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Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010–2012

BACKGROUND: Studies of thunderstorm asthma to understand risk factors using high-resolution climate data and asthma outcomes on a large scale are scarce. Moreover, thunderstorm asthma is not well studied in the United States. OBJECTIVES: We examined whether climate parameters involved in thunderstor...

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Autores principales: Park, Ju-Hyeong, Lee, Eungul, Fechter-Leggett, Ethan D., Williams, Ellie, Yadav, Shobha, Bakshi, Arundhati, Ebelt, Stefanie, Bell, Jesse E., Strosnider, Heather, Chew, Ginger L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347901/
https://www.ncbi.nlm.nih.gov/pubmed/35921071
http://dx.doi.org/10.1289/EHP10440
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author Park, Ju-Hyeong
Lee, Eungul
Fechter-Leggett, Ethan D.
Williams, Ellie
Yadav, Shobha
Bakshi, Arundhati
Ebelt, Stefanie
Bell, Jesse E.
Strosnider, Heather
Chew, Ginger L.
author_facet Park, Ju-Hyeong
Lee, Eungul
Fechter-Leggett, Ethan D.
Williams, Ellie
Yadav, Shobha
Bakshi, Arundhati
Ebelt, Stefanie
Bell, Jesse E.
Strosnider, Heather
Chew, Ginger L.
author_sort Park, Ju-Hyeong
collection PubMed
description BACKGROUND: Studies of thunderstorm asthma to understand risk factors using high-resolution climate data and asthma outcomes on a large scale are scarce. Moreover, thunderstorm asthma is not well studied in the United States. OBJECTIVES: We examined whether climate parameters involved in thunderstorms are associated with emergency department (ED) visits for acute asthma attacks in the United States. METHODS: We analyzed 63,789 asthma-related, daily ED visits for all age groups, and thunderstorm-associated climate data in Louisiana during 2010 through 2012. We performed time-series analyses using quasi-Poisson regression models with natural cubic splines of date, parish, holiday, day of week, season, daily maximum concentrations of ozone ([Formula: see text]) and fine particulate matter [PM [Formula: see text] in aerodynamic diameter ([Formula: see text])], and daily mean pressure, precipitation, and temperature. Because of a significant interaction effect between temperature and lightning days on asthma-related visits, we performed stratified analyses by days with/without lightning or thunderstorm (defined by any lightning and precipitation). RESULTS: On thunderstorm days, higher asthma-related ED visits were associated with higher daily mean precipitation [[Formula: see text] (95% CI: 1.009, 1.300)] and lower daily mean temperature [[Formula: see text] per 1°C change (1.000–1.021)] without carry-over effect to the next non-thunderstorm day. These higher risks were found mainly among children and adults [Formula: see text] of age. We observed similar results on lightning days. However, we did not find similar associations for non-thunderstorm or non-lightning days. Daily maximum [Formula: see text] and [Formula: see text] levels were not significantly associated with asthma ED visits on thunderstorm days. DISCUSSION: Higher precipitation and lower temperature on thunderstorm days appear to contribute to asthma attacks among people with asthma, suggesting they should consider taking precautions during thunderstorms. EDs should consider preparing for a potential increase of asthma-related visits and ensuring sufficient stock of emergency medication and supplies for forecasted severe thunderstorm days. https://doi.org/10.1289/EHP10440
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spelling pubmed-93479012022-08-05 Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010–2012 Park, Ju-Hyeong Lee, Eungul Fechter-Leggett, Ethan D. Williams, Ellie Yadav, Shobha Bakshi, Arundhati Ebelt, Stefanie Bell, Jesse E. Strosnider, Heather Chew, Ginger L. Environ Health Perspect Research BACKGROUND: Studies of thunderstorm asthma to understand risk factors using high-resolution climate data and asthma outcomes on a large scale are scarce. Moreover, thunderstorm asthma is not well studied in the United States. OBJECTIVES: We examined whether climate parameters involved in thunderstorms are associated with emergency department (ED) visits for acute asthma attacks in the United States. METHODS: We analyzed 63,789 asthma-related, daily ED visits for all age groups, and thunderstorm-associated climate data in Louisiana during 2010 through 2012. We performed time-series analyses using quasi-Poisson regression models with natural cubic splines of date, parish, holiday, day of week, season, daily maximum concentrations of ozone ([Formula: see text]) and fine particulate matter [PM [Formula: see text] in aerodynamic diameter ([Formula: see text])], and daily mean pressure, precipitation, and temperature. Because of a significant interaction effect between temperature and lightning days on asthma-related visits, we performed stratified analyses by days with/without lightning or thunderstorm (defined by any lightning and precipitation). RESULTS: On thunderstorm days, higher asthma-related ED visits were associated with higher daily mean precipitation [[Formula: see text] (95% CI: 1.009, 1.300)] and lower daily mean temperature [[Formula: see text] per 1°C change (1.000–1.021)] without carry-over effect to the next non-thunderstorm day. These higher risks were found mainly among children and adults [Formula: see text] of age. We observed similar results on lightning days. However, we did not find similar associations for non-thunderstorm or non-lightning days. Daily maximum [Formula: see text] and [Formula: see text] levels were not significantly associated with asthma ED visits on thunderstorm days. DISCUSSION: Higher precipitation and lower temperature on thunderstorm days appear to contribute to asthma attacks among people with asthma, suggesting they should consider taking precautions during thunderstorms. EDs should consider preparing for a potential increase of asthma-related visits and ensuring sufficient stock of emergency medication and supplies for forecasted severe thunderstorm days. https://doi.org/10.1289/EHP10440 Environmental Health Perspectives 2022-08-03 /pmc/articles/PMC9347901/ /pubmed/35921071 http://dx.doi.org/10.1289/EHP10440 Text en https://ehp.niehs.nih.gov/about-ehp/licenseEHP 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
Park, Ju-Hyeong
Lee, Eungul
Fechter-Leggett, Ethan D.
Williams, Ellie
Yadav, Shobha
Bakshi, Arundhati
Ebelt, Stefanie
Bell, Jesse E.
Strosnider, Heather
Chew, Ginger L.
Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010–2012
title Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010–2012
title_full Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010–2012
title_fullStr Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010–2012
title_full_unstemmed Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010–2012
title_short Associations of Emergency Department Visits for Asthma with Precipitation and Temperature on Thunderstorm Days: A Time-Series Analysis of Data from Louisiana, USA, 2010–2012
title_sort associations of emergency department visits for asthma with precipitation and temperature on thunderstorm days: a time-series analysis of data from louisiana, usa, 2010–2012
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347901/
https://www.ncbi.nlm.nih.gov/pubmed/35921071
http://dx.doi.org/10.1289/EHP10440
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