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Zhou X, Li C, Gao Y, Zhou C, Huang L, Zhang X. Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China. Rev Saude Publica 2022; 56:46. [PMID: 35703601 PMCID: PMC9165633 DOI: 10.11606/s1518-8787.2022056004324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/27/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To evaluate the relationship between ambient air pollutants and chronic obstructive pulmonary disease in relatively low-polluted areas in China. METHODS Atmospheric pollutants levels and meteorological data were obtained from January 2016 to December 2020. The medical database including daily hospital admissions for chronic obstructive pulmonary disease (ICD10: J44) was derived from the First Affiliated Hospital of Gannan Medical University. The generalized additive model was used to analyze the percentage change with 95% confidence interval in daily hospital admissions for chronic obstructive pulmonary disease associated with a 10 µg/m3 increase in atmospheric pollutants levels. RESULTS In total, occurred 4,980 chronic obstructive pulmonary disease hospital admissions (not including emergency department visits) during 2016-2020. The mean concentrations of daily PM2.5, PM10, SO2, NO2, O3, and CO were 37.5 μg/m3, 60.1 μg/m3, 18.7 μg/m3, 23.5 μg/m3, 70.0 μg/m3, and 1.2 mg/m3 in Ganzhou. Each 10 µg/m3 increment of PM2.5, PM10, NO2, and O3 were significantly associated with 2.8% (95%CI: 1.0-4.7), 1.3% (95%CI: 0.3-2.4), 2.8% (95%CI: 0.4-5.4), and 1.5% (95%CI: 0.2-2.7) elevation in daily chronic obstructive pulmonary disease hospital admissions. The estimates of delayed effects of PM2.5, PM10, NO2, and O3 were observed at lag6, lag6, lag8, lag1, respectively. The health effects of particulate pollutants (PM2.5 and PM10) may be independent of other pollutants. The adverse effects of air pollutants were more evident in the warm season (May-Oct) than in the cold season (Nov-Apr). CONCLUSION Our study demonstrated that elevated concentrations of atmospheric pollutant (PM2.5, PM10, NO2, and O3), especially particulate pollutants, can be associated with increased daily count of hospital admissions for chronic obstructive pulmonary disease , which may promote further understanding of the potential hazards of relatively low levels of air pollution on chronic obstructive pulmonary disease and other respiratory disorders.
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Affiliation(s)
- Xingye Zhou
- Gannan Medical University. School of Public Health and Health Management. Ganzhou, China
| | - Chenwei Li
- Gannan Medical University. School of Public Health and Health Management. Ganzhou, China
| | - Yanfang Gao
- Gannan Medical University. School of Public Health and Health Management. Ganzhou, China
| | - Chuanfei Zhou
- Gannan Medical University. School of Public Health and Health Management. Ganzhou, China
| | - Lei Huang
- Gannan Medical University. School of Public Health and Health Management. Ganzhou, China
| | - Xiaokang Zhang
- Gannan Medical University. School of Public Health and Health Management. Ganzhou, China
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Abubakar A, Ishak MY, Makmom AA. Nexus between climate change and oil palm production in Malaysia: a review. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:262. [PMID: 35260915 DOI: 10.1007/s10661-022-09915-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 02/28/2022] [Indexed: 06/14/2023]
Abstract
Climate change is believed to be caused by natural processes such as volcanic eruptions, which release ash into the atmosphere, and anthropogenic activities that increase the concentration of greenhouse gases (GHGs) in the atmosphere, such as carbon dioxide (CO2), which trap energy and cause intense warming. This article conducts a comprehensive review of existing literature relating to climate change and its impact on oil palm production in Malaysia. To enable analysis, articles were arranged, sorted, and categorized into various themes and associations based on the title of the article, abstract, and later the content. The findings reveal that climate change causes variability in the intensity and duration of rainfall, which ultimately affects the production of oil palm fresh fruit bunches (FFB) and the quality of crude palm oil (CPO). The decline in FFB increased the price of crude palm oil. The impacts of climate change on oil palm vary and are felt differently in different regions. Climate change increases the vulnerability and exposure of oil palms to various diseases, exposes them to water stress, and disrupts metabolic activities. The surface temperature in Malaysia is anticipated to rise by 1.5 to 2 °C, worsening the adaptation plans. Oil palm growers explore possible ways to adapt to and withstand the impacts of climate change by adopting the use of an improved variety of oil palm seedlings, soil management and fertility preservation, silt pit, mulching, intercropping, livelihood diversification, buying insurance, and best water conservation practices.
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Affiliation(s)
- Ahmed Abubakar
- Faculty of Forestry and Environment, Universiti Putra Malaysia, UPM, 43400 Serdang, Selangor, Malaysia.
| | - Mohd Yusoff Ishak
- Faculty of Forestry and Environment, Universiti Putra Malaysia, UPM, 43400 Serdang, Selangor, Malaysia
| | - Abdullah Ahmad Makmom
- Faculty of Forestry and Environment, Universiti Putra Malaysia, UPM, 43400 Serdang, Selangor, Malaysia
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Jung J, Lee EM, Myung W, Kim H, Kim H, Lee H. Burden of dust storms on years of life lost in Seoul, South Korea: A distributed lag analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 296:118710. [PMID: 34958849 DOI: 10.1016/j.envpol.2021.118710] [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: 08/24/2021] [Revised: 11/15/2021] [Accepted: 12/16/2021] [Indexed: 06/14/2023]
Abstract
Although dust storms have been associated with adverse health outcomes, studies on the burden of dust storms on deaths are limited. As global warming has induced significant climate changes in recent decades, which have accelerated desertification worldwide, it is necessary to evaluate the burden of dust storm-induced premature mortality using a critical measure of disease burden, such as the years of life lost (YLL). The YLL attributable to dust storms have not been examined to date. This study investigated the association between Asian dust storms (ADS) and the YLL in Seoul, South Korea, during 2002-2013. We conducted a time-series study using a generalized additive model assuming a Gaussian distribution and applied a distributed lag model with a maximum lag of 5 days to investigate the delayed and cumulative effects of ADS on the YLL. We also conducted stratified analyses using the cause of death (respiratory and cardiovascular diseases) and sociodemographic status (sex, age, education level, occupation, and marital status). During the study period, 108 ADS events occurred, and the average daily YLL was 1511 years due to non-accidental causes. The cumulative ADS exposure over the 6-day lag period was associated with a significant increase of 104.7 (95% CI, 31.0-178.5 years) and 34.4 years (4.0-64.7 years) in the YLL due to non-accidental causes and cardiovascular mortality, respectively. Sociodemographic analyses revealed associations between ADS exposure and the YLL in males, both <65 and ≥ 65 years old, those with middle-level education, and the unemployed, unmarried, and widowed (26.5-83.8 years). This study provides new evidence suggesting that exposure to dust storms significantly increases the YLL. Our findings suggest that dust storms are a critical environmental risk affecting premature mortality. These results could contribute to the establishment of public health policies aimed at managing dust storm exposure and reducing premature deaths.
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Affiliation(s)
- Jiyun Jung
- Data Management and Statistics Institute, Dongguk University Ilsan Hospital, 27 Dongguk-ro, Ilsandong-gu, Goyang-si, Gyeonggido, 10326, South Korea
| | - Eun-Mi Lee
- Department of Health Administration, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do, 26493, South Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, South Korea; Department of Psychiatry, College of Medicine, Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea
| | - Hyekyeong Kim
- Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, Seoul, 03760, South Korea
| | - Ho Kim
- Department of Public Health Science, School of Public Health, Seoul National University, 1 Kwanak-ro, Kwanak-gu, Seoul, 08826, South Korea
| | - Hyewon Lee
- Department of Health Administration and Management, College of Medical Sciences, Soonchunhyang University, 22 Soonchunhyang-ro, Asan, 31538, South Korea; Department of Software Convergence, Soonchunhyang University Graduate School, 22 Soonchunhyang-ro, Asan, 31538, South Korea.
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Sun Z, Wang Q, Chen C, Yang Y, Yan M, Du H, Chen K, Ji JS, Li T. Projection of Temperature-Related Excess Mortality by Integrating Population Adaptability Under Changing Climate - China, 2050s and 2080s. China CDC Wkly 2021; 3:697-701. [PMID: 34594971 PMCID: PMC8422175 DOI: 10.46234/ccdcw2021.174] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 08/12/2021] [Indexed: 11/14/2022] Open
Abstract
What is already known about this topic? An increasing number of studies have projected temperature-related mortality, but few consider the change of population's adaptability to future temperature and mortality burden from cold and heat effects. What is added by this report? This study offers a comprehensive characterization of human adaptability and excess mortality burden of temperature across various regions of China. What are the implications for public health practice? The temperature-related excess mortality was projected to increase in the 2050s and decrease in the 2080s. Heat adaptability was projected to increase in the future, but along with the rising temperatures, the heat-related excess mortality continuously rose, except for the low-speed rising scenario. Although the excess mortality of cold was projected to decrease in the nearer future, it might not keep declining in the long run, due to the decreasing cold-adaptability, which deserves more attention.
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Affiliation(s)
- Zhiying Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.,Institute of Environment and Health, Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - Qing Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yang Yang
- Institute of Urban Meteorology, China Meteorological Administration, Beijing, China
| | - Meilin Yan
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - John S Ji
- Environmental Research Center, Duke Kunshan University, Durham, NC, USA
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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Qiu C, Ji JS, Bell ML. Effect modification of greenness on temperature-mortality relationship among older adults: A case-crossover study in China. ENVIRONMENTAL RESEARCH 2021; 197:111112. [PMID: 33838131 PMCID: PMC8343965 DOI: 10.1016/j.envres.2021.111112] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 03/20/2021] [Accepted: 03/28/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Climate change exacerbates temperature-related mortality, but effects may vary by geographic characteristics. We hypothesize that higher greenness may mitigate temperature-related mortality, and that the effect may vary in different areas. OBJECTIVE We examined how mortality among older adults in China was associated with temperature for 2000-2014, and how geolocation and residential greenness may modulate this association. METHODS We used health data from the China Longitudinal Healthy Longevity Survey (CLHLS), and meteorological data from the Global Surface Summary of Day (GSOD) product by National Climate Data Center. We used a case-crossover study design with distributed nonlinear modeling to estimate mortality risks in relation to temperature, and stratified analysis by quartile of greenness. Greenness was estimated by Normalized Difference Vegetation Index (NDVI) from remote-sensed imagery. In addition to the national analysis, we also assessed three provinces (Jiangsu, Guangdong, and Liaoning) to examine differences by climatic regions. RESULTS Extreme temperatures had a significant association with higher mortality, with regional differences. Findings from the national analysis suggest that individuals in the lowest quartile of greenness exposure had a ratio of relative risks (RRR) of 1.38 (0.79, 2.42) for mortality risk on extreme hot days at the 95th percentile compared to those at the 50th percentile, compared to those in the highest quartile, which means those residing in the lowest quartile of greenness had a 38% higher RR than those residing in the highest quartile of greenness, where RR refers to the risk of mortality on days at the 95th percentile of temperature compared to days at the 50th percentile. The RRR for the highest to lowest quartiles of greenness for mortality risk on extreme cold days at the 5th percentile compared to the 50th percentile was 2.08 (0.12, 36.2). In Jiangsu and Guangdong provinces, both the heat effects and cold effects were the lowest in the highest greenness quartile, and the results in Liaoning province were not statistically significant, indicating different regional effects of greenness on modulating the temperature-mortality relationship. DISCUSSION We elucidated one pathway through which greenness benefits health by decreasing impact from extreme high temperatures. The effects of greenness differed by climatic regions. Policymakers should consider vegetation in the context of climate change and health.
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Affiliation(s)
- Chengcheng Qiu
- School of Public Health, Yale University, New Haven, CT, USA
| | - John S Ji
- Environmental Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Nicholas School of the Environment, Duke University, Durham, NC, USA.
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
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Cao R, Wang Y, Huang J, He J, Ponsawansong P, Jin J, Xu Z, Yang T, Pan X, Prapamontol T, Li G. The Mortality Effect of Apparent Temperature: A Multi-City Study in Asia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:4675. [PMID: 33924779 PMCID: PMC8124769 DOI: 10.3390/ijerph18094675] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 12/22/2022]
Abstract
(1) Background: The health effect of temperature has become a rising public health topic. The objective of this study is to assess the association between apparent temperature and non-accidental deaths, and the mortality burden attributed to cold and heat temperature; (2) Methods: The daily data on temperature and deaths were collected from 10 cities in Thailand, Korea and China. We fitted a time-series regression with a distributed lag nonlinear model (DLNM) to derive the health risk of temperature for each city and then pooled them to get the overall cumulative risk by multivariate meta-analysis. Additionally, we calculated the attributable fraction of deaths for heat and cold, which was defined as temperatures above and below minimum-mortality temperature (MMT); (3) Results: There are regional heterogeneities in the minimum mortality percentiles (MMP) and attributable fractions for different countries. The MMP varied from about the 5-10th percentile in Thailand to 63-93rd percentile in China and Korea. The attributable fractions of the total deaths due to short-term exposure to temperature in Asia is 7.62%, of which the cold effect (6.44%) is much higher than the heat effect (1.18%); (4) Conclusions: Our study suggested that apparent temperature was associated with an increase in non-accidental mortality. Most of the temperature-related mortality burden was attributable to cold, except for Thailand.
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Affiliation(s)
- Ru Cao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Yuxin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Jie He
- Peking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing 100191, China;
| | - Pitakchon Ponsawansong
- Environment and Health Research Unit, Research Institute for Health Science, Chiang Mai University, Chiang Mai 50200, Thailand; (P.P.); (T.P.)
| | - Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Zhihu Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Teng Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
- Environment and Health Research Unit, Research Institute for Health Science, Chiang Mai University, Chiang Mai 50200, Thailand; (P.P.); (T.P.)
| | - Tippawan Prapamontol
- Environment and Health Research Unit, Research Institute for Health Science, Chiang Mai University, Chiang Mai 50200, Thailand; (P.P.); (T.P.)
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; (R.C.); (Y.W.); (J.H.); (J.J.); (Z.X.); (T.Y.); (X.P.)
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Trend and Linearity Analysis of Meteorological Parameters in Peninsular Malaysia. SUSTAINABILITY 2020. [DOI: 10.3390/su12229533] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Climate change has often led to severe impact on the environment. This study aimed to investigate the monthly trends and linearity of meteorological parameters at four locations during the period from 1970 to 2016. These locations represent the south, north, east, and west of Peninsular Malaysia. The meteorological parameters used were monthly total precipitation (mm) and monthly average temperature (°C). To illustrate the methodology, the Mann–Kendall (MK) trend test and a non-parametric regression model were used. The MK trend test did not indicate significant trends in precipitation, but indicated a trend in temperature for all locations. The Sen value gives the amount of fluctuation of precipitation and temperature for every year. The results of the linearity test exhibited a linear trend for precipitation and temperature for most of the months throughout the study period. Thus, this study gives insights into the monthly trends of meteorological parameters, especially in Peninsular Malaysia.
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Liu X, Tian Z, Sun L, Liu J, Wu W, Xu H, Sun L, Wang C. Mitigating heat-related mortality risk in Shanghai, China: system dynamics modeling simulations. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2020; 42:3171-3184. [PMID: 32350804 PMCID: PMC7518989 DOI: 10.1007/s10653-020-00556-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 04/02/2020] [Indexed: 06/11/2023]
Abstract
Numerous studies in epidemiology, meteorology, and climate change research have demonstrated a significant association between abnormal ambient temperature and mortality. However, there is a shortage of research attention to a systematic assessment of potential mitigation measures which could effectively reduce the heat-related morbidity and mortality risks. This study first illustrates a conceptualization of a systems analysis version of urban framework for climate service (UFCS). It then constructs a system dynamics (SD) model for the UFCS and employs this model to quantify the impacts of heat waves on public health system in Shanghai and to evaluate the performances of two mitigation measures in the context of a real heat wave event in July 2013 in the city. Simulation results show that in comparison with the baseline without mitigation measures, if the hospital system could prepare 20% of beds available for emergency response to heat waves once receiving the warning in advance, the number of daily deaths could be reduced by 40-60 (15.8-19.5%) on the 2 days of day 7 and day 8; if increasing the minimum living allowance of 790 RMB/month in 2013 by 20%, the number of daily deaths could be reduced by 50-70 (17.7-21.9%) on the 2 days of day 8 and day 12. This tool can help policy makers systematically evaluate adaptation and mitigation options based on performance assessment, thus strengthening urban resilience to changing climate.
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Affiliation(s)
- Xiaochen Liu
- Shanghai Climate Center, Shanghai Meteorological Services, Shanghai, 200030 China
- Key Laboratory of Cities’ Mitigation and Adaptation to Climate Change in Shanghai, Shanghai, 200092 China
| | - Zhan Tian
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055 China
| | - Laixiang Sun
- Department of Geographical Sciences, University of Maryland, College Park, MD 20742 USA
- School of Finance and Management, SOAS University of London, Russell Square, London, WC1H 0XG UK
- International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
| | - Junguo Liu
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055 China
| | - Wei Wu
- Shanghai Climate Center, Shanghai Meteorological Services, Shanghai, 200030 China
- Key Laboratory of Cities’ Mitigation and Adaptation to Climate Change in Shanghai, Shanghai, 200092 China
| | - Hanqing Xu
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241 China
| | - Landong Sun
- Shanghai Climate Center, Shanghai Meteorological Services, Shanghai, 200030 China
- Key Laboratory of Cities’ Mitigation and Adaptation to Climate Change in Shanghai, Shanghai, 200092 China
| | - Chunfang Wang
- Shanghai Center of Disease Prevention and Control, Shanghai, 200336 China
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Venugopal V, Latha PK, Shanmugam R, Krishnamoorthy M, Srinivasan K, Perumal K, Chinnadurai JS. Risk of kidney stone among workers exposed to high occupational heat stress - A case study from southern Indian steel industry. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 722:137619. [PMID: 32197155 DOI: 10.1016/j.scitotenv.2020.137619] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 02/27/2020] [Accepted: 02/27/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND Predicted temperature rise is likely to increase the risks of development and progression of renal/urologic anomalies for workers engaged in physically exerting and high-heat occupations. METHODS We conducted a cross-sectional study with 340 steelworkers engaged in moderate to heavy labour with ≥3 year's heat exposures and assessed Wet Bulb Globe Temperature (WBGT) and heat-strain indicators. We captured self-reported heat-strain and kidney symptoms using validated questionnaires and subjected 91 workers to renal ultrasound upon referral of an occupational health specialist to detect and confirm any structural renal anomalies/stones. RESULTS The results show that heat exposures (Avg.WBGT = 33.2 °C ± 3.8 °C) exceeded the Threshold Limit Value (TLV) for 220 workers. 95% of the workers reported symptoms of heat strain and dehydration and significant associations between heat exposures, rise in Core Body Temperature (CBT) (p = 0.0001) and Urine Specific Gravity (USG) (p = 0.018) were observed. Of the 91 workers subjected to renal ultrasound, 33% were positive for kidney/ureteral stones (n = 25) & other structural renal anomalies (n = 5). Renal/urologic anomalies were higher in the heat-exposed workers (AOR = 2.374; 95% C.I = 0.927 to 6.077; p = 0.072) 29% of workers were from exposed group and 4% were from unexposed group. Years of exposure to heat (≥5 vs <5) were significantly associated with the risk of renal anomalies/calculi. CONCLUSION The preliminary finding concludes that high-heat stress combined with a heavy workload and chronic dehydration are high-risk factors for adverse renal health and calls for the urgent need for cooling interventions, enhanced welfare facilities, and protective labour policies to avert adverse health consequences for few million workers in the climate change scenario.
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Affiliation(s)
- Vidhya Venugopal
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu 600116, India.
| | - P K Latha
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu 600116, India.
| | - Rekha Shanmugam
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu 600116, India.
| | - Manikandan Krishnamoorthy
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu 600116, India.
| | - Krishnan Srinivasan
- Department of Physiology, Sri Ramachandra Institute of Higher Education and Research, No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu 600116, India
| | - Kumaravel Perumal
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu 600116, India.
| | - Jeremiah S Chinnadurai
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu 600116, India.
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The Impact of Non-optimum Ambient Temperature on Years of Life Lost: A Multi-county Observational Study in Hunan, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17082699. [PMID: 32295256 PMCID: PMC7215980 DOI: 10.3390/ijerph17082699] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 04/01/2020] [Accepted: 04/08/2020] [Indexed: 12/27/2022]
Abstract
The ambient temperature–health relationship is of growing interest as the climate changes. Previous studies have examined the association between ambient temperature and mortality or morbidity, however, there is little literature available on the ambient temperature effects on year of life lost (YLL). Thus, we aimed to quantify the YLL attributable to non-optimum ambient temperature. We obtained data from 1 January 2013 to 31 December 2017 of 70 counties in Hunan, China. In order to combine the effects of each county, we used YLL rate as a health outcome indicator. The YLL rate was equal to the total YLL divided by the population of each county, and multiplied by 100,000. We estimated the associations between ambient temperature and YLL with a distributed lag non-linear model (DNLM) in a single county, and then pooled them in a multivariate meta-regression. The daily mean YLL rates were 22.62 y/(p·100,000), 10.14 y/(p·100,000) and 2.33 y/(p·100,000) within the study period for non-accidental, cardiovascular, and respiratory disease death. Ambient temperature was responsible for advancing a substantial fraction of YLL, with attributable fractions of 10.73% (4.36–17.09%) and 16.44% (9.09–23.79%) for non-accidental and cardiovascular disease death, respectively. However, the ambient temperature effect was not significantly for respiratory disease death, corresponding to 5.47% (−2.65–13.60%). Most of the YLL burden was caused by a cold temperature than the optimum temperature, with an overall estimate of 10.27% (4.52–16.03%) and 15.94% (8.82–23.05%) for non-accidental and cardiovascular disease death, respectively. Cold and heat temperature-related YLLs were higher in the elderly and females than the young and males. Extreme cold temperature had an effect on all age groups in different kinds of disease-caused death. This study highlights that general preventative measures could be important for moderate temperatures, whereas quick and effective measures should be provided for extreme temperatures.
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Paterson SK, Godsmark CN. Heat-health vulnerability in temperate climates: lessons and response options from Ireland. Global Health 2020; 16:29. [PMID: 32228631 PMCID: PMC7106697 DOI: 10.1186/s12992-020-00554-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 03/05/2020] [Indexed: 11/29/2022] Open
Abstract
Background In Ireland, rising temperatures remains the climate projection that national climate scientists associate with the highest degree of confidence. However, the health challenge of heat has been largely absent from Ireland’s public health sector. This is epitomised by the lack of a comprehensive public health-focused heat-health action plan or country-specific codes of practice for heat-health when working outdoors. Our objective is to highlight the anticipated heat-health challenges in Ireland, and other temperate regions, through analysing vulnerable groups and systems, reinforcing the need to respond. Methods A scoping literature review was conducted to determine how heat affects health of the vulnerable in temperate climatic regions, with a focus on Ireland. Additionally, national Google Trends data was coarsely analysed to determine whether heat is a growing societal concern. Results and discussion The heat-vulnerable include: older people; chronically ill; infants, pregnant women, children; outdoor workers; socio-economically disadvantaged; urban dwellers; food systems and the health sector. Google Trends data suggest an increase in heat-related health searches over time, demonstrating rising levels of concern to temperature increases, reinforcing a gap in national policy associated with communication of, and response to, the heat-health challenge. Specific, actionable recommendations for adaptation and mitigation strategies are proposed. Conclusion Heat poses a public and occupational health challenge, receiving limited attention in Ireland. Lack of a co-ordinated effort, places vulnerable populations at risk. Our recommendations, with reference to vulnerable groups and acknowledging the multi-sectoral nature of heat-health and climate change, advocate for the adoption of a “health and climate change in all policies” approach and the development of a public health-focused heat-health action plan.
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Affiliation(s)
- Shona K Paterson
- College of Business, Arts and Social Sciences, Brunel University London, Uxbridge, UB8 3PH, UK
| | - Christie Nicole Godsmark
- School of Public Health, University College Cork, Western Gateway Building, Western Road, Cork, T12 XF62, Ireland. .,Environmental Research Institute, University College Cork, Cork, Ireland.
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Cheng J, Xu Z, Bambrick H, Su H, Tong S, Hu W. Impacts of exposure to ambient temperature on burden of disease: a systematic review of epidemiological evidence. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2019; 63:1099-1115. [PMID: 31011886 DOI: 10.1007/s00484-019-01716-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 03/25/2019] [Accepted: 03/27/2019] [Indexed: 05/21/2023]
Abstract
Ambient temperature is an important determinant of mortality and morbidity, making it necessary to assess temperature-related burden of disease (BD) for the planning of public health policies and adaptive responses. To systematically review existing epidemiological evidence on temperature-related BD, we searched three databases (PubMed, Web of Science, and Scopus) on 1 September 2018. We identified 97 studies from 56 counties for this review, of which 75 reported the fraction or number of health outcomes (include deaths and diseases) attributable to temperature, and 22 reported disability-adjusted life years (include years of life lost and years lost due to disability) related to temperature. Non-optimum temperatures (i.e., heat and cold) were responsible for > 2.5% of mortality in all included high-income countries/regions, and > 3.0% of mortality in all included middle-income countries. Cold was mostly reported to be the primary source of mortality burden from non-optimum temperatures, but the relative role of three different temperature exposures (i.e., heat, cold, and temperature variability) in affecting morbidity and mortality remains unclear so far. Under the warming climate scenario, almost all projections assuming no population adaptation suggested future increase in heat-related but decrease in cold-related BD. However, some studies emphasized the great uncertainty in future pattern of temperature-related BD, largely depending on the scenarios of climate, population adaptation, and demography. We also identified important discrepancies and limitations in current research methodologies employed to measure temperature exposures and model temperature-health relationship, and calculate the past and project future temperature-related BD. Overall, exposure to non-optimum ambient temperatures has become and will continue to be a considerable contributor to the global and national BD, but future research is still needed to develop a stronger methodological framework for assessing and comparing temperature-related BD across different settings.
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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, Brisbane, Queensland, 4059, Australia
| | - Zhiwei Xu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, 4059, Australia
| | - Hilary Bambrick
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, 4059, Australia
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - 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, Brisbane, Queensland, Australia
| | - Wenbiao Hu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, 4059, Australia.
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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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Jiao A, Yu C, Xiang Q, Zhang F, Chen D, Zhang L, Hu K, Zhang L, Zhang Y. Impact of summer heat on mortality and years of life lost: Application of a novel indicator of daily excess hourly heat. ENVIRONMENTAL RESEARCH 2019; 172:596-603. [PMID: 30875513 DOI: 10.1016/j.envres.2019.01.056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Revised: 01/30/2019] [Accepted: 01/31/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Previous studies have widely assessed heat-mortality relationships across global regions, while the epidemiological evidence regarding the heat effect on years of life lost (YLL) is relatively sparse. Current investigations using daily mean data cannot take hourly temperature variation into consideration and may underestimate heat effects. We developed a novel indicator, daily excess hourly heat (DEHH), to precisely evaluate the potential heat effects on mortality and YLL. METHODS Hourly data on temperature and daily information, including concentrations of air pollutants, relative humidity, and records of all registered deaths were obtained in Wuhan, China during the warm seasons (May-September) of 2009-2012. DEHH, developed in this study, is defined as daily total hourly temperatures that exceed a specific heat threshold. By performing time series regression analyses, we assessed the changes in daily mortality and YLL per interquartile range (IQR) increase in DEHH across different lag days. RESULTS The heat threshold evaluated by the Akaike Information Criterion for DEHH calculation is 30 °C (92th percentile of whole-year mean temperature distribution). Daily average DEHH was 13.9 °C, with an IQR of 19.9 °C. Linear exposure-response curves were found between DEHH and two health outcomes. Generally, heat effects lasted for 2-3 days and DEHH at lag 0-1 was most strongly associated with increased mortality and YLL. The effects were especially remarkable for stroke and ischemic heart disease mortality. Most intense effect on YLL was found in non-accidental deaths (20.11, 95% confidence interval: 8.90-31.33) at lag 0-1. More DEHH-related mortality and YLL from cardiovascular deaths were observed among males. People aged 0-74 years and males suffered more from YLL burden due to high temperatures. CONCLUSIONS Our study demonstrated that DEHH may be an alternative indicator to precisely measure heat effects on daily mortality and YLL. Further DEHH-based evidence from large scale investigations is needed so as to better understand heat-associated health burden and improve public response to extremely high temperatures.
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Affiliation(s)
- Anqi Jiao
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan 430071, China
| | - Chuanhua Yu
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan 430071, China; Global Health Institute, Wuhan University, Wuhan 430072, China
| | - Qianqian Xiang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - Faxue Zhang
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan 430071, China
| | - Dieyi Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, China
| | - Lan Zhang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - Kejia Hu
- Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University, Zhoushan 316021, China
| | - Ling Zhang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yunquan Zhang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China; Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan 430071, China.
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Li G, Li Y, Tian L, Guo Q, Pan X. Future temperature-related years of life lost projections for cardiovascular disease in Tianjin, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 630:943-950. [PMID: 29499549 DOI: 10.1016/j.scitotenv.2018.02.261] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/15/2018] [Accepted: 02/21/2018] [Indexed: 06/08/2023]
Abstract
It is widely accepted that temperatures is associated with cardiovascular mortality, however, few studies have explored the effects of temperature on years of life lost (YLL) from cardiovascular mortality in China under future global warming scenarios. Therefore, there is an urgent need to obtain projections of YLL from cardiovascular diseases. Here we applied nineteen global-scale climate models (GCMs) and three Representative Concentration Pathway emission scenarios (RCPs) in the 2050s and 2070s for temperature-related YLL projection in Tianjin, China. We found the relationships between daily maximum temperatures with YLL from cardiovascular mortality were basically U-shaped. We observed increasing net annual YLL across a range of multiple models under different climate scenarios, suggesting that increasing heat-related YLL from cardiovascular mortality could offset decreasing cold-related YLL from cardiovascular mortality. The largest temperature-related YLL from cardiovascular mortality were observed under the RCP8.5 scenario and increased more rapidly in the 2070s versus the 2050s. Monthly analyses of percent changes in YLL from cardiovascular mortality showed that the largest percent increases occurred from May to September. If warm adaptation occurs, only the adverse effects under RCP2.6 could be fully offset in both 2050 and 2070. Our exploration provided further evidence for the potential health impacts of global warming and highlighted that government should develop environmental policies for future health risks.
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Affiliation(s)
- Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Yixue Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Lin Tian
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Qun Guo
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
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