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Guo M, Qi J, He G, Liu J, Hu J, Yin P, Liu T, Lin Z, Jing F, You J, Ma W, Liu F, Zhou M. The current and future temperature-related mortality burden of cause-specific kidney diseases: A national case-crossover study in China. ENVIRONMENTAL RESEARCH 2025; 279:121696. [PMID: 40320029 DOI: 10.1016/j.envres.2025.121696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2025] [Revised: 04/07/2025] [Accepted: 04/24/2025] [Indexed: 05/07/2025]
Abstract
BACKGROUND Many studies have investigated the association of temperature with non-accidental mortality, but there is limited evidence on the temperature-related mortality burden of kidney diseases. This study aims to assess the mortality impact of temperatures on cause-specific kidney in China. METHODS We conducted a time-stratified case-crossover study using mortality data from kidney diseases across 2790 counties/districts in China from 2003 to 2022. We used conditional logistic regression in conjunction with distribution lag nonlinear model (DLNM) to examine the association between temperature and kidney disease mortality. Furthermore, we projected the mortality burden of kidney diseases attributed to temperature under diverse climate change scenarios in China in the future. RESULTS The study included 914,177 kidney disease fatalities, revealing an inversely J-shaped association between temperature and kidney disease mortality across various subgroups. Both extreme cold (Odds ratios [OR] = 1.34, 95 % CI: 1.27-1.41) and extreme heat (1.06, 95 % CI: 1.02-1.10) were linked to increased kidney mortality, with a more pronounced effect in females [1.08(95 % CI: 1.02-1.14) for extreme heat, 1.34(95 % CI: 1.24-1.46) for extreme cold], the elderly [1.07(95 % CI: 1.03-1.12) for extreme heat, 1.35(95 % CI: 1.26-1.45) for extreme cold ] and those with acute kidney disease [1.10(95 % CI: 0.96-1.26)] for extreme heat, 1.43(95 % CI: 1.19-1.73) for extreme cold]. Nationwide, temperatures accounted for 9.28 % (95 % CI: 9.17 %-9.40 %) of kidney disease mortality, with 9.15 % (95 % CI: 9.03 %-9.26 %) for cold and 0.13 % (95 % CI: 0.12 %-0.14 %) for heat, and temperature-related AF of acute kidney disease was the greatest (attributable fraction [AF] = 11.00 %,95 %CI:10.71 %-11.31 %). Projections suggest that temperature-related AFs would rise from 11.39 % (95 % CI: 8.19 %-13.89 %) in the 2050s to 15.26 % (95 % CI: 10.30 %-18.68 %) in the 2090s under SSP5-8.5, with heat-related AFs increasing from 2.82 % (95 % CI: 1.8 %-4.20 %) to 7.12 % (95 % CI: 4.23 %-10.09 %) and cold-related AFs decreasing from 8.57 % (95 % CI: 5.71 %-9.89 %) to 8.14 % (95 % CI: 5.22 %-8.81 %). CONCLUSION Our study indicates that temperatures are significantly associated with the mortality risk and burden of kidney diseases in China, and temperature-related mortality is expected to increase in the future, particularly from heat. Our findings indicate that kidney diseases are vulnerable to ambient temperature in the context of climate change.
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Affiliation(s)
- Mengen Guo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jinlei Qi
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, 510632, China
| | - Jiangmei Liu
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China
| | - Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, 510632, China
| | - Peng Yin
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Fengrui Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jinling You
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China.
| | - Fanna Liu
- Nephrology Department, The First Affiliated Hospital, Jinan University, Guangzhou, 510632, China.
| | - Maigeng Zhou
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China.
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Wang W, Zhang X, Zhang M, Zhang F, Li C, Yang C, Zhao Z, Wang J, Wang F, Li P, Zhou Y, Wang L, Zhang L. Extreme temperature events, "Life's Essential 8", and prevalence of chronic kidney disease: A nationally representative surveillance in China. ENVIRONMENT INTERNATIONAL 2024; 194:109176. [PMID: 39657396 DOI: 10.1016/j.envint.2024.109176] [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: 06/01/2024] [Revised: 11/28/2024] [Accepted: 11/29/2024] [Indexed: 12/12/2024]
Abstract
The population disease burden caused by extreme temperature events has been increasing. However, research on the long-term effects of extreme temperature events on chronic kidney disease (CKD), as well as the combined effects with individual behaviors and metabolic factors is still lacking. Based on 176,874 participants from the most recent nationally representative surveillance on CKD and validated high spatial resolution (0.1°) remote-sensing products, this study investigated the associations between extreme temperature events in the preceding five years before investigation and CKD (defined by reduced renal function or albuminuria) prevalence. We also investigated the associations between "Life's Essential 8", a recognized scale to evaluate overall cardiovascular health (CVH) based on individual behaviors and metabolic indicators and CKD prevalence, as well as its combined effects with extreme temperature events. One additional day of heat waves and cold spells per year was associated with increased ORs of CKD [1.10 (95 % CI: 1.08, 1.11) and 1.07 (95 % CI: 1.05, 1.09), respectively]. Meanwhile, per standard deviation (SD) increment in health behavior score (SD = 16.1), health factor score (SD = 18.4), and overall CVH score (SD = 12.4) were associated with decreased ORs of CKD [0.92 (95 % CI: 0.90, 0.93), 0.60 (95 % CI: 0.59, 0.61), and 0.64 (95 % CI: 0.63, 0.65, respectively]. Relative to higher heat wave & lower CVH score group, the ORs of CKD were 0.87 (95 % CI: 0.84, 0.90), 0.51 (95 % CI: 0.48, 0.53), and 0.42 (95 % CI: 0.40, 0.44) in lower & lower, higher & higher, and lower & higher group, respectively. Our findings underscore the importance of considering the synergistic effects of individual behavioral and metabolic factors for strategies to mitigate the impacts of climate change on CKD.
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Affiliation(s)
- Wanzhou Wang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, People's Republic of China; National Institute of Health Data Science at Peking University, Beijing 100191, People's Republic of China; Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing 100034, People's Republic of China
| | - Xiao Zhang
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Mei Zhang
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Feifei Zhang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, People's Republic of China; National Institute of Health Data Science at Peking University, Beijing 100191, People's Republic of China; Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing 100034, People's Republic of China
| | - Chun Li
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, People's Republic of China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, People's Republic of China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, People's Republic of China; Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing 100034, People's Republic of China
| | - Zhenping Zhao
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, People's Republic of China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, People's Republic of China
| | - Fulin Wang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, People's Republic of China; National Institute of Health Data Science at Peking University, Beijing 100191, People's Republic of China
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou 311215, People's Republic of China
| | - Ying Zhou
- Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People's Republic of China
| | - Limin Wang
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
| | - Luxia Zhang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, People's Republic of China; National Institute of Health Data Science at Peking University, Beijing 100191, People's Republic of China; Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, People's Republic of China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, People's Republic of China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, People's Republic of China; Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing 100034, People's Republic of China.
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Talukder MR, Islam MT, Mathew S, Perry C, Phung D, Rutherford S, Cass A. The effect of ambient temperatures on hospital admissions for kidney diseases in Central Australia. ENVIRONMENTAL RESEARCH 2024; 259:119502. [PMID: 38945510 DOI: 10.1016/j.envres.2024.119502] [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: 01/18/2024] [Revised: 06/02/2024] [Accepted: 06/25/2024] [Indexed: 07/02/2024]
Abstract
This study aimed to quantify risk of hospitalisations for kidney diseases related to ambient temperature in Central Australia, Northern Territory (NT). Daily hospitalisation data were extracted for Alice Springs Hospital, Central Australia, 2010-2021. The association between daily mean temperature and daily hospital admissions for total kidney and specific kidney conditions was assessed using a quasi-Poisson Generalized Linear Model combined with a distributed lag non-linear model. A total of 52,057 hospitalisations associated with kidney diseases were recorded. In general, risk of specific kidney related hospitalisations was immediate due to hot temperatures and prolonged due to cold temperatures. Relative to the minimum-risk temperature (5.1 °C), at 31 °C, cumulative relative risk (RR) of hospitalisations for total kidney disease (TKD) was 1.297 [95% CI 1.164,1.446] over lag0-1 days, for chronic kidney disease (CKD) cumulative RR was 1.269 [95% CI 1.115,1.444] and for kidney failure (KF) cumulative RR was 1.252 [95% CI 1.107,1.416] at lag 0, and for urinary tract infection (UTI) cumulative RR was 1.522 [95% CI 1.072,2.162] over lag0-7 days. At 16 °C and over lag0-7 days, cumulative RR of hospitalisations for TKD was 1.320 [95% CI 1.135,1.535], for CKD was 1.232 [95% CI 1.025,1.482], for RF was 1.233 [95% CI 1.035,1.470] and for UTI was 1.597 [95% CI 1.143, 2.231]. Both cold and hot temperatures were also associated with increased risks of kidney related total hospitalisations among First Nations Australians and women. Overall, temperature attributable to 13.7% (i.e. 7138 cases) of kidney related hospitalisations with higher attributable hospitalisations from cold temperature. Given the significant burden of kidney disease and projected increases in extreme temperatures associated with climate change in NT including Central Australia there is a need to implement public health and environmental health risk reduction strategies and awareness programs to mitigate potential adverse health effects of extreme temperatures.
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Affiliation(s)
- Mohammad Radwanur Talukder
- Leukaemia Foundation, Adelaide, SA, Australia; Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
| | - Md Tauhidul Islam
- Health Administration, Policy and Leadership Program, Murdoch Business School, Murdoch University, Perth, WA, Australia
| | - Supriya Mathew
- Menzies School of Health Research, Charles Darwin University, NT, Australia
| | - Chris Perry
- Aboriginal Medical Services Alliance Northern Territory, Alice Springs, NT, Australia
| | - Dung Phung
- School of Public Health, The University of Queensland, QLD, Australia; Queensland Alliance for Environmental Health Sciences, The University of Queensland, QLD, Australia
| | - Shannon Rutherford
- School of Medicine and Dentistry, Griffith University, Gold Coast, Australia
| | - Alan Cass
- Menzies School of Health Research, Charles Darwin University, NT, Australia
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4
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Zhou L, Wei Y, Ge Y, Li Y, Liu K, Gao Y, Song B, Li Y, Zhang D, Bo Y, Zhang J, Xu Y, Duan X. Global, regional, and national burden of stroke attributable to extreme low temperatures, 1990-2019: A global analysis. Int J Stroke 2024; 19:676-685. [PMID: 38425241 DOI: 10.1177/17474930241238636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
BACKGROUND Extreme ambient temperatures have been linked to increased risks of stroke morbidity and mortality. However, global estimates of the burden of stroke due to extreme low temperatures are not well-defined. AIMS This study aimed to determine the global burden of stroke due to extreme low temperatures and its spatiotemporal trend from 1990 to 2019. METHODS Based on the Global Burden of Disease Study 2019, we obtained global, regional, and national data on deaths, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized rate of DALYs (ASDR) of stroke attributed to extreme low temperatures, further stratified by age, sex, and sociodemographic index (SDI). RESULTS Globally, in 2019, an estimated 474,000 stroke deaths with the corresponding ASMR (6.2 (95% uncertainty interval (UI): 4.6-7.9)) and ASDR (103.9 (95% UI: 77.0-134.5)) per 100,000 population, were attributable to extreme low temperatures. The most significant burden was observed in Central Asia, followed by Eastern Europe and East Asia. From 1990 to 2019, the global burden of stroke and its subtypes (ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage) attributable to extreme low temperatures exhibited a decrease in both ASMR and ASDR. Significant decreases in stroke burden occurred in the high-SDI regions, high-income Asia Pacific, and subarachnoid hemorrhage cases. Moreover, the ASMR and ASDR increased with age and were higher in males than females. CONCLUSION The global stroke burden due to extreme low temperatures remains high despite a decreasing trend over the past three decades. The stroke burden due to extreme low temperatures was more notable for Central Asia, older people, and the male sex.
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Affiliation(s)
- Lue Zhou
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yujie Wei
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yahao Ge
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yapeng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kai Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bo Song
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yusheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Daping Zhang
- Department of Cardiology, Huaihe Hospital of Henan University, Kaifeng, China
| | - Yacong Bo
- Department of Nutrition, College of Public Health, Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoran Duan
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Chen J, Li C, Bu CLN, Wang Y, Qi M, Fu P, Zeng X. Global burden of non-communicable diseases attributable to kidney dysfunction with projection into 2040. Chin Med J (Engl) 2024:00029330-990000000-01088. [PMID: 38809055 DOI: 10.1097/cm9.0000000000003143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND Spatiotemporal disparities exist in the disease burden of non-communicable diseases (NCDs) attributable to kidney dysfunction, which has been poorly assessed. The present study aimed to evaluate the spatiotemporal trends of the global burden of NCDs attributable to kidney dysfunction and to predict future trends. METHODS Data on NCDs attributable to kidney dysfunction, quantified using deaths and disability-adjusted life-years (DALYs), were extracted from the Global Burden of Diseases Injuries, and Risk Factors (GBD) Study in 2019. Estimated annual percentage change (EAPC) of age-standardized rate (ASR) was calculated with linear regression to assess the changing trend. Pearson's correlation analysis was used to determine the association between ASR and Sociodemographic Index (SDI) for 21 GBD regions. A Bayesian age-period-cohort (BAPC) model was used to predict future trends up to 2040. RESULTS Between 1990 and 2019, the absolute number of deaths and DALYs from NCDs attributable to kidney dysfunction increased globally. The death cases increased from 1,571,720 (95% uncertainty interval [UI]: 1,344,420-1,805,598) in 1990 to 3,161,552 (95% UI: 2,723,363-3,623,814) in 2019 for both sexes combined. Both the ASR of death and DALYs increased in Andean Latin America, the Caribbean, Central Latin America, Southeast Asia, Oceania, and Southern Sub-Saharan Africa. In contrast, the age-standardized metrics decreased in the high-income Asia Pacific region. The relationship between SDI and ASR of death and DALYs was negatively correlated. The BAPC model indicated that there would be approximately 5,806,780 death cases and 119,013,659 DALY cases in 2040 that could be attributed to kidney dysfunction. Age-standardized death of cardiovascular diseases (CVDs) and CKD attributable to kidney dysfunction were predicted to decrease and increase from 2020 to 2040, respectively. CONCLUSION NCDs attributable to kidney dysfunction remain a major public health concern worldwide. Efforts are required to attenuate the death and disability burden, particularly in low and low-to-middle SDI regions.
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Affiliation(s)
- Jing Chen
- Division of Nephrology, Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Chunyang Li
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Ci Li Nong Bu
- Division of Nephrology, Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yujiao Wang
- Division of Nephrology, Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Mei Qi
- Division of Nephrology, The Second People's Hospital of Tibet Autonomous Region, Lhasa, Tibet 850030, China
| | - Ping Fu
- Division of Nephrology, Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xiaoxi Zeng
- Division of Nephrology, Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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Mano Y, Yuan L, Ng CFS, Hashizume M. Association between ambient temperature and genitourinary emergency ambulance dispatches in Japan: A nationwide case-crossover study. Environ Epidemiol 2024; 8:e298. [PMID: 38617428 PMCID: PMC11008653 DOI: 10.1097/ee9.0000000000000298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/29/2024] [Indexed: 04/16/2024] Open
Abstract
Background Although the effects of temperature on genitourinary morbidity and mortality have been investigated in several countries, it remains largely unexplored in Japan. We investigated the association between ambient temperature and genitourinary emergency ambulance dispatches (EADs) in Japan and the modifying roles of sex, age, and illness severity. Methods We conducted a time-stratified case-crossover study with conditional quasi-Poisson regression to estimate the association between mean temperature and genitourinary EADs in all prefectures of Japan between 2015 and 2019. A mixed-effects meta-analysis was used to pool the association at the country level. Subgroup analyses were performed to explore differences in associations stratified by sex, age, and illness severity. Results We found an increased risk of genitourinary EAD associated with higher temperatures. The cumulative relative risk (RR) at the 99th temperature percentile compared with that at the 1st percentile was 1.74 (95% confidence interval (CI) = [1.60, 1.89]). We observed higher heat-related RRs in males (RR = 1.89; 95% CI = [1.73, 2.07]) than females (RR = 1.56; 95% CI = [1.37, 1.76]), and in the younger (RR = 2.13; 95% CI = [1.86, 2.45]) than elderly (RR = 1.39; 95% CI = [1.22, 1.58]). We found a significant association for those with mild or moderate cases (RR = 1.77; 95% CI = [1.62, 1.93]), but not for severe or life-threatening cases (RR = 1.20; 95% CI = [0.80, 1.82]). Conclusion Our study revealed heat effects on genitourinary EADs in Japan. Men, youth, and mild-moderate illnesses were particularly vulnerable subgroups. These findings underscore the need for preventative measures aimed at mitigating the impact of temperature on genitourinary emergencies.
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Affiliation(s)
- Yasuko Mano
- Keck School of Medicine of the University of Southern California, Los Angeles, California
| | - Lei Yuan
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Chris Fook Sheng Ng
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Lee J, Oh S, Byon JY, Lee W, Weon B, Ko A, Jin W, Kim DK, Kim S, Oh YK, Kim YS, Lim CS, Lee JP. Long-term exposure to high perceived temperature and risk of mortality among patients with chronic kidney disease. Heliyon 2024; 10:e25222. [PMID: 38322898 PMCID: PMC10844275 DOI: 10.1016/j.heliyon.2024.e25222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 01/21/2024] [Accepted: 01/23/2024] [Indexed: 02/08/2024] Open
Abstract
Health risks due to climate change are emerging, particularly from high-temperature exposure. The perceived temperature is an equivalent temperature based on the complete heat budget model of the human body. Therefore, we aimed to analyze the effect of perceived temperature on overall mortality among patients with chronic kidney disease. In total, 32,870 patients with chronic kidney disease in Seoul participated in this retrospective study (2001-2018) at three medical centers. The perceived temperature during the summer season was calculated using meteorological factors, including the air temperature near the automated weather station, dew point temperature, wind velocity, and total cloud amount. We assessed the association between perceived temperature using Kriging spatial interpolation and mortality in patients with CKD in the time-varying Cox proportional hazards model that was adjusted for sex, age, body mass index, hypertension, diabetes mellitus, estimated glomerular filtration rate, smoking, alcohol consumption, and educational level. During the 6.14 ± 3.96 years of follow-up, 3863 deaths were recorded. In multivariable analysis, the average level of perceived temperature and maximum level of perceived temperature demonstrated an increased risk of overall mortality among patients with chronic kidney disease. The concordance index for mortality of perceived temperature was higher than temperature, discomfort index, and heat index. When stratified by age, diabetes mellitus, and estimated glomerular filtration rate, patients with chronic kidney disease with young age (age <65 years) showed higher hazard ratio for mortality (interaction P = 0.049). Moreover, the risk of death in the winter and spring seasons was more significant compared to that of the summer and autumn seasons. Therefore, long-term exposure to high perceived temperature during summer increases the risk of mortality among patients with chronic kidney disease.
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Affiliation(s)
- Jeonghwan Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Sohee Oh
- Medical Research Collaborating Center, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Jae-Young Byon
- National Meteorological Satellite Center, Korea Meteorological Administration, Jincheon, Chungcheongbuk-do, Republic of Korea
| | - Whanhee Lee
- Data Science, School of Biomedical Convergence Engineering, Pusan National University, Pusan, Republic of Korea
| | - Boram Weon
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Ara Ko
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Wencheng Jin
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sejoong Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul, Republic of Korea
| | - Yun Kyu Oh
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
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8
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Neyra JS, Davis RE. The association between climate and emergency department visits for renal and urinary disease in Charlottesville, Virginia. ENVIRONMENTAL RESEARCH 2024; 240:117525. [PMID: 37898224 DOI: 10.1016/j.envres.2023.117525] [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: 06/16/2023] [Revised: 10/19/2023] [Accepted: 10/25/2023] [Indexed: 10/30/2023]
Abstract
Diseases of the kidney and urinary tract impose a significant portion of the total disease burden, and linkages to high temperature exposure suggest that this burden may increase in the near future. We examined the association between climate and daily emergency department (ED) visits for kidney and urinary disease at the University of Virginia main hospital in Charlottesville, Virginia from 2005 to 2020. Generalized additive models and distributed lag nonlinear models were used to examine these associations over a 21-day lag period. After testing a variety of weather variables from observations taken at the Charlottesville, Albemarle County Airport weather station, 1 p.m. temperature was found to have the strongest association with ED visits for renal and urinary visits while controlling for seasonal and trend factors, air quality, day of the week, and wintry weather. The relative risk of ED visits exhibited a stronger association with high temperatures compared to low temperatures. The heat response was pronounced at short lags (0-1 days) with the relative risk (RR) increasing when 1 p.m. temperatures exceeded 20°C and peaking at 29°C (RR = 1.28). By comparison, low temperatures (≤0°C) exhibited a negative association (RR = 0.80 at -10°C) at short lags (0-1 day), with evidence of a weak RR increase at lags of 2-3 and 9-14 days. These results for ED visitation are consistent with other studies linking high temperatures to acute kidney injury, chronic kidney disease, the development of kidney stones, and other associated illnesses. A better understanding of the impact of temperature extremes in generating or exacerbating existing conditions could assist medical health professionals in the prevention and management of these diseases during extreme weather events.
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Affiliation(s)
- Jesus S Neyra
- Department of Environmental Sciences, University of Virginia, Charlottesville, VA, United States.
| | - Robert E Davis
- Department of Environmental Sciences, University of Virginia, Charlottesville, VA, United States.
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Lindsay S, Hsu S, Ragunathan S, Lindsay J. The impact of climate change related extreme weather events on people with pre-existing disabilities and chronic conditions: a scoping review. Disabil Rehabil 2023; 45:4338-4358. [PMID: 36426560 DOI: 10.1080/09638288.2022.2150328] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 11/16/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE People with disabilities experience a disproportionate impact of extreme weather events and there is a critical need to better understand the impact that climate change has for them. Most previous reviews focus on the risk of acquiring a new disability or injury after a climate-related event and not the impact on people with pre-existing disabilities or chronic conditions, which is the purpose of this study. METHODS We conducted a scoping review while searching seven international databases that identified 45 studies meeting our inclusion criteria. RESULTS The studies included in our review involved 2 337 199 participants with pre-existing disabilities and chronic conditions across 13 countries over a 20-year period. The findings demonstrated the following trends: (1) the impact on physical and mental health; (2) the impact on education and work; (3) barriers to accessing health and community services (i.e., lack of access to services, lack of knowledge about people with disabilities, communication challenges, lack of adequate housing); and (4) coping strategies (i.e., social supports and connecting to resources) and resilience. CONCLUSIONS Our findings highlight the critical need for rehabilitation clinicians and other service providers to explore opportunities to support their clients in preparing for climate-related emergencies.
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Affiliation(s)
- Sally Lindsay
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Shaelynn Hsu
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - Sharmigaa Ragunathan
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - John Lindsay
- Department of Geography, Environment & Geomatics, University of Guelph, Guelph, Canada
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10
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Gui C, Shan X, Liu C, He L, Zhao H, Luo B. Disease burden of chronic kidney disease attributable to lead exposure: A global analysis of 30 years since 1990. CHEMOSPHERE 2023; 341:140029. [PMID: 37669716 DOI: 10.1016/j.chemosphere.2023.140029] [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: 07/07/2023] [Revised: 08/27/2023] [Accepted: 08/30/2023] [Indexed: 09/07/2023]
Abstract
BACKGROUND Exposure to lead (Pb) is associated with an increased risk of chronic kidney disease (CKD). However, limited studies explored the global burden of CKD attributable to Pb exposure, especially in countries with different development levels. This study aimed to comprehensively evaluate the temporal and spatial trend in the disease burden of CKD attributable to Pb exposure in 204 countries and territories from 1990 to 2019. METHODS We used the data from Global Burden of Disease Study (GBD) 2019 to estimate annual deaths, disability-adjusted life years (DALYs), age-standardized mortality rates (ASMR), and age-standardized DALYs rate (ASDR) of CKD attributable to Pb exposure. The annual average percentage change (AAPCs) was calculated using the Joinpoint model to evaluate the changing trend of CKD ASMR and ASDR attributable to Pb exposure from 1990 to 2019. Meanwhile, age-period-cohort (APC) model was used to assess changes in the mortality of CKD attributable to Pb exposure from 1990 to 2019. RESULTS Global ASMR for CKD attributable to Pb exposure trended upward from 1990 to 2019. ASMR and ASDR were the highest in low and low-middle SDI regions. With the APC model, we found that global mortality rates for CKD attributable to Pb exposure increased with age. The global period rate ratio showed the highest value in 2000-2004 and the lowest in 2015-2019, while the global cohort rate ratio showed the highest value in 1941-1949 and the lowest during 1986-1994. CONCLUSIONS From 1990 to 2019, the global burden of CKD attributable to Pb exposure increased globally, especially in low and low-middle SDI regions, as well as the elderly. Pb exposure is still a great threat to the global burden of CKD, and the implementation of effective prevention measures to reduce Pb exposure in the environment should be continually strengthened.
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Affiliation(s)
- Chunyan Gui
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Xiaobing Shan
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Ce Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Li He
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Hao Zhao
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
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11
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Bo Y, Zhu Y, Lu R, Chen L, Wen W, Jiang B, Wang X, Li J, Chen S, Qin P. Burden of stroke attributable to high ambient temperature from 1990 to 2019: A global analysis. Int J Stroke 2023; 18:1121-1131. [PMID: 37300302 DOI: 10.1177/17474930231183858] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
AIMS To determine the global and regional burden of stroke due to high temperature and the spatiotemporal trends in 204 countries and territories from 1990 to 2019. METHODS Based on Global Burden of Disease Study 2019, deaths, disability-adjusted life years (DALYs), and age-standardized mortality rate (ASMR) and age-standardized DALY rate (ASDR) for stroke attributable to high temperature (i.e. a daily mean temperature warmer than the theoretical minimum-risk exposure level (TMREL)) were calculated in global, geographical location, and country and analyzed by age, sex, subtypes, and socio-demographic index (SDI) from 1990 to 2019. The trends in ASMR and ASDR from 1990 to 2019 were estimated by linear regression model. The regression coefficients (β) referred to a mean change of per year for ASMR or ASDR attributable to high temperature. RESULTS The global burden of stroke attributable to high temperature had an increase trend from 1990 to 2019 (β = 0.005, 95% uncertainty interval (UI) = 0.003-0.007 for ASMR and β = 0.104, 95% UI = 0.066-0.142 for ASDR, respectively). Globally, in 2019, an estimated 0.048 million deaths and 1.01 million DALYs of stroke were attributable to high temperature, and the global ASMR and ASDR of stroke attributable to high temperature were 0.60 (95% UI = 0.07-1.30) and 13.31 (1.40-28.97) per 100,000 population, respectively. The largest burden occurred in Western Sub-Saharan Africa, followed by South Asia, Southeast Asia, and North Africa and the Middle East. ASMR and ASDR increased with age and were higher in males and for intracerebral hemorrhage, and were the highest in the low SDI regions. In 2019, the region with the largest percentage increase in ASMR and ASDR attributable to high temperature was Eastern Sub-Saharan Africa from 1990 to 2019. CONCLUSIONS Stroke burden due to high temperature has been increasing, and a higher burden was observed in people aged 65-75 years, males, and countries with a low SDI. Stroke burden attributable to high temperature constitutes a major global public health concern in the context of global warming.
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Affiliation(s)
- Yacong Bo
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yongjian Zhu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiqi Lu
- School of Public Health, Shantou University, Shantou, China
- Clinical Center for Public Health, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Lifang Chen
- Department of Cardiology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Wanyi Wen
- School of Public Health, Shantou University, Shantou, China
- Clinical Center for Public Health, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Bin Jiang
- Department of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Xiaojie Wang
- Department of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Jiangtao Li
- Department of Cardiology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Shanquan Chen
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Pei Qin
- Clinical Center for Public Health, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
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12
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Liu Y, Wang D, Huang X, Liang R, Tu Z, You X, Zhou M, Chen W. Temporal trend and global burden of type 2 diabetes attributable to non-optimal temperature, 1990-2019: an analysis for the Global Burden of Disease Study 2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:82686-82695. [PMID: 37328723 DOI: 10.1007/s11356-023-28225-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/08/2023] [Indexed: 06/18/2023]
Abstract
Exposure to hot or cold temperatures was reported to be associated with increased mortality and morbidity of type 2 diabetes, but few studies have estimated the temporal trend and global burden of type 2 diabetes attributable to non-optimal temperature. Based on the Global Burden of Disease Study 2019, we collected data on the numbers and rates of deaths and disability-adjusted life years (DALYs) of type 2 diabetes attributed to non-optimal temperature. The joinpoint regression analysis was used to estimate the temporal trends of the age-standardized rate of mortality and DALYs from 1990 to 2019 by average annual percentage change (AAPC). From 1990 to 2019, globally, the numbers of deaths and DALYs of type 2 diabetes attributable to non-optimal temperature increased by 136.13% (95% (uncertainty interval) UI: 87.04% to 277.76%) and 122.26% (95% UI: 68.77% to 275.59%), with the number from 0.05 (95% UI: 0.02 to 0.07) million and 0.96 (95% UI: 0.37 to 1.51) million in 1990 to 0. 11 (95% UI: 0.07 to 0.15) million and 2.14 (95% UI: 1.35 to 3.13) million in 2019. The age-standardized mortality rate (ASMR) and DALYs rate (ASDR) of type 2 diabetes attributable to non-optimal temperature showed an increasing trend in the high temperature effect and lower (low, low-middle and middle) socio-demographic index (SDI) region, with AAPCs of 3.17%, 1.24%, 1.61%, and 0.79% (all P < 0.05), respectively. The greatest increased ASMR and ASDR were observed in Central Asia, followed by Western Sub-Saharan Africa and South Asia. Meanwhile, the contribution of type 2 diabetes burden attributable to high temperature gradually increased globally and in five SDI regions. In addition, the global age-specific rate of mortality and DALYs of type 2 diabetes attributable to non-optimal temperature for both men and women almost increased with age in 2019. The global burden of type 2 diabetes attributable to non-optimal temperature increased from 1990 to 2019, particularly in high temperature, regions with lower SDI, and the older population. Appropriate temperature interventions are necessary to curb climate change and increasing diabetes.
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Affiliation(s)
- Yang Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xuezan Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Ruyi Liang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Zhouzheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xiaojie You
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Min Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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13
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Bai J, Cui J, Yu C. Burden of chronic obstructive pulmonary disease attributable to non-optimal temperature from 1990 to 2019: a systematic analysis from the Global Burden of Disease Study 2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:68836-68847. [PMID: 37129808 DOI: 10.1007/s11356-023-27325-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 04/26/2023] [Indexed: 05/03/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) has been the third leading cause of death worldwide. As the traditional risk factors (like smoking and ambient air pollution) on the burden of COPD being well characterized, the burden of COPD due to non-optimal temperature has been widely concerned. In this study, we extracted the relevant burden data of COPD attributable to non-optimal temperature from GBD 2019 and adopted estimated annual percent changes, Gaussian process regression (GPR), and age-period-cohort model to evaluate the spatiotemporal patterns, relationships with socio-demographic level, and the independent effects of age, period and cohort from 1990 to 2019. In brief, the global COPD burden attributable to non-optimal temperatures showed declining trends but was still more severe in the elderly, males, Asia, and regions with low socio-demographic index (SDI). And cold had a greater burden than heat. The inverted U-shape is expected for the relationship between SDI and the burden of COPD caused by non-optimal temperatures according to the GPR model, with the inflection point around SDI 0.45. Besides, the improvements were observed in period and cohort effects but were relatively limited in low and low-middle SDI regions. Public health managers should execute more targeted programs to lessen this burden predominantly among lower SDI countries.
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Affiliation(s)
- Jianjun Bai
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No.185 Donghu Road, Wuhan, 430071, China
| | - Jiaxin Cui
- School of Nursing, Wuhan University, No.115 Donghu Road, Wuhan, 430071, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No.185 Donghu Road, Wuhan, 430071, China.
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14
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Cui Y, Yang W, Shuai J, Ma Y, Yan Y. High, low, and non-optimum temperatures exposure on road injuries in a changing climate: a secondary analysis based on the Global Burden of Disease Study 2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:11012-11024. [PMID: 36087177 DOI: 10.1007/s11356-022-22903-2] [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: 06/24/2022] [Accepted: 09/02/2022] [Indexed: 06/15/2023]
Abstract
Global warming in the twenty-first century has gradually made high temperatures a major threat to the global population. Health problems associated with extreme temperatures have become a growing public health concern worldwide. This study aimed to estimate road injuries stratified by sex, age, geographic location, and sociodemographic status attribute to high, low, and non-optimal temperatures in 21 regional and global. We used the Global Burden of Disease (GBD) Study Results Tool to examine the age-standardized death rates (ASDR) and disability-adjusted life years (DALYs) due to road injuries in 2019 by Joinpoint regression. In addition, we reported high, low, and non-optimal temperature exposures for road injuries across different groups by gender, age, region, and disease. Moreover, we examined temporal trends in the burden of road disease caused by high, low, and non-optimum temperatures from 1990 to 2019. Trend analyzes were conducted for five sociodemographic index (SDI) regions. Globally, both ASDR and DALY declined from 1990 to 2019, with average annual percent change (AAPC) values of - 1.3% and - 1.2%, respectively. In 2019, the indicators (death and DALYs) steadily declined, while SDI quintile increased in most regions. Road injuries related to death and DALYs rate attributed to high temperatures were 0.17 and 8.50, respectively, in 2019. From 1990 to 2019, DALYs for road injuries caused by low temperatures showed the most significant upward trend in most regions, especially in low-latitude countries. This study provides a comprehensive understanding of the road injury burden caused by high, low, and non-optimum temperatures, which remains high in regions with low SDI. Therefore, special attention should be paid to road injuries in poor countries or in areas with extreme temperatures.
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Affiliation(s)
- Yiran Cui
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Wenyan Yang
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Jingliang Shuai
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Yulan Ma
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Yan Yan
- Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
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15
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Shan X, Tian X, Wang B, He L, Zhang L, Xue B, Liu C, Zheng L, Yu Y, Luo B. A global burden assessment of lung cancer attributed to residential radon exposure during 1990-2019. INDOOR AIR 2022; 32:e13120. [PMID: 36305076 DOI: 10.1111/ina.13120] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 08/30/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
This study aimed to explore the spatial and temporal trends of lung cancer burden attributable to residential radon exposure at the global, regional, and national levels. Based on the Global Burden of Disease Study (GBD) 2019, we collected the age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life rate (ASDR) of lung cancer attributable to residential radon exposure from 1990 to 2019. The Joinpoint model was used to calculate the annual average percentage change (AAPC) to evaluate the trend of ASMR and ASDR from 1990 to 2019. The locally weighted regression (LOESS) was used to estimate the relationship of the socio-demographic index (SDI) with ASMR and ASDR. In 2019, the global ASMR and ASDR for lung cancer attributable to residential radon exposure were 1.03 (95% CI: 0.20, 2.00) and 22.66 (95% CI: 4.49, 43.94) per 100 000 population, which were 15.6% and 23.0% lower than in 1990, respectively. According to the estimation, we found the lung cancer burden attributable to residential radon exposure declined significantly in high and high-middle SDI regions, but substantially increased in middle and low-middle SDI regions from 1990 to 2019. Across age and sex, the highest burden of lung cancer attributable to residential radon exposure was found in males and elderly groups. In conclusion, the global burden of lung cancer attributable to residential radon exposure showed a declining trend from 1990 to 2019, but a relatively large increase was found in the middle SDI regions. In 2019, the burden of lung cancer attributable to residential radon exposure remained high, particularly in males, the elderly, and high-middle SDI regions compared with other groups.
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Affiliation(s)
- Xiaobing Shan
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaoyu Tian
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Bo Wang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Li He
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Ling Zhang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Baode Xue
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Ce Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Ling Zheng
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yunhui Yu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
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