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Altug H, Ogurtsova K, Breyer-Kohansal R, Schiffers C, Ofenheimer A, Tzivian L, Hartl S, Hoffmann B, Lucht S, Breyer MK. Associations of long-term exposure to air pollution and noise with body composition in children and adults: Results from the LEAD general population study. ENVIRONMENT INTERNATIONAL 2024; 189:108799. [PMID: 38865830 DOI: 10.1016/j.envint.2024.108799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 04/30/2024] [Accepted: 06/02/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND While long-term air pollution and noise exposure has been linked to increasing cardiometabolic disease risk, potential effects on body composition remains unclear. This study aimed to investigate the associations of long-term air pollution, noise and body composition. METHODS We used repeated data from the LEAD (Lung, hEart, sociAl, boDy) study conducted in Vienna, Austria. Body mass index (BMI; kg/m2), fat mass index (FMI; z-score), and lean mass index (LMI; z-score) were measured using dual-energy x-ray absorptiometry at the first (t0; 2011-ongoing) and second (t1; 2017-ongoing) examinations. Annual particulate matter (PM10) and nitrogen dioxide (NO2) concentrations were estimated with the GRAMM/GRAL model (2015-2021). Day-evening-night (Lden) and night-time (Lnight) noise levels from transportation were modeled for 2017 following the European Union Directive 2002/49/EC. Exposures were assigned to residential addresses. We performed analyses separately in children/adolescents and adults, using linear mixed-effects models with random participant intercepts and linear regression models for cross-sectional and longitudinal associations, respectively. Models were adjusted for co-exposure, lifestyle and sociodemographics. RESULTS A total of 19,202 observations (nt0 = 12,717, nt1 = 6,485) from participants aged 6-86 years (mean age at t0 = 41.0 years; 52.9 % female; mean PM10 = 21 µg/m3; mean follow-up time = 4.1 years) were analyzed. Among children and adolescents (age ≤ 18 years at first visit), higher PM10exposure was cross-sectionally associated with higher FMI z-scores (0.09 [95 % Confidence Interval (CI): 0.03, 0.16]) and lower LMI z-scores (-0.05 [95 % CI: -0.10, -0.002]) per 1.8 µg/m3. Adults showed similar trends in cross-sectional associations as children, though not reaching statistical significance. We observed no associations for noise exposures. Longitudinal analyses on body composition changes over time yielded positive associations for PM10, but not for other exposures. CONCLUSION Air pollution exposure, mainly PM10, was cross-sectionally and longitudinally associated with body composition in children/adolescents and adults. Railway/road-traffic noise exposures showed no associations in both cross-sectional and longitudinal analyses.
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Affiliation(s)
- Hicran Altug
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany.
| | - Katherine Ogurtsova
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany
| | - Robab Breyer-Kohansal
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria; Department of Respiratory and Pulmonary Diseases, Vienna Healthcare Group, Clinic Hietzing, Vienna, Austria
| | | | - Alina Ofenheimer
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria; NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Lilian Tzivian
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany; Institute of Clinical and Preventive Medicine, University of Latvia, Riga, Latvia
| | - Sylvia Hartl
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria; Sigmund Freud University, Faculty of Medicine, Vienna, Austria
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany
| | - Sarah Lucht
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany; Cardinal Health, Dublin, OH, USA
| | - Marie-Kathrin Breyer
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria; Department of Respiratory and Pulmonary Diseases, Vienna Healthcare Group, Clinic Penzing, Vienna, Austria
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Kumar K, Bhartia A, Mishra RK, Jadon RPS, Kumar J. Diurnal rail noise measurement, analysis, and evaluation of associated health impacts on residents living in the proximity of rail track area. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:543. [PMID: 38740673 DOI: 10.1007/s10661-024-12681-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 04/27/2024] [Indexed: 05/16/2024]
Abstract
In India, railway is the major transportation mode for carrying goods and people. The tracks for the movement of the rail were initially constructed in the city for the pre-eminence and expediency of the vantage of the people. Rapid modernization and increasing population in the city crammed the area around the railway tracks. Moving rail on the tracks passing through the city is not compatible, which is creating problems for the nearby residents. In the urban and suburban regions, the railway noise has become a major problem. This study was conducted to examine the perception of the physiological and psychological effects of railway noise in the nearby areas of railway stations in Delhi, India. For this purpose, 10 sites near the railway station were selected for the study. To assess the impact of railway noise pollution on the health of humans, a questionnaire survey was conducted. The data of 344 individuals were collected through the questionnaire survey and analyzed to get the perception towards railway noise. Noise level was monitored by a Sound Level Meter (SLM) and the equivalent noise level (Leq) in dB(A) was used to compute the noise pollution in three shifts, i.e., morning, noon, and evening time. Results showed that 57.65% of female and 86.11% of male respondents in the survey reported the disturbance due to railway noise. The level of noise pollution was found higher in the evening time as compared to the noon and morning period, which exceeds the limit set by the Central Pollution Control Board (CPCB) at all the monitored locations. Findings of the study show that the primary cause of the health problems is railroad noise, which is negatively impacting the health of the residents, who are living in the proximity of the rail track region. The perception survey reported that headache, sleep disturbance, irritation, and stress are common health issues among the locals residing around the railway track proximity in Delhi.
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Affiliation(s)
- Kranti Kumar
- School of Liberal Studies, Dr. B. R. Ambedkar University Delhi, Delhi, 110006, India.
- Department of Mathematics, Central University of Himachal Pradesh, Dharamshala, 176206, India.
| | - Arun Bhartia
- School of Liberal Studies, Dr. B. R. Ambedkar University Delhi, Delhi, 110006, India
| | - Rajeev Kumar Mishra
- Department of Environmental Engineering, Delhi Technological University, Delhi, 110042, India
| | - Ravi Pratap Singh Jadon
- Department of Environmental Engineering, Delhi Technological University, Delhi, 110042, India
| | - Jitendra Kumar
- Department of Mathematics, Central University of Haryana, Mahendragarh, 123031, India
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Bozigar M, Laden F, Hart JE, Redline S, Huang T, Whitsel EA, Nelson EJ, Grady ST, Levy JI, Peters JL. Aircraft noise exposure and body mass index among female participants in two Nurses' Health Study prospective cohorts living around 90 airports in the United States. ENVIRONMENT INTERNATIONAL 2024; 187:108660. [PMID: 38677085 DOI: 10.1016/j.envint.2024.108660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 04/10/2024] [Accepted: 04/14/2024] [Indexed: 04/29/2024]
Abstract
OBJECTIVE Aircraft noise exposure is linked to cardiovascular disease risk. One understudied candidate pathway is obesity. This study investigates the association between aircraft noise and obesity among female participants in two prospective Nurses' Health Study (NHS and NHSII) cohorts. METHODS Aircraft day-night average sound levels (DNL) were estimated at participant residential addresses from modeled 1 dB (dB) noise contours above 44 dB for 90 United States (U.S.) airports in 5-year intervals 1995-2010. Biennial surveys (1994-2017) provided information on body mass index (BMI; dichotomized, categorical) and other individual characteristics. Change in BMI from age 18 (BMI18; tertiles) was also calculated. Aircraft noise exposures were dichotomized (45, 55 dB), categorized (<45, 45-54, ≥55 dB) or continuous for exposure ≥45 dB. Multivariable multinomial logistic regression using generalized estimating equations were adjusted for individual characteristics and neighborhood socioeconomic status, greenness, population density, and environmental noise. Effect modification was assessed by U.S. Census region, climate boundary, airline hub type, hearing loss, and smoking status. RESULTS At baseline, the 74,848 female participants averaged 50.1 years old, with 83.0%, 14.8%, and 2.2% exposed to <45, 45-54, and ≥55 dB of aircraft noise, respectively. In fully adjusted models, exposure ≥55 dB was associated with 11% higher odds (95% confidence interval [95%CI]: -1%, 24%) of BMIs ≥30.0, and 15% higher odds (95%CI: 3%, 29%) of membership in the highest tertile of BMI18 (ΔBMI 6.7 to 71.6). Less-pronounced associations were observed for the 2nd tertile of BMI18 (ΔBMI 2.9 to 6.6) and BMI 25.0-29.9 as well as exposures ≥45 versus <45 dB. There was evidence of DNL-BMI trends (ptrends ≤ 0.02). Stronger associations were observed among participants living in the West, arid climate areas, and among former smokers. DISCUSSION In two nationwide cohorts of female nurses, higher aircraft noise exposure was associated with higher BMI, adding evidence to an aircraft noise-obesity-disease pathway.
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Affiliation(s)
- Matthew Bozigar
- School of Nutrition and Public Health, College of Health, Oregon State University, 160 SW 26th Street, Corvallis, OR 97331, USA.
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Susan Redline
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Department of Medicine, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA 02215, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Elizabeth J Nelson
- College of Arts and Sciences, Boston University, 725 Commonwealth Avenue, Boston, MA 02215, USA
| | - Stephanie T Grady
- Department of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
| | - Jonathan I Levy
- Department of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
| | - Junenette L Peters
- Department of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
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Wogan R, Kennedy J. Crowdsourced cycling data applications to estimate noise pollution exposure during urban cycling. Heliyon 2024; 10:e27918. [PMID: 38533008 PMCID: PMC10963327 DOI: 10.1016/j.heliyon.2024.e27918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/28/2024] [Accepted: 03/08/2024] [Indexed: 03/28/2024] Open
Abstract
This research demonstrates a methodology to integrate freely available datasets to understand the relationship between road traffic noise and cycling experiences in a medium sized city. An illustrative example of the methodology was drawn from data for Dublin, Ireland. We aggregate local environmental data with 81,403 Strava cycle trips, contextualised by feedback from 335 cyclists to estimate exposure levels and infer impacts on experiences and behaviours. Results demonstrate that cyclists recognise that they are subjected to increased noise levels and experience negative psychophysical consequences as a result, but they tend to downplay the impact of noise as merely a minor annoyance. Noise also impacts behaviour, most noticeably through temporal and spatial detours. Geospatial mapping was used to visualise the relationship between noise pollution and cycling activity. Estimating traffic noise levels across two cycle routes, direct vs popular detour, revealed a +10 dB(A) increase in exposure for a saving of approximately 4 min on the direct route compared to the detour. Spatial inequities in exposure levels may have serious health consequences for cyclists in a city such as Dublin. The methodology is demonstrated as suitable for policy level interventions and planning purposes.
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Affiliation(s)
- Rebecca Wogan
- Department of Mechanical, Manufacturing and Biomedical Engineering, Trinity College Dublin, University of Dublin, D02 PN40 Dublin, Ireland
| | - John Kennedy
- Department of Mechanical, Manufacturing and Biomedical Engineering, Trinity College Dublin, University of Dublin, D02 PN40 Dublin, Ireland
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Veber T, Pyko A, Carlsen HK, Holm M, Gislason T, Janson C, Johannessen A, Sommar JN, Modig L, Lindberg E, Schlünssen V, Toompere K, Orru H. Traffic noise in the bedroom in association with markers of obesity: a cross-sectional study and mediation analysis of the respiratory health in Northern Europe cohort. BMC Public Health 2023; 23:1246. [PMID: 37370100 DOI: 10.1186/s12889-023-16128-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Previous research suggests an association between road traffic noise and obesity, but current evidence is inconclusive. The aim of this study was to assess the association between nocturnal noise exposure and markers of obesity and to assess whether sleep disturbance might be a mediator in this association. METHODS We applied data from the Respiratory Health in Northern Europe (RHINE) cohort. We used self-measured waist circumference (WC) and body mass index (BMI) as outcome values. Noise exposure was assessed as perceived traffic noise in the bedroom and/or the bedroom window's location towards the street. We applied adjusted linear, and logistic regression models, evaluated effect modifications and conducted mediation analysis. RESULTS Based on fully adjusted models we found that women, who reported very high traffic noise levels in bedroom, had 1.30 (95% CI 0.24-2.37) kg/m2 higher BMI and 3.30 (95% CI 0.39-6.20) cm higher WC compared to women, who reported no traffic noise in the bedroom. Women who reported higher exposure to road traffic noise had statistically significant higher odds of being overweight and have abdominal obesity with OR varying from 1.15 to 1.26 compared to women, who reported no traffic noise in the bedroom. For men, the associations were rather opposite, although mostly statistically insignificant. Furthermore, men, who reported much or very much traffic noise in the bedroom, had a statistically significantly lower risk of abdominal obesity. Sleep disturbance fully or partially mediated the association between noise in bedroom and obesity markers among women. CONCLUSION Our results suggest that self-reported traffic noise in the bedroom may be associated to being overweight or obese trough sleep disturbance among women, but associations were inconclusive among men.
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Affiliation(s)
- Triin Veber
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Andrei Pyko
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Hanne Krage Carlsen
- Department of Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mathias Holm
- Department of Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Christer Janson
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Ane Johannessen
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Johan Nilsson Sommar
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Lars Modig
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Eva Lindberg
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Vivi Schlünssen
- Research Unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Karolin Toompere
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Hans Orru
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
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Delclòs-Alió X, Rodríguez DA, Olmedo NL, Ferrer CP, Moore K, Stern D, de Menezes MC, de Oliveira Cardoso L, Wang X, Guimaraes JM, Miranda JJ, Sarmiento OL. Is city-level travel time by car associated with individual obesity or diabetes in Latin American cities? Evidence from 178 cities in the SALURBAL project. CITIES (LONDON, ENGLAND) 2022; 131:103899. [PMID: 36277810 PMCID: PMC7613723 DOI: 10.1016/j.cities.2022.103899] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
There is growing evidence that longer travel time by private car poses physical and mental risks. Individual-level obesity and diabetes, two of the main public health challenges in low- and middle-income contexts, could be associated to city-level travel times by car. We used individual obesity and diabetes data from national health surveys from individuals in 178 Latin American cities, compiled and harmonized by the SALURBAL project. We calculated city-level travel times by car using the Google Maps Distance Matrix API. We estimated associations between peak hour city-level travel time by car and obesity and diabetes using multilevel logistic regression models, while adjusting for individual characteristics and other city-level covariates. In our study we did not observe a relationship between city-level peak-hour travel time by car and individual obesity and diabetes, as reported in previous research for individual time spent in vehicles in high-income settings. Our results suggest that this relationship may be more complex in Latin America compared to other settings, especially considering that cities in the region are characterized by high degrees of population density and compactness and by a higher prevalence of walking and public transportation use.
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Affiliation(s)
- Xavier Delclòs-Alió
- Institute of Urban and Regional Development, University of California, Berkeley, CA, USA
- Research Group on Territorial Analysis and Tourism Studies (GRATET), Department of Geography, Universitat Rovira i Virgili, Spain
| | - Daniel A. Rodríguez
- Department of City and Regional Planning & Institute for Transportation Studies, University of California, Berkeley, 228 Wurster Hall, Berkeley, CA 94720, USA
| | - Nancy López Olmedo
- Instituto Nacional de Salud Pública, Mexico, Avenida Universidad 655, 62100 Cuernavaca, Morelos, Mexico
| | - Carolina Pérez Ferrer
- CONACyT-Instituto Nacional de Salud Pública, Cerrada de Fray Pedro de Gante 50, 14080 Mexico City, Mexico
| | - Kari Moore
- Dornsife School of Public Health, Drexel University, 3600 Market Street, Philadelphia, PA 19104, USA
| | - Dalia Stern
- CONACyT-Instituto Nacional de Salud Pública, Cerrada de Fray Pedro de Gante 50, 14080 Mexico City, Mexico
| | - Mariana Carvalho de Menezes
- Department of Clinical and Social Nutrition, Federal University of Ouro Preto, Av. Pres. Antônio Carlos, 6627, Belo Horizonte 31270-901, Minas Gerais, Brazil
| | - Letícia de Oliveira Cardoso
- Oswaldo Cruz Foundation, National School of Public Health, Av. Brasil 4365, Rio de Janeiro, 21040-900, Rio de Janeiro, Brazil
| | - Xize Wang
- Department of Real Estate, National University of Singapore, 4 Architecture Dr, 117566, Singapore
| | - Joanna M.N. Guimaraes
- Oswaldo Cruz Foundation, National School of Public Health, Av. Brasil 4365, Rio de Janeiro, 21040-900, Rio de Janeiro, Brazil
| | - J. Jaime Miranda
- CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Av. Armendariz 445, 15074 Lima, Peru
| | - Olga L. Sarmiento
- School of Medicine, Universidad de Los Andes, Carrera 1, 111711 Bogotá, Colombia
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Gui SY, Wu KJ, Sun Y, Chen YN, Liang HR, Liu W, Lu Y, Hu CY. Traffic noise and adiposity: a systematic review and meta-analysis of epidemiological studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:55707-55727. [PMID: 35320480 DOI: 10.1007/s11356-022-19056-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 02/01/2022] [Indexed: 06/14/2023]
Abstract
Traffic noise has attracted much attention as a significant and intractable public health threat. This study was designed as a systematical review to explore the association of traffic noise with different indicators of obesity, thus providing updated quantitative estimates for the pooled effect estimates of the existing literature. We conducted an extensive search for epidemiological studies that investigated the association of traffic noise with obesity in three electronic databases till February 23, 2021. We used random-effects meta-analysis to calculate the summary effect estimates for each 10-dB(A) increase in noise and compared the highest with the lowest category of noise in relation to seven obesity indicators. Meanwhile, we assessed the risk of bias and the overall quality of the evidence of each study as well as the level of evidence for each exposure-outcome pair. The initial search identified 30 studies, 13 of which were ultimately included. The meta-analysis for the highest versus the lowest category of noise exposure was generally associated with higher waist circumfluence (WC) ranging from 0.326 cm (95% confidence interval (CI) = 0.078, 0.574) to 0.705 cm (95% CI = 0.071, 1.340) and higher odds of central obesity ranging from 1.055 (95% CI = 1.000, 1.109) to 1.167 (95% CI = 1.037, 1.298). When the continuous exposure (each 10 dB(A) increase in noise) was introduced, similar results were found. This study indicated positive associations of traffic noise with WC and central obesity. However, in consideration of some limitations, there is an urgent need for future studies to increase the sample size, discriminate the etiological differences in different noise and obesity indicators, and thoroughly consider socioeconomic status.
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Affiliation(s)
- Si-Yu Gui
- Department of Ophthalmology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Ke-Jia Wu
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yue Sun
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yue-Nan Chen
- Department of Clinical Pharmacy, School of Pharmacy, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Huan-Ru Liang
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Wen Liu
- Department of Clinical Medicine, The First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yao Lu
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
| | - Cheng-Yang Hu
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
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Gilani TA, Mir MS. A study on road traffic noise exposure and prevalence of insomnia. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:41065-41080. [PMID: 35083686 DOI: 10.1007/s11356-021-18291-8] [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: 08/11/2021] [Accepted: 12/19/2021] [Indexed: 05/27/2023]
Abstract
The potential of the nocturnal traffic noise to affect the quality and the quantity of sleep makes it a serious threat to public health. The present study is an attempt to provide insights into the ways through which nocturnal traffic noise causes insomnia. A total of 4525 respondents participated in the study. Modelled nocturnal noise levels were used, and the assessment of insomnia-related symptoms was done using the Jenkins sleep problem scale. A directed acyclic graph was used to obtain the minimum set of confounders that need to be adjusted for obtaining unbiased estimates. DASS-21 item scale was used to evaluate the mental health of respondents. The study reported significant associations between traffic noise exposure and all insomnia-related symptoms. For the total study population, the highest risk occurred for difficulty in falling asleep symptom (OR = 1.45; 95% CI = 1.01 - 2.07). Based on the sensitivity analysis, respondents with bedrooms facing the road were found to have higher risks as compared to the overall sample with the highest risks occurring for difficulty in maintaining the sleep symptom (OR = 1.65; 95% CI = 1.08 - 2.51). Severity levels of mental disorders showed an increasing trend with the increasing noise levels. Females were found to have a higher risk as compared to males (OR = 1.75; 95% CI = 1.14 - 2.69). No significant association was found between traffic noise exposure and sleep medication usage. Future research on large populations can help in minimizing the impacts of nocturnal noise on public health.
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Affiliation(s)
- Towseef Ahmed Gilani
- Research Scholar, Department of Civil Engineering, National Institute of Technology, Srinagar, J&K, 190006, India.
| | - Mohammad Shafi Mir
- Transportation & Planning Section, Department of Civil Engineering, National Institute of Technology, Srinagar, J&K, 190006, India
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Sanok S, Berger M, Müller U, Schmid M, Weidenfeld S, Elmenhorst EM, Aeschbach D. Road traffic noise impacts sleep continuity in suburban residents: Exposure-response quantification of noise-induced awakenings from vehicle pass-bys at night. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 817:152594. [PMID: 34953847 DOI: 10.1016/j.scitotenv.2021.152594] [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: 09/09/2021] [Revised: 12/17/2021] [Accepted: 12/17/2021] [Indexed: 06/14/2023]
Abstract
Nocturnal traffic noise has been associated with adverse health outcomes in exposed residents. Precise quantification of traffic noise effects on sleep is thus of great importance. Here we establish an exposure-response relationship for the awakening probability due to intermittent road traffic noise in suburban residents. We conducted a field study in residential areas where road traffic was the dominant noise source, and noise events were attributable to separate vehicle pass-bys. Forty healthy participants underwent polysomnography for five consecutive nights at their homes. A total of 11,003 road traffic noises derived from simultaneous acoustic measurements at the sleepers' ears were included in an event-related analysis of awakenings. Logistic regression analysis revealed that the awakening probability due to road traffic noise increased with the maximum sound pressure level (SPL) and the maximum slope of the increasing SPL of a vehicle pass-by, as well as the age of the exposed individual. Compared to sleep stage 2, the awakening probability was higher in rapid eye movement sleep (REMS) and lower in slow wave sleep (SWS). The protective effect of both stage 2 and SWS against awakenings decreased with age, whereas no age-dependent change was observed for REMS. When adjusting for other contributing factors, the probability of a noise-induced awakening ranged from 0% at a maximum SPL of 27.1 dB(A) to 2.0% at 70 dB(A). Road traffic noise at night - even in suburban areas with moderate traffic density - negatively impacts residents' sleep continuity. Exposure-response quantification for traffic noise-induced awakenings may serve as a basis for noise protection efforts by regulators and policy makers.
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Affiliation(s)
- Sandra Sanok
- Department of Sleep and Human Factors Research, Institute of Aerospace Medicine, German Aerospace Center (DLR), Linder Höhe, 51147 Cologne, Germany.
| | - Moritz Berger
- Department of Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
| | - Uwe Müller
- Department of Sleep and Human Factors Research, Institute of Aerospace Medicine, German Aerospace Center (DLR), Linder Höhe, 51147 Cologne, Germany.
| | - Matthias Schmid
- Department of Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
| | - Sarah Weidenfeld
- Department of Sleep and Human Factors Research, Institute of Aerospace Medicine, German Aerospace Center (DLR), Linder Höhe, 51147 Cologne, Germany.
| | - Eva-Maria Elmenhorst
- Department of Sleep and Human Factors Research, Institute of Aerospace Medicine, German Aerospace Center (DLR), Linder Höhe, 51147 Cologne, Germany; Institute for Occupational and Social Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany.
| | - Daniel Aeschbach
- Department of Sleep and Human Factors Research, Institute of Aerospace Medicine, German Aerospace Center (DLR), Linder Höhe, 51147 Cologne, Germany; Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany.
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Kheirandish A, Mehrparvar A, Abou-Bakre A, Zare Sakhvidi MJ. Association between long-term occupational noise exposure and obesity. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:20176-20185. [PMID: 34729714 DOI: 10.1007/s11356-021-17299-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Noise exposure has been linked to several health outcomes including obesity. This cross-sectional study examined the association between occupational noise exposure and body mass index as a measure of general obesity in 913 textile workers (totally from nine factories) in Yazd city, Iran, from winter to summer of 2018. The sound pressure level (dBA) at each working station was measured by a calibrated sound level meter. The long-term noise exposure score of each worker (as dBA.year) was calculated by multiplying the working history in each unit to its corresponding noise level. Models were adjusted for personal, behavioral, environmental, and family history factors. In total, 81.05% (n = 740) of the participants were exposed to noise levels higher than 85 dBA. The direct association was found for the fully adjusted model (β = 0.002; 95% CI: 0.001: 0.004). For the model with past year noise exposure, a 10.6% increase in odds was observed for each 5 dBA increase in noise exposure (95% CI: 1.005: 1.216). We found a 0.1% increase in the odds of being overweight in mixed-gender analysis (95% CI: 1.001:1.002) for each 5 dBA.year in the fully adjusted model. Occupational noise exposure should be regarded as a risk factor for cardiometabolic outcomes in industrial workers.
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Affiliation(s)
- AhmadAli Kheirandish
- Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Amirhooshang Mehrparvar
- Industrial Diseases Research Center, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Abdellah Abou-Bakre
- Department of Mathematics, Faculty of Sciences and Technics, Sultan Moulay Slimane University, Beni Mellal, Morocco
| | - Mohammad Javad Zare Sakhvidi
- Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Walking Environment and Obesity: A Gender-Specific Association Study in Shanghai. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042056. [PMID: 35206245 PMCID: PMC8871922 DOI: 10.3390/ijerph19042056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/09/2022] [Accepted: 02/10/2022] [Indexed: 02/04/2023]
Abstract
Walking environment is commonly cited as an element that reduces the risk of obesity. Many literatures have shown that the impact of walking environment on the incidence rate of obesity may vary across gender, but few studies have conducted in-depth investigations. The present study aimed to provide empirical evidence for a cross-sectional association between the built community environment and the incidence of obesity among male and female residents. Thus, we collected height and weight level of 1355 residents and constructed seven walking environment indicators around 54 communities. Also, BMI was calculated and categorized to define overweight and obesity. We used generalized estimation equation to evaluate the gender-specific association between walking environment on obesity based on a diverse population sample. The study showed that female residents who lived in neighborhoods with higher road sky view index (p = 0.033; OR = 0.002 [95% CI = 0.001–0.619]) and increased intersection density (p = 0.009; OR = 0.979 [95% CI = 0.963–0.995]) showed lower risk of increased BMI, but the advantage does not successfully radiate significant obesity consequences. In addition, the increased density of bus stops can also reduce the risk of obesity in women groups (p = 0.035; OR = 0.910 [95% CI = 0.836–0.990]). These findings suggest that women were more sensitive and were more likely to make different behavioral choices and physiological responses due to distinct walking environments. This provides useful evidence for future obesity prevention and urban planning.
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Liang X, Tang X, Liu M, Liang X, Chen L, Chen X, Zuo L, Ren Y, Hao G. Associations of self-reported residential noise exposure with obesity and hypertension in children and adolescents. Front Pediatr 2022; 10:902868. [PMID: 36034553 PMCID: PMC9411713 DOI: 10.3389/fped.2022.902868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Epidemiologic evidence linking environmental noise to obesity and hypertension remains scarce, especially in children, and the results remain inconclusive. This study aims to examine the cross-sectional associations of self-reported residential noise exposure with obesity and hypertension in children and adolescents. METHODS As an ongoing study, a representative sample of the children aged 6-9 years in Chongqing were selected in 2014. In 2019, self-reported residential noise (answer categories: "very quiet," "moderately quiet," "slightly quiet," and "not at all quiet") data were collected, and 3,412 participants with completed data were included in the analyses. RESULTS Participants living in a quieter area had a significantly lower risk of obesity than those living in a noisy area (very quiet: OR = 0.50, 95%CI: 0.29-0.88, P = 0.015; moderately quiet: OR = 0.61, 95%CI: 0.36-1.02, P = 0.059). Similar associations were observed for abdominal obesity, although did not reach statistical significance. Consistently, residential noise exposure was significantly associated with body mass index (BMI) and waist-to-height ratio. Self-reported residential noise exposure was positively associated with systolic blood pressure (β = -1.808; 95%CI = -3.495, -0.110; P = 0.037). When sleep quality, study stress, BMI, and vegetable/fruits consumption were further adjusted, all effect estimates decreased, and no statistical association was observed between noise exposure and blood pressure. Furthermore, we found that the mediating effects of obesity on the associations of self-reported residential noise exposure with hypertension were 6.8% (% of total effect mediated = 0.068, 95%CI: -2.58, 3.99), although did not reach statistical significance. CONCLUSIONS Self-reported residential noise exposure was associated with a higher risk of obesity or abdominal obesity. Also, self-reported residential noise exposure was positively associated with hypertension, and obesity may partially mediate this association, but did not reach statistical significance.
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Affiliation(s)
- Xiaohua Liang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Xian Tang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Mingliang Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaoyue Liang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Li Chen
- Department of Medicine, Medical College of Georgia, Georgia Prevention Institute, Augusta University, Augusta, GA, United States
| | - Xia Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Lei Zuo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Yanling Ren
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Guang Hao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
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Michaud D, Sivakumaran K, Ritonja J, Waseem H, AlShenaiber L, Morgan E, Ahmadi S, Denning A, Morgan R. Impact of Noise Exposure on Risk of Developing Stress-Related Metabolic Effects: A Systematic Review and Meta-Analysis. Noise Health 2022; 24:215-230. [PMID: 36537446 PMCID: PMC10088431 DOI: 10.4103/nah.nah_21_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Background Exposure to noise can increase biological stress reactions, which may increase adverse health effects, including metabolic disorders; however, the certainty in the association between exposure to noise and metabolic outcomes has not been widely explored. The objective of this review is to evaluate the evidence between noise exposures and metabolic effects. Materials and Methods A systematic review of English and comparative studies available in PubMed, Cochrane Central, EMBASE, and CINAHL databases between January 1, 1980 and December 29, 2021 was performed. Risk of Bias of Nonrandomized Studies of Exposures was used to assess risk of bias of individual studies and certainty of the body of evidence for each outcome was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Results Fifty-six primary studies reporting on cortisol, cholesterol levels, waist circumference, glucose levels, and adrenaline and/or noradrenaline were identified. Although meta-analyses suggested that there may be an increase in waist circumference and adrenaline with increased noise exposure, the certainty in the evidence is very low. Overall, the certainty in the evidence of an effect of increased noise on all the outcomes were low to very low due to concerns with risk of bias, inconsistency across exposure sources, populations, and studies, and imprecision in the estimates of effects. Conclusions The certainty of the evidence of increased noise on metabolic effects was low to very low, which likely reflects the inability to compare across the totality of the evidence for each outcome. The findings from this review may be used to inform policies involving noise reduction and mitigation strategies, and to direct further research in areas that currently have limited evidence available.
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Martins Pereira G, Brito J, Oliveira M, Oliveira P. Urban Noise Exposure and Cardiometabolic Diseases: An Exploratory Cross-Sectional Study in Lisbon. PORTUGUESE JOURNAL OF PUBLIC HEALTH 2021. [DOI: 10.1159/000520263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Introduction: Urban noise pollution has been associated with an increased risk of developing metabolic syndrome. Nevertheless, existing observational studies relating to noise exposure and metabolic syndrome are based on non-generalizable cohorts. Lisbon remains a noisy city where this association has not been evaluated, and for this reason, we studied the relationship between exposure to urban noise and the prevalence of type 2 diabetes mellitus, obesity, and hypertension. Methods: Diurnal, evening and nocturnal noise emission levels were obtained for each street in the city from the Lisbon noise map. After allocation of all roads to the respective parish of Lisbon, the noise emission for each parish was averaged for each day period. The number of adult patients with type 2 diabetes mellitus, obesity and hypertension in 2014, 2015 and 2016 in each parish of Lisbon was obtained from the Regional Health Administration of Lisbon and Tagus Valley. Prevalence as a percentage of the population was determined using the number of residents in each parish determined in the 2011 population census. Spearman’s non-parametric correlation coefficient was used due to the non-normal distribution of the variables, at the 5% significance level (α = 0.05). Results: No correlations were found between daytime, afternoon or night-time noise exposure and the prevalence of type 2 diabetes mellitus, obesity or hypertension, although correlations were found between the cardiometabolic variables. Nevertheless, noise levels in Lisbon were above the legally established limit and the World Health Organization guidelines for environmental noise exposure in the European region. Conclusion: Our results do not agree with previous studies and should be faced as preliminary due to a strong biological plausibility for an association between noise exposure and cardiometabolic diseases and to encourage further studies, with longitudinal cohorts.
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Li W, Ruan W, Yi G, Chen Z, Wang D. Association of noise exposure with risk of metabolic syndrome: Evidence from 44,698 individuals. Diabetes Res Clin Pract 2021; 178:108944. [PMID: 34245797 DOI: 10.1016/j.diabres.2021.108944] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/29/2021] [Accepted: 07/05/2021] [Indexed: 01/14/2023]
Abstract
AIMS Previous studies have explored the association between noise exposure and risk of metabolic syndrome (MetS); however, the results remain inconclusive. METHODS PubMed and Web of Science databases were searched through December 2020, multivariate-adjusted relative risks (RRs) were pooled by using random-effects models. Subgroup analysis was also conducted stratifying by gender, study location, study design, source of noise, study quality, adjusting for smoking, drinking, body mass index, physical activity and shift work. RESULTS Five studies involving 44,698 participants and 5187 MetS cases were included. A summarized adjusted RR for the relationship between noise exposure and risk of MetS was 1.27 (95% CI, 1.02-1.60), and 1.11 (1.02-1.21) for blood pressure and 1.11 (1.06-1.17) for blood glucose. Subgroup analysis revealed that the pooled risk of MetS was statistically significant in all cohort studies (RR = 1.34, 95 %CI, 1.06-1.68), ambient/traffic noise (RR = 1.24, 95 %CI, 1.13-1.35) and occupational noise by removing one low quality study (RR = 2.21, 95 %CI, 1.41-3.44). CONCLUSIONS Noise exposure is associated with an increased risk of MetS, and occupational noise exposure may result in a greater risk. Additional more prospective large-scale studies conducted in more countries or populations are needed to confirm the results, establish causality and elucidate the underlying mechanisms.
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Affiliation(s)
- Wenzhen Li
- Key Laboratory of Industrial Dust Prevention and Control & Occupational Health and Safety, Ministry of Education, Anhui University of Science and Technology, China; Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Wenyu Ruan
- Shangluo Central Hospital, Shangluo, Shanxi 726000, China
| | - Guilin Yi
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei 430015, China
| | - Zhenlong Chen
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, Hubei 430015, China
| | - Dongming Wang
- Key Laboratory of Industrial Dust Prevention and Control & Occupational Health and Safety, Ministry of Education, Anhui University of Science and Technology, China; Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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Li S, Fong DYT, Wong JYH, McPherson B, Lau EYY, Huang L, Mary Sau Man IP. Indoor nocturnal noise is associated with body mass index and blood pressure: a cross-sectional study. BMC Public Health 2021; 21:815. [PMID: 33910532 PMCID: PMC8082630 DOI: 10.1186/s12889-021-10845-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 04/16/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Studies have demonstrated that noise is associated with various health problems, such as obesity and hypertension. Although the evidence of the associations of noise with obesity and hypertension is inconsistent, there seems to be a stronger association of the latter. This study aimed to investigate the associations of noise with body mass index (BMI) and blood pressure in adults living in multi-story residential buildings. METHODS A cross-sectional study was conducted in Hong Kong from February 2018 to September 2019. The Weinstein Noise Sensitivity Scale, Pittsburgh Sleep Quality Index, ENRICHD Social Support Instrument, Patient Health Questionnaire, Perceived Stress Scale, and Hospital Anxiety and Depression Scale were administered to the participants. BMI and blood pressure were assessed. Nocturnal noise exposure and total sleep duration were measured for a week. RESULTS Five hundred adults (66.4% female), with an average age of 39 years (range: 18-80), completed the study. The average levels of nocturnal noise, BMI, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were 51.3 dBA, 22.2 kg/m2, 116.0 mmHg, and 75.4 mmHg, respectively. After adjusting for sociodemographic characteristics, nocturnal noise was associated with BMI (b = 0.54, 95% CI: 0.01 to 1.06, p = 0.045) and SBP (b = 2.90, 95% CI: 1.12 to 4.68, p = 0.001). No association was detected between nocturnal noise and DBP (b = 0.79, 95% CI: - 0.56 to 2.13, p = 0.253). Specifically, higher nocturnal noise was associated with higher BMI (b = 0.72, 95% CI: 0.07 to 1.38, p = 0.031) and SBP (b = 3.91, 95% CI: 2.51 to 5.31, p < 0.001) in females but only higher SBP (b = 3.13, 95% CI: 1.35 to 4.92, p < 0.001) in males. The association between noise and SBP remained significant (b = 2.41, 95% CI: 0.62 to 4.20, p = 0.008) after additionally adjusting for lifestyle, diagnosis of hypertension, psychometric constructs, and sleep. CONCLUSIONS Indoor nocturnal noise was associated with BMI and blood pressure in females but only blood pressure in males. It is important to control nocturnal noise or use soundproofing materials in buildings to reduce noise exposure.
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Affiliation(s)
- Sha Li
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China
| | - Daniel Yee Tak Fong
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China.
| | - Janet Yuen Ha Wong
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China
| | - Bradley McPherson
- Division of Speech and Hearing Sciences, Faculty of Education, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Esther Yuet Ying Lau
- Sleep Laboratory, Department of Psychology, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, New Territories, Hong Kong, China
- Centre for Psychosocial Health, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, New Territories, Hong Kong, China
| | - Lixi Huang
- Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - I P Mary Sau Man
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China
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Occupational Noise Exposure and Diabetes Risk. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2021; 2021:1804616. [PMID: 33828593 PMCID: PMC8004364 DOI: 10.1155/2021/1804616] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 11/13/2020] [Accepted: 03/04/2021] [Indexed: 11/24/2022]
Abstract
Introduction Noise is one of the most common worldwide environmental pollutants, especially in occupational fields. As a stressor, it affects not only the ear but also the entire body. Its physiological and psychological impacts have been well established in many conditions such as cardiovascular diseases. However, there is a dearth of evidence regarding diabetes risk related to noises. Aim To evaluate the relationship between occupational exposure to noise and the risk of developing diabetes. Methods This is a cross-sectional analytical study enrolling two groups of 151 workers each. The first group (noise exposed group: EG) included the employees of a Tunisian power plant, who worked during the day shift and had a permanent position. The second group (unexposed to noise group: NEG) included workers assigned to two academic institutions, who were randomly selected in the Occupational Medicine Department of the Farhat Hached University Hospital in Sousse, during periodical fitness to work visits. Both populations (exposed and unexposed) were matched by age and gender. Data collection was based on a preestablished questionnaire, a physical examination, a biological assessment, and a sonometric study. Results The mean equivalent continuous sound level was 89 dB for the EG and 44.6 dB for the NEG. Diabetes was diagnosed in 24 workers from EG (15.9%) and 14 workers from NEG (9.3%), with no statistically significant difference (p=0.08). After multiple binary logistic regression, including variables of interest, noise did not appear to be associated with diabetes. Conclusion Our results did not reveal a higher risk of developing diabetes in workers exposed to noise. Further studies assessing both level and duration of noise exposure are needed before any definitive conclusion.
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Cai Y, Zijlema WL, Sørgjerd EP, Doiron D, de Hoogh K, Hodgson S, Wolffenbuttel B, Gulliver J, Hansell AL, Nieuwenhuijsen M, Rahimi K, Kvaløy K. Impact of road traffic noise on obesity measures: Observational study of three European cohorts. ENVIRONMENTAL RESEARCH 2020; 191:110013. [PMID: 32805247 DOI: 10.1016/j.envres.2020.110013] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/23/2020] [Accepted: 07/24/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Environmental stressors such as transport noise may contribute to development of obesity through increased levels of stress hormones, sleep deprivation and endocrine disruption. Epidemiological evidence supporting an association of road traffic noise with obesity markers is still relatively scant and confined to certain geographical regions. We aimed to examine the cross-sectional associations between road traffic noise and obesity markers in three large European cohorts involving nearly 500,000 individuals. METHODS Three population-based cohorts (UK Biobank, Lifelines, HUNT3) were established between 2006 and 2013 in the UK, the Netherlands and Norway respectively. For all three cohorts, residential 24-h road traffic noise (Lden) for 2009 was modelled from a standardised European noise assessment framework. Residential exposures to NO2 for 2007 and PM2.5 for 2010 were estimated from Europe-wide land use regression models. Obesity markers including body mass index and waist circumference were measured at recruitment. Obesity and central obesity status were subsequently derived. Regression models were fitted in each cohort, adjusting for a harmonised set of demographic and lifestyle covariates, with further adjustments for air pollution in the main model. RESULTS The main analyses included 412,934 participants of UK Biobank, 61,032 of Lifelines and 30,305 of HUNT3, with a mean age of 43-56 years and Lden ranging 42-89 dB(A) across cohorts. In UK Biobank, per 10 dB(A) higher of Lden: BMI was higher by 0.14kg/m2 (95%CI: 0.11-0.18), waist circumference higher by 0.27 cm (95%CI: 0.19-0.35), odds of obesity was 1.06 (95%CI: 1.04-1.08) and of central obesity was 1.05 (95%CI: 1.04-1.07). These associations were robust to most other sensitivity analyses but attenuated by further adjustment of PM2.5 or area-level socioeconomic status. Associations were more pronounced among women, those with low physical activity, higher household income or hearing impairment. In HUNT3, associations were observed for obesity or central obesity status among those exposed to Lden greater than 55 dB(A). In contrast, no or negative associations were observed in the Lifelines cohort. CONCLUSIONS This largest study to date providing mixed findings on impacts of long-term exposure to road traffic noise on obesity, which necessitates future analyses using longitudinal data to further investigate this potentially important epidemiological link.
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Affiliation(s)
- Yutong Cai
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK; Deep Medicine Programme, Oxford Martin School, University of Oxford, Oxford, UK; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
| | - Wilma L Zijlema
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain
| | - Elin Pettersen Sørgjerd
- Department of Public Health and Nursing, HUNT Research Centre, Norwegian University of Science and Technology, Levanger, Norway; Department of Endocrinology, St.Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Dany Doiron
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Susan Hodgson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Bruce Wolffenbuttel
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - John Gulliver
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Anna L Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain
| | - Kazem Rahimi
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK; Deep Medicine Programme, Oxford Martin School, University of Oxford, Oxford, UK
| | - Kirsti Kvaløy
- Department of Public Health and Nursing, HUNT Research Centre, Norwegian University of Science and Technology, Levanger, Norway; Department of Research and Development, Levanger Hospital, Nord-Trøndelag Hospital Trust, Norway
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Eze IC, Foraster M, Schaffner E, Vienneau D, Pieren R, Imboden M, Wunderli JM, Cajochen C, Brink M, Röösli M, Probst-Hensch N. Incidence of depression in relation to transportation noise exposure and noise annoyance in the SAPALDIA study. ENVIRONMENT INTERNATIONAL 2020; 143:105960. [PMID: 32763645 DOI: 10.1016/j.envint.2020.105960] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/10/2020] [Accepted: 07/05/2020] [Indexed: 05/24/2023]
Abstract
Prospective evidence on the risk of depression in relation to transportation noise exposure and noise annoyance is limited and mixed. We aimed to investigate the associations of long-term exposure to source-specific transportation noise and noise annoyance with incidence of depression in the SAPALDIA (Swiss cohort study on air pollution and lung and heart diseases in adults) cohort. We investigated 4,581 SAPALDIA participants without depression in the year 2001/2002. Corresponding one-year mean road, railway and aircraft day-evening-night noise (Lden) was calculated at the most exposed façade of the participants' residential floors, and transportation noise annoyance was assessed on an 11-point scale. Incident cases of depression were identified in 2010/2011, and comprised participants reporting physician diagnosis, intake of antidepressant medication or having a short form-36 mental health score < 50. We used robust Poisson regressions to estimate the mutually adjusted relative risks (RR) and 95% confidence intervals (CI) of depression, independent of traffic-related air pollution and other potential confounders. Incidence of depression was 11 cases per 1,000 person-years. In single exposure models, we observed positive but in part, statistically non-significant associations (per 10 dB) of road traffic Lden [RR: 1.06 (0.93, 1.22)] and aircraft Lden [RR: 1.19 (0.93, 1.53)], and (per 1-point difference) of noise annoyance [RR: 1.05 (1.02, 1.08)] with depression risk. In multi-exposure model, noise annoyance effect remained unchanged, with weaker effects of road traffic Lden [(RR: 1.02 (0.89, 1.17)] and aircraft Lden [(RR: 1.17 (0.90, 1.50)]. However, there were statistically significant indirect effects of road traffic Lden [(β: 0.02 (0.01, 0.03)] and aircraft Lden [β: 0.01 (0.002, 0.02)] via noise annoyance. There were no associations with railway Lden in the single and multi-exposure models [(RRboth models: 0.88 (0.75, 1.03)]. We made similar findings among 2,885 non-movers, where the effect modification and cumulative risks were more distinct. Noise annoyance effect in non-movers was stronger among the insufficiently active (RR: 1.09; 95%CI: 1.02, 1.17; pinteraction = 0.07) and those with daytime sleepiness [RR: 1.07 (1.02, 1.12); pinteraction = 0.008]. Cumulative risks of Lden in non-movers showed additive tendencies for the linear cumulative risk [(RRper 10dB of combined sources: 1.31 (0.90, 1.91)] and the categorical cumulative risk [(RRtriple- vs. zero-source ≥45 dB: 2.29 (1.02, 5.14)], and remained stable to noise annoyance. Transportation noise level and noise annoyance may jointly and independently influence the risk of depression. Combined long-term exposures to noise level seems to be most detrimental, largely acting via annoyance. The moderation of noise annoyance effect by daytime sleepiness and physical activity further contribute to clarifying the involved mechanisms. More evidence is needed to confirm these findings for effective public health control of depression and noise exposure burden.
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Affiliation(s)
- Ikenna C Eze
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Maria Foraster
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; ISGlobal, Barcelona Institute for Global Health, University Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Publica, Madrid, Spain; Blanquerna School of Health Science, Universitat Ramon Llull, Barcelona, Spain
| | - Emmanuel Schaffner
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Reto Pieren
- Empa, Laboratory for Acoustics/Noise Control, Swiss Federal Laboratories for Material Science and Technology, Dübendorf, Switzerland
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Jean-Marc Wunderli
- Empa, Laboratory for Acoustics/Noise Control, Swiss Federal Laboratories for Material Science and Technology, Dübendorf, Switzerland
| | - Christian Cajochen
- Center for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Mark Brink
- Federal Office for the Environment, Bern, Switzerland
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
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Mucci N, Traversini V, Lorini C, De Sio S, Galea RP, Bonaccorsi G, Arcangeli G. Urban Noise and Psychological Distress: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E6621. [PMID: 32932901 PMCID: PMC7560223 DOI: 10.3390/ijerph17186621] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 09/06/2020] [Accepted: 09/09/2020] [Indexed: 12/15/2022]
Abstract
Chronic exposure to urban noise is harmful for auditory perception, cardiovascular, gastrointestinal and nervous systems, while also causing psychological annoyance. Around 25% of the EU population experience a deterioration in the quality of life due to annoyance and about 5-15% suffer from sleep disorders, with many disability-adjusted life years (DALYs) lost annually. This systematic review highlights the main sources of urban noise, the relevant principal clinical disorders and the most effected countries. This review included articles published on the major databases (PubMed, Cochrane Library, Scopus), using a combination of some keywords. The online search yielded 265 references; after selection, the authors have analyzed 54 articles (5 reviews and 49 original articles). From the analysis, among the sources of exposure, we found the majority of items dealing with airports and wind turbines, followed by roads and trains; the main disorders that were investigated in different populations dealt with annoyance and sleep disorders, sometimes associated with cardiovascular symptoms. Regarding countries, studies were published from all over the world with a slight prevalence from Western Europe. Considering these fundamental health consequences, research needs to be extended in such a way as to include new sources of noise and new technologies, to ensure a health promotion system and to reduce the risk of residents being exposed.
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Affiliation(s)
- Nicola Mucci
- Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy; (N.M.); (G.A.)
| | | | - Chiara Lorini
- Department of Health Sciences, Hygiene and Preventive Medicine, University of Florence, 50139 Florence, Italy; (C.L.); (G.B.)
| | - Simone De Sio
- Department of Anatomical, Histological, Forensic and Locomotor Apparatus Sciences, Sapienza University of Rome, 5 Piazzale Aldo Moro, I-00185 Rome, Italy;
| | - Raymond P. Galea
- Faculty of Medicine & Surgery, University of Malta, MSD 2080 Msida, Malta;
- Head of the Malta Postgraduate Medical Training Programme, Mater Dei Hospital Msida, MSD 2090 L-Imsida, Malta
| | - Guglielmo Bonaccorsi
- Department of Health Sciences, Hygiene and Preventive Medicine, University of Florence, 50139 Florence, Italy; (C.L.); (G.B.)
| | - Giulio Arcangeli
- Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy; (N.M.); (G.A.)
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21
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Huang T, Chan TC, Huang YJ, Pan WC. The Association between Noise Exposure and Metabolic Syndrome: A Longitudinal Cohort Study in Taiwan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17124236. [PMID: 32545843 PMCID: PMC7344493 DOI: 10.3390/ijerph17124236] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/12/2020] [Accepted: 06/12/2020] [Indexed: 12/11/2022]
Abstract
Metabolic syndrome is becoming more common worldwide. Studies suggest environmental pollution, including traffic noise, might be linked with metabolic syndrome. This study sought to evaluate how noise exposure is linked to the development of metabolic syndrome and its components in Taiwan. Using data from a cohort of 42,509 participants and Cox proportional hazards regression models, the effects of noise exposure on metabolic syndrome and its components were quantified. After adjustment for covariates (age, gender, body mass index, and physical activity), the hazard ratio for metabolic syndrome was 1.13 (95% CI: 1.04–1.22) for medium noise exposure and 1.24 (95% CI: 1.13–1.36) for high noise exposure. Noise exposure was also positively associated with all of metabolic syndrome’s components. This finding suggests noise exposure might contribute to metabolic syndrome and its components. Policies aiming to reduce noise pollution might reduce the risks of metabolic syndrome and its components.
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Affiliation(s)
- Tao Huang
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei 100029, Taiwan; (T.H.); (Y.-J.H.)
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei 100029, Taiwan; (T.H.); (Y.-J.H.)
- Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei 11221, Taiwan
- Correspondence:
| | - Ying-Jhen Huang
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei 100029, Taiwan; (T.H.); (Y.-J.H.)
| | - Wen-Chi Pan
- Institute of Environmental and Occupational Health Sciences, National Yang-Ming University, Taipei 11221, Taiwan;
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Sørensen M, Sørensen TIA, Ketzel M, Raaschou-Nielsen O. Exposure to traffic noise and gestational weight gain and postpartum weight retention: a cohort study. Occup Environ Med 2019; 77:107-114. [PMID: 31801799 DOI: 10.1136/oemed-2019-105843] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 08/18/2019] [Accepted: 11/18/2019] [Indexed: 12/23/2022]
Abstract
OBJECTIVES Transportation noise has been associated with markers of obesity. We aimed to investigate whether road traffic and railway noise were associated with weight gain during and after pregnancy. METHODS Among the women participating in the Danish National Birth Cohort, 74 065 reported on weight before and during the pregnancy (gestational week 30) and 52 661 reported on weight before and 18 months after pregnancy. Residential address history from conception to 18 months after pregnancy was obtained in national registers, and road traffic and railway noise were modelled for all addresses. Associations between noise and gestational weight gain (GWG) and postpartum weight retention (PPWR) were analysed using the linear and log-binomial regression. RESULTS A 10 dB(A) higher road traffic noise was associated with an increase in GWG of 3.8 g/week (95% CI 2.3 to 5.3) and PPWR of 0.09 kg (95% CI 0.02 to 0.16). For PPWR, this association seemed confined to women who were overweight (0.17 kg, 95% CI 0.02 to 0.32) or obese (0.49 kg, 95% CI 0.26 to 0.73) before pregnancy. Further adjustment by nitrogen dioxide reduced GWG risk estimates and slightly increased PPWR risk estimates. Railway noise ≥65 dB(A) was associated with an increase in GWG of 4.5 g/week (95% CI -2.7 to 11.6) and PPWR of 0.26 kg (95% CI -0.09 to 0.60) compared with levels <55 dB(A). CONCLUSIONS Our findings suggest that road traffic noise is associated with weight gain during and after the pregnancy, which adds to the literature linking transportation noise to adiposity.
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Affiliation(s)
- Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark .,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, 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 Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Roskilde, Denmark
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Cramer J, Therming Jørgensen J, Sørensen M, Backalarz C, Laursen JE, Ketzel M, Hertel O, Jensen SS, Simonsen MK, Bräuner EV, Andersen ZJ. Road traffic noise and markers of adiposity in the Danish Nurse Cohort: A cross-sectional study. ENVIRONMENTAL RESEARCH 2019; 172:502-510. [PMID: 30852453 DOI: 10.1016/j.envres.2019.03.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 02/27/2019] [Accepted: 03/01/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Studies have suggested that traffic noise is associated with markers of obesity. We investigated the association of exposure to road traffic noise with body mass index (BMI) and waist circumference in the Danish Nurse Cohort. METHODS We used data on 15,501 female nurses (aged >44 years) from the nationwide Danish Nurse Cohort who, in 1999, reported information on self-measured height, weight, and waist circumference, together with information on socioeconomic status, lifestyle, work and health. Road traffic noise at the most exposed façade of the residence was estimated using Nord2000 as the annual mean of a weighted 24-h average (Lden). We used multiple linear regression models to examine associations of road traffic noise levels in 1999 (1-year mean) with BMI and waist circumference, adjusting for potential confounders, and evaluated effect modification by degree of urbanization, air pollution levels, night shift work, job strain, sedative use, sleep aid use, and family history of obesity. RESULTS We did not observe associations between road traffic noise (per 10 dB increase in the 1-year mean Lden) and BMI (kg/m2) (β: 0.00; 95% confidence interval (CI): -0.07, 0.07) or waist circumference (cm) (β: -0.09; 95% CI: -0.31, 0.31) in the fully adjusted model. We found significant effect modification of job strain and degree of urbanization on the associations between Lden and both BMI and waist circumference. Job strained nurses were associated with a 0.41 BMI-point increase, (95% CI: 0.06, 0.76) and a 1.00 cm increase in waist circumference (95% CI: 0.00, 2.00). Nurses living in urban areas had a statistically significant positive association of Lden with BMI (β: 0.26; 95% CI: 0.11, 0.42), whilst no association was found for nurses living in suburban and rural areas. CONCLUSION Our results suggest that road traffic noise exposure in nurses with particular susceptibilities, such as those with job strain, or living in urban areas, may lead to increased BMI, a marker of adiposity.
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Affiliation(s)
- Johannah Cramer
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark.
| | - Jeanette Therming Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark.
| | - Mette Sørensen
- Danish Cancer Society, Strandboulevarden 49, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark.
| | | | | | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford GU2 7XH, United Kingdom.
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.
| | | | - Mette Kildevæld Simonsen
- Diakonissestiftelsen and Parker Institute, Frederiksberg Hospital, Peter Bangsvej 1, 2000 Frederiksberg, Denmark.
| | - Elvira Vaclavik Bräuner
- Juliane Marie Center, Department of Growth and Reproduction, Capital Region of Denmark, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Zorana Jovanovic Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen, Denmark; Centre for Epidemiological Research, Nykøbing F Hospital, Ejegodvej 63, 4800 Nykøbing F, Denmark.
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24
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Indoor and outdoor road traffic noise and incident diabetes mellitus: Results from a longitudinal German cohort study. Environ Epidemiol 2019; 3:e037. [PMID: 33778334 PMCID: PMC7952109 DOI: 10.1097/ee9.0000000000000037] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 12/10/2018] [Indexed: 12/24/2022] Open
Abstract
Supplemental Digital Content is available in the text. Road traffic noise affects a large number of people in urbanized areas. Recent epidemiological evidence indicates that environmental noise exposure may not only be associated with cardiovascular but also with cardio-metabolic outcomes. This prospective cohort study investigated the effect of outdoor and indoor residential road traffic noise on incident type 2 diabetes mellitus (T2DM).
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Abstract
Background: Being overweight constitutes a health risk, and the proportion of overweight and obese children is increasing. It has been argued that road traffic noise could be linked to adiposity through its influence on sleep and stress. Few studies, to our knowledge, have investigated whether noise and adiposity are associated. Most of them were on adults, and we are not aware of any longitudinal study using repeated measures. Objectives: The present longitudinal study investigated whether road traffic noise exposures in pregnancy (N = 6,963; obs = 22,975) or childhood (N = 6,403; obs = 14,585) were associated with body mass index (BMI) trajectories in children. Methods: We obtained information on BMI and covariates from questionnaires used in the Norwegian Mother and Child Cohort Study, Statistics Norway, and Medical Birth Registry of Norway. We modeled road traffic noise for the most exposed façade of children’s present and historical addresses at 6 time points from pregnancy to age 8. We investigated effects on BMI trajectories using repeated measures and linear mixed models. Results: The results indicated that BMI curves depended on road traffic noise exposure during pregnancy, but not on exposure during childhood. Children in the highest decile of traffic noise exposure had increased BMI, with 0.35 kg/m2 more than children in the lowest decile, from birth to age 8 years. Conclusions: The results indicate that exposure to road traffic noise during pregnancy may be associated with children’s BMI trajectories. Future studies should investigate this further, using anthropometric measures such as waist-hip ratio and skinfold thickness, in addition to BMI.
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26
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Wallas A, Ekström S, Bergström A, Eriksson C, Gruzieva O, Sjöström M, Pyko A, Ögren M, Bottai M, Pershagen G. Traffic noise exposure in relation to adverse birth outcomes and body mass between birth and adolescence. ENVIRONMENTAL RESEARCH 2019; 169:362-367. [PMID: 30513507 DOI: 10.1016/j.envres.2018.11.039] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 11/21/2018] [Accepted: 11/22/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND There is growing evidence that traffic noise exposure is associated with adiposity among adults but data in children are limited. OBJECTIVE This longitudinal study examined whether pre- and postnatal noise exposure is associated with body mass index (BMI) between birth and adolescence or with adverse birth outcomes. METHODS The study was conducted using data from the BAMSE birth cohort, which included 4089 children born in Stockholm County, Sweden. Data on BMI from birth to adolescence were collected via questionnaires, clinical examinations and health care records. A national register provided information on birth outcomes. Road traffic noise levels at the most exposed façade were estimated for all residences of the children during follow-up, as well as of their mothers during pregnancy, and time-weighted average exposure was calculated for different time windows. Maternal occupational noise exposure was obtained from a job-exposure-matrix. Logistic- and quantile regression models were used to estimate associations between noise exposure and health outcomes. RESULTS We found residential road traffic noise exposure to be associated with increases in BMI from school age to adolescence, but not at earlier ages. In the age groups 8-11 years and 12-16 years the BMI increments were 0.11 kg/m2 per 10 dB Lden (95% CI 0.08-0.13) and 0.20 kg/m2 per 10 dB Lden (95% CI 0.17-0.22), respectively. Maternal noise exposure during pregnancy was generally unrelated to adverse birth outcomes and BMI from birth to adolescence in the children, however, traffic noise exposure was associated with a decreased risk of preterm birth CONCLUSION: Residential road traffic noise exposure was associated with BMI increases from school age to adolescence, but not at earlier ages. Maternal occupational noise exposure or exposure from road traffic during pregnancy were not consistently related to birth outcomes or BMI from birth to adolescence.
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Affiliation(s)
- Alva Wallas
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Sandra Ekström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Charlotta Eriksson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Mattias Sjöström
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Mikael Ögren
- Department of Occupational and Environmental Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Matteo Bottai
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
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Modeling of CO Emissions from Traffic Vehicles Using Artificial Neural Networks. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9020313] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Traffic emissions are considered one of the leading causes of environmental impact in megacities and their dangerous effects on human health. This paper presents a hybrid model based on data mining and GIS models designed to predict vehicular Carbon Monoxide (CO) emitted from traffic on the New Klang Valley Expressway, Malaysia. The hybrid model was developed based on the integration of GIS and the optimized Artificial Neural Network algorithm that combined with the Correlation based Feature Selection (CFS) algorithm to predict the daily vehicular CO emissions and generate prediction maps at a microscale level in a small urban area by using a field survey and open source data, which are the main contributions to this paper. The other contribution is related to the case study, which represents the spatial and quantitative variations in the vehicular CO emissions between toll plaza areas and road networks. The proposed hybrid model consists of three steps: the first step is the implementation of the correlation-based Feature Selection model to select the best model’s predictors; the second step is the prediction of vehicular CO by using a multilayer perceptron neural network model; and the third step is the creation of micro scale prediction maps. The model was developed using six traffic CO predictors: number of vehicles, number of heavy vehicles, number of motorbikes, temperature, wind speed and a digital surface model. The network architecture and its hyperparameters were optimized through a grid search approach. The traffic CO concentrations were observed at 15-min intervals on weekends and weekdays, four times per day. The results showed that the developed model had achieved validation accuracy of 80.6 %. Overall, the developed models are found to be promising tools for vehicular CO simulations in highly congested areas.
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Noise-induced sleep disruption increases weight gain and decreases energy metabolism in female rats. Int J Obes (Lond) 2018; 43:1759-1768. [PMID: 30568267 PMCID: PMC6584067 DOI: 10.1038/s41366-018-0293-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 11/19/2018] [Accepted: 11/30/2018] [Indexed: 01/28/2023]
Abstract
Background/objectives: Inadequate sleep increases obesity and environmental noise contributes to poor sleep. However, women may be more vulnerable to noise and hence more susceptible to sleep disruption-induced weight gain than men. In male rats, exposure to environmental (i.e. ambient) noise disrupts sleep and increases feeding and weight gain. However, the effects of environmental noise on sleep and weight gain in female rats are unknown. Thus, this study was designed to determine whether noise exposure would disturb sleep, increase feeding and weight gain and alter the length of the estrous cycle in female rats. Subjects/methods: Female rats (12-weeks old) were exposed to noise for 17d (8h/d during the light period) to determine the effects of noise on weight gain and food intake. In a separate set of females, estrous cycle phase and length, EEG, EMG, spontaneous physical activity and energy expenditure were recorded continuously for 27d during baseline (control, 9d), noise exposure (8h/d, 9d) and recovery (9d) from sleep disruption. Results: Noise exposure significantly increased weight gain and food intake compared to females that slept undisturbed. Noise also significantly increased wakefulness, reduced sleep and resulted in rebound sleep during the recovery period. Total energy expenditure was significantly lower during both noise exposure and recovery due to lower energy expenditure during spontaneous physical activity and sleep. Notably, noise did not alter the estrous cycle length. Conclusions: As previously observed in male rats, noise exposure disrupted sleep and increased weight gain in females but did not alter the length of the estrous cycle. This is the first demonstration of weight gain in female rats during sleep disruption. We conclude that the sleep disruption caused by exposure to environmental noise is a significant tool for determining how sleep loss contributes to obesity in females.
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Foraster M, Eze IC, Vienneau D, Schaffner E, Jeong A, Héritier H, Rudzik F, Thiesse L, Pieren R, Brink M, Cajochen C, Wunderli JM, Röösli M, Probst-Hensch N. Long-term exposure to transportation noise and its association with adiposity markers and development of obesity. ENVIRONMENT INTERNATIONAL 2018; 121:879-889. [PMID: 30347370 DOI: 10.1016/j.envint.2018.09.057] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 09/05/2018] [Accepted: 09/30/2018] [Indexed: 05/21/2023]
Abstract
The contribution of different transportation noise sources to metabolic disorders such as obesity remains understudied. We evaluated the associations of long-term exposure to road, railway and aircraft noise with measures of obesity and its subphenotypes using cross-sectional and longitudinal designs. We assessed 3796 participants from the population-based Swiss Cohort Study on Air Pollution and Lung and Heart Diseases (SAPALDIA), who attended the visits in 2001 (SAP2) and 2010/2011 (SAP3) and who were aged 29-72 at SAP2. At SAP2 we measured body mass index (BMI, kg/m2). At SAP3 we measured BMI, waist circumference (centimetres) and Kyle body Fat Index (%) and derived overweight, central and general obesity. Longitudinally for BMI, we derived change in BMI, incidence of overweight and obesity and a 3-category outcome combining the latter two. We assigned source-specific 5-year mean noise levels before visits and during follow-up at the most exposed dwelling façade (Lden, dB), using Swiss noise models for 2001 and 2011 and participants' residential history. Models were adjusted for relevant confounders, including traffic-related air pollution. Exposure to road traffic noise was significantly associated with all adiposity subphenotypes, cross-sectionally (at SAP3) [e.g. beta (95% CI) per 10 dB, BMI: 0.39 (0.18; 0.59); waist circumference: 0.93 (0.37; 1.50)], and with increased risk of obesity, longitudinally (e.g. RR = 1.25, 95% CI: 1.04; 1.51, per 10 dB in 5-year mean). Railway noise was significantly related to increased risk of overweight. In cross-sectional analyses, we further identified a stronger association between road traffic noise and BMI among participants with cardiovascular disease and an association between railway noise and BMI among participants reporting bad sleep. Associations were independent of the other noise sources, air pollution and robust to all adjustment sets. No associations were observed for aircraft noise. Long-term exposure to transportation noise, particularly road traffic noise, may increase the risk of obesity and could constitute a pathway towards cardiometabolic and other diseases.
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Affiliation(s)
- Maria Foraster
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Barcelona Institute for Global Health (ISGlobal), University Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBEREsp), Spain; Blanquerna School of Health Science, Universitat Ramon Llull, Barcelona, Spain.
| | - Ikenna C Eze
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Emmanuel Schaffner
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Ayoung Jeong
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Harris Héritier
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Franziska Rudzik
- Center for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Laurie Thiesse
- Center for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Reto Pieren
- Empa, Laboratory for Acoustics/Noise Control, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - Mark Brink
- Federal Office for the Environment, Bern, Switzerland
| | - Christian Cajochen
- Center for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Jean-Marc Wunderli
- Empa, Laboratory for Acoustics/Noise Control, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
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Early maternal perceived stress and children's BMI: longitudinal impact and influencing factors. BMC Public Health 2018; 18:1211. [PMID: 30376822 PMCID: PMC6208039 DOI: 10.1186/s12889-018-6110-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 10/11/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Maternal perceived stress has been discussed to contribute to the development of childhood overweight. Our aim was to investigate the longitudinal relationship of early maternal perceived stress and BMI z-scores in preschool children (≤ five years). METHODS A longitudinal analysis was conducted in 498 mother-child pairs of the German prospective birth cohort LINA with information on maternal perceived stress during pregnancy, one and two years after birth. BMI z-scores were based on annual measurements of children's weight/height and calculated based on WHO reference data. General estimation equations were applied to evaluate the impact of maternal stress on children's longitudinal BMI z-scores. Potential stressors contributing to the perceived stress of the mother were assessed by linear regression models. Using mediation analyses we evaluated the relationship between stressors, maternal perceived stress, and children's BMI z-score development. RESULTS Postnatal maternal stress during the first year after birth had a positive longitudinal relationship with children's BMI z-scores up to the age of five years. Gender-stratified analyses revealed that only girls showed this positive association while boy's BMI z-scores were unaffected by maternal stress. We identified three neighborhood strains and two socio-demographic factors, which contributed to the maternal perceived stress level. Stressors themselves did not directly affect girl's BMI z-scores but rather mediated their effect through the perceived stress level. CONCLUSIONS While different stressors contribute to maternal stress, the perceived stress level - rather than the stressors themselves - is strongly positively associated with BMI z-score development in girls.
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Frondelius K, Oudin A, Malmqvist E. Traffic-Related Air Pollution and Child BMI-A Study of Prenatal Exposure to Nitrogen Oxides and Body Mass Index in Children at the Age of Four Years in Malmö, Sweden. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15102294. [PMID: 30347657 PMCID: PMC6210059 DOI: 10.3390/ijerph15102294] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 09/28/2018] [Accepted: 10/16/2018] [Indexed: 12/21/2022]
Abstract
Traffic-related air pollution could be a danger to the health of children. Earlier studies have linked prenatal exposure to an increased risk of a range of diseases and negative health outcomes, including overweight and obesity. Presently, a knowledge gap exists in investigating the risk of overweight and obesity among children exposed to lower levels of air pollution in utero. This study aimed to investigate the relationship between prenatal traffic-related air pollution (nitrogen dioxides (NOx) and traffic density) and childhood overweight and obesity in Malmö, Sweden. A cohort, based on attendance of a four-year check-up examination at Swedish Child Health Care (CHC) centers, and a parent-assessed questionnaire provided data on body-mass index adjusted for four-year-old children (ISO-BMI) as well as socioeconomic and health variables. We estimated exposure by using traffic density and levels of NOx at the maternal geocoded residential level. Analysis of 5815 children was performed using binary logistic regression models. This study showed no associations of increased risk for childhood overweight or obesity through to prenatal exposure to NOx in this low-exposure setting. We further suggest analysis of risks related to exposure levels ranging between the ones presented here and those proposed in previous literature.
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Affiliation(s)
- Kasper Frondelius
- Occupational and Environmental Medicine, Department for Laboratory Medicine, Lund University, 221 85 Lund, Sweden.
| | - Anna Oudin
- Occupational and Environmental Medicine, Department for Laboratory Medicine, Lund University, 221 85 Lund, Sweden.
| | - Ebba Malmqvist
- Occupational and Environmental Medicine, Department for Laboratory Medicine, Lund University, 221 85 Lund, Sweden.
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Long-term exposure to road traffic noise and incidence of breast cancer: a cohort study. Breast Cancer Res 2018; 20:119. [PMID: 30290832 PMCID: PMC6173937 DOI: 10.1186/s13058-018-1047-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Accepted: 08/28/2018] [Indexed: 12/21/2022] Open
Abstract
Background Exposure to road traffic noise was associated with increased risk of estrogen receptor (ER)-negative (ER-) breast cancer in a previous cohort study, but not with overall or ER-positive (ER+) breast cancer, or breast cancer prognosis. We examined the association between long-term exposure to road traffic noise and incidence of breast cancer, overall and by ER and progesterone receptor (PR) status. Methods We used the data from a nationwide Danish Nurse Cohort on 22,466 female nurses (age > 44 years) who at recruitment in 1993 or 1999 reported information on breast cancer risk factors. We obtained data on the incidence of breast cancer from the Danish Cancer Registry, and on breast cancer subtypes by ER and PR status from the Danish Breast Cancer Cooperative Group, up to 31 December 2012. Road traffic noise levels at the nurses’ residences were estimated by the Nord2000 method between 1970 and 2013 as annual means of a weighted 24 h average (Lden) at the most exposed facade. We used time-varying Cox regression to analyze the associations between the 24-year, 10-year, and 1-year mean of Lden and breast cancer, separately for total breast cancer and by ER and PR status. Results Of the 22,466 women, 1193 developed breast cancer in total during 353,775 person-years of follow up, of whom 611 had complete information on ER and PR status. For each 10 dB increase in 24-year mean noise levels at their residence, we found a statistically significant 10% (hazard ratio and 95% confidence interval 1.10; 1.00–1.20) increase in total breast cancer incidence and a 17% (1.17; 1.02–1.33) increase in analyses based on 611 breast cancer cases with complete ER and PR information. We found positive, statistically significant association between noise levels and ER+ (1.23; 1.06–1.43, N = 494) but not ER- (0.93; 0.70–1.25, N = 117) breast cancers, and a stronger association between noise levels and PR+ (1.21; 1.02–1.42, N = 393) than between noise levels and PR- (1.10; 0.89–1.37, N = 218) breast cancers. Association between noise and ER+ breast cancer was statistically significantly stronger in nurses working night shifts (3.36; 1.48–7.63) than in those not working at night (1.21; 1.02–1.43) (p value for interaction = 0.05). Conclusion Long-term exposure to road traffic noise may increase risk of ER+ breast cancer. Electronic supplementary material The online version of this article (10.1186/s13058-018-1047-2) contains supplementary material, which is available to authorized users.
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Okokon EO, Yli-Tuomi T, Turunen AW, Tiittanen P, Juutilainen J, Lanki T. Traffic noise, noise annoyance and psychotropic medication use. ENVIRONMENT INTERNATIONAL 2018; 119:287-294. [PMID: 29990948 DOI: 10.1016/j.envint.2018.06.034] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 06/20/2018] [Accepted: 06/25/2018] [Indexed: 05/21/2023]
Abstract
BACKGROUND Road-traffic noise can induce stress, which may contribute to mental health disorders. Mental health problems have not received much attention in noise research. People perceive noise differently, which may affect the extent to which noise contributes to poor mental health at the individual level. This paper aims to assess the relationships between outdoor traffic noise and noise annoyance and the use of psychotropic medication. METHODS We conducted a survey to assess noise annoyance and psychotropic medication among residents of the Helsinki Capital Region of Finland. We also assessed the associations of annoyance and road-traffic noise with sleep disorders, anxiety and depression. Respondents were randomly sampled from the Finnish Population registry, and data was collected using a self-administered questionnaire. Outdoor traffic noise was modelled using the Nordic prediction model. Associations between annoyance and modelled façade-noise levels with mental health outcome indicators were assessed using a binary logistic regression while controlling for socioeconomic, lifestyle and exposure-related factors. RESULTS A total of 7321 respondents returned completed questionnaires. Among the study respondents, 15%, 7% and 7% used sleep medication, anxiolytic and antidepressant medications, respectively, in the year preceding the study. Noise annoyance was associated with anxiolytic drug use, OR = 1.41 (95% CI: 1.02-1.95), but not with sedative or antidepressant use. There was suggestive association between modelled noise at levels higher than 60 dB and anxiolytic or antidepressant use. In respondents whose bedroom windows faced the street, modelled noise was definitively associated with antidepressant use. Noise sensitivity did not modify the effect of noise but was associated with an increased use of psychotropic medication. CONCLUSION We observed suggestive associations between high levels of road-traffic noise and psychotropic medication use. Noise sensitivity was associated with psychotropic medication use.
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Affiliation(s)
- Enembe O Okokon
- Department of Health Protection, THL - National Institute for Health and Welfare, P.O. Box 95, FI-70701 Kuopio, Finland.
| | - Tarja Yli-Tuomi
- Department of Health Protection, THL - National Institute for Health and Welfare, P.O. Box 95, FI-70701 Kuopio, Finland.
| | - Anu W Turunen
- Department of Health Protection, THL - National Institute for Health and Welfare, P.O. Box 95, FI-70701 Kuopio, Finland.
| | - Pekka Tiittanen
- Department of Health Protection, THL - National Institute for Health and Welfare, P.O. Box 95, FI-70701 Kuopio, Finland.
| | - Jukka Juutilainen
- Department of Environmental Sciences, University of Eastern Finland, Yliopistonranta 1, FI-70210 Kuopio, Finland.
| | - Timo Lanki
- Department of Health Protection, THL - National Institute for Health and Welfare, P.O. Box 95, FI-70701 Kuopio, Finland; School of Medicine, University of Eastern Finland, Yliopistonranta 1, FI-70210 Kuopio, Finland.
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Zare Sakhvidi MJ, Zare Sakhvidi F, Mehrparvar AH, Foraster M, Dadvand P. Association between noise exposure and diabetes: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2018; 166:647-657. [PMID: 30006240 DOI: 10.1016/j.envres.2018.05.011] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 05/08/2018] [Accepted: 05/10/2018] [Indexed: 05/17/2023]
Abstract
BACKGROUND The prevalence of diabetes is on rise worldwide and environmental factors are being increasingly recognized to be involved in this rise. An emerging body of evidence has evaluated the impact of long-term exposure to noise on diabetes mellitus, highlighting the need to synthesize this evidence. OBJECTIVES To systematically review and conduct meta-analysis of the available evidence on the association between long-term exposure to transport and occupational noise exposure and diabetes mellitus. METHODS Selected databases were searched for available evidence published till September 13th, 2017 following MOOSE guidelines. The quality of articles was assessed using the Newcastle-Ottawa Scale. Random effects meta-analysis was applied to abstract combined estimates for diabetes mellitus per 5 dB increase in noise exposure. We evaluated the heterogeneity applying Cochran's Q test and quantified it using I2 statistic. Meta-regressions were conducted to identify sources of heterogeneity. Publication bias was evaluated using funnel plot and Egger's test. RESULTS Fifteen studies met our inclusion criteria of which nine including five prospective cohorts, two cross-sectional and two case-control studies with a total number of 444460 adult participants and 17430 diabetes mellitus cases included in meta-analyses. We observed a 6% (95% confidence interval (CI): 3%, 9%) increase in the risk of diabetes mellitus per 5 dB increase in noise exposure regardless of its source. Source-specific analyses were suggestive for stronger associations for air traffic noise (combined odds ratio: 1.17; 95% CI: 1.06, 1.29 per 5 dB increase in exposure) flowed by road traffic noise (combined odds ratio: 1.07; 95% CI: 1.02, 1.12). We observed some indications of publication bias; however the findings were robust after trim and fill test. Meta-regression analyses showed that the adjustment in general, and not specifically related to air pollution, could predict the between-study heterogeneity in reported associations. CONCLUSIONS The results indicate an increased risk of diabetes mellitus associated with noise exposure, mainly related to air and road traffic.
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Affiliation(s)
- Mohammad Javad Zare Sakhvidi
- Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran; Occupational Health Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Fariba Zare Sakhvidi
- Department of Biostatistics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Amir Houshang Mehrparvar
- Industrial Diseases Research Center, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Maria Foraster
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Ciber on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Payam Dadvand
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Ciber on Epidemiology and Public Health (CIBERESP), Madrid, Spain.
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An R, Wang J, Ashrafi SA, Yang Y, Guan C. Chronic Noise Exposure and Adiposity: A Systematic Review and Meta-analysis. Am J Prev Med 2018; 55:403-411. [PMID: 30122217 DOI: 10.1016/j.amepre.2018.04.040] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 03/28/2018] [Accepted: 04/13/2018] [Indexed: 12/12/2022]
Abstract
CONTEXT Noise is a key environmental stressor affecting millions of people worldwide on a daily basis. Chronic exposure to noise may elevate the risk of adiposity through sleep deprivation and heightened stress level. EVIDENCE ACQUISITION A literature search was conducted in the PubMed, Web of Science, and Cochrane Library for articles published until February 20, 2018, that assessed the relationship between noise and adiposity. A standardized data extraction form was used to collect methodologic and outcome variables from each included study. EVIDENCE SYNTHESIS Eleven studies were identified, among which seven reported a positive association between chronic exposure to noise and adiposity. Compared with their counterparts exposed to a lower noise level, adults chronically exposed to a noise level above 55-60 dBA were associated with a higher waist circumference by 7.5 mm per year (95% CI=3.6, 11.4, I2=0.0%). An increase in chronic exposure to noise by 10 dBA was found to be associated with a higher waist circumference by 7.0 mm per year (95% CI=2.5, 11.6, I2=93.9%) in the random effect model but not the inverse variance heterogeneity model. Chronic noise exposure was not found to be associated with BMI. CONCLUSIONS Noise tends to be positively associated with waist circumference but not BMI in adults, but current evidence remains limited. Future studies should assess the impact of noise on adiposity in alternative settings and across population subgroups and geographic areas, examine different sources of noise, and elucidate the biomedical and psychosocial pathways linking noise to adiposity.
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Affiliation(s)
- Ruopeng An
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois.
| | - Junjie Wang
- Department of Kinesiology, Dalian University of Technology, Dalian, Liaoning, China
| | | | - Yan Yang
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Chenghua Guan
- School of Economics and Resource Management, Beijing Normal University, Beijing, China
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Dzhambov AM, Dimitrova DD. Residential road traffic noise as a risk factor for hypertension in adults: Systematic review and meta-analysis of analytic studies published in the period 2011-2017. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 240:306-318. [PMID: 29751327 DOI: 10.1016/j.envpol.2018.04.122] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 04/23/2018] [Accepted: 04/25/2018] [Indexed: 05/21/2023]
Abstract
Multiple cross-sectional studies indicated an association between hypertension and road traffic noise and they were recently synthetized in a WHO systematic evidence review. However, recent years have seen a growing body of high-quality, large-scale research, which is missing from the WHO review. Therefore, we aimed to close that gap by conducting an updated systematic review and meta-analysis on the exposure-response relationship between residential road traffic noise and the risk of hypertension in adults. Studies were identified by searching MEDLINE, EMBASE, the Internet, conference proceedings, reference lists, and expert archives in English, Russian, and Spanish through August 5, 2017. The risk of bias for each extracted estimate and the overall quality of evidence were evaluated using a list of predefined safeguards against bias related to different study characteristics and the Grading of Recommendations Assessment, Development and Evaluation system, respectively. The inverse variance heterogeneity (IVhet) model was used for meta-analysis. The possibility of publication bias was evaluated by funnel and Doi plots, and asymmetry in these was tested with Egger's test and the Luis Furuya-Kanamori index, respectively. Sensitivity analyses included leave-one-out meta-analysis, subgroup meta-analysis with meta-regressions, and non-linear exposure-response meta-analysis. Based on seven cohort and two case-control studies (n = 5 514 555; 14 estimates; Lden range ≈ 25-90 dB(A)), we found "low" evidence of RR per 10 dB(A) = 1.018 (95% CI: 0.984, 1.053), moderate heterogeneity (I2 = 46%), and no publication bias. In the subgroup of cohort studies, we found "moderate" evidence of RR per 10 dB(A) = 1.018 (95% CI: 0.987, 1.049), I2 = 31%, and no publication bias. In conclusion, residential road traffic noise was associated with higher risk of hypertension in adults, but the risk was lower than previously reported in the systematic review literature.
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Affiliation(s)
- Angel M Dzhambov
- Department of Hygiene and Ecomedicine, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria.
| | - Donka D Dimitrova
- Department of Health Management and Healthcare Economics, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
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Matthiessen C, Lucht S, Hennig F, Ohlwein S, Jakobs H, Jöckel KH, Moebus S, Hoffmann B. Long-term exposure to airborne particulate matter and NO 2 and prevalent and incident metabolic syndrome - Results from the Heinz Nixdorf Recall Study. ENVIRONMENT INTERNATIONAL 2018; 116:74-82. [PMID: 29653402 DOI: 10.1016/j.envint.2018.02.035] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 02/20/2018] [Accepted: 02/20/2018] [Indexed: 05/05/2023]
Abstract
INTRODUCTION Recently, epidemiological studies have found a link between air pollution (AP) and individual components of the metabolic syndrome (MetS), a condition predisposing to cardiometabolic diseases. However, very few studies have explored a possible association between air pollution and MetS. OBJECTIVE We analyzed the effects of long-term exposure to airborne particulate matter and NO2 on prevalence and incidence of MetS. METHODS We used data of the population-based prospective Heinz Nixdorf Recall study (baseline 2000-2003) to investigate the association(s) between AP exposure and MetS prevalence at baseline (n = 4457) and MetS incidence at first follow-up visit (n = 3074; average follow-up: 5.1 years). Mean annual exposure to size-fractioned particulate matter (PM10, PM2.5, PMcoarse, and PM2.5abs) and nitrogen dioxide (NO2) was assessed using a land use regression model. MetS was defined as central obesity plus two out of four additional risk factors (i.e., elevated triglycerides, reduced high-density lipoprotein cholesterol, elevated blood pressure or elevated plasma glucose). We estimated odds ratios (ORs) of MetS prevalence and incidence per interquartile range (IQR) of exposure, adjusting for demographic and lifestyle variables. RESULTS We observed a MetS prevalence of 20.7% (n = 922) and an incidence of 9.7% (n = 299). NO2 was positively associated with MetS prevalence, with an OR increase per IQR of 1.12 (95%-CI 1.02-1.24, IQR = 6.1 μg/m3). PM10 and PM2.5 were both borderline positively associated with MetS incidence, with ORs of 1.14 (95%-CI 0.99-1.32, IQR = 2.1 μg/m3) and 1.19 (95%-CI 0.98-1.44, IQR = 1.5 μg/m3) per IQR, respectively. CONCLUSION In summary, we found a weak positive association between air pollution and MetS. The strongest and most consistent effects were observed between NO2 and prevalent MetS.
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Affiliation(s)
- Clara Matthiessen
- Institute of Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
| | - Sarah Lucht
- Institute of Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Frauke Hennig
- Institute of Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Simone Ohlwein
- Institute of Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Hermann Jakobs
- Rhenish Institute for Environmental Research, University of Cologne, Cologne, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Susanne Moebus
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Barbara Hoffmann
- Institute of Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
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Eze IC, Foraster M, Schaffner E, Vienneau D, Héritier H, Rudzik F, Thiesse L, Pieren R, Imboden M, von Eckardstein A, Schindler C, Brink M, Cajochen C, Wunderli JM, Röösli M, Probst-Hensch N. Long-term exposure to transportation noise and air pollution in relation to incident diabetes in the SAPALDIA study. Int J Epidemiol 2018; 46:1115-1125. [PMID: 28338949 PMCID: PMC5837207 DOI: 10.1093/ije/dyx020] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2017] [Indexed: 12/13/2022] Open
Abstract
Background Epidemiological studies have inconsistently linked transportation noise and air pollution (AP) with diabetes risk. Most studies have considered single noise sources and/or AP, but none has investigated their mutually independent contributions to diabetes risk. Methods We investigated 2631 participants of the Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults (SAPALDIA), without diabetes in 2002 and without change of residence between 2002 and 2011. Using questionnaire and biomarker data, incident diabetes cases were identified in 2011. Noise and AP exposures in 2001 were assigned to participants’ residences (annual average road, railway or aircraft noise level during day-evening-night (Lden), total night number of noise events, intermittency ratio (temporal variation as proportion of event-based noise level over total noise level) and nitrogen dioxide (NO2) levels. We applied mixed Poisson regression to estimate the relative risk (RR) of diabetes and their 95% confidence intervals (CI) in mutually-adjusted models. Results Diabetes incidence was 4.2%. Median [interquartile range (IQR)] road, railway, aircraft noise and NO2 were 54 (10) dB, 32 (11) dB, 30 (12) dB and 21 (15) μg/m3, respectively. Lden road and aircraft were associated with incident diabetes (respective RR: 1.35; 95% CI: 1.02–1.78 and 1.86; 95% CI: 0.96–3.59 per IQR) independently of Lden railway and NO2 (which were not associated with diabetes risk) in mutually adjusted models. We observed stronger effects of Lden road among participants reporting poor sleep quality or sleeping with open windows. Conclusions Transportation noise may be more relevant than AP in the development of diabetes, potentially acting through noise-induced sleep disturbances.
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Affiliation(s)
- Ikenna C Eze
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Maria Foraster
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Emmanuel Schaffner
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Harris Héritier
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Franziska Rudzik
- Center for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland
| | - Laurie Thiesse
- Center for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland
| | - Reto Pieren
- Empa, Laboratory for Acoustics/Noise Control, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | | | - Christian Schindler
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Mark Brink
- Federal Office for the Environment, Bern, Switzerland
| | - Christian Cajochen
- Center for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland
| | - Jean-Marc Wunderli
- Empa, Laboratory for Acoustics/Noise Control, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
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Münzel T, Sørensen M, Schmidt F, Schmidt E, Steven S, Kröller-Schön S, Daiber A. The Adverse Effects of Environmental Noise Exposure on Oxidative Stress and Cardiovascular Risk. Antioxid Redox Signal 2018; 28:873-908. [PMID: 29350061 PMCID: PMC5898791 DOI: 10.1089/ars.2017.7118] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 11/11/2017] [Accepted: 11/14/2017] [Indexed: 12/29/2022]
Abstract
Epidemiological studies have provided evidence that traffic noise exposure is linked to cardiovascular diseases such as arterial hypertension, myocardial infarction, and stroke. Noise is a nonspecific stressor that activates the autonomous nervous system and endocrine signaling. According to the noise reaction model introduced by Babisch and colleagues, chronic low levels of noise can cause so-called nonauditory effects, such as disturbances of activity, sleep, and communication, which can trigger a number of emotional responses, including annoyance and subsequent stress. Chronic stress in turn is associated with cardiovascular risk factors, comprising increased blood pressure and dyslipidemia, increased blood viscosity and blood glucose, and activation of blood clotting factors, in animal models and humans. Persistent chronic noise exposure increases the risk of cardiometabolic diseases, including arterial hypertension, coronary artery disease, diabetes mellitus type 2, and stroke. Recently, we demonstrated that aircraft noise exposure during nighttime can induce endothelial dysfunction in healthy subjects and is even more pronounced in coronary artery disease patients. Importantly, impaired endothelial function was ameliorated by acute oral treatment with the antioxidant vitamin C, suggesting that excessive production of reactive oxygen species contributes to this phenomenon. More recently, we introduced a novel animal model of aircraft noise exposure characterizing the underlying molecular mechanisms leading to noise-dependent adverse oxidative stress-related effects on the vasculature. With the present review, we want to provide an overview of epidemiological, translational clinical, and preclinical noise research addressing the nonauditory, adverse effects of noise exposure with focus on oxidative stress. Antioxid. Redox Signal. 28, 873-908.
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Affiliation(s)
- Thomas Münzel
- The Center for Cardiology, Cardiology 1, Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Frank Schmidt
- The Center for Cardiology, Cardiology 1, Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Erwin Schmidt
- Institute for Molecular Genetics, Johannes Gutenberg University, Mainz, Germany
| | - Sebastian Steven
- The Center for Cardiology, Cardiology 1, Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Swenja Kröller-Schön
- The Center for Cardiology, Cardiology 1, Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Andreas Daiber
- The Center for Cardiology, Cardiology 1, Johannes Gutenberg University Medical Center, Mainz, Germany
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Münzel T, Sørensen M, Gori T, Schmidt FP, Rao X, Brook J, Chen LC, Brook RD, Rajagopalan S. Environmental stressors and cardio-metabolic disease: part I-epidemiologic evidence supporting a role for noise and air pollution and effects of mitigation strategies. Eur Heart J 2018; 38:550-556. [PMID: 27460892 DOI: 10.1093/eurheartj/ehw269] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 06/02/2016] [Indexed: 11/14/2022] Open
Abstract
Traffic noise and air pollution together represent the two most important environmental risk factors in urbanized societies. The first of this two-part review discusses the epidemiologic evidence in support of the existence of an association between these risk factors with cardiovascular and metabolic disease. While independent effects of these risk factors have now clearly been shown, recent studies also suggest that the two exposures may interact with each other and with traditional risk factors such as hypertension and type 2 diabetes. From a societal and policy perspective, the health effects of both air pollution and traffic noise are observed for exposures well below the thresholds currently accepted as being safe. Current gaps in knowledge, effects of intervention and their impact on cardiovascular disease, will be discussed in the last section of this review. Increased awareness of the societal burden posed by these novel risk factors and acknowledgement in traditional risk factor guidelines may intensify the efforts required for effective legislation to reduce air pollution and noise.
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Affiliation(s)
- Thomas Münzel
- Center for Cardiology, Cardiology I, Angiology and Intensive Care Medicine, University Medical Center Mainz and Deutsches Zentrum für Herz und Kreislauf Forschung, Standort Rhein-Main, Germany
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Tommaso Gori
- Center for Cardiology, Cardiology I, Angiology and Intensive Care Medicine, University Medical Center Mainz and Deutsches Zentrum für Herz und Kreislauf Forschung, Standort Rhein-Main, Germany
| | - Frank P Schmidt
- Center for Cardiology, Cardiology I, Angiology and Intensive Care Medicine, University Medical Center Mainz and Deutsches Zentrum für Herz und Kreislauf Forschung, Standort Rhein-Main, Germany
| | - Xiaoquan Rao
- Division of Cardiovascular Medicine, University of Maryland Medical Center, Baltimore, MD, USA
| | - Jeffrey Brook
- Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
| | - Lung Chi Chen
- Department of Environmental Medicine, New York University, New York, USA
| | - Robert D Brook
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, USA
| | - Sanjay Rajagopalan
- Division of Cardiovascular Medicine, University of Maryland Medical Center, Baltimore, MD, USA
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Kempen EV, Casas M, Pershagen G, Foraster M. WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Cardiovascular and Metabolic Effects: A Summary. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E379. [PMID: 29470452 PMCID: PMC5858448 DOI: 10.3390/ijerph15020379] [Citation(s) in RCA: 271] [Impact Index Per Article: 45.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Revised: 02/02/2018] [Accepted: 02/10/2018] [Indexed: 01/08/2023]
Abstract
To update the current state of evidence and assess its quality, we conducted a systematic review on the effects of environmental noise exposure on the cardio-metabolic systems as input for the new WHO environmental noise guidelines for the European Region. We identified 600 references relating to studies on effects of noise from road, rail and air traffic, and wind turbines on the cardio-metabolic system, published between January 2000 and August 2015. Only 61 studies, investigating different end points, included information enabling estimation of exposure response relationships. These studies were used for meta-analyses, and assessments of the quality of evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE). A majority of the studies concerned traffic noise and hypertension, but most were cross-sectional and suffering from a high risk of bias. The most comprehensive evidence was available for road traffic noise and Ischeamic Heart Diseases (IHD). Combining the results of 7 longitudinal studies revealed a Relative Risk (RR) of 1.08 (95% CI: 1.01-1.15) per 10 dB (LDEN) for the association between road traffic noise and the incidence of IHD. We rated the quality of this evidence as high. Only a few studies reported on the association between transportation noise and stroke, diabetes, and/or obesity. The quality of evidence for these associations was rated from moderate to very low, depending on transportation noise source and outcome. For a comprehensive assessment of the impact of noise exposure on the cardiovascular and metabolic system, we need more and better quality evidence, primarily based on longitudinal studies.
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Affiliation(s)
- Elise van Kempen
- Dutch National Institute for Public Health and the Environment (RIVM), Centre for Sustainability, Environment and Health, P.O.-Box 1, 3729BA Bilthoven, The Netherlands.
| | - Maribel Casas
- Barcelona Institute for Global Health (ISGlobal), 08036 Barcelona, Spain.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institute, SE-171 77 Stockholm, Sweden.
| | - Maria Foraster
- Barcelona Institute for Global Health (ISGlobal), 08036 Barcelona, Spain.
- Swiss Tropical and Public Health Institute, University of Basel, 4002 Basel, Switzerland.
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Weyde KV, Krog NH, Oftedal B, Magnus P, Øverland S, Stansfeld S, Nieuwenhuijsen MJ, Vrijheid M, de Castro Pascual M, Aasvang GM. Road traffic noise and children's inattention. Environ Health 2017; 16:127. [PMID: 29162109 PMCID: PMC5698983 DOI: 10.1186/s12940-017-0337-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Accepted: 11/03/2017] [Indexed: 05/20/2023]
Abstract
BACKGROUND An increasing number of children are exposed to road traffic noise levels that may lead to adverse effects on health and daily functioning. Childhood is a period of intense growth and brain maturation, and children may therefore be especially vulnerable to road traffic noise. The objective of the present study was to examine whether road traffic noise was associated with reported inattention symptoms in children, and whether this association was mediated by sleep duration. METHODS This study was based on the Norwegian Mother and Child Cohort Study conducted by the Norwegian Institute of Public Health. Parental reports of children's inattention at age 8 were linked to modelled levels of residential road traffic noise. We investigated the association between inattention and noise exposure during pregnancy (n = 1934), noise exposure averaged over 5 years (age 3 to 8 years; n = 1384) and noise exposure at age 8 years (n = 1384), using fractional logit response models. The participants were children from Oslo, Norway. RESULTS An association with inattention at age 8 years was found for road traffic noise exposure at age 8 years (coef = .0083, CI = [.0012, .0154]; 1.2% point increase in inattention score per 10 dB increase in noise level), road traffic noise exposure average for the last 5 years (coef = .0090, CI = [.0016, .0164]; 1.3% point increase/10 dB), and for pregnancy road traffic noise exposure for boys (coef = .0091, CI = [.0010, .0171]), but not girls (coef = -.0021, CI = [-.0094, .0053]). Criteria for doing mediation analyses were not fulfilled. CONCLUSION Results indicate that road traffic noise has a negative impact on children's inattention. We found no mediation by sleep duration.
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Affiliation(s)
- Kjell Vegard Weyde
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
- Pb. 4404 Nydalen, 0403 Oslo, Norway
| | - Norun Hjertager Krog
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Bente Oftedal
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Domain of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Simon Øverland
- Division of Mental Health, Norwegian Institute of Public Health, Bergen, Norway
- Faculty of Psychology, University of Bergen, Bergen, Norway
| | - Stephen Stansfeld
- Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine, Queen Mary University of London, London, UK
| | - Mark J. Nieuwenhuijsen
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia Spain
- Experimental and Health Sciences, Pompeu Fabra University, 08003 Barcelona, Catalonia Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Montserrat de Castro Pascual
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia Spain
- Experimental and Health Sciences, Pompeu Fabra University, 08003 Barcelona, Catalonia Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Gunn Marit Aasvang
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
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Pyko A, Eriksson C, Lind T, Mitkovskaya N, Wallas A, Ögren M, Östenson CG, Pershagen G. Long-Term Exposure to Transportation Noise in Relation to Development of Obesity—a Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:117005. [PMID: 29161230 PMCID: PMC5947937 DOI: 10.1289/ehp1910] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 10/05/2017] [Accepted: 10/09/2017] [Indexed: 05/20/2023]
Abstract
BACKGROUND Exposure to transportation noise is widespread and has been associated with obesity in some studies. However, the evidence from longitudinal studies is limited and little is known about effects of combined exposure to different noise sources. OBJECTIVES The aim of this longitudinal study was to estimate the association between exposure to noise from road traffic, railways, or aircraft and the development of obesity markers. METHODS We assessed individual long-term exposure to road traffic, railway, and aircraft noise based on residential histories in a cohort of 5,184 men and women from Stockholm County. Noise levels were estimated at the most exposed façade of each dwelling. Waist circumference, weight, and height were measured at recruitment and after an average of 8.9 y of follow-up. Extensive information on potential confounders was available from repeated questionnaires and registers. RESULTS Waist circumference increased 0.04 cm/y (95% CI: 0.02, 0.06) and 0.16 cm/y (95% CI: 0.14, 0.17) per 10 dB Lden in relation to road traffic and aircraft noise, respectively. No corresponding association was seen for railway noise. Weight gain was only related to aircraft noise exposure. A similar pattern occurred for incidence rate ratios (IRRs) of central obesity and overweight. The IRR of central obesity increased from 1.22 (95% CI: 1.08, 1.39) in those exposed to only one source of transportation noise to 2.26 (95% CI: 1.55, 3.29) among those exposed to all three sources. CONCLUSION Our results link transportation noise exposure to development of obesity and suggest that combined exposure from different sources may be particularly harmful. https://doi.org/10.1289/EHP1910.
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Affiliation(s)
- Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Charlotta Eriksson
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Tomas Lind
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Natalya Mitkovskaya
- Department of Cardiology and Internal Medicine, Belorussian State Medical University, Minsk, Belarus
| | - Alva Wallas
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Ögren
- Department of Occupational and Environmental Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Claes-Göran Östenson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
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Dzhambov AM, Gatseva PD, Tokmakova MP, Zdravkov NG, Vladeva SV, Gencheva DG, Ivanova NG, Karastanev KI, Vasileva EV, Donchev AT. Association between community noise and adiposity in patients with cardiovascular disease. Noise Health 2017; 19:270-277. [PMID: 29319011 PMCID: PMC5771059 DOI: 10.4103/nah.nah_78_16] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION This study aimed to explore the effect of community noise on body mass index (BMI) and waist circumference (WC) in patients with cardiovascular disease (CVD). MATERIALS AND METHODS A representative sample of 132 patients from three tertiary hospitals in the city of Plovdiv, Bulgaria was collected. Anthropometric measurements were linked to global noise annoyance (GNA) based on different residential noise annoyances, day-evening-night (Lden), and nighttime (Lnight) road traffic noise exposure. Noise map Lden and Lnight were determined at the living room and bedroom façades, respectively, and further corrected to indoor exposure based on the window-opening frequency and soundproofing insulation. RESULTS AND DISCUSSION Results showed that BMI and WC increased (non-significantly) per 5 dB. The effect of indoor noise was stronger in comparison with that of outdoor noise. For indoor Lden, the effect was more pronounced in men, those with diabetes, family history of diabetes, high noise sensitivity, using solid fuel/gas for domestic heating/cooking, and living on the first floor. As regards indoor Lnight, its effect was more pronounced in those with low socioeconomic status, hearing loss, and using solid fuel/gas for domestic heating/cooking. GNA was associated with lower BMI and WC. CONCLUSION Road traffic noise was associated with an increase in adiposity in some potentially vulnerable patients with CVD.
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Affiliation(s)
- Angel M. Dzhambov
- Department of Hygiene and Ecomedicine, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Penka D. Gatseva
- Department of Hygiene and Ecomedicine, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Mariya P. Tokmakova
- Section of Cardiology, First Department of Internal Diseases, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
- Clinic of Cardiology, UMHAT “Sv. Georgi” EAD Plovdiv, Plovdiv, Bulgaria
| | - Nikolai G. Zdravkov
- Section of Cardiology, First Department of Internal Diseases, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
- Clinic of Cardiology, UMHAT “Sv. Georgi” EAD Plovdiv, Plovdiv, Bulgaria
| | - Stefka V. Vladeva
- Medical College, Medical University of Plovdiv, Plovdiv, Bulgaria
- Clinic of Endocrinology and Metabolic Disorders, “Kaspela” University Hospital, Plovdiv, Bulgaria
| | - Dolina G. Gencheva
- Section of Cardiology, First Department of Internal Diseases, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
- Clinic of Cardiology, UMHAT “Sv. Georgi” EAD Plovdiv, Plovdiv, Bulgaria
| | - Nevena G. Ivanova
- Department of Urology and General Medicine, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
- “St. Karidad” Hospital, Plovdiv, Bulgaria
| | - Krasimir I. Karastanev
- Section of Cardiology, First Department of Internal Diseases, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
- Clinic of Cardiology, UMHAT “Sv. Georgi” EAD Plovdiv, Plovdiv, Bulgaria
| | - Emanuela V. Vasileva
- Clinic of Endocrinology and Metabolic Disorders, “Kaspela” University Hospital, Plovdiv, Bulgaria
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Evandt J, Oftedal B, Hjertager Krog N, Nafstad P, Schwarze PE, Marit Aasvang G. A Population-Based Study on Nighttime Road Traffic Noise and Insomnia. Sleep 2017; 40:2662183. [PMID: 28364487 DOI: 10.1093/sleep/zsw055] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/05/2016] [Indexed: 11/13/2022] Open
Abstract
Study Objectives The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use. Methods We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009-2010; n = 13019). The insomnia symptoms difficulties falling asleep, awakenings during the night, and waking up too early in the morning as well as self-reported sleep medication use were included as outcomes. Modeled noise levels (Lnight) were assigned to each participant's home address. For selecting covariates to the statistical model, we used a directed acyclic graph. The associations between noise and sleep were analyzed using logistic regression models. Results After adjustment for potential confounders, we found an odds ratio (OR) of 1.05 (95% confidence interval [CI]: 1.01-1.09) for the association between traffic noise and difficulties falling asleep, in the total study population. For the association between traffic noise and awakenings during the night, the OR was 1.04 (95% CI: 1.00-1.08) and for waking up too early, the OR was 1.06 (95% CI: 1.02-1.11). The effect estimates are given per 5-dB increase in traffic noise level (Lnight). Self-reported sleep medication use was not statistically significantly associated with traffic noise exposure. Conclusions In an adult population from Oslo, traffic noise was associated with difficulties falling asleep and waking up too early. These findings indicate that sleep quantity may be compromised for individuals living in areas highly exposed to nighttime traffic noise.
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Affiliation(s)
- Jorunn Evandt
- Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway
| | - Bente Oftedal
- Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway
| | - Norun Hjertager Krog
- Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway
| | - Per Nafstad
- Department of Community Medicine, University of Oslo, Oslo, Norway.,Domain for Mental and Physical Health, Department of Noncommunicable Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Per E Schwarze
- Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway
| | - Gunn Marit Aasvang
- Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway
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Clark C, Sbihi H, Tamburic L, Brauer M, Frank LD, Davies HW. Association of Long-Term Exposure to Transportation Noise and Traffic-Related Air Pollution with the Incidence of Diabetes: A Prospective Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:087025. [PMID: 28934721 PMCID: PMC5783665 DOI: 10.1289/ehp1279] [Citation(s) in RCA: 109] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 05/07/2017] [Accepted: 05/09/2017] [Indexed: 05/18/2023]
Abstract
BACKGROUND Evidence for an association between transportation noise and cardiovascular disease has increased; however, few studies have examined metabolic outcomes such as diabetes or accounted for environmental coexposures such as air pollution, greenness, or walkability. OBJECTIVES Because diabetes prevalence is increasing and may be on the causal pathway between noise and cardiovascular disease, we examined the influence of long-term residential transportation noise exposure and traffic-related air pollution on the incidence of diabetes using a population-based cohort in British Columbia, Canada. METHODS We examined the influence of transportation noise exposure over a 5-y period (1994-1998) on incident diabetes cases in a population-based prospective cohort study (n=380,738) of metropolitan Vancouver (BC) residents who were 45-85 y old, with 4-y of follow-up (1999-2002). Annual average transportation noise (Lden), air pollution [black carbon, particulate matter with aerodynamic diameter <2.5μm (PM2.5), nitrogen oxides], greenness [Normalized Difference Vegetation Index (NDVI)], and neighborhood walkability at each participant's residence were modeled. Incident diabetes cases were identified using administrative health records. RESULTS Transportation noise was associated with the incidence of diabetes [interquartile range (IQR) increase, 6.8 A-weighted decibels (dBA); OR=1.08 (95% CI: 1.05, 1.10)]. This association remained after adjustment for environmental coexposures including traffic-related air pollutants, greenness, and neighborhood walkability. After adjustment for coexposure to noise, traffic-related air pollutants were not associated with the incidence of diabetes, whereas greenness was protective. CONCLUSION We found a positive association between residential transportation noise and diabetes, adding to the growing body of evidence that noise pollution exposure may be independently linked to metabolic health and should be considered when developing public health interventions. https://doi.org/10.1289/EHP1279.
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Affiliation(s)
- Charlotte Clark
- Centre for Psychiatry, Barts and The London School of Medicine and Dentistry, Queen Mary University of London , London, United Kingdom
| | - Hind Sbihi
- School of Population and Public Health, Faculty of Medicine, University of British Columbia , Vancouver, British Columbia, Canada
| | - Lillian Tamburic
- School of Population and Public Health, Faculty of Medicine, University of British Columbia , Vancouver, British Columbia, Canada
| | - Michael Brauer
- School of Population and Public Health, Faculty of Medicine, University of British Columbia , Vancouver, British Columbia, Canada
| | - Lawrence D Frank
- School of Community and Regional Planning, Faculty of Applied Science, University of British Columbia , Vancouver, British Columbia, Canada
| | - Hugh W Davies
- School of Population and Public Health, Faculty of Medicine, University of British Columbia , Vancouver, British Columbia, Canada
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Prins RG, Foley L, Mutrie N, Ogilvie DB. Effects of urban motorways on physical activity and sedentary behaviour in local residents: a natural experimental study. Int J Behav Nutr Phys Act 2017; 14:102. [PMID: 28750678 PMCID: PMC5530966 DOI: 10.1186/s12966-017-0557-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 07/21/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is little evidence on how changing the physical environment changes health-related behaviours. We studied the effects of the new M74 motorway (freeway) - opened in 2011 - and the existing M8 motorway in Glasgow, Scotland, on physical activity and sedentary behaviour among local residents. METHODS This natural experimental study used baseline (T1; 2005) and follow-up data (T2; 2013) from a longitudinal cohort (N = 365) and two cross-sectional samples (T1 N = 980; T2 N = 978). Adult participants were recruited from three study areas: one surrounding the new motorway, one surrounding the existing motorway, and a third, control, area without a motorway. The outcomes were self-reported time spent sitting, walking, and in moderate-to-vigorous physical activity (MVPA). Motorway exposure was defined in terms of (1) study area and (2) distance from home to the nearest motorway junction. Outcomes were regressed on exposures in two-part (walking and MVPA) or linear (sedentary behaviour) cohort and repeat cross-sectional models, adjusted for baseline behaviour and sociodemographic covariates. RESULTS Cohort participants living in the M8 area were less likely to participate in MVPA at follow-up than those living in the area without a motorway (OR 0.37; 95%CI 0.15, 0.91). Within the M8 area, those living closer to the motorway were also less likely to do so (OR 0.30; 95%CI 0.09, 0.97). No other statistically significant results were found. CONCLUSIONS We found some evidence of a negative association between exposure to an existing urban motorway and MVPA. However, the behavioural impacts of motorways are likely to be complex and evolve over time.
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Affiliation(s)
- R. G. Prins
- MRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research, University of Cambridge, School of Clinical Medicine, Box 285 Institute of Metabolic Science Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
| | - L. Foley
- MRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research, University of Cambridge, School of Clinical Medicine, Box 285 Institute of Metabolic Science Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
| | - N. Mutrie
- Physical Activity for Health Research Centre, Institute of Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, UK
| | - D. B. Ogilvie
- MRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research, University of Cambridge, School of Clinical Medicine, Box 285 Institute of Metabolic Science Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
| | - on behalf of the M74 study team
- MRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research, University of Cambridge, School of Clinical Medicine, Box 285 Institute of Metabolic Science Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
- Physical Activity for Health Research Centre, Institute of Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, UK
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Westergaard N, Gehring U, Slama R, Pedersen M. Ambient air pollution and low birth weight - are some women more vulnerable than others? ENVIRONMENT INTERNATIONAL 2017; 104:146-154. [PMID: 28390661 DOI: 10.1016/j.envint.2017.03.026] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 03/21/2017] [Accepted: 03/31/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND AND OBJECTIVES Ambient air pollution is controllable, and it is one of the greatest environmental threats to human health. Studies conducted worldwide have provided evidence that maternal exposure to ambient air pollution during pregnancy enhances the risk of low birth weight at term (TLBW, <2500g among infants born ≥37 completed weeks of gestation), a maker of intrauterine growth restriction (IUGR), and suggest that some subgroups of pregnant women who are smoking, of low or high body-mass index (BMI), low socioeconomic status (SES) or asthma are more vulnerable towards the effect of ambient air pollution. The aim of this commentary is to review the published literature on the association between ambient air pollution and TLBW regarding increased vulnerability for the above-mentioned subgroups. RESULTS Although more than fifty epidemiological studies have examined the associations between ambient air pollution and TLBW to date, we only identified six studies that examined the potential effect modification of the association between ambient air pollution and TLBW by the above listed maternal risk factors. Two studies assessed effect modification caused by smoking on the association between ambient air pollution and TLBW. The adjusted odds ratio (OR) for TLBW associated with exposure to ambient air pollution were in one study higher among women who smoked during pregnancy, as compared to the OR of non-smoking women, while in the other study the association was in the opposite direction. The association of ambient air pollution and TLBW were higher among women characterized by extreme BMI (two studies) and low SES compared to non-obese women or women of higher SES (four studies), respectively. Only one study reported the estimated effects among asthmatic and non-asthmatic women and no statistically significant effect modification was evident for the risk of TLBW associated with ambient air pollution. CONCLUSION AND RECOMMENDATIONS The current epidemiologic evidence is scarce, but suggests that pregnant women who are smoking, being underweight, overweight/obese or having lower SES are a vulnerable subpopulation when exposed to ambient air pollution, with and increased risk of having a child with TLBW. The limited evidence precludes for definitive conclusions and further studies are recommended.
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Affiliation(s)
- Nadja Westergaard
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Ulrike Gehring
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Rémy Slama
- INSERM/Centre National de la Recherche Scientifique (CNRS), Université Grenoble Alpes Joint Research Center, Grenoble, France
| | - Marie Pedersen
- Centre for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Danish Cancer Society Research Center, Copenhagen, Denmark.
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Wang P, Wang Y, Zou C, Guo J. A preliminary investigation of noise impact within metro stations in the urban city of Guangzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:11371-11382. [PMID: 28315054 DOI: 10.1007/s11356-017-8776-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 03/08/2017] [Indexed: 06/06/2023]
Abstract
The noise in the metro station is synthesized from a variety of different noise sources. Excessive noise exposure will bring serious impacts on humans' health. To alleviate the shortage of the urban land, most metro stations are planning to develop convenience stores and shopping malls. In order to evaluate the potential noise impact on humans' comfort in the metro stations, this study selected four representative stations of Guangzhou Metro Line 1 to carry out a preliminary questionnaire survey of 226 respondents for the perception and perform a noise measurement. Additionally, platform screen doors as a potential method for noise mitigation were examined. The results show that the noise caused by trains was dominant in the metro stations; however, the noise impact by public broadcast and passengers cannot be ignored. The noise levels of the transfer stations were obviously greater than the normal stations, especially during the peak hours. In addition, people in the metro stations have potential exposure to noise that the noise levels exceed the criteria limit of China, which would bring discomfort for humans; however, the normal activities of people would not be impacted. The platform screen doors should be further improved or relevant noise mitigation methods should be taken into account to reduce the noise level within the criteria limit.
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Affiliation(s)
- Peng Wang
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, 510641, China
| | - Yimin Wang
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, 510641, China
| | - Chao Zou
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, 510641, China.
| | - Jixing Guo
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, 510641, China
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Ogilvie D, Foley L, Nimegeer A, Olsen JR, Mitchell R, Thomson H, Crawford F, Prins R, Hilton S, Jones A, Humphreys D, Sahlqvist S, Mutrie N. Health impacts of the M74 urban motorway extension: a mixed-method natural experimental study. PUBLIC HEALTH RESEARCH 2017. [DOI: 10.3310/phr05030] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Background
Making travel easier can improve people’s access to opportunities, but motor transport also incurs substantial undesirable health and social impacts.
Aims
To assess how a new urban motorway affected travel and activity patterns, road accidents and well-being in local communities, and how these impacts were experienced and brought about.
Design
The Traffic and Health in Glasgow study, a mixed-method controlled before-and-after study.
Setting
Glasgow, UK.
Participants
Repeat cross-sectional survey samples of 1345 and 1343 adults, recruited in 2005 and 2013, respectively. Of these, 365 formed a longitudinal cohort, 196 took part in a quantitative substudy using accelerometers and global positioning system receivers and 30, living within 400 m of the new motorway, took part in a qualitative substudy along with 12 other informants. Complementary analyses used police STATS19 road traffic accident data (1997–2014) and Scottish Household Survey travel diaries (2009–13).
Intervention
A new 5-mile, six-lane section of the M74 motorway, opened in 2011 and running through predominantly deprived neighbourhoods in south-east Glasgow, with associated changes to the urban landscape.
Main outcome measures
Differences in self-reported travel behaviour (1-day travel record), physical activity (short International Physical Activity Questionnaire) and well-being [Short Form 8 Health Survey (SF-8) and a short version of the Warwick–Edinburgh Mental Well-being Scale], and in the incidence of road traffic accidents.
Methods
A combination of multivariable cohort, cross-sectional, repeat cross-sectional and interrupted time series regression analyses comparing residents of the ‘M74 corridor’ intervention area and two matched control areas, complemented by novel qualitative spatial methods. Graded measures of the proximity of the motorway to each participant’s home served as a further basis for controlled comparisons.
Results
Both benefits and harms were identified. Cohort participants living closer to the new motorway experienced significantly reduced mental well-being (mental component summary of the SF-8 scale) over time compared with those living further away [linear regression coefficient –3.6, 95% confidence interval (CI) –6.6 to –0.7]. In the area surrounding an existing motorway, this association was concentrated among those with chronic conditions. In repeat cross-sectional analyses, participants living closer to a new motorway junction were more likely to report using a car at follow-up than those living further away (odds ratio 3.4, 95% CI 1.1 to 10.7). We found weaker quantitative evidence of a decline in physical activity participation and no quantitative evidence of an overall change in either active travel or accidents associated with motorway exposure. Qualitative evidence suggested that, although the new motorway improved connectivity for those with dispersed social networks and access to motor vehicles, the impacts were more complex for others, some of whom found the motorway to be a cause of severance. Changes in community composition and cohesion, and perceptions of personal safety, were widely perceived as more important to local people.
Limitations
A key limitation of natural experimental studies is that the risk of residual confounding cannot be eliminated.
Conclusions
Overall, these findings highlight the potential for urban infrastructural projects of this kind to add further burdens to already disadvantaged communities, exacerbating inequalities and contributing to poorer health outcomes. The health and social impacts of such initiatives should be more fully taken into account in planning and research.
Funding
The National Institute for Health Research Public Health Research programme.
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Affiliation(s)
- David Ogilvie
- Medical Research Council (MRC) Epidemiology Unit and Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Louise Foley
- Medical Research Council (MRC) Epidemiology Unit and Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Amy Nimegeer
- Medical Research Council/Chief Scientist Office (MRC/CSO) Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Jonathan R Olsen
- Centre for Research on Environment, Society and Health, Institute of Health and Well-being, University of Glasgow, Glasgow, UK
| | - Richard Mitchell
- Centre for Research on Environment, Society and Health, Institute of Health and Well-being, University of Glasgow, Glasgow, UK
| | - Hilary Thomson
- Medical Research Council/Chief Scientist Office (MRC/CSO) Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Fiona Crawford
- NHS Greater Glasgow & Clyde, Glasgow, UK
- Glasgow Centre for Population Health, Glasgow, UK
| | - Richard Prins
- Medical Research Council (MRC) Epidemiology Unit and Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Shona Hilton
- Medical Research Council/Chief Scientist Office (MRC/CSO) Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Andy Jones
- Norwich Medical School and Centre for Diet and Activity Research (CEDAR), University of East Anglia, Norwich, UK
| | - David Humphreys
- Department of Social Policy and Intervention, University of Oxford, Oxford, UK
| | - Shannon Sahlqvist
- School of Exercise and Nutrition, Deakin University, Geelong, VIC, Australia
| | - Nanette Mutrie
- Physical Activity for Health Research Centre, University of Edinburgh, Edinburgh, UK
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