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Global, regional, and national burden of mortality associated with short-term temperature variability from 2000-19: a three-stage modelling study.
Wu, Yao; Li, Shanshan; Zhao, Qi; Wen, Bo; Gasparrini, Antonio; Tong, Shilu; Overcenco, Ala; Urban, Ales; Schneider, Alexandra; Entezari, Alireza; Vicedo-Cabrera, Ana Maria; Zanobetti, Antonella; Analitis, Antonis; Zeka, Ariana; Tobias, Aurelio; Nunes, Baltazar; Alahmad, Barrak; Armstrong, Ben; Forsberg, Bertil; Pan, Shih-Chun; Íñiguez, Carmen; Ameling, Caroline; De la Cruz Valencia, César; Åström, Christofer; Houthuijs, Danny; Van Dung, Do; Royé, Dominic; Indermitte, Ene; Lavigne, Eric; Mayvaneh, Fatemeh; Acquaotta, Fiorella; de'Donato, Francesca; Rao, Shilpa; Sera, Francesco; Carrasco-Escobar, Gabriel; Kan, Haidong; Orru, Hans; Kim, Ho; Holobaca, Iulian-Horia; Kyselý, Jan; Madureira, Joana; Schwartz, Joel; Jaakkola, Jouni J K; Katsouyanni, Klea; Hurtado Diaz, Magali; Ragettli, Martina S; Hashizume, Masahiro; Pascal, Mathilde; de Sousa Zanotti Stagliorio Coélho, Micheline; Ortega, Nicolás Valdés.
  • Wu Y; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
  • Li S; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. Electronic address: sh
  • Zhao Q; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Wen B; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
  • Gasparrini A; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change & Planetary Health, London School of Hygiene & Tropi
  • Tong S; Shanghai Children's Medical Centre, Shanghai Jiao Tong University, Shanghai, China; School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China; Center for Global Health, Nanjing Medical University, Nanjing, China; School of Public Health and Socia
  • Overcenco A; National Agency for Public Health of the Ministry of Health, Labour and Social Protection of the Republic of Moldova, Chișinau, Moldova.
  • Urban A; Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic.
  • Schneider A; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Entezari A; Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Iran.
  • Vicedo-Cabrera AM; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland.
  • Zanobetti A; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Analitis A; Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens, Greece.
  • Zeka A; Institute for Environment, Health and Societies, Brunel University London, London, UK.
  • Tobias A; Institute of Environmental Assessment and Water Research, Spanish Council for Scientific Research, Barcelona, Spain; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
  • Nunes B; Department of Epidemiology, Instituto Nacional de Saúde Dr Ricardo Jorge, Porto, Portugal; Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Lisbon, Portugal.
  • Alahmad B; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Armstrong B; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
  • Forsberg B; Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
  • Pan SC; NationalInstitute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan.
  • Íñiguez C; Department of Statistics and Computational Research, Universitat de València, València, Spain; CIBER of Epidemiology and Public Health, Madrid, Spain.
  • Ameling C; National Institute for Public Health and the Environment (RIVM), Centre for Sustainability and Environmental Health, Bilthoven, Netherlands.
  • De la Cruz Valencia C; Department of Environmental Health, National Institute of Public Health, Cuernavaca Morelos, Mexico.
  • Åström C; Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
  • Houthuijs D; National Institute for Public Health and the Environment (RIVM), Centre for Sustainability and Environmental Health, Bilthoven, Netherlands.
  • Van Dung D; Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
  • Royé D; CIBER of Epidemiology and Public Health, Madrid, Spain; Department of Geography, University of Santiago de Compostela, Santiago de Compostela, Spain.
  • Indermitte E; Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
  • Lavigne E; School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada; Air Health Science Division, Health Canada, Ottawa, ON, Canada.
  • Mayvaneh F; Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Iran.
  • Acquaotta F; Department of Earth Sciences, University of Torino, Turin, Italy.
  • de'Donato F; Department of Epidemiology, Lazio Regional Health Service, Rome, Italy.
  • Rao S; Norwegian Institute of Public Health, Oslo, Norway.
  • Sera F; Department of Statistics, Computer Science and Applications "G Parenti", University of Florence, Florence, Italy.
  • Carrasco-Escobar G; Health Innovation Lab, Institute of Tropical Medicine "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA.
  • Kan H; Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China.
  • Orru H; Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
  • Kim H; Graduate School of Public Health, Seoul National University, Seoul, South Korea.
  • Holobaca IH; Faculty of Geography, Babes-Bolyai University, Cluj-Napoca, Romania.
  • Kyselý J; Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic.
  • Madureira J; Environmental Health Department, Instituto Nacional de Saúde Dr Ricardo Jorge, Porto, Portugal; EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal.
  • Schwartz J; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Jaakkola JJK; Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland; Medical Research Center Oulu (MRC Oulu), Oulu University Hospital and University of Oulu, Oulu, Finland.
  • Katsouyanni K; Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens, Greece; School of Population Health and Environmental Sciences, King's College London, London, UK.
  • Hurtado Diaz M; Department of Environmental Health, National Institute of Public Health, Cuernavaca Morelos, Mexico.
  • Ragettli MS; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
  • Hashizume M; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Pascal M; Santé Publique France, Department of Environmental and Occupational Health, French National Public Health Agency, Saint Maurice, France.
  • de Sousa Zanotti Stagliorio Coélho M; Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.
  • Ortega NV; Department of Public Health, Universidad de los Andes, Santiago, Chile.
Lancet Planet Health ; 6(5): e410-e421, 2022 05.
Article in English | MEDLINE | ID: covidwho-1889994
ABSTRACT

BACKGROUND:

Increased mortality risk is associated with short-term temperature variability. However, to our knowledge, there has been no comprehensive assessment of the temperature variability-related mortality burden worldwide. In this study, using data from the MCC Collaborative Research Network, we first explored the association between temperature variability and mortality across 43 countries or regions. Then, to provide a more comprehensive picture of the global burden of mortality associated with temperature variability, global gridded temperature data with a resolution of 0·5°â€ˆ× 0·5° were used to assess the temperature variability-related mortality burden at the global, regional, and national levels. Furthermore, temporal trends in temperature variability-related mortality burden were also explored from 2000-19.

METHODS:

In this modelling study, we applied a three-stage meta-analytical approach to assess the global temperature variability-related mortality burden at a spatial resolution of 0·5°â€ˆ× 0·5° from 2000-19. Temperature variability was calculated as the SD of the average of the same and previous days' minimum and maximum temperatures. We first obtained location-specific temperature variability related-mortality associations based on a daily time series of 750 locations from the Multi-country Multi-city Collaborative Research Network. We subsequently constructed a multivariable meta-regression model with five predictors to estimate grid-specific temperature variability related-mortality associations across the globe. Finally, percentage excess in mortality and excess mortality rate were calculated to quantify the temperature variability-related mortality burden and to further explore its temporal trend over two decades.

FINDINGS:

An increasing trend in temperature variability was identified at the global level from 2000 to 2019. Globally, 1 753 392 deaths (95% CI 1 159 901-2 357 718) were associated with temperature variability per year, accounting for 3·4% (2·2-4·6) of all deaths. Most of Asia, Australia, and New Zealand were observed to have a higher percentage excess in mortality than the global mean. Globally, the percentage excess in mortality increased by about 4·6% (3·7-5·3) per decade. The largest increase occurred in Australia and New Zealand (7·3%, 95% CI 4·3-10·4), followed by Europe (4·4%, 2·2-5·6) and Africa (3·3, 1·9-4·6).

INTERPRETATION:

Globally, a substantial mortality burden was associated with temperature variability, showing geographical heterogeneity and a slightly increasing temporal trend. Our findings could assist in raising public awareness and improving the understanding of the health impacts of temperature variability.

FUNDING:

Australian Research Council, Australian National Health & Medical Research Council.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Global Health / Biodiversity Type of study: Experimental Studies / Prognostic study / Reviews Limits: Female / Humans / Pregnancy Country/Region as subject: Oceania Language: English Journal: Lancet Planet Health Year: 2022 Document Type: Article Affiliation country: S2542-5196(22)00073-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Global Health / Biodiversity Type of study: Experimental Studies / Prognostic study / Reviews Limits: Female / Humans / Pregnancy Country/Region as subject: Oceania Language: English Journal: Lancet Planet Health Year: 2022 Document Type: Article Affiliation country: S2542-5196(22)00073-0