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Risk-prediction model for acute myocardial infarction using atmospheric pressure data <Original Articles>
https://doi.org/10.15027/35254
https://doi.org/10.15027/35254a4c8f02b-3d69-4691-a719-2a13b50e5b6f
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
JHSHU_11-2_43.pdf (1016.5 KB)
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| Item type | デフォルトアイテムタイプ_（フル）(1) | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-03-18 | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | Risk-prediction model for acute myocardial infarction using atmospheric pressure data <Original Articles> | |||||||||||||||||
| 言語 | ja | |||||||||||||||||
| 作成者 |
恒松, 美輪子
× 恒松, 美輪子
× 梯, 正之
× Matsumura, Makoto
× HEWS group
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| アクセス権 | ||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||||||||
| 権利情報 | ||||||||||||||||||
| 権利情報 | Copyright (c) 2013 広島大学保健学出版会 | |||||||||||||||||
| 主題 | ||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | myocardial infarction | |||||||||||||||||
| 主題 | ||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | atmospheric pressure | |||||||||||||||||
| 主題 | ||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | prevention | |||||||||||||||||
| 主題 | ||||||||||||||||||
| 主題Scheme | NDC | |||||||||||||||||
| 主題 | 490 | |||||||||||||||||
| 内容記述 | ||||||||||||||||||
| 内容記述 | Prediction of high-risk days for onset of acute myocardial infarction (AMI) would aid prevention by taking specific actions on such days. To construct a predictive model, we investigated meteorological conditions related to high risk, with particular attention to atmospheric pressure. The data used were records of conveyance by ambulances in the city of Hiroshima from January 1993 to December 2002, and corresponding meteorological data in the area. We used a Poisson regression model and several variables representing different critical conditions of atmospheric pressure decline. Finally, we selected the best model according to Akaike's Information Criterion (AIC). A prediction model using a continuous variable of daily mean atmospheric temperature was established as the baseline model. Among models using different variables, one using weather pattern variables achieved the lowest AIC, showing it to be the best choice. In this model, strong winter patterns on the previous day were correlated with high risk of AMI. The following meteorological factors were particularly related to high AMI risk: 1) A weather chart showing a strong winter pattern on the previous day, and 2) a decline in atmospheric pressure ≥ 16 hPa in addition to low atmospheric temperature. Such a strong winter pattern is easy to use and will improve performance of the Hiroshima prefectural AMI alert system. | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 出版者 | ||||||||||||||||||
| 出版者 | 広島大学保健学出版会 | |||||||||||||||||
| 言語 | ||||||||||||||||||
| 言語 | jpn | |||||||||||||||||
| 資源タイプ | ||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||
| 資源タイプ | departmental bulletin paper | |||||||||||||||||
| 出版タイプ | ||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||
| ID登録 | ||||||||||||||||||
| ID登録 | 10.15027/35254 | |||||||||||||||||
| ID登録タイプ | JaLC | |||||||||||||||||
| 収録物識別子 | ||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 1347-7323 | |||||||||||||||||
| 収録物識別子 | ||||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||||
| 収録物識別子 | AA11601063 | |||||||||||||||||
| 開始ページ | ||||||||||||||||||
| 開始ページ | 43 | |||||||||||||||||
| 書誌情報 |
広島大学保健学ジャーナル Journal of health sciences, Hiroshima University 巻 11, 号 2, p. 43-51, 発行日 2013-10-31 |
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| 旧ID | 35254 | |||||||||||||||||
