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Cao T, Tian M, Hu H, Wu H, Yu Q, Su X, Wang R, Zhang Q, An Z, Song J, Li H, Zhang G, Ding Y, Wang C, Wu W, Wu H. Do social economic status modify the association between air pollution and depressive or anxiety symptoms? A big sample cross-sectional study from the rural areas of Central China. J Affect Disord 2024; 362:502-509. [PMID: 39025437 DOI: 10.1016/j.jad.2024.07.063] [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: 12/04/2023] [Revised: 07/05/2024] [Accepted: 07/14/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND Fewer studies have examined the relationship between air pollution and depressive or anxiety symptoms in rural residents. Social economic status (SES), as an important indicator of the current state of socioeconomic development, we know little about how it modifies the relationship between air pollution and symptoms of depression or anxiety. METHODS The patient health questionnaire (PHQ-2) and generalized anxiety scale (GAD-2) were used to learn about the prevalence of depressive and anxiety symptoms, the social economic status of the participants was categorized into two levels: lower and higher, and a binary logistic regression model was used to analyze the relationship between air pollution and residents' symptoms of depression or anxiety. RESULTS A total of 10,670 adults were enrolled in this study, of which a total of 1292 participants suffered from depressive symptoms and 860 suffered from anxiety symptoms. Short-term exposure to PM2.5 and O3, singly or in combination, may be associated with the onset of depression symptoms, and there was a significant interaction between SES and exposure to PM2.5 or O3. Residents of areas with higher SES may have a lower risk of suffering from anxiety symptoms after O3 exposure compared to participants living in lower SES. LIMITATIONS The study was a cross-sectional study, which may have lowered the quality level of the evidence. CONCLUSIONS Short-term PM2.5 and O3 exposure may be associated with an increased prevalence risk of depressive symptoms. Higher levels of SES may reduce the adverse effects of air pollution on depressive or anxiety symptoms.
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Affiliation(s)
- Tingting Cao
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Meichen Tian
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Han Hu
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Huilei Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Qingqing Yu
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Xiaolong Su
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Ruowen Wang
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Qian Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Zhen An
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Huijun Li
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Guofu Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang, China; Henan Province General Medical Educations and Research Center, Xinxiang, China
| | - Yu Ding
- School of Public Health, Xinxiang Medical University, Xinxiang, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, China; Henan Province General Medical Educations and Research Center, Xinxiang, China
| | - Hui Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, China; Henan Province General Medical Educations and Research Center, Xinxiang, China.
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Hoisington AJ, Stearns-Yoder KA, Kovacs EJ, Postolache TT, Brenner LA. Airborne Exposure to Pollutants and Mental Health: A Review with Implications for United States Veterans. Curr Environ Health Rep 2024; 11:168-183. [PMID: 38457036 DOI: 10.1007/s40572-024-00437-8] [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] [Accepted: 02/16/2024] [Indexed: 03/09/2024]
Abstract
PURPOSE OF REVIEW Inhalation of airborne pollutants in the natural and built environment is ubiquitous; yet, exposures are different across a lifespan and unique to individuals. Here, we reviewed the connections between mental health outcomes from airborne pollutant exposures, the biological inflammatory mechanisms, and provide future directions for researchers and policy makers. The current state of knowledge is discussed on associations between mental health outcomes and Clean Air Act criteria pollutants, traffic-related air pollutants, pesticides, heavy metals, jet fuel, and burn pits. RECENT FINDINGS Although associations between airborne pollutants and negative physical health outcomes have been a topic of previous investigations, work highlighting associations between exposures and psychological health is only starting to emerge. Research on criteria pollutants and mental health outcomes has the most robust results to date, followed by traffic-related air pollutants, and then pesticides. In contrast, scarce mental health research has been conducted on exposure to heavy metals, jet fuel, and burn pits. Specific cohorts of individuals, such as United States military members and in-turn, Veterans, often have unique histories of exposures, including service-related exposures to aircraft (e.g. jet fuels) and burn pits. Research focused on Veterans and other individuals with an increased likelihood of exposure and higher vulnerability to negative mental health outcomes is needed. Future research will facilitate knowledge aimed at both prevention and intervention to improve physical and mental health among military personnel, Veterans, and other at-risk individuals.
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Affiliation(s)
- Andrew J Hoisington
- Veterans Affairs Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMR VAMC), Aurora, CO, 80045, USA.
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, 80045, USA.
- Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
- Department of Systems Engineering and Management, Air Force Institute of Technology, Wright-Patterson AFB, Dayton, OH, 45333, USA.
| | - Kelly A Stearns-Yoder
- Veterans Affairs Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMR VAMC), Aurora, CO, 80045, USA
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, 80045, USA
- Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Elizabeth J Kovacs
- Department of Surgery, Division of GI, Trauma and Endocrine Surgery, and Burn Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Veterans Affairs Research Service, RMR VAMC, Aurora, CO, 80045, USA
| | - Teodor T Postolache
- Veterans Affairs Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMR VAMC), Aurora, CO, 80045, USA
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, 80045, USA
- Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
- Department of Veterans Affairs, VISN 5 MIRECC, Baltimore, MD, 21201, USA
| | - Lisa A Brenner
- Veterans Affairs Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center (RMR VAMC), Aurora, CO, 80045, USA
- Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Aurora, CO, 80045, USA
- Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Departments of Psychiatry & Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
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Hu Y, Chavez T, Eckel SP, Yang T, Chen X, Vigil M, Pavlovic N, Lurmann F, Lerner D, Lurvey N, Grubbs B, Al-Marayati L, Toledo-Corral C, Johnston J, Dunton GF, Farzan SF, Habre R, Breton C, Bastain TM. Joint effects of traffic-related air pollution and hypertensive disorders of pregnancy on maternal postpartum depressive and anxiety symptoms. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00692-9. [PMID: 38822090 DOI: 10.1038/s41370-024-00692-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 05/16/2024] [Accepted: 05/20/2024] [Indexed: 06/02/2024]
Abstract
BACKGROUND Ambient air pollution has been linked to postpartum depression. However, few studies have investigated the effects of traffic-related NOx on postpartum depression and whether any pregnancy-related factors might increase susceptibility. OBJECTIVES To evaluate the association between traffic-related NOx and postpartum depressive and anxiety symptoms, and effect modification by pregnancy-related hypertension. METHODS This study included 453 predominantly low-income Hispanic/Latina women in the MADRES cohort. Daily traffic-related NOx concentrations by road class were estimated using the California LINE-source dispersion model (CALINE4) at participants' residential locations and averaged across pregnancy. Postpartum depressive and anxiety symptoms were evaluated by a validated questionnaire (Postpartum Distress Measure, PDM) at 1, 3, 6 and 12 months postpartum. Multivariate linear regressions were performed to estimate the associations at each timepoint. Interaction terms were added to the linear models to assess effect modification by hypertensive disorders of pregnancy (HDPs). Repeated measurement analyses were conducted by using mixed effect models. RESULTS We found prenatal traffic-related NOx was associated with increased PDM scores. Specifically, mothers exposed to an IQR (0.22 ppb) increase in NOx from major roads had 3.78% (95% CI: 0.53-7.14%) and 5.27% (95% CI: 0.33-10.45%) significantly higher 3-month and 12-month PDM scores, respectively. Similarly, in repeated measurement analyses, higher NOx from major roads was associated with 3.06% (95% CI: 0.43-5.76%) significantly higher PDM scores across the first year postpartum. Effect modification by HDPs was observed: higher freeway/highway and total NOx among mothers with HDPs were associated with significantly higher PDM scores at 12 months postpartum compared to those without HDPs. IMPACT This study shows that prenatal traffic-related air pollution was associated with postpartum depressive and anxiety symptoms. The study also found novel evidence of greater susceptibility among women with HDPs, which advances the understanding of the relationships between air pollution, maternal cardiometabolic health during pregnancy and postpartum mental health. Our study has potential implications for clinical intervention to mitigate the effects of traffic-related pollution on postpartum mental health disorders. The findings can also offer valuable insights into urban planning strategies concerning the implementation of emission control measures and the creation of green spaces.
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Affiliation(s)
- Yuhong Hu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Xinci Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mario Vigil
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | | | | | - Brendan Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claudia Toledo-Corral
- Department of Health Sciences, California State University, Northridge, Northridge, CA, USA
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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4
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Tota M, Karska J, Kowalski S, Piątek N, Pszczołowska M, Mazur K, Piotrowski P. Environmental pollution and extreme weather conditions: insights into the effect on mental health. Front Psychiatry 2024; 15:1389051. [PMID: 38863619 PMCID: PMC11165707 DOI: 10.3389/fpsyt.2024.1389051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 05/13/2024] [Indexed: 06/13/2024] Open
Abstract
Environmental pollution exposures, including air, soil, water, light, and noise pollution, are critical issues that may implicate adverse mental health outcomes. Extreme weather conditions, such as hurricanes, floods, wildfires, and droughts, may also cause long-term severe concerns. However, the knowledge about possible psychiatric disorders associated with these exposures is currently not well disseminated. In this review, we aim to summarize the current knowledge on the impact of environmental pollution and extreme weather conditions on mental health, focusing on anxiety spectrum disorders, autism spectrum disorders, schizophrenia, and depression. In air pollution studies, increased concentrations of PM2.5, NO2, and SO2 were the most strongly associated with the exacerbation of anxiety, schizophrenia, and depression symptoms. We provide an overview of the suggested underlying pathomechanisms involved. We highlight that the pathogenesis of environmental pollution-related diseases is multifactorial, including increased oxidative stress, systematic inflammation, disruption of the blood-brain barrier, and epigenetic dysregulation. Light pollution and noise pollution were correlated with an increased risk of neurodegenerative disorders, particularly Alzheimer's disease. Moreover, the impact of soil and water pollution is discussed. Such compounds as crude oil, heavy metals, natural gas, agro-chemicals (pesticides, herbicides, and fertilizers), polycyclic or polynuclear aromatic hydrocarbons (PAH), solvents, lead (Pb), and asbestos were associated with detrimental impact on mental health. Extreme weather conditions were linked to depression and anxiety spectrum disorders, namely PTSD. Several policy recommendations and awareness campaigns should be implemented, advocating for the advancement of high-quality urbanization, the mitigation of environmental pollution, and, consequently, the enhancement of residents' mental health.
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Affiliation(s)
- Maciej Tota
- Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Julia Karska
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Szymon Kowalski
- Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Natalia Piątek
- Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland
| | | | - Katarzyna Mazur
- Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Patryk Piotrowski
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
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Cadman T, Strandberg-Larsen K, Calas L, Christiansen M, Culpin I, Dadvand P, de Castro M, Foraster M, Fossati S, Guxens M, Harris JR, Hillegers M, Jaddoe V, Lee Y, Lepeule J, El Marroun H, Maule M, McEachen R, Moccia C, Nader J, Nieuwenhuijsen M, Nybo Andersen AM, Pearson R, Swertz M, Vafeiadi M, Vrijheid M, Wright J, Lawlor DA, Pedersen M. Urban environment in pregnancy and postpartum depression: An individual participant data meta-analysis of 12 European birth cohorts. ENVIRONMENT INTERNATIONAL 2024; 185:108453. [PMID: 38368715 DOI: 10.1016/j.envint.2024.108453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Urban environmental exposures associate with adult depression, but it is unclear whether they are associated to postpartum depression (PPD). OBJECTIVES We investigated associations between urban environment exposures during pregnancy and PPD. METHODS We included women with singleton deliveries to liveborn children from 12 European birth cohorts (N with minimum one exposure = 30,772, analysis N range 17,686-30,716 depending on exposure; representing 26-46 % of the 66,825 eligible women). We estimated maternal exposure during pregnancy to ambient air pollution with nitrogen dioxide (NO2) and particulate matter (PM2.5 and PM10), road traffic noise (Lden), natural spaces (Normalised Difference Vegetation Index; NDVI, proximity to major green or blue spaces) and built environment (population density, facility richness and walkability). Maternal PPD was assessed 3-18 months after birth using self-completed questionnaires. We used adjusted logistic regression models to estimate cohort-specific associations between each exposure and PPD and combined results via meta-analysis using DataSHIELD. RESULTS Of the 30,772 women included, 3,078 (10 %) reported having PPD. Exposure to PM10 was associated with slightly increased odds of PPD (adjusted odd ratios (OR) of 1.08 [95 % Confidence Intervals (CI): 0.99, 1.17] per inter quartile range increment of PM10) whilst associations for exposure to NO2 and PM2.5 were close to null. Exposure to high levels of road traffic noise (≥65 dB vs. < 65 dB) was associated with an OR of 1.12 [CI: 0.95, 1.32]. Associations between green spaces and PPD were close to null; whilst proximity to major blue spaces was associated with increased risk of PPD (OR 1.12, 95 %CI: 1.00, 1.26). All associations between built environment and PPD were close to null. Multiple exposure models showed similar results. DISCUSSION The study findings suggest that exposure to PM10, road traffic noise and blue spaces in pregnancy may increase PPD risk, however future studies should explore this causally.
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Affiliation(s)
- Tim Cadman
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam, the Netherlands; Department of Social Medicine, School of Medicine, University of Crete, Greece.
| | - Katrine Strandberg-Larsen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Lucinda Calas
- Inserm, UMR1153 Center for Research in Epidemiology and Statistics (CRESS), Early Life Research on Later Health Team (EARoH), Paris, France
| | - Malina Christiansen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Iryna Culpin
- MRC Integrative Epidemiology Unit at the University of Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, United Kingdom
| | - Payam Dadvand
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Montserrat de Castro
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Maria Foraster
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Serena Fossati
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Mònica Guxens
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain; Department of Child and Adolescent Psychiatry, University Medical Center, Erasmus MC, Rotterdam, the Netherlands
| | - Jennifer R Harris
- Center for Fertility and Health, Norwegian Institute of Public Health, Olso, Norway
| | - Manon Hillegers
- Department of Child and Adolescent Psychiatry, University Medical Center, Erasmus MC, Rotterdam, the Netherlands
| | - Vincent Jaddoe
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Yunsung Lee
- Center for Fertility and Health, Norwegian Institute of Public Health, Olso, Norway
| | - Johanna Lepeule
- Université Grenoble Alpes INSERM CNRS Institute for Advanced Biosciences Team of Environmental Epidemiology Applied to Development and Respiratory Health, F-38700 La Tronche, France
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry, University Medical Center, Erasmus MC, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Milena Maule
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy
| | - Rosie McEachen
- Bradford Institute for Health Research, Bradford BD9 6RJ, United Kingdom
| | - Chiara Moccia
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy
| | - Johanna Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - Anne-Marie Nybo Andersen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rebecca Pearson
- MRC Integrative Epidemiology Unit at the University of Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, United Kingdom; Manchester Metropolitan University, All Saints Building, All Saints, Manchester, United Kingdom
| | - Morris Swertz
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marina Vafeiadi
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029 Madrid, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford BD9 6RJ, United Kingdom
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, United Kingdom; Population Health Science, Bristol Medical School, University of Bristol, United Kingdom
| | - Marie Pedersen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Cao T, Tian M, Hu H, Yu Q, You J, Yang Y, An Z, Song J, Zhang G, Zhang G, Wu W, Wu H. The relationship between air pollution and depression and anxiety disorders - A systematic evaluation and meta-analysis of a cohort-based study. Int J Soc Psychiatry 2024; 70:241-270. [PMID: 37753871 DOI: 10.1177/00207640231197941] [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] [Indexed: 09/28/2023]
Abstract
OBJECTIVE To explore the correlation between air pollution and the onset of depression and anxiety disorders, to draw more comprehensive and integrated conclusions, and to provide recommendations for maintaining mental health and developing policies to reduce mental health risks caused by air pollution. METHODS Meta-analysis of cohort study articles exploring the relationship between air pollution and depression or anxiety disorders included in Pubmed, Web Of Science, CNKI, and Wan Fang database before October 31, 2022, and subgroup analysis of the association between air pollution and depression and anxiety disorders regarding the air pollutants studied, the study population, and Publication bias analysis and sensitivity analysis. RESULTS A total of 25 articles meeting the criteria were included in this study, including 23 articles examining the relationship between air pollution and depression and 5 articles examining the relationship between air pollution and anxiety disorders. The results of the meta-analysis were based on the type of pollutant and showed that there was a high degree of heterogeneity among the studies on the relationship between air pollution and depression and a significant heterogeneity among the studies on PM2.5 and the risk of anxiety disorders (I2 = 71%, p < .01), so a random-effects model was selected for the analysis. CO, O3, and SO2 and depression onset had combined RR values of 1.10 (1.00, 1.20), 1.06 (0.87, 1.29), 1.17 (1.06, 1.31), 1.19 (0.90, 1.58), 1.03 (0.99, 1.07), and 1.09 (0.97, 1.24), respectively, and PM2.5 and anxiety The combined RR value for morbidity was 1.10 (0.99, 1.22). The results of sensitivity analysis showed that the combined results were stable and reliable. The results of Egger regression method test showed that none of them had significant publication bias (p > .05). LIMITATION Combined exposure to air pollutants on depression and anxiety, further studies by other researchers are needed in the future. CONCLUSIONS PM2.5 and NO2 exposure, especially long-term exposure, may be associated with the onset of depression, and no association was found for the time being between PM10, CO, O3, SO2 exposure and depression and PM2.5 exposure and anxiety disorders.
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Affiliation(s)
- Tingting Cao
- School of Public Health, Xinxiang Medical University, China
| | - Meichen Tian
- School of Public Health, Xinxiang Medical University, China
| | - Han Hu
- School of Public Health, Xinxiang Medical University, China
| | - Qingqing Yu
- School of Public Health, Xinxiang Medical University, China
| | - Jing You
- School of Public Health, Xinxiang Medical University, China
| | - Yishu Yang
- School of Public Health, Xinxiang Medical University, China
| | - Zhen An
- School of Public Health, Xinxiang Medical University, China
| | - Jie Song
- School of Public Health, Xinxiang Medical University, China
| | - Guofu Zhang
- School of Public Health, Xinxiang Medical University, China
- Henan Province General Medical Educations and Research Center, Xinxiang, China
| | - Guicheng Zhang
- School of Public Health, Curtin University, Perth, Australia
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, China
- Henan Province General Medical Educations and Research Center, Xinxiang, China
| | - Hui Wu
- School of Public Health, Xinxiang Medical University, China
- Henan Province General Medical Educations and Research Center, Xinxiang, China
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7
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Jin J, Xu Z, Beevers SD, Huang J, Kelly F, Li G. Long-term ambient ozone, omega-3 fatty acid, genetic susceptibility, and risk of mental disorders among middle-aged and older adults in UK biobank. ENVIRONMENTAL RESEARCH 2024; 243:117825. [PMID: 38081346 DOI: 10.1016/j.envres.2023.117825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 11/14/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Evidence linking ozone to depression and anxiety disorders remains sparse and results are heterogeneous. It remains unknown whether omega-3 fatty acid, or genetic susceptibility of mental disorders modify the impacts of ozone. The aim is to assess the associations of ambient ozone with depression and anxiety, and further explore the potential modification effects of omega-3 fatty acid and genetic susceptibility. METHODS In total of 257,534 participants were enrolled from 2006 to 2010 and followed up to 2016. Depression and anxiety were assessed using mental health questionnaires, primary care records and hospital admission records. The annual average concentrations of ozone were calculated and linked to individuals by home address. Dietary intake and plasma concentration were selected to reflect levels of omega-3 fatty acid. Polygenetic risk scores were selected to reflect genetic susceptibility. We examined the associations of ozone and incident mental disorders, and potential modification of omega-3 fatty acid and genetic susceptibility. RESULTS Incidences of depression (N = 6957) and anxiety (N = 6944) was associated with increase of ozone. Higher levels of omega-3 fatty acid might attenuate the ozone related depression risk. However, the modification effects of genetic susceptibility were not found. CONCLUSIONS Long-term exposure to ambient ozone increase the risk of mental disorders among the middle aged and older adults, and omega-3 fatty acid could reduce the adverse effects of ozone on mental health. Higher intake of omega-3 fatty acid is a potential strategy to prevent the risks caused by ozone on public mental health.
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Affiliation(s)
- Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Zhihu Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Sean D Beevers
- Environmental Research Group, School of Public Health, Imperial College London, London, UK.
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China; Peking University Institute for Global Health and Development, Beijing, China.
| | - Frank Kelly
- Environmental Research Group, School of Public Health, Imperial College London, London, UK.
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China; Environmental Research Group, School of Public Health, Imperial College London, London, UK.
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8
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Park H, Kang C, Kim H. Particulate matters (PM 2.5, PM 10) and the risk of depression among middle-aged and older population: analysis of the Korean Longitudinal Study of Aging (KLoSA), 2016-2020 in South Korea. Environ Health 2024; 23:4. [PMID: 38172858 PMCID: PMC10762940 DOI: 10.1186/s12940-023-01043-1] [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: 04/23/2023] [Accepted: 12/19/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND There is a growing concern that particulate matter (PM) such as PM2.5 and PM10 has contributed to exacerbating psychological disorders, particularly depression. However, little is known about the roles of these air pollutants on depression in elderly. Therefore, this study aimed to examine the association between PM2.5 and PM10, and depression in the elderly population in South Korea. METHODS We used panel survey data, the Korean Longitudinal Study of Aging (KLoSA), administered by the Labor Institute during the study period of 2016, 2018, and 2020 covering 217 districts in South Korea (n = 7674). Annual district-specific PM2.5 and PM10 concentrations were calculated for the study period from the monthly prediction concentrations produced by a machine-learning-based ensemble model (cross-validated R2: 0.87), then linked to the people matching with year and their residential district. We constructed a generalized estimating equation (GEE) model with a logit link to identify the associations between each of the long-term PM2.5 and PM10 exposures and depression (CES-D 10) after adjusting for individual and regional factors as confounders. RESULTS In single-pollutant models, we found that long-term 10 [Formula: see text] increments in PM2.5 (OR 1.36, 95% CI 1.20-1.56) and PM10 (OR 1.19, 95% CI 1.10-1.29) were associated with an increased risk of depression in the elderly. Associations were consistent after adjusting for other air pollutants (NO2 and O3) in two-pollutant models. In addition, the impacts substantially differed by regions grouped by the tertile of the population density, for which the risks of particulate matters on depression were substantial in the middle- or high-population-density areas in contrast to the low-population-density areas. CONCLUSIONS Long-term exposure to PM2.5 and PM10 was associated with a higher risk of developing depression in elderly people. The impact was modified by the population density level of the region where they reside.
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Affiliation(s)
- Hyunkyung Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea
- National Evidence-Based Health Care Collaborating Agency, 400 Neungdong-Ro, Gwangjin-Gu, Seoul, 04933, Republic of Korea
| | - Cinoo Kang
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea
| | - Ho Kim
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea.
- Institute of Sustainable Development, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea.
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9
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Hu L, Mei H, Feng H, Huang Y, Cai X, Xiang F, Chen L, Xiao H. Exposure to bisphenols, parabens and phthalates during pregnancy and postpartum anxiety and depression symptoms: Evidence from women with twin pregnancies. ENVIRONMENTAL RESEARCH 2023; 221:115248. [PMID: 36623682 DOI: 10.1016/j.envres.2023.115248] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/15/2022] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Women are vulnerable to suffer from the common mental disorders like anxiety and depression during the postpartum period. Exposure to bisphenols, parabens, and phthalates has been linked to anxiety and depression symptoms in the general population. However, little is known about their impacts on postpartum women. OBJECTIVE To evaluate the effects of individual and joint exposure to 11 nonpersistent chemicals during pregnancy on postpartum anxiety and depression. METHODS Among 278 mothers from the Wuhan Twin Birth Cohort (WTBC), bisphenols, parabens, and phthalate metabolites were measured in maternal urine samples from each trimester. Self-rating Anxiety Scale (SAS) and Edinburgh Postnatal Depression Scale (EPDS) were administrated at early pregnancy and 1 month and 6 months postpartum to determine anxiety and depression symptoms, respectively. Associations between urinary chemical biomarkers (individual or mixtures) and anxiety and depression symptoms were estimated using multiple informant model and quantile-based g-computation. RESULTS With adjustment for confounders, one quartile increase in the overall chemical mixture (bisphenols, parabens and phthalate metabolites) during the second trimester was associated with 1.03-point (95% CI: 0.07, 1.99, P = 0.036) higher EPDS score at 1 month postpartum, in which bisphenol A (BPA) and bisphenol F (BPF) contributed the most to the positive association. Consistent effects were also observed in the multiple informant models. We found that second-trimester BPA and BPF exposure individually showed the strongest and significant associations with anxiety and depression symptoms, and some of associations differed across trimesters (Ptrimester-int < 0.05). CONCLUSIONS Second-trimester nonpersistent chemical exposure was associated with increased postpartum anxiety and depression symptoms.
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Affiliation(s)
- Liqin Hu
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Hong Mei
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Huan Feng
- Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Yufang Huang
- Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Xiaonan Cai
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Feiyan Xiang
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Luyi Chen
- Maternal Health Care Department, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
| | - Han Xiao
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
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10
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Rothschild J, Haase E. The mental health of women and climate change: Direct neuropsychiatric impacts and associated psychological concerns. Int J Gynaecol Obstet 2023; 160:405-413. [PMID: 36165632 DOI: 10.1002/ijgo.14479] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/11/2022] [Accepted: 09/26/2022] [Indexed: 01/20/2023]
Abstract
Climate change brings exposures to heat, air pollution, poorer quality food, and infectious disease that have significant direct effects on women and their mental health. These environmental impacts are multifaceted in their consequences and raise risks of depression, suicide, violent victimization, post-traumatic stress disorder, and various other neuropsychiatric symptoms. Women also suffer increased climate psychological risks from higher rates of stillbirth, preterm birth, and developmental problems in their children. Here we review what is known about the overlap of women's individual mental health and climate change, and highlight areas where more research is needed.
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Affiliation(s)
- Julia Rothschild
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Elizabeth Haase
- Department of Psychiatry, Carson Tahoe Regional Medical Center, Carson City, Nevada, USA.,University of Nevada School of Medicine at Reno, Reno, Nevada, USA
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11
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Vastegani SM, Hajipour S, Sarkaki A, Basir Z, Farbood Y, Bavarsad K, Khoshnam SE. Curcumin Ameliorates Neurobehavioral Deficits in Ambient Dusty Particulate Matter-Exposure Rats: The Role of Oxidative Stress. Neurochem Res 2023; 48:1798-1810. [PMID: 36708454 DOI: 10.1007/s11064-023-03877-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 01/29/2023]
Abstract
It has been consistently found that exposure to ambient air pollution, such as particulate matter (PM), results in cognitive impairments and mental disorders. This study aimed to investigate the possible neuroprotective effects of curcumin, a polyphenol compound, on the neurobehavioral deficits and to identify the role of oxidative stress in dusty PM exposure rats. Rats received curcumin (50 mg/kg, daily, gavage, 2 weeks) 30 min before placing animals in a clean air chamber (≤ 150 µg/m3, 60 min daily, 2 weeks) or ambient dusty PM chamber (2000-8000 µg/m3, 60 min daily, 2 weeks). Subsequently, the cognitive and non-cognitive functions of the animals were evaluated using standard behavioral tests. Moreover, blood-brain barrier (BBB) permeability, brain water content (BWC), oxidative-antioxidative status, and histological changes were determined in the cerebral cortex and hippocampal areas of the rats. Our results showed that curcumin administration in dusty PM exposure rats attenuates memory impairment, decreases anxiety-/depression-like behaviors, and improves locomotor/exploratory activities. These findings were accompanied by reduced BBB permeability and BWC, decreasing oxidative stress, and lessening neuronal loss in the cerebral cortex and different hippocampal areas. The results of this study suggest that curcumin's antioxidant properties may contribute to its efficacy in improving neurobehavioral deficits and preventing neuronal loss associated with dusty PM exposure.
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Affiliation(s)
- Sadegh Moradi Vastegani
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Somayeh Hajipour
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Alireza Sarkaki
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Zahra Basir
- Department of Basic Sciences, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | - Yaghoob Farbood
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Kowsar Bavarsad
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyed Esmaeil Khoshnam
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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12
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Zhao W, Zhao Y, Wang P, Zhou Y, Meng X, Ma W, Li J, Zhang Y. PM 2.5 exposure associated with prenatal anxiety and depression in pregnant women. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 248:114284. [PMID: 36395653 DOI: 10.1016/j.ecoenv.2022.114284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Associations of air pollution with anxiety and depression were found in previous studies. However, whether air pollution exposure during pregnancy contributes to prenatal anxiety and depression or not is under-investigated. In this study, we aimed to analyze associations between fine particulate matter (PM2.5) exposure with anxiety and depression during pregnancy and to explore the critical window of PM2.5 exposure. METHODS This study was based on the Shanghai Maternal-Child Pairs Cohort (Shanghai MCPC). We used a gap-filling random forest model to estimate PM2.5 exposure concentration during pregnancy of each participant. The Self-Rating Anxiety Scale (SAS) and the Center for Epidemiological Survey-Depression Scale (CES-D) were used to quantify the anxiety and depression levels in late pregnancy. Covariate information was obtained from medical records and questionnaires. We performed generalized linear regression and logistic regression models to assess the association and the critical window. RESULTS Totally 3731 pregnant women were included, with the age of 28.85 ± 3.97 years old. Anxiety and depression rates were 10.8 % and 11.5 % respectively, according to the cut-off value of SAS and CES-D. Generalized linear regression results showed that the increase of PM2.5 concentration in three stages (gestational 0-13 weeks, 0-26 weeks, 0-36 weeks) was related to the increase of scale score. The PM2.5 concentration in 0-13 weeks could increase the risk of anxiety and depression by approximately 23 % and 25 %, respectively. And the gestational weeks 4th-13th were the suspicious critical window of PM2.5 exposure. CONCLUSION The increased risk of anxiety or depression was related to PM2.5 exposure during pregnancy, especially early pregnancy.
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Affiliation(s)
- Wenxuan Zhao
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yue Zhao
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Pengpeng Wang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yuhan Zhou
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xia Meng
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Wenjuan Ma
- Minhang Hospital, Fudan University, Shanghai, China.
| | - Jiufeng Li
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Yunhui Zhang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
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13
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Zundel CG, Ryan P, Brokamp C, Heeter A, Huang Y, Strawn JR, Marusak HA. Air pollution, depressive and anxiety disorders, and brain effects: A systematic review. Neurotoxicology 2022; 93:272-300. [PMID: 36280190 PMCID: PMC10015654 DOI: 10.1016/j.neuro.2022.10.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 10/12/2022] [Accepted: 10/19/2022] [Indexed: 11/05/2022]
Abstract
Accumulating data suggest that air pollution increases the risk of internalizing psychopathology, including anxiety and depressive disorders. Moreover, the link between air pollution and poor mental health may relate to neurostructural and neurofunctional changes. We systematically reviewed the MEDLINE database in September 2021 for original articles reporting effects of air pollution on 1) internalizing symptoms and behaviors (anxiety or depression) and 2) frontolimbic brain regions (i.e., hippocampus, amygdala, prefrontal cortex). One hundred and eleven articles on mental health (76% human, 24% animals) and 92 on brain structure and function (11% human, 86% animals) were identified. For literature search 1, the most common pollutants examined were PM2.5 (64.9%), NO2 (37.8%), and PM10 (33.3%). For literature search 2, the most common pollutants examined were PM2.5 (32.6%), O3 (26.1%) and Diesel Exhaust Particles (DEP) (26.1%). The majority of studies (73%) reported higher internalizing symptoms and behaviors with higher air pollution exposure. Air pollution was consistently associated (95% of articles reported significant findings) with neurostructural and neurofunctional effects (e.g., increased inflammation and oxidative stress, changes to neurotransmitters and neuromodulators and their metabolites) within multiple brain regions (24% of articles), or within the hippocampus (66%), PFC (7%), and amygdala (1%). For both literature searches, the most studied exposure time frames were adulthood (48% and 59% for literature searches 1 and 2, respectively) and the prenatal period (26% and 27% for literature searches 1 and 2, respectively). Forty-three percent and 29% of studies assessed more than one exposure window in literature search 1 and 2, respectively. The extant literature suggests that air pollution is associated with increased depressive and anxiety symptoms and behaviors, and alterations in brain regions implicated in risk of psychopathology. However, there are several gaps in the literature, including: limited studies examining the neural consequences of air pollution in humans. Further, a comprehensive developmental approach is needed to examine windows of susceptibility to exposure and track the emergence of psychopathology following air pollution exposure.
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Affiliation(s)
- Clara G Zundel
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
| | - Patrick Ryan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| | - Cole Brokamp
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| | - Autumm Heeter
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
| | - Yaoxian Huang
- Department of Civil and Environmental Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, USA.
| | - Jeffrey R Strawn
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Anxiety Disorders Research Program, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA.
| | - Hilary A Marusak
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA; Merrill Palmer Skillman Institute for Child and Family Development, Wayne State University, Detroit, MI, USA; Translational Neuroscience Program, Wayne State University, Detroit, MI, USA.
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14
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Cao Q, Zou L, Fan Z, Yan Y, Qi C, Wu B, Song B. Ozone causes depressive-like response through PI3K/Akt/GSK3β pathway modulating synaptic plasticity in young rats. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 246:114171. [PMID: 36228356 DOI: 10.1016/j.ecoenv.2022.114171] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 10/04/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
Ozone pollution has been associated with several adverse effects, including memory impairment, intellectual retardation, emotional disturbances. However, the potential mechanisms remain uncertain. The present study aimed to investigate whether ozone (O3) regulates synaptic plasticity through PI3K/Akt/GSK3β signaling pathway and induces neurobehavioral modifications among the young rats. In vivo, the newborn rats were used to construct the animal model of early postnatal O3 treatment. In vitro, this study measured the effect of different concentrations of serum from O3 treated rats on the viability of the PC12 cells, and investigated the modifications of synaptic plasticity and PI3K/Akt/GSK3β signaling pathway in the hippocampus and PC12 cells after O3 treated. The results revealed significant depression-like behavior and increased hippocampal histopathological damage in the young rats after O3 treated. Compared with the control group, the expression levels of synaptic related proteins including Drebrin, PSD95, Synaptophysin and PIK3R1, p-Akt, and p-GSK3β were decreased in the O3 treated group. In vitro assays, a significant reduction in Drebrin, PSD95, Synaptophysin, PIK3R1, p-Akt, and p-GSK3β was found in PC12 cells after O3 serum treated. While 740Y-P (a specific PI3K activator) administered, the expression levels of Drebrin, PSD95, Synaptophysin, PIK3R1, p-Akt, and p-GSK3β in the 740Y-P + O3 group were significantly elevated in vivo and vitro compared with the O3-only group. In addition, miRNAs modulating PIK3R1 were screened on bioinformatics website, the study found aberrant expression of miR-221-3p in the hippocampus and serum of O3 treated group. Inhibition of miR-221-3p expression effectively reversed the reduction of Drebrin, PSD95, Synaptophysin, PIK3R1, p-Akt, and p-GSK3β in PC12 cells induced by O3 treatment. Altogether, these studies indicate that O3 restrained the expression of PI3K/Akt/GSK3β signaling pathway and impaired synaptic plasticity that resulted in depressive-like behavior in young rats. Moreover, miR-221-3p plays an important role in this procedure by regulating PIK3R1.
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Affiliation(s)
- Qi Cao
- Department of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, Hebei 050000, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei 050000, China
| | - Lingyun Zou
- Department of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, Hebei 050000, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei 050000, China
| | - Zhuo Fan
- Department of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, Hebei 050000, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei 050000, China
| | - Yuandong Yan
- Department of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, Hebei 050000, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei 050000, China
| | - Changcun Qi
- Department of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, Hebei 050000, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei 050000, China
| | - Bailin Wu
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, China.
| | - Bo Song
- Department of Occupational Health and Environmental Health, School of Public Health, Hebei Medical University, Shijiazhuang, Hebei 050000, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei 050000, China.
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15
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Hu J, Wan N, Ma Y, Liu Y, Liu B, Li L, Liu C, Qiao C, Wen D. Trimester-specific association of perceived indoor air quality with antenatal depression: China Medical University Birth Cohort Study. INDOOR AIR 2022; 32:e13167. [PMID: 36437675 DOI: 10.1111/ina.13167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/26/2022] [Accepted: 10/26/2022] [Indexed: 06/16/2023]
Abstract
Antenatal depression is associated with adverse birth and long-term outcomes for mothers and children. Pregnant women spend 90% of time indoors; however, the association between indoor air quality and risk of antenatal depression has not been established. In this study, we aim to determine the total and trimester-specific association of perceived indoor air quality (PIAQ) with antenatal depression. A total of 2166 pregnant women were enrolled during the first trimester and evaluated during the second and third trimesters in the China Medical University Birth Cohort Study, a prospective pre-birth cohort study in northeastern China. PIAQ scores were obtained during each of three trimesters, which a higher score indicated a worse indoor air quality. Antenatal depression was screened using an Edinburgh Postnatal Depression Scale (EPDS) and defined as an EPDS score ≥ 9. Prevalence of antenatal depression was 26.7%, 20.6%, and 20.9% during the first, second, and third trimesters, respectively. A higher PIAQ score was positively associated with a depression score throughout pregnancy (β = 0.27, 95% CI = 0.15-0.39). Trimester-specific adverse PIAQ exposure was associated with a higher depression score in the same trimester, but not with a higher score in a subsequent trimester. A dose-response pattern and incremental increases in risk of depression were observed with calculated adverse PIAQ exposures across all three trimesters, with the highest risk (OR = 3.24; 95% CI = 2.28-4.78) among women with adverse PIAQ across all three trimesters. The hazardous association between adverse PIAQ exposure and risk of depression were less pronounced among women with higher physical activity levels (P for interaction < 0.001). The results of present study provided important evidence that pregnant women's mental health was linked to indoor air quality during pregnancy. These findings could be helpful in the development of guidelines to prevent antenatal depression by improving indoor air quality.
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Affiliation(s)
- Jiajin Hu
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
- Division of Chronic Disease Research across the Lifecourse, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Ningyu Wan
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Yanan Ma
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang, China
| | - Yilin Liu
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Borui Liu
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Lin Li
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
- Department of Developmental Pediatrics, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Caixia Liu
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Chong Qiao
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Deliang Wen
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
- Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, Shenyang, China
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16
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The Effects of Indoor Air Filter on Reductions in PM2.5 Associated Health Risks of Respiratory Function in Mouse. ATMOSPHERE 2022. [DOI: 10.3390/atmos13071005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
This study aimed to assess whether protective measures could reduce the health risks of air pollution in mice living in the chambers situated at a suburban site in Beijing. The living chambers of mice were divided into four groups: male mice with and without the high-efficiency particulate air (HEPA) filter (male group A and group B), as well as female mice with and without the HEPA filter (female group A and group B). The experiment was carried out from 1 December 2017 to 31 May 2018. Parameters of respiratory function during periods of clean air and air pollution were determined for all groups to evaluate the role of the indoor air filter (i.e., HEPA) in protection against respiratory health risks in mice. Significant differences in minute volumes were observed in male and female groups with versus without the HEPA. Additionally, respiratory health parameters including respiratory rate, duration of breaking, expiratory time, and relaxation time exhibited differences in female groups with HEPA versus without HEPA. Levels of inflammatory factors in the lungs were measured for all groups after 6months of exposure. Greater mean levels of IL-6 and TNF-α were found in the male groups without HEPA than in those with HEPA. Higher average concentrations of IL-6, T-AOC, SOD, GSH-Px, LDH, TNF-α, and TGF-β1 were found in the female group without HEPA than those without HEPA. Our study has proved the effective protection provided by indoor air filters (i.e., HEPA filters) in reducing respiratory health risks associated with PM2.5.
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Abstract
PURPOSE OF REVIEW There is increasing interest in the links between exposure to air pollution and a range of health outcomes. The association with mental health however is much less established. This article reviews developments in the field over the past 12 months, highlighting the evidence for causation, associations between multiple air pollutants and mental health outcomes, and assesses the challenges of researching this topic. RECENT FINDINGS Increasingly rigorous methods are being applied to the investigation of a broader range of mental health outcomes. These methods include basic science, neuroimaging, and observational studies representing diverse geographical locations. Cohort studies with linked high-resolution air pollutant exposure data are common, facilitating advanced analytic methods. To date, meta-analyses have demonstrated small and significant positive associations between long-term exposure to fine particulate matter and depressive symptoms and cognitive decline. Methodological complexities in measuring exposure and outcome pose ongoing difficulties for the field. SUMMARY Literature on this topic has recently seen an appreciable expansion. Work that better estimates daily exposure, controls for complex confounders, and is driven by hypotheses founded in candidate causal mechanisms would help clarify associations, and inform targeted interventions and policymakers.
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