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Tenailleau Q, Lanier C, Prud'homme J, Cuny D, Deram A, Occelli F. Distance-based indicators for evaluating environmental multi-contamination and related exposure: how far should we go? ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024:10.1007/s11356-024-34519-9. [PMID: 39102141 DOI: 10.1007/s11356-024-34519-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 07/23/2024] [Indexed: 08/06/2024]
Abstract
Assessing environmental exposure to pollution is a challenging task, and scientists often use distance-based or proximity indicators when field or modeled data are unavailable. Although buffers are commonly used to represent the impact of a pollution source on neighboring populations, they can result in high-exposure misclassification. Euclidean distance-based indicators offer a promising alternative, but practices vary significantly in the literature. In this study, we aimed to compare several distance-based indicators for multiple environmental contaminants in an industrial and urban area. At the population's grid cell resolution of 200 × 200 m, we compared the distance to the closest source, the average or median distance to all sources, or a restricted number of nearby sources for six types of sources (industries, railways, rail areas, roadways, road crossings, and agricultural patches) against environmental contamination data (PM10, NO2, and multimetallic contamination in lichens). Our findings revealed that the representativeness of contamination by indicators is significantly affected by the type and number of nearby sources considered. Specifically, we found that considering the distance to the nearest source or the average distance to all sources can lead to exposure misclassifications. The optimal correlation between distance indicators and pollutant levels was observed when considering 10-14 of the closest industrial sources, located within a 4.9- to 5.5-km radius. For rail areas, the optimal number was two to three sources within a 5.4- to 7.4-km radius. For main roads, intersections, and railways, the optimal number of sources varied depending on the pollutant, generally falling within a 3- to 9.4-km radius. Environmental contamination is influenced by the diversity of nearby sources, and considering only one source increases the risk of misclassification. Our results suggest that proximity models are still appropriate for study areas where the etiology of existing health effects is unclear, providing an exploratory analysis before more sophisticated research.
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Affiliation(s)
- Quentin Tenailleau
- ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, 3 Rue du Pr Laguesse BP83, F-59000, Lille, France
- UFR3S - Pharmacie, 59000, Lille, France
| | - Caroline Lanier
- ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, 3 Rue du Pr Laguesse BP83, F-59000, Lille, France
- UFR3S - Ingénierie et Management de la Santé (ILIS), 59120, Nord, France
| | - Julie Prud'homme
- ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, 3 Rue du Pr Laguesse BP83, F-59000, Lille, France
- UFR3S - Pharmacie, 59000, Lille, France
| | - Damien Cuny
- ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, 3 Rue du Pr Laguesse BP83, F-59000, Lille, France
- UFR3S - Pharmacie, 59000, Lille, France
| | - Annabelle Deram
- ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, 3 Rue du Pr Laguesse BP83, F-59000, Lille, France
- UFR3S - Ingénierie et Management de la Santé (ILIS), 59120, Nord, France
| | - Florent Occelli
- ULR 4515 - LGCgE, Laboratoire de Génie Civil et géo-Environnement, Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, 3 Rue du Pr Laguesse BP83, F-59000, Lille, France.
- UFR3S - Ingénierie et Management de la Santé (ILIS), 59120, Nord, France.
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Casal B, Rivera B, Currais L. Evidence of the adverse effects of air pollution on the population's health in Spain: analysis of the economic costs of premature deaths. CAD SAUDE PUBLICA 2023; 39:e00145922. [PMID: 37585903 PMCID: PMC10494681 DOI: 10.1590/0102-311xen145922] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 03/31/2023] [Accepted: 04/13/2023] [Indexed: 08/18/2023] Open
Abstract
Exposure to ambient air pollution increases mortality and morbidity, leading disabilities, and premature deaths. Air pollution has been identified as a leading cause of global disease burden, especially in low- and middle-income countries in 2015 (Global Burden of Diseases, Injuries and Risk Factors Study, 2015). This study explores the relation between mortality rates and particulate matter (PM) concentrations in the 50 Spanish regions for the period 2002-2017. Moreover, we estimated the premature deaths due to PM in Spain according to welfare and production losses in 2017. Random-effects models were developed to evaluate the relation between mortality rates and PM concentrations. The economic cost of premature deaths was assessed using the Willingness to Pay approach to quantify welfare losses and the Human Capital method to estimate production losses. PM10 concentrations are positively related to mortality due to respiratory diseases and stroke. Based on 10,342 premature deaths in 2017, losses in welfare amount to EUR 36,227 million (3.1% of Spanish GDP). The economic value of current and future production losses reached EUR 229 million (0.02% of GDP). From a social perspective, air pollution is a public health concern that greatly impacts health and quality of life. Results highlight the need to implement or strengthen regulatory, fiscal, and health public policies to substantially benefit the population's health by reducing their exposure to air pollution.
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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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4
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Xiao D, Li W, Zhang WH, Wen Z, Mo W, Lu C, Guo L, Yang L. Maternal periconceptional environmental exposure and offspring with congenital heart disease: a case-control study in Guangzhou, China. BMC Pregnancy Childbirth 2023; 23:57. [PMID: 36694158 PMCID: PMC9872400 DOI: 10.1186/s12884-023-05355-5] [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: 09/01/2022] [Accepted: 01/05/2023] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Congenital heart defects (CHDs) are a major global health problem, yet their crucial environmental risk factors are still unclear. We aimed to explore the associations between maternal periconceptional environmental exposures and all CHDs, isolated and multiple CHDs and CHDs subtypes. METHOD A case-control study including 675 infants with CHDs and 1545 healthy controls was conducted. Participating mothers who delivered in Guangzhou from October 2019 to November 2021 were recruited. To examine the independent associations between maternal periconceptional environmental exposure and offspring with CHDs, we calculated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable logistic regression model. RESULTS Maternal exposure to living near main roads [adjusted OR (aOR) = 1.94, 95% CI = 1.06-3.56] and housing renovation (aOR = 1.94, 95% CI = 1.03-3.67) during the periconceptional period were positively related to a greater risk of all CHDs, similar results were also found in isolated CHDs rather than multiple CHDs. Additionally, living near main roads was positively associated with secundum atrial septal defect/patent foramen ovale (aOR = 2.65, 95% CI = 1.03-6.81) and housing renovation was strongly positively associated with ventricular septal defect (aOR = 5.08, 95% CI = 2.05-12.60). However, no association was observed between incense burning and family relationships and all CHDs, isolated and multiple CHDs and CHDs subtypes. CONCLUSION Living near main roads and housing renovation during the periconceptional period are significantly associated with the increased risks for all CHDs and isolated CHDs. Further study is needed to extend sample size to explore the effects of time and frequency of burning incense and family relationships on CHDs in offspring.
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Affiliation(s)
- Di Xiao
- grid.413428.80000 0004 1757 8466Department of Comprehensive Maternal and Child Health, Guangzhou Women and Children’s Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623 China
| | - Weidong Li
- grid.413428.80000 0004 1757 8466Department of Comprehensive Maternal and Child Health, Guangzhou Women and Children’s Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623 China
| | - Wei-Hong Zhang
- grid.5342.00000 0001 2069 7798International Centre for Reproductive Health (ICRH), Department of Public Health and Primary Care, Ghent University, Ghent, Belgium ,grid.4989.c0000 0001 2348 0746School of Public Health, Université libre de Bruxelles (ULB), 1070 Bruxelles, Belgium
| | - Zihao Wen
- grid.413428.80000 0004 1757 8466Department of Comprehensive Maternal and Child Health, Guangzhou Women and Children’s Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623 China
| | - Weijian Mo
- grid.413428.80000 0004 1757 8466Department of Comprehensive Maternal and Child Health, Guangzhou Women and Children’s Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623 China
| | - Ciyong Lu
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong China
| | - Lan Guo
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong China
| | - Li Yang
- grid.413428.80000 0004 1757 8466Department of Comprehensive Maternal and Child Health, Guangzhou Women and Children’s Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623 China
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5
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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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Lee MN, Jeong W, Jang SI, Park S, Park EC. Association between Stroke Quality Assessments and Mortality within 30 Days among Patients Who Underwent Hemorrhagic Stroke Surgeries in South Korea. Cerebrovasc Dis 2021; 51:82-91. [PMID: 34333493 DOI: 10.1159/000517904] [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: 03/29/2021] [Accepted: 06/16/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION In South Korea, to improve the quality of medical services provided to stroke patients, stroke quality assessments have been implemented since 2006. To further promote improvement of care, financial incentives were introduced since 2012. This study aims to examine the association between stroke quality assessments and mortality within 30 days among South Korean adults who underwent hemorrhagic stroke surgeries to provide evidence of the importance of such assessments. METHODS Data from 45,741 patients from 374 healthcare organizations, derived from the 2013-2016 claims data of the Korean Health Insurance Review and Assessment Service, were examined. To ensure homogeneity, only patients who underwent hemorrhagic stroke surgeries were selected. Healthcare organizations were classified based on whether stroke quality assessments were conducted. The dependent variable of this study was death within 30 days of hospitalization. A generalized linear mixed model was constructed to analyze the association between variables. RESULTS Healthcare organizations without stroke quality assessments exhibited a higher risk of mortality than those that did (adjusted odds ratio [OR] = 1.53, 95% confidence interval [CI] = 1.16-2.01). Among healthcare organizations with the lowest volume, those without stroke quality assessments had a higher risk of mortality than those that did (tertile 1 [low], adjusted OR = 1.38, 95% CI = 1.04-1.84). Among rural healthcare organizations, those without assessments had a higher risk of mortality than did those that did (adjusted OR = 1.61, 95% CI = 1.06-2.43). CONCLUSIONS The study identified a significant relationship between stroke quality assessments and 30-day mortality. Healthcare organizations without stroke quality assessments may exhibit a comparatively higher risk of mortality. Future interventions to minimize mortality and provide evidence for policymakers and healthcare leaders could involve expanding the scope of stroke quality assessment.
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Affiliation(s)
- Mi-Na Lee
- Health Insurance Review and Assessment Service Agency, Wonju-si, Republic of Korea
| | - Wonjeong Jeong
- Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.,Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
| | - Sung-In Jang
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea.,Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sohee Park
- Department of Biostatistics, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea
| | - Eun-Cheol Park
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea.,Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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7
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Dos Santos NV, Yariwake VY, Marques KDV, Veras MM, Fajersztajn L. Air Pollution: A Neglected Risk Factor for Dementia in Latin America and the Caribbean. Front Neurol 2021; 12:684524. [PMID: 34367051 PMCID: PMC8339300 DOI: 10.3389/fneur.2021.684524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 06/21/2021] [Indexed: 11/13/2022] Open
Abstract
The risk of dementia and Alzheimer's disease in Latin America and the Caribbean (LAC) rises with increasing age and polluted air. Currently, at least 172 million people breathe unhealthy levels of air pollution in LAC countries. Several cohort studies have indicated that air pollution increases the risk of developing dementia and neurodegenerative diseases, but the mechanisms underlying the association are still not clear. Air pollution causes and aggravates five established risk factors for dementia (obesity, hypertension, stroke, diabetes mellitus, and heart diseases) and is linked to three other risk factors (physical inactivity, cognitive inactivity, and depression). Some of these risk factors could be mediating the association between air pollution and dementia. Reducing the risks for dementia is crucial and urgently needed in LAC countries. There is room for improving air quality in many urban areas in the LAC region and other low- and middle-income countries (LMICs), a routealready explored by many urban areas in developing regions. Moreover, reducing air pollution has proved to improve health outcomes before. In this article, we propose that despite the ongoing and valid scientific discussion, if air pollution can or cannot directly affect the brain and cause or aggravate dementia, we are ready to consider air pollution as a potentially modifiable risk factor for dementia in LAC and possibly in other LMICs. We suggest that controlling and reducing current air pollution levels in LAC and other LMIC regions now could strongly contribute.
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Affiliation(s)
- Nathália Villa Dos Santos
- Laboratório de Poluição Ambiental, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.,Departamento de Saude Ambiental, Faculdade de Saude Publica, Universidade de São Paulo, São Paulo, Brazil
| | - Victor Yuji Yariwake
- Laboratório de Poluição Ambiental, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | | | - Mariana Matera Veras
- Laboratório de Poluição Ambiental, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Laís Fajersztajn
- Laboratório de Poluição Ambiental, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
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8
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Yao Y, Cao K, Zhang K, Zhu T, Yue D, Zhang H, Zhang J, Jin X, Zeng Y. Residential Proximity to Major Roadways and Prevalent Hypertension Among Older Women and Men: Results From the Chinese Longitudinal Healthy Longevity Survey. Front Cardiovasc Med 2020; 7:587222. [PMID: 33282919 PMCID: PMC7705226 DOI: 10.3389/fcvm.2020.587222] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 10/12/2020] [Indexed: 01/29/2023] Open
Abstract
Background and Objectives: Prior studies suggested that residential proximity to major roadways was associated with increased risks of cardiovascular diseases in developed countries, for which one explanation is that road proximity could heighten the risks of hypertension. However, the association of residential distance to major roadways with hypertension is still unclear in low- and middle-income countries (LMICs) with levels of air pollution and socioeconomic development distinctively different from developed countries. Methods: We derived data from the eighth wave of the Chinese Longitudinal Healthy Longevity Survey, a nationwide prospective cohort. The present study included 12,881 individuals older than 65 years (mean age, 85.2 ± 11.7 years) with 55.8% of them being female. We ascertained the residential proximity to major roadways based on self-reports and hypertension was defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg. We then used logistic regression to examine the association between residential distance to major roadways and hypertension. Results: The odds ratios (ORs) of hypertension for participants living 50 to 100, 101 to 200, and ≥200 meters from major roads were 1.17 [95% confidence interval (95% CI) = 1.02-1.33], 1.21 (95% CI = 1.05-1.41), and 1.22 (95% CI = 1.10-1.34), respectively, compared to those living within 50 m (P for trend < 0.001). Significant effects of modifications from socioeconomic status and accessibility to health care resources were observed (Ps for interaction < 0.05). Compared to living within 50 m from a major roadway, the ORs of hypertension for living ≥50 m were higher in manual/agricultural workers, low-education groups, participants without household ventilation, and participants lacking in health education and health care resources. We observed considerable variations across geographic regions with the association in question attenuating in Eastern China but remaining significant in other regions. Conclusion: Residential proximity to major roadways was associated with lower odds of hypertension among older adults in China. The utility of residential proximity to major roadways as a marker of increased risks of hypertension and cardiovascular diseases may need to be revisited in LMICs.
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Affiliation(s)
- Yao Yao
- Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China.,Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, United States
| | - Kaixi Cao
- Global Health Research Center, Duke Kunshan University, Suzhou, China
| | - Kehan Zhang
- Global Health Research Center, Duke Kunshan University, Suzhou, China
| | - Tinglong Zhu
- Global Health Research Center, Duke Kunshan University, Suzhou, China
| | - Dahai Yue
- Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States
| | - Hao Zhang
- Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, United States
| | - Jim Zhang
- Global Health Institute and the Nicholas School of Environment, Duke University, Durham, NC, United States
| | - Xurui Jin
- Global Health Research Center, Duke Kunshan University, Suzhou, China
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China.,Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, United States
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9
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Cooke SC, Balmford A, Donald PF, Newson SE, Johnston A. Roads as a contributor to landscape-scale variation in bird communities. Nat Commun 2020; 11:3125. [PMID: 32636366 PMCID: PMC7340783 DOI: 10.1038/s41467-020-16899-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/28/2020] [Indexed: 01/25/2023] Open
Abstract
Roads and their traffic can affect wildlife over large areas and, in regions with dense road networks, may influence a high proportion of the ecological landscape. We assess the abundance of 75 bird species in relation to roads across Great Britain. Of these, 77% vary significantly in abundance with increasing road exposure, just over half negatively so. The effect distances of these negative associations average 700 m from a road, covering over 70% of Great Britain and over 40% of the total area of terrestrial protected sites. Species with smaller national populations generally have lower relative abundance with increasing road exposure, whereas the opposite is true for more common species. Smaller-bodied and migratory species are also more negatively associated with road exposure. By creating environmental conditions that benefit generally common species at the expense of others, road networks may echo other anthropogenic disturbances in bringing about large-scale simplification of avian communities.
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Affiliation(s)
- Sophia C Cooke
- Department of Zoology, University of Cambridge, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK.
| | - Andrew Balmford
- Department of Zoology, University of Cambridge, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK
| | - Paul F Donald
- Department of Zoology, University of Cambridge, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK
- BirdLife International, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK
| | - Stuart E Newson
- British Trust for Ornithology, The Nunnery, Thetford, Norfolk, IP24 2PU, UK
| | - Alison Johnston
- Department of Zoology, University of Cambridge, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK
- Cornell Lab of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, NY, 14850, USA
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10
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Park YM, Kwan MP. Understanding Racial Disparities in Exposure to Traffic-Related Air Pollution: Considering the Spatiotemporal Dynamics of Population Distribution. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E908. [PMID: 32024171 PMCID: PMC7037907 DOI: 10.3390/ijerph17030908] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 01/26/2020] [Accepted: 01/29/2020] [Indexed: 11/16/2022]
Abstract
This study investigates the effect of spatiotemporal distributions of racial groups on disparities in exposure to traffic-related air pollution by considering people's daily movement patterns. Due to human mobility, a residential neighborhood does not fully represent the true geographic context in which people experience racial segregation and unequal exposure to air pollution. Using travel-activity survey data containing individuals' activity locations and time spent at each location, this study measures segregation levels that an individual might experience during the daytime and nighttime, estimates personal exposure by integrating hourly pollution maps and the survey data, and examines the association between daytime/nighttime segregation and exposure levels. The proximity of each activity location to major roads is also evaluated to further examine the unequal exposure. The results reveal that people are more integrated for work in high-traffic areas, which contributes to similarly high levels of exposure for all racial groups during the daytime. However, white people benefit from living in suburbs/exurbs away from busy roads. The finding suggests that policies for building an extensive and equitable public transit system should be implemented together with the policies for residential mixes among racial groups to reduce everyone's exposure to traffic-related air pollution and achieve environmental justice.
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Affiliation(s)
- Yoo Min Park
- Department of Geography, Planning, and Environment, East Carolina University, Brewster Building A-237, MC-557, Greenville, NC 27858, USA
| | - Mei-Po Kwan
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China;
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China
- Department of Human Geography and Spatial Planning, Utrecht University, 3584 CB Utrecht, The Netherlands
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11
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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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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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13
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Requia WJ, Koutrakis P. Mapping distance-decay of premature mortality attributable to PM 2.5-related traffic congestion. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 243:9-16. [PMID: 30170207 DOI: 10.1016/j.envpol.2018.08.056] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 08/11/2018] [Accepted: 08/18/2018] [Indexed: 06/08/2023]
Abstract
Although several air pollution studies have examined the relationship between people living close to roadways and human health, we are unaware of studies that have examined the distance-decay of this effect based on a snapshot of congestion and focused on a micro-level traffic emission inventory. In this paper we estimate the distance-decay of premature mortality risk related to PM2.5 emitted by traffic congestion in Hamilton, Canada, in 2011 We employ the Stochastic User Equilibrium (SUE) traffic assignment algorithm to estimate congested travel times for each road link in our study area. Next, we used EPA's MOVES model to estimate mass of PM2.5, and then R-line dispersion model to predict concentration of PM2.5. Finally, we apply Integrated Exposure Response Function (IERF) to estimate PM2.5-related premature mortality at 100 m × 100 m grid resolution. We estimated total premature mortality over Hamilton to be 73.10 (95%CI: 39.05; 82.11) deaths per year. We observed that the proximity to a roadway increases the risk of premature mortality and the strength of this risk decreases as buffer sizes are increased. For example, we estimated that the premature mortality risk within buffer 0-100 m is 29.5% higher than for the buffer 101-200 m, 179.3% higher than for the buffer 201-300 m, and 566% higher than for the buffer 301-400 m. Our study provides a new perspective on exposure increments from traffic congestion. In particular, our findings show health effects gradients across neighborhoods, capturing microscale near-road exposure up to 2000 m of the roadway. Results from this research can be useful for policymakers to develop new strategies for the challenges of regulating transportation, land use, and air pollution.
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Affiliation(s)
- Weeberb J Requia
- McMaster University, McMaster Institute for Transportation and Logistics, Canada; Harvard University, School of Public Health, 401 Park Drive, Landmark Center 4th Floor West, Boston, MA, 02115, United States.
| | - Petros Koutrakis
- Harvard University, School of Public Health, 401 Park Drive, Landmark Center 4th Floor West, Boston, MA, 02115, United States.
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14
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Béjot Y, Reis J, Giroud M, Feigin V. A review of epidemiological research on stroke and dementia and exposure to air pollution. Int J Stroke 2018; 13:687-695. [DOI: 10.1177/1747493018772800] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background Outdoor air pollution is now a well-known risk factor for morbidity and mortality, and is increasingly being identified as a major risk factor for stroke. Methods A narrative literature review of the effects of short and long-term exposure to air pollution on stroke and dementia risk and cognitive functioning. Results Ten papers on stroke and 17 on dementia were selected. Air pollution, and in particular small particulate matter, contributes to about one-third of the global stroke burden and about one-fifth of the global burden of dementia. It particularly affects vulnerable patients with other vascular risk factors or a prior history of stroke in low- and medium-income countries. New pathophysiological mechanisms of the cause-effect associations are suggested. Conclusion Air pollution should be considered as a new modifiable cerebrovascular and neurodegenerative risk factor. This massive worldwide public health problem requires environmental health policies able to reduce air pollution and thus the stroke and dementia burden.
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Affiliation(s)
- Yannick Béjot
- Dijon Stroke Registry (Inserm, Santé Publique France), EA 7460, University Hospital of Dijon – University of Burgundy, Dijon, France
| | - Jacques Reis
- Neurology Service (Pr C. Tranchant), University Hospital of Strasbourg, Strasbourg, France
| | - Maurice Giroud
- Dijon Stroke Registry (Inserm, Santé Publique France), EA 7460, University Hospital of Dijon – University of Burgundy, Dijon, France
| | - Valery Feigin
- Faculty of Health and Environmental Sciences, AUT University, Auckland, New Zealand
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15
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Kulick ER, Wellenius GA, Boehme AK, Sacco RL, Elkind MS. Residential Proximity to Major Roadways and Risk of Incident Ischemic Stroke in NOMAS (The Northern Manhattan Study). Stroke 2018. [PMID: 29540609 DOI: 10.1161/strokeaha.117.019580] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE The evidence supporting the deleterious cardiovascular health effects of living near a major roadway is growing, although this association is not universal. In primary analyses, we hypothesized that residential proximity to a major roadway would be associated with incident ischemic stroke and that cardiovascular risk factors would modify that association. METHODS NOMAS (The Northern Manhattan Study) is an ongoing, population-based cohort study designed to measure cardiovascular risk factors, stroke incidence, and other outcomes in a multiethnic urban population. Recruitment occurred from 1993 to 2001 and participants are followed-up annually by telephone. Residential addresses at baseline were geocoded and Euclidean distance to nearest major roadway was estimated and categorized as in prior studies. We used Cox proportional hazard models to calculate hazard ratios and 95% confidence intervals for the association of this distance to incidence of stroke and other outcomes, adjusting for sociodemographic and cardiovascular risk factors, year at baseline, and neighborhood socioeconomic status. We assessed whether these associations varied by age, sex, smoking status, diabetes mellitus, and hypertension. RESULTS During a median follow-up period of 15 years (n=3287), 11% of participants were diagnosed with ischemic stroke. Participants living <100 m from a roadway had a 42% (95% confidence interval, 1.01-2.02) higher rate of ischemic stroke versus those living >400 m away. This association was more pronounced among noncurrent smokers (hazard ratio, 1.54; 95% confidence interval, 1.05-2.26) and not evident among smokers (hazard ratio, 0.69; 95% confidence interval, 0.23-2.06). There was no clear pattern of association between proximity to major roadways and other cardiovascular events including myocardial infarction, all-cause death, or vascular death. CONCLUSIONS In this urban multiethnic cohort, we found evidence supporting that within-city variation in residential proximity to major roadway is associated with higher risk of ischemic stroke. An individual's smoking history modified this association, with the association remaining only among participants not currently smokers.
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Affiliation(s)
- Erin R Kulick
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., M.S.E.) and Department of Neurology, College of Physicians and Surgeons (E.R.K., A.K.B., M.S.E.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (R.L.S.).
| | - Gregory A Wellenius
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., M.S.E.) and Department of Neurology, College of Physicians and Surgeons (E.R.K., A.K.B., M.S.E.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (R.L.S.)
| | - Amelia K Boehme
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., M.S.E.) and Department of Neurology, College of Physicians and Surgeons (E.R.K., A.K.B., M.S.E.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (R.L.S.)
| | - Ralph L Sacco
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., M.S.E.) and Department of Neurology, College of Physicians and Surgeons (E.R.K., A.K.B., M.S.E.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (R.L.S.)
| | - Mitchell S Elkind
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., A.K.B., M.S.E.) and Department of Neurology, College of Physicians and Surgeons (E.R.K., A.K.B., M.S.E.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (R.L.S.)
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16
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Brazienė A, Venclovienė J, Tamošiūnas A, Dėdelė A, Lukšienė D, Radišauskas R. The influence of proximity to city parks and major roads on the development of arterial hypertension. Scand J Public Health 2018; 46:667-674. [PMID: 29313461 DOI: 10.1177/1403494817751756] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
AIMS The aim of this study was to examine the relation between residential distance from major roads and city parks and the development of arterial hypertension. METHODS In this study, we used data of the population included in the MONICA survey (Lithuania). In total, 739 participants without arterial hypertension were selected for the present study. Poisson regression with robust variance estimation was used to evaluate the associations between distances from a major road and a city park expressed as categorical variables and the incidence of arterial hypertension, adjusting for individual risk factors. RESULTS For persons living at a distance of 151-300 m and > 300 m from city parks, relative risks were 1.49 (95% CI 1.03-2.15) and 1.51 (95% CI 1.10-2.07) respectively, as compared to a ≤ 150 m distance from city parks. For persons living further than 200 m away from a major road, the relative risk for the residential distance from city parks > 150 m was 2.36 ( p = 0.029) times higher, as compared to a ≤ 150 m distance from city parks. We found that an increased risk of arterial hypertension was associated with the distance from a city park > 350 m and the distance to a major road < 200 m (RR = 1.48, 95% CI 1.03-2.12) as compared to living ≤ 350 m to a city park and ≥ 200 m away from a major road. CONCLUSIONS An increase in the incidence of arterial hypertension was associated with a shorter distance to a major road and a greater distance to a city park. The effect modification of a shorter distance to a major road on the association between a greater distance to city parks and the incidence of arterial hypertension was identified.
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Affiliation(s)
- Agnė Brazienė
- 1 Institute of Cardiology, Lithuanian University of Health Sciences, Lithuania
| | - Jonė Venclovienė
- 1 Institute of Cardiology, Lithuanian University of Health Sciences, Lithuania.,2 Faculty of Natural Sciences, Department of Environmental Sciences, Vytautas Magnus University, Lithuania
| | - Abdonas Tamošiūnas
- 1 Institute of Cardiology, Lithuanian University of Health Sciences, Lithuania
| | - Audrius Dėdelė
- 2 Faculty of Natural Sciences, Department of Environmental Sciences, Vytautas Magnus University, Lithuania
| | - Dalia Lukšienė
- 1 Institute of Cardiology, Lithuanian University of Health Sciences, Lithuania
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17
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Pedde M, Szpiro AA, Adar SD. Traffic Congestion as a Risk Factor for Mortality in Near-Road Communities: A Case-Crossover Study. Am J Epidemiol 2017; 186:564-572. [PMID: 28520888 DOI: 10.1093/aje/kwx130] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Accepted: 10/10/2016] [Indexed: 11/14/2022] Open
Abstract
Existing epidemiologic research on traffic largely neglects localized fluctuations. We leveraged finely resolved congestion data to investigate short-term associations with mortality in communities near roadways. We identified all nonaccidental, cardiovascular, cerebrovascular, and respiratory deaths (2009-2013) within 1 km of a highway in the Puget Sound region of Washington State. Using a case-crossover design, we examined the association of congestion 0-150 m, 151-300 m, and 301-1,000 m upwind of a decedent's home with mortality, adjusting for meteorology, holidays, and influenza activity. Among 9,449 deaths, we observed higher odds of cerebrovascular and respiratory mortality with greater upwind congestion, especially congestion near the decedent's home. For each 10-minute-km increase in upwind congestion within 150 m, the odds of cerebrovascular mortality were 1.08 (95% confidence interval (CI): 0.88, 1.33); within 151-300 m, the odds of cerebrovascular mortality were 1.05 (95% CI: 0.98, 1.12) times higher. We observed similar patterns for respiratory mortality, with 1.06 (95% CI: 0.76, 1.50) times higher odds of death with greater upwind congestion within 150 m and 1.02 (95% CI: 0.95, 1.10) times higher odds within 151-300 m. No increased odds of mortality were observed at greater distances, for overall mortality, or with downwind congestion. Unexpectedly, lower odds of cardiovascular mortality were suggested with greater congestion. This work demonstrates the use of nontraditional data to characterize the impacts of near-road exposures.
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18
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Weaver AM, Wellenius GA, Wu WC, Hickson DA, Kamalesh M, Wang Y. Residential distance to major roadways and cardiac structure in African Americans: cross-sectional results from the Jackson Heart Study. Environ Health 2017; 16:21. [PMID: 28270143 PMCID: PMC5341411 DOI: 10.1186/s12940-017-0226-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 02/28/2017] [Indexed: 05/03/2023]
Abstract
BACKGROUND Heart failure (HF) is a significant source of morbidity and mortality among African Americans. Ambient air pollution, including from traffic, is associated with HF, but the mechanisms remain unknown. The objectives of this study were to estimate the cross-sectional associations between residential distance to major roadways with markers of cardiac structure: left ventricular (LV) mass index, LV end-diastolic diameter, LV end-systolic diameter, and LV hypertrophy among African Americans. METHODS We studied baseline participants of the Jackson Heart Study (recruited 2000-2004), a prospective cohort of cardiovascular disease (CVD) among African Americans living in Jackson, Mississippi, USA. All cardiac measures were assessed from echocardiograms. We assessed the associations between residential distance to roads and cardiac structure indicators using multivariable linear regression or multivariable logistic regression, adjusting for potential confounders. RESULTS Among 4826 participants, residential distance to road was <150 m for 103 participants, 150-299 m for 158, 300-999 for 1156, and ≥1000 m for 3409. Those who lived <150 m from a major road had mean 1.2 mm (95% CI 0.2, 2.1) greater LV diameter at end-systole compared to those who lived ≥1000 m. We did not observe statistically significant associations between distance to roads and LV mass index, LV end-diastolic diameter, or LV hypertrophy. Results did not materially change after additional adjustment for hypertension and diabetes or exclusion of those with CVD at baseline; results strengthened when modeling distance to A1 roads (such as interstate highways) as the exposure of interest. CONCLUSIONS We found that residential distance to roads may be associated with LV end-systolic diameter, a marker of systolic dysfunction, in this cohort of African Americans, suggesting a potential mechanism by which exposure to traffic pollution increases the risk of HF.
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Grants
- HHSN268201300049C National Heart, Lung, and Blood Institute
- HHSN268201300047C National Heart, Lung, and Blood Institute
- R01 ES020871 NIEHS NIH HHS
- HHSN268201300050C National Heart, Lung, and Blood Institute
- HHSN268201300048C National Heart, Lung, and Blood Institute
- R21 NR013231 National Institute of Nursing Research
- HHSN268201300046C National Heart, Lung, and Blood Institute
- National Heart, Lung, and Blood Institute (US); National Institute on Minority Health and Health Disparities (US)
- National Institute of Nursing Research (US); National Institute on Minority Health and Health Disparities (US)
- National Institute of Environmental Health Sciences
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Affiliation(s)
- Anne M. Weaver
- Richard M. Fairbanks School of Public Health, Indiana University, 1050 Wishard Blvd., RG 6082, Indianapolis, IN 46202 USA
| | - Gregory A. Wellenius
- The School of Public Health at Brown University, 121 South Main Street, Providence, RI 02903 USA
| | - Wen-Chih Wu
- The School of Public Health at Brown University, 121 South Main Street, Providence, RI 02903 USA
| | - DeMarc A. Hickson
- Jackson State University School of Public Health Initiative, 350 West Woodrow Wilson Drive, Jackson Medical Mall, Suite 320, Jackson, MS 39213 USA
| | - Masoor Kamalesh
- Department of Cardiology, Richard L. Roudebush VA Medical Center, 1481 W 10th St., Indianapolis, IN 46202 USA
| | - Yi Wang
- Richard M. Fairbanks School of Public Health, Indiana University, 1050 Wishard Blvd., RG 6082, Indianapolis, IN 46202 USA
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Mendola P, Sundaram R, Louis GMB, Sun L, Wallace ME, Smarr MM, Sherman S, Zhu Y, Ying Q, Liu D. Proximity to major roadways and prospectively-measured time-to-pregnancy and infertility. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 576:172-177. [PMID: 27783935 PMCID: PMC5164942 DOI: 10.1016/j.scitotenv.2016.10.038] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 09/26/2016] [Accepted: 10/05/2016] [Indexed: 05/22/2023]
Abstract
We aimed to study the potential impact of proximity to major roadways on time-to-pregnancy and infertility in couples attempting pregnancy in the Longitudinal Investigation of Fertility and Environment (LIFE) study (2005-2009), a population-based, prospective cohort study. Couples attempting pregnancy (n=500) were enrolled and followed prospectively until pregnancy or 12months of trying and 393 couples (78%) had complete data and full follow-up. Time-to-pregnancy was based on a standard protocol using fertility monitors, tracking estrone-3-glucuonide and luteinizing hormone, and pregnancy test kits to detect human chorionic gonadotropin (hCG). The fecundability odds ratio (FOR) and 95% confidence interval (CI) were estimated using proportional odds models. Infertility was defined as 12months of trying to conceive without an hCG pregnancy and the relative risk (RR) and 95% CI were estimated with log-binomial regression. Final models were adjusted for age, parity, study site, and salivary alpha-amylase, a stress marker. Infertile couples (53/393; 14%) tended to live closer to major roadways on average than fertile couples (689m vs. 843m, respectively) but the difference was not statistically significant. The likelihood of pregnancy was increased 3% for every 200m further away the couples residence was from a major roadway (FOR=1.03; CI=1.01-1.06). Infertility also appeared elevated at moderate distances compared to 1000m or greater, but estimates lacked precision. Our findings suggest that proximity to major roadways may be related to reductions in fecundity. Prospective data from larger populations is warranted to corroborate these findings.
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Affiliation(s)
- Pauline Mendola
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Division of Intramural Population Health Research, 6710B Rockledge Drive, MSC 7004, Bethesda, MD 20892, USA.
| | - Rajeshwari Sundaram
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Division of Intramural Population Health Research, 6710B Rockledge Drive, MSC 7004, Bethesda, MD 20892, USA
| | - Germaine M Buck Louis
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Division of Intramural Population Health Research, 6710B Rockledge Drive, MSC 7004, Bethesda, MD 20892, USA
| | - Liping Sun
- Glotech, Inc., 1801 Research Blvd # 605, Rockville, MD 20850, USA
| | - Maeve E Wallace
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Division of Intramural Population Health Research, 6710B Rockledge Drive, MSC 7004, Bethesda, MD 20892, USA
| | - Melissa M Smarr
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Division of Intramural Population Health Research, 6710B Rockledge Drive, MSC 7004, Bethesda, MD 20892, USA
| | - Seth Sherman
- Emmes Corporation, 401 N. Washington Street #700, Rockville, MD 20850, USA
| | - Yeyi Zhu
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Division of Intramural Population Health Research, 6710B Rockledge Drive, MSC 7004, Bethesda, MD 20892, USA
| | - Qi Ying
- Texas A&M University, 401 Joe Routt Blvd., College Station, TX 77843, USA
| | - Danping Liu
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Division of Intramural Population Health Research, 6710B Rockledge Drive, MSC 7004, Bethesda, MD 20892, USA
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Crichton S, Barratt B, Spiridou A, Hoang U, Liang SF, Kovalchuk Y, Beevers SD, Kelly FJ, Delaney B, Wolfe CDA. Associations between exhaust and non-exhaust particulate matter and stroke incidence by stroke subtype in South London. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 568:278-284. [PMID: 27295599 DOI: 10.1016/j.scitotenv.2016.06.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Revised: 05/27/2016] [Accepted: 06/03/2016] [Indexed: 05/20/2023]
Abstract
BACKGROUND Airborne particulate matter (PM) consists of particles from diverse sources, including vehicle exhausts. Associations between short-term PM changes and stroke incidence have been shown. Cumulative exposures over several months, or years, are less well studied; few studies examined ischaemic subtypes or PM source. AIMS This study combines a high resolution urban air quality model with a population-based stroke register to explore associations between long-term exposure to PM and stroke incidence. METHOD Data from the South London Stroke Register from 2005-2012 were included. Poisson regression explored association between stroke incidence and long-term (averaged across the study period) exposure to PM2.5(PM<2.5μm diameter) and PM10(PM<10μm), nitric oxide, nitrogen dioxide, nitrogen oxides and ozone, at the output area level (average population=309). Estimates were standardised for age and sex and adjusted for socio-economic deprivation. Models were stratified for ischaemic and haemorrhagic strokes and further broken down by Oxford Community Stroke Project classification and Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification. RESULTS 1800 strokes were recorded (incidence=42.6/100,000 person-years). No associations were observed between PM and overall ischaemic or haemorrhagic incidence. For an interquartile range increase in PM2.5, there was a 23% increase in incidence (Incidence rate ratio=1.23 (95%CI: 1.03-1.44)) of total anterior circulation infarcts (TACI) and 20% increase for PM2.5 from exhausts (1.20(1.01-1.41)). There were similar associations with PM10, overall (1.21(1.01-1.44)) and from exhausts (1.20(1.01-1.41)). TACI incidence was not associated with non-exhaust sources. There were no associations with other stroke subtypes or pollutants. CONCLUSION Outdoor air pollution, particularly that arising from vehicle exhausts, may increase risk of TACI but not other stroke subtypes.
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Affiliation(s)
- Siobhan Crichton
- Division of Health and Social Care Research, King's College London, London, UK; National Institute of Health Research Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, London, UK
| | - Benjamin Barratt
- Analytical and Environmental Sciences Division and MRC-PHE Centre for Environment and Health, King's College London, UK; NIHR Biomedical Research Centre, Guy's & St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Anastassia Spiridou
- NIHR Biomedical Research Centre, Guy's & St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Uy Hoang
- Division of Health and Social Care Research, King's College London, London, UK; National Institute of Health Research Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, London, UK; NIHR Biomedical Research Centre, Guy's & St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Shao Fen Liang
- Division of Health and Social Care Research, King's College London, London, UK; NIHR Biomedical Research Centre, Guy's & St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Yevgeniya Kovalchuk
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia, King's College London, UK
| | - Sean D Beevers
- Analytical and Environmental Sciences Division and MRC-PHE Centre for Environment and Health, King's College London, UK
| | - Frank J Kelly
- Analytical and Environmental Sciences Division and MRC-PHE Centre for Environment and Health, King's College London, UK; NIHR Biomedical Research Centre, Guy's & St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Brendan Delaney
- Department of Cancer and Surgery, Imperial College, London, UK
| | - Charles DA Wolfe
- Division of Health and Social Care Research, King's College London, London, UK; National Institute of Health Research Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, London, UK; NIHR Biomedical Research Centre, Guy's & St. Thomas' NHS Foundation Trust and King's College London, London, UK
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21
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Maheswaran R. Air pollution and stroke - an overview of the evidence base. Spat Spatiotemporal Epidemiol 2016; 18:74-81. [PMID: 27494962 DOI: 10.1016/j.sste.2016.04.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Revised: 03/31/2016] [Accepted: 04/05/2016] [Indexed: 10/21/2022]
Abstract
Air pollution is being increasingly recognized as a significant risk factor for stroke. There are numerous sources of air pollution including industry, road transport and domestic use of biomass and solid fuels. Early reports of the association between air pollution and stroke come from studies investigating health effects of severe pollution episodes. Several daily time series and case-crossover studies have reported associations with stroke. There is also evidence linking chronic air pollution exposure with stroke and with reduced survival after stroke. A conceptual framework linking air pollution exposure and stroke is proposed. It links acute and chronic exposure to air pollution with pathways to acute and chronic effects on stroke risk. Current evidence regarding potential mechanisms mainly relate to particulate air pollution. Whilst further evidence would be useful, there is already sufficient evidence to support consideration of reduction in air pollution as a preventative measure to reduce the stroke burden globally.
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Affiliation(s)
- Ravi Maheswaran
- Public Health GIS Unit, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield S1 4DA, UK.
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22
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Scheers H, Jacobs L, Casas L, Nemery B, Nawrot TS. Long-Term Exposure to Particulate Matter Air Pollution Is a Risk Factor for Stroke. Stroke 2015; 46:3058-66. [DOI: 10.1161/strokeaha.115.009913] [Citation(s) in RCA: 109] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Accepted: 09/11/2015] [Indexed: 12/25/2022]
Affiliation(s)
- Hans Scheers
- From the Environmental Health Unit, Department of Public Health and Primary Care (H.S., L.C., B.N., T.S.N.) and Hypertension and Cardiovascular Epidemiology Unit, Department of Cardiovascular Sciences (L.J.), KULeuven, Leuven, Belgium; and Centre for Environmental Sciences, UHasselt, Hasselt, Belgium (T.S.N.)
| | - Lotte Jacobs
- From the Environmental Health Unit, Department of Public Health and Primary Care (H.S., L.C., B.N., T.S.N.) and Hypertension and Cardiovascular Epidemiology Unit, Department of Cardiovascular Sciences (L.J.), KULeuven, Leuven, Belgium; and Centre for Environmental Sciences, UHasselt, Hasselt, Belgium (T.S.N.)
| | - Lidia Casas
- From the Environmental Health Unit, Department of Public Health and Primary Care (H.S., L.C., B.N., T.S.N.) and Hypertension and Cardiovascular Epidemiology Unit, Department of Cardiovascular Sciences (L.J.), KULeuven, Leuven, Belgium; and Centre for Environmental Sciences, UHasselt, Hasselt, Belgium (T.S.N.)
| | - Benoit Nemery
- From the Environmental Health Unit, Department of Public Health and Primary Care (H.S., L.C., B.N., T.S.N.) and Hypertension and Cardiovascular Epidemiology Unit, Department of Cardiovascular Sciences (L.J.), KULeuven, Leuven, Belgium; and Centre for Environmental Sciences, UHasselt, Hasselt, Belgium (T.S.N.)
| | - Tim S. Nawrot
- From the Environmental Health Unit, Department of Public Health and Primary Care (H.S., L.C., B.N., T.S.N.) and Hypertension and Cardiovascular Epidemiology Unit, Department of Cardiovascular Sciences (L.J.), KULeuven, Leuven, Belgium; and Centre for Environmental Sciences, UHasselt, Hasselt, Belgium (T.S.N.)
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23
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Kingsley SL, Eliot MN, Whitsel EA, Wang Y, Coull BA, Hou L, Margolis HG, Margolis KL, Mu L, Wu WCC, Johnson KC, Allison MA, Manson JE, Eaton CB, Wellenius GA. Residential proximity to major roadways and incident hypertension in post-menopausal women. ENVIRONMENTAL RESEARCH 2015; 142:522-8. [PMID: 26282224 PMCID: PMC4609282 DOI: 10.1016/j.envres.2015.08.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 07/30/2015] [Accepted: 08/05/2015] [Indexed: 05/07/2023]
Abstract
Living near major roadways has been associated with increased risk of cardiovascular morbidity and mortality, presumably from exposure to elevated levels of traffic-related air and/or noise pollution. This association may potentially be mediated through increased risk of incident hypertension, but results from prior studies are equivocal. Using Cox proportional hazards models we examined residential proximity to major roadways and incident hypertension among 38,360 participants of the Women's Health Initiative (WHI) Clinical Trial cohorts free of hypertension at enrollment and followed for a median of 7.9 years. Adjusting for participant demographics and lifestyle, trial participation, and markers of individual and neighborhood socioeconomic status, the hazard ratios for incident hypertension were 1.13 (95% CI: 1.00, 1.28), 1.03 (0.95, 1.11), 1.05 (0.99, 1.11), and 1.05 (1.00, 1.10) for participants living ≤50, >50-200, >200-400, and >400-1000 m vs >1000 m from the nearest major roadway, respectively (ptrend=0.013). This association varied substantially by WHI study region with hazard ratios for women living ≤50 m from a major roadway of 1.61 (1.18, 2.20) in the West, 1.51 (1.22, 1.87) in the Northeast, 0.89 (0.70, 1.14) in the South, and 0.94 (0.75, 1.19) in the Midwest. In this large, national cohort of post-menopausal women, residential proximity to major roadways was associated with incident hypertension in selected regions of the U.S. If causal, these results suggest residential proximity to major roadways, as a marker for air, noise and other traffic-related pollution, may be a risk factor for hypertension.
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Affiliation(s)
- Samantha L Kingsley
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Melissa N Eliot
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, NC, USA
| | - Yi Wang
- Department of Environmental Health Sciences, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Helene G Margolis
- Department of Internal Medicine, School of Medicine, University of California, Davis, CA, USA
| | - Karen L Margolis
- Health Partners Institute for Education and Research, Minneapolis, MN, USA
| | - Lina Mu
- Department of Social and Preventive Medicine, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY, USA
| | - Wen-Chih C Wu
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Karen C Johnson
- Department of Preventive Medicine, University of Tennessee Health Sciences Center, Memphis, TN, USA
| | - Matthew A Allison
- Department of Family and Preventive Medicine, University of California San Diego School of Medicine, San Diego, CA, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Charles B Eaton
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Memorial Hospital of Rhode Island, Pawtucket, RI, USA
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
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24
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DeJarnett N, Yeager R, Conklin DJ, Lee J, O'Toole TE, McCracken J, Abplanalp W, Srivastava S, Riggs DW, Hamzeh I, Wagner S, Chugh A, DeFilippis A, Ciszewski T, Wyatt B, Becher C, Higdon D, Ramos KS, Tollerud DJ, Myers JA, Rai SN, Shah J, Zafar N, Krishnasamy SS, Prabhu SD, Bhatnagar A. Residential Proximity to Major Roadways Is Associated With Increased Levels of AC133+ Circulating Angiogenic Cells. Arterioscler Thromb Vasc Biol 2015; 35:2468-77. [PMID: 26293462 DOI: 10.1161/atvbaha.115.305724] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Accepted: 08/04/2015] [Indexed: 01/21/2023]
Abstract
OBJECTIVES Previous studies have shown that residential proximity to a roadway is associated with increased cardiovascular disease risk. Yet, the nature of this association remains unclear, and its effect on individual cardiovascular disease risk factors has not been assessed. The objective of this study was to determine whether residential proximity to roadways influences systemic inflammation and the levels of circulating angiogenic cells. APPROACH AND RESULTS In a cross-sectional study, cardiovascular disease risk factors, blood levels of C-reactive protein, and 15 antigenically defined circulating angiogenic cell populations were measured in participants (n=316) with moderate-to-high cardiovascular disease risk. Attributes of roadways surrounding residential locations were assessed using geographic information systems. Associations between road proximity and cardiovascular indices were analyzed using generalized linear models. Close proximity (<50 m) to a major roadway was associated with lower income and higher rates of smoking but not C-reactive protein levels. After adjustment for potential confounders, the levels of circulating angiogenic cells in peripheral blood were significantly elevated in people living in close proximity to a major roadway (CD31(+)/AC133(+), AC133(+), CD34(+)/AC133(+), and CD34(+)/45(dim)/AC133(+) cells) and positively associated with road segment distance (CD31(+)/AC133(+), AC133(+), and CD34(+)/AC133(+) cells), traffic intensity (CD31(+)/AC133(+) and AC133(+) cells), and distance-weighted traffic intensity (CD31(+)/34(+)/45(+)/AC133(+) cells). CONCLUSIONS Living close to a major roadway is associated with elevated levels of circulating cells positive for the early stem marker AC133(+). This may reflect an increased need for vascular repair. Levels of these cells in peripheral blood may be a sensitive index of cardiovascular injury because of residential proximity to roadways.
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Affiliation(s)
- Natasha DeJarnett
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Ray Yeager
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Daniel J Conklin
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Jongmin Lee
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Timothy E O'Toole
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - James McCracken
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Wes Abplanalp
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Sanjay Srivastava
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Daniel W Riggs
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Ihab Hamzeh
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Stephen Wagner
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Atul Chugh
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Andrew DeFilippis
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Tiffany Ciszewski
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Brad Wyatt
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Carrie Becher
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Deirdre Higdon
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Kenneth S Ramos
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - David J Tollerud
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - John A Myers
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Shesh N Rai
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Jasmit Shah
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Nagma Zafar
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Sathya S Krishnasamy
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Sumanth D Prabhu
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
| | - Aruni Bhatnagar
- From the Diabetes and Obesity Center (N.D., R.Y., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., A.C., A.D., T.C., B.W., S.N.R., J.S., N.Z., S.S.K., A.B.), Department of Environmental and Occupational Health Sciences (N.D., R.Y., D.J.T.), Institute of Molecular Cardiology (N.D., D.J.C., J.L., T.E.O., J.M., W.A., S.S., D.W.R., S.W., A.C., A.D., T.C., B.W., C.B., D.H., J.S., S.D.P., A.B.), Department of Pediatrics (J.A.M.), Department of Bioinformatics and Biostatics (S.N.R.), Biostatistics Shared Facility, JG Brown Cancer Center (S.N.R.), Division of Endocrinology, Metabolism and Diabetes, Department of Medicine (S.S.K.), and Department of Biochemistry and Molecular Biology (K.S.R., A.B.), University of Louisville, KY; Division of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX (I.H.); Department of Medicine, Johns Hopkins University, Baltimore, MD (A.D.); and Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham (S.D.P.)
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Weinreich G, Wessendorf TE, Pundt N, Weinmayr G, Hennig F, Moebus S, Möhlenkamp S, Erbel R, Jöckel KH, Teschler H, Hoffmann B. Association of short-term ozone and temperature with sleep disordered breathing. Eur Respir J 2015; 46:1361-9. [PMID: 26160864 DOI: 10.1183/13993003.02255-2014] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Accepted: 05/15/2015] [Indexed: 11/05/2022]
Abstract
Scarce evidence suggests that ambient air pollution and temperature might play a role in incidence and severity of sleep disordered breathing (SDB). We investigated the association of short-term exposure to fine particulate matter (particles with a 50% cut-off aerodynamic diameter of 10 μm (PM10)), ozone and temperature with SDB in the general population. Between 2006 and 2008, 1773 participants (aged 50-80 years) of the Heinz Nixdorf Recall study underwent screening for SDB, as defined by the apnoea-hypopnoea index (AHI). We assessed daily exposure to PM10, ozone, temperature and humidity. We used multiple linear regression to estimate associations of daily PM10, ozone levels and temperature on the day of screening, adjusting for relative humidity, season, age, sex, body mass index, education, smoking habits, alcohol consumption and physical activity. In the study population, the mean±sd AHI was 11.2±11.4 events·h(-1). Over all seasons, an interquartile range increase in temperature (8.6°C) and ozone (39.5 µg·m(-3)) was associated with a 10.2% (95% CI 1.2-20.0%) and 10.1% (95% CI 2.0-18.9%) increase in AHI, respectively. Associations for temperature were stronger in summer, yielding a 32.4% (95% CI 0.0-75.3%) increase in AHI per 8.6°C (p-value for season-temperature interaction 0.08). We observed that AHI was not associated with PM10. This study suggests that short-term variations in ozone concentration and temperature are associated with SDB.
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Affiliation(s)
- Gerhard Weinreich
- Dept of Pneumology, Ruhrlandklinik, West German Lung Center, University Hospital Essen, University-Duisburg Essen, Essen, Germany
| | - Thomas E Wessendorf
- Dept of Pneumology, Ruhrlandklinik, West German Lung Center, University Hospital Essen, University-Duisburg Essen, Essen, Germany
| | - Noreen Pundt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Gudrun Weinmayr
- IUF Leibniz Research Institute of Environmental Medicine at the University of Düsseldorf, Düsseldorf, Germany
| | - Frauke Hennig
- IUF Leibniz Research Institute of Environmental Medicine at the University of Düsseldorf, Düsseldorf, Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Stefan Möhlenkamp
- Clinic of Cardiology, Stiftung Krankenhaus Bethanien, Moers, Germany
| | - Raimund Erbel
- Clinic of Cardiology, West German Heart Center Essen, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Helmut Teschler
- Dept of Pneumology, Ruhrlandklinik, West German Lung Center, University Hospital Essen, University-Duisburg Essen, Essen, Germany
| | - Barbara Hoffmann
- IUF Leibniz Research Institute of Environmental Medicine at the University of Düsseldorf, Düsseldorf, Germany Medical Faculty, Heinrich-Heine University of Düsseldorf, Düsseldorf, Germany
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Affiliation(s)
- Petter L Ljungman
- From the Department of Medicine Cardiovascular Epidemiology Research Unit, Cardiovascular Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (P.L.L., M.A.M.); and Unit of Environmental Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (P.L.L.)
| | - Murray A Mittleman
- From the Department of Medicine Cardiovascular Epidemiology Research Unit, Cardiovascular Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (P.L.L., M.A.M.); and Unit of Environmental Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (P.L.L.).
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Kirwa K, Eliot MN, Wang Y, Adams MA, Morgan CG, Kerr J, Norman GJ, Eaton CB, Allison MA, Wellenius GA. Residential proximity to major roadways and prevalent hypertension among postmenopausal women: results from the Women's Health Initiative San Diego Cohort. J Am Heart Assoc 2014; 3:e000727. [PMID: 25274494 PMCID: PMC4323802 DOI: 10.1161/jaha.113.000727] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Accepted: 09/02/2014] [Indexed: 12/16/2022]
Abstract
BACKGROUND Living near major roadways has been linked with increased risk of cardiovascular events and worse prognosis. Residential proximity to major roadways may also be associated with increased risk of hypertension, but few studies have evaluated this hypothesis. METHODS AND RESULTS We examined the cross-sectional association between residential proximity to major roadways and prevalent hypertension among 5401 postmenopausal women enrolled into the San Diego cohort of the Women's Health Initiative. We used modified Poisson regression with robust error variance to estimate the association between prevalence of hypertension and residential distance to nearest major roadway, adjusting for participant demographics, medical history, indicators of individual and neighborhood socioeconomic status, and for local supermarket/grocery and fast food/convenience store density. The adjusted prevalence ratios for hypertension were 1.22 (95% CI: 1.07, 1.39), 1.13 (1.00, 1.27), and 1.05 (0.99, 1.12) for women living ≤100, >100 to 200, and >200 to 1000 versus >1000 m from a major roadway (P for trend=0.006). In a model treating the natural log of distance to major roadway as a continuous variable, a shift in distance from 1000 to 100 m from a major roadway was associated with a 9% (3%, 16%) higher prevalence of hypertension. CONCLUSIONS In this cohort of postmenopausal women, residential proximity to major roadways was positively associated with the prevalence of hypertension. If causal, these results suggest that living close to major roadways may be an important novel risk factor for hypertension.
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Affiliation(s)
- Kipruto Kirwa
- Department of Epidemiology, Brown University School of Public Health, Providence, RI (K.K., M.N.E., Y.W., C.B.E., G.A.W.)
- Department of Epidemiology and Nutrition, Moi University School of Public Health, Eldoret, Kenya (K.K.)
| | - Melissa N. Eliot
- Department of Epidemiology, Brown University School of Public Health, Providence, RI (K.K., M.N.E., Y.W., C.B.E., G.A.W.)
| | - Yi Wang
- Department of Epidemiology, Brown University School of Public Health, Providence, RI (K.K., M.N.E., Y.W., C.B.E., G.A.W.)
| | - Marc A. Adams
- Exercise and Wellness Program, School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ (M.A.A.)
| | - Cindy G. Morgan
- Department of Family and Preventive Medicine, University of California, San Diego, CA (C.G.M., J.K., G.J.N., M.A.A.)
| | - Jacqueline Kerr
- Department of Family and Preventive Medicine, University of California, San Diego, CA (C.G.M., J.K., G.J.N., M.A.A.)
| | - Gregory J. Norman
- Department of Family and Preventive Medicine, University of California, San Diego, CA (C.G.M., J.K., G.J.N., M.A.A.)
| | - Charles B. Eaton
- Department of Epidemiology, Brown University School of Public Health, Providence, RI (K.K., M.N.E., Y.W., C.B.E., G.A.W.)
| | - Matthew A. Allison
- Department of Family and Preventive Medicine, University of California, San Diego, CA (C.G.M., J.K., G.J.N., M.A.A.)
| | - Gregory A. Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, RI (K.K., M.N.E., Y.W., C.B.E., G.A.W.)
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Li L, Losser T, Yorke C, Piltner R. Fast inverse distance weighting-based spatiotemporal interpolation: a web-based application of interpolating daily fine particulate matter PM2:5 in the contiguous U.S. using parallel programming and k-d tree. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2014; 11:9101-41. [PMID: 25192146 PMCID: PMC4199009 DOI: 10.3390/ijerph110909101] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Revised: 08/18/2014] [Accepted: 08/18/2014] [Indexed: 11/30/2022]
Abstract
Epidemiological studies have identified associations between mortality and changes in concentration of particulate matter. These studies have highlighted the public concerns about health effects of particulate air pollution. Modeling fine particulate matter PM2.5 exposure risk and monitoring day-to-day changes in PM2.5 concentration is a critical step for understanding the pollution problem and embarking on the necessary remedy. This research designs, implements and compares two inverse distance weighting (IDW)-based spatiotemporal interpolation methods, in order to assess the trend of daily PM2.5 concentration for the contiguous United States over the year of 2009, at both the census block group level and county level. Traditionally, when handling spatiotemporal interpolation, researchers tend to treat space and time separately and reduce the spatiotemporal interpolation problems to a sequence of snapshots of spatial interpolations. In this paper, PM2.5 data interpolation is conducted in the continuous space-time domain by integrating space and time simultaneously, using the so-called extension approach. Time values are calculated with the help of a factor under the assumption that spatial and temporal dimensions are equally important when interpolating a continuous changing phenomenon in the space-time domain. Various IDW-based spatiotemporal interpolation methods with different parameter configurations are evaluated by cross-validation. In addition, this study explores computational issues (computer processing speed) faced during implementation of spatiotemporal interpolation for huge data sets. Parallel programming techniques and an advanced data structure, named k-d tree, are adapted in this paper to address the computational challenges. Significant computational improvement has been achieved. Finally, a web-based spatiotemporal IDW-based interpolation application is designed and implemented where users can visualize and animate spatiotemporal interpolation results.
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Affiliation(s)
- Lixin Li
- Department of Computer Sciences, Georgia Southern University, Statesboro, GA 30460, USA.
| | - Travis Losser
- Department of Computer Sciences, Georgia Southern University, Statesboro, GA 30460, USA.
| | - Charles Yorke
- Department of Geosciences, Murray State University, Murray, KY 42071, USA.
| | - Reinhard Piltner
- Department of Mathematical Sciences, Georgia Southern University, Statesboro, GA 30460, USA.
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Goeminne PC, Bijnens E, Nemery B, Nawrot TS, Dupont LJ. Impact of traffic related air pollution indicators on non-cystic fibrosis bronchiectasis mortality: a cohort analysis. Respir Res 2014; 15:108. [PMID: 25183428 PMCID: PMC4156957 DOI: 10.1186/s12931-014-0108-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Accepted: 08/25/2014] [Indexed: 11/18/2022] Open
Abstract
Background Mortality in non-cystic fibrosis bronchiectasis (NCFB) is known to be influenced by a number of factors such as gender, age, smoking history and Pseudomonas aeruginosa, but the impact of traffic related air pollution indicators on NCFB mortality is unknown. Methods We followed 183 patients aged 18 to 65 years with a HRCT proven diagnosis of NCFB and typical symptoms, who had visited the outpatient clinic at the University Hospital of Leuven, Belgium, between June 2006 and October 2012. We estimated hazard ratios (HR) for mortality in relation to proximity of the home to major roads and traffic load, adjusting for relevant covariables (age, gender, disease severity, chronic macrolide use, smoking history, socioeconomic status and Pseudomonas aeruginosa colonization status). Results Fifteen out of the 183 included patients died during the observation period. Residential proximity to a major road was associated with the risk of dying with a HR 0.28 (CI 95% 0.10-0.77; p = 0.013) for a tenfold increase in distance to a major road. Mortality was also associated with distance-weighted traffic density within 100 meters (HR for each tenfold increase in traffic density 3.80; CI 95% 1.07-13.51; p = 0.04) and 200 meters from the patient’s home address (HR for each tenfold increase in traffic density 4.14; CI 95% 1.13-15.22; p = 0.032). Conclusion Traffic-related air pollution appears to increase the risk of dying in patients with NCFB. Trial registration The study was approved by the local ethical committee of the UZ Leuven, Belgium (ML-5028), registered at ClinicalTrial.gov (NCT01906047).
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Affiliation(s)
- Pieter C Goeminne
- Department of Respiratory Disease, University Hospital of Leuven, Herestraat 49, Leuven, B-3000, Belgium.
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Maheswaran R, Pearson T, Beevers SD, Campbell MJ, Wolfe CD. Outdoor air pollution, subtypes and severity of ischemic stroke--a small-area level ecological study. Int J Health Geogr 2014; 13:23. [PMID: 24939673 PMCID: PMC4070355 DOI: 10.1186/1476-072x-13-23] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Accepted: 06/08/2014] [Indexed: 12/24/2022] Open
Abstract
Background Evidence linking outdoor air pollution and incidence of ischemic stroke subtypes and severity is limited. We examined associations between outdoor PM10 and NO2 concentrations modeled at a fine spatial resolution and etiological and clinical ischemic stroke subtypes and severity of ischemic stroke. Methods We used a small-area level ecological study design and a stroke register set up to capture all incident cases of first ever stroke (1995–2007) occurring in a defined geographical area in South London (948 census output areas; population of 267839). Modeled PM10 and NO2 concentrations were available at a very fine spatial scale (20 meter by 20 meter grid point resolution) and were aggregated to output area level using postcode population weighted averages. Ischemic stroke was classified using the Oxford clinical classification, the Trial of Org 10172 in Acute Stroke Treatment (TOAST) etiological classification, National Institutes of Health Stroke Scale (NIHSS) score and a pragmatic clinical severity classification based on Glasgow coma score, ability to swallow, urinary continence and death <2 days of stroke onset. Results Mean (SD) concentrations were 25.1 (1.2) ug/m3 (range 23.3-36.4) for PM10 and 41.4 (3.0) ug/m3 (range 35.4-68.0) for NO2. There were 2492 incident cases of ischemic stroke. We found no evidence of association between these pollutants and the incidence of ischemic stroke subtypes classified using the Oxford and TOAST classifications. We found no significant association with stroke severity using NIHSS severity categories. However, we found that outdoor concentrations of both PM10 and NO2 appeared to be associated with increased incidence of mild but not severe ischemic stroke, classified using the pragmatic clinical severity classification. For mild ischemic stroke, the rate ratio in the highest PM10 category by tertile was 1.20 (1.05-1.38) relative to the lowest category. The rate ratio in the highest NO2 category was 1.22 (1.06-1.40) relative to the lowest category. Conclusions We found no evidence of association between outdoor PM10 and NO2 concentrations and ischemic stroke subtypes but there was a suggestion that living in areas with elevated outdoor PM10 and NO2 concentrations might be associated with increased incidence of mild, but not severe, ischemic stroke.
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Affiliation(s)
- Ravi Maheswaran
- Public Health GIS Unit, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield S1 4DA, UK.
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Lue SH, Wellenius GA, Wilker EH, Mostofsky E, Mittleman MA. Residential proximity to major roadways and renal function. J Epidemiol Community Health 2013; 67:629-34. [PMID: 23669275 PMCID: PMC4167787 DOI: 10.1136/jech-2012-202307] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Living near major roadways has been associated with increased risk of cardiovascular events, but little is known about its impact on renal function. METHODS We calculated the estimated glomerular filtration rate (eGFR) for 1103 consecutive Boston-area patients hospitalised with confirmed acute ischaemic stroke between 1999 and 2004. We used linear regression to evaluate the association between eGFR and categories of residential distance to major roadway (0 to ≤50, >50 to ≤100, >100 to ≤200, >200 to ≤400, >400 to ≤1000 and >1000 m) adjusting for age, sex, race, smoking, comorbid conditions, treatment with ACE inhibitor and neighbourhood-level socioeconomic characteristics. In a second analysis, we considered the log of distance to major roadway as a continuous variable. RESULTS Patients living closer to a major roadway had lower eGFR than patients living farther away (Ptrend=0.01). Comparing patients living 50 m versus 1000 m from a major roadway was associated with a 3.9 ml/min/1.73 m(2) lower eGFR (95% CI 1.0 to 6.7; p=0.007): a difference comparable in magnitude to the reduction in eGFR observed for a 4-year increase in age in population-based studies. The magnitude of this association did not differ significantly across categories of age, sex, race, history of hypertension, diabetes or socioeconomic status. CONCLUSIONS Living near a major roadway is associated with lower eGFR in a cohort of patients presenting with acute ischaemic stroke. If causal, these results imply that exposures associated with living near a major roadway contribute to reduced renal function, an important risk factor for cardiovascular events.
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Affiliation(s)
- Shih-Ho Lue
- Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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Cardiovascular health, traffic-related air pollution and noise: are associations mutually confounded? A systematic review. Int J Public Health 2013; 58:649-66. [PMID: 23887610 PMCID: PMC3907786 DOI: 10.1007/s00038-013-0489-7] [Citation(s) in RCA: 116] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2013] [Revised: 06/25/2013] [Accepted: 06/27/2013] [Indexed: 11/30/2022] Open
Abstract
Objectives This review assessed the confounding effect of one traffic-related exposure (noise or air pollutants) on the association between the other exposure and cardiovascular outcomes. Methods A systematic review was conducted with the databases Medline and Embase. The confounding effects in studies were assessed by using change in the estimate with a 10 % cutoff point. The influence on the change in the estimate of the quality of the studies, the exposure assessment methods and the correlation between road noise and air pollutions were also assessed. Results Nine publications were identified. For most studies, the specified confounders produced changes in estimates <10 %. The correlation between noise and pollutants, the quality of the study and of the exposure assessment do not seem to influence the confounding effects. Conclusions Results from this review suggest that confounding of cardiovascular effects by noise or air pollutants is low, though with further improvements in exposure assessment, the situation may change. More studies using pollution indicators specific to road traffic are needed to properly assess if noise and air pollution are subjected to confounding.
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Hoek G, Krishnan RM, Beelen R, Peters A, Ostro B, Brunekreef B, Kaufman JD. Long-term air pollution exposure and cardio- respiratory mortality: a review. Environ Health 2013; 12:43. [PMID: 23714370 PMCID: PMC3679821 DOI: 10.1186/1476-069x-12-43] [Citation(s) in RCA: 951] [Impact Index Per Article: 86.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Accepted: 04/02/2013] [Indexed: 05/17/2023]
Abstract
Current day concentrations of ambient air pollution have been associated with a range of adverse health effects, particularly mortality and morbidity due to cardiovascular and respiratory diseases. In this review, we summarize the evidence from epidemiological studies on long-term exposure to fine and coarse particles, nitrogen dioxide (NO2) and elemental carbon on mortality from all-causes, cardiovascular disease and respiratory disease. We also summarize the findings on potentially susceptible subgroups across studies. We identified studies through a search in the databases Medline and Scopus and previous reviews until January 2013 and performed a meta-analysis if more than five studies were available for the same exposure metric.
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Affiliation(s)
- Gerard Hoek
- Institute of Risk Assessment Sciences, University of Utrecht, Utrecht, The Netherlands
| | | | - Rob Beelen
- Institute of Risk Assessment Sciences, University of Utrecht, Utrecht, The Netherlands
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München –German Research Center for Environmental Health, Neuherberg, Germany
| | - Bart Ostro
- Air Pollution Epidemiology Section, Office of Environmental Health Hazard Assessment, State of California, Oakland, CA, USA
| | - Bert Brunekreef
- Institute of Risk Assessment Sciences, University of Utrecht, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
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Vette A, Burke J, Norris G, Landis M, Batterman S, Breen M, Isakov V, Lewis T, Gilmour MI, Kamal A, Hammond D, Vedantham R, Bereznicki S, Tian N, Croghan C. The Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS): study design and methods. THE SCIENCE OF THE TOTAL ENVIRONMENT 2013; 448:38-47. [PMID: 23149275 PMCID: PMC4243518 DOI: 10.1016/j.scitotenv.2012.10.072] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2012] [Revised: 10/18/2012] [Accepted: 10/18/2012] [Indexed: 05/19/2023]
Abstract
The Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS) was designed to examine the relationship between near-roadway exposures to air pollutants and respiratory outcomes in a cohort of asthmatic children who live close to major roadways in Detroit, Michigan USA. From September 2010 to December 2012 a total of 139 children with asthma, ages 6-14, were enrolled in the study on the basis of the proximity of their home to major roadways that carried different amounts of diesel traffic. The goal of the study was to investigate the effects of traffic-associated exposures on adverse respiratory outcomes, biomolecular markers of inflammatory and oxidative stress, and how these exposures affect the frequency and severity of respiratory viral infections in a cohort of children with asthma. An integrated measurement and modeling approach was used to quantitatively estimate the contribution of traffic sources to near-roadway air pollution and evaluate predictive models for assessing the impact of near-roadway pollution on children's exposures. Two intensive field campaigns were conducted in Fall 2010 and Spring 2011 to measure a suite of air pollutants including PM2.5 mass and composition, oxides of nitrogen (NO and NO2), carbon monoxide, and black carbon indoors and outdoors of 25 participants' homes, at two area schools, and along a spatial transect adjacent to I-96, a major highway in Detroit. These data were used to evaluate and refine models to estimate air quality and exposures for each child on a daily basis for the health analyses. The study design and methods are described, and selected measurement results from the Fall 2010 field intensive are presented to illustrate the design and successful implementation of the study. These data provide evidence of roadway impacts and exposure variability between study participants that will be further explored for associations with the health measures.
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Affiliation(s)
- Alan Vette
- United States Environmental Protection Agency, National Exposure Research Laboratory, 109 TW Alexander Dr., RTP, NC 27711, USA.
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Angkurawaranon C, Wattanatchariya N, Doyle P, Nitsch D. Urbanization and Non-communicable disease mortality in Thailand: an ecological correlation study. Trop Med Int Health 2012; 18:130-40. [DOI: 10.1111/tmi.12038] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | | | - Pat Doyle
- London School of Hygiene and Tropical Medicine; London; UK
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Wellenius GA, Boyle LD, Coull BA, Milberg WP, Gryparis A, Schwartz J, Mittleman MA, Lipsitz LA. Residential proximity to nearest major roadway and cognitive function in community-dwelling seniors: results from the MOBILIZE Boston Study. J Am Geriatr Soc 2012; 60:2075-80. [PMID: 23126566 DOI: 10.1111/j.1532-5415.2012.04195.x] [Citation(s) in RCA: 99] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To evaluate the association between residential distance to nearest major roadway, as a marker of long-term exposure to traffic pollution, and cognitive function in older adults. DESIGN Prospective cohort study with median follow-up of 16.8 months. SETTING Community. PARTICIPANTS Seven hundred sixty-five community-dwelling seniors. MEASUREMENTS The Mini-Mental State Examination, Hopkins Verbal Learning Test-Revised (HVLT-R), Trail Making Test (TMT), category and letter fluency tests, and Clock-in-the-Box Test were administered during home visits on two occasions. The residential distance to the nearest major roadway was calculated, and generalized estimating equations were used to evaluate the association between performance on each test and residential distance to nearest major roadway, adjusting for participant demographics, education, socioeconomic status, and past medical history. RESULTS Shorter distance to major roadway was associated with statistically significantly poorer performance on the immediate and delayed recall components of the HVLT-R, TMT Part B, TMT delta, and letter and category fluency tests. Generally, participants residing less than 100 m from a major roadway performed worst. Performance improved monotonically with increasing distance. CONCLUSION In this cohort of community-dwelling older adults, residential proximity to a major roadway was associated with poorer performance on cognitive tests of verbal learning and memory, psychomotor speed, language, and executive functioning. If causal, these results add to the growing evidence that living near major roadways is associated with adverse health outcomes.
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Affiliation(s)
- Gregory A Wellenius
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, USA.
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Rosenbloom JI, Wilker EH, Mukamal KJ, Schwartz J, Mittleman MA. Residential proximity to major roadway and 10-year all-cause mortality after myocardial infarction. Circulation 2012; 125:2197-203. [PMID: 22566348 DOI: 10.1161/circulationaha.111.085811] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The relationship between residential proximity to roadway and long-term survival after acute myocardial infarction (AMI) is unknown. We investigated the association between distance from residence and major roadway and 10-year all-cause mortality after AMI in the Determinants of Myocardial Infarction Onset Study (Onset Study), hypothesizing that living closer to a major roadway at the time of AMI would be associated with increased risk of mortality. METHODS AND RESULTS The Onset Study enrolled 3886 individuals hospitalized for AMI in 64 centers across the United States from 1989 to 1996. Institutionalized patients, those providing only post office boxes, and those whose addresses could not be geocoded were excluded, leaving 3547 patients eligible for analysis. Addresses were geocoded, and distance to the nearest major roadway was assigned. Cox regression was used to calculate hazard ratios, with adjustment for personal characteristics (age, sex, race, education, marital status, distance to nearest acute care hospital), clinical characteristics (smoking, body mass index, comorbidities, medications), and neighborhood-level characteristics derived from US Census block group data (household income, education, urbanicity). There were 1071 deaths after 10 years of follow-up. In the fully adjusted model, compared with living >1000 m, hazard ratios (95% confidence interval) for living ≤100 m were 1.27 (1.01-1.60), for 100 to ≤200 m were 1.19 (0.93-1.60), and for 200 to ≤1000 m were 1.13 (0.99-1.30) (P(trend)=0.016). CONCLUSIONS In this multicenter study, living close to a major roadway at the time of AMI was associated with increased risk of all-cause 10-year mortality; this relationship persisted after adjustment for individual and neighborhood-level covariates.
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Affiliation(s)
- Joshua I Rosenbloom
- Beth Israel Deaconess Medical Center, 375 Longwood Ave, Boston, MA 02215, USA
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Host S, Chatignoux E, Leal C, Grémy I. [Health risk assessment of traffic-related air pollution near busy roads]. Rev Epidemiol Sante Publique 2012; 60:321-30. [PMID: 22770751 DOI: 10.1016/j.respe.2012.02.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2010] [Revised: 12/16/2011] [Accepted: 02/01/2012] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Although ambient urban air pollution has well-established health effects, epidemiology faces many difficulties in estimating the risks due to exposure to traffic pollutants near busy roads. This review aims to summarize how exposure to traffic-related air pollution near busy roads is assessed in epidemiological studies and main findings regarding health effects. METHOD After presenting the specificity of emissions due to traffic road, this review identifies the key methods and main results found in epidemiologic studies seeking to measure the influence of exposure to nearby traffic on health published over the past decade. RESULTS The characterization and measurement of population exposure to traffic pollution faces many difficulties. Thus, epidemiological studies have used two broad categories of surrogates to assess exposure: direct measures of traffic itself such as distance of the residence to the nearest road and traffic volume and modeled concentrations of pollutant surrogates. Studies that implemented these methods showed that people living near heavy traffic road or exposed to near-road air pollution tend to report more health outcomes. DISCUSSION Traffic-related air pollution near busy roads is the subject of increasing attention, and tends to be better characterized. However, its health impacts remain difficult to grasp, especially because of the vast diversity of approaches used in epidemiological studies. Greater consistency in the protocols would be desirable to provide better understanding of the health issue of traffic in urban areas and thus to better implement policies to protect those most at risk.
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Affiliation(s)
- S Host
- ORS Île-de-France, Paris, France.
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Sim JH, Ahn DC, Son MA. Difference of Area-based deprivation and Education on Cerebrovascular Mortality in Korea. HEALTH POLICY AND MANAGEMENT 2012. [DOI: 10.4332/kjhpa.2012.22.2.163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Mechtouff L, Canoui-Poitrine F, Schott AM, Nighoghossian N, Trouillas P, Termoz A, Porthault-Chatard S, David JS, Chasles V, Derex L. Lack of association between air pollutant exposure and short-term risk of ischaemic stroke in Lyon, France. Int J Stroke 2012; 7:669-74. [PMID: 22309254 DOI: 10.1111/j.1747-4949.2011.00737.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Some observational and experimental studies have suggested a short-term relationship between air pollutants and ischaemic stroke; however, the results conflict. AIMS The objective of this study was to investigate the association between particulate matter less than 2·5 and 10 microns in aerodynamic diameter, nitrogen dioxide, sulphur dioxide and ozone, and short-term risk of ischaemic stroke in Lyon, France. METHODS The AVC69 study was a multicenter cohort study in which all consecutive adult patients admitted to one of the emergency or neurological departments of the Rhône area for suspicion of stroke were included during a seven-month period. Only patients with ischaemic stroke living within the study area, composed of Lyon and 18 neighbouring communities with homogenous air pollutants exposure, formed the basis of our study. We adopted a time-stratified case-crossover design to analyse the short-term effect (up to two-days) of air pollutants on ischaemic stroke incidence. Models were adjusted for temperature, variation of atmospheric pressure, minimal relative humidity, influenza epidemics, pollen count, and holidays. Stratified analyses by gender and class age were performed. Different lag times were analysed. RESULTS 376 patients were included. Mean age was 76·6 years (± 13·7). 53·7% were women. No association was observed between air pollutants and short-term risk of ischaemic stroke after adjustment for main confounding factors. Results remained unchanged whatever the gender or age. CONCLUSIONS These results suggest a lack of association between air pollutant exposure and short-term risk of ischaemic stroke in a French urban area.
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Affiliation(s)
- Laura Mechtouff
- Hôpital Pierre Wertheimer, Stroke Center, Hospices Civils de Lyon, Bron-Lyon, France.
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Habermann M, Gouveia N. Tráfego veicular e mortalidade por doenças do aparelho circulatório em homens adultos. Rev Saude Publica 2012; 46:26-33. [DOI: 10.1590/s0034-89102011005000079] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2011] [Accepted: 08/30/2011] [Indexed: 11/22/2022] Open
Abstract
OBJETIVO: Analisar a associação entre indicadores de exposição à poluição por tráfego veicular e mortalidade por doenças do aparelho circulatório em homens adultos. MÉTODOS: Foram analisadas informações sobre vias e volume de tráfego no ano de 2007 fornecidas pela companhia de engenharia de tráfego local. Mortalidade por doenças do aparelho circulatório no ano de 2005 entre homens > 40 anos foram obtidas do registro de mortalidade do Programa de Aprimoramento de Informações de Mortalidade do Município de São Paulo, SP. Dados socioeconômicos do Censo 2000 e informações sobre a localização dos serviços de saúde também foram coletados. A exposição foi avaliada pela densidade de vias e volume de tráfego para cada distrito administrativo. Foi calculada regressão (α = 5%) entre esses indicadores de exposição e as taxas de mortalidade padronizadas, ajustando os modelos para variáveis socioeconômicas, número de serviços de saúde nos distritos e autocorrelação espacial. RESULTADOS: A correlação entre densidade de vias e volume de tráfego foi modesta (r² = 0,28). Os distritos do centro apresentaram os maiores valores de densidade de vias. O modelo de regressão espacial de densidade de vias indicou associação com mortalidade por doenças do aparelho circulatório (p = 0,017). Não se observou associação no modelo de volume de tráfego. Em ambos os modelos - vias e volume de tráfego (veículos leves/pesados) - a variável socioeconômica foi estatisticamente significante. CONCLUSÕES: A associação entre mortalidade por doenças do aparelho circulatório e densidade de vias converge com a literatura e encoraja a realização de mais estudos epidemiológicos em nível individual e com métodos mais acurados de avaliação da exposição.
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Jephcote C, Chen H. Environmental injustices of children's exposure to air pollution from road-transport within the model British multicultural city of Leicester: 2000-09. THE SCIENCE OF THE TOTAL ENVIRONMENT 2012; 414:140-151. [PMID: 22154180 DOI: 10.1016/j.scitotenv.2011.11.040] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2011] [Revised: 11/10/2011] [Accepted: 11/14/2011] [Indexed: 05/31/2023]
Abstract
The significant contribution of road-transport to air pollution within the urban arena is widely acknowledged, and traditionally explored in relation to health outcomes across a temporal scale. However, the structure of the urban environment is also of importance in dictating the existence of extremely variable traffic pollutant levels, which often tend to be linked with social disparities. Nevertheless 'Environmental Justice' studies have rarely tackled the adverse health implications of exposures from mobile sources (Chakraborty, 2009), or have applied statistical techniques that are appropriate for such spatial data (Gilbert and Chakraborty, 2011). This article addresses these gaps by spatially examining the distribution of respiratory hospitalisation incidents of children aged 0-15 years in relation to social circumstances and residential exposures of annual PM(10) road-transport emissions within Leicester during 2000-09. Continuing upon the theme of 'Environmental Justice', the research explores the intra-urban spatial distribution of those who produce and residentially experience the majority of road-transport emissions. The findings indicate significant global relationships to exist between children's hospitalisation rates and social-economic-status, ethnic minorities, and PM(10) road-transport emissions within Leicester. Local Indicators of Spatial Association (LISA) and Geographically Weighted Regression (GWR) identified important localised variations within the dataset, specifically relating to a double-burden of residentially experienced road-transport emissions and deprivation effecting inner city children's respiratory health. Furthermore, affluent intra-urban communities tended to contribute the highest levels of emission from private transport, while residentially experiencing relatively low exposure of transport emissions. This would suggest that environmental injustices prevail across the model British multicultural city of Leicester.
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Affiliation(s)
- Calvin Jephcote
- Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, United Kingdom.
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Hennerici MG. Report of the 20th European Stroke Conference, Hamburg, May 24-27, 2011. Cerebrovasc Dis 2011; 32:589-613. [PMID: 22134359 DOI: 10.1159/000334176] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- M G Hennerici
- Department of Neurology, UMM, University of Heidelberg, Mannheim, Germany
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Maheswaran R, Pearson T, Smeeton NC, Beevers SD, Campbell MJ, Wolfe CD. Outdoor air pollution and incidence of ischemic and hemorrhagic stroke: a small-area level ecological study. Stroke 2011; 43:22-7. [PMID: 22033998 DOI: 10.1161/strokeaha.110.610238] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Evidence linking outdoor air pollution and incidence of stroke is limited. We examined effects of outdoor air pollution on the incidence of ischemic and hemorrhagic stroke at the population level focusing on middle-aged and older people. METHODS We used a small-area level ecological study design and a stroke register set up to capture all incident cases of first-ever stroke occurring in a defined geographical area in south London (948 census output areas) where road traffic contributes to spatial variation in air pollution. Population-weighted averages were calculated for output areas using outdoor nitrogen dioxide and PM(10) concentrations modeled at a 20-m resolution. RESULTS There were 1832 ischemic and 348 hemorrhagic strokes in 1995 to 2004 occurring among a resident population of 267 839. Mean (SD) concentration was 25.1 (1.2) μg/m(3) (range, 23.3-36.4 μg/m(3)) for PM(10) and 41.4 (3.0) μg/m(3) (range, 35.4-68.0 μg/m(3)) for nitrogen dioxide. For ischemic stroke, adjusted rate ratios per 10-μg/m(3) increase, for all ages, 40 to 64 and 65 to 79 years, respectively, were 1.22 (0.77-1.93), 1.12 (0.55-2.28), and 1.86 (1.10-3.13) for PM(10) and 1.11 (0.93-1.32), 1.13 (0.86-1.50), and 1.23 (0.99-1.53) for nitrogen dioxide. For hemorrhagic stroke, the corresponding rate ratios were 0.52 (0.20-1.37), 0.78 (0.17-3.51), and 0.51 (0.12-2.22) for PM(10) and 0.86 (0.60-1.24), 1.12 (0.66-1.90), and 0.78 (0.44-1.39) for nitrogen dioxide. CONCLUSIONS Although there was no significant association between outdoor air pollutants and ischemic stroke incidence for all ages combined, there was a suggestion of increased risk among people aged 65 to 79 years. There was no evidence of increased incidence in hemorrhagic stroke.
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Affiliation(s)
- Ravi Maheswaran
- Public Health GIS Unit, School of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield S1 4DA, UK.
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Brender JD, Maantay JA, Chakraborty J. Residential proximity to environmental hazards and adverse health outcomes. Am J Public Health 2011; 101 Suppl 1:S37-52. [PMID: 22028451 DOI: 10.2105/ajph.2011.300183] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
How living near environmental hazards contributes to poorer health and disproportionate health outcomes is an ongoing concern. We conducted a substantive review and critique of the literature regarding residential proximity to environmental hazards and adverse pregnancy outcomes, childhood cancer, cardiovascular and respiratory illnesses, end-stage renal disease, and diabetes. Several studies have found that living near hazardous wastes sites, industrial sites, cropland with pesticide applications, highly trafficked roads, nuclear power plants, and gas stations or repair shops is related to an increased risk of adverse health outcomes. Government agencies should consider these findings in establishing rules and permitting and enforcement procedures to reduce pollution from environmentally burdensome facilities and land uses.
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Affiliation(s)
- Jean D Brender
- Texas A&M Health Science Center, School of Rural Public Health, College Station, Texas 77843-1266, USA.
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Cooper R, Boyko CT, Cooper C. Design for health: the relationship between design and noncommunicable diseases. JOURNAL OF HEALTH COMMUNICATION 2011; 16 Suppl 2:134-157. [PMID: 21916719 DOI: 10.1080/10810730.2011.601396] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The authors explore the relationship between design and noncommunicable diseases, first by highlighting how design knowledge and practice can have a direct and indirect effect on these diseases. They then review the literature on the link between the physical environment (e.g., dwellings, the neighborhood, cities) and noncommunicable diseases. Last, they illustrate the links between design and noncommunicable diseases by exploring in greater detail how designers and the design of the urban environment can play a positive role in the reduction of noncommunicable diseases.
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Affiliation(s)
- Rachel Cooper
- Lancaster Institute for the Contemporary Arts, ImaginationLancaster, University of Lancaster, Bailrigg, Lancaster, United Kingdom
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Lachmuth CL, Barrett-Lennard LG, Steyn DQ, Milsom WK. Estimation of southern resident killer whale exposure to exhaust emissions from whale-watching vessels and potential adverse health effects and toxicity thresholds. MARINE POLLUTION BULLETIN 2011; 62:792-805. [PMID: 21276987 DOI: 10.1016/j.marpolbul.2011.01.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2010] [Revised: 12/29/2010] [Accepted: 01/04/2011] [Indexed: 05/30/2023]
Abstract
Southern resident killer whales in British Columbia and Washington are exposed to heavy vessel traffic. This study investigates their exposure to exhaust gases from whale-watching vessels by using a simple dispersion model incorporating data on whale and vessel behavior, atmospheric conditions, and output of airborne pollutants from the whale-watching fleet based on emissions data from regulatory agencies. Our findings suggest that current whale-watching guidelines are usually effective in limiting pollutant exposure to levels at or just below those at which measurable adverse health effects would be expected in killer whales. However, safe pollutant levels are exceeded under worst-case conditions and certain average-case conditions. To reduce killer whale exposure to exhaust we recommend: vessels position on the downwind side of whales, a maximum of 20 whale-watching vessels should be within 800 m at any given time, viewing periods should be limited, and current whale-watch guidelines and laws should be enforced.
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Affiliation(s)
- Cara L Lachmuth
- University of British Columbia, Department of Zoology, #2370-6270 University Blvd., Vancouver, BC V6T1Z4, Canada.
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Habermann M, Medeiros APP, Gouveia N. Tráfego veicular como método de avaliação da exposição à poluição atmosférica nas grandes metrópoles. REVISTA BRASILEIRA DE EPIDEMIOLOGIA 2011. [DOI: 10.1590/s1415-790x2011000100011] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
A poluição atmosférica é uma das maiores preocupações para a saúde pública. Entre os estudos conduzidos para testar a associação entre poluição do ar e os mais diversos desfechos em saúde, alguns utilizaram dados viários e de tráfego veicular como avaliação da exposição. O presente trabalho pretende revisar e discutir alguns dos aspectos metodológicos dos estudos que utilizaram este método, principalmente em áreas onde a fonte veicular é uma grande geradora de poluentes. Realizou-se uma busca bibliográfica com palavras-chave relacionadas à poluição atmosférica e tráfego veicular, e foram selecionados artigos publicados entre os anos de 2000 e 2009. Foram constatadas várias abordagens para avaliar a exposição, enfatizando-se o método da Densidade de Tráfego Ponderada pela Distância, que considera as vias e a distância das mesmas em relação ao local de interesse e o tráfego. Além disso, destaca-se a importância do uso de técnicas de sistemas de informação geográfica (SIG) como instrumento na construção de modelos para mensurar a exposição.
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Air Pollution and the microvasculature: a cross-sectional assessment of in vivo retinal images in the population-based multi-ethnic study of atherosclerosis (MESA). PLoS Med 2010; 7:e1000372. [PMID: 21152417 PMCID: PMC2994677 DOI: 10.1371/journal.pmed.1000372] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2010] [Accepted: 10/18/2010] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Long- and short-term exposures to air pollution, especially fine particulate matter (PM(2.5)), have been linked to cardiovascular morbidity and mortality. One hypothesized mechanism for these associations involves microvascular effects. Retinal photography provides a novel, in vivo approach to examine the association of air pollution with changes in the human microvasculature. METHODS AND FINDINGS Chronic and acute associations between residential air pollution concentrations and retinal vessel diameters, expressed as central retinal arteriolar equivalents (CRAE) and central retinal venular equivalents (CRVE), were examined using digital retinal images taken in Multi-Ethnic Study of Atherosclerosis (MESA) participants between 2002 and 2003. Study participants (46 to 87 years of age) were without clinical cardiovascular disease at the baseline examination (2000-2002). Long-term outdoor concentrations of PM(2.5) were estimated at each participant's home for the 2 years preceding the clinical exam using a spatio-temporal model. Short-term concentrations were assigned using outdoor measurements on the day preceding the clinical exam. Residential proximity to roadways was also used as an indicator of long-term traffic exposures. All associations were examined using linear regression models adjusted for subject-specific age, sex, race/ethnicity, education, income, smoking status, alcohol use, physical activity, body mass index, family history of cardiovascular disease, diabetes status, serum cholesterol, glucose, blood pressure, emphysema, C-reactive protein, medication use, and fellow vessel diameter. Short-term associations were further controlled for weather and seasonality. Among the 4,607 participants with complete data, CRAE were found to be narrower among persons residing in regions with increased long- and short-term levels of PM(2.5). These relationships were observed in a joint exposure model with -0.8 µm (95% confidence interval [CI] -1.1 to -0.5) and -0.4 µm (95% CI -0.8 to 0.1) decreases in CRAE per interquartile increases in long- (3 µg/m(3)) and short-term (9 µg/m(3)) PM(2.5) levels, respectively. These reductions in CRAE are equivalent to 7- and 3-year increases in age in the same cohort. Similarly, living near a major road was also associated with a -0.7 µm decrease (95% CI -1.4 to 0.1) in CRAE. Although the chronic association with CRAE was largely influenced by differences in exposure between cities, this relationship was generally robust to control for city-level covariates and no significant differences were observed between cities. Wider CRVE were associated with living in areas of higher PM(2.5) concentrations, but these findings were less robust and not supported by the presence of consistent acute associations with PM(2.5). CONCLUSIONS Residing in regions with higher air pollution concentrations and experiencing daily increases in air pollution were each associated with narrower retinal arteriolar diameters in older individuals. These findings support the hypothesis that important vascular phenomena are associated with small increases in short-term or long-term air pollution exposures, even at current exposure levels, and further corroborate reported associations between air pollution and the development and exacerbation of clinical cardiovascular disease. Please see later in the article for the Editors' Summary.
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