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Hou J, Sun H, Lu B, Yue Y, Li X, Ban K, Fu M, Zhang B, Luo X. Accelerated biological aging mediated associations of ammonium, sulfate in fine particulate matter with liver cirrhosis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172638. [PMID: 38643869 DOI: 10.1016/j.scitotenv.2024.172638] [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: 01/02/2024] [Revised: 04/02/2024] [Accepted: 04/18/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND Although both air pollution and aging are related to the development of liver cirrhosis, the role of biological aging in association of the mixture of fine particulate matter (PM2.5) and its constituents with liver cirrhosis was unknown. METHODS This case-control retrospective study included 100 liver cirrhosis patients and 100 control subjects matched by age and sex. The concentrations of PM2.5 and its constituents were estimated for patients using machine-learning methods. The clinical biomarkers were used to calculate biological age using the Klemera-Doubalmethod (KDM) algorithms. Individual associations of PM2.5 and its constituents or biological age with liver cirrhosis were analyzed by generalized linear models. WQS and BKMR were applied to analyze association of mixture of PM2.5 and its constituents with liver cirrhosis. The mediation effect of biological age on associations of PM2.5 and its constituents with liver cirrhosis was further explored. RESULTS we found that each 1-unit increment in NH4+, NO3-, SO42- and biological age were related to 3.618-fold (95%CI: 1.896, 6.904), 1.880-fold (95%CI: 1.319, 2.680), 2.955-fold (95%CI: 1.656, 5.272) and 1.244-fold (95%CI: 1.093, 1.414) increased liver cirrhosis. Both WQS and BKMR models showed that the mixture of PM2.5 and its constituents was related to increased liver cirrhosis. Furthermore, the mediated proportion of biological age on associations of NH4+ and SO42- with liver cirrhosis were 14.7 % and 14.6 %, respectively. CONCLUSIONS Biological aging may partly explain the exposure to PM2.5 and its constituents in association with increased risk for liver cirrhosis, implying that delaying the aging process may be a key step for preventing PM2.5-related liver cirrhosis risk.
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Affiliation(s)
- Jian Hou
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China; Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Huizhen Sun
- Hubei Provincial Center for Disease Control and Prevention, Hubei, Wuhan, PR China
| | - Bingxin Lu
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China
| | - Yanqin Yue
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China
| | - Xianxi Li
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China
| | - Kangjia Ban
- School of Architecture, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Mengze Fu
- School of Architecture, Zhengzhou University, Zhengzhou, Henan, PR China.
| | - Bingyong Zhang
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China.
| | - Xiaoying Luo
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China.
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2
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Shen T, Rasdi IB, Ezani NEB, San OT. The mediating role of pro-environmental attitude and intention on the translation from climate change health risk perception to pro-environmental behavior. Sci Rep 2024; 14:9831. [PMID: 38684780 PMCID: PMC11059261 DOI: 10.1038/s41598-024-60418-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/23/2024] [Indexed: 05/02/2024] Open
Abstract
Climate change is a serious environmental issue appearing in China. As a public service institution operating around the clock, the negative impact of hospitals on the environment is evident, promoting their workers' pro-environmental behavior (PEB) through increasing climate change health risk perception (CHRP) is an effective method to protect the environment and achieve sustainable development. This study investigates how CHRP shapes pro-environmental attitude (PEA), pro-environmental intention (PEI), and pro-environmental behavior (PEB) among hospital workers. Using structural equation modeling (SEM) to determine the chain of causation from CHRP to PEB among hospital workers. The result shows that CHRP positively affects PEA and PEI, and PEI positively affects their PEB. In addition, although CHRP has no significant direct effect on PEB, it can play a crucial indirect effect through the mediating role of PEI. Moreover, the result of multiple regression shows that there are significant differences regarding PEA, PEI, and PEB.
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Affiliation(s)
- Tao Shen
- Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, University of Putra Malaysia, 43400, Serdang, Selangor, Malaysia
- Clinical Laboratory, Jincheng People's Hospital, Jincheng, China
| | - Irniza Binti Rasdi
- Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, University of Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
| | - Nor Eliani Binti Ezani
- Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, University of Putra Malaysia, 43400, Serdang, Selangor, Malaysia
| | - Ong Tze San
- School of Business and Economics, University of Putra Malaysia, Serdang, Selangor, Malaysia
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3
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Liu L, Zhang W. Contrary to expectation: The surface urban heat island intensity is increasing in population shrinking region while decreasing in population growing region-A comparative analysis from China. PLoS One 2024; 19:e0300635. [PMID: 38498511 PMCID: PMC10947664 DOI: 10.1371/journal.pone.0300635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/02/2024] [Indexed: 03/20/2024] Open
Abstract
Exploring the complex relationship between population change and surface urban heat island (SUHI) effect has important practical significance for the ecological transformation development of shrinking cities in the context of the prevalence of urban shrinkage and the global climate change. This paper compares the population change and SUHI effect between population shrinking region (Northeast Region, NR) and population growing region (Yangtze River Delta, YRD) in China, and explores their differences in driving mechanisms, using GIS spatial analysis and Geodetector model. Our results indicated that there are significant differences in population changes and SUHI intensity between these two regions. About 72.22% of the cities in the NR were shrinking, while their SUHI intensities increased by an average of 1.69°C. On the contrary, the urban population in the YRD shows a linear growth trend, while their SUHI intensities decreased by 0.11°C on average. The results of bivariate Moran's I index also indicated that the spatial correlation between the urban population changes and the SUHI intensity changes are not significant in the above regions. Furthermore, there are significant differences in the primary drivers of SUHI variations between these two regions. In the NR, underlying surface changes, including the changes of green coverage and built-up areas, are the most important driving factors. However, atmospheric environment changes, such as carbon dioxide emission and sulfur dioxide emission, are the key drivers in the YRD. Northam's theory of three-stage urbanization and environmental Kuznets curve hypothesis are powerful to explain these differences.
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Affiliation(s)
- Luofu Liu
- School of Earth and Environmental science, The University of Queensland, Queensland, Australia
| | - Wei Zhang
- School of Geographical Sciences, Southwest University, Chongqing, China
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4
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Sun Y, Zhu S, Wang D, Duan J, Lu H, Yin H, Tan C, Zhang L, Zhao M, Cai W, Wang Y, Hu Y, Tao S, Guan D. Global supply chains amplify economic costs of future extreme heat risk. Nature 2024; 627:797-804. [PMID: 38480894 PMCID: PMC10972753 DOI: 10.1038/s41586-024-07147-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 02/01/2024] [Indexed: 03/18/2024]
Abstract
Evidence shows a continuing increase in the frequency and severity of global heatwaves1,2, raising concerns about the future impacts of climate change and the associated socioeconomic costs3,4. Here we develop a disaster footprint analytical framework by integrating climate, epidemiological and hybrid input-output and computable general equilibrium global trade models to estimate the midcentury socioeconomic impacts of heat stress. We consider health costs related to heat exposure, the value of heat-induced labour productivity loss and indirect losses due to economic disruptions cascading through supply chains. Here we show that the global annual incremental gross domestic product loss increases exponentially from 0.03 ± 0.01 (SSP 245)-0.05 ± 0.03 (SSP 585) percentage points during 2030-2040 to 0.05 ± 0.01-0.15 ± 0.04 percentage points during 2050-2060. By 2060, the expected global economic losses reach a total of 0.6-4.6% with losses attributed to health loss (37-45%), labour productivity loss (18-37%) and indirect loss (12-43%) under different shared socioeconomic pathways. Small- and medium-sized developing countries suffer disproportionately from higher health loss in South-Central Africa (2.1 to 4.0 times above global average) and labour productivity loss in West Africa and Southeast Asia (2.0-3.3 times above global average). The supply-chain disruption effects are much more widespread with strong hit to those manufacturing-heavy countries such as China and the USA, leading to soaring economic losses of 2.7 ± 0.7% and 1.8 ± 0.5%, respectively.
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Affiliation(s)
- Yida Sun
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
| | - Shupeng Zhu
- Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China
- Advanced Power and Energy Program, University of California Irvine, Irvine, CA, USA
| | - Daoping Wang
- Department of Geography, King's College London, London, UK
- Centre for Climate Engagement, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Jianping Duan
- State Key Laboratory of Earth Surface and Ecological Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Hui Lu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
- Tsinghua University (Department of Earth System Science)-Xi'an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping, Beijing, China
| | - Hao Yin
- Department of Economics, University of Southern California, Los Angeles, CA, USA
| | - Chang Tan
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
| | - Lingrui Zhang
- Department of Economics, University of Waterloo, Waterloo, Ontario, Canada
| | - Mengzhen Zhao
- School of Management and Economics, Beijing Institute of Technology, Beijing, China
| | - Wenjia Cai
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
| | - Yong Wang
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
| | - Yixin Hu
- School of Economics and Management, Southeast University, Nanjing, China
| | - Shu Tao
- College of Urban Environment, Peking University, Beijing, China
| | - Dabo Guan
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
- The Bartlett School of Sustainable Construction, University College London, London, UK.
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5
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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.
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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
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6
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Meng W, Kiesewetter G, Zhang S, Schöpp W, Rafaj P, Klimont Z, Tao S. Costs and Benefits of Household Fuel Policies and Alternative Strategies in the Jing-Jin-Ji Region. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:21662-21672. [PMID: 38079372 DOI: 10.1021/acs.est.3c01622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Abstract
Air pollution is still one of the most severe problems in northern China, especially in the Jing-Jin-Ji region around Beijing. In recent years, China has implemented many stringent policies to address the air quality issue, including promoting energy transition toward cleaner fuels in residential sectors. But until 2020, even in the Jing-Jin-Ji region, nearly half of the rural households still use solid fuels for heating. For residents who are not covered by the clean heating campaign, we analyze five potential mitigation strategies and evaluate their environmental effects as well as the associated health benefits and costs. We estimate that substitution with electricity or gas would reduce air pollution and premature mortality more strongly, while the relatively low investment costs of implementing clean coal or biomass pellet lead to a larger benefit-cost ratio, indicating higher cost efficiency. Hence, clean coal or biomass pellet could be transitional substitution options for the less developed or remote areas which cannot afford a total transition toward electricity or natural gas in the short term.
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Affiliation(s)
- Wenjun Meng
- Institute of Carbon Neutrality, College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, P. R. China
- International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
| | - Gregor Kiesewetter
- International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
| | - Shaohui Zhang
- International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
- School of Economics and Management, Beihang University, Beijing 100191, P. R. China
| | - Wolfgang Schöpp
- International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
| | - Peter Rafaj
- International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
| | - Zbigniew Klimont
- International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
| | - Shu Tao
- Institute of Carbon Neutrality, College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, P. R. China
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, P. R. China
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7
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Qi Z, Zheng Y, Feng Y, Chen C, Lei Y, Xue W, Xu Y, Liu Z, Ni X, Zhang Q, Yan G, Wang J. Co-drivers of Air Pollutant and CO 2 Emissions from On-Road Transportation in China 2010-2020. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:20992-21004. [PMID: 38055305 DOI: 10.1021/acs.est.3c08035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Co-controlling the emissions of air pollutants and CO2 from automobiles is crucial for addressing the intertwined challenges of air pollution and climate change in China. Here, we analyze the synergetic characteristics of air pollutant and CO2 emissions from China's on-road transportation and identify the co-drivers influencing these trends. Using detailed emission inventories and employing index decomposition analysis, we found that despite notable progress in pollution control, minimizing on-road CO2 emissions remains a formidable task. Over 2010-2020, the estimated sectoral emissions of VOCs, NOx, PM2.5, and CO declined by 49.9%, 25.9%, 75.2%, and 63.5%, respectively, while CO2 emissions increased by 46.1%. Light-duty passenger vehicles and heavy-duty trucks have been identified as the primary contributors to carbon-pollution co-emissions, highlighting the need for tailored policies. The driver analysis indicates that socioeconomic changes are primary drivers of emission growth, while policy controls, particularly advances in emission efficiency, can facilitate co-reductions. Regional disparities emphasize the need for policy refinement, including reducing dependency on fuel vehicles in the passenger subsector and prioritizing co-reduction strategies in high-emission provinces in the freight subsector. Overall, our study confirms the effectiveness of China's on-road control policies and provides valuable insights for future policy makers in China and other similarly positioned developing countries.
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Affiliation(s)
- Zhulin Qi
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, P. R. China
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
| | - Yixuan Zheng
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, 100041, Beijing, P. R. China
| | - Yueyi Feng
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, 100041, Beijing, P. R. China
| | - Chuchu Chen
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, 100041, Beijing, P. R. China
| | - Yu Lei
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, 100041, Beijing, P. R. China
| | - Wenbo Xue
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, 100041, Beijing, P. R. China
| | - Yanling Xu
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, 100041, Beijing, P. R. China
| | - Zeyuan Liu
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, P. R. China
| | - Xiufeng Ni
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, P. R. China
| | - Qingyu Zhang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, P. R. China
| | - Gang Yan
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
| | - Jinnan Wang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, P. R. China
- State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing 100041, P. R. China
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8
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Ma YR, Liu Z, Ma D, Zhai P, Guo K, Zhang D, Ji Q. A news-based climate policy uncertainty index for China. Sci Data 2023; 10:881. [PMID: 38065994 PMCID: PMC10709629 DOI: 10.1038/s41597-023-02817-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/01/2023] [Indexed: 12/18/2023] Open
Abstract
Climate policies can have a significant impact on the economy. However, these policies have often been associated with uncertainty. Quantitative assessment of the socioeconomic impact of climate policy uncertainty is equally or perhaps more important than looking at the policies themselves. Using a deep learning algorithm-the MacBERT model-this study constructed indices of Chinese climate policy uncertainty (CCPU) at the national, provincial and city levels for the first time. The CCPU indices are based on the text mining of news published by a set of major newspapers in China. A clear upward trend was found in the indices, demonstrating increasing policy uncertainties in China in addressing climate change. There is also evidence of clear regional heterogeneity in subnational indices. The CCPU dataset can provide a useful source of information for government actors, academics and investors in understanding the dynamics of climate policies in China. These indices can also be used to investigate the empirical relationship between climate policy uncertainty and other socioeconomic factors in China.
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Affiliation(s)
- Yan-Ran Ma
- Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China
- School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, China
| | - Zhenhua Liu
- School of Economics and Management, China University of Mining and Technology, Xuzhou, China
| | - Dandan Ma
- Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China
- School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, China
| | - Pengxiang Zhai
- School of Economics and Management, Beihang University, Beijing, China
| | - Kun Guo
- School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China
| | - Dayong Zhang
- Research Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu, China.
| | - Qiang Ji
- Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China.
- School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, China.
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9
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Zhang R, Lai KY, Liu W, Liu Y, Ma X, Webster C, Luo L, Sarkar C. Associations between Short-Term Exposure to Ambient Air Pollution and Influenza: An Individual-Level Case-Crossover Study in Guangzhou, China. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:127009. [PMID: 38078424 PMCID: PMC10711742 DOI: 10.1289/ehp12145] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/12/2023] [Accepted: 10/27/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Influenza imposes a heavy burden on public health. Little is known, however, of the associations between detailed measures of exposure to ambient air pollution and influenza at an individual level. OBJECTIVE We examined individual-level associations between six criteria air pollutants and influenza using case-crossover design. METHODS In this individual-level time-stratified case-crossover study, we linked influenza cases collected by the Guangzhou Center for Disease Control and Prevention from 1 January 2013 to 31 December 2019 with individual residence-level exposure to particulate matter (PM 2.5 and PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), ozone (O 3 ) and carbon monoxide (CO). The exposures were estimated for the day of onset of influenza symptoms (lag 0), 1-7 d before the onset (lags 1-7), as well as an 8-d moving average (lag07), using a random forest model and linked to study participants' home addresses. Conditional logistic regression was developed to investigate the associations between short-term exposure to air pollution and influenza, adjusting for mean temperature, relative humidity, public holidays, population mobility, and community influenza susceptibility. RESULTS N = 108,479 eligible cases were identified in our study. Every 10 - μ g / m 3 increase in exposure to PM 2.5 , PM 10 , NO 2 , and CO and every 5 - μ g / m 3 increase in SO 2 over 8-d moving average (lag07) was associated with higher risk of influenza with a relative risk (RR) of 1.028 (95% CI: 1.018, 1.038), 1.041 (95% CI: 1.032, 1.049), 1.169 (95% CI: 1.151, 1.188), 1.004 (95% CI: 1.003, 1.006), and 1.134 (95% CI: 1.107, 1.163), respectively. There was a negative association between O 3 and influenza with a RR of 0.878 (95% CI: 0.866, 0.890). CONCLUSIONS Our findings suggest that short-term exposure to air pollution, except for O 3 , is associated with greater risk for influenza. Further studies are necessary to decipher underlying mechanisms and design preventive interventions and policies. https://doi.org/10.1289/EHP12145.
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Affiliation(s)
- Rong Zhang
- Healthy High Density Cities Lab, HKUrbanLab, University of Hong Kong (HKU), Hong Kong, China
- Department of Urban Planning and Design, HKU, Hong Kong, China
| | - Ka Yan Lai
- Healthy High Density Cities Lab, HKUrbanLab, University of Hong Kong (HKU), Hong Kong, China
- Department of Urban Planning and Design, HKU, Hong Kong, China
| | - Wenhui Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Yanhui Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Xiaowei Ma
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Chris Webster
- Healthy High Density Cities Lab, HKUrbanLab, University of Hong Kong (HKU), Hong Kong, China
- Department of Urban Planning and Design, HKU, Hong Kong, China
| | - Lei Luo
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Chinmoy Sarkar
- Healthy High Density Cities Lab, HKUrbanLab, University of Hong Kong (HKU), Hong Kong, China
- Department of Urban Planning and Design, HKU, Hong Kong, China
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
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10
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Zhao R, Li X, Wang Y, Xu Z, Xiong M, Jia Q, Li F. Assessing resilience of sustainability to climate change in China's cities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165568. [PMID: 37467992 DOI: 10.1016/j.scitotenv.2023.165568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/23/2023] [Accepted: 07/14/2023] [Indexed: 07/21/2023]
Abstract
Achieving sustainability and coping with climate change are the greatest challenges to human survival and harmonious human-nature relationship. However, there is a lack of research on quantifying the resilience of sustainability to climate change over space and time. Here, a quantification method was developed to evaluate resilient performance of sustainability (includes economic, social, and environmental sub-resilient performance and resilient performance index) to climate change, and performed the first demonstration in China's 280 cities. It was found that resilient performance index of China's sustainability to climate change improved from 2005 to 2017, especially in Southwest China, but 6.8 % of cities showed a decreasing trend. With the improvement of the resilient performance index, the synergy degree among economic, social, and environmental sub-resilient performance scores increased. Economic development and sustainability improvement related to a higher but more disparity of the resilient performance index. This study encourages researchers and policymakers worldwide to focus on resilience of sustainability to climate change to help achieve sustained development and prosperity under climate change.
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Affiliation(s)
- Rui Zhao
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200000, China
| | - Xia Li
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200000, China
| | - Ying Wang
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200000, China
| | - Zhenci Xu
- Department of Geography, The University of Hong Kong, 999077, Hong Kong, China.
| | - Meiyu Xiong
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200000, China
| | - Qian Jia
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200000, China
| | - Fengting Li
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200000, China; Mitigation and Adaptation to Climate Change in Shanghai, Shanghai Regional Climate Center, China Meteorological Administration, Shanghai 200000, China.
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11
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Zhang G, Han L, Yao J, Yang J, Xu Z, Cai X, Huang J, Pei L. Assessing future heat stress across China: combined effects of heat and relative humidity on mortality. Front Public Health 2023; 11:1282497. [PMID: 37854241 PMCID: PMC10581210 DOI: 10.3389/fpubh.2023.1282497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 09/15/2023] [Indexed: 10/20/2023] Open
Abstract
This study utilizes China's records of non-accidental mortality along with twenty-five simulations from the NASA Earth Exchange Global Daily Downscaled Projections to evaluate forthcoming heat stress and heat-related mortality across China across four distinct scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The findings demonstrate a projected escalation in the heat stress index (HSI) throughout China from 2031 to 2100. The most substantial increments compared to the baseline (1995-2014) are observed under SSP5-8.5, indicating a rise of 7.96°C by the year 2100, while under SSP1-2.6, the increase is relatively modest at 1.54°C. Disparities in HSI growth are evident among different subregions, with South China encountering the most significant elevation, whereas Northwest China exhibits the lowest increment. Projected future temperatures align closely with HSI patterns, while relative humidity is anticipated to decrease across the majority of areas. The study's projections indicate that China's heat-related mortality is poised to surpass present levels over the forthcoming decades, spanning a range from 215% to 380% from 2031 to 2100. Notably, higher emission scenarios correspond to heightened heat-related mortality. Additionally, the investigation delves into the respective contributions of humidity and temperature to shifts in heat-related mortality. At present, humidity exerts a greater impact on fluctuations in heat-related mortality within China and its subregions. However, with the projected increase in emissions and global warming, temperature is expected to assume a dominant role in shaping these outcomes. In summary, this study underscores the anticipated escalation of heat stress and heat-related mortality across China in the future. It highlights the imperative of emission reduction as a means to mitigate these risks and underscores the variances in susceptibility to heat stress across different regions.
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Affiliation(s)
- Guwei Zhang
- Institute of Urban Meteorology, China Meteorological Administration, Beijing, China
- Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing, China
- Key Laboratory of Transforming Climate Resources to Economy, China Meteorological Administration, Chongqing, China
| | - Ling Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiajun Yao
- Shengzhou Meteorological Bureau, Shaoxing, China
| | - Jiaxi Yang
- Institute of Urban Meteorology, China Meteorological Administration, Beijing, China
- Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing, China
- Key Laboratory of Transforming Climate Resources to Economy, China Meteorological Administration, Chongqing, China
| | - Zhiqi Xu
- Institute of Urban Meteorology, China Meteorological Administration, Beijing, China
- Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing, China
- Key Laboratory of Transforming Climate Resources to Economy, China Meteorological Administration, Chongqing, China
| | - Xiuhua Cai
- Chinese Academy of Meteorological Sciences, Beijing, China
| | - Jin Huang
- Chifeng City Center Hospital Ningcheng County, Chifeng, China
| | - Lin Pei
- Institute of Urban Meteorology, China Meteorological Administration, Beijing, China
- Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing, China
- Key Laboratory of Transforming Climate Resources to Economy, China Meteorological Administration, Chongqing, China
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12
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Chu J, Zhu Y, Ji J. Characterizing the semantic features of climate change misinformation on Chinese social media. PUBLIC UNDERSTANDING OF SCIENCE (BRISTOL, ENGLAND) 2023; 32:845-859. [PMID: 37162274 DOI: 10.1177/09636625231166542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Climate change misinformation leads to significant adverse impacts and has become a global concern. Identifying misinformation and investigating its characteristics are of great importance to counteract misinformation. Therefore, this study aims to characterize the semantic features (frames and authority references) of climate change misinformation in the context of Chinese social media. Posts concerning climate change were collected from Weibo between January 2010 and December 2020. First, veracity, frames, and authority references were manually labeled. Then, we applied logistic regression to examine the relationship between information veracity and semantic features. The results revealed that posts concerning environmental and health impact and science and technology were more likely to be misinformation. Moreover, posts referencing non-specific authority sources are more likely to be misinformed than posts making no references to any authority references. This study provides a theoretical understanding of the semantic characteristics of climate change misinformation and practical suggestions for combating them.
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Affiliation(s)
- Jianxun Chu
- University of Science and Technology of China, China
| | - Yuqi Zhu
- University of Science and Technology of China, China
| | - Jiaojiao Ji
- University of Science and Technology of China, China
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13
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Guo Y, Chen P, Xie Y, Wang Y, Mu Y, Zhou R, Niu Y, Shi X, Zhu J, Liang J, Liu Q. Association of Daytime-Only, Nighttime-Only, and Compound Heat Waves With Preterm Birth by Urban-Rural Area and Regional Socioeconomic Status in China. JAMA Netw Open 2023; 6:e2326987. [PMID: 37566422 PMCID: PMC10422195 DOI: 10.1001/jamanetworkopen.2023.26987] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 06/22/2023] [Indexed: 08/12/2023] Open
Abstract
Importance Associations between heat waves and preterm birth (PTB) have been reported. However, associations of daytime-only, nighttime-only, and compound heat waves with PTB have yet to be explored at a national level. Furthermore, possible heterogeneity across urban-rural communities with different socioeconomic statuses needs to be explored. Objective To examine the association between daytime-only, nighttime-only, and compound heat waves and PTB in China and to find variations between urban and rural regions. Design, Setting, and Participants This case-crossover study used nationwide representative birth data between January 1, 2012, and December 31, 2019, from China's National Maternal Near Miss Surveillance System. This multisite study covered 30 provinces in China and ensured the representation of urban and rural populations across 3 socioeconomic regions. Singleton live births delivered in the warm seasons from April to October during the study period were included. Exclusion criteria consisted of gestational age younger than 20 or older than 45 weeks, maternal ages younger than 13 or older than 50 years, conception dates earlier than 20 weeks before January 1, 2012, and later than 45 weeks before December 31, 2019, and an inconsistent combination of birthweight and gestational age according to growth standard curves of Chinese newborns. Data were analyzed from September 10, 2021, to April 25, 2023. Exposures Eighteen definitions of heat waves by 3 distinct types, including daytime only (only daily maximum temperature exceeds thresholds), nighttime only (only daily minimum temperature exceeds thresholds), and compound (both daily maximum and minimum temperature exceeds thresholds) heat waves, and 6 indexes, including 75th percentile of daily temperature thresholds for 2 or more (75th-D2), 3 or more (75th-D3), or 4 or more (75th-D4) consecutive days and 90th percentile of daily temperature thresholds for 2 or more (90th-D2), 3 or more (90th-D3), and 4 or more (90th-D4) consecutive days. Main Outcomes and Measures Preterm births with less than 37 completed weeks of gestation. Results Among the 5 446 088 singleton births in the final analytic sample (maternal mean [SD] age, 28.8 [4.8] years), 310 384 were PTBs (maternal mean [SD] age, 29.5 [5.5] years). Compared with unexposed women, exposure of pregnant women to compound heat waves in the last week before delivery was associated with higher risk for PTB, with the adjusted odds ratios (AORs) ranging from 1.02 (95% CI, 1.00-1.03) to 1.04 (95% CI, 1.01-1.07) in 6 indexes. For daytime-only heat wave exposures, AORs ranged from 1.03 (95% CI, 1.01-1.05) to 1.04 (95% CI, 1.01-1.08) in the 75th-D4, 90th-D2, 90th-D3, and 90th-D4 indexes. Such associations varied by rural (AOR range, 1.05 [95% CI, 1.01-1.09] to 1.09 [95% CI, 1.04-1.14]) and urban (AOR range, 1.00 [95% CI, 0.98-1.02] to 1.01 [95% CI, 0.99-1.04]) regions during exposure to daytime-only heat waves in the 75th-D3 and 90th-D3 indexes. Conclusions and Relevance In this case-crossover study, exposure to compound and daytime-only heat waves in the last week before delivery were associated with PTB, particularly for pregnant women in rural regions exposed to daytime-only heat waves. These findings suggest that tailored urban-rural preventive measures may improve maternal health in the context of climate change.
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Affiliation(s)
- Yafei Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, 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
| | - Peiran Chen
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yanxia Xie
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yanping Wang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yi Mu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Ruobing Zhou
- Department of Health, Ethics and Society, Maastricht University, Maastricht, the Netherlands
| | - Yanlin Niu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Institute for Nutrition and Food Hygiene, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Xiaoming Shi
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Zhu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Juan Liang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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14
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Li T. A Public Health Initiative for Action on Early Warning of Heat Health Risks. China CDC Wkly 2023; 5:639-641. [PMID: 37529145 PMCID: PMC10388182 DOI: 10.46234/ccdcw2023.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 07/10/2023] [Indexed: 08/03/2023] Open
Affiliation(s)
- Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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15
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Dong D, Tao H, Zhang Z. Historic evolution of population exposure to heatwaves in Xinjiang Uygur Autonomous Region, China. Sci Rep 2023; 13:7401. [PMID: 37149675 PMCID: PMC10164190 DOI: 10.1038/s41598-023-34123-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 04/25/2023] [Indexed: 05/08/2023] Open
Abstract
Heatwaves have pronounced impacts on human health and the environment on a global scale. Although the characteristics of heatwaves has been well documented, there still remains a lack of dynamic studies of population exposure to heatwaves (PEH), particularly in the arid regions. In this study, we analyzed the spatio-temporal evolution characteristics of heatwaves and PEH in Xinjiang using the daily maximum temperature (Tmax), relative humidity (RH), and high-resolution gridded population datasets. The results revealed that the heatwaves in Xinjiang occur more continually and intensely from 1961 to 2020. Furthermore, there is substantial spatial heterogeneity of heatwaves with eastern part of the Tarim Basin, Turpan, and Hami been the most prone areas. The PEH in Xinjiang showed an increasing trend with high areas mainly in Kashgar, Aksu, Turpan, and Hotan. The increase in PEH is mainly contributed from population growth, climate change and their interaction. From 2001 to 2020, the climate effect contribution decreased by 8.5%, the contribution rate of population and interaction effects increased by 3.3% and 5.2%, respectively. This work provides a scientific basis for the development of policies to improve the resilience against hazards in arid regions.
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Affiliation(s)
- Diwen Dong
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
- College of Ecology and Environment, Xinjiang University, Urumqi, 830046, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- College of Statistics & Data Science, Xinjiang University of Finance & Economics, Urumqi, 830012, China
| | - Hui Tao
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
| | - Zengxin Zhang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.
- Joint Innovation Center for Modern Forestry Studies, College of Forestry, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.
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16
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Jiang S. Compound Heat Vulnerability in the Record-Breaking Hot Summer of 2022 over the Yangtze River Delta Region. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20085539. [PMID: 37107821 PMCID: PMC10138504 DOI: 10.3390/ijerph20085539] [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: 02/16/2023] [Revised: 03/19/2023] [Accepted: 04/12/2023] [Indexed: 05/11/2023]
Abstract
Hourly meteorological data and multisource socioeconomic data collected in the Yangtze River Delta (YRD) region were used to analyze its heat vulnerability during the record-breaking hot summer of 2022 in both daytime and nighttime. Over forty consecutive days, daytime temperatures exceeded 40 °C, and 58.4% of the YRD region experienced 400 h with temperatures hotter than 26 °C during the nighttime. Only 7.5% of the YRD region was under low heat risk during both daytime and nighttime. Strong heat risk combined with strong heat sensitivity and weak heat adaptability led to strong heat vulnerability during both daytime and nighttime in most areas (72.6%). Inhomogeneity in heat sensitivity and heat adaptability further aggravated the heterogeneity of heat vulnerability, leading to compound heat vulnerability in most regions. The ratios of heat-vulnerable areas generated by multiple causes were 67.7% and 79.3% during daytime and nighttime, respectively. For Zhejiang and Shanghai, projects designed to decrease the urban heat island effect and lower the local heat sensitivity are most important. For Jiangsu and Anhui, measures aiming to decrease the urban heat island effect and improve heat adaptability are most important. It is urgent to take efficient measures to address heat vulnerability during both daytime and nighttime.
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Affiliation(s)
- Shaojing Jiang
- Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China;
- State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
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17
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Ju K, Lu L, Yang J, Chen T, Lan T, Duan Z, Xu Z, Zhang E, Wang W, Pan J. Identifying the causal effects of long-term exposure to PM 2.5 and ground surface ozone on individual medical costs in China-evidence from a representative longitudinal nationwide cohort. BMC Med 2023; 21:127. [PMID: 37013539 PMCID: PMC10071749 DOI: 10.1186/s12916-023-02839-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 03/20/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND There is little evidence on whether PM2.5 and ground surface ozone have consistent effects on increased individual medical costs, and there is a lack of evidence on causality in developing countries. METHODS This study utilized balanced panel data from 2014, 2016, and 2018 waves of the Chinese Family Panel Study. The Tobit model was developed within a counterfactual causal inference framework, combined with a correlated random effects and control function approach (Tobit-CRE-CF), to explore the causal relationship between long-term exposure to air pollution and medical costs. We also explored whether different air pollutants exhibit comparable effects. RESULTS This study encompassed 8928 participants and assessed various benchmark models, highlighting the potential biases from failing to account for air pollution endogeneity or overlooking respondents without medical costs. Using the Tobit-CRE-CF model, significant effects of air pollutants on increased individual medical costs were identified. Specifically, margin effects for PM2.5 and ground-level ozone signifying that a unit increase in PM2.5 and ground-level ozone results in increased total medical costs of 199.144 and 75.145 RMB for individuals who incurred fees in the previous year, respectively. CONCLUSIONS The results imply that long-term exposure to air pollutants contributes to increased medical costs for individuals, offering valuable insights for policymakers aiming to mitigate air pollution's consequences.
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Affiliation(s)
- Ke Ju
- School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
| | - Liyong Lu
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Jingguo Yang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ting Chen
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
- Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, 610041, China
| | - Tianjiao Lan
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
- Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, 610041, China
| | - Zhongxin Duan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zongyou Xu
- Medical School, Hubei Minzu University, Enshi, 445000, China
| | - En Zhang
- School of Government, Peking University, Beijing, 100871, China
| | - Wen Wang
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
- Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, 610041, China
| | - Jay Pan
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
- Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, 610041, China.
- School of Public Administration, Sichuan University, Chengdu, 610041, China.
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18
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Qi J, Chen L, Yin P, Zhou M, Peng S, Liu G, Wang L, Noman M, Xie Y, Dong Z, Guo Y. Projecting the excess mortality related to diurnal temperature range: A nationwide analysis in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 864:160971. [PMID: 36535487 DOI: 10.1016/j.scitotenv.2022.160971] [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: 10/05/2022] [Revised: 11/24/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
The projection of excess mortality due to diurnal temperature range (DTR) in future has not been evaluated yet in China. Based on daily cause-specific mortality data from 266 cities in China, this study aimed to examine the association between DTR and mortality, which help project the future mortality burden attributable to DTR by considering the modification effects of altitude and population migration. We first found that every 10 °C increase in the DTR would result in a 3.3 % (95 % confidence interval: 2.6 %-4.1 %) excess risk of non-accidental mortality. The unit risk of DTR-associated cause-specific mortality at moderate or high altitudes was significantly lower than at lower altitudes, especially for cardiovascular disease. Subsequently, DTR-associated excess mortality in 2017 in China was 233,154 deaths (with a population-weighted attributable fraction of 2.9 %). Furthermore, we projected DTR-attributable additional mortality in the future, with the associated mortalities to be 221,860 deaths in 2050-2059 (2050s) and 132,305 deaths in 2090-2099 (2090s), under the SSP1-2.6 scenario. Meanwhile, the regional inequalities were exacerbated by 18 % in 2050s and 13 % in 2090s when considering the modification effects of city altitude. Future population migration would increase excess mortality in most areas in central and southern China, and reduce the disease burden in most areas in eastern, western, and northern China. Our findings underpinned that regional strategies should be adopted to mitigate excess mortality attributable to global climate change.
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Affiliation(s)
- Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lili Chen
- Beijing Academy of Blockchain and Edge Computing, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shushi Peng
- College of Urban and Environmental Sciences, Peking University, China
| | - Gang Liu
- College of Urban and Environmental Sciences, Peking University, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Muhammad Noman
- School of Space and Environment, Beihang University, Beijing, China
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, China; Laboratory for Low-carbon Intelligent Governance, Beihang University, Beijing, China.
| | - Zhaomin Dong
- School of Space and Environment, Beihang University, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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19
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Li H, Ma H, Li J, Li X, Huang K, Cao J, Li J, Yan W, Chen X, Zhou X, Cui C, Yu X, Liu F, Huang J. Hourly personal temperature exposure and heart rate variability: A multi-center panel study in populations at intermediate to high-risk of cardiovascular disease. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 863:160983. [PMID: 36535481 DOI: 10.1016/j.scitotenv.2022.160983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 12/12/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Several studies reported temperature exposure was associated with altered cardiac automatic function, while this effect of temperature on hourly heart rate variability (HRV) among populations with cardiovascular risks was seldom addressed. METHODS We conducted this panel study in four Chinese cities with three repeated visits among 296 participants at intermediate to high-risk of cardiovascular disease (CVD). Real-time temperature level and 24-h ambulatory electrocardiogram were monitored during each seasonal visit. Linear mixed-effects models were used to investigate associations between individual temperature and HRV parameters, and the seasonal effects and circadian effect were also evaluated. RESULTS We found the overall downward trend of hourly HRV associated with acute exposure to higher temperature. For each 1 °C increment in temperature of 1-3 h prior to HRV measurements (lag 1-3 h), hourly standard deviation of normal-to-normal intervals (SDNN) decreased by 0.38% (95% confidence interval [CI]: 0.22, 0.54), 0.28% (95% CI: 0.12, 0.44), and 0.20% (95% CI: 0.04, 0.36), respectively. Similar inverse associations between temperature and HRV were observed in stratified analyses by temperature level. Inverse associations for cold and warm seasons were also observed, despite some effects gradually decreased and reversed in the warm season as lag times extended. Moreover, HRV showed a more significant reduction with increased temperature during daytime than nighttime. Percent change of hourly SDNN was -0.41% (95% CI: -0.62, -0.21) with 1 °C increment of lag 1 h during daytime, while few obvious changes were revealed during nighttime. CONCLUSIONS Generally, increasing temperature was significantly associated with reduced HRV. Inverse relationships for cold and warm seasons were also observed. Associations during daytime were much more prominent than nighttime. Our findings clarified the relationship of temperature with HRV and provided evidence for prevention approaches to alleviate cardiac automatic dysfunction among populations at intermediate to high-risk of CVD.
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Affiliation(s)
- Hongfan Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Han Ma
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jinyue Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Xiahua Li
- Function Test Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Weili Yan
- Clinical Epidemiology & Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
| | - Xiaotian Chen
- Clinical Epidemiology & Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
| | - Xiaoyang Zhou
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Chun Cui
- Primary Health Professional Committee, Shaanxi Province Health Care Association, Xi'an 710061, China
| | - Xianglai Yu
- Beilin District Dongguannanjie Community Health Service Center, Xi'an 710048, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China.
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China.
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Ju K, Lu L, Wang W, Chen T, Yang C, Zhang E, Xu Z, Li S, Song J, Pan J, Guo Y. Causal effects of air pollution on mental health among Adults--An exploration of susceptible populations and the role of physical activity based on a longitudinal nationwide cohort in China. ENVIRONMENTAL RESEARCH 2023; 217:114761. [PMID: 36372147 DOI: 10.1016/j.envres.2022.114761] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/17/2022] [Accepted: 11/05/2022] [Indexed: 06/16/2023]
Abstract
Long-term exposure to air pollutants is likely to be associated with mental disorders, but relevant studies remain limited and inconsistent, and evidence to assess causality is particularly lacking, especially in developing countries. In addition, there are few studies on the role of physical activity in this relationship. We investigated the causal relationship between air pollutant exposure and mental health among Chinese adults and whether physical activity could play a positive role in this relationship. Using the balanced panel data for 2014 and 2016 from the China Family Panel Study, a representative Chinese national cohort study, we selected and validated appropriate instrumental variable to explore the causal relationship between air pollution and mental health and explored the moderating effect of physical activity using an instrumental variable fixed effects model (IVFE) in a counterfactual causal inference framework. PM2.5 and ground surface ozone were selected as proxies for different types of air pollutants and extended the interpretability by studying them for populations with different characteristics. A total of 21,944 participants were included in this study. In the IVFE model, we found that both PM2.5 and ground surface ozone significantly negatively affected mental health, and that habitual physical activity counteracted this negative effect regardless of different types of air pollution. We also found that the findings held for adults with different characteristics. The findings suggest that habitual physical activity may offset the deterioration of mental health in adults in developing countries due to air pollution, regardless of age, gender, income, and the presence of chronic diseases.
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Affiliation(s)
- Ke Ju
- School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Liyong Lu
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, PR China; Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, 610041, PR China
| | - Wen Wang
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, PR China; Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, 610041, PR China
| | - Ting Chen
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, PR China; Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, 610041, PR China
| | - Chenyu Yang
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - En Zhang
- School of Government, Peking University, Beijing, 100871, PR China
| | - Zongyou Xu
- Medical School, Hubei Minzu University, Enshi, 445000, PR China
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Jiangning Song
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, 3800, Australia.
| | - Jay Pan
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, PR China; School of Public Administration, Sichuan University, Chengdu, 610041, PR China.
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
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Gong W, Li X, Zhou M, Zhou C, Xiao Y, Huang B, Lin L, Hu J, Xiao J, Zeng W, He G, Huang C, Liu T, Du Q, Ma W. Mortality burden attributable to temperature variability in China. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:118-124. [PMID: 35332279 PMCID: PMC8944404 DOI: 10.1038/s41370-022-00424-x] [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: 08/10/2021] [Revised: 02/24/2022] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Several studies have investigated the associations between temperature variability (TV) and death counts. However, evidence of TV-attributable years of life lost (YLL) is scarce. OBJECTIVES To investigate the associations between TV and YLL rates (/100,000 population), and quantify average life loss per death (LLD) caused by TV in China. METHODS We calculated daily YLL rates (/100,000 population) of non-accidental causes and cardiorespiratory diseases by using death data from 364 counties of China during 2006-2017, and collected meteorological data during the same period. A distributed lag non-linear model (DLNM) and multivariate meta-analysis were used to estimate the effects of TV at national or regional levels. Then, we calculated the LLD to quantify the mortality burden of TV. RESULTS U-shaped curves were observed in the associations of YLL rates with TV in China. The minimum YLL TV (MYTV) was 2.5 °C nationwide. An average of 0.89 LLD was attributable to TV in total, most of which was from high TV (0.86, 95% CI: 0.56, 1.16). However, TV caused more LLD in the young (<65 years old) (1.87, 95% CI: 1.03, 2.71) than 65-74 years old (0.85, 95% CI: 0.40-1.31) and ≥75 years old (0.40, 95% CI: 0.21-0.59), cerebrovascular disease (0.74, 95% CI: 0.36, 1.11) than respiratory disease (0.54, 95% CI: 0.21, 0.87), South (1.23, 95% CI: 0.77, 1.68) than North (0.41, 95% CI: -0.7, 1.52) and Central China (0.40, 95% CI: -0.02, 0.81). TV-attributed LLD was modified by annual mean temperature, annual mean relative humidity, altitude, latitude, longitude, and education attainment. SIGNIFICANCE Our findings indicate that high and low TVs are both associated with increases in premature death, however the majority of LLD was attributable to high TV. TV-related LLD was modified by county level characteristics. TV should be considered in planning adaptation to climate change or variability. IMPACT (1) We estimated the associations of TV with YLL rates, and quantified the life loss per death (LLD) caused by TV. (2) An average of 0.89 years of LLD were attributable to TV, most of which were from high TVs. (3) TV caused more LLD in the young, cerebrovascular disease, and southern China. (4) The mortality burdens were modified by county level characteristics.
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Affiliation(s)
- Weiwei Gong
- Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Maigeng Zhou
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, 100050, Beijing, China
| | - Chunliang Zhou
- Department of Environment and Health, Hunan Provincial Center for Disease Control and Prevention, Changsha, 450001, China
| | - Yize Xiao
- Yunnan Center for Disease Control and Prevention, Kunming, 650022, China
| | - Biao Huang
- Jilin Provincial Center for Disease Control and Prevention, Changchun, 130062, China
| | - Lifeng Lin
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Disease Control and Prevention Institute of Jinan University, Guangzhou, 510632, China.
| | - Qingfeng Du
- General Practice Center, The Seventh Affiliated Hospital, Southern Medical University, Foshan, 528200, China.
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
- Disease Control and Prevention Institute of Jinan University, Guangzhou, 510632, China
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22
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Zheng H, Sun Y, Luo T, Cheng X, Shao S, Zheng S, Tao B, Chen B, Tu Q, Huang K, Wang B, Wang M, Song X, Zhang T, Cheng Y, Liu J. Advances in coastal ocean boundary layer detection technology and equipment in China. J Environ Sci (China) 2023; 123:156-168. [PMID: 36521981 DOI: 10.1016/j.jes.2022.02.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/24/2022] [Accepted: 02/27/2022] [Indexed: 06/17/2023]
Abstract
Accurate and comprehensive knowledge of the atmospheric environment and its evolution within the coastal ocean boundary layer are necessary for understanding the sources, chemical mechanisms, and transport processes of air pollution in land, sea, and atmosphere. We present an overview of coastal ocean boundary layer detection technology and equipment in China and summarize the progress and main achievements in recent years. China has developed a series of coastal ocean boundary layer detection technologies, including Light Detection and Ranging (LIDAR), turbulent exchange analyzer, air-sea flux analyzer, stereoscopic remote sensing of air pollutants, and oceanic aerosol detection equipment to address the technical bottleneck caused by harsh environmental conditions in coastal ocean regions. Advances in these technologies and equipment have provided scientific assistance for addressing air pollution issues and understanding land-sea-atmosphere interactions over coastal ocean regions in China. In the future, routine atmospheric observations should cover the coastal ocean boundary layer of China.
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Affiliation(s)
- Haitao Zheng
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
| | - Youwen Sun
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China; Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China.
| | - Tao Luo
- Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; Advanced Laser Technology Laboratory of Anhui Province, Hefei 230031, China
| | - Xueling Cheng
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shiyong Shao
- Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Shouyin Zheng
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Bangyi Tao
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Bin Chen
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
| | - Qianguang Tu
- School of Surveying and Municipal Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
| | - Kan Huang
- Center for Atmospheric Chemistry Study, Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP(3)), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Bingbing Wang
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China
| | - Mian Wang
- Meteorological Observation Centre, China Meteorological Administration, Beijing 100081, China
| | - Xiaoquan Song
- College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
| | - Tianshu Zhang
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
| | - Yin Cheng
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
| | - Jianguo Liu
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
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23
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Sun S, Zhang Q, Singh VP, Shi C, Wang G, Wu W, Shen Z. Increased moist heat stress risk across China under warming climate. Sci Rep 2022; 12:22548. [PMID: 36581657 PMCID: PMC9800580 DOI: 10.1038/s41598-022-27162-2] [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: 10/17/2022] [Accepted: 12/27/2022] [Indexed: 12/30/2022] Open
Abstract
Heatwaves have afflicted human health, ecosystem, and socioeconomy and are expected to intensify under warming climate. However, few efforts have been directed to moist heat stress (MHS) considering relative humidity and wind speed, and moist heat stress risk (MHSR) considering exposure and vulnerability. Here we showed MHS and MHSR variations across China during 1998-2100 using China Meteorological Administration Land Data Assimilation System datasets, the 6th Coupled Model Intercomparison Project (CMIP6) merged datasets, Gross Domestic Product, population and leaf area index. We detected increased MHS across China under different Shared Socioeconomic Pathways (SSPs). Specifically, the historical MHS occurred mostly during mid-July to mid-August. We found increasing trends of 0.08%/year, 0.249%/year, and 0.669%/year in the MHS-affected areas under SSP126, SSP245, and SSP585, respectively. Furthermore, we observed the highest increasing rate of MHSR in Northwest and Southwest China, while the MHSR across Northeast and North China under SSP126 shifted from increasing to decreasing trends. Noteworthy is that the increasing trend of MHSR under SSP585 is 1.5-2.6 times larger than that under SSP245, especially in North and South China. This study highlights spatiotemporal evolutions of MHS and MHSR and mitigation to moisture heat stress in a warming climate.
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Affiliation(s)
- Shuai Sun
- grid.20513.350000 0004 1789 9964State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China ,grid.20513.350000 0004 1789 9964Faculty of Geographical Science, Beijing Normal University, Beijing, China ,grid.8658.30000 0001 2234 550XNational Meteorological Information Center, China Meteorological Administration, Beijing, China
| | - Qiang Zhang
- grid.20513.350000 0004 1789 9964Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhuhai, 519087 China
| | - Vijay P. Singh
- grid.264756.40000 0004 4687 2082Department of Biological and Agricultural Engineering, Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX USA ,grid.43519.3a0000 0001 2193 6666National Water and Energy Center, UAE University, Al Ain, UAE
| | - Chunxiang Shi
- grid.8658.30000 0001 2234 550XNational Meteorological Information Center, China Meteorological Administration, Beijing, China
| | - Gang Wang
- grid.20513.350000 0004 1789 9964State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China ,grid.20513.350000 0004 1789 9964Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Wenhuan Wu
- grid.20513.350000 0004 1789 9964State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China ,grid.20513.350000 0004 1789 9964Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Zexi Shen
- grid.20513.350000 0004 1789 9964State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China ,grid.20513.350000 0004 1789 9964Faculty of Geographical Science, Beijing Normal University, Beijing, China
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Zhang X, Xia Q, Lai Y, Wu B, Tian W, Miao W, Feng X, Xin L, Miao J, Wang N, Wu Q, Jiao M, Shan L, Du J, Li Y, Shi B. Spatial effects of air pollution on the economic burden of disease: implications of health and environment crisis in a post-COVID-19 world. Int J Equity Health 2022; 21:161. [PMCID: PMC9664438 DOI: 10.1186/s12939-022-01774-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background
Air pollution has been identified as related to the diseases of susceptible population, but the spatial heterogeneity of its economic burden and its determinants are rarely investigated. The issue is of great policy significance, especially after the epidemic of COVID-19, when human are facing the joint crisis of health and environment, and some areas is prone to falling into poverty.
Methods
The geographical detector was adopted to study the spatial distribution characteristics of the incidence of catastrophic health expenditure (ICHE) for older adults in 100 rural areas in China at the prefecture-city level. The health factors, sociological factors, policy factors and environmental factors and their interactions are identified.
Results
First, most health service factors had strong explanatory power for ICHE whether it interacts with air pollution. Second, 50 single-factor high-risk areas of ICHE were found in the study, but at the same time, there were 21 areas dominated by multiple factors.
Conclusion
The different contributions and synergy among the factors constitute the complex mechanism of factors and catastrophic health expenditure. Moreover, during this process, air pollution aggravates the contribution of health service factors toward ICHE. In addition, the leading factors of ICHE are different among regions. At the end, this paper also puts forward some policy suggestions from the perspective of health and environment crisis in the post-COVID-19 world: environmental protection policies should be combined with the prevention of infectious diseases; advanced health investment is the most cost-effective policy for the inverse health sequences of air pollution and infectious diseases such as coronavirus disease 2019 (COVID-19); integrating environmental protection policy into healthy development policy, different regions take targeted measures to cope with the intertwined crisis.
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Ma J, Guo Y, Gao J, Tang H, Xu K, Liu Q, Xu L. Climate Change Drives the Transmission and Spread of Vector-Borne Diseases: An Ecological Perspective. BIOLOGY 2022; 11:1628. [PMID: 36358329 PMCID: PMC9687606 DOI: 10.3390/biology11111628] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/31/2022] [Accepted: 11/04/2022] [Indexed: 07/30/2023]
Abstract
Climate change affects ecosystems and human health in multiple dimensions. With the acceleration of climate change, climate-sensitive vector-borne diseases (VBDs) pose an increasing threat to public health. This paper summaries 10 publications on the impacts of climate change on ecosystems and human health; then it synthesizes the other existing literature to more broadly explain how climate change drives the transmission and spread of VBDs through an ecological perspective. We highlight the multi-dimensional nature of climate change, its interaction with other factors, and the impact of the COVID-19 pandemic on transmission and spread of VBDs, specifically including: (1) the generally nonlinear relationship of local climate (temperature, precipitation and wind) and VBD transmission, with temperature especially exhibiting an n-shape relation; (2) the time-lagged effect of regional climate phenomena (the El Niño-Southern Oscillation and North Atlantic Oscillation) on VBD transmission; (3) the u-shaped effect of extreme climate (heat waves, cold waves, floods, and droughts) on VBD spread; (4) how interactions between non-climatic (land use and human mobility) and climatic factors increase VBD transmission and spread; and (5) that the impact of the COVID-19 pandemic on climate change is debatable, and its impact on VBDs remains uncertain. By exploring the influence of climate change and non-climatic factors on VBD transmission and spread, this paper provides scientific understanding and guidance for their effective prevention and control.
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Affiliation(s)
- Jian Ma
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
- Institute for Healthy China, Tsinghua University, Beijing 100084, China
| | - Yongman Guo
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
- Institute for Healthy China, Tsinghua University, Beijing 100084, China
| | - Jing Gao
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
- Respiratory Medicine Unit, Department of Medicine & Centre for Molecular Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Hanxing Tang
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
- Institute for Healthy China, Tsinghua University, Beijing 100084, China
| | - Keqiang Xu
- Clinical Pharmacy Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Lei Xu
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
- Institute for Healthy China, Tsinghua University, Beijing 100084, China
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26
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Li C, Zhao Z, Yan Y, Liu Q, Zhao Q, Ma W. Short-term effects of tropical cyclones on the incidence of dengue: a time-series study in Guangzhou, China. Parasit Vectors 2022; 15:358. [PMID: 36203178 PMCID: PMC9535872 DOI: 10.1186/s13071-022-05486-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 09/16/2022] [Indexed: 11/12/2022] Open
Abstract
Background Limited evidence is available about the association between tropical cyclones and dengue incidence. This study aimed to examine the effects of tropical cyclones on the incidence of dengue and to explore the vulnerable populations in Guangzhou, China. Methods Weekly dengue case data, tropical cyclone and meteorological data during the tropical cyclones season (June to October) from 2015 to 2019 were collected for the study. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model was conducted to quantify the association between tropical cyclones and dengue, controlling for meteorological factors, seasonality, and long-term trend. Proportion of dengue cases attributable to tropical cyclone exposure was calculated. The effect difference by sex and age groups was calculated to identify vulnerable populations. The tropical cyclones were classified into two levels to compare the effects of different grades of tropical cyclones on the dengue incidence. Results Tropical cyclones were associated with an increased number of dengue cases with the maximum risk ratio of 1.41 (95% confidence interval 1.17–1.69) in lag 0 week and cumulative risk ratio of 2.13 (95% confidence interval 1.28–3.56) in lag 0–4 weeks. The attributable fraction was 6.31% (95% empirical confidence interval 1.96–10.16%). Men and the elderly were more vulnerable to the effects of tropical cyclones than the others. The effects of typhoons were stronger than those of tropical storms among various subpopulations. Conclusions Our findings indicate that tropical cyclones may increase the incidence of dengue within a 4-week lag in Guangzhou, China, and the effects were more pronounced in men and the elderly. Precautionary measures should be taken with a focus on the identified vulnerable populations to control the transmission of dengue associated with tropical cyclones. Graphical Abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13071-022-05486-2.
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Affiliation(s)
- Chuanxi Li
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Shandong University Climate Change and Health Center, Jinan, China
| | - Zhe Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Shandong University Climate Change and Health Center, Jinan, China
| | - Yu Yan
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Shandong University Climate Change and Health Center, Jinan, China
| | - Qiyong Liu
- Shandong University Climate Change and Health Center, Jinan, 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
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China. .,Shandong University Climate Change and Health Center, Jinan, China. .,Department of Epidemiology, IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany.
| | - Wei Ma
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China. .,Shandong University Climate Change and Health Center, Jinan, China.
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27
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Yin K, Liu L, Gu H. Green Paradox or Forced Emission Reduction-The Dual Effects of Environmental Regulation on Carbon Emissions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191711058. [PMID: 36078773 PMCID: PMC9518542 DOI: 10.3390/ijerph191711058] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 08/31/2022] [Accepted: 08/31/2022] [Indexed: 05/06/2023]
Abstract
In response to global climate change, China made a commitment about carbon emissions at the UN General Assembly. It will strive to achieve carbon peaking by 2030 and carbon neutrality by 2060. To help China successfully meet its carbon emissions targets this study examines the impact of environmental regulation on carbon emissions from a different perspective. Using panel data from 30 provinces in China as samples, this paper discusses the direct and indirect effect of environmental regulation on carbon emissions and explains the indirect process through four transmission paths: energy consumption structure, industrial structure, technological innovation, and foreign direct investment (FDI). The empirical results show that the direct effect of environmental regulation on carbon emissions presents an inverted U-shaped curve, it means that when the intensity level of environmental regulation is low, it mainly shows the green paradox effect, and with the continuous tightening of environmental laws, it turns into a forced emission reduction on carbon emissions. In addition, we found that under the constraint of environmental regulation conditions, the coal-based energy consumption is still the leading cause of carbon emissions; environmental regulations have contributed to the upgrading of industrial structure and technological advance, which indirectly play a positive role in carbon emission reduction. However, environmental regulation restrains the spillover effect and capital accumulation effect of FDI, which brings a specific degree of hindrance to technological progress and economic development, and is not conducive to carbon emission reduction. Therefore, we have made the following recommendations: China should make reasonable use of environmental policies to regulate carbon emissions according to the situation of each region, optimize the energy structure and increase the proportion of clean energy use, and improve the technology level of related industries to reduce carbon emissions by innovation.
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Affiliation(s)
- Kedong Yin
- Institute of Marine Economy and Management, Shandong University of Finance and Economics, Jinan 250014, China
- School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China
| | - Lu Liu
- School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China
| | - Haolei Gu
- School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China
- Correspondence: ; Tel.: +86-137-0320-2714
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28
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Wang S, Liu M, Yang X, Lu Q, Xiong Z, Li L, Zheng H, Feng S, Zhang T. An unconventional vertical fluidic-controlled wearable platform for synchronously detecting sweat rate and electrolyte concentration. Biosens Bioelectron 2022; 210:114351. [PMID: 35569269 DOI: 10.1016/j.bios.2022.114351] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/25/2022] [Accepted: 05/05/2022] [Indexed: 11/29/2022]
Abstract
Epidermal microfluidic devices with long microchannels have been developed for continuous sweat analysis, which are crucial to assess personal hydration status and underlying health conditions. However, the flow resistance in long channels and the ionic concentration variation significantly affect the accuracy of both the sweat rate and electrolyte concentration measurements. Herein, we present a novel fluidic-controlled wearable platform for synchronously dropwise-detecting the sweat rate and total electrolyte concentration. The unconventional platform consisting of a vertically shortened channel, a pair of embedded electrodes and an absorption layer, is designed to minimize the flow resistance and transform sweat fluidics into uniform micro-droplets for chronological and dropwise detection. Real-time sweat conductance is decoupled from a square-wave-like curve, where the sweat rate and electrolyte concentration can be derived from the interval time and peak value, respectively. Flexible and wearable band devices are demonstrated to show their potential application for hydration status assessment during exercises.
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Affiliation(s)
- Shuqi Wang
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Mengyuan Liu
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China
| | - Xianqing Yang
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China
| | - Qifeng Lu
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Chips, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou, Jiangsu, 215123, PR China
| | - Zuoping Xiong
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Lianhui Li
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Hui Zheng
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Simin Feng
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Ting Zhang
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; Vacuum Interconnected Nanotech Workstation (Nano-X), Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 385 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Gusu Laboratory of Materials, 388 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, PR China.
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Health Risk Assessment and Influencing Factors Analysis of High Temperatures on Negative Emotions. BUILDINGS 2022. [DOI: 10.3390/buildings12071040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
The emotional health of urban residents has been seriously threatened by frequent and normalized heat waves. This study constructed the VI-level assessment standard for emotional health risk using data from satellite images, meteorological sites, questionnaire surveys, and statistical yearbooks to assess the effect of high temperatures on negative emotions in Hangzhou. The results showed that the morphological changes of urban high-temperature areas were aggregated from a cross-shape to a large patch shape, then dispersed into cracked patch shapes. Additionally, the health risk of daytime negative emotions peaked at the VI-level from 1984 to 2020, and the influence level of the typical period risk increased by 1–2 levels compared with the daytime. Additionally, driven by urban spatial structure policies, the risk pattern of emotional health expanded outward from a single center into multiple centers. The emotional health risk level rose and then descended in urban centers, and the innovation industries drove the variation tendency of hot spots. Furthermore, high educational background, employment, and couples living together were critical variables that could alleviate the emotional health risk to the middle-aged and elderly population. This study aimed to optimize the urban spatial structure and alleviate residents’ emotional health hazards for healthy urban planning.
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Wang Y, Zhang Z, Luo Z, He T, Liu H, Duan L, Lu K, Liu C, Li X, Wu F, Zhang Y, Liu W, He K. 环境空气质量基准和标准制定方法及其对我国的启示. CHINESE SCIENCE BULLETIN-CHINESE 2022. [DOI: 10.1360/tb-2022-0157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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31
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Huang Y, Zhang T, Lou J, Wang P, Huang L. Effective interventions on health effects of Chinese rural elderly under heat exposure. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING 2022; 16:66. [PMID: 35693986 PMCID: PMC9170494 DOI: 10.1007/s11783-022-1545-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 06/15/2023]
Abstract
UNLABELLED Due to climate change, the heatwave has become a more serious public health threat with aging as an aggravating factor in recent years. There is a pressing need to detect the most effective prevention and response measures. However, the specific health effects of interventions have not been characterized on an individual scale. In this study, an intervention experiment was designed to explore the health effects of heat exposure at the individual level and assess the effects of different interventions based on a comprehensive health sensitivity index (CHSI) in Xinyi, China. Forty-one subjects were recruited randomly, and divided into one control group and three intervention groups. Interventions included education (Educate by lecturing, offering relative materials, and communication), subsidy support (offer subsidy to offset the cost of running air conditioning), and cooling-spray (install a piece of cooling-spray equipment in the yard). Results showed that systolic blood pressure (SBP) and deep sleep duration (DSD) were significantly affected by short-term heat exposure, and the effects could be alleviated by three types of interventions. The estimated CHSI indicated that the effective days of the education group were longer than other groups, while the lower CHSI of the subsidy group showed lower sensitivity than the control group. These findings provide feasible implementation strategies to optimize Heat-health action plans and evaluate the intervention performance. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material is available in the online version of this article at 10.1007/s11783-022-1545-4 and is accessible for authorized users.
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Affiliation(s)
- Yujia Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023 China
| | - Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023 China
| | - Jianing Lou
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023 China
| | - Peng Wang
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, 212013 China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023 China
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32
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Comparison of Relative and Absolute Heatwaves in Eastern China: Observations, Simulations and Future Projections. ATMOSPHERE 2022. [DOI: 10.3390/atmos13050649] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Heatwaves can produce catastrophic effects on public health and natural systems, especially under global warming. There are two methods to measure heatwaves, computed by relative and absolute thresholds, namely relative and absolute heatwaves (RHWs and AHWs). Generally, AHWs mostly occur in hot areas because of fixed thresholds, while RHWs represent anomalous events for the local climate, making them possible everywhere in the warm season. Based on observations and CMIP6 outputs, this study compared AHWs and RHWs in Eastern China (EC) with five sub-regions [Northeast China (NEC), North China (NC), Lower Yangtze River (LYR), Middle Yangtze River (MYR) and South China (SC)]. Similarities among RHWs and AHWs were found in present-day trends (1995–2014) and spatial distributions. The heatwave intensity/days for RHWs and AHWs both displayed highest future increases in northern/southern EC, and the increases for 2081–2100 would be 1.5 times as high as 2041–2060. All these similarities illustrate that applying either relative or absolute thresholds in EC, historical temporal variations, changing future spatial patterns, and increasing ratio from 2081–2100 to 2041–2060, would show reliable results. As far as differences are concerned, RHWs were observed across the entire EC, while AHWs did not show up in parts of NC and NEC. Considering model performance, RHWs would perform better than AHWs in most areas of EC. The annual heatwave intensity/days were higher for RHWs than for AHWs during present-day and future periods, which might overestimate heat-related risks. Overall, this study recommended RHWs for heatwave analyses, particularly for future projections, but for risk assessment, the choice of thresholds is crucial. The results reinforced the necessity to further improve model performance to address various needs.
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Di Napoli C, McGushin A, Romanello M, Ayeb-Karlsson S, Cai W, Chambers J, Dasgupta S, Escobar LE, Kelman I, Kjellstrom T, Kniveton D, Liu Y, Liu Z, Lowe R, Martinez-Urtaza J, McMichael C, Moradi-Lakeh M, Murray KA, Rabbaniha M, Semenza JC, Shi L, Tabatabaei M, Trinanes JA, Vu BN, Brimicombe C, Robinson EJ. Tracking the impacts of climate change on human health via indicators: lessons from the Lancet Countdown. BMC Public Health 2022; 22:663. [PMID: 35387618 PMCID: PMC8985369 DOI: 10.1186/s12889-022-13055-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 03/22/2022] [Indexed: 03/13/2023] Open
Abstract
BACKGROUND In the past decades, climate change has been impacting human lives and health via extreme weather and climate events and alterations in labour capacity, food security, and the prevalence and geographical distribution of infectious diseases across the globe. Climate change and health indicators (CCHIs) are workable tools designed to capture the complex set of interdependent interactions through which climate change is affecting human health. Since 2015, a novel sub-set of CCHIs, focusing on climate change impacts, exposures, and vulnerability indicators (CCIEVIs) has been developed, refined, and integrated by Working Group 1 of the "Lancet Countdown: Tracking Progress on Health and Climate Change", an international collaboration across disciplines that include climate, geography, epidemiology, occupation health, and economics. DISCUSSION This research in practice article is a reflective narrative documenting how we have developed CCIEVIs as a discrete set of quantifiable indicators that are updated annually to provide the most recent picture of climate change's impacts on human health. In our experience, the main challenge was to define globally relevant indicators that also have local relevance and as such can support decision making across multiple spatial scales. We found a hazard, exposure, and vulnerability framework to be effective in this regard. We here describe how we used such a framework to define CCIEVIs based on both data availability and the indicators' relevance to climate change and human health. We also report on how CCIEVIs have been improved and added to, detailing the underlying data and methods, and in doing so provide the defining quality criteria for Lancet Countdown CCIEVIs. CONCLUSIONS Our experience shows that CCIEVIs can effectively contribute to a world-wide monitoring system that aims to track, communicate, and harness evidence on climate-induced health impacts towards effective intervention strategies. An ongoing challenge is how to improve CCIEVIs so that the description of the linkages between climate change and human health can become more and more comprehensive.
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Affiliation(s)
- Claudia Di Napoli
- School of Agriculture, Policy and Development, University of Reading, Reading, UK. .,Department of Geography and Environmental Science, University of Reading, Reading, UK.
| | - Alice McGushin
- Institute for Global Health, University College London, London, UK
| | - Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - Sonja Ayeb-Karlsson
- Institute for Risk and Disaster Reduction, University College London, London, UK.,School of Global Studies, University of Sussex, Brighton Falmer, UK.,United Nations University, Institute for Environment and Human Security, Bonn, Germany
| | - Wenjia Cai
- Ministry of Education Key Laboratory for Earth System modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Jonathan Chambers
- Institute for Environmental Science, University of Geneva, Geneva, Switzerland
| | - Shouro Dasgupta
- Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London, UK.,Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Venice, Italy.,Università Ca' Foscari, Venice, Italy
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK.,Institute for Risk and Disaster Reduction, University College London, London, UK.,University of Agder, Kristiansand, Norway
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | - Dominic Kniveton
- School of Global Studies, University of Sussex, Brighton Falmer, UK
| | - Yang Liu
- Rollins School of Public Health, Emory University, Atlanta, USA
| | - Zhao Liu
- Ministry of Education Key Laboratory for Earth System modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Rachel Lowe
- Barcelona Supercomputing Center, Barcelona, Spain.,Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.,Centre on Climate Change & Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Celia McMichael
- School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, Australia
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Kris A Murray
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.,MRC Unit The Gambia At London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Jan C Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Liuhua Shi
- Rollins School of Public Health, Emory University, Atlanta, USA
| | - Meisam Tabatabaei
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.,Henan Province Forest Resources Sustainable Development and High-value Utilization Engineering Research Center, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China
| | - Joaquin A Trinanes
- Department of Electronics and Computer Science, Universidade de Santiago de Compostela, Santiago, Spain
| | - Bryan N Vu
- Rollins School of Public Health, Emory University, Atlanta, USA
| | - Chloe Brimicombe
- Department of Geography and Environmental Science, University of Reading, Reading, UK
| | - Elizabeth J Robinson
- Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London, UK
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Li Y, Wang B, Wang S, Xu S, Li S, He H, Niu J, Luo B. Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:28637-28646. [PMID: 34988822 DOI: 10.1007/s11356-021-17102-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/14/2021] [Indexed: 06/14/2023]
Abstract
Climate has received an increasing attention due to its adverse effects on human health, but the effects on the urinary system are still short of enough evidence. Therefore, we carry out this study to analyze the relationship between meteorological factors and urinary system health in arid areas of western China. In this study, the daily numbers of outpatients with the urinary system diseases from multiple hospitals in three cities in Gansu province (Lanzhou, Zhangye, and Tianshui city) were collected and used for analysis. The distributed lag non-linear models (DLNM) with a quasi-Poisson distribution were used to estimate the associations between meteorological factors and daily outpatients for urinary system diseases in these three cities, and then a multivariate meta-analysis was applied to pool the estimates of city-specific effects. We found that the ambient temperature (AT) and relative humidity (RH) were significantly associated with the outpatient visits of urinary system diseases. The effects of meteorological factors on outpatients with urinary system diseases for both males and females were statistically significant at different lag days. The higher AT and lower RH were associated with the higher risk of urinary system diseases. We also observed substantial lag effects of meteorological factors on outpatients for both males and females. Among all disease types, renal tubule-interstitial diseases had the strongest relationships with meteorological factors. Our results indicate that the higher AT and lower RH may increase the outpatient visits for urinary system diseases, with significant lag effects in semi-arid areas.
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Affiliation(s)
- Yanlin Li
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Bo Wang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Shunxia Wang
- Department of General Medicine, the First Hospital of Tianshui, Tianshui, Gansu, 741000, People's Republic of China
| | - Shenggang Xu
- Medical College of Hexi University, Zhangye, Gansu, 734000, People's Republic of China
| | - Sheng Li
- The First People's Hospital of Lanzhou, Lanzhou, Gansu, 730050, People's Republic of China
| | - Hupeng He
- Gansu Provincial Centre for Diseases Prevention and Control, Lanzhou, Gansu, 730000, People's Republic of China
| | - Jingping Niu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, People's Republic of China.
- Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, 200030, People's Republic of China.
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Lin LZ, Su F, Fang QL, Ho HC, Zhou Y, Ma HM, Chen DH, Hu LW, Chen G, Yu HY, Yang BY, Zeng XW, Xiang MD, Feng WR, Dong GH. The association between anthropogenic heat and adult hypertension in Northeast China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 815:152926. [PMID: 34998766 DOI: 10.1016/j.scitotenv.2022.152926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 12/21/2021] [Accepted: 01/01/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVES Although the potential serious threat of anthropogenic heat on human health was receiving considerable attention worldwide, its long-term health effect on blood pressure (BP) remained unknown. We aimed to evaluate the associations of long-term anthropogenic heat exposure with different components of BP and hypertension. METHODS In this cross-sectional study (Liaoning province, China) conducted in 2009, we included a total of 24,845 Chinese adults (18-74 years). We estimated the anthropogenic heat exposure in 2008 using multisource remote sensing images and ancillary data. We measured systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and pulse pressure (PP), and defined hypertension. We used generalized linear mixed model to examine the associations. RESULTS In the adjusted model, the estimates indicated that the difference in SBP, MAP and PP for those in highest quartiles of total anthropogenic heat exposure was greater compared with the lowest quartile (highest quartile: β = 1.11 [95% CI: 0.28-1.94], 0.60 [95% CI: 0.04-1.17], 0.76 [95% CI: 0.17-1.35]). Compared with the lowest quartile, the odds of hypertension were higher among those in higher quartiles (second quartile: OR = 1.17 [95% CI: 1.05-1.30]; third quartile:1.10 [95% CI: 1.1.01-1.21]; highest quartile: 1.17 [95% CI: 1.06-1.28]). These associations were stronger in female participants. CONCLUSION Our study showed that long-term exposure to anthropogenic heat was associated with elevated BP and higher odds of hypertension. These findings suggest that mitigation strategies to reduce anthropogenic heat should be considered.
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Affiliation(s)
- Li-Zi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Fan Su
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Qiu-Ling Fang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
| | - Hui-Min Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Duo-Hong Chen
- Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou 510308, China
| | - Li-Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Hong-Yao Yu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Ming-Deng Xiang
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China.
| | - Wen-Ru Feng
- Department of Environmental Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
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A building height dataset across China in 2017 estimated by the spatially-informed approach. Sci Data 2022; 9:76. [PMID: 35277515 PMCID: PMC8917199 DOI: 10.1038/s41597-022-01192-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 02/04/2022] [Indexed: 11/21/2022] Open
Abstract
As a fundamental aspect of the urban form, building height is a key attribute for reflecting human activities and human-environment interactions in the urban context. However, openly accessible building height maps covering the whole China remain sorely limited, particularly for spatially informed data. Here we developed a 1 km × 1 km resolution building height dataset across China in 2017 using Spatially-informed Gaussian process regression (Si-GPR) and open-access Sentinel-1 data. Building height estimation was performed using the spatially-explicit Gaussian process regression (GPR) in 39 major Chinese cities where the spatially explicit and robust cadastral data are available and the spatially-implicit GPR for the remaining 304 cities, respectively. The cross-validation results indicated that the proposed Si-GPR model overall achieved considerable estimation accuracy (R2 = 0.81, RMSE = 4.22 m) across the entire country. Because of the implementation of local modelling, the spatially-explicit GPR outperformed (R2 = 0.89, RMSE = 2.82 m) the spatially-implicit GPR (R2 = 0.72, RMSE = 6.46 m) for all low-rise, mid-rise, and high-rise buildings. This dataset, with extensive-coverage and high-accuracy, can support further studies on the characteristics, causes, and consequences of urbanization. Measurement(s) | 1 km gridded building height across China in 2017 | Technology Type(s) | Sentinel-1 SAR; Spatially-informed Gaussian Process Regression | Factor Type(s) | Sentinel-1 SAR | Sample Characteristic - Location | China |
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Lv LS, Zhou CL, Jin DH, Ma WJ, Liu T, Xie YJ, Xu YQ, Zhang XE. Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:15791-15799. [PMID: 34633619 PMCID: PMC8827384 DOI: 10.1007/s11356-021-16888-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/30/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND In the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However, little is known about the effect of ambient temperature on year of life lost (YLL), especially the life loss per death caused by ambient temperature. In this study, we aimed to assess the relationship between ambient temperature and life loss and estimate the impact of ambient temperature on life loss per death. METHODS We collected daily time series of mortality and meteorological data from 70 locations in Hunan province, central China, in periods ranging from Jan. 1, 2013, to Dec. 31, 2017. Crude rates of YLL were calculated per 100,000 people per year (YLL/100,000 population) for each location. A distributed lag nonlinear model and multivariate meta-regression were used to estimate the associations between ambient temperature and YLL rates. Then, the average life loss per death attributable to ambient temperature was calculated. RESULTS There were 711,484 CVD deaths recorded within the study period. The exposure-response curve between ambient temperature and YLL rates was inverted J or U-shaped. Relative to the minimum YLL rate temperature, the life loss risk of extreme cold temperature lasted for 10 to 12 days, whereas the risk of extreme hot temperature appeared immediately and lasted for 3 days. On average, the life loss per death attributable to non-optimum ambient temperatures was 1.89 (95% CI, 1.21-2.56) years. Life loss was mainly caused by cold temperature (1.13, 95% CI, 0.89‑1.37), particularly moderate cold (1.00, 95% CI, 0.78‑1.23). For demographic characteristics, the mean life loss per death was relatively higher for males (2.07, 95% CI, 1.44‑2.68) and younger populations (3.72, 95% CI, 2.06‑5.46) than for females (1.88, 95% CI, 1.21-2.57) and elderly people (1.69, 95% CI, 1.28-2.10), respectively. CONCLUSIONS We found that both cold and hot temperatures significantly aggravated premature death from CVDs. Our results indicated that the whole range of effects of ambient temperature on CVDs should be given attention.
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Affiliation(s)
- Ling-Shuang Lv
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
| | - Chun-Liang Zhou
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China.
| | - Dong-Hui Jin
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
| | - Wen-Jun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Yi-Jun Xie
- Hunan Provincial Climate Center, Changsha, 410007, China
| | - Yi-Qing Xu
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
| | - Xing-E Zhang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
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Wu Y, Huang C. Climate Change and Vector-Borne Diseases in China: A Review of Evidence and Implications for Risk Management. BIOLOGY 2022; 11:biology11030370. [PMID: 35336744 PMCID: PMC8945209 DOI: 10.3390/biology11030370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/15/2022] [Accepted: 02/18/2022] [Indexed: 11/16/2022]
Abstract
Simple Summary Vector-borne diseases are among the most rapidly spreading infectious diseases and are widespread all around the world. In China, many types of vector-borne diseases have been prevalent in different regions, which is a serious public health problem with significant association with meteorological factors and weather events. Under the background of current severe climate change, the outbreaks and transmission of vector-borne diseases have been proven to be impacted greatly due to rapidly changing weather conditions. This study summarizes research progress on the association between climate conditions and all types of vector-borne diseases in China. A total of seven insect-borne diseases, two rodent-borne diseases, and a snail-borne disease were included, among which dengue fever is the most concerning mosquito-borne disease. Temperature, rainfall, and humidity have the most significant effect on vector-borne disease transmission, while the association between weather conditions and vector-borne diseases shows vast differences in China. We also make suggestions about future research based on a review of current studies. Abstract Vector-borne diseases have posed a heavy threat to public health, especially in the context of climate change. Currently, there is no comprehensive review of the impact of meteorological factors on all types of vector-borne diseases in China. Through a systematic review of literature between 2000 and 2021, this study summarizes the relationship between climate factors and vector-borne diseases and potential mechanisms of climate change affecting vector-borne diseases. It further examines the regional differences of climate impact. A total of 131 studies in both Chinese and English on 10 vector-borne diseases were included. The number of publications on mosquito-borne diseases is the largest and is increasing, while the number of studies on rodent-borne diseases has been decreasing in the past two decades. Temperature, precipitation, and humidity are the main parameters contributing to the transmission of vector-borne diseases. Both the association and mechanism show vast differences between northern and southern China resulting from nature and social factors. We recommend that more future research should focus on the effect of meteorological factors on mosquito-borne diseases in the era of climate change. Such information will be crucial in facilitating a multi-sectorial response to climate-sensitive diseases in China.
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Affiliation(s)
- Yurong Wu
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China;
- School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China;
- School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
- Institute of Healthy China, Tsinghua University, Beijing 100084, China
- Correspondence:
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Xu Z, Liu Z, Lu L, Liao W, Yang C, Duan Z, Zhou Q, He W, Zhang E, Li N, Ju K. Assessing the causal effects of long-term exposure to PM 2.5 during pregnancy on cognitive function in the adolescence: Evidence from a nationwide cohort in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 293:118560. [PMID: 34808309 DOI: 10.1016/j.envpol.2021.118560] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 10/23/2021] [Accepted: 11/18/2021] [Indexed: 02/05/2023]
Abstract
The effects of air pollution on adolescents need further consideration. Although there is evidence that maternal exposure to air pollution may affect the cognitive function of offspring, relevant studies remain limited and inconsistent, with a lack of studies assessing the causal effects and evidence from developing countries. Using data from Chinese Family Panel Studies, a representative Chinese nationwide cohort study, OLS combined with instrumental variable + two-stage least square (IV+2SLS) was used to explore the causal effects of exposure to PM2.5 concentrations during pregnancy on the cognitive function of offspring when they become adolescents. After detailed argumentation and multiple testing, Planetary Boundary Layer Height (PBLH) and Surface Pressure (SP) were selected as the instrumental variables for this study. One thousand five hundred fifty-five adolescents participated in this study, with a mean age of 13.3 years (sd = 2.3). There were 706 females (45.4%), the mean maternal PM2.5 exposure concentration was 64.9 μg/m3, and recorded a mean cognitive function score of 38.1 (sd = 9.4). The OLS results found that maternal exposure to air pollution increased cognitive function in offspring adolescents, corroborating the presence of endogeneity. Multi-domain knowledge, the results of the weak instrumental variable assessments of F-tests (F = 237 > 10) and Stock-yogo tests (minimum eigenvalue statistic = 153.16 > 16.38), and the results of the Hansen J overidentification test (p > 0.05) verified the plausibility and validity of the instrumental variables. The IV+2SLS results, following causal modeling, showed that PM2.5 exposure during pregnancy impairs the cognitive ability of offspring adolescents (β = -0.040, p < 0.05). Robustness tests also validated the results. This study provides important policy implications for developing countries on protecting their adolescents and reminds parents that the protection of adolescents from air pollution should begin from conception.
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Affiliation(s)
- Zongyou Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China; Medical School, Hubei Minzu University, Enshi, 445000, China
| | - Zhenmi Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Liyong Lu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Weibin Liao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Chenyu Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhongxin Duan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qian Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Wenchong He
- Research Management Office, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - En Zhang
- School of Government, Peking University, Beijing, 100871, China
| | - Ningxiu Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Ke Ju
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia.
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Deng X, Chen Z, Zou Y, He Y, Chen S, Wang Q, Xing D, Zhang Y. The effect of daily mean temperature on hand, foot and mouth disease and the source of regional heterogeneity in Chongqing, China, 2010-2019. Environ Health Prev Med 2022; 27:47. [PMID: 36517013 PMCID: PMC9792571 DOI: 10.1265/ehpm.22-00133] [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] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Hand, foot and mouth disease (HFMD) is a serious infectious disease which has become a public health problem. A multi-regional study was conducted in this study to explore the relationship between temperature and HFMD in different regions and the source of heterogeneity, and further detect the effect modifiers such as socio-economic factors, medical and health factors and meteorological factors. METHODS The data on daily reported HFMD cases and meteorological data from 2010 to 2019 in Chongqing were collected. Thirty-eight districts and counties of Chongqing were divided into 6 regions. The distributed lag nonlinear model (DLNM) was applied to assess the effect of daily mean temperature on HFMD at region level with the pooled effect estimates from multivariate meta-regression model analysis. Stratified analyses by gender, age and children's type were also conducted. Potential modifiers were considered in meta regression to explore the source of heterogeneity. RESULTS There were nonlinear relationships with an inverted V-shape between temperature and HFMD. A maximum cumulative relative risk (CRR) of 1.22 (95% confidence interval (CI): 1.12-1.34) peaked at 23.8 °C, and the risk appeared immediately and lasted for the whole 14 days. Compared with other groups, warm temperature had a stronger effect on children aged 0-1 and scattered children, while cold temperature had a stronger effect on female, children aged 3-6 and childcare children with an M-shape. We found that socio-economic factors, medical health factors and meteorological factors were significantly associated with heterogeneity. Density of medical technical personnel, urbanization rate and density of health care institutions were the main modifiers for explaining heterogeneity of 26.10%, 24.90% and 24.86% respectively which were revealed by meta-analysis. CONCLUSIONS There was a significant nonlinear correlation between temperature and HFMD. Compared with other groups, children aged 0-1 and scattered children were more susceptible to warm temperature, while female, children aged 3-6 and childcare children were more susceptible to cold temperature. Socio-economic factors, medical health factors and meteorological factors may be the source of the heterogeneity. Therefore, local governments should consider different temperature-HFMD relationships between different regions and populations when formulating appropriate preventive measures.
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Affiliation(s)
- Xinyi Deng
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Zhiyi Chen
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Yang Zou
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Ying He
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Saijuan Chen
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Qiuting Wang
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Dianguo Xing
- Office of Health Emergency, Chongqing Municipal Health Commission, Chongqing, China
| | - Yan Zhang
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
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Dong Y, Ren Z, Fu Y, Hu N, Guo Y, Jia G, He X. Decrease in the residents' accessibility of summer cooling services due to green space loss in Chinese cities. ENVIRONMENT INTERNATIONAL 2022; 158:107002. [PMID: 34991262 DOI: 10.1016/j.envint.2021.107002] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/28/2021] [Accepted: 11/22/2021] [Indexed: 06/14/2023]
Abstract
Urban green spaces (UGSs) reduce the surrounding temperature and create cooling areas as a buffer between people and high temperatures, thus helping residents adapt to the warming climate. However, the accessibility of UGS cooling services to the residents of cities remains largely unknown, which hinders decision-making regarding the formulation of climate adaptation and urban greening schemes. In the present study, we estimated the number of residents who accessed UGSs for cooling by analyzing the annual changes in such cooling areas during summer across 315 Chinese cities from 2003 to 2015. Approximately 93.3% of the cities showed significant decreasing trends (p < 0.05) of the total UGS area; as such the UGS coverage dropped from 12.23 ± 0.32% in 2003 to 7.69 ± 0.22% in 2015. Consequently, with the prevalent loss of UGS, the coverage of cooling spaces decreased from 32.55 ± 0.76% in 2003 to 24.39 ± 0.60% in 2015. This has formed a spatial mismatch between the growing urban population and the remaining UGSs. Accordingly, the number of residents of areas outside these cooling spaces increased by 4.23 million per year. In particular, the shortage of cooling services was more significant in cities with < 20,000 USD gross domestic product per capita and < 5 million residents than in the rest of the cities. To minimize the adverse impacts of increasing temperatures, focused greening plans are warranted, specifically in underdeveloped cities.
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Affiliation(s)
- Yulin Dong
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhibin Ren
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yao Fu
- School of Geography and Engineering of Land Resources, Yuxi Normal University, Yuxi 653100, China
| | - Nanlin Hu
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yujie Guo
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guangliang Jia
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xingyuan He
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Aringhieri R, Hirsch P, Rauner MS, Reuter-Oppermanns M, Sommersguter-Reichmann M. Central European journal of operations research (CJOR) "operations research applied to health services (ORAHS) in Europe: general trends and ORAHS 2020 conference in Vienna, Austria". CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 2021; 30:1-18. [PMID: 34908906 PMCID: PMC8663758 DOI: 10.1007/s10100-021-00792-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/13/2021] [Indexed: 06/14/2023]
Abstract
This articles provides a short summary of the research topics and latest research results of the European Working Group "Operations Research Applied to Health Services" (ORAHS) organized as an e-conference in Juli 2020 at the University of Vienna, Austria (https://orahs2020.univie.ac.at/). Furthermore, challenges for OR in health care including application areas, decision support systems, general trends, and modelling techniques are briefly illustrated from an European and international perspective by providing selected essential literature reviews.
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Affiliation(s)
- Roberto Aringhieri
- Dipartimento di Informatica, Università degli Studi di Torino, Corso Svizzera 185, 10149 Torino, Italy
| | - Patrick Hirsch
- Institute of Production and Logistics, University of Natural Resources and Life Sciences, Feistmantelstraße 4, 1180 Vienna, Austria
| | - Marion S. Rauner
- School of Business, Economics, and Statistics, Department of Business Decisions and Analytics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria
| | - Melanie Reuter-Oppermanns
- Department of Law and Economics, Information Systems, Software and Digital Business Group, Technical University of Darmstadt, Hochschulstr. 1, 64289 Darmstadt, Germany
| | - Margit Sommersguter-Reichmann
- School of Business, Economics, and Social Sciences, Department of Finance, Karl-Franzens University Graz, Universitaetsstraße 15, Resowi G2, 8010 Graz, Austria
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The 2021 China report of the Lancet Countdown on health and climate change: seizing the window of opportunity. LANCET PUBLIC HEALTH 2021; 6:e932-e947. [PMID: 34758286 DOI: 10.1016/s2468-2667(21)00209-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/13/2021] [Accepted: 08/24/2021] [Indexed: 11/22/2022]
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Song X, Jiang L, Zhang D, Wang X, Ma Y, Hu Y, Tang J, Li X, Huang W, Meng Y, Shi A, Feng Y, Zhang Y. Impact of short-term exposure to extreme temperatures on diabetes mellitus morbidity and mortality? A systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:58035-58049. [PMID: 34105073 DOI: 10.1007/s11356-021-14568-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/20/2021] [Indexed: 05/27/2023]
Abstract
The relationship between diabetes mellitus and short-term exposure to extreme temperatures remains controversial. A systematic review and meta-analysis were performed to assess the association between extreme temperatures and diabetes mellitus morbidity and mortality. PubMed, Embase, the Cochrane Library, Web of Science, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched since inception to January 1, 2019, and updated on November 17, 2020. The results were combined using random effects model and reported as relative risk (RR) with 95% confidence interval (CI). In total, 32 studies met the inclusion criteria. (1) Both heat and cold exposures have impact on diabetes. (2) For heat exposure, the subgroup analysis revealed that the effect on diabetes mortality (RR=1.139, 95% CI: 1.089-1.192) was higher than morbidity (RR=1.012, 95% CI: 1.004-1.019). (3) With the increase of definition threshold, the impact of heat exposure on diabetes rose. (4) A stronger association between heat exposure and diabetes was observed in the elderly (≥ 60 years old) (RR=1.040, 95% CI: 1.017-1.064). In conclusion, short-term exposure to both heat and cold temperatures has impact on diabetes. The elderly is the vulnerable population of diabetes exposure to heat temperature. Developing definitions of heatwaves at the regional level are suggested.
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Affiliation(s)
- Xuping Song
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Liangzhen Jiang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Dongdong Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Xinyi Wang
- Second Clinical College, Lanzhou University, Lanzhou, 730000, China
| | - Yan Ma
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yue Hu
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Jing Tang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Xiayang Li
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Wenqiang Huang
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, China
| | - Yuan Meng
- Laboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, 310000, China
| | - Anchen Shi
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi, 710061, China
| | - Yan Feng
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yan Zhang
- Gansu Province Hospital Rehabilitation Center, 53 Dingxi Road, Chengguan District, Lanzhou, 730000, Gansu, China.
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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, Gregor K, Zbigniew K, Pete L, Li C, Li Q, Li T, Li R, 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, Alice M, Niu Y, Ren C, Ren Z, Ruan Z, Wolfgang S, Su J, Tu Y, Wang J, Wang Q, Wang Y, Wang Y, Nick W, 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. Location-specific health impacts of climate change require location-specific responses. CHINESE SCIENCE BULLETIN-CHINESE 2021. [DOI: 10.1360/tb-2021-0140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Zhang S, An K, Li J, Weng Y, Zhang S, Wang S, Cai W, Wang C, Gong P. Incorporating health co-benefits into technology pathways to achieve China's 2060 carbon neutrality goal: a modelling study. Lancet Planet Health 2021; 5:e808-e817. [PMID: 34758346 DOI: 10.1016/s2542-5196(21)00252-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/21/2021] [Accepted: 08/23/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND The announcement of China's 2060 carbon neutrality goal has drawn the world's attention to the specific technology pathway needed to achieve this pledge. We aimed to evaluate the health co-benefits of carbon neutrality under different technology pathways, which could help China to achieve the carbon neutrality goal, air quality goal, and Healthy China goal in a synergetic manner that includes health in the decision-making process. METHODS In this modelling study, we used Shared Socioeconomic Pathway 2 with no climate policy as the reference scenario, and two representative carbon neutrality scenarios with identical emission trajectories and different technology pathways-one was led by renewable energies and the other was led by negative emission technologies. We had three modules to analyse health co-benefits and mitigation costs for each policy scenario. First, we used a computable general equilibrium model that captures the operation of the whole economic system to investigate the carbon mitigation costs and air pollutant emission pathways of different technology portfolios. Second, we used a reduced complexity air quality model to estimate the concentrations of particulate matter in the atmosphere from the air pollutant emission pathways. Finally, we used a health impact evaluation model to estimate premature deaths, morbidity, and the resulting loss of life expectancy, then these health impacts were monetised according to value of a statistical life and cost of illness. We compared the monetised health co-benefits against the corresponding mitigation costs to explore the cost-effectiveness of different technology portfolios. A series of uncertainties embodied in carbon neutrality pathways and models were considered. FINDINGS In our models, sole dependence on improving end-of-pipe air pollution control measures is not sufficient for all Chinese provinces to meet the 2005 WHO PM2·5 standards (10 μg/m3) by 2060. Only a combination of strong climate and air pollution control policies can lead to substantial improvement of air quality across China. If the carbon neutrality pathway led by developing renewable energies was followed, the air quality of all provinces could meet the WHO guideline by 2060. With the realisation of carbon neutrality goals, the total discounted mitigation costs (discount rate 5%) from 2020-60 would range from 40-125 trillion Chinese yuan (CNY), and 22-50 million cumulative premature deaths could be avoided. China has the potential to increase the associated life expectancy by 0·88-2·80 years per person in 2060 versus the reference scenario. The health benefits are higher in the renewable energies-led scenarios, whereas the mitigation costs are smaller in the negative emission technologies-led scenarios. If the value of a statistical life is set higher than 12·5 million CNY (39% of the Organisation for Economic Co-operation and Development value), the health co-benefits will be higher than mitigation costs, even when considering all included uncertainties, implying the cost-effectiveness of China's carbon neutrality goal. INTERPRETATION The life expectancy increase from the realisation of China's 2060 carbon neutrality goal could be equivalent to the past 5-10 years of life expectancy growth in China. Choosing an appropriate carbon neutrality pathway affects the health of China's population both today and in the future. Our findings suggest that, if China incorporates health co-benefits into climate policy making and puts a high value on people's health, it should choose a carbon neutrality pathway that relies more on developing renewable energies and avoid over-reliance on negative emission technologies. FUNDING National Key R&D Program of China, National Natural Science Foundation of China, Tsinghua-Toyota Joint Research Fund, Tsinghua-Rio Tinto Joint Research Centre for Resources, and Global Energy Interconnection Group. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Shihui Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), and School of Environment, Tsinghua University, Beijing, China; Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, International Joint Laboratory on Low Carbon Clean Energy Innovation, Laboratory for Low Carbon Energy, Tsinghua University, Beijing, China
| | - Kangxin An
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), and School of Environment, Tsinghua University, Beijing, China
| | - Jin Li
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), and School of Environment, Tsinghua University, Beijing, China
| | - Yuwei Weng
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Shaohui Zhang
- School of Economics and Management, Beihang University, Beijing, China; Pollution Management Research Group, Energy, Climate, and Environment Program International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Shuxiao Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), and School of Environment, Tsinghua University, Beijing, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, China
| | - Wenjia Cai
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, International Joint Laboratory on Low Carbon Clean Energy Innovation, Laboratory for Low Carbon Energy, Tsinghua University, Beijing, China.
| | - Can Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), and School of Environment, Tsinghua University, Beijing, China; Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, International Joint Laboratory on Low Carbon Clean Energy Innovation, Laboratory for Low Carbon Energy, Tsinghua University, Beijing, China
| | - Peng Gong
- Department of Earth Sciences and Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region, China
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47
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Comparison of Atmospheric Circulation Anomalies between Dry and Wet Extreme High-Temperature Days in the Middle and Lower Reaches of the Yellow River. ATMOSPHERE 2021. [DOI: 10.3390/atmos12101265] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Many previous studies have reported that atmospheric circulation anomalies are generally the direct cause of extreme high-temperature (EHT). However, the atmospheric circulation anomalies of EHT days with different humidity and the differences between them are less often discussed, while humidity plays an important role in how people feel in a high-temperature environment. Therefore, this study uses 1961–2016 CN05.1 daily observational data and NCEP/NCAR reanalysis data to classify summer EHT days in China into dry and wet. Furthermore, we investigate the atmospheric circulation anomalies associated with the dry and wet EHT days in the middle and lower reaches of the Yellow River (MLRYR). The results reveal that dry EHT days are likely to be caused by adiabatic heating from anomalous subsidence, while wet EHT days are more likely caused by the low-latitude water vapor and heat anomalies brought by the Western Pacific Subtropical High (WPSH). This may be due to a remarkable westward/southward/narrowed extension of the Continental High (CH)/WPSH/South Asian High (SAH) accompanied by an occurrence of dry EHT day. The opposite pattern is observed for wet EHT days. Moreover, a wave train like the Silk Road pattern from the midlatitudes could affect the dry EHT days, while wet EHT days are more likely to be affected by a wave train from high latitudes. Knowing the specific characteristics of dry and wet EHT days and their associated atmospheric circulations could offer new insights into disaster risk prevention and reduction.
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48
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Zhang H, Wang Q, Benmarhnia T, Jalaludin B, Shen X, Yu Z, Ren M, Liang Q, Wang J, Ma W, Huang C. Assessing the effects of non-optimal temperature on risk of gestational diabetes mellitus in a cohort of pregnant women in Guangzhou, China. ENVIRONMENT INTERNATIONAL 2021; 152:106457. [PMID: 33706037 DOI: 10.1016/j.envint.2021.106457] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 01/12/2021] [Accepted: 02/08/2021] [Indexed: 06/12/2023]
Abstract
Previous observational studies have shown that exposure to ambient temperature and air pollution were associated with the incidence of gestational diabetes mellitus (GDM). However, the susceptible time window of non-optimal temperature on GDM is still unknown, and the interaction with air pollution has not been examined. We conducted a prospective cohort study in Guangzhou, China to investigate the windows of susceptibility of temperature extremes and variability on the risk of GDM and to explore any interaction effect with air pollution. Daily maximum (Tmax), minimum temperature (Tmin) and diurnal temperature range (DTR) were obtained from Guangdong Meteorological Service. Distributed lag non-linear models with a logistic regression were applied to assess the effect of temperature extremes and DTR in different weeks of gestation on GDM. To examine the interaction effect, relative excess risk due to interaction index, attributable proportion and synergy index were calculated. There were 5,165 pregnant women enrolled, of which 604 were diagnosed with GDM (11.7%). Compared with a reference temperature (50th percentile of Tmax), we found that extreme high temperature (99th percentile of Tmax) exposure during 21st and 22nd gestational weeks was associated with an increased risk of GDM. Extreme low temperature (1st percentile of Tmax) exposure during 14th to 17th weeks increased the risk of GDM. We observed that per 1 °C increment of DTR during 21st to 24th weeks was associated with an elevated GDM risk. No interaction effect of temperature extremes or variability with air pollution on GDM were observed. Our results suggested that non-optimal temperature is an independent risk factor of GDM. The time window of susceptibility for extreme temperatures and DTR exposure on the risk of GDM generally occurred in second trimester of pregnancy. In the context of climate change, our study has important implications for reproductive health and justifies more research in different climate zones.
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Affiliation(s)
- Huanhuan Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou, China; School of Public Health, Zhengzhou University, Zhengzhou, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health, University of California, San Diego, USA; Scripps Institution of Oceanography, University of California, San Diego, USA
| | - Bin Jalaludin
- School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Xiaoting Shen
- Center for Reproductive Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Meng Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qianhong Liang
- Department of Ultrasound, Panyu Maternal and Child Care Service Center, Guangzhou, China
| | - Jingzhe Wang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China
| | - Wenjun Ma
- Guangdong Provincial Institution of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, China; School of Public Health, Zhengzhou University, Zhengzhou, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
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49
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Talley NJ, Stanley FJ, Lucas T, Horton RC. Health and climate change MJA-Lancet Countdown report: Australia gets another failing grade in 2020 but shows signs of progress. Med J Aust 2020; 214:75-76. [PMID: 33341957 DOI: 10.5694/mja2.50895] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Nicholas J Talley
- University of Newcastle, Newcastle, NSW.,Editor-in-Chief, Medical Journal of Australia , Sydney, NSW
| | - Fiona J Stanley
- Telethon Kids Institute, Perth, WA.,University of Western Australia, Perth, WA
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