| Seasons, temperature and coronary disease. | |
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MedLine Citation:
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PMID: 8225736 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Using data from a community-based register of heart disease (the WHO MONICA Project) associations between daily temperature, rainfall and other seasonal effects were investigated in relation to fatal coronary events and non-fatal definite myocardial infarctions in an Australian population. Coronary events, both fatal and non-fatal, were 20-40% more likely to occur in winter and spring than at other times of the year. Coronary deaths were more likely to occur on days of low temperature (and to a much lesser extent, on days of high temperature). No differences were found between patterns of sudden and non-sudden deaths (those occurring later after the onset of symptoms) associated with weather conditions. Statistical models allowing simultaneously for longer-term seasonal effects and daily temperature effects suggested that both exist. These results suggest that avoiding temperature stress could lead to reductions in the annual peaks in coronary events. |
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Authors:
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F Enquselassie; A J Dobson; H M Alexander; P L Steele |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: International journal of epidemiology Volume: 22 ISSN: 0300-5771 ISO Abbreviation: Int J Epidemiol Publication Date: 1993 Aug |
Date Detail:
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Created Date: 1993-12-06 Completed Date: 1993-12-06 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 7802871 Medline TA: Int J Epidemiol Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 632-6 Citation Subset: IM |
Affiliation:
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Department of Community Health, Addis Ababa University, Ethiopia. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Aged Death, Sudden, Cardiac / epidemiology* Female Humans Logistic Models Male Middle Aged Models, Statistical* Myocardial Infarction / epidemiology, mortality* New South Wales / epidemiology Odds Ratio Population Surveillance* Rain Registries* Risk Factors Seasons* Temperature* |
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