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      Exposure to Road Traffic Noise and Incidence of Acute Myocardial Infarction and Congestive Heart Failure: A Population-Based Cohort Study in Toronto, Canada

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          Abstract

          Background:

          Epidemiological evidence for the association between traffic-related noise and the incidence of major cardiovascular events such as acute myocardial infarction (AMI) and congestive heart failure (CHF) is inconclusive, especially in North America.

          Objectives:

          We evaluated the associations between long-term exposure to road traffic noise and the incidence of AMI and CHF.

          Methods:

          Our study population comprised 1  million people 30–100 years of age who lived in Toronto, Canada, from 2001 to 2015 and were free of AMI (referred to as the AMI cohort) or CHF (the CHF cohort) at baseline. Outcomes were ascertained from health administrative databases using validated algorithms. Annual average noise levels were estimated as the A-weighted equivalent sound pressure level over the 24-h period (LAeq24) and during nighttime (LAeqNight), respectively, using propagation modeling, and assigned to participants’ annual six-digit postal code addresses during follow-up. We calculated hazard ratios (HRs) and 95% confidence intervals (CIs) for incident AMI and CHF in relation to LAeq24 and LAeqNight using random-effects Cox proportional hazards models adjusting for individual- and census tract–level covariates, including traffic-related air pollutants [e.g., ultrafine particles (UFPs) and nitrogen dioxide].

          Results:

          During follow-up, there were 37,441 AMI incident cases and 95,138 CHF incident cases. Each interquartile range change in LAeq24 was associated with an increased risk of incident AMI ( HR = 1.07 ; 95% CI: 1.06, 1.08) and CHF ( HR = 1.07 ; 95% CI: 1.06, 1.09). Similarly, LAeqNight was associated with incident AMI ( HR = 1.07 ; 95% CI: 1.05, 1.08) and CHF ( HR = 1.06 ; 95% CI: 1.05, 1.07). These results were robust to various sensitivity analyses and remained elevated after controlling for long-term exposure to UFPs and nitrogen dioxide. We found near-linear relationships between noise and the incidence of AMI and CHF with no evidence of threshold values.

          Conclusion:

          In this large cohort study in Toronto, Canada, chronic exposure to road traffic noise was associated with elevated risks for AMI and CHF incidence. https://doi.org/10.1289/EHP5809

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          Most cited references42

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          Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter

          Significance Exposure to outdoor concentrations of fine particulate matter is considered a leading global health concern, largely based on estimates of excess deaths using information integrating exposure and risk from several particle sources (outdoor and indoor air pollution and passive/active smoking). Such integration requires strong assumptions about equal toxicity per total inhaled dose. We relax these assumptions to build risk models examining exposure and risk information restricted to cohort studies of outdoor air pollution, now covering much of the global concentration range. Our estimates are severalfold larger than previous calculations, suggesting that outdoor particulate air pollution is an even more important population health risk factor than previously thought.
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            Is Open Access

            Cardiovascular effects of environmental noise exposure

            The role of noise as an environmental pollutant and its impact on health are being increasingly recognized. Beyond its effects on the auditory system, noise causes annoyance and disturbs sleep, and it impairs cognitive performance. Furthermore, evidence from epidemiologic studies demonstrates that environmental noise is associated with an increased incidence of arterial hypertension, myocardial infarction, and stroke. Both observational and experimental studies indicate that in particular night-time noise can cause disruptions of sleep structure, vegetative arousals (e.g. increases of blood pressure and heart rate) and increases in stress hormone levels and oxidative stress, which in turn may result in endothelial dysfunction and arterial hypertension. This review focuses on the cardiovascular consequences of environmental noise exposure and stresses the importance of noise mitigation strategies for public health.
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              Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records.

              To determine if using a combination of hospital administrative data and ambulatory care physician billings can accurately identify patients with congestive heart failure (CHF), we tested 9 algorithms for identifying individuals with CHF from administrative data. The validation cohort against which the 9 algorithms were tested combined data from a random sample of adult patients from EMRALD, an electronic medical record database of primary care physicians in Ontario, Canada, and data collected in 2004/05 from a random sample of primary care patients for a study of hypertension. Algorithms were evaluated on sensitivity, specificity, positive predictive value, area under the curve on the ROC graph and the combination of likelihood ratio positive and negative. We found that that one hospital record or one physician billing followed by a second record from either source within one year had the best result, with a sensitivity of 84.8% and a specificity of 97.0%. Population prevalence of CHF can be accurately measured using combined administrative data from hospitalization and ambulatory care.
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                Author and article information

                Journal
                Environ Health Perspect
                Environ. Health Perspect
                EHP
                Environmental Health Perspectives
                Environmental Health Perspectives
                0091-6765
                1552-9924
                12 August 2020
                August 2020
                : 128
                : 8
                : 087001
                Affiliations
                [ 1 ]ICES , Toronto, Ontario, Canada
                [ 2 ]Public Health Ontario , Toronto, Ontario, Canada
                [ 3 ]Department of Geography and Environmental Studies, Ryerson University , Toronto, Ontario, Canada
                [ 4 ]Health Canada , Ottawa, Ontario, Canada
                [ 5 ]Department of Epidemiology, Biostatistics, and Occupational Health, McGill University , Montreal, Quebec, Canada
                [ 6 ]Air Health Science Division, Health Canada , Ottawa, Ontario, Canada
                [ 7 ]Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles , Los Angeles, California, USA
                [ 8 ]Dalla Lana School of Public Health, University of Toronto , Toronto, Ontario, Canada
                [ 9 ]Department of Family and Community Medicine, University of Toronto , Toronto, Ontario, Canada
                Author notes
                Address correspondence to Li Bai, ICES Central, G177, 2075 Bayview Ave., Toronto, Ontario M4N 3M5, Canada. Telephone: 416-480-4055 ext. 2481. Fax: 416-480-6048. Email: li.bai@ 123456ices.on.ca
                Article
                EHP5809
                10.1289/EHP5809
                7422718
                32783534
                940931d8-f5c1-4295-b854-4a3e0ded14da

                EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

                History
                : 25 June 2019
                : 03 July 2020
                : 06 July 2020
                Categories
                Research

                Public health
                Public health

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