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Peer MY, Mir MS, Vanapalli KR, Mohanty B. Road traffic noise pollution and prevalence of ischemic heart disease: modelling potential association and abatement strategies in noise-exposed areas. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:749. [PMID: 39026120 DOI: 10.1007/s10661-024-12916-4] [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: 01/14/2024] [Accepted: 07/11/2024] [Indexed: 07/20/2024]
Abstract
In many developing countries with surging vehicular traffic and inadequate traffic management, excessive road traffic noise exposure poses substantial health concerns, linked to increased stress, insomnia and other metabolic disorders. This study aims to assess the linkage between sociodemographic factors, traffic noise levels in residential areas and health effects using a cross-sectional study analyzing respondents' perceptions and reports. Noise levels were measured at 57 locations in Srinagar, India, using noise level meter. Sound PLAN software was employed to generate noise contour maps, enabling the visualization of noise monitoring locations and facilitating the assessment of noise levels along routes in proximity to residential areas. Correlation analysis showed a strong linear relationship between field-measured and modelled noise (r2 = 0.88). Further, a questionnaire-based survey was carried out near the sampling points to evaluate the association of ischemic heart disease with traffic noise. Residents exposed to noise levels (Lden > 60 dB(A)) were found to have a 2.24 times higher odds ratio. Compared to females, males reported a 16% higher prevalence of the disease. Multi-faceted policy strategies involving noise mapping initiatives, source noise standards, traffic flow urban mobility optimization, smart city initiatives and stringent litigatory measures could significantly reduce its detrimental impact on public health. Finally, this study envisions a region-specific strong regulatory framework for integrating noise pollution mitigation strategies into the public health action plans of developing nations.
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Affiliation(s)
- Muzzamil Yaseen Peer
- Department of Civil Engineering, National Institute of Technology, Aizawl, Mizoram, India.
| | - Mohammad Shafi Mir
- Department of Civil Engineering, National Institute of Technology, Srinagar, Jammu and Kashmir, India
| | - Kumar Raja Vanapalli
- Department of Civil Engineering, National Institute of Technology, Aizawl, Mizoram, India.
| | - Bijayananda Mohanty
- Department of Civil Engineering, National Institute of Technology, Aizawl, Mizoram, India
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2
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Xiao H, Li Y, Liu X, Wen Q, Yao C, Zhang Y, Xie W, Wu W, Wu L, Ma X, Li Y, Ji A, Cai T. High ambient temperature may increase the risk of anemia in pregnancy: Identifying susceptible exposure windows. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:172059. [PMID: 38556012 DOI: 10.1016/j.scitotenv.2024.172059] [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: 11/08/2023] [Revised: 03/16/2024] [Accepted: 03/26/2024] [Indexed: 04/02/2024]
Abstract
Anemia in pregnancy (AIP) is associated with multiple severe maternal and perinatal adverse outcomes. However, there is a lack of evidence on the association between environmental factors and AIP. Aim to explore the association between ambient temperature and the risk of AIP, and identify susceptible exposure windows, we conducted a matched case-control study from 2013 to 2016 in Xi'an, China, which included 710 women with AIP and 1420 women without AIP. The conditional logistic regression model was used to evaluate the association between ambient temperature and AIP at different gestational weeks and gestational months. The association between extreme temperature and AIP was evaluated using the distributed lag nonlinear model (DLNM). We conducted stratified analyses of age, parity, and season of conception, and estimated the interaction between ambient temperature and air pollutants on AIP. Ambient temperature was significantly positively associated with the risk of AIP, and the susceptible exposure windows were 2-25 gestational weeks and 1-6 gestational months, respectively. The strongest effect was observed in the week 8 and month 2, for each 1 °C increase in weekly and monthly mean temperature, the odds ratio (OR) for AIP was 1.038 (95 % confidence interval (CI): 1.022, 1.055) and 1.040 (95 % CI: 1.020, 1.060), respectively. Extreme heat may increase the risk of AIP. Stratified analyses showed that there was no significant difference among different age, parity, and season of conception groups. No significant interaction effect of ambient temperature with air pollution on AIP was found. In summary, high ambient temperature may increase the risk of AIP, and the first and second trimesters may be susceptible exposure windows. Understanding the effect of temperature on pregnant women will be beneficial to reduce the occurrence of AIP.
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Affiliation(s)
- Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yunlong Li
- Department of Hematology, Chongqing Hospital of Jiangsu Province Hospital (Qijiang People Hospital), Chongqing 401420, China
| | - Xiaoling Liu
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Qin Wen
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), 400037, China
| | - Chunyan Yao
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yao Zhang
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Weijia Xie
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Wenhui Wu
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Long Wu
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Xiangyu Ma
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Ailing Ji
- Department of Digital Health, Chongqing College of Architecture and Technology, Chongqing 401331, China.
| | - Tongjian Cai
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China.
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Olgun R, Karakuş N, Selim S, Eyileten B. Assessment and mapping of noise pollution in recreation spaces using geostatistic method after COVID-19 lockdown in Turkey. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:33428-33442. [PMID: 38684610 PMCID: PMC11136750 DOI: 10.1007/s11356-024-33434-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/18/2024] [Indexed: 05/02/2024]
Abstract
Increased use of recreational areas after the lifting of COVID-19 pandemic restrictions has led to increased noise levels. This study aims to determine the level of noise pollution experienced in recreational areas with the increasing domestic and international tourism activities after the lifting of pandemic lockdowns, to produce spatial distribution maps of noise pollution, and to develop strategic planning suggestions for reducing noise pollution in line with the results obtained. Antalya-Konyaaltı Beach Recreation Area, the most important international tourism destination of Turkey, is determined as the study area. To determine the existing noise pollution, 31 measurement points were marked at 100 m intervals within the study area. Noise measurements were taken during the daytime (07:00-19:00), evening (19:00-23:00), and nighttime (23:00-07:00) on weekdays (Monday, Wednesday, Friday) and weekends (Sunday) over 2 months in the summer when the lockdown was lifted. In addition, the sound level at each measurement point was recorded for 15 min, while the number of vehicles passing through the area during the same period was determined. The database created as a result of measurements and observations was analyzed using statistical and geostatistical methods. After the analysis of the data, it was found that the co-kriging-stable model showed superior performance in noise mapping. Additionally, it was revealed that there is a high correlation between traffic density and noise intensity, with the highest equivalent noise level (Leq) on weekdays and weekend evenings due to traffic and user density. In conclusion, regions exposed to intense noise pollution were identified and strategic planning recommendations were developed to prevent/reduce noise sources in these identified regions.
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Affiliation(s)
- Rifat Olgun
- Vocational School of Serik G-S. Sural, Akdeniz University, Antalya, 07500, Turkey.
- The Design School, Arizona State University, Tempe, 85287, USA.
| | - Nihat Karakuş
- Vocational School of Serik G-S. Sural, Akdeniz University, Antalya, 07500, Turkey
- Institute of Science, Akdeniz University, 07058, Antalya, Turkey
| | - Serdar Selim
- Faculty of Science, Akdeniz University, 07058, Antalya, Turkey
| | - Buket Eyileten
- Institute of Science, Akdeniz University, 07058, Antalya, Turkey
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Schubert M, Romero Starke K, Gerlach J, Reusche M, Kaboth P, Schmidt W, Friedemann D, Hegewald J, Zeeb H, Zülke A, Riedel-Heller SG, Seidler A. Traffic-Related High Sleep Disturbance in the LIFE-Adult Cohort Study: A Comparison to the WHO Exposure-Response-Curves. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4903. [PMID: 36981810 PMCID: PMC10049209 DOI: 10.3390/ijerph20064903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/23/2023] [Accepted: 03/08/2023] [Indexed: 06/18/2023]
Abstract
Sleep is negatively affected by environmental noise. In the present study, we investigated self-reported high sleep disturbances (being "highly sleep disturbed"-HSD) from road traffic (primary and secondary road networks), rail (train and tram) and air traffic noise in the LIFE-Adult cohort study in Leipzig, Germany. For this, we used exposure data from 2012 and outcome data of Wave 2 (collected during 2018-2021). HSD was determined and defined according to internationally standardized norms. The highest risk for transportation noise-related HSD was found for aircraft noise: the odds ratio (OR) was 19.66, 95% CI 11.47-33.71 per 10 dB increase in Lnight. For road and rail traffic, similar risk estimates were observed (road: OR = 2.86, 95% CI 1.92-4.28; rail: OR = 2.67, 95% CI 2.03-3.50 per 10 dB Lnight increase). Further, we compared our exposure-risk curves with the curves of the WHO environmental noise guidelines for the European region. The proportion of individuals with HSD for a given noise level was lower for rail traffic but higher for aircraft noise in the LIFE study than in the WHO curves. For road traffic, curves are not directly comparable because we also included the secondary road network. The results of our study add to the body of evidence for increased health risks by traffic noise. Moreover, the results indicate that aircraft noise is particularly harmful to health. We recommend reconsidering threshold values for nightly aircraft exposure.
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Affiliation(s)
- Melanie Schubert
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Karla Romero Starke
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Julia Gerlach
- Institute of Transport Planning and Road Traffic, Technische Universität Dresden, 01069 Dresden, Germany
| | - Matthias Reusche
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, 04107 Leipzig, Germany
| | - Pauline Kaboth
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Wolfram Schmidt
- Institute of Transport Planning and Road Traffic, Technische Universität Dresden, 01069 Dresden, Germany
- Lohmeyer GmbH, 01067 Dresden, Germany
| | | | - Janice Hegewald
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz-Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany
- Health Sciences Bremen, University of Bremen, 28359 Bremen, Germany
| | - Andrea Zülke
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, 04103 Leipzig, Germany
| | - Steffi G. Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, 04103 Leipzig, Germany
| | - Andreas Seidler
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
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Lan Z, Yuan M, Shao S, Li F. Noise Emission Models of Electric Vehicles Considering Speed, Acceleration, and Motion State. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3531. [PMID: 36834228 PMCID: PMC9959875 DOI: 10.3390/ijerph20043531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/12/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Electric vehicles, known for their low-noise emission, are popular and widespread in metropolises in China, and they provide an opportunity for a reduction in environmental noise from vehicles. To understand the noise from electric vehicles better, this study develops noise emission models considering speed, acceleration, and motion state. The model construction is based on the data collected from a pass-by noise measurement experiment in Guangzhou, China. The models describe a linear relationship between the noise level, the logarithm of speed, and the acceleration for multiple motion states (i.e., the constant-speed state, the acceleration state, and the deceleration state). From the spectrum analysis, the low-frequency noise is barely affected by the speed and acceleration, but the noise at a certain frequency is most sensitive to them. Compared to other models, the proposed ones have the highest accuracy and the greatest ability for extrapolation and generalization.
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Affiliation(s)
- Ziqin Lan
- National Environmental Protection Engineering and Technology Center for Road Traffic Noise Control, Beijing 100088, China
- Research Institute of Highway Ministry of Transport, Beijing 100088, China
- School of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China
| | - Minmin Yuan
- National Environmental Protection Engineering and Technology Center for Road Traffic Noise Control, Beijing 100088, China
- Research Institute of Highway Ministry of Transport, Beijing 100088, China
| | - Shegang Shao
- National Environmental Protection Engineering and Technology Center for Road Traffic Noise Control, Beijing 100088, China
- Research Institute of Highway Ministry of Transport, Beijing 100088, China
| | - Feng Li
- School of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China
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Guha AK, Gokhale S. Urban workers' cardiovascular health due to exposure to traffic-originated PM 2.5 and noise pollution in different microenvironments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160268. [PMID: 36402323 DOI: 10.1016/j.scitotenv.2022.160268] [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: 08/21/2022] [Revised: 10/21/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
The cardiovascular health of the people in urbanised cities is linked to traffic air, and noise pollution. This study investigated the cardiovascular health of people working in two microenvironments such as street (vendors) and workplace (office workers) whose blood pressure (BP) and heart rate (HR) might be affected due to regular exposure to PM2.5 and traffic noise. The PM2.5 and noise levels measurements, face-to-face questionnaire survey and health check-ups were carried out on working days from 10 A.M. to 8 P.M. in Jan-Dec 2019. The data was analysed by various statistical approaches in which the link between the traffic-borne PM2.5 and noise level at 1/3rd octave frequencies has been established with the participants' BP and HR considering the demographic, socio-contextual, habitual and annoyance perception factors. The median measure of PM2.5 and noise levels violated the WHO and NAAQS limits, i.e. 106.67 μg/m3 at street level and 33.33 μg/m3 at office indoor; and 71.35 dB (A) at the street and 65.78 dB (A) at office indoor. The results further showed that the workers working in traffic corridors had abnormally high BP and HR. The systolic BP, diastolic BP and HR values were higher than normal in male workers than female workers. The influence of low noise spectrum (50-630 Hz) was mostly observed. Therefore, the combined effect of PM2.5 > 50 μg/m3 and noise spectrum (63 and 100 Hz) > 30 dB (A) significantly affect office workers' health in traffic corridors. The hearing aids, breathing troubles in the traffic corridor and annoyance perception also influenced the BP and HR of the respondents. The results are indicative and might be helpful in urban environmental planning to improve the well-being of urban traffic corridor users.
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Affiliation(s)
- Argha Kamal Guha
- Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.
| | - Sharad Gokhale
- Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.
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Automated identification and assessment of environmental noise sources. Heliyon 2023; 9:e12846. [PMID: 36685460 PMCID: PMC9852937 DOI: 10.1016/j.heliyon.2023.e12846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
Noise pollution is one of the major health risks in urban life. The approach to measurement and identification of noise sources needs to be improved and enhanced to reduce high costs. Long measurement times and the need for expensive equipment and trained personnel must be automated. Simplifying the identification of main noise sources and excluding residual and background noise allows more effective measures. By spatially filtering the acoustic scene and combining unsupervised learning with psychoacoustic features, this paper presents a prototype system capable of automated calculation of the contribution of individual noise sources to the total noise level. Pilot measurements were performed at three different locations in the city of Ljubljana, Slovenia. Equivalent sound pressure levels obtained with the device were compared to the results obtained by manually marking individual parts of each of the three measurements. The proposed approach correctly identified the main noise sources in the vicinity of the measurement points.
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Ihara T, Narumi D, Fukuda S, Kondo H, Genchi Y. Loss of disability-adjusted life years due to heat-related sleep disturbance in the Japanese. Sleep Biol Rhythms 2023; 21:69-84. [PMID: 38468899 PMCID: PMC10899916 DOI: 10.1007/s41105-022-00419-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 08/16/2022] [Indexed: 10/14/2022]
Abstract
The purpose of this study was to quantify the sleep disturbances caused by climate change using disability-adjusted life years (DALY). The revised sleep quality index for daily sleep (SQIDS2), a self-administered questionnaire for daily sleep quality, was developed to assess daily sleep disturbances. This questionnaire referenced and simplified the Pittsburgh Sleep Quality Index (PSQI). This study was conducted in Nagoya City in August 2011 and 2012. Sleep quality was measured using SQIDS2 and PSQI. A total of 574 participants in 2011 and 710 in 2012 responded to the survey. The sleep disturbance prevalence calculated from the SQIDS2 score was correlated with the daily minimum temperature (p = 0.0067). This score increased when the daily minimum temperature was above 24.8 °C. When correcting for the PSQI score, DALY loss due to heat-related sleep disturbances in Nagoya City (population: 2,266,851) was estimated to be 81.8 years in 2012. This value was comparable to the DALY loss due to heatstroke. Sleep disturbance due to climate change was quantified using the DALY based on the PSQI. Legislators must recognize the critical impact of the damage caused by sleep disturbances due to high temperatures at night. Additionally, a daily minimum temperature of 25 °C should be the starting point when establishing a goal or guideline for nighttime temperature.
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Affiliation(s)
- Tomohiko Ihara
- Department of Environment Systems, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8563 Japan
- Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki 305-8569 Japan
| | - Daisuke Narumi
- Division of Social Engineering and Environmental Management, Graduate School of Environmental and Life Science, Okayama University, 3-1-1 Tsushimanaka, Kita-ku, Okayama, Okayama 700-8530 Japan
| | - Sanae Fukuda
- Department of Health Science, Faculty of Health and Welfare, Kansai University of Welfare Sciences, 3-11-1 Asahigaoka, Kashiwara, Osaka 582-0026 Japan
| | - Hiroaki Kondo
- Japan Weather Association, 3-1-1, Higashi-ikebukuro, Toshima-ku, Tokyo, 177-6055 Japan
- Environmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, 16-1 Onogawa, Tsukuba, Ibaraki 305-8569 Japan
| | - Yutaka Genchi
- Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki 305-8569 Japan
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Bao WW, Xue WX, Jiang N, Huang S, Zhang SX, Zhao Y, Chen YC, Dong GH, Cai M, Chen YJ. Exposure to road traffic noise and behavioral problems in Chinese schoolchildren: A cross-sectional study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 837:155806. [PMID: 35561898 DOI: 10.1016/j.scitotenv.2022.155806] [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: 01/01/2022] [Revised: 05/05/2022] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Transportation noise is second only to air pollution as an environmental contributor to adverse health outcomes in Western countries. However, no studies investigated the association between road traffic noise and behavioral problems among schoolchildren in China. OBJECTIVE To investigate the association between exposure to road traffic noise at home and behavioral problems in Chinese schoolchildren. METHODS From January to June 2017, we screened 3236 children aged 7-13 years in Guangzhou (Guangdong, China) from the first investigation of an ongoing school-based cohort study with complete information on behavioral problems and residential geolocation. Residential road traffic noise exposure levels were assessed using a validated modeling method in different periods of the day, including daytime (Lday), nighttime (Lnight), and weighted 24-hr (Ldn). The annual mean concentration of nitrogen dioxide was also modeled in our study. Behavioral problems were assessed by the parent-rated Strengths and Difficulties Questionnaire (SDQ). Generalized linear mixed models were utilized to estimate the associations between road traffic noise and behavioral problems. RESULTS In the main adjusted model, a 10-dB increase in Ldn was associated with 0.33 (95% CI: 0.08, 0.59), 0.08 (95% CI: -0.01, 0.17), and 0.09 (95% CI: 0.01, 0.16) increases in three subscales score for total difficulties score, emotional problems, and conduct problems, respectively. The same increase in Ldn was also associated with the abnormal total difficulties score (OR = 1.25, 95%CI: 1.01, 1.55), emotional problems (OR = 1.19, 95%CI: 0.98, 1.44), and conduct problems (OR = 1.28, 95%CI:1.02, 1.63). Externalising behavior appears more susceptible to traffic noise than internalising behavior. NO2 had a small impact on the associations between Ldn and behavioral problems. Our estimates were generally robust in several sensitivity analyses. CONCLUSION Residential road traffic noise exposure might be related to increased behavioral problems in Chinese schoolchildren, such as emotional symptoms and conduct problems.
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Affiliation(s)
- Wen-Wen Bao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wang-Xing Xue
- School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China; Guangdong Province Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510006, China
| | - Nan Jiang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shan Huang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shu-Xin Zhang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yu Zhao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yi-Can Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ming Cai
- School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China; Guangdong Province Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510006, China.
| | - Ya-Jun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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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. Association of road traffic noise exposure and prevalence of coronary artery disease: A cross-sectional study in North India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:53458-53477. [PMID: 34031834 PMCID: PMC8143803 DOI: 10.1007/s11356-021-14582-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 05/21/2021] [Indexed: 05/21/2023]
Abstract
Epidemiological studies have established that noise from transportation sources exceeding the safe limits elevates the risk for cardiovascular diseases. The results however have remained heterogeneous. The present study was conducted to investigate the association between road traffic noise exposure and prevalence of coronary artery disease besides sub-group analysis was performed for identifying the most susceptible population. Traffic noise exposure was measured using the Lden metric in both continuous and categorical forms. A cross-sectional study was performed and information about sociodemographic, lifestyle, and health-related factors was collected. Noise level < 60 dB(A) representing the quiet areas was used as the reference group. Univariate and multivariate logistic regressions were performed to estimate the odds for self-reported coronary artery disease concerning road traffic noise after adjusting for confounding variables. The residents living in noisy areas were found to have a 2.25 times higher risk per 5 dB(A) increment in the noise levels (95% CI = 1.38 to 3.67). Males were at a higher risk of CAD (OR = 2.61; 95% CI = 1.84 to 3.72) as compared to females (OR = 2.07; 95% CI = 1.37-3.13). The subgroup analysis revealed that being sensitive to noise, belonging to a higher age group, reporting higher stress levels, and poor sleep quality were associated with higher risk. The study also provides evidence that exposure to noise levels greater than 60 dB(A) is associated with the prevalence of coronary artery disease in adults.
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Affiliation(s)
- Towseef Ahmed Gilani
- 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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Hegewald J, Schubert M, Lochmann M, Seidler A. The Burden of Disease Due to Road Traffic Noise in Hesse, Germany. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18179337. [PMID: 34501923 PMCID: PMC8431690 DOI: 10.3390/ijerph18179337] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/30/2021] [Accepted: 08/30/2021] [Indexed: 11/26/2022]
Abstract
Road-traffic-noise exposition is widespread in Germany and can have harmful health effects. As guidance for informed decision-making, we estimated the environmental burden of disease attributable to road-traffic noise in Hesse, Germany as disability-adjusted life-years (DALYs). Using detailed road-traffic-noise exposure data provided by the Hessian Agency for Nature Conservation, Environment, and Geology (HLNUG), we calculated the DALYs due to road-traffic noise > 40 dB(A) L24h (unweighted average 24 h noise level) and other noise metrics for endpoints with known dose-response functions and evidence in the literature (NORAH-study on disease risks and WHO reviews): cardiovascular disease, depressive disorders, road-traffic annoyance, and sleep disturbance. We calculated the population-attributable fractions (PAF) for road-noise-related cardiovascular disease (hypertensive heart disease, ischemic heart disease, and stroke) and depressive disorders in the population using published relative risk estimates. We multiplied the PAFs with the Hessian proportion of the 2015 WHO DALY estimates for Germany in people aged ≥ 40 years. For high annoyance and high sleep disturbance, we used published dose-response functions to determine the burden for residents of all ages. For Hesse, we found a total of 26,501 DALYs attributable to road-traffic noise or 435 DALY per 100,000 persons for the reference year, 2015. Further, we estimated that a hypothetic uniform road-traffic-noise reduction of 3 dB would prevent 23% of this burden of disease.
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Affiliation(s)
- Janice Hegewald
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany; (J.H.); (M.S.)
- Institute of Sociology, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, Thüringer Weg 9, 09126 Chemnitz, Germany
| | - Melanie Schubert
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany; (J.H.); (M.S.)
| | - Matthias Lochmann
- Hessian Agency for Nature Conservation, Environment and Geology (HLNUG), Rheingaustraße 186, 65023 Wiesbaden, Germany;
| | - Andreas Seidler
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany; (J.H.); (M.S.)
- Correspondence:
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