Estimated effect of temperature on years of life lost : A retrospective time-series study of low-, middle-, and high-income regions
(2018) In Environmental Health Perspectives 126(1).- Abstract
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... (More)
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.
(Less)
- author
- Sewe, Maquins Odhiambo ; Bunker, Aditi ; Ingole, Vijendra ; Egondi, Thaddaeus ; Åström, Daniel Oudin LU ; Hondula, David M. ; Rocklöv, Joacim and Schumann, Barbara
- organization
- publishing date
- 2018-01-01
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Environmental Health Perspectives
- volume
- 126
- issue
- 1
- article number
- 017004
- publisher
- National Institute of Environmental Health Sciences
- external identifiers
-
- pmid:29342452
- scopus:85041391539
- ISSN
- 0091-6765
- DOI
- 10.1289/EHP1745
- language
- English
- LU publication?
- yes
- id
- 381611b1-1840-445f-bd99-88b8cfd4fbcf
- date added to LUP
- 2018-02-23 09:44:56
- date last changed
- 2024-03-31 23:58:09
@article{381611b1-1840-445f-bd99-88b8cfd4fbcf,
abstract = {{<p>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.</p>}},
author = {{Sewe, Maquins Odhiambo and Bunker, Aditi and Ingole, Vijendra and Egondi, Thaddaeus and Åström, Daniel Oudin and Hondula, David M. and Rocklöv, Joacim and Schumann, Barbara}},
issn = {{0091-6765}},
language = {{eng}},
month = {{01}},
number = {{1}},
publisher = {{National Institute of Environmental Health Sciences}},
series = {{Environmental Health Perspectives}},
title = {{Estimated effect of temperature on years of life lost : A retrospective time-series study of low-, middle-, and high-income regions}},
url = {{http://dx.doi.org/10.1289/EHP1745}},
doi = {{10.1289/EHP1745}},
volume = {{126}},
year = {{2018}},
}