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Zheng W, Chu J, Bambrick H, Wang N, Mengersen K, Guo X, Hu W. Impacts of heatwaves on type 2 diabetes mortality in China: a comparative analysis between coastal and inland cities. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024; 68:939-948. [PMID: 38407634 PMCID: PMC11058751 DOI: 10.1007/s00484-024-02638-0] [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: 10/05/2023] [Revised: 12/25/2023] [Accepted: 02/12/2024] [Indexed: 02/27/2024]
Abstract
The impacts of extreme temperatures on diabetes have been explored in previous studies. However, it is unknown whether the impacts of heatwaves appear variations between inland and coastal regions. This study aims to quantify the associations between heat exposure and type 2 diabetes mellitus (T2DM) deaths in two cities with different climate features in Shandong Province, China. We used a case-crossover design by quasi-Poisson generalized additive regression with a distributed lag model with lag 2 weeks, controlling for relative humidity, the concentration of air pollution particles with a diameter of 2.5 µm or less (PM2.5), and seasonality. The wet- bulb temperature (Tw) was used to measure the heat stress of the heatwaves. A significant association between heatwaves and T2DM deaths was only found in the coastal city (Qingdao) at the lag of 2 weeks at the lowest Tw = 14℃ (relative risk (RR) = 1.49, 95% confidence interval (CI): 1.11-2.02; women: RR = 1.51, 95% CI: 1.02-2.24; elderly: RR = 1.50, 95% CI: 1.08-2.09). The lag-specific effects were significant associated with Tw at lag of 1 week at the lowest Tw = 14℃ (RR = 1.14, 95% CI: 1.03-1.26; women: RR = 1.15, 95% CI: 1.01-1.31; elderly: RR = 1.15, 95% CI: 1.03-1.28). However, no significant association was found in Jian city. The research suggested that Tw was significantly associated with T2DM mortality in the coastal city during heatwaves on T2DM mortality. Future strategies should be implemented with considering socio-environmental contexts in regions.
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Affiliation(s)
- Wenxiu Zheng
- Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, 4059, Australia
| | - Jie Chu
- Shandong Center for Disease Control and Prevention, and Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Hilary Bambrick
- Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, 4059, Australia
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Ning Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kerrie Mengersen
- School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia
| | - Xiaolei Guo
- Shandong Center for Disease Control and Prevention, and Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Wenbiao Hu
- Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, 4059, Australia.
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Gao D, Friedman S, Hosler AS, Sheridan S, Zhang W, Yu F, Lin S. Ambient heat and diabetes hospitalizations: Does the timing of heat exposure matter? THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169011. [PMID: 38040382 DOI: 10.1016/j.scitotenv.2023.169011] [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: 08/24/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 12/03/2023]
Abstract
BACKGROUND Although ambient heat exposure is linked with diabetes mortality, the impacts of heat exposure on diabetes-related hospitalizations remain controversial. Previous research did not examine the timing of heat-diabetes associations and relation with comorbidities/risk factors. OBJECTIVE We examined the association between heat exposure and diabetes-related hospitalizations in the transitional and summer months and identified populations vulnerable to heat. METHODS We conducted a time-stratified case-crossover study. Data on diabetes hospital admissions (primary diagnosis of type 1 and type 2 diabetes, 2013-2020) were collected by the New York State (NYS) Department of Health under the state legislative mandate. We treated temperature and air pollutants as continuous variables and defined the heat exposure as per interquartile range (IQR, a measure between the 25th and 75th percentiles) increase of daily mean temperature. Conditional logistic regressions were performed to quantify the heat-diabetes associations after controlling for air pollutants and time variant variables. Multiplicative-scale interactions between heat and demographics/comorbidities/risk factors on diabetes hospitalizations were investigated. RESULTS Each IQR increase in temperature was associated with significantly increased risks for diabetes admissions that occurred immediately and lasted for an entire week during multi-day lags in the transitional month of May (ranges of excess risk: 3.1 %-4.8 %) but not in the summer (June-August) (ranges of excess risk: -0.3 %-1.3 %). The significant increases in the excess risk of diabetes were also found among diabetes patients with complications of neuronopathy (excess risk: 27.7 %) and hypoglycemia (excess risk: 19.1 %). Furthermore, the modification effects on the heat-diabetes association were significantly stronger in females, Medicaid enrollees, non-compliant patients, and individuals with comorbidities of atherosclerotic heart disease and old myocardial infarction. CONCLUSIONS Ambient heat exposure significantly increased the burden of hospital admissions for diabetes in transitional rather than summer months indicating the importance of exposure timing. Vulnerability to heat varied by demographics and heart comorbidity.
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Affiliation(s)
- Donghong Gao
- Department of Epidemiology and Biostatistics, University at Albany, Rensselaer, NY, USA
| | | | - Akiko S Hosler
- Department of Epidemiology and Biostatistics, University at Albany, Rensselaer, NY, USA
| | - Scott Sheridan
- Department of Geography, Kent State University, Kent, OH, USA
| | - Wangjian Zhang
- Department of Medical Statistics, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fangqun Yu
- Atmospheric Sciences Research Center, University at Albany, Albany, NY, USA
| | - Shao Lin
- Department of Epidemiology and Biostatistics, University at Albany, Rensselaer, NY, USA; Department of Environmental Health Sciences, University at Albany, Rensselaer, NY, USA.
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Zheng W, Chu J, Bambrick H, Wang N, Mengersen K, Guo X, Hu W. Impact of environmental factors on diabetes mortality: A comparison between inland and coastal areas. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166335. [PMID: 37591381 DOI: 10.1016/j.scitotenv.2023.166335] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/02/2023] [Accepted: 08/14/2023] [Indexed: 08/19/2023]
Abstract
BACKGROUND Diabetes mortality varies between coastal and inland areas in Shandong Province, China. However, evidence about the reasons for this disparity is limited. We assume that distinct environmental conditions may contribute to the disparities in diabetes mortality patterns between coastal and inland areas. METHOD Qingdao and Jinan were selected as typical coastal and inland cities in Shandong Province, respectively, with similar socioeconomic but different environmental characteristics. Data on diabetes deaths and environmental factors (i.e., temperature, relative humidity and air pollution particles with a diameter of 2.5 μm or less (PM2.5)) were collected from 2013 to 2020. Spatial kriging methods were used to estimate the aggregated diabetes mortality at the city level. A distributed lag non-linear model (DLNM) was used to quantify the possible cumulative and non-cumulative associations between environmental factors and diabetes mortality by age, sex and location. RESULTS In the coastal city (Qingdao), the maximum cumulative relative risks (RRs) of temperature and PM2.5 associated with diabetes deaths were 2.54 (95 % confidence interval (CI): 1.25-5.15), and 1.17 (95 % CI: 1.01-1.37) respectively, at lag 1 week. In the inland city (Jinan), only temperature exhibited significant cumulative associations with diabetes deaths (RR = 1.54, 95 % CI: 1.07-2.23 at 29 °C). Lower relative humidity (22 %-45 %) had a lag-specific association with diabetes deaths in inland areas at lag 3 weeks (RR = 1.33, 95 % CI: 1.03-1.70 at 22 %). CONCLUSION Despite the lower PM2.5 concentrations in the coastal location, diabetes mortality exhibited stronger links to environmental variables in the coastal city than in the inland city. These findings suggest that the control of air pollution could decrease the mortality burden of diabetes, even in the region with relatively good air quality. Additionally, the spatial estimation method is recommended to identify associations between environmental factors and diseases in studies with limited data.
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Affiliation(s)
- Wenxiu Zheng
- Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Jie Chu
- Shandong Center for Disease Control and Prevention, Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Hilary Bambrick
- Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia; National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Ning Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kerrie Mengersen
- School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Xiaolei Guo
- Shandong Center for Disease Control and Prevention, Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China.
| | - Wenbiao Hu
- Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.
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Rossios K, Antza C, Kachtsidis V, Kotsis V. The Modern Environment: The New Secondary Cause of Hypertension? MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2095. [PMID: 38138198 PMCID: PMC10744418 DOI: 10.3390/medicina59122095] [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: 08/31/2023] [Revised: 10/15/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023]
Abstract
The most important risk factor for cardiovascular disease, the leading cause of death worldwide, is hypertension. Although most cases of hypertension are thought to be essential, the multifactorial associations of the environmental influence on blood pressure seem to play an important role and should be more closely investigated. This review attempts to focus on the recent literature that examines the environmental effects on arterial blood pressure and its management. Seasonal variability and the role of ambient temperature, either occupational or recreational noise pollution, as well as obesity due to environment-caused dietary habits, are recognized as important risk factors, affecting the onset as well as the regulation of hypertension. Furthermore, the effects of seasonal fluctuations in blood pressure, noise pollution, and obesity seem to share a similar pathogenesis, and as such to all further react together, leading to increased blood pressure. The activation of the autonomous nervous system plays a key role and causes an increase in stress hormones that generates oxidative stress on the vascular system and, thus, vasoconstriction. In this review, by focusing on the association of the environmental impact with arterial blood pressure, we come to the question of whether most cases of hypertension-if not all-should, indeed, be considered primary or secondary.
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Affiliation(s)
- Konstantinos Rossios
- Cardiology Clinic, Papageorgiou Hospital, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Christina Antza
- Hypertension Center, 3rd Department of Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (C.A.); (V.K.)
| | - Vasileios Kachtsidis
- Hypertension Center, 3rd Department of Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (C.A.); (V.K.)
| | - Vasilios Kotsis
- Hypertension Center, 3rd Department of Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (C.A.); (V.K.)
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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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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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7
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Rai M, Stafoggia M, de'Donato F, Scortichini M, Zafeiratou S, Vazquez Fernandez L, Zhang S, Katsouyanni K, Samoli E, Rao S, Lavigne E, Guo Y, Kan H, Osorio S, Kyselý J, Urban A, Orru H, Maasikmets M, Jaakkola JJK, Ryti N, Pascal M, Hashizume M, Fook Sheng Ng C, Alahmad B, Hurtado Diaz M, De la Cruz Valencia C, Nunes B, Madureira J, Scovronick N, Garland RM, Kim H, Lee W, Tobias A, Íñiguez C, Forsberg B, Åström C, Maria Vicedo-Cabrera A, Ragettli MS, Leon Guo YL, Pan SC, Li S, Gasparrini A, Sera F, Masselot P, Schwartz J, Zanobetti A, Bell ML, Schneider A, Breitner S. Heat-related cardiorespiratory mortality: Effect modification by air pollution across 482 cities from 24 countries. ENVIRONMENT INTERNATIONAL 2023; 174:107825. [PMID: 36934570 DOI: 10.1016/j.envint.2023.107825] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/11/2023] [Accepted: 02/12/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Evidence on the potential interactive effects of heat and ambient air pollution on cause-specific mortality is inconclusive and limited to selected locations. OBJECTIVES We investigated the effects of heat on cardiovascular and respiratory mortality and its modification by air pollution during summer months (six consecutive hottest months) in 482 locations across 24 countries. METHODS Location-specific daily death counts and exposure data (e.g., particulate matter with diameters ≤ 2.5 µm [PM2.5]) were obtained from 2000 to 2018. We used location-specific confounder-adjusted Quasi-Poisson regression with a tensor product between air temperature and the air pollutant. We extracted heat effects at low, medium, and high levels of pollutants, defined as the 5th, 50th, and 95th percentile of the location-specific pollutant concentrations. Country-specific and overall estimates were derived using a random-effects multilevel meta-analytical model. RESULTS Heat was associated with increased cardiorespiratory mortality. Moreover, the heat effects were modified by elevated levels of all air pollutants in most locations, with stronger effects for respiratory than cardiovascular mortality. For example, the percent increase in respiratory mortality per increase in the 2-day average summer temperature from the 75th to the 99th percentile was 7.7% (95% Confidence Interval [CI] 7.6-7.7), 11.3% (95%CI 11.2-11.3), and 14.3% (95% CI 14.1-14.5) at low, medium, and high levels of PM2.5, respectively. Similarly, cardiovascular mortality increased by 1.6 (95%CI 1.5-1.6), 5.1 (95%CI 5.1-5.2), and 8.7 (95%CI 8.7-8.8) at low, medium, and high levels of O3, respectively. DISCUSSION We observed considerable modification of the heat effects on cardiovascular and respiratory mortality by elevated levels of air pollutants. Therefore, mitigation measures following the new WHO Air Quality Guidelines are crucial to enhance better health and promote sustainable development.
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Affiliation(s)
- Masna Rai
- Institute of Epidemiology, Helmholtz Munich, - German Research Center for Environmental Health, Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Pettenkofer School of Public Health, LMU Munich, Munich, Germany.
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Francesca de'Donato
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Matteo Scortichini
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Sofia Zafeiratou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School,National and Kapodistrian University of Athens, Greece
| | | | - Siqi Zhang
- Institute of Epidemiology, Helmholtz Munich, - German Research Center for Environmental Health, Neuherberg, Germany
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School,National and Kapodistrian University of Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School,National and Kapodistrian University of Athens, Greece
| | - Shilpa Rao
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Eric Lavigne
- School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada and Environmental Health Science & Research Bureau, Health Canada, Ottawa, Canada
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Samuel Osorio
- Department of Environmental Health, University of São Paulo, São Paulo, Brazil
| | - 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
| | - Aleš Urban
- Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | - Hans Orru
- Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | | | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland
| | - Niilo Ryti
- Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland
| | - Mathilde Pascal
- Santé Publique France, Department of Environmental Health, French National Public Health Agency, Saint Maurice, France
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Chris Fook Sheng Ng
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Barrak Alahmad
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Magali Hurtado Diaz
- Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - César De la Cruz Valencia
- Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Baltazar Nunes
- Department of Environmental Health, Instituto Nacional de Saúde Dr. Ricardo Jorge, Porto, Portugal
| | - Joana Madureira
- Department of Environmental Health, Instituto Nacional de Saúde Dr. Ricardo Jorge, Porto, Portugal
| | - Noah Scovronick
- Department of Environmental Health. Rollins School of Public Health, Emory University, Atlanta, USA
| | - Rebecca M Garland
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
| | - Ho Kim
- Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Whanhee Lee
- School of Biomedical Convergence Engineering, Pusan National University, Yangsan, South Korea
| | - Aurelio Tobias
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain
| | - Carmen Íñiguez
- Department of Statistics and Computational Research. Universitat de València, València, Spain
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | - Christofer Åström
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | | | | | - Yue-Liang Leon Guo
- Environmental and Occupational Medicine, and Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
| | - Shih-Chun Pan
- National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Antonio Gasparrini
- 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
| | - Pierre Masselot
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University, New Haven CT, USA
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Munich, - German Research Center for Environmental Health, Neuherberg, Germany
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Munich, - German Research Center for Environmental Health, Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
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8
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Al-Shihabi F, Moore A, Chowdhury TA. Diabetes and climate change. Diabet Med 2023; 40:e14971. [PMID: 36209378 DOI: 10.1111/dme.14971] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/03/2022] [Indexed: 11/26/2022]
Abstract
It is widely accepted that climate change is the biggest threat to human health. The pandemic of diabetes is also a major threat to human health, especially in rapidly developing nations. Climate change and diabetes appear to have common global vectors, including increased urbanisation, increased use of transportation, and production and ingestion of ultra-processed foods. People with diabetes appear to be at higher risk of threats to health from climate change, including effects from extreme heat or extreme cold, and natural disasters. Solutions to climate change offer some benefits for the prevention of diabetes and diabetes-related complications. Moving towards lower carbon economies is likely to help reduce reliance on intensive agriculture, reduce physical inactivity, reduce air pollution and enhance quality of life. It may enable a reduction in the prevalence of diabetes and reduced morbidity from the condition.
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Affiliation(s)
- Fatima Al-Shihabi
- Department of Diabetes and Metabolism, Royal London Hospital, London, UK
| | - Anna Moore
- Department of Diabetes and Metabolism, Royal London Hospital, London, UK
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9
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Ji Y, Chen C, Xu G, Song J, Su H, Wang H. Effects of sunshine duration on daily outpatient visits for depression in Suzhou, Anhui Province, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:2075-2085. [PMID: 35927404 DOI: 10.1007/s11356-022-22390-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
Previous epidemiological studies have reported seasonal variation patterns of depression symptoms, which may be influenced by bad weather conditions, such as a lack of sunlight. However, evidence on the acute effects of sunshine duration on outpatient visits for depression is limited, especially in developing countries, and the results are inconsistent. We collected daily outpatient visits for depression from the local mental health centre in Suzhou, Anhui Province, China, during 2017-2019. We defined the 5th and 95th sunshine percentiles as short and long sunshine durations, respectively. A quasi-Poisson generalized linear regression model combined with a distributed lag nonlinear model was used to quantitatively assess the effects of short and long sunshine durations on outpatient visits for depression. Stratified analyses were further performed by gender, age and number of visits to identify vulnerable populations. A total of 26,343 depression cases were collected during the study period. An approximate U-shaped exposure-response association was observed between sunshine duration and depression outpatient visits. The cumulative estimated relative risks (RRs) for short and long sunshine durations at lag 0-21 days were 1.53 [95% confidence intervals (CI): 1.14, 2.06] and 1.13 (95% CI: 0.88, 1.44), respectively. Moreover, a short sunshine duration was associated with a greater disease burden than a long sunshine duration, with attributable fractions (AFs) of 16.64% (95% CI: 7.8%, 23.89%) and 2.24% (95% CI: -2.65%, 5.74%), respectively. Subgroup analysis showed that males, people aged less than 45 years and first-visit cases may be more susceptible to a lack of sunlight. For a long sunshine duration, no statistically significant associations were found in any population groups. Our study found that a short sunshine duration was associated with an increased risk of depression. The government, medical institutions, family members and patients themselves should fully recognize the important role of sunlight and take active measures to prevent depression.
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Affiliation(s)
- Yanhu Ji
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Changhao Chen
- Department of Psychiatry, Suzhou Second People's Hospital, Suzhou, China
| | - Guangxing Xu
- Shantou Center for Disease Control and Prevention, Shantou, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Heng Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China.
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10
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Gao D, Friedman S, Hosler A, Sheridan S, Zhang W, Lin S. Association between extreme ambient heat exposure and diabetes-related hospital admissions and emergency department visits: A systematic review. HYGIENE AND ENVIRONMENTAL HEALTH ADVANCES 2022; 4:100031. [PMID: 36777310 PMCID: PMC9914517 DOI: 10.1016/j.heha.2022.100031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background and objectives Diabetes is an increasing public health concern worldwide. The impact of extreme heat exposure on diabetes healthcare utilization such as diabetes-related hospital admissions and emergency department (ED) visits was understudied although extreme temperature exposure was linked with diabetes mortality. In addition, very few systematic reviews have been conducted in this field. This review aims to systematically evaluate the currently available evidence on the association between extreme ambient heat exposure and hospital admissions/ED visits for diabetes and the vulnerable population to heat extremes. Methods A systematic literature review was conducted by using the keywords/terms "ambient temperature or heatwave or heat wave or extreme temperature or high temperature effect " and "diabetes morbidity or diabetes hospital admissions or diabetes emergency room visits " for available publications until August 2022. The heat exposure was categorized into four groups using difference definitions. The outcomes were diabetes-related hospital admissions/ED visits. A meta-analysis was performed to estimate the pooled effects of relative risk (RR)/odds ratio (OR) and 95% confidence intervals (CI) for each of the associations of interest. Results Eighteen articles were selected from forty full-text, English written papers based on the inclusion and exclusion criteria. The overall pooled effect of excessive heat on diabetes, across all groups, was 1.045 (95% CI 1.024-1.066). The pooled effects for each exposure group were significant/borderline significant. Additionally, the pooled effect of the RR/OR was 1.100 (95% CI: 1.067-1.135) among adults aged 65 years or older. The most controlled confounders were air pollutants. The commonly listed limitation in those studies was misclassification of exposure. Conclusions The body of evidence supports that ambient extreme heat exposure is associated with diabetes-related hospital admissions/ED visits. Additionally, adults 65 years of age or older with diabetes are vulnerable to heat extremes. Future studies should consider controlling for various biases and confounders.
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Affiliation(s)
- Donghong Gao
- Department of Epidemiology and Biostatistics, University at Albany, Rensselaer, NY, USA
| | | | - Akiko Hosler
- Department of Epidemiology and Biostatistics, University at Albany, Rensselaer, NY, USA
| | - Scott Sheridan
- Department of Geography, Kent State University, Kent, OH, USA
| | - Wangjian Zhang
- Department of Medical Statistics, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shao Lin
- Department of Epidemiology and Biostatistics, University at Albany, Rensselaer, NY, USA,Department of Environnemental Health Sciences, University at Albany, Rensselaer, NY, USA,Corresponding author at: Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rm 212d, Rensselaer, NY 12144-3445, (S. Lin)
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11
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Kapwata T, Gebreslasie MT, Wright CY. An analysis of past and future heatwaves based on a heat-associated mortality threshold: towards a heat health warning system. Environ Health 2022; 21:112. [PMID: 36401226 PMCID: PMC9675182 DOI: 10.1186/s12940-022-00921-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Heatwaves can have severe impacts on human health extending from illness to mortality. These health effects are related to not only the physical phenomenon of heat itself but other characteristics such as frequency, intensity, and duration of heatwaves. Therefore, understanding heatwave characteristics is a crucial step in the development of heat-health warning systems (HHWS) that could prevent or reduce negative heat-related health outcomes. However, there are no South African studies that have quantified heatwaves with a threshold that incorporated a temperature metric based on a health outcome. To fill this gap, this study aimed to assess the spatial and temporal distribution and frequency of past (2014 - 2019) and future (period 2020 - 2039) heatwaves across South Africa. Heatwaves were defined using a threshold for diurnal temperature range (DTR) that was found to have measurable impacts on mortality. In the current climate, inland provinces experienced fewer heatwaves of longer duration and greater intensity compared to coastal provinces that experienced heatwaves of lower intensity. The highest frequency of heatwaves occurred during the austral summer accounting for a total of 150 events out of 270 from 2014 to 2019. The heatwave definition applied in this study also identified severe heatwaves across the country during late 2015 to early 2016 which was during the strongest El Niño event ever recorded to date. Record-breaking global temperatures were reported during this period; the North West province in South Africa was the worst affected experiencing heatwaves ranging from 12 to 77 days. Future climate analysis showed increasing trends in heatwave events with the greatest increases (80%-87%) expected to occur during summer months. The number of heatwaves occurring in cooler seasons is expected to increase with more events projected from the winter months of July and August, onwards. The findings of this study show that the identification of provinces and towns that experience intense, long-lasting heatwaves is crucial to inform development and implementation of targeted heat-health adaptation strategies. These findings could also guide authorities to prioritise vulnerable population groups such as the elderly and children living in high-risk areas likely to be affected by heatwaves.
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Affiliation(s)
- Thandi Kapwata
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, 2028, South Africa.
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, 0028, South Africa.
| | - Michael T Gebreslasie
- School of Agriculture, Earth, and Environmental Sciences, University of KwaZulu-Natal, Durban, 3629, South Africa
| | - Caradee Y Wright
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, 0028, South Africa
- Environment and Health Research Unit, South African Medical Research Council, Pretoria, 0084, South Africa
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12
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Cicci KR, Maltby A, Clemens KK, Vicedo-Cabrera AM, Gunz AC, Lavigne É, Wilk P. High Temperatures and Cardiovascular-Related Morbidity: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811243. [PMID: 36141512 PMCID: PMC9517671 DOI: 10.3390/ijerph191811243] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 05/27/2023]
Abstract
The primary objective of this review was to synthesize studies assessing the relationships between high temperatures and cardiovascular disease (CVD)-related hospital encounters (i.e., emergency department (ED) visits or hospitalizations) in urban Canada and other comparable populations, and to identify areas for future research. Ovid MEDLINE, EMBASE, CINAHL, Cochrane Database of Systematic Reviews, and Scopus were searched between 6 April and 11 April 2020, and on 21 March 2021, to identify articles examining the relationship between high temperatures and CVD-related hospital encounters. Studies involving patients with pre-existing CVD were also included. English language studies from North America and Europe were included. Twenty-two articles were included in the review. Studies reported an inconsistent association between high temperatures and ischemic heart disease (IHD), heart failure, dysrhythmia, and some cerebrovascular-related hospital encounters. There was consistent evidence that high temperatures may be associated with increased ED visits and hospitalizations related to total CVD, hyper/hypotension, acute myocardial infarction (AMI), and ischemic stroke. Age, sex, and gender appear to modify high temperature-CVD morbidity relationships. Two studies examined the influence of pre-existing CVD on the relationship between high temperatures and morbidity. Pre-existing heart failure, AMI, and total CVD did not appear to affect the relationship, while evidence was inconsistent for pre-existing hypertension. There is inconsistent evidence that high temperatures are associated with CVD-related hospital encounters. Continued research on this topic is needed, particularly in the Canadian context and with a focus on individuals with pre-existing CVD.
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Affiliation(s)
- Kendra R. Cicci
- Department of Epidemiology and Biostatistics, Western University, London, ON N6G 2M1, Canada
| | - Alana Maltby
- Department of Epidemiology and Biostatistics, Western University, London, ON N6G 2M1, Canada
| | - Kristin K. Clemens
- Department of Epidemiology and Biostatistics, Western University, London, ON N6G 2M1, Canada
- Lawson Health Research Institute, London, ON N6C 2R5, Canada
- Department of Medicine, Western University, London, ON N6A 5A5, Canada
- ICES, London, ON N6A 5W9, Canada
- St. Joseph’s Health Care, London, ON N6A 4V2, Canada
| | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, 3012 Bern, Switzerland
| | - Anna C. Gunz
- Department of Paediatrics, Western University, London, ON N6A 5W9, Canada
- Child Health Research Institute, London, ON N6A 5W9, Canada
| | - Éric Lavigne
- Air Health Science Division, Health Canada, Ottawa, ON K1A 0K9, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1G 5Z3, Canada
| | - Piotr Wilk
- Department of Epidemiology and Biostatistics, Western University, London, ON N6G 2M1, Canada
- Lawson Health Research Institute, London, ON N6C 2R5, Canada
- ICES, London, ON N6A 5W9, Canada
- Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland
- Department of Paediatrics, Western University, London, ON N6A 5W9, Canada
- Child Health Research Institute, London, ON N6A 5W9, Canada
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13
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Kharwadkar S, Attanayake V, Duncan J, Navaratne N, Benson J. The impact of climate change on the risk factors for tuberculosis: A systematic review. ENVIRONMENTAL RESEARCH 2022; 212:113436. [PMID: 35550808 DOI: 10.1016/j.envres.2022.113436] [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: 02/18/2022] [Revised: 04/03/2022] [Accepted: 05/04/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Tuberculosis (TB) continues to pose a major public health risk in many countries. The current incidence of disease exceeds guidelines proposed by the World Health Organisation and United Nations. Whilst the relationship between climate change and TB has surfaced in recent literature, it remains neglected in global agendas. There is a need to acknowledge TB as a climate-sensitive disease to facilitate its eradication. OBJECTIVE To review epidemiological and prediction model studies that explore how climate change may affect the risk factors for TB, as outlined in the Global Tuberculosis Report 2021: HIV infection, diabetes mellitus, undernutrition, overcrowding, poverty, and indoor air pollution. METHODS We conducted a systematic literature search of PubMed, Embase, and Scopus databases to identify studies examining the association between climate variables and the risk factors for TB. Each study that satisfied the inclusion criteria was assessed for quality and ethics. Studies then underwent vote-counting and were categorised based on whether an association was found. RESULTS 53 studies met inclusion criteria and were included in our review. Vote-counting revealed that two out of two studies found a positive association between the examined climate change proxy and HIV, nine out of twelve studies for diabetes, eight out of seventeen studies for undernutrition, four out of five studies for overcrowding, twelve out of fifteen studies for poverty and one out of three studies for indoor air pollution. DISCUSSION We found evidence supporting a positive association between climate change and each of the discussed risk factors for TB, excluding indoor air pollution. Our findings suggest that climate change is likely to affect the susceptibility of individuals to TB by increasing the prevalence of its underlying risk factors, particularly in developing countries. This is an evolving field of research that requires further attention in the scientific community.
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Affiliation(s)
- Sahil Kharwadkar
- School of Medicine, The University of Adelaide, Australia; School of Public Health, The University of Adelaide, Australia.
| | | | - John Duncan
- School of Medicine, The University of Adelaide, Australia.
| | | | - Jill Benson
- Discipline of General Practice, School of Medicine, The University of Adelaide, Australia.
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14
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Davis RE, Driskill EK, Novicoff WM. The Association between Weather and Emergency Department Visitation for Diabetes in Roanoke, Virginia. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:1589-1597. [PMID: 35583606 DOI: 10.1007/s00484-022-02303-4] [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: 01/10/2022] [Revised: 04/12/2022] [Accepted: 05/09/2022] [Indexed: 06/15/2023]
Abstract
Diabetes mellitus imposes a significant and increasing health burden on the US population. Our objective is to determine if weather is related to daily variations in emergency department (ED) visits for diabetes mellitus in Roanoke, Virginia. A time series of daily ED visits for diabetes mellitus at the Carilion Clinic in southwestern Virginia is associated with daily minimum temperature from 2010-2017. Associations between ED visits (through a 14-day lag period) and temperature are examined using generalized additive models and distributed lag nonlinear models. Heat and cold waves are identified at low and high thresholds, and ED visitation during these events is compared to prior control periods using a time-stratified case crossover approach. ED visits for diabetes exhibit a U-shaped relationship with temperature, with a higher relative risk (RR) during cold events (RR = 1.05) vs. warm events (RR = 1.02). When minimum temperatures are below freezing, ED visitation peaks starting 2 days afterward, with RRs approaching 1.04. The RR on warm days (minimum temperature > 10 °C) approaches 1.02 but peaks on the day of or the day following the elevated temperatures. Cold waves increase the odds of ED visits by up to 11% (p = 0.01), whereas heat waves exhibit no significant effect (p = 0.07). The increasing health burden linked to diabetes requires new research on environmental factors that might exacerbate related illness. When examined in the context of climate change impacts on local weather variations, these kinds of linkages between environment and disease can aid in facility staffing and public health messaging during extreme weather events.
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Affiliation(s)
- Robert E Davis
- Department of Environmental Sciences, University of Virginia, P.O. Box 400123, Charlottesville, VA, 22904-4123, USA.
| | - Elizabeth K Driskill
- School of Medicine, University of Virginia, P.O. Box 800159HSC, Charlottesville, VA, 22908, USA
| | - Wendy M Novicoff
- Departments of Public Health and Orthopaedic Surgery, School of Medicine, University of Virginia, P.O. Box 800159HSC, Charlottesville, VA, 22908, USA
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15
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Bauer F, Lindtke J, Seibert F, Rohn B, Doevelaar A, Babel N, Schlattmann P, Bertram S, Zgoura P, Westhoff TH. Impact of weather changes on hospital admissions for hypertension. Sci Rep 2022; 12:5716. [PMID: 35383236 PMCID: PMC8983729 DOI: 10.1038/s41598-022-09644-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 02/17/2022] [Indexed: 11/09/2022] Open
Abstract
Blood pressure (BP) shows a seasonal variation with higher levels at lower temperatures. Many hypertensives, however, report on BP disturbances rather in association with acutely changing weather conditions than with absolute temperatures. To date, the impact of changing meteorological parameters on hypertensive episodes remains elusive. We performed a retrospective time series regression analysis on 203,703 patients in three hospitals in Germany between 2010 and 2018, of whom 7362 patients were admitted for hypertensive disease. Numbers of daily admissions for hypertension were associated with metereological data obtained from three nearby weather stations. Data comprised temperature (mean, maximal, minimal and range within 24 h), athmospheric pressure, and precipitation. Changes of these parameters were calculated over a two and three day period. There was an inverse correlation between maximal daily temperature and the number of admissions for hypertensive disease, which remained significant both after adjustment for seasonality and week day in a spline model and in a constrained distributed lag model. A decrease of maximal temperature by 5 °C was associated with a 3% increase of risk for admission for hypertension and vice versa. There were no significant effects of precipitation and athmospheric pressure on the number of admissions. With regard to all observed metereological parameters, neither the change within two, nor within three days was consistently associated with the number of daily admissions. High temperatures are associated with lower numbers of hypertensive episodes requiring hospital admission. In contrast to the subjective perception of many hypertensive patients, however, acutely changing weather conditions are not associated with a higher risk of hypertensive emergency.
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Affiliation(s)
- Frederic Bauer
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany
| | - Janine Lindtke
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany
| | - Felix Seibert
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany
| | - Benjamin Rohn
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany
| | - Adrian Doevelaar
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany
| | - Nina Babel
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany
| | - Peter Schlattmann
- Department of Medical Statistics, Informatics and Data Science, Jena University Hospital, Jena, Germany
| | - Sebastian Bertram
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany
| | - Panagiota Zgoura
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany
| | - Timm H Westhoff
- Department of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
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16
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Wu H, Wang Z, Li M, Liu Q, Liu W, Qiao Z, Bai T, Liu Y, Zhang C, Sun P, Wei S, Bai H. A systematic review and meta-analysis of seasonal and monthly variability in the incidence of acute aortic dissection. Ann Vasc Surg 2022; 85:383-394. [DOI: 10.1016/j.avsg.2022.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 03/31/2022] [Accepted: 04/07/2022] [Indexed: 11/01/2022]
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17
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Lin YK, Zafirah Y, Ke MT, Andhikaputra G, Wang YC. The effects of extreme temperatures on emergency room visits-a population-based analysis by age, sex, and comorbidity. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2021; 65:2087-2098. [PMID: 34173056 DOI: 10.1007/s00484-021-02166-1] [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: 02/16/2021] [Revised: 05/02/2021] [Accepted: 06/16/2021] [Indexed: 06/13/2023]
Abstract
This study evaluated the effect of extreme temperatures on events requiring emergency room visits (ERVs) for hypertensive disease, ischemic heart disease (IHD), cerebrovascular disease, and chronic kidney disease (CKD) for population stratified by sex and age living in Taiwan's metropolitan city from 2000 to 2014. The distributed lag non-linear model was adopted to examine the association between ambient temperature and area-age-sex-disease-specific ERVs for a population aged 40 years and above. The reference temperature was defined by a percentile value to describe the temperature in each city. Area-age-sex-disease-specific relative risk (RR) and 95% confidence intervals (CI) were estimated in association with extreme high (99th percentile) and low (5th percentile) temperatures. Temperature-related ERV risks varied by area, age, sex, and disease. Patients with CKD tend to have comorbidities with hypertensive disease. All study populations with hypertensive disease have significant risk associations with extreme low temperatures with the highest RR of 2.64 (95% CI: 2.08, 3.36) appearing in New Taipei City. The risk of IHD was significantly associated with extreme high temperature for male subpopulation aged 40-64 years. A less significant association was observed between the risks of cerebrovascular disease with extreme temperature. The risk of CKD was most significantly associated with extreme high temperature especially for a subpopulation aged 40-64 years. All study subpopulations with hypertensive disease have significant risk associations with extreme low temperature. Male subpopulations were more vulnerable to extreme temperatures, especially for those aged 40-64 years.
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Affiliation(s)
- Yu-Kai Lin
- Department of Health and Welfare, University of Taipei, 101 Zhongcheng Road Sec. 2, Taipei, 111, Taiwan
| | - Yasmin Zafirah
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, 200 Chung-Pei Road, Zhongli, 320, Taiwan
| | - Meng-Ting Ke
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, 200 Chung-Pei Road, Zhongli, 320, Taiwan
| | - Gerry Andhikaputra
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, 200 Chung-Pei Road, Zhongli, 320, Taiwan
| | - Yu-Chun Wang
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, 200 Chung-Pei Road, Zhongli, 320, Taiwan.
- Research Center for Environmental Changes, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan.
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18
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Song X, Jiang L, Zhang D, Wang X, Ma Y, Hu Y, Tang J, Li X, Huang W, Meng Y, Shi A, Feng Y, Zhang Y. Impact of short-term exposure to extreme temperatures on diabetes mellitus morbidity and mortality? A systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:58035-58049. [PMID: 34105073 DOI: 10.1007/s11356-021-14568-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/20/2021] [Indexed: 05/27/2023]
Abstract
The relationship between diabetes mellitus and short-term exposure to extreme temperatures remains controversial. A systematic review and meta-analysis were performed to assess the association between extreme temperatures and diabetes mellitus morbidity and mortality. PubMed, Embase, the Cochrane Library, Web of Science, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched since inception to January 1, 2019, and updated on November 17, 2020. The results were combined using random effects model and reported as relative risk (RR) with 95% confidence interval (CI). In total, 32 studies met the inclusion criteria. (1) Both heat and cold exposures have impact on diabetes. (2) For heat exposure, the subgroup analysis revealed that the effect on diabetes mortality (RR=1.139, 95% CI: 1.089-1.192) was higher than morbidity (RR=1.012, 95% CI: 1.004-1.019). (3) With the increase of definition threshold, the impact of heat exposure on diabetes rose. (4) A stronger association between heat exposure and diabetes was observed in the elderly (≥ 60 years old) (RR=1.040, 95% CI: 1.017-1.064). In conclusion, short-term exposure to both heat and cold temperatures has impact on diabetes. The elderly is the vulnerable population of diabetes exposure to heat temperature. Developing definitions of heatwaves at the regional level are suggested.
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Affiliation(s)
- Xuping Song
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Liangzhen Jiang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Dongdong Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Xinyi Wang
- Second Clinical College, Lanzhou University, Lanzhou, 730000, China
| | - Yan Ma
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yue Hu
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Jing Tang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Xiayang Li
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Wenqiang Huang
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, China
| | - Yuan Meng
- Laboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, 310000, China
| | - Anchen Shi
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi, 710061, China
| | - Yan Feng
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yan Zhang
- Gansu Province Hospital Rehabilitation Center, 53 Dingxi Road, Chengguan District, Lanzhou, 730000, Gansu, China.
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Luo ZR, Lin ZQ, Chen LW, Qiu HF. Effects of seasonal and climate variations on in-hospital mortality and length of stay in patients with type A aortic dissection. J Cardiothorac Surg 2021; 16:252. [PMID: 34496919 PMCID: PMC8424972 DOI: 10.1186/s13019-021-01639-z] [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] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 08/29/2021] [Indexed: 11/10/2022] Open
Abstract
Objective To investigate the effects of seasonal and climatic changes on postoperative in-hospital mortality and length of stay (LOS) in patients with type A acute aortic dissection (AAD). Methods Patients undergoing implantation of the modified triple-branched stent graft to replace the descending aorta in addition to aortic root reconstruction for type A AAD in our hospital from January 2016 to December 2019 were included. Relevant data were retrospectively collected and analyzed. Results A total of 404 patients were included in our analyses. The multivariate unconditional logistic regression analysis showed that patients admitted in autumn (OR 4.027, 95% CI 1.023–17.301, P = 0.039) or with coronary heart disease (OR 8.938, 95% CI 1.991–29.560, P = 0.049) were independently associated with an increased risk of postoperative in-hospital mortality. Furthermore, patients admitted in autumn (OR 5.956, 95% CI 2.719–7.921, P = 0.041) or with hypertension (OR 3.486, 95% CI 1.192–5.106, P = 0.035) were independently associated with an increased risk of longer LOS. Conclusion Patients admitted in autumn or with coronary heart disease are at higher risk of in-hospital mortality following surgery for type A AAD. Also, patients admitted in autumn or with hypertension have a longer hospital LOS. In the autumn of the temperature transition, we may need to strengthen the management of medical quality after surgery for type A AAD.
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Affiliation(s)
- Zeng-Rong Luo
- Department of Cardiovascular Surgery and Cardiac Disease Center, Union Hospital, Fujian Medical University, Fuzhou, 350001, People's Republic of China.,Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, People's Republic of China
| | - Zhi-Qin Lin
- Department of Cardiovascular Surgery and Cardiac Disease Center, Union Hospital, Fujian Medical University, Fuzhou, 350001, People's Republic of China.,Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, People's Republic of China
| | - Liang-Wan Chen
- Department of Cardiovascular Surgery and Cardiac Disease Center, Union Hospital, Fujian Medical University, Fuzhou, 350001, People's Republic of China.,Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, People's Republic of China
| | - Han-Fan Qiu
- Department of Cardiovascular Surgery and Cardiac Disease Center, Union Hospital, Fujian Medical University, Fuzhou, 350001, People's Republic of China. .,Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, People's Republic of China.
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20
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Vallianou NG, Geladari EV, Kounatidis D, Geladari CV, Stratigou T, Dourakis SP, Andreadis EA, Dalamaga M. Diabetes mellitus in the era of climate change. DIABETES & METABOLISM 2021; 47:101205. [DOI: 10.1016/j.diabet.2020.10.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 10/07/2020] [Accepted: 10/12/2020] [Indexed: 12/29/2022]
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21
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Heat, Heatwaves and Cardiorespiratory Hospital Admissions in Helsinki, Finland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17217892. [PMID: 33126485 PMCID: PMC7663418 DOI: 10.3390/ijerph17217892] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/16/2020] [Accepted: 10/27/2020] [Indexed: 01/03/2023]
Abstract
Background: There is a lack of knowledge concerning the effects of ambient heat exposure on morbidity in Northern Europe. Therefore, this study aimed to evaluate the relationships of daily summertime temperature and heatwaves with cardiorespiratory hospital admissions in the Helsinki metropolitan area, Finland. Methods: Time series models adjusted for potential confounders, such as air pollution, were used to investigate the associations of daily temperature and heatwaves with cause-specific cardiorespiratory hospital admissions during summer months of 2001-2017. Daily number of hospitalizations was obtained from the national hospital discharge register and weather information from the Finnish Meteorological Institute. Results: Increased daily temperature was associated with a decreased risk of total respiratory hospital admissions and asthma. Heatwave days were associated with 20.5% (95% CI: 6.9, 35.9) increased risk of pneumonia admissions and during long or intense heatwaves also with total respiratory admissions in the oldest age group (≥75 years). There were also suggestive positive associations between heatwave days and admissions due to myocardial infarction and cerebrovascular diseases. In contrast, risk of arrhythmia admissions decreased 20.8% (95% CI: 8.0, 31.8) during heatwaves. Conclusions: Heatwaves, rather than single hot days, are a health threat affecting morbidity even in a Northern climate.
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22
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Luo ZR, Yu LL, Huang ST, Chen LW, Chen Q. Impact of meteorological factors on the occurrence of acute aortic dissection in Fujian Province, China: a single-center seven-year retrospective study. J Cardiothorac Surg 2020; 15:178. [PMID: 32690094 PMCID: PMC7372770 DOI: 10.1186/s13019-020-01227-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 07/15/2020] [Indexed: 01/16/2023] Open
Abstract
Background The aim of this study was to investigate the correlation between meteorological factors and the occurrence of acute aortic dissection (AAD) in Fujian Province, China. Methods The clinical data of 2004 patients diagnosed with AAD in our hospital and the relevant local meteorological data from January 2013 to November 2019 were retrospectively analyzed. Results The incidence of AAD had a clear tendency toward concentration, and the corresponding peak in terms of the occurrence date was from January 13 to 14. The average minimum temperature, the average maximum temperature, and the average daily temperature differences on the “day with AAD” were significantly lower than those on the “day without AAD”. From 5 days to 3 days before AAD onset, the average daily temperature difference showed a downward trend, but statistical analysis showed that the average minimum, average maximum and average daily temperature differences were not significantly different from the values 5 days to 0 days before AAD onset. Conclusions The incidence of AAD is related to the season and month. The lowest average temperature may increase the incidence of AAD in patients with complicated cardiovascular diseases.
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Affiliation(s)
- Zeng-Rong Luo
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, China
| | - Ling-Li Yu
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, China
| | - Shu-Ting Huang
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, China
| | - Liang-Wan Chen
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, China
| | - Qiang Chen
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, China.
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23
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Impact of Relative Change in Temperature and Atmospheric Pressure on Acute Aortic Syndrome Occurrence in France. Sci Rep 2020; 10:76. [PMID: 31919377 PMCID: PMC6952440 DOI: 10.1038/s41598-019-56841-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 11/14/2019] [Indexed: 11/08/2022] Open
Abstract
Acute aortic syndromes (AAS) have been related to significant circadian and seasonal conditions. We used time series analyses to study the impact of meteorological variations on AAS occurrence. We retrospectively assessed 140 patients presenting with AAS over a 6-year period in a French university hospital. Average daily temperature (T) and atmospheric pressure (AP) at the location of the event were collected within the previous 10 days, and their association with AAS investigated with generalized additive models. A decrease in temperature of more than 5 °C within the previous seven days was significantly associated with an increased risk of AAS occurrence (OR equal to 1.86 [1.06; 3.44]). Subgroup analysis revealed that the risk was only significant among normotensive individuals (n = 41) free from blood pressure lowering medication (OR equal to 2.3 [1.05; 5.37]), but not among hypertensive individuals under blood pressure lowering medication despite a larger patient number (n = 99). Similarly, only among the subgroup of normotensive individuals a decrease of AP between 2 and 4 kPa within the previous 3 days was associated with an increased risk of AAS (OR equal to 2.93 [1.1; 8.15]) and an increased between 2 and 4 kPa was associated with a decreased risk (OR equal to 0.59 [0.36; 1.00]). Variations of meteorological conditions (temperature and AP) within the previous week seem to have effects on triggering AAS especially among the population free from blood pressure lowering medication.
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24
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Richardson MB, Chmielewski C, Wu CYH, Evans MB, McClure LA, Hosig KW, Gohlke JM. The effect of time spent outdoors during summer on daily blood glucose and steps in women with type 2 diabetes. J Behav Med 2019; 43:783-790. [PMID: 31677087 DOI: 10.1007/s10865-019-00113-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Accepted: 10/12/2019] [Indexed: 12/25/2022]
Abstract
This study investigated changes in glycemic control following a small increase in time spent outdoors. Women participants with type 2 diabetes (N = 46) wore an iBUTTON temperature monitor and a pedometer for 1 week and recorded their morning fasting blood glucose (FBG) daily. They went about their normal activities for 2 days (baseline) and were asked to add 30 min of time outdoors during Days 3-7 (intervention). Linear mixed effects models were used to test whether morning FBG values were different on days following intervention versus baseline days, and whether steps and/or heat exposure changed. Results were stratified by indicators of good versus poor glycemic control prior to initiation of the study. On average, blood glucose was reduced by 6.1 mg/dL (95% CI - 11.5, - 0.6) on mornings after intervention days after adjusting for age, BMI, and ambient weather conditions. Participants in the poor glycemic control group (n = 16) experienced a 15.8 mg/dL decrease (95% CI - 27.1, - 4.5) in morning FBG on days following the intervention compared to a 1.6 mg/dL decrease (95%CI - 7.7, 4.5) for participants in the good glycemic control group (n = 30). Including daily steps or heat exposure did not attenuate the association between intervention and morning FBG. The present study suggests spending an additional 30 min outdoors may improve glycemic control; however, further examination with a larger sample over a longer duration and determination of mediators of this relationship is warranted.
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Affiliation(s)
- Molly B Richardson
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA, USA
| | | | - Connor Y H Wu
- Department of Geospatial Informatics, Troy University, Troy, AL, USA
| | - Mary B Evans
- Center for the Study of Community Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Leslie A McClure
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA, USA
| | - Kathryn W Hosig
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA, USA
- Center for Public Health Practice and Research, Virginia Tech, Blacksburg, VA, USA
| | - Julia M Gohlke
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA, USA.
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25
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Lee JY, Kim H, Gasparrini A, Armstrong B, Bell ML, Sera F, Lavigne E, Abrutzky R, Tong S, Coelho MDSZS, Saldiva PHN, Correa PM, Ortega NV, Kan H, Garcia SO, Kyselý J, Urban A, Orru H, Indermitte E, Jaakkola JJK, Ryti NRI, Pascal M, Goodman PG, Zeka A, Michelozzi P, Scortichini M, Hashizume M, Honda Y, Hurtado M, Cruz J, Seposo X, Nunes B, Teixeira JP, Tobias A, Íñiguez C, Forsberg B, Åström C, Vicedo-Cabrera AM, Ragettli MS, Guo YLL, Chen BY, Zanobetti A, Schwartz J, Dang TN, Do Van D, Mayvaneh F, Overcenco A, Li S, Guo Y. Predicted temperature-increase-induced global health burden and its regional variability. ENVIRONMENT INTERNATIONAL 2019; 131:105027. [PMID: 31351381 DOI: 10.1016/j.envint.2019.105027] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 06/24/2019] [Accepted: 07/15/2019] [Indexed: 06/10/2023]
Abstract
An increase in the global health burden of temperature was projected for 459 locations in 28 countries worldwide under four representative concentration pathway scenarios until 2099. We determined that the amount of temperature increase for each 100 ppm increase in global CO2 concentrations is nearly constant, regardless of climate scenarios. The overall average temperature increase during 2010-2099 is largest in Canada (1.16 °C/100 ppm) and Finland (1.14 °C/100 ppm), while it is smallest in Ireland (0.62 °C/100 ppm) and Argentina (0.63 °C/100 ppm). In addition, for each 1 °C temperature increase, the amount of excess mortality is increased largely in tropical countries such as Vietnam (10.34%p/°C) and the Philippines (8.18%p/°C), while it is decreased in Ireland (-0.92%p/°C) and Australia (-0.32%p/°C). To understand the regional variability in temperature increase and mortality, we performed a regression-based modeling. We observed that the projected temperature increase is highly correlated with daily temperature range at the location and vulnerability to temperature increase is affected by health expenditure, and proportions of obese and elderly population.
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Affiliation(s)
- Jae Young Lee
- Graduate School of Public Health, Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Ho Kim
- Graduate School of Public Health, Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea.
| | - Antonio Gasparrini
- Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, UK
| | - Ben Armstrong
- Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, UK
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
| | - Francesco Sera
- Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, UK
| | - Eric Lavigne
- Air Health Science Division, Health Canada, Ottawa, ON, Canada; School of Epidemiology & Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Rosana Abrutzky
- Universidad de Buenos Aires, Facultad de Ciencias Sociales, Instituto de Investigaciones Gino Germani, Buenos Aires, Argentina
| | - Shilu Tong
- School of Public Health, Institute of Environment and Human Health, Anhui Medical University, Hefei, China; Shanghai Children's Medical Centre, Shanghi Jiao-Tong University, Shanghai, China; School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia
| | - Micheline de Sousa Zanotti Stagliorio Coelho
- Institute of Advanced Studies of the University of São Paulo, São Paulo, Brazil; Climate Change Cluster, Faculty of Sciences, University of Technology-Sydney, Sydney, Australia
| | | | | | | | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai, China
| | | | - 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
| | - Aleš Urban
- Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic
| | - Hans Orru
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia; Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Ene Indermitte
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research, University of Oulu, Oulu, Finland
| | - Niilo R I Ryti
- Center for Environmental and Respiratory Health Research, University of Oulu, Oulu, Finland
| | - Mathilde Pascal
- Santé Publique France, French National Public Health Agency, Saint Maurice, France
| | | | - Ariana Zeka
- Institute of Environment, Health and Societies, Brunel University London, London, UK
| | - Paola Michelozzi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | | | - Masahiro Hashizume
- Department of Pediatric Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Yasushi Honda
- Faculty of Health and Sport Science, University of Tsukuba, Tsukuba, Japan
| | - Magali Hurtado
- Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Julio Cruz
- Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Xerxes Seposo
- Department of Environmental Engineering, Kyoto University, Kyoto, Japan
| | - Baltazar Nunes
- Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal
| | - João Paulo Teixeira
- Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
| | - Aurelio Tobias
- Institute of Environmental Assessment and Water Research, Spanish Council for Scientific Research, Barcelona, Spain
| | - Carmen Íñiguez
- Department of Statistics and Computational Research, University of Valencia, Environmental Health Joint Research Unit FiSABIO-UV-UJI CIBERESP, Spain
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Christofer Åström
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Ana Maria Vicedo-Cabrera
- Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, UK
| | - Martina S Ragettli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Yue-Liang Leon Guo
- Environmental and Occupational Medicine, National Taiwan University, NTU Hospital, Taipei, Taiwan
| | - Bing-Yu Chen
- Environmental and Occupational Medicine, National Taiwan University, NTU Hospital, Taipei, Taiwan
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tran Ngoc Dang
- Faculty of Public Health, University of Medicine and Pharmacy of Ho Chi Minh City, Ho Chi Minh City, Viet Nam; The Institute of Research and Development, Duy Tan University, Da Nang, Viet Nam
| | - Dung Do Van
- Faculty of Public Health, University of Medicine and Pharmacy of Ho Chi Minh City, Ho Chi Minh City, Viet Nam
| | - Fetemeh Mayvaneh
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617916487, Khorasan Razavi, Iran
| | - Ala Overcenco
- Laboratory of Management in Science and Public Health, National Agency for Public Health of the Ministry of Health of R. Moldova, Chisinau, Republic of Moldova
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, 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; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Martínez-Solanas È, Basagaña X. Temporal changes in the effects of ambient temperatures on hospital admissions in Spain. PLoS One 2019; 14:e0218262. [PMID: 31194811 PMCID: PMC6564013 DOI: 10.1371/journal.pone.0218262] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 05/29/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The exposure to extreme ambient temperatures has been reported to increase mortality, although less is known about its impact on morbidity. The analysis of temporal changes in temperature-health associations has also focused on mortality with no studies on hospitalizations worldwide. Studies on temporal variations can provide insights on changes in susceptibility or on effectiveness of public health interventions. We aimed to analyse the effects of temperature on cause-specific hospital admissions in Spain and assess temporal changes using two periods, the second one characterized by the introduction of a heat health prevention plan. METHODS Daily counts of non-scheduled hospital admissions for cardiovascular, cerebrovascular and respiratory diseases and daily maximum temperature were obtained for each Spanish province for the period 1997-2013. The relationship between temperature and hospitalizations was estimated using distributed lag non-linear models. We compared the risk of hospitalization due to temperatures (cold, heat and extreme heat) in two periods (1997-2002 and 2004-2013). RESULTS Cold temperatures were associated with increased risk of cardiovascular, cerebrovascular and respiratory hospital admissions. Hot temperatures were only associated with higher hospital admissions for respiratory causes while hospitalizations for cardiovascular and cerebrovascular diseases did not increase with heat. There was a small reduction in heat-related respiratory admissions in period 2. Whereas cold-related hospitalizations for cardiovascular and cerebrovascular diseases increased in period 2, a significant reduction for respiratory hospitalizations was reported. CONCLUSIONS Our results suggested that heat had an adverse impact on hospital admissions for respiratory diseases, while cold increased the risk of the three studied cause-specific hospitalizations. Public health interventions should also focus on morbidity effects of temperature.
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Affiliation(s)
- Èrica Martínez-Solanas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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27
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Gu S, Huang R, Yang J, Sun S, Xu Y, Zhang R, Wang Y, Lu B, He T, Wang A, Bian G, Wang Q. Exposure-lag-response association between sunlight and schizophrenia in Ningbo, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 247:285-292. [PMID: 30685669 DOI: 10.1016/j.envpol.2018.12.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 12/08/2018] [Accepted: 12/09/2018] [Indexed: 06/09/2023]
Abstract
Previous studies found that mental disorders such as bipolar disorder, seasonal affective disorder and schizophrenia, often show seasonal variability, which usually be attributed to the variations in the number of natural sunlight. However, few studies have been conducted on the acute effects of exposure to sunlight on the onset of these disease. The aim of this study was to evaluate the exposure-response relationship between sunshine duration and the hospital admissions for schizophrenia. We obtained data on hospital admissions for schizophrenia from the largest psychiatric hospital in Ningbo, China, during 2012-2016. A Distributed lag non-linear model was used to estimate the exposure-lag-response relationship between sunlight and schizophrenia. We calculated the effects of short and long sunshine duration, defined using the cutoffs at the 1st and 99th sunshine duration percentiles. We detected significant and non-linear associations between sunlight and schizophrenia, and the overall estimated relative risk (RR) for a lag of 0-21 days was 1.45 (95% CI: 1.07, 1.97) and 1.41(95% CI: 0.72, 2.75) for short and long sunshine duration, respectively. The burden of schizophrenia was greater during periods with short sunshine duration than during periods with long sunshine duration, with the AFs of 19.94% (95% CI: 8.65%, 28.24%) and 2.12% (95% CI: -2.70%, 5.57%), respectively. The female and people more than 45 years old were most susceptible to these effects. We repeated our analysis by using global solar radiation as a continuous exposure variable of sunlight intensity in the model, and the result shows that the female and middle-aged and eldly patients were also susceptible to the effects of low levels of global solar radiation. Our findings suggest that there may be a relationship between lack of exposure to sunlight and increased risk of hospital admissions for schizophrenia. Policymakers and doctors should promote further understanding of the health benefits of sunlight and take effective measures to prevent schizophrenia.
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Affiliation(s)
- Shaohua Gu
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, 315010, China.
| | - Ruixue Huang
- Xiangya School of Public Health, Central South University, Hunan, 361000, China.
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 510000, China.
| | - Shiqiang Sun
- Ningbo Meteorological Bureau, Ningbo, 315000, China.
| | - Yiner Xu
- Ningbo Kangning Hospital, Ningbo, 315000, China.
| | | | - Yunfeng Wang
- Ningbo Kangning Hospital, Ningbo, 315000, China.
| | - Beibei Lu
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, 315010, China.
| | - Tianfeng He
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, 315010, China.
| | - Aihong Wang
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, 315010, China.
| | - Guolin Bian
- Ningbo Kangning Hospital, Ningbo, 315000, China.
| | - Qunli Wang
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, 315010, China.
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28
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Zhao Q, Li S, Coelho MSZS, Saldiva PHN, Hu K, Arblaster JM, Nicholls N, Huxley RR, Abramson MJ, Guo Y. Geographic, Demographic, and Temporal Variations in the Association between Heat Exposure and Hospitalization in Brazil: A Nationwide Study between 2000 and 2015. ENVIRONMENTAL HEALTH PERSPECTIVES 2019; 127:17001. [PMID: 30620212 PMCID: PMC6371650 DOI: 10.1289/ehp3889] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
BACKGROUND Limited evidence is available regarding the association between heat exposure and morbidity in Brazil and how the effect of heat exposure on health outcomes may change over time. OBJECTIVES This study sought to quantify the geographic, demographic and temporal variations in the heat–hospitalization association in Brazil from 2000–2015. METHODS Data on hospitalization and meteorological conditions were collected from 1,814 cities during the 2000–2015 hot seasons. Quasi-Poisson regression with constrained lag model was applied to examine city-specific estimates, which were then pooled at the regional and national levels using random-effect meta-analyses. Stratified analyses were performed by sex, 10 age groups, and 11 cause categories. Meta-regression was used to examine the temporal change in estimates of heat effect from 2000 to 2015. RESULTS For every 5°C increase in daily mean temperature during the 2000–2015 hot seasons, the estimated risk of hospitalization over lag 0-7 d rose by 4.0% [95% confidence interval (CI): 3.7%, 4.3%] nationwide. Estimated 6.2% [95% empirical CI (eCI): 3.3%, 9.1%] of hospitalizations were attributable to heat exposure, equating to 132 cases (95% eCI: 69%, 192%) per 100,000 residents. The attributable rate was greatest in children [Formula: see text] and was highest for hospitalizations due to infectious and parasitic diseases. Women of reproductive age and those [Formula: see text] had higher heat burden than men. The attributable burden was greatest for cities in the central west and the inland of the northeast; lowest in the north and eastern coast. Over the 16-y period, the estimated heat effects declined insignificantly at the national level. CONCLUSIONS In Brazil's hot seasons, 6% of hospitalizations were estimated to be attributed to heat exposure. As there was no evidence indicating that thermal adaptation had occurred at the national level, the burden of hospitalization associated with heat exposure in Brazil is likely to increase in the context of global warming. https://doi.org/10.1289/EHP3889.
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Affiliation(s)
- Qi Zhao
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Paulo H N Saldiva
- Institute of Advanced Studies, University of São Paulo, São Paulo, Brazil
| | - Kejia Hu
- Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University, Zhoushan, China
| | - Julie M Arblaster
- School of Earth, Atmosphere and Environment, Monash University, Melbourne, Australia
- Centre of Excellence for Climate Extremes, Australian Research Council, Sydney, Australia
| | - Neville Nicholls
- School of Earth, Atmosphere and Environment, Monash University, Melbourne, Australia
| | - Rachel R Huxley
- College of Science, Health and Engineering, La Trobe University, Melbourne, Australia
| | - Michael J Abramson
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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29
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Spatial and temporal characteristics of temperature effects on cardiovascular disease in Southern China using the Empirical Mode Decomposition method. Sci Rep 2018; 8:14775. [PMID: 30283072 PMCID: PMC6170419 DOI: 10.1038/s41598-018-33184-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 09/04/2018] [Indexed: 11/08/2022] Open
Abstract
Until now, few studies have analyzed the effects of temperature on cardiovascular disease (CVD) death at different time points. In this study, we chose 9 different cities in the subtropical and tropical areas of China and analyzed the correlation between temperature at different time points and CVD mortality. We completed this study in two steps. First, we analyzed different time trend decomposition data related to CVD mortality in different populations within the 9 selected cities using empirical mode decomposition (EMD). Second, we created a regression fitting analysis of CVD mortality and temperatures at different time periods. The results showed that the CVD mortality of subtropical and tropical areas in southern Chinese cities represented spatial heterogeneity. The CVD mortality rates in Beihai, Hefei and Nanning showed rising trends, whereas the CVD mortality rates in Haikou, Guilin and Changde appeared to be decreasing. At the daily, seasonal and year time scales, low temperatures were negatively correlated with CVD mortality. Other than at the daily time scale, high temperatures did not significantly influence CVD mortality. This article will help to develop appropriate measures to reduce temperature-related mortality risk in different populations within the subtropical and tropical regions of China.
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30
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Liu Y, Hoppe BO, Convertino M. Threshold Evaluation of Emergency Risk Communication for Health Risks Related to Hazardous Ambient Temperature. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2018; 38:2208-2221. [PMID: 29637591 DOI: 10.1111/risa.12998] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 01/25/2018] [Accepted: 03/05/2018] [Indexed: 06/08/2023]
Abstract
Emergency risk communication (ERC) programs that activate when the ambient temperature is expected to cross certain extreme thresholds are widely used to manage relevant public health risks. In practice, however, the effectiveness of these thresholds has rarely been examined. The goal of this study is to test if the activation criteria based on extreme temperature thresholds, both cold and heat, capture elevated health risks for all-cause and cause-specific mortality and morbidity in the Minneapolis-St. Paul Metropolitan Area. A distributed lag nonlinear model (DLNM) combined with a quasi-Poisson generalized linear model is used to derive the exposure-response functions between daily maximum heat index and mortality (1998-2014) and morbidity (emergency department visits; 2007-2014). Specific causes considered include cardiovascular, respiratory, renal diseases, and diabetes. Six extreme temperature thresholds, corresponding to 1st-3rd and 97th-99th percentiles of local exposure history, are examined. All six extreme temperature thresholds capture significantly increased relative risks for all-cause mortality and morbidity. However, the cause-specific analyses reveal heterogeneity. Extreme cold thresholds capture increased mortality and morbidity risks for cardiovascular and respiratory diseases and extreme heat thresholds for renal disease. Percentile-based extreme temperature thresholds are appropriate for initiating ERC targeting the general population. Tailoring ERC by specific causes may protect some but not all individuals with health conditions exacerbated by hazardous ambient temperature exposure.
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Affiliation(s)
- Yang Liu
- Division of Environmental Health Sciences, School of Public Health, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Brenda O Hoppe
- Department of Health, Environmental Health Division, Minnesota, St. Paul, MN, USA
| | - Matteo Convertino
- Complexity Group, Division of Frontier Science & Media and Network Technologies, Laboratory of Information Communication Networks, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan
- Global Station for Big Data and Cybersecurity, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Japan
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31
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Kapwata T, Gebreslasie MT, Mathee A, Wright CY. Current and Potential Future Seasonal Trends of Indoor Dwelling Temperature and Likely Health Risks in Rural Southern Africa. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15050952. [PMID: 29755105 PMCID: PMC5981991 DOI: 10.3390/ijerph15050952] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 04/24/2018] [Accepted: 04/25/2018] [Indexed: 12/26/2022]
Abstract
Climate change has resulted in rising temperature trends which have been associated with changes in temperature extremes globally. Attendees of Conference of the Parties (COP) 21 agreed to strive to limit the rise in global average temperatures to below 2 °C compared to industrial conditions, the target being 1.5 °C. However, current research suggests that the African region will be subjected to more intense heat extremes over a shorter time period, with projections predicting increases of 4–6 °C for the period 2071–2100, in annual average maximum temperatures for southern Africa. Increased temperatures may exacerbate existing chronic ill health conditions such as cardiovascular disease, respiratory disease, cerebrovascular disease, and diabetes-related conditions. Exposure to extreme temperatures has also been associated with mortality. This study aimed to consider the relationship between temperatures in indoor and outdoor environments in a rural residential setting in a current climate and warmer predicted future climate. Temperature and humidity measurements were collected hourly in 406 homes in summer and spring and at two-hour intervals in 98 homes in winter. Ambient temperature, humidity and windspeed were obtained from the nearest weather station. Regression models were used to identify predictors of indoor apparent temperature (AT) and to estimate future indoor AT using projected ambient temperatures. Ambient temperatures will increase by a mean of 4.6 °C for the period 2088–2099. Warming in winter was projected to be greater than warming in summer and spring. The number of days during which indoor AT will be categorized as potentially harmful will increase in the future. Understanding current and future heat-related health effects is key in developing an effective surveillance system. The observations of this study can be used to inform the development and implementation of policies and practices around heat and health especially in rural areas of South Africa.
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Affiliation(s)
- Thandi Kapwata
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg 2028, South Africa.
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria 0028, South Africa.
| | - Michael T Gebreslasie
- School of Agriculture, Earth, and Environmental Sciences, University of KwaZulu-Natal, Durban 3629, South Africa.
| | - Angela Mathee
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg 2028, South Africa.
- Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2028, South Africa.
| | - Caradee Yael Wright
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria 0028, South Africa.
- Environment and Health Research Unit, South African Medical Research Council, Pretoria 0084, South Africa.
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32
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Short-Term Changes in Weather and Space Weather Conditions and Emergency Ambulance Calls for Elevated Arterial Blood Pressure. ATMOSPHERE 2018. [DOI: 10.3390/atmos9030114] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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33
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Cheng J, Xu Z, Bambrick H, Su H, Tong S, Hu W. The mortality burden of hourly temperature variability in five capital cities, Australia: Time-series and meta-regression analysis. ENVIRONMENT INTERNATIONAL 2017; 109:10-19. [PMID: 28923460 DOI: 10.1016/j.envint.2017.09.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 09/06/2017] [Accepted: 09/10/2017] [Indexed: 05/10/2023]
Abstract
BACKGROUND Unstable weather, such as intra- and inter-day temperature variability, can impair the health and shorten the survival time of population around the world. Climate change will cause Earth's surface temperature rise, but has unclear effects on temperature variability, making it urgent to understand the characteristics of the burden of temperature variability on mortality, regionally and nationally. OBJECTIVES This paper aims to quantify the mortality risk of exposure to short-term temperature variability, estimate the resulting death toll and explore how the strength of temperature variability effects will vary as a function of city-level characteristics. METHODS Ten-year (2000-2009) time-series data on temperature and mortality were collected for five largest Australia's cities (Sydney, Melbourne, Brisbane, Perth and Adelaide), collectively registering 708,751 deaths in different climates. Short-term temperature variability was captured and represented as the hourly temperature standard deviation within two days. Three-stage analyses were used to assess the burden of temperature variability on mortality. First, we modelled temperature variability-mortality relation and estimated the relative risk of death for each city, using a time-series quasi-Poisson regression model. Second, we used meta-analysis to pool the city-specific estimates, and meta-regression to explore if some city-level factors will modify the population vulnerability to temperature variability. Finally, we calculated the city-specific deaths attributable to temperature variability, and applied such estimates to the whole of Australia as a reflection of the nation-wide death burden associated with temperature variability. RESULTS We found evidence of significant associations between temperature variability and mortality in all cities assessed. Deaths associated with each 1°C rise in temperature variability elevated by 0.28% (95% confidence interval (CI): 0.05%, 0.52%) in Melbourne to 1.00% (95%CI: 0.52%, 1.48%) in Brisbane, with a pooled estimate of 0.51% (95%CI: 0.33%, 0.69%) for Australia. Subtropical and temperate regions showed no apparent difference in temperature variability impacts. Meta-regression analyses indicated that the mortality risk could be influenced by city-specific factors: latitude, mean temperature, population density and the prevalence of several chronic diseases. Taking account of contributions from the entire time-series, temperature variability was estimated to account for 0.99% to 3.24% of deaths across cities, with a nation-wide attributable fraction of 1.67% (9.59 deaths per 100, 000 population per year). CONCLUSIONS Hourly temperature variability may be an important risk factor of weather-related deaths and led to a sizeable mortality burden. This study underscores the need for developing specific and effective interventions in Australia to lessen the health consequences of temperature variability.
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Affiliation(s)
- Jian Cheng
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
| | - Zhiwei Xu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
| | - Hilary Bambrick
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Shilu Tong
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
| | - Wenbiao Hu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia.
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34
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Seposo XT, Dang TN, Honda Y. How Does Ambient Air Temperature Affect Diabetes Mortality in Tropical Cities? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14040385. [PMID: 28379204 PMCID: PMC5409586 DOI: 10.3390/ijerph14040385] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 03/16/2017] [Accepted: 03/28/2017] [Indexed: 12/20/2022]
Abstract
Diabetes is well-known as one of the many chronic diseases that affect different age groups. Currently, most studies that evaluated the effects of temperature on diabetes mortality focused on temperate and subtropical settings, but no study has been conducted to assess the relationship in a tropical setting. We conducted the first multi-city study carried out in tropical cities, which evaluated the temperature–diabetes relationship. We collected daily diabetes mortality (ICD E10–E14) of four Philippine cities from 2006 to 2011. Same period meteorological data were obtained from the National Oceanic and Atmospheric Administration. We used a generalized additive model coupled with a distributed lag non-linear model (DLNM) in determining the relative risks. Results showed that both low and high temperatures pose greater risks among diabetics. Likewise, the study was able to observe the: (1) high risk brought about by low temperature, aside from the largely observed high risks by high temperature; and (2) protective effects in low temperature percentile. These results provide significant policy implications with strategies related to diabetes risk groups in relation to health service and care strategies.
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Affiliation(s)
- Xerxes T Seposo
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba City 305-8577, Japan.
| | - Tran Ngoc Dang
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba City 305-8577, Japan.
- Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy, Ho Chi Minh City 70000, Vietnam.
| | - Yasushi Honda
- Faculty of Health and Sports Sciences, University of Tsukuba, Tsukuba City 305-8577, Japan.
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35
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Guerra F, Bonelli P, Flori M, Cipolletta L, Carbucicchio C, Izquierdo M, Kozluk E, Shivkumar K, Vaseghi M, Patani F, Cupido C, Pala S, Ruiz-Granell R, Ferrero A, Tondo C, Capucci A. Temporal Trends and Temperature-Related Incidence of Electrical Storm. Circ Arrhythm Electrophysiol 2017; 10:CIRCEP.116.004634. [DOI: 10.1161/circep.116.004634] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 12/27/2016] [Indexed: 01/28/2023]
Abstract
Background—
The occurrence of ventricular tachyarrhythmias seems to follow circadian, daily, and seasonal distributions. Our aim is to identify potential temporal patterns of electrical storm (ES), in which a cluster of ventricular tachycardias or ventricular fibrillation, negatively affects short- and long-term survival.
Methods and Results—
The TEMPEST study (Circannual Pattern and Temperature-Related Incidence of Electrical Storm) is a patient-level, pooled analysis of previously published data sets. Study selection criteria included diagnosis of ES, absence of acute coronary syndrome as the arrhythmic trigger, and ≥10 patients included. At the end of the selection and collection processes, 5 centers had the data set from their article pooled into the present registry. Temperature data and sunrise and sunset hours were retrieved from Weather Underground, the largest weather database available online. Total sample included 246 patients presenting with ES (221 men; age: 65±9 years). Each ES episode included a median of 7 ventricular tachycardia/ventricular fibrillation episodes. Fifty-nine percent of patients experienced ES during daytime hours (
P
<0.001). The prevalence of ES was significantly higher during workdays, with Saturdays and Sundays registering the lowest rates of ES (10.4% and 7.2%, respectively, versus 16.5% daily mean from Monday to Friday;
P
<0.001). ES occurrence was significantly associated with increased monthly temperature range when compared with the month before (
P
=0.003).
Conclusions—
ES incidence is not homogenous over time but seems to have a clustered pattern, with a higher incidence during daytime hours and working days. ES is associated with an increase in monthly temperature variation.
Clinical Trial Registration—
https://www.crd.york.ac.uk
. Unique identifier: CRD42013003744.
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Affiliation(s)
- Federico Guerra
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Paolo Bonelli
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Marco Flori
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Laura Cipolletta
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Corrado Carbucicchio
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Maite Izquierdo
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Edward Kozluk
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Kalyanam Shivkumar
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Marmar Vaseghi
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Francesca Patani
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Claudio Cupido
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Salvatore Pala
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Ricardo Ruiz-Granell
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Angel Ferrero
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Claudio Tondo
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
| | - Alessandro Capucci
- From the Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital “Ospedali Riuniti”, Ancona (F.G., P.B., M.F., L.C., F.P., C. Cupido, A.C.); Cardiology Center Monzino IRCCS, Milan, Italy (C. Carbucicchio, S.P., C.T.); University Hospital Clinic of Valencia, Spain (M.I., R.R.-G., A.F.); Medical University of Warsaw, Poland (E.K.); and Cardiac Arrhythmia Center, University of California, Los Angeles (K.S., M.V.)
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