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Bu Y, Sun Z, Tao Y, Zhao X, Zhao Y, Liang Y, Hang X, Han L. The synergistic effect of high temperature and relative humidity on non-accidental deaths at different urbanization levels. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 940:173612. [PMID: 38823719 DOI: 10.1016/j.scitotenv.2024.173612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 05/11/2024] [Accepted: 05/27/2024] [Indexed: 06/03/2024]
Abstract
Numerous studies have examined the impact of temperature on mortality, yet research on the combined effect of temperature and humidity on non-accidental deaths remains limited. This study investigates the synergistic impact of high temperature and humidity on non-accidental deaths in China, assessing the influence of urban development and urbanization level. Utilizing the distributed lag nonlinear model (DLNM) of quasi-Poisson regression, we analyzed the relationship between Wet Bulb Globe Temperature (WBGT) and non-accidental deaths in 30 Chinese cities from 2010 to 2016, including Guangzhou during 2012-2016. We stratified temperature and humidity across these cities to evaluate the influence of varying humidity levels on deaths under high temperatures. Then, we graded the duration of heat and humidity in these cities to assess the impact of deaths with different durations. Additionally, the cities were categorized based on gross domestic product (GDP), and a vulnerability index was calculated to examine the impact of urban development and urbanization level on non-accidental deaths. Our findings reveal a pronounced synergistic effect of high temperature and humidity on non-accidental deaths, particularly at elevated humidity levels. The synergies of high temperature and humidity are extremely complex. Moreover, the longer the duration of high temperature and humidity, the higher the risk of non-accidental death. Furthermore, areas with higher urbanization exhibited lower relative risks (RR) associated with the synergistic effects of heat and humidity. Consequently, it is imperative to focus on damp-heat related mortality among vulnerable populations in less developed regions.
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Affiliation(s)
- Yaqin Bu
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; State Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration, Beijing 100081, China
| | - Zhaobin Sun
- State Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration, Beijing 100081, China.
| | - Yan Tao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Xiuge Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yuxin Zhao
- State Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration, Beijing 100081, China
| | - Yinglin Liang
- State Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration, Beijing 100081, China
| | - Xiaoyi Hang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Ling Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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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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Xia Y, Shi C, Li Y, Ruan S, Jiang X, Huang W, Chen Y, Gao X, Xue R, Li M, Sun H, Peng X, Xiang R, Chen J, Zhang L. Association between temperature and mortality: a multi-city time series study in Sichuan Basin, southwest China. Environ Health Prev Med 2024; 29:1. [PMID: 38220147 PMCID: PMC10788187 DOI: 10.1265/ehpm.23-00118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/30/2023] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND There are few multi-city studies on the association between temperature and mortality in basin climates. This study was based on the Sichuan Basin in southwest China to assess the association of basin temperature with non-accidental mortality in the population and with the temperature-related mortality burden. METHODS Daily mortality data, meteorological and air pollution data were collected for four cities in the Sichuan Basin of southwest China. We used a two-stage time-series analysis to quantify the association between temperature and non-accidental mortality in each city, and a multivariate meta-analysis was performed to obtain the overall cumulative risk. The attributable fractions (AFs) were calculated to access the mortality burden attributable to non-optimal temperature. Additionally, we performed a stratified analyses by gender, age group, education level, and marital status. RESULTS A total of 751,930 non-accidental deaths were collected in our study. Overall, 10.16% of non-accidental deaths could be attributed to non-optimal temperatures. A majority of temperature-related non-accidental deaths were caused by low temperature, accounting for 9.10% (95% eCI: 5.50%, 12.19%), and heat effects accounted for only 1.06% (95% eCI: 0.76%, 1.33%). The mortality burden attributable to non-optimal temperatures was higher among those under 65 years old, females, those with a low education level, and those with an alternative marriage status. CONCLUSIONS Our study suggested that a significant association between non-optimal temperature and non-accidental mortality. Those under 65 years old, females, and those with a low educational level or alternative marriage status had the highest attributable burden.
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Affiliation(s)
- Yizhang Xia
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
- Zigong Center for Disease Control and Prevention, No. 826, Huichuan Road, Ziliujing District, Zigong 643000, China
- School of Public Health, Chengdu Medical College, No. 783, Xindu Road, Xindu District, Chengdu 610500, China
| | - Chunli Shi
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Yang Li
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Shijuan Ruan
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Xianyan Jiang
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Wei Huang
- Zigong Center for Disease Control and Prevention, No. 826, Huichuan Road, Ziliujing District, Zigong 643000, China
| | - Yu Chen
- School of Public Health, Chengdu Medical College, No. 783, Xindu Road, Xindu District, Chengdu 610500, China
| | - Xufang Gao
- Chengdu Center for Disease Control and Prevention, No. 6, Longxiang Road, Wuhou District, Chengdu 610041, China
| | - Rong Xue
- Guangyuan Center for Disease Control and Prevention, No. 996, Binhebei Road, Lizhou District, Guangyuan 628017, China
| | - Mingjiang Li
- Panzhi hua Center for Disease Control and Prevention, No. 996, Jichang Road, Dong District, Panzhi hua 617067, China
| | - Hongying Sun
- Mianyang Center for Disease Control and Prevention, No. 50, Mianxingdong Road, Gaoxin District, Mianyang 621000, China
| | - Xiaojuan Peng
- Yaan Center for Disease Control and Prevention, No. 9, Fangcao Road, Yucheng District, Yaan 625000, China
| | - Renqiang Xiang
- Fucheng Center for Disease Control and Prevention, No. 116, Changhong Road, Fucheng District, Mianyang 621000, China
| | - Jianyu Chen
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Li Zhang
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
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Lo Y, Vosper E, Higgins JP, Howard G. Heat impacts on human health in the Western Pacific Region: an umbrella review. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 42:100952. [PMID: 38022710 PMCID: PMC10652124 DOI: 10.1016/j.lanwpc.2023.100952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 10/13/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023]
Abstract
Background High temperatures and heatwaves are occurring more frequently and lasting longer because of climate change. A synthesis of existing evidence of heat-related health impacts in the Western Pacific Region (WPR) is lacking. This review addresses this gap. Methods The Scopus and PubMed databases were searched for reviews about heat impacts on mortality, cardiovascular morbidity, respiratory morbidity, dehydration and heat stroke, adverse birth outcomes, and sleep disturbance. The last search was conducted in February 2023 and only publications written in English were included. Primary studies and reviews that did not include specific WPR data were excluded. Data were extracted from 29 reviews. Findings There is strong evidence of heat-related mortality in the WPR, with the evidence concentrating on high-income countries and China. Associations between heat and cardiovascular or respiratory morbidity are not robust. There is evidence of heat-related dehydration and stroke, and preterm and still births in high-income countries in the WPR. Some evidence of sleep disturbance from heat is found for Australia, Japan and China. Interpretation Mortality is by far the most studied and robust health outcome of heat. Future research should focus on morbidity, and lower income countries in continental Asia and Pacific Island States, where there is little review-level evidence. Funding Funded by the World Health Organization WPR Office.
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Affiliation(s)
- Y.T.Eunice Lo
- Cabot Institute for the Environment, University of Bristol, UK
- Elizabeth Blackwell Institute for Health Research, University of Bristol, UK
| | - Emily Vosper
- Cabot Institute for the Environment, University of Bristol, UK
- School of Geographical Sciences, University of Bristol, UK
| | - Julian P.T. Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Guy Howard
- Cabot Institute for the Environment, University of Bristol, UK
- School of Civil, Aerospace and Design Engineering, University of Bristol, UK
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Zhang T, Ni M, Jia J, Deng Y, Sun X, Wang X, Chen Y, Fang L, Zhao H, Xu S, Ma Y, Zhu J, Pan F. Research on the relationship between common metabolic syndrome and meteorological factors in Wuhu, a subtropical humid city of China. BMC Public Health 2023; 23:2363. [PMID: 38031031 PMCID: PMC10685562 DOI: 10.1186/s12889-023-17299-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 11/22/2023] [Indexed: 12/01/2023] Open
Abstract
As climate conditions deteriorate, human health faces a broader range of threats. This study aimed to determine the risk of death from metabolic syndrome (MetS) due to meteorological factors. We collected daily data from 2014 to 2020 in Wuhu City, including meteorological factors, environmental pollutants and death data of common MetS (hypertension, hyperlipidemia and diabetes), as well as a total number of 15,272 MetS deaths. To examine the relationship between meteorological factors, air pollutants, and MetS mortality, we used a generalized additive model (GAM) combined with a distributed delay nonlinear model (DLNM) for time series analysis. The relationship between the above factors and death outcomes was preliminarily evaluated using Spearman analysis and structural equation modeling (SEM). As per out discovery, diurnal temperature range (DTR) and daily mean temperature (T mean) increased the MetS mortality risk notably. The ultra low DTR raised the MetS mortality risk upon the general people, with the highest RR value of 1.033 (95% CI: 1.002, 1.065) at lag day 14. In addition, T mean was also significantly associated with MetS death. The highest risk of ultra low and ultra high T mean occured on the same day (lag 14), RR values were 1.043 (95% CI: 1.010, 1.077) and 1.032 (95% CI: 1.003, 1.061) respectively. Stratified analysis's result showed lower DTR had a more pronounced effect on women and the elderly, and ultra low and high T mean was a risk factor for MetS mortality in women and men. The elderly need to take extra note of temperature changes, and different levels of T mean will increase the risk of death. In warm seasons, ultra high RH and T mean can increase the mortality rate of MetS patients.
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Affiliation(s)
- Tao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Man Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Juan Jia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Yujie Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, China
| | - Xiaoya Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, China
| | - Xinqi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, China
| | - Yuting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Lanlan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Hui Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, China
| | - Shanshan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Jiansheng Zhu
- Wuhu center for disease control and prevention, Wuhu, Anhui, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
- Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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Xia Y, Shi C, Li Y, Jiang X, Ruan S, Gao X, Chen Y, Huang W, Li M, Xue R, Wen X, Peng X, Chen J, Zhang L. Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016-2020: a distributed-lag non-linear time series analysis. BMC Public Health 2023; 23:149. [PMID: 36681785 PMCID: PMC9863161 DOI: 10.1186/s12889-022-14931-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 12/22/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND With complex changes in the global climate, it is critical to understand how ambient temperature affects health, especially in China. We aimed to assess the effects of temperature on daily mortality, including total non-accidental, cardiovascular disease (CVD), respiratory disease, cerebrovascular disease, and ischemic heart disease (IHD) mortality between 2016 and 2020 in Chengdu, China. METHODS We obtained daily temperature and mortality data for the period 2016-2020. A Poisson regression model combined with a distributed-lag nonlinear model was used to examine the association between temperature and daily mortality. We investigated the effects of individual characteristics by sex, age, education level, and marital status. RESULTS We found significant non-linear effects of temperature on total non-accidental, CVD, respiratory, cerebrovascular, and IHD mortality. Heat effects were immediate and lasted for 0-3 days, whereas cold effects persisted for 7-10 days. The relative risks associated with extreme high temperatures (99th percentile of temperature, 28 °C) over lags of 0-3 days were 1.22 (95% confidence interval [CI]: 1.17, 1.28) for total non-accidental mortality, 1.40 (95% CI: 1.30, 1.50) for CVD morality, 1.34 (95% CI: 1.24, 1.46) for respiratory morality, 1.33 (95% CI: 1.20, 1.47) for cerebrovascular mortality, and 1.38 (95% CI: 1.20, 1.58) for IHD mortality. The relative risks associated with extreme cold temperature (1st percentile of temperature, 3.0 °C) over lags of 0-14 days were 1.32 (95% CI: 1.19, 1.46) for total mortality, 1.45 (95% CI: 1.24, 1.68) for CVD morality, 1.28 (95% CI: 1.09, 1.50) for respiratory morality, 1.36 (95% CI: 1.09, 1.70) for cerebrovascular mortality, and 1.26 (95% CI: 0.95, 1.68) for IHD morality. We found that hot and cold affects were greater in those over 85 years of age, and that women, individuals with low education levels, and those who were widowed, divorced, or never married, were more vulnerable. CONCLUSIONS This study showed that exposure to hot and cold temperatures in Chengdu was associated with increased mortality, with people over 85 years old, women, those with low education levels, and unmarried individuals being more affected by hot and cold temperatures.
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Affiliation(s)
- Yizhang Xia
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041 China
- School of Public Health, Chengdu Medical College, No.783, Xindu Road, Xindu District, Chengdu, 610500 China
| | - Chunli Shi
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041 China
| | - Yang Li
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041 China
| | - Xianyan Jiang
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041 China
| | - Shijuan Ruan
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041 China
| | - Xufang Gao
- Chengdu Center for Disease Control and Prevention, No.6, Longxiang Road, Wuhou District, Chengdu, 610041 China
| | - Yu Chen
- School of Public Health, Chengdu Medical College, No.783, Xindu Road, Xindu District, Chengdu, 610500 China
| | - Wei Huang
- Zigong Center for Disease Control and Prevention, No.826, Huichuan Road, Ziliujing District, Zigong, 643000 China
| | - Mingjiang Li
- Panzhi Hua Center for Disease Control and Prevention, Dong District, No.996, Jichang Road617067, Panzhi Hua, China
| | - Rong Xue
- Guangyuan Center for Disease Control and Prevention, No.996, Binhebei RoadLizhou District, Guangyuan, 628017 China
| | - Xianying Wen
- Mianyang Center for Disease Control and Prevention, Gaoxin District, No.50, Mianxingdong Road, Mianyang, 621000 China
| | - Xiaojuan Peng
- Yaan Center for Disease Control and Prevention, No.9, Fangcao Road, Yucheng District, Yaan, 625000 China
| | - Jianyu Chen
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041 China
| | - Li Zhang
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041 China
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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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Huang H, Liu X, Ren L. Analysis of the spatiotemporal mechanism of high temperature on residents’ irritability in Beijing based on multiscale geographically weighted regression model. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.973365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The emotional health of urban residents is increasingly threatened by high temperatures due to global heating. However, how high temperature affects residents’ emotional health remains unknown. Therefore, this study investigated the spatiotemporal pattern of temperature’s impact on residents’ irritability using data from summer high-temperature measurement and emotional health survey in Beijing, combined with remote sensing images and statistical yearbooks. In detail, this study formulated a multiscale geographically weighted regression (MGWR) model, to study the differentiated and spatial influence of high-temperature factors on emotion. Results show: From 09:00 to 20:00, irritability level rose first then gradually dropped, with a pattern of “aggregation-fragmentation-aggregation.” Irritability is very sensitive to intercept and building density (BD). Other variables all have spatial heterogeneity [except for fraction vegetation coverage (FVC) or road network density (RND) as they are global variables], including normalized difference vegetation index (NDVI), water surface rate (WSR), floor area ratio (FAR), and Modified Normalized Difference Water Index (MNDWI) (sorted from the smallest to the largest in scale). Irritability is negatively correlated with NDVI, WSR, and RND, while positively correlated with intercept, MNDWI, FVC, FAR, and BD. Influence on irritability: WSR < NDVI < BD < MNDWI < RND < intercept < FVC < FAR.
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Abstract
Many studies in the last few years have been dedicated to the increasing temperatures and extreme heat in Europe since the second half of the 20th century because of their adverse effects on ecosystems resilience, human health, and quality of life. The present research aims to analyze the spatio-temporal variations of extreme heat events in Southeastern Europe using daily temperature data from 70 selected meteorological stations and applying methodology developed initially for the quantitative assessment of hot weather in Bulgaria. We demonstrate the suitability of indicators based on maximum temperature thresholds to assess the intensity (i.e., magnitude and duration) and the tendency of extreme heat events in the period 1961–2020 both by individual stations and the Köppen’s climate zones. The capability of the used intensity-duration hot spell model to evaluate the severity of extreme heat events has also been studied and compared with the Excess Heat Factor severity index on a yearly basis. The study provides strong evidence of the suitability of the applied combined approach in the investigation of the spatio-temporal evolution of the hot weather phenomena over the considered domain.
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10
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Elser H, Rowland ST, Tartof SY, Parks RM, Bruxvoort K, Morello-Frosch R, Robinson SC, Pressman AR, Wei RX, Casey JA. Ambient temperature and risk of urinary tract infection in California: A time-stratified case-crossover study using electronic health records. ENVIRONMENT INTERNATIONAL 2022; 165:107303. [PMID: 35635960 PMCID: PMC9233468 DOI: 10.1016/j.envint.2022.107303] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/05/2022] [Accepted: 05/14/2022] [Indexed: 05/11/2023]
Abstract
BACKGROUND In the United States (US), urinary tract infections (UTI) lead to more than 10 million office visits each year. Temperature and season are potentially important risk factors for UTI, particularly in the context of climate change. METHODS We examined the relationship between ambient temperature and outpatient UTI diagnoses among patients followed from 2015 to 2017 in two California healthcare systems: Kaiser Permanente Southern California (KPSC) and Sutter Health in Northern California. We identified UTI diagnoses in adult patients using diagnostic codes and laboratory records from electronic health records. We abstracted patient age, sex, season of diagnosis, and linked community-level Index of Concentration at the Extremes (ICE-I, a measure of wealth and poverty concentration) based on residential address. Daily county-level average ambient temperature was assembled from the Parameter-elevation Regressions on Independent Slopes Model (PRISM). We implemented distributed lag nonlinear models (DLNM) to assess the association between UTI and lagged daily temperatures. Main analyses were confined to women. In secondary analyses, we stratified by season, healthcare system, and community-level ICE-I. RESULTS We observed 787,186 UTI cases (89% among women). We observed a threshold association between ambient temperature and UTI among women: an increase in daily temperature from the 5th percentile (6.0 ˚C) to the mean (16.2 ˚C) was associated with a 3.2% (95% CI: 2.4, 3.9%) increase in same-day UTI diagnosis rate, whereas an increase from the mean to 95th percentile was associated with no change in UTI risk (0.0%, 95% CI: -0.7, 0.6%). In secondary analyses, we observed the clearest monotonic increase in the rate of UTI diagnosis with higher temperatures in the fall. Associations did not differ meaningfully by healthcare system or community-level ICE-I. Results were robust to alternate model specifications. DISCUSSION Increasing temperature was related to higher rate of outpatient UTI, particularly in the shoulder seasons (spring, autumn).
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Affiliation(s)
- Holly Elser
- Department of Neurology, Hospital of the University of Pennsylvania, United States
| | - Sebastian T Rowland
- Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, United States
| | - Sara Y Tartof
- Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States; Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States
| | - Robbie M Parks
- Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, United States; Earth Institute, Columbia University, New York, NY, United States
| | - Katia Bruxvoort
- Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States; Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Rachel Morello-Frosch
- Department of Environment, Science, Policy, and Managmeent, UC Berkeley, Berkeley, CA, United States; School of Public Helath, UC Berkeley, Berkeley, CA, United States
| | - Sarah C Robinson
- Sutter Health Center for Health Systems Research, Walnut Creek, CA, United States
| | - Alice R Pressman
- Sutter Health Center for Health Systems Research, Walnut Creek, CA, United States; Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, United States
| | - Rong X Wei
- Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Joan A Casey
- Environmental Health Sciences, Columbia Mailman School of Public Health, 722 West 168th Street, Room 1206, New York, NY 212-304-5502, United States.
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11
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Zhang L, Yang Y, Lin Y, Chen H. Human Health, Environmental Quality and Governance Quality: Novel Findings and Implications From Human Health Perspective. Front Public Health 2022; 10:890741. [PMID: 35812483 PMCID: PMC9263448 DOI: 10.3389/fpubh.2022.890741] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 04/20/2022] [Indexed: 12/21/2022] Open
Abstract
Human health and wellbeing are intimately linked to the state of the environment. The current study emphasizes the role of environmental quality, government policies, and human health. This paper provides a detailed literature review of existing findings regarding our key variables of interest. The results argue that the implications of poor government policies and environmental pollution for rising economic development have led to poor environmental quality and health issues for humans. Based on earlier investigations, the present study reviewed the state-of-the-art review and determined innovative insights for outdoor and indoor environment difficulties. This study provides a detailed review of human health, environmental quality, and governance quality. In addition, the study conducts an empirical analysis using the annual data of low-income countries from 1996 to 2020. Government actions and health systems must be modified immediately to address these rising concerns successfully. The report offers policy recommendations for addressing health, governance, and environmental change mitigation issues, all of which are directly or indirectly related to the study. This article presents an overview of environmental change's health impacts and explores how health hazards may be reduced or eliminated through effective adaptation strategies.
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Affiliation(s)
- Liqin Zhang
- School of Economics, Fujian Normal University, Fuzhou, China
| | - Yuping Yang
- School of Economics, Fujian Normal University, Fuzhou, China
| | - Yesong Lin
- Fuzhou Lianjiang Ecological Environment Bureau, Fuzhou, China
| | - Huangxin Chen
- School of Economics, Fujian Normal University, Fuzhou, China
- *Correspondence: Huangxin Chen
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12
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The Use of Horizontal Shading Devices to Alleviate Overheating in Residential Buildings in the Severe Cold Region and Cold Region of China. BUILDINGS 2022. [DOI: 10.3390/buildings12040408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Global warming is resulting in higher summer indoor temperatures in the severe cold region and cold region of China, and this is affecting thermal comfort. Local building design codes consider these regions as cool in summer, and do not consider the phenomenon of overheating or propose countermeasures. This paper studied the possibility of overheating in residential buildings in these areas. It suggested alleviating this phenomenon using external horizontal shading, and discussed how to integrate thermal comfort into the building design and save energy consumption. The IESVE software was used to simulate 18-storey residential buildings with natural ventilation in Yichun, Harbin, Shenyang, Dalian, and Beijing, and to calculate the change in indoor operative temperature. Horizontal shading was designed for case study building to attempt to alleviate the overheating phenomenon in summer. The results showed that the case study building in the five cities experienced different degrees of overheating. External horizontal shading was successful in reducing indoor overheating, especially in the severe cold B and C zones and the cold A and B zones. The relevant building codes should be modified to take this into account. Reasonable design of horizontal shading can effectively reduce energy consumption, particularly when compared with air-conditioned buildings.
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13
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Abstract
The objective of this paper is to model and study the impact of high temperature on mortality in Pakistan. For this purpose, we have used mortality and climate data consisting of maximum temperature, variation in monthly temperature, average rainfall, humidity, dewpoint, as well as average air pressure in the country over the period from 2000 to 2019. We have used the Generalized Linear Model with Quasi-Poisson link function to model the number of deaths in the country and to assess the impact of maximum temperature on mortality. We have found that the maximum temperature in the country has a significant impact on mortality. The number of deaths in Pakistan increases as the maximum temperature increases. We found that, as the maximum temperature increase beyond 30 °C, mortality increases significantly. Our results indicate that mortality increases by 27% when the maximum temperature in the country increases from medium category to a very high level. Similarly, the number of deaths in the country increases by 11% when the temperature increases from medium temperature to high level. Furthermore, our study found that when the maximum temperature in the country decreases from a medium level to a low level, the number of deaths in the country decreases by 23%. This study does not consider the impact of other factors on mortality, such as age, medical conditions, gender, geographical location, as well as variability of temperature across the country.
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14
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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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15
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Feng F, Ma Y, Zhang Y, Shen J, Wang H, Cheng B, Jiao H. Effects of extreme temperature on respiratory diseases in Lanzhou, a temperate climate city of China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:49278-49288. [PMID: 33932207 DOI: 10.1007/s11356-021-14169-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 04/26/2021] [Indexed: 06/12/2023]
Abstract
Under the global climate warming, extreme weather events occur more and more frequently. Epidemiological studies have proved that extreme temperature is strongly correlated with respiratory diseases. We evaluated extreme-temperature effect on respiratory emergency room (ER) visits for 5 years in Lanzhou, a northwest temperate climate city of China from January 1st, 2013, to August 31st, 2017. We built a distributed lag non-linear model (DLNM) to evaluate the lag effect up to 30 days. Results showed the relative risk (RR) of respiratory disease always reached the maximum at lag 0 day and decreased to 1.0 at lag 5 days. Extremely low temperature showed the lag effect of 22 days and the maximum RR was 1.415 (95% CI 1.295-1.546) at lag 0 day. Extremely high temperature showed the lag effect of 7 days and the maximum RR was 1.091 (95% CI 1.069-1.114) at lag 0 day. The elders (age > 65 years) were at the greatest risk to extreme temperatures and the response were very acute. Children (age ≤ 15 years) were at the lowest risk but the lag effect lasted the longest lag days than other subgroups. Males showed longer-term lag effect and higher RR than females. Our study indicated that the extremely low temperature has a significantly greater effect on respiratory diseases than extremely high temperature.
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Affiliation(s)
- Fengliu Feng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Jiahui Shen
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Haoran Jiao
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
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16
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Dhimal M, Bhandari D, Dhimal ML, Kafle N, Pyakurel P, Mahotra N, Akhtar S, Ismail T, Dhiman RC, Groneberg DA, Shrestha UB, Müller R. Impact of Climate Change on Health and Well-Being of People in Hindu Kush Himalayan Region: A Narrative Review. Front Physiol 2021; 12:651189. [PMID: 34421631 PMCID: PMC8378503 DOI: 10.3389/fphys.2021.651189] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 06/30/2021] [Indexed: 12/03/2022] Open
Abstract
Climate change and variability affect virtually everyone and every region of the world but the effects are nowhere more prominent than in mountain regions and people living therein. The Hindu Kush Himalayan (HKH) region is a vast expanse encompassing 18% of the world’s mountainous area. Sprawling over 4.3 million km2, the HKH region occupies areas of eight countries namely Nepal, Bhutan, Afghanistan, Bangladesh, China, India, Myanmar, and Pakistan. The HKH region is warming at a rate higher than the global average and precipitation has also increased significantly over the last 6 decades along with increased frequency and intensity of some extreme events. Changes in temperature and precipitation have affected and will like to affect the climate-dependent sectors such as hydrology, agriculture, biodiversity, and human health. This paper aims to document how climate change has impacted and will impact, health and well-being of the people in the HKH region and offers adaptation and mitigation measures to reduce the impacts of climate change on health and well-being of the people. In the HKH region, climate change boosts infectious diseases, non-communicable diseases (NCDs), malnutrition, and injuries. Hence, climate change adaptation and mitigation measures are needed urgently to safeguard vulnerable populations residing in the HKH region.
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Affiliation(s)
- Meghnath Dhimal
- Nepal Health Research Council, Kathmandu, Nepal.,Global Institute for Interdisciplinary Studies, Lalitpur, Nepal
| | - Dinesh Bhandari
- School of Public Health, The University of Adelaide, Adelaide, SA, Australia
| | - Mandira Lamichhane Dhimal
- Global Institute for Interdisciplinary Studies, Lalitpur, Nepal.,Policy Research Institute, Kathmandu, Nepal
| | | | - Prajjwal Pyakurel
- Department of Community Medicine, BP Koirala Institute of Health Sciences, Dharan, Nepal
| | - Narayan Mahotra
- Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
| | - Saeed Akhtar
- Institute of Food Science and Nutrition, Bahauddin Zakariya University, Multan, Pakistan
| | - Tariq Ismail
- Institute of Food Science and Nutrition, Bahauddin Zakariya University, Multan, Pakistan
| | - Ramesh C Dhiman
- ICMR-National Institute of Malaria Research, New Delhi, India
| | - David A Groneberg
- Institute of Occupational, Social and Environmental Medicine, Goethe University, Frankfurt am Main, Germany
| | | | - Ruth Müller
- Institute of Tropical Medicine, Antwerp, Belgium
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17
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Urban Heat Island and Its Regional Impacts Using Remotely Sensed Thermal Data—A Review of Recent Developments and Methodology. LAND 2021. [DOI: 10.3390/land10080867] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Many novel research algorithms have been developed to analyze urban heat island (UHI) and UHI regional impacts (UHIRIP) with remotely sensed thermal data tables. We present a comprehensive review of some important aspects of UHI and UHIRIP studies that use remotely sensed thermal data, including concepts, datasets, methodologies, and applications. We focus on reviewing progress on multi-sensor image selection, preprocessing, computing, gap filling, image fusion, deep learning, and developing new metrics. This literature review shows that new satellite sensors and valuable methods have been developed for calculating land surface temperature (LST) and UHI intensity, and for assessing UHIRIP. Additionally, some of the limitations of using remotely sensed data to analyze the LST, UHI, and UHI intensity are discussed. Finally, we review a variety of applications in UHI and UHIRIP analyses. The assimilation of time-series remotely sensed data with the application of data fusion, gap filling models, and deep learning using the Google Cloud platform and Google Earth Engine platform also has the potential to improve the estimation accuracy of change patterns of UHI and UHIRIP over long time periods.
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18
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Ma Y, Zhang Y, Cheng B, Feng F, Jiao H, Zhao X, Ma B, Yu Z. A review of the impact of outdoor and indoor environmental factors on human health in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:42335-42345. [PMID: 32833174 DOI: 10.1007/s11356-020-10452-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 08/09/2020] [Indexed: 06/11/2023]
Abstract
The Intergovernmental Panel on Climate Change (IPCC) reported that global climate change has led to the increased occurrence of extreme weather events. In the context of global climate change, more evidence indicates that abnormal meteorological conditions could increase the risk of epidemiological mortality and morbidity. In this study, using a systematic review, we evaluated a total of 175 studies (including 158 studies on outdoor environment and 17 studies on indoor environment) to summarize the impact of outdoor and indoor environment on human health in China using the database of PubMed, Web of Science, the Cochrane Library, and Embase. In particular, we focused on studies about cardiovascular and respiratory mortality and morbidity, the prevalence of digestive system diseases, infectious diseases, and preterm birth. Most of the studies we reviewed were conducted in three of the metropolises of China, including Beijing, Guangzhou, and Shanghai. For the outdoor environment, we summarized the effects of climate change-related phenomena on health, including ambient air temperature, diurnal temperature range (DTR), temperature extremes, and so on. Studies on the associations between temperature and human health accounted for 79.7% of the total studies reviewed. We also screened out 19 articles to explore the effect of air temperature on cardiovascular diseases in different cities in the final meta-analysis. Besides, modern lifestyle involves a large amount of time spent indoors; therefore, indoor environment also plays an important role in human health. Nevertheless, studies on the impact of indoor environment on human health are rarely reported in China. According to the limited reports, adverse indoor environment could impose a high health risk on children.
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Affiliation(s)
- Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Fengliu Feng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Haoran Jiao
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Xiaoyan Zhao
- Neurology Department, General Hospital of the Chinese People's Liberation Army, Beijing, 100000, China
| | - Bingji Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Zhiang Yu
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
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19
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Liu S, Chan EYY, Goggins WB, Huang Z. The Mortality Risk and Socioeconomic Vulnerability Associated with High and Low Temperature in Hong Kong. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17197326. [PMID: 33036459 PMCID: PMC7579344 DOI: 10.3390/ijerph17197326] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/30/2020] [Accepted: 09/30/2020] [Indexed: 01/08/2023]
Abstract
(1) Background: The adverse health effect associated with extreme temperature has been extensively reported in the current literature. Some also found that temperature effect may vary among the population with different socioeconomic status (SES), but found inconsistent results. Previous studies on the socioeconomic vulnerability of temperature effect were mainly achieved by multi-city or country analysis, but the large heterogeneity between cities may introduce additional bias to the estimation. The linkage between death registry and census in Hong Kong allows us to perform a city-wide analysis in which the study population shares virtually the same cultural, lifestyle and policy environment. This study aims to examine and compare the high and low temperature on morality in Hong Kong, a city with a subtropical climate and address a key research question of whether the extreme high and low temperature disproportionally affects population with lower SES. (2) Methods: Poisson-generalized additive models and distributed-lagged nonlinear models were used to examine the association between daily mortality and daily mean temperature between 2007–2015 with other meteorological and confounding factors controlled. Death registry was linked with small area census and area-level median household income was used as the proxy for socioeconomic status. (3) Results: 362,957 deaths during the study period were included in the analysis. The minimum mortality temperature was found to be 28.9 °C (82nd percentile). With a subtropical climate, the low temperature has a stronger effect than the high temperature on non-accidental, cardiovascular, respiratory and cancer deaths in Hong Kong. The hot effect was more pronounced in the first few days, while cold effect tended to last up to three weeks. Significant heat effect was only observed in the lower SES groups, whilst the extreme low temperature was associated with significantly higher mortality risk across all SES groups. The older population were susceptible to extreme temperature, especially for cold. (4) Conclusions: This study raised the concern of cold-related health impact in the subtropical region. Compared with high temperature, low temperature may be considered a universal hazard to the entire population in Hong Kong rather than only disproportionally affecting people with lower SES. Future public health policy should reconsider the strategy at both individual and community levels to reduce temperature-related mortality.
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Affiliation(s)
- Sida Liu
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China; (S.L.); (Z.H.)
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China;
| | - Emily Yang Ying Chan
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China; (S.L.); (Z.H.)
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China;
- Correspondence:
| | - William Bernard Goggins
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China;
| | - Zhe Huang
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), The Chinese University of Hong Kong, Hong Kong SAR, China; (S.L.); (Z.H.)
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China;
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20
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Ji S, Zhou Q, Jiang Y, He C, Chen Y, Wu C, Liu B. The Interactive Effects between Particulate Matter and Heat Waves on Circulatory Mortality in Fuzhou, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17165979. [PMID: 32824676 PMCID: PMC7459691 DOI: 10.3390/ijerph17165979] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 08/10/2020] [Accepted: 08/12/2020] [Indexed: 11/28/2022]
Abstract
The interactive effects between particulate matter (PM) and heat waves on circulatory mortality are under-researched in the context of global climate change. We aimed to investigate the interaction between heat waves and PM on circulatory mortality in Fuzhou, a city characterized by a humid subtropical climate and low level of air pollution in China. We collected data on deaths, pollutants, and meteorology in Fuzhou between January 2016 and December 2019. Generalized additive models were used to examine the effect of PM on circulatory mortality during the heat waves, and to explore the interaction between different PM levels and heat waves on the circulatory mortality. During heat waves, circulatory mortality was estimated to increase by 8.21% (95% confidence intervals (CI): 0.32–16.72) and 3.84% (95% CI: 0.28–7.54) per 10 μg/m3 increase of PM2.5 and PM10, respectively, compared to non-heat waves. Compared with low-level PM2.5 concentration on non-heat waves layer, the high level of PM2.5 concentration on heat waves layer has a significant effect on the cardiovascular mortality, and the effect value was 48.35% (95% CI: 6.37–106.89). Overall, we found some evidence to suggest that heat waves can significantly enhance the impact of PM on circulatory mortality.
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Affiliation(s)
- Shumi Ji
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (S.J.); (Y.J.); (C.H.); (Y.C.); (B.L.)
| | - Quan Zhou
- Fuzhou Center for Disease Control and Prevention, Fuzhou 350000, China;
| | - Yu Jiang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (S.J.); (Y.J.); (C.H.); (Y.C.); (B.L.)
| | - Chenzhou He
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (S.J.); (Y.J.); (C.H.); (Y.C.); (B.L.)
| | - Yu Chen
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (S.J.); (Y.J.); (C.H.); (Y.C.); (B.L.)
| | - Chuancheng Wu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (S.J.); (Y.J.); (C.H.); (Y.C.); (B.L.)
- Fujian Provincial Key Laboratory of Environment Factors and Cancer, Fuzhou 350108, China
- Correspondence:
| | - Baoying Liu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (S.J.); (Y.J.); (C.H.); (Y.C.); (B.L.)
- Fujian Provincial Key Laboratory of Environment Factors and Cancer, Fuzhou 350108, China
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21
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Huang H, Deng X, Yang H, Zhou X, Jia Q. Spatio-Temporal Mechanism Underlying the Effect of Urban Heat Island on Cardiovascular Diseases. IRANIAN JOURNAL OF PUBLIC HEALTH 2020; 49:1455-1466. [PMID: 33083322 PMCID: PMC7554388 DOI: 10.18502/ijph.v49i8.3889] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background: We explored the spatio-temporal characteristics of urban heat island (UHI) effect on cardiovascular diseases (CVDs). Methods: The land surface temperatures (LST) were retrieved from four Landsat remote-sensing images’ data, the temperature data from 95 meteorological stations, and analysis data on CVDs mortality. Based on these data, landscape pattern indexes were used to analyze the pattern-process-function and the mechanism. Results: During 1984–2017, the effects of UHI on CVDs increased, thereby increased the mortality by 28.8%. The affected areas gradually expand from the central area of the city and undergo three evolution stages; the highly affected areas are mainly distributed in central and southern regions, and patches increase in number. The areas and ratio of high-level patches also show an upward tendency, increasing dominance in the overall landscape. Patches of the overall landscape become more complicated in shape, whereas those of high-level ones become less complicated. Concentration degree of the overall landscape decreases gradually with the types of landscapes patches increasing, reaching a rather even space distribution. Conclusion: Increased temperatures exacerbated by UHI lead to increased CVD mortality. As cities expand, the effects of UHI on CVDs increase in terms of both intensity and areas, with the overall landscape in uneven distribution, high-level affected areas in point distribution, and low-level ones in large-area concentration.
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Affiliation(s)
- Huanchun Huang
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
| | - Xin Deng
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
| | - Hailin Yang
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
| | - Xinhui Zhou
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
| | - Qi Jia
- College of Arts and Design, Zhengzhou University of Light Industry, Zhengzhou, China
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22
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Lin Y, Zhou S, Liu H, Cui Z, Hou F, Feng S, Zhang Y, Liu H, Lu C, Yu P. Risk Analysis of Air Pollution and Meteorological Factors Affecting the Incidence of Diabetes in the Elderly Population in Northern China. J Diabetes Res 2020; 2020:3673980. [PMID: 33134393 PMCID: PMC7593725 DOI: 10.1155/2020/3673980] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 06/23/2020] [Accepted: 07/14/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Research investigating the effect of air pollution on diabetes incidence is mostly conducted in Europe and the United States and often produces conflicting results. The link between meteorological factors and diabetes incidence remains to be explored. We aimed to explore associations between air pollution and diabetes incidence and to estimate the nonlinear and lag effects of meteorological factors on diabetes incidence. METHODS Our study included 19,000 people aged ≥60 years from the Binhai New District without diabetes at baseline. The generalized additive model (GAM) and the distributed lag nonlinear model (DLNM) were used to explore the effect of air pollutants and meteorological factors on the incidence of diabetes. In the model combining the GAM and DLNM, the impact of each factor (delayed by 30 days) was first observed separately to select statistically significant factors, which were then incorporated into the final multivariate model. The association between air pollution and the incidence of diabetes was assessed in subgroups based on age, sex, and body mass index (BMI). RESULTS We found that cumulative RRs for diabetes incidence were 1.026 (1.011-1.040), 1.019 (1.012-1.026), and 1.051 (1.019-1.083) per 10 μg/m3 increase in PM2.5, PM10, and NO2, respectively, as well as 1.156 (1.058-1.264) per 1 mg/m3 increase in CO in a single-pollutant model. Increased temperature, excessive humidity or dryness, and shortened sunshine duration were positively correlated with the incidence of diabetes in single-factor models. After adjusting for temperature, humidity, and sunshine, the risk of diabetes increased by 9.2% (95% confidence interval (CI):2.1%-16.8%) per 10 μg/m3 increase in PM2.5. We also found that women, the elderly (≥75 years), and obese subjects were more susceptible to the effect of PM2.5. CONCLUSION Our data suggest that PM2.5 is positively correlated with the incidence of diabetes in the elderly, and the relationship between various meteorological factors and diabetes in the elderly is nonlinear.
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Affiliation(s)
- Yao Lin
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Saijun Zhou
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Hongyan Liu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Zhuang Cui
- Department of Epidemiology and Health Statistics, Tianjin Medical University, Heping District, Tianjin, China
| | - Fang Hou
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Siyuan Feng
- Department of Epidemiology and Health Statistics, Tianjin Medical University, Heping District, Tianjin, China
| | - Yourui Zhang
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Hao Liu
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Chunlan Lu
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Pei Yu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
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23
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Can G, Şahin Ü, Sayılı U, Dubé M, Kara B, Acar HC, İnan B, Aksu Sayman Ö, Lebel G, Bustinza R, Küçükali H, Güven U, Gosselin P. Excess Mortality in Istanbul during Extreme Heat Waves between 2013 and 2017. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E4348. [PMID: 31703402 PMCID: PMC6887774 DOI: 10.3390/ijerph16224348] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 11/05/2019] [Accepted: 11/05/2019] [Indexed: 01/03/2023]
Abstract
Heat waves are one of the most common direct impacts of anthropogenic climate change and excess mortality their most apparent impact. While Turkey has experienced an increase in heat wave episodes between 1971 and 2016, no epidemiological studies have examined their potential impacts on public health so far. In this study excess mortality in Istanbul attributable to extreme heat wave episodes between 2013 and 2017 is presented. Total excess deaths were calculated using mortality rates across different categories, including age, sex, and cause of death. The analysis shows that three extreme heat waves in the summer months of 2015, 2016, and 2017, which covered 14 days in total, significantly increased the mortality rate and caused 419 excess deaths in 23 days of exposure. As climate simulations show that Turkey is one of the most vulnerable countries in the Europe region to the increased intensity of heat waves until the end of the 21st century, further studies about increased mortality and morbidity risks due to heat waves in Istanbul and other cities, as well as intervention studies, are necessary.
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Affiliation(s)
- Günay Can
- Department of Public Health, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa, Fatih, 34098 Istanbul, Turkey
| | - Ümit Şahin
- Sabanci University Istanbul Policy Center, Bankalar Caddesi, No:2 Karaköy Minerva Han, 34420 Istanbul, Turkey
| | - Uğurcan Sayılı
- Department of Public Health, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa, Fatih, 34098 Istanbul, Turkey
| | - Marjolaine Dubé
- Institut national de santé publique du Québec, 945 Avenue Wolfe, Québec, QC G1V 5B3, Canada
| | - Beril Kara
- Department of Public Health, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa, Fatih, 34098 Istanbul, Turkey
| | - Hazal Cansu Acar
- Department of Public Health, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa, Fatih, 34098 Istanbul, Turkey
| | - Barış İnan
- Department of Public Health, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa, Fatih, 34098 Istanbul, Turkey
| | - Özden Aksu Sayman
- Department of Public Health, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa, Fatih, 34098 Istanbul, Turkey
| | - Germain Lebel
- Institut national de santé publique du Québec, 945 Avenue Wolfe, Québec, QC G1V 5B3, Canada
| | - Ray Bustinza
- Institut national de santé publique du Québec, 945 Avenue Wolfe, Québec, QC G1V 5B3, Canada
| | - Hüseyin Küçükali
- Department of Public Health, Istanbul Medipol University School of Medicine, Kavacık mah. Ekinciler cad. No:19 Kavacık Kavşağı, Beykoz, 34810 Istanbul, Turkey
| | - Umur Güven
- Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa, Fatih, 34098 Istanbul, Turkey
| | - Pierre Gosselin
- Institut national de santé publique du Québec and Université Laval, 945 Avenue Wolfe, Québec, QC G1V 5B3, Canada
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24
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Xu X, Chen Z, Huo X, Wang C, Li N, Meng X, Wang Q, Liu Q, Bi P, Li J. The effects of temperature on human mortality in a Chinese city: burden of disease calculation, attributable risk exploration, and vulnerability identification. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2019; 63:1319-1329. [PMID: 31240387 DOI: 10.1007/s00484-019-01746-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 06/06/2019] [Accepted: 06/06/2019] [Indexed: 06/09/2023]
Abstract
Few studies have examined the attributable fraction (AF) of temperature to mortality and Years of Life Lost (YLL), especially in developing countries. This study aims to explore the short-term effect of the cold and hot temperatures on the cause-specific YLL and mortality, discover the attributable contributions from the temperature variations, and identify the vulnerable populations in Weifang, China. Daily registered death information and meteorological data over the period 2010-2016 were obtained in Weifang, a northern Chinese city. Generalized additive Poisson and Gaussian regression models were used to assess the impacts of temperatures on both mortality and YLL, explore the AF of the temperature variations on mortality, after adjusting for other covariates. Both hot and cold temperatures have had significant negative impacts on cause-specific mortality counts and YLL, with heat presented an acute and short effect and the cold temperatures had delayed effects and lasted for several days. In terms of the attributable fraction calculations, the contributions from cold effects was higher than that of hot effects on non-accidental, cardiovascular, and respiratory deaths (YLL 10.88 vs. 1.23%, 19.58 vs. 1.71%, and 14.47 vs. 3.05%; mortality 13.97 vs. 1.65%, 19.20 vs. 1.59%, and 14.89 vs. 3.09%), respectively. The elderly and women and people with low education level were the most vulnerable. The findings will provide important scientific evidences and policy implications for developing adaptation strategies to reduce the adverse effect of cold and hot exposure in Weifang, in terms of resource allocation, healthcare workforce capacity building, and community health education, especially for the vulnerable groups.
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Affiliation(s)
- Xin Xu
- Affiliated Hospital of Weifang Medical University, Weifang, 261053, Shandong Province, People's Republic of China
| | - Zuosen Chen
- Weifang Center for Disease Control and Prevention, Weifang, 261061, Shandong Province, People's Republic of China
| | - Xiyuan Huo
- Weifang Center for Disease Control and Prevention, Weifang, 261061, Shandong Province, People's Republic of China
| | - Chunping Wang
- School of Public Health and Management, Weifang Medical University, Weifang, 261053, Shandong Province, People's Republic of China
| | - Ning Li
- Weifang Center for Disease Control and Prevention, Weifang, 261061, Shandong Province, People's Republic of China
| | - Xianfeng Meng
- Weifang Center for Disease Control and Prevention, Weifang, 261061, Shandong Province, People's Republic of China
| | - Qiang Wang
- School of Public Health and Management, Weifang Medical University, Weifang, 261053, Shandong Province, People's Republic of China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, Beijing, People's Republic of China
| | - Peng Bi
- School of Public Health, The University of Adelaide, Adelaide, 5005, SA, Australia
| | - Jing Li
- School of Public Health and Management, Weifang Medical University, Weifang, 261053, Shandong Province, People's Republic of China.
- "Health Shandong" Major Social Risk Prediction and Governance Collaborative Innovation Center, Weifang, 261053, Shandong Province, People's Republic of China.
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Chan EYY, Ho JY, Hung HHY, Liu S, Lam HCY. Health impact of climate change in cities of middle-income countries: the case of China. Br Med Bull 2019; 130:5-24. [PMID: 31070715 PMCID: PMC6587073 DOI: 10.1093/bmb/ldz011] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 01/31/2019] [Accepted: 04/23/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND This review examines the human health impact of climate change in China. Through reviewing available research findings under four major climate change phenomena, namely extreme temperature, altered rainfall pattern, rise of sea level and extreme weather events, relevant implications for other middle-income population with similar contexts will be synthesized. SOURCES OF DATA Sources of data included bilingual peer-reviewed articles published between 2000 and 2018 in PubMed, Google Scholar and China Academic Journals Full-text Database. AREAS OF AGREEMENT The impact of temperature on mortality outcomes was the most extensively studied, with the strongest cause-specific mortality risks between temperature and cardiovascular and respiratory mortality. The geographical focuses of the studies indicated variations in health risks and impacts of different climate change phenomena across the country. AREAS OF CONTROVERSY While rainfall-related studies predominantly focus on its impact on infectious and vector-borne diseases, consistent associations were not often found. GROWING POINTS Mental health outcomes of climate change had been gaining increasing attention, particularly in the context of extreme weather events. The number of projection studies on the long-term impact had been growing. AREAS TIMELY FOR DEVELOPING RESEARCH The lack of studies on the health implications of rising sea levels and on comorbidity and injury outcomes warrants immediate attention. Evidence is needed to understand health impacts on vulnerable populations living in growing urbanized cities and urban enclaves, in particular migrant workers. Location-specific climate-health outcome thresholds (such as temperature-mortality threshold) will be needed to support evidence-based clinical management plans and health impact mitigation strategies to protect vulnerable communities.
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Affiliation(s)
- Emily Y Y Chan
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), Division of Global Health and Humanitarian Medicine, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
- Division of Global Health and Humanitarian Medicine, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- François-Xavier Bagnoud Center for Health & Human Rights, Harvard University, Boston, MA, USA
| | - Janice Y Ho
- Division of Global Health and Humanitarian Medicine, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Heidi H Y Hung
- Division of Global Health and Humanitarian Medicine, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Sida Liu
- Division of Global Health and Humanitarian Medicine, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Holly C Y Lam
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), Division of Global Health and Humanitarian Medicine, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
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26
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Green H, Bailey J, Schwarz L, Vanos J, Ebi K, Benmarhnia T. Impact of heat on mortality and morbidity in low and middle income countries: A review of the epidemiological evidence and considerations for future research. ENVIRONMENTAL RESEARCH 2019; 171:80-91. [PMID: 30660921 DOI: 10.1016/j.envres.2019.01.010] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 01/04/2019] [Accepted: 01/04/2019] [Indexed: 05/13/2023]
Abstract
Heat waves and high air temperature are associated with increased morbidity and mortality. However, the majority of research conducted on this topic is focused on high income areas of the world. Although heat waves have the most severe impacts on vulnerable populations, relatively few studies have studied their impacts in low and middle income countries (LMICs). The aim of this paper is to review the existing evidence in the literature on the impact of heat on human health in LMICs. We identified peer-reviewed epidemiologic studies published in English between January 1980 and August 2018 investigating potential associations between high ambient temperature or heat waves and mortality or morbidity. We selected studies according to the following criteria: quantitative studies that used primary and/or secondary data and report effect estimates where ambient temperature or heat waves are the main exposure of interest in relation to human morbidity or mortality within LMICs. Of the total 146 studies selected, eighty-two were conducted in China, nine in other countries of East Asia and the Pacific, twelve in South Asia, ten in Sub-Saharan Africa, eight in the Middle East and North Africa, and seven in each of Latin America and Europe. The majority of studies (92.9%) found positive associations between heat and human morbidity/mortality. Additionally, while outcome variables and study design differed greatly, most utilized a time-series study design and examined overall heath related morbidity/mortality impacts in an entire population, although it is notable that the selected studies generally found that the elderly, women, and individuals within the low socioeconomic brackets were the most vulnerable to the effects of high temperature. By highlighting the existing evidence on the impact of extreme heat on health in LMICs, we hope to determine data needs and help direct future studies in addressing this knowledge gap. The focus on LMICs is justified by the lack of studies and data studying the health burden of higher temperatures in these regions even though LMICs have a lower capacity to adapt to high temperatures and thus an increased risk.
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Affiliation(s)
- Hunter Green
- Department of Family Medicine and Public Health, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA, USA
| | - Jennifer Bailey
- Scripps Institution of Oceanography, University of California, San Diego, CA, USA
| | - Lara Schwarz
- Department of Family Medicine and Public Health, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA, USA; Scripps Institution of Oceanography, University of California, San Diego, CA, USA
| | - Jennifer Vanos
- Department of Family Medicine and Public Health, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA, USA; Scripps Institution of Oceanography, University of California, San Diego, CA, USA
| | - Kristie Ebi
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA, USA; Scripps Institution of Oceanography, University of California, San Diego, CA, USA.
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27
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Cheng J, Zhang Y, Zhang W, Xu Z, Bambrick H, Hu W, Tong S. Assessment of heat- and cold-related emergency department visits in cities of China and Australia: Population vulnerability and attributable burden. ENVIRONMENTAL RESEARCH 2018; 166:610-619. [PMID: 29982149 DOI: 10.1016/j.envres.2018.06.026] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 06/12/2018] [Accepted: 06/12/2018] [Indexed: 05/22/2023]
Abstract
BACKGROUND Non-optimal ambient temperature has detrimental impacts on mortality worldwide, but little is known about the difference in population vulnerability to non-optimal temperature and temperature-related morbidity burden between developing and developed countries. OBJECTIVES We estimated and compared the associations of emergency department visits (EDV) with non-optimal temperature in terms of risk trigger temperature, the average slope of exposure-risk function and attributable risk in 12 cities from China and Australia. METHODS We modelled the associations of EDV with heat during warm season and with cold during cold season, separately, using generalized additive model. Population vulnerability within a given region was quantified with multiple risk trigger points including minimum risk temperature, increasing risk temperature and excessive risk temperature, and average coefficient of exposure-risk function. Fraction of EDV attributable to heat and cold was also calculated. RESULTS We found large between- and within-country contrasts in the identified multiple risk trigger temperatures, with higher heat and cold trigger points, except excessive risk temperature, observed in Australia than in China. Heat was associated with a relative risk (RR) of 1.009 [95% confidence interval (CI):1.007, 1.011] in China, which accounted for 5.9% of EDV. Higher RR of heat was observed in Australia (1.014, 95% CI: 1.010, 1.018), responsible for 4.0% of EDV. For cold effects, the RR was similar between two countries, but the attributable fraction was higher in China (9.6%) than in Australia (1.5%). CONCLUSIONS Exposure to heat and cold had adverse but divergent impacts on EDV in China and Australia. Further mitigation policy efforts incorporating region-specific population vulnerability to temperature impacts are necessary in both countries.
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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
| | - Yongming Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Wenyi Zhang
- Center for Disease Surveillance of PLA, Institute of Disease Control and Prevention of PLA, Beijing, China
| | - 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
| | - Wenbiao Hu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia.
| | - Shilu Tong
- Shanghai Children's Medical Centre, Shanghai Jiao-Tong University, Shanghai, China; School of Public Health, Institute of Environment and Human Health, Anhui Medical University, Hefei, China; School of Public Health and Social Work, Queensland University of Technology, Queensland, Australia.
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28
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Social inequalities in the association between temperature and mortality in a South European context. Int J Public Health 2018; 64:27-37. [DOI: 10.1007/s00038-018-1094-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 03/14/2018] [Accepted: 03/16/2018] [Indexed: 01/03/2023] Open
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