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Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions

BACKGROUND: Numerous studies have reported a strong association between temperature and mortality. Additional insights can be gained from investigating the effects of temperature on years of life lost (YLL), considering the life expectancy at the time of death. OBJECTIVES: The goal of this work was...

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Autores principales: Odhiambo Sewe, Maquins, Bunker, Aditi, Ingole, Vijendra, Egondi, Thaddaeus, Oudin Åström, Daniel, Hondula, David M., Rocklöv, Joacim, Schumann, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014689/
https://www.ncbi.nlm.nih.gov/pubmed/29342452
http://dx.doi.org/10.1289/EHP1745
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author Odhiambo Sewe, Maquins
Bunker, Aditi
Ingole, Vijendra
Egondi, Thaddaeus
Oudin Åström, Daniel
Hondula, David M.
Rocklöv, Joacim
Schumann, Barbara
author_facet Odhiambo Sewe, Maquins
Bunker, Aditi
Ingole, Vijendra
Egondi, Thaddaeus
Oudin Åström, Daniel
Hondula, David M.
Rocklöv, Joacim
Schumann, Barbara
author_sort Odhiambo Sewe, Maquins
collection PubMed
description BACKGROUND: Numerous studies have reported a strong association between temperature and mortality. Additional insights can be gained from investigating the effects of temperature on years of life lost (YLL), considering the life expectancy at the time of death. OBJECTIVES: The goal of this work was to assess the association between temperature and YLL at seven low-, middle-, and high-income sites. METHODS: We obtained meteorological and population data for at least nine years from four Health and Demographic Surveillance Sites in Kenya (western Kenya, Nairobi), Burkina Faso (Nouna), and India (Vadu), as well as data from cities in the United States (Philadelphia, Phoenix) and Sweden (Stockholm). A distributed lag nonlinear model was used to estimate the association of daily maximum temperature and daily YLL, lagged 0–14 d. The reference value was set for each site at the temperature with the lowest YLL. RESULTS: Generally, YLL increased with higher temperature, starting day 0. In Nouna, the hottest location, with a minimum YLL temperature at the first percentile, YLL increased consistently with higher temperatures. In Vadu, YLL increased in association with heat, whereas in Nairobi, YLL increased in association with both low and high temperatures. Associations with cold and heat were evident for Phoenix (stronger for heat), Stockholm, and Philadelphia (both stronger for cold). Patterns of associations with mortality were generally similar to those with YLL. CONCLUSIONS: Both high and low temperatures are associated with YLL in high-, middle-, and low-income countries. Policy guidance and health adaptation measures might be improved with more comprehensive indicators of the health burden of high and low temperatures such as YLL. https://doi.org/10.1289/EHP1745
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spelling pubmed-60146892018-06-27 Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions Odhiambo Sewe, Maquins Bunker, Aditi Ingole, Vijendra Egondi, Thaddaeus Oudin Åström, Daniel Hondula, David M. Rocklöv, Joacim Schumann, Barbara Environ Health Perspect Research BACKGROUND: Numerous studies have reported a strong association between temperature and mortality. Additional insights can be gained from investigating the effects of temperature on years of life lost (YLL), considering the life expectancy at the time of death. OBJECTIVES: The goal of this work was to assess the association between temperature and YLL at seven low-, middle-, and high-income sites. METHODS: We obtained meteorological and population data for at least nine years from four Health and Demographic Surveillance Sites in Kenya (western Kenya, Nairobi), Burkina Faso (Nouna), and India (Vadu), as well as data from cities in the United States (Philadelphia, Phoenix) and Sweden (Stockholm). A distributed lag nonlinear model was used to estimate the association of daily maximum temperature and daily YLL, lagged 0–14 d. The reference value was set for each site at the temperature with the lowest YLL. RESULTS: Generally, YLL increased with higher temperature, starting day 0. In Nouna, the hottest location, with a minimum YLL temperature at the first percentile, YLL increased consistently with higher temperatures. In Vadu, YLL increased in association with heat, whereas in Nairobi, YLL increased in association with both low and high temperatures. Associations with cold and heat were evident for Phoenix (stronger for heat), Stockholm, and Philadelphia (both stronger for cold). Patterns of associations with mortality were generally similar to those with YLL. CONCLUSIONS: Both high and low temperatures are associated with YLL in high-, middle-, and low-income countries. Policy guidance and health adaptation measures might be improved with more comprehensive indicators of the health burden of high and low temperatures such as YLL. https://doi.org/10.1289/EHP1745 Environmental Health Perspectives 2018-01-12 /pmc/articles/PMC6014689/ /pubmed/29342452 http://dx.doi.org/10.1289/EHP1745 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.
spellingShingle Research
Odhiambo Sewe, Maquins
Bunker, Aditi
Ingole, Vijendra
Egondi, Thaddaeus
Oudin Åström, Daniel
Hondula, David M.
Rocklöv, Joacim
Schumann, Barbara
Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions
title Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions
title_full Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions
title_fullStr Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions
title_full_unstemmed Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions
title_short Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions
title_sort estimated effect of temperature on years of life lost: a retrospective time-series study of low-, middle-, and high-income regions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014689/
https://www.ncbi.nlm.nih.gov/pubmed/29342452
http://dx.doi.org/10.1289/EHP1745
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