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Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US

An association between climatic conditions and asthma mortality has been widely assumed. However, it is unclear whether climatic variations have a fingerprint on asthma dynamics over long time intervals. The aim of this study is to detect a possible correlation between climatic indices, namely the A...

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Autores principales: Bonomo, Sergio, Ferrante, Giuliana, Palazzi, Elisa, Pelosi, Nicola, Lirer, Fabrizio, Viegi, Giovanni, La Grutta, Stefania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690970/
https://www.ncbi.nlm.nih.gov/pubmed/31406172
http://dx.doi.org/10.1038/s41598-019-48178-1
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author Bonomo, Sergio
Ferrante, Giuliana
Palazzi, Elisa
Pelosi, Nicola
Lirer, Fabrizio
Viegi, Giovanni
La Grutta, Stefania
author_facet Bonomo, Sergio
Ferrante, Giuliana
Palazzi, Elisa
Pelosi, Nicola
Lirer, Fabrizio
Viegi, Giovanni
La Grutta, Stefania
author_sort Bonomo, Sergio
collection PubMed
description An association between climatic conditions and asthma mortality has been widely assumed. However, it is unclear whether climatic variations have a fingerprint on asthma dynamics over long time intervals. The aim of this study is to detect a possible correlation between climatic indices, namely the Atlantic Multidecadal Oscillation and Pacific Decadal Oscillation, and asthma mortality rates over the period from 1950 to 2015 in the contiguous US. To this aim, an analysis of non-stationary and non-linear signals was performed on time series of US annual asthma mortality rates, AMO and PDO indices to search for characteristic periodicities. Results revealed that asthma death rates evaluated for four different age groups (5–14 yr; 15–24 yr; 25–34 yr; 35–44 yr) share the same pattern of fluctuation throughout the 1950–2015 time interval, but different trends, i.e. a positive (negative) trend for the two youngest (oldest) categories. Annual asthma death rates turned out to be correlated with the dynamics of the AMO, and also modulated by the PDO, sharing the same averaged ∼44 year-periodicity. The results of the current study suggest that, since climate patterns have proved to influence asthma mortality rates, they could be advisable in future studies aimed at elucidating the complex relationships between climate and asthma mortality.
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spelling pubmed-66909702019-08-15 Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US Bonomo, Sergio Ferrante, Giuliana Palazzi, Elisa Pelosi, Nicola Lirer, Fabrizio Viegi, Giovanni La Grutta, Stefania Sci Rep Article An association between climatic conditions and asthma mortality has been widely assumed. However, it is unclear whether climatic variations have a fingerprint on asthma dynamics over long time intervals. The aim of this study is to detect a possible correlation between climatic indices, namely the Atlantic Multidecadal Oscillation and Pacific Decadal Oscillation, and asthma mortality rates over the period from 1950 to 2015 in the contiguous US. To this aim, an analysis of non-stationary and non-linear signals was performed on time series of US annual asthma mortality rates, AMO and PDO indices to search for characteristic periodicities. Results revealed that asthma death rates evaluated for four different age groups (5–14 yr; 15–24 yr; 25–34 yr; 35–44 yr) share the same pattern of fluctuation throughout the 1950–2015 time interval, but different trends, i.e. a positive (negative) trend for the two youngest (oldest) categories. Annual asthma death rates turned out to be correlated with the dynamics of the AMO, and also modulated by the PDO, sharing the same averaged ∼44 year-periodicity. The results of the current study suggest that, since climate patterns have proved to influence asthma mortality rates, they could be advisable in future studies aimed at elucidating the complex relationships between climate and asthma mortality. Nature Publishing Group UK 2019-08-12 /pmc/articles/PMC6690970/ /pubmed/31406172 http://dx.doi.org/10.1038/s41598-019-48178-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bonomo, Sergio
Ferrante, Giuliana
Palazzi, Elisa
Pelosi, Nicola
Lirer, Fabrizio
Viegi, Giovanni
La Grutta, Stefania
Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US
title Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US
title_full Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US
title_fullStr Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US
title_full_unstemmed Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US
title_short Evidence for a link between the Atlantic Multidecadal Oscillation and annual asthma mortality rates in the US
title_sort evidence for a link between the atlantic multidecadal oscillation and annual asthma mortality rates in the us
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690970/
https://www.ncbi.nlm.nih.gov/pubmed/31406172
http://dx.doi.org/10.1038/s41598-019-48178-1
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