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Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach
Background: Floods represent a serious threat to human health beyond the immediate risk of drowning. There is few data on the potential link between floods and direct consequences on health such as on cardiovascular health. This study aimed to explore the impact of one of the worst floods in the his...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772188/ https://www.ncbi.nlm.nih.gov/pubmed/26828511 http://dx.doi.org/10.3390/ijerph13020168 |
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author | Vanasse, Alain Cohen, Alan Courteau, Josiane Bergeron, Patrick Dault, Roxanne Gosselin, Pierre Blais, Claudia Bélanger, Diane Rochette, Louis Chebana, Fateh |
author_facet | Vanasse, Alain Cohen, Alan Courteau, Josiane Bergeron, Patrick Dault, Roxanne Gosselin, Pierre Blais, Claudia Bélanger, Diane Rochette, Louis Chebana, Fateh |
author_sort | Vanasse, Alain |
collection | PubMed |
description | Background: Floods represent a serious threat to human health beyond the immediate risk of drowning. There is few data on the potential link between floods and direct consequences on health such as on cardiovascular health. This study aimed to explore the impact of one of the worst floods in the history of Quebec, Canada on acute cardiovascular diseases (CVD). Methods: A cohort study with a time series design with multiple control groups was built with the adult population identified in the Quebec Integrated Chronic Disease Surveillance System. A geographic information system approach was used to define the study areas. Logistic regressions were performed to compare the occurrence of CVD between groups. Results: The results showed a 25%–27% increase in the odds in the flooded population in spring 2011 when compared with the population in the same area in springs 2010 and 2012. Besides, an increase up to 69% was observed in individuals with a medical history of CVD. Conclusion: Despite interesting results, the association was not statistically significant. A possible explanation to this result can be that the population affected by the flood was probably too small to provide the statistical power to answer the question, and leaves open a substantial possibility for a real and large effect. |
format | Online Article Text |
id | pubmed-4772188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-47721882016-03-08 Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach Vanasse, Alain Cohen, Alan Courteau, Josiane Bergeron, Patrick Dault, Roxanne Gosselin, Pierre Blais, Claudia Bélanger, Diane Rochette, Louis Chebana, Fateh Int J Environ Res Public Health Article Background: Floods represent a serious threat to human health beyond the immediate risk of drowning. There is few data on the potential link between floods and direct consequences on health such as on cardiovascular health. This study aimed to explore the impact of one of the worst floods in the history of Quebec, Canada on acute cardiovascular diseases (CVD). Methods: A cohort study with a time series design with multiple control groups was built with the adult population identified in the Quebec Integrated Chronic Disease Surveillance System. A geographic information system approach was used to define the study areas. Logistic regressions were performed to compare the occurrence of CVD between groups. Results: The results showed a 25%–27% increase in the odds in the flooded population in spring 2011 when compared with the population in the same area in springs 2010 and 2012. Besides, an increase up to 69% was observed in individuals with a medical history of CVD. Conclusion: Despite interesting results, the association was not statistically significant. A possible explanation to this result can be that the population affected by the flood was probably too small to provide the statistical power to answer the question, and leaves open a substantial possibility for a real and large effect. MDPI 2016-01-28 2016-02 /pmc/articles/PMC4772188/ /pubmed/26828511 http://dx.doi.org/10.3390/ijerph13020168 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vanasse, Alain Cohen, Alan Courteau, Josiane Bergeron, Patrick Dault, Roxanne Gosselin, Pierre Blais, Claudia Bélanger, Diane Rochette, Louis Chebana, Fateh Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach |
title | Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach |
title_full | Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach |
title_fullStr | Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach |
title_full_unstemmed | Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach |
title_short | Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach |
title_sort | association between floods and acute cardiovascular diseases: a population-based cohort study using a geographic information system approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772188/ https://www.ncbi.nlm.nih.gov/pubmed/26828511 http://dx.doi.org/10.3390/ijerph13020168 |
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