Your browser doesn't support javascript.
loading
Fluctuating temperature modifies heat-mortality association around the globe.
Wu, Yao; Wen, Bo; Li, Shanshan; Gasparrini, Antonio; Tong, Shilu; Overcenco, Ala; Urban, Ales; Schneider, Alexandra; Entezari, Alireza; Vicedo-Cabrera, Ana Maria; Zanobetti, Antonella; Analitis, Antonis; Zeka, Ariana; Tobias, Aurelio; Alahmad, Barrak; Armstrong, Ben; Forsberg, Bertil; 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; Sera, Francesco; Carrasco-Escobar, Gabriel; Kan, Haidong; Orru, Hans; Kim, Ho; Holobaca, Iulian-Horia; Kyselý, Jan; Madureira, Joana; Schwartz, Joel; Katsouyanni, Klea; Hurtado-Diaz, Magali; Ragettli, Martina S; Hashizume, Masahiro; Pascal, Mathilde; de Sousa Zanotti Stagliorio Coélho, Micheline; Scovronick, Noah; Michelozzi, Paola; Goodman, Patrick; Nascimento Saldiva, Paulo Hilario; Abrutzky, Rosana; Osorio, Samuel.
Afiliação
  • Wu Y; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia.
  • Wen B; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia.
  • Li S; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia.
  • Gasparrini A; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia.
  • Tong S; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia.
  • Overcenco A; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia.
  • Urban A; Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.
  • Schneider A; Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.
  • Entezari A; Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.
  • Vicedo-Cabrera AM; Shanghai Children's Medical Centre, Shanghai Jiao Tong University, Shanghai 200025, China.
  • Zanobetti A; School of Public Health, Institute of Environment and Human Health, Anhui Medical University, Hefei 230032, China.
  • Analitis A; Center for Global Health, Nanjing Medical University, Nanjing 211166, China.
  • Zeka A; School of Public Health and Social Work, Queensland University of Technology, Brisbane 4000, Australia.
  • Tobias A; National Agency for Public Health of the Ministry of Health, Labour, and Social Protection of the Republic of Moldova, Chisinau MD-2009, Republic of Moldova.
  • Alahmad B; Institute of Atmospheric Physics, Czech Academy of Sciences, Prague 141 00, Czech Republic.
  • Armstrong B; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague 165 00, Czech Republic.
  • Forsberg B; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85747, Germany.
  • Íñiguez C; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia.
  • Ameling C; Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617976487, Iran.
  • De la Cruz Valencia C; Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.
  • Åström C; Institute of Social and Preventive Medicine, University of Bern, Bern 3012, Switzerland.
  • Houthuijs D; Oeschger Center for Climate Change Research, University of Bern, Bern 3012, Switzerland.
  • Van Dung D; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
  • Royé D; Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens 11527, Greece.
  • Indermitte E; Institute for Environment, Health, and Societies, Brunel University London, London UB8 3PN, UK.
  • Lavigne E; Institute of Environmental Assessment and Water Research, Spanish Council for Scientific Research, Barcelona 08034, Spain.
  • Mayvaneh F; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8521, Japan.
  • Acquaotta F; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
  • de'Donato F; Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.
  • Sera F; Department of Public Health and Clinical Medicine, Umeå University, Umeå 901 87, Sweden.
  • Carrasco-Escobar G; Department of Statistics and Computational Research, Universitat de València, València 46003, Spain.
  • Kan H; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain.
  • Orru H; National Institute for Public Health and the Environment (RIVM), Centre for Sustainability and Environmental Health, Bilthoven 3720 BA, Netherlands.
  • Kim H; Department of Environmental Health, National Institute of Public Health, Cuernavaca Morelos 62100, Mexico.
  • Holobaca IH; Department of Public Health and Clinical Medicine, Umeå University, Umeå 901 87, Sweden.
  • Kyselý J; National Institute for Public Health and the Environment (RIVM), Centre for Sustainability and Environmental Health, Bilthoven 3720 BA, Netherlands.
  • Madureira J; Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 17000, Vietnam.
  • Schwartz J; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain.
  • Katsouyanni K; Department of Geography, University of Santiago de Compostela, Santiago de Compostela 15705, Spain.
  • Hurtado-Diaz M; Institute of Family Medicine and Public Health, University of Tartu, Tartu 50090, Estonia.
  • Ragettli MS; School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
  • Hashizume M; Air Health Science Division, Health Canada, Ottawa, ON K1A 0K9, Canada.
  • Pascal M; Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617976487, Iran.
  • de Sousa Zanotti Stagliorio Coélho M; Department of Earth Sciences, University of Turin, Turin 10125, Italy.
  • Scovronick N; Department of Epidemiology, Lazio Regional Health Service, Rome 00147, Italy.
  • Michelozzi P; Department of Statistics, Computer Science, and Applications "G. Parenti", University of Florence, Florence 50121, Italy.
  • Goodman P; Health Innovation Laboratory, Institute of Tropical Medicine "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima 15102, Peru.
  • Nascimento Saldiva PH; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA.
  • Abrutzky R; Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
  • Osorio S; Institute of Family Medicine and Public Health, University of Tartu, Tartu 50090, Estonia.
Innovation (Camb) ; 3(2): 100225, 2022 Mar 29.
Article em En | MEDLINE | ID: mdl-35340394
Studies have investigated the effects of heat and temperature variability (TV) on mortality. However, few assessed whether TV modifies the heat-mortality association. Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries. TV was calculated as the standard deviation of the average of the same and previous days' minimum and maximum temperatures. We used location-specific quasi-Poisson regression models with an interaction term between the cross-basis term for mean temperature and quartiles of TV to obtain heat-mortality associations under each quartile of TV, and then pooled estimates at the country, regional, and global levels. Results show the increased risk in heat-related mortality with increments in TV, accounting for 0.70% (95% confidence interval [CI]: -0.33 to 1.69), 1.34% (95% CI: -0.14 to 2.73), 1.99% (95% CI: 0.29-3.57), and 2.73% (95% CI: 0.76-4.50) of total deaths for Q1-Q4 (first quartile-fourth quartile) of TV. The modification effects of TV varied geographically. Central Europe had the highest attributable fractions (AFs), corresponding to 7.68% (95% CI: 5.25-9.89) of total deaths for Q4 of TV, while the lowest AFs were observed in North America, with the values for Q4 of 1.74% (95% CI: -0.09 to 3.39). TV had a significant modification effect on the heat-mortality association, causing a higher heat-related mortality burden with increments of TV. Implementing targeted strategies against heat exposure and fluctuant temperatures simultaneously would benefit public health.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Innovation (Camb) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Innovation (Camb) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália País de publicação: Estados Unidos