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Li J, Shi Y, Li S, Xu H, Tao T, Wang Q, Gilbert KM. The impact of residential environment on stroke onset and its spatial heterogeneity: A multiscale exploration in Shanghai. Prev Med 2024; 186:108067. [PMID: 39009190 DOI: 10.1016/j.ypmed.2024.108067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 07/08/2024] [Accepted: 07/10/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND Stroke is a worldwide concern due to its high disability and mortality rates, especially in many countries entering ageing societies. This study aims to understand the spatial heterogeneity of stroke onset and residential environment influence scopes from multiscale. METHODS The 2013 to 2022 spatiotemporal distribution pattern of stroke onset was obtained via out-patient data from a hospital in Shanghai. Then nine residential environmental factors were selected to estimate the association of stroke onset by multiscale geographically weighted regression (MGWR), in three scenarios. RESULTS Accessibility to pubs/bars (PUB) and building density (BD) were the top two residential environmental factors both for the entire sample and by gender. Stress-related environmental factors have a greater impact on the onset of stroke in men but are limited in scope. The population of elderly people have relevance to environmental variables heterogeneity. The indicators relating to unhealthy food and alcohol suggest that habit-inducing environmental factors have a limited impact on stroke onset, but rather that pre-existing habits play a greater role. CONCLUSIONS MGWR analyses individual components across multiple bandwidths, revealing geographical disparities in the impact of elements that would otherwise be undetected on a global scale. Environmental factors have a limited impact on the onset of stroke. When society is faced with both heavy ageing and fiscal constraints, some of the blue-green space budgets can be scaled back to invest in more secure facilities.
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Affiliation(s)
- Jiaqi Li
- College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China.
| | - Yishao Shi
- College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China.
| | - Shanzhu Li
- Tongji Hospital of Tongji University, Shanghai 200065, China.
| | - Hui Xu
- Tongji Hospital of Tongji University, Shanghai 200065, China.
| | - Tianhui Tao
- College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China; Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
| | - Qianxu Wang
- College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China.
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Münzel T, Molitor M, Kuntic M, Hahad O, Röösli M, Engelmann N, Basner M, Daiber A, Sørensen M. Transportation Noise Pollution and Cardiovascular Health. Circ Res 2024; 134:1113-1135. [PMID: 38662856 DOI: 10.1161/circresaha.123.323584] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Epidemiological studies have found that transportation noise increases the risk for cardiovascular morbidity and mortality, with solid evidence for ischemic heart disease, heart failure, and stroke. According to the World Health Organization, at least 1.6 million healthy life years are lost annually from traffic-related noise in Western Europe. Traffic noise at night causes fragmentation and shortening of sleep, elevation of stress hormone levels, and increased oxidative stress in the vasculature and the brain. These factors can promote vascular (endothelial) dysfunction, inflammation, and arterial hypertension, thus elevating cardiovascular risk. The present review focusses on the indirect, nonauditory cardiovascular health effects of noise. We provide an updated overview of epidemiological research on the effects of transportation noise on cardiovascular risk factors and disease, and mechanistic insights based on the latest clinical and experimental studies and propose new risk markers to address noise-induced cardiovascular effects in the general population. We will discuss the potential effects of noise on vascular dysfunction, oxidative stress, and inflammation in humans and animals. We will elaborately explain the underlying pathomechanisms by alterations of gene networks, epigenetic pathways, circadian rhythm, signal transduction along the neuronal-cardiovascular axis, and metabolism. We will describe current and future noise mitigation strategies. Finally, we will conduct an overall evaluation of the status of the current evidence of noise as a significant cardiovascular risk factor.
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Affiliation(s)
- Thomas Münzel
- Department of Cardiology, University Medical Center Mainz, Germany (T.M., M.M., M.K., O.H., A.D.)
- German Centre for Cardiovascular Research (DZHK), Rhine-Main, Germany (T.M., M.M., O.H., A.D.)
| | - Michael Molitor
- Department of Cardiology, University Medical Center Mainz, Germany (T.M., M.M., M.K., O.H., A.D.)
- German Centre for Cardiovascular Research (DZHK), Rhine-Main, Germany (T.M., M.M., O.H., A.D.)
| | - Marin Kuntic
- Department of Cardiology, University Medical Center Mainz, Germany (T.M., M.M., M.K., O.H., A.D.)
| | - Omar Hahad
- Department of Cardiology, University Medical Center Mainz, Germany (T.M., M.M., M.K., O.H., A.D.)
- German Centre for Cardiovascular Research (DZHK), Rhine-Main, Germany (T.M., M.M., O.H., A.D.)
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Department Epidemiology and Public Health, University of Basel, Switzerland (M.R., N.E.)
| | - Nicole Engelmann
- Swiss Tropical and Public Health Institute, Department Epidemiology and Public Health, University of Basel, Switzerland (M.R., N.E.)
| | - Mathias Basner
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (M.B.)
| | - Andreas Daiber
- Department of Cardiology, University Medical Center Mainz, Germany (T.M., M.M., M.K., O.H., A.D.)
- German Centre for Cardiovascular Research (DZHK), Rhine-Main, Germany (T.M., M.M., O.H., A.D.)
| | - Mette Sørensen
- Danish Cancer Institute, Danish Cancer Society, Copenhagen, Denmark (M.S.)
- Department of Natural Science and Environment, Roskilde University, Denmark (M.S.)
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Tang JH, Jian HL, Chan TC. The impact of co-exposure to air and noise pollution on the incidence of metabolic syndrome from a health checkup cohort. Sci Rep 2024; 14:8841. [PMID: 38632465 PMCID: PMC11024131 DOI: 10.1038/s41598-024-59576-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/12/2024] [Indexed: 04/19/2024] Open
Abstract
Previous studies have found associations between the incidence of metabolic syndrome (MetS) and exposure to air pollution or road traffic noise. However, investigations on environmental co-exposures are limited. This study aimed to investigate the association between co-exposure to air pollution and road traffic noise and MetS and its subcomponents. Participants living in Taipei City who underwent at least two health checkups between 2010 and 2016 were included in the study. Data were sourced from the MJ Health database, a longitudinal, large-scale cohort in Taiwan. The monthly traffic noise exposure (Lden and Lnight) was computed using a dynamic noise map. Monthly fine particulate data at one kilometer resolution were computed from satellite imagery data. Cox proportional hazards regression models with month as the underlying time scale were used to estimate hazard ratios (HRs) for the impact of PM2.5 and road traffic noise exposure on the risk of developing MetS or its subcomponents. Data from 10,773 participants were included. We found significant positive associations between incident MetS and PM2.5 (HR: 1.88; 95% CI 1.67, 2.12), Lden (HR: 1.10; 95% CI 1.06, 1.15), and Lnight (HR: 1.07; 95% CI 1.02, 1.13) in single exposure models. Results further showed significant associations with an elevated risk of incident MetS in co-exposure models, with HRs of 1.91 (95% CI 1.69, 2.16) and 1.11 (95% CI 1.06, 1.16) for co-exposure to PM2.5 and Lden, and 1.90 (95% CI 1.68, 2.14) and 1.08 (95% CI 1.02, 1.13) for co-exposure to PM2.5 and Lnight. The HRs for the co-exposure models were higher than those for models with only a single exposure. This study provides evidence that PM2.5 and noise exposure may elevate the risk of incident MetS and its components in both single and co-exposure models. Therefore, preventive approaches to mitigate the risk of MetS and its subcomponents should consider reducing exposure to PM2.5 and noise pollution.
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Affiliation(s)
- Jia-Hong Tang
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan
| | - Hong-Lian Jian
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
- Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
- School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan.
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Jin T, Kosheleva A, Castro E, Qiu X, James P, Schwartz J. Long-term noise exposures and cardiovascular diseases mortality: A study in 5 U.S. states. ENVIRONMENTAL RESEARCH 2024; 245:118092. [PMID: 38163540 PMCID: PMC10923011 DOI: 10.1016/j.envres.2023.118092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/10/2023] [Accepted: 12/30/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Previous studies have linked noise exposure with adverse cardiovascular events. However, evidence remains inconsistent, and most previous studies only focused on traffic noise, excluding other anthropogenic sources like constructions, industrial process and commercial activities. Additionally, few studies have been conducted in the U.S. or evaluated the non-linear exposure-response relationships. METHODS We conducted a relative incidence analysis study using all cardiovascular diseases mortality as cases (n = 936,019) and external causes mortality (n = 232,491) as contrast outcomes. Mortality records geocoded at residential addresses were obtained from five U.S. states (Indiana, 2007; Kansas, 2007-2009, Missouri, 2010-2019, Ohio, 2007-2013, Texas, 2007-2016). Time-invariant long-term noise exposure was obtained from a validated model developed based on acoustical measurements across 2000-2014. Noises from both natural sources (natural activities, including animals, insects, winds, water flows, thunder, etc.) and anthropogenic sources (human activities, including transportation, industrial activities, community facilities & infrastructures, commercial activities, entertainments, etc.) were included. We used daytime and nighttime total anthropogenic noise & day-night average sound pressure level combining natural and anthropogenic sources as exposures. Logistic regression models were fit controlling for Census tract-level & individual-level characteristics. We examined potential modification by sex by interaction terms and potential non-linear associations by thin plate spline terms. RESULTS We observed positive associations for daytime anthropogenic L50 (sound level exceeded 50% of time) noise (10-dBA OR = 1.047, 95%CI 1.025-1.069), nighttime anthropogenic L50 noise (10-dBA OR = 1.061, 95%CI 1.033-1.091) in a two-exposure-term model, and overall Ldn (day-night average) sound pressure level (10-dBA OR = 1.064, 95%CI 1.040-1.089) in single-exposure-term model. Females were more susceptible to all three exposures. All exposures showed monotonic positive associations with cardiovascular mortality up to certain thresholds around 45-55 dBA, with a generally flattened or decreasing trend beyond those thresholds. CONCLUSIONS Both daytime anthropogenic and nighttime anthropogenic noises were associated with cardiovascular disease mortality, and associations were stronger in females.
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Affiliation(s)
- Tingfan Jin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Sørensen M, Pershagen G, Thacher JD, Lanki T, Wicki B, Röösli M, Vienneau D, Cantuaria ML, Schmidt JH, Aasvang GM, Al-Kindi S, Osborne MT, Wenzel P, Sastre J, Fleming I, Schulz R, Hahad O, Kuntic M, Zielonka J, Sies H, Grune T, Frenis K, Münzel T, Daiber A. Health position paper and redox perspectives - Disease burden by transportation noise. Redox Biol 2024; 69:102995. [PMID: 38142584 PMCID: PMC10788624 DOI: 10.1016/j.redox.2023.102995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 12/26/2023] Open
Abstract
Transportation noise is a ubiquitous urban exposure. In 2018, the World Health Organization concluded that chronic exposure to road traffic noise is a risk factor for ischemic heart disease. In contrast, they concluded that the quality of evidence for a link to other diseases was very low to moderate. Since then, several studies on the impact of noise on various diseases have been published. Also, studies investigating the mechanistic pathways underlying noise-induced health effects are emerging. We review the current evidence regarding effects of noise on health and the related disease-mechanisms. Several high-quality cohort studies consistently found road traffic noise to be associated with a higher risk of ischemic heart disease, heart failure, diabetes, and all-cause mortality. Furthermore, recent studies have indicated that road traffic and railway noise may increase the risk of diseases not commonly investigated in an environmental noise context, including breast cancer, dementia, and tinnitus. The harmful effects of noise are related to activation of a physiological stress response and nighttime sleep disturbance. Oxidative stress and inflammation downstream of stress hormone signaling and dysregulated circadian rhythms are identified as major disease-relevant pathomechanistic drivers. We discuss the role of reactive oxygen species and present results from antioxidant interventions. Lastly, we provide an overview of oxidative stress markers and adverse redox processes reported for noise-exposed animals and humans. This position paper summarizes all available epidemiological, clinical, and preclinical evidence of transportation noise as an important environmental risk factor for public health and discusses its implications on the population level.
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Affiliation(s)
- Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Institute, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Denmark.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jesse Daniel Thacher
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Timo Lanki
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland; School of Medicine, University of Eastern Finland, Kuopio, Finland; Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Benedikt Wicki
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Martin Röösli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Manuella Lech Cantuaria
- Work, Environment and Cancer, Danish Cancer Institute, Copenhagen, Denmark; Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital & University of Southern Denmark, Odense, Denmark
| | - Jesper Hvass Schmidt
- Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital & University of Southern Denmark, Odense, Denmark
| | - Gunn Marit Aasvang
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Sadeer Al-Kindi
- Department of Medicine, University Hospitals, Harrington Heart & Vascular Institute, Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA
| | - Michael T Osborne
- Cardiovascular Imaging Research Center, Massachusetts General Hospital, Boston, MA, USA; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Philip Wenzel
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany
| | - Juan Sastre
- Department of Physiology, Faculty of Pharmacy, University of Valencia, Spain
| | - Ingrid Fleming
- Institute for Vascular Signalling, Centre for Molecular Medicine, Goethe University, Frankfurt Am Main, Germany; German Center of Cardiovascular Research (DZHK), Partner Site RheinMain, Frankfurt, Germany
| | - Rainer Schulz
- Institute of Physiology, Faculty of Medicine, Justus-Liebig University, Gießen, 35392, Gießen, Germany
| | - Omar Hahad
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Marin Kuntic
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Jacek Zielonka
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Helmut Sies
- Institute for Biochemistry and Molecular Biology I, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Katie Frenis
- Hematology/Oncology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Stem Cell Program, Boston Children's Hospital, Boston, MA, USA
| | - Thomas Münzel
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany.
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Tian T, Kwan MP, Vermeulen R, Helbich M. Geographic uncertainties in external exposome studies: A multi-scale approach to reduce exposure misclassification. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167637. [PMID: 37816406 DOI: 10.1016/j.scitotenv.2023.167637] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/15/2023] [Accepted: 10/05/2023] [Indexed: 10/12/2023]
Abstract
BACKGROUND Many studies on environment-health associations have emphasized that the selected buffer size (i.e., the scale of the geographic context when exposures are assigned at people's address location) may affect estimated effect sizes. However, there is limited methodological progress in addressing these buffer size-related uncertainties. AIM We aimed to 1) develop a statistical multi-scale approach to address buffer-related scale effects in cohort studies, and 2) investigate how environment-health associations differ between our multi-scale approach and ad hoc selected buffer sizes. METHODS We used lacunarity analyses to determine the largest meaningful buffer size for multiple high-resolution exposure surfaces (i.e., fine particulate matter [PM2.5], noise, and the normalized difference vegetation index [NDVI]). Exposures were linked to 7.7 million Dutch adults at their home addresses. We assigned exposure estimates based on buffers with fine-grained distance increments until the lacunarity-based upper limit was reached. Bayesian Cox model averaging addressed geographic uncertainties in the estimated exposure effect sizes within the exposure-specific upper buffer limits on mortality. Z-tests assessed statistical differences between averaged effect sizes and those obtained through pre-selected 100, 300, 1200, and 1500 m buffers. RESULTS The estimated lacunarity curves suggested exposure-specific upper buffer size limits; the largest was for NDVI (960 m), followed by noise (910 m) and PM2.5 (450 m). We recorded 845,229 deaths over eight years of follow-up. Our multi-scale approach indicated that higher values of NDVI were health-protectively associated with mortality risk (hazard ratio [HR]: 0.917, 95 % confidence interval [CI]: 0.886-0.948). Increased noise exposure was associated with an increased risk of mortality (HR: 1.003, 95 % CI: 1.002-1.003), while PM2.5 showed null associations (HR:0.998, 95 % CI: 0.997-1.000). Effect sizes of NDVI and noise differed significantly across the averaged and prespecified buffers (p < 0.05). CONCLUSIONS Geographic uncertainties in residential-based exposure assessments may obscure environment-health associations or risk spurious ones. Our multi-scale approach produced more consistent effect estimates and mitigated contextual uncertainties.
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Affiliation(s)
- Tian Tian
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands.
| | - Mei-Po Kwan
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands; Department of Geography and Resource Management and Institute of Space and Earth Information Science, Chinese University of Hong Kong, Hong Kong, China
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands
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Olbrich HG, Röösli M, Herrmann E, Maschke C, Schadow K, Hähnel T, Rupprecht HJ, Kaltenbach M. Aircraft noise exposure and risk for recurrent cardiovascular events after acute coronary syndrome: A prospective patient cohort study. ENVIRONMENTAL RESEARCH 2023; 238:117108. [PMID: 37690630 DOI: 10.1016/j.envres.2023.117108] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/29/2023] [Accepted: 09/08/2023] [Indexed: 09/12/2023]
Abstract
In several population based cohort studies associations between aircraft noise and various diagnoses of cardiovascular disease were observed. However, no study has yet addressed the risk of recurrences in relation to transportation noise in patients with acute coronary heart disease. We conducted a prospective patient cohort study of 737 individuals recruited from eleven cardiac centers in the Rhine-Main region in the vicinity of Frankfurt Airport. All patients had an angiographically confirmed acute coronary syndrome diagnosed between July 2013 and November 2018. Individual aircraft noise exposure at the place of residence was calculated using Soundplan software, and exposure to road traffic and railway noise was obtained from noise maps provided by the Hessian State Agency. Data was analyzed by means of Cox regression adjusted for relevant confounders. Recurrent event as non-fatal endpoint was defined as myocardial infarction, stroke, bypass surgery or percutaneous coronary intervention with stent implantation. In addition, all-cause mortality was evaluated. Follow-up data including socioeconomic and confounder information was obtained from 663 (90%) patients covering a mean follow-up period of 42 (range: 1-80) months. Mean Lden aircraft noise exposure was 48.1 dB. Adjusted hazard ratio (HR) for recurrence was 1.24 (95%-CI: 0.97-1.58) per 10 dB increase in Lden aircraft noise exposure. A combined analysis of recurrence and all-cause mortality yielded a HR of 1.31 (95%-CI: 1.03-1.66). Similar HRs were found for Lday and Lnight aircraft noise exposure. HRs for road traffic and railway noise were above unity but less pronounced and not significant. Observed exposure-response associations for aircraft noise were more pronounced than previously observed in population-based cohort studies suggesting that acute coronary heart disease patients are particularly vulnerable to effects from transportation noise. Measures to reduce environmental noise exposure may thus be helpful in improving clinical outcome of patients with coronary heart disease.
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Affiliation(s)
| | - Martin Röösli
- Swiss Tropical- and Public Health-Institute, Basel, Switzerland; University Basel, Switzerland
| | - Eva Herrmann
- Institute of Biostatistics and Mathematical Modelling, Goethe University Frankfurt, Germany
| | | | - Kerstin Schadow
- Department of Cardiology, Asklepios Klinik Langen, Langen, Germany
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Mamouei M, Fisher T, Rao S, Li Y, Salimi-Khorshidi G, Rahimi K. A comparative study of model-centric and data-centric approaches in the development of cardiovascular disease risk prediction models in the UK Biobank. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2023; 4:337-346. [PMID: 37538143 PMCID: PMC10393888 DOI: 10.1093/ehjdh/ztad033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 04/01/2023] [Indexed: 08/05/2023]
Abstract
Aims A diverse set of factors influence cardiovascular diseases (CVDs), but a systematic investigation of the interplay between these determinants and the contribution of each to CVD incidence prediction is largely missing from the literature. In this study, we leverage one of the most comprehensive biobanks worldwide, the UK Biobank, to investigate the contribution of different risk factor categories to more accurate incidence predictions in the overall population, by sex, different age groups, and ethnicity. Methods and results The investigated categories include the history of medical events, behavioural factors, socioeconomic factors, environmental factors, and measurements. We included data from a cohort of 405 257 participants aged 37-73 years and trained various machine learning and deep learning models on different subsets of risk factors to predict CVD incidence. Each of the models was trained on the complete set of predictors and subsets where each category was excluded. The results were benchmarked against QRISK3. The findings highlight that (i) leveraging a more comprehensive medical history substantially improves model performance. Relative to QRISK3, the best performing models improved the discrimination by 3.78% and improved precision by 1.80%. (ii) Both model- and data-centric approaches are necessary to improve predictive performance. The benefits of using a comprehensive history of diseases were far more pronounced when a neural sequence model, BEHRT, was used. This highlights the importance of the temporality of medical events that existing clinical risk models fail to capture. (iii) Besides the history of diseases, socioeconomic factors and measurements had small but significant independent contributions to the predictive performance. Conclusion These findings emphasize the need for considering broad determinants and novel modelling approaches to enhance CVD incidence prediction.
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Affiliation(s)
- Mohammad Mamouei
- Corresponding author. Tel: +44 1865 617200, Fax: +44 1865 617202,
| | - Thomas Fisher
- Deep Medicine, Oxford Martin School, University of Oxford, 1st Floor, Hayes House, 75 George Street, Oxford OX1 2BQ, UK
- Nuffield Department of Women’s and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Shishir Rao
- Deep Medicine, Oxford Martin School, University of Oxford, 1st Floor, Hayes House, 75 George Street, Oxford OX1 2BQ, UK
- Nuffield Department of Women’s and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Yikuan Li
- Deep Medicine, Oxford Martin School, University of Oxford, 1st Floor, Hayes House, 75 George Street, Oxford OX1 2BQ, UK
- Nuffield Department of Women’s and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Ghomalreza Salimi-Khorshidi
- Deep Medicine, Oxford Martin School, University of Oxford, 1st Floor, Hayes House, 75 George Street, Oxford OX1 2BQ, UK
- Nuffield Department of Women’s and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Kazem Rahimi
- Deep Medicine, Oxford Martin School, University of Oxford, 1st Floor, Hayes House, 75 George Street, Oxford OX1 2BQ, UK
- Nuffield Department of Women’s and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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Sørensen M, Raaschou-Nielsen O, Poulsen AH, Hvidtfeldt UA, Brandt J, Khan J, Jensen SS, Münzel T, Thacher JD. Long-term exposure to residential transportation noise and mortality: A nationwide cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 328:121642. [PMID: 37061017 DOI: 10.1016/j.envpol.2023.121642] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 05/09/2023]
Abstract
Studies have indicated that transportation noise is associated with higher cardiovascular mortality, whereas evidence of noise as a risk factor for respiratory and cancer mortality is scarce and inconclusive. Also, knowledge on effects of low-level noise on mortality is very limited. We aimed to investigate associations between road and railway noise and natural-cause and cause-specific mortality in the Danish population. We estimated address-specific road and railway noise at the most (LdenMax) and least (LdenMin) exposed façades for all residential addresses in Denmark from 1990 to 2017 using high-quality exposure models. Using these data, we calculated 10-year time-weighted mean noise exposure for 2.6 million Danes aged >50 years, of whom 600,492 died from natural causes during a mean follow-up of 11.7 years. We analyzed data using Cox proportional hazards models with adjustment for individual and area-level sociodemographic variables and air pollution (PM2.5 and NO2). We found that a 10-year mean exposure to road LdenMax and road LdenMin per 10 dB were associated with hazard ratios (95% confidence intervals) of, respectively, 1.09 (1.09; 1.10) and 1.10 (1.10; 1.11) for natural-cause mortality, 1.09 (1.08; 1.10) and 1.09 (1.08; 1.10) for cardiovascular mortality, 1.13 (1.12; 1.14) and 1.17 (1.16; 1.19) for respiratory mortality and 1.03 (1.02; 1.03) and 1.06 (1.05; 1.07) for cancer mortality. For LdenMax, the associations followed linear exposure-response relationships from 35 dB to 60-<65 dB, after which the function levelled off. For LdenMin, exposure-response relationships were linear from 35 dB and up, with some levelling off at high noise levels for natural-cause and cardiovascular mortality. Railway noise did not seem associated with higher mortality in an exposure-response dependent manner. In conclusion, road traffic noise was associated with higher mortality and the increase in risk started well below the current World Health Organization guideline limit for road traffic noise of 53 dB.
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Affiliation(s)
- Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Aslak Harbo Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Ulla Arthur Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Steen Solvang Jensen
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Thomas Münzel
- University Medical Center Mainz of the Johannes Gutenberg University, Center for Cardiology, Cardiology I, Mainz, Germany
| | - Jesse Daniel Thacher
- Work, Environment and Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
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10
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Vienneau D, Stafoggia M, Rodopoulou S, Chen J, Atkinson RW, Bauwelinck M, Klompmaker JO, Oftedal B, Andersen ZJ, Janssen NAH, So R, Lim YH, Flückiger B, Ducret-Stich R, Röösli M, Probst-Hensch N, Künzli N, Strak M, Samoli E, de Hoogh K, Brunekreef B, Hoek G. Association between exposure to multiple air pollutants, transportation noise and cause-specific mortality in adults in Switzerland. Environ Health 2023; 22:29. [PMID: 36967400 PMCID: PMC10041702 DOI: 10.1186/s12940-023-00983-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 03/13/2023] [Indexed: 05/23/2023]
Abstract
BACKGROUND Long-term exposure to air pollution and noise is detrimental to health; but studies that evaluated both remain limited. This study explores associations with natural and cause-specific mortality for a range of air pollutants and transportation noise. METHODS Over 4 million adults in Switzerland were followed from 2000 to 2014. Exposure to PM2.5, PM2.5 components (Cu, Fe, S and Zn), NO2, black carbon (BC) and ozone (O3) from European models, and transportation noise from source-specific Swiss models, were assigned at baseline home addresses. Cox proportional hazards models, adjusted for individual and area-level covariates, were used to evaluate associations with each exposure and death from natural, cardiovascular (CVD) or non-malignant respiratory disease. Analyses included single and two exposure models, and subset analysis to study lower exposure ranges. RESULTS During follow-up, 661,534 individuals died of natural causes (36.6% CVD, 6.6% respiratory). All exposures including the PM2.5 components were associated with natural mortality, with hazard ratios (95% confidence intervals) of 1.026 (1.015, 1.038) per 5 µg/m3 PM2.5, 1.050 (1.041, 1.059) per 10 µg/m3 NO2, 1.057 (1.048, 1.067) per 0.5 × 10-5/m BC and 1.045 (1.040, 1.049) per 10 dB Lden total transportation noise. NO2, BC, Cu, Fe and noise were consistently associated with CVD and respiratory mortality, whereas PM2.5 was only associated with CVD mortality. Natural mortality associations persisted < 20 µg/m3 for PM2.5 and NO2, < 1.5 10-5/m BC and < 53 dB Lden total transportation noise. The O3 association was inverse for all outcomes. Including noise attenuated all outcome associations, though many remained significant. Across outcomes, noise was robust to adjustment to air pollutants (e.g. natural mortality 1.037 (1.033, 1.042) per 10 dB Lden total transportation noise, after including BC). CONCLUSION Long-term exposure to air pollution and transportation noise in Switzerland contribute to premature mortality. Considering co-exposures revealed the importance of local traffic-related pollutants such as NO2, BC and transportation noise.
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Affiliation(s)
- Danielle Vienneau
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland.
- University of Basel, Basel, Switzerland.
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Richard W Atkinson
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mariska Bauwelinck
- Interface Demography - Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, 1050, Belgium
| | - Jochem O Klompmaker
- National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Bente Oftedal
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, 1165, Denmark
| | - Nicole A H Janssen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, 1165, Denmark
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, 1165, Denmark
| | - Benjamin Flückiger
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
| | - Regina Ducret-Stich
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
| | - Martin Röösli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
| | - Nicole Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
| | - Nino Künzli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
| | - Maciek Strak
- National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Kees de Hoogh
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
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11
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Cantuaria ML, Pedersen ER, Poulsen AH, Raaschou-Nielsen O, Hvidtfeldt UA, Levin G, Jensen SS, Schmidt JH, Sørensen M. Transportation Noise and Risk of Tinnitus: A Nationwide Cohort Study from Denmark. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:27001. [PMID: 36722980 PMCID: PMC9891135 DOI: 10.1289/ehp11248] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 06/18/2023]
Abstract
BACKGROUND There is a growing body of evidence linking residential exposure to transportation noise with several nonauditory health outcomes. However, auditory outcomes, such as tinnitus, are virtually unexplored. OBJECTIVES We aimed to investigate the association between residential transportation noise and risk of incident tinnitus. METHODS We conducted a nationwide cohort study including all residents in Denmark age ≥30y, of whom 40,692 were diagnosed with tinnitus. We modeled road traffic and railway noise at the most (Ldenmax) and least (Ldenmin) exposed façades of all Danish addresses from 1990 until 2017. For all participants, we calculated 1-, 5-, and 10-y time-weighted mean noise exposure and retrieved detailed information on individual- and area-level socioeconomic covariates. We conducted analyses using Cox proportional hazards models. RESULTS We found positive associations between exposure to road traffic noise and risk of tinnitus, with hazard ratios of 1.06 [95% confidence interval (CI): 1.04, 1.08] and 1.02 (95% CI: 1.01, 1.03) per 10-dB increase in 10-y Ldenmin and Ldenmax, respectively. Highest risk estimates were found for women, people without a hearing loss, people with high education and income, and people who had never been in a blue-collar job. The association with road Ldenmin followed a positive, monotonic exposure-response relationship. We found no association between railway noise and tinnitus. DISCUSSION To our knowledge, this is the first study to show that residential exposure to road traffic noise may increase risk of tinnitus, suggesting noise may negatively affect the auditory system. If confirmed, this finding adds to the growing evidence of road traffic noise as a harmful pollutant with a substantial health burden. https://doi.org/10.1289/EHP11248.
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Affiliation(s)
- Manuella Lech Cantuaria
- The Mærsk McKinney Møller Institute, University of Southern Denmark, Odense, Denmark
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Ellen Raben Pedersen
- The Mærsk McKinney Møller Institute, University of Southern Denmark, Odense, Denmark
| | - Aslak Harbo Poulsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Ulla Arthur Hvidtfeldt
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Gregor Levin
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Jesper Hvass Schmidt
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Research Unit for ORL – Head and Neck Surgery and Audiology, Odense University Hospital, Odense, Denmark
- OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
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12
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Pyko A, Roswall N, Ögren M, Oudin A, Rosengren A, Eriksson C, Segersson D, Rizzuto D, Andersson EM, Aasvang GM, Engström G, Gudjonsdottir H, Jørgensen JT, Selander J, Christensen JH, Brandt J, Leander K, Overvad K, Eneroth K, Mattisson K, Barregard L, Stockfelt L, Albin M, Simonsen MK, Tiittanen P, Molnar P, Ljungman P, Solvang Jensen S, Gustafsson S, Lanki T, Lim YH, Andersen ZJ, Sørensen M, Pershagen G. Long-Term Exposure to Transportation Noise and Ischemic Heart Disease: A Pooled Analysis of Nine Scandinavian Cohorts. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:17003. [PMID: 36607286 PMCID: PMC9819217 DOI: 10.1289/ehp10745] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 12/09/2022] [Accepted: 12/09/2022] [Indexed: 05/25/2023]
Abstract
BACKGROUND Transportation noise may induce cardiovascular disease, but the public health implications are unclear. OBJECTIVES The study aimed to assess exposure-response relationships for different transportation noise sources and ischemic heart disease (IHD), including subtypes. METHODS Pooled analyses were performed of nine cohorts from Denmark and Sweden, together including 132,801 subjects. Time-weighted long-term exposure to road, railway, and aircraft noise, as well as air pollution, was estimated based on residential histories. Hazard ratios (HRs) were calculated using Cox proportional hazards models following adjustment for lifestyle and socioeconomic risk factors. RESULTS A total of 22,459 incident cases of IHD were identified during follow-up from national patient and mortality registers, including 7,682 cases of myocardial infarction. The adjusted HR for IHD was 1.03 [95% confidence interval (CI) 1.00, 1.05] per 10 dB Lden for both road and railway noise exposure during 5 y prior to the event. Higher risks were indicated for IHD excluding angina pectoris cases, with HRs of 1.06 (95% CI: 1.03, 1.08) and 1.05 (95% CI: 1.01, 1.08) per 10 dB Lden for road and railway noise, respectively. Corresponding HRs for myocardial infarction were 1.02 (95% CI: 0.99, 1.05) and 1.04 (95% CI: 0.99, 1.08). Increased risks were observed for aircraft noise but without clear exposure-response relations. A threshold at around 55 dB Lden was suggested in the exposure-response relation for road traffic noise and IHD. DISCUSSION Exposure to road, railway, and aircraft noise in the prior 5 y was associated with an increased risk of IHD, particularly after exclusion of angina pectoris cases, which are less well identified in the registries. https://doi.org/10.1289/EHP10745.
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Affiliation(s)
- Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Nina Roswall
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Mikael Ögren
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anna Oudin
- Planetary Health, Lund University, Lund, Sweden
- Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | - Annika Rosengren
- Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Charlotta Eriksson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - David Segersson
- Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
- Department of Environmental Science, Stockholm University, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Eva M. Andersson
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Gunn Marit Aasvang
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gunnar Engström
- Department of Clinical Science, Lund University, Malmö, Sweden
| | - Hrafnhildur Gudjonsdottir
- Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | | | - Jenny Selander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate – Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Kristoffer Mattisson
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Lars Barregard
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Leo Stockfelt
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Maria Albin
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Mette K. Simonsen
- Department of Neurology, The Parker Institute, Frederiksberg Hospital, Capital Region, Frederiksberg, Denmark
| | - Pekka Tiittanen
- Department of Health Security, Finnish Institute for Health and Welfare (THL), Kuopio, Finland
| | - Peter Molnar
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | | | | | - Timo Lanki
- Department of Health Security, Finnish Institute for Health and Welfare (THL), Kuopio, Finland
- School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Youn-Hee Lim
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J. Andersen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Centre, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
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13
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Fu W, Liu Y, Yan S, Wen J, Zhang J, Zhang P, Zou L. The association of noise exposure with stroke incidence and mortality: A systematic review and dose-response meta-analysis of cohort studies. ENVIRONMENTAL RESEARCH 2022; 215:114249. [PMID: 36058275 DOI: 10.1016/j.envres.2022.114249] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 08/21/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND AIMS Noise exposure is a major public health challenge with important implications for cardiovascular health. However, the association between noise exposure and stroke risk remains controversial. Therefore, we aimed to evaluate the role of noise exposure on stroke incidence and mortality by conducting a dose-response meta-analysis of cohort studies. METHODS The relevant publications were retrieved via PubMed, Embase, Web of Science, and Scopus up to June 26, 2022. The potential linear and curve relationship between noise and stroke were fitted using the generalized least squares method and restricted cubic spline. We estimated the pooled relative risk (RR) with 95% confidence interval (CI) by random-effect models. The Grading of Recommendations Assessment Development and Evaluation (GRADE) approach was used to evaluate the strength of the results. RESULTS In total, 21 cohort studies with 16,075,204 participants and 311,878 cases were included in the analysis. The risk of stroke incidence increased up to 4% (95% CI:1.02-1.06) and stroke mortality increased up to 3% (95% CI:1.00-1.07), every 10 dB(A) increment in noise exposure. Moreover, each 10 dB(A) increment in noise exposure was associated with a 4% (95% CI:1.01-1.07) increase in ischemic stroke and a 2% (95% CI:1.00-1.04) increase in hemorrhagic stroke. According to GRADE criteria, the evidence level in this study was rated as moderate. CONCLUSIONS The current findings provide further evidence of a dose-response relationship between exposure to noise and the risk of stroke incidence and mortality. Additionally, we update and fill a knowledge gap that the statistically significant increase in stroke incidence when noise decibels are >65 dB(A).
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Affiliation(s)
- Wenning Fu
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yifang Liu
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou, 571199, China
| | - Jing Wen
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jun Zhang
- Department of Endocrinology, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China
| | - Pu Zhang
- Department of Cardiology, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China
| | - Li Zou
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
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14
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Hao G, Zuo L, Weng X, Fei Q, Zhang Z, Chen L, Wang Z, Jing C. Associations of road traffic noise with cardiovascular diseases and mortality: Longitudinal results from UK Biobank and meta-analysis. ENVIRONMENTAL RESEARCH 2022; 212:113129. [PMID: 35358546 DOI: 10.1016/j.envres.2022.113129] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/13/2022] [Accepted: 03/14/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Epidemiological evidence suggests potential associations of road traffic noise exposure with cardiovascular disease (CVD) and mortality, but uncertainty remains. OBJECTIVES We examined the association of road traffic noise with the risk of CVD and mortality in a large longitudinal cohort study and meta-analysis. METHODS We analyzed 342, 566 participants from the UK Biobank who were free of CVD at baseline and had complete covariate data. We also performed a meta-analysis of road traffic noise effects on CVD and mortality by including qualified cohort studies published before April 2021. RESULTS After adjustment for potential confounders, the odds for the risk of stroke, CVD, and all-cause mortality increased by 1.07 (95%CI: 1.01-1.13, P = 0.019), 1.13 (95%CI: 1.04-1.22, P = 0.003) and 1.08 (95%CI: 1.04-1.12, P < 0.001) times per 10 dB increases in road traffic noise, respectively. Among men, high road traffic noise exposure was significantly associated with an increased risk in stroke (HR = 1.08 per 10 dB increase, 95%CI: 1.00-1.16, P = 0.043), CVD (HR = 1.12 per 10 dB increase, 95%CI: 1.02-1.23, P = 0.020) and all-cause mortality (HR = 1.12 per 10 dB increase, 95%CI: 1.07-1.17 P < 0.001), whereas we did not find a significant association in women. The meta-analysis showed that road traffic noise exposure was significantly associated with a high risk of stroke (risk ratio [RR]: 1.06, 95% CI: 1.02-1.11), CVD mortality (RR: 1.03, 95% CI: 1.00-1.05), all-cause mortality (RR: 1.05, 95% CI: 1.02-1.07). CONCLUSIONS This study provides more evidence of increased risk of stroke, CVD, and all-cause mortality in association with exposure to road traffic noise pollution, especially in men.
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Affiliation(s)
- Guang Hao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, 511443, Guangzhou, China.
| | - Lei Zuo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Xueqiong Weng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Qiaoyuan Fei
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Zugui Zhang
- Value Institute, Christiana Care Health System, Newark, DE, 19718, USA
| | - Li Chen
- Georgia Prevention Institute, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
| | - Zengwu Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, Beijing, 102308, China; State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
| | - Chunxia Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, 511443, Guangzhou, China.
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15
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Bustaffa E, Curzio O, Donzelli G, Gorini F, Linzalone N, Redini M, Bianchi F, Minichilli F. Risk Associations between Vehicular Traffic Noise Exposure and Cardiovascular Diseases: A Residential Retrospective Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191610034. [PMID: 36011669 PMCID: PMC9408081 DOI: 10.3390/ijerph191610034] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 05/28/2023]
Abstract
Environmental noise can induce detrimental health effects such as cardiovascular disease (CVD). The relationship between vehicular traffic noise pollution and CVD was investigated through a retrospective residential cohort study in the city of Pisa. Four exposure classes were defined for noise pollution, using noise propagation maps. The association between noise exposures and cause-specific mortality or hospitalization of the subjects of the cohort was calculated using the hazard ratio (HR) for night and day through a multiple time-dependent and sex-specific Cox regression adjusting for age, the socio-economic deprivation index, and traffic air pollution. Mortality excess for CVD and risk trends for a 1 decibel noise increment were observed among the most exposed women (mortality: HRnightclass4 1.15 (1.03-1.28); Trendnight 1.007 (1.002-1.012); HRdayclass4 1.14 (1.02-1.27); Trendday 1.008 (1.003-1.013)), particularly for ischaemic disease (mortality: Trendnight 1.008 (0.999-1.017); Trendday 1.009 (0.999-1.018)) and cerebrovascular disease (mortality: HRnightclass3 1.23 (1.02-1.48), HRdayclass3 1.24 (1.03-1.49)). Hospitalization analyses confirm mortality results. A decreased risk for hospitalization was also observed among the most exposed men (HRdayclass4 0.94 (0.88-1.01), particularly for ischaemic disease (HRnightclass4 0.90 (0.80-1.02); HRdayclass4 0.86 (0.77-0.97)) and cerebrovascular disease (HRnightclass4 0.89 (0.78-1.01)). Authors recommend the adoption of prevention measures aimed at mitigating noise and the activation of a monitoring of the risk profile in the Pisa population updating both the residential cohort and health data.
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Affiliation(s)
- Elisa Bustaffa
- Unit of Environmental Epidemiology and Disease Registries, Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
| | - Olivia Curzio
- Unit of Environmental Epidemiology and Disease Registries, Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
| | - Gabriele Donzelli
- Unit of Environmental Epidemiology and Biocomplexity Laboratory, Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
| | - Francesca Gorini
- Unit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
| | - Nunzia Linzalone
- Unit of Environmental Epidemiology and Biocomplexity Laboratory, Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
| | - Marco Redini
- Municipality of Pisa, Via degli Uffizi 1, 56100 Pisa, Italy
| | - Fabrizio Bianchi
- Unit of Environmental Epidemiology and Disease Registries, Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
| | - Fabrizio Minichilli
- Unit of Environmental Epidemiology and Disease Registries, Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
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Mamouei M, Zhu Y, Nazarzadeh M, Hassaine A, Salimi-Khorshidi G, Cai Y, Rahimi K. Investigating the association of environmental exposures and all-cause mortality in the UK Biobank using sparse principal component analysis. Sci Rep 2022; 12:9239. [PMID: 35654993 PMCID: PMC9163152 DOI: 10.1038/s41598-022-13362-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/13/2022] [Indexed: 11/18/2022] Open
Abstract
Multicollinearity refers to the presence of collinearity between multiple variables and renders the results of statistical inference erroneous (Type II error). This is particularly important in environmental health research where multicollinearity can hinder inference. To address this, correlated variables are often excluded from the analysis, limiting the discovery of new associations. An alternative approach to address this problem is the use of principal component analysis. This method, combines and projects a group of correlated variables onto a new orthogonal space. While this resolves the multicollinearity problem, it poses another challenge in relation to interpretability of results. Standard hypothesis testing methods can be used to evaluate the association of projected predictors, called principal components, with the outcomes of interest, however, there is no established way to trace the significance of principal components back to individual variables. To address this problem, we investigated the use of sparse principal component analysis which enforces a parsimonious projection. We hypothesise that this parsimony could facilitate the interpretability of findings. To this end, we investigated the association of 20 environmental predictors with all-cause mortality adjusting for demographic, socioeconomic, physiological, and behavioural factors. The study was conducted in a cohort of 379,690 individuals in the UK. During an average follow-up of 8.05 years (3,055,166 total person-years), 14,996 deaths were observed. We used Cox regression models to estimate the hazard ratio (HR) and 95% confidence intervals (CI). The Cox models were fitted to the standardised environmental predictors (a) without any transformation (b) transformed with PCA, and (c) transformed with SPCA. The comparison of findings underlined the potential of SPCA for conducting inference in scenarios where multicollinearity can increase the risk of Type II error. Our analysis unravelled a significant association between average noise pollution and increased risk of all-cause mortality. Specifically, those in the upper deciles of noise exposure have between 5 and 10% increased risk of all-cause mortality compared to the lowest decile.
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Affiliation(s)
- Mohammad Mamouei
- Deep Medicine, Nuffield Department of Women's & Reproductive Health, Oxford Martin School, University of Oxford, 1st Floor, Haye House, 75 George Street, Oxford, OX1 2BQ, UK.
| | - Yajie Zhu
- Deep Medicine, Nuffield Department of Women's & Reproductive Health, Oxford Martin School, University of Oxford, 1st Floor, Haye House, 75 George Street, Oxford, OX1 2BQ, UK
| | - Milad Nazarzadeh
- Deep Medicine, Nuffield Department of Women's & Reproductive Health, Oxford Martin School, University of Oxford, 1st Floor, Haye House, 75 George Street, Oxford, OX1 2BQ, UK
| | - Abdelaali Hassaine
- Deep Medicine, Nuffield Department of Women's & Reproductive Health, Oxford Martin School, University of Oxford, 1st Floor, Haye House, 75 George Street, Oxford, OX1 2BQ, UK
| | - Gholamreza Salimi-Khorshidi
- Deep Medicine, Nuffield Department of Women's & Reproductive Health, Oxford Martin School, University of Oxford, 1st Floor, Haye House, 75 George Street, Oxford, OX1 2BQ, UK
| | - Yutong Cai
- Deep Medicine, Nuffield Department of Women's & Reproductive Health, Oxford Martin School, University of Oxford, 1st Floor, Haye House, 75 George Street, Oxford, OX1 2BQ, UK
| | - Kazem Rahimi
- Deep Medicine, Nuffield Department of Women's & Reproductive Health, Oxford Martin School, University of Oxford, 1st Floor, Haye House, 75 George Street, Oxford, OX1 2BQ, UK
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Veber T, Tamm T, Ründva M, Kriit HK, Pyko A, Orru H. Health impact assessment of transportation noise in two Estonian cities. ENVIRONMENTAL RESEARCH 2022; 204:112319. [PMID: 34740439 DOI: 10.1016/j.envres.2021.112319] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 10/27/2021] [Accepted: 10/29/2021] [Indexed: 06/13/2023]
Abstract
Transportation noise is a growing public health concern worldwide, especially in urban areas, causing annoyance, sleep disturbance, cardiovascular diseases and other health effects. Recently, European Commission (EC) has developed a mutual methodology for assessing health impacts of transportation noise in European Union using strategic noise mapping. Applying this methodology, our aim was to quantify the health effects of road, rail and aircraft noise in two Estonian cities, Tallinn and Tartu. We also aimed to assess sensitivity of this methodology, while implementing lower threshold values and employing additional health outcomes. The proportion of highly annoyed residents due to road traffic noise was 11.6% in Tallinn, and 9.2% in Tartu; around 2.5% residents in both cities could have high sleeping disturbances. As exposure to railway and aircraft noise was relatively low in both cities, people with high annoyance and high sleep disturbance caused by railway and aircraft noise was below 1%. Ischemic heart disease (IHD) cases attributable to road traffic noise was estimated to be 122.6 in Tallinn and 21.5 in Tartu. Altogether transportation noise was estimated to cause 1807 disability adjusted life years (DALYs) in Tallinn and 370 DALYs in Tartu. The health costs were calculated as €126.5 and €25.9 million annually, respectively in the two cities. When we included higher number of health outcomes (stroke incidence, IHD deaths) and lowered exposure threshold by 5 dB, the annual burden of disease was doubled. As the latest epidemiological studies showed transportation noise having larger number of effects on lower noise levels, the results with the currently applied European Commission health impact assessment (HIA) methodology were rather conservative. Despite of uncertainties associated to applied methodology, transportation noise, especially road traffic noise, is an important environmental risk factor, that leads to considerable loss of healthy life years and causes large health costs in urban areas.
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Affiliation(s)
- Triin Veber
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
| | - Tanel Tamm
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | | | - Hedi Katre Kriit
- Sustainable Health, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | - Anderi Pyko
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hans Orru
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia; Sustainable Health, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
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Vienneau D, Saucy A, Schäffer B, Flückiger B, Tangermann L, Stafoggia M, Wunderli JM, Röösli M. Transportation noise exposure and cardiovascular mortality: 15-years of follow-up in a nationwide prospective cohort in Switzerland. ENVIRONMENT INTERNATIONAL 2022; 158:106974. [PMID: 34775186 DOI: 10.1016/j.envint.2021.106974] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/05/2021] [Accepted: 11/06/2021] [Indexed: 05/26/2023]
Abstract
BACKGROUND Death from cardiovascular diseases (CVD) has been associated with transportation noise. This nationwide cohort, with state-of-the-art exposure assessment, evaluates these associations by noise source. METHODS Road traffic, railway and aircraft noise for 2001 and 2011 were linked to 4.1 million adults in the Swiss National Cohort, accounting for address history. Mean noise exposure in 5-year periods was calculated. Time-varying Cox regression models, with age as timescale, were applied to all and cause-specific cardiovascular causes of death. Models included all three noise sources plus PM2.5, adjusted for individual and spatial covariates. Nighttime noise events for all sources combined (expressed as intermittency ratio or number of events) were considered in sensitivity analyses. Absolute excess risk was calculated by multiplying deaths/100,000 person-years by the excess risk (hazard ratio-1) within each age/sex group. RESULTS During a 15-year follow-up, there were 277,506 CVD and 34,200 myocardial infarction (MI) deaths. Associations (hazard ratio; 95%-CIs) for road traffic, railway and aircraft noise and CVD mortality were 1.029 (1.024-1.034), 1.013 (1.010-1.017), and 1.003 (0.996-1.010) per 10 dB Lden, respectively. Associations for MI mortality were a respective 1.043 (1.029-1.058), 1.020 (1.010-1.030) and 1.040 (1.020-1.060) per 10 dB Lden. Blood pressure-related, ischemic heart disease, and all stroke mortality were significantly associated with road traffic and railway noise, while ischemic stroke mortality was associated with aircraft noise. Associations were mostly linear, often starting below 40 dB Lden for road traffic and railway noise. Higher levels of noise intermittency were also independently associated with each outcome. While the absolute number of deaths attributed to noise increased with age, the hazard ratios declined with age. Relative and absolute risk was higher in males compared to females. CONCLUSION Independent of air pollution, transportation noise exposure is associated with all and cause-specific CVD mortality, with effects starting below current guideline limits.
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Affiliation(s)
- Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Apolline Saucy
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Barcelona Institute for Global Health, Barcelona, Spain
| | - Beat Schäffer
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Acoustics/Noise Control, Dübendorf, Switzerland
| | - Benjamin Flückiger
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Louise Tangermann
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Massimo Stafoggia
- Department of Epidemiology (DEP) Lazio Regional Health Service, Rome, Italy
| | - Jean Marc Wunderli
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Acoustics/Noise Control, Dübendorf, Switzerland
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
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19
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Thacher JD, Poulsen AH, Hvidtfeldt UA, Raaschou-Nielsen O, Brandt J, Geels C, Khan J, Münzel T, Sørensen M. Long-Term Exposure to Transportation Noise and Risk for Type 2 Diabetes in a Nationwide Cohort Study from Denmark. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:127003. [PMID: 34855467 PMCID: PMC8638828 DOI: 10.1289/ehp9146] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
BACKGROUND Epidemiologic studies have linked transportation noise to increased morbidity and mortality, particularly for cardiovascular outcomes. However, studies investigating metabolic outcomes such as diabetes are limited and have focused only on noise exposures estimated for the loudest residential façade. OBJECTIVES We aimed to examine the influence of long-term residential exposure to transportation noise at the loudest and quietest residential façades and the risk for type 2 diabetes. METHODS Road traffic and railway noise exposures (Lden) at the most and least exposed façades were estimated for all dwellings in Denmark during 1990-2017. Aircraft noise was estimated in 5-dB categories. Ten-year time-weighted mean noise exposures were estimated for 3.56 million individuals ≥35 years of age. From 2000 to 2017, 233,912 incident cases of type 2 diabetes were identified using hospital and prescription registries, with a mean follow-up of 12.9 y. We used Cox proportional hazards models adjusting for individual- and area-level covariates and long-term residential air pollution. The population-attributable fraction (PAF) was also computed. RESULTS Hazard ratios (HRs) and 95% confidence intervals (CIs) for type 2 diabetes in association with 10-dB increases in 10-y mean road traffic noise at the most and least exposed façades, respectively, were 1.05 (95% CI: 1.04, 1.05) and 1.09 (95% CI: 1.08, 1.10). Following subsequent adjustment for fine particulate matter [particulate matter ≤2.5μm in aerodynamic diameter] (10-y mean), the HRs (CIs) were 1.03 (95% CI: 1.03, 1.04) and 1.08 (95% CI: 1.07, 1.09), respectively. For railway noise, the HRs per 10-dB increase in 10-y mean exposure were 1.03 (95% CI: 1.02, 1.04) and 1.02 (95% CI: 1.01, 1.04) for the most and least exposed façades, respectively. Categorical models supported a linear exposure-outcome relationship for road traffic noise and, to a lesser extent, for railway noise. Aircraft noise >45 dB was associated with a 1-4% higher likelihood of type 2 diabetes compared with those who were unexposed. We found road traffic and railway noise associated with a PAF of 8.5% and 1.4%, respectively, of the diabetes cases. DISCUSSION Long-term exposure to road, railway, and possibly aircraft traffic noise was associated with an increased risk of type 2 diabetes in a nationwide cohort of Danish adults. Our findings suggest that diabetes should be included when estimating the burden of disease due to transportation noise. https://doi.org/10.1289/EHP9146.
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Affiliation(s)
- Jesse D. Thacher
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Aslak H. Poulsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ulla A. Hvidtfeldt
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Danish Big Data Centre for Environment and Health, Aarhus University, Roskilde, Denmark
| | - Thomas Münzel
- Center for Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
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Klompmaker JO, Laden F. Invited Perspective: Diabetes and Road Traffic Noise at the Most and Least Exposed Façade. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:121301. [PMID: 34855469 PMCID: PMC8638814 DOI: 10.1289/ehp10347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Affiliation(s)
- Jochem O. Klompmaker
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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21
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Cole-Hunter T, Dehlendorff C, Amini H, Mehta A, Lim YH, Jørgensen JT, Li S, So R, Mortensen LH, Westendorp R, Hoffmann B, Bräuner EV, Ketzel M, Hertel O, Brandt J, Jensen SS, Christensen JH, Geels C, Frohn LM, Backalarz C, Simonsen MK, Loft S, Andersen ZJ. Long-term exposure to road traffic noise and stroke incidence: a Danish Nurse Cohort study. Environ Health 2021; 20:115. [PMID: 34740347 PMCID: PMC8571835 DOI: 10.1186/s12940-021-00802-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 10/26/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Road traffic noise has been linked to increased risk of ischemic heart disease, yet evidence on stroke shows mixed results. We examine the association between long-term exposure to road traffic noise and incidence of stroke, overall and by subtype (ischemic or hemorrhagic), after adjustment for air pollution. METHODS Twenty-five thousand six hundred and sixty female nurses from the Danish Nurse Cohort recruited in 1993 or 1999 were followed for stroke-related first-ever hospital contact until December 31st, 2014. Full residential address histories since 1970 were obtained and annual means of road traffic noise (Lden [dB]) and air pollutants (particulate matter with diameter < 2.5 μm and < 10 μm [PM2.5 and PM10], nitrogen dioxide [NO2], nitrogen oxides [NOx]) were determined using validated models. Time-varying Cox regression models were used to estimate hazard ratios (HR) (95% confidence intervals [CI]) for the associations of one-, three-, and 23-year running means of Lden preceding stroke (all, ischemic or hemorrhagic), adjusting for stroke risk factors and air pollutants. The World Health Organization and the Danish government's maximum exposure recommendations of 53 and 58 dB, respectively, were explored as potential Lden thresholds. RESULTS Of 25,660 nurses, 1237 developed their first stroke (1089 ischemic, 148 hemorrhagic) during 16 years mean follow-up. For associations between a 1-year mean of Lden and overall stroke incidence, the estimated HR (95% CI) in the fully adjusted model was 1.06 (0.98-1.14) per 10 dB, which attenuated to 1.01 (0.93-1.09) and 1.00 (0.91-1.09) in models further adjusted for PM2.5 or NO2, respectively. Associations for other exposure periods or separately for ischemic or hemorrhagic stroke were similar. There was no evidence of a threshold association between Lden and stroke. CONCLUSIONS Long-term exposure to road traffic noise was suggestively positively associated with the risk of overall stroke, although not after adjusting for air pollution.
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Affiliation(s)
- Tom Cole-Hunter
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Centre for Air Pollution, Energy, and Health Research, University of New South Wales, Sydney, NSW Australia
| | - Christian Dehlendorff
- Statistics and Data Analysis, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Heresh Amini
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Amar Mehta
- Denmark Statistics, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Youn-Hee Lim
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T. Jørgensen
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shuo Li
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rina So
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Laust H. Mortensen
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Rudi Westendorp
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine-University of Düsseldorf, Düsseldorf, Germany
| | - Elvira V. Bräuner
- Department of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, UK
| | - Ole Hertel
- Department of Bioscience, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | | | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Lise M. Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Mette K. Simonsen
- Diakonissestiftelsen, Frederiksberg, Denmark
- The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Steffen Loft
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J. Andersen
- Environmental Epidemiology Group, Section of Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Cantuaria ML, Waldorff FB, Wermuth L, Pedersen ER, Poulsen AH, Thacher JD, Raaschou-Nielsen O, Ketzel M, Khan J, Valencia VH, Schmidt JH, Sørensen M. Residential exposure to transportation noise in Denmark and incidence of dementia: national cohort study. BMJ 2021; 374:n1954. [PMID: 34497091 PMCID: PMC8424489 DOI: 10.1136/bmj.n1954] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To investigate the association between long term residential exposure to road traffic and railway noise and risk of incident dementia. DESIGN Nationwide prospective register based cohort study. SETTING Denmark. PARTICIPANTS 1 938 994 adults aged ≥60 years living in Denmark between 1 January 2004 and 31 December 2017. MAIN OUTCOME MEASURES Incident cases of all cause dementia and dementia subtypes (Alzheimer's disease, vascular dementia, and Parkinson's disease related dementia), identified from national hospital and prescription registries. RESULTS The study population included 103 500 participants with incident dementia, and of those, 31 219 received a diagnosis of Alzheimer's disease, 8664 of vascular dementia, and 2192 of Parkinson's disease related dementia. Using Cox regression models, 10 year mean exposure to road traffic and railway noise at the most (Ldenmax) and least (Ldenmin) exposed façades of buildings were associated with a higher risk of all cause dementia. These associations showed a general pattern of higher hazard ratios with higher noise exposure, but with a levelling off or even small declines in risk at higher noise levels. In subtype analyses, both road traffic noise and railway noise were associated with a higher risk of Alzheimer's disease, with hazard ratios of 1.16 (95% confidence interval 1.11 to 1.22) for road Ldenmax ≥65 dB compared with <45 dB, 1.27 (1.22 to 1.34) for road Ldenmin ≥55 dB compared with <40 dB, 1.16 (1.10 to 1.23) for railway Ldenmax ≥60 dB compared with <40 dB, and 1.24 (1.17 to 1.30) for railway Ldenmin ≥50 dB compared with <40 dB. Road traffic, but not railway, noise was associated with an increased risk of vascular dementia. Results indicated associations between road traffic Ldenmin and Parkinson's disease related dementia. CONCLUSIONS This nationwide cohort study found transportation noise to be associated with a higher risk of all cause dementia and dementia subtypes, especially Alzheimer's disease.
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Affiliation(s)
- Manuella Lech Cantuaria
- The Mærsk McKinney Møller Institute, University of Southern Denmark, Odense, Denmark
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Frans Boch Waldorff
- Department of Public Health, The Research Unit for General Practice and Section of General Practice, University of Copenhagen, Copenhagen, Denmark
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Lene Wermuth
- Department of Neurology, Slagelse Hospital, Slagelse, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Ellen Raben Pedersen
- The Mærsk McKinney Møller Institute, University of Southern Denmark, Odense, Denmark
| | - Aslak Harbo Poulsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jesse Daniel Thacher
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - Victor H Valencia
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jesper Hvass Schmidt
- Research Unit for ORL - Head and Neck Surgery and Audiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- OPEN, Odense Patient data Explorative Network, Odense University Hospital, Odense, Denmark
- BRIDGE, Brain Research - Inter-Disciplinary Guided Excellence, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
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Environmental Conditions of Dance Rooms and Its Impact on Dance Conservatories Teachers' Health (An Andalusian Study). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105319. [PMID: 34067730 PMCID: PMC8157145 DOI: 10.3390/ijerph18105319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 05/05/2021] [Accepted: 05/07/2021] [Indexed: 11/17/2022]
Abstract
Dance teachers have to be in long hours dancing. That entails repetitive movements, loud live music, and as well as forcing their voices. These demands can implicate severe health problems and other kind of illness as discomfort, stress, etc. However, the Spanish Ministry of Health only recognize as professional disease for this line of work, the vocal nodules. For this reason, this research studies the health problems in dance teachers in Andalusia, correlating the results of a survey carried out in different conservatories from Andalusia with measurement of noise emissions levels, assessment of noise exposure, and assessment of thermal environment in the classes measuring the thermal environment variables. To the authors' knowledge, this is the first study where the influence of several sounds, such as tapping, castanets, and live music, on the health of dance teachers, musicians, and singers during flamenco classes has been researched. Results showed a correlation between some diseases, such as stress and the high level of sound in the classes. The sound levels were well above those established by European regulations reaching values higher than 85 dB(A) as equivalent continuous sound levels during the class time. This European regulation is stablished for an 8 h/day period, five days per week. The thermal environments are no adequate for this activity, mainly for high temperatures in Cordoba during summer. To improve the current working conditions, some recommendations were given to reduce the number of class hours and establish rest shifts, provide more information on health risks, or renovate the floor of some classrooms.
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Münzel T, Miller MR, Sørensen M, Lelieveld J, Daiber A, Rajagopalan S. Reduction of environmental pollutants for prevention of cardiovascular disease: it's time to act. Eur Heart J 2021; 41:3989-3997. [PMID: 33141181 PMCID: PMC7672530 DOI: 10.1093/eurheartj/ehaa745] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 07/24/2020] [Accepted: 08/31/2020] [Indexed: 12/11/2022] Open
Affiliation(s)
- Thomas Münzel
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Mark R Miller
- University/BHF Centre for Cardiovascular Sciences, University of Edinburgh, UK
| | - Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Jos Lelieveld
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Sanjay Rajagopalan
- Division of Cardiovascular Medicine, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Case Western Reserve School of Medicine, 11100 Euclid Avenue, Cleveland, OH 44106, USA
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25
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Redel-Macías MD, Aparicio-Martinez P, Pinzi S, Arezes P, Cubero-Atienza AJ. Monitoring Sound and Its Perception during the Lockdown and De-Escalation of COVID-19 Pandemic: A Spanish Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:3392. [PMID: 33805936 PMCID: PMC8036401 DOI: 10.3390/ijerph18073392] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/06/2021] [Accepted: 03/22/2021] [Indexed: 12/14/2022]
Abstract
The lockdown measures in Spain due to the SARS-CoV-2 or COVID-19 (Coronavirus disease 2019) pandemic from 13 March to 21 June 2020 had extensive social and environmental implications. This study aims to understand how the measures of lockdown have influenced noise levels, as well as people's perception of sound quality before and after lockdown, including de-escalation. For this purpose, an online survey was carried out. Moreover, the noise linked to the Global Positioning System (GPS) position of each individual respondent was recorded aiming to correlate the noise level with the result of the survey. An average reduction of over 30 dB was observed compared with the sound pressure level before lockdown. Furthermore, it was found that the loudness parameter, together with the overall level, increased as the country started relaxing restrictions. Additionally, results showed that the perception of noise quality changed depending on the phase of de-escalation (p < 0.01), the type of property (p < 0.05), and the outside noise (p < 0.01). Moreover, noise annoyance was determined considering age (p < 0.01), gender (p < 0.05), type of property (p < 0.001), and home refurbishment (p < 0.05). It may be concluded that the most important measure to decrease noise levels is the reduction of traffic noise, through using eco-friendly public transportation or bicycles and limiting nightlife hours.
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Affiliation(s)
- María Dolores Redel-Macías
- Department of Rural Engineering, EPS, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain
| | - Pilar Aparicio-Martinez
- Department of Nursing, Pharmacology and Physiotherapy, Faculty of Medicine and Nursing, Universidad de Córdoba, 14014 Córdoba, Spain
| | - Sara Pinzi
- Department of Physical Chemistry and Applied Thermodynamics, EPS, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain
| | - Pedro Arezes
- ALGORITMI Centre, School of Engineering of the University of Minho, 4800-058 Guimarães, Portugal
| | - Antonio José Cubero-Atienza
- Department of Rural Engineering, EPS, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain
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26
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Cai Y, Ramakrishnan R, Rahimi K. Long-term exposure to traffic noise and mortality: A systematic review and meta-analysis of epidemiological evidence between 2000 and 2020. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 269:116222. [PMID: 33307398 DOI: 10.1016/j.envpol.2020.116222] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 12/01/2020] [Accepted: 12/02/2020] [Indexed: 06/12/2023]
Abstract
We aimed to update the evidence-base of long-term noise exposures from road, rail, and aircraft traffic on both non-accidental and cardiovascular mortality. A systematic review and meta-analysis were conducted following PRISMA guidelines. The literature was searched using PubMed, Scopus, Web of Science, and EMBASE for the period between January 01, 2000 and October 05, 2020. 13 studies were selected for final review. The risk of bias and overall quality of evidence was evaluated using a pre-defined list of criteria. Risk estimates from each study were converted into per 10 dB higher of Lden for each traffic source. Inverse-Variance heterogeneity (I-Vhet) meta-analysis was used to pool these individual risk estimates, along with assessment of heterogeneity and publication bias. Sensitivity analyses include using random-effect model and leave-one-out meta-analysis. Subgroup analyses by study design and noise exposure assessment were conducted to explore potential sources of heterogeneity. For road traffic, the pooled relative risk (RR) per 10 dB higher Lden for mortality from non-accidental causes was 1.01 (95% CI: 0.98, 1.05) (5 studies, I2 = 78%), CVD was 1.01 (95% CI: 0.98, 1.05) (5 studies, I2 = 41%), ischemic heart disease (IHD) was 1.03 (95% CI: 0.99, 1.08) (7 studies, I2 = 46%), and stroke was 1.05 (95% CI: 0.97, 1.14) (5 studies, I2 = 62%). The overall quality of evidence for most meta-analyses was rated as very low to low, except for CVD or IHD mortality, for which the quality of evidence was rated as moderate. A possible threshold of 53 dB was visually suggested for CVD-related mortality from road traffic noise in the trend analysis. For aircraft noise, pooled estimates were based on fewer studies and varied by mortality outcomes. Evidence of long-term exposure to traffic noise on mortality remains weak except the association between road traffic noise and IHD mortality. High-quality longitudinal studies are required to better characterise mortality effects of traffic noise.
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Affiliation(s)
- Yutong Cai
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Deep Medicine Programme, Oxford Martin School, University of Oxford, Oxford, United Kingdom.
| | - Rema Ramakrishnan
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Deep Medicine Programme, Oxford Martin School, University of Oxford, Oxford, United Kingdom
| | - Kazem Rahimi
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Deep Medicine Programme, Oxford Martin School, University of Oxford, Oxford, United Kingdom
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