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      Associations between long-term aircraft noise exposure, cardiovascular disease, and mortality in US cohorts of female nurses

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          Background:

          There is limited research examining aircraft noise and cardiovascular disease (CVD) risk. The objective of this study was to investigate associations of aircraft noise with CVD among two US cohorts, the Nurses’ Health Study (NHS) and Nurses’ Health Study II (NHSII).

          Methods:

          Between 1994 and 2014, we followed 57,306 NHS and 60,058 NHSII participants surrounding 90 airports. Aircraft noise was modeled above 44 A-weighted decibels (dB(A)) and linked to geocoded addresses. Based on exposure distributions, we dichotomized exposures at 50 dB(A) and tested sensitivity of this cut-point by analyzing aircraft noise as categories ( <45, 45–49, 50–54, ≥55) and continuously. We fit cohort-specific Cox proportional hazards models to estimate relationships between time-varying day-night average sound level (DNL) and CVD incidence and CVD and all-cause mortality, adjusting for fixed and time-varying individual- and area-level covariates. Results were pooled using random effects meta-analysis.

          Results:

          Over 20 years of follow-up, there were 4529 CVD cases and 14,930 deaths. Approximately 7% (n = 317) of CVD cases were exposed to DNL ≥50 dB(A). In pooled analyses comparing ≥50 with <50 dB(A), the adjusted hazard ratio for CVD incidence was 1.00 (95% confidence interval: 0.89, 1.12). The corresponding adjusted hazard ratio for all-cause mortality was 1.02 (95% confidence interval: 0.96, 1.09). Patterns were similar for CVD mortality in NHS yet underpowered.

          Conclusions:

          Among participants in the NHS and NHSII prospective cohorts who generally experience low exposure to aircraft noise, we did not find adverse associations of aircraft noise with CVD incidence, CVD mortality, or all-cause mortality.

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          Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

          Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). Methods: The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year’s worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year’s edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. Results: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. Conclusions: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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            Meta-analysis in clinical trials.

            This paper examines eight published reviews each reporting results from several related trials. Each review pools the results from the relevant trials in order to evaluate the efficacy of a certain treatment for a specified medical condition. These reviews lack consistent assessment of homogeneity of treatment effect before pooling. We discuss a random effects approach to combining evidence from a series of experiments comparing two treatments. This approach incorporates the heterogeneity of effects in the analysis of the overall treatment efficacy. The model can be extended to include relevant covariates which would reduce the heterogeneity and allow for more specific therapeutic recommendations. We suggest a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
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              Compendium of physical activities: classification of energy costs of human physical activities.

              A coding scheme is presented for classifying physical activity by rate of energy expenditure, i.e., by intensity. Energy cost was established by a review of published and unpublished data. This coding scheme employs five digits that classify activity by purpose (i.e., sports, occupation, self-care), the specific type of activity, and its intensity as the ratio of work metabolic rate to resting metabolic rate (METs). Energy expenditure in kilocalories or kilocalories per kilogram body weight can be estimated for all activities, specific activities, or activity types. General use of this coding system would enhance the comparability of results across studies using self reports of physical activity.
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                Author and article information

                Journal
                Environ Epidemiol
                Environ Epidemiol
                EE9
                Environmental Epidemiology
                Lippincott Williams & Wilkins (Hagerstown, MD )
                2474-7882
                August 2023
                21 June 2023
                : 7
                : 4
                : e259
                Affiliations
                [a ]Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
                [b ]Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
                [c ]Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
                [d ]Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
                [e ]Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
                [f ]College of Arts and Sciences, Boston University, Boston, Massachusetts
                [g ]Epidemiology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
                [h ]Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
                [i ]Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
                [j ]Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan
                [k ]Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
                Author notes
                *Corresponding Author. Address: Stephanie T. Grady, 715 Albany Street, Talbot 4W, Boston, MA 02118. E-mail: sgrady@ 123456bu.edu (S. T. Grady).
                Author information
                https://orcid.org/0000-0002-1544-358X
                https://orcid.org/0000-0002-0826-1163
                https://orcid.org/0000-0002-2813-2174
                https://orcid.org/0000-0002-9169-6458
                https://orcid.org/0000-0001-6748-4677
                https://orcid.org/0000-0003-0429-0247
                https://orcid.org/0000-0003-4787-1201
                https://orcid.org/0000-0002-9426-7595
                https://orcid.org/0000-0003-0922-0256
                https://orcid.org/0000-0001-8383-485X
                https://orcid.org/0000-0003-3387-8429
                https://orcid.org/0000-0002-1116-4006
                Article
                00005
                10.1097/EE9.0000000000000259
                10402956
                37545808
                c7aed9ea-b7ee-4c18-8374-ffb008715956
                Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.

                This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 February 2023
                : 1 June 2023
                Categories
                Original Research Article
                Custom metadata
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                T

                aircraft,transportation,noise,cardiovascular disease,all-cause mortality

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