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He C, Breitner S, Zhang S, Naumann M, Traidl-Hoffmann C, Hammel G, Peters A, Ertl M, Schneider A. Stroke risk associated with cold spells occurring during the warm season. ENVIRONMENT INTERNATIONAL 2025; 199:109514. [PMID: 40328088 DOI: 10.1016/j.envint.2025.109514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 01/01/2025] [Accepted: 04/29/2025] [Indexed: 05/08/2025]
Abstract
BACKGROUND Recent climate changes have resulted in a rising frequency of extreme cold events that take place during the warm season. Few studies have investigated the impact of these warm-season cold spells on cardiovascular health. Here, we aimed to investigate the potential relationship between exposure to relatively low temperature exposure during the warm season and stroke risk. METHODS We conducted a time-stratified case-crossover study using a validated, complete, and detailed registration of all stroke cases in the city of Augsburg, Germany, from 2006 to 2020 to assess the association between the occurrence of stroke and exposure to cold spell events during the warm season (May-October). Six cold spell definitions were created using different relative temperature thresholds (1st, 2.5th, and 5th percentiles) and durations (more than 1-2 consecutive days). Conditional logistic regression with distributed lag models was then applied to assess the accumulated effects of these warm-season cold spells on stroke risk over a lag period of 0-6 days, with adjustments for daily mean temperature. RESULTS Results confirmed that warm-season cold spells were significantly linked to an elevated risk of stroke with effects that could persist three days after exposure. The cumulative odds ratio (OR) estimates for the cold spells using the 2.5th percentile as air temperature threshold reached 1.29 (95% confidence interval (CI): 1.09-1.53) and 1.23 (95%CI: 1.05-1.44) for durations more than one and two days, respectively. Warm-season cold spells also had significant associations with both transient ischemic attacks and ischemic strokes. The stratified analysis showed that the elderly population (aged ≥ 65 years), females, and stroke cases characterized by minor symptoms demonstrated a significantly increased stroke risk of the effects of warm season cold spells. CONCLUSIONS This study presents strong evidence for an overlooked association between warm-season cold spells and an increased risk of stroke occurrence. These findings further highlight the multifaceted ways in which climate change can affect human health.
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Affiliation(s)
- Cheng He
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Siqi Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA
| | - Markus Naumann
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Claudia Traidl-Hoffmann
- Department of Environmental Medicine, Medical Faculty, University Augsburg, Augsburg, Germany; CK-CARE, Christine Kühne, Center for Allergy and Research and Education, Davos, Switzerland; Institute of Environmental Medicine, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Gertrud Hammel
- Institute for Social Sciences, Sociology and Health Research, University of Augsburg, Augsburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany; Munich Heart Alliance, German Center for Cardiovascular Health (DZHK e.V., partner-site Munich), Munich, Germany
| | - Michael Ertl
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
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Li Z, Wan J, Peng S, Wang R, Dai Z, Liu C, Feng Y, Xiang H. Associations between cold spells of different time types and coronary heart disease severity. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123100. [PMID: 38070638 DOI: 10.1016/j.envpol.2023.123100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/15/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023]
Abstract
Limited evidence showed the association between cold spells and the severity of coronary heart disease (CHD). This study was to investigate the association between cold spells with their different time types and CHD severity. We collected data on CHD patients admitted to the Zhongnan Hospital, Wuhan, China from 2016 to 2021. CHD severity was quantified using the SYNTAX score and transformed into a binomial variable. Daily mean, maximum and minimum temperature were collected during the study period. We first used daily mean temperature to find the optimum definition among multiple thresholds and durations. The daily maximum and minimum temperatures were used to define different types of cold spells (daytime, nighttime and compound) based on the optimum definition. Annual cold spell days were included to assess individual exposure to cold spells. Logistic regression models were performed to fit the association between cold spell days and CHD severity stratified by different tertiles of PM2.5 and NDVI. In this study, 1937 CHD patients were included. The cold spell defined as at least four consecutive days with daily mean temperature below the 5th percentile exhibited the optimum model. We found that a 4-day increase in cold spell days was associated with more severe CHD (OR = 1.170, 95% CI: 1.074, 1.282). Such an association was more pronounced under higher levels of PM2.5 by OR = 1.270 (1.086, 1.494) and lower levels of greenness by OR = 1.240 (1.044, 1.476). Compared with daytime and compound cold spells, nighttime cold spells showed the strongest association with CHD severity by OR = 1.141 (1.026, 1.269). This study showed that exposure to cold spells was positively associated with CHD severity, especially the nighttime cold spells. The association between cold spells and CHD severity was more significant in high levels of PM2.5 and low levels of greenness.
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Affiliation(s)
- Zhaoyuan Li
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Jing Wan
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, China
| | - Shouxin Peng
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Ruonan Wang
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Zhongli Dai
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Cuiyi Liu
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, China
| | - Yujia Feng
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, China
| | - Hao Xiang
- School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China.
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Gao Y, Huang W, Zhao Q, Ryti N, Armstrong B, Gasparrini A, Tong S, Pascal M, Urban A, Zeka A, Lavigne E, Madureira J, Goodman P, Huber V, Forsberg B, Kyselý J, Sera F, Guo Y, Li S. Global, regional, and national burden of mortality associated with cold spells during 2000-19: a three-stage modelling study. Lancet Planet Health 2024; 8:e108-e116. [PMID: 38331527 DOI: 10.1016/s2542-5196(23)00277-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 12/07/2023] [Accepted: 12/14/2023] [Indexed: 02/10/2024]
Abstract
BACKGROUND Exposure to cold spells is associated with mortality. However, little is known about the global mortality burden of cold spells. METHODS A three-stage meta-analytical method was used to estimate the global mortality burden associated with cold spells by means of a time series dataset of 1960 locations across 59 countries (or regions). First, we fitted the location-specific, cold spell-related mortality associations using a quasi-Poisson regression with a distributed lag non-linear model with a lag period of up to 21 days. Second, we built a multivariate meta-regression model between location-specific associations and seven predictors. Finally, we predicted the global grid-specific cold spell-related mortality associations during 2000-19 using the fitted meta-regression model and the yearly grid-specific meta-predictors. We calculated the annual excess deaths, excess death ratio (excess deaths per 1000 deaths), and excess death rate (excess deaths per 100 000 population) due to cold spells for each grid across the world. FINDINGS Globally, 205 932 (95% empirical CI [eCI] 162 692-250 337) excess deaths, representing 3·81 (95% eCI 2·93-4·71) excess deaths per 1000 deaths (excess death ratio), and 3·03 (2·33-3·75) excess deaths per 100 000 population (excess death rate) were associated with cold spells per year between 2000 and 2019. The annual average global excess death ratio in 2016-19 increased by 0·12 percentage points and the excess death rate in 2016-19 increased by 0·18 percentage points, compared with those in 2000-03. The mortality burden varied geographically. The excess death ratio and rate were highest in Europe, whereas these indicators were lowest in Africa. Temperate climates had higher excess death ratio and rate associated with cold spells than other climate zones. INTERPRETATION Cold spells are associated with substantial mortality burden around the world with geographically varying patterns. Although the number of cold spells has on average been decreasing since year 2000, the public health threat of cold spells remains substantial. The findings indicate an urgency of taking local and regional measures to protect the public from the mortality burdens of cold spells. FUNDING Australian Research Council, Australian National Health and Medical Research Council, EU's Horizon 2020 Project Exhaustion.
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Affiliation(s)
- Yuan Gao
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Wenzhong Huang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Qi Zhao
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Niilo Ryti
- Center for Environmental and Respiratory Health Research, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Ben Armstrong
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Antonio Gasparrini
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Shilu Tong
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia; School of Public Health and Institute of Environment and Human Health, Anhui Medical University, Hefei, China; Shanghai Children's Medical Centre, Shanghai Jiao-Tong University, Shanghai, China
| | - Mathilde Pascal
- Santé Publique France, Department of Environmental and Occupational Health, French National Public Health Agency, Saint Maurice, France
| | - Aleš Urban
- Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic; Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic
| | - Ariana Zeka
- Institute for the Environment, Brunel University London, London, UK
| | - Eric Lavigne
- School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ONT, Canada; Air Health Science Division, Health Canada, Ottawa, ONT, Canada
| | - Joana Madureira
- Department of Geography, University of Santiago de Compostela, Santiago de Compostela, Spain; EPIUnit-Instituto de Saude Publica, Universidade do Porto, Porto, Portugal
| | | | - Veronika Huber
- The Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians University, Munich, Munich, Germany
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | - Jan Kyselý
- Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic; Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic
| | - Francesco Sera
- Department of Statistics, Computer Science and Applications "G Parenti", University of Florence, Florence, Italy
| | - Yuming Guo
- 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.
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Ocobock C, Turunen M, Soppela P, Rasmus S. The impact of winter warming and more frequent icing events on reindeer herder occupational safety, health, and wellbeing. Am J Hum Biol 2023; 35:e23790. [PMID: 36638266 DOI: 10.1002/ajhb.23790] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/14/2022] [Accepted: 07/19/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Northern Finland, like the rest of the Arctic, has experienced increases in mean annual temperature, the number of winter rains, the number of thaw-freeze days, the number of extremely warm weather events, and a shortened snow season. These changes have produced numerous problems for reindeer herders whose livelihoods rely on a healthy ecosystem with predictable weather patterns. METHODS We performed a scoping literature review to assess how climate change induced extreme weather has negatively impacted reindeer herding as well as the health and wellbeing of reindeer herders. RESULTS Late snow cover negatively impacts reindeer herding through a more widely dispersed herd that increases the work to gather reindeer, leads to reduced calf weight, and results in less meat for sale. This increased labor, especially in extreme cold conditions, can also negatively impact reindeer herder health. Icing due to thaw-freeze and rain-on-snow events makes it impossible for reindeer to dig through the snow to access lichens, increasing the need for reindeer herders to keep the herd in winter enclosures and provide supplemental feed. CONCLUSION Climate change induced weather events such as late snow cover and icing increase reindeer herder efforts and expenses, put their livelihood at risk, and put their health at risk.
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Affiliation(s)
- Cara Ocobock
- Department of Anthropology, University of Notre Dame, Notre Dame, Indiana, USA.,Eck Institute for Global Health, Institute for Educational Initiatives, University of Notre Dame, Notre Dame, Indiana, USA
| | - Minna Turunen
- Arctic Centre, University of Lapland, Rovaniemi, Finland
| | - Päivi Soppela
- Arctic Centre, University of Lapland, Rovaniemi, Finland
| | - Sirpa Rasmus
- Arctic Centre, University of Lapland, Rovaniemi, Finland.,Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
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Jiang Y, Hu J, Peng L, Li H, Ji JS, Fang W, Yan H, Chen J, Wang W, Xiang D, Su X, Yu B, Wang Y, Xu Y, Wang L, Li C, Chen Y, Zhao D, Kan H, Ge J, Huo Y, Chen R. Non-optimum temperature increases risk and burden of acute myocardial infarction onset: A nationwide case-crossover study at hourly level in 324 Chinese cities. EClinicalMedicine 2022; 50:101501. [PMID: 35755601 PMCID: PMC9218136 DOI: 10.1016/j.eclinm.2022.101501] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/10/2022] [Accepted: 05/20/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The associations of ambient temperature with acute myocardial infarction (AMI) have seldom been examined based on the time of symptom onset. METHODS We conducted a time-stratified case-crossover study among 1,046,773 eligible AMI patients from 2,093 hospitals in 324 Chinese cities from January 1, 2015 to June 30, 2021, after excluding those transferred from other hospitals or having not reported the time of symptom onset. Hourly exposure to ambient temperature was calculated as multiple moving 24-h averages (days) before hourly onset of AMI symptoms. Conditional logistic regression and distributed lag non-linear models with a duration of 0-21 days were used to estimate the cumulative associations of non-optimum temperature with AMI onset and the corresponding disease burden nationally. Subgroup analyses by region and period were conducted. Specifically, cities with and without centralized heating system were classified into heating and non-heating regions, respectively. The whole year in heating region was divided into heating and non-heating periods based on the duration of centralized heating in each city. FINDINGS Almost monotonically increasing risks were observed for both overall AMI and its two subtypes when ambient temperature declined. The effects of extremely low temperature occurred immediately on the concurrent day, and lasted up to almost 3 weeks. The excess risks of AMI onset associated with non-optimum ambient temperatures were observed during the whole year in the non-heating region and non-heating period in the heating region, but not during heating period. Specifically, odds ratios of AMI onset associated with extremely low temperature cumulated over 0-21 days were 1.24 (95% CI: 1.13-1.37), 1.46 (95% CI: 1.20-1.76), and 1.62 (95% CI: 1.46-1.81) in the heating region during non-heating period, in the non-heating region during winter and non-winter period, respectively. The heat effects on AMI onset were very modest and transient. Totally, 13.26% of AMI cases could be attributable to non-optimum temperatures nationally. The burden of AMI attributable to non-optimum temperature was much smaller in heating region than in non-heating region. Somewhat stronger effects were observed in females and patients aged older than 65. INTERPRETATION This nationwide study provided robust evidence that non-optimum ambient temperature may significantly trigger AMI onset, and for the first time estimated the disease burden after accounting for spatial and seasonal heterogeneity. Centralized heating might substantially mitigate AMI burden due to non-optimum temperature. FUNDING Shanghai International Science and Technology Partnership Project, National Natural Science Foundation of China, Talent Training Program of Zhongshan Hospital, Fudan University.
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Affiliation(s)
- Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jialu Hu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - Li Peng
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, China
| | - Huichu Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - John S. Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Weiyi Fang
- Department of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Hongbing Yan
- Center for Coronary Artery Diseases, Chinese Academy of Medical Sciences in Shenzhen, Shenzhen, China
- Center for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiyan Chen
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Weimin Wang
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| | - Dingcheng Xiang
- Department of Cardiology, General Hospital of Southern Theater Command, Guangzhou, China
| | - Xi Su
- Department of Cardiology, Wuhan ASIA General Hospital, Wuhan, China
| | - Bo Yu
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China
| | - Yan Wang
- Department of Cardiology, Xiamen Cardiovascular Hospital Xiamen University, Xiamen, China
| | - Yawei Xu
- Department of Cardiology, Shanghai Tenth People's Hospital, Shanghai, China
| | - Lefeng Wang
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Chunjie Li
- Department of Emergency, Tianjin Chest Hospital, Tianjin, China
| | - Yundai Chen
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Dong Zhao
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
- IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
- Corresponding author at: Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, 180 Fenglin Road, Shanghai 200032, China.
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
- Corresponding author at: Department of Cardiology, Peking University First Hospital, No.8 Xishiku St., Xicheng District, Beijing 100034, China.
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
- IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
- Corresponding author at: Department of Environmental Health, School of Public Health, Fudan University, P.O. Box 249, 130 Dong-An Road, Shanghai 200032, China.
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