop air pollutant concentration fields for related health studies. How the choices of methods impact results of exposure estimation, especially when detailed mobility information is considered, is still largely unknown. In this study, by using a publicly available large cell phone location dataset containing over 35 million location records collected from 310,989 subjects, we investigated the impact of individual subjects' mobility on their estimated exposures for five chosen ambient pollutants (CO, NO2, SO2, O3 and PM2.5). We also estimated exposures separately for 10 groups of subjects with different levels of mobility to explore how increased mobility impacted their exposure estimates. Further, we applied and compared two methods to develop concentration fields for exposure estimation, including one based on Community Multiscale Air Quality (CMAQ) model outputs, and the other based on the interpolated observed pollutant concentrations using the inverse distance weighting (IDW) method. Our results suggest that detailed mobility information does not have a significant influence on mean population exposure estimate in our sample population, although impacts can be substantial at the individual level. Additionally, exposure classification error due to the use of home-location data increased for subjects that exhibited higher levels of mobility. Omitting mobility could result in underestimation of exposures to traffic-related pollutants particularly during afternoon rush-hour, and overestimate exposures to ozone especially during mid-afternoon. Between CMAQ and IDW, we found that the IDW method generates smooth concentration fields that were not suitable for exposure estimation with detailed mobility data. Therefore, the method for developing air pollution concentration fields when detailed mobility data were to be applied should be chosen carefully. Our findings have important implications for future air pollution health studies.
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Affiliation(s)
- Xiaonan Yu
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA
| | - Cesunica Ivey
- Department of Chemical and Environmental Engineering, University of California Riverside, Riverside, CA, USA
| | - Zhijiong Huang
- Inisitute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | | | | | - Huizhong Shen
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Naveen Eluru
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA
| | - Samiul Hasan
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA
| | - Lucas Henneman
- T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA
| | - Guoliang Shi
- College of Environmental Science and Engineering, Nankai University, Tianjin, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Haofei Yu
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA.
| | - Junyu Zheng
- Inisitute for Environmental and Climate Research, Jinan University, Guangzhou, China
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15
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Chen R, Zhang X, Wang P, Xie K, Jian J, Zhang Y, Zhang J, Yuan Y, Na P, Yi M, Xu J. Transparent thermoplastic polyurethane air filters for efficient electrostatic capture of particulate matter pollutants. NANOTECHNOLOGY 2019; 30:015703. [PMID: 30284536 DOI: 10.1088/1361-6528/aae611] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Particulate matter (PM) air pollution has been established as a significant threat to public health and a destructive factor to the climate and eco-systems. In order to eliminate the effects of PM air pollution, various air filtering strategies based on electrospun nanofibers have recently been developed. However, to date, almost none of the existing nanofibers based air filters can meet the requirements of high-performance air PM filtering, including high PM removal efficiency, low resistance to airflow, and long service life, etc. For the first time, we report a fabrication process using the electrospinning method for air filters based on thermoplastic polyurethane (TPU) nanofibers. The average diameters of TPU nanofibers are tunable from 0.14 ± 0.06 μm to 0.82 ± 0.22 μm by changing the TPU concentrations in polymeric solutions. The optimized TPU nanofibers based air filters demonstrate the attractive attributes of high PM2.5 removal efficiency up to 98.92%, good optical transparency of ∼60%, low pressure drop of ∼10 Pa, high quality factor of 0.45 Pa-1, and long service life under the flow rate of 200 ml min-1, which is ground-breaking compared with the existing nanofibers based air filters. These TPU nanofibers based air filters, with the excellent filtration performance and light transmittance, will shed light on the future research of nanofibers for various filtration applications and greatly benefit the public health by reducing the effects of PM air pollution.
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Affiliation(s)
- Ruowang Chen
- Department of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, People's Republic of China
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