1
|
Luo X, Wang Y, Zhu Z, Ping J, Hou B, Shan W, Feng Z, Lin Y, Zhang L, Zhang Y, Wang Y. Association between window ventilation frequency and depressive symptoms among older Chinese adults. J Affect Disord 2024; 368:607-614. [PMID: 39303883 DOI: 10.1016/j.jad.2024.09.122] [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] [Received: 01/18/2024] [Revised: 09/15/2024] [Accepted: 09/17/2024] [Indexed: 09/22/2024]
Abstract
OBJECTIVES Indoor air pollution exposure is harmful to people's physical and mental health, especially in the elderly population. Depressive symptoms are the most common mental health issue among elderly individuals. However, evidence linking the frequency of indoor natural ventilation to depressive symptoms in the elderly population is limited. METHODS This study included 7887 individuals 65 years and older from 2017 to 2018 the China Longitudinal Healthy Longevity Survey (CLHLS). The frequency of indoor window ventilation was measured as the self-reported times of ventilation of indoor window per week in each season, and the four seasons' scores were added up to calculate the annual ventilation frequency. Depressive symptoms were measured by the 10-item Center for Epidemiologic Studies Short Depression Scale (CESD). Using three models adjusted for demographic, socio-economic, health status, and environmental factors successively, the correlation between indoor window ventilation frequency and depressive symptoms was verified through logistic regression. RESULTS Among the 7887 elderly people included in this study, 1952 (24.7 %) had depressive symptoms. In the fully adjusted model, compared with the lower indoor annual ventilation frequency group, high indoor annual ventilation frequency group was significantly associated with a 33 % (OR: 0.67, 95%CI: 0.51-0.88) lower probability of depressive symptoms. Subgroup analysis and sensitivity analysis yielded similar results. CONCLUSIONS High frequency of window ventilation is significantly associated with the lower risk of depressive symptoms in Chinese individuals aged 65 and older. This result provides strong evidence for health intervention and policy formulation.
Collapse
Affiliation(s)
- Xinxin Luo
- Department of Psychiatry, The Third People's Hospital of Zhongshan City, Zhongshan, China
| | - Yuanlong Wang
- Department of Psychiatry, The Third People's Hospital of Zhongshan City, Zhongshan, China
| | - Zifan Zhu
- Anhui Mental Health Center, The Fourth People's Hospital, Hefei, China
| | - Junjiao Ping
- Department of Psychiatry, The Third People's Hospital of Zhongshan City, Zhongshan, China
| | - Biao Hou
- Capital Medical University, Beijing, China
| | - Wei Shan
- South China University of Technology, Guangzhou, Guangdong, China
| | - Zisheng Feng
- Shenzhen Mental Health Centre, Shenzhen Kangning Hospital, Shenzhen, China
| | - Yanan Lin
- Shenzhen Mental Health Centre, Shenzhen Kangning Hospital, Shenzhen, China
| | - Liangying Zhang
- Shenzhen Mental Health Centre, Shenzhen Kangning Hospital, Shenzhen, China
| | - Yingli Zhang
- Shenzhen Mental Health Centre, Shenzhen Kangning Hospital, Shenzhen, China.
| | - Yongjun Wang
- Shenzhen Mental Health Centre, Shenzhen Kangning Hospital, Shenzhen, China; Department of Psychiatry, The Third People's Hospital of Zhongshan City, Zhongshan, China.
| |
Collapse
|
2
|
Zhu X, Chen R, Yuan J, Liu Y, Wang Y, Ji X, Kan H, Zhao J. Hourly Heat Exposure and Acute Ischemic Stroke. JAMA Netw Open 2024; 7:e240627. [PMID: 38416489 PMCID: PMC10902723 DOI: 10.1001/jamanetworkopen.2024.0627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 01/08/2024] [Indexed: 02/29/2024] Open
Abstract
Importance Previous studies have demonstrated the associations of daily high temperature with hospitalizations and mortality from ischemic stroke, but the hourly association of ambient heat and acute ischemic stroke (AIS) onset has been rarely examined. Objectives To evaluate the association between hourly high ambient temperature and the onset of AIS. Design, Setting, and Participants This time-stratified case-crossover study was conducted using a nationwide registry that collects data from more than 200 stroke centers in China. Participants were adult patients with AIS who were hospitalized in the warm seasons between January 1, 2019, and December 31, 2021. Exposures Hourly temperature and single-hour temperature exposure lag up to 24 hours before the AIS onset (lag 0 hours to lag 24 hours). Main Outcomes and Measures The main outcome was onset of AIS. Associations between hourly mean temperatures and AIS onset were analyzed using conditional logistic regression integrated with the distributed lag nonlinear model. Stratification analyses were applied to examine potential association modifiers. Several sensitivity analyses were conducted to examine the robustness of the results. Results A total of 82 455 patients with AIS (mean [SD] age, 65.8 [11.9] years; 52 267 males [63.4%]) were included in the final analysis. A monotonically increasing risk of AIS onset was associated with higher temperatures. The excess AIS risk occurred immediately at lag 0 hours and persisted for 10 hours. Compared with the reference temperature (12.1 °C), the cumulative odds ratio (OR) over lag 0 to 10 hours of AIS onset associated with extremely high temperature (33.3 °C) was 1.88 (95% CI, 1.65-2.13) nationwide. The exposure-response curve was steeper in the north than in the south (OR, 1.80 [95% CI, 1.53-2.11] vs 1.57 [95% CI, 1.31-1.87]). The ORs were greater for males and patients with a history of dyslipidemia or atrial fibrillation, but the differences were not significant. Conclusions and Relevance Results of this study suggest that hourly heat exposure is associated with increased risk of AIS onset. This finding may benefit the formulation of public health strategies to reduce cerebrovascular risk associated with high ambient temperature under global warming.
Collapse
Affiliation(s)
- Xinlei Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jing Yuan
- Minhang Hospital and School of Pharmacy, Fudan University, Shanghai, China
| | - Yang Liu
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
| | - Yong Wang
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
| | - Xunming Ji
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jing Zhao
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
| |
Collapse
|
3
|
Lo Y, Vosper E, Higgins JP, Howard G. Heat impacts on human health in the Western Pacific Region: an umbrella review. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 42:100952. [PMID: 38022710 PMCID: PMC10652124 DOI: 10.1016/j.lanwpc.2023.100952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 10/13/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023]
Abstract
Background High temperatures and heatwaves are occurring more frequently and lasting longer because of climate change. A synthesis of existing evidence of heat-related health impacts in the Western Pacific Region (WPR) is lacking. This review addresses this gap. Methods The Scopus and PubMed databases were searched for reviews about heat impacts on mortality, cardiovascular morbidity, respiratory morbidity, dehydration and heat stroke, adverse birth outcomes, and sleep disturbance. The last search was conducted in February 2023 and only publications written in English were included. Primary studies and reviews that did not include specific WPR data were excluded. Data were extracted from 29 reviews. Findings There is strong evidence of heat-related mortality in the WPR, with the evidence concentrating on high-income countries and China. Associations between heat and cardiovascular or respiratory morbidity are not robust. There is evidence of heat-related dehydration and stroke, and preterm and still births in high-income countries in the WPR. Some evidence of sleep disturbance from heat is found for Australia, Japan and China. Interpretation Mortality is by far the most studied and robust health outcome of heat. Future research should focus on morbidity, and lower income countries in continental Asia and Pacific Island States, where there is little review-level evidence. Funding Funded by the World Health Organization WPR Office.
Collapse
Affiliation(s)
- Y.T.Eunice Lo
- Cabot Institute for the Environment, University of Bristol, UK
- Elizabeth Blackwell Institute for Health Research, University of Bristol, UK
| | - Emily Vosper
- Cabot Institute for the Environment, University of Bristol, UK
- School of Geographical Sciences, University of Bristol, UK
| | - Julian P.T. Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Guy Howard
- Cabot Institute for the Environment, University of Bristol, UK
- School of Civil, Aerospace and Design Engineering, University of Bristol, UK
| |
Collapse
|
4
|
Ji JS, Xia Y, Liu L, Zhou W, Chen R, Dong G, Hu Q, Jiang J, Kan H, Li T, Li Y, Liu Q, Liu Y, Long Y, Lv Y, Ma J, Ma Y, Pelin K, Shi X, Tong S, Xie Y, Xu L, Yuan C, Zeng H, Zhao B, Zheng G, Liang W, Chan M, Huang C. China's public health initiatives for climate change adaptation. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 40:100965. [PMID: 38116500 PMCID: PMC10730322 DOI: 10.1016/j.lanwpc.2023.100965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/01/2023] [Accepted: 11/01/2023] [Indexed: 12/21/2023]
Abstract
China's health gains over the past decades face potential reversals if climate change adaptation is not prioritized. China's temperature rise surpasses the global average due to urban heat islands and ecological changes, and demands urgent actions to safeguard public health. Effective adaptation need to consider China's urbanization trends, underlying non-communicable diseases, an aging population, and future pandemic threats. Climate change adaptation initiatives and strategies include urban green space, healthy indoor environments, spatial planning for cities, advance location-specific early warning systems for extreme weather events, and a holistic approach for linking carbon neutrality to health co-benefits. Innovation and technology uptake is a crucial opportunity. China's successful climate adaptation can foster international collaboration regionally and beyond.
Collapse
Affiliation(s)
- John S. Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yanjie Xia
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Linxin Liu
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Weiju Zhou
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National School of Public Health, Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Guanghui Dong
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Qinghua Hu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Jingkun Jiang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National School of Public Health, Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Li
- Public Meteorological Service Centre, China Meteorological Administration, Beijing, China
| | - Qiyong Liu
- National Institute of Infectious Diseases at China, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanxiang Liu
- Public Meteorological Service Centre, China Meteorological Administration, Beijing, China
| | - Ying Long
- School of Architecture, Tsinghua University, Beijing, China
| | - Yuebin Lv
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jian Ma
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yue Ma
- School of Architecture, Tsinghua University, Beijing, China
| | - Kinay Pelin
- School of Climate Change and Adaptation, University of Prince Edward Island, Prince Edward Island, Canada
| | - Xiaoming Shi
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shilu Tong
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Queensland University of Technology, Brisbane, Australia
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, China
| | - Lei Xu
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Changzheng Yuan
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Huatang Zeng
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
| | - Bin Zhao
- Department of Building Science, School of Architecture, Tsinghua University, Beijing, China
| | - Guangjie Zheng
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Margaret Chan
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| |
Collapse
|
5
|
Vafeiadou A, Banissy MJ, Banissy JF, Higgins JP, Howard G. The influence of climate change on mental health in populations of the western Pacific region: An umbrella scoping review. Heliyon 2023; 9:e21457. [PMID: 38053883 PMCID: PMC10694052 DOI: 10.1016/j.heliyon.2023.e21457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/27/2023] [Accepted: 10/21/2023] [Indexed: 12/07/2023] Open
Abstract
The Western Pacific Region (WPR) is on the front line of climate change challenges. Understanding how these challenges affect the WPR populations' mental health is essential to design effective prevention and care policies. Thus, the present study conducted an umbrella scoping review that examined the influence of climate change on mental health in the WPR, using review articles as a source of information. Ten review articles were selected according to eligibility criteria, and the findings were synthesized according to the socio-economic status of the countries identified: Australia, the Republic of Korea, the Philippines, Vietnam, the Pacific Islands (broadly), and China. The findings revealed that each country and sub-region has its own unique profile of climate change-related challenges and vulnerable populations, highlighting the need for specific approaches to mental health care. Specifically, the influence of climate-related challenges differed according to populations' region (e.g., rural populations), demographic characteristics (e.g., age and gender), culture (e.g., traditional tights to land), and employment (e.g., farmers and fishers). The most frequently reported mental health outcomes in response to climate change-related challenges such as droughts, floods, storms, tornadoes, typhoons, and climate-related migration were the decline in mental well-being and the increase in post-traumatic stress disorder symptoms. In addition, using the GRADE framework for assessing the certainty of the findings, we identified that the number of articles discussing associations between a given climate change challenge and a mental health outcome was overall limited. Based on our findings and findings on a global scale, we identified several key research gaps in WPR and provided recommendations for future research and policy strategies.
Collapse
Affiliation(s)
| | - Michael J. Banissy
- Department of Psychology, Goldsmiths, University of London, London, UK
- School of Psychological Science, University of Bristol, Bristol, UK
| | | | - Julian P.T. Higgins
- Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Guy Howard
- Cabot Institute, University of Bristol, Bristol, UK
| |
Collapse
|
6
|
Zhu X, Chen R, Zhang Y, Hu J, Jiang Y, Huang K, Wang J, Li W, Shi B, Chen Y, Li L, Li B, Cheng X, Yu B, Wang Y, Kan H. Low ambient temperature increases the risk and burden of atrial fibrillation episodes: A nationwide case-crossover study in 322 Chinese cities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163351. [PMID: 37030388 DOI: 10.1016/j.scitotenv.2023.163351] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/23/2023] [Accepted: 04/03/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Non-optimum ambient temperature has recently been acknowledged as an independent risk factor for disease burden, but its impact on atrial fibrillation (AF) episodes was rarely evaluated. OBJECTIVES To examine the associations between ambient non-optimum temperature and symptom onset of AF episodes and calculate the corresponding disease burden. METHODS We conducted an individual-level, time-stratified, case-crossover analysis based on a nationwide registry, which comprises of 94,711 eligible AF patients from 1993 hospitals in 322 Chinese cities from January 2015 to December 2021. Multiple moving 24 h average temperatures prior to the symptom onset of AF episodes were calculated as lag days. The associations were analyzed using conditional logistic regression combined with distributed lag non-linear models with a duration of lag 0-7 days, after controlling for criteria air pollutants. Stratification analyses were performed to explore possible effect modifiers. RESULTS There was a monotonically increasing relationship of AF onset risk with decreasing temperature. The excess AF risk occurred at lag 1 d and lasted for 5 days. Nationally, the cumulative relative risk of AF episode onset associated with extremely low temperature (-9.3 °C) over lag 0-7 d was 1.25 (95 % confidence interval: 1.08, 1.45), compared with the reference temperature (31.5 °C). The exposure-response curve was steeper in the south than in the north where there was levelling-off at lower temperature. Nationally, 7.59 % of acute AF episodes could be attributable to non-optimum temperatures. The attributable fraction was larger for southern residents, males and patients <65 years. CONCLUSION This nationwide study provides novel and robust evidence that declining ambient temperature could increase the risk of AF episode onset. We also provide the first-hand evidence that a considerable proportion of acute AF episodes could be attributable to non-optimum temperatures.
Collapse
Affiliation(s)
- Xinlei Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yong Zhang
- Department of Emergency, Wuhan Asia General Hospital, Wuhan, China
| | - Jialu Hu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Kai Huang
- Department of Cardiology, Institute of Cardiovascular Disease, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianan Wang
- Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Wei Li
- Department of Cardiology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Bei Shi
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yundai Chen
- Senior Department of Cardiology, the Sixth Medical Center of PLA General Hospital, Beijing, China
| | - Lang Li
- Department of Cardiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Bao Li
- Department of Cardiology, the Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiaoshu Cheng
- Department of Cardiology, the Second Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Bo Yu
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Yan Wang
- Department of Cardiology, Xiamen Cardiovascular Hospital Xiamen University, Xiamen, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China.
| |
Collapse
|
7
|
Roberts M, Colley K, Currie M, Eastwood A, Li KH, Avery LM, Beevers LC, Braithwaite I, Dallimer M, Davies ZG, Fisher HL, Gidlow CJ, Memon A, Mudway IS, Naylor LA, Reis S, Smith P, Stansfeld SA, Wilkie S, Irvine KN. The Contribution of Environmental Science to Mental Health Research: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5278. [PMID: 37047894 PMCID: PMC10094550 DOI: 10.3390/ijerph20075278] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 02/22/2023] [Accepted: 02/28/2023] [Indexed: 06/19/2023]
Abstract
Mental health is influenced by multiple complex and interacting genetic, psychological, social, and environmental factors. As such, developing state-of-the-art mental health knowledge requires collaboration across academic disciplines, including environmental science. To assess the current contribution of environmental science to this field, a scoping review of the literature on environmental influences on mental health (including conditions of cognitive development and decline) was conducted. The review protocol was developed in consultation with experts working across mental health and environmental science. The scoping review included 202 English-language papers, published between 2010 and 2020 (prior to the COVID-19 pandemic), on environmental themes that had not already been the subject of recent systematic reviews; 26 reviews on climate change, flooding, air pollution, and urban green space were additionally considered. Studies largely focused on populations in the USA, China, or Europe and involved limited environmental science input. Environmental science research methods are primarily focused on quantitative approaches utilising secondary datasets or field data. Mental health measurement was dominated by the use of self-report psychometric scales. Measures of environmental states or exposures were often lacking in specificity (e.g., limited to the presence or absence of an environmental state). Based on the scoping review findings and our synthesis of the recent reviews, a research agenda for environmental science's future contribution to mental health scholarship is set out. This includes recommendations to expand the geographical scope and broaden the representation of different environmental science areas, improve measurement of environmental exposure, prioritise experimental and longitudinal research designs, and giving greater consideration to variation between and within communities and the mediating pathways by which environment influences mental health. There is also considerable opportunity to increase interdisciplinarity within the field via the integration of conceptual models, the inclusion of mixed methods and qualitative approaches, as well as further consideration of the socio-political context and the environmental states that can help support good mental health. The findings were used to propose a conceptual model to parse contributions and connections between environmental science and mental health to inform future studies.
Collapse
Affiliation(s)
- Michaela Roberts
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Kathryn Colley
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Margaret Currie
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Antonia Eastwood
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Kuang-Heng Li
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Lisa M. Avery
- Environmental and Biochemical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| | - Lindsay C. Beevers
- Institute of Infrastructure and Environment, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Isobel Braithwaite
- UCL Institute of Health Informatics, 222 Euston Road, London NW1 2DA, UK
| | - Martin Dallimer
- Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK
| | - Zoe G. Davies
- Durrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury, Kent CT2 7NR, UK
| | - Helen L. Fisher
- King’s College London, Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, 16 De Crespigny Park, London SE5 8AF, UK
- Economic & Social Research Council (ESRC) Centre for Society and Mental Health, King’s College London, 44-46 Aldwych, London WC2B 4LL, UK
| | - Christopher J. Gidlow
- Centre for Health and Development (CHAD), Staffordshire University, Leek Road, Stoke-on-Trent ST4 2DF, UK
| | - Anjum Memon
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton BN1 9PH, UK
| | - Ian S. Mudway
- MRC Centre for Environment and Health, Imperial College London, White City Campus, London W12 0BZ, UK
- NIHR Health Protection Research Units in Environmental Exposures and Health, and Chemical and Radiation Threats and Hazards, Imperial College London, White City Campus, London W12 0BZ, UK
| | - Larissa A. Naylor
- School of Geographical & Earth Sciences, East Quadrangle, University of Glasgow, Glasgow G12 8QQ, UK
| | - Stefan Reis
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik EH26 0QB, UK
- European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Truro, Cornwall TR1 3HD, UK
| | - Pete Smith
- Institute of Biological and Environmental Sciences, University of Aberdeen, 23 St Machar Drive, Aberdeen AB24 3UU, UK
| | - Stephen A. Stansfeld
- Centre for Psychiatry, Barts and the London School of Medicine, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Stephanie Wilkie
- School of Psychology, Murray Library, City Campus, University of Sunderland, Sunderland SR1 3SD, UK
| | - Katherine N. Irvine
- Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland AB15 8QH, UK
| |
Collapse
|
8
|
Zhao J, Yang F, Guo Y, Ren X. A CAST-Based Analysis of the Metro Accident That Was Triggered by the Zhengzhou Heavy Rainstorm Disaster. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10696. [PMID: 36078412 PMCID: PMC9518579 DOI: 10.3390/ijerph191710696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/14/2022] [Accepted: 08/24/2022] [Indexed: 06/15/2023]
Abstract
Emergency management research is used to deal with the increasing number of extreme weather threats in urban areas. This paper uses causal analysis based on systems theory (CAST) to review the subway water ingress accident and the government's emergency management actions in Zhengzhou, Henan Province, during the heavy rainstorm disaster on 20 July 2021. The aims of this article are to establish safety control structures at both the enterprise level and the government level, and to systematically analyze the problems in emergency management in Zhengzhou City. Our analysis found that the construction of disaster prevention facilities restricted emergency management. Therefore, we suggest that enterprises and governments not only pay attention to emergency management, but also to the construction of disaster prevention facilities. This article also points out that the system of chief executive responsibility that is implemented in China is becoming a double-edged sword in emergency management. Our study makes recommendations for enhancing the capacities of emergency management, points out the shortcomings of the existing emergency management structure, and provides knowledge gained for future emergency management research.
Collapse
Affiliation(s)
- Jiale Zhao
- College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350116, China
| | - Fuqiang Yang
- College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350116, China
| | - Yong Guo
- College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350116, China
| | - Xin Ren
- Safety and Security Science Group, Faculty of Technology, Policy and Management, Delft University of Technology, 2628 BX Delft, The Netherlands
| |
Collapse
|
9
|
Abstract
PURPOSE OF REVIEW With cardiovascular disease (CVD) being the top cause of deaths worldwide, it is important to ensure healthy cardiovascular aging through enhanced understanding and prevention of adverse health effects exerted by external factors. This review aims to provide an updated understanding of environmental influences on cardiovascular aging, by summarizing epidemiological and mechanistic evidence for the cardiovascular health impact of major environmental stressors, including air pollution, endocrine-disrupting chemicals (EDCs), metals, and climate change. RECENT FINDINGS Recent studies generally support positive associations of exposure to multiple chemical environmental stressors (air pollution, EDCs, toxic metals) and extreme temperatures with increased risks of cardiovascular mortality and morbidity in the population. Environmental stressors have also been associated with a number of cardiovascular aging-related subclinical changes including biomarkers in the population, which are supported by evidence from relevant experimental studies. The elderly and patients are the most vulnerable demographic groups to majority environmental stressors. Future studies should account for the totality of individuals' exposome in addition to single chemical pollutants or environmental factors. Specific factors most responsible for the observed health effects related to cardiovascular aging remain to be elucidated.
Collapse
Affiliation(s)
- Yang Lan
- 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 City, Shaanxi Province, 710061, People's Republic of 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
| | - 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 City, Shaanxi Province, 710061, People's Republic of 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.
| |
Collapse
|
10
|
Qiu C, Ji JS, Bell ML. Effect modification of greenness on temperature-mortality relationship among older adults: A case-crossover study in China. ENVIRONMENTAL RESEARCH 2021; 197:111112. [PMID: 33838131 PMCID: PMC8343965 DOI: 10.1016/j.envres.2021.111112] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 03/20/2021] [Accepted: 03/28/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Climate change exacerbates temperature-related mortality, but effects may vary by geographic characteristics. We hypothesize that higher greenness may mitigate temperature-related mortality, and that the effect may vary in different areas. OBJECTIVE We examined how mortality among older adults in China was associated with temperature for 2000-2014, and how geolocation and residential greenness may modulate this association. METHODS We used health data from the China Longitudinal Healthy Longevity Survey (CLHLS), and meteorological data from the Global Surface Summary of Day (GSOD) product by National Climate Data Center. We used a case-crossover study design with distributed nonlinear modeling to estimate mortality risks in relation to temperature, and stratified analysis by quartile of greenness. Greenness was estimated by Normalized Difference Vegetation Index (NDVI) from remote-sensed imagery. In addition to the national analysis, we also assessed three provinces (Jiangsu, Guangdong, and Liaoning) to examine differences by climatic regions. RESULTS Extreme temperatures had a significant association with higher mortality, with regional differences. Findings from the national analysis suggest that individuals in the lowest quartile of greenness exposure had a ratio of relative risks (RRR) of 1.38 (0.79, 2.42) for mortality risk on extreme hot days at the 95th percentile compared to those at the 50th percentile, compared to those in the highest quartile, which means those residing in the lowest quartile of greenness had a 38% higher RR than those residing in the highest quartile of greenness, where RR refers to the risk of mortality on days at the 95th percentile of temperature compared to days at the 50th percentile. The RRR for the highest to lowest quartiles of greenness for mortality risk on extreme cold days at the 5th percentile compared to the 50th percentile was 2.08 (0.12, 36.2). In Jiangsu and Guangdong provinces, both the heat effects and cold effects were the lowest in the highest greenness quartile, and the results in Liaoning province were not statistically significant, indicating different regional effects of greenness on modulating the temperature-mortality relationship. DISCUSSION We elucidated one pathway through which greenness benefits health by decreasing impact from extreme high temperatures. The effects of greenness differed by climatic regions. Policymakers should consider vegetation in the context of climate change and health.
Collapse
Affiliation(s)
- Chengcheng Qiu
- School of Public Health, Yale University, New Haven, CT, USA
| | - John S Ji
- Environmental Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Nicholas School of the Environment, Duke University, Durham, NC, USA.
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
| |
Collapse
|
11
|
Cai W, Zhang C, Suen HP, Ai S, Bai Y, Bao J, Chen B, Cheng L, Cui X, Dai H, Di Q, Dong W, Dou D, Fan W, Fan X, Gao T, Geng Y, Guan D, Guo Y, Hu Y, Hua J, Huang C, Huang H, Huang J, Jiang T, Jiao K, Kiesewetter G, Klimont Z, Lampard P, Li C, Li Q, Li R, Li T, Lin B, Lin H, Liu H, Liu Q, Liu X, Liu Y, Liu Z, Liu Z, Liu Z, Lou S, Lu C, Luo Y, Ma W, McGushin A, Niu Y, Ren C, Ren Z, Ruan Z, Schöpp W, Su J, Tu Y, Wang J, Wang Q, Wang Y, Wang Y, Watts N, Xiao C, Xie Y, Xiong H, Xu M, Xu B, Xu L, Yang J, Yang L, Yu L, Yue Y, Zhang S, Zhang Z, Zhao J, Zhao L, Zhao M, Zhao Z, Zhou J, Gong P. The 2020 China report of the Lancet Countdown on health and climate change. Lancet Public Health 2021; 6:e64-e81. [PMID: 33278345 PMCID: PMC7966675 DOI: 10.1016/s2468-2667(20)30256-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/05/2020] [Accepted: 10/14/2020] [Indexed: 12/16/2022]
Affiliation(s)
- Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Chi Zhang
- Institute of Population Research, Peking University, Beijing, China
| | - Hoi Ping Suen
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Siqi Ai
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuqi Bai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Junzhe Bao
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Bin Chen
- School of Environment, Beijing Normal University, Beijing, China
| | - Liangliang Cheng
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xueqin Cui
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Hancheng Dai
- College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Wenxuan Dong
- Institute of Public Safety Research, Tsinghua University, Beijing, China; Department of Engineering Physics, Tsinghua University, Beijing, China
| | | | - Weicheng Fan
- Institute of Public Safety Research, Tsinghua University, Beijing, China; Department of Engineering Physics, Tsinghua University, Beijing, China
| | - Xing Fan
- Institute of Environment and Ecology, Shandong Normal University, Jinan, China
| | - Tong Gao
- School of Business, Shandong Normal University, Jinan, China
| | - Yang Geng
- School of Architecture, Tsinghua University, Beijing, China
| | - Dabo Guan
- Department of Earth System Science, Tsinghua University, Beijing, China; The Bartlett School of Construction and Project Management, Institute for Global Health, University College London, London, UK
| | - Yafei Guo
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; Chinese Center for Disease Control and Prevention Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yixin Hu
- Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China
| | - Junyi Hua
- Faculty of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, China; College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Hong Huang
- Institute of Public Safety Research, Tsinghua University, Beijing, China; Department of Engineering Physics, Tsinghua University, Beijing, China
| | - Jianbin Huang
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Tingting Jiang
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Kedi Jiao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Zbigniew Klimont
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Pete Lampard
- Department of Health Sciences, University of York, York, UK
| | - Chuanxi Li
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Qiwei Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, China
| | - Ruiqi Li
- Institute of Public Safety Research, Tsinghua University, Beijing, China; Department of Engineering Physics, Tsinghua University, Beijing, China
| | - Tiantian Li
- Chinese Center for Disease Control and Prevention Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Borong Lin
- School of Architecture, Tsinghua University, Beijing, China
| | - Hualiang Lin
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Huan Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaobo Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yufu Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Zhao Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Zhidong Liu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhu Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Shuhan Lou
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Chenxi Lu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yong Luo
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Wei Ma
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China; Shandong University Climate Change and Health Center, Shandong University, Jinan, China
| | - Alice McGushin
- Institute for Global Health, University College London, London, UK
| | - Yanlin Niu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chao Ren
- Faculty of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Zhehao Ren
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Zengliang Ruan
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wolfgang Schöpp
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Jing Su
- School of Humanities, Tsinghua University, Beijing, China
| | - Ying Tu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Jie Wang
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yaqi Wang
- People's Bank of China School of Finance, Tsinghua University, Beijing, China; Research Center for Public Health, Tsinghua University, Beijing, China
| | - Yu Wang
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Nick Watts
- Institute for Global Health, University College London, London, UK
| | - Congxi Xiao
- School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, China
| | - Hui Xiong
- Rutgers Business School, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA
| | - Mingfang Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bing Xu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Lei Xu
- Department of Earth System Science, Tsinghua University, Beijing, China; State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Lianping Yang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Le Yu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yujuan Yue
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shaohui Zhang
- School of Economics and Management, Beihang University, Beijing, China; Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | | | - Jiyao Zhao
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Liang Zhao
- The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Mengzhen Zhao
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Zhe Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | | | - Peng Gong
- Department of Earth System Science, Tsinghua University, Beijing, China.
| |
Collapse
|
12
|
Climate Change as an Involuntary Exposure: A Comparative Risk Perception Study from Six Countries across the Global Development Gradient. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17061894. [PMID: 32183303 PMCID: PMC7143123 DOI: 10.3390/ijerph17061894] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 02/23/2020] [Accepted: 03/12/2020] [Indexed: 12/14/2022]
Abstract
Climate change has been referred to as an involuntary exposure, meaning people do not voluntarily put themselves at risk for climate-related ill health or reduced standard of living. The purpose of this study is to examine people’s risk perceptions and related beliefs regarding (1) the likelihood of different risks occurring at different times and places and (2) collective (government) responsibility and personal efficacy in dealing with climate change, as well as (3) explore the ways in which climate risk may be amplified when posed against individual health and well-being. Previous research on this topic has largely focused on one community or one nation state, and so a unique characteristic of this study is the comparison between six different city (country) sites by their development and national wealth. Here, we collected 401 surveys from Phoenix (USA), Brisbane (Australia), Wellington (New Zealand), Shanghai (China), Viti Levu (Fiji), and Mexico City (Mexico). Results suggest that the hyperopia effect characterized the sample from each study site but was more pronounced in developed sites, suggesting that the more developed sites employ a broader perspective when approaching ways to mitigate their risk against climate-related health and well-being impacts.
Collapse
|
13
|
Cianconi P, Betrò S, Janiri L. The Impact of Climate Change on Mental Health: A Systematic Descriptive Review. Front Psychiatry 2020; 11:74. [PMID: 32210846 PMCID: PMC7068211 DOI: 10.3389/fpsyt.2020.00074] [Citation(s) in RCA: 271] [Impact Index Per Article: 67.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 01/28/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Climate change is one of the great challenges of our time. The consequences of climate change on exposed biological subjects, as well as on vulnerable societies, are a concern for the entire scientific community. Rising temperatures, heat waves, floods, tornadoes, hurricanes, droughts, fires, loss of forest, and glaciers, along with disappearance of rivers and desertification, can directly and indirectly cause human pathologies that are physical and mental. However, there is a clear lack in psychiatric studies on mental disorders linked to climate change. METHODS Literature available on PubMed, EMBASE, and Cochrane library until end of June 2019 were reviewed. The total number of articles and association reports was 445. From these, 163 were selected. We looked for the association between classical psychiatric disorders such as anxiety schizophrenia, mood disorder and depression, suicide, aggressive behaviors, despair for the loss of usual landscape, and phenomena related to climate change and extreme weather. Review of literature was then divided into specific areas: the course of change in mental health, temperature, water, air pollution, drought, as well as the exposure of certain groups and critical psychological adaptations. RESULTS Climate change has an impact on a large part of the population, in different geographical areas and with different types of threats to public health. However, the delay in studies on climate change and mental health consequences is an important aspect. Lack of literature is perhaps due to the complexity and novelty of this issue. It has been shown that climate change acts on mental health with different timing. The phenomenology of the effects of climate change differs greatly-some mental disorders are common and others more specific in relation to atypical climatic conditions. Moreover, climate change also affects different population groups who are directly exposed and more vulnerable in their geographical conditions, as well as a lack of access to resources, information, and protection. Perhaps it is also worth underlining that in some papers the connection between climatic events and mental disorders was described through the introduction of new terms, coined only recently: ecoanxiety, ecoguilt, ecopsychology, ecological grief, solastalgia, biospheric concern, etc. CONCLUSIONS The effects of climate change can be direct or indirect, short-term or long-term. Acute events can act through mechanisms similar to that of traumatic stress, leading to well-understood psychopathological patterns. In addition, the consequences of exposure to extreme or prolonged weather-related events can also be delayed, encompassing disorders such as posttraumatic stress, or even transmitted to later generations.
Collapse
Affiliation(s)
- Paolo Cianconi
- Department of Neurosciences, Institute of Psychiatry, Catholic University, Rome, Italy
| | | | - Luigi Janiri
- Department of Neurosciences, Institute of Psychiatry, Catholic University, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| |
Collapse
|
14
|
Lam HCY, Haines A, McGregor G, Chan EYY, Hajat S. Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16173146. [PMID: 31466421 PMCID: PMC6747095 DOI: 10.3390/ijerph16173146] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 08/16/2019] [Accepted: 08/24/2019] [Indexed: 02/03/2023]
Abstract
The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964–2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point increase in ONI (p = 0.002). India was found to be the country with the largest increase in flood-related PAD rates following an El Niño event, with the Philippines experiencing the largest increase following La Niña. Multivariate ENSO Index (MEI)-analyses showed consistent results. These findings can be used to inform disaster preparedness strategies.
Collapse
Affiliation(s)
- Holly Ching Yu Lam
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
| | - Andy Haines
- Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK
- Centre for Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK
| | - Glenn McGregor
- Department of Geography, Durham University, Durham DH1 3LE, UK
| | - Emily Ying Yang Chan
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Shakoor Hajat
- Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK.
- Centre for Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK.
| |
Collapse
|