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Li S, Liu Y, Li R, Xiao W, Ou J, Tao F, Wan Y. Association between green space and multiple ambient air pollutants with depressive and anxiety symptoms among Chinese adolescents: The role of physical activity. ENVIRONMENT INTERNATIONAL 2024; 189:108796. [PMID: 38838489 DOI: 10.1016/j.envint.2024.108796] [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: 02/21/2024] [Revised: 05/31/2024] [Accepted: 05/31/2024] [Indexed: 06/07/2024]
Abstract
OBJECTIVE To explore the association between green space, multiple ambient air pollutants and depressive/anxiety symptoms and the mediating role of physical activity (PA) in Chinese adolescents. METHOD A school-based health survey was conducted in eight provinces in China in 2021. 22,868 students aged 14.64 (±1.77) years completed standard questionnaires to record details of depressive, anxiety symptoms and PA. We calculated the average normalized difference vegetation index (NDVI) in circular buffers of 200 m, 500 m and 1000 m and estimated the concentrations of PM10, PM2.5, CO, NO2, O3, SO2 around the adolescents' school addresses. RESULTS The exposure-response curves showed that the lower the NDVI value, the higher the risk of depressive and anxiety symptoms. CO, PM2.5 and SO2 and air pollution score were associated with increased risk of depressive and anxiety symptoms. NDVI in all circular buffers decreased the risk of depressive and anxiety symptoms at low levels of PA, but the associations were not significant at high levels of PA. In the subgroup analysis, PM10, PM2.5, CO, NO2, SO2, AQI and air pollution score increased the risk of depressive and anxiety symptoms at low PA levels, but the associations were not significant at high levels of PA. Mediation analysis indicated that the mediating effect of PA on the association between NDVI, NDVI-200 m NDVI-500 m, CO, PM10, PM2.5, SO2, AQI and depressive/anxiety symptoms was statistically significant(p < 0.05). CONCLUSION Middle-high level PA could reduce the strength of association between air pollution and depressive and anxiety symptoms. Meanwhile, the association between green space/air pollution and depressive/anxiety symptoms was partly mediated by PA.
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Affiliation(s)
- Shuqin Li
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yu Liu
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Ruoyu Li
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Wan Xiao
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Jinping Ou
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China.
| | - Fangbiao Tao
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China.
| | - Yuhui Wan
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China.
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Kaushal A, Karimi DM, Nazari DR, Opare K, Museru M, Reza Nikoo DM. Environmental Exposure and Respiratory Health: Unraveling the Impact of Toxic Release Inventory Facilities on COPD Prevalence. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024:124286. [PMID: 38823548 DOI: 10.1016/j.envpol.2024.124286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/03/2024]
Abstract
This cross-sectional geospatial analysis explores the prevalence of Chronic Obstructive Pulmonary Disease (COPD) concerning the proximity to toxic release inventory (TRI) facilities in Jefferson County, Alabama. Employing the fuzzy analytical hierarchy process (FAHP), the study evaluates COPD prevalence, comorbidities, healthcare access, and individual health assessments. Given the mounting evidence linking environmental pollutants to COPD exacerbations, the research probes the influence of TRI sites on respiratory health, integrating Geographic Information Systems (GIS) to scrutinize the geospatial vulnerability of communities neighboring TRI sites. Socio-demographic disparities, economic conditions, and air pollution are emphasized in the analysis. The EPA's Toxic Release Inventory serves as the cornerstone for assessing the association between TRI proximity and COPD prevalence. The analysis uncovers a notable inverse correlation between distance from TRI sites and COPD prevalence, signaling potential health risks for populations residing closer to these facilities. Moreover, factors such as minority status, low income, and air pollution are associated with higher COPD prevalence, underscoring the imperative of comprehending the interplay between environmental exposure and respiratory health. This study bridges gaps in the literature by addressing the geographical nexus between COPD prevalence and pollution exposure. By leveraging FAHP, the research furnishes a holistic understanding of the multifaceted factors influencing vulnerability to COPD. The findings underscore the necessity for targeted public health interventions and policy measures to redress environmental disparities and alleviate the repercussions of TRI facilities on respiratory health.
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Affiliation(s)
- Aishwarya Kaushal
- Sustainable Smart Cities Research Center, University of Alabama-Birmingham, Birmingham, AL, USA; Department of Environmental Health Sciences, School of Public Health, the University of Alabama at Birmingham
| | - Dr Maryam Karimi
- Sustainable Smart Cities Research Center, University of Alabama-Birmingham, Birmingham, AL, USA; Department of Environmental Health Sciences, School of Public Health, the University of Alabama at Birmingham; Department of Civil, Construction, and Environmental Engineering, School of Engineering, the University of Alabama at Birmingham
| | - Dr Rouzbeh Nazari
- Sustainable Smart Cities Research Center, University of Alabama-Birmingham, Birmingham, AL, USA; Department of Environmental Health Sciences, School of Public Health, the University of Alabama at Birmingham; Department of Civil, Construction, and Environmental Engineering, School of Engineering, the University of Alabama at Birmingham.
| | - Kofi Opare
- Sustainable Smart Cities Research Center, University of Alabama-Birmingham, Birmingham, AL, USA; Department of Civil, Construction, and Environmental Engineering, School of Engineering, the University of Alabama at Birmingham
| | - Mujungu Museru
- Sustainable Smart Cities Research Center, University of Alabama-Birmingham, Birmingham, AL, USA; Department of Civil, Construction, and Environmental Engineering, School of Engineering, the University of Alabama at Birmingham
| | - Dr Mohammad Reza Nikoo
- Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman
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3
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Zhou C, Xv J, Xia W, Wu Y, Jia X, Li S. Greenness, air pollution, and mortality risk: a retrospective cohort study of patients with lung cancer in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-12. [PMID: 38770969 DOI: 10.1080/09603123.2024.2355278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/10/2024] [Indexed: 05/22/2024]
Abstract
The association between long-term exposure to air pollution and mortality from lung cancer has been established, yet evaluations of the potential mitigating effects of greenness on this impact are scarce. We conducted a cohort study in Pingyi County. A two-level Cox proportional hazards regression model was used to examine the associations among long-term exposure to air pollution, residential greenness, and lung cancer mortality. Among the examined pollutants, nitrogen dioxide exhibited the most significant adverse effects and highest risk of lung cancer mortality, with hazard ratio (HR) = 2.783 (95% confidence interval [CI]: 1.885-4.107) for all-cause mortality, HR = 2.492 (95%CI: 1.659-3.741) for tumour-related mortality, and HR = 2.431 (95%CI: 1.606-3.678) for lung cancer mortality. Higher greenness values were associated with a reduced risk of lung cancer mortality. These findings suggest the importance of implementing strategies for increasing greenness to reduce the health impacts of air pollution.
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Affiliation(s)
- Changqiang Zhou
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Juan Xv
- Chronic Disease Department, Pingyi Center for Disease Control and Prevention, Pingyi, China
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Healthcare Big Data Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wanning Xia
- Department of Epidemiology and Statistics, Bengbu Medical College, Bengbu, China
| | - Yue Wu
- Department of Epidemiology and Statistics, Bengbu Medical College, Bengbu, China
| | - Xianjie Jia
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Healthcare Big Data Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Epidemiology and Statistics, Bengbu Medical College, Bengbu, China
| | - Shixue Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
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4
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Yan D, Ji H, Fu H, Jiang J, Su B, Ye B. The effect of fine particulate matter (PM 2.5) pollution on health inequality: an intergenerational perspective. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:195. [PMID: 38696046 DOI: 10.1007/s10653-024-01982-9] [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: 02/23/2024] [Accepted: 04/03/2024] [Indexed: 06/17/2024]
Abstract
Air pollution poses a serious challenge to public health and simultaneously exacerbating regional & intergenerational health inequality. This research introduces PM2.5 pollution into the intergenerational health transmission model, and estimates its impact on health inequality in China using Ordered Logit Regression (OLR) and Multi-scale Geographically Weighted Regression (MGWR) model. The results indicate that PM2.5 pollution exacerbate the intergenerational health inequality, and its impacts show inconsistency across family income levels, parental health insurance status, and area of residence. Specifically, it is more difficult for offspring in low-income families to escape from the influence of unhealthy family to become upwardly mobile. Additionally, this health inequality is more significant in households in which at least one parent does not have health insurance. Moreover, the intergenerational solidification caused by PM2.5 pollution is higher in the east and lower in the west. Both the PM2.5 level and solidification effect are high in Beijing-Tianjin-Hebei region, Yangtze River Delta region and central areas of China, which is the focus of air pollution management. These findings suggest that more emphasis should be placed on family-based health promotion. In areas with high PM2.5 pollution levels, resources, subsidies and air pollution protection should be provided for less healthy families with lower incomes and no health insurance.
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Affiliation(s)
- Dan Yan
- School of Public Administration, Zhejiang University of Technology, Hangzhou, 310023, China
- Zhejiang Institution of Talent Development, Hangzhou, 310023, China
| | - Honglu Ji
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Hong Fu
- School of Public Administration, Zhejiang University of Technology, Hangzhou, 310023, China
| | - Jingjing Jiang
- School of Economics and Management, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China
| | - Bin Su
- Energy Studies Institute, National University of Singapore, Singapore, Singapore
| | - Bin Ye
- School of Environmental Science and Engineering, Southern University of Science and Technology, NO. 1088, Xueyuan Road, Nanshan District, Shenzhen, 518055, Guangdong, China.
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5
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Baker E, Barlow CF, Daniel L, Morey C, Bentley R, Taylor MP. Mental health impacts of environmental exposures: A scoping review of evaluative instruments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169063. [PMID: 38048998 DOI: 10.1016/j.scitotenv.2023.169063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 11/21/2023] [Accepted: 12/01/2023] [Indexed: 12/06/2023]
Abstract
To date, much of the health focus of environmental policy has been on preventing physical health impacts of environmental exposures. Recent research has however highlighted increasingly concurrent mental health effects and its consideration is an emerging requirement for many governments and their agencies, yet there are limited universal mental health assessment tools for environmental exposures. This paper details the findings of a scoping review that evaluated assessment tools used to measure psychological impacts from environmental exposures and pollution, as reported in recent peer-reviewed literature (2000-2022). Across the 126 papers identified in our review, a wide range of tools to assess mental health impact were identified. We document a clear recent upswing of research interest in the mental and psychological impacts of environmental exposures, and an overarching concern for air pollution from industry, traffic, and fires. A majority of studies utilised standardised assessment instruments, but there was little consistency in the way that these were combined or deployed. The dominant mental health outcomes of interest in these studies were depression, anxiety, and mental and psychiatric health. The findings of the review identify a need and opportunity to develop a best-practice approach to consistently assess the mental health impacts arising from environmental exposures. Future work is needed to define the most appropriate choice and application of assessment tools to evaluate adverse mental health impacts from environmental exposures. This will support a more universal, coordinated and cross-jurisdiction approach for the assessment, quantification and targeted response to addressing mental health impacts arising from environmental exposures.
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Affiliation(s)
- Emma Baker
- Australian Centre for Housing Research, The University of Adelaide, Adelaide 5005, Australia
| | - Cynthia Faye Barlow
- Australian Centre for Housing Research, The University of Adelaide, Adelaide 5005, Australia
| | - Lyrian Daniel
- UniSA Creative, University of South Australia, Adelaide 5000, Australia
| | - Claire Morey
- Australian Centre for Housing Research, The University of Adelaide, Adelaide 5005, Australia
| | - Rebecca Bentley
- Centre of Research Excellence in Healthy Housing, Melbourne School of Population and Global Health, The University of Melbourne, Parkville 3010, Australia
| | - Mark Patrick Taylor
- Environment Protection Authority Victoria, Centre for Applied Sciences, Ernest Jones Drive, Macleod, Melbourne, Victoria 3085, Australia.
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6
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Cantuaria ML, Brandt J, Blanes-Vidal V. Exposure to multiple environmental stressors, emotional and physical well-being, and self-rated health: An analysis of relationships using latent variable structural equation modelling. ENVIRONMENTAL RESEARCH 2023; 227:115770. [PMID: 37003553 DOI: 10.1016/j.envres.2023.115770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/10/2023] [Accepted: 03/23/2023] [Indexed: 05/08/2023]
Affiliation(s)
- Manuella Lech Cantuaria
- Applied AI and Data Science, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Victoria Blanes-Vidal
- Applied AI and Data Science, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark
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7
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Shi Y, Zhao Y, Li H, Liu H, Wang L, Liu J, Chen H, Yang B, Shan H, Yuan S, Gao W, Wang G, Han C. Association between exposure to ambient PM 2.5 and the health status in the mobile population from 338 cities in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:63716-63726. [PMID: 37058237 DOI: 10.1007/s11356-023-26453-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 03/10/2023] [Indexed: 04/15/2023]
Abstract
There are limited studies investigating the relationship between exposure to PM2.5 and the health status among the mobile population. A cross-sectional analysis was performed in a nationally representative sample (2017 China Migrants Dynamic Survey data) consisting of 169,469 mobile population. The ordered logistic regression model was used to examine the association between PM2.5 and the health status in mobile population. Stratified analyses were performed to identify whether the association varied across gender, age group, and regions in China. Overall, every 10 μg/m3 increment in annual average PM2.5 was associated with increased risk of poor self-reported health (OR = 1.021, 95% CI: 1.012-1.030). Mobile population aged 31-49 years and living in the central region suffers the highest PM2.5-associated health risk (OR = 1.030, 95% CI: 1.019-1.042; OR = 1.095, 95% CI: 1.075-1.116). Our study suggests that PM2.5 exposure was associated with an increased risk of poor self-reported health in mobile population, particularly among the population aged 31-49 years and people living in the central region of China. Policymakers should pay more attention to the vulnerable mobile population to tackle the health burden of ambient air pollution.
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Affiliation(s)
- Yukun Shi
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Yang Zhao
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
- The George Institute for Global Health, Beijing, PR China
| | - Hongyu Li
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Haiyun Liu
- Department of Medicine, Shandong College of Traditional Chinese Medicine, Yantai, 264199, PR China
| | - Luyang Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Junyan Liu
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Haotian Chen
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Baoshun Yang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Haifeng Shan
- Zibo Mental Health Center, Zibo, 255100, Shandong, PR China
| | - Shijia Yuan
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Wenhui Gao
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Guangcheng Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Chunlei Han
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China.
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8
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Byun G, Choi Y, Kim S, Lee JT. Long-term exposure to ambient ozone and mortality in a population-based cohort of South Korea: Considering for an alternative exposure time metric. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 314:120300. [PMID: 36181930 DOI: 10.1016/j.envpol.2022.120300] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/20/2022] [Accepted: 09/25/2022] [Indexed: 06/16/2023]
Abstract
Studies on the health effects of long-term ozone exposure remain limited with mixed results. One potential source of this inconsistency is the difference in exposure time metrics. This study aimed to investigate the association between long-term exposure to ambient ozone and mortality in South Korea, using different exposure metrics. We also examined whether heterogeneity between previous studies was due to the different exposure metrics. The study population comprised 179,806 participants from the National Health Insurance Service-National Sample Cohort (2002-2015) residing in seven major cities in South Korea. Several ozone exposure metrics (year-round 24-h, year-round 8-h, warm-season 24-h, and warm-season 8-h) were calculated. Time-varying Cox proportional hazards models were used to estimate the association between ozone and all-cause and cause-specific mortalities. Random-effect meta-analysis and meta-regression analysis were performed to pool the effect estimates of previous studies and examine whether the exposure metric can explain the between-study heterogeneity. The hazard ratios (HRs) per 10 ppb increment in year-round 24-h ozone for all-cause (HR, 1.18; 95% CI, 1.07-1.29) and circulatory (HR, 1.52; 95% CI, 1.25-1.84) mortality were higher than those of the other metrics. Year-round 8-h ozone exhibited the largest association with respiratory mortality (HR, 1.43; 95% CI, 1.04-1.96). A meta-analysis of 29 previous studies and the present study showed the largest HR for all-cause mortality from studies using year-round 8-h exposure (HR, 1.014; 95% CI, 0.994-1.033). The exposure metric was significantly associated with effect estimates in the multivariable meta-regression model. In conclusion, in the population-based cohort in South Korea, we found positive associations between several long-term ozone exposure metrics and mortality. The different ozone exposure metrics exhibited heterogeneous effect estimates. A year-round 24-h average ozone metric also could be considered an alternative long-term standard for ozone.
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Affiliation(s)
- Garam Byun
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea
| | - Yongsoo Choi
- Department of Public Health Science, Graduate School, Korea University, Seoul, Republic of Korea
| | - Sera Kim
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea
| | - Jong-Tae Lee
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea; School of Health Policy and Management, College of Health Science, Korea University, Seoul, Republic of Korea.
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9
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Verheyen VJ, Remy S, Govarts E, Colles A, Koppen G, Martin LR, Nielsen F, Bruckers L, Bijnens EM, Vos S, Morrens B, Coertjens D, Loots I, De Decker A, Franken C, Den Hond E, Nelen V, De Henauw S, Covaci A, Van Larebeke N, Teughels C, Nawrot TS, Schoeters G. Determinants of Chronic Biological Stress, Measured as Hair Cortisol Concentration, in a General Population of Adolescents: From Individual and Household Characteristics to Neighborhood Urbanicity. Front Public Health 2021; 9:669022. [PMID: 34888272 PMCID: PMC8650704 DOI: 10.3389/fpubh.2021.669022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 10/14/2021] [Indexed: 11/13/2022] Open
Abstract
Chronic biological stress may adversely affect adolescents' physical and mental health, but insight in the personal and environmental factors that determine chronic stress is limited. We measured 3-month cumulative hair cortisol concentration (HCC) in 419 adolescents, participating in the Flemish Environment and Health Study. Adolescents' health and lifestyle characteristics, household and neighborhood socio-economic status as well as neighborhood urbanicity were assessed as potential determinants of HCC, using multiple linear regression models. We additionally explored heterogeneity of our results by sex. HCC were significantly higher in boys from densely populated neighborhoods, the association was not significant in girls. Accordingly, boys living outside cities had significantly lower HCC than boys, living in cities. HCC was significantly lower in adolescents with an optimal vitality, a measure of a positive mental health status. In adolescent girls, menarcheal status (pre-/postmenarche) was a significant determinant of HCC. Our findings are the first to suggest that residential urbanicity may have an impact on chronic biological stress in a general population of adolescent boys.
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Affiliation(s)
- Veerle J Verheyen
- VITO Health, Flemish Institute for Technological Research (VITO), Antwerp, Belgium.,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Sylvie Remy
- VITO Health, Flemish Institute for Technological Research (VITO), Antwerp, Belgium
| | - Eva Govarts
- VITO Health, Flemish Institute for Technological Research (VITO), Antwerp, Belgium
| | - Ann Colles
- VITO Health, Flemish Institute for Technological Research (VITO), Antwerp, Belgium
| | - Gudrun Koppen
- VITO Health, Flemish Institute for Technological Research (VITO), Antwerp, Belgium
| | | | - Flemming Nielsen
- Institute of Public Health, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark
| | - Liesbeth Bruckers
- I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Esmée M Bijnens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Stijn Vos
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Bert Morrens
- Department of Sociology, Faculty of Social Sciences, University of Antwerp, Antwerp, Belgium
| | - Dries Coertjens
- Department of Sociology, Faculty of Social Sciences, University of Antwerp, Antwerp, Belgium
| | - Ilse Loots
- Department of Sociology, Faculty of Social Sciences, University of Antwerp, Antwerp, Belgium
| | - Annelies De Decker
- Provincial Institute of Hygiene, Provincial Research Centre for Environment and Health, Antwerp, Belgium
| | - Carmen Franken
- Provincial Institute of Hygiene, Provincial Research Centre for Environment and Health, Antwerp, Belgium
| | - Elly Den Hond
- Provincial Institute of Hygiene, Provincial Research Centre for Environment and Health, Antwerp, Belgium
| | - Vera Nelen
- Provincial Institute of Hygiene, Provincial Research Centre for Environment and Health, Antwerp, Belgium
| | - Stefaan De Henauw
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Adrian Covaci
- Toxicological Centre, University of Antwerp, Antwerp, Belgium
| | - Nicolas Van Larebeke
- Analytical, Environmental and Geo-Chemistry, Vrije Universiteit Brussel, Brussels, Belgium.,Department of Radiotherapy and Experimental Cancerology, Ghent University, Ghent, Belgium
| | - Caroline Teughels
- Flemish Planning Bureau for the Environment and Spatial Development, Brussels, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Greet Schoeters
- VITO Health, Flemish Institute for Technological Research (VITO), Antwerp, Belgium.,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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The Impact of Air Quality on Effective Labor Supply: Based on the Survey Data of Zhejiang Province in China. SUSTAINABILITY 2021. [DOI: 10.3390/su13074012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Labor is one of the most important factors of production and the basis for the development of social productivity. China’s aging population problem is serious, and the study of the labor supply is of great importance in order to achieve its second centenary goal regarding social development. In this study, four stage mixed sampling was used to conduct a questionnaire survey in the Zhejiang province of China, and 590 valid questionnaires were obtained. An ordered logit model and sample selection model were used to analyze the impact of air quality on the effective labor supply. The results show that the effective labor supply was significantly correlated with air quality. That is, the worse the air quality was, the lower the effective labor supply was, although this relationship was more explicit for people who worked indoors. When air quality impedes residents’ daily lives and even affects their health, it indirectly affects the effective supply of local labor. This paper indicates the causal relationship between economic development and the ecological environment and has enlightening significance for the realization of sustainable development.
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Crouse DL, Pinault L, Christidis T, Lavigne E, Thomson EM, Villeneuve PJ. Residential greenness and indicators of stress and mental well-being in a Canadian national-level survey. ENVIRONMENTAL RESEARCH 2021; 192:110267. [PMID: 33027630 DOI: 10.1016/j.envres.2020.110267] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 09/20/2020] [Accepted: 09/21/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Residential proximity to greenness in urban areas has been shown to confer a number of health benefits, including improved mental health. We investigated whether greenness was associated with self-reported stress, distress, and mental health among adult participants of multiple cycles of a national Canadian health survey, and whether these associations varied by sex, age, income, and neighbourhood characteristics. METHODS Our study population included 397,900 participants of the Canadian Community Health Survey, 18 years of age or older, who lived in census metropolitan areas between 2000 and 2015. We used the Normalized Difference Vegetation Index (NDVI) to characterize participants' exposure to greenness within 250 m, 500 m, and 1 km buffers from a representative location of their postal code. Health outcomes included: self-reported perceptions of life stress, psychological distress, and self-rated mental health. We used multiple regression models, adjusted for relevant individual and neighbourhood-level variables to estimate associations (and 95% confidence intervals) between each outcome and exposure to greenness. FINDINGS In models with all participants, we observed 6% lower odds of poor self-rated mental health per increase in the interquartile range (i.e., 0.12) of NDVI within a 500 m buffer. Across the three outcomes, we found substantial heterogeneity in effect size across categories of sex, age, and community-level indicators of deprivation and urban form. For example, each incremental increase in greenness exposure was associated with a reduction of 0.61 (95% CI: 0.81 to -0.51) on the K10 psychological distress score among those living in the active core of cities, and with an increase of 0.07 (95% CI: 0.03-0.12) on this score among those living in the most suburban areas. CONCLUSIONS Our results indicate that the potential benefits of residential greenness on mental health vary across personal and neighbourhood-level characteristics and are sensitive to how the outcome is measured. Additional research is needed to understand which features of greenness are most relevant to different sub-groups of the population to maximize these health benefits.
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Affiliation(s)
| | - Lauren Pinault
- Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
| | | | - Eric Lavigne
- Air Health Science Division, Health Canada, Ottawa, ON, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Errol M Thomson
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada; Department of Biochemistry, Microbiology and Immunology, University of Ottawa, ON, Canada
| | - Paul J Villeneuve
- School of Mathematics and Statistics and Department of Neuroscience, Carleton University, Ottawa, ON, Canada
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