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Kuehne LM, Habtour E, Echenagucia TM, Orfield SJ. Technology-forcing to reduce environmental noise pollution: a prospectus. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00679-6. [PMID: 38858533 DOI: 10.1038/s41370-024-00679-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Environmental movements of the late 20th century resulted in sweeping legislation and regulatory actions to reduce the prevalence of diverse pollutants. Although the consequences of noise pollution to public health, environment, and the economy have been recognized over the same time period, noise has received far less policy attention. Correspondingly, even while evidence of the diverse and detrimental effects of noise pollution on human health has grown, solutions and actual reductions in environmental noise remain seemingly out of reach. OBJECTIVE To address this shortcoming, we developed a prospectus for environmental noise reduction through technology-forcing policies. Technology-forcing describes intent to encourage technological solutions for pollution control through policy and regulations, and has been a critical component of national and global progress in reducing environmental pollutants. METHODS We take advantage of the unique policy history for noise in the United States - which initially enacted, but then abandoned federal noise regulation. We compare this history against outcomes from contemporaneous environmental legislation for air, water, and occupational pollution control, to demonstrate the potential for technology-forcing to reduce noise pollution. Our review then identifies promising solutions, in the form of existing technologies suitable for innovation and diffusion through technology-forcing regulations and incentives. RESULTS Based on this review, we outline a program for noise policy development to support efforts to reduce environmental noise pollution worldwide. The proposed program consists of three steps, which are to (i) identify dominant sources of noise pollution, (ii) combine legislative or regulatory provisions with suitable systems of enforcement and incentives, and (iii) anticipate and prepare for stages of technological change. IMPACT STATEMENT Analysis of noise policy often focuses on justifying the need to reduce noise pollution. In this article, we demonstrate how technology-forcing regulations could also promote much-needed innovation and diffusion of technologies to reduce environmental noise pollution. We first establish the potential for technology-forcing by comparing technology outcomes from environmental legislation passed contemporaneously to the inactive US Noise Control Act. We next review promising innovations available for diffusion in multiple sectors to reduce environmental noise. Lastly, we recommend a program to support development of technology-forcing noise policies, to help ensure that the benefits of reduced noise pollution are distributed equitably.
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Affiliation(s)
| | - Ed Habtour
- Department of Aeronautics & Astronautics, University of Washington, Seattle, WA, 98105, USA.
| | | | - Steven J Orfield
- Orfield Laboratories Inc., 2709 East 25th St., Minneapolis, MN, 55406, USA
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Cadman T, Strandberg-Larsen K, Calas L, Christiansen M, Culpin I, Dadvand P, de Castro M, Foraster M, Fossati S, Guxens M, Harris JR, Hillegers M, Jaddoe V, Lee Y, Lepeule J, El Marroun H, Maule M, McEachen R, Moccia C, Nader J, Nieuwenhuijsen M, Nybo Andersen AM, Pearson R, Swertz M, Vafeiadi M, Vrijheid M, Wright J, Lawlor DA, Pedersen M. Urban environment in pregnancy and postpartum depression: An individual participant data meta-analysis of 12 European birth cohorts. ENVIRONMENT INTERNATIONAL 2024; 185:108453. [PMID: 38368715 DOI: 10.1016/j.envint.2024.108453] [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: 10/17/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Urban environmental exposures associate with adult depression, but it is unclear whether they are associated to postpartum depression (PPD). OBJECTIVES We investigated associations between urban environment exposures during pregnancy and PPD. METHODS We included women with singleton deliveries to liveborn children from 12 European birth cohorts (N with minimum one exposure = 30,772, analysis N range 17,686-30,716 depending on exposure; representing 26-46 % of the 66,825 eligible women). We estimated maternal exposure during pregnancy to ambient air pollution with nitrogen dioxide (NO2) and particulate matter (PM2.5 and PM10), road traffic noise (Lden), natural spaces (Normalised Difference Vegetation Index; NDVI, proximity to major green or blue spaces) and built environment (population density, facility richness and walkability). Maternal PPD was assessed 3-18 months after birth using self-completed questionnaires. We used adjusted logistic regression models to estimate cohort-specific associations between each exposure and PPD and combined results via meta-analysis using DataSHIELD. RESULTS Of the 30,772 women included, 3,078 (10 %) reported having PPD. Exposure to PM10 was associated with slightly increased odds of PPD (adjusted odd ratios (OR) of 1.08 [95 % Confidence Intervals (CI): 0.99, 1.17] per inter quartile range increment of PM10) whilst associations for exposure to NO2 and PM2.5 were close to null. Exposure to high levels of road traffic noise (≥65 dB vs. < 65 dB) was associated with an OR of 1.12 [CI: 0.95, 1.32]. Associations between green spaces and PPD were close to null; whilst proximity to major blue spaces was associated with increased risk of PPD (OR 1.12, 95 %CI: 1.00, 1.26). All associations between built environment and PPD were close to null. Multiple exposure models showed similar results. DISCUSSION The study findings suggest that exposure to PM10, road traffic noise and blue spaces in pregnancy may increase PPD risk, however future studies should explore this causally.
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Affiliation(s)
- Tim Cadman
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam, the Netherlands; Department of Social Medicine, School of Medicine, University of Crete, Greece.
| | - Katrine Strandberg-Larsen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Lucinda Calas
- Inserm, UMR1153 Center for Research in Epidemiology and Statistics (CRESS), Early Life Research on Later Health Team (EARoH), Paris, France
| | - Malina Christiansen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Iryna Culpin
- MRC Integrative Epidemiology Unit at the University of Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, United Kingdom
| | - Payam Dadvand
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Montserrat de Castro
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Maria Foraster
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Serena Fossati
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Mònica Guxens
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain; Department of Child and Adolescent Psychiatry, University Medical Center, Erasmus MC, Rotterdam, the Netherlands
| | - Jennifer R Harris
- Center for Fertility and Health, Norwegian Institute of Public Health, Olso, Norway
| | - Manon Hillegers
- Department of Child and Adolescent Psychiatry, University Medical Center, Erasmus MC, Rotterdam, the Netherlands
| | - Vincent Jaddoe
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Yunsung Lee
- Center for Fertility and Health, Norwegian Institute of Public Health, Olso, Norway
| | - Johanna Lepeule
- Université Grenoble Alpes INSERM CNRS Institute for Advanced Biosciences Team of Environmental Epidemiology Applied to Development and Respiratory Health, F-38700 La Tronche, France
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry, University Medical Center, Erasmus MC, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Milena Maule
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy
| | - Rosie McEachen
- Bradford Institute for Health Research, Bradford BD9 6RJ, United Kingdom
| | - Chiara Moccia
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy
| | - Johanna Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Anne-Marie Nybo Andersen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rebecca Pearson
- MRC Integrative Epidemiology Unit at the University of Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, United Kingdom; Manchester Metropolitan University, All Saints Building, All Saints, Manchester, United Kingdom
| | - Morris Swertz
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marina Vafeiadi
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford BD9 6RJ, United Kingdom
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, United Kingdom
| | - Marie Pedersen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Hahad O, Kuntic M, Al-Kindi S, Kuntic I, Gilan D, Petrowski K, Daiber A, Münzel T. Noise and mental health: evidence, mechanisms, and consequences. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00642-5. [PMID: 38279032 DOI: 10.1038/s41370-024-00642-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/13/2024] [Accepted: 01/15/2024] [Indexed: 01/28/2024]
Abstract
The recognition of noise exposure as a prominent environmental determinant of public health has grown substantially. While recent years have yielded a wealth of evidence linking environmental noise exposure primarily to cardiovascular ailments, our understanding of the detrimental effects of noise on the brain and mental health outcomes remains limited. Despite being a nascent research area, an increasing body of compelling research and conclusive findings confirms that exposure to noise, particularly from sources such as traffic, can potentially impact the central nervous system. These harms of noise increase the susceptibility to mental health conditions such as depression, anxiety, suicide, and behavioral problems in children and adolescents. From a mechanistic perspective, several investigations propose direct adverse phenotypic changes in brain tissue by noise (e.g. neuroinflammation, cerebral oxidative stress), in addition to feedback signaling by remote organ damage, dysregulated immune cells, and impaired circadian rhythms, which may collectively contribute to noise-dependent impairment of mental health. This concise review linking noise exposure to mental health outcomes seeks to fill research gaps by assessing current findings from studies involving both humans and animals.
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Affiliation(s)
- Omar Hahad
- Department of Cardiology-Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
- German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany.
| | - Marin Kuntic
- Department of Cardiology-Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
| | - Sadeer Al-Kindi
- Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX, USA
| | - Ivana Kuntic
- Department of Cardiology-Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Donya Gilan
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Katja Petrowski
- Medical Psychology & Medical Sociology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology-Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
| | - Thomas Münzel
- Department of Cardiology-Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
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Abdmouleh MA, Dahech S. Spatio-temporal variation of noise pollution in South Paris during and outside the COVID-19 lockdowns. Sci Rep 2024; 14:1487. [PMID: 38233412 PMCID: PMC10794690 DOI: 10.1038/s41598-024-51305-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/03/2024] [Indexed: 01/19/2024] Open
Abstract
Noise pollution is one of the major environmental problems of contemporary societies. In urban areas, road transport is the main source impacting the spatio-temporal variation of air quality. This work aims to analyse the spatio-temporal variability of the noise level in the 13th arrondissement during peak hours, focusing on the comparison of noise levels between the COVID-19 lockdown and non-lockdown days. This paper provides data that could be used to evaluate noise mitigation options. Mobile surveys, using EXTECH 4017764 sensors, were used to cover 272 points. In this work, the mobile measurements use the median of instant noise levels measured every 5 s over a 5-min period during the peak period. This study confirms that road traffic appears to be the determining factor in noise pollution. The noise levels calculated in 2020 show a strong spatio-temporal variability explained by the proximity of the emission sources, but also that the noise level decreases by 6-10 dB (A) during the lockdowns. Indeed, near the main roads, 57-63 dB (A) are recorded during the lockdowns, compared to 67-72 dB (A) outside the lockdowns. Mainly the number of vehicles contribute to a large part of the noise level, to which the noise of construction sites can occasionally be added as in the south-eastern part of the study area.
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Affiliation(s)
- M A Abdmouleh
- UFR GHES UMR 8586 du CNRS (PRODIG), Faculté Sociétés Et Humanités, Université Paris Cité, Paris, France
| | - S Dahech
- UFR GHES UMR 8586 du CNRS (PRODIG), Faculté Sociétés Et Humanités, Université Paris Cité, Paris, France.
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Hu J, Liu B, Cui H, Liu Y, Wan N, Li L, Zheng L, Wang X, Yang Z, Ma Y, Liu C, Qiao C, Wen D. Dose-response associations of maternal prenatal noise exposure duration with antepartum depression status. BMC Pregnancy Childbirth 2024; 24:7. [PMID: 38166840 PMCID: PMC10759523 DOI: 10.1186/s12884-023-06200-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 12/13/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Antepartum depression has been reported to be associated with the intensity of maternal prenatal noise exposure; however, the association between noise exposure duration and the development of antepartum depression has not been established. This study aimed to determine the total and trimester-specific association of prenatal noise exposure duration with the development of antepartum depression. METHODS From May 2018 to June 2021, we recruited 2,166 pregnant women from Shengjing Hospital, northeast China. We used a standardized questionnaire to assess women's prenatal noise exposure and used the Edinburgh Postnatal Depression Scale to assess pregnant women's antepartum depression during the 1st -, 2nd -, and 3rd - trimesters. We calculated a cumulative noise exposure score ranging from 0 to 3, with a higher score reflecting higher frequency and longer duration of noise exposure during pregnancy. RESULTS Women who were exposed to noise for ≥ 15 min per day had an increased risk of antepartum depression compared with women who were not exposed to noise during pregnancy [odds ratio (OR) = 1.83, 95%CI:1.18, 2.83]. Noise exposure in a specific trimester was associated with higher risk of depression in the same trimester and subsequent trimesters. We observed increases in antepartum depression risk with increasing cumulative noise exposure scores (P for trend < 0.05 for all). Pregnant women with the highest scores had the highest risk of antepartum depression during the first (OR = 1.30, 95%CI:1.02, 1.65), second (OR = 1.75, 95%CI:1.23, 2.50) trimesters. Women with a cumulative noise exposure score of 2 had the highest risk of antepartum depression during the third trimester (OR = 1.79, 95%CI:1.14, 2.80), as well as during the whole pregnancy (OR = 1.94, 95%CI:1.14, 3.30). CONCLUSIONS Maternal prenatal noise exposure duration was positively associated with antepartum depression risk in a dose-response manner. It is necessary to develop strategies by which pregnant women can avoid excessive exposure to noise to prevent antepartum depression.
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Affiliation(s)
- Jiajin Hu
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
- Division of Chronic Disease Research across the Lifecourse, Department of Population Medicine, Harvard Medical School, Boston, MA, 02215, USA
| | - Borui Liu
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Hong Cui
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China
| | - Yilin Liu
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China
| | - Ningyu Wan
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Lin Li
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
- Department of Developmental Pediatrics, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China
| | - Lu Zheng
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Xiaochuan Wang
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Zhe Yang
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Yanan Ma
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang, 110122, China
| | - Caixia Liu
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China.
| | - Chong Qiao
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China.
| | - Deliang Wen
- Health Sciences Institute, China Medical University, Shenyang, 110122, China.
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China.
- Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, Shenyang, 110122, China.
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Gupta S, Bhandari SS, Gautam M, Grover S. Clinical practice guidelines on the environment and mental well-being. Indian J Psychiatry 2024; 66:S372-S390. [PMID: 38445269 PMCID: PMC10911325 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_792_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/01/2023] [Accepted: 12/04/2023] [Indexed: 03/07/2024] Open
Affiliation(s)
- Snehil Gupta
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Samrat Singh Bhandari
- Department of Psychiatry, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University, Gangtok, Sikkim, India
| | - Manaswi Gautam
- Department of Psychiatry, Gautam Hospital and Institute of Behavioural Sciences, Jaipur, Rajasthan, India
| | - Sandeep Grover
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India E-mail:
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Chen X, Liu Y, Liu M, Min F, Tong J, Wei W, Sun L, Zhang T, Meng Q. Prevalence and associated factors of insomnia symptoms among pregnant women in the third trimester in a moderately developing region of China. BMC Public Health 2023; 23:2319. [PMID: 37996812 PMCID: PMC10668519 DOI: 10.1186/s12889-023-17269-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 11/20/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Insomnia is the most common sleep disorder in the general population, especially among pregnant women, and it is considered a major public health issue. Not only can it cause mental and physical problems in pregnant women, but it may also affect the growth of the fetus. However, there are few reports on the prevalence and influencing factors of insomnia symptoms in third-trimester women in China. The objective of this study was to assess the prevalence of insomnia symptoms among pregnant women in the third trimester in a moderately developing region of China and to further explore the associated factors of insomnia symptoms from various aspects. METHODS A cross-sectional survey was conducted among eligible pregnant women in the third trimester from December 2022 to February 2023. Data on socio-demographic characteristics, clinical characteristics, and behavioral and psychological characteristics of pregnant women were collected through a structured questionnaire. The Chi-square test and multivariate logistics regression were applied to explore the associated factors of insomnia symptoms. RESULTS A total of 535 pregnant women in the third trimester were included in this study, and the prevalence of insomnia symptoms was 59.8%. Multivariate logistic regression analysis revealed that pregnant women who lived together with elders (OR: 0.58, 95% CI: 0.40-0.86), had low perceived stress (OR: 0.58, 95% CI: 0.35-0.97), had no threatened abortion (OR: 0.55, 95% CI: 0.32-0.93) and had good doctor-patient communication (OR: 0.66, 95% CI: 0.45-0.98) were more likely to stay away from insomnia symptoms. However, pregnant women with anxiety symptoms (OR: 2.27, 95% CI: 1.28-4.03), fear of childbirth (OR: 1.63, 95% CI: 1.11-2.40) and a high experience of COVID-19 fear (OR: 1.61, 95% CI: 1.03-2.54) tended to have insomnia symptoms. CONCLUSIONS The prevalence of insomnia symptoms in pregnant women is high in Lianyungang city in eastern China in the third trimester. Insomnia symptoms is influenced by multiple factors. There is an urgent need to develop interventions to reduce the prevalence of insomnia symptoms in the third trimester and to focus on pregnant women with risk factors for insomnia symptoms.
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Affiliation(s)
- Xu Chen
- Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China
| | - Yuan Liu
- Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China
| | - Meilin Liu
- Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China
| | - Fanli Min
- Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China
| | - Jiao Tong
- Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China
| | - Wei Wei
- Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China
| | - Lizhou Sun
- First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Teng Zhang
- Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China.
| | - Qian Meng
- Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China.
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Sun Y, Headon KS, Jiao A, Slezak JM, Avila CC, Chiu VY, Sacks DA, Molitor J, Benmarhnia T, Chen JC, Getahun D, Wu J. Association of Antepartum and Postpartum Air Pollution Exposure With Postpartum Depression in Southern California. JAMA Netw Open 2023; 6:e2338315. [PMID: 37851440 PMCID: PMC10585409 DOI: 10.1001/jamanetworkopen.2023.38315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/21/2023] [Indexed: 10/19/2023] Open
Abstract
Importance Women are especially vulnerable to mental health matters post partum because of biological, emotional, and social changes during this period. However, epidemiologic evidence of an association between air pollution exposure and postpartum depression (PPD) is limited. Objective To examine the associations between antepartum and postpartum maternal air pollution exposure and PPD. Design, Setting, and Participants This retrospective cohort study used data from Kaiser Permanente Southern California (KPSC) electronic health records and included women who had singleton live births at KPSC facilities between January 1, 2008, and December 31, 2016. Data were analyzed between January 1 and May 10, 2023. Exposures Ambient air pollution exposures were assessed based on maternal residential addresses using monthly averages of particulate matter less than or equal to 2.5 μm (PM2.5), particulate matter less than or equal to 10 μm (PM10), nitrogen dioxide (NO2), and ozone (O3) from spatial interpolation of monitoring station measurements. Constituents of PM2.5 (sulfate, nitrate, ammonium, organic matter, and black carbon) were obtained from fine-resolution geoscience-derived models based on satellite, ground-based monitor, and chemical transport modeling data. Main Outcomes and Measures Participants with an Edinburgh Postnatal Depression Scale score of 10 or higher during the 6 months after giving birth were referred to a clinical interview for further assessment and diagnosis. Ascertainment of PPD was defined using a combination of diagnostic codes and prescription medications. Results The study included 340 679 participants (mean [SD] age, 30.05 [5.81] years), with 25 674 having PPD (7.54%). Increased risks for PPD were observed to be associated with per-IQR increases in antepartum and postpartum exposures to O3 (adjusted odds ratio [AOR], 1.09; 95% CI, 1.06-1.12), PM10 (AOR, 1.02; 95% CI, 1.00-1.04), and PM2.5 (AOR, 1.02; 95% CI, 1. 00-1.03) but not with NO2; PPD risks were mainly associated with PM2.5 organic matter and black carbon. Overall, a higher risk of PPD was associated with O3 during the entire pregnancy and postpartum periods and with PM exposure during the late pregnancy and postpartum periods. Conclusions and Relevance The study findings suggest that long-term exposure to antepartum and postpartum air pollution was associated with higher PPD risks. Identifying the modifiable environmental risk factors and developing interventions are important public health issues to improve maternal mental health and alleviate the disease burden of PPD.
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Affiliation(s)
- Yi Sun
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine
| | | | - Anqi Jiao
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine
| | - Jeff M. Slezak
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Chantal C. Avila
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Vicki Y. Chiu
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - David A. Sacks
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon
| | - Tarik Benmarhnia
- Scripps Institution of Oceanography, University of California, San Diego
| | - Jiu-Chiuan Chen
- Departments of Population and Public Health Sciences and Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Darios Getahun
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine
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9
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Münzel T, Treede H, Hahad O, Daiber A. Too Loud to Handle? Transportation Noise and Cardiovascular Disease. Can J Cardiol 2023; 39:1204-1218. [PMID: 36858080 DOI: 10.1016/j.cjca.2023.02.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/02/2023] Open
Abstract
The World Health Organization reported that more than 1.6 million healthy life-years are lost yearly from traffic-related noise in western Europe. In addition, the number of studies on health side effects in response to traffic noise is steadily growing, mainly cardiovascular disease, such as acute and chronic ischemic heart disease, heart failure, arrhythmia, and stroke. Pathophysiologically nighttime noise has been shown to cause sleep disturbances, including too short sleep periods and frequent interruption of sleep leading to an increase in the levels of circulating stress hormones and subsequently to a significant increase in the production of reactive oxygen species (oxidative stress) and inflammation in the vasculature and the brain. The consequence is arterial hypertension and vascular (endothelial) dysfunction, which might increase the risk of cardiovascular disease. With the present review, we give an overview of the "so-called" nonauditory cardiovascular health effects of noise, which have been proposed to be responsible for the future development of cardiovascular disease. We present epidemiological evidence but also evidence provided by translational human and experimental noise studies. Finally, we discuss manoeuvres to mitigate noise effectively.
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Affiliation(s)
- Thomas Münzel
- Department of Cardiology, University Medical Center Mainz, Mainz, Germany.
| | - Hendrik Treede
- Department of Cardiovascular Surgery, University Medical Center Mainz, Mainz, Germany
| | - Omar Hahad
- Department of Cardiology, University Medical Center Mainz, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology, University Medical Center Mainz, Mainz, Germany
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10
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Roberts M, Colley K, Currie M, Eastwood A, Li KH, Avery LM, Beevers LC, Braithwaite I, Dallimer M, Davies ZG, Fisher HL, Gidlow CJ, Memon A, Mudway IS, Naylor LA, Reis S, Smith P, Stansfeld SA, Wilkie S, Irvine KN. The Contribution of Environmental Science to Mental Health Research: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5278. [PMID: 37047894 PMCID: PMC10094550 DOI: 10.3390/ijerph20075278] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 02/22/2023] [Accepted: 02/28/2023] [Indexed: 06/19/2023]
Abstract
Mental health is influenced by multiple complex and interacting genetic, psychological, social, and environmental factors. As such, developing state-of-the-art mental health knowledge requires collaboration across academic disciplines, including environmental science. To assess the current contribution of environmental science to this field, a scoping review of the literature on environmental influences on mental health (including conditions of cognitive development and decline) was conducted. The review protocol was developed in consultation with experts working across mental health and environmental science. The scoping review included 202 English-language papers, published between 2010 and 2020 (prior to the COVID-19 pandemic), on environmental themes that had not already been the subject of recent systematic reviews; 26 reviews on climate change, flooding, air pollution, and urban green space were additionally considered. Studies largely focused on populations in the USA, China, or Europe and involved limited environmental science input. Environmental science research methods are primarily focused on quantitative approaches utilising secondary datasets or field data. Mental health measurement was dominated by the use of self-report psychometric scales. Measures of environmental states or exposures were often lacking in specificity (e.g., limited to the presence or absence of an environmental state). Based on the scoping review findings and our synthesis of the recent reviews, a research agenda for environmental science's future contribution to mental health scholarship is set out. This includes recommendations to expand the geographical scope and broaden the representation of different environmental science areas, improve measurement of environmental exposure, prioritise experimental and longitudinal research designs, and giving greater consideration to variation between and within communities and the mediating pathways by which environment influences mental health. There is also considerable opportunity to increase interdisciplinarity within the field via the integration of conceptual models, the inclusion of mixed methods and qualitative approaches, as well as further consideration of the socio-political context and the environmental states that can help support good mental health. The findings were used to propose a conceptual model to parse contributions and connections between environmental science and mental health to inform future studies.
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Affiliation(s)
- Michaela Roberts
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Kathryn Colley
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Margaret Currie
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Antonia Eastwood
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Kuang-Heng Li
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Lisa M. Avery
- Environmental and Biochemical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Lindsay C. Beevers
- Institute of Infrastructure and Environment, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Isobel Braithwaite
- UCL Institute of Health Informatics, 222 Euston Road, London NW1 2DA, UK
| | - Martin Dallimer
- Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK
| | - Zoe G. Davies
- Durrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury, Kent CT2 7NR, UK
| | - Helen L. Fisher
- King’s College London, Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, 16 De Crespigny Park, London SE5 8AF, UK
- Economic & Social Research Council (ESRC) Centre for Society and Mental Health, King’s College London, 44-46 Aldwych, London WC2B 4LL, UK
| | - Christopher J. Gidlow
- Centre for Health and Development (CHAD), Staffordshire University, Leek Road, Stoke-on-Trent ST4 2DF, UK
| | - Anjum Memon
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton BN1 9PH, UK
| | - Ian S. Mudway
- MRC Centre for Environment and Health, Imperial College London, White City Campus, London W12 0BZ, UK
- NIHR Health Protection Research Units in Environmental Exposures and Health, and Chemical and Radiation Threats and Hazards, Imperial College London, White City Campus, London W12 0BZ, UK
| | - Larissa A. Naylor
- School of Geographical & Earth Sciences, East Quadrangle, University of Glasgow, Glasgow G12 8QQ, UK
| | - Stefan Reis
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik EH26 0QB, UK
- European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Truro, Cornwall TR1 3HD, UK
| | - Pete Smith
- Institute of Biological and Environmental Sciences, University of Aberdeen, 23 St Machar Drive, Aberdeen AB24 3UU, UK
| | - Stephen A. Stansfeld
- Centre for Psychiatry, Barts and the London School of Medicine, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Stephanie Wilkie
- School of Psychology, Murray Library, City Campus, University of Sunderland, Sunderland SR1 3SD, UK
| | - Katherine N. Irvine
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
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11
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Abbasi OR, Ebrahimian Ghajari Y, Alesheikh AA. A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran. GEOSPATIAL HEALTH 2022; 17. [PMID: 36468595 DOI: 10.4081/gh.2022.1114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 09/04/2022] [Indexed: 06/17/2023]
Abstract
Noise pollution is one of the non-natural hazards in cities. Long-term exposure to this kind of pollution has severe destructive effects on human health, including mental illness, stress, anxiety, hormonal disorders, hypertension and therefore also cardiovascular disease. One of the primary sources of noise pollution in cities is transportation. The COVID-19 outbreak caused a significant change in the pattern of transportation in cities of Iran. In this article, we studied the spatial and temporal patterns of noise pollution levels in Tehran before and after the outbreak of this disease. An overall analysis from one year before until one year after the outbreak, which showed that noise pollution in residential areas of Tehran had increased by 7% over this period. In contrast, it had diminished by about 2% in the same period in the city centre and around Tehran's Grand Bazaar. Apart from these changes, we observed no specific pattern in other city areas. However, a monthly data analysis based on the t-test, the results show that the early months of the virus outbreak were associated with a significant pollution reduction. However, this reduction in noise pollution was not sustained; instead a gradual increase in pollution occurred over the following months. In the months towards the end of the period analysed, noise pollution increased to a level even higher than before the outbreak. This increase can be attributed to the gradual reopening of businesses or people ignoring the prevailing conditions.
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Affiliation(s)
- Omid Reza Abbasi
- Department of GIS, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran.
| | | | - Ali Asghar Alesheikh
- Department of GIS, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran.
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12
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Tortorella A, Menculini G, Moretti P, Attademo L, Balducci PM, Bernardini F, Cirimbilli F, Chieppa AG, Ghiandai N, Erfurth A. New determinants of mental health: the role of noise pollution. A narrative review. Int Rev Psychiatry 2022; 34:783-796. [PMID: 36786115 DOI: 10.1080/09540261.2022.2095200] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Urbanisation processes and anthropogenic actions led to a significant increase in pollution levels, with relevant consequences on global health. In particular, noise pollution demonstrated an association with cardiovascular, metabolic, and respiratory diseases. Furthermore, increasing evidence underlined the possible role of air and noise pollution in the development of psychiatric disorders. In this narrative review, evidence concerning the relationship between noise pollution and the emergence of psychiatric symptoms or psychiatric disorders is summarised. After the literature search process was completed, 40 papers were included in the present review. The exposure to road-, rail-, and air- traffic represented a risk factor for the emergence of affective disorders. This could also be mediated by the occurrence of circadian rhythms disturbances or by noise annoyance and noise sensitivity, both influencing psychological well-being and health-related quality of life. Fewer studies concentrated on special populations, particularly pregnant women and children, for whom noise pollution was confirmed as a risk factor for psychopathology. The better clarification of the complex interaction between noise pollution and mental health may help to identify subjects at risk and targeting specific prevention and intervention strategies in the urban environment.
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Affiliation(s)
| | | | | | - Luigi Attademo
- SPDC Potenza, Department of Mental Health, ASP Basilicata, Italian National Health Service, Potenza, Italy.,Planetary Health Lab, Old Medical School, University of Edinburgh, Edinburgh, UK
| | - Pierfrancesco Maria Balducci
- Department of Psychiatry, University of Perugia, Perugia, Italy.,Department of Mental Health, CSM Terni, Terni, Italy
| | - Francesco Bernardini
- Planetary Health Lab, Old Medical School, University of Edinburgh, Edinburgh, UK.,SPDC Pordenone, Department of Mental Health, AsFO Friuli Occidentale, Italian National Health Service, Pordenone, Italy
| | | | | | - Nicola Ghiandai
- Department of Psychiatry, University of Perugia, Perugia, Italy
| | - Andreas Erfurth
- 1st Department of Psychiatry and Psychotherapeutic Medicine, Wiener Gesundheitsverbund Klinik Hietzing, Vienna, Austria
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13
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Jigeer G, Tao W, Zhu Q, Xu X, Zhao Y, Kan H, Cai J, Xu Z. Association of residential noise exposure with maternal anxiety and depression in late pregnancy. ENVIRONMENT INTERNATIONAL 2022; 168:107473. [PMID: 35994797 DOI: 10.1016/j.envint.2022.107473] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/05/2022] [Accepted: 08/11/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Noise is one of the most important environmental risk factors that adversely affects human health. Residential noise exposure has been associated with increased risk of anxiety and depression in the general population. However, limited study has been conducted in pregnant women. OBJECTIVE To examine the associations of residential noise exposure with prenatal anxiety and depression. METHODS Self-Rating Anxiety Scale (SAS) and Center for Epidemiological Survey Scale (CES-D) were used to assess the status of prenatal anxiety and depression for 2,018 pregnant women in Shanghai, China. Residential noise exposure was represented by a land use regression model. Multivariate logistic regression model was used to estimate the associations of noise exposure with prenatal anxiety and depression. RESULTS The prevalence rates of prenatal anxiety and depression were 7.5 % and 8.1 %, respectively. The mean (±standard deviation) residential noise exposure during the whole pregnancy was 60.69 (±3.31) dB (A). Higher residential noise exposure was associated with increased odds of both prenatal anxiety and depression. Compared with low level of noise exposure group (<65 dB(A)), the odds of prenatal anxiety and depression increased 69 % (OR = 1.69, 95 % CI, 1.01-2.82) and 71 % (OR = 1.71, 95 % CI, 1.05-2.80) in higher noise exposure group (≥65 dB(A)), respectively. Stratified analyses showed that the associations were stronger among pregnant women with lower socioeconomic status. CONCLUSION Residential noise exposure during pregnancy might be a risk factor for prenatal anxiety and depression.
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Affiliation(s)
- Guliyeerke Jigeer
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Weimin Tao
- Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qingqing Zhu
- The Maternal and Child Healthcare Institute of Songjiang District, Shanghai, China
| | - Xueyi Xu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yan Zhao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
| | - Zhendong Xu
- Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
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14
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Noise Induced Depression-Like Behavior, Neuroinflammation and Synaptic Plasticity Impairments: The Protective Effects of Luteolin. Neurochem Res 2022; 47:3318-3330. [PMID: 35978229 DOI: 10.1007/s11064-022-03683-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 06/23/2022] [Accepted: 07/11/2022] [Indexed: 10/15/2022]
Abstract
Noise is a kind of sound that causes agitation and harms human health. Studies have shown that noise can lead to neuroinflammation, damage to synaptic plasticity and altered levels of neurotransmitters that may result in depression. The present study demonstrated that luteolin exerted antidepressant-like effects by improving neuroinflammation in a mouse model of noise-induced depression. Luteolin significantly alleviated noise-induced depression-like behavior. Notably, luteolin treatment not only remarkably ameliorated noise-induced inflammation in the hippocampus and prefrontal cortex, but also increased synapsin. Furthermore, luteolin treatment significantly increased the contents of serum 5-hydroxytryptamine and norepinephrine in noise-induced mice. In sum, luteolin exerts antidepressant effects indepression-like mice caused by noise, which can serve as a potential agent for the treatment of chronic noise-induced depression.
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15
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Hahad O, Bayo Jimenez MT, Kuntic M, Frenis K, Steven S, Daiber A, Münzel T. Cerebral consequences of environmental noise exposure. ENVIRONMENT INTERNATIONAL 2022; 165:107306. [PMID: 35635962 DOI: 10.1016/j.envint.2022.107306] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/09/2022] [Accepted: 05/15/2022] [Indexed: 06/15/2023]
Abstract
The importance of noise exposure as a major environmental determinant of public health is being increasingly recognized. While in recent years a large body evidence has emerged linking environmental noise exposure mainly to cardiovascular disease, much less is known concerning the adverse health effects of noise on the brain and associated neuropsychiatric outcomes. Despite being a relatively new area of investigation, indeed, mounting research and conclusive evidence demonstrate that exposure to noise, primarily from traffic sources, may affect the central nervous system and brain, thereby contributing to an increased risk of neuropsychiatric disorders such as stroke, dementia and cognitive decline, neurodevelopmental disorders, depression, and anxiety disorder. On a mechanistic level, a significant number of studies suggest the involvement of reactive oxygen species/oxidative stress and inflammatory pathways, among others, to fundamentally drive the adverse brain health effects of noise exposure. This in-depth review on the cerebral consequences of environmental noise exposure aims to contribute to the associated research needs by evaluating current findings from human and animal studies. From a public health perspective, these findings may also help to reinforce efforts promoting adequate mitigation strategies and preventive measures to lower the societal consequences of unhealthy environments.
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Affiliation(s)
- Omar Hahad
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany; Leibniz Institute for Resilience Research (LIR), Mainz, Germany.
| | - Maria Teresa Bayo Jimenez
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Marin Kuntic
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Katie Frenis
- Boston Children's Hospital and Harvard Medical School, Department of Hematology/Oncology, Boston, MA, USA
| | - Sebastian Steven
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
| | - Thomas Münzel
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
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16
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Hao G, Zuo L, Xiong P, Chen L, Liang X, Jing C. Associations of PM2.5 and road traffic noise with mental health: Evidence from UK Biobank. ENVIRONMENTAL RESEARCH 2022; 207:112221. [PMID: 34656633 DOI: 10.1016/j.envres.2021.112221] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 10/06/2021] [Accepted: 10/13/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND The associations of atmospheric particulate matter with diameters of 2.5 μm or less (PM2.5) and road traffic noise with mental disorders in men and women are not well studied. OBJECTIVES We aim to examine the cross-sectional associations of PM2.5 and road traffic noise with mental disorders in men and women. METHODS The baseline data of the UK Biobank study (2006-2010) were used. Mental disorders including symptoms of nerves, anxiety, tension or depression (NATD), major depression, and bipolar disorder were assessed by validated questions. Verified models were used to estimate PM2.5 and road traffic noise. RESULTS A total of 334,986 participants with measurements of NATD and 90,706 participants with measurements of major depression and bipolar disorder were included in the analysis. After adjusting for covariates, the odds for the risk of NATD symptoms increased by 2.31 (95% CI: 2.15-2.50) times per 10 μg/m3 increase in PM2.5. The odds for the risk of major depression and bipolar disorder increased by 2.26 and 4.99 times per 10 μg/m3 increase in PM2.5. On the other hand, higher road traffic noise exposure was significantly associated with a higher risk of NATD symptoms (Decile 6-8 (54.9-57.8 dB), OR: 1.03, 95% CI: 1.01-1.06; Decile 9-10 (≥57.8 dB), OR: 1.04, 95% CI: 1.01-1.07) and bipolar disorder (Decile 2-5 (52.1-54.9 dB), OR: 1.26, 95% CI: 1.00-1.59; Decile 6-8 (54.9-57.8 dB), OR: 1.30, 95% CI: 1.02-1.65; Decile 9-10 (≥57.8 dB), OR: 1.54, 95% CI: 1.21-1.97). Interestingly, a negative association was observed between moderate road traffic noise and major depression (Decile 2-5 (52.1-54.9 dB), OR: 0.95, 95% CI: 0.90-1.00). Interactions between PM2.5 exposure with age, gender, and sleeplessness for NATD symptoms were observed (P < 0.05), while interactions between road traffic noise exposure with age and gender were observed (P < 0.05). CONCLUSIONS We found a positive association between PM2.5 and mental disorders. Meanwhile, we found a positive association of road traffic noise with NATD symptoms and bipolar disorder and a negative association of moderate road traffic noise with major depression. Also, the effect modifications of these associations by age, gender, or sleeplessness may exist.
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Affiliation(s)
- Guang Hao
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, China.
| | - Lei Zuo
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Peng Xiong
- Division of Medical Psychology and Behavioral Sciences, Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Li Chen
- Georgia Prevention Institute, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Xiaohua Liang
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, China International Science and Technology Cooperation Center of Child Development and Critical Disorders, Chongqing, China.
| | - Chunxia Jing
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, China.
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17
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Veber T, Tamm T, Ründva M, Kriit HK, Pyko A, Orru H. Health impact assessment of transportation noise in two Estonian cities. ENVIRONMENTAL RESEARCH 2022; 204:112319. [PMID: 34740439 DOI: 10.1016/j.envres.2021.112319] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 10/27/2021] [Accepted: 10/29/2021] [Indexed: 06/13/2023]
Abstract
Transportation noise is a growing public health concern worldwide, especially in urban areas, causing annoyance, sleep disturbance, cardiovascular diseases and other health effects. Recently, European Commission (EC) has developed a mutual methodology for assessing health impacts of transportation noise in European Union using strategic noise mapping. Applying this methodology, our aim was to quantify the health effects of road, rail and aircraft noise in two Estonian cities, Tallinn and Tartu. We also aimed to assess sensitivity of this methodology, while implementing lower threshold values and employing additional health outcomes. The proportion of highly annoyed residents due to road traffic noise was 11.6% in Tallinn, and 9.2% in Tartu; around 2.5% residents in both cities could have high sleeping disturbances. As exposure to railway and aircraft noise was relatively low in both cities, people with high annoyance and high sleep disturbance caused by railway and aircraft noise was below 1%. Ischemic heart disease (IHD) cases attributable to road traffic noise was estimated to be 122.6 in Tallinn and 21.5 in Tartu. Altogether transportation noise was estimated to cause 1807 disability adjusted life years (DALYs) in Tallinn and 370 DALYs in Tartu. The health costs were calculated as €126.5 and €25.9 million annually, respectively in the two cities. When we included higher number of health outcomes (stroke incidence, IHD deaths) and lowered exposure threshold by 5 dB, the annual burden of disease was doubled. As the latest epidemiological studies showed transportation noise having larger number of effects on lower noise levels, the results with the currently applied European Commission health impact assessment (HIA) methodology were rather conservative. Despite of uncertainties associated to applied methodology, transportation noise, especially road traffic noise, is an important environmental risk factor, that leads to considerable loss of healthy life years and causes large health costs in urban areas.
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Affiliation(s)
- Triin Veber
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
| | - Tanel Tamm
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | | | - Hedi Katre Kriit
- Sustainable Health, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | - Anderi Pyko
- Center for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hans Orru
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia; Sustainable Health, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
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18
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Farooqi ZUR, Ahmad I, Zeeshan N, Ilić P, Imran M, Saeed MF. Urban noise assessment and its nonauditory health effects on the residents of Chiniot and Jhang, Punjab, Pakistan. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:54909-54921. [PMID: 34018118 DOI: 10.1007/s11356-021-14340-4] [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: 01/27/2021] [Accepted: 05/04/2021] [Indexed: 06/12/2023]
Abstract
Elevated noise level is an emerging global problem. Therefore, the present work is conducted that can improve, increase, and integrate the already known issue in literature with new information coming from an emerging country such as Pakistan. The objectives of this study were (i) to assess the urban noise levels and traffic density of Chiniot and Jhang and (ii) to determine nonauditory health effects of noise levels on the residents of both cities. Noise levels were examined from 181 locations (103 from Jhang and 78 from Chiniot) and categorized into hospitals, educational, religious and recreational, residential, industrial areas, and traffic intersections. A-weighted noise level measurements were taken using an integrated sound level meter which recorded short-term road traffic noise continuously for 15 min at each location (LAeq15). The urban noise data showed 82% of the sites in Jhang (LAmax = 103 dB) and 95% in Chiniot (LAmax = 120 dB) exceeded the noise limits set by the National Environment Quality Standard of Pakistan (NEQS-Pak) and World Health Organization (WHO). Moreover, higher intensity of noise levels (LAeq15 ≥ 100 dB) was recorded in Chiniot (17 sites) than in Jhang (1 site). Regression analysis showed a relatively strong relationship of traffic density with noise at Chiniot (R2 = 0.48) compared to Jhang (R2 = 0.31). However, spatial variability of noise with traffic density was observed in both cities. Survey study revealed that all the respondents in Jhang and Chiniot suffered from many noise-related health problems such as annoyance (53 and 51%), depression (45 and 47%), dizziness (61 and 65%), headache (67 and 64%), hypertension (71 and 56%), hearing loss (53 and 56%), physiological stress (65 and 65%), sleeplessness (81 and 84%), and tinnitus (70 and 62%) due to noise, respectively. We conclude that noise levels are higher in Chiniot primarily due to high road traffic and secondarily due to high population density. It is recommended that vehicle maintenance and family and urban planning could be effective measures to reduce urban noise levels.
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Affiliation(s)
- Zia Ur Rahman Farooqi
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Pakistan
| | - Iftikhar Ahmad
- Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan.
| | - Nukshab Zeeshan
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Pakistan
| | - Predrag Ilić
- PSRI Institute for Protection and Ecology of the Republic of Srpska, Banja Luka, Vidovdanska 43, 78000, Banja Luka, Bosnia and Herzegovina
| | - Muhammad Imran
- Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan
| | - Muhammad Farhan Saeed
- Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan
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Zhang Y, Tayarani M, Wang S, Liu Y, Sharma M, Joly R, RoyChoudhury A, Hermann A, Gao OH, Pathak J. Identifying urban built environment factors in pregnancy care and maternal mental health outcomes. BMC Pregnancy Childbirth 2021; 21:599. [PMID: 34481472 PMCID: PMC8417675 DOI: 10.1186/s12884-021-04056-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 08/12/2021] [Indexed: 11/10/2022] Open
Abstract
Backgrounds Risk factors related to the built environment have been associated with women’s mental health and preventive care. This study sought to identify built environment factors that are associated with variations in prenatal care and subsequent pregnancy-related outcomes in an urban setting. Methods In a retrospective observational study, we characterized the types and frequency of prenatal care events that are associated with the various built environment factors of the patients’ residing neighborhoods. In comparison to women living in higher-quality built environments, we hypothesize that women who reside in lower-quality built environments experience different patterns of clinical events that may increase the risk for adverse outcomes. Using machine learning, we performed pattern detection to characterize the variability in prenatal care concerning encounter types, clinical problems, and medication prescriptions. Structural equation modeling was used to test the associations among built environment, prenatal care variation, and pregnancy outcome. The main outcome is postpartum depression (PPD) diagnosis within 1 year following childbirth. The exposures were the quality of the built environment in the patients’ residing neighborhoods. Electronic health records (EHR) data of pregnant women (n = 8,949) who had live delivery at an urban academic medical center from 2015 to 2017 were included in the study. Results We discovered prenatal care patterns that were summarized into three common types. Women who experienced the prenatal care pattern with the highest rates of PPD were more likely to reside in neighborhoods with homogeneous land use, lower walkability, lower air pollutant concentration, and lower retail floor ratios after adjusting for age, neighborhood average education level, marital status, and income inequality. Conclusions In an urban setting, multi-purpose and walkable communities were found to be associated with a lower risk of PPD. Findings may inform urban design policies and provide awareness for care providers on the association of patients’ residing neighborhoods and healthy pregnancy. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-021-04056-1.
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Affiliation(s)
- Yiye Zhang
- Department of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA. .,Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Mohammad Tayarani
- School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA
| | | | - Yifan Liu
- Department of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA
| | - Mohit Sharma
- Department of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA
| | - Rochelle Joly
- Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, USA
| | - Arindam RoyChoudhury
- Department of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA
| | - Alison Hermann
- Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - Oliver H Gao
- School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA
| | - Jyotishman Pathak
- Department of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA.,Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
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Ruyak SL, Kivlighan KT. Perinatal Behavioral Health, the COVID-19 Pandemic, and a Social Determinants of Health Framework. J Obstet Gynecol Neonatal Nurs 2021; 50:525-538. [PMID: 34146480 PMCID: PMC8256336 DOI: 10.1016/j.jogn.2021.04.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/01/2021] [Indexed: 12/01/2022] Open
Abstract
The United States has greater prevalence of mental illness and substance use disorders than other developed countries, and pregnant women are disproportionately affected. The current global COVID-19 pandemic, through the exacerbation of psychological distress, unevenly affects the vulnerable population of pregnant women. Social distancing measures and widespread closures of businesses secondary to COVID-19 are likely to continue for the foreseeable future and to further magnify psychosocial risk factors. We propose the use of a social determinants of health framework to integrate behavioral health considerations into prenatal care and to guide the implementation of universal and comprehensive psychosocial assessment in pregnancy. As the most numerous and well-trusted health care professionals, nurses are ideally positioned to influence program and policy decisions at the community and regional levels and to advocate for the full integration of psychosocial screening and behavioral health into prenatal and postpartum care as core components.
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Abstract
Epidemiological studies have found that transportation noise increases the risk of cardiovascular morbidity and mortality, with high-quality evidence for ischaemic heart disease. According to the WHO, ≥1.6 million healthy life-years are lost annually from traffic-related noise in Western Europe. Traffic noise at night causes fragmentation and shortening of sleep, elevation of stress hormone levels, and increased oxidative stress in the vasculature and the brain. These factors can promote vascular dysfunction, inflammation and hypertension, thereby elevating the risk of cardiovascular disease. In this Review, we focus on the indirect, non-auditory cardiovascular health effects of transportation noise. We provide an updated overview of epidemiological research on the effects of transportation noise on cardiovascular risk factors and disease, discuss the mechanistic insights from the latest clinical and experimental studies, and propose new risk markers to address noise-induced cardiovascular effects in the general population. We also explain, in detail, the potential effects of noise on alterations of gene networks, epigenetic pathways, gut microbiota, circadian rhythm, signal transduction along the neuronal-cardiovascular axis, oxidative stress, inflammation and metabolism. Lastly, we describe current and future noise-mitigation strategies and evaluate the status of the existing evidence on noise as a cardiovascular risk factor.
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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; 144:106014. [PMID: 32763645 DOI: 10.1016/j.envint.2020.106014] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 07/22/2020] [Accepted: 07/26/2020] [Indexed: 06/11/2023]
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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Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17176175. [PMID: 32854453 PMCID: PMC7503511 DOI: 10.3390/ijerph17176175] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/19/2020] [Accepted: 08/20/2020] [Indexed: 01/03/2023]
Abstract
Recent evidence suggests that traffic noise may negatively impact mental health. However, existing systematic reviews provide an incomplete overview of the effects of all traffic noise sources on mental health. We conducted a systematic literature search and summarized the evidence for road, railway, or aircraft noise-related risks of depression, anxiety, cognitive decline, and dementia among adults. We included 31 studies (26 on depression and/or anxiety disorders, 5 on dementia). The meta-analysis of five aircraft noise studies found that depression risk increased significantly by 12% per 10 dB LDEN (Effect Size = 1.12, 95% CI 1.02–1.23). The meta-analyses of road (11 studies) and railway traffic noise (3 studies) indicated 2–3% (not statistically significant) increases in depression risk per 10 dB LDEN. Results for road traffic noise related anxiety were similar. We did not find enough studies to meta-analyze anxiety and railway or aircraft noise, and dementia/ cognitive impairment and any traffic noise. In conclusion, aircraft noise exposure increases the risk for depression. Otherwise, we did not detect statistically significant risk increases due to road and railway traffic noise or for anxiety. More research on the association of cognitive disorders and traffic noise is required. Public policies to reduce environmental traffic noise might not only increase wellness (by reducing noise-induced annoyance), but might contribute to the prevention of depression and anxiety disorders.
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Environmental, Health and Sociodemographic Determinants Related to Common Mental Disorders in Adults: A Spanish Country-Wide Population-Based Study (2006-2017). J Clin Med 2020; 9:jcm9072199. [PMID: 32664638 PMCID: PMC7408656 DOI: 10.3390/jcm9072199] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/08/2020] [Accepted: 07/09/2020] [Indexed: 11/17/2022] Open
Abstract
Common mental disorders (CMD) represent a serious, growing public health concern, especially in women. The aims of this study were to report the prevalence of CMD among the adult population in Spain, to analyze the time trends from 2006 to 2017 and to explore the associations between CMD and gender, in relation to the perceived environmental and sociodemographic problems and clinical factors. A nationwide cross-sectional study was conducted including 48,505 participants aged 16 to 64 years old who had participated in the Spanish National Health Surveys in 2006, 2011/2012 and 2017. A logistic regression analysis was performed to identify the variables associated with CMD by gender. The prevalence of CMD was 20.4% in 2006, 20.8% in 2011/2012 and 16.9% in 2017 (p = 0.36). In women, the probability of having a CMD was higher in widowed or separated/divorced compared with single individuals and as the perception of distressing noise levels from outside the home increased. The probability of CMD was lower as the level of education increased in men. Foreigners and those with limitations due to health problems, chronic conditions and worse perceived health were more likely to suffer from a CMD in both women and men.
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25
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Clark C, Crumpler C, Notley H. Evidence for Environmental Noise Effects on Health for the United Kingdom Policy Context: A Systematic Review of the Effects of Environmental Noise on Mental Health, Wellbeing, Quality of Life, Cancer, Dementia, Birth, Reproductive Outcomes, and Cognition. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E393. [PMID: 31936110 PMCID: PMC7013411 DOI: 10.3390/ijerph17020393] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 12/23/2019] [Accepted: 12/24/2019] [Indexed: 12/12/2022]
Abstract
This systematic review commissioned by the UK Department for the Environment, Food and Rural Affairs (Defra), considers how the evidence base for noise effects on health has changed following the recent reviews undertaken for the WHO Environmental Noise Guidelines. This systematic review assesses the quality of the evidence for environmental noise effects on mental health, wellbeing, and quality of life; birth and reproductive outcomes; and cognition for papers published since the WHO reviews (mid-2015 to March 2019), as well as for cancer and dementia (January 2014 to March 2019). Using the GRADE methodology (Grading of Recommendations Assessment, Development and Evaluation) most evidence was rated as low quality as opposed to very low quality in the previous reviews. There is now low-quality evidence for a harmful effect of road traffic noise on medication use and interview measures of depression and anxiety and low quality evidence for a harmful effect of road traffic noise, aircraft noise, and railway noise on some cancer outcomes. Many other conclusions from the WHO evidence reviews remain unchanged. The conclusions remain limited by the low number of studies for many outcomes. The quantification of health effects for other noise sources including wind turbine, neighbour, industrial, and combined noise remains a research priority.
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Affiliation(s)
- Charlotte Clark
- Acoustics, Ove Arup & Partners, 13 Fitzroy Street, London W1T 4BQ, UK
| | - Clare Crumpler
- Acoustics, Ove Arup & Partners, 13 Fitzroy Street, London W1T 4BQ, UK
| | - Hilary Notley
- UK Department for the Environment, Food and Rural Affairs (Defra), Ground Floor, Seacole Building, 2 Marsham Street, London SW1P 4DF, UK;
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Dzhambov AM, Lercher P. Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E4134. [PMID: 31717834 PMCID: PMC6862094 DOI: 10.3390/ijerph16214134] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 10/24/2019] [Accepted: 10/24/2019] [Indexed: 02/07/2023]
Abstract
Unlike other World Health Organization evidence reviews, the systematic review on mental disorders could not provide a quantitative estimate of the effect of environmental noise. With that in mind, we aimed to update it with additional studies published through to 18 August 2019 in order to allow for a formal meta-analysis of the association of residential road traffic noise with anxiety and depression. The quality effects and random effects estimators were used for meta-analysis and the robustness of findings was tested in several sensitivity analyses. Ten studies were included in the qualitative synthesis, from which we extracted 15 estimates for depression (n = 1,201,168) and five for anxiety (n = 372,079). Almost all studies were cross-sectional and the risk of bias in them was generally high. We found 4% (95% CI: -3%, 11%) higher odds of depression and 12% (95% CI: -4%, 30%) of anxiety associated with a 10 dB(A) increase in day-evening-night noise level (Lden). Both models suffered from moderate heterogeneity (55% and 54%), but there was evidence of publication bias only in the depression model. These findings were robust with no evidence of study-level moderators. A sensitivity analysis on an alternative set of categorically-reported estimates supported a linear relationship between Lden and depression. Taking into account an overall quality assessment for the included studies, we conclude that there is evidence of "very low" quality that increasing exposure to road traffic noise may be associated with depression and anxiety.
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Affiliation(s)
- Angel M. Dzhambov
- Department of Hygiene and Ecomedicine, Faculty of Public Health, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria
| | - Peter Lercher
- Institute for Highway Engineering and Transport Planning, Graz University of Technology, 8010 Graz, Austria or
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Collins TW, Grineski SE, Nadybal S. Social disparities in exposure to noise at public schools in the contiguous United States. ENVIRONMENTAL RESEARCH 2019; 175:257-265. [PMID: 31146097 DOI: 10.1016/j.envres.2019.05.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 05/14/2019] [Accepted: 05/15/2019] [Indexed: 06/09/2023]
Abstract
Children are vulnerable to environmental hazards and spend significant portions of their days at school. However, just one national-level study has examined school-level environmental inequalities (in air pollution exposures), and none have examined disparate exposures to noise pollution, even though noise impacts children's health and development. We integrated data from 2014-2015 on the locations and socio-demographics of each public school in the contiguous US (n=94,432) with road and aviation transportation noise estimates. Using bivariate and multivariate statistics, we tested for disparities in road and aviation noise exposure across schools. Among the 49,697,890 children attending contiguous US public schools, we found that those attending schools most highly exposed to road noise or aviation noise were significantly more likely to be eligible for free/reduced price meals (economically deprived), and to be Hispanic, black, or Asian/Pacific Islander (API). They were less likely to be white or of another race. In multivariate generalized estimating equations (GEEs) controlling for school district effects, we found that schools with greater proportions of Hispanic, black or API students, schools with higher enrollment, and schools serving the youngest students had significantly more road noise and greater odds of aviation noise exposure. In the GEEs, a higher proportion of economically-deprived students in schools was associated with greater road noise, but not aviation noise. Overall, our analyses indicate that America's racial/ethnic minority children bear the brunt of transportation noise exposures at school, which may unequally impact their academic performance, health, and future potential.
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Affiliation(s)
- Timothy W Collins
- Department of Geography, University of Utah; 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, United States.
| | - Sara E Grineski
- Department of Sociology, University of Utah; 380 S 1530 E, Rm. 301, Salt Lake City, UT, 84112, United States
| | - Shawna Nadybal
- Department of Geography, University of Utah; 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, United States
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