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Song J, Gasparrini A, Wei D, Lu Y, Hu K, Fischer TB, Nieuwenhuijsen M. Do greenspaces really reduce heat health impacts? Evidence for different vegetation types and distance-based greenspace exposure. ENVIRONMENT INTERNATIONAL 2024; 191:108950. [PMID: 39190977 DOI: 10.1016/j.envint.2024.108950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/17/2024] [Accepted: 08/12/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND While vegetation type, population density and proximity to greenspaces have been linked to human health, what type and location of greenspace matter most have remained unclear. In this context, there are question marks over investment-style metrics. OBJECTIVES This paper aims at establishing what vegetation type may matter most in modifying heat-mortality associations, and what the optimal buffer distances of total and specific types of greenspace exposure associated with reduced heat-related mortality risks are. METHODS We conducted small-area analyses using daily mortality data for 286 Territory Planning Units (TPUs) across Hong Kong and 1 × 1 km gridded air temperature data for the summer months (2005-2018). Using a case time series design, we examined effect modifications of total and specific types of greenspaces, as well as population-weighted exposure at varying buffer distances (200-4000 m). We tested the significance of effect modifications by comparing relative risks (RRs) between the lowest and highest quartiles of each greenspace exposure metric; and explored the strength of effect modifications by calculating the ratio of RRs. RESULTS Forests, unlike grasslands, showed significant effect modifications on heat-mortality associations, with RRs rising from 0.98 (95 %CI: 0.92,1.05) to 1.06 (1.03, 1.10) for the highest to lowest quartiles (p-value = 0.037) The optimal distances associated with the most apparent effects were around 1 km for population-weighted exposure, with the ratio of RRs being 1.424 (1.038,1.954) for NDVI, 1.191 (1.004,1.413) for total greenspace, and 1.227 (1.024,1.470) for forests. A marked difference was observed in terms of the paired area-level and optimal distance-based exposure to total greenspace and forests under extreme heat (p-values < 0.05). DISCUSSION Our findings suggest that greenspace, particularly nearby forests, may significantly mitigate heat-related mortality risks.
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Affiliation(s)
- Jinglu Song
- Department of Urban Planning and Design, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
| | - Antonio Gasparrini
- Department of Public Health, Environment and Society, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK.
| | - Di Wei
- Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China; School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China; Hubei Engineering and Technology Research Center of Urbanization, Wuhan, China.
| | - Yi Lu
- Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China.
| | - Kejia Hu
- Institute of Big Data in Health Science, School of Public Health, Zhejiang University, Zijingang Campus, Hangzhou 310058, China.
| | - Thomas B Fischer
- Environmental Assessment and Management Research Centre, School of Environmental Sciences, University of Liverpool, Liverpool, UK; Research Unit for Environmental Sciences and Management, Faculty of Natural and Agricultural Sciences, North West University, Potchefstroom, South Africa.
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, Barcelona 08003, Spain; CIBER Epidemioloǵıa y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, Madrid 28029, Spain.
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Thiamwong L, Kim D, Emrich CT. Health Disparities and Maladaptive Behavior in Response to Extreme Heat: Impacts on Mental Health Among Older Adults. J Psychosoc Nurs Ment Health Serv 2024; 62:2-4. [PMID: 39110904 PMCID: PMC11348279 DOI: 10.3928/02793695-20240711-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Affiliation(s)
- Ladda Thiamwong
- College of Nursing and Disability Aging Technology Cluster University of Central Florida Orlando, Florida
| | - Dahee Kim
- College of Nursing University of Central Florida Orlando, Florida
| | - Christopher T Emrich
- School of Public Administration, College of Community Innovation and Education, and National Center for Integrated Coastal Research University of Central Florida Orlando, Florida
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Zhou L, Wei Y, Ge Y, Li Y, Liu K, Gao Y, Song B, Li Y, Zhang D, Bo Y, Zhang J, Xu Y, Duan X. Global, regional, and national burden of stroke attributable to extreme low temperatures, 1990-2019: A global analysis. Int J Stroke 2024; 19:676-685. [PMID: 38425241 DOI: 10.1177/17474930241238636] [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] [Indexed: 03/02/2024]
Abstract
BACKGROUND Extreme ambient temperatures have been linked to increased risks of stroke morbidity and mortality. However, global estimates of the burden of stroke due to extreme low temperatures are not well-defined. AIMS This study aimed to determine the global burden of stroke due to extreme low temperatures and its spatiotemporal trend from 1990 to 2019. METHODS Based on the Global Burden of Disease Study 2019, we obtained global, regional, and national data on deaths, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized rate of DALYs (ASDR) of stroke attributed to extreme low temperatures, further stratified by age, sex, and sociodemographic index (SDI). RESULTS Globally, in 2019, an estimated 474,000 stroke deaths with the corresponding ASMR (6.2 (95% uncertainty interval (UI): 4.6-7.9)) and ASDR (103.9 (95% UI: 77.0-134.5)) per 100,000 population, were attributable to extreme low temperatures. The most significant burden was observed in Central Asia, followed by Eastern Europe and East Asia. From 1990 to 2019, the global burden of stroke and its subtypes (ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage) attributable to extreme low temperatures exhibited a decrease in both ASMR and ASDR. Significant decreases in stroke burden occurred in the high-SDI regions, high-income Asia Pacific, and subarachnoid hemorrhage cases. Moreover, the ASMR and ASDR increased with age and were higher in males than females. CONCLUSION The global stroke burden due to extreme low temperatures remains high despite a decreasing trend over the past three decades. The stroke burden due to extreme low temperatures was more notable for Central Asia, older people, and the male sex.
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Affiliation(s)
- Lue Zhou
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yujie Wei
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yahao Ge
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yapeng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kai Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bo Song
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yusheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Daping Zhang
- Department of Cardiology, Huaihe Hospital of Henan University, Kaifeng, China
| | - Yacong Bo
- Department of Nutrition, College of Public Health, Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoran Duan
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Matte T, Lane K, Tipaldo JF, Barnes J, Knowlton K, Torem E, Anand G, Yoon L, Marcotullio P, Balk D, Constible J, Elszasz H, Ito K, Jessel S, Limaye V, Parks R, Rutigliano M, Sorenson C, Yuan A. NPCC4: Climate change and New York City's health risk. Ann N Y Acad Sci 2024. [PMID: 38922909 DOI: 10.1111/nyas.15115] [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: 09/18/2023] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 06/28/2024]
Abstract
This chapter of the New York City Panel on Climate Change 4 (NPCC4) report considers climate health risks, vulnerabilities, and resilience strategies in New York City's unique urban context. It updates evidence since the last health assessment in 2015 as part of NPCC2 and addresses climate health risks and vulnerabilities that have emerged as especially salient to NYC since 2015. Climate health risks from heat and flooding are emphasized. In addition, other climate-sensitive exposures harmful to human health are considered, including outdoor and indoor air pollution, including aeroallergens; insect vectors of human illness; waterborne infectious and chemical contaminants; and compounding of climate health risks with other public health emergencies, such as the COVID-19 pandemic. Evidence-informed strategies for reducing future climate risks to health are considered.
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Affiliation(s)
- Thomas Matte
- Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Kathryn Lane
- New York City Department of Health and Mental Hygiene, New York, New York, USA
| | - Jenna F Tipaldo
- CUNY Graduate School of Public Health and Health Policy and CUNY Institute for Demographic Research, New York, New York, USA
| | - Janice Barnes
- Climate Adaptation Partners, New York, New York, USA
| | - Kim Knowlton
- Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Emily Torem
- New York City Department of Health and Mental Hygiene, New York, New York, USA
| | - Gowri Anand
- City of New York, Department of Transportation, New York, New York, USA
| | - Liv Yoon
- School of Kinesiology, The University of British Columbia, Vancouver, Canada
| | - Peter Marcotullio
- Department of Geography and Environmental Science, Hunter College, CUNY, New York, New York, USA
| | - Deborah Balk
- Marxe School of Public and International Affairs, Baruch College and also CUNY Institute for Demographic Research, New York, New York, USA
| | | | - Hayley Elszasz
- City of New York, Mayors Office of Climate and Environmental Justice, New York, New York, USA
| | - Kazuhiko Ito
- New York City Department of Health and Mental Hygiene, New York, New York, USA
| | - Sonal Jessel
- WE ACT for Environmental Justice, New York, New York, USA
| | - Vijay Limaye
- Natural Resources Defense Council, New York, New York, USA
| | - Robbie Parks
- Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Mallory Rutigliano
- New York City Mayor's Office of Management and Budget, New York, New York, USA
| | - Cecilia Sorenson
- Mailman School of Public Health, Columbia University, New York, New York, USA
- Global Consortium on Climate and Health Education, Columbia University, New York, New York, USA
- Department of Emergency Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Ariel Yuan
- New York City Department of Health and Mental Hygiene, New York, New York, USA
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Hundessa S, Huang W, Zhao Q, Wu Y, Wen B, Alahmad B, Armstrong B, Gasparrini A, Sera F, Tong S, Madureira J, Kyselý J, Schwartz J, Vicedo-Cabrera AM, Hales S, Johnson A, Li S, Guo Y. Global and Regional Cardiovascular Mortality Attributable to Nonoptimal Temperatures Over Time. J Am Coll Cardiol 2024; 83:2276-2287. [PMID: 38839202 DOI: 10.1016/j.jacc.2024.03.425] [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: 03/04/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND The association between nonoptimal temperatures and cardiovascular mortality risk is recognized. However, a comprehensive global assessment of this burden is lacking. OBJECTIVES The goal of this study was to assess global cardiovascular mortality burden attributable to nonoptimal temperatures and investigate spatiotemporal trends. METHODS Using daily cardiovascular deaths and temperature data from 32 countries, a 3-stage analytical approach was applied. First, location-specific temperature-mortality associations were estimated, considering nonlinearity and delayed effects. Second, a multivariate meta-regression model was developed between location-specific effect estimates and 5 meta-predictors. Third, cardiovascular deaths associated with nonoptimal, cold, and hot temperatures for each global grid (55 km × 55 km resolution) were estimated, and temporal trends from 2000 to 2019 were explored. RESULTS Globally, 1,801,513 (95% empirical CI: 1,526,632-2,202,831) annual cardiovascular deaths were associated with nonoptimal temperatures, constituting 8.86% (95% empirical CI: 7.51%-12.32%) of total cardiovascular mortality corresponding to 26 deaths per 100,000 population. Cold-related deaths accounted for 8.20% (95% empirical CI: 6.74%-11.57%), whereas heat-related deaths accounted for 0.66% (95% empirical CI: 0.49%-0.98%). The mortality burden varied significantly across regions, with the highest excess mortality rates observed in Central Asia and Eastern Europe. From 2000 to 2019, cold-related excess death ratios decreased, while heat-related ratios increased, resulting in an overall decline in temperature-related deaths. Southeastern Asia, Sub-Saharan Africa, and Oceania observed the greatest reduction, while Southern Asia experienced an increase. The Americas and several regions in Asia and Europe displayed fluctuating temporal patterns. CONCLUSIONS Nonoptimal temperatures substantially contribute to cardiovascular mortality, with heterogeneous spatiotemporal patterns. Effective mitigation and adaptation strategies are crucial, especially given the increasing heat-related cardiovascular deaths amid climate change.
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Affiliation(s)
- Samuel Hundessa
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Wenzhong Huang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yao Wu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Bo Wen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Barrak Alahmad
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Ben Armstrong
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Antonio Gasparrini
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Francesco Sera
- Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence, Florence, Italy
| | - Shilu Tong
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Joana Madureira
- Environmental Health Department, Instituto Nacional de Saúde Dr Ricardo Jorge, Porto, Portugal; EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Jan Kyselý
- Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Ana Maria Vicedo-Cabrera
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Simon Hales
- Department of Public Health, University of Otago, Wellington, New Zealand
| | - Amanda Johnson
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
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White AR. The firestorm within: A narrative review of extreme heat and wildfire smoke effects on brain health. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 922:171239. [PMID: 38417511 DOI: 10.1016/j.scitotenv.2024.171239] [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: 11/20/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/01/2024]
Abstract
Climate change is generating increased heatwaves and wildfires across much of the world. With these escalating environmental changes comes greater impacts on human health leading to increased numbers of people suffering from heat- and wildfire smoke-associated respiratory and cardiovascular impairment. One area of health impact of climate change that has received far less attention is the effects of extreme heat and wildfire smoke exposure on human brain health. As elevated temperatures, and wildfire-associated smoke, are increasingly experienced simultaneously over summer periods, understanding this combined impact is critical to management of human health especially in the elderly, and people with dementia, and other neurological disorders. Both extreme heat and wildfire smoke air pollution (especially particulate matter, PM) induce neuroinflammatory and cerebrovascular effects, oxidative stress, and cognitive impairment, however the combined effect of these impacts are not well understood. In this narrative review, a comprehensive examination of extreme heat and wildfire smoke impact on human brain health is presented, with a focus on how these factors contribute to cognitive impairment, and dementia, one of the leading health issues today. Also discussed is the potential impact of combined heat and wildfire smoke on brain health, and where future efforts should be applied to help advance knowledge in this rapidly growing and critical field of health research.
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Affiliation(s)
- Anthony R White
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Herston, Queensland 4006, Australia; A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, QLD, Australia.
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7
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Hampo CC, Schinasi LH, Hoque S. Surviving indoor heat stress in United States: A comprehensive review exploring the impact of overheating on the thermal comfort, health, and social economic factors of occupants. Heliyon 2024; 10:e25801. [PMID: 38371979 PMCID: PMC10873744 DOI: 10.1016/j.heliyon.2024.e25801] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 01/23/2024] [Accepted: 02/02/2024] [Indexed: 02/20/2024] Open
Abstract
In the face of escalating global climate change and the increasing frequency of extreme heat events, the mitigation of building overheating has become an urgent priority. This comprehensive review converges insights from building science and public health domains to offer a thorough understanding of the multifaceted impacts of indoor overheating on occupants. The paper addresses a significant research gap by offering a holistic exploration of indoor overheating of residential buildings and its consequences, with a specific focus on the United States, an economically diverse nation that has been underrepresented in the literature. The review illuminates the effects of overheating on thermal comfort, health, and socio-economic aspects within the built environment. It emphasizes associated repercussions, including heightened cooling energy consumption, increased peak electricity demand, and elevated vulnerability, leading to exacerbated heat-related mortality and morbidity rates, especially among disadvantaged groups. The study concludes that vulnerabilities to these impacts are intricately tied to regional climatic conditions, highlighting the inadequacy of a one-size-fits-all approach. Tailored interventions for each climate zone are deemed necessary, considering the consistent occurrence of indoor temperatures surpassing outdoor levels, known as superheating, which poses distinct challenges. The research underscores the urgency of addressing indoor overheating as a critical facet of public health, acknowledging direct socioeconomic repercussions. It advocates for further research to inform comprehensive policies that safeguard public health across diverse indoor environments.
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Affiliation(s)
- Chima Cyril Hampo
- Department of Civil, Architectural, and Environmental Engineering, Drexel University, USA
| | - Leah H. Schinasi
- Department of Environmental and Occupational Health, Drexel Dornsife School of Public Health, Philadelphia, USA
| | - Simi Hoque
- Department of Civil, Architectural, and Environmental Engineering, Drexel University, USA
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Suulamo U, Remes H, Tarkiainen L, Murphy M, Martikainen P. Excess winter mortality in Finland, 1971-2019: a register-based study on long-term trends and effect modification by sociodemographic characteristics and pre-existing health conditions. BMJ Open 2024; 14:e079471. [PMID: 38309756 PMCID: PMC10840061 DOI: 10.1136/bmjopen-2023-079471] [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: 09/01/2023] [Accepted: 01/12/2024] [Indexed: 02/05/2024] Open
Abstract
OBJECTIVES Excess winter mortality is a well-established phenomenon across the developed world. However, whether individual-level factors increase vulnerability to the effects of winter remains inadequately examined. Our aim was to assess long-term trends in excess winter mortality in Finland and estimate the modifying effect of sociodemographic and health characteristics on the risk of winter death. DESIGN Nationwide register study. SETTING Finland. PARTICIPANTS Population aged 60 years and over, resident in Finland, 1971-2019. OUTCOME MEASURES Age-adjusted winter and non-winter death rates, and winter-to-non-winter rate ratios and relative risks (multiplicative interaction effects between winter and modifying characteristics). RESULTS We found a decreasing trend in the relative winter excess mortality over five decades and a drop in the series around 2000. During 2000-2019, winter mortality rates for men and women were 11% and 14% higher than expected based on non-winter rates. The relative risk of winter death increased with age but did not vary by income. Compared with those living with at least one other person, individuals in institutions had a higher relative risk (1.07, 95% CI 1.05 to 1.08). Most pre-existing health conditions did not predict winter death, but persons with dementia emerged at greater relative risk (1.06, 95% CI 1.04 to 1.07). CONCLUSIONS Although winter mortality seems to affect frail people more strongly-those of advanced age, living in institutions and with dementia-there is an increased risk even beyond the more vulnerable groups. Protection of high-risk groups should be complemented with population-level preventive measures.
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Affiliation(s)
- Ulla Suulamo
- Helsinki Institute for Demography and Population Health, University of Helsinki Faculty of Social Sciences, Helsinki, Finland
- Max Planck - University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
- International Max Planck Research School for Population, Health and Data Science, Rostock, Germany
| | - Hanna Remes
- Helsinki Institute for Demography and Population Health, University of Helsinki Faculty of Social Sciences, Helsinki, Finland
- Max Planck - University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
| | - Lasse Tarkiainen
- Helsinki Institute for Demography and Population Health, University of Helsinki Faculty of Social Sciences, Helsinki, Finland
- Max Planck - University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
| | - Michael Murphy
- The London School of Economics and Political Science Department of Social Policy, London, UK
| | - Pekka Martikainen
- Helsinki Institute for Demography and Population Health, University of Helsinki Faculty of Social Sciences, Helsinki, Finland
- Max Planck - University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
- Max-Planck-Institute for Demographic Research, Rostock, Germany
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Liu L, Fan Y, Wang Z, Liu F, Wang X, Fu J, Li Z, Sun H, Du Y, Yang J, Fan X, Liu B, Zhang L. Disparity in risk factors of ischemic stroke in four coastal-area hospitals in China. Heliyon 2024; 10:e24745. [PMID: 38298663 PMCID: PMC10828064 DOI: 10.1016/j.heliyon.2024.e24745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 12/08/2023] [Accepted: 01/12/2024] [Indexed: 02/02/2024] Open
Abstract
Background Currently, ischemic stroke is the leading cause of death in China. To compare regional differences of ischemic stroke, we analyzed the clinical characteristics of patients with ischemic stroke in four regionally representative hospitals in China. Methods We conducted a retrospective study at four tertiary hospitals in east China, with regionally representative patients. The associated factors include hypertension, diabetes mellitus, coronary heart disease, hyperlipidemia and a combination of these factors. The standardized ratio (SR), estimated as the observed number divided by the expected number, computed as the sum of predicted probabilities from a multivariable logistic regression model derived using data from all other cities, was used to compare to average levels. Results A total of 34,707 patients were included. The number of patients increased with age in all four hospitals and patients were predominantly male. The number of ischemic stroke cases with related factors increased with age, except for hyperlipidemia. There was no significant gender difference when multiple related factors existed simultaneously. Coronary heart disease had a more significant impact on ischemic stroke in Qingdao Municipal Hospital and the First Hospital of Qinhuangdao, while hyperlipidemia had a significant influence on ischemic stroke in the First Hospital of Qinhuangdao. Conclusions At four hospitals in east China, with the increase of age, the risk factors associated with ischemic stroke increased, and the distribution of ischemic stroke-related factors showed regional differences.
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Affiliation(s)
- Luji Liu
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Yuhua Fan
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Zhaolu Wang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fei Liu
- Department of Orthopaedics, The First Hospital of Qin Huang Dao, Qinhuangdao, China
| | - Xin Wang
- Department of Neurology, The Qingdao Municipal Hospital, Qingdao, China
| | - Jinsheng Fu
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Zhenzhong Li
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Huilian Sun
- Department of Clinical Epidemiology and Evidence-Based Medicine, the Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yuanyuan Du
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Jie Yang
- Maternal-Infant Care Research Centre (MiCare), Mount Sinai Hospital, Toronto, ON, Canada
| | - Xiaoyan Fan
- School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Bo Liu
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Lihong Zhang
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
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10
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Kim AG, Park C, Tokavanich N, Sabanci R, Freel R, Hayes V, Thakur RK. Meteorological Influence on Atrial Fibrillation and Flutter: A Nationwide Observational Study in South Korea (2010-2022). Cureus 2023; 15:e46867. [PMID: 37954814 PMCID: PMC10638101 DOI: 10.7759/cureus.46867] [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] [Accepted: 10/11/2023] [Indexed: 11/14/2023] Open
Abstract
Background and rationale The impact of meteorological factors, including atmospheric temperature, humidity, and wind speed, on the incidence of atrial fibrillation and flutter (AF) has been the subject of several studies, but the findings have been inconsistent. Given the complex and multifaceted nature of this relationship, a larger-scale study was necessary to provide sufficient statistical power and elucidate potential associations between them. The aim of this study was, thus, to investigate the potential associations between meteorological factors and the incidence of AF. Methods The South Korean government provides open access to national health insurance and weather data for its citizens; the data was available from January 2010 to July 2022. The national health insurance data includes the monthly number of patients diagnosed with a specific condition, reflecting the incidence and prevalence of the condition. Pearson correlation analyses were performed using the statistical analysis software, SAS® OnDemand for Academics (SAS Institute Inc., Cary, North Carolina, United States), to examine the association between each month's national average climate data and the number of patients diagnosed with AF. Results The number of patients diagnosed with AF in the total population showed a statistically significant correlation only with average wind speed (correlation coefficient (r)=-0.42, 95%CI -0.55 to -0.28, p<0.001) and sunshine duration (r=0.27, 95%CI 0.12 to 0.41, p<0.001). Among females aged 20-24 years, there was a statistically significant association with other variables, including average temperature, precipitation, humidity, and atmospheric pressure (p<0.05). Diurnal temperature variation showed inconsistent associations across different age and sex groups. Conclusion The number of patients diagnosed with AF is negatively correlated with average wind speed and positively correlated with sunshine duration in the general population, particularly among the elderly. There was no significant association between the number of patients diagnosed with AF and average temperature, precipitation, or humidity, except for females aged 20-24 years, who exhibited a significant association with these variables. However, it is important to note that these correlations do not establish causality.
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Affiliation(s)
- Andrew G Kim
- Internal Medicine, Michigan State University, East Lansing, USA
| | - Chanjoo Park
- General Practice, Catholic Kwandong University, Gangneung, KOR
| | - Nithi Tokavanich
- Cardiac Electrophysiology, University of Michigan, Ann Arbor, USA
| | - Rand Sabanci
- Internal Medicine, Michigan State University, East Lansing, USA
| | - Rebeccah Freel
- Cardiac Electrophysiology, Sparrow Hospital, Lansing, USA
| | - Victoria Hayes
- Cardiac Electrophysiology, Sparrow Hospital, Lansing, USA
| | - Ranjan K Thakur
- Cardiac Electrophysiology, Michigan State University, East Lansing, USA
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11
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Zafeiratou S, Samoli E, Analitis A, Gasparrini A, Stafoggia M, de’ Donato FK, Rao S, Zhang S, Breitner S, Masselot P, Aunan K, Schneider A, Katsouyanni K. Assessing heat effects on respiratory mortality and location characteristics as modifiers of heat effects at a small area scale in Central-Northern Europe. Environ Epidemiol 2023; 7:e269. [PMID: 37840857 PMCID: PMC10569755 DOI: 10.1097/ee9.0000000000000269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 03/06/2023] [Accepted: 08/02/2023] [Indexed: 10/17/2023] Open
Abstract
Background Heat effects on respiratory mortality are known, mostly from time-series studies of city-wide data. A limited number of studies have been conducted at the national level or covering non-urban areas. Effect modification by area-level factors has not been extensively investigated. Our study assessed the heat effects on respiratory mortality at a small administrative area level in Norway, Germany, and England and Wales, in the warm period (May-September) within 1996-2018. Also, we examined possible effect modification by several area-level characteristics in the framework of the EU-Horizon2020 EXHAUSTION project. Methods Daily respiratory mortality counts and modeled air temperature data were collected for Norway, Germany, and England and Wales at a small administrative area level. The temperature-mortality association was assessed by small area-specific Poisson regression allowing for overdispersion, using distributed lag non-linear models. Estimates were pooled at the national level and overall using a random-effect meta-analysis. Age- and sex-specific models were also applied. A multilevel random-effects model was applied to investigate the modification of the heat effects by area-level factors. Results A rise in temperature from the 75th to 99th percentile was associated with a 27% (95% confidence interval [CI] = 19%, 34%) increase in respiratory mortality, with higher effects for females. Increased population density and PM2.5 concentrations were associated with stronger heat effects on mortality. Conclusions Our study strengthens the evidence of adverse heat effects on respiratory mortality in Northern Europe by identifying vulnerable subgroups and subregions. This may contribute to the development of targeted policies for adaptation to climate change.
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Affiliation(s)
- Sofia Zafeiratou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
| | - Antonis Analitis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
| | - Antonio Gasparrini
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service (ASL ROMA 1), Rome, Italy
| | | | - Shilpa Rao
- Division for Climate and Environment, Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | - Siqi Zhang
- Institute of Epidemiology, Helmholtz Zentrum München (HMGU), Neuherberg, Germany
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München (HMGU), Neuherberg, Germany
| | - Pierre Masselot
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Kristin Aunan
- CICERO Center for International Climate Research, Norway
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München (HMGU), Neuherberg, Germany
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College, London, United Kingdom
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12
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Antwi-Amoabeng D, Sathappan S, Firzli TR, Beutler BD, Ulanja MB, Gbadebo TD. A nationwide analysis of the outcomes in hospitalized patients with atrial fibrillation and temperature-related illnesses. Clinics (Sao Paulo) 2023; 78:100269. [PMID: 37557004 PMCID: PMC10432905 DOI: 10.1016/j.clinsp.2023.100269] [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: 03/21/2023] [Revised: 07/25/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023] Open
Abstract
OBJECTIVES The authors evaluated mortality and indices of cost of care among inpatients with Atrial Fibrillation (AF) and a diagnosis of a Temperature-Related Illness (TRI). The authors also assessed trends in the prevalence of TRIs among AF hospitalizations. METHODS In this cross-sectional study, the authors used discharge data from the Nationwide Inpatient Sample (NIS) collected between January 2005 and September 2015 to identify patients with a diagnosis of AF and TRI. Outcomes of interest included in-hospital mortality, invasive mechanical ventilation, hospital length of stay, and cost of hospitalization. RESULTS A total of 37,933 encounters were included. The median age was 79 years. Males were slightly overrepresented relative to females (54.2% vs. 45.8%, respectively). Although Blacks were only 6.6% of the cohort, they represented 12.2% of the TRI cases. Compared to non-TRI-related hospitalizations, a diagnosis of a TRI was associated with an increased likelihood of invasive mechanical ventilation (16.5% vs. 4.1%, p < 0.001), longer length-of-stay (5 vs. 4 days, p < 0.001), higher cost of care (10,082 vs. 8,607, in US dollars p < 0.001), and increased mortality (18.6% vs. 5.1%, p < 0.001). Compared to non-TRI, cold-related illness portends higher odds of mortality 4.68, 95% Confidence Interval (4.35-5.04), p < 0.001, and heat-related illness was associated with less odds of mortality, but this was not statistically significant 0.77 (0.57-1.03), p = 0.88. CONCLUSION The occurrence of TRI among hospitalized AF patients is small but there is an increasing trend in the prevalence, which more than doubled over the decade in this study. Individuals with AF who are admitted with a TRI face significantly poorer outcomes than those admitted without a TRI including higher mortality. Cold-related illness is associated with higher odds of mortality. Further research is required to elucidate the pathogenic mechanisms underlying these findings and identify strategies to prevent TRIs in AF patients.
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Affiliation(s)
| | | | - Tarek R Firzli
- University of Nevada, Reno School of Medicine, Reno, USA
| | - Bryce D Beutler
- University of Southern California, Keck School of Medicine, Los Angeles, USA.
| | - Mark B Ulanja
- Christus Ochsner St. Patrick Hospital, Lake Charles, USA
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13
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Flores NM, Do V, Rowland ST, Casey JA, Kioumourtzoglou MA. The role of insurance status in the association between short-term temperature exposure and myocardial infarction hospitalizations in New York State. Environ Epidemiol 2023; 7:e258. [PMID: 37545806 PMCID: PMC10403039 DOI: 10.1097/ee9.0000000000000258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 06/01/2023] [Indexed: 08/08/2023] Open
Abstract
Myocardial infarction (MI) is a leading cause of morbidity and mortality in the United States and its risk increases with extreme temperatures. Climate change causes variability in weather patterns, including extreme temperature events that disproportionately affect socioeconomically disadvantaged communities. Many studies on the health effects of extreme temperatures have considered community-level socioeconomic disadvantage. Objectives To evaluate effect modification of the relationship between short-term ambient temperature and MI, by individual-level insurance status (insured vs. uninsured). Methods We identified MI hospitalizations and insurance status across New York State (NYS) hospitals from 1995 to 2015 in the New York Department of Health Statewide Planning and Research Cooperative System database, using International Classification of Diseases codes. We linked short-term ambient temperature (averaging the 6 hours preceding the event [MI hospitalization]) or nonevent control period in patient residential zip codes. We employed a time-stratified case-crossover study design for both insured and uninsured strata, and then compared the group-specific rate ratios. Results Over the study period, there were 1,095,051 primary MI admissions, 966,475 (88%) among insured patients. During extremely cold temperatures (<5.8 °C) insured patients experienced reduced rates of MI; this was not observed among the uninsured counterparts. At warmer temperatures starting at the 65th percentile (15.7 °C), uninsured patients had higher rates than insured patients (e.g., for a 6-hour pre-event average temperature increase from the median to the 75th percentile, the rate of MI increased was 2.0% [0.0%-4.0%] higher in uninsured group). Conclusions Uninsured individuals may face disproportionate rates of MI hospitalization during extreme temperatures.
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Affiliation(s)
- Nina M. Flores
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Vivian Do
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Sebastian T. Rowland
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
- Physicians, Scientists, and Engineers (PSE) for Healthy Energy, Oakland, California
| | - Joan A. Casey
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
- Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, Washington
| | - Marianthi A. Kioumourtzoglou
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
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Liu Y, Wang D, Huang X, Liang R, Tu Z, You X, Zhou M, Chen W. Temporal trend and global burden of type 2 diabetes attributable to non-optimal temperature, 1990-2019: an analysis for the Global Burden of Disease Study 2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-28225-1. [PMID: 37328723 DOI: 10.1007/s11356-023-28225-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/08/2023] [Indexed: 06/18/2023]
Abstract
Exposure to hot or cold temperatures was reported to be associated with increased mortality and morbidity of type 2 diabetes, but few studies have estimated the temporal trend and global burden of type 2 diabetes attributable to non-optimal temperature. Based on the Global Burden of Disease Study 2019, we collected data on the numbers and rates of deaths and disability-adjusted life years (DALYs) of type 2 diabetes attributed to non-optimal temperature. The joinpoint regression analysis was used to estimate the temporal trends of the age-standardized rate of mortality and DALYs from 1990 to 2019 by average annual percentage change (AAPC). From 1990 to 2019, globally, the numbers of deaths and DALYs of type 2 diabetes attributable to non-optimal temperature increased by 136.13% (95% (uncertainty interval) UI: 87.04% to 277.76%) and 122.26% (95% UI: 68.77% to 275.59%), with the number from 0.05 (95% UI: 0.02 to 0.07) million and 0.96 (95% UI: 0.37 to 1.51) million in 1990 to 0. 11 (95% UI: 0.07 to 0.15) million and 2.14 (95% UI: 1.35 to 3.13) million in 2019. The age-standardized mortality rate (ASMR) and DALYs rate (ASDR) of type 2 diabetes attributable to non-optimal temperature showed an increasing trend in the high temperature effect and lower (low, low-middle and middle) socio-demographic index (SDI) region, with AAPCs of 3.17%, 1.24%, 1.61%, and 0.79% (all P < 0.05), respectively. The greatest increased ASMR and ASDR were observed in Central Asia, followed by Western Sub-Saharan Africa and South Asia. Meanwhile, the contribution of type 2 diabetes burden attributable to high temperature gradually increased globally and in five SDI regions. In addition, the global age-specific rate of mortality and DALYs of type 2 diabetes attributable to non-optimal temperature for both men and women almost increased with age in 2019. The global burden of type 2 diabetes attributable to non-optimal temperature increased from 1990 to 2019, particularly in high temperature, regions with lower SDI, and the older population. Appropriate temperature interventions are necessary to curb climate change and increasing diabetes.
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Affiliation(s)
- Yang Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xuezan Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Ruyi Liang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Zhouzheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xiaojie You
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Min Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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15
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Cornelius T, Casey JA, Just AC, Rowland ST, Edmondson D. Temperature and socioeconomic vulnerability: associations with cardiac event-induced posttraumatic stress symptoms. Front Psychol 2023; 14:1092106. [PMID: 37325741 PMCID: PMC10267367 DOI: 10.3389/fpsyg.2023.1092106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 05/10/2023] [Indexed: 06/17/2023] Open
Abstract
Background Posttraumatic stress symptoms (PTSS) are common after acute coronary syndrome (ACS) and predict increased morbidity and mortality. Climate change contributes to worse mental and cardiovascular health outcomes, thus, PTSS represent a potential mechanism linking climate change to adverse cardiovascular outcomes. Because people living in areas with lower socioeconomic status (SES) experience greater climate vulnerability, have worse cardiovascular health, and may be more susceptible to PTSS, any effect of temperature on PTSS could be amplified in this population. Methods Spatial regression models were estimated to test the association of temperature and temperature variability (within-day variability, directed change over time, and absolute change over time), census tract-level SES, and their interaction with PTSS 1 month post-hospital discharge in a longitudinal cohort study comprising 956 patients evaluated for ACS at an urban U.S. academic medical center between November 2013-May 2017. PTSS were self-reported in relation to the ACS event that brought the patient to the hospital. Census tract-level was computed as a composite score from the CDC Social Vulnerability Index, with higher values indicating lower SES. Results No temperature or temperature variability metrics were associated with PTSS. Lower census tract-level SES was associated with greater PTSS at 1 month. There was a marginally significant interaction of SES with ACS status, such that we only observed evidence of an association among those with ACS. Conclusion Temperature exposures were not associated with acute CVD-induced PTSS, which could be a result of a small sample size, mismatched timescale, or lack of a true effect. Conversely, lower census tract-level SES was associated with developing worse PTSS 1 month after evaluation for an ACS. This association appeared stronger in individuals with a true ACS. Early interventions to prevent PTSS could promote better mental and CVD outcomes in this at-risk population.
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Affiliation(s)
- Talea Cornelius
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States
| | - Joan A. Casey
- Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, United States
| | - Allan C. Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sebastian T. Rowland
- Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, United States
| | - Donald Edmondson
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States
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16
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Errett NA, Hartwell C, Randazza JM, Nori-Sarma A, Weinberger KR, Spangler KR, Sun Y, Adams QH, Wellenius GA, Hess JJ. Survey of extreme heat public health preparedness plans and response activities in the most populous jurisdictions in the United States. BMC Public Health 2023; 23:811. [PMID: 37138325 PMCID: PMC10154751 DOI: 10.1186/s12889-023-15757-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 04/26/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Increasingly frequent and intense extreme heat events (EHEs) are indicative of climate change impacts, and urban areas' social and built environments increase their risk for health consequences. Heat action plans (HAPs) are a strategy to bolster municipal EHE preparedness. The objective of this research is to characterize municipal interventions to EHEs and compare U.S. jurisdictions with and without formal heat action plans. METHODS An online survey was sent to 99 U.S. jurisdictions with populations > 200,000 between September 2021 and January 2022. Summary statistics were calculated to describe the proportion of total jurisdictions, as well as jurisdictions with and without HAPs and in different geographies that reported engagement in extreme heat preparedness and response activities. RESULTS Thirty-eight (38.4%) jurisdictions responded to the survey. Of those respondents, twenty-three (60.5%) reported the development of a HAP, of which 22 (95.7%) reported plans for opening cooling centers. All respondents reported conducting heat-related risk communications; however, communication approaches focused on passive, technology-dependent mechanisms. While 75.7% of jurisdictions reported having developed a definition for an EHE, less than two-thirds of responding jurisdictions reported any of the following activities: conducting heat-related surveillance (61.1%), implementing provisions for power outages (53.1%), increasing access to fans or air conditioners (48.4%), developing heat vulnerability maps (43.2%), or evaluating activities (34.2%). There were only two statistically significant (p ≥ .05) differences in the prevalence of heat-related activities between jurisdictions with and without a written HAP, possibly attributable to a relatively small sample size: surveillance and having a definition of extreme heat. CONCLUSIONS Jurisdictions can strengthen their extreme heat preparedness by expanding their consideration of at-risk populations to include communities of color, conducting formal evaluations of their responses, and by bridging the gap between the populations determined to be most at-risk and the channels of communication designed to reach them.
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Affiliation(s)
- Nicole A Errett
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, 4225 Roosevelt Way NE, Suite 100, Seattle, WA, 98105, USA.
| | - Cat Hartwell
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, 4225 Roosevelt Way NE, Suite 100, Seattle, WA, 98105, USA
| | - Juliette M Randazza
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, 4225 Roosevelt Way NE, Suite 100, Seattle, WA, 98105, USA
| | - Amruta Nori-Sarma
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | | | - Keith R Spangler
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Yuantong Sun
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Quinn H Adams
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Gregory A Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Jeremy J Hess
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, 4225 Roosevelt Way NE, Suite 100, Seattle, WA, 98105, USA
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Emergency Medicine, University of Washington, Seattle, WA, USA
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17
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Zhang Y, Ebelt ST, Shi L, Scovronick NC, D'Souza RR, Steenland K, Chang HH. Short-term associations between warm-season ambient temperature and emergency department visits for Alzheimer's disease and related dementia in five US states. ENVIRONMENTAL RESEARCH 2023; 220:115176. [PMID: 36584844 PMCID: PMC9898200 DOI: 10.1016/j.envres.2022.115176] [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: 04/12/2022] [Revised: 11/30/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Ambient temperatures are projected to increase in the future due to climate change. Alzheimer's disease (AD) and Alzheimer's disease-related dementia (ADRD) affect millions of individuals and represent substantial health burdens in the US. High temperature may be a risk factor for AD/ADRD outcomes with several recent studies reporting associations between temperature and AD mortality. However, the link between heat and AD morbidity is poorly understood. METHODS We examined short-term associations between warm-season daily ambient temperature and AD/ADRD emergency department (ED) visits for individuals aged 45 years or above during the warm season (May to October) for up to 14 years (2005-2018) in five US states: California, Missouri, North Carolina, New Jersey, and New York. Daily ZIP code-level maximum, average and minimum temperature exposures were derived from 1 km gridded Daymet products. Associations are assessed using a time-stratified case-crossover design using conditional logistic regression. RESULTS We found consistent positive short-term effects of ambient temperature among 3.4 million AD/ADRD ED visits across five states. An increase of the 3-day cumulative temperature exposure of daily average temperature from the 50th to the 95th percentile was associated with a pooled odds ratio of 1.042 (95% CI: 1.034, 1.051) for AD/ADRD ED visits. We observed evidence of the association being stronger for patients 65-74 years of age and for ED visits that led to hospital admissions. Temperature associations were also stronger among AD/ADRD ED visits compared to ED visits for other reasons, particularly among patients aged 65-74 years. CONCLUSION People with AD/ADRD may represent a vulnerable population affected by short-term exposure to high temperature. Our results support the development of targeted strategies to reduce heat-related AD/ADRD morbidity in the context of global warming.
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Affiliation(s)
- Yuzi Zhang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Stefanie T Ebelt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Noah C Scovronick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Rohan R D'Souza
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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18
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Corvetto JF, Helou AY, Dambach P, Müller T, Sauerborn R. A Systematic Literature Review of the Impact of Climate Change on the Global Demand for Psychiatric Services. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1190. [PMID: 36673946 PMCID: PMC9858749 DOI: 10.3390/ijerph20021190] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
Climate Change (CC) imposes important global health risks, including on mental health (MH). They are related mostly to psychological suffering caused by climate-related events and to the heat-vulnerability caused by psychiatric disorders. This growing burden may press MH services worldwide, increasing demand on public and private systems in low-, middle-, and high-income countries. According to PRISMA, two independent reviewers searched four databases for papers published before May 2022 that associated climate-related events with healthcare demand for psychiatric conditions. Of the 7432 papers retrieved, we included 105. Only 29 were carried out in low- and middle-income countries. Twelve related the admission numbers to (i) extreme events, while 93 to (ii) meteorological factors-mostly heat. Emergency visits and hospitalizations were significantly higher during hot periods for MH disorders, especially until lag 5-7. Extreme events also caused more consultations. Suicide (completed or attempted), substance misuse, schizophrenia, mood, organic and neurotic disorders, and mortality were strongly affected by CC. This high healthcare demand is evidence of the burden patients may undergo. In addition, public and private services may face a shortage of financial and human resources. Finally, the increased use of healthcare facilities, in turn, intensifies greenhouse gas emissions, representing a self-enforcing cycle for CC. Further research is needed to better clarify how extreme events affect MH services and, in addition, if services in low- and middle-income countries are more intensely demanded by CC, as compared to richer countries.
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Affiliation(s)
- Julia Feriato Corvetto
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg University, 69120 Heidelberg, Germany
| | - Ammir Yacoub Helou
- Department of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-900, Brazil
| | - Peter Dambach
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg University, 69120 Heidelberg, Germany
| | - Thomas Müller
- Private Clinic Meiringen, 3860 Meiringen, Switzerland
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Rainer Sauerborn
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg University, 69120 Heidelberg, Germany
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19
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Zheng H, Wang Q, Fu J, Ding Z, Cheng J, Xu Z, Xu Y, Xia Y. Geographical variation in the effect of ambient temperature on infectious diarrhea among children under 5 years. ENVIRONMENTAL RESEARCH 2023; 216:114491. [PMID: 36208789 DOI: 10.1016/j.envres.2022.114491] [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: 05/14/2022] [Revised: 09/22/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
Understanding the geographical distribution in the association of temperature with childhood diarrhea can assist in formulating effective localized diarrhea prevention practices. This study aimed to identify the geographical variation in terms of temperature thresholds, lag effects, and attributable fraction (AF) in the effects of ambient temperature on Class C Other Infectious Diarrhea (OID) among children <5 years in Jiangsu Province, China. Daily data of OID cases and meteorological variables from 2015 to 2019 were collected. City-specific minimum morbidity temperature (MMT), increasing risk temperature (IRT), maximum risk temperature (MRT), maximum risk lag day (MRD), and lag day duration (LDD) were identified as risk indicators for the temperature-OID relationship using distributed lag non-linear models. The AF of OID incidence due to temperature was evaluated. Multivariable regression was also applied to explore the underlying modifiers of the AF. The geographical distributions of MMT, IRT, and MRT generally decreased with the latitude increment varying between 22.3-34.7 °C, -2.9-18.1 °C, and -6.8-23.2 °C. Considerable variation was shown in the AF ranging from 0.2 to 8.5%, and the AF significantly increased with latitude (95% confidence interval (CI): -3.458, -0.987) and economic status decrement (95% CI: -0.161, -0.019). Our study demonstrated between-city variations in the association of temperature with OID, which should be considered in the localized clinical and public health practices to decrease the incidence of childhood diarrhea.
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Affiliation(s)
- Hao Zheng
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - QingQing Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jianguang Fu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China; Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Nanjing, China
| | - Zhen Ding
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Zhiwei Xu
- School of Public Health, University of Queensland, Queensland, Australia
| | - Yan Xu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China; Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Nanjing, China.
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China.
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20
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Fang W, Li Z, Gao J, Meng R, He G, Hou Z, Zhu S, Zhou M, Zhou C, Xiao Y, Yu M, Huang B, Xu X, Lin L, Xiao J, Jin D, Qin M, Yin P, Xu Y, Hu J, Liu T, Huang C, Ma W. The joint and interaction effect of high temperature and humidity on mortality in China. ENVIRONMENT INTERNATIONAL 2023; 171:107669. [PMID: 36508749 DOI: 10.1016/j.envint.2022.107669] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/20/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Although many studies have reported the mortality effect of temperature, there were few studies on the mortality risk of humidity, let alone the joint effect of temperature and humidity. This study aimed to investigate the joint and interaction effect of high temperature and relative humidity on mortality in China, which will deepen understanding the health risk of mixture climate exposure. METHODS The mortality and meteorological data were collected from 353 locations in China (2013-2017 in Jilin, Hunan, Guangdong and Yunnan provinces, 2009-2017 in Zhejiang province, and 2006-2011 in other Provinces). We defined location-specific daily mean temperature ≥ 75th percentile of distribution as high temperature, while minimum mortality relative humidity as the threshold of high relative humidity. A time-series model with a distributed lag non-linear model was first employed to estimate the location-specific associations between humid-hot events and mortality, then we conducted meta-analysis to pool the mortality effect of humid-hot events. Finally, an additive interaction model was used to examine the interactive effect between high temperature and relative humidity. RESULTS The excess rate (ER) of non-accidental mortality attributed to dry-hot events was 10.18% (95% confidence interval (CI): 8.93%, 11.45%), which was higher than that of wet-hot events (ER = 3.21%, 95% CI: 0.59%, 5.89%). The attributable fraction (AF) of mortality attributed to dry-hot events was 10.00% (95% CI: 9.50%, 10.72%) with higher burden for females, older people, central China, cardiovascular diseases and urban city. While for wet-hot events, AF was much lower (3.31%, 95% CI: 2.60%, 4.30%). We also found that high temperature and low relative humidity had synergistic additive interaction on mortality risk. CONCLUSION Dry-hot events may have a higher risk of mortality than wet-hot events, and the joint effect of high temperature and low relative humidity may be greater than the sum of their individual effects.
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Affiliation(s)
- Wen Fang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Zhixing Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jinghua Gao
- School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Ruilin Meng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Zhulin Hou
- Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Sui Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Maigeng Zhou
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing 100050, China
| | - Chunliang Zhou
- Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
| | - Yize Xiao
- Yunnan Provincial Center for Disease Control and Prevention, Kunming 650034, China
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310009, China
| | - Biao Huang
- Jilin Provincial Center for Disease Control and Prevention, Changchun 130062, China
| | - Xiaojun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Lifeng Lin
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Donghui Jin
- Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
| | - Mingfang Qin
- Yunnan Provincial Center for Disease Control and Prevention, Kunming 650034, China
| | - Peng Yin
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing 100050, China
| | - Yiqing Xu
- Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
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21
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Bakhtsiyarava M, Schinasi LH, Sánchez BN, Dronova I, Kephart JL, Ju Y, Gouveia N, Caiaffa WT, O'Neill MS, Yamada G, Arunachalam S, Diez-Roux AV, Rodríguez DA. Modification of temperature-related human mortality by area-level socioeconomic and demographic characteristics in Latin American cities. Soc Sci Med 2023; 317:115526. [PMID: 36476939 PMCID: PMC9870751 DOI: 10.1016/j.socscimed.2022.115526] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND In Latin America, where climate change and rapid urbanization converge, non-optimal ambient temperatures contribute to excess mortality. However, little is known about area-level characteristics that confer vulnerability to temperature-related mortality. OBJECTIVES Explore city-level socioeconomic and demographic characteristics associated with temperature-related mortality in Latin American cities. METHODS The dependent variables quantify city-specific associations between temperature and mortality: heat- and cold-related excess death fractions (EDF, or percentages of total deaths attributed to cold/hot temperatures), and the relative mortality risk (RR) associated with 1 °C difference in temperature in 325 cities during 2002-2015. Random effects meta-regressions were used to investigate whether EDFs and RRs associated with heat and cold varied by city-level characteristics, including population size, population density, built-up area, age-standardized mortality rate, poverty, living conditions, educational attainment, income inequality, and residential segregation by education level. RESULTS We find limited effect modification of cold-related mortality by city-level demographic and socioeconomic characteristics and several unexpected associations for heat-related mortality. For example, cities in the highest compared to the lowest tertile of income inequality have all-age cold-related excess mortality that is, on average, 3.45 percentage points higher (95% CI: 0.33, 6.56). Higher poverty and higher segregation were also associated with higher cold EDF among those 65 and older. Large, densely populated cities, and cities with high levels of poverty and income inequality experience smaller heat EDFs compared to smaller and less densely populated cities, and cities with little poverty and income inequality. DISCUSSION Evidence of effect modification of cold-related mortality in Latin American cities was limited, and unexpected patterns of modification of heat-related mortality were observed. Socioeconomic deprivation may impact cold-related mortality, particularly among the elderly. The findings of higher levels of poverty and income inequality associated with lower heat-related mortality deserve further investigation given the increasing importance of urban adaptation to climate change.
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Affiliation(s)
- Maryia Bakhtsiyarava
- Institute of Transportation Studies, University of California, Berkeley, CA, USA.
| | - Leah H Schinasi
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, USA; Department of Environmental and Occupational Health, Drexel Dornsife School of Public Health, Philadelphia, USA
| | - Brisa N Sánchez
- Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, USA
| | - Iryna Dronova
- Department of Environmental Science, Policy & Management, University of California, Berkeley, USA; Department of Landscape Architecture & Environmental Planning, University of California, Berkeley, USA
| | - Josiah L Kephart
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, USA
| | - Yang Ju
- School of Architecture and Urban Planning, Nanjing University, Nanjing, China
| | - Nelson Gouveia
- Department of Preventive Medicine, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Waleska Teixeira Caiaffa
- Observatório de Saúde Urbana de Belo Horizonte, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Marie S O'Neill
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, USA
| | - Goro Yamada
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, USA
| | - Sarav Arunachalam
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Ana V Diez-Roux
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, USA; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, USA
| | - Daniel A Rodríguez
- Institute of Transportation Studies, University of California, Berkeley, CA, USA; Department of City and Regional Planning and Institute Transportation Studies, University of California, Berkeley, USA
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22
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Demoury C, De Troeyer K, Berete F, Aerts R, Van Schaeybroeck B, Van der Heyden J, De Clercq EM. Association between temperature and natural mortality in Belgium: Effect modification by individual characteristics and residential environment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 851:158336. [PMID: 36037893 DOI: 10.1016/j.scitotenv.2022.158336] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/12/2022] [Accepted: 08/23/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND There is strong evidence of mortality being associated to extreme temperatures but the extent to which individual or residential factors modulate this temperature vulnerability is less clear. METHODS We conducted a multi-city study with a time-stratified case-crossover design and used conditional logistic regression to examine the association between extreme temperatures and overall natural and cause-specific mortality. City-specific estimates were pooled using a random-effect meta-analysis to describe the global association. Cold and heat effects were assessed by comparing the mortality risks corresponding to the 2.5th and 97.5th percentiles of the daily temperature, respectively, with the minimum mortality temperature. For cold, we cumulated the risk over lags of 0 to 28 days before death and 0 to 7 days for heat. We carried out stratified analyses and assessed effect modification by individual characteristics, preexisting chronic health conditions and residential environment (population density, built-up area and air pollutants: PM2.5, NO2, O3 and black carbon) to identify more vulnerable population subgroups. RESULTS Based on 307,859 deaths from natural causes, we found significant cold effect (OR = 1.42, 95%CI: 1.30-1.57) and heat effect (OR = 1.17, 95%CI: 1.12-1.21) for overall natural mortality and for respiratory causes in particular. There were significant effects modifications for some health conditions: people with asthma were at higher risk for cold, and people with psychoses for heat. In addition, people with long or frequent hospital admissions in the year preceding death were at lower risk. Despite large uncertainties, there was suggestion of effect modification by air pollutants: the effect of heat was higher on more polluted days of O3 and black carbon, and a higher cold effect was observed on more polluted days of PM2.5 and NO2 while for O3, the effect was lower. CONCLUSIONS These findings allow for targeted planning of public-health measures aiming to prevent the effects of extreme temperatures.
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Affiliation(s)
- Claire Demoury
- Risk and Health Impact Assessment, Sciensano, Brussels, Belgium.
| | | | - Finaba Berete
- Lifestyle and Chronic Diseases, Sciensano, Brussels, Belgium
| | - Raf Aerts
- Risk and Health Impact Assessment, Sciensano, Brussels, Belgium; Division Ecology, Evolution and Biodiversity Conservation, KU Leuven, Leuven, Belgium; Center for Environmental Sciences, University of Hasselt, Hasselt, Belgium
| | - Bert Van Schaeybroeck
- Department of Meteorological Research and Development, Royal Meteorological Institute of Belgium, Brussels, Belgium
| | | | - Eva M De Clercq
- Risk and Health Impact Assessment, Sciensano, Brussels, Belgium
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23
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Zhou L, He C, Kim H, Honda Y, Lee W, Hashizume M, Chen R, Kan H. The burden of heat-related stroke mortality under climate change scenarios in 22 East Asian cities. ENVIRONMENT INTERNATIONAL 2022; 170:107602. [PMID: 36323066 DOI: 10.1016/j.envint.2022.107602] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 09/03/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Stroke is a leading cause of death and disability in East Asia. Owing to the aging population and high prevalence of stroke, East Asia might suffer a disproportionately heavy burden of stroke under the changing climate. However, the evidence relevant is still limited in this area. OBJECTIVE To evaluate the stroke mortality risk due to heat exposure in East Asia and predict its burden under various future climate change scenarios. METHODS We conducted a multi-center observational study and collected data from 22 representative cities in three main East Asian countries (i.e., China, Japan, and South Korea) from 1972 to 2015. The two-stage time-series analyses were applied to estimate the effects of heat on stroke mortality at the regional and country level. We further projected the burden of heat-related stroke mortality using 10 global climate models (GCMs) under four shared socioeconomic pathway and representative concentration pathway (SSP-RCP) scenarios, including SSP1-RCP1.9, SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5 scenarios. RESULTS In the present study, a total of 287,579 stroke deaths were collected during the warm season. Heat was significantly associated with an increased risk of stroke mortality. Overall, compared with the 2010 s, the heat-related attributable fraction (AF) was projected to increase in the 2090 s, with increments ranging from 0.8 % to 7.5 % across various climate change scenarios. The heat-related AF was projected to reach 11.9 % (95 % empirical confidence interval [eCI]: 6.1 %, 17.5 %) in the 2090 s under the SSP5-RCP8.5 scenario in China, while the corresponding estimates were 6.6 % (95 % eCI: 2.5 %, 11.0 %) and 5.1 % (95 % eCI: 1.2 %, 9.1 %) for Japan and South Korea, respectively. CONCLUSIONS Climate change will exacerbate the burden of heat-related stroke mortality but with considerable geographical heterogeneity in East Asia.
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Affiliation(s)
- Lu Zhou
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Cheng He
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Ho Kim
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Yasushi Honda
- Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan
| | - Whanhee Lee
- School of the Environment, Yale University, New Haven, CT, USA
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China.
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Manware M, Dubrow R, Carrión D, Ma Y, Chen K. Residential and Race/Ethnicity Disparities in Heat Vulnerability in the United States. GEOHEALTH 2022; 6:e2022GH000695. [PMID: 36518814 PMCID: PMC9744626 DOI: 10.1029/2022gh000695] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 10/03/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Adverse health outcomes caused by extreme heat represent the most direct human health threat associated with the warming of the Earth's climate. Socioeconomic, demographic, health, land cover, and temperature determinants contribute to heat vulnerability; however, nationwide patterns of residential and race/ethnicity disparities in heat vulnerability in the United States are poorly understood. This study aimed to develop a Heat Vulnerability Index (HVI) for the United States; to assess differences in heat vulnerability across geographies that have experienced historical and/or contemporary forms of marginalization; and to quantify HVI by race/ethnicity. Principal component analysis was used to calculate census tract level HVI scores based on the 2019 population characteristics of the United States. Differences in HVI scores were analyzed across the Home Owners' Loan Corporation (HOLC) "redlining" grades, the Climate and Economic Justice Screening Tool (CEJST) disadvantaged versus non-disadvantaged communities, and race/ethnicity groups. HVI scores were calculated for 55,267 U.S. census tracts. Mean HVI scores were 17.56, 18.61, 19.45, and 19.93 for HOLC grades "A"-"D," respectively. CEJST-defined disadvantaged census tracts had a significantly higher mean HVI score (19.13) than non-disadvantaged tracts (16.68). The non-Hispanic African American or Black race/ethnicity group had the highest HVI score (18.51), followed by Hispanic or Latino (18.19). Historically redlined and contemporary CEJST disadvantaged census tracts and communities of color were found to be associated with increased vulnerability to heat. These findings can help promote equitable climate change adaptation policies by informing policymakers about the national distribution of place- and race/ethnicity-based disparities in heat vulnerability.
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Affiliation(s)
- Mitchell Manware
- Department of Social and Behavioral SciencesYale School of Public HealthNew HavenCTUSA
- Yale Center on Climate Change and HealthYale School of Public HealthNew HavenCTUSA
| | - Robert Dubrow
- Yale Center on Climate Change and HealthYale School of Public HealthNew HavenCTUSA
- Department of Environmental Health SciencesYale School of Public HealthNew HavenCTUSA
| | - Daniel Carrión
- Yale Center on Climate Change and HealthYale School of Public HealthNew HavenCTUSA
- Department of Environmental Health SciencesYale School of Public HealthNew HavenCTUSA
| | - Yiqun Ma
- Yale Center on Climate Change and HealthYale School of Public HealthNew HavenCTUSA
- Department of Environmental Health SciencesYale School of Public HealthNew HavenCTUSA
| | - Kai Chen
- Yale Center on Climate Change and HealthYale School of Public HealthNew HavenCTUSA
- Department of Environmental Health SciencesYale School of Public HealthNew HavenCTUSA
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25
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Dring P, Armstrong M, Alexander R, Xiang H. Emergency Department Visits for Heat-Related Emergency Conditions in the United States from 2008-2020. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14781. [PMID: 36429500 PMCID: PMC9690248 DOI: 10.3390/ijerph192214781] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/04/2022] [Accepted: 11/06/2022] [Indexed: 06/16/2023]
Abstract
Exposure to high temperatures is detrimental to human health. As climate change is expected to increase the frequency of extreme heat events, and raise ambient temperatures, an investigation into the trend of heat-related emergency department (ED) visits over the past decade is necessary to assess the human health impact of this growing public health crisis. ED visits were examined using the Nationwide Emergency Department Sample. Visits were included if the diagnostic field contained an ICD-9-CM or ICD-10-CM code specific to heat-related emergency conditions. Weighted counts were generated using the study design and weighting variables, to estimate the national burden of heat-related ED visits. A total of 1,078,432 weighted visits were included in this study. The annual incidence rate per 100,000 population increased by an average of 2.85% per year, ranging from 18.21 in 2009, to 32.34 in 2018. The total visit burden was greatest in the South (51.55%), with visits increasing to the greatest degree in the Midwest (8.52%). ED visit volume was greatest in July (29.79%), with visits increasing to the greatest degree in July (15.59%) and March (13.18%). An overall increase in heat-related ED visits for heat-related emergency conditions was found during the past decade across the United States, affecting patients in all regions and during all seasons.
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Affiliation(s)
- Penelope Dring
- College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
- Center for Pediatric Trauma Research, Nationwide Children’s Hospital, Columbus, OH 43205, USA
| | - Megan Armstrong
- Center for Pediatric Trauma Research, Nationwide Children’s Hospital, Columbus, OH 43205, USA
- Center for Injury Research and Policy, Nationwide Children’s Hospital, Columbus, OH 43205, USA
| | - Robin Alexander
- Center for Biostatistics, The Ohio State University, Columbus, OH 43210, USA
| | - Henry Xiang
- Center for Pediatric Trauma Research, Nationwide Children’s Hospital, Columbus, OH 43205, USA
- Center for Injury Research and Policy, Nationwide Children’s Hospital, Columbus, OH 43205, USA
- College of Medicine, The Ohio State University, Columbus, OH 43210, USA
- College of Public Health, The Ohio State University, Columbus, OH 43210, USA
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26
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Phung VLH, Oka K, Hijioka Y, Ueda K, Sahani M, Wan Mahiyuddin WR. Environmental variable importance for under-five mortality in Malaysia: A random forest approach. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 845:157312. [PMID: 35839873 DOI: 10.1016/j.scitotenv.2022.157312] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 06/29/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Environmental factors have been associated with adverse health effects in epidemiological studies. The main exposure variable is usually determined via prior knowledge or statistical methods. It may be challenging when evidence is scarce to support prior knowledge, or to address collinearity issues using statistical methods. This study aimed to investigate the importance level of environmental variables for the under-five mortality in Malaysia via random forest approach. METHOD We applied a conditional permutation importance via a random forest (CPI-RF) approach to evaluate the relative importance of the weather- and air pollution-related environmental factors on daily under-five mortality in Malaysia. This study spanned from January 1, 2014 to December 31, 2016. In data preparation, deviation mortality counts were derived through a generalized additive model, adjusting for long-term trend and seasonality. Analyses were conducted considering mortality causes (all-cause, natural-cause, or external-cause) and data structures (continuous, categorical, or all types [i.e., include all variables of continuous type and all variables of categorical type]). The main analysis comprised of two stages. In Stage 1, Boruta selection was applied for preliminary screening to remove highly unimportant variables. In Stage 2, the retained variables from Boruta were used in the CPI-RF analysis. The final importance value was obtained as an average value from a 10-fold cross-validation. RESULT Some heat-related variables (maximum temperature, heat wave), temperature variability, and haze-related variables (PM10, PM10-derived haze index, PM10- and fire-derived haze index, fire hotspot) were among the prominent variables associated with under-five mortality in Malaysia. The important variables were consistent for all- and natural-cause mortality and sensitivity analyses. However, different most important variables were observed between natural- and external-cause under-five mortality. CONCLUSION Heat-related variables, temperature variability, and haze-related variables were consistently prominent for all- and natural-cause under-five mortalities, but not for external-cause.
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Affiliation(s)
- Vera Ling Hui Phung
- Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
| | - Kazutaka Oka
- Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Yasuaki Hijioka
- Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Kayo Ueda
- Department of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan; Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Kyoto, Japan; Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Kyoto, Japan
| | - Mazrura Sahani
- Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Wilayah Persekutuan, Malaysia
| | - Wan Rozita Wan Mahiyuddin
- Environmental Health Research Center, Institute for Medical Research, National Institutes of Health (NIH), Ministry of Health, Shah Alam, Selangor, Malaysia
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van Tilburg AJ, Hudson PF. Extreme weather events and farmer adaptation in Zeeland, the Netherlands: A European climate change case study from the Rhine delta. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:157212. [PMID: 35809733 DOI: 10.1016/j.scitotenv.2022.157212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/02/2022] [Accepted: 07/03/2022] [Indexed: 06/15/2023]
Abstract
Global climate change is manifest by local-scale changes in precipitation and temperature patterns, including the frequency of extreme weather events (EWEs). EWEs are associated with a myriad range of adverse environmental and societal consequences, including negative impacts to agriculture and food production. This study focuses on EWEs and their effect on adaptation strategies by potato and onion farmers in Zeeland, a Dutch coastal province in the Rhine delta that can serve as a model for other intensive agricultural landscapes in industrialized nations impacted by extreme weather events. The research approach combines quantitative trend analysis of long-term climatic data (temperature, precipitation) with a formal survey of Zeelandic farmers to statistically test four specific hypotheses regarding the frequency of EWEs in the Netherlands and farmer awareness and adaptation. Trend analyses reveal a strong (statistically significant) increase in extreme heat, a small increase in extreme rainfall and drought, and a strong decrease in frost occurrence. Survey results indicate Zeelandic farmers perceive high risk and awareness of changes to the frequency of EWEs. Many farmers have experienced financial losses from EWEs, particularly between 2017 and 2020. For extreme heat, droughts, and frost, the proportion of farmers that incurred financial damages annually is statistically correlated to the actual occurrence of EWEs. Farmers who incurred more financial losses between 2000 and 2020 due to heat and lack of frost had a higher risk perception of these extremes. Further, almost all farmers have already implemented one or more adaptation strategies. A third of surveyed farmers reduced or stopped with potato and onion cultivation in response to climate change and EWEs. Awareness, exposure to, and risk perception of EWEs contribute to adaptation support by farmers. The high perceived risk of climate change and EWEs among respondents and the high incidence of financial losses from extremes in the past two decades highlights the importance of adaptation in the agricultural sector, including in temperate regions where growing seasons are expanding. Study results support the current 'Rural Development Program' and future 'National Strategic Plan' policies in the Netherlands, both part of the European Union's Common Agricultural Policy (CAP), that provides accessibility to adaptation measures for farmers to avoid financial loss.
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Affiliation(s)
- Anoek J van Tilburg
- Institute of Environmental Studies, Vrije Universiteit Amsterdam, the Netherlands
| | - Paul F Hudson
- Program in Earth, Energy, and Sustainability, LUC The Hague, Leiden University, the Netherlands.
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Conte Keivabu R. Extreme Temperature and Mortality by Educational Attainment in Spain, 2012-2018. EUROPEAN JOURNAL OF POPULATION = REVUE EUROPEENNE DE DEMOGRAPHIE 2022; 38:1145-1182. [PMID: 36507237 PMCID: PMC9727019 DOI: 10.1007/s10680-022-09641-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 08/23/2022] [Indexed: 11/05/2022]
Abstract
Extreme temperatures are a threat to public health, increasing mortality in the affected population. Moreover, there is substantial research showing how age and gender shape vulnerabilities to this environmental risk. However, there is only limited knowledge on how socioeconomic status (SES), operationalized using educational attainment, stratifies the effect of extreme temperatures on mortality. Here, we address this link using Poisson regression and administrative data from 2012 to 2018 for 50 Spanish Provinces on individuals aged above 65 matched with meteorological data provided by the E-OBS dataset. In line with previous studies, results show that hot and cold days increase mortality. Results on the interaction between SES and extreme temperatures show a positive and significant effect of exposure to heat and cold for individuals with medium and low SES level. Conversely, for high SES individuals we do not find evidence of a robust association with heat or cold. We further investigate how the local climate moderates these associations. A warmer climate increases risks with exposures to low temperatures and vice versa for hot temperatures in the pooled sample. Moreover, we observe that results are mostly driven by low SES individuals being particularly vulnerable to heat in colder climates and cold in warmer climates. In conclusion, results highlight how educational attainment stratifies the effect of extreme temperatures and the relevance of the local climate in shaping risks of low SES individuals aged above 65.
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Affiliation(s)
- Risto Conte Keivabu
- Department of Social and Political Sciences, European University Institute, Via della Badia dei Rocettini 9, 50014, San Domenico di Fiesole, Italy.
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Guo YT, Bernard Goggins W, Chan EYY, Ho KF. Individual socioeconomic status as a modifier of the association between high ambient temperature and hospital admissions: a time series study in Hong Kong, 2010-2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:67353-67361. [PMID: 35524101 PMCID: PMC9492594 DOI: 10.1007/s11356-022-20512-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/25/2022] [Indexed: 06/14/2023]
Abstract
Few studies have examined individual socioeconomic status (SES) as a potential modifier of ambient temperature-health associations, especially for temperature-related hospitalizations. We fit penalized distributed lag non-linear models within generalized additive models to study the short-term associations (0-3 days) between temperature and hospital admissions stratified by common causes, age, and individual SES, as determined by whether patients received public assistance (PA) to cover their medical fee at the time of hospitalizations, during the hot season (May 15 to October 15) in Hong Kong for the years 2010-2019. We calculated the ratio of relative risk (RRR) and corresponding 95% confidence interval (CI) to statistically test the difference of the associations between PA groups. For 75 + patients, the PA group had significantly increased risks of hospitalizations at higher temperature for most causes, with relative risks (RR, 99th %ile vs. 25%ile) and 95% CIs of 1.138 (1.099, 1.179), 1.057 (1.008, 1.109), and 1.163 (1.094, 1.236) estimated for all non-cancer non-external, circulatory, and respiratory admissions, respectively. There were slight decreases of RRs with higher temperature for 75 + patients without PA. The strengths of temperature-hospitalization associations were strongly and significantly different between PA groups for all examined causes for 75 + patients, with the most considerable discrepancy found for ischemic heart disease (RRR = 1.266; 95% CI, 1.137, 1.410). Hospitalizations for patients aged 15-74 were less affected by heat, and the difference of the associations between groups was small. Individual SES is a significant modifier of high temperature-hospitalization associations in Hong Kong among the elderly. Public health interventions are needed to better protect this subpopulation from adverse health impacts of high temperature.
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Affiliation(s)
- Yi Tong Guo
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
| | - William Bernard Goggins
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Emily Ying Yang Chan
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kin Fai Ho
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
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Wu Y, Xu R, Yu W, Wen B, Li S, Guo Y. Economic burden of premature deaths attributable to non-optimum temperatures in Italy: A nationwide time-series analysis from 2015 to 2019. ENVIRONMENTAL RESEARCH 2022; 212:113313. [PMID: 35436452 DOI: 10.1016/j.envres.2022.113313] [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: 01/19/2022] [Revised: 03/21/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Human beings and society are experiencing substantial consequences caused by non-optimum temperatures. However, limited studies have assessed the economic burden of premature deaths attributable to non-optimum temperatures. OBJECTIVES To characterize the association between daily mean temperature and the economic burden of premature deaths. METHODS A total of 3 228 098 deaths were identified from a national mortality dataset in Italy during 2015 and 2019. We used the value of statistical life to quantify the economic losses of premature death. A two-stage time-series analysis was performed to evaluate the economic losses of premature deaths associated with non-optimum temperatures. Attributable burden for non-optimum temperatures compared with minimum risk temperature were estimated. Potential effect modifiers were further explored. RESULTS From 2015 to 2019, the economic loss of premature deaths due to non-optimum temperatures was $525.52 billion (95% CI: $461.84-$580.80 billion), with the attributable fraction of 5.74% (95% CI: 5.04%-6.34%). Attributable economic burden was largely due to moderate cold temperatures ($309.54 billion, 95% CI: $249.49-$357.34 billion). A higher economic burden was observed for people above the age of 65, accounting for 75.97% ($452.42, 95%CI: $406.97-$488.76 billion) of the total economic burden. In particular, higher fractions attributable to heat temperatures were observed for provinces with the lowest level of GDP per capita but the highest level of urbanization. DISCUSSION This study shows a considerable economic burden of premature deaths attributed to non-optimum temperatures. These figures can help inform tailored prevention to tackle the large economic burden imposed by non-optimum temperatures.
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Affiliation(s)
- Yao Wu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rongbin Xu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Wenhua Yu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Bo Wen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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Huang Z, Chan EYY, Wong CS, Zee BCY. Spatiotemporal relationship between temperature and non-accidental mortality: Assessing effect modification by socioeconomic status. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 836:155497. [PMID: 35483463 DOI: 10.1016/j.scitotenv.2022.155497] [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: 12/23/2021] [Revised: 04/20/2022] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Most published studies have assessed the overall health impact of temperature by using one-station or multiple-station averaged meteorological and air quality data. Concern has arisen about whether the temperature health impact is homogeneous across the whole territory geographically, since green space and socioeconomic factors may modify the impact. OBJECTIVE This study aims at investigating how small-area mortality is modified by local temperature and other meteorological, air quality, green space, and socioeconomic factors of small geographic units in a subtropical urban setting. METHODS Data on meteorological, air pollutants, and non-accidental mortality count in Hong Kong during 2006-2016 were obtained. Combined with green space and socioeconomic data, spatiotemporal analysis using Generalized Additive Mixed Models was conducted to examine the temperature-mortality relationship, adjusted for seasonality, long-term trend, other meteorological factors, pollutants, socioeconomic characteristics and green space. RESULTS Socioeconomic status was found to modify the temporal temperature-mortality relationship. A J-shape association was identified for most areas in Hong Kong, where a sharp increase of mortality was observed when daily minimum temperature dropped lower than the turning point. However, for people living in the most affluent areas, after the initial increase there was a decrease of mortality for colder days. Besides, when comparing the two spatiotemporal models (i.e. using nearby or central temperature monitoring station), while leaving the other predictors unchanged, this study showed that there was little difference in the overall model performances. CONCLUSION This study indicated that the daily fluctuation of mortality was associated with daily temperature, while the spatial variation of mortality within this city could be explained by the geographical distribution of green space and socioeconomic factors. Since people living in affluent areas were found to be more tolerant of cold temperatures, it would be more efficient to tailor cold temperature health education and warning information for socioeconomically deprived communities.
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Affiliation(s)
- Zhe Huang
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong, China
| | - Emily Ying Yang Chan
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong, China; GX Foundation, Hong Kong, China.
| | - Chi Shing Wong
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong, China
| | - Benny Chung Ying Zee
- Centre for Clinical Research and Biostatistics (CCRB), The Chinese University of Hong Kong, Hong Kong, China; Office of Research and Knowledge Transfer Services (ORKTS), The Chinese University of Hong Kong, Hong Kong, China
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Huang Z, Chan EYY, Wong CS, Liu S, Zee BCY. Health Disparity Resulting from the Effect of Built Environment on Temperature-Related Mortality in a Subtropical Urban Setting. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148506. [PMID: 35886357 PMCID: PMC9322054 DOI: 10.3390/ijerph19148506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/04/2022] [Accepted: 07/08/2022] [Indexed: 11/22/2022]
Abstract
Whereas previous studies have assessed the overall health impact of temperature in Hong Kong, the aim of this study was to investigate whether the health impact is modified by local temperature of small geographic units, which may be related to the diverse socioeconomic characteristics of these units. The effects of local temperature on non-accidental and cause-specific mortality were analyzed using Bayesian spatial models at a small-area level, adjusting for potential confounders, i.e., area-level air pollutants, socioeconomic status, and green space, as well as spatial dependency. We found that a 10% increase in green space density was associated with an estimated 4.80% decrease in non-accidental mortality risk and a 5.75% decrease in cardiovascular disease mortality risk in Hong Kong, whereas variation in local annual temperature did not significantly contribute to mortality. We also found that the spatial variation of mortality within this city could be explained by the geographic distribution of green space and socioeconomic factors rather than local temperature or air pollution. The findings and methodology of this study may help to further understanding and investigation of social and structural determinants of health disparities, particularly place-based built environment across class-based small geographic units in a city, taking into account the intersection of multiple factors from individual to population levels.
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Affiliation(s)
- Zhe Huang
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China; (Z.H.); (C.-S.W.); (S.L.)
| | - Emily Ying-Yang Chan
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China; (Z.H.); (C.-S.W.); (S.L.)
- GX Foundation, Hong Kong SAR, China
- Correspondence:
| | - Chi-Shing Wong
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China; (Z.H.); (C.-S.W.); (S.L.)
| | - Sida Liu
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China; (Z.H.); (C.-S.W.); (S.L.)
- GX Foundation, Hong Kong SAR, China
| | - Benny Chung-Ying Zee
- Centre for Clinical Research and Biostatistics (CCRB), The Chinese University of Hong Kong, Hong Kong SAR, China;
- Office of Research and Knowledge Transfer Services (ORKTS), The Chinese University of Hong Kong, Hong Kong SAR, China
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Demoury C, Aerts R, Vandeninden B, Van Schaeybroeck B, De Clercq EM. Impact of Short-Term Exposure to Extreme Temperatures on Mortality: A Multi-City Study in Belgium. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19073763. [PMID: 35409447 PMCID: PMC8997565 DOI: 10.3390/ijerph19073763] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/14/2022] [Accepted: 03/18/2022] [Indexed: 12/11/2022]
Abstract
In light of climate change, health risks are expected to be exacerbated by more frequent high temperatures and reduced by less frequent cold extremes. To assess the impact of different climate change scenarios, it is necessary to describe the current effects of temperature on health. A time-stratified case-crossover design fitted with conditional quasi-Poisson regressions and distributed lag non-linear models was applied to estimate specific temperature-mortality associations in nine urban agglomerations in Belgium, and a random-effect meta-analysis was conducted to pool the estimates. Based on 307,859 all-cause natural deaths, the mortality risk associated to low temperature was 1.32 (95% CI: 1.21-1.44) and 1.21 (95% CI: 1.08-1.36) for high temperature relative to the minimum mortality temperature (23.1 °C). Both cold and heat were associated with an increased risk of cardiovascular and respiratory mortality. We observed differences in risk by age category, and women were more vulnerable to heat than men. People living in the most built-up municipalities were at higher risk for heat. Air pollutants did not have a confounding effect. Evidence from this study helps to identify specific populations at risk and is important for current and future public health interventions and prevention strategies.
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Affiliation(s)
- Claire Demoury
- Risk and Health Impact Assessment, Sciensano, 1050 Brussels, Belgium; (R.A.); (B.V.); (E.M.D.C.)
- Correspondence:
| | - Raf Aerts
- Risk and Health Impact Assessment, Sciensano, 1050 Brussels, Belgium; (R.A.); (B.V.); (E.M.D.C.)
- Division Ecology, Evolution and Biodiversity Conservation, University of Leuven (KU Leuven), 3001 Leuven, Belgium
- Center for Environmental Sciences, University of Hasselt, 3590 Hasselt, Belgium
| | - Bram Vandeninden
- Risk and Health Impact Assessment, Sciensano, 1050 Brussels, Belgium; (R.A.); (B.V.); (E.M.D.C.)
| | - Bert Van Schaeybroeck
- Department of Meteorological Research and Development, Royal Meteorological Institute of Belgium, 1180 Brussels, Belgium;
| | - Eva M. De Clercq
- Risk and Health Impact Assessment, Sciensano, 1050 Brussels, Belgium; (R.A.); (B.V.); (E.M.D.C.)
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Cong J, Wang LB, Liu FJ, Qian ZM, McMillin SE, Vaughn MG, Song Y, Wang S, Chen S, Xiong S, Shen X, Sun X, Zhou Y, Ho HC, Dong GH. Associations between metabolic syndrome and anthropogenic heat emissions in northeastern China. ENVIRONMENTAL RESEARCH 2022; 204:111974. [PMID: 34480945 DOI: 10.1016/j.envres.2021.111974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/20/2021] [Accepted: 08/24/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Recent research attention has been paid to anthropogenic heat emissions (AE), temperature increase generated by human activity such as lighting, transportation, manufacturing, construction, and building climate controls. However, there is no epidemiological data available to investigate the association between anthropogenic heat emissions and metabolic syndrome (MetS), a cluster of conditions that increase risk of stroke, heart disease and diabetes. OBJECTIVE To explore the relationships between AE and MetS in China. METHODS We recruited 15,477 adults from the 33 Communities Chinese Health Study, a cross-sectional study in northeastern China. We retrieved anthropogenic heat flux by collecting socio-economic and energy consumption data as well as satellite-based nighttime light and Normalized Difference Vegetation Index datasets, including emissions from buildings, transportation, human metabolism, and industries. We also measured MetS components consisting of triglycerides, high density lipoprotein cholesterol, fasting glucose, systolic blood pressure, and diastolic blood pressure, and waist circumference. Restricted cubic spline models were applied to assess the associations between AE and MetS. RESULTS The median flux of total AE was 30.98 W/m2 and industrial AE was the dominant contributor (87.64%). The adjusted odds ratio and 95% confidence interval (CI) of MetS for the 75th and 95th percentiles of the total AE against the threshold were 1.29 (95% CI: 1.21, 1.38) and 1.65 (95% CI: 1.47, 1.85). Greater AE was associated with higher odds of MetS in a dose-response pattern, and the lowest point of U-shape curve indicated the threshold effect. Participants who are young and middle-aged exhibited stronger associations between AE and MetS. CONCLUSIONS Our novel findings reveal that AE are positively associated with MetS and that associations are modified by age. Further investigations into the mechanisms of the effects are needed.
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Affiliation(s)
- Jianping Cong
- Department of Internal Medicine, Shenyang Women's and Children's Hospital, Shenyang, 110011, China; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Le-Bing Wang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Fang-Jie Liu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63103, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63103, USA
| | - Yimeng Song
- Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China
| | - Shasha Wang
- College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China
| | - ShanShan Chen
- Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing, 100871, China
| | - Shimin Xiong
- Department of Epidemiology, School of Public Health, Zunyi Medical University, Zunyi, 563060, China
| | - Xubo Shen
- Department of Epidemiology, School of Public Health, Zunyi Medical University, Zunyi, 563060, China
| | - Xiao Sun
- Department of Internal Medicine, Shenyang Women's and Children's Hospital, Shenyang, 110011, China.
| | - Yuanzhong Zhou
- Department of Epidemiology, School of Public Health, Zunyi Medical University, Zunyi, 563060, China.
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China.
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
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Son JY, Choi HM, Miranda ML, Bell ML. Exposure to heat during pregnancy and preterm birth in North Carolina: Main effect and disparities by residential greenness, urbanicity, and socioeconomic status. ENVIRONMENTAL RESEARCH 2022; 204:112315. [PMID: 34742709 PMCID: PMC8671314 DOI: 10.1016/j.envres.2021.112315] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 10/25/2021] [Accepted: 10/28/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Although previous literature suggested that several factors may be associated with higher risk of adverse health outcomes related to heat, research is limited for birth outcomes. OBJECTIVES We investigated associations between exposure to heat/heat waves during the last week of gestation and preterm birth (PTB) in North Carolina (NC) and evaluated effect modification by residential greenness, urbanicity, and socioeconomic status (SES). METHODS We obtained individual-level NC birth certificate data for May-September 2003-2014. We estimated daily mean temperature at each maternal residential address using Parameter-elevation Regressions on Independent Slopes Model (PRISM) data. We created 3 definitions of heat waves (daily temperature ≥95th, 97th, 99th percentile for NC warm season temperature, for ≥2 consecutive days). Normalized Difference Vegetation Index (NDVI) was used to assess residential greenness. Community-level modifiers (e.g., income, urbanicity) were considered. We applied Cox proportional hazard models to estimate the association between exposure to heat/heat waves and PTB, controlling for covariates. Stratified analyses were conducted to evaluate whether the association between heat and PTB varied by several individual and community characteristics. RESULTS Of the 546,441 births, 8% were preterm. Heat exposure during the last week before delivery was significantly associated with risk of PTB. The hazard ratio for a 1 °C increase in temperature during the last week before delivery was 1.01 (95% CI: 1.00, 1.02). Higher heat-PTB risk was associated with some characteristics (e.g., areas that were urbanized, low SES, or in the Coastal Plain). We also found significant PTB-heat risk in areas with low greenness for urbanized area. For heat waves, we did not find significantly positive associations with PTB. DISCUSSION Findings provide evidence that exposure to heat during pregnancy increases risk of PTB and suggest disparities in these risks. Our results have implications for future studies of disparity in heat and birth outcomes associations.
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Affiliation(s)
- Ji-Young Son
- School of the Environment, Yale University, New Haven, CT, USA.
| | | | - Marie Lynn Miranda
- Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, USA
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Effects of Urban Landscape and Sociodemographic Characteristics on Heat-Related Health Using Emergency Medical Service Incidents. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031287. [PMID: 35162309 PMCID: PMC8835151 DOI: 10.3390/ijerph19031287] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/11/2022] [Accepted: 01/21/2022] [Indexed: 11/16/2022]
Abstract
It is well known that extremely hot weather causes heat-related health issues. Health problems, especially in urban areas, are becoming increasingly important due to urban heat island effect. Understanding the impact of neighborhood characteristics is important for research into the relationship between thermal environment and human health. The objectives of this study were to explore the urban landscape and sociodemographic characteristics affecting heat-related health and identify spatial inequalities for vulnerable groups. A total of 27,807 heat-related EMS incidents were used at the census block group level (N = 285). We used land cover database and Landsat satellite images for urban landscape variables and used 2019 U.S. Census data for sociodemographic variables. Negative binomial regression was used to identify the neighborhood variables associated with the heat-related EMS incidents in each block group. Heat-related health has been alleviated in block groups with high green areas. However, the negative effects of thermal environments on human health were higher in areas with a high percentage of impervious surface, over 65 years, non-white people, no high school diploma, or unemployment. The results indicate that heat-related health problems can be addressed through prevention strategies for block group variables. Local intervention efforts to solve health issues should be targeted at more vulnerable areas and groups.
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Deng X, Chen Z, Zou Y, He Y, Chen S, Wang Q, Xing D, Zhang Y. The effect of daily mean temperature on hand, foot and mouth disease and the source of regional heterogeneity in Chongqing, China, 2010-2019. Environ Health Prev Med 2022; 27:47. [PMID: 36517013 PMCID: PMC9792571 DOI: 10.1265/ehpm.22-00133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Hand, foot and mouth disease (HFMD) is a serious infectious disease which has become a public health problem. A multi-regional study was conducted in this study to explore the relationship between temperature and HFMD in different regions and the source of heterogeneity, and further detect the effect modifiers such as socio-economic factors, medical and health factors and meteorological factors. METHODS The data on daily reported HFMD cases and meteorological data from 2010 to 2019 in Chongqing were collected. Thirty-eight districts and counties of Chongqing were divided into 6 regions. The distributed lag nonlinear model (DLNM) was applied to assess the effect of daily mean temperature on HFMD at region level with the pooled effect estimates from multivariate meta-regression model analysis. Stratified analyses by gender, age and children's type were also conducted. Potential modifiers were considered in meta regression to explore the source of heterogeneity. RESULTS There were nonlinear relationships with an inverted V-shape between temperature and HFMD. A maximum cumulative relative risk (CRR) of 1.22 (95% confidence interval (CI): 1.12-1.34) peaked at 23.8 °C, and the risk appeared immediately and lasted for the whole 14 days. Compared with other groups, warm temperature had a stronger effect on children aged 0-1 and scattered children, while cold temperature had a stronger effect on female, children aged 3-6 and childcare children with an M-shape. We found that socio-economic factors, medical health factors and meteorological factors were significantly associated with heterogeneity. Density of medical technical personnel, urbanization rate and density of health care institutions were the main modifiers for explaining heterogeneity of 26.10%, 24.90% and 24.86% respectively which were revealed by meta-analysis. CONCLUSIONS There was a significant nonlinear correlation between temperature and HFMD. Compared with other groups, children aged 0-1 and scattered children were more susceptible to warm temperature, while female, children aged 3-6 and childcare children were more susceptible to cold temperature. Socio-economic factors, medical health factors and meteorological factors may be the source of the heterogeneity. Therefore, local governments should consider different temperature-HFMD relationships between different regions and populations when formulating appropriate preventive measures.
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Affiliation(s)
- Xinyi Deng
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Zhiyi Chen
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Yang Zou
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Ying He
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Saijuan Chen
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Qiuting Wang
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Dianguo Xing
- Office of Health Emergency, Chongqing Municipal Health Commission, Chongqing, China
| | - Yan Zhang
- School of Public Health, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
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Renteria R, Grineski S, Collins T, Flores A, Trego S. Social disparities in neighborhood heat in the Northeast United States. ENVIRONMENTAL RESEARCH 2022; 203:111805. [PMID: 34339695 DOI: 10.1016/j.envres.2021.111805] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/22/2021] [Accepted: 07/28/2021] [Indexed: 05/28/2023]
Abstract
Upward trends in ground-level warming are expected to intensify, affecting the health of human populations. Specific to the United States, the Northeast (NE) region is one of the most vulnerable to these warming trends. Previous research has found social disparities in the distribution of heat, while recent studies have examined associations between metropolitan racial/ethnic segregation and heat exposures. We advance upon previous research by including a novel measure of neighborhood-level racial/ethnic diversity in our examination of social inequalities in heat for NE neighborhoods (census tracts). We paired data derived from the United States Geological Survey on mean land surface temperature (LST) for the summer months of 2013-2017 with sociodemographic data from the American Community Survey (5-year estimates, 2013-2017). We use multivariable generalized estimating equations (GEEs) that adjust for geographic clustering. Findings reveal heat exposure disparities across NE neighborhoods. Neighborhoods with higher proportions of racial/ethnic minorities, people of lower socioeconomic status, households without access to an automobile, and greater diversity experience higher temperatures. Diversity was more strongly related to increased heat in neighborhoods with lower Latinx and lower Black composition suggesting that neighborhood homogeneity confers a differentially greater cooling effect based on higher White composition. The social groups that carry the unequal thermal burdens are also those who are most vulnerable. Interventions to reduce heat risks in the NE should therefore prioritize reducing the burden on historically disadvantaged communities.
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Affiliation(s)
- Roger Renteria
- Department of Sociology, University of Utah, USA; Center for Natural and Technological Hazards, University of Utah, USA
| | - Sara Grineski
- Department of Sociology, University of Utah, USA; Center for Natural and Technological Hazards, University of Utah, USA.
| | - Timothy Collins
- Department of Geography, University of Utah, USA; Center for Natural and Technological Hazards, University of Utah, USA
| | - Aaron Flores
- Department of Geography, University of Utah, USA; Center for Natural and Technological Hazards, University of Utah, USA
| | - Shaylynn Trego
- Department of Geography, University of Utah, USA; Center for Natural and Technological Hazards, University of Utah, USA
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Wang L, Xu C, Xiao G, Qiao J, Zhang C. Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing-Tianjin-Hebei region of China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2021; 65:1919-1927. [PMID: 34050434 DOI: 10.1007/s00484-021-02148-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 12/29/2020] [Accepted: 05/15/2021] [Indexed: 06/12/2023]
Abstract
Previous studies indicate that the incidence of bacillary dysentery is closely related to meteorological factors. However, the impact of temperature and the spatial heterogeneity of the disease in regions of unbalanced socioeconomic development remains unclear. Therefore, this research collected data for 29,639 daily bacillary dysentery cases in children under 5 years of age, as well as the meteorological variables from China's Beijing-Tianjin-Hebei region, to analyze the spatial pattern of bacillary dysentery and reveal its nonlinear association with temperature. The SatScan method was employed first, to detect the spatial heterogeneity of the disease risk, and then the distributed lag nonlinear model (DLNM) was used to analyze the relationships between the daily minimum, mean, and maximum temperatures and bacillary dysentery in the stratified heterogeneous regions. The results indicated that bacillary dysentery incidence presented statistically significant spatial heterogeneity. The area of highest risk was found to be Beijing and its neighboring regions, which have high population densities. There was also a positive association between bacillary dysentery and temperature. Hotter temperatures were accompanied by higher relative risks. In the most likely spatial cluster region, the excess risk (ER) values for a 1°C rise in minimum, mean, and maximum temperatures above the median were 4.65%, 11.30%, and 19.21%, respectively. The effect of temperature on bacillary dysentery peaked at a lag of 3 to 4 days. The findings of this study will aid risk assessments and early warning systems for bacillary dysentery.
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Affiliation(s)
- Li Wang
- College of Environment and Planning, Henan University, Kaifeng, 475001, China
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, 100101, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, 475001, China
| | - Chengdong Xu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Gexin Xiao
- National Institute of Hospital Administration, Beijing, 100044, China.
| | - Jiajun Qiao
- College of Environment and Planning, Henan University, Kaifeng, 475001, China
| | - Chaozheng Zhang
- China National Center for Food Safety Risk Assessment, Beijing, 100022, China
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Bongioanni P, Del Carratore R, Corbianco S, Diana A, Cavallini G, Masciandaro SM, Dini M, Buizza R. Climate change and neurodegenerative diseases. ENVIRONMENTAL RESEARCH 2021; 201:111511. [PMID: 34126048 DOI: 10.1016/j.envres.2021.111511] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 05/25/2021] [Accepted: 06/08/2021] [Indexed: 06/12/2023]
Abstract
The climate change induced global warming, and in particular the increased frequency and intensity of heat waves, have been linked to health problems. Among them, scientific works have been reporting an increased incidence of neurological diseases, encompassing also neurodegenerative ones, such as Dementia of Alzheimer's type, Parkinson's Disease, and Motor Neuron Diseases. Although the increase in prevalence of neurodegenerative diseases is well documented by literature reports, the link between global warming and the enhanced prevalence of such diseases remains elusive. This is the main theme of our work, which aims to examine the connection between high temperature exposure and neurodegenerative diseases. Firstly, we evaluate the influence of high temperatures exposure on the pathophysiology of these disorders. Secondly, we discuss its effects on the thermoregulation, already compromised in affected patients, and its interference with processes of excitotoxicity, oxidative stress and neuroinflammation, all of them related with neurodegeneration. Finally, we investigate chronic versus acute stressors on body warming, and put forward a possible interpretation of the beneficial or detrimental effects on the brain, which is responsible for the incidence or progression of neurological disorders.
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Affiliation(s)
- Paolo Bongioanni
- Severe Acquired Brain Injuries Dpt Section, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; NeuroCare Onlus, Pisa, Italy
| | | | - Silvia Corbianco
- Interdepartmental Research Centre on Biology and Pathology of Aging, University of Pisa, Italy; Human Movement and Rehabilitation Research Laboratory, Pisa, Italy
| | - Andrea Diana
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Gabriella Cavallini
- Interdepartmental Research Centre on Biology and Pathology of Aging, University of Pisa, Italy
| | - Silvia M Masciandaro
- NeuroCare Onlus, Pisa, Italy; Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Marco Dini
- Interdepartmental Research Centre on Biology and Pathology of Aging, University of Pisa, Italy; Human Movement and Rehabilitation Research Laboratory, Pisa, Italy
| | - Roberto Buizza
- Scuola Superiore Sant'Anna and Centre for Climate Change Studies and Sustainable Actions (3CSA), Pisa, Italy
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Amiri M, Peinkhofer C, Othman MH, De Vecchi T, Nersesjan V, Kondziella D. Global warming and neurological practice: systematic review. PeerJ 2021; 9:e11941. [PMID: 34430087 PMCID: PMC8349167 DOI: 10.7717/peerj.11941] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 07/19/2021] [Indexed: 11/20/2022] Open
Abstract
Background Climate change, including global warming, will cause poorer global health and rising numbers of environmental refugees. As neurological disorders account for a major share of morbidity and mortality worldwide, global warming is also destined to alter neurological practice; however, to what extent and by which mechanisms is unknown. We aimed to collect information about the effects of ambient temperatures and human migration on the epidemiology and clinical manifestations of neurological disorders. Methods We searched PubMed and Scopus from 01/2000 to 12/2020 for human studies addressing the influence of ambient temperatures and human migration on Alzheimer’s and non-Alzheimer’s dementia, epilepsy, headache/migraine, multiple sclerosis, Parkinson’s disease, stroke, and tick-borne encephalitis (a model disease for neuroinfections). The protocol was pre-registered with PROSPERO (2020 CRD42020147543). Results Ninety-three studies met inclusion criteria, 84 of which reported on ambient temperatures and nine on migration. Overall, most temperature studies suggested a relationship between increasing temperatures and higher mortality and/or morbidity, whereas results were more ambiguous for migration studies. However, we were unable to identify a single adequately designed study addressing how global warming and human migration will change neurological practice. Still, extracted data indicated multiple ways by which these aspects might alter neurological morbidity and mortality soon. Conclusion Significant heterogeneity exists across studies with respect to methodology, outcome measures, confounders and study design, including lack of data from low-income countries, but the evidence so far suggests that climate change will affect the practice of all major neurological disorders in the near future. Adequately designed studies to address this issue are urgently needed, requiring concerted efforts from the entire neurological community.
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Affiliation(s)
- Moshgan Amiri
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Costanza Peinkhofer
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Medical Faculty, University of Trieste, Trieste, Italy
| | - Marwan H Othman
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Teodoro De Vecchi
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Medical Faculty, University of Trieste, Trieste, Italy
| | - Vardan Nersesjan
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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McDermott-Levy R, Scolio M, Shakya KM, Moore CH. Factors That Influence Climate Change-Related Mortality in the United States: An Integrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18158220. [PMID: 34360518 PMCID: PMC8345936 DOI: 10.3390/ijerph18158220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/23/2021] [Accepted: 07/29/2021] [Indexed: 12/02/2022]
Abstract
Global atmospheric warming leads to climate change that results in a cascade of events affecting human mortality directly and indirectly. The factors that influence climate change-related mortality within the peer-reviewed literature were examined using Whittemore and Knafl’s framework for an integrative review. Ninety-eight articles were included in the review from three databases—PubMed, Web of Science, and Scopus—with literature filtered by date, country, and keywords. Articles included in the review address human mortality related to climate change. The review yielded two broad themes in the literature that addressed the factors that influence climate change-related mortality. The broad themes are environmental changes, and social and demographic factors. The meteorological impacts of climate change yield a complex cascade of environmental and weather events that affect ambient temperatures, air quality, drought, wildfires, precipitation, and vector-, food-, and water-borne pathogens. The identified social and demographic factors were related to the social determinants of health. The environmental changes from climate change amplify the existing health determinants that influence mortality within the United States. Mortality data, national weather and natural disaster data, electronic medical records, and health care provider use of International Classification of Disease (ICD) 10 codes must be linked to identify climate change events to capture the full extent of climate change upon population health.
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Affiliation(s)
- Ruth McDermott-Levy
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA 19085, USA
- Correspondence:
| | - Madeline Scolio
- Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA; (M.S.); (K.M.S.)
| | - Kabindra M. Shakya
- Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA; (M.S.); (K.M.S.)
| | - Caroline H. Moore
- Georgia Baptist College of Nursing, Mercer University, Atlanta, GA 30341, USA;
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Li Z, Hu J, Meng R, He G, Xu X, Liu T, Zeng W, Li X, Xiao J, Huang C, Du Y, Ma W. The association of compound hot extreme with mortality risk and vulnerability assessment at fine-spatial scale. ENVIRONMENTAL RESEARCH 2021; 198:111213. [PMID: 33957137 DOI: 10.1016/j.envres.2021.111213] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/12/2021] [Accepted: 04/20/2021] [Indexed: 06/12/2023]
Abstract
The frequency and intensity of compound hot extremes will be likely to increase in the context of global warming. Epidemiological studies have demonstrated the adverse effect of simple hot extreme events on mortality, but little is known about the effects of compound hot extremes on mortality. Daily meteorological, demographic, and mortality data during 2011-2017 were collected from 160 streets in Guangzhou City, China. We used distributed lag non-linear model (DLNM) to analyze the associations of different hot extremes with mortality risk in each street. Street-specific associations were then combined using a meta-analysis approach. To assess the spatial distribution of vulnerability to compound hot extremes, vulnerable characteristics at street level were selected using random forest model, and then we calculated and mapped spatial vulnerability index (SVI) at each street in Guangzhou. At street level, compared with normal day, compound hot extreme significantly increased mortality risk (relative risk(RR)=1.43, 95%CI:1.28-1.59) with higher risk for female (RR=1.54 [1.35-1.76]) and the elderly(RR for aged 65-74=1.41 [1.14-1.74]; RR for ≥75years=1.63 [1.45-1.84]) than male (RR=1.32 [1.15-1.52]) and population <65 years (RR=1.01 [0.83-1.22]). Areas with high vulnerability were in the urban center and the edge of suburban. High proportion of population over 64 years old in urban center, and high proportions of outdoor workers and population with illiteracy in suburban areas were the determinants of spatial vulnerability. We found that compound hot extreme significantly increased mortality risk at street level, which is modified by socio-economic and demographic factors. Our findings help allocate resources targeting vulnerable areas at fine-spatial scale.°.
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Affiliation(s)
- Zhixing Li
- Department of Public Health, School of Medicine, Jinan University, Guangzhou, 510630, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Ruilin Meng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Xiaojun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yaodong Du
- Guangdong Provincial Climate Center, Guangzhou, 510080, China
| | - Wenjun Ma
- Department of Public Health, School of Medicine, Jinan University, Guangzhou, 510630, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
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44
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Kua KP, Lee S. The influence of residential greenness on mortality in the Asia-Pacific region: a systematic review and meta-analysis. Perspect Public Health 2021; 141:342-353. [PMID: 34120524 DOI: 10.1177/17579139211011496] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AIMS To critically appraise the evidence of the impact of exposure to salutogenic green environment on mortality, which is an important endpoint in epidemiological and clinical studies. METHODS We searched for studies published and indexed in three databases (PubMed, AMED, and CINAHL Plus) from inception until 31 March 2020, complemented with a search of cited literature for articles describing the effects of greenness on mortality in Asia-Pacific region. Eligible articles were screened and data were extracted independently by two reviewers. A random-effects model was utilised to obtain pool hazard ratio (HR) and risk ratio of all-cause mortality outcome. RESULTS The search identified 3239 studies, of which 20 studies reporting 133,363 participants from longitudinal cohort studies and 202 million people from population-based prevalence studies were included in the review. The majority of the studies (60%) were conducted in high-income countries in Asia-Pacific. All participants of the longitudinal cohort studies were aged 60 years or older, whereas the prevalence studies involved people of all age groups. A significant protective association of green environment exposure with all-cause mortality was reported in 18 studies. Pooled results from five studies showed increased level of greenness exposure was associated with a significant decrease in all-cause mortality (pooled HR = 0.97; 95% confidence interval (CI) = 0.93 to 1.02; p < 0.01; I²= 87.8%). Meta-analysis of total number of deaths in different quartiles of green spaces noted decreased risks of mortality with all causes of death with increased surrounding greenness. CONCLUSIONS Some limited evidence suggests that populations exposed to the greener environment have a lower risk of mortality, implying the potential role of greenness in increasing longevity. Further studies with standardised design and outcome reporting should be conducted in low- and middle-income countries and in populations of low socioeconomic status to glean more generalisable and complete evidence for public health policy implications.
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Affiliation(s)
- K P Kua
- Puchong Health Clinic, Petaling District Health Office, Ministry of Health Malaysia, Petaling, Selangor, Malaysia
| | - Swh Lee
- School of Pharmacy, Monash University, Subang Jaya, Selangor, Malaysia; Asian Centre for Evidence Synthesis in Population, Implementation, and Clinical Outcomes (PICO), Health and Well-Being Cluster, Global Asia in the 21st Century (GA21) Platform, Monash University, Subang Jaya, Selangor, Malaysia; Gerontechnology Laboratory, Global Asia in the 21st Century (GA21) Platform, Monash University, Subang Jaya, Selangor, Malaysia; Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, Malaysia
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Cao R, Wang Y, Huang J, He J, Ponsawansong P, Jin J, Xu Z, Yang T, Pan X, Prapamontol T, Li G. The Mortality Effect of Apparent Temperature: A Multi-City Study in Asia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:4675. [PMID: 33924779 PMCID: PMC8124769 DOI: 10.3390/ijerph18094675] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 12/22/2022]
Abstract
(1) Background: The health effect of temperature has become a rising public health topic. The objective of this study is to assess the association between apparent temperature and non-accidental deaths, and the mortality burden attributed to cold and heat temperature; (2) Methods: The daily data on temperature and deaths were collected from 10 cities in Thailand, Korea and China. We fitted a time-series regression with a distributed lag nonlinear model (DLNM) to derive the health risk of temperature for each city and then pooled them to get the overall cumulative risk by multivariate meta-analysis. Additionally, we calculated the attributable fraction of deaths for heat and cold, which was defined as temperatures above and below minimum-mortality temperature (MMT); (3) Results: There are regional heterogeneities in the minimum mortality percentiles (MMP) and attributable fractions for different countries. The MMP varied from about the 5-10th percentile in Thailand to 63-93rd percentile in China and Korea. The attributable fractions of the total deaths due to short-term exposure to temperature in Asia is 7.62%, of which the cold effect (6.44%) is much higher than the heat effect (1.18%); (4) Conclusions: Our study suggested that apparent temperature was associated with an increase in non-accidental mortality. Most of the temperature-related mortality burden was attributable to cold, except for Thailand.
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Affiliation(s)
- Ru Cao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Yuxin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Jie He
- Peking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing 100191, China;
| | - Pitakchon Ponsawansong
- Environment and Health Research Unit, Research Institute for Health Science, Chiang Mai University, Chiang Mai 50200, Thailand; (P.P.); (T.P.)
| | - Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Zhihu Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Teng Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
- Environment and Health Research Unit, Research Institute for Health Science, Chiang Mai University, Chiang Mai 50200, Thailand; (P.P.); (T.P.)
| | - Tippawan Prapamontol
- Environment and Health Research Unit, Research Institute for Health Science, Chiang Mai University, Chiang Mai 50200, Thailand; (P.P.); (T.P.)
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
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Yu J, Castellani K, Forysinski K, Gustafson P, Lu J, Peterson E, Tran M, Yao A, Zhao J, Brauer M. Geospatial indicators of exposure, sensitivity, and adaptive capacity to assess neighbourhood variation in vulnerability to climate change-related health hazards. Environ Health 2021; 20:31. [PMID: 33752667 PMCID: PMC7986027 DOI: 10.1186/s12940-021-00708-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 02/25/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Although the frequency and magnitude of climate change-related health hazards (CCRHHs) are likely to increase, the population vulnerabilities and corresponding health impacts are dependent on a community's exposures, pre-existing sensitivities, and adaptive capacities in response to a hazard's impact. To evaluate spatial variability in relative vulnerability, we: 1) identified climate change-related risk factors at the dissemination area level; 2) created actionable health vulnerability index scores to map community risks to extreme heat, flooding, wildfire smoke, and ground-level ozone; and 3) spatially evaluated vulnerability patterns and priority areas of action to address inequity. METHODS A systematic literature review was conducted to identify the determinants of health hazards among populations impacted by CCRHHs. Identified determinants were then grouped into categories of exposure, sensitivity, and adaptive capacity and aligned with available data. Data were aggregated to 4188 Census dissemination areas within two health authorities in British Columbia, Canada. A two-step principal component analysis (PCA) was then used to select and weight variables for each relative vulnerability score. In addition to an overall vulnerability score, exposure, adaptive capacity, and sensitivity sub-scores were computed for each hazard. Scores were then categorised into quintiles and mapped. RESULTS Two hundred eighty-one epidemiological papers met the study criteria and were used to identify 36 determinant indicators that were operationalized across all hazards. For each hazard, 3 to 5 principal components explaining 72 to 94% of the total variance were retained. Sensitivity was weighted much higher for extreme heat, wildfire smoke and ground-level ozone, and adaptive capacity was highly weighted for flooding vulnerability. There was overall varied contribution of adaptive capacity (16-49%) across all hazards. Distinct spatial patterns were observed - for example, although patterns varied by hazard, vulnerability was generally higher in more deprived and more outlying neighbourhoods of the study region. CONCLUSIONS The creation of hazard and category-specific vulnerability indices (exposure, adaptive capacity and sensitivity sub-scores) supports evidence-based approaches to prioritize public health responses to climate-related hazards and to reduce inequity by assessing relative differences in vulnerability along with absolute impacts. Future studies can build upon this methodology to further understand the spatial variation in vulnerability and to identify and prioritise actionable areas for adaptation.
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Affiliation(s)
- Jessica Yu
- School of Population and Public Health, The University of British Columbia (UBC), 2206 East Mall, Vancouver, British Columbia V6T 1Z3 Canada
| | - Kaitlin Castellani
- Faculty of Forestry, The University of British Columbia, Forest Sciences Centre, 2424 Main Mall, Vancouver, BC V6T 1Z4 Canada
| | - Krista Forysinski
- Institute for Resources, Environment and Sustainability, The University of British Columbia, 429-2202 Main Mall, Vancouver, British Columbia V6T 1Z3 Canada
| | - Paul Gustafson
- Department of Statistics, The University of British Columbia, 3182 Earth Sciences Building, 2207 Main Mall, Vancouver, British Columbia V6T 1Z3 Canada
| | - James Lu
- Vancouver Coastal Health, 601 West Broadway, 11th floor, Vancouver, British Columbia V5Z 4C2 Canada
| | - Emily Peterson
- Vancouver Coastal Health, 601 West Broadway, 11th floor, Vancouver, British Columbia V5Z 4C2 Canada
| | - Martino Tran
- School of Community and Regional Planning, The University of British Columbia, 433 - 6333 Memorial Road, Vancouver, British Columbia V6T 1Z3 Canada
| | - Angela Yao
- School of Population and Public Health, The University of British Columbia (UBC), 2206 East Mall, Vancouver, British Columbia V6T 1Z3 Canada
| | - Jingxuan Zhao
- Faculty of Medicine, The University of British Columbia, 317 - 2194 Health Sciences Mall, Vancouver, British Columbia V6T 1Z3 Canada
| | - Michael Brauer
- School of Population and Public Health, The University of British Columbia (UBC), 2206 East Mall, Vancouver, British Columbia V6T 1Z3 Canada
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Koizia LJ, Dani M, Brown H, Lee M, Reilly P, Fertleman MB. Does the Weather Contribute to Admissions of Neck of Femur Fractures? Geriatr Orthop Surg Rehabil 2021; 12:2151459320987702. [PMID: 33796342 PMCID: PMC7968035 DOI: 10.1177/2151459320987702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 11/12/2020] [Accepted: 12/17/2020] [Indexed: 11/28/2022] Open
Abstract
Background: The effects of weather on overall mortality are well documented. Anecdotally, icy conditions are perceived to result in more falls and admissions for neck of femur (NOF) fractures. The aim of this pilot study was to determine whether relationships could be extracted or at least not ruled out by analysing a small dataset, and so give impetus to a larger project. Methods: Seven trauma units across North West London were identified and NOF fracture data extracted for 5 years. Visual inspection of the time series, consideration of the weather on specific days and correlation analysis were used to assess associations between fracture numbers and a variety of weather parameters (temperature, rainfall, wind and ice risk). Results: Overall, 10929 individuals with hip fractures were admitted over the 5-year period. The highest number of admissions in a day was 14. No clear association was found between a weather parameter and daily admissions. However, when accumulated to a weekly timescale, a negative relationship with maximum temperature was found. No seasonal cycle was detected. Conclusion: The lack of a daily relationship and presence of a weekly relationship points to a possible delayed response to weather or insufficient daily data to extract a signal. The inconclusive results also indicate a larger data sample is required in future studies. In addition, even in cold weather an urban environment may not create icy conditions, being ameliorated by the heat island effect and gritting.
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Affiliation(s)
- Louis J. Koizia
- Department of Bioengineering, Cutrale Perioperative and Ageing Group, Imperial College London, United Kingdom
- Louis J. Koizia, Cutrale Perioperative and Ageing Group, Department of Bioengineering, Imperial College London, United Kingdom.
| | - Melanie Dani
- Department of Bioengineering, Cutrale Perioperative and Ageing Group, Imperial College London, United Kingdom
| | | | | | - Peter Reilly
- Department of Bioengineering, Cutrale Perioperative and Ageing Group, Imperial College London, United Kingdom
| | - Michael B. Fertleman
- Department of Bioengineering, Cutrale Perioperative and Ageing Group, Imperial College London, United Kingdom
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Li H, Yao Y, Duan Y, Liao Y, Yan S, Liu X, Zhao Z, Fu Y, Yin P, Cheng J, Jiang H. Years of life lost and mortality risk attributable to non-optimum temperature in Shenzhen: a time-series study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:187-196. [PMID: 32054993 DOI: 10.1038/s41370-020-0202-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 11/15/2019] [Accepted: 11/28/2019] [Indexed: 06/10/2023]
Abstract
To assess YLL and mortality burden attributable to non-optimum ambient temperature, we collected mortality and environmental data from June 1, 2012 to December 30, 2017 in Shenzhen. We applied distributed lag nonlinear models with 21 days of lag to examine temperature-YLL and temperature-mortality associations, and calculated the attributable fractions of YLL and deaths for non-optimum temperature, including four subranges, mild cold, mild heat, extreme cold, and extreme heat. Cold and heat were distinguished by the optimum temperature, and each was separated into extreme and mild by cutoffs at 2.5th (12.2 °C) and 97.5th (30.4 °C) temperature percentile further. The optimum temperature was defined as the temperature that had minimum effect on YLL or mortality risk. The optimum temperature for non-accidental YLL was 24.5 °C, and for mortality it was 25.4 °C. Except for the population older than 65 years, the optimum temperature was generally lower in the YLL model than the mortality model. Of the total 61,576 non-accidental deaths and 1,350,835.7 YLL within the study period, 17.28% (95% empirical CI 9.42-25.14%) of YLL and 17.27% (12.70-21.34%) of mortality were attributable to non-optimum temperature. More YLL was caused by cold (10.14%, 3.94-16.36%) than by heat (7.14%, 0.47-13.88%). Mild cold (12.2-24.5 °C) was responsible for far more YLL (8.78%, 3.00-14.61%) than extreme cold (3.5-12.2 °C). As for cardiovascular deaths, only the fractions attributable to overall and cold temperature were significant, with mild cold contributing the largest fraction to YLL (16.31%, 6.85-25.82%) and mortality (16.08%, 9.77-21.22%). Most of the temperature-related YLL and mortality was attributable to mild but non-optimum weather, especially mild cold, while the YLL model implied a more prominent heat effect on premature death. Our findings can supply additional evidence from multiperspectives for health planners to define priorities and make targeted policies for mitigating the burden of adverse temperatures.
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Affiliation(s)
- Hongyan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Yao Yao
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Yi Liao
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Siyu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Xuehan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Zhiguang Zhao
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Yingbin Fu
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China.
| | - Hongwei Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
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Dimitrova A, Ingole V, Basagaña X, Ranzani O, Milà C, Ballester J, Tonne C. Association between ambient temperature and heat waves with mortality in South Asia: Systematic review and meta-analysis. ENVIRONMENT INTERNATIONAL 2021; 146:106170. [PMID: 33395923 DOI: 10.1016/j.envint.2020.106170] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 09/16/2020] [Accepted: 09/26/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND South Asia is highly vulnerable to climate change and is projected to experience some of the highest increases in average annual temperatures throughout the century. Although the adverse impacts of ambient temperature on human health have been extensively documented in the literature, only a limited number of studies have focused on populations in this region. OBJECTIVES Our aim was to systematically review the current state and quality of available evidence on the direct relationship between ambient temperature and heat waves and all-cause mortality in South Asia. METHODS The databases Pubmed, Web of Science, Scopus and Embase were searched from 1990 to 2020 for relevant observational quantitative studies. We applied the Navigation Guide methodology to assess the strength of the evidence and performed a meta-analysis based on a novel approach that allows for combining nonlinear exposure-response associations without access to data from individual studies. RESULTS From the 6,759 screened papers, 27 were included in the qualitative synthesis and five in a meta-analysis. Studies reported an association of all-cause mortality with heat wave episodes and both high and low daily temperatures. The meta-analysis showed a U-shaped pattern, with increasing mortality for both high and low temperatures, but a statistically significant association was found only at higher temperatures - above 31° C for lag 0-1 days and above 34° C for lag 0-13 days. Effects were found to vary with cause of death, age, sex, location (urban vs. rural), level of education and socio-economic status, but the profile of vulnerabilities was somewhat inconsistent and based on a limited number of studies. Overall, the strength of the evidence for ambient temperature as a risk factor for all-cause mortality was judged as limited and for heat wave episodes as inadequate. CONCLUSIONS The evidence base on temperature impacts on mortality in South Asia is limited due to the small number of studies, their skewed geographical distribution and methodological weaknesses. Understanding the main determinants of the temperature-mortality association as well as how these may evolve in the future in a dynamic region such as South Asia will be an important area for future research. Studies on viable adaptation options to high temperatures for a region that is a hotspot for climate vulnerability, urbanisation and population growth are also needed.
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Affiliation(s)
- Asya Dimitrova
- Barcelona Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Plaça de la Mercè, 10, 08002 Barcelona, Spain; CIBER Epidemiología y Salud Pública, Avda. Monforte de Lemos 3-5, Madrid, Spain
| | - Vijendra Ingole
- Barcelona Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública, Avda. Monforte de Lemos 3-5, Madrid, Spain
| | - Xavier Basagaña
- Barcelona Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Plaça de la Mercè, 10, 08002 Barcelona, Spain; CIBER Epidemiología y Salud Pública, Avda. Monforte de Lemos 3-5, Madrid, Spain
| | - Otavio Ranzani
- Barcelona Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública, Avda. Monforte de Lemos 3-5, Madrid, Spain
| | - Carles Milà
- Barcelona Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública, Avda. Monforte de Lemos 3-5, Madrid, Spain
| | - Joan Ballester
- Barcelona Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública, Avda. Monforte de Lemos 3-5, Madrid, Spain
| | - Cathryn Tonne
- Barcelona Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Plaça de la Mercè, 10, 08002 Barcelona, Spain; CIBER Epidemiología y Salud Pública, Avda. Monforte de Lemos 3-5, Madrid, Spain.
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50
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Thomas MD, Jewell NP, Allen AM. Black and unarmed: statistical interaction between age, perceived mental illness, and geographic region among males fatally shot by police using case-only design. Ann Epidemiol 2021; 53:42-49.e3. [PMID: 32835768 PMCID: PMC7736192 DOI: 10.1016/j.annepidem.2020.08.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 08/05/2020] [Accepted: 08/17/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE We examine whether the race and armed status interact to modify the risk of being fatally shot by police within categories of civilian age and mental illness status, and U.S. region. METHODS Data are from The Washington Post online public-use database of all U.S. police-involved shooting deaths. The sample includes black and white males with known armed status who were killed from 1/1/2015 through 12/31/2019 (n = 3090). A case-only design is used to assess multiplicative interaction using adjusted logistic regression. RESULTS The fully adjusted interaction estimate is null (SOR = 0.75; 95% confidence interval [CI] = 0.55-1.04). However, adjusted estimates within strata show that the risk of being armed versus unarmed when fatally shot is smaller for black than white males older than 54 years (SOR = 0.18; 95% CI = 0.06-0.65), those showing mental illness signs (SOR = 0.50; 95% CI = 0.26-0.98), and those killed in the South (SOR = 0.52; 95% CI = 0.33-0.83), and that the risk is greater in the Midwest (SOR = 2.42; 95% CI = 1.11-5.26). Notably, there is no black-white difference in armed status among younger age groups (SOR≈0.89). CONCLUSION The race and armed status may interact leaving black males at a higher risk of being unarmed than white males when fatally shot by police among those older than 54 years, mentally impaired, and residing in the South. Causal interaction suggests a lower risk for unarmed blacks in the Midwest. Researchers should further explore the utility of the case-only design to study social-environmental interaction.
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Affiliation(s)
- Marilyn D Thomas
- Departments of Epidemiology & Biostatistics and Psychiatry, University of California, San Francisco, San Francisco.
| | - Nicholas P Jewell
- Berkeley Division of Epidemiology, School of Public Health, University of California, Berkeley
| | - Amani M Allen
- Berkeley Division of Epidemiology, School of Public Health, University of California, Berkeley
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