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      Long-term exposure to ambient air pollutants and mental health status: A nationwide population-based cross-sectional study

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      PLoS ONE
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          Abstract

          There is a suspected but unproven association between long-term exposure to ambient air pollution and mental health. The aim of this study is to investigate the association between long-term exposure to ambient air pollution and subjective stress, depressive disorders, health-related quality of life (QoL) and suicide. We selected 124,205 adults from the Korean Community Health Survey in 2013 who were at least 19 years old and who had lived in their current domiciles for > five years. Based on the computer-assisted personal interviews to measure subjective stress in daily life, EuroQoL-5 dimensions, depression diagnosis by a doctor, suicidal ideation, and suicidal attempts, we evaluated the risk of mental disorders using multiple logistic regression analysis according to the quartiles of air pollutants, such as particulate matter <10μm (PM 10), nitrogen dioxide (NO 2), carbon monoxide (CO), and sulfur dioxide, using yearly average concentration between August 2012 and July 2013. The prevalence of high stress, poor QoL, depressiveness, diagnosis of depression, and suicide ideation was positively associated with high concentrations of PM 10, NO 2, and CO after adjusting for confounding factors. Men were at increased risk of stress, poor QoL, and depressiveness from air pollution exposure than were women. The risk of higher stress or poor QoL in subjects < age 65 increased with air pollution more than did that in subjects ≥ age 65. Long-term exposure to ambient air pollution may be an independent risk factor for mental health disorders ranging from subjective stress to suicide ideation.

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          Most cited references24

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          The role of masculinity in men's help-seeking for depression: A systematic review.

          Conformity to traditional masculine gender norms may deter men's help-seeking and/or impact the services men engage. Despite proliferating research, current evidence has not been evaluated systematically. This review summarises findings related to the role of masculinity on men's help-seeking for depression.
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            South Korean time trade-off values for EQ-5D health states: modeling with observed values for 101 health states.

            This study establishes the South Korean population-based preference weights for EQ-5D based on values elicited from a representative national sample using the time trade-off (TTO) method. The data for this paper came from a South Korean EQ-5D valuation study where 1307 representative respondents were invited to participate and a total of 101 health states defined by the EQ-5D descriptive system were directly valued. Both aggregate and individual level modeling were conducted to generate values for all 243 health states defined by EQ-5D. Various regression techniques and model specifications were also examined in order to produce the best fit model. Final model selection was based on minimizing the difference between the observed and estimated value for each health state. The N3 model yielded the best fit for the observed TTO value at the aggregate level. It had a mean absolute error of 0.029 and only 15 predictions out of 101 had errors exceeding 0.05 in absolute magnitude. The study successfully establishes South Korean population-based preference weights for the EQ-5D. The value set derived here is based on a representative population sample, limiting the interpolation space and possessing better model performance. Thus, this EQ-5D value set should be given preference for use with the South Korean population.
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              Air pollution impairs cognition, provokes depressive-like behaviors and alters hippocampal cytokine expression and morphology.

              Particulate matter air pollution is a pervasive global risk factor implicated in the genesis of pulmonary and cardiovascular disease. Although the effects of prolonged exposure to air pollution are well characterized with respect to pulmonary and cardiovascular function, comparatively little is known about the impact of particulate matter on affective and cognitive processes. The central nervous system may be adversely affected by activation of reactive oxygen species and pro-inflammatory pathways that accompany particulate matter pollution. Thus, we investigated whether long-term exposure to ambient fine airborne particulate matter (<2.5 μm (PM(2.5))) affects cognition, affective responses, hippocampal inflammatory cytokines and neuronal morphology. Male mice were exposed to either PM(2.5) or filtered air (FA) for 10 months. PM(2.5) mice displayed more depressive-like responses and impairments in spatial learning and memory as compared with mice exposed to FA. Hippocampal pro-inflammatory cytokine expression was elevated among PM(2.5) mice. Apical dendritic spine density and dendritic branching were decreased in the hippocampal CA1 and CA3 regions, respectively, of PM(2.5) mice. Taken together, these data suggest that long-term exposure to particulate air pollution levels typical of exposure in major cities around the globe can alter affective responses and impair cognition.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 April 2018
                2018
                : 13
                : 4
                : e0195607
                Affiliations
                [1 ] Department of Family Medicine, Research Institute of Medical Science, Konkuk University School of Medicine, Konkuk University Medical Center, Seoul, South Korea
                [2 ] Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
                Chiba Daigaku, JAPAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-0875-7505
                Article
                PONE-D-17-40236
                10.1371/journal.pone.0195607
                5891065
                29630645
                f6854dcf-327c-437a-9553-509cea25d1ed
                © 2018 Shin et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 November 2017
                : 26 March 2018
                Page count
                Figures: 1, Tables: 4, Pages: 12
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Engineering and Technology
                Environmental Engineering
                Pollution
                Air Pollution
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Suicide
                Medicine and Health Sciences
                Health Care
                Quality of Life
                Medicine and Health Sciences
                Health Care
                Health Risk Analysis
                Medicine and Health Sciences
                Vascular Medicine
                Blood Pressure
                Hypertension
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Custom metadata
                Data are available from the Korea Centers for Disease Control and Prevention for the data obtained from the 2013 Community Health Survey and the National Institute of Environmental Research. Researchers interested in the data can request access by sending a proposal to the data access committee at the following link: https://chs.cdc.go.kr/chs/sub05/sub05_02.jsp;jsessionid=7Oz5P2fE0QxHWIHlUREfDtxJ4NBdgVmlzOanpQNiB1QE6XuDMKGPiVOlXaelhKQn.KCDCWAS02_servlet_PUB2.

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                Uncategorized

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