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Lyons S, Nolan A, Carthy P, Griffin M, O'Connell B. Long-term exposure to PM 2.5 air pollution and mental health: a retrospective cohort study in Ireland. Environ Health 2024; 23:54. [PMID: 38858702 PMCID: PMC11163701 DOI: 10.1186/s12940-024-01093-z] [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: 07/13/2023] [Accepted: 05/29/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Mental illness is the leading cause of years lived with disability, and the global disease burden of mental ill-health has increased substantially in the last number of decades. There is now increasing evidence that environmental conditions, and in particular poor air quality, may be associated with mental health and wellbeing. METHODS This cross-sectional analysis uses data on mental health and wellbeing from The Irish Longitudinal Study on Ageing (TILDA), a nationally representative survey of the population aged 50+ in Ireland. Annual average PM2.5 concentrations at respondents' residential addresses over the period 1998-2014 are used to measure long-term exposure to ambient PM2.5. RESULTS We find evidence of associations between long-term exposure to ambient PM2.5 and depression and anxiety. The measured associations are strong, and are comparable with effect sizes for variables such as sex. Effects are also evident at relatively low concentrations by international standards. However, we find no evidence of associations between long-term ambient particulate pollution and other indicators of mental health and well-being such as stress, worry and quality of life. CONCLUSIONS The measured associations are strong, particularly considering the relatively low PM2.5 concentrations prevailing in Ireland compared to many other countries. While it is estimated that over 90 per cent of the world's population lives in areas with annual mean PM2.5 concentrations greater than 10 μg/m3, these results contribute to the increasing evidence that suggests that harmful effects can be detected at even low levels of air pollution.
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Affiliation(s)
- Seán Lyons
- School of Economics, University College Dublin, Dublin, Ireland
- Department of Economics, Trinity College Dublin, Dublin, Ireland
| | - Anne Nolan
- Department of Economics, Trinity College Dublin, Dublin, Ireland.
- Economic and Social Research Institute, Whitaker Square, Sir John Rogerson's Quay, Dublin 2, D02 K138, Ireland.
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland.
| | - Philip Carthy
- Economic and Social Research Institute, Whitaker Square, Sir John Rogerson's Quay, Dublin 2, D02 K138, Ireland
| | - Míde Griffin
- Department of Economics, Trinity College Dublin, Dublin, Ireland
| | - Brian O'Connell
- Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
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Cheng J, Sun J, Niu R, Wang X, Hu G, Li F, Gu K, Wu H, Pu Y, Shen F, Hu H, Shen Z. Chronic exposure to PM 10 induces anxiety-like behavior via exacerbating hippocampal oxidative stress. Free Radic Biol Med 2024; 216:12-22. [PMID: 38458393 DOI: 10.1016/j.freeradbiomed.2024.02.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 03/10/2024]
Abstract
As one of the most environmental concerns, inhaled particulate matter (PM10) causes numerous health problems. However, the associations between anxiety behavior and toxicity caused by PM10 have rarely been reported so far. To investigate the changes of behavior after PM10 exposure and to identify the potential mechanisms of toxicity, PM10 samples (with doses of 15 mg/kg and 30 mg/kg) were intratracheally instilled into rats to simulate inhalation of polluted air by the lungs. After instillation for eight weeks, anxiety-like behavior was evaluated, levels of oxidative stress and morphological changes of hippocampus were measured. The behavioral results indicated that PM10 exposure induced obvious anxiety-like behavior in the open field and elevated plus maze tests. Both PM10 concentrations tested could increase whole blood viscosity and trigger hippocampal neuronal damage and oxidative stress by increasing superoxide dismutase (SOD) activities and malondialdehyde levels, and decreasing the expressions of antioxidant-related proteins (e.g., nuclear factor erythroid 2-related factor 2 (Nrf2), SOD1 and heme oxygenase 1). Furthermore, through collecting and analyzing questionnaires, the data showed that the participants experienced obvious anxiety-related emotions and negative somatic responses under heavily polluted environments, especially PM10 being the main pollutant. These results show that PM10 exposure induces anxiety-like behavior, which may be related to suppressing the Nrf2/Keap1-SOD1 pathway.
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Affiliation(s)
- Jie Cheng
- Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Jian Sun
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Rui Niu
- Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China; Medical College, Xi'an Peihua University, Xi'an, 710125, China
| | - Xiaoqing Wang
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Guilin Hu
- Grade 2016, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Fan Li
- Basic Medical Experiment Teaching Center, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Kunrong Gu
- Grade 2016, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Hao Wu
- Grade 2016, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yuanchun Pu
- Grade 2016, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Fanqi Shen
- Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Hao Hu
- Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China; Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education of China, Xi'an, 710049, China.
| | - Zhenxing Shen
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710061, China.
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Cheng Y, Meng Y, Li X, Yin J. Effects of ambient air pollution on the hospitalization risk and economic burden of mental disorders in Qingdao, China. Int Arch Occup Environ Health 2024; 97:109-120. [PMID: 38062177 DOI: 10.1007/s00420-023-02030-2] [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: 09/12/2023] [Accepted: 11/16/2023] [Indexed: 02/21/2024]
Abstract
OBJECTIVE The aim of this study was to examine the impacts of short-term exposure to air pollutants on hospitalizations for mental disorders (MDs) in Qingdao, a Chinese coastal city, and to assess the corresponding hospitalization risk and economic cost. METHODS Daily data on MD hospitalizations and environmental variables were collected from January 1, 2015, to December 31, 2019. An overdispersed generalized additive model was used to estimate the association between air pollution and MD hospitalizations. The cost of illness method was applied to calculate the corresponding economic burden. RESULTS With each 10 μg/m3 increase in the concentration of fine particulate matter (PM2.5) at lag05, inhalable particulate matter (PM10) at lag0, sulfur dioxide (SO2) at lag06 and ozone (O3) at lag0, the corresponding relative risks (RRs) and 95% confidence intervals (CIs) were 1.0182 (1.0035-1.0332), 1.0063 (1.0001-1.0126), 1.0997 (1.0200-1.1885) and 1.0099 (1.0005-1.0194), respectively. However, no significant effects of nitrogen dioxide (NO2) or carbon monoxide (CO) were found. Stratified analysis showed that males were susceptible to SO2 and O3, while females were susceptible to PM2.5. Older individuals (≥ 45 years) were more vulnerable to air pollutants (PM2.5, PM10, SO2 and O3) than younger individuals (< 45 years). Taking the Global Air Quality Guidelines 2021 as a reference, 8.71% (2,168 cases) of MD hospitalizations were attributable to air pollutant exposure, with a total economic burden of 154.36 million RMB. CONCLUSION Short-term exposure to air pollution was associated with an increased risk of hospitalization for MDs. The economic advantages of further reducing air pollution are enormous.
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Affiliation(s)
- Yuanyuan Cheng
- Qingdao Mental Health Center, 299 Nanjing Road, Qingdao, Shandong, China
| | - Yujie Meng
- Qingdao Mental Health Center, 299 Nanjing Road, Qingdao, Shandong, China
| | - Xiao Li
- Qingdao Mental Health Center, 299 Nanjing Road, Qingdao, Shandong, China
| | - Junbo Yin
- Qingdao Mental Health Center, 299 Nanjing Road, Qingdao, Shandong, China.
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Baker E, Barlow CF, Daniel L, Morey C, Bentley R, Taylor MP. Mental health impacts of environmental exposures: A scoping review of evaluative instruments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169063. [PMID: 38048998 DOI: 10.1016/j.scitotenv.2023.169063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 11/21/2023] [Accepted: 12/01/2023] [Indexed: 12/06/2023]
Abstract
To date, much of the health focus of environmental policy has been on preventing physical health impacts of environmental exposures. Recent research has however highlighted increasingly concurrent mental health effects and its consideration is an emerging requirement for many governments and their agencies, yet there are limited universal mental health assessment tools for environmental exposures. This paper details the findings of a scoping review that evaluated assessment tools used to measure psychological impacts from environmental exposures and pollution, as reported in recent peer-reviewed literature (2000-2022). Across the 126 papers identified in our review, a wide range of tools to assess mental health impact were identified. We document a clear recent upswing of research interest in the mental and psychological impacts of environmental exposures, and an overarching concern for air pollution from industry, traffic, and fires. A majority of studies utilised standardised assessment instruments, but there was little consistency in the way that these were combined or deployed. The dominant mental health outcomes of interest in these studies were depression, anxiety, and mental and psychiatric health. The findings of the review identify a need and opportunity to develop a best-practice approach to consistently assess the mental health impacts arising from environmental exposures. Future work is needed to define the most appropriate choice and application of assessment tools to evaluate adverse mental health impacts from environmental exposures. This will support a more universal, coordinated and cross-jurisdiction approach for the assessment, quantification and targeted response to addressing mental health impacts arising from environmental exposures.
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Affiliation(s)
- Emma Baker
- Australian Centre for Housing Research, The University of Adelaide, Adelaide 5005, Australia
| | - Cynthia Faye Barlow
- Australian Centre for Housing Research, The University of Adelaide, Adelaide 5005, Australia
| | - Lyrian Daniel
- UniSA Creative, University of South Australia, Adelaide 5000, Australia
| | - Claire Morey
- Australian Centre for Housing Research, The University of Adelaide, Adelaide 5005, Australia
| | - Rebecca Bentley
- Centre of Research Excellence in Healthy Housing, Melbourne School of Population and Global Health, The University of Melbourne, Parkville 3010, Australia
| | - Mark Patrick Taylor
- Environment Protection Authority Victoria, Centre for Applied Sciences, Ernest Jones Drive, Macleod, Melbourne, Victoria 3085, Australia.
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Sørensen M, Pershagen G, Thacher JD, Lanki T, Wicki B, Röösli M, Vienneau D, Cantuaria ML, Schmidt JH, Aasvang GM, Al-Kindi S, Osborne MT, Wenzel P, Sastre J, Fleming I, Schulz R, Hahad O, Kuntic M, Zielonka J, Sies H, Grune T, Frenis K, Münzel T, Daiber A. Health position paper and redox perspectives - Disease burden by transportation noise. Redox Biol 2024; 69:102995. [PMID: 38142584 PMCID: PMC10788624 DOI: 10.1016/j.redox.2023.102995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 12/26/2023] Open
Abstract
Transportation noise is a ubiquitous urban exposure. In 2018, the World Health Organization concluded that chronic exposure to road traffic noise is a risk factor for ischemic heart disease. In contrast, they concluded that the quality of evidence for a link to other diseases was very low to moderate. Since then, several studies on the impact of noise on various diseases have been published. Also, studies investigating the mechanistic pathways underlying noise-induced health effects are emerging. We review the current evidence regarding effects of noise on health and the related disease-mechanisms. Several high-quality cohort studies consistently found road traffic noise to be associated with a higher risk of ischemic heart disease, heart failure, diabetes, and all-cause mortality. Furthermore, recent studies have indicated that road traffic and railway noise may increase the risk of diseases not commonly investigated in an environmental noise context, including breast cancer, dementia, and tinnitus. The harmful effects of noise are related to activation of a physiological stress response and nighttime sleep disturbance. Oxidative stress and inflammation downstream of stress hormone signaling and dysregulated circadian rhythms are identified as major disease-relevant pathomechanistic drivers. We discuss the role of reactive oxygen species and present results from antioxidant interventions. Lastly, we provide an overview of oxidative stress markers and adverse redox processes reported for noise-exposed animals and humans. This position paper summarizes all available epidemiological, clinical, and preclinical evidence of transportation noise as an important environmental risk factor for public health and discusses its implications on the population level.
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Affiliation(s)
- Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Institute, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Denmark.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jesse Daniel Thacher
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Timo Lanki
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland; School of Medicine, University of Eastern Finland, Kuopio, Finland; Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Benedikt Wicki
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Martin Röösli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Manuella Lech Cantuaria
- Work, Environment and Cancer, Danish Cancer Institute, Copenhagen, Denmark; Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital & University of Southern Denmark, Odense, Denmark
| | - Jesper Hvass Schmidt
- Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital & University of Southern Denmark, Odense, Denmark
| | - Gunn Marit Aasvang
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Sadeer Al-Kindi
- Department of Medicine, University Hospitals, Harrington Heart & Vascular Institute, Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA
| | - Michael T Osborne
- Cardiovascular Imaging Research Center, Massachusetts General Hospital, Boston, MA, USA; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Philip Wenzel
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany
| | - Juan Sastre
- Department of Physiology, Faculty of Pharmacy, University of Valencia, Spain
| | - Ingrid Fleming
- Institute for Vascular Signalling, Centre for Molecular Medicine, Goethe University, Frankfurt Am Main, Germany; German Center of Cardiovascular Research (DZHK), Partner Site RheinMain, Frankfurt, Germany
| | - Rainer Schulz
- Institute of Physiology, Faculty of Medicine, Justus-Liebig University, Gießen, 35392, Gießen, Germany
| | - Omar Hahad
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Marin Kuntic
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Jacek Zielonka
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Helmut Sies
- Institute for Biochemistry and Molecular Biology I, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Katie Frenis
- Hematology/Oncology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Stem Cell Program, Boston Children's Hospital, Boston, MA, USA
| | - Thomas Münzel
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany.
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Tondelli M, Chiari A, Vinceti G, Galli C, Salemme S, Filippini T, Carbone C, Minafra C, De Luca C, Prandi R, Tondelli S, Zamboni G. Greenness and neuropsychiatric symptoms in dementia. ENVIRONMENTAL RESEARCH 2024; 242:117652. [PMID: 37980996 DOI: 10.1016/j.envres.2023.117652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/10/2023] [Accepted: 11/11/2023] [Indexed: 11/21/2023]
Abstract
OBJECTIVES It is acknowledged that living in a green environment may help mental well-being and this may be especially true for vulnerable people. However, the relationship between greenness and neuropsychiatric symptoms in dementia has not been explored yet. METHODS We collected clinical, neuropsychiatric, and residential data from subjects with dementia living in the province of Modena, Northern Italy. Neuropsychiatric symptoms were measured with the Neuropsychiatry Inventory, a questionnaire administered to the caregiver who assesses the presence and severity of neuropsychiatric symptoms, including delusions, hallucinations, agitation/aggression, dysphoria/depression, anxiety, euphoria/elation, apathy/indifference, disinhibition, irritability/lability, aberrant motor behaviors, sleep disturbances, and appetite/eating changes. Normalized Difference Vegetation Index (NDVI) was used as a proxy of greenness. Regression models were constructed to study the association between greenness and neuropsychiatric features. RESULTS 155 patients with dementia were recruited. We found that greenness is variably associated with the risk of having neuropsychiatric symptoms. The risk of apathy was lower with lower levels of greenness (OR = 0.42, 95% CI 0.19-0.91 for NDVI below the median value). The risk of psychosis was higher with lower levels of greenness but with more imprecise values (OR = 1.77, 95% CI 0.84-3.73 for NDVI below the median value). CONCLUSION Our results suggest a possible association between greenness and neuropsychiatric symptoms in people with dementia. If replicated in larger samples, these findings will pave the road for identifying innovative greening strategies and interventions that can improve mental health in dementia.
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Affiliation(s)
- Manuela Tondelli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurology Unit, Baggiovara Hospital, AOU Modena, Modena, Italy.
| | - Annalisa Chiari
- Neurology Unit, Baggiovara Hospital, AOU Modena, Modena, Italy
| | - Giulia Vinceti
- Neurology Unit, Baggiovara Hospital, AOU Modena, Modena, Italy
| | - Chiara Galli
- Primary Care Department, AUSL Modena, Modena, Italy
| | - Simone Salemme
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Tommaso Filippini
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Chiara Carbone
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Claudia Minafra
- Department of Architecture, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Claudia De Luca
- Department of Architecture, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Riccardo Prandi
- Department of Biological, Geological and Environmental Sciences (BiGeA), Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Simona Tondelli
- Department of Architecture, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Giovanna Zamboni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurology Unit, Baggiovara Hospital, AOU Modena, Modena, Italy
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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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8
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Shi J, Huang J, Guo M, Tian L, Wang J, Wong TW, Webster C, Leung GM, Ni MY. Contributions of residential traffic noise to depression and mental wellbeing in Hong Kong: A prospective cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 338:122641. [PMID: 37813145 DOI: 10.1016/j.envpol.2023.122641] [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: 03/14/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/11/2023]
Abstract
Prior studies on the association between traffic noise and mental health have been mostly conducted in settings with lower population densities. However, evidence is lacking in high population-density settings where traffic noise is more pervasive and varies by topography and the vertical elevation of the residential unit. This study aimed to assess the mental health impact of residential traffic noise in one of the world's most urbanised populations. Data were analysed from 13,401 participants aged ≥15 years in a prospective cohort in Hong Kong from 2009 to 2014. Residential traffic noise level was estimated using 3D-geocoding and validated models that accounted for sound propagation in a highly vertical landscape. The 24-h day-night exposure to traffic noise, denoted as Ldn, was estimated with a 10-dB(A) penalty for night hours. Probable depression and mental wellbeing were assessed using the Patient Health Questionnaire-9 and the Short Form Health Questionnaire SF-12v2, respectively. Mixed effect regressions with random intercepts were used to examine the association between traffic noise and mental health outcomes. Residential road traffic noise (for each increment of 10 A-weighted decibels [dB(A)] 24-h average exposure) was associated with probable depression (odds ratio (OR) = 1.17, 95% CI: 1.05, 1.31), and poorer mental wellbeing (mean difference = -0.19, 95% CI: 0.31, -0.06), adjusting for sociodemographics, smoking, body mass index, self-reported health, proximity to green space, and neighbourhood characteristics (average household income, population density, and Gini coefficient). The results were robust to further adjustment for air pollution. In stratified analyses, residential traffic noise was associated with probable depression and poorer mental wellbeing among students and individuals aged 15-34 years. Residential traffic noise was associated with probable depression and poorer mental wellbeing in a highly urbanised setting. As traffic noise is increasing in urban settings, the public health impact of noise pollution could be substantial.
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Affiliation(s)
- Jian Shi
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; School of Nursing, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianxiang Huang
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong SAR, China; Urban Systems Institute, The University of Hong Kong, Hong Kong SAR, China
| | - Mengdi Guo
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong SAR, China; Department of Architecture, School of Architecture, Tianjin University, Tianjin, China
| | - Linwei Tian
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Urban Systems Institute, The University of Hong Kong, Hong Kong SAR, China
| | - Jennifer Wang
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Tze Wai Wong
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chris Webster
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong SAR, China; Urban Systems Institute, The University of Hong Kong, Hong Kong SAR, China; Institute for Data Science, The University of Hong Kong, Hong Kong SAR, China
| | - Gabriel M Leung
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science Park, Hong Kong SAR, China
| | - Michael Y Ni
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong SAR, China; Urban Systems Institute, The University of Hong Kong, Hong Kong SAR, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.
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Feng J, Cai M, Qian ZM, Zhang S, Yang Y, McMillin SE, Chen G, Hua J, Tabet M, Wang C, Wang X, Lin H. The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: Findings from a large prospective cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 897:165235. [PMID: 37414192 PMCID: PMC10522921 DOI: 10.1016/j.scitotenv.2023.165235] [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: 05/10/2023] [Revised: 06/16/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND The association between air pollution and mental disorders has been widely documented in the general population. However, the evidence among susceptible populations, such as individuals with prediabetes or diabetes, is still insufficient. METHODS We analyzed data from 48,515 participants with prediabetes and 24,393 participants with diabetes from the UK Biobank. Annual pollution data were collected for fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide (NO2), and nitrogen dioxides (NOx) during 2006-2021. The exposure to air pollution and temperature for each participant were estimated by the bilinear interpolation approach and time-weighted method based on their geocoded home addresses and time spent at each address. We employed the generalized propensity score model based on the generalized estimating equation and the time-varying covariates Cox model to assess the effects of air pollution. RESULTS We observed causal links between air pollutants and mental disorders among both prediabetic and diabetic participants, with stronger effects among those with diabetes than prediabetes. The hazard ratios were 1.18 (1.12, 1.24), 1.15 (1.10, 1.20), 1.18 (1.13, 1.23), and 1.15 (1.11, 1.19) in patients with prediabetes, and 1.21 (1.13, 1.29), 1.17 (1.11, 1.24), 1.19 (1.13, 1.25), and 1.17 (1.12, 1.23) in patients with diabetes per interquartile range elevation in PM2.5, PM10, NO2, and NOx. Furthermore, the effects were more pronounced among people who were older, alcohol drinkers, and living in urban areas. CONCLUSIONS Our study indicates the potential causal links between long-term exposure to air pollution and incident mental disorders among those with prediabetes and diabetes. Reducing air pollution levels would significantly benefit this vulnerable population by reducing the incidence of mental disorders.
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Affiliation(s)
- Jin Feng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Stephen Edward McMillin
- School of Social Work, Saint Louis University, Tegeler Hall, 3550 Lindell Boulevard, Saint Louis, MO 63103, USA
| | - Ge Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Junjie Hua
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Maya Tabet
- College of Global Population Health, University of Health Sciences and Pharmacy in St. Louis, 1 Pharmacy Place, Saint Louis, MO 63110, USA
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, Henan, China
| | - Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
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Lan Y, Helbich M. Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories. Int J Health Geogr 2023; 22:27. [PMID: 37817189 PMCID: PMC10563352 DOI: 10.1186/s12942-023-00348-1] [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: 07/06/2023] [Accepted: 10/04/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND Short-term environmental exposures, including green space, air pollution, and noise, have been suggested to affect health. However, the evidence is limited to aggregated exposure estimates which do not allow the capture of daily spatiotemporal exposure sequences. We aimed to (1) determine individuals' sequential exposure patterns along their daily mobility paths and (2) examine whether and to what extent these exposure patterns were associated with anxiety symptoms. METHODS We cross-sectionally tracked 141 participants aged 18-65 using their global positioning system (GPS) enabled smartphones for up to 7 days in the Netherlands. We estimated their location-dependent exposures for green space, fine particulate matter, and noise along their moving trajectories at 10-min intervals. The resulting time-resolved exposure sequences were then partitioned using multivariate time series clustering with dynamic time warping as the similarity measure. Respondents' anxiety symptoms were assessed with the Generalized Anxiety Disorders-7 questionnaire. We fitted linear regressions to assess the associations between sequential exposure patterns and anxiety symptoms. RESULTS We found four distinctive daily sequential exposure patterns across the participants. Exposure patterns differed in terms of exposure levels and daily variations. Regression results revealed that participants with a "moderately health-threatening" exposure pattern were significantly associated with fewer anxiety symptoms than participants with a "strongly health-threatening" exposure pattern. CONCLUSIONS Our findings support that environmental exposures' daily sequence and short-term magnitudes may be associated with mental health. We urge more time-resolved mobility-based assessments in future analyses of environmental health effects in daily life.
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Affiliation(s)
- Yuliang Lan
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 BC, Utrecht, The Netherlands.
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 BC, Utrecht, The Netherlands
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11
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Li D, Ma Y, Cui F, Yang Y, Liu R, Tang L, Wang J, Tian Y. Long-term exposure to ambient air pollution, genetic susceptibility, and the incidence of bipolar disorder: A prospective cohort study. Psychiatry Res 2023; 327:115396. [PMID: 37549511 DOI: 10.1016/j.psychres.2023.115396] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/27/2023] [Accepted: 07/29/2023] [Indexed: 08/09/2023]
Abstract
There is mounting recent evidence showing that air pollution exposure may be related to the risk of mental health, yet the association between long-term exposure to air pollution and the risk of incident bipolar disorder (BD) remains unclear. Thus we aim to identify associations between air pollution and the incidence of BD in a prospective population-based cohort. In total, 482,726 participants who were free of BD from the UK Biobank were included in this prospective study. We applied time-varying Cox proportional hazards models, accounting for relevant confounders, and used annual-year moving averages of air pollution as time-varying exposures. The genetic risk for BD was categorized into three categories (low, intermediate, and high) according to the tertiles of polygenic risk score. During a median of 10.79-year follow-up, 923 incident BD events were recorded. Long-term exposures to PM2.5, PM10, NO2, and NOx were associated with increased BD risk. Estimated HRs (95% CIs) for each interquartile range increase in PM2.5, PM10, NO2, and NOx concentrations were 1.31 (1.18-1.45), 1.19 (1.09-1.31), 1.19 (1.08-1.30), and 1.16 (1.07-1.26), respectively. Associations were still observed and even stronger at pollutant concentrations lower than WHO air quality guideline. In subgroup analysis stratified by genetic risk, we observed consistent associations between all pollutants and BD risk in intermediate and high genetic risk groups, but not in low genetic risk group. For example, the HRs (95% CIs) for PM2.5 were 1.00 (0.94-1.53), 1.30 (1.06-1.59), and 1.34 (1.16-1.54) in low, intermediate, and high genetic groups, respectively. In conclusion, long-term exposure to air pollution was significantly associated with an elevated risk of BD. Associations of air pollution with BD occurred only within intermediate and high genetic risk categories and were even stronger at the pollutants levels below WHO air quality guidelines. These findings could help inform policy makers regarding ambient air quality standards and BD management.
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Affiliation(s)
- Dankang Li
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Yudiyang Ma
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Feipeng Cui
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Yingping Yang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Run Liu
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Linxi Tang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Jianing Wang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China.
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12
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Wang L, Gao X, Wang R, Song M, Liu X, Wang X, An C. Ecological correlation between short term exposure to particulate matter and hospitalization for mental disorders in Shijiazhuang, China. Sci Rep 2023; 13:11412. [PMID: 37452053 PMCID: PMC10349047 DOI: 10.1038/s41598-023-37279-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 06/19/2023] [Indexed: 07/18/2023] Open
Abstract
The associations between particulate matter (PM) and overall and specific mental disorders (MDs) are investigated using data from two general hospitals in Shijiazhuang, China, from January 2014 to December 2019. A longitudinal time series study, as one type of ecological study, is conducted using a generalized additive model to examine the relationship between short-term exposure to PM2.5, PM10, and daily hospital admissions for MDs, and further stratification by subtypes, age, and gender. A total of 10,709 cases of hospital admissions for MDs have been identified. The significant short-time effects of PM2.5 on overall MDs at lag01 and PM10 at lag05 are observed, respectively. For specific mental disorders, there are substantial associations of PM pollution with mood disorders and organic mental disorders. PM2.5 has the greatest cumulative effect on daily admissions of mood disorders and organic mental disorders in lag01, and PM 10 has the greatest cumulative effect in lag05. Moreover, the effect modification by sex or age is statistically significant, with males and the elderly (≥ 45 years) having a stronger effect. Short-term exposure to PM2.5 and PM10can be associated with an increased risk of daily hospital admissions for MDs.
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Affiliation(s)
- Lan Wang
- Mental Health Center, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Shijiazhuang, 050031, China
- Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Shijiazhuang, China
- Hebei technical Innovation Center for Mental Health assessment and Intervention, Shijiazhuang, China
| | - Xian Gao
- Department of Gastrointestinal Surgery, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ran Wang
- Mental Health Center, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Shijiazhuang, 050031, China
- Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Shijiazhuang, China
- Hebei technical Innovation Center for Mental Health assessment and Intervention, Shijiazhuang, China
| | - Mei Song
- Mental Health Center, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Shijiazhuang, 050031, China
- Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Shijiazhuang, China
- Hebei technical Innovation Center for Mental Health assessment and Intervention, Shijiazhuang, China
| | - Xiaoli Liu
- The third Hospital of Shijiazhuang, Shijiazhuang, China
| | - Xueyi Wang
- Mental Health Center, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Shijiazhuang, 050031, China.
- Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Shijiazhuang, China.
- Hebei technical Innovation Center for Mental Health assessment and Intervention, Shijiazhuang, China.
| | - Cuixia An
- Mental Health Center, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Shijiazhuang, 050031, China.
- Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Shijiazhuang, China.
- Hebei technical Innovation Center for Mental Health assessment and Intervention, Shijiazhuang, China.
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13
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Huang D, Tian M, Yuan L. Do objective and subjective traffic-related pollution, physical activity and nature exposure affect mental wellbeing? Evidence from Shenzhen, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 869:161819. [PMID: 36708827 DOI: 10.1016/j.scitotenv.2023.161819] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/17/2023] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
Urban environment (e.g. greenspaces, air pollution and traffic noise) and individuals' behaviours (e.g. physical activity) have all been associated with mental wellbeing. The large majority of studies on the influence of nature exposure on mental wellbeing assumed that multiple pathways act independently, ignoring the interactions among potential correlated pathways that engage simultaneously. The parallel mediation approach fails to explore the complex associations of combined exposure to air pollution, traffic noise and nature exposure with physical activity, which in turn affect mental wellbeing. Hence, the interest of understanding the sophisticated interactions among different pathways is warranted. We utilized structural equation modelling to simultaneously evaluate whether actual and perceived traffic-related pollution and physical activity mediate the associations between mental wellbeing and nature exposure, which was assessed by Normalized Difference Vegetation Index (NDVI), green view index (GVI), green space density and park accessibility. In summer 2022, we conducted questionnaires from 1772 adults residing in 117 neighbourhoods in Shenzhen, China. Nature exposure was positively and directly associated with mental wellbeing in the single mediator model that considered physical activity only. The indirect effects of nature exposure on mental wellbeing were observed through all pathways in all models, except through the perceived acoustic quality pathway in the serial mediation model. In addition, the percentage mediated by perceived air quality was higher than that of perceived acoustic quality. The influence of nature exposure on mental wellbeing was only for a small proportion mediated by the physical activity pathway. The associations between nature exposure and mental wellbeing were modified by individual characteristics, such as gender, age, income level and alcohol usage, but not employment status and smoking behaviour. These findings point out the importance of both objective and subjective environmental features and human behaviours on mental wellbeing, as well as the necessity of considering multiple pathways simultaneously.
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Affiliation(s)
- Dengkai Huang
- Lab for Optimizing Design of Built Environment, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
| | - Meng Tian
- Lab for Optimizing Design of Built Environment, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
| | - Lei Yuan
- Lab for Optimizing Design of Built Environment, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.
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Gomm S, Bernauer T. Are actual and perceived environmental conditions associated with variation in mental health? ENVIRONMENTAL RESEARCH 2023; 223:115398. [PMID: 36738773 DOI: 10.1016/j.envres.2023.115398] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/25/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE Empirical evidence on the relationship between environmental factors and mental health remains inconclusive. One reason is that there is only scant evidence on the association between mental health and subjective exposure to environmental stressors, relative to objective pollution. We thus focus on how the perceived and actual presence of noise, air pollution, and green spaces relates to mental health. METHODS AND RESULTS Our cross-sectional study is based on a large representative sample of the adult population in Switzerland (n = 5729). Using individual-level geocodes of subjects' residence, we combined data from a survey of these individuals with data on objectively measured longer-term environmental conditions (noise, air pollution, green spaces). Subclinical mental health was assessed with the 12-item General Health Questionnaire (GHQ-12). When fitting multiple regressions and mediation models, we find that perceptions of environmental stressors are a better predictor of mental distress than objectively measured stressors. In addition, the predictive power of actual nature visits is stronger than the predictive power of mere proximity to green spaces at the place of residence. We found no direct link between actual environmental stressors and mental health, but mediation via perceived environmental stressors. Further, the association between the frequency of nature visits and mental health is mediated by perceived, but not actual pollution. CONCLUSION Since actual environmental stressors are not perceived as equally burdensome by all people, their subjective perception is crucial when evaluating policy interventions aimed at improving mental health. Even a relatively low level of environmental stressors, classified as non-harmful to human health in a physical or biological sense, may thus contribute to negative mental health outcomes. The main policy implication is that attractive and accessible green spaces may provide individuals with an enhanced sense of control over their exposure to environmental stressors and thereby reduce negative impacts.
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Affiliation(s)
- Sarah Gomm
- ETH Zurich, Environmental Politics and International Political Economy, Haldeneggsteig 4, 8092, Zürich, Switzerland.
| | - Thomas Bernauer
- ETH Zurich, Environmental Politics and International Political Economy, Haldeneggsteig 4, 8092, Zürich, Switzerland.
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15
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Amoatey P, Al-Harthy I, Amankona D, Douban S, Izady A, Chen M, Al-Jabri K, Al-Alawi M. Contribution of outdoor noise-induced health risk in schools located in urbanized arid country. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:48107-48119. [PMID: 36752915 DOI: 10.1007/s11356-023-25643-z] [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: 05/21/2022] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Ambient noise pollution is deemed as one of the major growing public health issues, especially in developing countries. Therefore, it is crucial to assess the impact of noise pollution on public health. The aim of this study is to investigate the health risk of noise exposure levels in three schools: Kaab Bin Zeyd of Basic Education (school A), Hail Al-Awamour Girls school (school B), and Al-Fikr School (school C) in Muscat, Oman. The study employed a survey of 300 students, dose-response models, and regression models to quantify health risk and to determine the relationship between noise levels and perceived noise annoyance sources. The study found average noise levels (LAeq) of school A (70.03±8.21 dBA), school B (69.54±7.75 dBA), and school C (55.95± 5.67 dBA) to be higher than WHO's outdoor schools environment standard of 55 dBA and European (EN16798-1) classroom's critical limits of 30-34 dBA. Most of the students from schools A (30.9%), B (33.3%), and C (63%) have reported noise produced from traffic as extremely annoyed compared to aircraft of 15.4%, 11.5%, and 27.2%, respectively. Regression analysis shows that perceived traffic noise was strongly correlated with LAeq in school A (R2 =0.481), B (R2 =0.121), and C (R2 = 0.132) when compared with other subjective noise types. The health risk assessment results show that the percentage of highly annoyed (%HA) was higher in school A (15.2%) and school B (14.95%) than in school C (8.18%). The estimated highly sleep disturbed (%HSD) based on mean noise levels were almost the same in schools A (15.62%) and B (15.19%) but far higher compared to school C (6.01%). However, there was an association between the mean noise exposure levels and the risk of developing ischemic heart diseases (IHD) in school A (RR= 1.172, 95% CI: 1.020-1.334), school B (RR=1.167, 95% CI: 1.020-1.325), and school C (RR=1.051, 95% CI: 1.006-1.095). Moreover, attributable risk percentage (AR%) for school A (AR% =14.675, 95% CI: 2.028-25.037), school B (AR% =14.310, 95% CI: 1.960-24.528), and school C (AR% = 4.852, 95% CI:0.596-8.742) have shown that a substantial portion of the population could be prevented from developing IHD. It is expected that findings of the study can be applied in other arid regions with sprawl urbanized built environments.
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Affiliation(s)
- Patrick Amoatey
- Department of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C, 123, Muscat, Sultanate of Oman
- School of Public Health, Faculty of Medicine, The University of Queensland, 288 Herston Road, Herston, Queensland, Australia
| | - Issa Al-Harthy
- Department of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C, 123, Muscat, Sultanate of Oman.
| | - Diawuo Amankona
- Department of Environmental Science, Faculty of Biosciences, College of Science, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana
| | - Stella Douban
- Department Sociology and Social Work, Faculty of Social Sciences, College of Humanities and Social Sciences, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana
| | - Azizallah Izady
- Water Research Center, Sultan Qaboos University, Muscat, Oman
| | - Mingjie Chen
- Water Research Center, Sultan Qaboos University, Muscat, Oman
| | - Khalifa Al-Jabri
- Department of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C, 123, Muscat, Sultanate of Oman
| | - Mubarak Al-Alawi
- Department of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C, 123, Muscat, Sultanate of Oman
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Wicki B, Schäffer B, Wunderli JM, Müller TJ, Pervilhac C, Röösli M, Vienneau D. Suicide and Transportation Noise: A Prospective Cohort Study from Switzerland. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:37013. [PMID: 36988318 PMCID: PMC10053778 DOI: 10.1289/ehp11587] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 01/18/2023] [Accepted: 02/10/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Although plausible from a pathophysiological point of view, robust evidence for effects of transportation noise on mental health remains scarce. Meanwhile, psychiatric diseases are among the most prevalent noncommunicable diseases worldwide, and suicide as a mortality outcome highly connected to mental disorders presents a pressing public health issue. The aim of this study was to investigate the association between source-specific transportation noise, particulate matter (PM) air pollution, residential greenness, and suicide by means of a nationwide cohort study. METHODS Road traffic, railway and aircraft noise exposure as well as exposure to air pollution [PM with aerodynamic diameter ≤2.5μm (PM2.5)] and greenness [normalized difference vegetation index (NDVI)] were linked to 5.1 million adults (age 15 y and older) in the Swiss National Cohort, accounting for their address history. Mean noise exposure in 5-y periods was calculated. Individuals were followed for up to 15 y (2001-2015). Time-varying Cox regression models were applied to deaths by suicide (excluding assisted suicide). Models included all three noise sources, PM2.5, and NDVI plus individual and spatial covariates, including socioeconomic status. Effect modification by sex, age, socioeconomic indicators, and degree of urbanization was explored. RESULTS During the follow-up, there were 11,265 suicide deaths (10.4% poisoning, 33.3% hanging, 28.7% firearms, 14.7% falls). Road traffic and railway noise were associated with total suicides [hazard ratios: 1.040; 95% confidence interval (CI): 1.015, 1.065; and 1.022 (95% CI: 1.004, 1.041) per 10 dB day-evening-night level (Lden)], whereas for aircraft noise, a risk increase starting from 50 dB was masked by an inverse association in the very low exposure range (30-40 dB). Associations were stronger for females than males. The results were robust to adjustment for residential greenness and air pollution. CONCLUSION In this longitudinal, nationwide cohort study, we report a robust association between exposure to road traffic and railway noise and risk of death by suicide after adjusting for exposure to air pollution and greenness. These findings add to the growing body of evidence that mental health disorders may be related to chronic transportation noise exposure. https://doi.org/10.1289/EHP11587.
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Affiliation(s)
- Benedikt Wicki
- Swiss TPH (Swiss Tropical and Public Health Institute), Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Beat Schäffer
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - Jean Marc Wunderli
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - Thomas J. Müller
- Translational Research Centre, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Private Clinic Meiringen, Meiringen, Switzerland
| | - Charlotte Pervilhac
- Private Clinic Meiringen, Meiringen, Switzerland
- Institute of Psychology, Health Psychology and Behavioural Meidicne, University of Bern, Bern, Switzerland
| | - Martin Röösli
- Swiss TPH (Swiss Tropical and Public Health Institute), Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Swiss TPH (Swiss Tropical and Public Health Institute), Basel, Switzerland
- University of Basel, Basel, Switzerland
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17
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Stojanovic N, Belhocine A, Abdullah OI, Grujic I. The influence of the brake pad construction on noise formation, people's health and reduction measures. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:15352-15363. [PMID: 36169835 DOI: 10.1007/s11356-022-23291-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
The brake system is one of the most important systems on the vehicle, especially from the aspect of traffic safety. The use of the braking system comes with many undesirable effects, such as brake wear and noise emission. The noise that originates from brakes is related to the wear of brake elements, the applied materials for manufacture, to the elements which are connected to each other, and all of this represents a very challengeable problem in the automotive industry. In this paper are presented the dominant parameters that influence noise formation, where the main focus was placed on brake pads, as well as how the noise influences people's health. After that, further, in the paper, it was analyzed the influence of the brake pads' construction on the noise formation, and at the end are given the measures for noise reduction. The conclusions of the paper show that the construction of brake pads significantly influences noise emission, noise negatively influences on the people health, and because of the negative influence on the people health, some solutions show that it is necessary to include insulators in the construction of brake pads, and if the space in which people reside is observed, it is necessary during construction to use materials which will prevent noise conduction, into the space in which people reside.
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Affiliation(s)
- Nadica Stojanovic
- Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
| | - Ali Belhocine
- Department of Mechanical Engineering, University of Sciences and the Technology of Oran, L.P 1505 El -MNAOUER, USTO, 31000, Oran, Algeria
| | - Oday I Abdullah
- Department of Energy Engineering, College of Engineering, University of Baghdad, Baghdad, Iraq
- Department of Mechanics, Al-Farabi Kazakh National University, Almaty, Kazakhstan, 050038
- System Technologies and Engineering Design Methodology, Hamburg University of Technology, Hamburg, Germany
| | - Ivan Grujic
- Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia.
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Baird A, Candy B, Flouri E, Tyler N, Hassiotis A. The Association between Physical Environment and Externalising Problems in Typically Developing and Neurodiverse Children and Young People: A Narrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2549. [PMID: 36767909 PMCID: PMC9916018 DOI: 10.3390/ijerph20032549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/28/2023] [Accepted: 01/28/2023] [Indexed: 06/18/2023]
Abstract
The physical environment is of critical importance to child development. Understanding how exposure to physical environmental domains such as greenspace, urbanicity, air pollution or noise affects aggressive behaviours in typical and neurodiverse children is of particular importance given the significant long-term impact of those problems. In this narrative review, we investigated the evidence for domains of the physical environment that may ameliorate or contribute to the display of aggressive behaviours. We have considered a broad range of study designs that include typically developing and neurodiverse children and young people aged 0-18 years. We used the GRADE system to appraise the evidence. Searches were performed in eight databases in July 2020 and updated in June 2022. Additional articles were further identified by hand-searching reference lists of included papers. The protocol for the review was preregistered with PROSPERO. Results: We retrieved 7174 studies of which 67 are included in this review. The studies reported on green space, environmental noise and music, air pollution, meteorological effects, spatial density, urban or rural setting, and interior home elements (e.g., damp/sensory aspects/colour). They all used well validated parent and child reported measures of aggressive behaviour. Most of the studies were rated as having low or unclear risk of bias. As expected, noise, air pollution, urbanicity, spatial density, colour and humidity appeared to increase the display of aggressive behaviours. There was a dearth of studies on the role of the physical environment in neurodiverse children. The studies were heterogeneous and measured a range of aggressive behaviours from symptoms to full syndromes. Greenspace exposure was the most common domain studied but certainty of evidence for the association between environmental exposures and aggression problems in the child or young person was low across all domains. We found a large knowledge gap in the literature concerning neurodiverse children, which suggests that future studies should focus on these children, who are also more likely to experience adverse early life experiences including living in more deprived environments as well as being highly vulnerable to the onset of mental ill health. Such research should also aim to dis-aggregate the underlying aetiological mechanisms for environmental influences on aggression, the results of which may point to pathways for public health interventions and policy development to address inequities that can be relevant to ill health in neurodiverse young people.
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Affiliation(s)
- Alister Baird
- Division of Psychiatry, University College London, London W1T 7BN, UK
| | - Bridget Candy
- Division of Psychiatry, University College London, London W1T 7BN, UK
| | - Eirini Flouri
- Institute of Education, Psychology and Human Development, University College London, London WC1H 0AL, UK
| | - Nick Tyler
- Department of Civil, Environmental and Geomatic Engineering, Faculty of Engineering Science, University College London, London WC1E 6DE, UK
| | - Angela Hassiotis
- Division of Psychiatry, University College London, London W1T 7BN, UK
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19
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Liu XQ, Huang J, Song C, Zhang TL, Liu YP, Yu L. Neurodevelopmental toxicity induced by PM2.5 Exposure and its possible role in Neurodegenerative and mental disorders. Hum Exp Toxicol 2023; 42:9603271231191436. [PMID: 37537902 DOI: 10.1177/09603271231191436] [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] [Indexed: 08/05/2023]
Abstract
Recent extensive evidence suggests that ambient fine particulate matter (PM2.5, with an aerodynamic diameter ≤2.5 μm) may be neurotoxic to the brain and cause central nervous system damage, contributing to neurodevelopmental disorders, such as autism spectrum disorders, neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease, and mental disorders, such as schizophrenia, depression, and bipolar disorder. PM2.5 can enter the brain via various pathways, including the blood-brain barrier, olfactory system, and gut-brain axis, leading to adverse effects on the CNS. Studies in humans and animals have revealed that PM2.5-mediated mechanisms, including neuroinflammation, oxidative stress, systemic inflammation, and gut flora dysbiosis, play a crucial role in CNS damage. Additionally, PM2.5 exposure can induce epigenetic alterations, such as hypomethylation of DNA, which may contribute to the pathogenesis of some CNS damage. Through literature analysis, we suggest that promising therapeutic targets for alleviating PM2.5-induced neurological damage include inhibiting microglia overactivation, regulating gut microbiota with antibiotics, and targeting signaling pathways, such as PKA/CREB/BDNF and WNT/β-catenin. Additionally, several studies have observed an association between PM2.5 exposure and epigenetic changes in neuropsychiatric disorders. This review summarizes and discusses the association between PM2.5 exposure and CNS damage, including the possible mechanisms by which PM2.5 causes neurotoxicity.
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Affiliation(s)
- Xin-Qi Liu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Jia Huang
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Chao Song
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Tian-Liang Zhang
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Yong-Ping Liu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Li Yu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
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Levert-Levitt E, Shapira G, Sragovich S, Shomron N, Lam JCK, Li VOK, Heimesaat MM, Bereswill S, Yehuda AB, Sagi-Schwartz A, Solomon Z, Gozes I. Oral microbiota signatures in post-traumatic stress disorder (PTSD) veterans. Mol Psychiatry 2022; 27:4590-4598. [PMID: 35864319 DOI: 10.1038/s41380-022-01704-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/06/2022] [Accepted: 07/06/2022] [Indexed: 12/14/2022]
Abstract
Post-traumatic stress disorder (PTSD) represents a global public health concern, affecting about 1 in 20 individuals. The symptoms of PTSD include intrusiveness (involuntary nightmares or flashbacks), avoidance of traumatic memories, negative alterations in cognition and mood (such as negative beliefs about oneself or social detachment), increased arousal and reactivity with irritable reckless behavior, concentration problems, and sleep disturbances. PTSD is also highly comorbid with anxiety, depression, and substance abuse. To advance the field from subjective, self-reported psychological measurements to objective molecular biomarkers while considering environmental influences, we examined a unique cohort of Israeli veterans who participated in the 1982 Lebanon war. Non-invasive oral 16S RNA sequencing was correlated with psychological phenotyping. Thus, a microbiota signature (i.e., decreased levels of the bacteria sp_HMT_914, 332 and 871 and Noxia) was correlated with PTSD severity, as exemplified by intrusiveness, arousal, and reactivity, as well as additional psychopathological symptoms, including anxiety, hostility, memory difficulties, and idiopathic pain. In contrast, education duration correlated with significantly increased levels of sp_HMT_871 and decreased levels of Bacteroidetes and Firmicutes, and presented an inverted correlation with adverse psychopathological measures. Air pollution was positively correlated with PTSD symptoms, psychopathological symptoms, and microbiota composition. Arousal and reactivity symptoms were correlated with reductions in transaldolase, an enzyme controlling a major cellular energy pathway, that potentially accelerates aging. In conclusion, the newly discovered bacterial signature, whether an outcome or a consequence of PTSD, could allow for objective soldier deployment and stratification according to decreases in sp_HMT_914, 332, 871, and Noxia levels, coupled with increases in Bacteroidetes levels. These findings also raise the possibility of microbiota pathway-related non-intrusive treatments for PTSD.
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Affiliation(s)
- Ella Levert-Levitt
- School of Psychological Sciences, Center for the Study of Child Development, University of Haifa, 6035 Rabin Building, Haifa, 3190501, Israel
| | - Guy Shapira
- Department of Cell and Developmental Biology, Sackler Faculty of Medicine, Sagol School of Neuroscience, Edmond J Safra Center for Bioinformatics, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Shlomo Sragovich
- Elton Laboratory for Molecular Neuroendocrinology, Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Adams Super Center for Brain Studies and Sagol School of Neuroscience, Tel Aviv University, 69978, Tel Aviv, Israel
| | - Noam Shomron
- Department of Cell and Developmental Biology, Sackler Faculty of Medicine, Sagol School of Neuroscience, Edmond J Safra Center for Bioinformatics, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Jacqueline C K Lam
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
| | - Victor O K Li
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China
| | - Markus M Heimesaat
- Institute for Microbiology, Infectious Diseases and Immunology, Charité - Universitätsmedizin Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Stefan Bereswill
- Institute for Microbiology, Infectious Diseases and Immunology, Charité - Universitätsmedizin Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Ariel Ben Yehuda
- Department of Health and Well-being, Medical Corps, Israel Defense Forces (IDF), Ramat Gan, Israel.,'Shalvata' Mental Health Center, Clalit Health Services, Hod Hasharon, 4534708, Israel
| | - Abraham Sagi-Schwartz
- School of Psychological Sciences, Center for the Study of Child Development, University of Haifa, 6035 Rabin Building, Haifa, 3190501, Israel
| | - Zahava Solomon
- Gershon H. Gordon Faculty of Social Sciences, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Illana Gozes
- Elton Laboratory for Molecular Neuroendocrinology, Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Adams Super Center for Brain Studies and Sagol School of Neuroscience, Tel Aviv University, 69978, Tel Aviv, Israel.
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21
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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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22
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Zuo L, Chen X, Liu M, Chen L, Xu W, Chen H, Dong S, Wei Y, Li L, Peng S, Hao G. Road Traffic Noise, Obesity, and the Risk of Incident Type 2 Diabetes: A Cohort Study in UK Biobank. Int J Public Health 2022; 67:1605256. [PMID: 36312318 PMCID: PMC9596764 DOI: 10.3389/ijph.2022.1605256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/26/2022] [Indexed: 08/03/2023] Open
Abstract
Objectives: To assess the association of road traffic noise exposure with Type 2 Diabetes (T2D) risk, and to explore the potential moderation effect of obesity. Methods: A total of 305,969 participants from the UK Biobank Cohort - an open access cohort of 500,000 participants recruited in the United Kingdom (UK) between 2006 and 2010 - were included in the study. A Cox proportional hazard model was fitted to assess the association between road traffic noise exposure and T2D. Results: A total of 19,303 participants were diagnosed with T2D during the 11.9-year median follow-up period. For every 10 dB increase in road traffic noise, there was a 4% increase in T2D risk (HR = 1.04, 95%CI: 1.01, 1.07). Besides, a significant positive interaction was observed between obesity and road traffic noise (P interaction <0.001) for the risk of T2D. The association of road traffic noise with T2D was stronger in overweight and obese participants (HR = 1.04, 95% CI: 1.01-1.08), but not significant among lean ones (HR = 0.96, 95% CI: 0.86-1.07). Conclusion: Our study observed a longitudinal association of road traffic noise exposure with T2D risk, which was stronger among overweight and obese individuals than the lean ones.
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Affiliation(s)
- Lei Zuo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Xia Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Mingliang Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Li Chen
- Department of Medicine, Georgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Wenbin Xu
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China
| | - Haiyan Chen
- Department of Parasitic Disease and Endemic Disease Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Shan Dong
- Guangzhou First People’s Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China
| | - Yuan Wei
- Key Laboratory of Sports Technique, Tactics and Physical Function of General Administration of Sport of China, Scientific Research Center, Guangzhou Sport University, Guangzhou, China
| | - Liangming Li
- Key Laboratory of Sports Technique, Tactics and Physical Function of General Administration of Sport of China, Scientific Research Center, Guangzhou Sport University, Guangzhou, China
- School of Sport and Health Sciences, Guangzhou Sport University, Guangzhou, China
| | - Shuang Peng
- Key Laboratory of Sports Technique, Tactics and Physical Function of General Administration of Sport of China, Scientific Research Center, Guangzhou Sport University, Guangzhou, China
- School of Sport and Health Sciences, Guangzhou Sport University, Guangzhou, China
| | - Guang Hao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, China
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23
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Bai W, Zhao X, Yin B, Guo L, Zhang W, Wang X, Yang W. Characteristics of PM 2.5 in an Industrial City of Northern China: Mass Concentrations, Chemical Composition, Source Apportionment, and Health Risk Assessment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19095443. [PMID: 35564844 PMCID: PMC9104452 DOI: 10.3390/ijerph19095443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 11/16/2022]
Abstract
Urban and suburban PM2.5 samples were collected simultaneously during selected periods representing each season in 2019 in Zibo, China. Samples were analysed for water-soluble inorganic ions, carbon components, and elements. A chemical mass balance model and health risk assessment model were used to investigate the source contributions to PM2.5 and the human health risks posed by various pollution sources via the inhalation pathway. Almost 50% of the PM2.5 samples exceeded the secondary standard of China's air quality concentration limit (75 µg/m3, 24 h). Water-soluble inorganic ions were the main component of PM2.5 in Zibo, accounting for 50 ± 8% and 56 ± 11% of PM2.5 at the urban and suburban sites, respectively. OC and OC/EC decreased significantly in the past few years due to enhanced energy restructuring. Pearson correlation analysis showed that traffic emissions were the main source of heavy metals. The Cr(VI) concentrations were 1.53 and 1.92 ng/m3 for urban and suburban sites, respectively, exceeding the national ambient air quality standards limit of 0.025 ng/m3. Secondary inorganic aerosols, traffic emissions, and secondary organic aerosols were the dominant contributors to PM2.5 in Zibo, with the total contributions from these three sources accounting for approximately 80% of PM2.5 and the remaining 20% attributed to traffic emissions. The non-carcinogenic risks from crustal dust for children were 2.23 and 1.15 in urban and suburban areas, respectively, exceeding the safe limit of 1.0 in both locations, as was the case for adults in urban areas. Meanwhile, the carcinogenic risks were all below the safe limit, with the non-carcinogenic and carcinogenic risks from traffic emissions being just below the limits. Strict control of precursor emissions, such as SO2, NOx, and VOCs, is a good way to reduce PM2.5 pollution resulting from secondary aerosols. Traffic control, limiting or preventing outdoor activities, and wearing masks during haze episodes may be also helpful in reducing PM2.5 pollution and its non-carcinogenic and carcinogenic health impacts in Zibo.
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Affiliation(s)
- Wenyu Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (W.B.); (X.Z.); (B.Y.); (L.G.); (W.Y.)
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Xueyan Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (W.B.); (X.Z.); (B.Y.); (L.G.); (W.Y.)
| | - Baohui Yin
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (W.B.); (X.Z.); (B.Y.); (L.G.); (W.Y.)
| | - Liyao Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (W.B.); (X.Z.); (B.Y.); (L.G.); (W.Y.)
| | - Wenge Zhang
- National Institute of Metrology, Beijing 100029, China
- Correspondence: (W.Z.); (X.W.)
| | - Xinhua Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (W.B.); (X.Z.); (B.Y.); (L.G.); (W.Y.)
- Correspondence: (W.Z.); (X.W.)
| | - Wen Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (W.B.); (X.Z.); (B.Y.); (L.G.); (W.Y.)
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24
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Liang XH, Xiao L, Chen JY, Qu P, Tang X, Wang Y. The Determinants of Adolescent Glycolipid Metabolism Disorder: A Cohort Study. Int J Endocrinol 2022; 2022:6214785. [PMID: 35719191 PMCID: PMC9200567 DOI: 10.1155/2022/6214785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 05/09/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The increased prevalence of glycolipid metabolism disorders (GLMD) in childhood and adolescents has a well-established association with adult type 2 diabetes and cardiovascular diseases; therefore, determinants of GLMD need to be evaluated during this period. OBJECTIVES To explore the prevalence of and risk factors for GLMD from the prenatal period through childhood and adolescence. METHODS A bidirectional cohort study which was established in 2014 and followed between March 1 and July 20, 2019, was used to illustrate the impact factors for GLMD. Stratified cluster sampling in urban-rural areas was used to include subjects from four communities in Chongqing. 2808 healthy children aged between 6 and 9 years in 2014 entered the cohort in 2014 and followed in 2019 with a follow-up rate of 70%. 2,136 samples (aged 11.68 ± 0.60 years) were included. RESULTS The prevalence rates of insulin resistance (IR), prediabetes/diabetes, and dyslipidemia were 21.02%, 7.19%, and 21.61%, respectively. Subjects with an urban residence, no pubertal development, dyslipidemia in 2014, higher family income, and higher parental education had significantly elevated fasting insulin (FI) or homeostasis model assessment of insulin resistance (HOMA-IR) levels; subjects with female sex, no pubertal development, dyslipidemia in 2014, obesity, gestational hypertension, maternal weight gain above Institute of Medicine guidelines, and single parents had increased triglyceride or triglyceride/high-density lipoprotein (HDL). Adolescents with rural residence had higher HbA1c level. CONCLUSION We observed that the prevalence of GLMD was high in childhood and adolescents, and rural-urban areas, sex, pubertal development, dyslipidemia in a younger age, maternal obesity, and hypertension were associated with increased GLMD risk, suggesting that implementing the community-family intervention to improve the GLMD of children is essential.
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Affiliation(s)
- Xiao-Hua Liang
- Clinical Epidemiology and Biostatistics Department of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing, China
| | - Lun Xiao
- Centers for Disease Control and Prevention of Jiulongpo District, Chongqing, China
| | - Jing-Yu Chen
- Ultrasound Department of Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Ping Qu
- Clinical Epidemiology and Biostatistics Department of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing, China
| | - Xian Tang
- Clinical Epidemiology and Biostatistics Department of Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing, China
| | - Yuwei Wang
- Department of Laboratory Medicine, Laboratory for Diagnosis and Treatment of Infectious Diseases Integrated Traditional Chinese and Western Medicine, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
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