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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 PMCID: PMC12070290 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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Zhou X, Sun P, Wang B, Li M, Tong R. Capturing and quantifying the aggregate effects of multi-source factors affecting miners' health and well-being: Construction of Bayesian belief networks. Stress Health 2024; 40:e3336. [PMID: 37897699 DOI: 10.1002/smi.3336] [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: 07/13/2023] [Revised: 09/18/2023] [Accepted: 10/05/2023] [Indexed: 10/30/2023]
Abstract
Factors originating at the organizational, work, and individual levels are closely interrelated and intricately intertwined, affecting health rates. There was limited research on the interdependence and aggregate effects between multi-source factors and occupational health and well-being (OHW). It is challenging to achieve management goals. Therefore, considering cross-level factors and across the "work environment-stress-exposure-OHW" chain, individual vulnerability was considered. A Fuzzy Bayesian Belief Network (FBBN) driven by both domain knowledge and data was constructed to carve out the logic between multi-source factors and OHW. Workers from four coal mines were surveyed twice in 6 months. 714 valid samples were included in the analysis. The interdependencies among multi-source factors were identified by the Interpretive Structure Modeling method and the visual probability estimation was achieved based on FBBN. It revealed that the work and the organizational level were the root factors. Eight factors involved in work stress were mainly mediating, and actual exposure and individual vulnerability were direct factors. Pathway interventions and joint interventions were proposed. The prediction ability and scheme feasibility of FBBN were verified. The approach developed allows robust assessments of aggregate effects and obtains multi-source factor importance. This study provides vital insights and evaluation tools for understanding workplace stress and OHW management.
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Affiliation(s)
- Xiaofeng Zhou
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Pengyi Sun
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Biao Wang
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Ming Li
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Ruipeng Tong
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
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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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Wang X, Wu Y, Chen Y, Xu J, Gao Q, Zang S. Traffic-related pollution and symptoms of depression and anxiety among Chinese adults: A population-based study. J Affect Disord 2024; 352:101-109. [PMID: 38360369 DOI: 10.1016/j.jad.2024.02.046] [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: 12/14/2023] [Revised: 02/09/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Limited understanding exists regarding the associations of traffic-related pollution with depression and anxiety symptoms in individuals residing within low- and middle-income countries. METHODS Data for this study were extracted from the Psychology and Behavior Investigation of Chinese Residents (PBICR) survey, implemented between June 20 and August 31, 2023. We determined residential proximity to major roadways through self-reports and evaluated depression symptoms using the Patient Health Questionnaire-9 (PHQ-9), along with anxiety symptoms assessed through the Generalized Anxiety Disorder-7 (GAD-7). We examined the associations between residential proximity to major roadways and depression and anxiety symptoms using logistic regressions and generalized linear models, while controlling for potential confounding variables. RESULTS This study comprised a total of 22,723 participants. The adjusted odds ratios (OR) for depression symptoms were 1.34 (95 % confidence interval (CI) 1.20, 1.51), 1.29 (95 % CI 1.17, 1.43), 1.34 (95 % CI 1.20, 1.49), and 1.32 (95 % CI 1.17, 1.49) among individuals residing within <50 m, 50-100 m, 101-200 m, and 201-300 m, respectively, in comparison to those residing >300 m from a major roadway. Individuals residing <50 m, 50-100 m, 101-200 m, and 201-300 m from a major roadway exhibited adjusted OR for anxiety symptoms of 1.49 (95 % CI 1.30, 1.69), 1.21 (95 % CI 1.07, 1.37), 1.38 (95 % CI 1.21, 1.56), and 1.38 (95 % CI 1.20, 1.59), respectively, in contrast to those residing >300 m. CONCLUSIONS This study provides valuable insights into the associations between environmental factors and mental health. The findings underscore the importance of integrating environmental considerations into comprehensive mental health frameworks, especially for individuals residing near high-traffic areas.
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Affiliation(s)
- Xue Wang
- Department of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province 110122, China
| | - Yibo Wu
- School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Yifei Chen
- Department of Interventional Radiology, The First Hospital of China Medical University, No.155 Nanjing North Street, Heping District Area, Shenyang, Liaoning Province 110002, China
| | - Jiayi Xu
- Department of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province 110122, China
| | - Qian Gao
- Department of Environmental Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province 110122, China
| | - Shuang Zang
- Department of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province 110122, China.
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Zhou X, Sun N, Zhao X, Wang L, Tong R. Revealing the practical strategies for promoting Chinese migrant workers' health and well-being: Organizational empowerment perspective. Appl Psychol Health Well Being 2023; 15:1085-1109. [PMID: 36539304 DOI: 10.1111/aphw.12428] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022]
Abstract
The health and well-being of migrant workers struggling to make ends meet are being compromised, especially with the uncertainty of the COVID-19 pandemic. The aim is to analyze how organizational empowerment promotes health and well-being from an applied psychological perspective, taking into account the shaping role of individual vulnerability. Links between theory and practice will be established to achieve equitable health and well-being. The underlying mechanism by which organizational empowerment mitigated workplace-induced adverse outcomes was validated in the analysis of construction workers (n = 966). In addition, individual characteristics, namely, excitability, low perceptual threshold, control, and knowledge, attitude, and practice, were identified as critical factors, as well-being consequences vary from person to person. Moderating effect analysis showed that high excitability enhanced the association between work environment exposure and health and well-being. Control and knowledge, attitude, and practice have opposite effects. Moreover, the dual effects of the low perception threshold are verified, that is, facing the work environment produces more negative consequences, whereas perceiving more resources stimulates more positive consequences. Overall, the research provides a clearer dialectical view of vulnerability, contributing wisdom toward accurate management based on empowerment theory, which lays a solid foundation for bridging gaps in health and well-being.
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Affiliation(s)
- Xiaofeng Zhou
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Ninghao Sun
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Xu Zhao
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Leyao Wang
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Ruipeng Tong
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
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Orellano P, Reynoso J, Quaranta N. Effects of air pollution on restricted activity days: systematic review and meta-analysis. Environ Health 2023; 22:31. [PMID: 36991377 PMCID: PMC10061989 DOI: 10.1186/s12940-023-00979-8] [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: 01/09/2023] [Accepted: 03/07/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND The adverse effects of air pollution on human health include many diseases and health conditions associated with mortality, morbidity and disability. One example of these outcomes that can be translated into economic costs is the number of days of restricted activity. The aim of this study was to assess the effect of outdoor exposure to particulate matter with an aerodynamic diameter less than or equal to 10 and 2.5 μm (PM10, PM2.5), nitrogen dioxide (NO2), and ozone (O3), on restricted activity days. METHODS Observational epidemiological studies with different study designs were included, and pooled relative risks (RR) with 95% confidence intervals (95%CI) were calculated for an increase of 10 μg/m3 of the pollutant of interest. Random-effects models were chosen because of the environmental differences between the studies. Heterogeneity was estimated using prediction intervals (PI) and I-Squared (I2) values, while risk of bias was assessed using a tool developed by the World Health Organization specifically designed for air pollution studies, and based on different domains. Subgroup and sensitivity analyses were performed where possible. The protocol for this review was registered with PROSPERO (CRD42022339607). RESULTS We included 18 articles in the quantitative analysis. Associations between pollutants and restricted activity days in time-series studies of short-term exposures, measured as work-loss days, school-loss days, or both were significant for PM10 (RR: 1.0191; 95%CI: 1.0058-1.0326; 80%PI: 0.9979-1.0408; I2: 71%) and PM2.5 (RR: 1.0166; 95%CI: 1.0050-1.0283; 80%PI: 0.9944-1.0397; I2: 99%), but not for NO2 or O3. Some degree of heterogeneity between studies was observed, but sensitivity analysis showed no differences in the direction of the pooled relative risks when studies with a high risk of bias were excluded. Cross-sectional studies also showed significant associations for PM2.5 and restricted activity days. We could not perform the analysis for long-term exposures because only two studies analysed this type of association. CONCLUSION Restricted activity days and related outcomes were associated with some of the pollutants under evaluation, as shown in studies with different designs. In some cases, we were able to calculate pooled relative risks that can be used for quantitative modelling.
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Affiliation(s)
- Pablo Orellano
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
- Universidad Tecnológica Nacional, Facultad Regional San Nicolás, Colon 332, San Nicolas de los Arroyos, Argentina.
| | | | - Nancy Quaranta
- Universidad Tecnológica Nacional, Facultad Regional San Nicolás, Colon 332, San Nicolas de los Arroyos, Argentina
- Comisión de Investigaciones Científicas, Provincia de Buenos Aires, La Plata, Argentina
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Ju K, Lu L, Liao W, Yang C, Xu Z, Wang W, Zhao L, Pan J. Long-term exposure of PM 2.5 components on the adults' depressive symptoms in China - Evidence from a representative longitudinal nationwide cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159434. [PMID: 36244492 DOI: 10.1016/j.scitotenv.2022.159434] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 09/27/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
In recent years, there is growing evidence that long-term exposure to fine particulate matter (PM2.5) is associated with depressive symptoms. However, little is known about the individual effects of PM2.5 components, particularly in low-income and middle-income countries. We investigated the association between long-term exposure to major components of PM2.5 and worsening depressive symptoms in Chinese adults based on a large, long-term, nationally representative, population-based prospective cohort. Our data were derived from China Family Panel Study (CFPS) wave 2012, 2016 and 2018 and a long-term (2010-2019) high-resolution PM2.5 components dataset covering the whole China. We assessed respondents' depressive symptoms using standardized scales and applied advanced Fixed-effect ordered logit model (FE-ologit) to capture the ordinal nature of respondents' depressive symptoms and control for individual-specific and time-invariant effects to investigate their associations with PM2.5 components. We included 9503 respondents and the FE-ologit model results indicated that the odds ratio of increase per standard unit was 1.118 (95 % CI: 1.020, 1.225) for black carbon, 1.134 (95 % CI: 1.028, 1.252) for organic matter, 1.127 for ammonium (95 % CI: 1.011, 1.255), 1.107 for nitrate (95 % CI: 0.981, 1.248), and 1.117 for sulfate (95 % CI: 1.020, 1.224). Our study suggests that long-term exposure to PM2.5 components is significantly associated with worsening of depressive symptoms, and that different components may have different toxicity. Reducing PM2.5 emissions, especially the major sources of organic matter and ammonium, may reduce the burden of depressive symptoms in Chinese adults.
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Affiliation(s)
- Ke Ju
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Liyong Lu
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Weibin Liao
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Chenyu Yang
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zongyou Xu
- Medical School, Hubei Minzu University, Enshi 445000, China
| | - Wen Wang
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Li Zhao
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
| | - Jay Pan
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China; School of Public Administration, Sichuan University.
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Zhang L, Zhou S, Kwan MP. The temporality of geographic contexts: Individual environmental exposure has time-related effects on mood. Health Place 2023; 79:102953. [PMID: 36512953 DOI: 10.1016/j.healthplace.2022.102953] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022]
Abstract
Research on environmental exposure and its impacts on people's mood has attracted increasing attention. Most studies focus on the spatiality of geographic contexts, but they neglect the influence of temporality in the relationships between environments and mood. To this end, a survey was conducted in January 2019 in Guangzhou, China, and measured data (micro-environments, built environments, EMA records, GPS trajectories, and activity logs) covering a weekday were collected from 125 participants. Then, multiple linear regression models are employed to examine and compare the associations between environments and mood based on three possible types of temporal responses (cumulative response, momentary response, and time-lagged response). The results indicate that there are great differences in environmental mood effects based on different types of temporal responses. Specifically, (i) for three types of temporal responses, exposure to PM2.5 and noise have mood-blunting effects, whereas exposure to green spaces has mood-augmenting effects. (ii) For two types of temporal responses, higher temperature (in winter) may positively influence individual mood based on cumulative and time-lagged response, and higher POI density can positively affect mood based on cumulative and momentary response. (iii) Relative humidity may not have time-related effects on mood. Although all three types of temporal responses are observed in this study, the most significant manifestation is momentary response. These findings not only enrich theoretical research on environmental mood effects and temporality, but also inform the practice of more refined and humanistic urban planning, environmental governance, and public services.
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Affiliation(s)
- Lin Zhang
- Institute of Studies for the Greater Bay Area (Guangdong, Hong Kong, Macau), Guangdong University of Foreign Studies, Guangzhou, China
| | - Suhong Zhou
- School of Geography and Planning, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou, China.
| | - Mei-Po Kwan
- Department of Geography and Resource Management and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China
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