Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese city
BackgroundExtreme precipitation events are becoming more frequent due to climate change. The present study aimed to explore the impacts of extreme precipitation on hospitalizations for acute aortic dissection (AAD) and to identify susceptible populations and quantify the corresponding disease burden...
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| Format: | Article |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1216847/full |
| _version_ | 1797791859469189120 |
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| author | Yanhu Ji Jianping Xiong Zhongjia Yuan Zepeng Huang Liping Li Liping Li |
| author_facet | Yanhu Ji Jianping Xiong Zhongjia Yuan Zepeng Huang Liping Li Liping Li |
| author_sort | Yanhu Ji |
| collection | DOAJ |
| description | BackgroundExtreme precipitation events are becoming more frequent due to climate change. The present study aimed to explore the impacts of extreme precipitation on hospitalizations for acute aortic dissection (AAD) and to identify susceptible populations and quantify the corresponding disease burden.MethodsThe present study used a distributed lag nonlinear model (DLNM) with a quasi-Poisson function to investigate the association between extreme precipitation (≥95th percentile) and the risk of hospitalizations for AAD from 2015 to 2020 in Shantou, Guangdong Province, China.ResultsThe significant adverse effects of extreme precipitation (relative to no precipitation) on daily AAD hospitalizations lasted from lag 5 [relative risk (RR): 1.0318, 95% confidence interval (CI): 1.0067–1.0575] to lag 9 (RR: 1.0297, 95% CI: 1.0045–1.0555) and reached its maximum at lag 7 (RR: 1.0382, 95% CI: 1.0105–1.0665). Males and older adult individuals (≥60 years) were more susceptible to extreme precipitation. A total of 3.68% (118 cases) of AAD hospitalizations were due to extreme precipitation.ConclusionExtreme precipitation was significantly correlated with AAD hospitalizations. Government departments should actively implement extreme precipitation intervention measures to strengthen the protection of males and the older adult (≥60 years) and effectively reduce AAD hospitalizations. |
| first_indexed | 2024-03-13T02:24:48Z |
| format | Article |
| id | doaj.art-1f4a2d82007847c9b211a688d70295ba |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-03-13T02:24:48Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-1f4a2d82007847c9b211a688d70295ba2023-06-30T04:51:55ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-06-011110.3389/fpubh.2023.12168471216847Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese cityYanhu Ji0Jianping Xiong1Zhongjia Yuan2Zepeng Huang3Liping Li4Liping Li5School of Public Health, Shantou University, Shantou, ChinaThe First Affiliated Hospital of Shantou University Medical College, Shantou, ChinaShantou Central Hospital, Shantou, ChinaThe Second Affiliated Hospital of Shantou University Medical College, Shantou, ChinaSchool of Public Health, Shantou University, Shantou, ChinaInjury Prevention Research Center, Shantou University Medical College, Shantou, ChinaBackgroundExtreme precipitation events are becoming more frequent due to climate change. The present study aimed to explore the impacts of extreme precipitation on hospitalizations for acute aortic dissection (AAD) and to identify susceptible populations and quantify the corresponding disease burden.MethodsThe present study used a distributed lag nonlinear model (DLNM) with a quasi-Poisson function to investigate the association between extreme precipitation (≥95th percentile) and the risk of hospitalizations for AAD from 2015 to 2020 in Shantou, Guangdong Province, China.ResultsThe significant adverse effects of extreme precipitation (relative to no precipitation) on daily AAD hospitalizations lasted from lag 5 [relative risk (RR): 1.0318, 95% confidence interval (CI): 1.0067–1.0575] to lag 9 (RR: 1.0297, 95% CI: 1.0045–1.0555) and reached its maximum at lag 7 (RR: 1.0382, 95% CI: 1.0105–1.0665). Males and older adult individuals (≥60 years) were more susceptible to extreme precipitation. A total of 3.68% (118 cases) of AAD hospitalizations were due to extreme precipitation.ConclusionExtreme precipitation was significantly correlated with AAD hospitalizations. Government departments should actively implement extreme precipitation intervention measures to strengthen the protection of males and the older adult (≥60 years) and effectively reduce AAD hospitalizations.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1216847/fullacute aortic dissectiondisease burdentime seriesextreme precipitationdistributed lag nonlinear model |
| spellingShingle | Yanhu Ji Jianping Xiong Zhongjia Yuan Zepeng Huang Liping Li Liping Li Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese city Frontiers in Public Health acute aortic dissection disease burden time series extreme precipitation distributed lag nonlinear model |
| title | Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese city |
| title_full | Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese city |
| title_fullStr | Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese city |
| title_full_unstemmed | Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese city |
| title_short | Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese city |
| title_sort | risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal chinese city |
| topic | acute aortic dissection disease burden time series extreme precipitation distributed lag nonlinear model |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1216847/full |
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