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Wies B, Valls I, Fernandes A, Ubalde-López M, Rocabois A, Vrijheid M, Slama R, Nieuwenhuijsen M. Urban environment and children's health: An umbrella review of exposure response functions for health impact assessment. ENVIRONMENTAL RESEARCH 2024:120084. [PMID: 39369784 DOI: 10.1016/j.envres.2024.120084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 09/13/2024] [Accepted: 09/27/2024] [Indexed: 10/08/2024]
Abstract
BACKGROUND Urban settlements have become the main living environment. Understanding the impact of urban exposures on human health has therefore become a growing area of research. Up-to-date knowledge about the influence of urban exposures on pregnant women's and children's health is especially relevant, as they are particularly vulnerable to certain external influences. AIM This review aims to provide a synthesis of systematic reviews with meta-analyses reporting on an association between the urban environmental risk factors and health outcomes in pregnancy, infants, children and adolescents. METHODS We conducted an umbrella review, methodically analysing systematic reviews with meta-analyses, published between January 2016 and December 2022 in PubMed or Scopus. Adhering to the PRISMA checklist, we searched for free text using Medical Subject Headings (MeSH) terms related to air pollution, noise pollution, temperature, green space exposure, built and food environment, health outcomes, children (aged 0 - 18 years), pregnancy and systematic reviews with meta-analyses. We extracted key characteristics of each included study and assessed the quality of the included studies via the R-AMSTAR 2 tool. RESULTS Twenty-four studies met our inclusion criteria and identified 104 associations including 15 exposures and 60 health outcomes. The most frequently studied associations were related to air pollutants, followed by the built and food environment and noise. Birth outcomes (including low birth weight, pre-term birth or stillbirth) were the most commonly affected health outcomes, followed by respiratory outcomes such as asthma or respiratory infections. A total of 45 exposure-response function were reported to be statistically significant, including 10 exposures and 23 health effects. CONCLUSION This umbrella review provides an overview of the evidence and availability of exposure response functions between selected urban exposures and child health outcomes. This helps to identify research gaps and to build the basis for health impact assessment.
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Affiliation(s)
- Blanche Wies
- Institute de Salud Global (ISGlobal), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Inés Valls
- Institute de Salud Global (ISGlobal), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Amanda Fernandes
- Institute de Salud Global (ISGlobal), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mònica Ubalde-López
- Institute de Salud Global (ISGlobal), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Audrey Rocabois
- French National Institute of Health and Medical Research (Inserm), University Grenoble Alpes, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Martine Vrijheid
- Institute de Salud Global (ISGlobal), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Rémy Slama
- French National Institute of Health and Medical Research (Inserm), University Grenoble Alpes, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Mark Nieuwenhuijsen
- Institute de Salud Global (ISGlobal), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
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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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Fang J, Yu Y, Zhang G, Zhu P, Shi X, Zhang N, Zhang P. Uncovering the impact and mechanisms of air pollution on eye and ear health in China. iScience 2024; 27:110697. [PMID: 39262800 PMCID: PMC11387599 DOI: 10.1016/j.isci.2024.110697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 07/08/2024] [Accepted: 08/06/2024] [Indexed: 09/13/2024] Open
Abstract
Increasing air pollution could undermine human health, but the causal link between air pollution and eye and ear health has not been well-studied. Based on four-week-level records of eye and ear health over 1991-2015 provided by the China Health and Nutrition Survey, we estimate the causal effect of air pollution on eye and ear health. Using two-stage least squares estimation, we find that eye or ear disease possibility rises 1.48% for a 10 μg/m3 increase in four-week average PM2.5 concentration. The impacts can last about 28 weeks and will be insignificant afterward. Females, individuals aged 60 years and over, with high exposure environments, relatively poor economic foundations, and low knowledge levels are more vulnerable to such negative influences. Behavioral channels like more smoking activities and less sleeping activities could partly explain this detrimental effect. Our findings enlighten how to minimize the impact of air pollution and protect public health.
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Affiliation(s)
- Jingwei Fang
- Institute of Blue and Green Development, Shandong University, Weihai 264209, China
| | - Yanni Yu
- Institute of Blue and Green Development, Shandong University, Weihai 264209, China
- Department of Land Economy, University of Cambridge, Cambridge CB2 1TN, UK
| | - Guanglai Zhang
- School of Economics, Jiangxi University of Finance and Economics, Nanchang 330013, China
| | - Penghu Zhu
- Institute of Blue and Green Development, Shandong University, Weihai 264209, China
| | - Xin Shi
- School of Health Management, China Medical University, Shenyang 110122, China
| | - Ning Zhang
- Institute of Blue and Green Development, Shandong University, Weihai 264209, China
- Department of Land Economy, University of Cambridge, Cambridge CB2 1TN, UK
| | - Peng Zhang
- School of Management and Economics, The Chinese University of Hong Kong, Shenzhen 518172, China
- Shenzhen Finance Institute, Shenzhen 518038, China
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Dun-Campbell K, Hartwell G, Maani N, Tompson A, van Schalkwyk MC, Petticrew M. Commercial determinants of mental ill health: An umbrella review. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003605. [PMID: 39196874 DOI: 10.1371/journal.pgph.0003605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 07/24/2024] [Indexed: 08/30/2024]
Abstract
Mental ill health has complex and interrelated underlying causes, with wider determinants of health often overlooked as risk factors. The 'commercial determinants of health' are gradually receiving more attention and recognition but there is a relative lack of awareness of the commercial determinants of mental health. This aim of this umbrella review was to synthesise systematic review level evidence for the association between commercial determinants and mental health outcomes. This umbrella review included evidence from high, middle, and low-income countries. We included terms related to broader commercial activities and terms focused on six key unhealthy commodities (tobacco, alcohol, ultra-processed foods, gambling, social media, fossil fuels) and the impacts of fossil fuel consumption (climate change, air pollution, wider pollution). We included 65 reviews and found evidence from high quality reviews for associations between alcohol, tobacco, gambling, social media, ultra-processed foods and air pollution and depression; alcohol, tobacco, gambling, social media, climate change and air pollution with suicide; climate change and air pollution with anxiety; and social media with self-harm. There was a lack of evidence examining wider practices of commercial industries. Our umbrella review demonstrates that by broadening the focus on commercial determinants, the influence of commercial products and activities on mental ill health can be better understood. The lack of research examining broader commercial practices on mental ill health is an area that should be addressed. Our review highlights the existing base of high-quality evidence for many of these unhealthy commodities' impacts on mental ill health and indicates that commercial determinants is a valuable framework for understanding the drivers of mental ill health.
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Affiliation(s)
- Kate Dun-Campbell
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Greg Hartwell
- Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Nason Maani
- School of Social and Political Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Alice Tompson
- Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - May Ci van Schalkwyk
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Mark Petticrew
- Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Agimas MC, Derseh NM, Mamo F, Abebe MT, Yemanu T, Asmamaw M. Trend, burden and determinants of undiagnosed hypertension in the Horn of Africa: A systematic review and meta-analysis. PLoS One 2024; 19:e0303940. [PMID: 39178236 PMCID: PMC11343413 DOI: 10.1371/journal.pone.0303940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 05/03/2024] [Indexed: 08/25/2024] Open
Abstract
BACKGROUND Hypertension is a silent killer disease and the global report revealed that half of the world's population lives with undiagnosed hypertension. The problem is expected to be worse in low-income countries such as in Horn of Africa countries. Thus, we planned to determine the trend, burden, and determinates of undiagnosed hypertension in this region and provide conclusive and tangible evidence for interventions. METHOD Articles were searched on Google, Google Scholar, PubMed/Medline, EMBASE, SCOPUS, and the published articles' reference list. The JBI critical appraisal checklist was used for quality assessment. A sensitivity test and I2 statistics were conducted to evaluate the heterogeneity. The Begg's statistics in the random effect model were done to evaluate the publication bias. RESULT The pooled prevalence of undiagnosed hypertension in the Horn of Africa was 17% (95% CI: 15%-20%) and it ranges from from 13% in 2006 to 20% in 2023. A trip time to a medical institution of less than 35 minutes (OR = 0.52, 95%CI: 0.35-0.79), no regular exercise (OR = 2.26, 95% CI: 1.54-3.32), age > = 45 years (OR = 2.51, 95% CI: 1.66-3.8), age 35-44 years (OR = 1.88, 95% CI: 1.5-2.37), male (OR = 1.72, 95% CI: 1.34-2.2), poor knowledge (OR = 3.29, 95%CI: 2.39,4.53), normal BMI (OR = 3.84, 95% CI: 2.96-4.98), Overweight (OR = 1.97, 95% CI: 2.96-4.98), poor health seeking (OR = 2.79, 95%CI: 2.01-3.86), low vegetable consumers (OR = 1.99, 95%CI:1.36-2.91), smoking (OR = 1.47, 95%CI: 1.13-1.93), high triglyceride (OR = 1.83, 95%CI:1.33-2.52), chat chewing (OR = 2.18, 95%CI: 1.54-3.09), and alcohol drinking (OR = 1.75, 95%CI: 1.32-2.33) were the determinats of undiagnosed hypertension. CONCLUSION AND RECOMMENDATION The pooled prevalence of undiagnosed hypertension was low in the Horn of Africa but its trend was increased over time. Individual level variables were identified that affect the undiagnosed hypertension. Therefore, healthy lifestyle is recommended.
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Affiliation(s)
- Muluken Chanie Agimas
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Nebiyu Mekonnen Derseh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Fantu Mamo
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Moges Tadesse Abebe
- Department of Nursing, College of Health Science, Debark University, Debark, Ethiopia
| | - Tilahun Yemanu
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Meron Asmamaw
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
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Smolker HR, Reid CE, Friedman NP, Banich MT. The Association between Exposure to Fine Particulate Air Pollution and the Trajectory of Internalizing and Externalizing Behaviors during Late Childhood and Early Adolescence: Evidence from the Adolescent Brain Cognitive Development (ABCD) Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:87001. [PMID: 39106155 DOI: 10.1289/ehp13427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/09/2024]
Abstract
BACKGROUND Exposure to high levels of fine particulate matter (PM) with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ) via air pollution may be a risk factor for psychiatric disorders during adulthood. Yet few studies have examined associations between exposure and the trajectory of symptoms across late childhood and early adolescence. OBJECTIVE The current study evaluated whether PM 2.5 exposure at 9-11 y of age affects both concurrent symptoms as well as the longitudinal trajectory of internalizing and externalizing behaviors across the following 3 y. This issue was examined using multiple measures of exposure and separate measures of symptoms of internalizing disorders (e.g., depression, anxiety) and externalizing disorders (e.g., conduct disorder), respectively. METHODS In a sample of more than 10,000 youth from the Adolescent Brain Cognitive Development (ABCD) Study, we used a dataset of historical PM 2.5 levels and growth curve modeling to evaluate associations of PM 2.5 exposure with internalizing and externalizing symptom trajectories, as assessed by the Child Behavioral Check List. Three distinct measures of PM 2.5 exposure were investigated: annual average concentration during 2016, number of days in 2016 above the US Environmental Protection Agency (US EPA) 24-h PM 2.5 standards, and maximum 24-h concentration during 2016. RESULTS At baseline, higher number of days with PM 2.5 levels above US EPA standards was associated with higher parent-reported internalizing symptoms in the same year. This association remained significant up to a year following exposure and after controlling for PM 2.5 annual average, maximum 24-h level, and informant psychopathology. There was also evidence of an association between PM 2.5 annual average and externalizing symptom levels at baseline in females only. DISCUSSION Results suggested PM 2.5 exposure during childhood is associated with higher symptoms of internalizing and externalizing disorders at the time of exposure and 1 y later. In addition, effects of PM 2.5 exposure on youth internalizing symptoms may be most impacted by the number of days of exposure above US EPA standards in comparison with annual average and maximum daily exposure. https://doi.org/10.1289/EHP13427.
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Affiliation(s)
- Harry R Smolker
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, Colorado, USA
| | - Colleen E Reid
- Department of Geography, University of Colorado Boulder, Boulder, Colorado, USA
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, Colorado, USA
| | - Naomi P Friedman
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA
| | - Marie T Banich
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA
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Bai L, Wang K, Liu D, Wu S. Potential Early Effect Biomarkers for Ambient Air Pollution Related Mental Disorders. TOXICS 2024; 12:454. [PMID: 39058106 PMCID: PMC11280925 DOI: 10.3390/toxics12070454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 06/18/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024]
Abstract
Air pollution is one of the greatest environmental risks to health, with 99% of the world's population living where the World Health Organization's air quality guidelines were not met. In addition to the respiratory and cardiovascular systems, the brain is another potential target of air pollution. Population- and experiment-based studies have shown that air pollution may affect mental health through direct or indirect biological pathways. The evidence for mental hazards associated with air pollution has been well documented. However, previous reviews mainly focused on epidemiological associations of air pollution with some specific mental disorders or possible biological mechanisms. A systematic review is absent for early effect biomarkers for characterizing mental health hazards associated with ambient air pollution, which can be used for early warning of related mental disorders and identifying susceptible populations at high risk. This review summarizes possible biomarkers involved in oxidative stress, inflammation, and epigenetic changes linking air pollution and mental disorders, as well as genetic susceptibility biomarkers. These biomarkers may provide a better understanding of air pollution's adverse effects on mental disorders and provide future research direction in this arena.
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Affiliation(s)
- Lijun Bai
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi’an Jiaotong University), Ministry of Education, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi’an 710061, China
| | - Kai Wang
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi’an Jiaotong University), Ministry of Education, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi’an 710061, China
| | - Dandan Liu
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi’an Jiaotong University), Ministry of Education, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi’an 710061, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi’an Jiaotong University), Ministry of Education, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi’an 710061, China
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Zhang X, Tang J, Wang Y, Yang W, Wang X, Zhang R, Yang J, Lu W, Wang F. Visual environment in schools and student depressive symptoms: Insights from a prospective study across multiple cities in eastern China. ENVIRONMENTAL RESEARCH 2024; 258:119490. [PMID: 38925465 DOI: 10.1016/j.envres.2024.119490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/24/2024] [Accepted: 06/22/2024] [Indexed: 06/28/2024]
Abstract
OBJECTIVE To investigate the effects of the school visual environment on depressive symptoms in children and adolescents based on cohort study in eastern China. The school visual environment-related indicators included in this study comprise personal factors (visual impairment) and school-related factors (classroom lighting, school green spaces and school air quality). METHOD The follow-up cohort comprises 15,348 students from 283 primary and secondary schools in eastern China. This represents the one-year outcomes of a school-based myopia-mental health cohort study. Data collection includes basic demographics (age, gender, region, etc.), physical examination indicators, behavioral indicators, and school visual environment-related indicators. RESULT After a one-year follow-up, we found that compared to the more severe vision impairment group (≤4.0), healthy vision group (≥5.0) had a positive effect against the occurrence of depressive symptoms during consecutive follow-ups, with an RR value of 0.61 (95% CI: 0.57-0.66). Higher values of blackboard illumination appear to be associated with greater positive effects, with an RR (Q75%∼Q100% range) value of 0.87(95% CI: 0.81-0.93). School green spaces seem to exhibit relatively good positive effects when in the Q25%∼Q75% range. The combination of physical activity (Weekly high-intensity exercise) with school air quality(PM2.5≤50%)showed a better positive effect, with an RR value of 0.51(95%CI:0.48-0.55). CONCLUSION When addressing students' depressive symptoms, it is crucial to improve the visual environment both at the school level and in students' personal level. Paying appropriate attention to modifiable behaviors, like regular participation in high-intensity exercise sessions, can help alleviate students' depressive symptoms.
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Affiliation(s)
- Xiyan Zhang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China; School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jiawen Tang
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yan Wang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Wenyi Yang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xin Wang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Ran Zhang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jie Yang
- School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Wei Lu
- School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Mental Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
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Radua J, De Prisco M, Oliva V, Fico G, Vieta E, Fusar-Poli P. Impact of air pollution and climate change on mental health outcomes: an umbrella review of global evidence. World Psychiatry 2024; 23:244-256. [PMID: 38727076 PMCID: PMC11083864 DOI: 10.1002/wps.21219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/13/2024] Open
Abstract
The impact of air pollution and climate change on mental health has recently raised strong concerns. However, a comprehensive overview analyzing the existing evidence while addressing relevant biases is lacking. This umbrella review systematically searched the PubMed/Medline, Scopus and PsycINFO databases (up to June 26, 2023) for any systematic review with meta-analysis investigating the association of air pollution or climate change with mental health outcomes. We used the R metaumbrella package to calculate and stratify the credibility of the evidence according to criteria (i.e., convincing, highly suggestive, suggestive, or weak) that address several biases, complemented by sensitivity analyses. We included 32 systematic reviews with meta-analysis that examined 284 individual studies and 237 associations of exposures to air pollution or climate change hazards and mental health outcomes. Most associations (n=195, 82.3%) involved air pollution, while the rest (n=42, 17.7%) regarded climate change hazards (mostly focusing on temperature: n=35, 14.8%). Mental health outcomes in most associations (n=185, 78.1%) involved mental disorders, followed by suicidal behavior (n=29, 12.4%), access to mental health care services (n=9, 3.7%), mental disorders-related symptomatology (n=8, 3.3%), and multiple categories together (n=6, 2.5%). Twelve associations (5.0%) achieved convincing (class I) or highly suggestive (class II) evidence. Regarding exposures to air pollution, there was convincing (class I) evidence for the association between long-term exposure to solvents and a higher incidence of dementia or cognitive impairment (odds ratio, OR=1.139), and highly suggestive (class II) evidence for the association between long-term exposure to some pollutants and higher risk for cognitive disorders (higher incidence of dementia with high vs. low levels of carbon monoxide, CO: OR=1.587; higher incidence of vascular dementia per 1 μg/m3 increase of nitrogen oxides, NOx: hazard ratio, HR=1.004). There was also highly suggestive (class II) evidence for the association between exposure to airborne particulate matter with diameter ≤10 μm (PM10) during the second trimester of pregnancy and the incidence of post-partum depression (OR=1.023 per 1 μg/m3 increase); and for the association between short-term exposure to sulfur dioxide (SO2) and schizophrenia relapse (risk ratio, RR=1.005 and 1.004 per 1 μg/m3 increase, respectively 5 and 7 days after exposure). Regarding climate change hazards, there was highly suggestive (class II) evidence for the association between short-term exposure to increased temperature and suicide- or mental disorders-related mortality (RR=1.024), suicidal behavior (RR=1.012), and hospital access (i.e., hospitalization or emergency department visits) due to suicidal behavior or mental disorders (RR=1.011) or mental disorders only (RR=1.009) (RR values per 1°C increase). There was also highly suggestive (class II) evidence for the association between short-term exposure to increased apparent temperature (i.e., the temperature equivalent perceived by humans) and suicidal behavior (RR=1.01 per 1°C increase). Finally, there was highly suggestive (class II) evidence for the association between the temporal proximity of cyclone exposure and severity of symptoms of post-traumatic stress disorder (r=0.275). Although most of the above associations were small in magnitude, they extend to the entire world population, and are therefore likely to have a substantial impact. This umbrella review classifies and quantifies for the first time the global negative impacts that air pollution and climate change can exert on mental health, identifying evidence-based targets that can inform future research and population health actions.
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Affiliation(s)
- Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Michele De Prisco
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Vincenzo Oliva
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Giovanna Fico
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Outreach and Support in South-London (OASIS) service, South London and Maudlsey NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
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10
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Bjørklund G, Semenova Y. Serum Levels of Cortisol and Adrenocorticotropic Hormone and their Association with Depression in Environmentally Exposed Populations in Kazakhstan. Mol Neurobiol 2024; 61:3715-3723. [PMID: 38010559 DOI: 10.1007/s12035-023-03780-3] [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: 08/24/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023]
Abstract
This study aimed to investigate the serum levels of cortisol and adrenocorticotropic hormone (ACTH) and the prevalence of depression in the environmentally exposed population of Kazakhstan compared to the environmentally unexposed populations. Additionally, the study aimed to evaluate the capacity of cortisol and ACTH to predict moderate and severe depression in populations exposed to environmental risk factors. This cross-sectional study included 1881 nominally healthy individuals aged between 18-52 years who were lifelong residents of Abay, Borodulikha, Ust-Kamenogorsk, Aksay, and Berezovka settlements, which are characterized by exposure to various types of environmental pollutants. Comparisons were made with residents of control sites with no known industrial or radioactive pollution (Uralsk and Kurchum). The Russian version of the PHQ-9 questionnaire was used to evaluate the presence and severity of depression. Serum cortisol levels were measured using solid-phase chemiluminescent immunoassay, while serum ACTH levels were tested with chemiluminescent assays. Populations exposed to environmental pollution from condensate gas extraction (Berezovka and Aksay) had higher median serum cortisol concentrations. However, the populations of the two controls had the highest median serum levels of ACTH. The median total PHQ-9 scores were the lowest in residents of control sites, which also had the highest proportion of individuals with no or minimal depression. Both serum cortisol and ACTH identified moderate, moderately severe, and severe depression. The findings highlight the potential impact of environmental pollution on stress hormone levels and depression, calling for further research and public health interventions to address this issue.
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Affiliation(s)
- Geir Bjørklund
- Council for Nutritional and Environmental Medicine (CONEM), Toften 24, 8610, Mo I Rana, Norway.
- Semey Medical University, Semey, Kazakhstan.
| | - Yuliya Semenova
- Nazarbayev University School of Medicine, Astana, Kazakhstan
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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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Elser H, Kruse CFG, Schwartz BS, Casey JA. The Environment and Headache: a Narrative Review. Curr Environ Health Rep 2024; 11:184-203. [PMID: 38642284 DOI: 10.1007/s40572-024-00449-4] [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: 04/12/2024] [Indexed: 04/22/2024]
Abstract
PURPOSE OF REVIEW In this narrative review, we summarize the peer-reviewed literature published between 2017 and 2022 that evaluated ambient environmental risk factors for primary headache disorders, which affect more than half of the population globally. Primary headache disorders include migraine, tension-type headache (TTH), and trigeminal and autonomic cephalalgias (TAC). RECENT FINDINGS We identified 17 articles that met the inclusion criteria via PubMed or Google Scholar. Seven studies (41%) relied on data from US populations. The remaining studies were conducted in China, Taiwan, Germany, Ghana, Japan, the Netherlands, South Korea, and Turkey. Air pollution was the most frequently assessed environmental risk factor. Most studies were cross-sectional and focused on all-cause or migraine headaches; one study included TTH, and none included TAC. Short-term exposure to fine particulate matter (PM2.5) was not consistently associated with headache endpoints, but long-term exposure to PM2.5 was associated with migraine headache prevalence and severity across multiple studies. Elevated ambient temperature, changes in weather, oil and gas well exposure, and less natural greenspace, but not noise pollution, were also associated with headache. No studies considered water pollution, metal exposure, ultrafine particulate matter, or wildfire smoke exposure. There is a need for ongoing research focused on headache and the environment. Study designs with the greatest explanatory power may include longitudinal studies that capture the episodic nature of headache and case-crossover analysis, which control for time-invariant individual-level confounders by design. There is also a clear need for research that considers comorbid psychiatric illness and socioeconomic position as powerful modifiers of the effect of the environment on headache.
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Affiliation(s)
- Holly Elser
- Department of Neurology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
| | - Caroline F G Kruse
- Department of Neurology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Brian S Schwartz
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Joan A Casey
- Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA, USA
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13
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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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14
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Prina E, Tedeschi F, Lasalvia A, Salazzari D, Latini S, Rabbi L, Marando F, van Rijn E, Wollgast J, Pisoni E, Bessagnet B, Beauchamp M, Amaddeo F. Relationship between Environmental Conditions and Utilisation of Community-Based Mental Health Care: A Comparative Study before and during the COVID-19 Pandemic in Italy. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:661. [PMID: 38928908 PMCID: PMC11203518 DOI: 10.3390/ijerph21060661] [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: 04/09/2024] [Revised: 05/11/2024] [Accepted: 05/21/2024] [Indexed: 06/28/2024]
Abstract
(1) Background: Lower socioeconomic status increases psychiatric service use, exacerbated during the COVID-19 pandemic by environmental stressors like air pollution and limited green spaces. This study aims to assess the influence of sociodemographic and environmental factors on mental health service utilisation. (2) Methods: This retrospective study uses an administrative database focusing on community mental health services in Northeast Italy. Spatial and temporal analyses were used to address space-time dependencies. (3) Results: Findings showed that sociodemographic factors like living in rented apartments and lower education levels predicted higher mental health service use. Environmental factors, such as elevated NO2 levels and, before the pandemic, lower solar radiation and tree cover, correlated with increased service utilisation. COVID-19 reduced most of the pre-existing differences associated with these factors across census blocks with a different composition of sociodemographic and environmental factors. (4) Conclusions: These findings contribute to a better understanding of the impact of the environment on public mental health.
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Affiliation(s)
- Eleonora Prina
- Department of Neurosciences, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, 37134 Verona, Italy; (F.T.); (A.L.); (D.S.); (S.L.); (L.R.); (F.A.)
| | - Federico Tedeschi
- Department of Neurosciences, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, 37134 Verona, Italy; (F.T.); (A.L.); (D.S.); (S.L.); (L.R.); (F.A.)
| | - Antonio Lasalvia
- Department of Neurosciences, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, 37134 Verona, Italy; (F.T.); (A.L.); (D.S.); (S.L.); (L.R.); (F.A.)
| | - Damiano Salazzari
- Department of Neurosciences, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, 37134 Verona, Italy; (F.T.); (A.L.); (D.S.); (S.L.); (L.R.); (F.A.)
| | - Sara Latini
- Department of Neurosciences, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, 37134 Verona, Italy; (F.T.); (A.L.); (D.S.); (S.L.); (L.R.); (F.A.)
| | - Laura Rabbi
- Department of Neurosciences, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, 37134 Verona, Italy; (F.T.); (A.L.); (D.S.); (S.L.); (L.R.); (F.A.)
| | - Federica Marando
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (F.M.); (E.v.R.); (J.W.); (E.P.); (B.B.); (M.B.)
| | - Elaine van Rijn
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (F.M.); (E.v.R.); (J.W.); (E.P.); (B.B.); (M.B.)
| | - Jan Wollgast
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (F.M.); (E.v.R.); (J.W.); (E.P.); (B.B.); (M.B.)
| | - Enrico Pisoni
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (F.M.); (E.v.R.); (J.W.); (E.P.); (B.B.); (M.B.)
| | - Bertrand Bessagnet
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (F.M.); (E.v.R.); (J.W.); (E.P.); (B.B.); (M.B.)
| | - Maxime Beauchamp
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (F.M.); (E.v.R.); (J.W.); (E.P.); (B.B.); (M.B.)
| | - Francesco Amaddeo
- Department of Neurosciences, Biomedicine and Movement Science, Section of Psychiatry, University of Verona, 37134 Verona, Italy; (F.T.); (A.L.); (D.S.); (S.L.); (L.R.); (F.A.)
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15
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Zhang X, Ding L, Yang F, Qiao G, Gao X, Xiong Z, Zhu X. Association between indoor air pollution and depression: a systematic review and meta-analysis of cohort studies. BMJ Open 2024; 14:e075105. [PMID: 38719299 PMCID: PMC11086541 DOI: 10.1136/bmjopen-2023-075105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 04/18/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVES Incomplete combustion of solid fuel and exposure to secondhand smoke (SHS) are the primary causes of indoor air pollution (IAP), potentially leading to detrimental effects on individual mental health. However, current evidence regarding the association between IAP and depression remains inconclusive. This study aims to systematically investigate the evidence regarding the association between IAP and the risk of depression. DESIGN Systematic review and meta-analysis of cohort studies. DATA SOURCES Two independent reviewers searched PubMed, the Cochrane Library, Web of Science and EMBASE for available studies published up to 13 January 2024. ELIGIBILITY CRITERIA We included all cohort studies published in English that aimed to explore the relationship between IAP from solid fuel use and SHS exposure and the risk of depression. DATA EXTRACTION AND SYNTHESIS Two independent reviewers extracted data and assessed the risk of bias. The association between IAP and depression was calculated using pooled relative risk (RR) with 95% CIs. Heterogeneity was assessed using the I2 value, and the effect estimates were pooled using fixed-effects or random-effects models depending on the results of homogeneity analysis. RESULTS We included 12 articles with data from 61 217 participants. The overall findings demonstrated a significant association between IAP exposure and depression (RR=1.22, 95% CI: 1.13 to 1.31), although with substantial heterogeneity (I2=75%). Subgroup analyses based on pollutant type revealed that IAP from solid fuel use was associated with a higher risk of depression (RR=1.20, 95% CI: 1.13 to 1.26; I2=62%; 5 studies, 36 768 participants) than that from SHS exposure (RR=1.11, 95% CI: 0.87 to 1.41; I2=80%; 7 studies, 24 449 participants). In terms of fuel use, the use of solid fuel for cooking (RR: 1.23, 95% CI: 1.16 to 1.31; I2=58%; 4 studies, 34 044 participants) and heating (RR 1.15, 95% CI: 1.04 to 1.27; I2=65%; 3 studies, 24 874 participants) was associated with increased depression risk. CONCLUSIONS The findings from this systematic review and meta-analysis of cohort studies indicated an association between exposure to IAP and depression. PROSPERO REGISTRATION NUMBER CRD42022383285.
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Affiliation(s)
| | - Linlin Ding
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Fen Yang
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Guiyuan Qiao
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Xiaolian Gao
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Zhenfang Xiong
- School of Nursing and Health Management, Wuhan Donghu University, Wuhan, China
| | - Xinhong Zhu
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
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16
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Feng Y, Liu X, Zhang X, Zhao X, Chang H, Ouyang F, Yu Z, Gao Z, Zhang H. Global air pollution exposure and congenital anomalies: an updated systematic review and meta-analysis of epidemiological studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:2333-2352. [PMID: 37610216 DOI: 10.1080/09603123.2023.2246383] [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: 02/06/2023] [Accepted: 08/07/2023] [Indexed: 08/24/2023]
Abstract
A systematic review and meta-analysis was conducted to evaluate recent epidemiological evidence on the association of air pollution with congenital anomalies (CAs). Of 11,014 records, 49 were finally included in this meta-analysis. Per 10 μg/m3 increase in air pollutant, PM10 exposure during the 1st month of pregnancy and at the first trimester (T1) was associated with increased overall CAs. Further, exposure to PM10 was associated with congenital heart disease (OR = 1.055, 95% CI: 1.035, 1.074) and patent ductus arteriosus (OR = 1.094, 95% CI: 1.020, 1.168) at T1, with chromosomal anomalies during the entire pregnancy and with nervous system anomalies when exposure occurred 3 months prior to pregnancy, during the 1st, 2nd months of pregnancy and at T1. Besides, a significant association with overall CAs was observed for a combined exposure of PM10 and SO2 during the 1st month of gestation (OR: 1.101, 95% CI: 1.023, 1.180). A combined exposure of PM10 and CO was also associated with tetralogy of Fallot during 3-8 weeks of gestation (OR: 1.016, 95% CI: 1.005, 1.027). No significant associations were observed between PM2.5, NO2, and O3 exposure and CAs.
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Affiliation(s)
- Yang Feng
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xinxin Liu
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- Clinical Nutrition Department, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- Clinical Nutrition Department, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- Clinical Nutrition Department, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fan Ouyang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zengli Yu
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhan Gao
- Clinical Nutrition Department, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huanhuan Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, China
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17
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Mei Y, Christensen GM, Li Z, Waller LA, Ebelt S, Marcus M, Lah JJ, Wingo AP, Wingo TS, Hüls A. Joint effects of air pollution and neighborhood socioeconomic status on cognitive decline - Mediation by depression, high cholesterol levels, and high blood pressure. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171535. [PMID: 38453069 DOI: 10.1016/j.scitotenv.2024.171535] [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: 09/29/2023] [Revised: 12/21/2023] [Accepted: 03/04/2024] [Indexed: 03/09/2024]
Abstract
Air pollution and neighborhood socioeconomic status (N-SES) are associated with adverse cardiovascular health and neuropsychiatric functioning in older adults. This study examines the degree to which the joint effects of air pollution and N-SES on the cognitive decline are mediated by high cholesterol levels, high blood pressure (HBP), and depression. In the Emory Healthy Aging Study, 14,390 participants aged 50+ years from Metro Atlanta, GA, were assessed for subjective cognitive decline using the cognitive function instrument (CFI). Information on the prior diagnosis of high cholesterol, HBP, and depression was collected through the Health History Questionnaire. Participants' census tracts were assigned 3-year average concentrations of 12 air pollutants and 16 N-SES characteristics. We used the unsupervised clustering algorithm Self-Organizing Maps (SOM) to create 6 exposure clusters based on the joint distribution of air pollution and N-SES in each census tract. Linear regression analysis was used to estimate the effects of the SOM cluster indicator on CFI, adjusting for age, race/ethnicity, education, and neighborhood residential stability. The proportion of the association mediated by high cholesterol levels, HBP, and depression was calculated by comparing the total and direct effects of SOM clusters on CFI. Depression mediated up to 87 % of the association between SOM clusters and CFI. For example, participants living in the high N-SES and high air pollution cluster had CFI scores 0.05 (95 %-CI:0.01,0.09) points higher on average compared to those from the high N-SES and low air pollution cluster; after adjusting for depression, this association was attenuated to 0.01 (95 %-CI:-0.04,0.05). HBP mediated up to 8 % of the association between SOM clusters and CFI and high cholesterol up to 5 %. Air pollution and N-SES associated cognitive decline was partially mediated by depression. Only a small portion (<10 %) of the association was mediated by HBP and high cholesterol.
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Affiliation(s)
- Yiyang Mei
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Grace M Christensen
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lance A Waller
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Stefanie Ebelt
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Michele Marcus
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - James J Lah
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA
| | - Aliza P Wingo
- Division of Mental Health, Atlanta VA Medical Center, Decatur, GA, USA; Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, USA
| | - Thomas S Wingo
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA; Department of Human Genetics, Emory University, Atlanta, GA, USA
| | - Anke Hüls
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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Qiu T, Fang Q, Zeng X, Zhang X, Fan X, Zang T, Cao Y, Tu Y, Li Y, Bai J, Huang J, Liu Y. Short-term exposures to PM 2.5, PM 2.5 chemical components, and antenatal depression: Exploring the mediating roles of gut microbiota and fecal short-chain fatty acids. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 277:116398. [PMID: 38677066 DOI: 10.1016/j.ecoenv.2024.116398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 04/20/2024] [Accepted: 04/23/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND PM2.5 and its chemical components increase health risks and are associated with depression and gut microbiota. However, there is still limited evidence on whether gut microbiota and short-chain fatty acids (SCFAs) mediate the association between PM2.5, PM2.5 chemical components, and antenatal depression. The purpose of this study was to investigate the mediating role of maternal gut microbiota in correlations between short-term exposure to PM2.5, short-term exposure to PM2.5 chemical components, and antenatal depression. METHODS Demographic information and stool samples were collected from 75 pregnant women in their third trimester. Their exposure to PM2.5 and PM2.5 chemical components was measured. Participants were divided into the non-antenatal depression group or the antenatal depression group according to the cut-off of 10 points on the Edinburgh Postnatal Depression Scale (EPDS). The gut microbiota were analyzed using the 16 S rRNA-V3/V4 gene sequence, and the concentration of PM2.5 and its chemical components was calculated using the Tracking Air Pollution in China (TAP) database. Gas chromatography-mass spectrometry was used to analyze SCFAs in stool samples. In order to assess the mediating effects of gut microbiota and SCFAs, mediation models were utilized. RESULTS There were significant differences between gut microbial composition and SCFAs concentrations between the non-antenatal depression group and the antenatal depression group. PM2.5 and its chemical components were positively associated with EPDS scores and negatively associated with genera Enterococcus and Enterobacter. Genera Candidatus_Soleaferrea (β = -7.21, 95%CI -11.00 to -3.43, q = 0.01) and Enterococcus (β = -2.37, 95%CI -3.87 to -0.87, q = 0.02) were negatively associated with EPDS scores, indicating their potential protective effects against antenatal depression. There was no significant association between SCFAs and EPDS scores. The mediating role of Enterococcus between different lagged periods of PM2.5, PM2.5 chemical component exposure, and antenatal depression was revealed. For instance, Enterococcus explained 29.23% (95%CI 2.16-87.13%, p = 0.04) of associations between PM2.5 exposure level at the day of sampling (lag 0) and EPDS scores. CONCLUSION Our study highlights that Enterococcus may mediate the associations between PM2.5, PM2.5 chemical components, and antenatal depression. The mediating mechanism through which the gut microbiota influences PM2.5-induced depression in pregnant women still needs to be further studied.
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Affiliation(s)
- Tianlai Qiu
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Qingbo Fang
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Xueer Zeng
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China; Zhongnan Hospital of Wuhan University, Wuhan 430062, China
| | - Xu Zhang
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Xiaoxiao Fan
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Tianzi Zang
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Yanan Cao
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Yiming Tu
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Yanting Li
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Jinbing Bai
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road, Atlanta, GA 30322, USA
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China.
| | - Yanqun Liu
- Center for Women's and Children's Health Research, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China.
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Park W, Jang H, Ko J, Sohn J, Noh Y, Kim SY, Koh SB, Kim C, Cho J. Physical Activity-Induced Modification of the Association of Long-Term Air Pollution Exposure with the Risk of Depression in Older Adults. Yonsei Med J 2024; 65:227-233. [PMID: 38515360 PMCID: PMC10973559 DOI: 10.3349/ymj.2023.0292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/25/2023] [Accepted: 11/20/2023] [Indexed: 03/23/2024] Open
Abstract
PURPOSE Evidence suggests that long-term air pollution exposures may induce depression; however, the influence of physical activity on this effect is unclear. We investigated modification of the associations between air pollution exposures and depression by the intensity of physical activity. MATERIALS AND METHODS This cross-sectional study included 1454 Korean adults. Depression was defined as a Geriatric Depression Scale score ≥8. Concentrations of particulate matter (PM10 and PM2.5: diameter ≤10 µm and ≤2.5 µm, respectively) and nitrogen dioxide (NO2) level at each participant's residential address were estimated. Based on metabolic equivalents, physical activity intensity was categorized as inactive, minimally active, or health-enhancing physical activity (HEPA). RESULTS Each 1-part per billion (ppb) NO2 concentration increase was significantly associated with a 6% [95% confidence interval (CI), 4%-8%] increase in depression risk. In older adults (≥65 years), a 1-ppb NO2 increase was associated (95% CI) with a 4% (1%-7%), 9% (5%-13%), and 21% (9%-33%) increase in depression risk in the inactive, minimally active, and HEPA groups, respectively. Compared with the inactive group, the minimally active (p=0.039) and HEPA groups (p=0.004) had higher NO2 exposure-associated depression risk. Associations of PM10 and PM2.5 with depression did not significantly differ by the intensity of physical activity. CONCLUSION We suggest that older adults who vigorously exercise outdoors may be susceptible to air pollution-related depression.
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Affiliation(s)
- Woongbi Park
- Department of Public Health, Yonsei University College of Medicine, Seoul, Korea
| | - Heeseon Jang
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Juyeon Ko
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jungwoo Sohn
- Department of Preventive Medicine, Jeonbuk National University Medical School, Jeonju, Korea
| | - Young Noh
- Department of Neurology, Gachon University Gil Medical Center, Incheon, Korea
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Sang-Baek Koh
- Department of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
- Institute for Environmental Research, Yonsei University College of Medicine, Seoul, Korea
- Institute of Human Complexity and Systems Science, Yonsei University, Incheon, Korea
| | - Jaelim Cho
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
- Institute for Environmental Research, Yonsei University College of Medicine, Seoul, Korea
- Institute of Human Complexity and Systems Science, Yonsei University, Incheon, Korea.
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Zijlema W, Cerin E, Cirach M, Bartoll X, Borrell C, Dadvand P, Nieuwenhuijsen MJ. Cities and mental health: The role of the built environment, and environmental and lifestyle factors in Barcelona. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 346:123559. [PMID: 38382733 DOI: 10.1016/j.envpol.2024.123559] [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: 09/06/2023] [Revised: 01/26/2024] [Accepted: 02/10/2024] [Indexed: 02/23/2024]
Abstract
Built environment characteristics and related environmental exposures and behaviors have been, separately, implicated in the development of poor mental health. However, it is unclear how these factors act together in relation to mental health. We studied these factors simultaneously to evaluate the impact of the built environment, and the mediating role of environmental exposures and physical activity, on mental health, while also studying moderation by sex, age, and length of residence. We used a cross-sectional population-based sample of 3145 individuals aged 15-97 years from Barcelona, Spain. Time spent walking and mental health status were assessed with validated questionnaires, administered through a face-to-face interview. We characterized the built environment (e.g., building, population and intersection density and green space), road traffic noise, and ambient air pollution at the residential level using land cover maps, remote sensing, noise maps and land use regression models. Adjusted regression models accounting for spatial clustering were analyzed to study associations between built environment attributes and mental health, and mediation and moderation effects. Density attributes were directly or indirectly, through air pollution and less consistently through walking, associated with poor mental health. Green space indicators were associated with lower prevalence of poor mental health, partly through lower air pollution exposure and more walking. In some cases, these associations differed by sex, age or length of residence. Non-linear associations of density indicators with environmental exposures, and of particulate matter with poor mental health indicated threshold effects. We conclude that living in dense areas with high air pollution concentrations was associated with poor mental health. On the other hand, green areas with lower air pollution concentrations were protective against poor mental health. Greater urban density might benefit health, but might only do so when air pollution concentrations are low.
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Affiliation(s)
- Wilma Zijlema
- Barcelona Institute for Global Health, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029, Madrid, Spain; GGD Drenthe, Mien Ruysweg 1, 9408 KA, Assen, the Netherlands
| | - Ester Cerin
- Mary MacKillop Institute for Health Research (MMIHR), Australian Catholic University (ACU), 5/215 Spring St, Melbourne, VIC, 3000, Australia
| | - Marta Cirach
- Barcelona Institute for Global Health, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029, Madrid, Spain
| | - Xavier Bartoll
- Agència de Salut Pública de Barcelona, Plaça Lesseps 1, 08023, Barcelona, Spain
| | - Carme Borrell
- Agència de Salut Pública de Barcelona, Ciber of Epidemiology and Public Health, Plaça Lesseps 1, 08023, Barcelona, Spain
| | - Payam Dadvand
- Barcelona Institute for Global Health, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029, Madrid, Spain
| | - Mark J Nieuwenhuijsen
- Barcelona Institute for Global Health, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029, Madrid, Spain.
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Agimas MC, Adugna DG, Derseh NM, Kassaw A, Kassie YT, Abate HK, Mekonnen CK. Uptake of human papilloma virus vaccine and its determinants among females in East Africa: a systematic review and meta-analysis. BMC Public Health 2024; 24:842. [PMID: 38500046 PMCID: PMC10949808 DOI: 10.1186/s12889-024-18141-5] [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: 06/02/2023] [Accepted: 02/17/2024] [Indexed: 03/20/2024] Open
Abstract
INTRODUCTION Cervical cancer is the most common malignant tumor among women. It is the main cause of death among women in sub-Saharan African countries. Particularly, the incidence and mortality rates are highest in East Africa. Even though the burden of human papilloma virus-related cervical cancer is high in East Africa, there is no conclusive evidence about the prevalence of human papilloma virus vaccine uptake and its predictors. OBJECTIVE To assess the pooled prevalence of human papilloma virus vaccine uptake and its determinants in East Africa. METHOD Eligible articles were searched on PubMed, Embase, Scopus, Cochrane Library, Google Scholar, and Google. Those articles incorporating the outcome of interest, both analytical and descriptive study designs, and published or unpublished articles at any time were included. Keywords and Medical Subjects Heading terms or synonyms of human papilloma virus vaccine and Boolean operators were used to retrieve the articles. To assure the quality of articles, Joana Brigg's Institute critical appraisal checklist for cross-sectional studies was used. Sensitivity analysis was conducted to assess the heterogeneity among the studies, and a random effect model was used to analyze the pooled effect size. RESULT A total of 29 articles were included, and the pooled prevalence of HPV vaccine uptake in East Africa was 35% (95% CI: 26-45%). Good knowledge (OR = 1.6, 95%CI; 1.43-1.8), positive attitude (OR = 2.54, 95% CI; 2.13-3.03), ever heard about HPV vaccine (OR = 1.41, 95% CI; 1.03-1.94), mother educational status above college (OR = 1.84, 95%CI; 1.03-3.31), middle wealth index (OR = 1.33, 95%CI; 1.04-1.7), ≥ 9 family size (OR = 0.76, 95%CI; 0.68-0.98), availability of promotion (OR = 2.53, 95%CI: 1.51-4.26), availability of adequate vaccine (OR = 4.84, 95%CI; 2.9-8.08), outreach vaccination practice (OR = 1.47, 95%CI; 1.02-2.12) and family support (OR = 4.3, 95% CI; 2.98-6.21) were the significant factors for the uptake of human papilloma virus vaccine. CONCLUSION As compared to the global strategic plan, the pooled prevalence of HPV vaccine uptake in east Africa was low. The uptake of the HPV vaccine was higher among adolescents than youths. Knowledge about the HPV vaccine, attitude towards the HPV vaccine, ever hearing about the HPV vaccine, residence, mother's educational status, mother's occupational status, wealth index, and family size were the significant determinants of HPV vaccine uptake. Therefore, we recommend focusing on awareness creation and behavioral change to expand the uptake of vaccines in East Africa.
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Affiliation(s)
- Muluken Chanie Agimas
- Department of Epidemiology and Biostatistics, Institute of public health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
| | - Dagnew Getnet Adugna
- Department of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Nebiyu Mekonnen Derseh
- Department of Epidemiology and Biostatistics, Institute of public health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Amare Kassaw
- Department of pediatric health nursing, college health science, Debre Tabor University, Debre Tabor, Ethiopia
| | - Yohannes Tesfahun Kassie
- Department of Emergency and critical care nursing, college of health science, Debre Tabor University, Debre Tabor, Ethiopia
| | - Hailemichael Kindie Abate
- Department of medical nursing, school of Nursing, College of Medicine and health science, University of Gondar, Gondar, Ethiopia
| | - Chilot Kassa Mekonnen
- Department of medical nursing, school of Nursing, College of Medicine and health science, University of Gondar, Gondar, Ethiopia
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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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Tang L, Liu M, Tian J. Volatile organic compounds exposure associated with depression among U.S. adults: Results from NHANES 2011-2020. CHEMOSPHERE 2024; 349:140690. [PMID: 37995973 DOI: 10.1016/j.chemosphere.2023.140690] [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: 06/18/2023] [Revised: 10/18/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023]
Abstract
Volatile organic compounds (VOCs) are important contributors to air pollution. VOCs exposure was associated with various human diseases. Depression is one of the most prevalent mental disorders and poses a serious mental health burden. Although VOCs are neurotoxic and can damage the central nervous system, the association between VOCs exposure and depression remains obscure. Based on data from the National Health and Nutrition Examination Survey, we included 5676 adult individuals and 15 major components of urinary volatile organic compound metabolites (mVOCs). We comprehensively evaluated the potential association between each single urinary mVOC exposure and depressive symptoms using binary logistic and restricted cubic spline regression, whereas the weighted quantile sum regression and least absolute shrinkage and selection operator regression model were used to explore the mixture co-exposure association. The results indicated significantly higher mean concentrations of the 11 urinary mVOC components in the depression group than that in the non-depression group. And 12 mVOC components had a significantly positive association with depression. The overall effect of all 15 mVOCs components was also significantly positive. The corresponding odds ratio was 1.56 (95%CI: 1.2-2.03) in the categorical variable model and the regression coefficient was 0.36 (95%CI: 0.12-0.6) in the numerical variable model. Five urinary mVOCs (URXCYM, URXPHG, URX34 M, URXMB3, and URXAMC) were identified as the most relevant components associated with depression, with 89.06% total weights in the categorical variable model and 89.39% in the numerical variable model. The mVOCs were the biomarkers of VOCs, their concentrations in urine could specifically represent the contents of their metabolic parents in the human body. Considering that the metabolic parents of the above five mVOCs were predominantly acrylonitrile, toluene, styrene, acrylamide, 1,3-Butadiene, and xylenes, our results further indicated that exposure to these VOCs was closely related to depression, and more attention should be paid to the mental health risks of VOCs exposure.
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Affiliation(s)
- Liwei Tang
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Min Liu
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China; Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China
| | - Jing Tian
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China.
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Tan H, Wang W. Letter to: Effect of educational interventions on level of epilepsy knowledge in children with epilepsy and parents: Systematic review and meta-analysis. J Clin Nurs 2024; 33:772-773. [PMID: 37731251 DOI: 10.1111/jocn.16863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/22/2023]
Affiliation(s)
- Hongli Tan
- Department of Pediatrics, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China
| | - Wei Wang
- Department of Pediatrics, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China
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Sun Z, Han Z, Zhu D. How does air pollution threaten mental health? Protocol for a machine-learning enhanced systematic map. BMJ Open 2024; 14:e071209. [PMID: 38245011 PMCID: PMC10806688 DOI: 10.1136/bmjopen-2022-071209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 11/28/2023] [Indexed: 01/22/2024] Open
Abstract
INTRODUCTION Air pollution exposure has influenced a broad range of mental health conditions. It has attracted research from multiple disciplines such as biomedical sciences, epidemiology, neurological science, and social science due to its importance for public health, with implications for environmental policies. Establishing and identifying the causal and moderator effects is challenging and is particularly concerning considering the different mental health measurements, study designs and data collection strategies (eg, surveys, interviews) in different disciplines. This has created a fragmented research landscape which hinders efforts to integrate key insights from different niches, and makes it difficult to identify current research trends and gaps. METHOD AND ANALYSIS This systematic map will follow the Collaboration for Environmental Evidence's guidelines and standards and Reporting Standards for Systematic Evidence Syntheses guidelines. Different databases and relevant web-based search engines will be used to collect the relevant literature. The time period of search strategies is conducted from the inception of the database until November 2022. Citation tracing and backward references snowballing will be used to identify additional studies. Data will be extracted by combining of literature mining and manual correction. Data coding for each article will be completed by two independent reviewers and conflicts will be reconciled between them. Machine learning technology will be applied throughout the systematic mapping process. Literature mining will rapidly screen and code the numerous available articles, enabling the breadth and diversity of the expanding literature base to be considered. The systematic map output will be provided as a publicly available database. ETHICS AND DISSEMINATION Primary data will not be collected and ethical approval is not required in this study. The findings of this study will be disseminated through a peer-reviewed scientific journal and academic conference presentations.
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Affiliation(s)
- Zhuanlan Sun
- High-Quality Development Evaluation Institute, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Zhe Han
- School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Demi Zhu
- School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China
- China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, China
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Ge L, Liu J, Kang X, Wang W, Zhang D. Association of serum individual and mixed aldehydes with depressive symptoms in the general population: A machine learning study. J Affect Disord 2024; 345:8-17. [PMID: 37865348 DOI: 10.1016/j.jad.2023.10.123] [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: 08/10/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND Humans have many opportunities to be exposed to aldehydes which have potential mechanisms for causing depression. We aimed to explore the relationships between serum individual and mixed aldehydes with depressive symptoms in general population. METHODS The data was extracted from the National Health and Nutrition Examination Survey 2013-2014. Depressive symptoms were assessed by Patient Health Questionnaire-9. Weighted binomial logistic regression and Bayesian kernel machine regression (BKMR) model were used to explore the association of six individual aldehyde and mixed aldehydes with depressive symptoms, respectively. Sex stratification analysis and sensitivity analysis were conducted. RESULTS A total of 701 participants were included. We found a positive association between the highest (Q4) versus lowest quartile (Q1) of butyraldehyde with depressive symptoms (OR: 2.86, 95 % CI: 1.22-6.68), and a negative association between the Q3 versus Q1 of benzaldehyde (0.21, 0.07-0.60) and isopentanaldehyde (0.28, 0.08-0.90) with depressive symptoms in multivariate-adjusted model. The mixed aldehydes were positively associated with depressive symptoms using BKMR model, and butyraldehyde and heptanaldehyde were the dominant aldehydes. Several aldehydes, such as butyraldehyde and benzaldehyde, interacted with each other in their effects on depressive symptoms. The results of gender stratification analysis showed that butyraldehyde was the major contributor to the total effect of aldehydes on depressive symptoms in males, while heptanaldehyde was the dominant aldehyde in females. LIMITATIONS Causality cannot be inferred in this cross-sectional study. CONCLUSIONS Our study indicated that mixed aldehydes can increase the risk of depressive symptoms, of which butyraldehyde and heptanaldehyde were the major contributing aldehydes.
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Affiliation(s)
- Lin Ge
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, No. 308 Ningxia Road, Qingdao 266071, China
| | - Jin Liu
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, No. 308 Ningxia Road, Qingdao 266071, China
| | - Xiao Kang
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, No. 308 Ningxia Road, Qingdao 266071, China
| | - Weijing Wang
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, No. 308 Ningxia Road, Qingdao 266071, China.
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, No. 308 Ningxia Road, Qingdao 266071, China.
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Ma Y, Jiang Y, Guo T, Wang J, Chen L, Wei C, Ni X, Deng F, Guo X, Wu S. Short-term exposure to ambient nitrogen dioxide and increased hospitalization burden for depression in China: a multicity analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:40-49. [PMID: 36153821 DOI: 10.1080/09603123.2022.2126828] [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: 05/08/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
Evidence for the increased hospitalization burden, including admissions, expenditures and length of hospital stay (LOS) for depression attributable to ambient nitrogen dioxide (NO2) is lacking. We investigated the associations between short-term exposure to ambient NO2 and attributable admissions, hospitalization expenditures and LOS for depression in 57 Chinese cities during 2013-2017 using a well-established two-stage time-series study approach. Short-term exposure to ambient NO2 was associated with significantly increased admissions, hospitalization expenditures and LOS for depression, and the attributable fractions were 6.87% (95% CI: 2.90%, 10.65%), 7.12% (3.01%, 11.04%) and 6.12% (2.59%, 9.50%) at lag02, respectively. The projected total attributable admissions, hospitalization expenditures and LOS for depression related to ambient NO2 at the national level were 23,335 (9,863, 36,181) admissions, 318.70 (134.43, 492.21) million CNY and 539.55 (227.99, 836.99) thousand days during the study period, respectively. Short-term exposure to ambient NO2 is associated with increased hospitalization burden for depression.
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Affiliation(s)
- Yating Ma
- Institute of Social Psychology, School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yunxing Jiang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China
| | - Tongjun Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Jinxi Wang
- Shanghai Songsheng Business Consulting Co. Ltd, Shanghai, China
| | - Libo Chen
- Beijing HealthCom Data Technology Co. Ltd, Beijing, China
| | - Chen Wei
- Beijing HealthCom Data Technology Co. Ltd, Beijing, China
| | - Xiaoli Ni
- Institute of Social Psychology, School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China
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He T, Zhou L, Sun Y. Letter to the Editor: Does Minimally Invasive Surgery Provide Better Clinical or Radiographic Outcomes Than Open Surgery in the Treatment of Hallux Valgus Deformity? A Systematic Review and Meta-analysis. Clin Orthop Relat Res 2024; 482:213-214. [PMID: 37815373 PMCID: PMC10723868 DOI: 10.1097/corr.0000000000002890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 09/14/2023] [Indexed: 10/11/2023]
Affiliation(s)
- Tianda He
- Department of Bone and Joint, The First People’s Hospital of Changzhou, Changzhou, Jiangsu, PR China
| | - Liping Zhou
- Department of Bone and Joint, The First People’s Hospital of Changzhou, Changzhou, Jiangsu, PR China
| | - Yu Sun
- Department of Bone and Joint, The First People’s Hospital of Changzhou, Changzhou, Jiangsu, PR China
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Xie T, Zhang Y, Kong H, Guan L, Zhang L, Yu J, Zhu P, Ma S, Zhu DM. Association between ambient particulate matters and anhedonia among patients with depression. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:4539-4546. [PMID: 38102428 PMCID: PMC10794277 DOI: 10.1007/s11356-023-31474-9] [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: 03/17/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023]
Abstract
Recent studies have linked ambient air pollution to depression. Anhedonia is a core symptom of depression which severely impacts on prognosis. The present study aims to investigate the association of PM2.5 and PM10 exposure with anhedonia in depressed patients. A total of 538 patients with depression who were hospitalized at the Fourth People's Hospital of Hefei between June 2017 and December 2021 were included. We estimated ambient particulate matters exposure, including PM2.5 and PM10, using a satellite-based spatiotemporal model at a resolution of 1 km2. The revised Physical Anhedonia Scale (RPAS) and the revised Social Anhedonia Scale (RSAS) were evaluated. The association of ambient particulate matters and anhedonia was examined using multiple linear regression models, adjusted for potential confounders. We observed that exposure to PM2.5 were significantly associated with increased RSAS score and RPAS score, with the major effect in the 12-month exposure window (β = 1.238; 95%CI, 0.353, 2.123) and 18-month exposure window (β = 1.888; 95%CI, 0.699, 3.078), respectively. Meanwhile, PM10 levels were also significantly associated with increased RSAS score and RPAS score, with the major effect in the 18-month exposure window (β = 1.220; 95%CI, 0.439, 2) and 3-month exposure window (β = 1.602; 95%CI, 0.062, 3.143), respectively. Subgroup analysis showed that both PM2.5 and PM10 were significantly associated with anhedonia in females, patients < 40 years old, low family income group, and those who had a higher educational level. Our study suggests that long-term PM2.5 and PM10 exposure are associated with more severe anhedonia in patients with depression. These associations were different in subgroup by age, gender, family income, and educational level.
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Affiliation(s)
- Tianqin Xie
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Hefei Fourth People's Hospital, Hefei, 230022, China
| | - Yu Zhang
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Hefei Fourth People's Hospital, Hefei, 230022, China
| | - Hui Kong
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Hefei Fourth People's Hospital, Hefei, 230022, China
| | - Lianzi Guan
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Hefei Fourth People's Hospital, Hefei, 230022, China
| | - Lei Zhang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Jiakuai Yu
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Hefei Fourth People's Hospital, Hefei, 230022, China
| | - Peng Zhu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Shuangshuang Ma
- School of Nursing, Anhui Medical University, Hefei, 230032, China
| | - Dao-Min Zhu
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China.
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China.
- Hefei Fourth People's Hospital, Hefei, 230022, China.
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Ranjdoost F, Ghaffari ME, Azimi F, Mohammadi A, Fouladi-Fard R, Fiore M. Association between air pollution and sudden sensorineural hearing loss (SSHL): A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2023; 239:117392. [PMID: 37838197 DOI: 10.1016/j.envres.2023.117392] [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: 08/07/2023] [Revised: 09/23/2023] [Accepted: 10/11/2023] [Indexed: 10/16/2023]
Abstract
Recent studies have indicated that air pollution (AP) has harmful effects on hearing and ear diseases such as Sudden Sensorineural Hearing Loss (SSHL). The purpose of this study was to evaluate the impact of exposure to AP on SSHL incidence. Valid electronic databases were searched to retrieve studies published until December 1, 2022, using appropriate keywords. The result of the search was 1146 studies, and after screening according to the defined criteria, in total 8 studies were obtained. The risk of bias (ROB) in the studies and their quality were assessed. Finally, the meta-analysis with a significance level of 5% was performed. The findings revealed that the mean level of SO2, CO, NO2, and PM10 in the patient group was more than that of the control group, and p-values were 0.879, 0.144, 0.077, and 0.138, respectively. There was an indirect relation between air pollutants and SSHL, and PM2.5 showed a significant effect (p < 0.05). Given the limited research and the use of different statistical methods, more research is suggested to confirm this association and to determine the mechanisms by which AP exposure may cause SSHL.
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Affiliation(s)
- Fatemeh Ranjdoost
- Research Center for Environmental Pollutants, Department of Environmental Health Engineering, Faculty of Health, Qom University of Medical Sciences, Qom, Iran.
| | - Mohammad-Ebrahim Ghaffari
- Department of Epidemiology and Biostatistics, Faculty of Health, Qom University of Medical Sciences, Qom, Iran.
| | - Faramarz Azimi
- Environmental Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Amir Mohammadi
- Social Determinants of Health Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran; Department of Environmental Health Engineering, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran.
| | - Reza Fouladi-Fard
- Research Center for Environmental Pollutants, Department of Environmental Health Engineering, Faculty of Health, Qom University of Medical Sciences, Qom, Iran; Environmental Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Maria Fiore
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, 87-95123, Catania, Italy.
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Liu J, Zhao K, Qian T, Li X, Yi W, Pan R, Huang Y, Ji Y, Su H. Association between ambient air pollution and thyroid hormones levels: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166780. [PMID: 37660827 DOI: 10.1016/j.scitotenv.2023.166780] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/12/2023] [Accepted: 08/31/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Growing studies have focused on the effects of ambient air pollution on thyroid hormones (THs), but the results were controversial. Therefore, a systematic review and meta-analysis was conducted by pooling current evidence on this association. METHODS Four databases were searched for studies examining the associations of particulate matter [diameter ≤10 μm (PM10) or ≤2.5 μm (PM2.5)] and gaseous [sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), carbon monoxide (CO)] pollutants with THs levels. Random effects models were used to pool the changes in THs levels with increasing air pollutant concentrations. Subgroup analyses were constructed by region, design, sample size, pollutant concentrations, evaluated methods, and potential risk exposure windows. RESULTS A total of 14 studies covering 357,226 participants were included in this meta-analysis. The pooled results showed significant associations of exposure to PM2.5, PM10, NO2, SO2, and CO with decreases in free thyroxine (FT4) with percent changes (PC) ranging from -0.593 % to -3.925 %. PM2.5, NO2, and CO were negatively associated with levels of FT4/FT3 (PC: from -0.604 % to -2.975 %). In addition, results showed significant associations of PM2.5 with hypothyroxinemia and high thyroid-stimulating hormone (TSH). Subgroup analyses indicated that PM2.5 and NO2 were significantly associated with FT4 in studies of Chinese, and similar significant findings were found in studies of PM2.5 and FT4/FT3 in areas with higher concentrations of air pollutants and larger samples. PM2.5 exposure in the first trimester was found to be associated with lower FT4 levels in pregnant women. CONCLUSION Our findings suggest that exposure to air pollution is associated with changes in THs levels. Enhanced management of highly polluted areas, identification of harmful components and sources of PM, and protection from harmful exposures in early pregnancy may be of great public health importance for the population's thyroid function.
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Affiliation(s)
- Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Kefu Zhao
- Hefei Center for Disease Control and Prevention, Hefei, Anhui, China
| | - Tingting Qian
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yuee Huang
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China
| | - Yifu Ji
- Anhui Mental Health Center, Hefei, Anhui, China.
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China.
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Jeong KH, Park H, Woo HJ, Kim BK, Ryu JH, Lee S. A study on longitudinal relationship between ultrafine dust and the prevalence of depression. BMC Public Health 2023; 23:2459. [PMID: 38066458 PMCID: PMC10709957 DOI: 10.1186/s12889-023-17375-z] [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: 01/22/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Recently, the fine dust problem caused by rapid industrialization and science and technological development has emerged as a severe social issue worldwide. This also increases the interest in its effect on human life. In particular, there is a growing concern about the harm of fine dust in Korea. METHODS This study is based on the PM 2.5 data from 2017 to 2021 provided by Air Korea to estimate changes in ultrafine dust. In addition, the data from the Community Health Survey provided by the Korea Centers for Disease Control and Prevention (KCDC) from 2017 to 2021 were used to examine the effect between the change in ultra-fine dust and the prevalence of depression. A total of 229 local governments were included in the analysis. The Latent Growth Modeling was carried out to estimate the change in ultra-fine dust and the prevalence of depressions and verify the relationship between ultra-fine dust and the prevalence of depression. RESULTS The analysis result revealed that the ultra-fine dust concentration continued to decrease from 2017 to 2021. However, the depression prevalence increased from an average of 2.60% in 2017 to an average of 3.12% in 2021, suggesting the need for adequate and sufficient welfare policies for depression treatment. As a result of estimating the initial value and change rate of ultra-fine dust and depression prevalence, the higher the initial value of ultra-fine dust, the greater the decrease in ultra-fine dust. In terms of depression, the lower the initial value of the prevalence of depression, the larger the increase in depression prevalence. CONCLUSIONS This study is significant in that it revealed the strong association of the longitudinal relationship between ultra-fine dust and depression, one of the biggest issues in Korea, by utilizing large-scale longitudinal data.
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Affiliation(s)
- Kyu-Hyoung Jeong
- Department of Social Welfare, Semyung University, 65 Semyung-ro, Jecheon, 27136, Republic of Korea
| | - Hayoung Park
- Institute of Symbiotic Life-TECH, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
| | - Hyun-Jae Woo
- Seoul Metropolitan Council Health & Welfare Committee, 125 Sejong-daero, Taepyeongno 1(il)-ga, Jung-gu, Seoul, 04519, Republic of Korea
| | - Bo Kyung Kim
- Graduate School of Social Welfare, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Ju Hyun Ryu
- Interdisciplinary Graduate Program in Social Welfare Policy, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Seoyoon Lee
- Interdisciplinary Graduate Program in Social Welfare Policy, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
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Mokammel A, Malkawi M, Momeniha F, Safi HAM, Niazi S, Yousefian F, Azimi F, Naddafi K, Shamsipour M, Roostaei V, Faridi S, Hassanvand MS. Assessing capabilities of conducted ambient air pollution health effects studies in 22 Eastern Mediterranean countries to adopt air quality standards: a review. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2023; 21:295-304. [PMID: 37869598 PMCID: PMC10584797 DOI: 10.1007/s40201-023-00862-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 04/18/2023] [Indexed: 10/24/2023]
Abstract
Purpose The Eastern Mediterranean Region (EMR) countries suffer from exposure to high levels of ambient air pollutants due to dust storms and have unique climatic as well as topographic and socio-economic conditions which lead to adverse health effects on humans. The purpose of the review was to evaluate the quantity and quality of published articles on air pollution and health-based studies in 22 EMR countries to determine if they can be applied to adopting air quality standards. Methods We designed a review based on a broad search of the literature in the Scopus, PubMed, and web of science (WOS) databases published from January 1, 2000, to January 2, 2022, using combinations of the following relevant terms: air pollution, health, and EMR countries. The generic eligibility criteria for this review were based on the population, exposure, comparator, outcome, and study design (PECOS) statement. Results The search results showed that following the PRISMA approach, of 2947 identified articles, 353 studies were included in this review. The analysis of the types of studies showed that about 70% of the studies conducted in EMR countries were Health Burden Estimation studies (31%), Ecological and time trend ecological studies (23%), and cross-sectional studies (16%). Also, researchers from Iran participated in the most published relevant studies in the region 255 (~ 63%) and just 10 published documents met all the PECOS criteria. Conclusion The lack of sufficient studies which can meet the PECOS appraising criteria and the lack of professionals in this field are some of the issues that make it impossible to use as potential documents in the WHO future studies and adopt air quality standards. Supplementary Information The online version contains supplementary material available at 10.1007/s40201-023-00862-1.
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Affiliation(s)
- Adel Mokammel
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Mazen Malkawi
- Centre for Environmental Health Action (CEHA), World Health Organization (WHO), Amman, Jordan
| | - Fatemeh Momeniha
- Center for Solid Waste Research, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Heba Adel Moh’d Safi
- Faculty of Science, School of Earth and Atmospheric Sciences, Queensland University of Technology (QUT), International Laboratory for Air Quality and Health, Brisbane, 4001 Australia
| | - Sadegh Niazi
- Faculty of Science, School of Earth and Atmospheric Sciences, Queensland University of Technology (QUT), International Laboratory for Air Quality and Health, Brisbane, 4001 Australia
| | - Fatemeh Yousefian
- Department of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran
| | - Faramarz Azimi
- Environmental Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Kazem Naddafi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Mansour Shamsipour
- Department of Research Methodology and Data Analysis, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Roostaei
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Sasan Faridi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sadegh Hassanvand
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
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Ma KJ, Lin YJ, Liu CS, Tseng PY, Wang SH, Yao CY, Wang JY. Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank. BMC Public Health 2023; 23:2346. [PMID: 38012695 PMCID: PMC10683147 DOI: 10.1186/s12889-023-16764-8] [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] [Received: 06/02/2023] [Accepted: 09/14/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Most studies have focused on the risk factors, treatment, and care of affective psychosis, and several have reported a relationship between ambient air quality and this psychosis. Although an association has been reported between psychosis and genes, studies mainly explored the associations between one type of psychosis and one gene; few have identified genes related to affective psychosis. This study investigates the genetic and environmental factors of affective psychosis. METHODS In this retrospective longitudinal study, 27 604 participants aged 30-70 were selected from Taiwan Biobank. The participants' propensity scores were calculated based on their demographic information, and propensity score matching was performed to divide the participants into an experimental (i.e., affective psychosis) and control group at a 1:5 ratio. Plink was used to analyze the major and minor types of gene expression related to affective psychosis, and PM2.5 exposure was incorporated into the analyses. RESULTS According to the generalized estimating equation analysis results, 8 single nucleotide polymorphisms (SNPs) belonging to the ANK3, BDNF, CACNA1C, and GRID1 genotypes were significantly correlated with depressive disorder (P < .001), with the majority belonging to the ANK3 and CACNA1C. A total of 5 SNPs belonging to the CACNA1C, GRID1, and SIRT1 genotypes were significantly correlated with bipolar disorder (P < .001), with the majority belonging to the CACNA1C. No significant correlation was identified between ambient air pollution and affective psychosis. CONCLUSIONS CACNA1C and GRID1 are common SNP genotypes for depressive disorder and bipolar disorder and should be considered associated with affective psychosis.
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Affiliation(s)
- Kai-Jie Ma
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Yi-Ju Lin
- Department of Administration, China Medical University Hospital, Taichung, Taiwan
| | - Chiu-Shong Liu
- Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Medicine, China Medical University, Taichung, Taiwan
| | - Pei-Ying Tseng
- Department of Public Health, China Medical University, Taichung, Taiwan
- Department of Medical, Lee's General Hospital, Yuanli Town, Miaoli, Taiwan
| | - Shi-Heng Wang
- Interdisciplinary Freshmen Program of Public Health, China Medical University, Taichung, Taiwan
| | - Chi-Yu Yao
- Attending physician Department of psychiatry, An-nan hospital, Tainan, Taiwan.
| | - Jong-Yi Wang
- Department of Health Services Administration, China Medical University, Taichung, Taiwan.
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Gao X, Li J, Zhang X, Jiang W, Liao J, Yang L. Short-term ambient ozone exposure increases the risk of hospitalization with depression: a multi-city time-stratified case-crossover study. J Ment Health 2023:1-8. [PMID: 37950397 DOI: 10.1080/09638237.2023.2278102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 09/06/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Depression, the most common mental illness worldwide, has been studied and air pollution has been found to increase the risk of depression hospitalization, but research results on ozone (O3) remain limited. In this context, we investigated the relationship between short-term O3 exposure and depression-related hospital admissions (HAs). METHODS The 10,459 records of HAs for depression from medical institutions across in 9 cities, China, were collected between 1 January 2017, and 31 December 2018. Air pollutants and meteorological data was obtained from provincial ecological environment monitoring stations in the study area. Conditional Poisson regression was employed to estimate the association between O3 and hospitalizations for depression, with data stratification by sex, age, weather, and economic level. RESULTS Short-term O3 exposure was positively associated with the number of depression-related hospitalizations (Relative risk: 1.04 [95% CI: 1.02, 1.05]). O3 had a significant effect on the risk of depression-related hospitalizations on warm days (P = 0.021, Relative risk: 1.05 [1.03, 1.08]). The high gross domestic product group was more likely to be affected by O3 exposure-associated depression-related hospitalizations (P = 0.005, Relative risk: 1.03 [1.01, 1.05]). CONCLUSIONS Short-term changes to O3 exposure may increase the risk of depression related hospitalizations, especially on warm days.
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Affiliation(s)
- Xi Gao
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
- Department of Operations Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jia Li
- HEOA Group, School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Xueli Zhang
- HEOA Group, Sichuan Province Health Commission, Chengdu, Sichuan Province, China
| | - Wanyanhan Jiang
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Jiaqiang Liao
- HEOA Group, West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, China
| | - Lian Yang
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
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Arias-de la Torre J, Vilagut G, Ronaldson A, Bakolis I, Dregan A, Martín V, Martinez-Alés G, Molina AJ, Serrano-Blanco A, Valderas JM, Viana MC, Alonso J. Prevalence and variability of depressive symptoms in Europe: update using representative data from the second and third waves of the European Health Interview Survey (EHIS-2 and EHIS-3). Lancet Public Health 2023; 8:e889-e898. [PMID: 37898521 DOI: 10.1016/s2468-2667(23)00220-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/13/2023] [Accepted: 09/15/2023] [Indexed: 10/30/2023]
Abstract
BACKGROUND Assessing the prevalence of clinically relevant depressive symptoms and their possible variation by country and over time could be a valuable resource to inform the development of public health policies and preventive resources to reduce mental health burden. We aimed to assess cross-national differences in the point prevalence of clinically relevant depressive symptoms in Europe in 2018-20, and to evaluate point prevalence differences between countries and over time between 2013-15 and 2018-20. METHODS In this population-based study, data from participants in the second and third waves of the European Health Interview Survey (EHIS-2 from 2013 to 2015 and EHIS-3 from 2018 to 2020) from 30 European countries were used (n=542 580). From the total sample, 283 692 participants belonging to EHIS-3 were included in the study (52·4% women and 47·5% men). The non-response in EHIS-3 ranged by country, from 12% to 78%. Point prevalence of clinically relevant depressive symptoms was evaluated using a cutoff score of 10 or more for the 8-item version of the Patient Health Questionnaire. Crude prevalence ratios and adjusted prevalence ratios (aPRs) were obtained to assess differences in the prevalence between countries and over time within countries. FINDINGS The point prevalence of clinically relevant depressive symptoms in Europe in 2018-20 was 6·54% (95% CI 6·34-6·73), ranging across countries from 1·85% (1·53-2·17) in Greece to 10·72% (10·04-11·40) in Sweden. Compared with the other European countries, those with the lowest aPRs were Greece, Serbia, and Cyprus and those with the highest aPRs were Belgium, Slovenia, and Croatia. A small but significant increase in the prevalence between EHIS-2 and EHIS-3 was observed (aPR 1·11 [1·07-1·14]). A wide variability over time in the point prevalence within countries was observed, ranging from an aPR of 0·63 (0·54-0·74) in Hungary to 1·88 (1·53-2·31) in Slovenia. INTERPRETATION This study, based on large and representative datasets and a valid and reliable screening tool for the assessment of depression, indicates that the point prevalence of clinically relevant depressive symptoms in Europe from 2013 to 2020 remains relatively stable, with wide variability between countries. These findings could be considered a baseline for monitoring the prevalence of clinically relevant depressive symptoms in Europe, and could inform policy for the development of preventive strategies for depression both at a country and European level. FUNDING Center for Biomedical Research in Epidemiology and Public Health Network and AGAUR.
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Affiliation(s)
- Jorge Arias-de la Torre
- Care in Long Term Conditions Research Division, King's College London, London, UK; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain; Institute of Biomedicine, Universidad de León, León, Spain.
| | - Gemma Vilagut
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain; Health Services Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Amy Ronaldson
- Instiute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ioannis Bakolis
- Instiute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alex Dregan
- Instiute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Vicente Martín
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain; Institute of Biomedicine, Universidad de León, León, Spain
| | - Gonzalo Martinez-Alés
- CAUSALab, Harvard T H Chan School of Public Health, Boston, MA, USA; La Paz Research Institute, Madrid, Spain; Network Center for Biomedical Research in Mental Health, Madrid, Spain
| | - Antonio J Molina
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain; Institute of Biomedicine, Universidad de León, León, Spain
| | - Antoni Serrano-Blanco
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain; Institut de Recerca Sant Joan de Déu, Parc Sanitari Sant Joan de Déu, Barcelona, Spain
| | - Jose M Valderas
- Department of Medicine, National University of Singapore, Singapore; Department of Family Medicine, National University Health System, Singapore; Centre for Research in Health Systems Performance, National University Health System, Singapore
| | - Maria Carmen Viana
- Department of Social Medicine Post-Graduate Program in Public Health, Health Sciences Center, Universidade Federal do Espírito Santo, Vitória, Brazil
| | - Jordi Alonso
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain; Health Services Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain; Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
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Guo Y, Luo C, Cao F, Liu J, Yan J. Short-term environmental triggers of hemorrhagic stroke. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 265:115508. [PMID: 37774546 DOI: 10.1016/j.ecoenv.2023.115508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 10/01/2023]
Abstract
Hemorrhagic stroke (HS) is associated with severe morbidity and high mortality. Identifying the trigger factors for HS is critical for disease prevention. This study aimed to assess the associations between short-term environmental triggers (STETs) and HS risk. We systematically searched six databases for articles published up to September 9, 2022. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using random-effect models to evaluate the associations between STETs and the risk of HS. Heterogeneity was assessed using Cochran Q and I2 tests. A total of 63 studies were included for analysis. Of these, 40 focused on air pollutants and 23 on meteorological factors. Pooling results showed that exposure to particulate matter 2.5 (PM2.5; OR, 1.003 per 10 μg/m3; 95% CI, 1.001-1.007), sulfur dioxide (SO2; OR, 1.022 per 10 ppb; 95% CI, 1.005-1.040), and nitrogen dioxide (NO2; OR, 1.026 per 10 ppb; 95% CI, 1.004-1.047) was associated with an increase in HS risk. Moreover, exposure to PM2.5 (OR, 1.018 per 10 μg/m3; 95% CI, 1.009-1.027) and SO2 (OR, 1.102 per 10 ppb; 95% CI, 1.010-1.204) was positively associated with the risk of intracerebral hemorrhage. In addition, extreme temperature, high pressures, high and low relative humidity were potentially associated with HS risk. Targeted preventive measures to limit the effect of these air pollutants and extreme meteorological factors should be taken to reduce the HS disease burden. Further studies are warranted to verify these findings.
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Affiliation(s)
- Yuxin Guo
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan 410078, China
| | - Chun Luo
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan 410078, China
| | - Fang Cao
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan 410078, China
| | - Junyu Liu
- Department of Neurosurgery, XiangYa Hospital, Central South University, Changsha 410008, China; Department of Pharmacology, Kyoto University Graduate School of Medicine, Kyoto 606-8501, Japan.
| | - Junxia Yan
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, XiangYa School of Public Health, Central South University, Changsha 410078, China.
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Sun Y, Headon KS, Jiao A, Slezak JM, Avila CC, Chiu VY, Sacks DA, Molitor J, Benmarhnia T, Chen JC, Getahun D, Wu J. Association of Antepartum and Postpartum Air Pollution Exposure With Postpartum Depression in Southern California. JAMA Netw Open 2023; 6:e2338315. [PMID: 37851440 PMCID: PMC10585409 DOI: 10.1001/jamanetworkopen.2023.38315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/21/2023] [Indexed: 10/19/2023] Open
Abstract
Importance Women are especially vulnerable to mental health matters post partum because of biological, emotional, and social changes during this period. However, epidemiologic evidence of an association between air pollution exposure and postpartum depression (PPD) is limited. Objective To examine the associations between antepartum and postpartum maternal air pollution exposure and PPD. Design, Setting, and Participants This retrospective cohort study used data from Kaiser Permanente Southern California (KPSC) electronic health records and included women who had singleton live births at KPSC facilities between January 1, 2008, and December 31, 2016. Data were analyzed between January 1 and May 10, 2023. Exposures Ambient air pollution exposures were assessed based on maternal residential addresses using monthly averages of particulate matter less than or equal to 2.5 μm (PM2.5), particulate matter less than or equal to 10 μm (PM10), nitrogen dioxide (NO2), and ozone (O3) from spatial interpolation of monitoring station measurements. Constituents of PM2.5 (sulfate, nitrate, ammonium, organic matter, and black carbon) were obtained from fine-resolution geoscience-derived models based on satellite, ground-based monitor, and chemical transport modeling data. Main Outcomes and Measures Participants with an Edinburgh Postnatal Depression Scale score of 10 or higher during the 6 months after giving birth were referred to a clinical interview for further assessment and diagnosis. Ascertainment of PPD was defined using a combination of diagnostic codes and prescription medications. Results The study included 340 679 participants (mean [SD] age, 30.05 [5.81] years), with 25 674 having PPD (7.54%). Increased risks for PPD were observed to be associated with per-IQR increases in antepartum and postpartum exposures to O3 (adjusted odds ratio [AOR], 1.09; 95% CI, 1.06-1.12), PM10 (AOR, 1.02; 95% CI, 1.00-1.04), and PM2.5 (AOR, 1.02; 95% CI, 1. 00-1.03) but not with NO2; PPD risks were mainly associated with PM2.5 organic matter and black carbon. Overall, a higher risk of PPD was associated with O3 during the entire pregnancy and postpartum periods and with PM exposure during the late pregnancy and postpartum periods. Conclusions and Relevance The study findings suggest that long-term exposure to antepartum and postpartum air pollution was associated with higher PPD risks. Identifying the modifiable environmental risk factors and developing interventions are important public health issues to improve maternal mental health and alleviate the disease burden of PPD.
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Affiliation(s)
- Yi Sun
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine
| | | | - Anqi Jiao
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine
| | - Jeff M. Slezak
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Chantal C. Avila
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Vicki Y. Chiu
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - David A. Sacks
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon
| | - Tarik Benmarhnia
- Scripps Institution of Oceanography, University of California, San Diego
| | - Jiu-Chiuan Chen
- Departments of Population and Public Health Sciences and Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Darios Getahun
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine
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Guo X, Su W, Wang H, Li N, Song Q, Liang Q, Sun C, Liang M, Zhou Z, Song EJ, Sun Y. Short-term exposure to ambient ozone and cardiovascular mortality in China: a systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:958-975. [PMID: 35438585 DOI: 10.1080/09603123.2022.2066070] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
Air pollution is a major public health concern in China. Notwithstanding this, there is limited evidence regarding the impact of short-term exposure to ambient ozone on cardiovascular mortality in the Chinese population. Therefore, we conducted this meta-analysis to address this important question. The random-effects model was applied to pool the results from individual studies. Finally, 32 effect estimates extracted from 19 studies were pooled in this meta-analysis. The pooled relative risk for cardiovascular mortality for each 10 µg/m3 increment in ozone concentration was 1.0068 (95% CI: 1.0049, 1.0086). Ths significant positive association between ozone exposure and cardiovascular mortality was also observed in different two-pollutant models. This meta-analysis revealed that exposure to ozone was associated with an increased risk of cardiovascular mortality in China, and more efforts on controlling the population from ozone are needed to improve cardiovascular health of Chinese population.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Chenyu Sun
- Internal Medicine, AMITA Health Saint Joseph Hospital Chicago, Chicago, IL, USA
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Evelyn J Song
- Division of Hospital Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
- Chaohu Hospital of Anhui Medical University, Hefei, Anhui Province, P.R. China
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Shen LT, Ge MW, Hu FH, Jia YJ, Tang W, Zhang WQ, Zhao DY, Shen WQ, Chen HL. The connection between six common air pollution particles and adult brain tumors: a meta-analysis of 26,217,930 individuals. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:108525-108537. [PMID: 37783991 DOI: 10.1007/s11356-023-29955-y] [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: 07/06/2023] [Accepted: 09/14/2023] [Indexed: 10/04/2023]
Abstract
Environmental air pollutants (black carbon (BC), nitrogen oxides (NOx), particulate matter with diameter < 2.5 μm (PM2.5), nitrogen dioxide (NO2), particulate matter with diameter <10 μm (PM10), and ozone (O3)) are one of the major menaces to mankind's health globally. This analysis reviews the association between exposure to these air pollutants and the chance of developing brain tumors in adults (total brain tumors, malignant brain tumors, and benign brain tumors). Studies published by April 2022 were searched. Raw effect sizes were converted to standardized effect sizes per 10 μg/m3 increase. Random effect models were applied to calculate combined effect size and 95% confidence intervals (CIs) were computed. A total of 8 articles were included for meta-analysis. The pooled effect size (ES) for per 10 μg/m3 BC intake was 1.67 (95% CI: 1.25, 2.22), P = 0.449. For every 10 μg/m3 rise in NO2 concentration, ES was 1.03 (95% CI: 1.01, 1.05), P = 0.319. Meanwhile, there was a boundary association between NOx and adult brain tumors (ES and 95% CI: 1.01; 1.00, 1.01/10 μg/m3; P = 0.716). While there was no conjunction between PM2.5, PM10, O3 (PM2.5: ES and 95% CI: 1.04; 0.99, 1.08/10 μg/m3; P = 0.834; PM10: ES and 95% CI: 1.01; 0.97, 1.04/10 μg/m3; P = 0.627; O3: ES and 95% CI: 0.97; 0.94, 1.00/10 μg/m3; P = 0.253). This research shows testimony of a significant link between air pollutants and brain tumors in adults, especially when exposed to BC, NO2, and NOx. This evidence emphasizes the importance of improving air quality as part of a comprehensive approach to prevent the occurrence and deterioration of brain tumors.
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Affiliation(s)
- Lu-Ting Shen
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Meng-Wei Ge
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Fei-Hong Hu
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Yi-Jie Jia
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wen Tang
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wan-Qing Zhang
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Dan-Yan Zhao
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wang-Qin Shen
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Hong-Lin Chen
- School of Public Health, Nantong University, Nantong, Jiangsu, People's Republic of China.
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Xu J, Lan Z, Xu P, Zhang Z. The association between short-term exposure to nitrogen dioxide and hospital admission for schizophrenia: A systematic review and meta-analysis. Medicine (Baltimore) 2023; 102:e35024. [PMID: 37773873 PMCID: PMC10545286 DOI: 10.1097/md.0000000000035024] [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: 11/28/2022] [Accepted: 08/09/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Ambient air pollution has been identified as a primary risk factor for mental disorders. In recent years, the relationship between exposure to ambient nitrogen dioxide (NO2) and the risk of hospital admissions (HAs) for schizophrenia has garnered increasing scientific interest, but evidence from epidemiological studies has been inconsistent. Therefore, a systematic review and meta-analysis were conducted to comprehensively identify potential correlations. METHODS A literature search in 3 international databases was conducted before December 31, 2022. Relative risk (RR) and corresponding 95% confidence intervals (CI) were calculated to evaluate the strength of the associations. Summary effect sizes were calculated using a random-effects model due to the expected heterogeneity (I2 over 50%). RESULTS A total of ten eligible studies were included in the meta-analysis, including 1,412,860 participants. The pooled analysis found that an increased risk of HAs for schizophrenia was associated with exposure to each increase of 10 μg/m3 in NO2 (RR = 1.029, 95% CI = 1.016-1.041, P < .001). However, the heterogeneity was high for the summary estimates, reducing the credibility of the evidence. In 2-pollutant models, results for NO2 increased by 0.3%, 0.2% and 2.3%, respectively, after adjusting for PM2.5, PM10 and SO2. CONCLUSIONS This study provides evidence that NO2 exposure significantly increases the risk of hospital admission for schizophrenia. Future studies are required to clarify the potential biological mechanism between schizophrenia and NO2 exposure to provide a more definitive result.
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Affiliation(s)
- Jiating Xu
- Department of General Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Zhiyong Lan
- Department of General Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Penghao Xu
- Department of Geriatric Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Zhihua Zhang
- Department of Geriatric Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
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Rajkumar RP. Examining the Relationships between the Incidence of Infectious Diseases and Mood Disorders: An Analysis of Data from the Global Burden of Disease Studies, 1990-2019. Diseases 2023; 11:116. [PMID: 37754312 PMCID: PMC10528187 DOI: 10.3390/diseases11030116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/27/2023] [Accepted: 09/04/2023] [Indexed: 09/28/2023] Open
Abstract
Mood disorders are among the commonest mental disorders worldwide. Epidemiological and clinical evidence suggests that there are close links between infectious diseases and mood disorders, but the strength and direction of these association remain largely unknown. Theoretical models have attempted to explain this link based on evolutionary or immune-related factors, but these have not been empirically verified. The current study examined cross-sectional and longitudinal associations between the incidence of infectious diseases and mood disorders, while correcting for climate and economic factors, based on data from the Global Burden of Disease Studies, 1990-2019. It was found that major depressive disorder was positively associated with lower respiratory infections, while bipolar disorder was positively associated with upper respiratory infections and negatively associated with enteric and tropical infections, both cross-sectionally and over a period of 30 years. These results suggest that a complex, bidirectional relationship exists between these disorders. This relationship may be mediated through the immune system as well as through the gut-brain and lung-brain axes. Understanding the mechanisms that link these groups of disorders could lead to advances in the prevention and treatment of both.
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Affiliation(s)
- Ravi Philip Rajkumar
- Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry 605006, India
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Li X, Tian Y, Phillips MR, Xiao S, Zhang X, Li Z, Liu J, Li L, Zhou J, Wang X. Protocol of a prospective community-based study about the onset and course of depression in a nationally representative cohort of adults in China: the China Depression Cohort Study-I. BMC Public Health 2023; 23:1617. [PMID: 37620799 PMCID: PMC10463817 DOI: 10.1186/s12889-023-16542-6] [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: 04/23/2023] [Accepted: 08/16/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Depression is the second most important cause of disability worldwide. Reducing this major burden on global health requires a better understanding of the etiology, risk factors, and course of the disorder. With the goal of improving the prevention, recognition, and appropriate management of depressive disorders in China, the China Depression Cohort Study will establish a nationally representative sample of at least 85,000 adults (the China Depression Cohort Study-I) and 15,000 middle school students (the China Depression Cohort Study-II) and follow them over time to identify factors that influence the onset, characteristics, and course of depressive disorders. This protocol describes the China Depression Cohort Study-I. METHODS A multistage stratified random sampling method will be used to identify a nationally representative community-based cohort of at least 85,000 adults (i.e., ≥ 18 years of age) from 34 communities in 17 of mainland China's 31 provincial-level administrative regions. Baseline data collection includes 1) demographic, social and clinical data, 2) diagnostic information, 3) biological samples (i.e., blood, urine, hair), 4) brain MRI scans, and 5) environmental data (e.g., community-level metrics of climate change, air pollution, and socio-economic characteristics). Baseline findings will identify participants with or without depressive disorders. Annual reassessments will monitor potential risk factors for depression and identify incident cases of depression. Cox Proportional-Hazards Regression, Network analysis, Disease trajectory modelling, and Machine learning prediction models will be used to analyze the collected data. The study's main outcomes are the occurrence of depressive disorders; secondary outcomes include adverse behaviors (e.g., self-harm, suicide), the recurrence of depression and the incidence other mental disorders. DISCUSSION The China Depression Cohort Study-I will collect a comprehensive, nationally representative set of individual-level and community-level variables over time. The findings will reframe the understanding of depression from a 'biology-psychology-society' perspective. This perspective will improve psychiatrists' understanding of depression and, thus, promote the development of more effective subgroup-specific antidepressant drugs and other interventions based on the new biomarkers and relationships identified in the study. TRAIL REGISTRATION The protocol has been registered on the Chinese Clinical Trial Registry (No. ChiCTR2200059016).
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Affiliation(s)
- Xuting Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yusheng Tian
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Michael R Phillips
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuiyuan Xiao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaojie Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zongchang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lingjiang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jiansong Zhou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China.
| | - Xiaoping Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China.
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Zhang Y, Zhang S, Xin J, Wang S, He X, Zheng C, Li S. Short-term joint effects of ambient PM 2.5 and O 3 on mortality in Beijing, China. Front Public Health 2023; 11:1232715. [PMID: 37608983 PMCID: PMC10441666 DOI: 10.3389/fpubh.2023.1232715] [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: 06/01/2023] [Accepted: 07/03/2023] [Indexed: 08/24/2023] Open
Abstract
Introduction In recent years, air pollution caused by co-occurring PM2.5 and O3, named combined air pollution (CAP), has been observed in Beijing, China, although the health effects of CAP on population mortality are unclear. Methods We employed Poisson generalized additive models (GAMs) to evaluate the individual and joint effects of PM2.5 and O3 on mortality (nonaccidental, respiratory, and cardiovascular mortality) in Beijing, China, during the whole period (2014-2016) and the CAP period. Adverse health effects were assessed for percentage increases (%) in the three mortality categories with each 10-μg/m3 increase in PM2.5 and O3. The cumulative risk index (CRI) was adopted as a novel approach to quantify the joint effects. Results The results suggested that both PM2.5 and O3 exhibited the greatest individual effects on the three mortality categories with cumulative lag day 01. Increases in the nonaccidental, cardiovascular, and respiratory mortality categories were 0.32%, 0.36%, and 0.43% for PM2.5 (lag day 01) and 0.22%, 0.37%, and 0.25% for O3 (lag day 01), respectively. There were remarkably synergistic interactions between PM2.5 and O3 on the three mortality categories. The study showed that the combined effects of PM2.5 and O3 on nonaccidental, cardiovascular, and respiratory mortality were 0.34%, 0.43%, and 0.46%, respectively, during the whole period and 0.58%, 0.79%, and 0.75%, respectively, during the CAP period. Our findings suggest that combined exposure to PM2.5 and O3, particularly during CAP periods, could further exacerbate their single-pollutant health risks. Conclusion These findings provide essential scientific evidence for the possible creation and implementation of environmental protection strategies by policymakers.
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Affiliation(s)
- Ying Zhang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Shaobo Zhang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China
| | - Jinyuan Xin
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Shigong Wang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China
| | - Xiaonan He
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Canjun Zheng
- Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Shihong Li
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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Clavo B, Cánovas-Molina A, Díaz-Garrido JA, Cañas S, Ramallo-Fariña Y, Laffite H, Federico M, Rodríguez-Abreu D, Galván S, García-Lourve C, González-Beltrán D, Caramés MA, Hernández-Fleta JL, Serrano-Aguilar P, Rodríguez-Esparragón F. Effects of ozone therapy on anxiety and depression in patients with refractory symptoms of severe diseases: a pilot study. Front Psychol 2023; 14:1176204. [PMID: 37599784 PMCID: PMC10437070 DOI: 10.3389/fpsyg.2023.1176204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/17/2023] [Indexed: 08/22/2023] Open
Abstract
Background Patients with refractory symptoms of severe diseases frequently experience anxiety, depression, and an altered health-related quality of life (HRQOL). Some publications have described the beneficial effect of ozone therapy on several symptoms of this kind of patient. The aim of this study was to preliminarily evaluate, in patients treated because of refractory symptoms of cancer treatment and advanced nononcologic diseases, if ozone therapy has an additional impact on self-reported anxiety and depression. Methods Before and after ozone treatment, we assessed (i) anxiety and depression according to the Hospital Anxiety and Depression Scale (HADS); (ii) the HRQOL (according to the EQ-5D-5L questionnaire), which includes a dimension on anxiety and depression and a visual analog scale (VAS) measuring self-perceived general health. Results Before ozone therapy, 56% of patients were on anxiolytic and/or antidepressant treatment. Before and after ozone therapy, the anxiety and depression HADS subscales (i) significantly correlated with the anxiety/depression dimension of the EQ-5D-5L questionnaire and (ii) inversely correlated with the health status as measured by the VAS. After ozone therapy, we found a significant improvement in anxiety and depression measured by both the (i) HADS subscales and (ii) EQ-5D-5L questionnaire. Conclusion The addition of ozone therapy for patients with refractory symptoms of cancer treatment and advanced chronic nononcologic diseases can decrease anxiety and depression severity levels. Additional, more focused studies are ongoing to provide the needed explanatory information for this finding.
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Affiliation(s)
- Bernardino Clavo
- Research Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
- Chronic Pain Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
- Radiation Oncology Department, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
- Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria/Tenerife, Spain
- Universitary Institute for Research in Biomedicine and Health (iUIBS), Molecular and Translational Pharmacology Group, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
- Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias de la Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Spanish Group of Clinical Research in Radiation Oncology (GICOR), Madrid, Spain
| | - Angeles Cánovas-Molina
- Research Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
- Chronic Pain Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
- Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria/Tenerife, Spain
| | - Juan A. Díaz-Garrido
- Psychiatry Department, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | - Silvia Cañas
- Psychiatry Department, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Yolanda Ramallo-Fariña
- Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria/Tenerife, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Santa Cruz de Tenerife, Spain
- Servicio de Evaluación y Planificación del Servicio Canario de Salud (SESCS), Santa Cruz de Tenerife, Spain
- Instituto de Tecnologías Biomédicas (ITB), Universidad de la Laguna, Santa Cruz de Tenerife, Spain
| | - Horus Laffite
- Psychiatry Department, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | - Mario Federico
- Radiation Oncology Department, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | - Delvys Rodríguez-Abreu
- Medical Oncology Department, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Saray Galván
- Medical Oncology Department, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | - Carla García-Lourve
- Research Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
- Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria/Tenerife, Spain
| | - Damián González-Beltrán
- Research Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | - Miguel A. Caramés
- Chronic Pain Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | - Jose L. Hernández-Fleta
- Psychiatry Department, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | - Pedro Serrano-Aguilar
- Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria/Tenerife, Spain
- Instituto de Tecnologías Biomédicas (ITB), Universidad de la Laguna, Santa Cruz de Tenerife, Spain
| | - Francisco Rodríguez-Esparragón
- Research Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
- Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria/Tenerife, Spain
- Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias de la Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
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Huang W, Gao Y, Xu R, Yang Z, Yu P, Ye T, Ritchie EA, Li S, Guo Y. Health Effects of Cyclones: A Systematic Review and Meta-Analysis of Epidemiological Studies. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:86001. [PMID: 37639476 PMCID: PMC10461789 DOI: 10.1289/ehp12158] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND More intense cyclones are expected in the future as a result of climate change. A comprehensive review is urgently needed to summarize and update the evidence on the health effects of cyclones. OBJECTIVES We aimed to provide a systematic review with meta-analysis of current evidence on the risks of all reported health outcomes related to cyclones and to identify research gaps and make recommendations for further research. METHODS We systematically searched five electronic databases (MEDLINE, Embase, PubMed, Scopus, and Web of Science) for relevant studies in English published before 21 December 2022. Following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, we developed inclusion criteria, screened the literature, and included epidemiological studies with a quantitative risk assessment of any mortality or morbidity-related outcomes associated with cyclone exposures. We extracted key data and assessed study quality for these studies and applied meta-analyses to quantify the overall effect estimate and the heterogeneity of comparable studies. RESULTS In total, 71 studies from eight countries (the United States, China, India, Japan, the Philippines, South Korea, Australia, Brazil), mostly the United States, were included in the review. These studies investigated the all-cause and cause-specific mortality, as well as morbidity related to injury, cardiovascular diseases (CVDs), respiratory diseases, infectious diseases, mental disorders, adverse birth outcomes, cancer, diabetes, and other outcomes (e.g., suicide rates, gender-based violence). Studies mostly included only one high-amplitude cyclone (cyclones with a Saffir-Simpson category of 4 or 5, i.e., Hurricanes Katrina or Sandy) and focused on mental disorders morbidity and all-cause mortality and hospitalizations. Consistently elevated risks of overall mental health morbidity, post-traumatic stress disorder (PTSD), as well as all-cause mortality or hospitalizations, were found to be associated with cyclones. However, the results for other outcomes were generally mixed or limited. A statistically significant overall relative risk of 1.09 [95% confidence interval (CI): 1.04, 1.13], 1.18 (95% CI: 1.12, 1.25), 1.15 (95% CI: 1.13, 1.18), 1.26 (95% CI: 1.05, 1.50) was observed for all-cause mortality, all-cause hospitalizations, respiratory disease, and chronic obstructive pulmonary disease hospitalizations, respectively, after cyclone exposures, whereas no statistically significant risks were identified for diabetes mortality, heart disease mortality, and preterm birth. High between-study heterogeneity was observed. CONCLUSIONS There is generally consistent evidence supporting the notion that high-amplitude cyclones could significantly increase risks of mental disorders, especially for PTSD, as well as mortality and hospitalizations, but the evidence for other health outcomes, such as chronic diseases (e.g., CVDs, cancer, diabetes), and adverse birth outcomes remains limited or inconsistent. More studies with rigorous exposure assessment, of larger spatial and temporal scales, and using advanced modeling strategy are warranted in the future, especially for those small cyclone-prone countries or regions with low and middle incomes. https://doi.org/10.1289/EHP12158.
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Affiliation(s)
- Wenzhong Huang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Yuan Gao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Zhengyu Yang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Tingting Ye
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Elizabeth A. Ritchie
- School of Earth Atmosphere and Environment, Monash University, Melbourne, Victoria, Australia
- Department of Civil Engineering, Monash University, Melbourne, Victoria, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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Liu J, Dai Y, Yuan J, Li R, Hu Y, Su Y. Does exposure to air pollution during different time windows affect pregnancy outcomes of in vitro fertilization treatment? A systematic review and meta-analysis. CHEMOSPHERE 2023:139076. [PMID: 37271467 DOI: 10.1016/j.chemosphere.2023.139076] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 05/21/2023] [Accepted: 05/28/2023] [Indexed: 06/06/2023]
Abstract
Few researches have examined the impact of air pollution exposure during various time windows on clinical outcomes in women receiving in vitro fertilization (IVF) therapy, and the findings of studies have been conflicting. We investigated the effects of six air pollutants exposure during different time windows (period 1, 85 days before egg retrieval to the beginning of gonadotropin; period 2, the beginning of gonadotropin to egg collection; period 3, egg collection to embryo transfer; period 4, embryo transfer to serum hCG measurement; period 5, serum hCG measurement to transvaginal ultrasonography; period 6, 85 days before egg retrieval to hCG measurement; period 7, 85 days before egg retrieval to transvaginal ultrasonography) on clinical outcomes of IVF therapy. A total of seven databases were searched. NO2 (period 6), SO2 (period 2, 3, and 7), CO (period 1, 2 and 7) exposure were linked to lower likelihoods of clinical pregnancy. PM2.5 (period 1), PM10 (period 1), SO2 (period 1, 2, 3, 4, and 6), NO2 (period 1) were linked to lower likelihoods of biochemical pregnancy. PM2.5 (period 1), SO2 (period 2 and 4) and CO (period 2) were linked to reduced probabilities of live birth. Our results implied that period 1 might be the most sensitive exposure window. Air pollution exposure is linked to reduced probabilities of clinical pregnancy, biochemical pregnancy, and live birth. Therefore, preventive measures to limit air pollution exposure should be started at least three months in advance of IVF therapy to improve pregnancy outcomes.
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Affiliation(s)
- Junjie Liu
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Yanpeng Dai
- Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jiayi Yuan
- The Neonatal Screening Center in Henan Province, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Runqing Li
- The Neonatal Screening Center in Henan Province, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yaolong Hu
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanhua Su
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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He Z, Zhao Y, Zheng L. How does air pollution affect the stock market performance? Evidence from China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27446-8. [PMID: 37155105 PMCID: PMC10165569 DOI: 10.1007/s11356-023-27446-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 05/01/2023] [Indexed: 05/10/2023]
Abstract
Given its broad impact on human society, air pollution could become a non-economic factor affecting the stock market. But the impact of air pollution on the stock market performance has not received enough attention. This study examines the influence and potential mechanism of air pollution on stock market performance based on the panel data of 1344 A-share listed firms in China covering the period 2013-2019. The result shows that air pollution can negatively affect stock market performance. Second, heterogeneity analysis creatively points out that firms with less analysts, smaller size, stated-owned ownership, polluting related industry are more vulnerable to the negative effects of air pollution. Finally, the result also reveals a mechanism that air pollution could worsen the stock market by depressing investors' sentiments. The above findings enrich current research related to the impact of air pollution on stock market performance and also provide a new perspective for investors to make stock investment decisions.
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Affiliation(s)
- Zizhao He
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China
| | - Yuhuan Zhao
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.
| | - Lu Zheng
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China
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49
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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: 5] [Impact Index Per Article: 5.0] [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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Palinkas LA, De Leon J, Yu K, Salinas E, Fernandez C, Johnston J, Rahman MM, Silva SJ, Hurlburt M, McConnell RS, Garcia E. Adaptation Resources and Responses to Wildfire Smoke and Other Forms of Air Pollution in Low-Income Urban Settings: A Mixed-Methods Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5393. [PMID: 37048007 PMCID: PMC10094253 DOI: 10.3390/ijerph20075393] [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: 02/04/2023] [Revised: 04/03/2023] [Accepted: 04/03/2023] [Indexed: 06/19/2023]
Abstract
Little is known about how low-income residents of urban communities engage their knowledge, attitudes, behaviors, and resources to mitigate the health impacts of wildfire smoke and other forms of air pollution. We interviewed 40 adults in Los Angeles, California, to explore their threat assessments of days of poor air quality, adaptation resources and behaviors, and the impacts of air pollution and wildfire smoke on physical and mental health. Participants resided in census tracts that were disproportionately burdened by air pollution and socioeconomic vulnerability. All participants reported experiencing days of poor air quality due primarily to wildfire smoke. Sixty percent received advanced warnings of days of poor air quality or routinely monitored air quality via cell phone apps or news broadcasts. Adaptation behaviors included remaining indoors, circulating indoor air, and wearing face masks when outdoors. Most (82.5%) of the participants reported some physical or mental health problem or symptom during days of poor air quality, but several indicated that symptom severity was mitigated by their adaptive behaviors. Although low-income residents perceive themselves to be at risk for the physical and mental health impacts of air pollution, they have also adapted to that risk with limited resources.
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Affiliation(s)
- Lawrence A. Palinkas
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Jessenia De Leon
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Kexin Yu
- Department of Neurology, Oregon Health Sciences University, Portland, OR 97239, USA
| | - Erika Salinas
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Cecilia Fernandez
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Md Mostafijur Rahman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Sam J. Silva
- Department of Earth Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Michael Hurlburt
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Rob S. McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Erika Garcia
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
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