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Ren N, Huang H, Liu B, Wu C, Xiang J, Zhou Q, Kang S, Zhang X, Jiang Y. Interactive effects of atmospheric oxidising pollutants and heat waves on the risk of residential mortality. Glob Health Action 2024; 17:2313340. [PMID: 38381455 PMCID: PMC10883108 DOI: 10.1080/16549716.2024.2313340] [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: 06/08/2023] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The impact of heat waves and atmospheric oxidising pollutants on residential mortality within the framework of global climate change has become increasingly important. OBJECTIVE In this research, the interactive effects of heat waves and oxidising pollutants on the risk of residential mortality in Fuzhou were examined. Methods We collected environmental, meteorological, and residential mortality data in Fuzhou from 1 January 2016, to 31 December 2021. We then applied a generalised additive model, distributed lagged nonlinear model, and bivariate three-dimensional model to investigate the effects and interactions of various atmospheric oxidising pollutants and heat waves on the risk of residential mortality. RESULTS Atmospheric oxidising pollutants increased the risk of residential mortality at lower concentrations, and O3 and Ox were positively associated with a maximum risk of 2.19% (95% CI: 0.74-3.66) and 1.29% (95% CI: 0.51-2.08). The risk of residential mortality increased with increasing temperature, with a strong and long-lasting effect and a maximum cumulative lagged effect of 1.11% (95% CI: 1.01, 1.23). Furthermore, an interaction between atmospheric oxidising pollutants and heat waves may have occurred: the larger effects in the longest cumulative lag time on residential mortality per 10 µg/m3 increase in O3, NO2 and Ox during heat waves compared to non-heat waves were [-3.81% (95% CI: -14.82, 8.63)]; [-0.45% (95% CI: -2.67, 1.81)]; [67.90% (95% CI: 11.55, 152.71)]; 16.37% (95% CI: 2.43, 32.20)]; [-3.00% (95% CI: -20.80, 18.79)]; [-0.30% (95% CI: -3.53, 3.04)]. The risk on heat wave days was significantly higher than that on non-heat wave days and higher than the separate effects of oxidising pollutants and heat waves. CONCLUSIONS Overall, we found some evidence suggesting that heat waves increase the impact of oxidising atmospheric pollutants on residential mortality to some extent.
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Affiliation(s)
- Nan Ren
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Huimin Huang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Baoying Liu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Chuancheng Wu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jianjun Xiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Quan Zhou
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Shuling Kang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Xiaoyang Zhang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Yu Jiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
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Li XC, Qian HR, Zhang YY, Zhang QY, Liu JS, Lai HY, Zheng WG, Sun J, Fu B, Zhou XN, Zhang XX. Optimal decision-making in relieving global high temperature-related disease burden by data-driven simulation. Infect Dis Model 2024; 9:618-633. [PMID: 38645696 PMCID: PMC11026972 DOI: 10.1016/j.idm.2024.03.001] [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: 09/29/2023] [Revised: 02/27/2024] [Accepted: 03/09/2024] [Indexed: 04/23/2024] Open
Abstract
The rapid acceleration of global warming has led to an increased burden of high temperature-related diseases (HTDs), highlighting the need for advanced evidence-based management strategies. We have developed a conceptual framework aimed at alleviating the global burden of HTDs, grounded in the One Health concept. This framework refines the impact pathway and establishes systematic data-driven models to inform the adoption of evidence-based decision-making, tailored to distinct contexts. We collected extensive national-level data from authoritative public databases for the years 2010-2019. The burdens of five categories of disease causes - cardiovascular diseases, infectious respiratory diseases, injuries, metabolic diseases, and non-infectious respiratory diseases - were designated as intermediate outcome variables. The cumulative burden of these five categories, referred to as the total HTD burden, was the final outcome variable. We evaluated the predictive performance of eight models and subsequently introduced twelve intervention measures, allowing us to explore optimal decision-making strategies and assess their corresponding contributions. Our model selection results demonstrated the superior performance of the Graph Neural Network (GNN) model across various metrics. Utilizing simulations driven by the GNN model, we identified a set of optimal intervention strategies for reducing disease burden, specifically tailored to the seven major regions: East Asia and Pacific, Europe and Central Asia, Latin America and the Caribbean, Middle East and North Africa, North America, South Asia, and Sub-Saharan Africa. Sectoral mitigation and adaptation measures, acting upon our categories of Infrastructure & Community, Ecosystem Resilience, and Health System Capacity, exhibited particularly strong performance for various regions and diseases. Seven out of twelve interventions were included in the optimal intervention package for each region, including raising low-carbon energy use, increasing energy intensity, improving livestock feed, expanding basic health care delivery coverage, enhancing health financing, addressing air pollution, and improving road infrastructure. The outcome of this study is a global decision-making tool, offering a systematic methodology for policymakers to develop targeted intervention strategies to address the increasingly severe challenge of HTDs in the context of global warming.
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Affiliation(s)
- Xin-Chen Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Hao-Ran Qian
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Yan-Yan Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Qi-Yu Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jing-Shu Liu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Hong-Yu Lai
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Wei-Guo Zheng
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Jian Sun
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Bo Fu
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Xiao-Nong Zhou
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Xiao-Xi Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
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Wang J, Wang P, Liu B, Kinney PL, Huang L, Chen K. Comprehensive evaluation framework for intervention on health effects of ambient temperature. ECO-ENVIRONMENT & HEALTH 2024; 3:154-164. [PMID: 38646097 PMCID: PMC11031729 DOI: 10.1016/j.eehl.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/28/2023] [Accepted: 01/12/2024] [Indexed: 04/23/2024]
Abstract
Despite the existence of many interventions to mitigate or adapt to the health effects of climate change, their effectiveness remains unclear. Here, we introduce the Comprehensive Evaluation Framework for Intervention on Health Effects of Ambient Temperature to evaluate study designs and effects of intervention studies. The framework comprises three types of interventions: proactive, indirect, and direct, and four categories of indicators: classification, methods, scope, and effects. We trialed the framework by an evaluation of existing intervention studies. The evaluation revealed that each intervention has its own applicable characteristics in terms of effectiveness, feasibility, and generalizability scores. We expanded the framework's potential by offering a list of intervention recommendations in different scenarios. Future applications are then explored to establish models of the relationship between study designs and intervention effects, facilitating effective interventions to address the health effects of ambient temperature under climate change.
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Affiliation(s)
- Jiaming Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Peng Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China
| | - Beibei Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Patrick L. Kinney
- Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
- Center for Public Health Research, Medical School of Nanjing University, Nanjing 210093, China
| | - Kai Chen
- Department of Environmental Health Sciences, Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT 06510, USA
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Qu C, Chen Y, Liu C, Hu Z, Zhang J, Yan L, Zhang H, Liu Y, Liu W, Cheng Q, Luo P, Liu Z. Burden of Stroke Attributable to Nonoptimal Temperature in 204 Countries and Territories: A Population-Based Study, 1990-2019. Neurology 2024; 102:e209299. [PMID: 38598742 PMCID: PMC11175652 DOI: 10.1212/wnl.0000000000209299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 01/30/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Stroke attributable to nonoptimal temperature needs more attention with dramatic climate change. The aim of this study was to estimate the global burden and distribution characteristics of the burden. METHODS In this ecological study, we collected data from the Climate Research Unit Gridded Time Series, the World Bank databases, and the Global Burden of Diseases study to estimate the distribution of burden. We used the joinpoint model, decomposition analysis, age-period-cohort model, panel data analysis, and health inequality analysis to assess the different types of stroke burden attributable to different climatic conditions. RESULTS The burden of stroke attributable to nonoptimal temperature continued to grow, and aging was a key factor in this increase. In 2019, 521,031 (95% uncertainty interval [UI] 402,433-663,996) deaths and 9,423,649 (95% UI 7,207,660-12,055,172) disability-adjusted life years [DALYs] attributable to stroke due to nonoptimal temperature were recorded globally. Globally, men (age-standardized mortality rate [ASMR] 7.70, 95% UI 5.80-9.73; age-standardized DALY rate [ASDR] 139.69, 95% UI 102.96-178.54 in 2019) had a heavier burden than women (ASMR 5.89, 95% UI 4.50-7.60; ASDR 96.02, 95% UI 72.62-123.85 in 2019). Central Asia (ASMR 18.12, 95% UI 13.40-24.53; ASDR 327.35, 95% UI 240.24-440.61 in 2019) had the heaviest burden at the regional level. In the national level, North Macedonia (ASMR 32.97, 95% UI 20.57-47.44 in 2019) and Mongolia (ASDR 568.54, 95% UI 242.03-1,031.14 in 2019) had the highest ASMR/ASDR, respectively. Low temperature currently contributes to the main burden (deaths 474,002, 95% UI 355,077-606,537; DALYs 8,357,198, 95% UI 6,186,217-10,801,911 attributable to low temperature vs deaths 48,030, 95% UI 5,630-104,370; DALYs 1,089,329, 95% UI 112,690-2,375,345 attributable to high temperature in 2019). However, the burden due to high temperature has increased rapidly, especially among people aged older than 10 years, and was disproportionately concentrated in low sociodemographic index (SDI) regions such as Africa. In addition, the rapid increase in the stroke burden due to high temperature in Central Asia also requires special attention. DISCUSSION This is the first study to assess the global stroke burden attributed to nonoptimal temperature. The dramatic increase in the burden due to high temperature requires special attention, especially in low-SDI countries.
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Affiliation(s)
- Chunrun Qu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yu Chen
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Chen Liu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhiwen Hu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jingwei Zhang
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Luzhe Yan
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Hao Zhang
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yifan Liu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Wanyao Liu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Quan Cheng
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Peng Luo
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhixiong Liu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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Polemiti E, Hese S, Schepanski K, Yuan J, Schumann G. How does the macroenvironment influence brain and behaviour-a review of current status and future perspectives. Mol Psychiatry 2024:10.1038/s41380-024-02557-x. [PMID: 38658771 DOI: 10.1038/s41380-024-02557-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
The environment influences brain and mental health, both detrimentally and beneficially. Existing research has emphasised the individual psychosocial 'microenvironment'. Less attention has been paid to 'macroenvironmental' challenges, including climate change, pollution, urbanicity, and socioeconomic disparity. Notably, the implications of climate and pollution on brain and mental health have only recently gained prominence. With the advent of large-scale big-data cohorts and an increasingly dense mapping of macroenvironmental parameters, we are now in a position to characterise the relation between macroenvironment, brain, and behaviour across different geographic and cultural locations globally. This review synthesises findings from recent epidemiological and neuroimaging studies, aiming to provide a comprehensive overview of the existing evidence between the macroenvironment and the structure and functions of the brain, with a particular emphasis on its implications for mental illness. We discuss putative underlying mechanisms and address the most common exposures of the macroenvironment. Finally, we identify critical areas for future research to enhance our understanding of the aetiology of mental illness and to inform effective interventions for healthier environments and mental health promotion.
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Affiliation(s)
- Elli Polemiti
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Sören Hese
- Institute of Geography, Friedrich Schiller University Jena, Jena, Germany
| | | | - Jiacan Yuan
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences & CMA-FDU Joint Laboratory of Marine Meteorology & IRDR-ICOE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
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Yin B, Fang W, Liu L, Guo Y, Ma X, Di Q. Effect of extreme high temperature on cognitive function at different time scales: A national difference-in-differences analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 275:116238. [PMID: 38518609 DOI: 10.1016/j.ecoenv.2024.116238] [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: 12/06/2023] [Revised: 03/14/2024] [Accepted: 03/16/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND Mounting evidence has demonstrated that high temperature was associated with adverse health outcomes, especially morbidity and mortality. Nonetheless, the impact of extreme high temperature on cognitive performance, which is the fundamental capacity for interpreting one's surroundings, decision-making, and acquiring new abilities, has not been thoroughly investigated. METHODS We aimed to assess associations between extreme high temperature at different time scales and poor cognitive function. We used longitudinal survey data from the three waves of data from China Family Panel Study, providing an 8-year follow-up of 53,008 participants from China. We assessed temperature and extreme high temperature exposure for each participant based on the residential area and date of cognitive test. We defined the proportion of days/hours above 32 °C as the metric of the exposure to extreme high temperature. Then we used generalized additive model and difference-in-differences approach to explore the associations between extreme high temperature and cognitive function. RESULTS Our results demonstrated that either acute exposure or long-term exposure to extreme high temperature was associated with cognitive decline. At hourly level, 0-1 hour acute exposure to extreme high temperature would induce -0.93 % (95 % CI: -1.46 %, -0.39 %) cognitive change. At annual level, 10 percentage point increase in the hours proportion exceeding 32 °C in the past two years induced -9.87 % (95 % CI: -13.99 %, -5.75 %) cognitive change. Furthermore, subgroup analyses indicated adaptation effect: for the same 10 percentage increase in hours proportion exceeding 32 °C, people in warmer areas had cognitive change of -6.41 % (-11.22 %, -1.61 %), compared with -15.30 % (-21.07 %, -9.53 %) for people in cool areas. CONCLUSION Our results demonstrated that extreme high temperature was associated with reduced cognitive function at hourly, daily and annual levels, warning that people should take better measures to protect the cognitive function in the context of climate change.
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Affiliation(s)
- Bo Yin
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Wen Fang
- Division of Sports Science & Physical Education, Tsinghua University, Beijing 100084, China
| | - Linfeng Liu
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Xindong Ma
- Division of Sports Science & Physical Education, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China; Institute for Healthy China, Tsinghua University, Beijing 100084, China.
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Chiu KC, Hsieh MS, Huang YT, Liu CY. Exposure to ambient temperature and heat index in relation to DNA methylation age: A population-based study in Taiwan. ENVIRONMENT INTERNATIONAL 2024; 186:108581. [PMID: 38507934 DOI: 10.1016/j.envint.2024.108581] [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: 09/01/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Climate change caused an increase in ambient temperature in the past decades. Exposure to high ambient temperature could result in biological aging, but relevant studies in a warm environment were lacking. We aimed to study the exposure effects of ambient temperature and heat index (HI) in relation to age acceleration in Taiwan, a subtropical island in Asia. METHODS The study included 2,084 participants from Taiwan Biobank. Daily temperature and relative humidity data were collected from weather monitoring stations. Individual residential exposure was estimated by ordinary kriging. Moving averages of ambient temperature and HI from 1 to 180 days prior to enrollment were calculated to estimate the exposure effects in multiple time periods. Age acceleration was defined as the difference between DNA methylation age and chronological age. DNA methylation age was calculated by the Horvath's, Hannum's, Weidner's, ELOVL2, FHL2, phenotypic (Pheno), Skin & blood, and GrimAge2 (Grim2) DNA methylation age algorithms. Multivariable linear regression models, generalized additive models (GAMs), and distributed lag non-linear models (DLNMs) were conducted to estimate the effects of ambient temperature and HI exposures in relation to age acceleration. RESULTS Exposure to high ambient temperature and HI were associated with increased age acceleration, and the associations were stronger in prolonged exposure. The heat stress days with maximum HI in caution (80-90°F), extreme caution (90-103°F), danger (103-124°F), and extreme danger (>124°F) were also associated with increased age acceleration, especially in the extreme danger days. Each extreme danger day was associated with 571.38 (95 % CI: 42.63-1100.13), 528.02 (95 % CI: 36.16-1019.87), 43.9 (95 % CI: 0.28-87.52), 16.82 (95 % CI: 2.36-31.28) and 15.52 (95 % CI: 2.17-28.88) days increase in the Horvath's, Hannum's, Weidner's, Pheno, and Skin & blood age acceleration, respectively. CONCLUSION High ambient temperature and HI may accelerate biological aging.
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Affiliation(s)
- Kuan-Chih Chiu
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Ming-Shun Hsieh
- Department of Emergency Medicine, Taipei Veterans General Hospital, Taoyuan Branch, Taoyuan, Taiwan; Department of Emergency Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yen-Tsung Huang
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan; Department of Mathematics, College of Science, National Taiwan University, Taipei, Taiwan; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chen-Yu Liu
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan; Population Health Research Center, National Taiwan University, Taipei, Taiwan.
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Yang Q, Xu D, Yang Y, Lu S, Wang D, Wang L. Global, Regional, and National Burden of Gastric Cancer in Adolescents and Young Adults, 1990-2019: A Systematic Analysis for the Global Burden of Disease Study 2019. Am J Gastroenterol 2024; 119:454-467. [PMID: 37800697 PMCID: PMC10904006 DOI: 10.14309/ajg.0000000000002551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/22/2023] [Indexed: 10/07/2023]
Abstract
INTRODUCTION Gastric cancer is a significant global health concern, ranking as the fifth most common cancer worldwide and the third leading cause of cancer-related mortality. While improvements in health awareness and medical technology have contributed to a decline in the incidence of gastric cancer in many countries, the rate of gastric cancer in adolescents and young adults (GCAYA) has shown an upward trend. Timely and effective strategies for screening, detection, and treatment are crucial for managing the burden of GCAYA and optimizing the allocation of medical resources. To this end, our study aimed to examine the distribution of the burden of GCAYA across different factors at the global, regional, and national levels between 1990 and 2019. By identifying and analyzing these factors, we can better inform efforts to combat this growing health challenge. METHODS This study used data from the Global Burden of Disease database to analyze the global, regional, and national incidence, mortality, and disability-adjusted life years (DALY) GCAYA from 1990 to 2019. The age-standardized incidence rate (ASIR), age-standardized mortality rate, and age-standardized DALY rate (ASDR) of GCAYA were summarized and presented in a visually intuitive manner at the global, regional, and national levels. In addition, we calculated the estimated annual percentage change for each indicator of GCAYA globally, regionally, and nationally and visually displayed the results. Furthermore, we conducted an age-based analysis of adolescents and young adults with gastric cancer, comparing the age composition of deaths and the age burden of patients between 1990 and 2019. For the sake of brevity, we will use the abbreviation GCAYA to refer to gastric cancer among adolescents and young adults throughout the remainder of this article. RESULTS From 1990 to 2019, the incidence of GCAYA has slightly increased globally. The number of newly diagnosed cases rose from 47,932 (95% uncertainty interval 44,592.9-51,005.7) in 1990 to 49,007 (45,007.7-53,078.1) in 2019, while the number of deaths decreased from 35,270 (32,579-37,678.5) to 27,895 (25,710.9-30,240.4). The global ASIR showed a declining trend, decreasing from 22.4 (95% uncertainty interval 21.2-23.6) per 100,000 in 1990 to 15.6 (14.1-17.2) per 100,000 in 2019. The age-standardized mortality rate also showed a declining trend, decreasing from 20.5 (19.2-21.6) per 100,000 in 1990 to 11.9 (10.8-12.8) per 100,000 in 2019. The ASDR also showed a declining trend, decreasing from 493.4 (463.7-523.7) per 100,000 in 1990 to 268.4 (245.5-290.6) per 100,000 in 2019. From 1990 to 2019, the incidence, mortality, and DALY of gastric cancer among male adolescents and young adults were higher than those of female adolescents and young adults. In 2019, the number of male adolescents and young adults with gastric cancer was 2.1 times higher than that of female individuals (368.9 [328.2-410.3] vs 178.2 [160.5-196.9]), the number of deaths was 1.1 times higher (14,971.6 [13,643.3-16,520.5] vs 12,923.6 [11,550.3-14,339]), and the DALY were 1.1 times higher (841,920.5 [766,655.5-927,598.8] vs 731,976.3 [653,421-814,242.8]). The incidence and DALY of GCAYA were higher in regions with high-middle and middle sociodemographic index countries. The age-standardized mortality rate of GCAYA in 198 countries and territories showed a decreasing trend, with the Republic of Korea showing the greatest decrease from 1,360.5 (1,300.3-51,416.5) per 100,000 in 1990 to 298.7 (270.1-328.4) per 100,000 in 2019, with an estimated annual percentage change of -5.14 (95% confidence interval -7.23 to -2.99). The incidence and DALY of GCAYA increased with age, with the highest proportion of patients being in the 35-39 years age group. In both 1990 and 2019, the age of death from GCAYA was mainly concentrated in the 35-39 years age group, accounting for approximately half of the total population. DISCUSSION In the past 30 years, although the total number of new cases of GCAYA has increased with population growth, the ASIR and overall disease burden have shown a decreasing trend. This indicates progress in screening, diagnosis, treatment, education, and awareness efforts. However, the distribution of this disease remains uneven in terms of sex, age, development level, region, and country. To address these challenges, global health authorities should take appropriate measures such as optimizing screening programs, strengthening awareness and screening efforts for male individuals, enhancing prevention and control among the 35-39 years age group, improving infrastructure and health care resources in developing countries, promoting international cooperation, and implementing tailored measures.
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Affiliation(s)
- Qizhi Yang
- Medical College of Yangzhou University, Yangzhou, Jiangsu, China;
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China;
- General Surgery Institute of Yangzhou, Yangzhou, Jiangsu, China;
- Department of Thoracic Surgery, No.6 People's Hospital of Xuzhou, Xuzhou, Jiangsu, China;
| | - Dandan Xu
- Department of Intensive Care Unit, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yapeng Yang
- Medical College of Yangzhou University, Yangzhou, Jiangsu, China;
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China;
- General Surgery Institute of Yangzhou, Yangzhou, Jiangsu, China;
| | - Sen Lu
- Department of Thoracic Surgery, No.6 People's Hospital of Xuzhou, Xuzhou, Jiangsu, China;
| | - Daorong Wang
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China;
- General Surgery Institute of Yangzhou, Yangzhou, Jiangsu, China;
- Yangzhou Key Laboratory of Basic and Clinical Transformation of Digestive and Metabolic Diseases, Yangzhou, Jiangsu, China.
| | - Liuhua Wang
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China;
- General Surgery Institute of Yangzhou, Yangzhou, Jiangsu, China;
- Yangzhou Key Laboratory of Basic and Clinical Transformation of Digestive and Metabolic Diseases, Yangzhou, Jiangsu, China.
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Zheng J, Lin H, Ling J, Huang J, Li D. The trends of disease burden due to high temperature in Mainland China from 1990 to 2019 and its prediction to 2030. Sci Rep 2023; 13:22238. [PMID: 38097708 PMCID: PMC10721800 DOI: 10.1038/s41598-023-49491-6] [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: 08/12/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023] Open
Abstract
The risk of high-temperature-related diseases is increasing owing to global warming. This study aimed to assess the trend of disease burden caused by high temperatures in Mainland China from 1990 to 2019 and to predict the trend of disease burden over the next 10 years. The latest data were downloaded from the Global Burden of Disease Database (GBD) for analysis, and the disease burden related to high temperature was described by mortality and disability-adjusted life-years (DALYs) and stratified by etiology, sex, and age. Statistical analyses were performed using the R software. In 2019, there were 13,907 deaths attributed to high temperatures in Mainland China, and this was 29.55% higher than the 10,735 deaths in 1990. Overall, the age-standardized mortality and DALYs attributed to high temperatures showed a downward trend from 1990 to 2019. We observed an etiological shift in high-temperature-related diseases. The age-standardized DALYs contribution attributed to high temperatures in 1990 was mainly from communicable, maternal, neonatal, and nutritional diseases (CMNND) (21.81/100,000), followed by injury (18.30/100,000) and non-communicable diseases (10.40/100,000). In 2019, the largest contribution shifted to non-communicable diseases (10.07/100,000), followed by injuries (5.21/100,000), and CMNND (2.30/100,000). The disease burden attributed to high temperatures was higher in males than in females and increased with age. In 2030, the mortality rate and DALYs due to high temperatures are predicted to decrease further, and the largest contribution will come from chronic non-communicable diseases, the occurrence of which will remain at a high level over the next 10 years. The burden of disease due to high temperatures in Mainland China is still heavy, mainly due to population aging and an increase in non-communicable diseases.
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Affiliation(s)
- Jiaolong Zheng
- Department of Hepatobiliary Disease, The 900th Hospital of Joint Logistics Support Force, No. 156 Northern Xi'er Huan Road, Fuzhou, 350025, China
- Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Haiyan Lin
- Department of Hepatobiliary Disease, The 900th Hospital of Joint Logistics Support Force, No. 156 Northern Xi'er Huan Road, Fuzhou, 350025, China
- Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Jingyi Ling
- Department of Hepatobiliary Disease, The 900th Hospital of Joint Logistics Support Force, No. 156 Northern Xi'er Huan Road, Fuzhou, 350025, China
- Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Jiaofeng Huang
- Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Dongliang Li
- Department of Hepatobiliary Disease, The 900th Hospital of Joint Logistics Support Force, No. 156 Northern Xi'er Huan Road, Fuzhou, 350025, China.
- Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China.
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Liu M, Meijer P, Lam TM, Timmermans EJ, Grobbee DE, Beulens JWJ, Vaartjes I, Lakerveld J. The built environment and cardiovascular disease: an umbrella review and meta-meta-analysis. Eur J Prev Cardiol 2023; 30:1801-1827. [PMID: 37486178 DOI: 10.1093/eurjpc/zwad241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/02/2023] [Accepted: 07/07/2023] [Indexed: 07/25/2023]
Abstract
AIMS To provide a comprehensive overview of the current evidence on objectively measured neighbourhood built environment exposures in relation to cardiovascular disease (CVD) events in adults. METHODS AND RESULTS We searched seven databases for systematic reviews on associations between objectively measured long-term built environmental exposures, covering at least one domain (i.e. outdoor air pollution, food environment, physical activity environment like greenspace and walkability, urbanization, light pollution, residential noise, and ambient temperature), and CVD events in adults. Two authors extracted summary data and assessed the risk of bias independently. Robustness of evidence was rated based on statistical heterogeneity, small-study effect, and excess significance bias. Meta-meta-analyses were conducted to combine the meta-analysis results from reviews with comparable exposure and outcome within each domain. From the 3304 initial hits, 51 systematic reviews were included, covering 5 domains and including 179 pooled estimates. There was strong evidence of the associations between increased air pollutants (especially PM2.5 exposure) and increased residential noise with greater risk of CVD. Highly suggestive evidence was found for an association between increased ambient temperature and greater risk of CVD. Systematic reviews on physical activity environment, food environment, light pollution, and urbanization in relation to CVD were scarce or lacking. CONCLUSION Air pollutants, increased noise levels, temperature, and greenspace were associated with CVD outcomes. Standardizing design and exposure assessments may foster the synthesis of evidence. Other crucial research gaps concern the lack of prospective study designs and lack of evidence from low-to-middle-income countries (LMICs). REGISTRATION PROSPERO: CRD42021246580.
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Affiliation(s)
- Mingwei Liu
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Paul Meijer
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
- Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
| | - Thao Minh Lam
- Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviours & Chronic Diseases, 1105 AZ, Amsterdam, The Netherlands
| | - Erik J Timmermans
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Diederick E Grobbee
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Joline W J Beulens
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviours & Chronic Diseases, 1105 AZ, Amsterdam, The Netherlands
| | - Ilonca Vaartjes
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Jeroen Lakerveld
- Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviours & Chronic Diseases, 1105 AZ, Amsterdam, The Netherlands
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Polemiti E, Hese S, Schepanski K, Yuan J, Schumann G. How does the macroenvironment influence brain and behaviour - a review of current status and future perspectives. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.09.23296785. [PMID: 37873310 PMCID: PMC10593044 DOI: 10.1101/2023.10.09.23296785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
The environment influences mental health, both detrimentally and beneficially. Current research has emphasized the individual psychosocial 'microenvironment'. Less attention has been paid to 'macro-environmental' challenges including climate change, pollution, urbanicity and socioeconomic disparity. With the advent of large-scale big-data cohorts and an increasingly dense mapping of macroenvironmental parameters, we are now in a position to characterise the relation between macroenvironment, brain, and behaviour across different geographic and cultural locations globally. This review synthesises findings from recent epidemiological and neuroimaging studies, aiming to provide a comprehensive overview of the existing evidence between the macroenvironment and the structure and functions of the brain, with a particular emphasis on its implications for mental illness. We discuss putative underlying mechanisms and address the most common exposures of the macroenvironment. Finally, we identify critical areas for future research to enhance our understanding of the aetiology of mental illness and to inform effective interventions for healthier environments and mental health promotion.
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Affiliation(s)
- Elli Polemiti
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité, Universitätsmedizin Berlin, Germany
| | - Soeren Hese
- Institute of Geography, Friedrich Schiller University Jena, Germany
| | | | - Jiacan Yuan
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences & CMA-FDU Joint Laboratory of Marine Meteorology & IRDR-ICOE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience, Charité, Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
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12
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Pan G, Cheng J, Pan HF, Fan YG, Ye DQ. Global Chronic obstructive pulmonary disease burden attributable to air pollution from 1990 to 2019. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:1543-1553. [PMID: 37522974 DOI: 10.1007/s00484-023-02504-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/26/2022] [Accepted: 10/07/2022] [Indexed: 08/01/2023]
Abstract
BACKGROUND The disease burden attributable to chronic obstructive pulmonary disease (COPD) is significant worldwide. Some studies have linked exposure to air pollution to COPD, but there has been little research on this. METHODS We aimed to assess the COPD-related disease burden attributable to air pollution from multiple epidemiological perspectives. This study conducted a three-stage analysis. Firstly, we reported on the burden of disease worldwide in 2019 by different subgroups including sex, age, region, and country. Secondly, we studied the trends in disease burden from 1990 to 2019. Finally, we explored the association of some national indicators with disease burden to look for risk factors. RESULTS In 2019, the death number of COPD associated with air pollution accounted for 2.32% of the total global death, and the number of DALY accounted for 1.12% of the global DALY. From 1990 to 2019, the death number of COPD associated with air pollution increased peaked at 1.41 million in 1993, fluctuated, and then declined. We found the same temporal pattern of DALY. The corresponding age-standardized rates had been falling. At the same time, the burden of COPD associated with air pollution was also affected by some national indicators. CONCLUSIONS This study indicated that air pollution-related COPD contributed to a significant global disease burden. We called for health policymakers to take action and interventions targeting vulnerable countries and susceptible populations.
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Affiliation(s)
- Guixia Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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13
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Bo Y, Zhu Y, Lu R, Chen L, Wen W, Jiang B, Wang X, Li J, Chen S, Qin P. Burden of stroke attributable to high ambient temperature from 1990 to 2019: A global analysis. Int J Stroke 2023; 18:1121-1131. [PMID: 37300302 DOI: 10.1177/17474930231183858] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
AIMS To determine the global and regional burden of stroke due to high temperature and the spatiotemporal trends in 204 countries and territories from 1990 to 2019. METHODS Based on Global Burden of Disease Study 2019, deaths, disability-adjusted life years (DALYs), and age-standardized mortality rate (ASMR) and age-standardized DALY rate (ASDR) for stroke attributable to high temperature (i.e. a daily mean temperature warmer than the theoretical minimum-risk exposure level (TMREL)) were calculated in global, geographical location, and country and analyzed by age, sex, subtypes, and socio-demographic index (SDI) from 1990 to 2019. The trends in ASMR and ASDR from 1990 to 2019 were estimated by linear regression model. The regression coefficients (β) referred to a mean change of per year for ASMR or ASDR attributable to high temperature. RESULTS The global burden of stroke attributable to high temperature had an increase trend from 1990 to 2019 (β = 0.005, 95% uncertainty interval (UI) = 0.003-0.007 for ASMR and β = 0.104, 95% UI = 0.066-0.142 for ASDR, respectively). Globally, in 2019, an estimated 0.048 million deaths and 1.01 million DALYs of stroke were attributable to high temperature, and the global ASMR and ASDR of stroke attributable to high temperature were 0.60 (95% UI = 0.07-1.30) and 13.31 (1.40-28.97) per 100,000 population, respectively. The largest burden occurred in Western Sub-Saharan Africa, followed by South Asia, Southeast Asia, and North Africa and the Middle East. ASMR and ASDR increased with age and were higher in males and for intracerebral hemorrhage, and were the highest in the low SDI regions. In 2019, the region with the largest percentage increase in ASMR and ASDR attributable to high temperature was Eastern Sub-Saharan Africa from 1990 to 2019. CONCLUSIONS Stroke burden due to high temperature has been increasing, and a higher burden was observed in people aged 65-75 years, males, and countries with a low SDI. Stroke burden attributable to high temperature constitutes a major global public health concern in the context of global warming.
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Affiliation(s)
- Yacong Bo
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yongjian Zhu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiqi Lu
- School of Public Health, Shantou University, Shantou, China
- Clinical Center for Public Health, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Lifang Chen
- Department of Cardiology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Wanyi Wen
- School of Public Health, Shantou University, Shantou, China
- Clinical Center for Public Health, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Bin Jiang
- Department of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Xiaojie Wang
- Department of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Jiangtao Li
- Department of Cardiology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Shanquan Chen
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Pei Qin
- Clinical Center for Public Health, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
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Sun H, Liu Y, Xu Y, Gong X, Zhai C, Hu W, Wang Y, Zong Q, Yu G, Wang L, Yan Z, Zhang T, Wang F, Zou Y. Global disease burden attributed to high sugar-sweetened beverages in 204 countries and territories from 1990 to 2019. Prev Med 2023; 175:107690. [PMID: 37659613 DOI: 10.1016/j.ypmed.2023.107690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/04/2023]
Abstract
High sugar-sweetened beverages (SSBs) are a controllable risk factor for chronic non-communicable diseases (NCDs), but their effect on the global disease burden is uncertain. The study aims to assess the global burden of high SSBs from 1990 to 2019. Global Burden of Disease (GBD) 2019 provides data on deaths, disability-adjusted life years (DALYs), years of life with disabilities (YLDs) and years of life lost (YLLs) ascribe to high SSBs by ages, genders, regions and countries. For the past 30 years, overall exposure to high SSBs decreased for males and increased for females. The number of deaths from chronic NCDs ascribed to high SSBs increased from 149,988 (110,278-182,947) to 242,218 (172,045-302,250), DALYs increased from 3,698,578 (2,693,476-4,559,740) to 6,307,562 (4,300,765-8,079,556), especially the males. Age-standardized YLDs rate (ASYLDs) increased from 11.58 to 17.03. The number of ischemic heart disease (IHD) and diabetes mellitus (DM) deaths and DALYs ascribed to high SSBs has been increasing. Age-standardized death rate (ASDR) for DM risen from 0.56 to 0.62, age-standardized DALYs rate (ASDALYs) risen from 21.41 to 28.21. The burden of disease ascribed to high SSBs was in the elderly significantly higher than in the young and middle-aged, mainly concentrated in Central Asia and Oceania. The disease burden was highest in regions with moderate sociodemographic index (SDI). More extraordinary efforts should be made to raise awareness among the general public about interventions aimed at limiting the use of high SSBs, to reduce disease burden ascribed to high SSBs.
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Affiliation(s)
- Hongyu Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yuqi Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Ying Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Xingyu Gong
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Chunxia Zhai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Wanqin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yuhua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Qiqun Zong
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Guanghui Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Linlin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Ziye Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Tingyu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Fang Wang
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yanfeng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
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Qu C, He R, Hou W, Ye W, Cao H, Zhang H, Zhang N, Cheng Q, Zhang Q, Luo P. Global burden of neoplasms attributable to specific occupational carcinogens over 30 years: a population-based study. Public Health 2023; 223:145-155. [PMID: 37657137 DOI: 10.1016/j.puhe.2023.07.032] [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: 04/10/2023] [Revised: 07/16/2023] [Accepted: 07/25/2023] [Indexed: 09/03/2023]
Abstract
OBJECTIVES The study aimed to analyze the global burden of occupational neoplasms from various epidemiological perspectives. STUDY DESIGN In this cross-sectional study, secondary analyses were conducted to assess the burden of neoplasms attributable to occupational carcinogens and their distribution characteristics using data from GBD 2019 and the World Bank database. METHODS Based on the GBD 2019 and the World Bank database, we analyzed the global burden of occupational neoplasms including the age-period-cohort model, decomposition analysis, health inequality analysis, and panel model. All analyses were conducted in R (version 4.0.3) and Joinpoint (version 4.9.1). RESULTS The absolute number of neoplasms burden attributable to occupational carcinogens has continued to rise over 30 years. In 2019, occupational neoplasms caused 333,867 [95% uncertainty interval (UI): 263,491 to 404,641] mortalities and 6,964,775 (95% UI: 5,467,884 to 8,580,431) disability-adjusted life years (DALYs) globally. Greenland, Monaco, the Netherlands, and Andorra suffered the highest burden. The burden was higher in countries with a higher sociodemographic index. The age effect was prominent in the elderly, and the 1925 birth cohort had the highest cohort effect. Population growth was the most significant driver of the mortalities (89%) and DALYs (111%) change. Moreover, the proportion of urban population was significantly positively associated with the disease burden, while GDP per capita was negatively correlated with the disease burden. CONCLUSIONS The burden of occupational neoplasms was unevenly distributed across locations and populations. The need for rational allocation of healthcare resources was urgent.
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Affiliation(s)
- C Qu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; XiangYa School of Medicine, Central South University, Changsha, Hunan, China
| | - R He
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; XiangYa School of Medicine, Central South University, Changsha, Hunan, China
| | - W Hou
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; XiangYa School of Medicine, Central South University, Changsha, Hunan, China
| | - W Ye
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - H Cao
- Department of Psychiatry, Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - H Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - N Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Q Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Q Zhang
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - P Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
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Wang FL, Wang WZ, Zhang FF, Peng SY, Wang HY, Chen R, Wang JW, Li PF, Wang Y, Zhao MH, Yang C, Zhang LX. Heat exposure and hospitalizations for chronic kidney disease in China: a nationwide time series study in 261 major Chinese cities. Mil Med Res 2023; 10:41. [PMID: 37670366 PMCID: PMC10478241 DOI: 10.1186/s40779-023-00478-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/29/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Climate change profoundly shapes the population health at the global scale. However, there was still insufficient and inconsistent evidence for the association between heat exposure and chronic kidney disease (CKD). METHODS In the present study, we studied the association of heat exposure with hospitalizations for cause-specific CKD using a national inpatient database in China during the study period of hot season from 2015 to 2018. Standard time-series regression models and random-effects meta-analysis were developed to estimate the city-specific and national averaged associations at a 7 lag-day span, respectively. RESULTS A total of 768,129 hospitalizations for CKD was recorded during the study period. The results showed that higher temperature was associated with elevated risk of hospitalizations for CKD, especially in sub-tropical cities. With a 1 °C increase in daily mean temperature, the cumulative relative risks (RR) over lag 0-7 d were 1.008 [95% confidence interval (CI) 1.003-1.012] for nationwide. The attributable fraction of CKD hospitalizations due to high temperatures was 5.50%. Stronger associations were observed among younger patients and those with obstructive nephropathy. Our study also found that exposure to heatwaves was associated with added risk of hospitalizations for CKD compared to non-heatwave days (RR = 1.116, 95% CI 1.069-1.166) above the effect of daily mean temperature. CONCLUSIONS Short-term heat exposure may increase the risk of hospitalization for CKD. Our findings provide insights into the health effects of climate change and suggest the necessity of guided protection strategies against the adverse effects of high temperatures.
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Affiliation(s)
- Fu-Lin Wang
- Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Wan-Zhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Fei-Fei Zhang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Su-Yuan Peng
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Huai-Yu Wang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Rui Chen
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
| | - Jin-Wei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
| | - Peng-Fei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China
| | - Yang Wang
- National Climate Center, China Meteorological Administration, Beijing, 100081, China
| | - Ming-Hui Zhao
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
- Peking-Tsinghua Center for Life Sciences, Beijing, 100034, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China.
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China.
| | - Lu-Xia Zhang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China.
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China.
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Liu J, Hansen A, Varghese BM, Dear K, Tong M, Prescott V, Dolar V, Gourley M, Driscoll T, Zhang Y, Morgan G, Capon A, Bi P. Estimating the burden of disease attributable to high ambient temperature across climate zones: methodological framework with a case study. Int J Epidemiol 2023; 52:783-795. [PMID: 36511334 PMCID: PMC10244055 DOI: 10.1093/ije/dyac229] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 11/30/2022] [Indexed: 10/24/2023] Open
Abstract
BACKGROUND With high temperature becoming an increasing health risk due to a changing climate, it is important to quantify the scale of the problem. However, estimating the burden of disease (BoD) attributable to high temperature can be challenging due to differences in risk patterns across geographical regions and data accessibility issues. METHODS We present a methodological framework that uses Köppen-Geiger climate zones to refine exposure levels and quantifies the difference between the burden observed due to high temperatures and what would have been observed if the population had been exposed to the theoretical minimum risk exposure distribution (TMRED). Our proposed method aligned with the Australian Burden of Disease Study and included two parts: (i) estimation of the population attributable fractions (PAF); and then (ii) estimation of the BoD attributable to high temperature. We use suicide and self-inflicted injuries in Australia as an example, with most frequent temperatures (MFTs) as the minimum risk exposure threshold (TMRED). RESULTS Our proposed framework to estimate the attributable BoD accounts for the importance of geographical variations of risk estimates between climate zones, and can be modified and adapted to other diseases and contexts that may be affected by high temperatures. CONCLUSIONS As the heat-related BoD may continue to increase in the future, this method is useful in estimating burdens across climate zones. This work may have important implications for preventive health measures, by enhancing the reproducibility and transparency of BoD research.
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Affiliation(s)
- Jingwen Liu
- School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Alana Hansen
- School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Blesson M Varghese
- School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Keith Dear
- School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Michael Tong
- School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Vanessa Prescott
- Burden of Disease and Mortality Unit, Australian Institute of Health and Welfare, Canberra, ACT, Australia
| | - Vergil Dolar
- Burden of Disease and Mortality Unit, Australian Institute of Health and Welfare, Canberra, ACT, Australia
| | - Michelle Gourley
- Burden of Disease and Mortality Unit, Australian Institute of Health and Welfare, Canberra, ACT, Australia
| | - Timothy Driscoll
- Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Ying Zhang
- Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Geoffrey Morgan
- Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Anthony Capon
- Monash Sustainable Development Institute, Monash University, Melbourne, VIC, Australia
| | - Peng Bi
- School of Public Health, University of Adelaide, Adelaide, SA, Australia
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18
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Jana A, Kundu S, Shaw S, Chakraborty S, Chattopadhyay A. Spatial shifting of COVID-19 clusters and disease association with environmental parameters in India: A time series analysis. ENVIRONMENTAL RESEARCH 2023; 222:115288. [PMID: 36682443 PMCID: PMC9850905 DOI: 10.1016/j.envres.2023.115288] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 12/23/2022] [Accepted: 01/10/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND The viability and virulence of COVID-19 are complex in nature. Although the relationship between environmental parameters and COVID-19 is well studied across the globe, in India, such studies are limited. This research aims to explore long-term exposure to weather conditions and the role of air pollution on the infection spread and mortality due to COVID-19 in India. METHOD District-level COVID-19 data from April 26, 2020 to July 10, 2021 was used for the study. Environmental determinants such as land surface temperature, relative humidity (RH), Sulphur dioxide (SO2), Nitrogen dioxide (NO2), Ozone (O3), and Aerosol Optical Depth (AOD) were considered for analysis. The bivariate spatial association was used to explore the spatial relationship between Case Fatality Rate (CFR) and these environmental factors. Further, the Bayesian multivariate linear regression model was applied to observe the association between environmental factors and the CFR of COVID-19. RESULTS Spatial shifting of COVID-19 cases from Western to Southern and then Eastern parts of India were well observed. The infection rate was highly concentrated in most of the Western and Southern regions of India, while the CFR shows more concentration in Northern India along with Maharashtra. Four main spatial clusters of infection were recognized during the study period. The time-series analysis indicates significantly more CFR with higher AOD, O3, and NO2 in India. CONCLUSIONS COVID-19 is highly associated with environmental parameters and air pollution in India. The study provides evidence to warrant consideration of environmental parameters in health models to mediate potential solutions. Cleaner air is a must to mitigate COVID-19.
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Affiliation(s)
- Arup Jana
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
| | - Sampurna Kundu
- Center of Social Medicine and Community Health, Jawaharlal Nehru University, Delhi, 110067, India.
| | - Subhojit Shaw
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
| | - Sukanya Chakraborty
- IMPRS Neuroscience, Max Planck Institute of Multidisciplinary Sciences, University of Goettingen, Germany.
| | - Aparajita Chattopadhyay
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
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Jiao A, Sun Y, Sacks DA, Avila C, Chiu V, Molitor J, Chen JC, Sanders KT, Abatzoglou JT, Slezak J, Benmarhnia T, Getahun D, Wu J. The role of extreme heat exposure on premature rupture of membranes in Southern California: A study from a large pregnancy cohort. ENVIRONMENT INTERNATIONAL 2023; 173:107824. [PMID: 36809710 PMCID: PMC10917632 DOI: 10.1016/j.envint.2023.107824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 01/21/2023] [Accepted: 02/12/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Significant mortality and morbidity in pregnant women and their offspring are linked to premature rupture of membranes (PROM). Epidemiological evidence for heat-related PROM risk is extremely limited. We investigated associations between acute heatwave exposure and spontaneous PROM. METHODS We conducted this retrospective cohort study among mothers in Kaiser Permanente Southern California who experienced membrane ruptures during the warm season (May-September) from 2008 to 2018. Twelve definitions of heatwaves with different cut-off percentiles (75th, 90th, 95th, and 98th) and durations (≥ 2, 3, and 4 consecutive days) were developed using the daily maximum heat index, which incorporates both daily maximum temperature and minimum relative humidity in the last gestational week. Cox proportional hazards models were fitted separately for spontaneous PROM, term PROM (TPROM), and preterm PROM (PPROM) with zip codes as the random effect and gestational week as the temporal unit. Effect modification by air pollution (i.e., PM2.5 and NO2), climate adaptation measures (i.e., green space and air conditioning [AC] penetration), sociodemographic factors, and smoking behavior was examined. RESULTS In total, we included 190,767 subjects with 16,490 (8.6%) spontaneous PROMs. We identified a 9-14% increase in PROM risks associated with less intense heatwaves. Similar patterns as PROM were found for TPROM and PPROM. The heat-related PROM risks were greater among mothers exposed to a higher level of PM2.5 during pregnancy, under 25 years old, with lower education and household income level, and who smoked. Even though climate adaptation factors were not statistically significant effect modifiers, mothers living with lower green space or lower AC penetration were at consistently higher heat-related PROM risks compared to their counterparts. CONCLUSION Using a rich and high-quality clinical database, we detected harmful heat exposure for spontaneous PROM in preterm and term deliveries. Some subgroups with specific characteristics were more susceptible to heat-related PROM risk.
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Affiliation(s)
- Anqi Jiao
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA
| | - Yi Sun
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA; Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - David A Sacks
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA; Department of Obstetrics and Gynecology, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | - Chantal Avila
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Vicki Chiu
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90033, USA
| | - Kelly T Sanders
- Department of Civil and Environmental Engineering, University of Southern California, CA, USA
| | | | - Jeff Slezak
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Tarik Benmarhnia
- Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Darios Getahun
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
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20
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He L, Liu C, Shan X, Zhang L, Zheng L, Yu Y, Tian X, Xue B, Zhang Y, Qin X, Wang C, Zhang K, Luo B. Impact of high temperature on road injury mortality in a changing climate, 1990-2019: A global analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159369. [PMID: 36228793 DOI: 10.1016/j.scitotenv.2022.159369] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/23/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Previous studies have shown that extreme heat likely increases the risk of road injuries. However, the global burden of road injuries due to high temperature and contributing factors remain unclear. This study aims to characterize the global, regional and national burden of road injuries due to high temperature from 1990 to 2019. METHODS Based on the Global Burden of Disease (GBD) study 2019, we obtained the numbers and age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years (DALY) rates (ASDR) of the road injury due to high temperature at global, regional, and national levels from 1990 to 2019. The world is divided into five climate zones according to the average annual temperature of each country: tropical, subtropical, warm temperate, cold temperate, and boreal. We used the generalized additive models (GAM) to model the trends of road injuries globally and by region. RESULTS Globally, between 1990 and 2019, the deaths of road injury attributable to high temperature increased significantly from 20,270 (95% uncertainty interval [UI], 7836 to 42,716) to 28,396 (95% UI, 13,311 to 51,178), and the DALYs increased from 1,169,309 (95% UI, 450,834 to 2,491,075) to 1,414,527 (95% UI, 658,347 to 2,543,613). But the ASMR and the ASDR slightly decreased by 8.49% and 13.16%, respectively. The burden of road injury death attributable to high temperature remained high in low SDI and tropical regions. In addition, road transport infrastructure investment per inhabitant is associated with the burden of road injuries attributable to high temperature. CONCLUSIONS Globally, the ASMR and ASDR for road injuries attributable to high temperature decreased from 1990 to 2019, but the absolute death and DALYs continued to increase. Thus, concerning global warming, implementation of prevention and interventions to reduce road injuries from heat exposure should be stressed globally.
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Affiliation(s)
- Li He
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Ce Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Xiaobing Shan
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Ling Zhang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Ling Zheng
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Yunhui Yu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Xiaoyu Tian
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Baode Xue
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Yu Zhang
- Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL 33620, USA
| | - Xiao Qin
- Department of Civil and Environmental Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
| | - Cara Wang
- Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, Troy, NY 12211, USA
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, NY 12144, USA.
| | - 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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21
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Hu W, Fang L, Zhang H, Ni R, Pan G. Changing trends in the air pollution-related disease burden from 1990 to 2019 and its predicted level in 25 years. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:1761-1773. [PMID: 35922595 PMCID: PMC9362347 DOI: 10.1007/s11356-022-22318-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
In the twenty-first century, exposure to air pollution has become a threat to human health worldwide due to industrial development. Timely, comprehensive, and reliable assessment and prediction of disease burden can help mitigate the health hazards of air pollution. This study conducted a two-stage analysis. First, we reported the air pollution-related disease burden globally and for different subgroups like socio-demographic index (SDI), sex, and age. We analyzed the trend of the disease burden from 1990 to 2019. In addition, we explored whether and how some national indicators modified the disease burden. Second, we predicted the number and the age-standardized rates of death and disability-adjusted life years (DALYs) attributable to air pollution from 2020 to 2044 by the autoregressive integrated moving average (ARIMA) model and exponential smoothing model. The age-period-cohort (APC) model in the maximum likelihood framework and the Bayesian APC model integrated nested Laplace approximations (INLAs) were further applied to perform sensitivity analysis. In 2019, air pollution accounted for 11.62% of death and 0.84% of DALY worldwide. The corresponding age-standardized rate was 85.62 (95% uncertainty interval (UI): 75.71, 96.07) and 2791.08 (95% UI: 2468.81, 3141.39) per 100,000 population. From 1990 to 2019, the number of death attributable to air pollution remained stable, and the number of DALY exhibited a downward trend. The corresponding age-standardized rates both declined. In some countries with larger population densities, higher proportions of elders, and lower proportions of females, the disease burden attributable to air pollution was lower. The predicted results showed that the number of air pollution-related death and DALY would increase. This study comprehensively assessed and predicted the air pollution-related disease burden worldwide. The results indicated that the disease burden would remain very serious in the future. Hence, some relevant policies should be developed to prevent and manage air pollution.
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Affiliation(s)
- Wan Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lanlan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hengchuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Ruyu Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Guixia Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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Cui Y, Yang W, Shuai J, Ma Y, Yan Y. High, low, and non-optimum temperatures exposure on road injuries in a changing climate: a secondary analysis based on the Global Burden of Disease Study 2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:11012-11024. [PMID: 36087177 DOI: 10.1007/s11356-022-22903-2] [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: 06/24/2022] [Accepted: 09/02/2022] [Indexed: 06/15/2023]
Abstract
Global warming in the twenty-first century has gradually made high temperatures a major threat to the global population. Health problems associated with extreme temperatures have become a growing public health concern worldwide. This study aimed to estimate road injuries stratified by sex, age, geographic location, and sociodemographic status attribute to high, low, and non-optimal temperatures in 21 regional and global. We used the Global Burden of Disease (GBD) Study Results Tool to examine the age-standardized death rates (ASDR) and disability-adjusted life years (DALYs) due to road injuries in 2019 by Joinpoint regression. In addition, we reported high, low, and non-optimal temperature exposures for road injuries across different groups by gender, age, region, and disease. Moreover, we examined temporal trends in the burden of road disease caused by high, low, and non-optimum temperatures from 1990 to 2019. Trend analyzes were conducted for five sociodemographic index (SDI) regions. Globally, both ASDR and DALY declined from 1990 to 2019, with average annual percent change (AAPC) values of - 1.3% and - 1.2%, respectively. In 2019, the indicators (death and DALYs) steadily declined, while SDI quintile increased in most regions. Road injuries related to death and DALYs rate attributed to high temperatures were 0.17 and 8.50, respectively, in 2019. From 1990 to 2019, DALYs for road injuries caused by low temperatures showed the most significant upward trend in most regions, especially in low-latitude countries. This study provides a comprehensive understanding of the road injury burden caused by high, low, and non-optimum temperatures, which remains high in regions with low SDI. Therefore, special attention should be paid to road injuries in poor countries or in areas with extreme temperatures.
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Affiliation(s)
- Yiran Cui
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Wenyan Yang
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Jingliang Shuai
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Yulan Ma
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Yan Yan
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
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The burden of heatwave-related preterm births and associated human capital losses in China. Nat Commun 2022; 13:7565. [PMID: 36513644 PMCID: PMC9747907 DOI: 10.1038/s41467-022-35008-8] [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: 03/30/2022] [Accepted: 11/15/2022] [Indexed: 12/15/2022] Open
Abstract
Frequent heatwaves under global warming can increase the risk of preterm birth (PTB), which in turn will affect physical health and human potential over the life course. However, what remains unknown is the extent to which anthropogenic climate change has contributed to such burdens. We combine health impact and economic assessment methods to comprehensively evaluate the entire heatwave-related PTB burden in dimensions of health, human capital and economic costs. Here, we show that during 2010-2020, an average of 13,262 (95%CI 6,962-18,802) PTBs occurred annually due to heatwave exposure in China. In simulated scenarios, 25.8% (95%CI 17.1%-34.5%) of heatwave-related PTBs per year on average can be attributed to anthropogenic climate change, which further result in substantial human capital losses, estimated at over $1 billion costs. Our findings will provide additional impetus for introducing more stringent climate mitigation policies and also call for more sufficient adaptations to reduce heatwave detriments to newborn.
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24
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Jacobsen AP, Khiew YC, Duffy E, O'Connell J, Brown E, Auwaerter PG, Blumenthal RS, Schwartz BS, McEvoy JW. Climate change and the prevention of cardiovascular disease. Am J Prev Cardiol 2022; 12:100391. [PMID: 36164332 PMCID: PMC9508346 DOI: 10.1016/j.ajpc.2022.100391] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/27/2022] [Accepted: 09/10/2022] [Indexed: 11/26/2022] Open
Abstract
Climate change is a worsening global crisis that will continue negatively impacting population health and well-being unless adaptation and mitigation interventions are rapidly implemented. Climate change-related cardiovascular disease is mediated by air pollution, increased ambient temperatures, vector-borne disease and mental health disorders. Climate change-related cardiovascular disease can be modulated by climate change adaptation; however, this process could result in significant health inequity because persons and populations of lower socioeconomic status have fewer adaptation options. Clear scientific evidence for climate change and its impact on human health have not yet resulted in the national and international impetus and policies necessary to slow climate change. As respected members of society who regularly communicate scientific evidence to patients, clinicians are well-positioned to advocate on the importance of addressing climate change. This narrative review summarizes the links between climate change and cardiovascular health, proposes actionable items clinicians and other healthcare providers can execute both in their personal life and as an advocate of climate policies, and encourages communication of the health impacts of climate change when counseling patients. Our aim is to inspire the reader to invest more time in communicating the most crucial public health issue of the 21st century to their patients.
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Affiliation(s)
- Alan P. Jacobsen
- Ciccarone Center for the Prevention of Cardiovascular Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Yii Chun Khiew
- Division of Gastroenterology, Department of Gastroenterology, MedStar Georgetown University Hospital, Washington, DC, United States
| | - Eamon Duffy
- Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - James O'Connell
- Department of Public Health, Health Service Executive West, Galway, Ireland
| | - Evans Brown
- Department of Medicine, Division of Hospital Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Paul G. Auwaerter
- Sherrilyn and Ken Fisher Center for Environmental Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Roger S. Blumenthal
- Ciccarone Center for the Prevention of Cardiovascular Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Brian S. Schwartz
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - John William McEvoy
- Ciccarone Center for the Prevention of Cardiovascular Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- National Institute for Prevention and Cardiovascular Health, National University of Ireland Galway, Galway, Ireland
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25
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Chung CY, Yang J, Yang X, He J. Mathematical modeling in the health risk assessment of air pollution-related disease burden in China: A review. Front Public Health 2022; 10:1060153. [PMID: 36504933 PMCID: PMC9727382 DOI: 10.3389/fpubh.2022.1060153] [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: 10/03/2022] [Accepted: 11/08/2022] [Indexed: 11/24/2022] Open
Abstract
This review paper covers an overview of air pollution-related disease burden in China and a literature review on the previous studies which have recently adopted a mathematical modeling approach to demonstrate the relative risk (RR) of air pollution-related disease burden. The associations between air pollution and disease burden have been explored in the previous studies. Therefore, it is necessary to quantify the impact of long-term exposure to ambient air pollution by using a suitable mathematical model. The most common way of estimating the health risk attributable to air pollution exposure in a population is by employing a concentration-response function, which is often based on the estimation of a RR model. As most of the regions in China are experiencing rapid urbanization and industrialization, the resulting high ambient air pollution is influencing more residents, which also increases the disease burden in the population. The existing RR models, including the integrated exposure-response (IER) model and the global exposure mortality model (GEMM), are critically reviewed to provide an understanding of the current status of mathematical modeling in the air pollution-related health risk assessment. The performances of different RR models in the mortality estimation of disease are also studied and compared in this paper. Furthermore, the limitations of the existing RR models are pointed out and discussed. Consequently, there is a need to develop a more suitable RR model to accurately estimate the disease burden attributable to air pollution in China, which contributes to one of the key steps in the health risk assessment. By using an updated RR model in the health risk assessment, the estimated mortality risk due to the impacts of environment such as air pollution and seasonal temperature variation could provide a more realistic and reliable information regarding the mortality data of the region, which would help the regional and national policymakers for intensifying their efforts on the improvement of air quality and the management of air pollution-related disease burden.
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Affiliation(s)
- Chee Yap Chung
- Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China,*Correspondence: Chee Yap Chung
| | - Jie Yang
- Department of Mathematics, University of Hull, Hull, United Kingdom
| | - Xiaogang Yang
- Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China,Xiaogang Yang
| | - Jun He
- Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China
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26
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Dean CB, El‐Shaarawi AH, Esterby SR, Mills Flemming J, Routledge RD, Taylor SW, Woolford DG, Zidek JV, Zwiers FW. Canadian contributions to environmetrics. CAN J STAT 2022. [DOI: 10.1002/cjs.11743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Charmaine B. Dean
- Department of Statistics and Actuarial Science University of Waterloo 200 University Avenue West, Waterloo Ontario Canada N2L 3G1
| | - Abdel H. El‐Shaarawi
- Department of Statistics, Faculty of Economics and Political Science Cairo University Cairo Egypt
| | - Sylvia R. Esterby
- Department of Computer Science Mathematics, Physics and Statistics, University of British Columbia, Okanagan Campus 3187, University Way, Kelowna British Columbia Canada V1V 1V7
| | - Joanna Mills Flemming
- Department of Mathematics and Statistics Dalhousie University 6316 Coburg Road ‐ PO BOX 15000, Halifax Nova Scotia Canada B3H 4R2
| | - Richard D. Routledge
- Department of Statistics and Actuarial Science Simon Fraser University 8888 University Drive, Burnaby British Columbia Canada V5A 1S6
| | - Stephen W. Taylor
- Pacific Forestry Centre 506 Burnside Road West, Victoria British Columbia Canada V8Z 1M5
| | - Douglas G. Woolford
- Department of Statistical & Actuarial Sciences The University of Western Ontario 1151 Richmond Street, London Ontario Canada N6A 5B7
| | - James V. Zidek
- Department of Statistics University of British Columbia 2207 Main Mall, Vancouver British Columbia Canada V6T 1Z4
| | - Francis W. Zwiers
- Pacific Climate Impacts Consortium (PCIC) University of Victoria University House 1, PO Box 1700 Stn CSC, Victoria British Columbia Canada V8W 2Y2
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27
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Li C, Managi S. Global malaria infection risk from climate change. ENVIRONMENTAL RESEARCH 2022; 214:114028. [PMID: 35940231 DOI: 10.1016/j.envres.2022.114028] [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: 05/22/2022] [Revised: 07/19/2022] [Accepted: 07/30/2022] [Indexed: 06/15/2023]
Abstract
As a long-standing public health issue, malaria still severely affects many parts of the world, especially Africa. With greenhouse gas emissions, temperatures continue to rise. Based on diverse shared socioeconomic pathways (SSPs), future temperatures can be estimated. However, the impacts of climate change on malaria infection rates in all epidemic regions are unknown. Here, we estimate the differences in global malaria infection rates predicted under different SSPs during several periods as well as malaria infection case changes (MICCs) resulting from those differences. Our results indicate that the global MICCs resulting from the conversion from SSP1-2.6 to SSP2-4.5, to SSP3-7.0, and to SSP5-8.5 are 6.506 (with a 95% uncertainty interval [UI] of 6.150-6.861) million, 3.655 (3.416-3.894) million, and 2.823 (2.635-3.012) million, respectively, from 2021 to 2040; these values represent increases of 2.699%, 1.517%, and 1.171%, respectively, compared to the 241 million infection cases reported in 2020. Temperatures increases will adversely affect malaria the most in Africa during the 2021-2040 period. From 2081 to 2100, the MICCs obtained for the three scenario shifts listed above are -79.109 (-83.626 to -74.591) million, -238.337 (-251.920 to -0.141) million, and -162.692 (-174.628 to -150.757) million, corresponding to increases of -32.825%, -98.895%, and -67.507%, respectively. Climate change will increase the danger and risks associated with malaria in the most vulnerable regions in the near term, thus aggravating the difficulty of eliminating malaria. Reducing GHG emissions is a potential pathway to protecting people from malaria.
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Affiliation(s)
- Chao Li
- Urban Institute, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
| | - Shunsuke Managi
- Urban Institute, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan.
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28
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Di Ciaula A, Moshammer H, Lauriola P, Portincasa P. Environmental health, COVID-19, and the syndemic: internal medicine facing the challenge. Intern Emerg Med 2022; 17:2187-2198. [PMID: 36181580 PMCID: PMC9525944 DOI: 10.1007/s11739-022-03107-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/16/2022] [Indexed: 11/29/2022]
Abstract
Internists are experts in complexity, and the COVID-19 pandemic is disclosing complex and unexpected interactions between communicable and non-communicable diseases, environmental factors, and socio-economic disparities. The medicine of complexity cannot be limited to facing comorbidities and to the clinical management of multifaceted diseases. Evidence indicates how climate change, pollution, demographic unbalance, and inequalities can affect the spreading and outcomes of COVID-19 in vulnerable communities. These elements cannot be neglected, and a wide view of public health aspects by a "one-health" approach is strongly and urgently recommended. According to World Health Organization, 35% of infectious diseases involving the lower respiratory tract depend on environmental factors, and infections from SARS-Cov-2 is not an exception. Furthermore, environmental pollution generates a large burden of non-communicable diseases and disabilities, increasing the individual vulnerability to COVID-19 and the chance for the resilience of large communities worldwide. In this field, the awareness of internists must increase, as privileged healthcare providers. They need to gain a comprehensive knowledge of elements characterizing COVID-19 as part of a syndemic. This is the case when pandemic events hit vulnerable populations suffering from the increasing burden of chronic diseases, disabilities, and social and economic inequalities. Mastering the interplay of such events requires a change in overall strategy, to adequately manage not only the SARS-CoV-2 infection but also the growing burden of non-communicable diseases by a "one health" approach. In this context, experts in internal medicine have the knowledge and skills to drive this change.
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Affiliation(s)
- Agostino Di Ciaula
- Clinica Medica “A. Murri”, Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
- International Society of Doctors for Environment (ISDE), Geneva, Switzerland
| | - Hanns Moshammer
- International Society of Doctors for Environment (ISDE), Geneva, Switzerland
- Department of Environmental Health, Center for Public Health, Medical University Vienna, 1090 Vienna, Austria
- Department of Hygiene, Medical University of Karakalpakstan, Nukus, Uzbekistan 230100
| | - Paolo Lauriola
- International Society of Doctors for Environment (ISDE), Geneva, Switzerland
| | - Piero Portincasa
- Clinica Medica “A. Murri”, Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
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29
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Du Y, Jing M, Lu C, Zong J, Wang L, Wang Q. Global Population Exposure to Extreme Temperatures and Disease Burden. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13288. [PMID: 36293869 PMCID: PMC9603138 DOI: 10.3390/ijerph192013288] [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: 09/22/2022] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
The frequency and duration of extreme temperature events continues to increase worldwide. However, the scale of population exposure and its quantitative relationship with health risks remains unknown on a global scale, limiting our ability to identify policy priorities in response to climate change. Based on data from 171 countries between 2010 and 2019, this study estimated the exposure of vulnerable populations to extreme temperatures, and their contemporary and lag associations with disease burden attributed to non-optimal temperatures. Fixed-effects models and dynamic panel models were applied. Increased vulnerable population exposure to extreme temperatures had adverse contemporary effects on the burden of disease attributed to non-optimal temperature. Health risks stemming from extreme cold could accumulate to a greater extent, exhibiting a larger lag effect. Population exposure to extreme cold was mainly distributed in high-income countries, while extreme heat occurred more in low-income and middle-income countries. However, the association between population exposure to extreme cold and burden of disease was much stronger in low-income and middle-income countries than in high-income countries, whereas the effect size of population exposure to extreme heat was similar. Our study highlighted that differential strategies should be determined and implemented according to the characteristics in different countries.
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Affiliation(s)
- Yajie Du
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
| | - Ming Jing
- School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Science), Jinan 250353, China
| | - Chunyu Lu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
| | - Jingru Zong
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
| | - Lingli Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
| | - Qing Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
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30
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Jiang L, Li Y, Cai Y, Liu K, Liu C, Zhang J. Probabilistic health risk assessment and monetization based on benzene series exposure in newly renovated teaching buildings. ENVIRONMENT INTERNATIONAL 2022; 163:107194. [PMID: 35339921 DOI: 10.1016/j.envint.2022.107194] [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: 12/16/2021] [Revised: 02/16/2022] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
To meet the needs of the rapid development of education, there have been growing investments in the issue of university infrastructures. However, few studies have paid attention to the assessment and monetization of health risks in newly renovated teaching buildings. In this study, concentrations of the benzene series (BTEX) group were measured in five areas of three newly renovated teaching buildings. A total of 135 BTEX samples were collected using passive diffusion monitors and analyzed by GC-FID. Human health risk assessments were conducted by using probabilistic methods for four types of population exposure to BTEX. The results showed that the cancer risk of benzene accounted for most of the total in each group. There was over 90% probability of excess cancer risks in the areas within the tested buildings; and the non-cancer risks were all within the acceptable level. The health risks of men were greater than those of women, and those of teachers were higher than those of students. The model calculation results of Disability-Adjusted Life Year (DALY) and Willingness to Pay (WTP) indicated that the average price that society was willing to pay to offset the health damage caused in these newly renovated teaching buildings was 381.35 yuan/year. For the first time, this study highlights the health risks of newly built teaching buildings in universities, points out the urgent need to improve the control of BTEX sources in this type of indoor environment; moreover, it provides theoretical support for the society and occupational protection departments to compensate for the health damage to professionals.
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Affiliation(s)
- Luping Jiang
- School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China; Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Yanan Li
- School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China; Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Ying Cai
- School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China; Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Kangli Liu
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Chaoyang Liu
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430073, China.
| | - Jingdong Zhang
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China.
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31
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Di Ciaula A, Krawczyk M, Filipiak KJ, Geier A, Bonfrate L, Portincasa P. Noncommunicable diseases, climate change and iniquities: What COVID-19 has taught us about syndemic. Eur J Clin Invest 2021; 51:e13682. [PMID: 34551123 PMCID: PMC8646618 DOI: 10.1111/eci.13682] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/18/2021] [Accepted: 09/19/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND COVID-19 is generating clinical challenges, lifestyle changes, economic consequences. The pandemic imposes to familiarize with concepts as prevention, vulnerability and resilience. METHODS We analysed and reviewed the most relevant papers in the MEDLINE database on syndemic, noncommunicable diseases, pandemic, climate changes, pollution, resilience, vulnerability, health costs, COVID-19. RESULTS We discuss that comprehensive strategies must face multifactorial consequences since the pandemic becomes syndemic due to interactions with noncommunicable diseases, climate changes and iniquities. The lockdown experience, on the other hand, demonstrates that it is rapidly possible to reverse epidemiologic trends and to reduce pollution. The worst outcome is evident in eight highly industrialized nations, where 12% of the world population experienced about one-third of all COVID-19-deaths worldwide. Thus, a great economic power has not been fully protective, and a change of policy is obviously needed to avoid irreversible consequences. CONCLUSIONS We are accumulating unhealthy populations living in unhealthy environments and generating unhealthy offspring. The winning policy should tackle structural inequities through a syndemic approach, to protect vulnerable populations from present and future harms.
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Affiliation(s)
- Agostino Di Ciaula
- Department of Biomedical Sciences and Human OncologyClinica Medica ‘A. Murri’University of Bari ‘Aldo Moro’ Medical SchoolBariItaly
| | - Marcin Krawczyk
- Department of Medicine IISaarland University Medical CenterSaarland UniversityHomburgGermany
- Laboratory of Metabolic Liver DiseasesDepartment of General, Transplant and Liver SurgeryCentre for Preclinical ResearchMedical University of WarsawWarsawPoland
| | | | - Andreas Geier
- Division of HepatologyDepartment of Internal Medicine IIUniversity Hospital WürzburgWürzburgGermany
| | - Leonilde Bonfrate
- Department of Biomedical Sciences and Human OncologyClinica Medica ‘A. Murri’University of Bari ‘Aldo Moro’ Medical SchoolBariItaly
| | - Piero Portincasa
- Department of Biomedical Sciences and Human OncologyClinica Medica ‘A. Murri’University of Bari ‘Aldo Moro’ Medical SchoolBariItaly
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32
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Health Risks to the Russian Population from Temperature Extremes at the Beginning of the XXI Century. ATMOSPHERE 2021. [DOI: 10.3390/atmos12101331] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Climate change and climate-sensitive disasters caused by climatic hazards have a significant and increasing direct and indirect impact on human health. Due to its vast area, complex geographical environment and various climatic conditions, Russia is one of the countries that suffers significantly from frequent climate hazards. This paper provides information about temperature extremes in Russia in the beginning of the 21st century, and their impact on human health. A literature search was conducted using the electronic databases Web of Science, Science Direct, Scopus, and e-Library, focusing on peer-reviewed journal articles published in English and in Russian from 2000 to 2021. The results are summarized in 16 studies, which are divided into location-based groups, including Moscow, Saint Petersburg and other large cities located in various climatic zones: in the Arctic, in Siberia and in the southern regions, in ultra-continental and monsoon climate. Heat waves in cities with a temperate continental climate lead to a significant increase in all-cause mortality than cold waves, compared with cities in other climatic zones. At the same time, in northern cities, in contrast to the southern regions and central Siberia, the influence of cold waves is more pronounced on mortality than heat waves. To adequately protect the population from the effects of temperature waves and to carry out preventive measures, it is necessary to know specific threshold values of air temperature in each city.
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